ENVIRONMENTAL RESEARCH  LABORATORY
     COL
       U, 8. aWHtOIIMIflTAl. PROTECTION ASEftCY
         OFFICE OF RESEARCH & DEVELOfSilKNT
        BtvmOMMEirrAi RESEARCH LABORATORY
                 SAQINE ISLAND
            GULF BREF.ZE, FLORIDA  32501

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ENVIRONMENTAL RESEARCH LABORATORY
            GULF BREEZE
                    LU
                    O
                    T
    COLLECTED REPRINTS
           1973-1974
      U. S. ENVIRONMENTAL PROTECTION AGENCY

       OFFICE OF RESEARCH & DEVELOPMENT
      ENVIRONMENTAL RESEARCH LABORATORY
             SABINE ISLAND
         GULF  BREEZE, FLORIDA  32561

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                     TABLE OF CONTENTS


Contribution
No.

126.  GERALD E. WALSH and THOMAS E.  GROW
        Composition of Thalassia testudinum and Ruppia maritima.

131.  W. P. SCHOOR
        In vivo binding of p,p'-DDE to human serum proteins.

143.  GERALD E. WALSH, SISTER REGINA BARRET, GARY H.  COOK and
      TERRENCE A. HOLLISTER.
        Effects of herbicides on seedlings of the red mangrove
        Rhizophora mangle L.

147.  DAVID J. HANSEN, STEVEN C. SCHIMMEL, AND JAMES  M.
      KELTNER, JR.
        Avoidance of pesticides by Grass Shrimp (Palaemonetes
        pugio).

154.  GERALD E. WALSH
        Mangroves:  A Review.

155.  PHILIP A. BUTLER
        Organochlorine residues in estuarine molluscs,  1965-1972.

156.  P. W. BORTHWICK, T. W. DUKE, A.  J. WILSON,  JR.,  J.  I. LOWE,
      J. M. PATRICK, JR., and J. C.  OBERHEU
        Accumulation and movement of Mirex in selected estuaries
        of South Carolina, 1969-71.

157.  A. L. JENSEN
        The relationship between dynamic pool and surplus produc-
        tion models for yield from a fishery.

158.  NELSON R. COOLEY, JAMES M. KELTNER, JR.,  AND JERROLD
      FORESTER                                R
        The polychlorinated biphenyls, Aroclor  1248  and  1260:
        Effect on and accumulation by Tetrahymena pyriformis.

159.  TERRENCE A. HOLLISTER and GERALD E. WALSH
        Differential responses of marine phytoplankton to
        herbicides,'oxygen inhibition.

163.  W. P. SCHOOR
        Some aspects of myosin adenosine triphosphatase of pink
        shrimp (Penaeus duorarum).

164.  DAVID J. HANSEN
        Aroclor^ 1254:  Effect on composition of developing
        estuarine animal communities in the laboratory.

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Contribution
No.

165.  A.  W.  BOURQUIN
        Estuarine microbes and organochlorine pesticides
        (a brief review).

167.  MARLINE.  TAGATZ
        A larval tarpon, Megalops  atlanticus,  from Pensacola,
        Florida.

168.  P.  W.  BORTHWICK,  G.  H.  COOK,  and  J.  M.  PATRICK,  JR.
        Mirex residues in  selected estuaries  of  South  Carolina
        - June 1972.

169.  DAVID  L.  COPPAGE and EDWARD  MATTHEWS
        Short-term effects of organophosphate pesticides  on
        cholinesterase of  estuarine fishes and pink shrimp.

170.  D.  R.  NIMMO,  J.  FORESTER,  P.  T. HEITMULLER,  and  G.  H.  COOK
        Accumulations  of Aroclor^  1254  in  grass  shrimp
        (Palaemonetes  pugio)  in laboratory and field exposures.

172.  D.  J.  HANSEN,  P.  R.  PARRISH,  and  J.  FORESTER
        AroclorR 1016:  Toxicity to and  uptake by estuarine
        animals

174.  PATRICK R  PARRISH
        AroclorR 1254,  DDT,  and ODD,  and Dieldrin:  Accumulation
        and loss by American oyster,  (Crassostrea virginica)
        exposed continuously for 56 weeks.

175.  S.  C.  SCHIMMEL,  D. J  HANSEN,  and J.  FORESTER
        Effects of AroclorR 1254 on laboratory-reared  embryos
        and fry sheepshead minnows (Cyprinodon variegatus) .

176.  PHILIP A.  BUTLER
        Trends in pesticide residues in shellfish.

177.  D.  J.  HANSEN,  S.  C.  SCHIMMEL,  and JERROLD  FORESTER
        AroclorR 1254  in eggs of sheepshead minnows:   Effect
        on fertilization success and survival of embryos  and
        fry.

178.  P.  R.  PARRISH, JOHN  A.  COUCH,  J.  FORESTER,  J.  M. PATRICK
      JR., and G. H. COOK                                     ' '
        Dieldrin:  Effects on several estuarine  organisms.

179.  M.  E.  TAGATZ,  P.  W.  BORTHWICK,  G. H.  COOK,  and D. L
      COPPAGE
        Studies of ground  applications  of  malathion on salt-marsh
        environments in northwest  Florida.

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Contribution
No.

180-  THOMAS W. DUKE
        Criteria for determining importance and effects  of
        pesticides on the marine environment:   A brief over-
        view.

181.  D. J. HANSEN, S. C. SCHIMMEL,  and E.  MATTHEWS
        Avoidance of Aroclor  1254 by shrimp and fishes.

183.  A. L. JENSEN
        Leslie matrix models for fisheries  studies.

184.  A. L. JENSEN
        Predator-prey and competition models with state
        variables:  biomass, number of individuals,  and  average
        individual weight.

190.  WILHELM P. SCHOOR       ,,
        Accumulation of Mirex-  C in the adult blue  crab
        (Callinectes sapidus).

191.  PHILIP A. BUTLER
        Biological problems in estuarine monitoring.

192.  NELSON R. COOLEY
        Occurrence of snook on the north shore of the Gulf of
        Mexico.

193.  GERALD E. WALSH, TERRENCE A. HOLLISTER,  and JERROLD
      FORESTER
        Translocation of four organochlorine compounds by  red
        mangrove, (Rhizophora mangle L.) seedlings.

195.  THOMAS W. DUKE, and DAVID P. DUMAS
        Implications of pesticide residues  in the coastal
        environment.

196.  PATRICK R. PARRISH, DAVID J. HANSEN,  JOHN A. COUCH,
      JAMES M. PATRICK, JR., and GARY H. COOK
        Effects of the polychlorinated biphenyl,  Aroclor^  1016,
        on estuarine animals.

198.  D. R. NIMMO, and L. H. BAHNER
        Some physiological consequences of  polychlorinated
        biphenyl and salinity-stress in penaeid shrimp.

200.  L. H. BAHNER
        A salinity controller for flowing-water bioassays.

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Contribution
No.

201.  AL W. BOURQUIN, and GARY H.  COOK
        Degradation of malathion by estuarine microbes.

202.  NELSON R. COOLEY
        Effects of pesticides on protozoa.

203.  A. W. BOURQUIN and GARY H. COOK
        Impact of microbial seed cultures on the aquatic
        environment.

204.  ALFRED J. WILSON,  JR.,  and JERROLD FORESTER
        Methods and problems  in analysis of pesticides in the
        estuarine environment.

207.  STEVEN C. SCHIMMEL,  DAVID J.  HANSEN,  and JERROLD FORESTER
        Effects of Aroclor  1254 on laboratory-reared embryos
        and fry, Cyprinodon variegatus (Pisces:   Cyprinodontldae)

208.  W. PETER SCHOOR
        Theoretical model  and solubility characteristics of
        Aroclor^ 1254 in water.-  Problems associated with low-
        solubility compounds  in aquatic toxicity tests.

209.  L. KEIFER, H. JANNASCH, K. NEALSON,  and A.  BOURQUIN
        Observations  of luminescent bacteria, in continuous
        culture.

210.  AL BOURQUIN, L. KEIFER, and  S.  CASSIDY
        Microbial response to malathion treatments  in salt
        marsh microcosms.

211.  JOHN A. COUCH
        Pathological effects  of Urosporidium (Haplosporida)
        infection in microphallid metacercariae.

213.  JOHN A. COUCH
        Free and occluded virus, similar to Baculovirus,  in
        hepatopancreas of pink shrimp

215.  JOHN A. COUCH
        An enzootic nuclear polyhedrosis virus of pink shrimp:
        Ultrastructure,  prevalence, and enhancement.

216.  JOHN A. COUCH,  and DELWAYNE R.  NIMMO
        Ultrastructural studies by shrimp exposed to the
        pollutant chemical, polychlorinated biphenyl (Aroclor
        1254).

219.  J. A. COUCH, and D.  R.  NIMMO
        Detection of interaction between natural pathogens and
        pollutant chemicals in aquatic animals.

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Contribution
No.

220.  JOHN A. COUCH
        Ultrastruetural and protargol studies of Lagenophrys
        callinectes (Ciliophora:  Peritrichida).

238.  P. W. BORTHWICK
        A clinical centrifuge tube for small blood samples.

242.  JOHN A. COUCH, and DELWAYNE R. NIMMO
        (Abstract). Cytopathology, ultrastrueture, and virus_
        infection in pink shrimp exposed to the PCB,  Aroclor
        1254.

245.  PHILIP A. BUTLER
        Estuaries.

247.  JAMES W. GILLETTE, JAMES HILL, IV., ALFRED W. JARVINEN,
      and W. PETER SCHOOR
        A conceptual model for the movement of pesticides through
        the environment.

250.  J. COUCH, G. GARDNER,J. HARSHBARGER, M. TRIPP,  and P. YEVICH
        Histological and physiological evaluations in some marine
        fauna.

251.  JELLE ATEMA, CHARLES C. COUTANT, PATRICIA De COURSEY,
      DAVID HANSEN, JAMES S. KITTREDGE,  JOHN J. MAGNUSON, DON
      MILLER and MARK J. SCHNEIDER
        Behavioral measures of environmental stress.

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             EXTRAMURAL RESEARCH PUBLICATIONS


EPA-660.3-75-015  Effects of Mirex and Methoxychlor on striped
                  mullet, Mug11 cephalus  L.   May,  1975.
                  Lee,  Jong H.,  Colin E.  Nash and  Joseph R.
                  Sylvester.
                  (Oceanic Foundation,  Makapuu Point,  Waimanalo,
                  Hawaii 96795) .
                  Grant No. R 802348,  Program Element  No.
                  1EA077, ROAP/Task No.  10 AKC/040.  David J.
                  Hansen, Project Officer.


EPA-660/3-75-024  The effect of Mirex and Carbofuran on
                  estuarine microorganisms.   June,  1975.   Brown,
                  Lewis R., Earl G.  Alley and David W. Cook
                  Performing organization:  Mississippi  State
                  University,  Mississippi State, Miss.   39762
                  Contract No.  68-03-0288, Program Element
                  No. 1-EA077.   ROAP/Task No.  10 AKC/33.
                  Al W. Bourquin,  Project Officer.

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                              AUTHOR INDEX


                                                        Contribution No.

Atema, Jelle 	251

Bahner, Lowell H	198
                                                                     200

Borthwick, Patrick W	156
                                                                     168
                                                                     179
                                                                     238

Bourquin, Al W	165
                                                                     201
                                                                     203
                                                                     209
                                                                     210

Butler, Philip A. . .					155
                                                                     176
                                                                     191
                                                                     245

Cooley, Nelson R	-	158
                                                                     192
                                                                     202

Cook, Gary H	143
                                                                     168
                                                                     170
                                                                     178
                                                                     179
                                                                     196
                                                                     201

Coppage, David L	169
                                                                     179

Couch, John A	178
                                                                     196
                                                                     211
                                                                     213
                                                                     215
                                                                     216
                                                                     219
                                                                     220
                                                                     242
                                                                     250

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                                                        Contribution No.

Duke, Thomas W [[[ 156
                                                                     180
                                                                     195

Dumas , David P [[[ 195

Forester , Jerrold [[[ 158
                                                                     170
                                                                     172
                                                                     175
                                                                     178
                                                                     193
                                                                     204
                                                                     207

Gillette, James W [[[ 247

Hansen, David J [[[ 147
                                                                     164
                                                                     172
                                                                     175
                                                                     177
                                                                     181
                                                                     196
                                                                     207

Heitmuller, P. T [[[ 170

Hollister , Terrence A
                                                                     159
                                                                     193

Jensen, A. L [[[ ^57
                                                                     183
                                                                     184

Keltner, James M [[[ ^-,
                                                                     158

Kief er, Linda [[[ 209

Lowe , Jack I .............................................. ,


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                                                        Contribution No.

Panish, Patrick R	172
                                                                     174
                                                                     178
                                                                     196

Patrick, James M	156
                                                                     168
                                                                     178
                                                                     196

Schimmel, Steven C	147
                                                                     175
                                                                     177
                                                                     181
                                                                     207

Schoor, W. Peter 	131
                                                                     163
                                                                     190
                                                                     208
                                                                     247

Tagatz, Marlin E	167
                                                                     179

Walsh, Gerald E	126
                                                                     143
                                                                     154
                                                                     159
                                                                     193

Wilson, Alfred J.,  Jr	156
                                                                     204

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CONTRIBUTION NO. 126

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    Composition of Thalassia testudinum and Ruppia maritima

            GERALD E. WALSH AND THOMAS E. GROW

   LITTLE is known at present about the nutritive value of aquatic
plants, especially in relation to annual variations in their chemical
constituents.  Turtle  grass  (Thalassia testudinum)  and  widgeon
grass  (Ruppia  maritima)  are common  in the  inshore waters of
Florida (Phillips,  1960).  They are important constituents of estu-
arine nursery grounds for marine animals and many forms of plant
and animal life are associated with them  (Hudson et al.,  1970).
The seagrasses  are eaten by fishes, turtles, and  other aquatic ani-
mals (Randall,  1965), and birds (OIney, 1968). Detritus derived
from seagrasses is eaten by small marine animals (Menzies and
Rowe,  1969; Fenchel, 1970.  Also, T. testudinum and its epiphytes
are important in biogeochemical cycles in estuarine areas  (Parker,
1966).
   Both T. testudinum and R. maritima have been used successfully
in preliminary experiments as fertilizers for tomatoes (van Breed-
veld, 1966) and as feed supplements for Sheep  (Bauersfeld et aL,
1969).
   Because of the importance of T. testudinum and R.  maritima to
estuarine ecosystems, we investigated seasonal distributions of pro-
tein, carbohydrate,  trace  elements, and energy content  of their
leaves  and rhizomes.  Also, the potential nutritive value of the sea-
grasses was evaluated.

                           METHODS

   Thalassia testudinum and R. maritima were collected between 6
June 1969 and 27 May 1970 from a mixed bed at the western edge
of Sabine Island in Santa Rosa  Sound near  Gulf  Breeze, Florida.
They were taken in the morning to avoid possible diel variation in
the factors measured.  Abundance  of  R. maritima was greatly re-
duced in  February 1970 and enough  plant material could not be
collected for all tests.
   After collection, plants were taken immediately to the laboratory,
where the epiphyton was removed.  The leaves were separated from
the rhizomes and all were washed quickly in a stream of distilled

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98    QUARTERLY JOURNAL OF THE FLORIDA ACADEMY OF SCIENCES

water. Leaves and roots were dried to constant weight in an oven
at 100 C and ground in a Wiley mill to pass the 40-mesh sieve.  The
pulverized  material was stored in vacua over anhydrous calcium
carbonate until tested.
   Ash content was determined by combustion in a muffle furnace
at 55  C for five hours.
   Total protein was  measured by the method of Strickland and
Parsons  (1965) using acetonylacetone (2,5-hexanedione) reagent
and the procedure was  standardized  against the Kjeldahl-Nessler
method. We report protein content as percentage of dry weight and
of ash-free  dry weight.
   Total carbohydrate was measured by a variation of the anthrone
method for particulate carbohydrate (Strickland and Parsons, 1965).
Fifty mg of each sample were suspended in 50 ml of 0.2 N H2SO4 in
a 125-ml Erlenmeyer flash. The sample was hydrolysed at 100 C for
90 min. with mixing every 15 min.  The hydrolysate was  passed
through a glass-fiber filter of 0.45/* porosity and 0.2 ml of the  filtrate
was pipetted into a test tube. To this was added 10.8 ml of anthrone
reagent (0.?, g anthrone,  8.0 ml 95 per cent alcohol, 30.0 ml distilled
water, and 100 ml concentrated H2SO4).  The solution was  heated
at 100 C for five min. and brought quickly to room temperature in
an  ice-water bath.  After  15 min.  the  extinction was  measured
against distilled water at 6200 A in a one-cm glass cell in a Beckman
DU spectrophotometer.  Glucose was  used  in preparation of stan-
dard  carbohydrate solutions.  The data are expressed as percentage
carbohydrate in dry weight and in ash-free dry weight.
   Concentrations of sodium, potassium,  magnesium, iron, man-
ganese,  and zinc in leaves and rhizomes were measured  by  atomic
absorption spectroscopy, using a modification  of the method  of
David (1958). Approximately 0.01 g of dried plant material was
placed in a 30 ml Kjeldahl digestion flask with two ml of a  1:7
sulphuric acid-perchloric acid mixture and  10  to 12  ml of nitric
acid.  Digestion was continued until organic matter was completely
destroyed.  Four glass beads  were added to each flash to prevent
bumping.
   After digestion, the flash  was cooled to room  temperature and
three ml of distilled water added. After gentle shaking, the contents
were  transferred to a 25-ml  volumetric  flask.   This washing pro-
cedure was repeated twice with five ml of distilled water and the

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             WALSH AND CROW:  Composition of Sea Grasses           99

hydrolysate  taken to 25 ml with distilled water.  The  hydrolysate
was analyzed on a Beckman  Model 1301 atomic  absorption unit
equipped with a Beckman DB-G  spectrophotometer.  Concentra-
tions of the  elements are reported  as parts per thousand  (ppt) of
dry weight.
   Caloric contents were determined on a Parr  Series  1200 adi-
abatic calorimeter.  Fuse wire and  acid corrections were made for
each determination and results are expressed as  kilocalories  per
gram of ash-free dry weight.

                      RESULTS AND DISCUSSION
   Ash. Annual mean values and ranges of values for ash, protein,
carbohydrate, and energy are given in Table 1. Annual variation in
ash  content  was not found and analysis of variance indicated that
all mean values were significantly  different at the 0.05 leveL The
                             TABLE 1
Annual means for ash, protein, carbohydrate, and energy contents of Thalassia
testudinum and Ruppia maritima between June 1969 and May 1970.

Component                           Annual                  Range
                                     mean
Ash, % dry weight
   T. testudinum leaves                24.5                   20.6-26.9
   T. testudinum  rhizomes             23.8                   21.4-25.4
   R. maritima  leaves                 18.8                   15.8-23.8
   R. maritima rhizomes                22.4                   18.6-24.8
Protein, % ash-free dry weight
   T. testudinum leaves                25.7                   13.6-37.1
   T. testudinum rhizomes              11.0                   7.7-14.7
   R. maritima leaves                  23.2                   13.5-32.6
   R. maritima rhizomes                20.0                   14.1-26.9
Carbohydrate, % ash-free dry weight
   T. testudinum  leaves                23.6                   18.3-35.8
   T. testudinum rhizomes             72.1                   54.5-80.3
   R. maritima leaves                  27.0                   24.3-34.3
   R. maritima rhizomes                63.6                   52.0-73.3
Energy, Kcal/g ash-free dry weight
   T. testudinum leaves                4.66                   4.47-4.79
   T. testudinum rhizomes             4.88                   4.76-5.16
   R. maritima leaves                  4.44                   4.28-4.69
   R. maritima rhizomes                4.25                   4.09-4.38

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100   QUARTERLY JOURNAL OF THE FLORIDA ACADEMY OF SCIENCES

values obtained for ash contents were similar to those for most other
aquatic plants (Westlake, 1965)  and for leaves  of  T.  testudinum
(Burkholderetal., 1959).
   Protein. There was considerable annual variation in the amount
of protein in ash-free dry weight of leaves. The highest value found
for T. testudinum leaves was 2.7 times that of the lowest, while that
for R.  maritima leaves was 2.4 times  greater.  Annual variation  in
  35

  30

  25

  20

   15

   10
I

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            WALSH AND GROW:  Composition of Sea Grasses         101

protein in underground parts was less. In both T. testudinum and
R. maritima, the highest concentration in the rhizomes was 1.9 times
that of the lowest.
   During the annual cycle, the protein content of the leaves of T.
testudinum was always greater than that of the rhizomes (Figure 1),
the annual  mean concentration in leaves  being  over two times
larger  (Table 1). Concentration of protein in  the leaves of T. tes-
tudinum increased in the late winter and spring between 9 January
and 16 April.  Concentrations decreased rapidly thereafter,  and
were lowest in  summer on 2 July 1969. In the rhizomes, however,
concentrations of  protein increased only slightly between 26 Febru-
ary and 16 April  1970, and fell less precipitously than did  those of
the leaves.
   The annual  mean  concentration of protein in the leaves of R.
maritima was slightly greater than that in the rhizomes, but concen-
tration was greater in the rhizomes  in the summer months  of May,
June, and July. Concentrations in the leaves reached a peak  on 8
April 1970, and fell rapidly thereafter.  Lowest concentration was
found in the summer on 4 August 1969. Concentration of protein in
the rhizomes of R. maritima rose slowly in the nine-month period
between 4 August and 14 May, with lowest concentrations occuring
in summer in June and early August.
    The above findings are related to the functional aspects of leaves
and rhizomes.  Leaves generally have a greater amount of protein
than rhizomes because they are largely concerned with biosynthesis
and, consequently, contain large amounts of  enzymes and many
membranes.   However, rhizomes are storage  organs and contain
relatively large amounts  of carbohydrate, as  will be shown later.
Leaf protein is greatest in spring when biosynthesis is rapid, where-
as concentrations of  carbohydrate in  rhizomes are greatest in fall
and winter.
    Bauersfeld et al. (1969) suggested  that T. testudinum may be of
value as  a feed additive for domestic animals.  They reported that
the leaves of T.  testudinum, after a single washing with  distilled
water, contained  between  9.0 and 14.1 per cent protein on a dry
weight basis, whereas  the rhizomes contained 15 per cent.  Burk-
holder et al. (1959) reported that the dried leaves of T. testudinum
contained 13.1 per cent protein.  Neither study, however, reported
the dates on which samples were taken.

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102   QUARTERLY JOURNAL OF THE FLORIDA ACADEMY OF SCIENCES
   On a percentage dry weight basis, the protein contents of our
samples were: T. testudinum leaves, 10.3-29.7; rhizomes, 5.8-12.2;
R. maritime leaves, 10.9-28.5; rhizomes, 10.4-18.1.  These values are,
in general, higher than those for many other plants.  Among the
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   Fig.
Ruppia
                                           •RUPPIA LEAVES
                                           . RUPPIA RHIZOMES
        .-. /
                                            •THALASSIA LEAVES
                                            •THALASSIA RHIZOMES
             ,	--
                  A   S
                 1969
                               N    0
                               MONTH
 M
1970
       2.  Annual  variation of  carbohydrate in Thalassia testudintim and
       marttima.

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            WALSH AND CHOW:  Composition of Sea Grasses         103

aquatic plants, Myrtophyllum  sp. contained approximately 7.8 per
cent protein in dry weight (Oelshlegel, 1969)  and Spartina dlter-
niflora 8.9 per cent (Hall et al., 1970). Boyd (1970), in a study of
the protein content of 11 freshwater species, reported a range of
from 4.0 per cent  (Typha latifolia)  to 21.6 per cent (Nuphar ad-
vena).  Yee  (1970) reported 17.5 per cent protein in Hydritta sp.
and 30.5 per cent in Pistia stratoides. Among foodstuffs, 114 lines
of corn contained 9.8-16.3 per  cent protein (Davis et al.,  1970), 49
varieties of grain sorghum contained 8.6-16.5 per cent (Virupaksha
and Sastry, 1968) and wheat grain between 8.3-12.4 per cent (Chro-
minski, 1967).
   Though high in protein, it is doubtful that these seagrasses could
be used directly as food by  humans.  The unanimous consensus of
a taste panel at the  Gulf Breeze laboratory was that dried leaves
and rhizomes  are  gritty, and  have  a strong,  unpleasant  odor and
flavor.
   Carbohydrate.  In contrast to protein contents, carbohydrate
contents of rhizomes were greater than those of leaves  (Table  1)
because rhizomes are storage  organs for starch.  Fig. 2 shows that
the carbohydrate contents of rhizomes, as percentage ash-free dry
weight, began to rise in July due to production and storage in sum-
mer, and attained  peak concentrations in  October and November.
Decrease in spring was probably due to utilization of stored carbo-
hydrate for biosynthesis and respiration.
   The carbohydrate contents  of the seagrasses tested were similar
to those of other plants. As percentage dry weight, T. testudinum
leaves contained between  12.5  and 25.5  per  cent  carbohydrate,
whereas the rhizomes contained between 41.5  and 62.9  per cent.
Leaves of R. maritima  contained between 20.0 and 27.2 per cent
and rhizomes between  35.8 and 55.1 per cent carbohydrate.  Re-
ported values for other plants, as percentage dry weight, are:  al-
falfa,  13-25  (Raguse and Smith,  1965, 1966;  Grotelueschen  and
Smith, 1967); red clover, 14-21 (Raguse and Smith, 1966), and tim-
othy,  48 (Grotelueschen and Smith, 1967). Most of the values for
seagrasses were within these ranges.
   Energy.  The energy contents  (Table  1) of  all samples  were
very similar to those reported for  most other plants (Cummings,
1967)  and no annual trends  were observed.
   Elements.  Annual variations in concentrations of sodium, potas-

-------
104   QUARTERLY JOURNAL OF THE FLORIDA ACADEMY OF SCIENCES
  50

  40

  30

  20

   10
 * 12
 UJ
 0.

 6 "
 ^. 10
 0.100

0.075

0.090

 0.025
      Mg
                        I
Mn
 32.5


 24.5


 16.5


 8.5

   0


 S.OO


 3.T5


 2.50



 1.25


   0


0.050



0.029
                                         Fe
                                          Zn
                                               • LEAVES
                                               • RHIZOMES
      JJASONDJ  FMAM
             MONTH
                                 JJASONDJFMAM
                                        MONTH
    Fig. 3.  Annual variations of some elements in Thalassia testudinum,
 slum, magnesium, iron, manganese, and zinc are shown in Figures
 3 and 4. The variations appear to be associated with age and func-
 tional aspects of the materials analyzed.
    In several aquatic macrophytes, concentrations of some elements
 decline with age. For example, concentrations of nitrogen, phos-
 phorus, sulfur, calcium, and potassium decline with age in  Typha
 latifolia and in the bulrush Scripus americanus (Boyd, 1970).  Con-
 centrations of zinc, manganese  and  iron  are  lowest in  mature
 Spartina  akerniflora  (Williams  and  Murdock,  1969),  and the
 authors suggested that the decrease  may be due to  dilution  of
 actively growing tissues by  structural material which contained
 little of the elements measured.
    Table 2 gives concentrations of the elements found in the leaves

-------
            WALSH AND GROW: Composition of Sea Grasses
                                                             105
  so

  4O

  30

  20

  10

I  o
tfl
O  13
»~

-------
 106   QUARTERLY JOURNAL OF THE FLORIDA ACADEMY OF  SCIENCES
                              TABLE 2
Concentrations, in parts per thousands, of
roots of selected plants.
Plant
Carrot
leaves
roots
Soybean
leaves
roots
Sunflower
leaves
roots
Sweet potato
leaves
roots
Tomato
leaves
roots
K

13.3
16.8-59.2

8.0
14.4-15.6

16.2-19.0
13.6-38.0

16.1-23.7
6.8-17.4

5.2-37.6
8.0-34.1
Mg

2.8
1.2-2.4

7.9
10.7-31.8

11.0
1.3-12.7

4.5-5.4
0.6-2.1

6.2-15.5
4.6
some elements in the leaves and
Fe

0.36-0.77
0.04-0.49

0.34
_

_
0.03

_
0.01-0.14

0.28-0.54
-
Mn

0.02-0.20
0.01-0.09

0.03-0.19
0.02-0.15

0.07-1.27
_

_
0.01-0.03

0.05-4.93
-
Zn

0.03
0.01

0.10
_

-
0.02

_
0.01

0.03
-
   From Altaian, P. L. and D. S. Dittmer  (eds.), Biology Data Book, 1964.

   In summary, in relation to other aquatic plants and" food crops,
T. testudinum and H.  maritima contain significant amounts of pro-
tein,  carbohydrate, energy, and minerals. The nutritive value of T.
testudinum has been established (Bauersfeld et al., 1969) and that
of H. maritima  is implied from the work reported  here.  Annual
variation in chemical composition, however, implies that the nutri-
tional value of seagrasses varies throughout the year.

                         LITERATURE CITED
ALTMAN, P. L., AND D. S. DrrrMEH  (eds.). 1964.  Biology data book. Federa-
      tion of American Societies for Experimental Biology, Washington, D. C.
      xix + 633 pp.
BAUEHSFELD, P., R. R. KIFER, N. W.  DURANT, AND J. E. SYKES. 1969.  Nutrient
      content  of turtle  grass (Thalassia testudinum).  Proc.  Intl.  Seaweed
      Symp., vol. 6, pp. 637-645.
BOYD, C. E. 1970.  Arnino acid, protein, and caloric content of vascular aquatic
      macrophytes. Ecology, vol. 51, pp. 902-906.
BURKHOLDEH, P. R.,  L. M. BURKHOLDEH, AND J. A. RrvEHO. 1959. Some chem-
      ical constituents of the turtle grass Thalassia testudinum. Bull. Torrey
      Bot. Club, vol. 86,  pp. 88-93.
CHROMINSKI, A. 1967. Effect of (2-chloroethyl) trimethylammonium chloride
      on protein content, protein yield, and some qualitative indexes of winter
      wheat grain.  Jour. Agr. Food Chem., vol. 15, pp. 109-112.

-------
              WALSH AND GROW:  Composition of Sea Grasses          107

CUMMTNGS,  K.  W.  1967. Calorific equivalents for studies in ecological ener-
       getics. Pymanting Laboratory of Ecology, University of Pittsburgh. 2nd.
       ed., 52 pp.
DAVID,  D. J.  1958.  Determination of zinc and other  elements  in  plants by
       atomic absorption spectroscopy. Analyst., vol. 8, pp. 655-661.
DAVIS, L. W., W. P. WILLIAMS, JR., AND L. CROOK.  1970.  Interrelationships
       of  the protein and amino acid contents of inbred lines of corn.  Jour.
       Agr.  Food Chem., vol.  18, pp. 357-360.
FENCHEL, T. 1970.  Studies on the decomposition of organic detritus derived
       from the turtle grass Thalassia testudinum.  Limnol. Oceanogr., vol.  15,
       pp. 14-20.
GHOTELUESCHEN, R. D., AND D. SMITH. 1967.  Determination and identification
       of  nonstructural carbohydrates  removed from grass and legume tissue
       by various sulfuric acid concentrations,  takadiastase, and  water.  Jour.
       Agr.  Food Chem., vol.  15, pp. 1048-1051.
HALL, K.  J., W. C. WEIMER, AND G. F. LEE.  1970.  Amino acids in an estua-
       rine environment. Limnol. Oceanogr., vol. 15, pp. 162-164.
HUDSON,  J.  H., D.  M. ALLEN, AND T.  J.  COSTELLO.  1970.  The  flora and
       fauna of a basin in Central  Florida Bay.  U. S.  Fish  Wildl. Ser.  Spec.
       Sci. Rep. Fish.  604, pp. 1-14.
MENZIES,  R. J., AND G. T. ROWE.  1969.  The  distribution and significance of
       detrital  turtle grass, Thalassia testudinum,  on  the deep-sea  floor  off
       North Carolina.  Int. Rev. Ges. Hydrobiol.,  vol. 54, pp. 217-222.
OELSHLEGEL, F. J., JR.  1969. Potential for protein concentrates from alfalfa
       and  waste  green plant material. Jour. Agr. Food Chem., vol. 17, pp.
       665-668.
OLNEY, P. J. S.  1968. The food and feeding habits of the pochard, Aythya
       ferina.  Biol. Conserv.,  vol. 1, pp. 71-76.
PARKER, P.  L.  1966.  Movement of radioisotopes in a  marine bay:  cobalt-60,
       iron-59, manganese-54, zinc-65, sodium-22.  Publ. Inst. Mar. Sci.,  Univ.
       Texas, vol. 11, pp. 102-107.
PHILLIPS,  R. C.  1960. Observations on  the ecology and distribution of  the
       Florida seagrasses. Florida State Bd. Conser., Prof. Papers Ser., No. 2,
       St. Petersburg, iv +  72 pp.
RAGUSE, C.  A.,  AND D. SMITH.  1965.  Carbohydrate content in alfalfa herb-
       age as influenced by methods of  drying.  Jour.  Agr. Food Chem., vol.
       13, pp. 306-309.
	.   1966.  Some nonstructural carbohydrates in forage legume herbage.
       Jour. Agr. Food Chem., vol. 14, pp. 423-426.
RANDALL, J. E.  1965.  Grazing effect on seagrasses by herbivorous reef fishes in
       the West Indies. Ecology, vol 46,  pp. 255-260.
STRICKLAND, J.  D. H., AND T. R. PARSONS.   1965.  A manual  of  sea  water
       analysis, 2nd ed. Fish.  Res.  Bd. Canada. Bull. No.  125. Ottawa, viii +
       203 pp.
VAN BREEDVELD, J. F.  1966. Preliminary study of seagrass as a potential source
       of  fertilizer.  Florida State Bd. Conser., Mar. Lab.  Spec.  Sci. Rep. 9,
       pp. 1-20.

-------
108   QUARTERLY JOURNAL OF THE FLORIDA ACADEMY OF SCIENCES

VmupAKSHA, T. K., AND L. V. S. SASTRY. 1968. Studies on the protein content
      and amino acid composition of  some varieties of  grain sorghum. Jour.
      Agr. Food Chem., vol. 16, pp. 199-203.
WESTLAKE, D. F.  1965.  Some basic data for investigations of  the productivity
      of aquatic macrophytes. In: C. R. Goldman (ed.), Primary Productivity
      in Aquatic Environments.  Mem. 1st. Ital. Idrobiol., 18 Suppl., Univer-
      sity of California Press, Berkeley, pp. 229-248.
WILLIAMS, R.. B.,  AND M.  B. MURDOCK.  1969.  The potential importance of
      Spartina altemifloTa in conveying zinc, manganese,  and iron into es-
      tuarine food chains.  In D. J. Nelson and  F. C. Evans (eds.), Sym-
      posium on  Radioecology, 2nd Nat.  Symp.,  Ann Arbor, Michigan,  pp.
      431-439.
YEE  THONG  TAN. 1970.  Composition and nutritive value of some grasses,
      plants, and aquatic weeds tested as  diets.  Jour. Fish.  Biol., vol. 2,
      pp. 253-257.

   Gulf Breeze  Environmental Research Laboratory, Sabine Island,
Gulf Breeze, Florida 32561.  An associate laboratory of the National
Environmental Research Center,  Corvallis, Oregon.  Contribution
No.  126.

Quart. Jour.  Florida Acad. Sci 35(2) 1972(1973)

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CONTRIBUTION NO. 131

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           In vivo Binding of p,p'-DDE to Human
                         Serum Proteing
                           by W. P. ScHOOR1
              Department of Pharmacology, Louisiana State University
                    Medical Center, New Orleans, La. 70112
     Although it is convenient to estimate chlorinated hydrocarbon
pesticide levels in man by determining the amount present in
serum,  few investigators have questioned possible interactions of
these compounds with serum proteins and the resulting consequences.
DALE et al.  (1965)  suggested that the binding of pesticides to
serum protein was the cause of incomplete pesticide recovery from
human serum by hexane extraction, and GUNTHER et al. (1954) pro-
posed molecules were held by proteins with consequent inhibition
of  the  normal function of these proteins.  Binding of dieldrin
and telodrin to serum proteins has been demonstrated by MOSS and
HATHWAY (1964), but the concentrations of these pesticides were
considerably greater than those normally encountered in man and
pH  ranges during the separation deviated too far from the physio-
logical norm to allow much speculation on the results.   HATANAKE
et  al.  (1967) attempted to recover pesticides from protein frac-
tions after Sephadex G-50 treatment, but met with inconsistent
results.    Careful  review of these reports emphasizes that direct
evidence of serum protein binding under physiological conditions
should  be obtained.

                                METHODS

     Serum was prepared from the author's blood by allowing it to
clot for 2 hr at 0°C, then removing the liquid portion.  Two-mi
samples were kept at -15°C for not more than 10 days.

     Ten g of Sephadex G-200 was soaked for 3 days in 1.0  liter
of  0.9% NaCl solution at pH 7.35.  This material was placed in a
2.5 cm  x 46 cm glass column and allowed to settle under  flow.
Two ml  of serum were diluted to 10 ml with 0.9% NaCl (pH 7.35),
placed  on the column, and eluted with the same solution.   Ten-mi
fractions were collected at a flow rate of 2-3 ml/min at constant
 Present address:   Environmental Protection Agency,  Gulf Breeze
 Laboratory,  Sabine Island, Gulf Breeze, Florida  32561.
                                 70
Bulletin of Environmental Contamination & Toxicoloitv
VoL 9, No. 2, O 1973 by Springer-Verlag New Yo*  '

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pressure.  Protein concentrations were determined with a  Zeiss
Model PMQ-II spectrophotometer at 280 mu.
     The pooled protein fractions, usually about 150 ml,  were ex-
tracted with 200-ml portions of hexane.  When a 2.0-ml serum sam-
ple was diluted to 150 ml and extracted in this way, more p,p'-DDE
was recovered and reproducibility was greater than when the serum
was extracted directly by the method of DALE et al. (1965, 1970).
Since further experimentation showed that a reduction in  the vol-
ume of the diluted serum from 150 ml to 50 ml caused no significant
reduction in p,p'-DDE recovery, the following procedure was adop-
ted for the routine serum extractions:
     Two ml of serum, diluted to 50 ml with 0.9% NaCl solution
(pH 7.35), and 75 ml hexane were shaken vigorously in a 250-ml
separatory flask for 10 sec and the flask inverted and vented.
The shaking and venting process was continued for 1 min,  after
which the phases were allowed to separate.  The process was re-
peated three times.  Any interphase emulsion was broken by centri-
fugation.  The extract was reduced to an appropriate volume by
evaporation under a gentle stream of air at 35°C.  The p,p'-DDE
was detected by means of a Microtek MBT-220 gas chromatograph,
using an OV-17/QF-1 column for quantitation and a SE-30/QF-1
column for confirmation at 195"C and a tritium-type electron-
capture detector at 205t'C.  Further confirmation was achieved
with thinlayer chromatography on silic acid with heptane  as sol-
vent.

                              RESULTS

     Only p,p'-DDE was quantitated because it was present in large
enough amounts to be confirmed by thin-layer chromatography.  The
p,p'-DDT present was in such low amounts that reproducibility be-
tween chromatograms was very poor.  No polychlorinated biphenyl
derivatives (PCB's) were present.  Table 1 shows that compared
with the method of DALE et al. (1965, 1970) the extraction method
gives almost a twofold increase in p,p'-DDE recovered as well as
less variability (F-test; p<0.01).  Protein recovery after
Sephadex G-200 chromatographic treatment was 95%, and the protein
fractions contained approximately 80% of the original amount of
p,p'-DDE.  When p,p'»-DDE in hexane was placed on the column and
the hexane was allowed to evaporate, elution under the conditions
described for serum chromatography did not yield any p,p'-DDE in
the effluent in the range of the protein fractions.  Preliminary
data indicate that very little p,p'-DDE is found in the gamma
globulin fraction.  Precipitation of serum proteins with ammonium
sulfate and subsequent hexane extraction of the supernatant and
the precipitate yielded no p,p'-DDE in the former and only trace
amounts in the latter.  Serum samples kept at -15 C for more
than 10 days showed a decrease in recoverable p,p'-DDE (e.g.,
20% less was recovered from a sample stored for 21 days).  Both
                                 71

-------
observations indicate that the degree of binding of p,p'-DDE to
the proteins changes as the conformation of the protein changes.

                             DISCUSSION

     The importance of the binding of drugs to serum proteins and
the concomitant effects on their pharmacological activity cannot
be overemphasized (SELLERS and KOCH-WESER 1969, MEYER and GUTTMAN
1968, CONN and LUCHI 1961, DOLLERY et al. 1961, MACREGOR 1965,
BRODIE 1965, CUCINELL et al. 1965).  BRODIE (1965) states,
"Actually, almost all drugs are reversibly bound to. proteins in
plasma or tissue.  The bound drug, often a high percentage of
the total, acts as a reservoir, preventing wild fluctuations
between ineffective and toxic levels of the biologically active
unbound fraction."  It is believed that the same type of mechanism
can explain the behavior of p,p'-DDE and, very likely, all
chlorinated hydrocarbons, including the PCB's, in the blood.
     Although microsomal enzyme induction is usually cited as
cause for the reduced serum levels of pesticides, the following
interpretation should be considered:  (1)  Serum concentrations
of chlorinated hydrocarbon pesticides normally encountered in
human beings reflect "bound" levels that are relatively inert.
(2) Any compound that can interfere with the binding of the
pesticide may free it for adsorption at a site of toxic action,
metabolic breakdown, or storage, depending on the distribution
constant.  (Large amounts of inertly bound pesticides upon libera-
tion could in this fashion become available for binding at the
site of toxic action).  (3) The enzyme system responsible for the
breakdown of the pesticides is always present, but cannot function
because the substrate is tightly bound to the serum proteins.
Pesticide metabolism is strictly governed by the difference in
the distribution constants between the two sites.
     This hypothesis would explain why aldrin enhanced the reten-
tion of p,p'-DDT and p,p'-DDE in the blood of dogs (DEICHMANN
et al. 1969), the reduced paroxon binding capacity in rat
plasma on oral pretreatment with tr.i-o-tolyl phosphate (LAUWERYS
and MURPHY 1969), and the lowering of serum-bound iodine by
o.p-DDD in humans (MARSHALL and TOMPKINS 1968).  It would also
explain the low levels of chlorinated hydrocarbons found  in
persons treated with anticonvulsant drugs by DAVIES et al.
(1969) and SCHOOR (1970).
                                72

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                              TABLE 1

Comparison of recovery of p,,p'-DDE in human serum by different
analytical methods.
Method of DALE                 Present method
et al.  (1965)                 	
                               Combined protein  fraction  after
                               G-200 treatment
Serum
ppm
0.019
0.022
0.024
0.012
0.012
0.017
0.019
0.015
0.019
0.019


Serum
ppm
0.036
0.037
0.037
0.034
0.030
0.034
0.035
0.033
0.034
0.034
0.034
0.036
Serum
ppro
0.025
0.028
0.026
0.029








 a
  Two ml  of  serum were  extracted in each analysis
                                73

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                             REFERENCES

BRODIE, B.B.:  Proc. Royal Soc. Med., 58, 946 (1965).

CONN, H.L., and R.J. LUCHI:  J. Clin. Invest., 40. 509 (1961).

CUCINELL, S.A., A.H. CONNEY, M. SANSUR, and J.J. BURNS:  Clin.
Pharmacol. Therap, j>, 420  (1965).

DALE, W.E., A. CURLEY, and C. CUETO:  Life Sciences, j>, 47 (1965).

DALE, W.E., J.W. MILES, and T.B. GAINES:   J.A.O.A.C., 53, 1287
(1970).

DAVIES, J.E., W.F. EDMUNDSON, C.H. CARTER, and A. BARQUET:  The
Lancet, July 5, 7 (1969).

DEICHMANN, W.B., M.  KEPLINGER, I. DRESSLER, and F. SALA:   Toxi-
col. Appl. Pharmacol., .14, 205 (1969).

DOLLERY, C.T., D. EMSLIE-SMITH, and D.F.  MUGGLETON:  Brit. J.
Pharmacol., 1_7, 488  (1961).

GUNTHER, F.A., R.C.  BLINN, G.E. CARMAN, and R.L. METCALF:  Arch.
Biochem. Biophys., _50, 504 (1954).

HATANAKA, A., B.D. HILTON, and R.D. O'BRIEN:  J. Agr. Food Chem.,
L5, 854  (1967).

LAUWERYS, R.R., and  S.D. MURPHY:  Toxicol. Appl.  Pharmacol., 14,
348 (1969).

MACREGOR, A.G.:  Proc. Royal Soc. Med. 58, 943  (1965).

MARSHALL, J.S., and  L.S. TOMPKINS:  J. Clin.  Endoc.  and  Metab.,
28, 386  (1968).

MEYER, M.C., and D.E. GUTTMAN:   J.  Pharm.  Sci., 57,  895  (1968).

MOSS, J.A., and D.E. HATHWAY:    Biochem.  J.,  9l_, 384 (1964).

SCHOOR, W.P.:   The  Lancet, Sept,  5,  520  (1970).

SELLERS, E.M.,  and  KOCH-WESER:   The New  England J. Med., 281.
1141  (1969).
                                74

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CONTRIBUTION NO. 143

-------
                                                                                       Reprinted from BioScience

                                                           Research   Reports
                        Effects of Herbicides on  Seedlings of the Red
                                  Mangrove, Rhizophora  Mangle L.
    "Mangrove" is a general term applied
 to a community of shrubs or trees that
 grow  below the high-tide mark  along
 tropical shores. The  term is also used
 with  reference  to  individual  plant
 species which  occur  within that com-
 munity (Davis 1940, Macnae 1968). The
 mangrove community is highly produc-
 tive (Golley et  al.  1962) and supports a
 wide variety of animals which depend
 upon plant  detritus as a source of food
 (Heald 1971, Odum  1971).  In Florida,
 many commercially important animals
 such  as  pink  shrimp  (Penaeus duo-
 rarum), blue crabs (Callinectes sapidus),
 striped mullet (Mugil  cephalus), and
 spotted seatrout (Cynoscion nebulosus)
 use the  mangrove  for food  and  as
 nursery grounds (Idyll 1965, Idyll et al.
 1968, Tabb  1966).
    Susceptibility of mangrove  to herbi-
 cides was first  investigated by Truman
 (1961). who treated the  grey mangrove,
 Avicenhia marina,  with the  auxin-type
 herbicides  2,4-dichlorophenoxyacetic
 acid (2;4-D) and 2,4,5-trichloropheno-
 xyacetic acid (2,4,5-T). A concentration
 of only 1 percent in diesel oil  distillate
 killed all trees when applied to the bark,
 and Truman concluded that the grey
 mangrove  is very susceptible. The con-
 cept of high susceptibility of mangrove
 to herbicides was extended by Tschirley
 (1969)'and  Oriaris and Pfeiffer (1970).
 They stated  that  forests in  Vietnam
 dominated by  Rhizophora  conjugata,
 Bruguiera  parviflora, and B. cylindrica
 were  destroyed after  application  of
 either a combination  of 13.8 kg/ha of
 the  n-butyl  ester  of  2,4-D and  14.8
 kg/ha of the n-butyl ester of 2,4,5-T or
 6.72 kg/ha of the triisopropanolamine
 salt of 2,4-D in combination with 0.61
 kg/ha of the triisopropanolamine salt of
 4-amino-3,5,6-trichloropicolinic  acid
(picloram). Westing (1971) found that
 treated  mangrove  areas in Vietnam re-
 mained uncolonized by plants  6  years
 after  treatment  and  suggested  that
 plants of the intertidal zone are highly
 sensitive to hormone-type herbicides.
   Re colonization   of  mangrove  in
 denuded areas must depend upon estab-
 lishment  and  growth  of  seedlings. If
 herbicide residues remain in the soil,
 development of seedlings  could be in-
 hibited.  The purpose of  our research
 was  to describe effects of a commercial
 formulation of 2,4-D and picloram on
 seedlings  of the red mangrove, Rhizo-
 phora mangle L.
   The   genus  Rhizophora is  circum-
 tropical  in its distribution. Rhizophora
 mangle  is common  along the shores of
 the Gulf of Mexico,  Caribbean Sea, West
 Africa (Chapman  1970),  and  Hawaii
 (Walsh  1967).  The  tree  is vivaparous
 and, in southern Florida, produces seed-
 lings throughout the year. The seedling
 consists  of an elongated hypocotyl up
 to 30 cm long, with a short plumule
 approximately   0.5  cm   long.  The
 plumule  is composed of the first leaves
 covered  by  the cotyledonary stipules.
 Leaf development does not occur until
 roots become established in the soil.

             METHODS

   Seedlings 18.2 to 26.5 cm long  were
 picked from trees near Coral Gables,
 Florida, and planted in estuarine  mud in
 plastic boxes in the laboratory. Salinity
 of the water which covered  the  sedi-
 ment was 30 parts per thousand, and pH
 of the sediment ranged from 6.4 to 6.7.
 Room temperature  was maintained at
 27°C,  and  light  was  from  gro-lux
 flourescent tubes beside the boxes. The
 lighting  regime  was  alternate 12-hour
 periods of light and darkness. The herbi-
 cide  formulation  used  was Tordon®1
 101,   which  is  a combination  of the
triisopropanolamine  salt  of  2,4-D
Publication No. 143 from the Gulf  Breeze
Laboratory,   Environmental   Protection
Agency,   Gulf  Breeze,   Florida   32561,
Associate Laboratory of the National Environ-
mental Research Center, Corvallis, Oreg.
 ®Registered  trademark,  Dow  Chemical
Company, Midland, Michigan. Reference to
trade names in  this publication  does  not
constitute endorsement by the Environmental
Protection Agency.
 (39.6%)  and  the triisopropanolamine
 salt of picloram (14.3%). This formula-
 tion is similar to that of Agent White,
 which was used in Vietnam. The formu-
 lation was added to the surface of the
 water  so that  the  amount  of each
 herbicide within the seedlings after up-
 take by  the roots could be measured.
 Groups of seedlings were treated 3 days
 after  planting  when  no  leaves were
 extended. Later, other  groups were
 treated after  one pair or two pairs of
 leaves were  extended.  Seedlings were
 treated at rates of 1.12, 11.2, and 112.0
 kg/ha (1, 10,  and 100 Ib/acre)  of  the
 commercial  formulation. These  rates
 were  equivalent  to  active ingredient
 concentrations of 0.44, 4.40 and 44.0
kg/ha 2,4-D  and 0.16,  1.60, and 16.0
      1
       "UWTMATtD     VII ««/*»    »J t
Fig. 1. Effects of Tordon 101 on seedlings of
R. mangle treated when  no lerret  were
present A. 30 days tttet treatment; B. 40
days after treatment; C 80 days afna treat-
ment
June 1973
                                                                      361

-------
kg/ha picloram.  Each  test  was per-
formed  three times and  45 seedlings
were  treated  at  each  rate. Forty-five
seedlings were maintained as controls
for each experiment.
   For quantitation  of residues, herbi-
cides were extracted from plant material
with an acidified mixture  of petroleum
ether and ethyl ether  (1:1). The acid
salts were removed from the mixture
with a basic aqueous wash. The aqueous
solution was acidified and the free acids
extracted   with   chloroform.  After
evaporation to dryness, the acids were
esterified with  diazomethane and the
methyl  ester quantitated by electron-
capture  gas chromatography.  The limits
of  quantification  were 0.01 parts per
million  (ppm) for picloram as picolinic
acid and 0.02 ppm for 2,4-D. Residues
are expressed as the averages for each
treatment.
   Sections of at least six leaves and
roots from  each experiment were fixed
in formalin-aceto-alcohol, dehydrated in
dioxane, embedded in paraffin, and cut
to a thickness of 10 microns on a rotary
microtome. They were affixed to slides
with Haupt's  adhesive and stained with
safranin and fast green (Sass 1958) for
histopathological studies.

             RESULTS
   Results are summarized in Table 1.
In the first  experiments, seedlings were
treated  while the first pair  of  leaves
were  enclosed  in   the   cotyledonary
stipules. In Fig. 1A, which shows seed-
lings 30 days after treatment, the leaves
can be  seen emerging from the hypoco-
tyls of  untreated seedlings and from one
of those treated with 1.12 kg/ha. Seed-
lings treated with  11.2 kg/ha showed
normal  root development but were high-
ly chlorotic on the upper one-half of the
hypocotyl.  Those treated  with  112.0
kg/ha exhibited wide areas of chlorosis
on  their upper   halves  and were dead
after 30 days.  Some of these seedlings
had longitudinal splits in the epidermis
and  cortex, and callosities protruded
from  the   surface  of the hypocotyl.
After  40  days (Fig.  IB) growth  of
untreated   seedlings  had   progressed
normally, with further growth of roots
and extension of the first pair of leaves.
Seedlings treated with 1.12 kg/ha were
alive, bul root  development was not as
extensive as in the untreated group. The
plumules of  most  were  slightly  ex-
panded as before normal leaf extension.
All  seedlings treated with 11.2  kg/ha
were dead. As  with seedlings treated
with 112.0 kg/ha, these seedlings were
chlorotic, and the plumules of some had
fallen  from the  hypocotyl. After 80
days, untreated seedlings had three pairs
of leaves and appeared  healthy.  Those
treated  with 1.12 kg/ha were still alive,
and some had  as many  as two pairs of
leaves  (Fig.  1C). However,  stems and
leaves  were smaller  than those of the
untreated groups and root  development
was poor.
   Residues  of  herbicides   in   the
hypocotyls are given in Table 2. Tissue
concentrations were  related to  applica-
tion   rates,  but   residues,  although
present, were too  low to quantitate in
seedlings exposed  to  1.12 kg/ha. Clear-
ly, such low concentrations of herbi-
cides in the hypocotyls caused impaired
development  of seedlings  which were
treated before emergence of leaves.
   When seedlings with  one  pair  of
leaves were treated with  Tordon  101,
those   which  received   112.0  kg/ha
became  chlorotic  and died within 15
days  after treatment. Within a few days

TABLE  2.  Concentrations  of 2,4-D  and
picolinic acid, in parts per million (± 20%), of
wet tissue  in the hypocotyls of R. mangle
seedlings treated  with  Tordon  101 before
emergence of leaves. Residues were detected
in every analysis of seedlings treated with
1.12  kg/ha  but were below the  level of
quantification.

               Days after treatment
TABLE 1. Summary of responses of Rhizophora mangle to Tordon 101
Pairs of leaves
 when treated
                                    Rate of application, kg/ha
                         1.12
                                           11.2
                                                             112.0
                  Positive phototrophic  Positive phototrophic
                   response            response
                  No other effects      Chlorosis of leaves
                   noted             and hypocotyl
                                    Histological abnor-
                                     malities of leaves
                                     and roots
                                    Death approximately
                                     30 days after treat-
                                     ment
                 Chlorosis of leaves and
                  hypocotyl
                 Histological abnormali-
                  ties of leaves
                 Defoliation
                 Death 15 days after
                  treatment
                30           40
Treatment        Picolinic       Picolinic
  kg/ha     2,4-D  acid    2,4-D  acid
  11.2
 112.0
0.81   0.14
4.10   0.58
                        2.26   <0.01
    'mi
                  Retarded development Retarded root       Same as with 11.2 kg/ha
                  No deaths           development        treatment, except
                                    Chlorosis of hypocotyl  death 30 days after
                                    Death 40 days after    treatment
                                     treatment
                  Same as when 1 pair   Same as when 2 pairs  Same as when 1 pair of  F"fr 2. Effects of Tordon 101 on seedlings of
                   of leaves present     of leaves present,     oeaves present, except  R- fnangle treated when one pair of leaves was
                                     except death with-    death within 10 days   present A. 10 days after treatment; B. 30
                                     in 40 days                             days after treatment; C. 60 days after treat-
                 	ment
362
                                                                                         BioScience Vol. 23 No. 6

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TABLE 3. Concentrations of 2,4-D and picotinic acid, in parts per mfllion (± 20%), of wet
tissue in organs of R. mangle seedlings treated with Toidon 101 when a single pair of leaves was
present Residues were detected in every analysis of seedlings treated with 1.12 kg/ha but were
below the level of quantification.
Treatment
kg/ha
11.2

112.0
Day
10
30
10
Roots
Picolinic
2,4-D Acid
<0.02
<0.02
1.04
<0.01
<0.01
0.23
Hypocotyl
Picolinic
2,4-D Acid
0.23
0.10
1.55
0.04
0.04
0.41
Stem
Picolinic
2,4-D Acid
0.17
0.27
0.91
0.04
0.08
0.19
1st leaves
Picolinic
2,4-D Acid
<0.02
0.05
0.46
<0.01
0.05
0.10
after treatment, the hypocotyls of seed-
lings treated with  1.12 and 11.2 kg/ha
became markedly bent toward the light
source (Fig. 2A), a reaction that would
be  expected   after   treatment  with
hormone-type  herbicides  as concentra-
tion of auxin generally is  greater on the
dark sides of stems.  Greater growth or
elongation  of cells  on  the dark  side
would cause bending of the stem toward
the  light.  Thirty  days after treatment,
the  seedlings had  returned to the up-
right position. Table  3 shows that the
amount  of 2,4-D in  the hypocotyls of
seedlings   treated   with   11.2   kg/ha
decreased  after 30 days. However, this
group was moribund at that time, with
chlorosis  of the leaves and hypocotyls
and with  callosities along most  of the
length of the hypocotyl. After 60 days,
seedlings  treated  with  1.12 kg/ha ap-
peared normal.
   Concentrations   of  herbicides  in
various  plant parts are given in Table 3.
Residues   were  present  in seedlings
treated  with 1.12 kg/ha but were too
low to quantitate. Response to such low
tissue concentrations of the auxin-type
herbicides  was indicated by bending of
the  hypocotyl toward the  light. At
other  application  concentrations,
highest  tissue  residues  were usually in
the hypocotyl, which may explain why
effects were greatest in that organ.
   When seedlings   with  two  pairs of
leaves  were treated  at  the two higher
concentrations, chlorosis  appeared on
the hypocotyl at 10 to  20 days  after
treatment (Fig. 3A). Soon thereafter the
leaves  became dry  and brittle,  turned
brown,  and curled inward (Fig. 3B). The
signs  were those  of  desiccation  and
defoliation (Bovey  et  al.  1969). Seed-
lings  treated  with  112.0  kg/ha  were
dead  within 10 days  after treatment.
Those exposed to 11.2 kg/ha were dead
within  40  days.   Bending  of   the
hypocotyl  toward the light occurred in
all seedlings treated  with 1.12 and 11.2
kg/ha, but this condition lasted less than
30  days.  Residues  were again usually
greatest in the hypocotyls (Table 4), but
were considerably greater  in the leaves
than they were in the previous tests.
   Studies  were made  of  histological
abnormalities   of leaves and roots as-
sociated with herbicidal treatment. The
leaves  of  R.  mangle  have  a  well-
developed cuticle on both surfaces. Im-
mediately below the upper epidermis is
a single or double  layer of cells which
contain tannin. These are underlain  in
turn by several layers of  hypodermal
cells,   palisade  parenchyma,   spongy
parenchyma, another layer of  tannin
cells,  and the  lower epidermis.  Figure
4A shows the  normal histology  of the
leaf near  the midrib. Figure 4B shows
early  effects  of treatment with 11.2
kg/ha Tordon 101 in the same area. Cell
wall  continuity  has begun  to  break
down in the hypodermis, palisade paren-
chyma, and  spongy parenchyma. The
normal leaf structure   in  the  region
centrally  located  between the  midrib
and the margin is shown in Fig. 4C. This
is  the final stage  in leaf  degeneration
before it falls from the seedling. A total
loss of structural integrity is shown.
   Cortical cells of the  root  were also
affected by treatment with 11.2 kg/ha
Tordon 101.  Histology  of the normal
root  is shown in  Fig. 4E and  of the
treated root  in  Fig. 4F.  The  figures
demonstrate  destruction  of the  cortex
after treatment with herbicide.

            DISCUSSION

   Amounts  of herbicides required  to
kill mangrove appear to be smaller than
those required to  kill other species  of
tropical  trees. In  our experiments,  a
combination of 4.4 kg/ha 2,4-D and 1.6
kg/ha  picloram  killed   all  seedlings.
Bovey et al.  (1969) treated  a  mixed
upland  tropical forest  in Puerto Rico
with  6.72 kg/ha 2,4-D and 1.68 kg/ha
picloram  and  obtained   90  percent
defoliation   after   one   month,  but
reforestation  began after that  time.
Truman (1961) reported that complete
defoliation  of the grey  mangrove  in
Australia was caused by application of 1
percent 2,4-D to  the bark. The same
                                        TABLE 4. Concentrations of 2,4-D and picoBnic acid, in parts per nuUkm (± 20%), of wet
                                        tissue in organs of R. mangle seedlings treated with Tordon 101 when two pairs of leaves were
                                        present Residues were detected in every analysis of seedlings treated with 1.12 kg/ha but were
                                        below die level of quantification.
                                        Treatment
                                         kg/In   Diy
                 Roota
                    PlM
              1A-D    Add
Hypocotyl
   ncotinfc
    Add
    Stem
     Pitt>lmk
      Add
  lit lena
      PicoBnic
2,4-D   Add
fed lava
   HcaUnk
     Add
 Fig. 3. Effects of Tordon 101 on seedlings of   H.l   30   <0.02  <0.01   0.10   0.03   0.02   0.01  <0.02  <0.01   0.13   0.06
 R.  mangle  treated when two pain of leaves         40   <0.02  <0.01   0.23   0.10   0.23   0.10    0.29    0.10   0.35   0.10
 were present A. 20 days after treatment; B.  u2.o   10    1.23    0.39   1.68   0.49   1.02   0.43    0.63    0.24   0.87   0.41
 40 days after treatment                  .	.	__	
 June 1973
                                                                                                                   363

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Fig. 4. Effects of Toidon 101 on microscopic anatomy of R. mangle. A. Section through
untreated leaf near midrib (t=tannin  cells, h=hypodermis, p=palisade parenchyma, s=spongy
parenchyma); B.  Section through leaf  near midrib in  seedling treated with 11.2 kg/ha; C.
Section through center of normal leaf; D. Section through center of leaf of seedling treated
with 11.2 kg/ha; E. Section through cortex of normal root; F. Section through cortex of root
of seedling treated with 11.2 kg/ha. Magnification of all sections: 100X.
application rate caused only  9 percent
defoliation of Eucalyptus maculata in
the highlands.
   The reasons for this apparent great
sensitivity of mangrove to herbicides are
not clear.  Westing (1971) suggested that
susceptibility is related  to physiological
attributes  that  permit   growth  in  the
tropical  tidal environment. Scholander
et al.  (1966)  showed that  Rhizophora
regulates  ion uptake by a salt-exclusion
mechanism in the  roots. Our research
demonstrated  destruction  of  roots  by
herbicidal treatment, and it is possible
that,  in  addition to direct  effects of
herbicides,  death   of   seedlings   was
caused by disruption of their osmore-
gulatory ability.  Further, physical con-
ditions in the tidal environment could
cause  greater  herbicidal  uptake  and
activity  than  in  upland regions. The
mangrove  environment  is  very  fertile
(Macnae   1968),  and it is  well  known
that   high  fertility   coupled  with
abundant  water  increases  the  suscep-
tibility  of  plants  to herbicides (Ham-
merton 1967).
   Our  experiments  incidate that  rela-
tively low concentrations of auxin-type
herbicides inhibit  mangrove   develop-
ment.  Reclamation of  the mangrove
forest may be difficult if low residues
from previous sprayings  persist in  soil.
            REFERENCES
Bovey,  R.  W., C. C.  Dowler,  and J. D.
  Diaz-Colon.   1969.  Response  of  tropical
  vegetation  to herbicides.  Weed Sci., 17:
  28S-29Q.
Chapman, V.  J.  1970.  Mangrove phyto-
  sociology. Trap. Ecol., 1: 1-19.
Davis, J. H., Jr.  1940. The  geologic role of
  mangroves in Florida. Carnegie Inst. Wash.,
  Dept  Mar. Biol., Pap.  from the  Tortugas
  Lab., 32: 303^12.

Golley, F. B., H.  T. Odum, and R. F. Wilson.
  1962.  The structure and metabolism  of a
  Puerto Rican red mangrove forest in May.
  Ecology, 43: 9-19.

Hammerton,   J.  L.  1967.   Environmental
  factors and  susceptibility  to  herbicides.
  Weeds, IS: 330-336.
Heald, E. J. 1971. The production of organic
  detritus in a south Florida estuary. Univ.
  Miami, Sea Grant  Tech. Bull., No. 6, viii,
  110pp.

Idyll, C. P.  1965. Shrimp need fresh water
  too.Natl. Parks Mag., 10: 14-15.

Idyll, C. P., D. C. Tabb, and B. Yokel. 1968.
  The value of estuaries to  shrimp. Proc.
  Marsh Estuary  Management  Symp.,  La/
  State Univ., July 1967, pp. 83-90.

Macnae, W.  1968. A general  account of the
  fauna  and flora of mangrove  swamps and
  forests in the Indo-West Pacific region. Adv.
  Mar. Biol., 6: 73-270.

Odum, W. 1971. Pathways of energy flow in a
  south  Florida estuary.  Univ.  Miami,  Sea
  Grant Tech. Bull., No. 7, xi, 162 pp.

Orians,  G.  H.  and  E. W. Pfeiffer.  1970.
  Ecological  effects of the war  in Vietnam.
  Science. 168: 544-554.

Sass, J.  E.  1958.  Botanical Microtechnique.
  3rd edition, Iowa State Univ. Press, Ames,
  228 pp.

Scholander,  P. F., E. D. Bradstreet,  H. T.
  Hammel, and E. A. Hemmingsen. 1966. Sap
  concentrations  in  halophytes  and  some
  other plants.PlantPhysiol., 41: 529-532.

Tabb, D. C. 1966. The estuary as a habitat for
  spotted  seatrout,   Cynoscion  nebulosus.
  Spec. Publ. Am. Fish. Soc., 3: 59-67.

Truman, R. 1961. The eradication  of man-
  groves. Aust. J. Sci., 24: 198-199.
Tschirley,  F. H. 1969. Defoliation  in  Viet-
  nam. Science, 163:  779-786.

Walsh, G. E. 1967. An ecological study  of a
  Hawaiian mangrove swamp. Pages  420-431
  in  G. H. Lauff, ed. Estuaries, AAAS Publ.
  No. 83.

Westing, A.  H. 1971. Ecological effects of
  military defoliation on the forests of South
  Vietnam. BioScience, 21: 893-898.
                   GERALD E. WALSH
                    REGINA BARRETT
                       GARY H. COOK
           TERRENCE A. HOLLISTEr\

       Environmental Protection Agency
                 Gulf Breeze Laboratory
                           Sabine Island
                 Gulf Breeze, Fla. 32561
            Associate Laboratory of the
       National Environmental Research
                 Center, Corvallis, Oreg.
 364
                                                                                                    BioScience Vol. 23 No. 6

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CONTRIBUTION NO. 147

-------
           Avoidance of Pesticides by Grass Shrimp
                     (Palaemonetes pugio)1
         by DAVID J. HANSEN, STEVEN C. SCHIMMEL, and JAMES M. KELTNER, JR.
                       Environmental Protection Agency
             Gulf Breeze Laboratory, Sabine Island, Gulf Breeze, Flo. 32561
           Associate Laboratory of the National Environmental Research Center
                              Corvallis, Ore.
     Some  fishes  can avoid certain pesticides in water.  Green
sunfish, Lepomis  cyanellus. was repelled by chlordane but not
lindane  (SUMMEKFELT and LEWIS 1967); sheegshead minnows, Cyprinodon
variegatus.  avoided DDT, endrin, Dursban Qx , and 2,4-D  (BEE) but did
not avoid malathion or Sevin OP (HANSEN 1969); and mosquitofish,
Gambusia affinis, avoided DDT, Dursban, 2,4-D, malathion and Sevin
but not endrin (HANSEN et al. 1973).

     Crustaceans  are usually more sensitive to pesticides, par-
ticularly insecticides, than are fishes, but little is known
about  their  ability to avoid pesticide pollution.  The purpose of
this study was to evaluate the capacity of the euryhaline grass
shrimp, Palaemonetes pugio, to avoid DDT, endrin, Dursban,
malathion, Sevin  and 2,4-D.  This shrimp was selected because of
its importance in the food web (WOOD 1967) and its abundance in
local  waters.

                        Experimental Procedure

     Grass shrimp, 10-40 mm rostrum-telson length, were seined
from brackish-water ponds on Sabine Island.  They were acclimated
for at least 5 days in the laboratory at 20% salinity and 20 C
before they  were  used in experiments.

     The avoidance response was tested in a black plastic apparatus
designed to  allow the shrimp to move from a holding area either
into a section which contained water with pesticide or into one
which  contained water without pesticide (HANSEN et al. 1973).  A gate
was lowered  at the junction between the two sections and the
holding area to trap shrimp for counting.   When a test was in
progress the apparatus was covered with black acrylic plastic to
exclude light.  Filtered sea water diluted with aerated tap water
to 20% salinity and maintained at 20 C entered the upper end of
each of the  two sections at a rate of 400 ml/minute and flowed to
1
 Gulf Breeze Contribution No.  147
 Registered  trademark:   Dow Chemical Co., (Dursban) and Union
Carbide Corp.  (Sevin).   Reference to trade names in this publi-
cation does  not  imply endorsement of the products by the
Environmental  Protection Agency.
                                  129
Bulletin of Environmental Contamination & Toxicology,
Vol. 9, No. 3, © 1973 by Springer-Verlag New York Inc.

-------
the drain in the holding area.  Pesticides dissolved in acetone
were metered through stopcocks at 0.5 ml/minute into the water
entering one of the two sections.  The same amount of acetone
without pesticide was metered into the water entering the other
section.  The two upper "Y's" served no specific function in
these tests.

    Pesticides selected for avoidance testing included five
insecticides and one herbicide (Table 1).   Concentrations of these
chemicals were selected so that one was higher and two or three
were lower than the concentration that flowing water bioassays
indicated would kill 50 percent of the shrimp in 24 hours (LC50).
Concentrations were not checked by chemical analysis.

                              TABLE 1

Description of chemicals tested and 24-hour LCSO's for grass
shrimp, Palemonetes pugio.
Pesticide
DDT
Endrin
Dursban
Ma lathi on
Sevin (Carbaryl)
2,4-D (butoxyethanol
ester)
Type
Organochlorine
Organochlorine
Organophosphate
Organophosphate
Carbamate
Herbicide
Personal communication, Jack I. Lowe
Agency, Sabine Island, Gulf Breeze,
Percentage
active
ingredient
99
97
99
95
98
70 (acid
equivalent)
, Environmental
Florida 32561,
24 -hour
LC50 (ppm)
0.0007
0.0015
0.0032
0.032
0.038
No effect at
1 0 ppm^
Protection
May 8, 1972.
 Static bioassay.

     The avoidance response was tested in two phases:

     1.  The ability of grass shrimp to choose between water that
contained a pesticide and water free of pesticide was tested.
Response to each concentration of pesticide was tested at least
four times; twice with the pesticide entering one section of the
apparatus and twice with the pesticide entering the opposite
section.  For each of the four replications, 50 shrimp were
placed in the holding area with the gate lowered.  After 30
minutes, the gate was raised to give the shrimp access to both
sections.  One hour later, the gate was closed and the number of
shrimp in each section was recorded.  This procedure was repeated
when additional data were required to verify the conclusions.

     2.  The capacity of shrimp to discriminate between concen-
trations of pesticide avoided in the first phase was tested.
                                130

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Experimental procedure was the same as in the first series of
tests except that the shrimp were given a choice between two
concentrations of the same pesticide.

    The ability of grass shrimp to avoid pesticides in both
phases was evaluated statistically by the chi-square test on the
assumption that if there was no response to the pesticides, the
shrimp that left the holding area would enter each section with
equal frequency.  Preliminary tests without pesticides indicated
that this assumption was correct.  Lack of any preference for the
right or left section in avoidance tests (49 vs. 51%) further
corroborated this assumption.  Avoidance or preference was con-
sidered significant if the probability that observed distribu-
tions would occur by chance was 0.05 or less.  Shrimp remaining
in the circular area after a test was completed were not included
in the statistical analysis because stationary shrimp may not
have been exposed to the two choices and moving shrimp may have
been in transit between areas.

                             Avoidance

    Grass shrimp avoided 1.0 and 10.0 ppm of the butoxyethanol
ester of 2,4-D by seeking water free of this herbicide but did
not avoid any of the five insecticides (Table 2).   The avoidance
response of two fishes, sheepshead minnows and mosquitofish, to
these same pesticides was tested identically and 2,4-D was the
most readily avoided (HANSEN 1969, HANSEN et al. 1973).   Fish in
TVA reservoirs were apparently repelled by application of 2,4-D
at 40-100 pounds per acre (SMITH and ISOM 1967).  Concentrations
of 2,4-D in reservoir water one hour after application reached
0.16 ppm; slightly less than amounts avoided by shrimp in our
tests.  Although statistical analysis indicated that grass shrimp
preferred 0.0001 ppm of DDT, this was probably not valid because
preference was observed in only one of three replications, and
shrimp did not respond to greater or lesser concentrations.

    Grass shrimp given a choice between two concentrations of
2,4-D selected the lower concentration (Table 3).   Up to 78 per-
cent of the shrimp that left the holding area avoided the higher
of the two concentrations.  Only 2,4-D was tested in this manner
because it was the only pesticide that shrimp avoided by seeking
water free of toxicant.
                                131

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                                                  TABLE 2

                        Capacity of grass shrimp to seek water free of pesticide"
                                             2
N.S. s not significant.
                                               - P(3.84 =  0.05;  6.63  »  0.01;  10. oj  :  0.001.

Pesticide
DDT



Endrin


Dursban


Malathion


Sevin



2,4-D


Concentration
(ppm)
0.01
0.001
0.0001
0.00001
0.01
0.001
0.0001
0.001
0.0001
0.00001
1.0
0.1
0.01
0.1
0.01
0.001
0.0001
10.1
1.0
0.1
Number of
tests
4
4
12
4
4
4
4
4
4
8
8
4
4
4
4
8
4
4
4
4
Number of
In pesticide
60
46
218
78
60
79
76
63
76
133
137
62
71
66
62
129
57
44
51
57
Shrimp*
In water
80
55
165
84
77
64
66
70
88
105
117
61
77
61
51
102
65
91
76
59
Percentage
in water
57.1
54.4
43.1
48.1
56.2
44.8
46.5
52.6
53.6
44.2
46.1
49.6
52.0
48.0
45.1
44.2
53.3
67.4
59.8
50.9
2
~y. value
N.S.
N.S.
7.334
N.S.
N.S.
N.S.
N.S.
N.S.
N.S.
N.S.
N.S.
N.S.
N.S.
N.S.
N.S.
N.S.
N.S.
16.363
4.921
N.S.
*Does not include shrimp in holding area at end of test.

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                              TABLE 3

Response of grass shrimp exposed to two-different concentrations
of the butoxyethanol ester of 2,4-D. -v  = P(3.84 = 0.05; 6.63 =
0.01; 10.83 = 0.001.

Concentrations
High
10.0
10.0
1.0

(ppra)
Low
1.0
0.1
0.1
Number of
In high
cone.
43
24
43
shrimp*
In low
cone.
90
85
67
Percentage
in low
Concentration
67.7
78.0
60.9
-v 2
^
value
16.61
34.14
5.24
*Does not include shrimp in holding area at end of test.

     Our study indicates that grass shrimp are less able to avoid
and are more readily affected by pesticides than were the fishes
used in earlier experiments  (HANSEN 1969, HANSEN et al. 1973).
Similarly, the European brown shrimp  (Cragon cragon) did not avoid
DDT (0.1 ppm), azinphos-methyl  (1 ppm), atrazine (10 ppm) and
aminotriazole  (1,000 ppm)  and were more sensitive to these com-
pounds than were fishes (PORTMAN In press).  These data suggest
that shrimp may be  extremely vulnerable to pesticide pollution
because they are (1) extremely  sensitive to pesticides and (2)
generally are  unlikely to  avoid water polluted by pesticides.
Consequently it is  important that pesticides destined for use in
and near estuaries  be  tested to determine their toxicity to
shrimp and the capacity of shrimp to  avoid them.

                           Literature  Cited

HANSEN, D.J.:  Trans.  Am.  Fish. Soc.  9£, 426  (1969).
HANSEN, D.J.,  E. MATTHEWS, S.L. NALL  and D.P.  DUMAS:  Bull. Envir-
on. Contam. Toxicol. J3,  (In press)  (1973).
PORTMAN, J.E.:  Proc.  FAO  Tech. Conf. on Marine Pollution  and
its Effects on Living  Resources and Fishing,  December  1970,
Rome  (In press).
SMITH, G.E. and B.C. ISOM:  Pestic. Monit. J.  JL,  16  (1967).
SUMMERFELT, R.C. and W.N.  LEWIS:  J.  Water Pollut. Contr.  Fed.
39, 2030  (1967).
WOOD, C.E.:  Contri. Mar.  Sci.  12.,  54 (1967).
                                 133

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CONTRIBUTION NO. 154

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                                  Reprinted from
                                ECOLOGY OF HALOPHYTES
                                       © 1974
                                 ACADEMIC PRESS, INC
                      MANGROVES: A REVIEW1

                            Gerald £. Walsh

                    Environmental Protection Agency

                        Gulf Breeze Laboratory

                             Sabine Island

                       Gulf Breeze, Florida 32561

    Associate Laboratory of the National Environmental Research Center,

                               Corvallis

   "The beaches on that coast I had come to visit are treacherous and sandy
and the tides are always shifting things about among the mangrove roots...A
world like that is not really natural...Parts of it are neither land nor sea and so
everything is moving from one element to another, wearing uneasily the queer
transitional bodies that life adopts in such places. Fish, some of them, come
out and breathe air and sit about watching you. Plants take to eating insects,
mammals go back to the water and grow elongate like fish, crabs climb trees.
Nothing  stays put where it began because everything is constantly climbing
in, or climbing out, of its unstable environment."

                           INTRODUCTION
  The quotation  above from Loren  Eisley's  eloquent  book, "The Night
Country," portrays in poetic terms the fascination of the tropical mangrove
forest for those who have studied  and researched that "not really natural"

 1 Publication  No.  154 from  the Gulf Breeze Laboratory, Environmental Protection
 Agency,  Gulf Breeze,  Florida  32561   Associate  Laboratory  of the  National
 Environmental Research Center, Corvallis.
                                  51

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                          GERALD E.WALSH

world. In the mangrove ecosystem, where tides and coastal currents bring
unremitting variation to the forest, plants, and animals adapt continuously to
changing  chemical,  physical,   and  biological  characteristics   of their
environment. Many species use  the environment dominated  by mangrove
trees  for food  and shelter during part  or all of their life  cycles. There is
constant movement  of living and non-living matter into and out  of the
mangrove swamp, and the  effects of such movement may be felt miles away
(Heald 1971, Odum 1971). Of course, not all tropical coasts are lined with
mangrove forests; often a mangrove stand is small, or only an occasional tree
dots the shoreline.
  The factors which determine development of coastal forests,  the ecological
roles  of mangroves  in estuaries, and their utilization  by man have been
studied at length. The references at the end of this review give over 1,200
published accounts  on mangroves.  I  am  certain  to  have  missed  many
publications in my search, but the number gives testimony to the importance
of mangroves in estuaries. For an historical sketch  of published works on
mangrove, see Bowman (1917), who traced the mangrove literature back to
325 B.C. and the chronicle of Nearchus, commander of the fleet of Alexander
the Great. Additional information is given in the reports of Walter and Steiner
(1936)  on  East African   mangroves,  Davis (1940b) on the  ecology and
geologic roles of mangroves in Florida, and Macnae (1968)  on  the flora and
fauna  of mangrove swamps in  the  Indo-West-Pacific region.  See also  the
excellent discussion of ecology of the Rhizophoraceae by van Steenis in Ding
Hou(1958).
  Davis (1940b) described "mangrove" as a general term applied to plants
which  live in muddy, loose, wet soils in  tropical tide waters.  According to
Macnae (1968), mangroves are trees or shrubs that grow between the high
water mark of spring tides  and a level close to but above mean sea level. They
are  circumtropical on sheltered shores and  often grow  along  the banks of
rivers  as far inland as the tide penetrates.  Chapman (1939, 1940, 1944a)
described silt, sand, peat, and coral reefs as  mangrove habitats. On the reef,
seedlings develop in holes and crevices in the porous coral rock, but the trees
are usually  stunted and the area occupied by the stand is not large. The reef
may be a habitat only in those areas where tidal height is not great, because
total  inundation  for  extended  periods  of  time can be fatal to  seedlings
(Rosevear 1947).  Another mangrove habitat,  the sand beach,  described by
Chapman (1940) supports Rhizophora mangle L. Later,  van Steenis (1962)
stated  that R. stylosa Griffith is often found  in sand  in the Indo-Pacific
region. Hathaway (1953) and  Moul (1957) reported stands of R. mucronata
Lamk.,  Sonneratia   caseolaris   (L.)  Engler,  and  Bruguiera   conjugata
(gymnorhiza?) Lamk is sand on several atolls in  the Pacific Ocean. I saw R.
mangle growing in sand in Hawaii.
  Boughey (1957) described mangroves which grew in two types of lagoons
on the west coast of Africa.  In open lagoons, some  of the mud around the
margins was exposed  daily at low tide. Rhizophora racemosa G.F.W. Meyer
                                 52

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                       ECOLOGY OF HALOPHYTES


 and R. harrisonii Leechman grew on the exposed mud. Rhizophora species
 grew only in open  lagoons which  were flooded daily. In closed lagoons,
Avicennia nitida Jacq. was the dominant form in association with Conocarpus
erectus L., Laguncularia racemose Gaertn., and Dodonea viscosa L.
   Burtt , Davy (1938) classified tropical woody vegetation types according to
"mature" or "apparently  stable" communities. Two of  his classes apply to
mangrove vegetation and are given here because much of the nomenclature is
in common usage today.
                    1. Tropical Mangrove Woodland
Name Suggested for Adoption: Mangrove woodland.
Synonyms: Mangrove, Mangrove swamp, Tidal forest.
Brief Definition: Woodland  formation below  high-tide mark; sometimes
forest-like. Nearest in  form to dry evergreen forest. A subformation of the
littoral swamp forest.
Habitat:  Soil flooded with water either permanently or at high tide; water
usually more or less brackish; on estuarine mud.
                      2. Tropical Littoral Woodland
Name Suggested for Adoption: Littoral woodland.
Synonyms: Strand vegetation, Beach forest, Dune forest.
Brief Definition: Woodland  formations in  situations  mentioned  below;
somewhat resembling semi-evergreen forest; open herbaceous vegetation.
General Description: The most  characteristic  species of this formation in
India and Burma is the evergreen but very light-foliaged Casuarina, which
often forms an almost  pure fringe on sandy beaches and  dunes along the sea
face. Scattered smaller evergreen trees occur, with fewer deciduous trees, and
these,  in the absence of Casuarine, form the dominant canopy.  On the east
coast of  Tropical Africa are such  species as Heritiera littoralis  Dryand,
Barringtonia  racemosa  L., Terminalia  catappa L.,  Phoenix reclivata, and
Diospyros  vaughaniae;  species  of Pandanus  and Coco*  nucifera L. are
characteristic  of this  formation, which  naturally includes  several species
whose  seeds or fruits are current-borne. Ipomea pescaprae commonly occurs
as a surface creeper on  exposed sand  dunes. Xerophytic herbs such as
Sansevieria, Opuntia, Kalanchoe, and Euphorbia are common.
Habitat:  Sandy and  gravelly seashores; not  subject to immersion, but under
constant  maritime influence.  All around  the coast wherever a fair width of
sandy beach occurs, including sandy bars on  the sea face of river deltas.
   In  this  discussion,  I shall  follow  Macnae  (1968)  and  use the  word
"mangrove" with  reference  to  individual  kinds of  trees,  and the  word
"mangal" with reference to the swamp forest community.
   It has been estimated that between 60% and 75% of the tropical coastline
is  lined with mangrove trees (McGill  1958) though some stands are more
extensive than others. There seem to be five basic  requirements for extensive
mangal development. They are:
   1. Tropical temperatures. Well developed mangals  are found only  along
coastal areas where  the average temperatures of the coldest month is higher
                                  53

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                          GERALD E. WALSH

than 20°C and the seasonal temperature range does not exceed 5°C (West
1956, van Steenis 1962).
  2. Fine-grained alluvium. Mangrove stands are best developed along deltaic
coasts or in estuaries where soft mud comprised of fine silt and clay and rich
in organic matter, is available for growth of seedlings. Quartzitic and granitic
alluvia   are  generally poor substrata, whereas  volcanic soils are highly
productive of mangroves  (Schuster 1952, West 1956, Haden-Guest et al.
1956, Macnae and Kalk 1962, Macnae 1968).
  3. Shores free of strong wave and tidal action. Mangroves  develop best
along protected  shores of estuaries because strong wave and tidal actions
uproot seedlings and carry away soft mud (Young 1930, Cockayne 1958).

  4. Salt water. Salt water per se is not a physical requirement of mangroves
(Bowman 1917, Warming and Vahl 1925, Rosevear 1947, Egler 1948, Daiber
1960). Mangroves  are faculative halophytes  that occupy tidal areas where
fresh-water plants, which are intolerant to salt, cannot live (West 1956).
  5. Large tidal range. A wide,  horizontal  tidal range has been  cited as
requisite for extensive growth  of mangrove (Foxworthy 1910, West  1956)
and  Chapman and Trevarthen (1953) stated  that a universal scheme for
comparison of different shores can be  based only on the tides as a universal
controlling factor. Although the tide per se is probably of little importance in
determining  the extent of  mangal development, on a shore of gentle gradient
and  large tidal range, a wide belt of alluvium will be formed, and with it, a
wide belt of mangrove. Deep tidal penetration would also cause saline water
to be distributed far inland. Davis (1940) described the action of wind in
driving salt water inland in  Florida.
  These five factors can determine the occurrence of mangroves, the species
present,  and the area occupied  by  a mangal.  Once established,  mangals
throughout the tropics have  many ecological  similarities. In the following
pages I attempt to summarize from accounts available to me, what is known
about mangroves and mangals.

                    GEOGRAPHICAL DISTRIBUTION

   Geographical  distribution of mangroves is similar in many ways to that of
 sea  grasses  (Den Hartog  1957)  and  marine  angiosperms  in general (Good
 1953). The main difference is that some mangrove species occur on both sides
 of the Atlantic Ocean and on the Atlantic and Pacific coasts of the Americas.
   Fig.  1 shows the general  geographic  distribution of mangroves. Among
 individual genera  and species,  distribution is undoubtedly influenced by
 whether or not the plant is  viviparous, and  the ability of the seedling to
 survive in sea water for  an  extended period of time. Dispersal  of resting
 seedlings by drift in the  open  ocean and by alongshore  surface currents
 permits wide geographic  range,  and temperature  and geomorphological
 characteristics determine distribution along individual coasts.
                                 54

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                      ECOLOGY OF HALOPHYTES


   Geographical  distribution is restricted, in general,  to  the tropics,  but
Oyama (1950) reported a small stand of mangrove on the southern  tip of
Kyushu Island at  35°N latitude. Later, van Steenis (1962a) identified  the
species there as Kandelia kandel (L.) Druce. Vu  Van Cuong (1964) reported
the Ryukyu Islands (about 27°N latitude) to be the northern limit  of R.
mucronata,  B. gymnorhiza, Avicennia marina (Forsk.) Vierth., Xylocarpus
moluccensis (Lamk.) Roem., X. granatum Koenig, Lumnitzera littorea (Jack)
Voigt, and  Lumnitzera  racemosa Willd. In the southern hemisphere van
Steenis (1962a)  reported the southernmost stand to  be on North Island of
New  Zealand at "less than 40°  south." Chapman and Ronaldson (1958)
reported  that dwarfed A. marina  grew in abundance in Auckland Harbor at
37°S latitude.
   Mangroves are present on the Pacific coast of South America only to about
4°S latitude due  to lack of sedimentation  below that point. It was once
thought that atmospheric drought caused absence  of  mangroves  from that
and other areas. Van Steenis (1962a) pointed out,  however, that  drought is
not a factor in distribution as mangroves grow in the Arabian Gulf, the delta
of the Indus River, southern Timor, and western Australia, where large  silt
deposits are found on arid coasts. The major differences between mangals on
arid coasts and those on humid coasts is the paucify  of the epiflora in  the
former.
   Every mangal is composed of two classes of plants: (a) genera and higher
taxa which  are  found only in the mangrove habitat and (b) species that
belong to  genera of inland plants but which are adapted for life in the swamp
forest. World distribution of genera that occur in  mangrove swamps is given in
Table 1. For a detailed listing of many forms in class "b" above, see Vu van
Cuong (1964). The fern Acrostichium aureum appears to be a circumtropical
associate   of mangroves since  it has been reported in mangles  of Ceylon
(Abeywickrama  1964), India (Biswas 1927), Africa (Bews 1916, Boughey
1957), and the West Indies (Borgesen 1909).
   Geographically,  mangrove vegetation may be divided into two groups: that
of the Indo-Pacific region and that of western Africa and the Americas. The
Indo-Pacific region is comprised of East Africa, the Red Sea, India, Southeast
Asia,  southern Japan, the  Philippines,  Australia, New Zealand, and  the
southeastern  Pacific   archipelago  as   far  east  as   Samoa.   The  West
Africa-Americas  region includes  the Atlantic  coasts of  Africa and  the
Americas, the Pacific coast of  tropical America, and the Galapagos Islands.
Mangroves are not native  to Hawaii, but R. mangle, B. sexangula (Lour.)
Poir., S. caseolaris,  and Conocarpus erectus have been introduced.
   Distributions of several species found only in  mangrove swamps are shown
in Fig. 2-8. These figures, with  Table i, show that (a) the greatest number of
genera and species occur along  the shores on the Indian and western Pacific
oceans, (b) there are no species common to East and West Africa,  and (c) the
species of the Americas and West Africa are related taxonomically. Species
found on  both the eastern  shores of the Americas  and the western  shore of
                                 55

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Table 1.  Distribution of plant genera that occur only in mangrove swamps




(Chapman 1970).
Families and Genera
Rhizophoraceae
Rhizophora
Bruguiera
Ceriops
Kandelia
Avicenniaceae
Avicennia
Myrsinaceae
Aegiceras
Meliaceae
Xylocarpus
Combretaceae
Laguncular ia
Conocarpus
Lumnitzera
Bombacaceae
Camptostemon
Plumbaginaceae
Aegiatilis
Total
species

7
6
2
1
11
2

?10

1
1
2
2

2
Indian Ocean
W. Pacific

5
6
2
1
6
2

?8

0
0
2
2

2
Pacific
America

2
0
0
0
3
0

?

1
1
0
0

0
Atlantic
America

3
0
0
0
2
0

2

1
1
0
0

0
West
Africa

3
0
0
0
1
0

1

1
1
0
0

0
                       Con't on next page







                                     56

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                          Table 1 con't
Palmae




     Nypa




Myrtaceae




     Osbornia




Sonneratiaceae




     Sonneratia




Rubiaceae




     Scyphiphora
                          55          44
                                    57

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       9Q    6O    3O      Q     3O     6O     9O     HO     ISO    1«O
       90     60     30      O
                                          6O     9O     HO    15O     1BO
Figure 1.    World distribution of mangroves (after Chapman 1970). ••••less than
            five species present;  -  •  - •  — •   five to twenty species present;
            _____ more than 20 species present.
       90     60     30
                                   3O     6O     9O     I7O    15O    ISO
                                   30     60     90     120    150    ISO
 Figure 2.    World distribution of Rhizophora species (after Ding Hou 1960, Vu Van
            Cuong  1964, and Chapman 1970).	R, mangle L.;     _,AA  R
            racemosa F f.Vf. Meyer; • • • R. harrisonii Le^hm •                g^
            mucronata Lamk.;     O O O R. apiculata Blume; +  + + R. stylosa Grif-
            fith;     • •  R. lamarckii Montr.	
                                    58

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        9O
               6O
                                                          130
                                                                  HO    I«O
                                                                  ISO     ItO
Figure 3.    World distribution of Avicennia species (after Vu Van Couong 1964 and
            Chapman 1970). + + + A. nitida (germinans?) Jacq.;  AAA A. schauerana
            Stapft;    C
-------
                                                 150	180
           30
                    60
                                       120
                                                 150
                                                           180
Figure 5.    Distribution of Sonneratia species (after Vu Van Cuong 1964 and Chap-
            man 1970).           S. alba J. Smith; • • • • S. caseolaris (L.) Engler
            * + * S. ovata Backer;       A A A  S. griffithii Kurz.; - • ^  • - &_
            apetala Buch.-Ham.                                    -
           30
                     60
                              90
                                        120
                                                 150
           3O
                                                 150
                                                           180
Figure 6.    Distribution of.
Cenoi
(Pen.) C. B. Rob.;	C.
            decandra (Griffith) Ding Hou; ••••KandeBa Kandel (L.) Druce (after~
            Vu Van Cuong 1964).
                                    60

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        »<>     «0    30     O     30     60     90     i?O
  Figure 7.    World distribution of Xylocarpus species (after Vu Van Cuong 1964).
              X.granatum Koenig;	X.moluccensis(Lamk.) Roem.;XX — X.
              gangeticus Park;   AAA X. minor Ridley; ®®  X. parvifolius Ridley;
              ••• X. australasicum Ridley;   ^A  X. guianensis; • • • * X. benadirensis
              Moll.
        9O     6O     3O
                                      3O    6O     9O     12O     ISO    ISO
        90     6O     30
                                      3O     6O     9O     I JO     ISO    ISO
Figure 8.    Distribution of         ^onocarpus ereotus L.; + + + Laguncularis racemosa
            Gaertn.: • • • • Lumnitzera racemosa Willd.; and	Lumnitzera littorea
            (Jack.) Voigt.
                                         61

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                          GERALD E. WALSH

Africa are R.  mangle, R. racemosa, R. harrisonii, Laguncularia racemosa, and
C. erectus. Pelliciera rhizophorae Planchon and Triana, a member of the tea
family (Theaceae), is found only on the Pacific coast of tropical America. It
occurs in  small communities on exposed areas such as the seaward tips of
point bars in  estuaries or in spots having hard, clay soils (West 1956). Fuchs
(1970) reported pure stands of P. rhizophorae on firm, sandy ground of low
salinity. Pelliciera  was associated with Rhizophora on low, muddy ground but
in this habitat, trees of both genera were small.
  There is confusion concerning taxonomy and distribution of Avicennia
species  on the shores of the eastern  and western Atlantic  Ocean. It was
commonly held that a single species, A. nitida, occurred on both sides of the
Atlantic Ocean. Moldenke (1960),  however, recognized A. nitida in  the
Americas  and A.  africana Moldenke in West Africa. Vu van  Cuong (1964)
discarded  the species nitida and recognized A. germinans in the Americas and
A. africana in West Africa. Both Chapman (1970) and Vu van Cuong (1964)
recognized four species  in the Americas and only one, A. africana, in West
Africa,  and toxonomists at this time seem to agree  that the American and
West African  species are closely related. Chapman (1970) speculated that the
reason for confusion is that speciation  is now occurring within the genus on
both sides of the Atlantic.
  There is also confusion in the common names of some mangroves. Those of
the genus Rhizophora are called "red" mangrove in both  the Americas and
Africa. Avicennia, called the "black" or "honey" mangrove in the Americas,
is known as the "white" mangrove in West Africa.  Laguncularia is called the
"white" mangrove in America.
  From taxonomic and distributional  considerations, Ding Hou (1960) and
van  Steenis  (1962)  concluded  that  Rhizophora,  Avicennia,  Xylocarpus,
Lumnitzera, and Laguncularia arose in  the Indo-Malaysian  region and spread
westward  to  East Africa and  (except Laguncularia) eastward to the Pacific
coast of  the  Americas. The  genera reached  the Caribbean  Sea  sometime
between the Upper Cretaceous Period and the Lower Miocene Epoch, when
the Isthmus of Panama was an open seaway.  After establishment on eastern
American shores,  the trees reached West Africa when seedlings were carried
across the ocean by surface currents.
  To explain why the mangrove floras of East and West Africa are separate,
van Steenis (1962a) postulated  that the climate of South Africa during the
Upper Cretaceous Period was not tropical and that mangroves could not have
been distributed from east to west around the Cape of Good Hope.
  As an interesting sidelight to the problem of distribution, Ding Hou (1960)
pointed out that broad areas of the Pacific Ocean, to which favorable currents
flow, do not  contain mangrove. He attributed this  to lack  of suitable coasts
for  successful implanting of seedlings. He also described R. mangle,  a native
of the Americas,  as present in New Caldonia, Fiji, and Tonga (see Fig. 2).
Chapman  (1970)  speculated that early  man carried seedlings from Pacific
                                62

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                       ECOLOGY OF HALOPHYTES


 America to those islands for growing trees to serve as a source of tannin.

                              ECOLOGY
   Mangrove  swamp forests  are complex  ecosystems  that  occur along
 intertidal accretive shores in the tropics. Dominated by estuarine trees, they
 draw many of their physical, chemical, and biological characteristics from the
 sea, inflowing fresh water, and upland forests. Mangrove swamps serve as
 ecotones between land  and sea, and elements from each are stratified both
 horizontally and vertically between the forest canopy and subsurface soil.
   The  canopy is  inhabited by  floristic  and faunistic elements from the
 tropical rain forest, including epiphytes, insects, reptiles, birds and mammals.
 Phytotelmata, filled with rain water, support a variety of algae, protozoa, and
 immature insects. Below the canopy, portions of tree stems are immersed, in
 relation to the tidal cycle, for  various  periods throughout  the day. An
 extreme example is Inhaca Island in southeastern Mozambique where stems
 are often  immersed for 8  to 12 hours per day at depths up to  2 m (Mogg
 1963). The surface soil of swamps is alternately inundated and drained. It
 supports animals such as crabs, amphibians, reptiles, air-breathing fishes, and
 mammals,  whose distributions  are governed by degree of tidal penetration
 and by  the nature  of the  substratum. At the landward edge of the  swamp,
 typically fresh-water forms such as frogs, monitors, and crocodiles  may be
 found (Macnae 1968), and  I have observed the toadBufo marinus in salinities
up to 10 ppt (parts per thousand) in a mangal in Hawaii.
   At the seaward edge, the mud  surface is often a truly marine  mid-littoral
soft-bottom  environment  (Rutzler   1969)  and  supports crabs,  shrimp,
shellfish,  etc.  Numerous  permanent  and semi-permanent  pools  contain
insects,  shellfish, amphibians, and fish. Throughout  the mangal is a network
of rivulets, creeks, channels, and often rivers which change in depth with tidal
eb"b  and flow. These contain numerous sessile  forms such as  algae, fungi,
tunicates,   sponges,  and   shellfish  which live  on mangrove  prop-  and
aerial-roots. Mobile  forms  such as worms, crabs, shrimp, and fish migrate
within the waterways  in  relation  to the tidal  cycle and nature  of the
substratum.
   Jennings and Bird (1967)  gave  six environmental  factors  which  affect
geomorphological characteristics in estuaries and,  therefore, the flora and
 fauna. The characteristics were:  (1) aridity,  (2)  wave  energy, (3)  tidal
 conditions, (4) sedimentation, (5) mineralogy,  and (6) neotectonic effects.
 All  have   been cited   as  factors in  mangrove  establishment.  Troll and
Dragendorff (1931) stated  that water, salt, and oxygen contents of the soil
 are also important.  On a short-term basis, tropical storms  are very disruptive
 to mangals (West 1956, Alexander 1967) and are the greatest single sources of
 repeated set backs to the vegetation (Exell 1954). On the other hand, storms
 may  carry propagules further inland than would normal tides (Egler 1952),
 and Mullan (1933) stated that seeds of mangroves are dispersed widely during
 the monsoon in Malaya.
                                  63

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                           GERALD E. WALSH


    Tides and type of substratum are probably the most important factors that
 govern the nature of intertidal communities (Chapman and Trevarthen 1953).
 In the case of mangroves, salinity of the' surface and soil waters are also very
 important (Davis 1940),  as  are temperature, rainfall, rate of evaporation,
 topography, and geomorphology.
 Surface Water
    One of the distinctive features of mangrove vegetation is the ability to live
 in salt water as  faculative halophytes. In such situations as reefs, lagoons, and
 the Florida Everglades, the surface water environment of mangroves is fairly
 stable in terms  of physical and chemical composition. In mangals, salt  and
 nutrient concentrations of surface water, whether in waterways or covering
 the swamp floor at high tide, is regulated by  (1) inflow of fresh water from
 upland areas, (2) inflow and  outflow of seawater with each tidal cycle, (3)
 precipitation, and (4) humidity.
    Chemical and physical data on the surface waters of mangrove swamps
 have been reported from the Great Barrier Reef (Orr and Moorehouse 1933);
 Inhaca Island,  Mozambique  (Macnae and Kalk  1962); Cananeira, Brazil
 (Teixeria and Kutner 1963, Teixeria et al. 1965, Okuda et al. 1965); Tabasco,
 •Mexico  (Thorn   1967); Hawaii (Walsh  1967);  and Trinidad (Bacon 1968,
 1971). Davis (1966) reported salinities up to 43 ppt and temperatures to
 39.5°C  in  a mangrove salt-water pool  in Jamaica.  Examples of extreme
 conditions in a  single swamp were given  by Walsh (1967) who analyzed the
 water at  six stations located between the landward and seaward edges' of a
 swamp in  Hawaii.  At  the  landward edge, tidal effect was minimal  or
 non-existant between August  1961 and November 1962, and the water was
 always fresh.  Oxygen content of the water was that of a dystrophic body,
 averaging 0.67  ml/L throughout the sampling period. None  of the factors
 measured were subject to large diel, monthly, or annual changes. Proceeding
 from the landward to the seaward stations in the swamp, diel changes became
 greater. At  the seaward edge, water chemistry at high tide was similar to that
 of open bay water with great variations in relation to the tidal cycle. At low
 tide the water was fresh, whereas at high tide salinity was always greater than
 25 ppt. In spite of such great differences in physical and chemical properties
 of the surface water, R. mangle grew  in a dense stand between the landward
 and seaward edges of the swamp.

   Bacon  (1968) gave similar data  for a mangrove swamp  in  Trinidad.  In
addition, he reported diel variations in concentrations of dissolved nitrate,
phosphate, silicate, and suspended solids. Increased concentrations of nitrate'
and silicate occurred at low  tide. Bacon suggested that either the inflowing
fresh water was  richer in nutrients than tidal water or that nutrients were
released  from  the  mud  at  low  water.  Walsh  (1967) found a  similar
phenomenon for both nitrate and phosphate, and ascribed this to greater
solubility  of  the substances in fresh water  than  salt  water.  He  also
demonstrated  the affinities  of the various types  of swamp  substrata  for
                                 64

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                        ECOLOGY OF HALOPHYTES

 nitrate and phosphate. In addition, nitrate and phosphate contents of swamp
 waters at low  tide were greater than  those of inflowing water. All  of this
 indicates a dynamic system in which nitrate and phosphate are released from
 or taken up by sediments covered by surface water.
   Watson (1928), DeHaan (1931), Walter and  Steiner (1936), Macnae and
 Kalk (1962),  and Macnae (1966) proposed  schemes for classification of
 zonation  of vegetation  within  mangals based  upon  tidal inundation and
 salinity. The details of these proposals were reviewed by Macnae (1968). In
 each scheme, vegetation of southeastern Asia was related to salinity of the
 water and Macnae (1968), using  the data  of Watson (1928), showed the
 general preference of Avicennia intermedia for coastal seawater and of A. alba
 for less saline water around the mouths of rivers. Rhizophora mucronata lived
 in water of greater salinity than R. apiculata. Bruguiera sexangula occurred in
 water of greater salinity than B.  cylindrica, B. parviflora, and 5. gymnorhiza.
 The three species of Xylocarpus lived in the less saline areas of the swamp.
   Davis (1940) related salinity of surface water to distribution of trees in a
 swamp in southern Florida. American swamps are simpler floristically than
 those of  Malaya  and Davis  demonstrated  the relationship between tidal
 penetration and salinity  to horizontal zonation. In Florida, R. mangle and
Luguncularia racemosa are mixohaline, but the  former is the pioneer species
 on seacoasts. Rhizophora mangle  was found by Davis to grow in salinities that
 ranged from  fresh water in the  Everglades to 34.9 ppt along the seashore.
Laguncularia  grew in "nearly fresh water"  to  water of 45.8  ppt, and was
usually found in association with  the  other mangrove species. Davis stated
"no  particular  habitat is definitely most suitable  for Laguncularia." This
concept was  extended by Thorn (1967), who  observed that Laguncularia
racemosa in Tabasco formed communities with other mangroves and had less
stringent habitat requirements than they.
   Davis (1940) reported A. nitida growing in the field in salinities between
36.8 ppt and 38.6 ppt although it  can grow  in fresh water in the laboratory.
This  species  seems to be  adapted  for survival  in  swamp areas with great
salinity fluctuations. The  community is not flooded deeply by tidal water and
salt is concentrated by evaporation during dry periods. During periods of rain,
the surface water is diluted greatly so that the Avicennia zone has a greater
range of salinity than any other. Conversely, Conocarpus erectus grew only
where salinity  was low and the  ground'covered only occasionally by tidal
water. Many Conocarpus localities had no  surface water; where there was
surface water,  salinity averaged  less  than 2 ppt. An important  factor for
survival of C. erectus seemed to be high salinity of the soil water. This will be
discussed in the next section.
 Sedimentation and Soil
   According to the nature of the substratum, mangroves may be classified as
 reef,  sand, mud, and peat types (Chapman 1940, Rutzler 1969). Also, some
 are found  occasionally among boulders, having roots within cracks or other
 niches, and use tidal water as  the source of nutrients. The typical sediments
                                   65

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                          GERALD E. WALSH


of swamps are composed of peaty, soft, sandy  or clayey mud. They  are
similar  to  the  sediments  of  salt  marshes, which  occupy  the  same
sedimentological position  at  higher latitudes. Mineralogy  of mangrove
sediments is concerned mainly with clastic detritus from rivers and calcareous
debris  formed  either biologically  by shelled  organisms  or by  inorganic
precipitation. Algae and  bacteria can also function in precipitation and pyrite
is often abundant in swamps, usually embedded within or attached to plant
remains. Along some shores, where tidal  and alongshore currents control  the
character of the sediments, siliceous and quartzitic sand may predominate.
   Mangroves  advance seaward only where  sedimentary processes  prepare
shallow water areas for growth of seedlings Mangals often are associated with
lateral  accretion of sediment along tropical  shores, and location, size, and
shape  of  swamps  are  influenced  strongly  by  the  pattern of  coastal
sedimentation. Hagen (1890)  and van Steenis (1941)  stated that  natural
coastal  accretion  by mud-silting  is the  major factor  responsible  for
development of large mangals. Although the trees do  not aid appreciably in
lateral  extension of shores, they do aid in accumulation of sediment with
subsequent build-up  of  soils  (Curtiss 1888, Vaughan 1909, Watson 1928,
Holdridge 1940, Egler 1952, West 1956, Boughey 1957, Vann 1959, Stoddart
1962, Scholl 1963, Thorn 1967, Macnae 1968). During high tide, brackish,
sediment-laden water overflows the numerous  creeks and  channels of  the
swamp. Alluvium is deposited on the swamp floor and, with autochthonous
organic and inorganic detritus, aids in land  elevation. Freise (1938) stated
that the  black color of  mangrove mud in Brazil was due to the presence of
iron sulphide.  The black mud was often covered by a 1-5 cm deep layer of
grey-brown  mud which  was either deposited  during tidal inundation or
affected chemically by oxygen in tidal waters.
   Accretion  of sediment along  alluvial coasts  is  regulated  mainly  by
physiographic-geomorphic processes such as (a) the rate at which sediment is
brought into an area by  rivers, and  tides,  (b)  the angle  of slope of the shore,
(c)  sedimentary distributional patterns, (d) subsidence or emergence of  the
coast, (e) other factors associated with changes in sea level, and (f) tidal-river
 channel development.  As  in other estuaries,  the  coarser  sediments  of
mangrove swamps are generally in the channels, the finer sediments along  the
shores  of the channels (Walsh 1967).  Also, when a river reaches the estuary,
the heavier particulate elements have been sorted out above the mangal, so
that the predominent sediments within the swamp are of fine-grained alluvium.
Near the mouth of the estuary, coarser sediments may again be found. These
originate from tidal and alongshore currents which have enough energy  for
deposition of small sand particles and calcareous detritus. The contribution of
inorganic  detritus  from  seawater  is usually  small, however, because strong
currents  do not allow seedling development.  River-borne  sediment is  the
greatest source of allochthonous material in most waamps and appears to be
especially important  in the Indo-Malayan region (Watson  1928, Schuster
1952, Macnae  1968).
                                  66

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                       ECOLOGY OF HALOPHYTES


   Sedimentation of  autochthonous matter is an  important  factor  for
mangroves  which are not influenced greatly by  fresh-water inflow. Davis
(1940) stated that the authochthonous mangals of Florida develop over three
primary soil types; namely, (1) siliceous sands, (2)  calcareous sands, and  (3)
calcareous mud marls. Mature R. mangle trees are thus sometimes found on
nearly bare rock with only small pockets for rooting, but more often grow on
deep peat soils. Although the general physical and morphological features of
soils vary greatly between mangals, the halotropic peats so often  found with
mangroves  are  composed   mainly   of  calcium  compounds  from  shells,
biologically precipitated calcite and  aragonite, and organic matter of floral
and faunal origin.
   Extensive  autochthonous  mangrove  swamps have developed along  the
western side of Andros Island in the Bahamas  where the rate  of carbonate
mud precipitation is great. Burkholder and Burkholder (1958) described  the
autochthonous sediments  of Bahia  Fosforescente  in  Puerto  Rico. The
sediments contained large amounts of mangrove roots, stems, and leaves, and
the authors stressed the important  influence of mangrove detritus on  the
chemistry and biology of the bay. At the present time, autochthonous peat
swamps are developing along the southwestern coast of Florida because of  the
paucity of sediments from rivers and streams.
   In southeast Asia, where large numbers of rivers drain uplands of volcanic
origin, large allochthonous  swamps  form in deltas,  estuaries,  lagoons, and
along sheltered open coasts. These allochthonous swamps are the most highly
developed mangals in the world (Watson  1928, Macnae 1968).
   Mixed authochonous-allochthonous swamps occur along the Pacific coast
of  Colombia  where there  is low  to  intermediate  supply of  river-borne
sediment (West 1956).
   Several systems  have been proposed for  the classification  of mangrove
swamp soils.  Aubert (1954) and Dubois (1954) classified mangrove soils in
relation  to  hydromorphic  characteristics and  salinity. Bonfils  and Faure
(1961) related halomorphic soil types to the degree of salt-and  fresh-water
flooding and  to the  relative concentrations of  chlorides  and sulphates.
D'Hoore (1963) typed  mangrove swamp soils  as "juvenile soils on marine
alluvium"  and   called  them "weakly developed   soils."  This  general
classification was accepted  by Giglioli and Thornton (1965), who suggested
further  subdivision  for agricultural purposes  according to soil texture, water
regime,  degree of gleying and/or mottling, amount of oxidizable  sulfur, and
relative amounts of chlorides and sulphates.
   Grant (1938), Davis  (1940b),  Chapman  (1940), Thorn (1967), Walsh
(1967), and Giglioli and King (1965) discussed the  evolution  of mangrove
swamps in relation to silting and plant succession. Davis (1940b)  listed three
main factors which promote soil accretion:  (l)mplar, (2) physicochemical,
and (3) biotic.
   Molar factors are mainly tides, littoral currents, and winds. The first stages
of accretion  consist of marine and estuarial  sedimentation,  resulting in
                                  67

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                           GERALD E. WALSH

formation of shoals, bars, and flats in the shallow water. At the same time,
deposition  of sediments  and  physico-chemical  precipitation  of dissolved
substances occurs when fresh and salt water mix (Jackson 1958).  This adds
carbonates, phosphates, nitrates, and  other substances to the developing soil.

   Hesse (1961b) reported that R. racemosa swamps  in  Sierra Leone were
comprised  of  fibrous  mud,   whereas  A.  germinans  swamp  soils were
non-fibrous. Also, Rhizophora  swamps had higher pH values, C/N ratios, and
contents of oxidizable  sulfur, nitrogen, phosphorus, and carbon. Giglioli and
Thornton (1965)  described the  early  phases of  swamp evolution  in the
Gambia, West Africa, where R.  racemosa pioneers in virgin alluvia  composed
of soft, silty  soil. Proliferation of fibrous roots at the soil surface produces a
"felt-like" layer which entraps sediment and increases the rate  of deposition
of both  alluvium and leaf litter. Rosevear (1947)suggested that the fibrous
mat formed by R.  racemosa prevents further establishment of that species
and conditions the soil for colonization :by Avicennia, which .requires a more
consolidated  and elevated substratum (Jordan  1964). As  the soil  surface
becomes elevated,  the  rhizophoretum  dies  and A. germinans replaces R.
racemosa (Giglioli  and Thornton 1965). The  many  pneumatophores of
Avicennia further  accelerate deposition and the forest floor becomes even
more elevated. According to Giglioli and Thornton, if the amount of drainage
from higher ground is large and the swamp near the main river or a tributary,
a balance occurs  between erosion  and drainage  of the  swamp  and land
elevation.
   Zieman (in press) found that in Biscayne Bay,  Florida, circular beds of
Thalassia testudiniim Koenig and Sims laid over depressions in the bedrock.
The depressions were over 5 m deep  and filled with mangrove peat dated to
be 3,680 years old. Wharton (1883) suggested that living mangroves and their
peat  produce organic  acids that dissolve bedrock. Zieman suggested that
bedrock  was dissolved  under mangrove hammocks and  hypothesized that as
the mangrove shoreline receded and sea level rose, Thalassia colonized the old
mangrove areas. Dodd  and Siemers (1971) described a very similar, situation
on  Bahia Honda and Big  Pine Keys  in the lower Florida Keys. They stated
that the  topography developed during the lowered sea level of the Pleistocene
strongly   controls   Holocene   sediment  thickness  and  present   biotic
distribution.  They said, however,  that  the depressions were sinkholes and
thick sediment  in underwater sinkholes promoted growth of  Thalassia,
whereas depressions in shallow water or in the tidal zone supported  growth of
R. mangle and A. nitida.
   Schuster (1952) reported deposition  of sediment on the mangrove forest
floor at  every spring tide in Java, the processes of land elevation and soil
formation being accelerated by growth of beach thistles (Acanthus sp.) which
produced large quantities of organic matter.
   Soil derived by sedimentation from river water is often poor in calcium
and potassium and, in mangrove  swamps, tidal  water is the main source of
                                  68

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                       ECOLOGY OF HALOPHYTES


salt. In the early  stages of mangal  development,  the clay particles absorb
calcium and  potassium salts from seawater and a fine-grained soil, rich in
minerals, results. As evolution of the swamp continues, shelled animals invade
and  grow  on the trees and substratum.  The organic  content  of the soil
increases and in the  moist  environment, decay  processes are  rapid and
calcareous particles are dissolved (Abel 1926). Wharton (1887) reported rapid
corrosion of CaCo3 in mangrove swamps at Aldabra. Fairbridge and Teichert
(1947) concluded that pools  on reef flats at Low Isles (Marshall and Orr
1931) were caused by  solution  of CaCO3 by mangrove swamp acids. Reville
and  Fairbridge (1957) suggested that the  principal agent for destruction of
CaCC>3 in mangrove swamps is carbonic  acid produced by decomposition of
organic matter. They also suggested that tannic acid from mangrove bark and
"humic acids" aid in decomposition.
   Very little is known about the factors that form and  condition mangrove
mud, which may lie in an unconsolidated state to a depth of ) .5 m. Schuster
(1952) discussed breakdown and modification of the substratum by bacteria,
fungi, actinomycetes, and myxomycetes. He mentioned the occurrence of the
bacteria Clostridium sp. and Azobacter sp. and the algae Nostoc sp. and
Anabena sp.  in mangrove  swamps and speculated  that  those organisms are
important in nitrogen fixation.
   Most of the organic debris on and within mangrove soils is authochonous.
Because of the saline water, relatively high pH of surface soil water (often as
high as 7.8)  and anaerobic conditions  at  low tide, plant  detritus is only
partially broken down by bacteria, fungi, and algae. This causes formation of
peat, which is composed mainly of plant remains.
   The role of birds in composition and fertility of mangrove soil has not
been  investigated  adequately.  Birds in  mangrove  have  been  described by
Cawkell  (1964),  Haverschmidt   (1965),   Ffrench  (1966),  Parkes  and
Dickerman (1967), Nisbet (1968), Field (1968), Dickerman and Gavino T.
(1969), Ffrench and Haverschmidt (1970), Dickerman and Juarez L. (1971),
and Ricklefs1 (1971). Large  numbers of birds (Ffrench reported 94 species in
mangrove ir\ Trinidad), including  egrets,  ibis, herons, spoonbills, anhingas,
pelicans, storks,  ospreys,  and eagles,  roost  in  mangrove trees but feed
elsewhere.  In this  way, nutrients  are  brought into the swamps and the
functions of such nutrients should be investigated.
   Analyses of mangrove peat have been reported by several workers. Davis
(1940) gavei detailed  accounts of soil  profiles in the  swamps of southern
Florida and, classified  them according to  their general  composition, i.e.
homogeneous, heterogeneous, or layered'. He also classified them on the basis
of the type of vegetation which covered the soil and the probable types of
vegetation  that  formerly  were  present   and  contributed  most  to the
accumulated  materials, Davis reported various types of soil profiles, some of
which  indicated progressive soil accretion, while  others did  not,  Giglioli and
Thornton (1965)  gave soil  profiles  from the Gambia  River  basin ;n West
Africa. The profiles indicated typical alluvial soils in fhe process of silting.
                                    69

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                          GERALD E. WALSH
   The composition of mangrove swamp substratum is dependent upon its
source, age, position in the swamp, organisms present, and scouring by water
flow in the channels  and  over higher ground at high tide. Walsh (1967)
reported that up to 74.6% of the substratum in the center of the channels of
a swamp in Hawaii was composed of shells, pebbles, and gravel with diameter
greater than 3.35 mm. All of the alluvial particles, however, were less than
0.23 mm in diameter,  and most sediments in mangrove  swamps are of small
grain size.
   Scholl (196-3) compared grain-size distribution of  clastic sediments in two
mangrove  swamps in  southwestern  Florida,  where  R.   mangle  was  the
dominant  species. In  the  swamp of  the Ten Thousand  Islands area, the
sediment was composed of fine  to very fine calcareous-quartzitic sand and
coarse  silt. The quartz content was  approximately 70%, carbonate mineral
10-20%, and  organic  matter  usually  less than  10%. Isopleths of grain size
showed a  zone of coarser-grained sediment (approximately 0.100-0.200 mm
diameter)   along  the   shore  flanking  a  belt  of  finer-grained sediment
(0.062-0.125  mm) inland.  Another  belt  of coarser  sediment (0.125-0.250
mm) lay landward of the finer-grained belt.  In contrast, the sediments  of the
Whitewater Bay  area  swamp were composed mainly of mollusc shells and
shell fragments. Less than  15% of the sediment was quartz and "little organic
detritus" was present.  The grain sizes of surface sediments fell between  0.054
and 0.540 mm in diameter. Distribution of grain size was variable throughout
the swamp. Scholl attributed the differences  in sediment characteristics
between the  Ten Thousand  Islands  and  the  Whitewater Bay  areas  to
differences in patterns  and  strengths  of the  tidal  currents.  Strong tidal
currents which washed the  former were lacking in the latter. Tables 2  and 3
give grain-size distributions in several swamps.
   There is a paucity of  data on physical and  chemical  characteristics  of
mangrove  soil.  Values  for physical  and  chemical factors  from forests
dominated by different  trees with different substrata overlap (Doyne  1933;
Davis 1940; Bharucha and  Navalkar 1942;  Chapman 1044a, b,  c; Navalkar
and Bharucha 1948, 1949; Schuster 1952; Wyel 1953;He
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Table 2.  Percentage grain-size distribution (mm diameter) in mangrove




swamp surface sediments.
El Salavador (Wyel 1953)




  >1.0 mm            0.0-5.27.




   1.0-0.5           0.0-4.2




   0.5-0.4           0.0-8.0




   0.4-0.3           0.0-6.0




   0.3-0.2           0.0-18.0




   0.2-0.1           0.0-18.0




   0.1-0.06          0.0-16.6




   0.06-0.03         22.0-43.8




   0.03-0.017        7.0-32.0




   0.017-0.007       3.0-27.0




   0.007-0.003       0.5-8.0




  <0.003             0.5-5.0
Brazil (Friese 1937)




 >0.2 mm           4.7-7.0%




  0.2-0.06




  0.06-0.03




  0.03-0.006




  0.006-0.003
 <0.003
7.2-11.8




6.7-10.1




6.6-10.4




22.1-24.5




43.6-46.6
India (Navalkar 1941)




  2.0              3.9-4.0%




  0.2              38.2-38.6




  0.02             29.5-33.1




  0.002            3.9-4.3
Java (Schuster 1952)




   2 mm              0%




   2.0-0.1           2




   0.1-0.05          5




   0.05-0.01         30




   0.01              63
Florida (Scholl 1963)




  Median grain-size from 10




  stations varied between 0.006




  and 0.700 mm.
Jamaica (Chapman 1944)




   Coarse sand       39.9%




   Fine sand         26.5




   Clay              5.1



   Silt              15.7
                                   71

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                           GERALD E. WALSH


Table 3. Grain-size distribution in surface sediments of swamps dominated by
Avicennia alba (Navalkar 1941) and A. marina (Clarke and Hannon 1967).
Coarse sand = 2.0 mm diameter, fine sand = 0.2 mm, silt = 0.02 mm, clay =
0.002 mm.

Species                               Percentage of Dry Soil

A. alba
A. marina
Coarse sand
4.0
75.2
Fine sand
38.4
3.8
Silt
31.3
1.7
Clay
4.1
4.8
 However, Avicennia marina and Arthrocnemum australasicum occurred only
 where  high  salinity of the soil water endured for long periods of time or
 where there were wide variations in salinity. Giglioli and King (1966) pointed
 out that A. germinans grew in old soils of high salinity and that this high salt
 content was a function of time.  Avicennia was apparently able to exclude
 Rhizophora  racemosa  because it was better adapted to high concentrations of
 salt. Avicennia, unlike Rhizophora, absorbs large quantities of salt through its
 roots and excretes them through the leaves (Scholander et al 1962). As shown
 above, the fibrous nature of the substratum also appears to be important in
 colonization, and it is most likely that combinations of factors, including soil
 salinity, regulate species distribution.
    Clarke and Hannon (1969) concluded that  tidal action, as modified by
 microtopography, was the major factor which affected soil salinity over long
 periods  of  time, and that succession was  mainly allogenic  rather  than
 autogenic.  This  concept  was  shown  to be  true  by Thorn (1967),  who
 demonstrated that although biotic and geomorphic processes are effective in
 short-term changes on actively accreting shores, physiographic  processes of
 sedimentation and subsidence are more important over a long period of time.
 Physiographic changes  influence salinity  of the soil,  degree of water
 saturation, soil type, and drainage, and therefore greatly influence the species
 present.
 Zonation and Succession
    In  general,  in areas  of large mangals,  five geographic belts can  be
 distinguished (West 1956): (1) a belt of shore water and mudflats along the
 coast, (2) a series of discontinuous sand beaches, variable  in size, which are
 interrupted  by tidal inlets and  mudflats, (3)  a zone  of mangrove forest,
 usually  one-half  to three  miles  wide,  (4)  a  fresh-water swamp,  and (5)
 equatorial rain forest. Although  the beach zone is frequently absent, this
 zonation was described in the Malay Peninsula (Watson 1928), western Africa
 (Grew  1941), the Congo  (Pynaert  1933),  and in Guiana (Martyn 1934).
                                  72

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                       ECOLOGY OF HALOPHYTES


Within the mangrove belt, there is usually a serai succession of vegetation in
relation to hydrological and climatic conditions. Day et al. (1953) held the
salinity gradient to be of great importance to distribution in South Africa,
and described correlations between rainfall, evaporation, upflow of salt water
 from the sea, and serai change.
   There have  been  several  attempts to  classify  mangrove  vegetation
 according to physical characteristics  of the environment. Watson  (1928)
 described two general classifications: (1) mangroves that grow on accretive
 shores  and  (2) those that grow on sand. Watson also  related species to the
 tidal cycle  and described five classes:  (1) inundated by all high tides, (2)
 inundated by medium high tides, (3) inundated by normal high tides, (4)
 inundated by spring tides, and (5) occasionally inundated by exceptional or
 equinoctial tides.
   Stevenson and Tandy (1931), working at Low Isles in Australia, described
 the  mangrove habitat as (1)  dense woodland,  (2)  muddy glades, and (3)
 shingle tongues. At present, mangrove types are  sometimes considered to be
 related to the type of soil present. Troll and Dragendorff (1931) and Walter
 and Steiner (1937) described  mud and reef mangroves; Chapman (1944a)
 added  the  categories  of sand and  peat mangroves. These four types are
 generally recognized today.
   Tansley, Watt, and  Richards (1939) suggested that mangrove vegetation be
 considered  as a formation type on a world-wide basis. They recognized two
 subformations: (1) the New World subformation, including western Africa,
 and (2) the Old World subformation. Chapman (1944a) recommended that a
 third subformation, the Australasian, be recognized because the species of
 Avicennia are very distinct in their distribution and segregate into these three
 geographical regions.
   Davis  (1940) said  that the mangrove  formation is  composed of serai
 communities. Although reef  and  sand communities  appear  to  be  climax
 stages,  the statement of Davis is generally true. The order of zonation varies
 considerably-even in-geographically-related areasvPor example-, in the "Old
 World subformation, Rhizophora is the pioneer species along river banks and
 in the  more protected regions  along oceanic shores, whereas Avicennia or
 Sonneratia pioneer on shores of greater wave and tidal action. In Jamaica, R.
 mangle  pioneers  along  protected  shores,  while   Laguncularia  racemosa
 pioneers on sand spits where wave action is greater (Chapman 1944a).
   Chapman (1940) pointed out that the presence of sea grass in submerged
 areas accelerates the  seaward extention of  mangrove because it raises the
 height of the sea bed, allowing R. mangle seedlings to grow.
   The serai nature of mangrove vegetation  in the Indo-West-Pacific region
 was described in detail by Macnae (1968), who recognized succession in every
 mangal he  visited. Macnae stated that variation in  development was often
 found, succession being complete only where the amount of available fresh
 water exceeded that lost through evaporation and transpiration. When losses
 through evaporation and transpiration exceed income from rain and rivers,
                                  73

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                           GERALD E. WALSH
the soil becomes hypersaline and zonation is interrupted.
   Macnae described the effects of fresh-water imbalance in a zone ofCeriops
tagal (Perri) C. B. Rob. This zone was located between a seaward fringe of
Bruguiera gymnorhiza and a  landward fringe of A. marina. Where fresh-water
loss  exceeded gain, C.  tagal  became  stunted.  With increasing excess of
evaporation, the Ceriops  bushes  died, forming a bare area which expanded
both landward and seaward until only a few bushes grew  near the Avicennia
and Bruguiera fringes.
   In Florida, Davis (1940b)  was  the first investigator  to give a detailed
account  of  succession  in   a  mangal.  He   recognized seven  principal
communities: (1) The pioneer Rhizophora mangle zone. This seaward stage
was  composed  of mangrove  seedlings  of  various age growing in marl soil
below  the  level  of  low  tide  in shallow   undisturbed  water. Thalassia
testudinum  Koenig and Sims  and  Cymadocea manatorum Aschers grew in
shoal areas  near  this  zone,  and  Spartina alterniflora Loisel was present in
some  parts  of Florida. (2)  Mature Rhizophora  consocies. This stage was
composed of mature R.  mangle  with well-developed prop roots growing in
mangrove peat. (3) /Iwcermia-salt marsh consocies. This stage was composed
of the tree  A. nitida and the salt marsh plants Satis maritima L., Salicornia
perennis Mill, Spartina alterniflora, S. spartinae (Trin.) Merv, Monanthochloe
littoralis Englem., and Sporobolus  virginicus (L.) Kunth. This mangrove salt
marsh consocies grew on  peaty soil  and accumulated large amounts of organic
and inorganic detritus. During dry periods, soil salinity was very high, whereas
salinity was very low during  rainy periods.  In some places, Avicennia was
more than 30 cm in diameter, but in other places was a small gnarled bush.
(4) Mature mangrove associes. This stage consisted of large trees of R. mangle
and A. nitida  growing  together on peat  soils in water  of low salinity  at
approximately the mean high tide mark. (5) Laguncularia racemosa consocies.
This stage did  not occupy a specific habitat, but was found with both the
mature mangrove associes or between the Avicennia-sdt marsh associes and a
Conocarpus associes when the natural mangrove associes was not present. (6)
Conocarpus erectus transition associes. This was the final stage of mangrove
succession in Florida, as  it was bordered on its landward edge by sand dunes,
upland tropical forest, or fresh-water marsh. Davis considered the Conocarpus
associes to be an ecotone, not a  definite serai community. This was disputed
by Chapman (1944a) who  reviewed  the work of Borgeson  (1909) and
concluded that Conocarpus  formed a true serai stage. Chapman later (1970)
considered the Conocarpus community to be  an ecotone  between saline and
fresh-water  communities. West  (1956) described the final  stage in serai
succession in Colombia as dominated by C. erectus in the drier and less saline
areas.  (7) Dwarf-form mangroves. Davis recognized a scrub-mangrove facies of
dwarfed Rhizophora, Avicennia, and Laguncularia, which grew above the high
tide mark in fresh water. This dwarfed form was common in the Everglades
region.
                                  74

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                        ECOLOGY OF HALOPHYTES


   Thome  (1954)  listed  many other  plants in  the  mangals  of Florida.
Holdridge (1940) gave  an extensive  description of the vegetative characters
and general characteristics of R. mangle, Langucularia racemosa, C. erectus,
and A. nitida,  and reported Petrocarpus officinale Jacq., Anona glabra L.,
Bucida buceras  L., and Drepanocarpus lunatus G.F.W.  Meyer living in the
mangals of Puerto Rico.
   Chapman (1944a) compared succession in the  swamps  of Jamaica with
that in Florida (Figs. 9 and 10). In both cases, Rhizophora was the pioneer
form,  with  Avicennia,  Laguncularia, and  Conocarpus inland. Asprey and
Robbins  (1953) stated  that  there  were few associates  with mangrove  in
Jamaica,  a pattern similar to  mangals  in  other parts  of the world.  Batis
maritima, Salicornia ambigua Michx., Acrostichium aureum L.,Alternanthera
ficoides, and S. virginicus occurred in the swamps of Jamaica. In other parts
of the world, other genenf and  species occupy similar positions. For example,
Taylor (1959) described the mangals of Papua, New  Guinea, as follows:
              PROTECTED
 Bays and cays

 Thalassia-Cymodocea associes
               Avicennia consocies
               (sand, mud, or peat)
             Laguncularia consocies
              (sand, mud, or peat)
    EXPOSED

      Bays

Thalassia-Cymodocea associes
Laguncularia consocies
(consociation on cays)
  Rhizophora locies
iools and wet depressions)
 Dune-Strand vegetation
                                                      Reed-swamp consocies
                                                       (Typha domingensis)
 Figure 9.    Succession in the mangrove swamps of Jamaica (Chapman 1944a).
                                    75

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                              GERALD E. WALSH
 Open water
Beach associes
Dune associe
    Marine 'grasses'

   Rhlzophora family

        V
Mature Rhizophora consocies
                            Avicennia, salt-marshVassocles
                                                   Scrub mangrove
                                                      fades
                                    transition associes   Marl prairie
                                                     associes
                                                               Rhizophora, brackish
                                                                 marsh lociee
                                                               Rhizophora. fresh
                                                                marsh locies
                                                                    4-
                                                               Fresh-water marsh
                                                                aasocies
                                                               Plneland, adaphlc
                                                             subcllntax association
                                 Tropical Forest

    Figure 10.  Succession in the mangrove swamps of Florida (Chapman 1944a).
 1.  Salt water swamps
    a. Tidal mangrove sequence
    b. Mangrove marsh sequence
 2.  Brackish water swamps
    a. Brackish swamp sequence
    b. Estuarine sequence.
    In the tidal mangrove sequence, each succeeding community occurred at
 sites with successively longer periods of tidal inundation. The shore pioneer
 species was C. tagal,  followed by a broad  zone  of R. mucronata and B.
 gymnorhiza. The final  stage  was dominated by Heritiera littoralis. The
 boundary between the H. littoralis  zone and the rain forest was dominated by
 Intsia bijuga (Colebr.) O. Kunz. and was very sharp. All  of the mangrove
 species occurred  as scattered individuals in all of the communities, although
 the dominant species comprised over 50% of the number of species, and there
 were sharp transitions between the  zones.
    In the mangrove marsh sequence, there was a fringing area of A. alba trees
 up to 12m high, which  changed gradually to a thicket of the same species up
 to  6 m high. The thicket was bordered by swampy soil devoid of vegetation
 and  Taylor suggested that  the sequence  from  tall  trees  to bare swampy
 ground was  regulated by soil salinity.
                                    76

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                       ECOLOGY OF HALOPHYTES


   Brackish  water swamps occurred where mangrove forest  was bordered
inland by fresh-water swamps. There were only two sharply-defined zones:
(1) a zone composed predominantly of A. alba and B. gymnorhiza, with a
dense ground  cover of the fern Acrostichium  speciosum Thunb.; and (2) a
zone dominated by Parinari corymbosum (Bl.) Mig. Hibiscus tiliaceus L. was
present in small numbers. Acrostichium speciosum was generally abundant in
this zone, but Acanthus ilicifolius L. sometimes made up 50% of the ground
cover.
   The estuarine sequence was similar to the tidal mangrove sequence, except
the palm Nypa" fruticans Wurmb. dominated the zone which bordered the
fresh-water swamp.
   In West  Africa (Nigeria), Jackson  (1964)  recognized six  groups of
mangrove on the dual basis of range of habitat and dispersal of seeds.
   Group 1. Species restricted to the tidal areas and with specialized seed
habits. This group included R. racemosa, the pioneer species  at the water's
edge and on the.storm beach,  and A. nitida dominant along the  inner edges of
closed lagoons. Boughey (1957) found Rhizophora only in open lagoons and
Avicennia only in closed lagoons in West Africa. Bews  (1912) reported B.
gymnorhiza  from lagoons in Natal. In the case of Rhizophora species,  Keay
(1953) considered R. racemosa to  be the pioneer species, with  R. mangle
following on  drier ground  and R.  harrisonii  on wet ground. These  were
followed inland by A. nitida,  Laguncularia racemosa, and C. erectus. Gledhill
(1963) pointed out that the propagules  of R. racemosa are between 30 and
65  cm long and, by virtue of their length, are suited for establishment in
flooded mud.  The seedlings of R.  mangle are approximately 20 cm long and
those of  R. harrisonii  30 cm  long.  Gledhill  felt these were adapted for
establishment  on  less  heavily silted  soil  under more  vigorous  water current
conditions.
   Group II. Species found normally in tidal areas and with specialized fruits
but  normal  seeds, or  with  buoyant  seeds.  Genera in  this group  were
Drepanocarpus, Dalbergia,  Ormocarpum, and Hibiscus.  The seeds of  these
groups germinate in the water.
   Group III. Species widely distributed  along water courses and in swampy
areas, usually  with unspecialized  fruits.  The genera here were Pterocarpus,
Cynometra,  Lonchocarpus, Phyllanthus,  and Phoenix. Seeds of the first four
are buoyant and  are found floating in water.  Seeds  of Phoenix  have  never
been found in  the drift.
   Group IV.  Species not restricted to water courses in the forest areas and
with no  marked  specializations. These  species are associated with high or
well-distributed rainfall. The fruits and seeds are not associated witli dispersal
by water. This group included Anthocleista, Elaies, Conibretum,  Alchornea,
and Paullinia.
                                  77

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                           GERALD E. WALSH


   Group  V. Cultivated  plants. These  are  plants which occur  in  strand
vegetation  and  have floating fruits which are dispersed by water. Genera
include Cocos, Terminalia, and Anacardium.
   Group VI. Species whose seeds and seedlings are found in the swamp but
with few  or no mature  individuals present.  These include  Lonchocarpus,
Halomosia, Spondias, Cleistopholis, Dioclea, and Entada.
   It is  clear that mangrove swamps are not  the simple communities some
writers thought them to be. Macnae (1966) described in detail a complicated
succession  in the swamps of Queensland, Australia. There, the pioneer tree
was A.  marina  where  there was  a large amount of fresh-water  inflow, or
Sonneratia alba where the influence of saline water was strong. The Avicennia
zone was composed of a row of mature  trees, two or three trees deep, with
thickets of seedlings and saplings extending out onto a beach. Often, where
the influence of fresh water was  strong, Aegiceras corniculatum Blanco
 occurred  in large numbers  in the  seedling and sapling thickets. On the other
 hand, where S. alba fringed the shore, the pioneer belt  was well-developed.
 The alga  Catenella  nipa Zanard  colonized  the  pneumatophores of both
 Avicennia  and Sonneratia. Macnae found  no other algae  there. This was
 exceptional as large numbers of algae are present on the pneumatophores of
 both genera in southern  Australia and eastern Africa. The substrata of
 shoreline  fringes were considerably  firmer than either the foreshore in front
 or the Rhizophora forest behind because both/tw'cermw  and Sonneratia have
 a mass of intertwining absorptive  roots which lie 20 to 40 cm below  the
 surface.
   Behind the  ocean  fringe,  there occurred  an  ocean shore  sub-fringe
 composed  mainly   of  7?. stylosa and  occasionally  of  R.  mucronata.
 Rhizophora formed the fringing zone along creeks. Ding  Hou (1958) and van
 Steenis (1962)  held that R. stylosa was found only on sandy shores and coral
 terraces. Macnae stated that both R. styloas and R. mucronata grew in mud,
 sand, and on coral debris, and speculated that the two forms are actually
 variants of a single species. Whatever the  taxonomic position may be, it is
 clear that  in contrast to the New World genera the southeastern-asiatic and
 eastern Africa  forms of Avicennia are  better adapted  for pioneering than
 Rhizophorous forms (see Watson 1928; Macnae 1963, 1968).
   In contrast  to the  pioneer fringe, the substratum in the well-developed
 Rhizophora forest was always very soft and  muddy due to entrapment of
 sediments between the  prop roots.
   Landward of the Rhizophora forest lay broad areas of either (1) thickets
 dominated by C. tagal, where the amount of rainfall was intermediate, or (2)
 forests  dominated by Bruguiera, where  the amount of rainfall was large. In
 the thickets, C. tagal was ordinarily the only species present, but Bruguiera
 exaristata Ding Hou was sometimes subdominant. Occasionally, A. marina, B.
gymnorhiza, R.  apiculata, R. stylosa, Xylocarpus granatum  Konnig,  and X.
                                  78

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                       ECOLOGY OF HALOPHYTES


 australasicum Ridley were  present. In areas of much rainfall, the Ceriops
 thickets were narrow and bordered by very dense forests dominated by either
 B. parviflora or B. gymnorhiza. In B. gymnorhiza forests, scattered specimens
 of X.  australasicum occurred and  the fern A. speciosum grew between the
 trees.  The Bruguiera forests were the tallest of the Australian  mangrove.
 Height of the trees  appeared  to depend upon  the amount of fresh water
 available, with tallest  trees in areas of highest rainfall.
   The landward fringe of the Queensland mangals was the most diverse of all
 serai stages. Avicennia marina was the most abundant  tree, but B. exaristata
 Ding Hou was common, and C.  tagal, C. decandra, Lumnitizera agallocha, L.
 littorea, R. apiculata, and Exocoecaria agallocha L. were present. Xylocarpus
 granatum  and  X. australasicum  were  present  occassionally. Where  the
 landward fringe bordered a  rain forest, many of the forest epiphytes grew on
 the mangrove trees. These included the orchids Dischidia nummularia R. Br.
 and  Dendrobium sp., the ant plant Myrmecodia (beccari Hook.?), and the
 ferns Drynaria rigidula Bedd., Platycerium sp., Polypodium acrostichoides
 Forst., and P. quercifolium L.
   The above description by Macnae of serai succession in a  mangal is, in
 general, typical  of the  large swamps of the Indo-Pacific region. This  author
 (1966,  1968) described  characteristics  of large  mangals  in detail, and
 concluded that zonation of mangrove trees was due to the interaction of (1)
 frequency of tidal flooding, (2)  salinity of  the  soil  water, and  (3) water
 logging Of the soil. All three are modified by the presence of creeks, gullies,
 channels, and rivers.  The second  and third depend upon rainfall and/or the
 supply of fresh water, evaporation, transpiration, and the nature and quality
 of the soil. Chapman and Trevarthen (1953) stated that on muddy or sandy
 shores, distribution of  organisms  is related to the nature of the substratum
 which  controls drainage, aeration, and penetrability.
   The possible  role of tidal flooding in  relation to succession of Jamaican
mangroves was shown by  Chapman (1944b), who related vegetation types to
the number of tidal submergences per year. His data showed decreasing tidal
influence between the seaward R.  mangle stand and the landward  C. erectus
stand (Table 4).
   Tidal flooding alone  does not determine species composition, zonation, or
succession in mangals. Clarke and Hannon (1967, 1969, 1970, 1971) studied
the physical habitat of mangroves in Australia in great detail. They concluded
that soil did not play a  major role in control of plant distributional patterns
and that plant reaction on the soil did not regulate serai change.  Microclimate
was important in providing  conditions necessary for  seedling  development,
determining soil characteristics, and influencing competition between species.
Clark  and Hannon showed  that the holocoenotic complex (Fig. 11) was
intricate and  that  variation in any of the  components affected species
distribution. The  main factors were degree of tidal flooding, elevation of the
land, and salinity of the soil  water. Plant zonation was associated closely with
elevation  above mean sea level,  seasonal patterns of  soil salinity,  and small
                                   79

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                             GERALD E. WALSH
Table 4. Number of tidal inundations in a mangrove swamp in Jamaica (Chapman,
1944b).


        Vegetation                      Inundations per year
  Rhizophora swamp                            700+
  Rhizophora/Avicennia boundary                524
  Avicennia swamp                              432
  Aeicennia/Laguncularia boundary                213
  Center of salina                                150
  Laguncularia/Conocarpus boundary                4

  differences   in microtopography.  Also, light  and water-logging of the  soil
  were  important   to distribution,  and  a  comparison  of  environmental
  requirements of  coastal halophytes was made (Fig. 12). The authors stated
  that  the  sharpness  of zonation depended upon the intensity of species
  interaction  at ecotones. Slight environmental changes related to topography
  produced intense competition  which made significant  factors that were
  normally  of  secondary  importance.  Generally,  the  severity  of  the
  environment, including covering by mud and tidal scouring, determined the
  success of a species in advancing seaward, whereas landward extension was
  governed by ability to compete with other species in relation  to salinity,
  availability  of fresh water, temperature, light, and humidity.
     Macnae (1966) criticized the  Watson (1928) scheme of classification based
  on frequency of tidal flooding  (described above) because it applied only to
  ever-wet forests in Malaya. Instead, Macnae proposed that zonation be based
  on the dominant tree. Dansereau  (1947), in a phytosociological study of
  mangrove  in Brazil, described  three  natural associations: Rhizophoretum
 manglei,   Avicennietum   tomentosae,   and  Laguncularietum   racemosa.
 Cuatresasas (1958) described the  mangrove associations of South America as
 Rhizophoretum   brevistylae,   Rhizophoretum   mangleae,  Brugieretum
 gymnorrhizae, Sonneratietum  albae,  and  Avicennietum  nitidae.  Schnell
 (1952) described five "edaphic" associations in West Africa: Rhizophoretum
 racemosae,    Avicennietum   nitidae,    Drepanocarpeta-Rhizophoretum,
 Ecastophylletum  (Dalbergiaetum)   brownei,   and  Cyperteum  articulati.
 Chapman (1970), in a very  important  paper on  mangrove phytosociology,
 compared succession  in  mangals throughout  the tropics  and  gave  eight
 schemata that depicted zonation (Figs. 13-21).  Chapman  concluded  that
 there  is great similarity in the vegetational communities and suggested  an
 extensive   classification   of  natural  associations   according   to   the
 Braun-Blanquet system. The classification consisted of 8 alliances, 15 orders,
 and 40 associations, but must be  considered tenuous at this  time because of
 lack of taxonomic and systematic data from  many localities.
                                  80

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     Slope of land


     Proximity to water  source
        Drainage and aeration

                t
          Biotic factor
             Genotype
                                             Tital  inundation <

                                                 4-
                            Elevation above mean sea level


                                     wind -
                                           Salinity of soil water
     t  \\\
      I     \ \   B»lnf«ll

     *     \\
:ent and nature   \    Evaporati<
plant cover      \^
          L^^«^\
               ^^* Nature of


             Insolation _^_
                                                                            1 Height of water table
Figure 11.   The holocoenotic complex in mangrove swamps and salt marshes of the Sydney
              District, Australia (Clarke and Hannon 1969).
           Positive salt requirement
  Mangroves
                                                           Small, if any, salt requirement
                                                              High light requirement
                                                 High salt        Intermediate        Low salt
                                                 tolerance       salt tolerance       tolerance
                                                 Requirement     Indifferent to       Intolerant of
                                                     for          waterlogging         waterlogging
                                                 waterlogging
                      Arthrocnemum     Suaeda       Triglochin     Sporobolua, Jimcus
1 1
Seedlings tolerant Intolerant of
of 1
To 1 era
waterl
ow light low light
nt of Tol
ogging o
erant Intole
f waterlogging
rant
    Figure 12.    Environmental requirements of coastal halophytes of the Sydney District,
                  Australia (Clarke and Hannon 1971).
                                               81

-------
Horth
Spartina j
Dlstichlis
~TJ
Avicennia nitida
Salt Marsh


Central
Avicennia nitida
Lasuncularia racemoaa
i
Salt Marsh


South
Rhizophora mangle
Rhi zophora
Avicennia ^ ^^
~T^
Avicennia nitida I
^ \
Laguncu lar ia I
^ \
Conocarpus A
^v
Rhizophofa-
Sawgrase
  Figure 13.   Succession in the mangrove swamps of the Gulf of Mexico and the Caribbean
             Sea (Chapman 1970, Schema 1).
N. BRAZIL

Rhizophora racemosa

i
Avicennia nitida
Avicennia schaueriana
Lagunucularia
racemnsa

S. BRAZIL

Spartina
brasillensls
I
Rhizophora mangle
i
Avicennia nitida
Laguncularia


COLOMBIA .
(hard clay)
Pelliciera
rhizophorae
\
Avicennia
Lagunculai
ECUADOR
(mud)
Rhizophora
harrisonii
/;
nitida **
ria




S*
Rhizophora
mangle


/^
Conocarpue
	
Acres tic hum
(brackish)




Figure 14.   Succession in the mangrove swamps of South America (Chapman 1970, Schema 2).
                                      82

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                                              Rhizophora  racemosa

                                                 R. harrlsonli
     R.  harrjgonli
Figure  IS.   Succession in the mangrove swamps of West Africa (.Chapman 1970, Schema 3).
  CENTRAL
  SOUTH

  UNHACA)
                            North

                        Avicennia marina

                        Arthrocnemum
                             (sand)
                        Avicennia marina
                        (seaward)
                                             (mud)
                   Soimerati.
                      alba
                                            South

                                       Avicennia marina
                                                               Rhi zophora mucronata
                                                               Cerlops taga1
                                                               Bruguiera gyronorhiza
 (rivers)

Rhizophora mucronata
                                                 I
Xylocarpus obovatus ^, Cerlopa tagal
Heritiera littoralia        .
+ Acros tichum             ^
                     Ayicgnnja. marina
                       (landward)

              (Coast)

          Avicennia marina ,
                                                                    (Rivers)

                                                               RhizopJTpra roucronata
                            •estops tagal           \
                            iru^uiera gymnorhiza     \
  Figure 16.    Succession in the mangrove swamps of East Africa (Chapman 1970, Schema 4).
                                                83

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             BOMBAY                          GODAVAM

Avicennia   _  ^^^^^ Sonneratia     * Hyrroatachya
   alba    <
+ A. officinalis
  Acanthus iltcifoltus
       CEYLON

Rhizophora
 + R. apiculata
Bruguieri
Ceriops
                                                                     Avlcennia
                                                                     Excoecaria     Mixed
                                                                        (felling)    Mangrove
                                                                      |«"
                                                                                     ^
                                                                               Hyg fruttcajis
                                                                               Acroatichum
                                                                                  aureum
                                                                               Acanthua
                                                                                 ilicifolius
     Figure 17.    Succession in the mangrove swamps of India (Chapman 1970, Schema 5).
       (Sand)
                                                Ceriopa
            Her 1 tier a minor
                                                                    Mixed mangro
                                                                       Rhizophora micronata
                                                                       + Rhizophora apiculata
     Figure 18.    Succession in the mangrove swamps of India (Chapman 1970, Schema 6).
                                              84

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        (Silt)
                                       Open Coast


                                     (Sand)
                                                                 (Creeka, Bays,  Lagoons)
                                                                Rhlzophora mucronata
                                                                      thora apiculata
                                                                        (brackish)

                                                                          I
                                                                        Sonneratia
                                                                         caseolaris
                                                                        Hypa fruttcans
                                                                        Herltlera Uttoralia
Figure 19.   Succession in the mangrove swamps of Malaysia, Indonesia, and Borneo (Chapman
             1970, Schema 7).
      S. W. & N. Key Zeal.
                                                    + H. & N. East
Rhlzophora
mucronata

1
Avicennia
marina

Ar throcnemmn
Sonneratia
al
+ Camp 	
ba
ostemon
schultzli



1
/
/
/
i /
Avicennia
marina
;+ Aeglceraa
~
(Creeks)
ilzophora stylosa
ilzophora apiculata
t
Rhlzophora s tylosa /
Rhlzophora apiculata /

J
\
/
Brugulera gymnorhlza
Bruguiera parvi flora
+ Xylo carpus
^^^ australasicum
*T
Excoecaria
Xylocarpus
(felling) /
Lumnltzera
Cerlops (wet)
Aeglceras ^_

Avicennia
marina
Avicennia salt marsh






(arid)



                         Acrostlchum speciosum
    Figure 20.   Succession in the mangrove swamps of Australia (Chapman 1970, Schema 8)
                                            85

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                                   PAPUA/HEW GUINEA
                                      (aand)
                                                                    (estuaries)
Rhi zophora

—

i
"

f iz
Heritiera litoralis
Bruguiera
1 ^
Avicennia -^x^*^
Ceriops *




Aegiceras
^ corniculatum
Rhi zophora mucronata
* BruRuiera j^vmnorhi za
/
Lumni t zera
^^ raceme sti
Avlcennia SeSuvium
Excoecaria i
^^ "*¥
Excoecarja
Hibiscus
tiliaceus
1
Excoecaria
Melaleuca
Figure 21.   Succession in the mangrove swamps of Papua, New Guinea, the Philippines, and
             Oceania (Chapman 1970, Schema 9, part 1).
          Ryukyu IB_.
         Kandclla candel
                                         (mud)
    (sand)
Sonneratia alba
Aviccnnia marina
(+ Camp tostemon
 ""    philippincn^is)
  (Viet Nam)
                              FIJI & TOHGA
                            Bruguiera gymnorhiza

                            Heritera litoralis
  Figure 21.   (Continued). Succession in the mangrove swamps of Papua, New Guinea, the
               Philippines, and Oceania (Chapman 1970, Schema 9, part 2).
                                           86

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                      ECOLOGY OF HALOPHYTES
                            ADAPTATIONS

  Warming (1883) stated that mangroves have adapted to their environment
through  (1)  mechanical  fixation  in  loose  soil,  (2)  respiratory  roots and
aerating  devices,  (3)  viviparity, (4) specialized means of dispersal, and (5)
development of  xerophytic  structures in relation to soil  salinity. Walter
(1931a, b; 1936a, b) and Walter and Steiner (1934) concluded from studies in
East Africa  that zonation  was related to the  capacity of mangroves  to
compete  and survive in saline soils.  Thus,  they distinguished zones  of
Rhizophora,  Avicennia,  and Sonneratia  and stated  that Rhizophora and
Avicennia bore great fluctuations in soil salinity, whereas Sonneratia required
a constant chloride content. It is clear, however, that  zonation depends also
upon  morphological  and physiological adaptations.  Wenzel (1925)  gave
detailed  descriptions  of the  anatomy of R. mucronata,  R. mangle,  B.
gymnorhiza,  C.  candolleana, A.  officinalis,  and X.  granatum.  Chapman
(1944c) described functional morphology of A. nitida in detail and presented
data on physiology of the pneumatophores. The  gross morphology of most
species is described in  many manuals of tropical trees.
Anatomical
  Marco (1935)  described the  anatomy of the woods of rhizophoraceous
species from  both mangals and upland forests of the Indo-West-Pacific region.
He  divided the family into three groups and stated that the mangrove genera
formed a well-defined, natural aggregation that was readily separable from all
other  members  of the  family. He suggested that Rhizophora,  Bruguiera,
Ceriops, and  Kandelia be placed in an independent family. Marco placed the
four genera  in the anatomical division Rhizophoreae, characterized by (1)
heavily barred, exclusively scalariform perforation plates, (2) characteristic
scalariform  intefvascular pitting,  (3)  little  vasicentric parenchyma, (4)
numerous fine-celled  multiseriate  rays and  very few uniseriate rays, (5)
libriform  fibers with inconspicuous  pits, and unilaterally and  bilaterally
compound pitting between rays and vessels.  These features segregated the
four  genera  from all   other  groups  of  the Rhizophoraceae,  but  their
significance as adaptive features has not been determined.
  Reinders-Rouwentak (1953) stated  that, in the  Sonneratiaceae,  the mature
wood  of species from more saline environments contained a larger number of
smaller vessels than species from less saline areas. For example, S. griffithii
from the seashore of Bengal  had 34-50 vessels/mm^ and the diameter range
was 85-100 u. Sonneratia apetala from the river had 18-32 vessels/mm^ with
diameter  range  of 135-150  u. Heiden (1893) gave  a detailed  account of
anatomy   of  the  Combretaceae,   including   the   genera  Conocarpus,
Lumnitizera, and Laguncularia.
                                  87

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                          GERALD E. WALSH


   Macnae (1968) reviewed adaptations of mangroves with regard to growth
in ill-consolidated mud, specializations of stems  and leaves, relationships
between root and shoot systems, and vivipary. Robyns (1971) considered
mangroves to be the only truly viviparous plants. He defined vivipary as the
process in which the seed remains attached in the fruit to the mother tree,
germinates into a protruding embryo with a long hypocotyl, and finally falls
from the tree. Genkel' (1962) speculated that mangroves evolved  in the
ancient tropical forest from xerotic plants in which the seeds had no dormant
period and loss of fruit from  the tree was delayed by  chloride in the  soil
water.
   The roots  of mangroves are not deep and tap roots are not present.  For
descriptions of mangrove root  systems see Goebel (1886), Schimper (1891),
Troll (1930), Troll  and  Dragendorff (1931), Uphoff (1941), and Macnae
(1968). Zieman (in press) found that height of R. mangle was related to root
length. In Rhizophora, the primary roots of the hypocotyl function for only
a  short period of time and root functions are  assumed by secondary roots
which extend from  the  main  trunk. The cause of cessation of growth of
primary  roots is not known, but Warming  (1877),  Johow  (1884),  and
Schimper (1891) suggested that they are injured mechanically by crabs  and
snails. There  are two kinds of  roots in Rhizophora: (1) aerial roots that arise
from the main trunk and form arched stilts which penetrate the ground (prop
roots) and (2) subterranean roots that arise from the prop roots. Aerial roots
also arise adventitiously from the lower branches of trees. The prop and aerial
roots function in aeration and ventilation of the tree in general and of the
subterranean roots in particular. Most mangroves have schizogenous lacunae
in the cortex of the roots. The main function of the subterranean roots is
absorption of water and nutrients.
   The anatomy of  aerial roots has  been described  by Warming (1883),
Schenck (1889), Karsten (1891), Leibau (1914),  Bowman (1917), Mullan
(1931, 1932, 1933), and Gill  and Tomlinson (1971). According  to Gill  and
jrprrJjnsQnJ.aerial_rQots_first ap.pear.Qn theJiypocatyLor lower intejnades.af.
seedlings after 1  to  3 first-order branches have been produced. Later, they
arise on higher internodes and lower branches. Aerial  roots also  develop on
the high branches of mature trees. In  general, the aerial roots originate on the
shoot in  acropetal  sequence. Gill and Tomlinson  (1971)  gave a detailed
account of root growth and anatomy.
   When  aerial roots reach and penetrate the ground,  they undergo marked
changes which relate  to subterranean function. According to Bowman (1917),
the  absorptive subterranean roots are  thick, spongy, and gas-filled due to'
great development of the primary cortex. The primary cortex of absorptive
roots is composed of large cells and very large intercellular spaces in which
idioblasts, trichoblasts, and root hairs are   lacking (Bowman  1921). The
periderm  of the absorptive root consists only of cork cells, whereas that of
the  aerial root consists of both cork and "parenchymatic" tissue (Bowman
1921). Bowman  also reported stone cells and idioblasts in all  parts of R.
                                  88

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                        ECOLOGY OF HALOPHYTES


 mangle except the flower. These were trequently associated with tannin cells.
 Sclerenchymatous tissue occupies a large portion of the stem and hypocotyl
 of mangrove and makes anatomical study very difficult.
   Two other  rhizophoraceous genera, Bruguiera and Ceriops,  do not have
 aerial roots. Instead, they have subterranean cable roots which differentiate
 into knee roots  that penetrate the soil surface, and absorptive roots (Marco
 1935).
   Troll and Dragendorff (1931) gave an extensive account of the cable root
system of Sonneratia, and similar roots systems are present in some species of
Avicennia,  Lumnitizera  racemosa,  X.  australasicum,  and X.  moluccensis
Roem. For an extensive study of anatomy of respiratory roots of mangroves,
see Ernould( 1921).
   Chapman (1944c) showed that the composition of gas in the roots of A.
nitida  was similar  to air and that there  was no fundamental difference
between composition of gas in the pneumatophores and in  the horizontal
roots. He stated that the large cortical air spaces allowed longitudinal gas flow
between organs. Scholander et al. (1955)  studied respiratory gas exchange in
the roots  of A.  nitida  and  R.  mangle. The radial roots of A. nitida send
numerous pneumatophores up to 30 cm  above the ground. There is a direct
gas connection between the radial roots and the pneumatophores. When the
tide  covered the pneumatophores, there was a decrease in the oxygen content
of the whole root system. At low tide, oxygen comprised between 15  and
18% of the gas content. At high tide, oxygen content was about 7%. At high
tide,  the  oxygen content dropped until the  pneumatophores  were again
exposed to air at  low tide. There was little change in carbon dioxide content
of the roots over the tidal cycle.
   Gas in the subterranean roots oof R. mangle contained 15 to 18% oxygen
and  there  was always  a direct gas connection between these roots  and
lenticels on the prop roots.  The high oxygen tensions in the roots were
maintained by  means of ventilation through the lenticels on the prop roots
(Scholander 1955).
   Macnae (1968) gave diagrams of the cross sections of leaves of Rhizophora,
Avicennia, and  Sonneratia. Schimper (1891,  1898) showed that the leaves of
most mangroves contain water storage tissue. This is initially in the form of a
hypodermis in  Rhizophora and Avicennia and a centrally located layer of
cells in Sonneratia.  Stace (1966) made a detailed study  of leaf anatomy of
seven genera (Tables 5  and 6) and also the epidermal characteristics of
Bruguiera  spp. and Avicennia spp. He concluded that the leaf and epidermal
characteristics of  mangroves are similar to most xeromorphs. All species had
common epidermal features, notably a  thick  cuticular membrane, straight
epidermal cell walls, and  the presence of water-storage tissue, hydathodes,
cork warts, and  water  stomata. See Artz (1936) for descriptions of the
cuticula  of  S..  alba,  C. candolleana,  R.  mucronata,  B. gymnorhiza,
Lumnitizera racemosa, X. obovatus,  and A.  officinalis. In the  study of Stace,
almost all of the species studied had sunken stomata or stomata surrounded
                                  89

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Table 5.  Characteristics of the leaves




(Stace 1966).
                                        of rhlzophoraceous mangroves
Venous system on
upper epidermis



Venous system on
lower epidermis


Rhizophora
Midrib only, very
broad and conspic-
uous; cells broader
than long

Midrib only, very
broad and conspic-
uous, or lateral
veins also discer-
Ceriops
Midrib only, nar-
row and inconspic-
uous; cells broader
than long

Midrib only, very
broad and conspic-
uous

Bruguiera and
Kandelia
Midrib only,
narrow but
conspicuous ;
cells broad-
er than long
Midrib only,
very broad
and conspic-
uous
                   nxMe




Epidermal cells    Straight- or curved-




of non-venuous     walled, not second




areas              divided, mostly ca.




                   11-25 u across
Stomata
Subsldary




cells
Sunken, ca. 30-55




x 20-35 u; outer




stomatal ledge con-




spicuous, single or




with minute second




lip








5-8, cyclocytic











    Con't on next page
Straight- or cur-




ved-walled, not




second divided,




mostly ca. 15-35




u across




Sunken, ca. 36-46




x 22-34 u; outer sto-




matal ledge conspic-




uous, conspicuously




two-lipped
6-8, cyclocytic
Mostly straight-




or curved-walled,




not second divi-




ded, mostly ca.




15-40 u across



Sunken, ca. 30-




44 x 16-28 u;




outer stomatal




ledge conspicuous




in some spp. con-




spicuously two-




lipped




4-6(8), cyclocytic
                                     90

-------
                           Table 5 con't
Water stomata,




hydathodes and




cork-warts
Hypodermis, in-




eluding extra epi




dermal layers








Mesophyll
Water-storage




tissue
Large conspicuous




cork-warts on lower




epidermis, sometimes




also on upper epi-




dermis; water-like




structures on both




epidermides




Upper three-to five-




layered, sparsely




chloroplasted; lower




usually absent




One to three layers




of palisade and ca.




eight to ten layers




of spongy below




upper hypodermis









Upper hypodermis  ?
Cork-warts + absent;




frequent water-sto-




mata-like structures




on both epidermides
All apparently



absent
Upper two-layered,




sparsely chloro-




plasted; lower




usually absent




Usually one layer




of palisade and




ca. eight to ten




layers of spongy




below upper hypo-




dermis




Upper hypodermis ?
Upper and lower




one-layered,




densely chloro-




plasted




Usually one layer




of palisade and




ca. eight to ten




layers of spongy




below upper




hypodermis




Absent, or  ?




sometimes in




spongy mesophyll
                                       91

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Table 6.  Characteristics of leaves of combretaceous mangroves (Stace 1966).
                     Lumnitzera
                                           Laguncularia
Venous system      Absent, or midrib     Midrib only,  broad




on upper epider-   only very inconspi-   and conspicuous to




mis                cuous; cells longer   very inconspicuous;




                   than broad            cells longer  than




                                         broad




Venous system on   Midrib only, broad    Midrib only,  broad




lower epidermis    and conspicuous       and conspicuous
Epidermal cells    Straight-walled, not  Straight- or slight-




of non-venous      second divided, most- ly curved-walled,




areas              ly ca. 25-40 u across many second divided,




                                         mostly ca. 15-30 p
Margin
Stomata
Of several regular    Of small cells with




rows of rectangu-     rounded lumina not




lar cells with        arranged in rows




angular lumina




Sunken or not, not    Scarcely sunken, not



protected by hairs,   protected by hairs,




always more frequent  usually more fre-




on upper epidermis,   quent on upper epi-




absent only from      dermis, absent pnly




margins, randomly     from margins, orien-





           Con't on next page
  Conocarpus




At least midrib




and lateral




veins distinct;




cells longer than




broad




Midrib, lateral,




secondary and




lesser veins




distinct




Mostly curved




or straight-




walled, not se-




cond divided, most-




ly ca. 15-35 u




across




Of several regular




rows of rectangu-




lar cells with




angular lumina




Not sunken, pro-



tected by dense



hairs or not,




usually slightly




more frequent on




lower epidermis,
                                       92

-------
                           Table 6 con't






                   oriented, ca. 24-     tated at right




                   32 x 19.5-24.5 u.;     angles to midrib on




                   outer stomatal ledge  upper epidermis, ca.




                   conspicuous, single   25-35'x 20-26 u;




                                         outer stomatal




                                         ledge conspicuous,




                                         single
Subsidiary cells   (3)4-5(6), cyclo-




                   cytic
Trichomes
Water stomata,




hydathodes and




cork-warts
Domatia
(3-)4(-5), cyclo-




cytic
Compartmented hairs   Compartmented hairs




only, often extreme-  and apparently ses-




ly sparse to absent   sile deeply sunken




on both epidermides   glands on both




                      epidermides




Large water-stomata   As in Lumnitzera




present on both       but very sparse




epid.; hydathode-




like areas pre-




sent, mostly on mid-




rib of lower epidermis




and on margin




Shallow pits along    Absent




margins may be




rudimentary domatia











        Con't next page
absent from mar-




gin and lower




epidermal midrib,




randomly orienta-




ted, ca. 25-30 x




17-25 u; outer sto-




matal ledge fair-




ly conspicuous,




single




3-6, not differ-




enfei-afced







Compartmented




hairs and stalked




superficial glands




on both epidermides









Usually apparent-




ly absent, rare-




ly a few water-




stomata present
                       Large, primary-




                       axillary lebeti-




                       form domatia on




                       lower epidermis
                                       93

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                           GERALD E.WALSH
                       Table 6 con't
Mesophyll Two layers of pali-
sade below each epi-
dermis; spongy absent




tissue layers of centrally
placed + isodiamet-
ric cells, not
chloroplas ted


Two layers of pali-
sade below upper
epidermis ; one to
two layers of
spongy, palisade
or mixed above
lower epidermis
lajers of centrally
placed + isodiamet-
ric cells, very
sparsely chloro-
plasted

One or two layers
of palisade below
upper epidermis,
one layer of pali'
sade above lower
epidermis;
spongy absent
layers of cen-
trally placed +
vertically elon-
gated cells,
sparsely chloro-
plasted
by  dense  trichomes. All genera, except Avicennia and Conocarpus,  lacked
lateral and lesser epidermal veins, a condition associated with development of
water-storage tissue. Stack also gave a key  to the genera based on epidermal
characters of the leaves.
  Bowman  (1921)  observed  that  the   water-storing  hypodermis  and
tannin-containing cells  of R.  mangle were much larger in trees that grew in
seawater than in  trees  from brackish water. Possible reasons  for this will be
discussed under "Physiological" in this report.
  Sidhu (1962, 1968)  reported chromosome numbers of mangrove species
from  India (Table 7).  He concluded that  most species from the mangrove
habitat  possess higher chromosome numbers than other species of the same
genera from  mesic habitats.  However, among the mangroves, the  size and
number of chromosomes did not show any correlation to habitat conditions.
Physiological
  Most  research  on  physiology  of mangroves  has stressed halophytic
adaptations. Halophytes  are  ordinarily distinguished  from  other plants by
their ability to grow in high concentrations  of salt. They complete their entire
life cycles and compete successfully with other plants in saline environments.
Genkel' and Shakone (1946) classified halophytes  as (1) Euhalophytes (salt
accumulating),  (2) Crynohalophytes (salt  excreting), (3) Glycohalophytes
                                  94

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                             Table 7.   Chromosome numbers (n) of mangroves and related species from India  (Sidhu 1962, 1968).
                             Family and Species
                                                           Chromosome Number
                                                                                  Family and Species	Chromosome Number
VC
Rhizophoraceae




   R. mucronata                  18




   R. conlugata                  18




   13. parviflora                 18




   B_. gjymnorhiza                 18




   £. candolleana                18




   C. roxburghiana               18




Sonneratiaceae




   £. apetala                    12




   Duabanga sonneratloides       12




Myrsinaceae




   Aegiceras corniculatum        24




Salvadoraceae




   Salvadora persica             13




Acanthaceae




   Acanthus illcifolius          24




Verbenaceae




   Avicennla alba                16
Chenopodiaceae




   Suaeda nudiflora               18




   S_. monoica                      9




   S_. maritima                     9




Euphorbiaceae




   Exocoearia agallocha           65




Palmae




   Sypa fruiticans                 8




Sterculiaceae




   Her!tiera littoralls           19




Meliaceae




   Xylocarpus moluccensis         21




   Xylocarpus gr ana turn            21




Fapilionaceae




   Derrls uliginosa               10




Rubiaceae




   Ixora parviflora               11

-------
                           GERALD E.WALSH


(salt  impermeable),  and  (4)  those  in  which  salt  is  localized  in special
structures. Depending on the species, mangroves may be placed in (1), (2), or
(4).  It  is doubtful that mangroves  are intolerant or obligate halophytes,
although Stem and Voight (1959) and Connor (1969) have shown that R.
mangle and A. marina grow best when salt is present in the soil water. Some
mangroves (e.g.  R. mangle,  C. tagal, N. fruiticans) adapt to glycophytic
conditions and may be considered to be faculative halophytes. Mangroves
species have been reared in fresh water in the laboratory, and Stocker (1924,
1925) proposed the term "miohalophytes" for such plants.
  Harbour (1970) suggested that ability to reproduce, rather than short-term
growth, should be the ultimate criterion of salt tolerance, but this has not
been  studied with regard to mangroves. In the  field, Bowman (1917), Davis
(1940), and  Stern and Voight (1959) in Florida, and Pannier  (1959) in
Venezuela reported that R* mangle grew and reproduced in fresh water, but
height of trees and area covered were greatest in brackish water.
  In  the laboratory, Winkler (1931) reported that Bruguiera eriopetala and
R. mangle grew and flowered in pots of sand watered only with fresh water.
Davis (1940) grew R.  mangle in fresh water in the laboratory. Pannier (1959)
grew  the same species  in rain water and in salinities up  to  full strength
seawater. Although seedlings grew in the rain water, root growth was optimal
at 50%  seawater  and  shoot growth was optimal in 25% seawater. Stern and
Voight (1959) reported that height, dry weight, and survival of R. mangal
increased with increasing salinity in the  laboratory. They used  artificial
seawater, and plant dry weight was approximately three times as great in the
highest  salinity  than  in  the  lowest. Maximum  growth occurred at  salt
concentrations equivalent to  seawater. Tatil (1964) grew R. mucronata, K.
candel, B. parviflora, C. tagal, A. ilicifolius, X. moluccensis, E. ,agallocha, and
Heritiera fames in salt concentrations between 0.3 and 1.2%. All species grew
at all salinities, but growth  was  best at 1.2%. Clarke and Hannon (1970)
found that A. marina at the 0-2 leaf stage maintained optimal growth in 20%
seawater. Concentrations above 60% seawater  retarded growth. Seedlings at
the 2.4 leaf stage were more tolerant, and optimal growth occurred at 40%
seawater. Connor (1969) reported that  the optimal  concentration  for
laboratory growth of A. marina from Australia was approximately 1.5%,  or
half  the concentration of seawater. Connor reported that suppression  of
height by higher salt concentrations was more marked than suppression  of
dry weight production. An important aspect of Connor's work was that while
growth  appeared normal when sodium chloride was the main component  of
the salt mixture, potassium chloride and calcium choloride suppressed growth.
Connor  suggested that  high concentrations  of calcium  caused nutrient
imbalance leading to iron deficiency and speculated  that the responses  of
mangroves to specific ions reflected the physiological ability of the plants to
adapt to concentrations in the root environment.
   Temperature as a factor in seedling establishment  of A. germinans was
shown by McMillan (1971). Exposure to temperatures of 39-40°C for 48
                                  96

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                       ECOLOGY OF HALOPHYTES


hours was lethal  to stemless seedlings, but not  to seedlings with stems and
roots.
  Bharucha and Navalkar (1942)  reported the chloride content of leaf cell
sap of A. alba in  relation to that of seawater and soisalinity (Table 9). They
concluded that seasonal variations in the chloride  content of leaf cell sap were
dependent  directly upon  climatic conditions of temperature, rainfall,  and
humidity. It will be  shown  later that  such high sap concentrations are
common in mangroves that possess  glands for salt  excretion.
Table 9. Chloride content of seawater, soil water, and leaf cell sap of A. alba
(Bharucha and Navalkar 1942).

                                            Percent Chloride

         Seawater                              0.77-3.24
         Soil  Water                            0.55-3.47
         Leaf cell  sap                         1.59-5.05
   Blum (1941) reported osmotic pressures in the leaves of several mangrove
 species from Java (Table 10). Avipennia had the  highest osmotic pressure,
 whereas Rhizophora, Bruguiera,  'and  Sonneratia, genera  which  possess
 mechanisms for salt exclusions and/or dilution, had relatively low osmotic
 pressures.
   Bole and Bharucha (1954) reported data on osmotic relationships in leaves
 of A. alba (Table 11) and concluded that higher rates of transpiration brought
 about higher  accumulation  of osmotically  active substances  in the older
 leaves. The osmotic pressure did not vary directly with the water content, but
 older leaves always had higher water contents and higher osmotic pressures
 than younger leaves.
   Chapman  (1968)  stressed  that  research on  saline  vegetation must
 emphasize the roles of different ions upon plant metabolism. He stated that
 the interrelations of sodium and potassium are particularly important because
 the amount of potassium absorbed is influenced greatly by the presence of
 s'odium. There is evidence that temperature and light affect the responses of
 halophytes to salinity (Tsopa 1939), but tolerance of plants depends mainly
 upon the type of soil salinity (Cl~, 804", etc.), the species or variety of plant,
 and the stage of plant development (Chapman 1966).
                                  97

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                           GERALD E. WALSH
 Table 10. Osmotic pressures in the leaves and soil of mangroves from Java
 (Blum 1941).


         Species                        Osmotic Pressure, Atmos.
Leaf
A. officinalis, High tide 45
A. officinalis, Low tide 40
Sonneratia acida, High tide 27
Sonneratia acida, Freshwater 20
Rhizophora conjugata, Seawater 31
Bruguiera gymnorhiza, Freshwater 25
Soil
23
18,
6
0.3
23
0.3
Diff.
22
22
21
20
8
25
 Table 11. Osmotic relationships in young and old leaves of A, alba (Bole and
 Bharucha 1954).

                                         Leaf
                                 Young	Old

 Osmotic pressure, atmos.          38.8-47.7     51.5-57.4
 Water content, percent            69.5-72.9     SI.5-62.1
 Total carbon, percent             37.1-40.8     37.9-42.2
 Total nitrogen, percent             1.1-  1.4       1.0- 1.6
 Water Ioss/m2/hr, grams           0.56-0.74     0.92-1.00


  Jennings (1968)  demonstrated positive correlations between  the sodium
and water contents and the phosphorus and water contents of halophytes.
Potassium had no appreciable relationship to succulence. Jennings stated that
increased succulence produced by high light intensity, aridity, and sodium
ions was brought  about  by essentially the same mechanism. Jennings also
suggested  three  mechanisms  used  by  halophytes   to  cope  with  toxic
concentrations of ions. The first was export of the  ions from the shoots and
leaves. This could occur in either of two ways: (a)  transportation of ions
through the  phloem  to  the roots ahd extrusion  back to the soil or (b)
extrusion through  specialized glands in the leaves. The former has not been
reported for mangrove, but salt excretion through epidermal glands occurrs in
A. alba (Walter and Steiner  1936),  A.  nitida (Biebl  and Kinzel 1965),
Aegiceras  (Areschog  1902a,  b;  Schmidt  1940a),  and Aegiatilis (Ruhland
1915), Mullan (1931a, b, c) reported salt-excreting glands on the petioles and
upper and lower epidermis of A. alba, A. ilicifolius, and A. corniculatum. The
glands were most  numerous on plants from hypersaline areas. They were
absent from A. ilicifolius from fresh water.
                                  98

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                       ECOLOGY OF HALOPHYTES


  The xylem sap of salt-excreting species  is composed  of approximately
0.2-0.5% sodium chloride.  This  concentration exceeds that of non-secreting
mangrove species by 10 times, and that of ordinary land plants by about 100
times (Scholander et. al. 1962)
    Scholander et. ql. (1962) also reported  salt  excretion by A marina, A.
corniculatum, and Aegiatilis annulata. In Aegitalis, secretions from salt glands
contained between 1.8 and 4.9% sodium chloride,  with highest values during
the day. Diel variation in rate of secretion occurred in Aegiceras, the average
sodium chloride  content of salt  gland secretions being 2.9% during the day
 and  0.9%  at  night. The  sodium  chloride content of  the  xylem  sap of
 Avicennia was very high,  ranging from  4 to 8  mg/ml; one sample of gland
 secretion contained 4.1% sodium chloride. Jennings (1968) reported that the
 secretion process selects sodium over potassium, the Na/K ratio being 13 in
 the exudate, but only 3 in  the leaves of Aegialitis.  Atkinson et. al. (1967)
 reported  that  in  Aegiatilis,  input  of chloride  to a mature  leaf  was
 approximately  100 u-equiv./day and this was balanced by secretion, mainly
 of sodium chloride, from the  salt glands.  Secretions from the salt glands
 contained 450 u-equiv/ml of  chloride, 355 u-equiv/ml of sodium, and 27
 u-equiv/ml   of potassium.  Rate   of   secretion   varied   between   93
 p-equiv/cm^/sec during the day and 3 p-equiv/cm^/sec in darkness. Atkinson
 et. al. suggested that because the water potential of the secretion is similar to
 that of  the  leaf,  the secretory process involves active transport of salt
 and movement of water by local osmosis. Atkinson also presented light and
 electron microscope studies of the salt glands.
   Rains and  Epstein (1967)  studied preferential absorption of potassium by
 leaves of A. marina in the presence of high concentrations of sodium chloride.
 They 'demonstrated that  A.  marina  could (1)  absorb and concentrate
 potassium within its tissues in excess of the concentration in the substratum
 and  (2)  preferentially  select   potassium  when  in  the  presence of  high
 concentrations  of  sodium,  a  closely-related  ion.  The ability  to select
 potassium over sodium is  an extremely important adaptive character in the
 marine environment.
    Another significant adaptation is  the ability to tolerate, without injury,
 high  internal  concentrations   of  salt.  Avicennia  marina,  unlike other
 mangroves such as Rhizophora,  Laguncularia, and  Sonneratia, absorbs salt in
 substantial amounts. The concentrations of  ions in leaves examined by Rains
 and Epstein (1967) were 30 mM potassium, 210  mM sodium, and 245 mM
 chloride.  The authors concluded that the effect  of preferential absorption of
 potassium was not to exclude sodium, but  rather  to  raise the concentration
 ratio  of potassium  to  sodium from the  value in seawater (1/40) to  1/7
 within  the  tissue. The tissue did  contain  a high concentration of sodium
 chloride (1.8 mM/g dry weight), but excretion by salt glands prevented higher
 and possibly deleterious concentrations from developing.
   Genkel' (1962)  suggested that  viviparous species of mangroves utilize
 seedlings for exclusion of salt. He found that the  chloride content of seedlings
                                   99

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                          GERALD E. WALSH

increased in proportion to size and were  adapted to high salt content in the
soil before dropping from the tree. This was shown to be true for R. mangle
by Lotschert (1968). Excess chloride in  soils delayed loss of seedlings from
the tree and GenkeF  concluded that vivipary is an adaptation to the  salt
regime in tidal areas.
   The second  mechanism  suggested  by  Jennings (1968) was limitation of
transfer  of ions to the shoot by some mechanism located in the roots.
Scholander et.  al (1966) showed that R.  mucronata, Laguncularia racemosa,
and S. alba are efficient in salt exclusion. Atkinson et. al (1967) showed the
 same  for  R.  mucronata.  Scholander  et.  al.  (1966)  stated  that  the
 desalinization process in the root system produces a sap of fairly constant
 concentration that is independent of rate of transpiration. Salt glands, when
 present, eliminate salts left behind by transpiration.
   Concentration of the soil solution, rainfall, tide, humidity, temperature,
transpiration,  nature  of the organisms,  leaf age, water content,  nitrogen
content,  and  carbon  content have  effects  upon osmotic relationships of
mangroves  (Blatter 1909; Cooper and Pasha  1935; Navalkar 1940, 1942,
1948;  Bharucha  and Navalkar  1942; Bole and  Bharucha  1954).  Gessner
(1967), however, found that water which passed from the stems to the leaves
of R. mangle was nearly salt-free.
   Scholander et.  al. (1965)  reported that halophytes such as Rhizophora,
Osbornia, Salicornia,  and Boris  have strong negative sap pressures, ranging
from -35 to  -60 atmospheres, whereas the osmotic potential of seawater is
approximately   -25  atmospheres. The   activity  of water  in  the marine
environment  is always  higher than that of water in the roots, xylem sap, and
leaves. In R. mangle, Laguncularia racemosa, and C. erectus, the xylem sap
content  of sodium chloride was only  1.2-1.5 mg/ml. At night, when
transpiration  by Rhizophora and Osbornia was nil, sap tension was  the same
as the osmotic potential of seawater but  the solute pressure in the leaves was
10 to   20  atmospheres   higher  than  seawater  (Scholander  1971).  In
Rhizophora,  Laguncularia,  and Conocarpus  only  about  50-70% of the
freezing  point depression in leaf cells  was produced by sodium and chloride
ions, most of the remaining solutes being organic (Scholander et. al 1966).
Benecke  and Arnold (1931) demonstrated that osmotic  pressure of S. alba
was lower under  glycophytic than  halophytic conditions.  These  pressure
differences give mangrove such as Rhizophora, Laguncularia,  Sonneratia, and
Conocarpus, which do  not possess salt-excreting organs, the ability to obtain
fresh water osmotically from seawater by transpiration and by diffusion at
the  roots.  Scholander (1968)   concluded  that Rhizophora,  Sonneratia,
Avicennia,   Osbornia,   Bruguiera,   Ceriops,  Exocoecaria,  Acrostichum,
Aegiceras,  and  Aegialitis  separate fresh water  from  the  sea by simple
nonmetabolic ultrafiltration of the seawater combined with ion transport.
The negative xylem pressure  is produced by high salt concentration in  the
cells, resulting in a solute pressure which exceeds that of seawater.
                                  100

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                       ECOLOGY OF HALOPHYTES


   The third mechanism proposed by Jennings (1968) for coping with toxic
concentrations of  ions  was  production of  increased succulence. High
concentrations of ions in the leaf may be prevented because of the dilution
effect brought about by increased water  content of cells.  Bowman (1921)
reported greater  succulence in R. mangle from seawater  than  from fresh
water,  a phenomenon  which  gives  support  to  the  third  mechanism.
Reinders-Gouwentak  (1953)  found  that succulent leaves were common in
Sonneratia and were  due to  the presence of a distinct hypodermal aqueous
tissue layer. In leaves that were immersed hi tidal water, the hypodermal layer
was three to five  times as thick as leaves at higher levels of the same tree. The
same  author  stated that the hypodermal layer  was  almost absent in trees
grown in fresh water in botanical gardens. Reinders-Gouwentak believed that
succulence in Sonneratia was related to the  chloride content of the water.
   Jennings (1968) related succulence in halophytes to sodium metabolism.
He postulated that an outwardly-directed sodium pump exists in halophytes
and that this  pump is related to cation-activated ATPase in the cell wall. This
same  pump   would   drive  potassium  ions into  the  cell  against  an
electrochemical potential gradient. Jennings admitted that  the evidence for
such a  pump  must be  viewed  with caution, but stated that there are no
reasonable  arguments against its  existence and  suggested a relationship to
ATPases. In relation to succulence, Jennings proposed that sodium-activated
ATPases might be  involved  in the  synthesis of new wall material or in
increasing cell wall extensibility. In a similar way, succulence is also induced
by  increased   amount   of   light   which   increases  the   rate   of
photo-phosphorylation  and  production  of  ATP.  Also,   aridity  causes
succulence  because  increased  rate of  transpiration causes the ration of
potassium to  sodium  in  the  shoot to change  in  favor of sodium.  The
concentration  of sodium  in the  xylem sap  reaches  such a level  that the
sodium-activated ATPases  in the plasmalemma bring about synthesis of ATP.
It should be stated that these proposals of Jennings are highly theoretical and
have yet to be tested.
   Kylin and  Gee '(1970) presented  evidence that the leaves  of A.  nitida
possess  ATPases that are dependent upon the ratio of sodium to  potassium.
Enzyme activities were  directly  related  to  ionic strength of  the growth
medium. Unlike animal systems in which  synergistic effects of sodium and
potassium yield a peak at only one ratio, A. nitida yielded three peaks. At 50
mM total concentration (NaCl + KC1), activity peaks occurred at Na:K ratios
of 2:8,  5:5,  and between 8:2  and  9:1.  These  results were interpreted as
indicating that either several enzymes functioned in the membrane system, or
else structural  changes allowed more  than one ion to activate a transport site.
Whatever the  mechanism, the report of Kylin and Gee gives credence  to the
hypothesis  of Jennings  that  sodium-activated  ATPases  are  present in
halophytes. Their role in succulence has yet to be established.
   Salt exclusion, salt excretion,  and succulence are not the only physiological
mechanisms whereby mangroves adapt to their saline environment. Metabolic
                                  101

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                           GERALD E.WALSH


processes  of photosynthesis, growth, and respiration  are also important in
adaptation of mangrove, but little work has been reported. Chapman (1966)
pointed out  that little is known  about  respiration and photosynthesis by
mature mangroves, but speculated that high concentration of salt in the soil
would cause slower rate of water  uptake,  slower  rate of upward  water
movement in the  trunk,  and slower transpirational loss as  compared with
many other  tropical trees. He suggested that the net result would contribute
toward a slow growth rate as compared with trees from mesophytic habitats.
     Bharucha  and Shirke (1947) stated that the respiratory activity of a
plant is influenced by food reserves. In the case of A. officinahs, the intensity
of respiration of seedlings increased from a minimal to a high rate and then
gradually  declined. As the seedlings  grew, there  was an increase in  water
content  and fresh weight, but dry weight  decreased, indicating that the
growing plant utilized reserve material  for growth. Also, the authors showed
that  in germinating  seeds, respiration rate increased  during the  period of
absorption of water and gain in fresh weight.
   Bharucha and  Shirke  also  studied the  respiration  of  seedlings  of A.
officinalis from germination to the eighth day of growth  in both air and
under seawater. Their data, some of which are given in Table 12, showed that
the rate of respiration increased with  growth under both aerial and submerged
conditions.  However, respiration rate was much slower under water and this
was ascribed to the limiting influence of oxygen in water. Chapman (1962b)
reported minimal respiration rates in "medium sized" seedlings of R. mangle.
He also reported that the cotyledonary body of R. mangle and the fruit wall
of A. marina (both structures function in transport of food  from parent to
embryo)  had very high respiration rates. On  a dry weight basis, seedlings of
Avicennia had a higher respiration rate than  those of Rhizophora. Chapman
suggested that this was related to differential development of aerenchyma.

Table 12. Respiration rates of A. officinalis in air and submerged in seawater
(after Bharucha and Shirke 1947).

                                       Respiratory Index

 Stage of Growth               Air                      Submerged
 1-Day seedlings                  2.79                       1.21
 2-Day seedlings                  2.85                       1.48
 3-Day seedlings                  2.94                       1.45
 4-Day seedlings                  3.09                       1.46
 5-Day seedlings                  3.34                       1.50
 6-Day seedlings                  3.67                       1.51
 7-Day seedlings                  3.84                       1.62
 8-Day seedlings                  3.92                       1.66
                                   102

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                        ECOLOGY OF HALOPHYTES


  Bharucha and Shirke (1947) also reported increase in the respiration rate
of seedlings when  the  fruit wall was removed. Chapman (1962a, b; 1966b)
reported that the fruit wall caused a marked inhibition of respiration in A.
marina, A.  nitida, R. mangle, R. apiculata, and B. gymnorhiza and speculated
that mangroves are capable of anaerobiosis, although the amount of energy
released under anaerobic conditions was inadequate for growth. Anaerobiosis
is apparently important during the periods when seedlings float in seawater
and no growth occurs. Brown et al. (1969) demonstrated anaerobic respiration
in A. marina, B. gymnorhiza, and R. apiculata.
  Lotschert (1968) showed that chloride accumulates in the seedlings  of R.
mangle before they fall from the tree. Conversely, Chapman (1944c) reported
that a salt exclusion mechanism operated in A. nitida.  He stated that  when
the seedlings fell from  the tree, there was an immediate uptake of salt and a
sudden reduction in respiration rate. Successful colonization of Avicennia was
related, therefore, to the capacity of seedlings to respond to sudden changes
in  internal  salt content,  whereas this was not necessary  for Rhixophora
seedlings.
  Arnold (1955) showed  that the transpiration rates of mangroves are very
much lower than those of mesophytes. Because of this, Chapman (1962a)
suggested that  mangroves  are lacking in dry tropical areas, such as the west
coast of South America, because low humidity reduces respiration rate to the
point where seedlings cannot grow.
  Lewis and Naidoo (1970) reported that the apparent transpiration rate of
A. marina in South Africa rose in the morning as light intensity increased and
humidity decreased. Maximum transpiration occurred at mid-morning, after
which the rate  progressively decreased, regardless of atmospheric conditions.
Tidal  inundation  after  the  mid-morning maximum   caused  increase  in
transpiration rate  and  a  second  maximum. The  authors speculated that
decrease in rate at mid-morning  was caused by incipient  wilting following
excessive transpiration.
Chemical Composition
   The chemical composition  of mangrove trees has been studied by Sokoloff
et.  al. (1950), Sidhu (1963), Morton (1965), and Golley (1969),  but little is
known in relation to environmental factors and age of the trees. Sidhu (1963)
stated  that concentrations of ash  and sodium  in  leaves  of  species of
Rhizophora, Avicennia, zndAegiceras which grew near the sea were lower than
from species which inland, but gave data only for Avicennia (Table 13).
Table 13. Ash and sodium contents of three  species of Avicennia (Sidhu 1963).
Species
Sea A. officinalis
A. alba
A. alba
Inland A. marina
Ash, percent
14.8
15.8
19.4
30.4
Sodium, percent
2.3
3.3
3.7
5.0
                                   103

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                           GERALD E. WALSH


  Sidhu (1963) also divided species into  three catagories based on sodium
content of the leaf:
  A. Species with more than 5% sodium: A. marina, Salvadora persica.
  B.  Species  with 3-5% sodium:  A. alba,  Lumnitizera racemosa,  Ceriops
candolleana, and A. ilicifolius.
  C. Species with  1-3% sodium: A. officinalis, R. mucronata, S. Apetala, B.
Caryophylloides,  A.  Corniculatum,  Eleopodendron  inerme,  Exocoecaria
agallocha, D. uliginosa.
   Atkinson et. al (1967)  reported concentrations of some ions in leaves of
 various  ages  in R. mucronata  and Aegiatilis  annulata R.Br. Measurements
 were  made   on  successive  leaf pairs  of shoots  (Tables   14   and 15).
 Concentrations of sodium  and  chloride  in  the leaves of R.  mucronata
 increased with age, but in relation to amount of leaf water, chloride content
 was constant, sodium concentration increased, and potassium  concentration
 deceased.
    In contrast, there was a decrease in concentrations of sodium, potassium,
 and chloride with age  of A. annulata. Atkinson  et. al. ascribed this  to
 excretion of .salt by epidermal glands, an adaptation lacking in Rhizophora.

Table 14.  Concentrations of Na+,  id", and Cl" in the leaves of R.

mucronata (after Atkinson et al.  1967).  Leaves in  Sample 1 were

youngest in the sequence of increasing  age.
Sample Number

Dry weight (g)
Water (% fresh weight)
Na+ ((i-equiv/leaf)
Na+ (u-equiv/ml H20)
K+ (ji-equiv/leaf)
K+ (u-equiv/ml HO)
Cl" (u-equiv/leaf)
Cl~ (vi-equiv/-ml H20)
1
0.16
56
61
305
25
124
74
370
2
0.50
65
290
313
81
88
520
562
3
0.50
66
420
431
57
59
510
522
4
0.61
65
480
435
48
44
585
530
5
0.57
67
520
461
69
61
580
515
6
0.63
69
645
461
45
32
730
522
                                   104

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                         ECOLOGY OF HALOPHYTES
Table 15.  Concentrations of Na.,  K , Mg  ,  and Cl  in the leaves of

A. aimulata (after Atkinson et al.  1967).  Leaves in Sample 1 were

youngest in the sequence of increasing  age.
Sample Number

Dry weight (g)
Water (% fresh weight)
Na+ (u-equiv/leaf)
Na+ (u-equiv/ml HjO)
K+ (u-equiv/leaf)
K+ (ji-equiv/ml HjO)
Mg"1"1" (u-equiv/leaf)
Kg** (u-equiv/ml H20)
Cl (u-equiv/leaf)
Cl" (u-equiv/ml HZO)
1
0.32
72
420
518
155
191
108
133
415
512
2
0.45
60
325
480
106
157
330
488
290
429
3
0.45
60
275
411
87
130
440
659
270
405
4
0.50
59
280
388
93
129
590
819
361
361
5
0.44
60
235
356
70
106
530
802
386
386
    There is a paucity of literature data concerning elemental composition of
  mangroves. Most studies of which I am aware have not been published. Values
  given in Tables 16 and 17  were personal communications from F.B. Golley
  (Univeristy of Georgia, Athens), S. S. Sidhu (University of Western Ontario,
  London, Canada), and T.  F.  Hollister  (U.  S. Environmental  Protection
  Agency, Gulf Breeze,  Florida).  The  samples were  collected in Panama
  (Golley), India (Sidhu), and Florida (Hollister).
    There are wide differences in  concentrations of each element between
  species. For example, Avicennia species contain relatively high concentrations
  of sodium and  potassium  in all organs. Also, the  roots of  Laguncularia
  racemosa  contained   very  high  concentrations  of  all  elements, except
  magnesium.
    Sidhu (personal communication) found no correlation between the mineral
  status of soils  and the elemental content of 16 mangrove species. It is clear
  that  research which relates species and habitat to elemental composition is
  needed.
                                   105

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Table 16.  Concentrations of various elements in mangrove leaves (personal communications:   + Siddhu,




* Golley, # Hollister).
Species
Acanthus iltcifolius (+)
Aegiceras corniculatum (+)
Avicennia alba (+)
Avicennia marina (+)
Avicennia nitida (#)
Overstory
Understory
Avicennia officinalis (#)
Bruguiera caryophylloides (+)
Ceriops candolleana (+)
Conocarpus erectus (#)
Overstory
Understory
Derris ulginosa (+)
Exocaria agallocha (+)
Laguncularia racemosa (#)
Overstory
Understory
Lumnitizera racemosa
India (+)
Florida (#)
Rhizophora brevistyla (*)
Overstory
Understory
Rhizophora mangle
Hollister
Morton (1965)
Rhizophora mucronata (+)
Sonneratia apetala (+)
Concentration,
Ca
7800
6800
10400
11200

12430
6680
11600
24800
20400

13350
7600
17600
14200

6510
7600

24200
9100

12200
7800

10760
13500
19800
11200
Co
.
-
-
.

-
-
-
-
-

22
24
-
_

12
32

-
-

46
56

9
52
-
-
Fe
_
-
-
-

147
300
-
-
-

305
251
.
-

125
149

-
169

82
672

132
152
-
-
K
8200
8400
12100
15200

21000
29400
19100
6100
5300

4100
21600
25800
12900

17700
25000

22400
19900

8400
8500

16400
6500
21600
3100
Mg
8600
10200
10000
13500

3600
2320
12200
10000
11700

-
-
12400
14700

4440
4740

15600
3940

4700
5000

4320
8000
14500
10500
ppm dry weight
Mn
_
-
-
-

-
53
-
-
-

50
88
-
-

74
116

-
-

387
125

92
30
-
-
Na
30000
23100
35000
50600

4590
6500
23300
27700
36600

5500
4110
12300
4800

10520
8620

43100
9370

9800
8300

11130
-
22800
14900
P
3200
2500
2300
2300

-
-
4000
2400
2500

-
-
2600
4100

-
-

2500
-

9000
8000

-
1400
3300
3100
Si
30000"
4600
4000
5000

-
-
20800
17200
11000

-
-
18000
18800

.
-

5800
-

-
-

.
-
6000
4800
Zn
_
-
-
-

154
24
-
-
-

160
142
-
-

92
84

-
170

11
15

146
43
-
-

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Table 17.  Concentrations of various elements in organs, other than leaves,  of mangroves (personal




communications:  * Golley, # Hollister).
Species
Concentration, ppm dry weight

Avicennia nitida (#)
Overstory steins
Under story stems
Roots
Conocarpus erectus (#)
Overstory stems
Understory stems
Roots
Laguncularia racemosa (#)
Overstory stems
Understory stems
Fruit .
Roots of seedlings
Lumnitizera racemosa (#)
Stems
Rhizophora brevistyla (*)
Overstory stems
Understory stems
Overstory fruits
Understory fruits
Rhizophora mangle (#)
Overstory stems
Fruit (2-10 cm long)
Fruit (11-20 cm long)
Roots of seedlings
Prop roots
Rhizophora mucronata (#)
Fruit
Ca

7430
7100
3930

3930
5600
21200

3100
6850
8590
19390

11000

12900
5700
5900
6900

8936
2350
1260
600
4850

932
Co

-
16
40

15
36
25

18
16
.
54

25

52
83
81
56

-
58
-
36
-

20
Cu

-
10
13

13
15
40

9
-
15
-

10

7
8
6
4

-
12
15
12
11

-
Fe

282
580
465

329
648
979

49
516
332
1000

99

36
1000
82
45

252
155
113
422
253

346
K

14700
27800
29200

4100
27300
-

10000
9200
35000
81000

13200

3000
3900
10100
7100

2200
4000
2990
13800
13800

13860
MB Mn

3080
3650
3700

3400
2400
7160

1880
1220
2920
1990

3405

1000
2900
2900
3400

2820
3050
2460
1070
2540

2620
Na

-
48
34

47
83
75

92
46
123
-

-

168
255
191
164

74
121
69
71
-

46
Zn

3730
9340
9000

412
1260
3560

4590
4120
4120
14100

618

5500
9500
9600
9700

8370
8890
10250
12840
10660

8620


227
28
121

180
112
162

89
38
79
514

25

11
12
11
7

120
2
152
12
74

6

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                          GERALD E. WALSH


  Sokoloff et. al (1950) and Morton (1965) gave data from chemical analyses
of leaves of R.  mangle from  Florida (Table 18.) Their values for vitamin
content vary greatly but cannot be compared because methods of treatment
of leaves and assay procedures  were not given. Sokoloff et. al. suggested that
leaf meal could replace alfalfa  in chicken rations and Morton recommended
its use as cattle feed.
  Golley (1969) compared the caloric content  of R. brevistyla in Panama
with trees from  tropical moist, premontane,  and gallery forests. The  energy
values of the mangrove (Table  19) were generally greater than those of the
other tropical trees.
  Tannin is an important constituent of all parts of mangrove trees. Bowman
(1921) showed that tannin is usually stored in solid masses in cells, but is
frequently in solution in cytoplasm. He considered the tannin cells and water
storage tissue of R. mangle to constitute a true hypodermis.
  The  function  of tannin in mangrove is unknown. Tannins have a strong
protein-binding capacity and, therefore, are  able to inhibit enzymes. In the
living plant it is possible that tannins aid in resistance to fungi, as fungi have
been shown to cccur in large numbers in mangals (Swart 1958; Kohlmeyer
1965, 1966, 1968a, b, 1969a, b; Kohlmeyer  and Kohlmeyer 1971; Ahern et
al.  1968; Rai et al.  1969, and Ulken  1970).  Lee  and Baker (1972a,  b)
identified  52 species  of  soil fungi from a Hawaiian swamp. Swain (1965)
suggested that the presence of tannin causes resistance of dead organic matter
to attack by fungi and other decomposers. Crossland (1903) stated that the
Arabs of Zanzibar used mangrove wood for houses and furniture because it
was not attacked by  termites,  and suggested that the high tannin content
repelled the termites. The ability of tannins to inhibit  enzymes  probably
affects the rate  of  decay of plant detritus and, therefore,  is important in
relationships  within  the  detritus  based   food  web.  In  most  plants,
hydrolyzable  tannins are  usually present  in  leaves  and  fruit, whereas
condensed tannins occur  in the bark or heartwood. This implies that leaves
and fruit of mangroves are less persistant as particulate detritus than  woody
parts.
  Most research on  mangrove  tannin has been done on samples of bark.
Drabble  (1908)  illustrated  distribution  of  tannin  in R.  mangle  and
Laguncularia  racemosa. Trimble (1892) reported  the empirical formula  a
^25^25^11 f°r tannin fr°m tne bark of R. ^mangle.  Baillaud (1912) found
that 30% of the  dry weight of bark from Rhizophora andBruguiera in Africa
was comprised of tannin.  Dry' bark of Xylocarpus  contained 26% tannin.
Dried bark of R. mucronata from Africa contained between 41.3 and 42.8%
tannin  (Anon. 1904). Brown  and Fisher  (1918)  pointed  out that  tannin
content varied greatly between species from the Indo-West-Pacific region. In
Malaya, Buckley  (1929) reported the  following percentages of tannin in fresh
bark:  R.  Mucronata 20.7-30.8,  R.  congugata 7.9-17.6,  B.  gymnorhiza
14.5-25.6, B.  eriopetala  17.3-23.0, B. caryophylloides  15.8, B.  parviflora
4.7-7.6, C.  candolleana 19.0-30.8, Carapa obovata 29.8-41.6. The fruits and
                                 108

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 Table 18. Chemical analysis of dry leaves of R. mangle from Florida (after
 Sokoloff et al. 1950 and Morton 1965).
Total protein, percent
Crude ;fiber, percent
Crude fat, percent
Calcium, percent
Sulphur, percent
Ash, percent
Iodine, percent
Manganese, mg/kg
Thiamin, mg/kg
Riboflavin, mg/kg
Folic acid, mg/kg
Niacin, mg/kg
Pantothenic acid, mg/kg
12.1-14.3
13.9
2.9
1.6
0.6
6.7
0.8
0.3
1.56-2.03
4.5,5.6
0.60-0.67
20.3-28.0
4.0-4.5
7.5
13.9
3.6
1.4
-
10.1
0.5
0.03
130
190
320
2,400
53
Table 19. Mean caloric values and standard errors of R. brevistyla from Panama
(Golley 1969).

                                  Energy, g cal/g dry weight
Compartment                      Mean                      SE
     Canopy leaves                4182                      22
   .. Canopy stems                4337                      11
     Understory leaves             4299:                     132
     Understory stems             42'04                      12
     Canopy fruit                  4298                      29
     Understory fruit               4360                      20
     Epiphytes                    4585                      11
     Litter                        4141                      13
     R)0ts                        4034                      48
                                109

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                           GERALD E. WALSH

leaves contained least tannin. Buckley concluded that R. mucronata was the
best source  of tannin because the yield of bark per tree was good. Carapa
obovata contained the highest concentration of tannin, but its bark was thin
and the yield per tree was small. Drabble and Nierenstein (1907) reported
that older R. mangle trees contained more tannin than young trees.
  Although mangroves are not used extensively as a source of dyes, when the
bark of R. mangle is treated with copper or iron salt, brown, olive, rust, and
slate-colored dyes are obtained (Fanshaws 1950, Morton 1965). According to
Morton, a boiled concentrate of the bark may be used for staining wood in
floors and furniture, dyes for textiles may be obtained from the roots, and a
red dye from the shoots may be used for coloring leather.
Energy Relationships
  Except for a few  reports on yield  of wood (see "silviculture" section of
this report), little is known about production of  organic matter in mangrove
swamps. The first detailed study of photosynthesis, respiration, biomass, and
export of organic matter was made by Golley et al. (1962) in a Puerto Rican
R. mangle forest in May.  Gross photosynthesis was 8.23 g C/m^/day; total
respiration was 9.16 g C/m^/day. The greatest rates of photosynthesis (7.33 g
C/m^/dayO  and  respiration (4.31  g C/m^/day) occurred in the upper canopy
of leaves. Shaded leaves accounted for gross photo synthesis of only 0.40 g
C/m^/day and respiration of 0.48 g C/m^/day. Seedling photosynthesis was
0.12 g C/m^/day and respiration was 0.36 g C/m^/day. At the soil surface,
respiration by prop roots was 2.03 g C/m^/day. At and below the  soil surface
respiration was 1.64 g C/m^/day. Gross photosynthesis and respiration above
ground was  related to dry leaf biomass (1017 gm/m^), leaf area (4.4 m^/m^),
and  chlorophyll  a content  of the  leaves  (1.19 g/m^). The  trees  were
approximately 8  m  tall, and the  factors  measured attained their greatest
values at between 4 and 6 m height. Unfortunately, the subterranean algal
flora was not studied. This might have been important as Marathe (1965)
showed 12 algal  species in the soil of mangals near Bombay. Another source
of primary  production was algae  on the roots  and mud. Dawson (1954)
described many attached algal species from roots and mud in Vietnam. Golley
et al. stated the R. mangle  community was more fertile  than most  marine and
terrestrial communities. It  was not, however, as efficient as the montane rain
forest or coral reefs of Puerto  Rico in conversion of sunlight into organic
matter under similar light regimes.
  Miller  (1972),  using  a  model,  calculated  gross   photosynthesis,  net
photosynthesis,  and  respiration of R.  mangle  in  Florida  (Table 8).  He
contrasted these data with those of Golley et al. (1962). Using Miller's model,
the estimates of Golley et al. corresponded to 9.4 g organic  matter/m^/day
for  gross photosynthesis, 3.4g organic matter/m^/day for net photosynthesis,
and 5.9 g organic matter/m^/day for  respiration. Miller ascribed  differences
between his  data and Golley's to different leaf areas.
  Miller's model  predicted that  maximum photosynthesis occurrs at  a leaf
area index of approximately 2.5 if no acclimation to shade within  the canopy
                                 110

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Table 8.  Gross primary production  (P ), net primary production  (P  ),  and



respiration  (R) of R. mangle leaves in Florida  (after Miller  1972).  Data




are expressed as grams organic matter/m^/day.
Sunny
Height
1.75-2
1.50-1
1.25-1
1.00-1
0.75-1
0.50-0
0.25-0
0.00-0
Total
1.75-2
1.50-1
1.25-1
1.00-1
0.75-1
0.50-0
0.25-0
0.00-0
(m)
.00
.75
.50
.25
.00
.75
.50
.25
.00
.75
.50
.25
.00
.75
.50
.25
P
0.
0.
2.
30
3.
2.
0.
0.
12
0.
0.
2.
2.
2.
1.
0.
0.
g
08
31
17
.8
39
16
97
67
.83
09
34
14
43
15
31
57
39
P
n
0.03
0.12
0.93
1.48
1.64
0.87
0.31
0.17
5.55
0.05
0.21
1.32
1.33
0.91
0.36
0.10
0.03
June
R
0.05
0.
1.
1.
1.
1.
0.
0.
7.
0.
0.
0.
1.
1.
0.
0.
0.
19
24
61
75
33
66
51
34
January
03
13
82
10
24
95
47
37
Cloudy
P
_£
0.07
0.29
2.02
2.59
2.48
1.61
0.73
0.51
10.30
0.09
0.34
2.08
2.52
2.41
1.55
0.70
0.49
0
0
0
1
0
0
0
0
3
0
0
1
1
1
0
0
0
^n
.03
.12
.92
.13
.84
.35
.10
.02
.51
.05
.21
.28
.45
.19
.62
.23
.13
0
0
1
1
1
1
0
0
6
0
0
0
1
1
0
0
0
R
.04
.17
.09
.46
.65
.26
.63
.49
.79
.03
.12
.80
.07
.21
.93
.46
.36
Total
                    9.42    4.31
                                   5.10
                                              10.18
                                                       5.16    4.98
                                   111

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                           GERALD E. WALSH


 is present and predicted that production decreased with increase in leaf area
 index and leaf width. Also, the environmental variables with the greatest
 influence  on  primary  production were  air  temperature   and humidity.
 Increase in solar radiation up to a point, increased primary production as did
 increasing  amounts  of   diffuse  energy.  Infrared   variation   decreased
 production.
   Gill and Tomlinson (1971) reviewed  phenological phenomena associated
 with growth of R. mangle in Florida. Although the general progression of
 development appeared to be mediated endogenously, climatic factors were a
 strong governing influence. Environmental control of growth was through
 effects on development of the apical bud. Vegetative branches, inflorescences,
 and axillary  buds are  developed  within  the apical bud of R.  mangle.  The
 rates of leaf expansion and fall were highest in the summer when temperature
 and  radiation  were maximal.  Throughout  the year, leaf  fall was closely
 correlated with leaf expansion so  there was a fairly constant number of leaves
 on a shoot.  Flower buds appeared in greatest abundance between May and
 July,  open  flowers between  June  and September, and fruit  between
 September and March. The hypocotyl appeared in March and greatest fall of
 propagules was between June and October.
   In  some swamps, phytoplankton in the water contribute appreciably to
synthesis of organic matter. This was the subject of extensive studies by
Teixeira  and  Kutner (1962), Teixeira  et al. (1965, 1967, 1969), Watanable
and Kutner (1965), Tundusi and Tundusi (1968), and Tundusi and Teixeira
(1964, 1968) in Brazil. Tundusi (1969) summarized the work in a Brazilian
mangal. Gross primary production of surface water ranged between 2.10 and
91.3 mg C/m^/hr. Respiration values were between 1.0 and 21.3 mg C/m^/hr.
Nannophytoplankton (size  range 5-65  u) accounted for 61.8% of the total
carbon  uptake.  Diatoms  were  the  numerically  dominant  unicells, a
phenomenon  also reported by Mattox (1949) in Puerto Rico, Walsh (1967) in
Hawaii, and Bacon (1971) in Trinidad.
   An important finding in  the work of  Golley  et al. (1962) was that tidal
export of particulate matter was  1.1 g C/m^/day. Heald and Odum (1971)
reported  production, consumption,  and  export  of organic detritus  in a R.
mangle stand in southern Florida. Heald and Odum pointed out that many
commercially  important  finfish  and  shellfish  live  in  the  mangrove
environment and that vascular plant detritus is the primary source of food for
many estuarine organisms.
   Heald (1971) estimated that production  of mangrove debris averaged 2.4 g
C/m^/day,  oven dry weight. This was  equivalent to almost nine tons/ha/yr.
Annually, plants other  than mangrove accounted for less than  15% of  the
total organic debris. Rate of degredation  of mangrove detritus was related to
conditions of the environment. Breakdown was most rapid in brackish water
The amphipods Melita  nitida- Smith and Corophium lacustre and  the crab
Rithropanopeus  harrisii Gould  were important  consumers  of detritus in
brackish water.
                                  112

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                        ECOLOGY OF HALOPHYTES


   The actively photosynthesizing leaf of R. mangle was reported by Heald to
 contain 6.1% protein,  1.2% fat, 67.8% carbohydrate, 15.7% crude fiber, and
 9.2% ash. During abscission, protein and carbohydrate contents were 3.1 and
 59.6%,  respectively. After falling  into  brackish water,  the  carbohydrate
 content of leaf detritus .fell to approximately 36%, but protein content rose
 to  approximately 22%. Heald speculated that increase in protein was due to
 growth of bacteria and fungi  on the detritus particles, and stated that the
 food value of detritus,  which was in  the water for  one year, was more
 nutritious than that in  the water for one or two months.
   Odum (1971) studied the use of mangrove detritus as food by many animal
 species. He concluded that vascular plant detritus which originated from R.
 mangle leaves was the main source of food for the aquatic animal community.
 As the detritus decomposed  into  finer particles, it  became  covered  with
 bacteria, fungi, and protozoans. The caloric content rose from 4.742 Kcal/g
 in  ash-free fresh leaves to 5.302 Kcal/g in ash-free remains of leaves which
 were submerged for two months.
   There were at least  four pathways by which mangrove leaves were utilized
 by  heterotrophs:   (1) dissolved  organic  substances  from   the  leaves  *
 microorganisms  •» higher  consumers,  (2) dissolved  organic  substances  *
 sorption on  sediment  and  aged detritus  particles * higher consumers, (3)
 particulate leaf material •» higher consumers, and (4) particulate leaf material
 ** bacteria, fungi, and  protozoans -»higher consumers. Odum believed the last
 pathway to  be the most  important. He speculated  that microorganisms
 convert compunds such as cellulose and lignin into digestible protein utilized
 by invertebrates and fishes.

                           SILVICULTURE

   Mangrove  is one of the most important  sources of timber, fuel, posts,
 poles, railroad ties, and tannin in the tropics. It also has resins which are used
 as  plywood adhesives,  and the bark, leaves, shoots, and roots  contain dyes.
 Chatterjee  (1958)  gave the following uses  for mangrove in India: Heritiera
 (boat building, planking, fuel), Amoora cuculata (wooden  pipes for hookahs
 and wooden  toys), Aegiatilis rotundiflora (extraction of high-grade salt after
 burning), Avicennia (fuel wood for brick burning), Exocoecaria agattocha
 (match  boxes),  Xylocarpus granatum  (pencils), and  Salicornia brachiata
 (source of sodium carbonate).
   Because  of their many uses, silviculture of mangroves has been practiced
 for  many  years in southeastern  Asia. Banerji (1958)  reported that R.
 mucronata andB. gymnorhiza were grown successfully on a plantation of 685
 acres in the Andaman  Islands between  1898 and 1908. Banerji  stated thatB.
gymnorhiza was an excellent source of poles  for transmission lines and that
Rhizophora produced  30 cords of fuel wood  per acre, whereas Bruguiera
 produced  11  cords. The  annual yield of firewood was estimated at 130,000
 tons.
                                  113

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                          GERALD E. WALSH


  In the Andamans, clearfelling and planting of B. gymnorhiza was the best
silviculture method. Because this species grows slowly, a rotation to 100 years
was recommended  for an exploitable breast-height girth of 27 inches. On
some plantations, Bruguiera attains a height of 30-35 feet (9.2-11.7 m) and a
girth of 9-12 inches (23-30 cm) in 15 years. The  tree provides one  of the
strongest timbers in India, and has a durability life of 10 years after treatment
with creosote.
  In Thailand, Walker  (1937, 1939)  reported  that R. conjugata and  R.
mucronata were the mangrove of  choice for poles and firewood and have
been used on a large scale for planting. There was an abundance of seedlings
at all  times  of the  year. Seedlings of R. mucronata were less susceptible to
attack by crabs, and their long radicle was an advantage in competition with
growth  of A. aureum and B. parvifloraa.  Seedlings were  deep-planted at
six-foot (1.8 m) intervals and the maximum felling girth was-eight inches (20
cm).  The  prescribed time  for  planting  was  two   years  after  felling.
Unfortunately, Walker  did  not  give  production figures  for   the Thai
mangroves.  He did point out that B.  gymnorhiza was  used for fuel, S.
griffithii for fishing stakes, and C. candolleana as fuel and tanbark.
  Becking et al. (1922)  divided the mangrove of southeastern Asia into three
classes based upon the diameters of mature trees: Class A, less than 20 cm, A.
corniculatum,, Scyphiphora hydrophyllacease Gaert., Ceriops spp.; Class B,
20-40 cm, A. marinaa, Lumnitzera  racemosa, Bruguiera  spp.; Class C, greater
than 40  cm., A.  officinalis,  S.  alba, Rhizophora spp.,  Bruguiera spp.,
Xylocarpus spp. The authors showed that production of wood per unit area
by trees of larger diameter was greatest. Although Sonneratia was one of the
more productive genera, Backer and van Steenis (1954) stated that in Malaya
its economic usage was small. Small amounts were used for fuel and in boats
and houses. The young berries of Sonneratia  can be consumed by humans and
pectin can be extracted from them.
   According  to Banijbatana (1958), approximately 133,400 ha of mangrove
 forests were  available for silviculture in Thailand. The shelterwood  system
 was judged best, and for young forest with trees of 20 cm girth and under,
 clearing and thinning was recommended. For forests in which the majority of
 trees were 20-50 cm, heavier thinning was recommended with seedling felling
 foncontrol of C. roxburghiana and B. cylindricaca. The Rhizophoras reached
 65-70 cm in girth between the ages of 39 to 43 years and a rotation system of
 40 years was adopted. Yield was calculated at 50-60 cm  per acre.
   Approximate   rates of growth in  girth of several mangrove species in
 Malaya were given  by Durant (1941 (Table 22). The volume of wood per acre
 of mixed Rhizophora forest increased from 1,375 cubic feet  at 10 years to
 5,600 cubic feet  at 50 years. Durant recommended harvesting at 22-23 years
 when the mean annual volume increment was at its maximum of 147.7. The
 volume of wood at 22 years was 3,250 cubic feet per acre.
   Noakes (1955) stated that the total area of mangrove forest in Malaya was
 approximately 760 square  miles.  Of this, 460 square  miles were  under
                                  114

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                       ECOLOGY OF HALOPHYTES
Table 22.  Growth in girth of several mangrove species in Malaya (Durant 1941)

Age
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80

£i
2
6
9
12
16
19
21
24
27
29
32
35
37
39
41
42

!k
5
10
13
16
18
20
22
24
26
28
30
32
34
36



B.
3
7
9
12
15
18
20
23
25
28
30
32
35
37
39
41
Girtl
B_._
halnesii
2
5
8
11
14
17
19
21
24
27
30
33
36
40
45

i , inches
B.
2
5
8
11
13
16
18
20
23
25
27
29





!L.
1
5
7
9
11
13
15
17
18
20
22
24
26
27
29
30

C.
2
5
a
10
13
15
18
20
22
24






sustained yield management. Rhizophora  mucronata and R. conjugata were
the most important Malayan species, covering two-thirds or more of the total
area. Fuel was the main product of the mangrove forest, but poles for houses
and fish traps were also important.
   According to Noakes, fruiting of Rhizophora occurred  at the age of four
years, was annual and highly prolific. Full stocking by water-borne seedlings
occurred rapidly after clearcutting.  As in Thailand, Rhizophora grew slowly.
The  annual  growth increment of boles was slightly greater than one inch in
the early stages of growth to just over one-half inch above 12 inches diameter.
The  trees grew to a maximum height of 70-120 feet. Normal felling size was
50-60 feet in height and  1.5-2.5 feet in girth. Felling size was achieved in
20-30 years. The mean annual volume increment of mixed Rhizophora forest
culminated at approximately 25 years, allowing for a three-year regeneration
period. The yield was approximately 3,106 cubic feet of wood per acre.
   Wadsworth (1959)  reported  silviculture  of Laguncularia  racetnosa in
Puerto Rico. Undisturbed stands 22 years old attained an average diameter at
breast height of  5.0 inches and 2,680 cubic feet of wood per acre. Natural
regeneration  by  water-borne  seedlings  occurred  within two years after
clearfelling.  Holdridge (1940) recommended a cutting cycle of five years and
a rotation* cycle of 25 years for exploitation of mangroves in Puerto Rico.
                                   115

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                            GERALD E. WALSH

  Golley et al. (1962)  reported that in a R.  mangle forest in Puerto Rico,
annual production of wood was 0.84 g/m^/day (0.42 g C/m^/day). This was
much less than that reported by Noakes in Malaya (14 g C/m^/day).
  It should be pointed out here that in some areas, silviculture of mangrove is
practiced in the belief that the wood is resitant to marine boring organisms.
Southwell  and Boltman (1971) tested  resistance to marine borers by  R.
mangle, R. brevistyla, A. marina, C. erectus, and Laguncularia racemose. Only
C. erectus  showed natural resistance to teredo, pholad, and limnorid borers.
The Rhizophora species were almost completely destroyed after immersion in
Pacific Ocean water for  14 months.
                             HERBICIDES

   Herbicides have been used for almost 20 years for control of mangrove. In
Africa  (Sierra  Leone), Ivens (1957)  reported  that  application  of  the
auxin-type  herbicides  2,  4-dichlorophenoxyacetic  acid  (2,  4-D), 2,  4,
5-trichlorophenoxyacetic    acid    (2,   4,    5-T),     and    2-methyl,
4-chlorophenoxy-acetic  acid (MCPA) were effective in eradication of both R.
racemosa and A.  nitida  when applied to the bases of trunks at concentrations
of 4-20% in diesel oil. Frilled R. racemosa were killed by the butyl ester of 2,
4-D at concentrations between 0.5 and  1.0%, whereas 4% was required to  kill
unfrilled trees. Avicennia nitida was  slightly more resistant to 2,4-D than/t.
racemosa,-  concentrations between 2 and 4% being required to kill frilled
trees. 2, 4, 5-T and MCPA were not as  effective as 2, 4-D. Recovery of trees
after treatment with 2, 4, 5-T was reported.
    The first signs of herbicidal effect were noted approximately three weeks
after application, when  the  leaves turned  yellow. Extensive  defoliation
occurred by seven months after treatment, at which time many trees of both
genera were dead. Seedlings and young trees  were  more resistant than old
trees.
   Ivens also reported  that 3-(4-chlorophenyl)-l,  1-dimethylurea  (CMU)
killed all trees when applied to the  pneumatophores of A. nitida at the rate of
20 Ib/acre. Dalapon (2, 2-dichloropropionic acid) caused complete kill with
no regrowth at 40 and 80 Ib/acre. There was a small amount of regrowth after
application of dalopon at 20 Ib/acre.
   Truman (1961) reported total kill of treated A. marina in Australia by 1%
2, 4-D applied to the basal bark. Only 54% were killed by treatment with 1%
2, 4, 5-T.  Spotted gum (Eucalyptus maculata Hook.), an  upland tree, was
only slightly affected by  the  same  treatment.  Truman  concluded that  A.
Marinna was very susceptible to auxin-type herbicides.
   The concept of high susceptibility of mangrove to auxin-type  herbicides
was extended by Tschirley (1969), Orians and Pfeiffer (1970), and Westing
(1971a, b), who stated that mangrove forests in Vietnam were destroyed after
•a single application of 6.72 kg/ha of the triisopropanolamine salt of 2, 4-D in
combination with 0.61  kg/ha of the triisopropanolamine salt of 4-amino-3, 5,
6-trichlorophcolinic acid (picloram). The forests were composed mainly of s'.
                                  116

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                       ECOLOGY OF HALOPHYTES
alba, B. parviflora, B. gymnorhiza, A. marina, A. intermedia, R. conjugata, C.
candolleana, and N. fruiticans. Westing (197la) reported that treated areas in
Vietnam  remained  uncolonized by mangrove six  years  after  treatment.
Westing (1971c) also published a list of references to effects of herbicides in
Vietnam.  For reviews of herbicidal effects in Vietnam, see Boffey (1971) and
Aaronson(1971).
   Westing (1971a) pointed out that application of 2, 4-D in combination
with picloram both defoliated and killed nearly all trees injhe sprayed areas.
He also stated that herbicides seemed to prevent recolonization by mangrove,
although he observed rapid recolonization of an area cleared by cutting. It is
true, however, that a large portion of the denuded mud flats of Vietnam are
only occasionally  inundated by tidal water and that sufficient numbers of
seedlings for regeneration are not carried in. Another possible reason for lack
of recolonization  may  be related to  texture of the denuded soil. Natural
regeneration of mangrove is greatly  retarded when soil becomes too stiff or
hardens after exposure to the sun (Banijbatana 1958).
   We (Walsh et  al., in press) have  studied  affects of Tordon® 101 on
seedlings  of R. mangle  from Florida.  Tordon  101 is a mixture of the
triisopropanolamine salts of 2, 4-D (39.6%) and picloram (14.3%). Seedlings
that had  no leaves and  one or  two pairs of leaves were treated with  1.12,
11.2, and 112.0 kg/ha (1, 10, and 100 Ib/acre). These rates were equivalent to
0.44, 4.40, and 44.0 kg/ha 2, 4-D, and 0.16, and 16.0 kg/ha picloram. A
combination of 0.44 kg/ha 2, 4-D and 0.16 kg/ha picloram caused stunted
growth of  seedlings without leaves, but  had no permanent effects  upon
seedlings with one or two pairs of leaves. Higher concentrations caused death
of all treated seedlings by 50 days after treatment.
   We were never able to quantify tissue residues in seedlings without leaves
that  had  been   treated at  the  lowest concentrations.  The  limits  of
quantification were 0.02 ppm (parts  per million) 2,  4-D and  0.01  ppm
picloram. Even though  tissue  residues were very low, seedling development
was greatly inhibited.  In seedlings with leaves, greatest herbicidal residues
occurred in the highest  leaves  and hypocotyl. Table 20 shows distribution of
2, 4-D and picolinic acid in  the organs of seedlings treated when two pairs of
leaves were present.
   At the tissue level, symptoms of. herbicide poisoning were desiccation of
leaves, plugging of vessel elements, and  destruction of root cortex.  Root
destruction  probably impared the ability of seedlings  to  regulate salt and
water  balance. For example, concentrations of sodium and potassium in
seedlings were directly  related to application rate and time (Table 21). No
changes were  found  in  concentrations of magnesium, manganese, calcium,
iron, or zinc. Strogonov (1964) said that symptoms of salt poisoning in plants
include bleaching  of chlorophyll  accompanied by browning of the leaves.
Both symptoms were observed in our treated seedlings.
                                  117

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                             GERALD E. WALSH
Table 20.  Concentrations of 2,4-D and picollnic acid, in parts per mlHion (+ 20%), of wet tissue in

organs of R. mangle seedlings treated with Tordon 101 when two pairs of leaves were present. Residues

were detected in every analysis ot seedlings treated with 1.12 kg/ha but were below quantifiable

levels (0.01 for plcolinlc acid, 0.02 for 2,4-D) (Balsh et al. in press).
Treatment
kg /ha
11.2

112.0
Day
30
40
10
Roots
2.4-D
0.02
0.02
1.23
FA
0.01
0.01
0.39
Hypocotyl
2.4-D
0.10
0.23
1.68
PA
0.03
0.10
0.49
Stem
2.4-D
0.02
0.23
1.02
1st leaves
PA
0.01
0.10
0.43
2.4-D
0.02
0.29
0.63
PA
0.01
0.10
0.24
2nd leaves
2.4-D
0.13
0.35
0.87
PA
0.06
0.10
0.41
Table 21. Concentrations of sodium and potassium in the stems of R. mangle
seedlings treated with Tordon 101 when two pairs of leaves were present;  50
days after treatment (Walsh, unpubl.)
Treatment

Control
1.12 kg/ha
11. 2 kg/ha
112.0 kg/ha

Na
37,500
49,800
64,900
96,200
ppm Dry Weight
K
4,375
4,821
5,295
6,321
                            Acknowledgements

   I thank Drs. Frank B. Golley and S. S. Sidhu and Mr. Terry A. Hollister for
data on elemental composition. Special thanks are given to Mrs. Ann Valmus,
Librarian at the  Gulf Breeze Laboratory, for aid in obtaining copies of many
publications and for her patience in  checking the references. The quotation
from 'The Night  Country" was made with  permission of Charles Scribner's
Sons, Publishers, New York. Thanks are also given to Mrs. Steven Foss for
making the illustrations.
® Registered trademark, Dow Chemical Co., Midland, Michigan. Reference to trade
names  in  this publication does not constitute endorsement by the Environmental
Protection Agency.
                                    118

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                      ECOLOGY OF HALOPHYTES


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                           GERALD E. WALSH


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                                 174

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CONTRIBUTION NO. 155

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         RESIDUES  IN  FISH,  WILDLIFE,
                         AND  ESTUARIES
                                         Reprinted by
                              U.S.  Environmental Protection Agency
                                             from
                   Pesticides Monitoring Journal, Volume 6, Number 4, March 1973
                     Organochlorine Residues in Estuarine Mollusks,
                    1965-72—National Pesticide Monitoring Program1
                                       Philip A. Butler3
                  Part  I. General Summary  and  Conclusions
                  Part II. Residue Data—Individual  States
                            SECTION A:
                            SECTION B:
                            SECTION C:
                            SECTION D:
                            SECTION E:
                            SECTION F:
                            SECTION G:
                            SECTION H:
                            SECTION I:
                            SECTION J:
                            SECTION K:
                            SECTION L:
                            SECTION M:
                            SECTION N:
                            SECTION O:
ALABAMA
CALIFORNIA
DELAWARE
FLORIDA
GEORGIA
MAINE
MARYLAND
MISSISSIPPI
NEW JERSEY
NEW YORK
NORTH CAROLINA
SOUTH CAROLINA
TEXAS
VIRGINIA
WASHINGTON
                                         ABSTRACT
This  paper  describes  the development of the  national
program for monitoring estuarine mollusks in 15 coastal
States and reports the findings for the period 1965-72. The
report is presented in two parts: Part I. General Summary
ind Conclusions, and Part II.  Residue Data—Individual
States.
1 Contribution No. 155 from the Gulf Breeze Environmental Research
 Laboratory, U.S. Environmental Protection Agency, Gulf Breeze, Fla.
 32561,  an Associate Laboratory of the  National  Environmental
 Research Center, Corvallis, Oreg.
3 Ecological Monitoring Branch, Technical Services Division, Office
 of Pesticide Programs, U.S. Environmental Protection Agency, Gulf
 Breeze, Fla. 32561.

238
      Analyses of  the 8,095  samples for 15 persistent organo-
      chlorine compounds showed that DDT residues were ubiqui-
      tous; the maximum DDT residue detected was 5.39  ppm.
      Dieldrin was the second most commonly detected compound
      with a maximum residue of 0.23 ppm.  Endrin, mirex,  toxa-
      phene, and polychlorinated biphenyls were found only oc-
      casionally. Results indicate a clearly defined trend towards
      decreased levels of DDT residues, beginning in 1969-70. At
      no  time were residues observed of such a magnitude  as to
      imply  damage to mollusks; however,  residues were  large
      enough to pose a  threat to other  elements  of  the  biota
      through the processes of recycling and magnification.

                       PESTICIDES MONITORING JOURNAL

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                            Part I. General Summary and Conclusions
                    Introduction

Initial  investigations  of  the  effects of  pesticides  on
estuarine  fauna were  undertaken at the  Gulf Breeze
Laboratory in 1958 to  determine if the pesticide lindane
might be safely used directly in estuarine waters to con-
trol  crabs preying on shellfish  populations.  The un-
expected  acute toxicity  of  this chemical, not  only  to
crabs but  also to nontarget organisms, revealed by these
early experiments prompted a broad investigation of both
the direct and indirect  effects  of persistent  synthetic
pesticides. The extent  of the  problem was not known,
and the investigators were concerned about the potential
harm to estuarine fauna exposed to drainage waters from
large river basins where significant quantities of pesticides
were used. Marine commercial fisheries were recognized
as being especially  vulnerable since  a major portion  of
their catch, both in  tonnage and dollar value,  is made up
of estuarine-dependent species.

The  acute toxicity of a broad spectrum of pesticides was
determined under laboratory conditions (14-17). These
data, however, could be  most useful only if  there were
information  on the  actual  levels of  organochlorines
reaching  the estuarine  environment.  Accordingly,  a
search was undertaken for meaningful tools to measure
this type of pollution  (6).

The  decision to use mollusks as bioassay t6ols was  based
on the  findings of  laboratory experiments designed  to
measure the uptake and  flushing  rates of an  array  of
organochlorine pesticides under  controlled  conditions.
Various species of  mollusks,  but  primarily the eastern
oyster,  Crassostrea virginica,  were  exposed to appro-
priate  concentrations of  pesticides added  continuously
to a flowing seawater system. Results  indicated that
oysters detect DDT in the ambient water supply at  levels
as low as 10 parts  per trillion (lO"11). By the process
of biomagnification, residues  of  DDT as  high as 25
ppm accumulate in oyster tissues  within 96  hours at a
level of environmental contamination  of only 1.0 ppb
(1). Oysters tolerate tissue residues  of DDT at least  as
high as 150 ppm without apparent ill effect  provided
residues are  accumulated slowly.  However,  as little  as
0.1 ppm of DDT in the oyster's water supply terminates
feeding activities and at summer water  temperatures
(31°C) will  cause death.

Organochlorine residues  are flushed rapidly  from mol-
luscan  tissues  when   the  water   supply  is  no longer
contaminated. In one experimental series,  for  example.
DDT residues of  about 25  ppb in oysters  and soft

VOL. 6, No. 4, MARCH 1973
clams, My a  arenaria, diminished  by 50-90%  after a
week of flushing in clean water. Consequently, it is
possible to learn much about the periodicity of organo-
chlorine pollution in estuaries from samples of sedentary
species collected at appropriately  brief intervals.

As  a result  of these studies, it  was possible for  the
Bureau of Commercial Fisheries to undertake a program
for monitoring pesticide residues  in  estuarine mollusks
to determine the extent of  organochlorine  pollution.
The  collection of samples was not begun immediately in
some areas,  while  in  others,  sample  collection  was
terminated at an early date.  The program was continu-
ously operative, however, from July  1965  through June
1972. In  1971, the  Gulf Breeze  Laboratory and  the
monitoring program became a part of the U.S. Environ-
mental Protection Agency.

The following report describes the 7-year (1965-72) data
collection and  discusses, specifically, the well-defined
trends in the magnitude of DDT residues in estuarine
mollusks. Except where  noted, the term DDT includes
the metabolites TDE and DDE.  All residue analyses
are presented, by State, in Part II of this report. A report
summarizing the first 3 years of this  program was pub-
lished in 1969  (3).

                Data Interpretation,

Although the eastern oyster  has a wide distribution, it
was  obvious  that some  other species  might  be more
available for monitoring in different  geographical areas
or salinity  regimes;  thus, different species of mollusks
were tested in the laboratory to determine their relative
capabilities in the uptake and retention of organochlorine
pollutants (2).  Such information  is  all  important  for
the understanding of these monitoring data.

In the  tests, all species were exposed  to  the same
hydrographic conditions with low turbidity  and a  salinity
level about 80% that of seawater. It is probable that
species  accustomed  to  different  ecological  conditions
would react  more  efficiently in   nature  than  in   the
Laboratory. Caution must be exercised in the extrapola-
tion of laboratory results to field conditions, and,  at best,
such data serve only as guidelines for the  interpretation
of residue levels in  monitored samples.

In general, any of three  species of oysters, four  species
of mussels  and two  species  of clams  were found to be
reliable indicators of the magnitude  of organochlorine
pollution (Table 1).  In  some areas it was necessary to
use the hard clam, M. mercenaria, although it is the least
satisfactory   of  the  species  evaluated.  Under  similar

                                                  239

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laboratory  conditions,  for example,  hard  clams  ac-
cumulated pesticide  residues less than half as large as
those in oysters. Moreover, the residues were flushed
from the clam much more quickly than from the oyster
when clean water  was restored.

         Sample Collection and Preparation
The management of estuarine molluscan resources is the
responsibility of the  individual  States;  therefore,  in
each coastal area there is a cadre of specialists who are
not only interested in estuarine pollution but who also
have the knowledge and equipment necessary to collect
shellfish samples.  Without  the continuing cooperation

TABLE  1.—Pelecypod mollusks used  to  monitor organo-
         chlorine residues in 15  States—1965-72

         SCIENTIFIC AND COMMON NAMES OP MOLLUSKS
Crassostrea glgas
Crassostrca vlrglnica
Oslrea lurlda
Modtolus demtssus
Modiolia modlolus
Mytilus californianus
Mytilus edulis
Mercenaria mercenaria
Mya arenarla
Corbicula  flumtnea
    STATE
Alabama
California
Delaware
Florida
Georgia
Maine
Maryland
Mississippi
New Jersey
New York
North Carolina
South Carolina
Texas
Virginia
Washington
Pacific oyster
eastern oyster
Olympia oyster
ribbed mussel
northern horse mussel
Californian mussel
blue mussel
hard  clam
soft clam
Asiatic clam, fresh water
                             SPECIES COLLECTED
C, vlrglnica
C. gigas
O. lurida
M. demtssus
M. californianus
M. edulis
C. flumlnea
C. vlrglnica
M. demissus
M. mercenaria
C. virglntca
C. virglnlca
M. modlolus
M. edulis
M. arenarla
C. vlrginica
C. vlrginica
C. vlrginica
C. vlrginica
M. demissus
M. edulis
M. mercenaria
M. arenarla
C. vlrginica
C. vlrginica
C. vlrginica
C. virgintca
C. glgas
 240
of these agencies (see Acknowledgment), this  program
could not have achieved its objectives.

Estuaries with well denned drainage basins and bays that
could be considered "nursery areas" for estuarine fauna
were selected for monitoring.

Some sites were monitored because of suspected pollu-
tion problems. To insure continuity of data, permitting
detection of  not only seasonal  but  yearly  trends  in
pesticide pollution levels, it was essential, too, that the
stations  selected have shellfish populations large enough
for monthly collections over a number of years.  Dupli-
cate  samples  of 15  or  more  mature mollusks were
collected and prepared for shipment  at about 30-day
intervals. About 10% of all samples  were  analyzed in
replicate; the remaining duplicates were discarded after
satisfactory analysis  of the sample. Sample collections
were interrupted by  the  loss of shellfish  populations  to
vandals, floods, and hurricanes, but the overall continuity
of the data was good.

Coverage of  coastal  estuaries was incomplete  in  this
program because other agencies were monitoring shell-
fish  in  some states,  notably Alabama,  Louisiana,  and
Massachusetts.  The  number of  sample  collections by
State and year is tabulated in Table 2. The original plan
was to  monitor each  area for 5 years so that trends  in
pesticide residue levels could be detected. The general
absence of residues  in Washington estuaries,  however,
prompted an earlier termination of monitoring in  that
State. In addition to the samples tabulated,  about 2,000
miscellaneous samples of other species of vertebrates and
invertebrates  were collected and  analyzed.  These  fre-
quently had more varied pesticide residues and at higher
levels than mollusks  but  are  omitted from  this  report
because of difficulty  in determining their source.

The analysis  of all samples by a single laboratory  to
insure  uniformity seemed  important in planning the
program. Various potential preservatives were examined
to find  a method for shipping samples without resorting
to refrigeration. Eventually, it was discovered that by
dehydrating  the homogenized tissues  of mollusks  or
other marine animals with a desiccant  mixture, the dry
samples could be wrapped in aluminum foil  and held
without refrigeration  for  15  or  more  days without
degradation or loss of organochlorine residues (2). This
made it possible to ship the samples by regular mail.

In  practice,  samples  of  15 or more mature oysters  or
other mollusks were collected and  taken to the cooperat-
ing  agency's  laboratory.  Samples  not  to be processed
immediately could be refrigerated  for 2 or 3 days in the
shell.  If longer storage  was necessary,  animals were
shucked and  the undrained meats frozen  in  mason  jars.
The shucked  meats were homogenized  in  an  electric
blender, and  approximately 25-g aliquots were blended

                      PESTICIDES MONITORING JOURNAL

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with precisely three times their weight of desiccant to
yield a  total sample weight of about 100 g. Alternate
blending and  chilling  (not freezing)  of  sample  is re-
quired  to  achieve a  dry, free-flowing  product.  The
amount of desiccant used depends on the moisture con-
tent of  the sample.  Less desiccant is required  for  fish
(two times body weight), while up to nine times as much
desiccant  may be used  with small  samples, plankton
for example,  to achieve a 100-g  final weight  of  the
sample  to  be processed. The desiccant is made up of
about 90% sodium sulfate and 10%  Quso (Quso G30,
manufactured by Philadelphia Quartz Co., Philadelphia,
Pa.),  a  micro fine precipitated silica.

                Analytical Procedures

Throughout  the  monitoring program   samples were
routinely  screened for the following substances: aldrin,
chlordane;  p,p'-DDT,  p.p'-TDE  (ODD),  p.p'-DDE,
dieldrin, endrin, heptachlor, heptachlor epoxide,  lindane,
methoxychlor, mirex,  and toxaphene. On the  few oc-
casions when the o,p' isomers of DDT were  detected in
quantifiable amounts, they were  included with  the p,p'
residues.

On receipt in the laboratory, samples  were extracted
ftir 4 hours with petroleum ether  in a Soxhlet apparatus.
Extracts were concentrated  and transferred to  250-ml
separatory funnels. The extracts  were diluted to 25 ml
with  petroleum ether  and partitioned with  two,  50-ml
portions  of acetonitrile previously saturated with petro-
leum ether. The acetonitrile was evaporated just to dry-
ness,  and the  residue  eluted from a  Florisil column
(12). The sample  was then identified  and quantitated
by electron capture gas chromatography. Three columns
of  different  polarity  (DC-200,  QF-1,  and  mixed
DC-200/QF-1)  were   used  to  confirm  identification
Operating parameters on Varian Aerograph gas chrom-
atographs were as follows:
  Columns:     Pyrex glass 6' x W (o.d.) packed with 3% DC-200,
              5% QF-1, and a 1:1 ratio of 3% DC-200 and 5%
              QF-1, all on 80/100 mesh Gas  Chrom Q
  Temperatures:  Detector—210° C
              Injector—210° C
              Oven—190° C
  Carrier gas:    Prepurified nitrogen at a flow rate of 40 ml/mln

A few samples were analyzed by thin layer chromatog-
raphy. All residues are reported on a wet-weight basis.
The lower limit of quantification was 10 ppb. Laboratory
tests conducted during the sampling  period  gave the
following recovery rates: p,/-DDE, 80-85%; p.p'-TDE,
92-95%; p,//-DDT, 91-95%. Data in this report do not
include a correction factor for percent recovery.

Toxaphene sometimes  interfered with the quantification
of DDT  residues which, in  these cases, are reported as
approximate values. The lower limit of quantification of
toxaphene was 250 ppb. The presence of polychlorinated
biphenyls (PCB's)  also interfered  with the  quantifica-
tion of  DDT residues. In  most  instances,  DDT was
calculated as though PCB's were not present. Acquisition
                      TABLE 2.—Summary of sample collections by State and year—1965-72
STATB
Alabama
California
Delaware
Florida
Georgia
Maine
Maryland
Mississippi
New Jersey
New York
North Carolina
South Carolina
Texas
Virginia
Washington
PRINCIPAL
SPECIES
MONITORED
C. virginlca
C. glgas
M. mercenaria
C. virginlca
C. virgin/Co
M. arenaria
C. virginlca
C. virglnlca
C. virginlca
M. mercenaria
C. virginica
C. virginica
C. virginlca
C. virginica
C. glgas
Total
NUMBER OF SAMPLE COLLECTIONS
1965



6

6
30



72
53
56
40
263
1966

136
16
80

95
18
71
23
148
96
142
133
117
218
1,293
1967

180
101
102
112
89
20
72
44
183
201
143
125
123
223
1,718
1968
13
167
99
82
127
79
26
72
45
175
204
145
93
120
214
1,661
1969
20
139
71
44
124
83
9
63
39
174
204
108
97
112

1,287
1970

45

35
121
44
15
66
33
148
124

103
105

839
1971

75

19
120

60
27
143
136

95
27

702
1972

30

6
60

36
8
88
66

29
9

332
TOTALS
33
772
287
374
664
396
88
470
219
1,059
1,031
610
728
669
695
8,095
 VOL. 6, No. 4, MARCH 1973
                                                                                                          241

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 of the appropriate standards permitted the identification
 of Aroclor 1254® in samples from California, Florida,
 Georgia,  Texas,  and  Virginia,  and  Aroclor  1242®
 in samples from  Virginia. Since  1970,  PCS residues
 have been  approximately quantified in  samples from
 Florida and, more recently, from Virginia.

 There is some question as to how much interference by
 PCB's exists in the sample analyses reported in the early
 years of the monitoring program. At this time there is
 no way of knowing  with certainty. It is considered sig-
 nificant that in  the  period 1965-70 there was a 3-8%
 annual increase  in the domestic sale of  these chemicals,
 and  total domestic sales in 1970 were more than  double
 sales in 1960; however, PCB residues were identified  in
 samples fron relatively few estuaries in 1971.

 During the course of the program, several  States ex-
 tended the  monitoring  of their estuaries and collected
 more  samples  than  the  Gulf  Breeze Laboratory  was
 equipped  to process. Analytical equipment  similar  to
 that  used at Gulf Breeze was provided to these agencies
 as well as  a manual of operations (Prepared by A.  J.
 Wilson, Jr., Research Chemist, Gulf Breeze Laboratory).
 to insure similar methodology  in analytical techniques.
 For  the first few collections under the new arrangement,
 samples were split and analyses made by  both the State
 and  Federal laboratories. Excellent comparability in data
 was  obtained (13) and  thereafter, the State agency sub-
 mitted only the monthly data reports to the Gulf  Breeze
Laboratory. Such arrangements  were in effect during
portions  of  the  monitoring program  in California,
Georgia, Maine, New York,  and  Virginia.
          Data  Summaries and Discussion

DDT with its analogs was the most commonly identified
pesticide and occurred in 63% of all samples analyzed
(Table  3). Dieldrin  was the second  most commonly
detected residue with an incidence of  15%. DDT and
dieldrin were detected in some samples from  all States
monitored (Tables  4 and  5).  Other organochlorine
residues were encountered infrequently and generally at
low levels, with the exception of toxaphene. The large
number of Georgia samples containing toxaphene  re-
flects  the  direct contamination of the  marine environ-
ment  by the effluent from a  single manufacturing plant.

The incidence of DDT residues varied markedly from
one drainage basin to another and was not correlated
with the magnitude of the residues. Only in New  Jersey
and Alabama,  for example, did  all  samples contain
detectable  residues of DDT, but the size of DDT resi-
dues was  greater in several  other States (Table  4). It
is true that in both Alabama  and New Jersey, monitored
oyster populations were exposed primarily to the  runoff
from  a single,  although complex, drainage  basin.  In
other  States, samples were collected from several distinct
drainage basins.
           TABLE 3 —Summary of organochlorine residues detected in estuarine mollusks by Stale—1965-72
STATE
Alabama
California
Delaware
Florida
Georgia
Maine
Maryland
Mississippi
New Jersey
New York
North Carolina
South Carolina
Texas
Virginia
Washington
TOTAL
NUMBER
OF
SAMPLES
33
772
287
374
664
396
88
470
219
1,059
1,031
610
728
669
695
NUMBER OF SAMPLES WITH RESIDUES >5 PPB (JIG/KG) AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (AG/KG) ,.
DDT
33 (616)
712 (3,970)
216 (205)
230 (5,390)
96 (96)
72 (359)
71 (70)
285 (135)
219 (278)
858 (596)
768 (566)
332 (154)
530 (1,249)
585 (678)
78 (176)
DIELDRIN
6 (21)
194 (57)
37 (25)
27 (28)
141 (230)
14 (38)
11 (22)
19 (20)
52 (26)
456 (132)
12 (19)
24 (154)
134 (87)
112 (40)
1 (120)
ENDRIN

14 (19)










22 (32)


MlREX











12 (540)



TOXAPHENE

4 (11,000)


128 (54,000)







' 1


PCB's

121

25 (390)
1 16



'6



15
19 (2,800)

1 Present but not quantified.

242
                    PESTICIDES MONITORING JOURNAL

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TABLE 4.—Listing of  States in order of frequency and
      maximum value of DDT residues in mollusks
TABLE  5.—Listing  of  States in order of frequency  and
      maximum value of dieldrin residues in mollusks

STATE

Alabama
New Jersey
California
Virginia
New York
Maryland
Delaware
North Carolina
Texas
Florida
Mississippi
South Carolina
Maine
Georgia
Washington
FREQUENCY
OF RESI-
DUES (%)
100
100
92
87
81
81
75
75
73
62
61
54
18
15
11

STATE

Florida
California
Texas
Virginia
Alabama
New York
North Carolina
Maine
New Jersey
Delaware
Washington
South Carolina
Mississippi
Georgia
Maryland
MAXIMUM
VALUE
IN PPB
5,390
3,970
1,249
678
616
596
566
359
278
205
176
154
135
96
70

STATE

New York
California
New Jersey
Georgia
Alabama
Texas
Virginia
Delaware
Maryland
Florida
Mississippi
South Carolina
Maine
North Carolina
Washington
FREQUENCY
OF RESI-
DUES (%)
43
25
24
21
IS
18
17
13
13
7
4
4
4
1
<1

STATE

Georgia
South Carolina
New York
Washington
Texas
California
Virginia
Maine
Florida
New Jersey
Delaware
Maryland
Alabama
Mississippi
North Carolina
MAXIMUM
VALUE
IN PPB
230
154
132
120
87
57
40
38
28
26
25
22
21
20
19
NOTE: These comparisons are limited in that the number of samples,
       number of sampling stations,  periods (years) of sampling, and
       species of mollusks differ for each  State.

The magnitude of all DDT residues was  low compared
to  residues reported  in  carnivores such  as  fish-eating
birds. By extrapolation from laboratory experiments, the
monitoring data indicate that, in most cases, estuarine
pollution with DDT was  intermittent and  at levels in the
low parts-per-trillion range. In only 38 samples (0.5%)
did  the  residue  exceed  1.0 ppm.  These samples  were
collected in California, Florida, and  Texas in drainage
basins having intensive  agricultural  development.  The
single highest residue of 5.39  ppm (DDT-3.70 ppm.
TDE-0.76  ppm,  DDE-0.93  ppm)  was observed in
oysters from the Caloosahatchee River drainage basin in
Florida where the seasonal pattern of residue fluctuations
indicated an agricultural or at least a scheduled use of
the  pesticide  (Fig.  1). It  is  significant  that  extensive
acreage  in this drainage basin  was devoted to sugarcane
and sweetcorn  that would  be maturing  and  receiving
fairly  heavy applications of pesticides during the  peak
residue periods indicated in Fig.  1  (R. G. Curtis, 1972,
Florida  Cooperative Extension  Service,   personal com-
munication) .  In controlled  feeding experiments in  the
laboratory, from 50 to 100%  mortality was observed in
small  populations of  commercial species of shrimp.
crabs, and fish fed exclusively diets containing less than
3.0 ppm of p,p'-DDT (4).

In a survey of 7,000 analyses  of mollusk samples com-
pleted in the period  1965-71, the mean  residue com-
pc-. ::™  was  24% DDT, 39%  TDE, and 37%. DDE.
Exc."r.;;ons  to this  average picture were Station  2 in
Nev  I.'f'' where DDT  comprised only  4%  (mean of
47  -...   .j in 5 years) and Station  18  in Washington
where DDT made up 75% of the residues  (mean of

VOL. 6, No. 4, MARCH 1973
NOTE: These comparisons are limited in that the number of samples,
       number  of sampling stations, periods (years)  of  sampling,
       and species of mollusks differ for each State.

36  samples in 3  years).  Biotic recycling of persistent
residues is usually associated with the high percentages
of  DDT metabolites found in dominant carnivores. It
is of interest that  the metabolites were the only residues
detected in  many  of these  analyses  of filter-feeding
mollusks. Results  of a study  by Johnson  et  al.  (10)
indicated that there are some animals, however, such
as  aquatic insects,  in which direct  exposures to DDT
result  in tissue residues  that are more than 80% DDE.
The large percentage of the parent  compound DDT in
residues from Washington mollusks  does imply a direct
contamination of the estuarine environment, perhaps,
for insect control. But in general, the percentage distri-
bution  of DDT  metabolites  in these samples revealed
little about the kinetics of DDT in the  estuary.
               M  A   M   j   JASOND
FIGURE 1.—DDT residues in the eastern oyster from the
Caloosahatchee River Basin, Lee County, Fla., by month of
               collection—1967 and 1968

                                                   243

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             Trends in DDT Residues
Many of the estuaries were monitored over a sufficient
period of time  to  permit  detection of clearly defined
trends in DDT residue patterns. Average DDT residue
levels detected in, the first 2 to 5 years and average levels
in the final year of monitoring in each State are pre-
sented in Table 6. The  overall picture is  that of  a
pronounced decline,  about 55%,  in the number  of
samples containing  DDT residues in excess of 100 ppb.
There was a 20% decrease  in the 10-100 ppb range, and
a concomitant 44% increase in the number of samples
having negligible or undetectable DDT residues.
There are important exceptions to this average picture.
In California, New York,  and Virginia, for example,
more samples had residues  in excess of 10  ppb in 1971
than in earlier years. On the other hand, the  percent of
samples having residues higher than  100 ppb declined
in these  States.  It  would  appear  that in  some areas,
DDT pollution has become more widespread, but has
resulted in residues  of lower magnitude in the estuarine
food web.

Since organochlorine  residues in  mollusks  showed  a
continuing decline in most areas during the  years that
domestic sales and presumably usage of PCB compounds
were  increasing,  PCB's were not considered to be  a
significant factor  in the early monitoring data.

Too few samples from Alabama were analyzed in  this
program to indicate  any trend in residue magnitude.
The mean value of 88 ppb of DDT in 33  samples  col-
lected  in 1969-70  may be compared, however,  with
a mean residue level of 330 ppb in a series of 82 samples
of oysters collected in 1965-66 (7).

Exact comparisons by States of the data in Table 6 are
not valid since  in succeeding years there were different
numbers of samples and occasionally different species of
mollusks collected at  the same station. A more critical
review of data on DDT residues is possible for 10  sta-
tions in North Carolina. These stations were selected for
the continuity  of sampling  of the eastern  oyster at
monthly intervals for more than 5 years. The number of
samples containing less than 11 ppb of DDT increased
steadily until, in 1971, 76% of all residues were in  this
category as  compared to only 8% in  1966 and 1967.
The corresponding decrease in  the number of samples
containing larger residues is shown in Fig. 2 and Table 7.
    TABLE 6.—Percent distribution of DDT residues of different magnitude  in estuarine mollusks by State—1965-71
                                               (7,000 samples)
STATE
Alabama
California
Delaware
Florida (1 station)
Georgia
Maine
Maryland
Mississippi
New Jersey
New York
North Carolina
South Carolina
Texas
Virginia
Washington (1 station)
Mean

PERCENT
<11 PPB
FIRST 2 TO
5 YEARS

14
23
43
85
82
19
42

26
22
52
34
18
92
39
1971

7
30
100
96
98
50
72
7
22
76
82
52

94
56
DISTRIBUTION OF SAMPLES
11-100 PPB
FIRST 2 TO
5 YEARS
69
30
62
57
15
17
81
56
69
60
68
47
53
67
8
49
1971

64
67

4
2
50
27
74
74
24
18
45
95
6
39
101-1,000 PPB
FIRST 2 TO
5 YEARS 1971
31
51 28
15 3


1

2 1
31 19
14 4
10
1
13 3
15 5

11 5
>1,OOOPPB
FIRST 2 TO
5 YEARS 1971

5 1










<1


<0.5
244
                                                                            PESTICIDES MONITORING JOURNAL

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                 TABLE 7.—Trends in magnitude of DDT residues in oysters, 10 stations, North Carolina
YEAR
1966
1967
1968
1969
1970
Subtotal
1971
TOTAL
NUMBER OF
SAMPLES
60
119
120
120
109
528
115
Percent change in 1971
from average for
1966-70
<11 PPB
NUMBER OF PERCENT
SAMPLES DISTRIBUTION
5
9
26
29
61
130
87
8
8
22
24
56
25
76
+204%
11-100 PPB
NUMBER OF PERCENT
SAMPLES DISTRIBUTION
45
90
70
77
46
328
26
75
76
58
64
42
62
22
-65%
101-1,000 PPB
NUMBER OP
SAMPLES
10
20
24
14
2
70
2
PERCENT
DISTRIBUTION
17
16
20
12
2
13
2
-83%

80

60
c
0)
u
OJ
0.
40
20






119











120







120







103







115












1967 1968 1969 1970 1971
FIGURE 2.—Percent of eastern oyster samples containing
more  than  10 ppb  of DDT, average  of monthly samples
collected at 10 stations in North Carolina (Numbers in bars
            indicate total number of samples)
                     Conclusions
The data demonstrate that in most estuaries monitored,
detectable DDT residues have declined in both number
and magnitude in several species of estuarine mollusks
in recent years.  DDT pollution  in many estuaries, as
judged  by the magnitude of the residues in mollusks,
peaked in 1968  and has been declining markedly since
1970.

The'sensitivity of mollusks to organochlorine pollutants
plus the fact that they are filter-feeders  warrant the as-
sumption that the contribution  of particulate DDT to
estuaries  from one or  more primary sources  such as
drainage  basin runoff waters, atmospheric fallout, and
persistent reservoirs  in  bottom sediments, has  declined
significantly.

VOL. 6, No. 4, MARCH 1973
                                                          In view of the efficiency of mollusks  in  detecting and
                                                          storing residues of the persistent organochlorines, it is
                                                          clear that  relatively low levels ofx this type of pollution
                                                          were present in the monitored areas during  the period
                                                          1965 to 1972.
                                                          Appropriate correlations  of the residue  data  reported
                                                          here with  available records of drainage-basin discharge
                                                          rates,  precipitation,  and  hydrographic factors  in  the
                                                          various types of estuaries  should  provide a useful model
                                                          for predicting the  effects  of future introductions of un-
                                                          specified   synthetic substances   chemically   similar  to
                                                          DDT.
See Appendix  for  chemical names  of  compounds  discussed  in
this paper.

               LITERATURE CITED

(1) Butler, P. A.  1966. Pesticides in the  marine environ-
   ment. J. Appl. Ecol. 3(Suppl.): 253-259.
(2)	. 1968. Pesticide residues in estuarine
   mollusks. Proc. Natl. Symp. Estuarine Pollut. Stanford
   University, Stanford, Calif., 1967. p. 107-121.
(3) 	. 1969.  Monitoring  pesticide  pol-
   lution. BioScience 19(10): 889-891.
(4) 	. 1969. Significance  of DDT residues
   in estuarine fauna,  p.  205-220.  In  Chemical  Fallout
   Charles C. Thomas, Springfield, 111.
(5) Butler, P. A., A. J. Wilson, Jr., and  R. Children. 1972.
   The association of DDT residues with losses in marine
   productivity, p. 262-266. In Marine pollution  and sea
   life. Fishing News (Books) Ltd.,  London, Eng.
(6) Butler, P. A.,  A. J. Wilson, Jr.,  and A. J. Rick. 1960.
   Effect of  pesticides on  oysters.  Proc. Natl.  Shellfish.
   Assoc. 51:23-32.
(7) Casper, V. L., R. J. Hammerstrom, E. A. Robertson,
   Jr., J. C.  Bugg, Jr., and J. L. Gaines. 1969. Study of
   chlorinated pesticides in oysters and estuarine environ-
   ment of the  Mobile  Bay  area. USDHEW,  Consum
   Prot. Environ. Health Serv. 47 p.
(8) Duke, T.  W., J. I. Lowe, and A.  J. Wilson, Jr. 1970. A
   polychlorinated biphenyl (Aroclor 1254®) in the water,
   sediment,  and  biota  of Escambia Bay, Florida.  Bull
   Environ. Contain. Toxicol. 5(2):  171-180.

                                                  245

-------
  (9) Foehrenbach. ]., G. Mahmood, and D. Sullivan. 1971.
      Chlorinated  hydrocarbon  residues  in  shellfish  (Pele-
      cypoda)  from estuaries of  Long Island, New  York.
      Pestic. Monit. J. 5(3): 242-247.
 (10) Johnson, B.  T., C. R. Sounders, H. O. Sanders, and R.
     S. Campbell. 1971.  Biological magnification  and deg-
     radation  of  DDT and aldrin by freshwater inverte-
     brates. J. Fish. Res. Board Can. 28(5): 705-709.
 (11) May,  E. B. 1971. A survey of the oyster and oyster shell
     resources of Alabama. Ala. Mar. Resourc. Bull. 4:1-53.
 (12) Mills, P. A., J.  H.  Onley, and  R.  A. Gaither.  1963.
     Rapid  method  for  chlorinated  pesticide residues  in
     nonfatty foods. J. Assoc. Off. Agric.  Chem. 46(2): 186-
      191.
 (13) Modin, J. C.  1969. Chlorinated hydrocarbon  pesticides
     in California bays  and estuaries.  Pestic. Monit. J. 3(1):
      1-7.
 (14) U.S. Department of the Interior. 1962. Effects of pesti-
     cides on fish and wildlife in 1960. Fish Wildl. Serv. Circ.
      143. Washington, D.C. 52p.
 (IS) 	_. 1963. Pesticide-wildlife
     studies: a review  of Fish and Wildlife Service  investiga-
     tions during 1961 and 1962. Fish Wildl. Serv. Circ. 167.
     Washington, D.C. 109p.
 (16)	7954.   Pesticide-
     wildlife  studies  1963: a review  of  Fish  and Wildlife
     Service investigations during the  calendar year. Fish
     Wildl. Serv. Circ. 199. Washington, D.C.  129p.
 (17)	7965. The effects of pesti-
     cides on fish and wildlife.  Fish Wildl. Serv.  Circ. 226.
     Washington,  D.C. 77p.


                    A cknowledgments

 I should like  to but cannot acknowledge individually  the
 many  people  in  administrative  and  technical  positions
 whose interest in this program made  its efficient conduct
 possible. It is my pleasure to thank especially  Louis D.
 Stringer, Thomas C.  Carver,  Chester  E. Danes,   Anne
 Gibson,  now of the National  Marine Fisheries Service,
 and my secretary, Madeleine Brown, for their continuing
 cooperation and assistance.

 We are  greatly  indebted  to  the  graduate students and
 technicians whose diligence in the collection and proces-
 sing of samples made  the program a reality. I trust that
 the results will make them pleased with their participa-
 tion.

 The program could not have  been  developed without
 the interest and skills of Alfred J. Wilson, Jr.,  Research
 Chemist at the Gulf Breeze  Laboratory.

 Lastly, I thank the administrators and professional  staffs
 of  the cooperating  agencies  who kindly let me   think
 that the   monitoring  program  had  the  number  one
 priority on their busy schedules.


 In  view of the  volume  of data in  this report, it   is  in-
evitable that  there are sins of both  omission and  com-
mission.  The  writer  would  be  most  grateful  to  have
these  called to his attention  so  that  the record can be
appropriately emended.

246
COOPERATING AGENCIES— This alphabetical listing by  States in-
cludes the names of investigators and, where appropriate, chemists and
their titles  at the time they were participating in the program. Where
chemists are not listed, the samples were analyzed at the Gulf Breeze
Laboratory under, the supervision of Alfred  J. Wilson, Jr., with the
assistance of Jerrold Forrester and Johnny Knight. The listing of  more
than one principal  investigator or agency in any one State  reflects
changes taking place during the  monitoring period 1965-72.  Operational
funds  were provided by the U.S.F.W.S., Bureau of Commercial  Fish-
eries (BCF) for the collection of samples and for analytical equipment
where contracts are  indicated.  In  States  participating by agreement,
the  BCF provided equipment and chemicals.  In 1971-72, the program
was jointly funded by the National Marine Fisheries Service  (NMFS)
and the  Environmental Protection  Agency.
 ALABAMA


 CALIFORNIA
DELAWARE
FLORIDA
GEORGIA
MAINE
MARYLAND
MISSISSIPPI
NEW JERSEY
NEW YORK
NORTH
CAROLINA
SOUTH
CAROLINA

TEXAS
VIRGINIA
WASHINGTON
                   Alabama    Marine   Resources   Laboratory
                   Johnie  H.  Crance,  Director;  E.  B.  May,
                   Principal Investigator. Agreement.
                   California  Dept.  of Fish  and  Game,  Marine
                   Resources Operations
                   Dr.  H.  C.  Orcutt,  Laboratory Supervisor; John
                   Modin,  Chemist.  Contracts.  BCF:  14-17-0007-
                   332; 14-17-0002-211; -265; -337; -532.
                   California  Department  of  Fish  and  Game,
                   Resources Agency
                   W. H. Griffith,  Principal Investigator. Contract,
                   NMFS:  N-042-10-72(N).
                   University of Delaware
                   Dr.  F. C. Daiber,  Principal Investigator.  Con-
                   tracts,  BCF:  14-17-0002-117; -261;  -326.
                   State Board of Conservation Marine Laboratory
                   R. M. Ingle, Director of Research. Agreement.
                   Bureau of Commercial Fisheries — Environmental
                   Protection Agency,  Gulf Breeze Laboratory.
                   Dr. T. W. Duke, Director.  Agreement.
                   The  University of Georgia
                   Dr.  T. L. Linton,  Principal Investigator.  Con-
                   tracts, BFC: 14-17-0002-220; -267.
                   C. J. Durant, Principal Investigator and Chemist.
                   Contracts, BFC: 14-17-0002-344;  -454.
                   Dr. R. J. Reimold, Principal Investigator.  Con-
                   tract, NMFS: N-042-12-7KN).
                   Department of Sea  and Shore Fisheries
                   L. Varney,  Principal Investigator; John Hurst,
                   Laboratory  Director  and Chemist.  Contracts,
                   BCF:   14-17-0007-333;   14-17-0002-206;    -263;
                   -332; -434.
                   BCF Biological Laboratory
                   Dr. A. Rosenfield, Principal Investigator. Agree-
                   ment.
                   Gulf Coast Research Laboratory
                   Dr. W.  P. Abbott,  Principal Investigator.  Con-
                   tracts, BCF:  14-17-0002-133;  -172;  -235;  -341.
                   Dr. G. Gunter,  Laboratory Director.  Contract,
                   NMFS:  N-042-11-7KN).
                   Rutgers— The State  University,  Oyster Research
                   Laboratory
                   Dr. H. H. Haskin and D. £. Kunkle, Principal
                   Investigators. Agreement.
                   New York State  Department of Environmental
                   Conservation
                   D. H. Wallace,  Director of Marine Fisheries;
                   J. Foehrenbach, Chemist. Contracts, BCF: 14-17-
                   0002-163; -219; -268; -345; -455; NMFS:  N-042-
                  University  of  North  Carolina,  Institute  for
                  Marine Sciences
                  Dr. A. F. Chestnut, Principal Investigator. Con-
                  tracts, BCF: 14-17-0002-182; -239; -343; NMFS:
                  N-042-15-71(N).
                  Bears Bluff  Laboratories,  Inc.
                  Dr. G. R. Lunz, Director  (deceased). Contracts,
                  BCF: 14-17-0002-130;  -171;  -234;  -340; -426.
                  State of Texas, Parks and Wildlife  Department
                  T.  R.  Leary,  Coastal  Fisheries Coordinator;
                  R. Childress, Principal Investigator.  Agreement.
                  Virginia Institute of Marine Science
                  Dr.  M.  L. Brehmer,  Principal  Investigator;
                  Dr. R. J. Huggett,  Principal Investigator  and
                  Chemist.  Contracts, BCF: 14-17-0002-138; -174;
                  -237; -342; -452; NMFS:  N-042-13-71(N).
                  State of  Washington, Department of Fisheries
                  C. Lindsay,  R. E. Westley, Principal  Investi-
                  gators.  Contracts,  BCF:  14-17-0002-134; -1"3;
                  -236.

                       PESTICIDES MONITORING JOURNAL

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                           Part II.  Residue  Data—Individual  States
The  following sections present residue data for the 15
coastal States where estuarine mollusks were monitored
for organochlorine residues. A map showing  sampling
sites in the respective States together with  a discussion
of the findings are included in each  section.

SECTION  A.—ALABAMA
Samples of the eastern oyster, Crassostrea virginica, were
collected in Alabama at 3-month intervals during  1968-
69 from four commercial reefs in or near  Mobile Bay.
Samples  were processed at the Alabama  Marine Re-
sources Laboratory  and  mailed to  the Gulf Breeze
Laboratory  for chemical analysis.

Approximate station locations are  shown  in Fig. A-l.
Stations 1 and 2 on the eastern shore of Mobile Bay are
influenced more by the  presumably cleaner  Gulf  of
Mexico waters than Stations 3 and 4 which  are more
exposed to drainage waters from the Alabama-Tombig-
bee  River Basin. Both Stations 1  and 4 are influenced to
an unknown extent by  small  drainage basins  in  the
coastal areas of Alabama. A summary of data on or-
ganochlorine  residues in  the  monitored  species,   C.
virginica, is presented in Table A-l, and the distribution
of residues  in this species for each sampling station by
date of collection in Table A-2. Many of these data
have already been published by  the cooperating agency
(10).

All  33 samples  contained detectable amounts  of  DDT,
but  the sampling series was conducted  in Alabama for
too  few years to indicate annual  trends  in  pollution
levels. An earlier study of pesticide residues in Mobile
Bay  oysters (7) also reported  a  100%  incidence  of
DDT in 82 samples analyzed; however,  maximum DDT
residues at  Shell Bank and Cedar  Point reefs were  13
and  25 times higher  in  1965  than those observed in
this study in  1969.  Because of differences in sample
preparation in the two studies, 1965 residues  could be
expected to be only about 10% higher than  the  1969
data had there  been no  change  in  DDT  pollution
levels in the  bay. Alabama and New  Jersey  were the
only States of the 15 monitored in which 100% of the
samples  contained detectable residues of DDT. The
maximum level of DDT in Alabama oysters (616  ppb)
was lower than residues found in four other States.

Dieldrin residues  were  small, but the  18%  incidence
was significantly higher than the average incidence for
all States of  15%.  The  incidence and magnitude of
dieldrin residues in the 1965 study (7) were significantly
higher.
               GULF  OF  MEXICO
                                             10 mi
  FIGURE A-l.—Diagram of coastal Alabama showing
      approximate location of monitoring  stations
           1.  Sbellbank—Bon Secour Bay
           2.  Klondike—Mobile Bay
           3.  Whitehouse—Mobile Bay
           4.  Cedar Point Reef—Mississippi Sound
   TABLE A-l.—Summary of data on organochlorine residues in the monitored species (C. virginica), 1968-69—Alabama

STATION
NUMBER

1
2
3
4


LOCATION

Shellbank
Klondike
White House
Cedar Point
Occasional stations (2)
Total number of samples
Percent of samples positive for indicated compound

MONITORING
PEKIOD

1968-69
1968-69
1968-69
1968-69
1968-69



NUMBER OF
SAMPLES '

8
8
1
8
2
33

NUMBER OF POSITIVE SAMPLES AND
MAXIMUM RESIDUE ( ) DETECTED
IN PPB (0G/KO)
DDT
8 (214)
8 (445)
1 (616)
8 (372)
2 (237)

100
DIELDRIN
1 (14)
1 (14)
2 (21)
2 (13)


18
 1 Each sample represents 15  or more mature mollusks.

 VOL. 6, No. 4, MARCH  1973
                                                                                                         247

-------
TABLE  A-2.—Distribution of organochlorine residues  in  C. virginica for each sampling station  by date of collection—
                                                       Alabama
                     [Blank = no sample collected; — = no  residue detected above 5 ppb; T = >5 but <10 ppb]
YEAR COMPOUND
RESIDUES IN PPB (AG/KO)
JAN. FEB. MAR. APR.
STATION 1.— SHELL
1968 DDE
TDE
DDT
1969 DDE
TDE
DDT
Dieldrin
110
88
16
48 94
31 70
— 14
MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
BANK— 8 SAMPLES1
110 33
52 15
12 —
48 26 T
25 17 T
— 13 —
STATION 2.— KLONDIKE— 8 SAMPLES 1
1968 DDE
TDE
DDT
1969 DDE
TDE
DDT
Dieldrin
230
180
35
120 18
100 94
— 44
— 14
STATION 3.— WHITE
1968 DDE
TDE
DDT
Dieldrin
1969 DDE
TDE
DDT
Dieldrin
320
240
56
20
110 15
83 98
— 36
— 21
210 45
130 37
34 12
170 73 22
110 53 18
23 62 —
HOUSE— 7 SAMPLES'
120 32
57 20
11 —
56 46
37 40
— 36
STATION 4.— CEDAR POINT— 8 SAMPLES i
1968 DDE
TDE
DDT
1969 DDE
TDE
DDT
Dieldrin
180
160
32
84 77
55 71
— 30
- 13
86 41
51 23
17 23
110 26 30
78 22 23
— 26 T
	 	 "J1
 1 Each sample represents 15 or more mature moUusks.
 248
PESTICIDES MONITORING JOURNAL

-------
SECTION B.—CALIFORNIA
The monthly collection of mollusks to monitor pesticide
pollution  in  12 estuaries in California  was initiated in
January  1966. Some of these stations were  terminated
and other estuaries were added during the course of the
program.  Samples  were  analyzed  at the  Gulf Breeze
Laboratory until May 1968; from then  until May 1970
they were analyzed at the Marine Resources  Operations
Laboratory of the Department of Fish and Game, Menlo
Park, Calif.  During the period July 1970   June  1972,
samples  were collected  and analyzed at approximately
3-month  intervals  by the  Department  of  Fish  and
Game, Pesticides Investigations at Sacramento, Calif.

Six  different mollusks   (Crassostrea gigas,   Corbicula
fluminea,  Modiolus  denissus,  Mytilus  californianus,
Mytilus  edulis,  and Ostrea  lurida)  were utilized  for
monitoring;  for the most part, a  single species  was
collected at  each station. The relative  ability of these
different mollusks  to store organochlorine residues  ap-
pears to be reasonably similar and, thus, comparisons of
the magnitude of residues in different  estuaries can be
made with some confidence. In general,  residue levels at
different  stations followed patterns  of  suspected  pollu-
tion loading in  the associated drainage  basin, regardless
of the species monitored.

The approximate  station locations  are shown in Fig.
B-l. A summary of data on  organochlorine  residues in
the monitored species is presented in Table B-l, and the
distribution of residues in these species for each sampling
station by date  of collection  in  Table  B-2.  Results of
some  of the analyses conducted by the  Gulf  Breeze
Laboratory during the period January 1966   December
1967 have been published by the cooperating agency
(13).
DDT  residues  in mollusks were  consistently larger in
California than  in any  other area monitored with  the
exception  of a  single  station  in  south Florida. There is
a  clear  pattern  of maximum  pesticide residues  being
correlated with proximity of the  monitoring station to
runoff from agricultural lands.  In southern  California,
where most  samples contained typically large residues.
residues were consistently higher at Hedionda and  Mugu
Lagoons, the  recipients  of agricultural runoff waters,
than  at Anaheim Slough which receives  intermittent
runoff from  the urban and industrialized sections of  Los
Angeles.  Residues in samples  from estuaries draining
the intensely cultivated central and southern parts  of the
State were larger,  by one order of magnitude  usually,
than those in samples collected from watersheds north
of San Francisco Bay where dairy land  predominates.

The incidence of dieldrin residues (25%)  was  second
only to New York  samples although residues were lower
in  magnitude than  in five other States. California  and
Texas were the only States where endrin and toxaphene

VOL. 6, No. 4, MARCH 1973
                                               11
        PACIFIC  OCEAN
                              0    60 n
FIGURE B-l.—Diagram of coastal California and the San
   Francisco Bay area showing approximate location of
                  monitoring stations
          1.  Hedionda Lagoon
         2.  Anaheim Slough
         3.  Point Mugu
         4.  Baywood Park—Morro Bay
         5.  Los Osos Creek—Morro Bay
         6.  Elkhorn Slough
         7.  Coyote Point—San Francisco Bay, South
         8.  Guadalupe Slough—San Francisco Bay, South
         9.  Alviso Slough—San Francisco Bay, South
        10.  West Island—Sacramento-San Joaquin River Basin
        11.  False River—Sacramento-San Joaquin River Basin
        12.  Napa River—San Pablo Bay
        13.  Petaluma River—San Pablo Bay
        14.  Point San Quentin—San Francisco Bay, North
        15.  Bolinas Lagoon
        16.  Schooner Bay—Drakes Estero
        17.  Berries Bay—Drakes Estero
        18.  Tomales Bay—Tomales Bay
        19.  Nicks Cove—Tomales Bay
        20.  Gunther Island—Humboldt Bay
        21.  Bird Island—Humboldt Bay

from presumably agricultural  sources  were detected.
Polychlorinated biphenyl  compounds were detected in
samples beginning in  1971, but  were  not  quantified.
They occurred in a few samples from nearly all drainage
basins monitored.

Late in 1970 or early 1971, there was a sharp decline in
DDT residues  in samples collected in estuaries draining
predominantly agricultural areas, i.e., San Francisco Bay
and the southern parts of the State. Decreased frequency

                                                   249

-------
of  sample  collection in  1970-71  makes it  impossible
to pinpoint  when this decline in  DDT pollution  oc-
curred. The typically  small DDT  residues in samples
from drainage basins  north  of  San  Francisco  Bay
remained about the same  throughout  the monitoring
period.
         TABLE B-l.—Summary of data on organochlorine residues in the monitored species, 1966-72—California
STATION
NUMBER
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21

LOCATION
Hedionda Lagoon
Anaheim Slough
Point Mugu
Baywood Park
Los Osos Creek
Elkhorn Slough
Coyote Point
Guadalupe Slough
Alviso Slough
West Island
False River
Napa River
Petal uma River
Point San Quentin
Bolinas Lagoon
Schooner Bay
Berries Bar
Tomales Bay
Nicks Cove
Gunther Island
Bird Island
Occasional stations (15)
MONITORINC
PERIOD
1967-72
1967-72
1967-72
1966-72
1966-72
1966-72
1966-72
1968-72
1968-72
1967-72
1967-71
1968-72
1968-72
1966-70
1966-68
1966-72
1966-68
1966-72
1966-68
1966-72
1966-68
1966-72
PRINCIPAL
MOM ITORED
SPECIES
M. edulls
M, edulis
M. edulis
C. glgas
C. glgas
C. gigas
O. lurida
M. dtmtssus
M. demlssus
C. flumlnea
C. fluminea
M, demlssus
M. demlssus
C. glgas
C. glgas
C. gigas
C. gigas
C. glgas
C. glgas
C. glgas
C. glgas
Mixed
Total number of samples
Percent of samples positive for indicated compound
NUMBER OF
SAMPLES '
31
33
29
52
52
57
55
27
28
28
26
28
28
50
17
33
27
34
25
33
25
54
772

NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (0o/Ko)
DDT
31 (3,970)
33 (833)
29 (1,758)
52 (601)
52 (412)
57 (2,305)
54 (362)
25 (407)
28 (328)
28 (2,280)
26 (1,850)
26 (210)
25 (268)
49 (440)
14 (45)
25 (43)
25 (44)
28 (45)
20 (37)
31 (78)
3 (T)
51 (1,144)

92
DlELDRIN
4 (T)
10 (31)
9 (16)
3 (24)
4 (27)
24 (57)
26 (43)
9 (37)
6 (25)
23 (22)
12 (24)
5 (T)
4 (10)
22 (23)

2 (T)

2 (T)

5 (T)

25 (26)

25
ENDRIN

I (T)
1 (T)


2 (19)
2 (19)


3 (T)
1 (18)
2 (T)




1 (19)
1 (T)





2
TOXAPHENE
2 (11,000)




















2 (1,000)

<1
PCB'S »
2
2
2

1
2
1
I
1
1

I
1


1



1

4

3
NOTE: T = >5 but <10 ppb.
1 Each sample represents 15 or more mature mollusks.
1 Present but not quantified.

    TABLE fl-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                                collection—California
        [Blank = no sample collected; — = no residue detected above 5 ppb or no residue detected (PCB's); T = >5 but <10 ppb]




RESIDUES IN PPB (iia/no)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
STATION 1.— HEDIONDA LAGOON— M. EDULIS UNLESS OTHERWISE INDICATED— 31 SAMPLES
1967



DDE
TDE
DDT
Toxaphene
100
72
130
—
Nov.
1
= 130
240
3,600
11,000
DEC.

'90
84
740
970
250
                      PESTICIDES MONITORING JOURNAL

-------
   TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—California—Continued
YEAR
COMPOUND
RESIDUES IN PPB (IIO/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG.
SEP.T. OCT. Nov. DEC.
        STATION 1.—HEDIONDA LAGOON—M. EDULIS, UNLESS OTHERWISE INDICATED—31 SAMPLES »—Continued
1968


1969


1970



1971




1972




DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
PCB's
DDE
TDE
DDT
Dieldrin
PCB's
130 52 200 210 91 130 120 168 » 105 120 136
73 31 88 220 103 154 80 171 74 73 58
920 200 440 300 42 86 59 129 63 120 164
52 211 • 242 118 227 95 139 347 466 76
_ 207 101 172 124 53 35 99 115 64
123 291 486 214 99 91 34 61 68 108
114
102
54
T
19 36 54 18
11 58 56 13
16 T 285 10
•j- 	 	 	
	 	 	 «)
14 31
T 31
10 10
T T
— «>
             STATION 2.—ANAHEIM  SLOUGH—M.  EDVL1S, UNLESS  OTHERWISE INDICATED—33 SAMPLES"
1967


1968




1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
DDE
TDE
DDT



270 6 HO a 170 310 464 203
91 45 62 110 186 102
160 43 110 77 108 52
— 31 — — — T
______
157 273 127 51 388 547
37 55 — 136 172 189
123 217 94 222 131 97
157
49
38
360
100
85
265 432 M64 440
68 109 127 170
33 51 65 110
T - - 12
T _ _ _
323 466 451 168
107 115 107 129
37 60 64 282



330
150
120
354
118
70
—
—
494
130
88
305
126
10
200
87
120











VOL. 6, No. 4, MARCH 1973
                                                                                                             251

-------
     TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                         collection—California—Continued
YEAR
COMPOUND
RESIDUES IN PPB (AC/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY Auo.
SEPT. OCT. Nov. DEC.
         STATION 2.—ANAHEIM SLOUGH—M. EDULIS, UNLESS OTHERWISE INDICATED—33 SAMPLES1—Continued
1971




1972




DDE
TDE
DDT
Dieldrin
PCB's
DDE
TDE
DDT
Dieldrin
PCB's
75 103 185
53 164 101
23 T 22
T T T
— — —
64 80
24 53
18 10
T T
	 (i)
92
41
10
T
<»





                STATION 3.—POINT MUGU—M. EDULIS,  UNLESS OTHERWISE INDICATED—29 SAMPLES'
1967



1968




1969


1970


1971




1972




DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
PCB's
DDE
TDE
DDT
Dieldrin
PCB's
130 160 220
150 230 280
270 440 650
— — T
250 200 »370 170 366 207 255 465 » 269 360
230 210 350 180 494 168 65 388 278 443
460 340 790 430 749 363 32 432 566 955
— — 16 — — — T — — T
--------- *
226 560 334 365 '273 "298 • 918 « 349 112
121 — 301 63 31 116 117 34 146
161 391 248 120 92 40 580 176 185
•238
141
56
« 49 '65 "22 • 1 12
24 73 T 50
45 11 — 20
T T — T
	 -_ 	 (4)
» 37 ' 24
12 10
T 10
T T
	 (I)
252
                                                                               PESTICIDES MONITORING JOURNAL

-------
    TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—California—Continued
YEAR
COMPOUND
RESIDUES IN PPB (JIC/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY Auo. SEPT. OCT.
Nov. DEC.
                             STATION 4.—BAYWOOD PARK—C.  GIGAS—52  SAMPLES »
1966



1967


1968


1969


1970


1971


1972



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
54
26
25
—
110
29
58
96
24
25
123
23
24






33
12
T
T
74
34
25
—
110
42
73
43
13
13
111
38
164
220
74
69







82
35
26
—
62
50
96
40
T
30
139
—
131
226
87
64







75
25
20
24
130
47
130
160
40
61
180
70
351
215
58
46







76 52 55 62
32 19 22 25
24 14 — 18
16 — — —
80 120 51 82
34 49 29 40
67 70 37 49
48 49 48 48
17 19 — 13
— T T T
148 119 110
57 40 57
189 150 43
56
21
—
22
11
—




59 69 69
35 34 33
26 24 25
— — —
55 48 35
23 21 10
46 26 15
44 74
— —
— —
97 165 184
31 53 70
31 58 64



21
16
10




100
37
46
—
46
13
10



162
75
69










               STATION 5.—LOS OSOS CREEK—C. GIGAS, UNLESS OTHERWISE INDICATED—52 SAMPLES1
1966 DDE
TDE
DDT
Dieldrin
1967 DDE
TDE
DDT
1968 DDE
TDE
DDT
1969 DDE
TDE
DDT
83 -
33
23
—
62 ;
29
41
100
32
37
66
T
T
58
27
21
—
120
47
96
61
21
21
70
37
72
43
17
14
—
63
43
130
42
13
T
126
—
131
88
39
30
27
110
42
120
70
24
36
104
56
239
65
25
20
10
93
57
92
'65
T
T
155
61
183
40
16
—
—
130
56
80
42
T
—
144
80
188
43
16
—
—
64
46
52
31
—
T
201
83
128
53
22
14
—
81
44
49
25
11
—



73
34
23
—
56
33
72
55
T
—
115
43
34
10
27
23
—
43
20
25



223
72
93
71 72
33 31
25 37
_ _
37 29
14 10
20 12
69
	
—
137
51
35
VOL. 6, No. 4, MARCH 1973
                                                                                                            253

-------
     TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                          collection—California—Continued
YEAR
COMPOUND
RESIDUES IN PPB (AG/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT.
OCT. Nov.
DEC.
            STATION 5.—LOS OSOS CREEK—C. G1GAS, UNLESS OTHERWISE INDICATED—52 SAMPLES *—Continued
1970


1971


1972




DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
PCB's
186 182 221 63
60 54 70 13
53 50 41 —
29 25
15 21
T 10
30 12
12 T
T 10
T T
— «>
              STATION 6.—ELKHORN SLOUGH—C. GIG AS, UNLESS OTHERWISE INDICATED—57 SAMPLES'
1966



1967



1968




1969


1970




1971




DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
En drill
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
Dieldrin
PCB's
160
160
250
—
200
160
260
26
260
160
250
13
—
178
102
120
208
173
204
—
—





220
220
290
19
220
230
440
25
130
85
97
—
—
191
338
441
230
300
444
—
—
'67
37
72
—
—
96
120
110
11
200
200
390
29
120
92
61
—
—
126
156
346
445
582
808
—
—





96
110
96
20
230
260
690
30
170
160
230
—
—
280
393
808
270
285
491
—
—





89 88
95 82
85 65
18 —
210 300
340 390
860 920
39 33
214
212
411
—
—
215 324
223 253
304 96
353 325
276 236
411 375
— —
— —
'29
24
10
T
—
86 72
79 77
64 55
— —
160 200
200 260
390 500
10 10
173 122
129 70
237 159
27 —
19 —
424
358
704





7 43
7i
—
—
—
79 84 130
66 65 77
41 56 76
— 10 —
190 62 190
210 55 150
390 110 340
15 — 14
168 95
100 71
200 113
— —
— —
1413 237
502 171
630 284
'31
19
26
T
T
'28
37
17
11
u>
190
160
210
30
250
230
370
17
65
63
110
—
—
191
117
189










254
                                                                                 PESTICIDES MONITORING JOURNAL

-------
    TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                         collection—California—Continued
YPAB



RESIDUES IN PPB (/IO/KO)
JAN. FEB. MAR.
APR. MAY JUNE JULY Auo. SEPT. OCT. Nov. DEC.
STATION 6.— ELKHORN SLOUGH— C. GIGAS, UNLESS OTHERWISE INDICATED— 57 SAMPLES i— Continued
1972




DDE
TDE
DDT
Dieldrin
PCB's
'42
25
36
T
—
TT
T
10
57
u>
                               STATION 7.—COYOTE POINT—O. LURWA—S5 SAMPLES >
1966



1967




1968




1969


1*70


1971




1972




DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
DDE
TDE
DDT
DDE

TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
PCB's
54 93 42
74 120 54
63 100 43
— 27 20
41 49 51
60 68 74
58 72 79
26 26 28
— _ _
44 59 47
57 95 69
53 100 84
13 — 18
— — —
81 52 172
46 — —
48 158 171
18 33 102
33 55 102
33 42 87
17

67
47
T
15
32
53
T
—
71 71 47
88 91 66
70 74 4«
29 23 —
61 65 52
82 76 78
89 69 70
23 21 25
— — 19
47 46 27
71 103 41
89 103 45
20 — —
10 — —
25 — 65
— 89 87
— 176 88
93 37 33
100 — 50
76 42 24





T
T
T
T
U)
30 35 50 42 33
38 46 65 71 51
39 42 55 62 40
— — — 21 15
51 47 39 33 46
84 58 58 37 86
80 50 50 43 110
17 43 13 — 16
_____
42 — 30 33
57 — 57 69
60 — 56 58
10 — — —
— — — _
34 163 36 52
38 99 T 78
33 100 39 59




14
24
24
T





63
79
75
21
46
84
51
16
—





24
30
26













VOL. 6, No. 4, MARCH 1973
                                                                                                             255

-------
    TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—California—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/io/ro)
JAN. FEB. MAR. APR. MAY JUNE JULY Auo. SEPT. OCT.
Nov.
DEC.
                           STATION 8.—GUADALUPE SLOUGH—M. DEMISSUS—21 SAMPLES1
1968 DDE
TDE
DDT
Dieldrin
1969 DDE
TDE
DDT
1970

1971 DDE
TDE
DDT
Dieldrin
1972 DDE
TDE
DDT
Dieldrin
PCB's
36 77
90 180
110 150
18 23
— — 34
42 — —
— — —


T
40
28
T
11
12
10
T
—
48 74 67 34
100 185 140 68
60 91 130 34
14 — 14 —
70 26 11 10
— 27 108 22
— — 204 T

	 	 No Samples Collected 	
T
26
10
T
T
T
10
T
(i)
24 19 24 34 T
53 57 58" T 24
T 40 26 — T
— — — — —
24 — 29
34 48 50
T T T


— T
— T
— 10
— 37





                              STATION 9.—ALVISO SLOUGH—M. DEM1SSUS—28 SAMPLES '
1968



1969


1970


1971



1972




DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
PCB's
43
140
93
18
38 —
59 61
— —
42
76
33
13
38
17
—
T
T
10
T
—
46 69 74 47 26 28 18 11 — 13
59 170 169 95 72 80 45 79 T 30
78 77 85 66 35 34 35 11 T 27
1225 — — — — — — — —
55 98 52 12 17 30 — 39
55 — 73 161 42 45 56 27
88 — 108 111 T 20 T T



T - T
15 T T
T - 10
T — —
T
T
10
T
<«
256
                                                                                PESTICIDES MONITORING JOURNAL

-------
    TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—California—Continued
YEA*
COMPOUND
RESIDUES IN PPB (/JO/KO)
JAN. FEB. MAX. APX. MAY JUNE JULY Auo. SEPT. OCT.
Nov. DEC.
                              STATION 10.—WEST ISLAND—C. FLUMINEA—28 SAMPLES »
1967 DDE
TDE
DDT
Dieldrin
Endrin
1968 DDE
TDE
DDT
Dieldrin
1969 DDE
TDE
DDT
1Q7fl
jy /u
1971 DDE
TDE
DDT
Dieldrin
1972 DDE
TDE
DDT
Dieldrin
PCB's
280 330 320 270 320 230
250 370 350 250 250 210
210 300 310 250 260 270
20 20 22 17 12 18
T T T — — —
390 500 280 370 251 196
290 400 200 220 224 183
240 290 190 210 320 223
16 22 15 16 — 21
177
—
168

198
126
173
T
11 T
10 T
10 10
— T
	 (4)
170 140 170 180 690 390
130 93 150 150 490 310
150 130 230 270 1,100 770
T 15 20 10 20 18
______
134 104 41 71
160 182 97 138
150 235 150 184
19 13 — —



||__i—-I
ucctcu 	 	 •-
91 15
71 T
111 —
T T

*



                              STATION 11.—FALSE RIVER—C. FLVMINEA—26 SAMPLES1
1967



1968




1969

1970

DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT

470
410
970
24
470 500 340 330
400 590 230 230
220 420 200 190
17 22 19 23
18 — — —
151 54
152 66
378 167

460
320
910
19
315
281
312
—
—
93
75
214
	 No ;

320
200
640
20
199
167
225
—
—
41
47
46

-------
   TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                       collection—California—Continued
YEA*
COMPOUND
RESIDUES IN PPB (/to/xo)
JAN. FEB. MAX. AM. MAY JUNE JULY Auo. SEPT. OCT. Nov. DEC.
STATION 11.— FALSE RIVER— C. FLUMINEA—26 SAMPLES >— Continued
1971
DDE
TDE
DDT
Dieldrin
21
41
20
T
                                 STATION 12.—NAPA RIVER—M. DEMISSUS—2S SAMPLES»
1968


1969


1970




1971




1972




DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
Dieldrin
PCB's
T 25
22 46
T 26
10 — 100
30 — 48
T — —
11
33
T
—
—
27
143
41
T
T
T
21
23
T
—
21 24 23 IS 21 18 T
72 100 83 38 42 62 24
39 45 47 — 23 18 T
62 — 10 13 T — T 12
— — 24 45 30 58 24 37
— — T T T — T T
16
93
46
T
T
13 T T
68 T T
10 T T
T — —
_ _ —
T
T
10
T
«>
                            STATION 13.—PETALUMA RIVER—M. DEMISSVS—28 SAMPLES»
1968 DDE
TDE
DDT
1969 DDE
TDE
DDT
1970 DDE
TDE
DDT
Dieldrin
— 27 27 26 47 19
— 58 63 72 104 35
— 15 19 31 41 T
T — 124 49 12 T 17
T — 37 — 28 T 38
_ — — — — T T
T
T
T
—
— — 92
T 13 68
— — 108
— — 22 10
— 57 37 22
— — T T
28
71
26
10
258
                                                                              PESTICIDES MONITORING JOURNAL

-------
    TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—California—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/UJ/KO)
JAN. FEB. MAR.
STATION 13— PETALUMA
1971



1972




DDE
TDE
DDT
Dieldiin
DDE
TDE
DDT
Dieldrin
PCB's
T
18
10
T
T
T
10
T
—
APR. MAY JUNE JULY AUG. SEPT. OCT.
RIVER— M. DEMISSVS—2S SAMPLES "—Continued
T —
24 T
T —
— —
T
T
10
T
U)
Nov. DEC.

T
T
—
—





                            STATION 14.—POINT SAN QUENTIN—C. GIG AS—50 SAMPLES'
1966



1967



1968



1969


1970


DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
12
20
14
—
52
130
88
23
43
79
44
12
74
80
130
18
18
T
30
37
12
—
34
65
49
11
44
96
89
17
53
149
193
19
T
T
47
60
19
—
30
59
49
15
43
78
67
17
62
134
76
54
31
37
52
83
23
14
42
75
70
19
43
97
63
12
47
—
182
66
64
45
69
120
45
20
23
55
34
13
36
95
69
—
143
143
154
51
39
23
59
92
38
—
39
85
64
21
59
110
100
—
25
54
24



37
47
24
—
45
120
89
19
59
110
100
12
13
23
T



52
82
43
—
53
130
63
17
25
60
T
—
30
41
T



57 51 55
90 88 84
49 33 40
— 11 15
30 31 100
74 68 50
38 36 85
11 — 10
38
86
52
—
— —
— 55
— 32



55
110
98
20
45
84
45
11
40
120
82
18
31
51
26



                              STATION 15.—BOLINAS LAGOON—C. GIGAS—17 SAMPLES1
1966


1967


DDE
TDE
DDT
DDE
TDE
DDT
10 T
— T
— —
T T 10 10 11 T 11 13 — T
11 13 16 17 16 14 21 20 — 15
T T T 11 14 12 13 U — n
T
10
—
T
11
—

—
—
T
T
—
VOL. 6, No. 4, MARCH 1973
                                                                                                             259

-------
    TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—California—Continued
YEA»

COMPOUND

RESIDUES IN PPB (po/m)
JAN. FEB. MA». Aw. MAY JUNE JULY Auo. SEPT. OCT. Nov. DEC.
STATION 15.— BOLINAS LAGOON— C. GIGAS—ll SAMPLES *— Continued
1968


DDE
TDE
DDT
—
—
—
                               STATION 16.—SCHOONER BAY—C. G1GAS—33 SAMPLES»
1966


1967


1968

1OJGQ
i"oy
1970


1971



1972




DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
PCB's
— T T — T T T T — T T —
— — T — T — — — — T T —
— — — — — — ______
T T 10 11 T 11 T IS — — T —
— — T 13 13 13 T 18 — — — —
_ — — 10 — T — 10 — — — —
—
—
—
11 10
T 11
T no
14 T T T
16 T T T
10 T T 10
T — — —
T T
T T
10 10
— T
	 «>
                                STATION 17.—BERRIES BAR—C. GIGA5—Z1 SAMPLES »
1966


1967


DDE
TDE
DDT
DDE
TDE
DDT
— 13
— 15
— T
T 11
T 14
_ —
T
T
—
17
20
T
10
17
—
14
18
10
13
16
T
16
17
11
10
10
—
12
14
10
17
13
—
13
15
T
II
11
—
T
12
—
12
T
—
13
16
10
T
T
—
15
18
T
T 11
T 10
— —
14 T
17 T
T —
260
                                                                               PESTICIDES MONITORING JOURNAL

-------
    TABLE B-2,—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                         collection—California—Continued


RESIDUES IN PPB (/US/KG)
JAN. FEB. MAR. APR.
STATION 17— BERRIES BAR— C.
1968 DDE
TDE
DDT
Endrin
— 12
— 13
— T
19 —
MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
GIG AS— 21 SAMPLES >— Continued
17
14
—
—
                                STATION 18.—TOMALES BAY—C. G1GAS—34 SAMPLES >
1966


1967


1968


1969


1970




1971


1972



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
T T — — T — 14 11 14 14 T T
— T — — 11 — T T 11 12 — —
____T-------
T 12 11 11 T 11 T T T — 11 —
— T T 12 T 14 T — — — T —
T 10 TUT 13 T — — — T —
— 11 T
— — T
— 10 —
22 T
T T
18 T
T
T
10
T
T
12 T T
T T T
10 10 10
T
T
10
T
                                STATION 19.—NICKS COVE—C. GIGAS—25 SAMPLES'
1966


1967


DDE
TDE
DDT
DDE
TDE
DDT
— 12
	 T
— T
12 13
T 10
T 11
11 —
— —
— —
13 14
12 12
T 11
T
—
—
10
T
T
T
—
—
T
T
T
11 11
— T
— —
11 T
T —
T —
T T T
__. _^ «•*
— — —
T - 14
T — _
— — —
T
	
—

_
—
VOL. 6, No. 4, MARCH 1973
                                                                                                             261

-------
    TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                         collection—California—Continued.
YEAR



RESIDUES IN PPB (/m/io)
JAN. FEB. MA*. Am. MAY JUNE JULY Auo. SEPT. OCT. Nov. DEC.
STATION 19— NICKS COVE— C. G1GAS—25 SAMPLES »— Continued
1968


DDE
TDE
DDT
—
—
—
                               STATION 20.—OUNTHER ISLAND—C. GIG AS—33 SAMPLES »
1966


1967

•
1968

1OAQ
lyW
1970



1971



1972




DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
PCB's
— — — — — T 11TTTTT
— — — — — T 17 — 21TTT
T 10 — 47 11 14 — 11 — 18 14 20
10TTTTT T T — T T T
T — — T — T T — T T T T
30 28 12 19 19 19 24 12 16 15 21 22
— 13
— 11
— 54
	 - 	 -- 	 No Samples Collected 	 	 	 • 	
11
11
10
T
T T T T
13 T — T
17 10 — 10
T T - T
T T
T T
10 10
— I
	 (4)
 1966
1967
DDE

TDE

DDT


DDE

TDE

DDT
                                 STATION 21.—BIRD ISLAND—C. GIG AS—2! SAMPLES'
262
                                                                               PESTICIDES  MONITORING JOURNAL

-------
    TABLE B-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                         collection—California—Continued
YEAR
COMPOUND
RESIDUES IN PPB (^G/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                            STATION 21—BIRD ISLAND—C. GIG AS—25 SAMPLES '—Continued
1968


DDE
TDE
DDT
—
—
—
'  Each sample represents 15 or more mature mollusks.
1  DDE, TDE, and DDT values approximated because of presence of toxaphene.
•'  C. gigas.
'  Present but not quantified.
           - M. demissus.
           « M. calijornianus.
           1 M. edulis.
SECTION C.—DELAWARE
Samples were collected at  nine  stations  at  monthly
intervals  during the  period  October  1966    August
1969.   The   eastern   oyster   (Crassostrea   rirginica)
ribbed  mussel  (Modiolus  demissus),  and  hard  clam
(Mercenaria mercenaria) were each collected at  three
stations. All samples were  analyzed at  the Gulf Breeze
Laboratory. The approximate  locations of the stations
are shown in  Fig.-C-l. The Cape Henlopen station was
in Delaware Bay; the other stations were adjacent to the
Bay but  exposed  primarily  to the runoff from  large
agricultural areas  in separate drainage basins.  A  sum-
mary of data on organochlorine residues  in the moni-
tored species is presented in Table C-l,  and the distribu-
tion of  residues  in these  species  for  each  sampling
station by date of collection in Table C-2.

The use of three  different  species  for monitoring ob-
scured pollution  patterns in Delaware estuaries to  some
extent. The relative inefficiency of  hard clams in storing
organochlorine residues makes Rehoboth Bay  (Stations
7 and  8) appear to be generally free from this type of
pollution.  The   first  samples  of  clams  collected  in
adjacent Indian  River  Bay  (Station 9)  also  were  free
of detectable residues; however, subsequent monitoring
using the ribbed mussel, showed Indian River Bay  to be
moderately but  continuously polluted.  It  is  probable
that Rehoboth Bay was similarly  polluted  during the
monitorjng period.  This  same reasoning suggests that the
waters at Cape Henlopen were continually more polluted
with DDT  than  the small  residues in  the hard clams
would imply.

The magnitude  of  DDT residues  in clams and  oysters
showed no trend towards increased or  decreased levels
during the 3-year monitoring period. In ribbed mussels.
however, there was a marked decline in  the average level

VOL. 6, No. 4, MARCH  1973
of residues in the final year at Stations 1 and  2 as well
as Station 9. Delaware monitoring samples ranked 6th
in frequency and 10th in magnitude of  DDT residues
in comparison  with  the other  14 States. The 13% inci-
dence of dieldrin residues was about the average for all
States.
                                        0       10 mi
  FIGURE C-l.—Diagram of coastal Delaware showing
       approximate location of monitoring stations
            I  Leipsic River
           2.  Simons River
           3.  Bowers Beach—Murderkill River
           4.  Mispillion River
           5.  Broadkill River
           6.  Cape Henlopen—Delaware Bay
           7.  Thompson  Island—Rehoboth Bay
           8.  Arrowhead Point—Rehoboth Bay
           9.  West Gables—Indian River Bay
                                                                                                             263

-------
         TABLE C-l.—Summary of data on organochlorine residues in the monitored species,  1966-69—Delaware
STATION
NUMBER
1
2
3
4
5
6
7
8
9
LOCATION
Leipsic River
Simons River
Bowers Beach
Mispillion River
Broadkill River
Cape Henlopen
Thompson Island
Arrowhead Point
West Gables
MONITORING
PERIOD
1967-69
1967-69
1966-69
1966-69
1966-69
1966-69
1966-69
1966-69
1966-69
Total number of samples
Percent positive for indicated compound
PRINCIPAL
MONITORED
SPECIES
M. demissus
M. demissus
C. virginica
C. virginica
C. virginica
M. mercenaria
M. mercenaria
M. mercenaria
M. demissus


NUMBER OF
SAMPLES '
27
25
34
35
34
32
33
34
33
287

NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (^O/KO)
DDT
23 (156)
23 (205)
34 (172)
33 (90)
34 (90)
30 (65)
5 (16)
4 (35)
30 (96)

75
DlELDRIN
4 (13)
6 (19)
25 (25)
2 (10)






13
  Each  sample represents 15  or more mature  mollusks.
     TABLE C-2-—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                                 collection—Delaware
                     1 Blank - no sample collected; — = no residue detected above 5 ppb; T = >5 but <10 ppb]
YEAR
COMPOUND
RESIDUES IN PPB (^O/'KO)
JAN. FEB. MAR.
APR.
MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                STATION 1.—LEIPSIC RIVER—M. DEMISSVS—V SAMPLES'
1967



196S


1969


DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
12 25
11 53
__ T
— 10
27 30
68 69
17 17
— - T 15
— — 14 18
— —
26 47
46 91
12 18
13 —
32 26
91 41
14 —
T —
T —
— —
33
77
23
10
33
45
22
17
33
19
21 17 22 18 32
51 47 29 47 77
51 47 — T 17
— 10 — — —
T 12 23 19
20 18 29 37
— — T 18
—
-
—
                                 STATION 2.—SIMONS RIVER—M. DEMISSUS—25 SAMPLES'
1967



1968



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
13 17
43 37
_
-
28
65
18
—
31
65
15
15
23
78
39
—
31 43
150 89
24 19
19 12
39
100
16
10
37 25
79 47
28 38
T —
23
30
—
—
18
88
29
12
— 20
— 26
— 22
— —
29
75
18
-
11
16
-
—
29
66
16
—




264
                                                                                    PESTICIDES  MONITORING  JOURNAL

-------
    TABLE C-2—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                         collection—Delaware—Continued




RESIDUES IN
JAN. FEB.
MAR
STATION 2.— SIMONS
1969


DDE
TDE
DDT
— 13
— 22
- —
T
T
—
APR.
RIVER— M.
21
23
-
MAY
JUNE
DEMISSVS— 25
14
19
-
21
29
24
PPB OG/KG)
JULY AUG. SEPT. OCT. Nov. DEC.
SAMPLES !— Continued
13 21
26. 35
26 31
                              STATION 3.—BOWERS BEACH—C. VIRGIN 1C A—34 SAMPLES '
1966



1967



1968



1969



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin




27 25 «> I2> 42 43
35 26 <2> «> 65 70
	 	 (21 (21 T 10
18 14 20 25 24 18
50 46 48 52 66 75
56 42 47 48 73 78
T - T — 10 T
12 13 14 15 12 16
52 48 42 49 41 79
37 47 36 39 39 70
— — — - — 20
14 15 11 — II _




41 40 40 42
66 64 56 98
24 68 17 25
11 13 16 16
82 49 41 52
53 34 32 44
25 T T 13
- — - —
60 39
57 29
29 11
— -
25
29
—
16
41
51
14
13
57
57
18
16




19
17
—
—
32
38
10
15
41
35
T
15




                            STATION 4.—MISPILLION RIVER—C. V1RGIN1CA—35 SAMPLES '
1966


1967



1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
31 21 22
27 24 24
15 —
17 24 <=< 25 35 23 22 16 20 T 32 27
18 22 '=> 31 41 26 30 20 23 44 36 32
- - - T 11 T T _ T
— — 10 — 10 — ______
23 28 Lost 41 39 39 47 34 32 25 39 3g
40 31 40 36 34 33 23 25 18 32 27
T — 15 ________
40 50 36 29 36 26 35 28
29 31 28 25 32 26 22 20
— — - — ____
VOL. 6, No. 4, MARCH  1973
                                                                                                              265

-------
    TABLE C-2—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—Delaware—Continued
YEAH
COMPOUND
RESIDUES IN PPB (/IO/KO)
JAN.
FEB. MAR. APR. MAY JUNE JULY Auo.
SEPT.
OCT.
Nov. DEC.
                           STATION J.—BROADK1LL RIVER—C. VIRG1NICA—34 SAMPLES »
1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



28 18 23
23 11 17
- — -
25 29 23
21 22 16
— — -
40 38 43
24 28 26
— — —



17 23 24
13 18 21
— — T
32 39 43
21 45 32
- , — —
41 39 42
20 28 28
— — —
18
20
T
16 30 27 35
19 30 27 27
T 16 11 T
36 48 37 31
20 32 25 22
_ _ _ _
43 35
24 15
—
22
17
—
35
31
T
44
33
—






37
33
T
51
39
— t



                           STATION 6.—CAPE  HENLOPEN—M.  MERCENARIA—32  SAMPLES'
1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
.DDT
12
11
-
12 13 — <" 14 12 20 12 T 14 16 16
16 12 — «> 14 14 24 14 T 13 15 15
___«>________
13 15 18 18 78 39 25 25 19 13 T 21
12 14 14 15 24 26 16 15 12 T T 11
____________
12 14 22 Lost 16 19 22 35
— — T 11 T 10 20
— — — — — — —
                          STATION 7.—THOMPSON ISLAND—M. MERCENAR1A—33 SAMPLES »
1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
— T
T 11
T —
T _ T T — ______
-T- 	 	 -J- 	 	 	 	 	 	 	
	 	 	 	 -J- 	 	 	 	 	 	 	
____________
______ ______
— — — — — — — — — — — —
266
                                                                             PESTICIDES MONITORING JOURNAL

-------
    TABLE C-2—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                           collection—Delaware—Continued
YEAR



RESIDUES IN PPB (/iG/Ko)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 7.— THOMPSON ISLAND— M. MERC EN ARIA— 33 SAMPLES '—Continued
1969



1966


1967


1968


1969


DDE
TDE
DDT

DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
— 	 ___ — — _
________
________
STATION 8.— ARROWHEAD POINT— M. MERCENARIA— 34 SAMPLES 1
— — T
24 — T
11 — —
	 (2) f 	 	 	 	 	 	 	 	
	 (21 1" 	 	 	 	 	 	 . 	 	
	 (2) 	 	 _ 	 	 	 	 	 	
_. ___ 	 _ ______
______ ______
— — — — — — ______
______ _
______ __
— — — — — — — —
                STATION 9.—WEST GABLES—M. DEMISSUS UNLESS OTHERWISE INDICATED—33 SAMPLES l
1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



11
25
32
19
29
21
10
14
—



18
37
19
24 18
35 28
30 22
16 13
16 17
— —



17
32
14
20
32
26
16
20
T



22
33
24
18
30
23
17
22
10



19
24
13
23
37
36
21
27
T



15 18
21 29
14 41
T T
11 T
•j- 	
13 »11
18 T
11 —
(3) • (3)
_ _
- -
13 19 19 21
13 29 30 33
21 21 22 26
— T 12 13
— T 16 18
- — T —



1 Each sample represents 15 or more mature mollusks.
3 Present but not quantified.
3 M. merceparia.
VOL. 6, No. 4, MARCH 1973
                                                                                                                  267

-------
SECTION D.—FLORIDA
Investigation  of  the effects of  pesticide pollution  on
estuarine  fauna in  Florida  was  initiated at  the  Gulf
Breeze Laboratory,  Gulf Breeze,  Fla.,  in  1959. During
the next 5 years, sufficient headway in the understand-
ing of uptake and flushing rates of persistent synthetic
compounds as  well as  the technology  for handling
samples made a continuing monitoring program feasible.
Local  oysters  (Station  9,  East  Bay)  were analyzed
monthly during  1964,  and  the  concept of  a national
monitoring program was developed and implemented
in 1965. The eastern oyster, C.  virginica, was the only
species monitored in Florida; all samples were analyzed
at the Gulf Breeze  Laboratory. The approximate  loca-
tions of monitoring stations are shown in Fig. D-l.  A
"summary  of  data  on  organochlorine  residues  in the
monitored species,  C. virginica,  is presented in  Table
D-l, and the  distribution of residues in this species for
each sampling station  by date  of collection in  Table
D-2.

Oyster samples from Florida contained  the highest levels
of DDT residues and the most persistent contamination
with PCB's observed in the entire monitoring program.

The  polychlorinated  biphenyl,   Aroclor 1254®,  was
identified in studies  of estuarine fauna following a 1969
fish  kill in Escambia Bay, Fla.,  (8). Station  9 is about
25 miles from the presumed source of this PCB pollution
and is in a contiguous  but distinct drainage  basin.
Monitoring samples from this  station  contained  PCB
residues about one-third the magnitude  of  residues  in
Escambia  Bay oysters and continued to have residues  of
similar magnitude  for  at least  3 years  after the pre-
sumed primary source of PCB's  had been eliminated.

The trend in DDT residues is most clearly shown in the
Station 9 data.  Some  DDT had been  used in  this
geographic area for agricultural  purposes. However,  its
primary use  had  been  for the  control of stable-fly
larvae,  Stomoxys calcitrans, that develop  in seaweed
windrows  on  estuarine  beaches.  In 1969, methoxychlor
was  substituted for this purpose, and DDT  residues
virtually disappeared  from  all succeeding  monitoring
samples. Methoxychlor residues were  not detected in the
monitored samples. There are not  enough recent data to
determine DDT pollution trends in other estuaries along
the Florida  Gulf coast.
The  incidence of DDT in Florida samples  (62%) is
about the average for all States monitored. The incidence
of dieldrin  (7%) may be compared with the  average
incidence of 15% for all States.
   FIGURE D-l.—Diagram of coastal Florida showing
      approximate location of monitoring stations
          1. lona Point—Caloosahatchee River
          2. Charlotte Harbor—Peace River
          3. Coral Cove—Little Sarasota Bay
          4. Manatee River
          5. Crystal River
          6. Suwanee River
          7. St. Vincents Bar (North)—Apalachicola Bay
          8. St. Vincents Bar (South)—Apalachicola Bay
          9. East Bay—Blackwater River
   TABLE  D-l.—Summary of  data on organochlorine residues in the monitored species (C. Virginica), 1965-72—Florida
STATION
NUMBER
,
2
3
4
5
6
LOCATION
lona Point
Charlotte Harbor
Coral Cove
Manatee River
Crystal River
Suwanee River
MONITORING
PERIOD
1967-69
1966-69
1966-69
1966-69
1966-71
1966-69
NUMBER OF
SAMPLES '
31
31
32
32
43
32
NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (JIC/KO)
DDT
31 (5,390)
28 (338)
32 (129)
32 (159)
7 (27)
6 (22)
DIELDRIN
1 (11)
13 (271




PCB's '






268
                     PESTICIDES MONITORING JOURNAL

-------
       TABLE D-l.—Summary of data on organochlorine residues in the monitored species (C. Virginica), 1965-72—
                                                  Florida—Continued

STATION
NUMBER
7
8
9


LOCATION
St. Vincents Bar (North)
St. Vincents Bar (South)
East Bay
Occasional stations (21)

MONITORING
PERIOD
1966-67
1966-67
1965-72
1966-71
Total number of samples
Percent of samples positive for indicated compound

NUMBER OF
SAMPLES '
17
16
84
56
374

NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (/IG/KG)
DDT
12 (50)
10 (70)
46 (65)
26 (101)

62
DlELDRIN
3 (28)
3 (22)

7 (12)

7
PCB'S -


25 (390)


7
1  Each  sample represents 15 or  more  mature mollusks.
'  Calculated as Aroclor 1254®
TABLE D-2—Distribution of organochlorine residues in C. virginica for each sampling station by date of collection—Florida
        [Blank = no sample collected; -r- = no residue detected above 5 ppb or no residue detected (PCB's); T = >5 but <10 ppb]
YEAR
COMPOUND
RESIDUES IN PPB (#G/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                        STATION 1.—IONA POINT—31  SAMPLES1
1966


1967


1968



1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT



91 320
94 170
190 630
760 1 ,200
44 560
2,800 3,600
- —
710
1,400
1,700



930 1,450 290 110
760 705 310 200
3,700 2,550 350 68
1,100 1,500 780 340
580 560 390 310
2,300 , 1,200 650 220
- — — -
940
400
1,100
30 13 24 35
39 20 48 79
— — — 28
53 60 87 72 140
110 160 160 150 220
57 32 97 110 68
180 — T 77 84
190 T 16 160 120
33 — — 69 140
— — 11 — —



T
T
—
240
310
520
82
120
60
—



                                     STATION 2.—CHARLOTTE HARBOR—31  SAMPLES"
1966


1967



DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
T
10
-
83 14 15 39 18 30 13 T
85 20 24 33 27 43 20 13
170 T 13 — T 13 T —
— — — — — — 14 11
T 17
16 23
— 15
T —
T —
— —
19 —
— 52
— 91
— 41
T 18
11 28
— 21
— 15
VOL. 6, No. 4, MARCH 1973
                                                                                                                     269

-------
  TABLE D-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of collection—
                                               Florida—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IG/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                             STATION 2.—CHARLOTTE HARBOR—31 SAMPLES'—Continued
1968



1969


DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
19 23
22 2&
14 13
— 11
14
1*
—
18 34 27 22
18 36 29 18
— 20 16 10
— 18 11 —
17
22
12
20 — T — T T
26 T 17 — 11 T
1* 	 	 	 	 	
27 — 16 — 13 19



                                      STATION 3.—CORAL COVE—32 SAMPLES '
1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



34
28
12
29
30
10
30
38
T



26
23
12
27
30
14
41
40
20



24 25 20 24
22 26 21 21
T 13 T 10
21 35 49 39
14 36 43 40
— 13 37 49
36
40
15
24 T
21 —
- —
25 23 12
24 20 16
17 T T
31 19 20
26 16 23
32 22 14



10 25
T 33
	 -j-
16 13
16 10
T T
28 21
28 23
28 11



17
16
T
10
10
T
23
29
T



                                    STATION 4.—MANATEE RIVER—32 SAMPLES 1
1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



37 39
30 45
19 19
26 24
24 29
26 13
22 32
33 46
— 17



22 31 18 T
24 41 23 T
10 13 T —
18 42 16 18
30 65 19 61
10 22 T 25
24
26
T
23 37 25
39 47 33
— 13 11
19 21 23 33
20 42 46 59
T 20 17 13
31 16 18 18
88 37 38 16
40 T 13 —



T 30
T 33
— 12
34 13
45 14
14 14
17 24
19 27
— 14



270
PESTICIDES  MONITORING  JOURNAL

-------
  TABLE D-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of collection—
                                               Florida—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IG/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                    STATION 5.—CRYSTAL RIVER—43 SAMPLES1
1966


1967


1968


1969


1970


1971


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
_ 12 - — T —
_ _ _ — T —
— — — — — —
-T----T-- --
______ T — — — —
— — — — 13 — T — — — —
— — — T — 11 — ____
_ _ _ T - - - ____
_____16_ ____
_ _ _ _ _ — —
_ _ _ — — — —
— — — — — — —
_ _ _ _ _ _
______
______
— —
— —
— -
                                    STATION 6.—SUWANEE RIVER—32 SAMPLES1
1966


1967


1968


1969



1966



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT

DDE
TDE
DDT
Dieldrin
— T — — T —
— — — — T —
— — — — — —
— 12 T — — — — _ — ___
	 T T 	 	 	 	 	 	
— TT — 11 11 — _____
— — — — ___ 	 __ 	
— — — — — — — — ___
— — — — — — — — ___
— — —
_ — _
— — —
STATION 7.— ST. VINCENTS BAR (NORTH)— 17 SAMPLES1
T 16 T 14 — _ n T
T 19 T 15 - _ ,o T
_T_ _____
— 10— — — — __
VOL. 6, No. 4, MARCH 1973
                                                                                                             271

-------
  TABLE D-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of  collection—
                                               Florida—Continued

YEAR


COMPOUND

RESIDUES IN PPB (#G/KG)
JAN. FEB.
STATION 7.— ST.
1967



DDE
TDE
DDT
Dieldrin
T —
— —
— —
11 —
MAR. APR.
VINCENTS BAR
T
T
—
—
MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
(NORTH)— 17 SAMPLES J— Continued
22 T 13 — — T
23 T 10 — — —
T — T — — —
28 — — — — —
                               STATION 8.—ST. VINCENTS BAR (SOUTH)—16 SAMPLES »
1966 DDE
TDE
DDT
Dieldrin
1967 DDE
TDE
DDT
Dieldrin
18 25
21 30
— 15
— 13
T — 14 21 T
— — 13 22 T
— — — T 38
— — 15 22 —
17 — — — —
T — — — —
_ — — — —
— — — — —
13 T T —
12 T — —
T — — —
— — — —
                                       STATION 9.—EAST BAY—84 SAMPLES '
1965


1966


1967


1968


1969


1970



1971



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
PCB's •
DDE
TDE
DDT
PCB's «



12 13 13 17 26 24
— 14 — 15 24 19
— — — 15 15 14
T 18 21 18 18 12
— 18 17 22 24 13
— 14 16 15 15 —
16 12 17 22 15 15
15 20 — — — —
10 12 — — — —
T 16 11 — 13 14
T 14 10 — 13 —
_ T — — — —
— T — T — —
______
______
— — — — 380 180
— — — _ — —
______
______
160 160 200 220 230 390
19 T T
18 T T
13 T T
15 14 T
11 — —
— — —
20 T T
23 — —
18 — 10
— T 20
— T —
— — —
— — 10
— — T
— — 14
_ _ _
_ _ _
_ _ _
170 73 92
— — —
_ _ _
_ _ _
190 230 100
— T T
	 f 	
	 -J- 	
— T T
— — T
— — —
T T T
_ _ _
_ _ _
	 y 	
— — —
— — —
T — —
— — —
_ _ _
_ _ _
_ _ _
— — —
SO 55 140
_ _ _
_ _ _
_ _ _
55 120 —
272
PESTICIDES MONITORING JOURNAL

-------
 TABLE D-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of collection—
                                               Florida—Continued
YEAR
COMPOUND
RESIDUES IN PPB UO/KG)
JAN. FEB. MAK.
APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                  STATION 9.—EAST BAY—84 SAMPLES »—Continued
1972



DDE
TDE
DDT
PCB'S "
__ — — — —
__ — — — —
— — — — — —
50 82 140 160 190 300
1 Each sample represents 15 or more mature mollusks.
' Calculated as Aroclor 1254®.
SECTION E.—GEORGIA
Monthly collections of the eastern oyster (C. virginica)
were made at 11 estuarine areas  in Georgia during the
period  Febiuary  1967    June  1972. Analyses were
done  at the  Gulf  Breeze  Laboratory until September
1969,  and thereafter  at  the  Marine Institute  of  the
University of Georgia. The approximate  locations  of
monitoring stations  are shown in Fig. E-l.  A summary
of data on  organochlorine residues  in  the monitored
species, C. virginica, is presented in Table E-l, and the
distribution of residues in this  species for  each sampling
station  by date of  collection  in  Table E-2. The 15%
incidence of  DDT residues in Georgia samples was next
to the  lowest  of  all  States  monitored  (Washington,
lowest at 11%). The maximum level of DDT observed
was also next to the lowest of any of the  other States
monitored.  By  contrast,  the  largest dieldrin  residue
detected in  the nationwide program was  in  Georgia,
(230 ppb) and the incidence of dieldrin residues  (21% )
was  well above the average  incidence (15%)  for  all
States.
The occurrence of substantial  toxaphene residues in the
samples collected in St. Simons Sound was unexpected.
A special  sampling  program  was initiated in the area
that included the placement of trays  of oysters in creek
beds where oysters did not normally  occur. Analyses of
these  samples pinpointed  the  industrial  source  of the
toxaphene and precipitated a schedule for control of the
effluent discharge by the  manufacturer. The magnitude
of toxaphene residues  at Stations 8    1 1  illustrates well
the importance of dilution  (distance) in  the abatement
of pollution.

Polychlorinated  biphenyl  residues were  analyzed  for
beginning  in 1969. A  few  samples collected  in  the
Ogeechee and Satilla River basins contained residues of
Aroclor 1254'®, but the amounts were not quantified.

DDT residue levels were generally low and  there was an
approximate increase of  13%  in the  number of samples

VOL.  6, No.  4, MARCH 1973
with negligible residues  in  1971 as compared to earlier
years.  Stations  1  and 2 in the Savannah River  basin,
however, showed  a reversal of this trend in  1972 when
oysters contained  substantially higher residue levels than
in 1971.
           GEORGIA
                                   ATLANTIC OCEAN
   FIGURE E-l.—Diagram of coastal Georgia showing
       approximate location of  monitoring  stations
          I.  Lazeretta Creek—Savannah River Basin
          2.  Wilmington River—Savannah River Basin
          3.  Ogeechee River—Ogeechee River Basin
          4.  St. Catherine Sound—Ogeechee River Basin
          5.  Sapelo Sound—Ogeechee River Basin
          6.  Doboy Sound—Ogeechee River Basin
          7.  Egg Island—Altamaha River Basin
          8.  St. Simons Sound—Satilla River Basin
          9.  Terry Creek—Satilla  River Basin
         10,  Jekyll  Island—Satilla River Basin
         11,  Satilla River—Satilla  River Basin
                                                                                                              273

-------
   TABLE E-l—Summary  of data on organochlorine residues in the monitored species (C. virginica), 1967-72—Georgia
STV.TION
NUMBER
2
3
4
5
6
7
8
9
10
11

LOCATION
Lazerelta Creek
Wilmington River
Ogeechee River
St. Catherine Sound
Sapelo Sound
Doboy Sound
Egg Island
St. Simons Sound
Tei -y Creek
Jekyll Island
Satilla River
Occasional stations (2)
MONITORING
PERIOD
1967-72
1967-72
1967-72
1967-72
1967-72
1967-72
1967-72
1967-72
1967-70
1967-72
1967-72
1968-69
Total number of samples
Percent of samples positive for indicated compound
NUMBER OF
SAMPLES *
64
65
65
65
65
64
65
65
16
62
64
4
664

NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (AC/KG)
DDT
30 (96)
21 (86)
13 (50)
7 (15)
12 (50)
7 (27)
3 (52)
<3>
131
(3>
3 (15)
<3t

15
DFELDRIN
58 (230)
27 (90)
15 (26)
2 (T)
6 (12)
8 (14)
22 (23)
3 (T)





21
TOXAPHENE







64 (7,500)
16 (54,000)
37 (3,500)
8 (1,000)
3 (13,000)

19
PCB'S-'


1
1
2
1

2

8
1


2
NOTE: T = >5 but <10 ppb.
L Each sample represents 15 or more mature mollusks.
' Present but not quantified.
5 Presence of toxaphene prevented quantification of DDT and its metabolites.
TABLE E-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of collection—Georgia
 YEAR
           COMPOUND
                             JAN.
                                     FEB.
                                            M*R.
                                                     APR.
                                                            MAY
                                                                    JUNE
                                                                             JULY
                                                                                     AUG.
                                                                                             SEPT.
                                                                                                     OCT.
                                                                                                             Nov.
                                                                                                                     DEC.
                                                 RESIDUES IN PPB Ug/kg)
         [Blank = no sample collected; — = no residue detected above 5 ppb or no residue detected (PCB's); T = >5 but <10 ppb]

                                      STATION 1.—LAZERETTA CREEK—64 SAMPLES1
1967



1968



1969



1970



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
14
17
—
98
— 13
— 16
— —
22 42
— —
— —
— —
39 23
T 13
— —
— —
30 31
13
14
—
65
12
12
—
37
—
—
—
47
—
—
—
40
21
29
T
56
17
23
T
46
—
—
—
51
T
T
—
32
T T
13 11
— T
32 30
— —
— —
- —
— 20
— T
— 13
— —
16 35
T —
T —
— —
17 23
53 —
25 14
18 11
30 33
15 —
23 —
28 —
39 22
— —
— —
- -
28 23
— T
_ _
— —
80 T
— — — 12
— — — 16
— — — T
18 42 33 46
— — T
— — T
— — —
18 42 56
— — — T
— - — —
— — — —
20 180 230 20
— 23 — —
— — — —
- — — —
— - T T
 274
                                                                                       PESTICIDES  MONITORING JOURNAL

-------
  TABLE E-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of collection-
                                               Georgia—Continued
YEAR COMPOUND
JAN. FEB. MAS. APR.
MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
RESIDUES IN PPB (/ig/kg)
[Blank =: no sample collected; — = no residue detected above 5 ppb or no residue detected (PCB's); T = >5 but <10 ppb]
STATION 1.— LAZERETTA CREEK— 64 SAMPLES '—Continued
1971 DDE
TDE
DDT
Dieldrin
1972 DDE
TDE
DD1
Dieldrin
— — 20 —
_ _ _ _
_ _ _ _
19 i9 T 17
7 1 23 !8
T 14 12
Y r
15 13 T T
STATION 2. 	 WILMING
1967 DDE
TDE
DDT
Dieldrin
1968 DDE
TDE
DDT
Dieldrin
1969 DDE
TDE
DDT
Dieldrin
1970 DDE
TDE
DDT
Dieldrin
1971 DDE
TDE
DDT
Dieldrin
1972 : DDE
TDE
DDT
"M'eldrin
TIT
T T T
_ _ _
17 19 22
— — T T
_____
_ _ _ _
10 21 12 —
_ _ _ _
_ _ _ _
_ _ _ _
— — — 10
— 11 — T
	 	 	 T
— — — —
T T 10 25
— — 10 —
- - — —
_ _ _ _
T 12 12 T
T 12 15 12
— 13 T 11
— _ _ _
10 17 15 —
— — — — — T T —
	 	 	 	 y -j1 	
______ — —
13 10 -- T T — — 13
T T
T T
T
22 T
TON R.JYL-.R ..5 SAMPLES1
— — T 12 — -- — —
- — ,___ — —
_ _ ______
----- ______
— _ _ ._ _ — — _
__ _______
_ _ _____ — _ —
_________
	 	 	 	 	 	 	 	
	 	 	 	 	 	 	 	
	 	 	 	 	 	 	 	
— — — _ _ _ 90 T
— — — T 86 — — —
— — — — — 	 	 	
________
- T ______ T
— — - - T T T
— — — — — T T —
— — — — 	 	 	 	
T — — -.__ T T
T T
T T
T T
T T
VOL. 6, No. 4, MARCH 1973
                                                                                                              275

-------
  TABLE E-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of collection—
                                                 Georgia—Continued
YEAR
           COMPOUND
                           JAN.
                                   FEB.    MAE.    APR.    MAY    JUNE     JULY    Auo.    SEPT.    OCT.     Nov.    DEC.
                                               RESIDUES IN PPB (0g/kg)
        [Blank = no sample collected; — = no residue detected above 5 ppb or no residue detected (PCB's); T = >5 but <10 ppb]
                                     STATION 3.—OGEECHEE RIVER—65 SAMPLES *
1967



1968



1969




1970



1971



1972


DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
PCB's
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
T T T- — — T — — — T
T 10 — — — — ____T
— — _ — ______T
13 26 10 — — — — — — — —
— — 13 T — — — — — — — —
— — 13 11 — — — — — — — —
— — 24 	 	 	 	 	 	 	 	 	
— 18 16 — — — — — — — — —
— — — — 	 — — 	 	 	 — —
______ ______
______ ______
— — _T_ — — 16 — _ — T
	 	 	 	 	 _ 	 	 	 	 	 (!)
— 10 — — — — — T 12 — — —
____________
____________
T T T — — — — — — — — —
____________
____________
______ ______
— T T T — — 11 — — — — —
- - T — T T
	 	 	 	 	 f
______
                                   STATION 4.—ST. CATHERINE SOUND—65 SAMPLES »
           DDE
           TDE
           DDT

           DDE
           TDE
           DDT

           DDE
           TDE
           DDT
           PCB's
T
T
276
                                                                                   PESTICIDES MONITORING JOURNAL

-------
  TABLE E-2.—Distribution of organochlorine residues in C. virginica for each sampling station  by date of collection—
                                              Georgia—Continued
YEAR
COMPOUND
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
RESIDUES IN PPB (/ig/kg)
[Blank = no sample collected; — = no residue detected above 5 ppb or no residue detected (PCB's); T = >5 but <10 ppb]
STATION 4.— ST. CATHERINE SOUND— 65 SAMPLES "—Continued
1970


1971



1972


DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
______ ______
____________
— __ — — — — — — — — —
______ — ___ — —
____ — — — — — — — —
__________ _ _
_T_T — — — — — — — —
— — T — T T
	 	 	 	 	 1*
— — — — — —
                                    STATION 5.—SAPELO SOUND—65 SAMPLES >
1967



1968


1969




1970



1971



1972


DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
PCB's
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
T T T — T T — — — — T
T — T — T 22 — — — — T
T — — — T 23 — — — — —
,2 __________
— — — — — 	 	 	 	 	 	 	
— — — — — — — — — — — —
— — — — — — ______
— — T — — — — — ____
— — 13 — — — ______
— — 19 — — — — _____
— — — T — — — — — ___
— — — — — — — — — — (a) (a)
— 11 — T — _______
— 	 	 y 	 	 	
------ ______
	 	 -p
	 	 	 	 	 	 	 	 	 	 	
--------____
	 	 	 	 	 	 	 	 	 	 	 	
— T T T — _______
- - T - T T
— — — — — T
	 _„ _ 	 'y
VOL. 6, No. 4, MARCH 1973
                                                                                                           277

-------
  TABLE E-2.—Distribution of organochlorine residues in C. virginica for each sampling station by  date of collection—
                                                 Georgia—Continued
 YEAR
           COMPOUND
                           JAN.
                                   FEB.    MAX.    APS.    MAY    JUNE     JULY   Auo.    SEPT.    OCT.     Nov.    DEC.
                                              RESIDUES IN PPB
        [Blank = no sample collected; — = no residue detected above 5 ppb or no residue detected (PCB's); T = >5 but <10 ppb]

                                      STATION 6.—DOBOY SOUND—64 SAMPLES '
1967


1968


1969




1970



1971



1972


DDE
TDE
DDT
DDE
TDE
PDT
DDE
TDE
DDT
Dleldrin
PCB's
DDE
TDE
DDT
Dleldrin
DDE
TDE
DDT
Dleldrin
DDE
TDE
DDT
T T - - - T _ _ _ _ —
— T — — — || _ _ _ _ —
----- 11 - - - - -
— — 	 	 	 	 	 	 	 	 	 	
— — — — — — — — — — — —
_ _ __________
— — — — — 	 	 	 	 	 	 	
— — ____ ______
— — — — ________
— 14 14 13 — — — — — — — —
----------<»-
— 10 — — _______
— — __ _______
— — __ _______
T 	 	 	 	 	 	 	 	 	 	
— — — — — — 	 	 — — — —
____________
____________
T T T — T — — — — — — —
— — T T T —
_ _ T — — —
— — — — — —
                                       STATION 7.—EGG ISLAND—65 SAMPLES '
1967



1968



1969



DDE
TDE
DDT
Dleldrin
DDE
TDE
DDT
Dleldrin
DDE
TDE
DDT
Dieldrin
_____ ,5 _ - - - -
	 	 	 	 	 J9 	 	 	 __ 	
_____ is _ — — — —
_____ _ _ _ _ _ 20
— _ — — _ — __ — — — —
— — — — — — ______
____________
13 15 23 14 — — — — — — — 21
— — _ — — — — — — — — —
— — — — — — _ — — — — —
— — — — — — — — — — — —
16 — 15 15 — — — — — — — T
278
PESTICIDES MONITORING JOURNAL

-------
 TABLE E-2.—Distribution of organocMarine residues in C. virginica for each sampling station by date of collection—
                                                Georgia—Continued
YEAR

COMPOUND
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
RESIDUES IN PPB (/ig/kg)
[Blank = no sample collected; — = no residue detected above 5 ppb or no residue detected (PCB's); T = >5 but <10 ppb]
STATION 7.— EGG ISLAND— 65 SAMPLES »— Continued
1970



1971



1972



DDE
TDE
DDT
Dleldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
-16----------
____ — — — — — — — —
_____ _ ____ — —
TTT-T----TTT
______ ___ — — —
_____-__ — — — — —
_______ ___ — — —
11TTT — — — — — — — —
	 	 |- 	 	 	
______
______
T
RESIDUES IN PPM (mg/kg)
[Blank = no sample collected; — = no residue detected above 0.1 ppm or no residue detected (PCB's);
T = >0.1 but <0.25 ppm]
                                   STATION 8.—ST. SIMONS ISLAND—55 SAMPLES '
1967
1968
1969
1970

1971

1972
Toxaphene
Toxaphene
Toxaphene
Toxaphene
PCB's
Toxaphene
PCB's
Toxaphene
«> 2.5 1.5
0.8 5.0 6.0 4.3
2.0 1.2 2.5 7.5
3.8 3.8 7.2 3.3
- — — -
1.3 0.7 1.1 1.6
__..__
0.6 1.0 I.I 1.0
1.5
1.6
5.0
1.8
—
0.7
(2)
0.8
1.0 1.0
2.0 2.0
1.5 1.0
1.1 <1.0
	 (2)
0.1 0.6
- —
0.6
l.l 0.8 0.7 2.0 2.0
0.6 T — 5.4 2.8
1.0 1.5 1.6 1.6 1.8
0.8 T 0.6 0.7 1.6
- -----
T T 0.6 T 0.6
-----

                                              RESIDUES IN PPM (mg/kg)
                  [Blank = no sample collected; — = no residues detected above 0.1 ppm; T ±= >0.1 but <0.25 ppm]
STATION 9.— TERRY CREEK— 16 SAMPLES '
1967
1968
1969
1970
Toxaphene
Toxaphene
Toxaphene
Toxaphene
12.0
23.0 6.0 54.0
9.0
6.2
"•7 18.0 13.0
5-0 6.3 12.0
12.0 17.0 8.0
8.2
VOL. 6, No. 4, MARCH 1973
                                                                                                                 279

-------
   TABLE E-2.—Distribution of organochlorine residues in C. virginica for each sampling station  by date of collection—
                                                      Georgia—Continued
YEAK COMPOUND JAN.
FEB.
MA*.
APR.
MAY
JUNE
JULY
AUG.
SEPT.
OCT.
Nov.
DEC.
                                                   RESIDUES IN PPM (mg/kg)
                       [Blank = no sample collected; — = no residue detected above 0.1 ppm; T = >0.1 but  <0.26 ppm]

                                         STATION 10.—JEKYLL ISLAND—62 SAMPLES ».«
1967
1968

1969

1970

1971

1972
Toxaphene
Toxaphene
PCB's
Toxaphene
PCB's
Toxaphtne
PCB's
Toxaplione
PCB's
Toxapheue
— T
0.7 2.1 0.7
— — —
1 .0 1 .0 1 .0
— —
0.8 - T
	 (2) (2)
05 T 0.6
	 (2) 	
0.3 T 1.0
0.5 0.4 0.4
0.7 0.5 T
— — —
1.0 —
— —
T — —
<2> (2) . 	
0.8 T T
	 (2) 	
0.6 T —
— — — 1.0
0.4 — — — — —
______
— -- 3.5 T — 0.7
	 C_M 	 (SJ 	 	
— — — — — 0.6
______
— — — 0.5 T T
_______

 1967
 1968
 1969
 1970
1971
1972
                                                  RESIDUES IN  PPM (mg/kg)
                (Blank = no sample collected; — = no residue of DDT  detected above 0.005 ppm or no residue detected above
                        0.1 ppm (toxaphene and PCB's); t = >0.1 but <0.25 ppm; T =  >0.005 but <0.010 ppm]

                                         STATION 11.—SATILLA  RIVER—64 SAMPLES'
DDE
TDE
DDT
Toxaphene

DDE
TDE
DDT
Toxaphene

DDE
TDE
DDT

DDE
TDE
DDT

DDE
TDE
DDT
PCB's

DDE
TDE
DDT
                                                i        (        t        t
                               1.0      0.5       0.7       1
1  Each sample represents 15 or more mature mollusks.
'  Aroclor 1254® present but not quantified.
*  Presence of toxaphene prevented quantification of DDT
  and its metabolites in  these samples.
280
                                                    ' Toxaphene present but not quantified.
                                                    •• One sample each in April 1969, April 1970, and February 1972
                                                      contained a trace of dieldrin.
                                                    ' DDT and its metabolites not detected in any samples.
                                                                              PESTICIDES MONITORING JOURNAL

-------
SECTION R—MAINE
The monthly monitoring  of Maine estuaries  for  per-
sistent synthetic residues was initiated in December 1965
and continued  until  November 1970.  There were 10
principal  stations;  about 40  other sites were  sampled
occasionally. Samples were analyzed at  the Gulf Breeze
Laboratory until June  1969  and,  thereafter,  at  the
Fisheries  Research Station,  Maine Department of  Sea
and Shore Fisheries.

The soft  clam (Mya arenarid)  and  the  blue mussel
(Mytilus edulis) were the principal mollusks monitored
and,  on  occasion,  both  eastern  oysters  (Crassostrea
virginica)  and  horse   mussels (Modiolus  modiolus)
were collected  at  the  same  sites. In  the laboratory,
the  uptake  of DDT was  greater  in  the  soft  clam
than in other species tested as was  the flushing rate,
and 90%  of  DDT  residues was  lost  within  7 days
after the  toxicant was removed. This may explain  why
in  simultaneous collections of two or  more species of
mollusks, DDT residues in soft clams examined at  30-
day intervals were usually lower than those in the oyster
or  horse mussel. A summary of data on organochlorine
residues in the  monitored species,  is presented  in Table
F-l, and the distribution of residues in  these species for
each sampling station by date of collection in Table F-2.

The Maine  samples are characterized  by the low in-
cidence (18%) of detectable  DDT residues as compared
to  most other  monitored areas, despite the  fact  that
substantial amounts of DDT are reported to have been
used agriculturally in some watersheds in Maine.  The
maximum magnitude of  DDT residues detected was,
however,  larger than that found in seven  other  States.
Analysis of  occasional  collections of fish  and inverte-
brates other than mollusks revealed DDT residues larger
than those  in  mollusks.  Presumably  organochlorine
pollution in Maine estuaries was usually too low and too
transitory to be detected except in animals that retain
residues for a Ipng period of time.

Despite the generally low incidence of DDT residues at
most stations, there was  sufficient continuity  in detect-
able DDT residues at Station 10 on the Piscataqua River
to show a gradual decline from an average of about  28
ppb in 1966 to an undetectable level in 1970.  A similar
trend is clearly shown in  samples collected at  Station 7,
Small Point.
    FIGURE F-l.—'Diagram of coastal Maine showing
        approximate location of monitoring stations
           I.  Mill Cove—St. Croix River
           2.  Machiasport—Machias River
           3.  Millbridge—Narraguagus River
           4.  Fort Point—Penobscot River
           5.  Thomaston—St. George River
           6.  Medomak—Medomak River
           7.  Small Point—Kennebec-Androscoggin River
           8.  Phippsburg—Kennebec-Androscoggin River
           9.  Biddeford Pool—Saco River
          10.  Eliot—Piscataqua River
           TABLE F-l—Summary of data on organochlorine residues in the monitored species, 1965-70—Maine
STATION-
NUMBER
1
*
J
4
5
6
7
LOCATION
Mill Cove
Machiasport
Millbridge
Fort Point
Thomaston
Medomak
Small Point
MONITORING
PERIOD
1965-66
1965-70
1966-70
1965-70
1965-70
1967-70
1968-70
PRINCIPAL
MONITORED
SPECIES
M, arenaria
M. arenaria
M. arenaria
M. arenaria
M. arenaria
M. arenaria
M. edulis
NUMBER OF
SAMPLES '
12
52
37
42
42
23
18
NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (#G/KG)
DDT

I (15)
1 (12)
1 (15)
1 (80)
2 (11)
12 (359)
DlELDRIN




1 (11)


VOL. 6, No. 4, MARCH 1973
                                                                                                            281

-------
     TABLE F-l.—Summary of data on organochlorine residues in the monitored species, 1965-70—Maine—Continued
STATION
NUMBER
8
9
10
11
LOCATION
Phippsburg
Biddeford Pool
Eliot
Occasional stations (40)
MONITORING
PERIOD
1965-69
1968-70
1966-70
1965-69
Total number of samples
Percent of samples positive for indicated compound
PRINCIPAL
MONITORED
SPECIES
M. arenaria
M. edulls
\t. arenaria
Mixed


NUMBER OF
SAMPLES 1
39
24
45
62
396

NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (IM/KO)
DDT
7 (24)
7 (64)
22 (67)
16 (93)

18
DfELDRIN


9 (38)
4 (}8)

4
1  Each sample represents 15  or more mature mollusks
    TABLE F-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                                  collection—Maine
                      [Blank = no sample collected; —  = no residue detected above 5 ppb; T = >5 but  <10 ppb.]
YEAR
	
COMPOUND
RESIDUES IN PPB (iia/na)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                 STATION 1.—MILL COVE—M. ARENARIA—12 SAMPLES1
1965


1966


DDE
TDE
DDT
DDE
TDE
DDT
—
—
—
______ ______
______ ______
— — — ——— ______
STATION 2.— MACHIASPORT— M . ARENARIA— 52 SAMPLES 1
1965


1966


1967


1968


1969


DDE
TDE
DDT
DDE"
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
—
—
—
	 	 	 	 f 	 	 	 	 	 	 	
— — — — — — — — _ — __
— — — — — — — — — — — —
— - — — — — — — ____
— — — — — — — ____
— — — — — — — ____
-----_T-_
------T--
------T--
----- - — _ — __
— — — — — ______
	 	 	 	 	 	 	
 282
                                                                                     PESTICIDES MONITORING JOURNAL

-------
   TABLE F-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—Maine—Continued

YEAR

1970



COMPOUND

DDE
TDE
DDT
RESIDUES IN PPB (/IG/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 2.— MACHIASPORT— M. ARENARIA— 52 SAMPLES >— Continued
— _____ _
— — — — — — . —
— — — — —
STATION 3.— MILLBRIDGE— M. ARENARIA— 31 SAMPLES »
1966


1967


1968


1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
—
—
—
___ ______
___ ______
___ ______
_ _ _ _"_ _ _ — — —
____ _____ _
____ ______
__________ _
_____ ______
_____ ______
— — — 12 — —
______
— — — — — —
STATION 4.— FORT POINT— M. ARENARIA— 42 SAMPLES 1
1965


1966


1967


1968



1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT

DDE
TDE
DDT
	
—
—
— — — — — — — — __
— — — — — — — — __
— - — — — — -— __
-------___
------____
— — — — — — ____
— __ 	 _ __ 	
----- -___
_
— — — 15
— — — — — — — — _
— — — — — — 	 	 	
— — — — — — _ 	 	
VOL. 6, No. 4, MARCH 1973
                                                                                                          283

-------
  TABLE F-2,—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                         collection—Maine—Continued
YEAR

COMPOUND

RESIDUES IN PPB (^O/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 4.— FORT POINT— M. ARENARIA— 42 SAMPLES i— Continued
1970


DDE
TDE
DDT
— —
— —
— —
STATION 5.— THOMASTON— M. ARENARIA, UNLESS OTHERWISE INDICATED— 42 SAMPLES'
1965


1966



1967


1968


1969


1970



1967


1968


1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
—
—
—
	 	 	 	 	 	 	 21 	
____ — _— 35 —
_______ 24 —
___,!___ --
_ ______.__ — —
_ ___ — _ — — — — —
_ _____ — — — — —
____ ____
____ ____
— — — — ____
»_ — - — - - —
_ _____ —
— - — — - — ~
— — — —
_ _ — - — —
— — — — — —
STATION 6— MEDOMAK— M. ARENARIA— 23 SAMPLES1
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
_ _____ ___
— — — — — ___
,, ._ T - - -
_ _ _ _ —
_ _ _ — —
— — — —
- - - - —
— — — — —
— — — — —
- _ ... _
— _ _ _
— _ — —
284
PESTICIDES MONITORING JOURNAL

-------
    TABLE F-2. _ Distribution of organochlorine residues in the monitored species for each sampling
                                           collection — Maine — Continued
station
                                                                                                     by date of
YEAR
COMPOUND
RESIDUES IN PPB (HG/KC) 	
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov^^^_
                                   STATION 7.— SMALL POINT— M. EDULIS— 18 SAMPLES 1
1968


1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
35 21 17 12 25 19
44 25 20 14 27 18
280 77 68 18 26 26
11 TTT12 — — — —
14 T T T 21 — — — —
18 15 13 T 13 49 — — —
— — —
_ _ _
— — —
                                STATION  8.— PH1PPSBURG— M. ARENARIA—39  SAMPLES*
1965


1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
	
1968


1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
—
—
-
________ _ —
— — — — — — — — __
________ __
___T---- ---
— — — — — — — — — — —
— — — 11 11 T — — ___
	 	 	 	 -j- 	 	 	 	 	 	
_____ ______
— _ — T19 — — — — Til
— — _ — — _
— — — — — —
— — — — — —
STATION 9— BIDDEFORD POOL— M. EDULIS— 24 SAMPLES >
- _T-TTTT
- — T - T T T T
~~ — 21 — 54 22 15 ]3
T — T — _ __
T 	 	 	
21 — 12 — _ _
— _ _ _ _ _
— — — — — 	
— — — — — — _ 	
VOL. 6, No. 4, MARCH 1973
                                                                                                               285

-------
    TABLE F-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                           collection—Maine—Continued
YEAR
COMPOUND
RESIDUES IN PPB (JMJ/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG.
SEPT. OCT.
Nov.
DEC.
                  STATION 10.—ELIOT—M. ARENAR1A, UNLESS  OTHERWISE  INDICATED—45  SAMPLES'
1966



1967



1968



1969


1970


DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
T — 12
T - 16
21 T 32
32 — 38
_ _
— —
— -
— 16
—
T
18
10
' II
23
18



14
21
32
—
T
11
20
Lost
T
12
15
—
3 12
22
14
—
—
—
13 13
19 21
23 16
27 23
T —
14 T
18 30
10 T
—
—
—
—
T
T
T
— —
— —
— —
T - T T T —
11 — T 11 T —
T — T T T —
_____ T
— T T — T
— - 15 T — T
— — T 22 — 15
______
_ T — — —
— 12 — — —
_ T — — —
_____
_ _ _ _
_ _ _ _
_ _ _ _
_ _ _ _
_ _ _ _
— — _ —
1  Each sample represents IS or more mature mollusks.
i  M. edulls.
•'  M. demissus.
 286
                                                                                  PESTICIDES MONITORING JOURNAL

-------
SECTION  G.—MARYLAND
Eastern oysters, Crassostrea virginica, were collected in
upper  Chesapeake Bay and  its  tributaries  at  irregular
intervals  (usually twice yearly) from August 1966 to
November 1970.  The sampling  was made  possible be-
cause  of  oyster surveys being conducted for other pro-
grams. All samples  from the  10 locations in Maryland
were analyzed at the  Gulf Breeze Laboratory. The ap-
proximate station locations are  shown  in Fig.  G-l. A
summary of data  on organochlorine  residues  in  the
monitored species,  C. virginica,  is presented in  Table
G-l, and the distribution of residues in this species for
each  sampling station by  date  of collection in  Table
G-2.
 Maryland was fifth  among  all States, in the  incidence of
DDT residues (81%), but  the magnitude  of residues
 in oysters was surprisingly  low in view of the size of the
 Susquehanna  River watershed  and  the  extent  of  its
 agricultural  development.   More  selective  monitoring
 might show that the major pesticide burden  of the river
 is precipitated with silt in the  headwaters  of the  Bay
 and  does not  enter  the trophic web of the  estuarine
 system extensively.  DDT residues detected at monitoring
 stations  probably reflected  pollution  primarily   in the
 adjacent  and usually  small drainage basins.

 Despite  the small  number of samples,  the decline in
 average DDT residues from 26 ppb in 1966 to  10 ppb
 in 1970  together with  a  more  than 150%  increase in
 samples  containing less than 11  ppb suggests  a  real
 change in average pollution levels.
                                                           FIGURE  G-l.—Diagram of coastal Maryland showing
                                                                approximate location of monitoring stations
                                                         I.  Franklin City—Chincoteague Bay
                                                         2.  Pocomoke Sound
                                                         3.  Tangier Sound
                                                         4.  Honga River
                                                         5.  Choptank River
6. Eastern Bay
7. Tollys Bar—Chesapeake Bay
8. Herring Bay—Chesapeake Baj
9. Cedar Point—Chesapeake Bay
10. St. Marys River
   TABLE G-l.—Summary of data on organochlorine residues in the monitored species (C. virginica), 1966-70—Maryland
STATION
NUMBER
1
2
3
4
5
6
7
8
9
10
LOCATION
Franklin City
Pocomoke Sound
Tangier Sound
Honga River
Choptank River
Eastern Bay
Tollys Bar
Herring Bay
Cedar Point
St. Marys River
MONITORING
PERIOD
1966-70
1966-69
1966-70
1966-70
1966-70
1966-70
1967-70
1966-70
1966-70
1966-70
Total number of samples
Percent of samples positive for indicated compound
NUMBER OF
SAMPLES '
8
6
10
10
8
10
8
10
10
8
88

NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (/io/no)
DDT
8 (43)
5 (47)
5 (48)
8 (43)
4 (30)
8 (70)
8 (44)
9 (46)
9 (70)
7 (33)

81
DlELDRIN






7 (22)
4 (18)



13
1 Each sample represents 15 or more mature mollusks.
VOL. 6, No. 4, MARCH 1973
                                                                                                              287

-------
        TABLE G-2.—Distribution  of organochlorine  residues in C. virginica for each sampling station by date of
                                                 collection—Maryland
                       [Blank = no sample collected; — = no residue detected above 5 ppb; T =  >5 but <10 ppb]
YEAR
COMPOUND
RESIDUES IN PPB (iia/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY
AUG. SEPT.
OCT. Nov.
DEC.
                                       STATION 1.— FRANKLIN CITY— 8 SAMPLES'
1966


1967


1968


1969
1970


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT

DDE
TDE
DDT
10 T
14 —
T —
ii in
— —
— 13
26 T T
17 T —
— 16 T
No Samples Collected
14
—
—
STATION 2.— POCOMOKE SOUND— 6 SAMPLES '
1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
T
17 T
T —
T T
T T
— T
11
12
24
—
-
—
STATION 3.— TANGIER SOUND— 10 SAMPLES '
1966


1967


DDE
TDE
DDT
DDE
TDE
DDT
13 T
24 T
11 —
— T
- -
— 10
288
                                                                                    PESTICIDES MONITORING  JOURNAL

-------
       TABLE G-2.—Distribution of organochlorine  residues in C. virginica for each sampling station by date of
                                        collection—Maryland—Continued

YEAR

1968


1969


1970



COMPOUND

DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
RESIDUES IN PPB (^O/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 3.— TANGIER SOUND— 10 SAMPLES "—Continued
T 17 -
T 10 —
_ — —
—
—
—
— —
— —
	 	
STATION 4.— HONGA RIVER— 10 SAMPLES 1
1966


1967


1968


1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
T 12
12 20
11 11
T T
12 T
— T
T T T
	 T 	
— 28 10"
—
—
—
— T
— 10
— —
STATION 5.— CHOPTANK RIVER— 8 SAMPLES '
1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
T T
11 13
— 12
T T
II T
- —

_
—
VOL. 6, No. 4, MARCH 1973
                                                                                                             289

-------
       TABLE G-2.—Distribution of organochlorine  residues in C. virginica for each sampling station by date of
                                       collection—Maryland—Continued
YEA*
COMPOUND
RESIDUES IN PPB (/IO/KO)
JAN.
FEB.
MAI.
An.
MAY JUNE JULY AUG.
SEPT.
OCT.
Nov.
DEC.
                              STATION 5.—CHOPTANK RIVER—8 SAMPLES >—Continued
1969
1970
DDE
TDE
DDT
DDE
TDE
DDT
                                    STATION 6.—EASTERN BAY—10 SAMPLES1
1966


1967


1968


1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDB
DDT
— 14
— 17
— —
11 T
IS 11
— T
— 11 11
— 11 —
— 48 16
10
T
—
11 10
T 10
— —
                                     STATION 7.—TOLLYS BAR—« SAMPLES1
1967



1968



1969



DDE
TDE
DDT
Dfoldiin
DDE
TDE
DDT
Dfoldrin
DDE
TDE
DDT
Dleldrin
18 13
19 17
T 11
13 13
14 12
11 14
— T
15 —
15
14
—
16




15
13
16
11




290
                                                                   PESTICIDES MONITORING JOURNAL

-------
        TABLE G-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                         collection—Maryland—Continued



RESIDUES IN PPB (/WS/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG.
SEPT. OCT. Nov. DEC.
STATION 7.— TOLLYS BAR— 8 SAMPLES > — Continued
1970 DDE
TDE
DDT
Dieldrin
16
17
—
22
T
10
—
15
                                     STATION 8.—HERRING BAY—10 SAMPLES '
1966


1967



1968


1969



1970



DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
10 T
15 —
T —
12 10
11 17
— T
— 13
T 12 12
T 14 11
— 20 11
10
11
—
13
14 _
16 _
—
18 12
                                     STATION 9.—CEDAR POINT—10 SAMPLES 1
1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
18
27
25
22 IS
20 16
T 13
T 21
— 13
— 16
T 11
T 12
— —
20
24
15



T
T
24



VOL. 6, No. 4, MARCH 1973
                                                                                                           291

-------
       TABLE G-2.—Distribution of organochlorine residues in C. virginica for each sampling station by  date of
                                         collection—Maryland—Continued
YEAH
COMPOUND
RESIDUES IN PPB (;UJ/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG.
SEPT. OCT. Nov. DEC.
                                 STATION 9.—CEDAR POINT—10 SAMPLES >—Continued
1970


DDE
TDE
DDT
—
—
—
                                   STATION 10.—ST. MARYS RIVER—8 SAMPLES 1
1966


1967


1968

1QAQ
i yvy
1970


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
— 12
— 16
— T
15 T
17 T
	 -J*
T 11 T
— 11 —
— 11 12
15
11
—
  Each sample represents 15 or more mature mollusks.
SECTION H.—MISSISSIPPI
Mississippi  Sound and  tributaries  were monitored for
organochlorine residues in eastern oysters, C.  virginica,
during the period August  1965 - June 1972. All samples
from the eight sampling  stations were analyzed at the
Gulf Breeze Laboratory. Approximate station locations
are shown in Fig. H-l.  A summary of data on organo-
chlorine residues  in the monitored species, C.  virginica,
is presented in Table H-l, and the  distribution of resi-
dues in this species for each sampling station by date of
collection in Table H-2.

Only four States  had a lower incidence of DDT residues
in  oysters,  and  the  maximum  residue  detected  in
Mississippi  (135 ppb) was lower than that  in  12 of the
other 14 States. Maximum DDT residues appeared to be
more directly related  to runoff from  urban  and  in-
dustrialized centers rather than from agricultural  areas.

In 1971, there was a more  than  70%  increase in the
number of  DDT  residues of less than  10 ppb as com-

292
pared to earlier years. This trend was reversed in the
first 6 months of 1972 when 44% of the residues were
more than  10 ppb as compared to only 25%  in  1971.
                      MISSISSIPPI
             GULF OF MEXICO
  FIGURE H-l.—Diagram of coastal Mississippi showing
        approximate location of monitoring stations
         1. Pascagoula—Pascagoula River
         2. Graveline—Graveline Bay
         3. Deer Island—Biloxi Bay
         4. Biloxi Bay—Biloxi Bay
         5. Pass Christian (Inshore)—Mississippi Sound
         6. Pass Christian (Offshore)—Mississippi Sound
         7. Bay St. Louis—St. Louis Bay
         8. St. Joseph Point—Mississippi Sound

                     PESTICIDES MONITORING JOURNAL

-------
   TABLE H-l.—Summary of data on organochlorine residues in the monitored species (C. virginica), 1965-72—Mississippi
STATION
NUMBER
1
2
3
4
5
6
7
8
LOCATION
Pascagoula
Graveline
Deer Island
Biloxi Bay
Pass Christian (Inshore)
Pass Christian (Offshore)
Bay St. Louis
St. Joseph Point
MONITORING
PERIOD
1965-72
1965-72
1965-69
1965-72
1965-66
1965-72
1966-72
1969-72
Total number of samples
Percent of samples positive for indicated compound
NUMBER OF
SAMPLES »
78
79
49
78
13
78
66
29
470

NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (JIG/KG)
DDT
47 (74)
56 (99)
33 (105)
71 (135)
7 (53)
29 (42)
31 (124)
11 (69)

61
DlELDRIN



8 (19)

3 (16)
7 (20)
1 (18)

4
  Each sample represents 15 or more mature mollusks.
        TABLE H-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                                 collection—Mississippi
                     [Blank = no sample collected; — = no  residue detected above 5 ppb;  T = >5 but <10 ppb]
YEAS
COMPOUND
RESIDUES IN PPB (/WJ/KQ)
JAN.
FEB.
MAR.
APR.
MAY JUNE JULY AUG.
SEPT.
OCT.
Nov.
DEC.
                                        STATION 1.—PASCAGOULA—78 SAMPLES1
1965 DDE
IDE
DDT
1966 DDE
TDE
DDT
1967 DDE
TDE
DDT
1968 DDE
TDE
DDT
1969 DDE
TDE
DDT
1970 DDE
TDE
DDT



T 17 13 19 —
T 41 10 19 —
— - — — —
13 12 II 14 T —
14 47 T 13 T —
T 10 — — — —
T T T T 10 —
— T T T 11 —
- T - - T —
T — 11 T 15 T
13 — 12 T 19 12
T
13 12 15 16 10 T
40 12 18 14 13 64
— — —
T T T 14 —
T — T 55 —
T — — T —
T T — — T 11
T - - _ _ 12
— — — — — —
— — T T T —
— — T 	 	 	
— — 17 — — —
--_-__
	 	 	 	 	 	
— — — — __
T — 11 12
T - 14 T
— — T —
- - - - T -
- - - - T -
— — — — — —
VOL. 6, No. 4, MARCH 1973
                                                                                                                   293

-------
       TABLE H-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                        collection—Mississippi—Continued
YEA*
COMPOUND
RESIDUES IN PPB (JIG/KO)
JAN. FEB. MA*. API. MAY JUNE JULY AUG.
SEPT. OCT. Nov. DEC.
STATION 1.— PASCAGOULA— 78 SAMPLES *— Continued
1971


1972


DDE
TDE
DDT
DDE
TDE
DDT
_ _ _ _ T — —
— — — — 12 55 —
______ _
T T — 10 11 —
11 T — 10 — —
______
— — T
— — T
_ _ —



                                      STATION 2.—GRAVELINE—79 SAMPLES »
1965


1966


1967


1968


1969


1970


1971


1972


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



10 T 12
27 T 10
T — —
14 12 23
11 10 66
13 — 10
15 16 13
22 23 19
T 12 —
— — 11
— — 14
— — —
— 14
— 16
— 10
15 — —
17 — —
_ _ _
T T —
T T —
— — —



29
10
T
24
36
T
11
18
T
T
T
—
14
17
T
—
—
—
15
—
—



21
60
T
T
T
—
16
23
T
15
15
T
15
14
—
12
23
—
T
T
—



22
68
—
T
18
—
22
25
T
T
12
—
10
11
—
—
—
—
16
—
—
T T T T T
T T T - 20
T — — — —
16 12 18 T 13 13
19 31 69 13 17 36
______
T — T 12 14 15
T — 12 23 18 23
— — 21 29 10 T
10 — — — — T
14 — T — — —
______
— — — 11 17
— — — 13 20
— — — — 10
T — — — — —
10 — — — — —
T — — — — —
— — — T
— — — T
— — — —



                                     STATION 3.—DEER ISLAND—49 SAMPLES»
1965


DDE
TDE
DDT
10
21
T
T
T
—
— T
— 17
— —
T
17
—
294
PESTICIDES MONITORING JOURNAL

-------
       TABLE H-2.—Distribution of organochlorine residues in C.  virginica for each sampling station by date of
                                         collection—Mississippi—Continued
YEAR
COMPOUND
RESIDUES IN PPB (AO/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY Auo. SEPT. OCT.
Nov. DEC.
                                 STATION 3.—DEER ISLAND—49 SAMPLES1—Continued
1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
14
27
T
10
12
T
T
13
—
T
T
—
20
43
16
15
T
—
11
13
T
T
—
—
15
25
T
14
14
—
T
T
-
11
13
-
22
45
12
15
11
—
12
12
—
T
13
—
27 23
62 65
16 —
11 —
17 —
— —
12 —
12 —
— —
T —
•J- 	
— —
17 T — T — T
38 T — T — 11
— — — — — —
	 	 	 	 	 j1
_ _ _ _ — T
— — 12 — — —
____ — —
— — — — — —
____ — —
T T
27 34
— 22
                                      STATION 4.—BILOXI BAY—78 SAMPLES'
1965


1966


1967



1968


1969



1970



1971


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dleldrin
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT



14 16
43 30
14 T
16 19
31 40
15 23
- —
12 14
32 30
— T
T 18
28 46
— T
— —




T 24
26 65
— —



16
33
11
23
43
15
—
16
39
-
17
47
T
-
18
60
15
19
16
43
—

i

29
73
15
28
50
20
13
20
34
T
14
46
11
—
19
50
T
16
24
69
—



32 —
87 —
16 —
15 13
33 21
— T
— —
30 17
94 61
T —
20 17
67 54
T —
- -
28 —
78 —
14 —
15 —
T —
85 —
— —
14 T — T
23 11 — 23
T — — —
20 19 — T 15
47 48 — T 27
_ _ _ _ T
T T — '— T
43 25 17 17 19
— — T T —
— — - — —
T - — — T
52 25 24 T 43
— _ _ _ _
T — 14 14
22 25 42 28
— — is —
— — — 16
-
77 40 — 12 12
	 	 	 	 	
11 — 16 — —
22 — _
81 — 19
— — —
T
18
—
T
15
—
T
22
—
—
16
49
—
20
53
12
18

17
_
—
T
27
—
VOL. 6, No. 4, MARCH 1973
                                                                                                              295

-------
       TABLE H-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                        collection—Mississippi—Continued
YEA*



RESIDUES IN PPB (AO/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 4.— BILOXI BAY— 78 SAMPLES ' — Continued
1972


DDE
TDE
DDT
T 10 12 18 17 T
20 28 35 58 63 30
— — — — — —
STATION 5.— PASS CHRISTIAN (INSHORE)— 13 SAMPLES '
1965


1966


DDE
TDE
DDT
DDE
TDE
DDT
T T — T —
T 	 	 	 	
_ _ _ _ _
T — — T 11 19 — —
T — — T 12 34 — —
	 	 	 	 JJ 	 	 	
                              STATION 6.—PASS CHRISTIAN (OFFSHORE)—78 SAMPLES '
1965 DDE
TDE
DDT
1966 DDE
TDE
DDT
1967 DDE
TDE
DDT
1968 DDE
TDE
DDT
1969 DDE
TDE
DDT
1970 DDE
TDE
DDT
Dieldrin
1971 DDE
TDE
DDT
1972 DDE
TDE
DDT



T — — 11 14
T — — 12 15
— — — T 13
T
_ _ T - -
— — — — —
T T T T T
— T T 11 11
	 1* 	 	 	
— — — T
— — — T
— — — T
12 13 15 11
T 22 22 16
— T — T
11 16 — —
	 	 	 	 -p
- - - 14
_____
T T 12 12 T
T T 10 16 T
	 	 	 -J- 	
T — — T —
T — — T —
T
— — — _ _ _ —
— ______
— ______
	 	 	 	 	 	 X
______ T
— — — — — • — —
_ ______
— — — — — — —
— — — — — — —
T - — — T T
13 — — — T T
— — — — — —
•T- 	 	 	 _,_
y 	 	 	 	 	 . 	
— — — — — — —
— — — 15 — — —
_ _ _ T
- - - ' - T
— — — — —
11
—
—
296
                                                                               PESTICIDES  MONITORING JOURNAL

-------
       TABLE H-2.—Distribution of organochlorine  residues in C. virginica for each sampling station by date of
                                         collection—Mississippi—Continued
YEAI
COMPOUND
RESIDUES IN PPB UO/KO)
JAN.
FEB.
MAX.
APt.
MAY JUNE JULY Auo.
SEPT. OCT. Nov.
DEC.
                                     STATION 7.—BAY ST. LOUIS—66 SAMPLES '
1966


1967


1968


1969



1970



1971


1972


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dfeldiin
DDE
TOE
DDT
Dkkbin
DDE
TDE
DDT
DDE
TDB
DDT



T T T
T T 14
_ _ _
T T T
T T T
— T —
— T T
T — 12
_ _ _
T 14 11
T 12
13 IS
_ _
17 20
_ _ _
_ _ _
_ _ _
T T —
T T —
_ _ _



T
T
—
T
T
—
—
—
—
T
17
21
T
—
—
—
—
11
11
T



T —
T —
— —
10 —
11 —
T —
T T
T 11
T —
— —
34 32
76 12
14 —
14 —
— —
13 —
— —
T —
— —
— —
_ _ _ —
_ _ — —
_ _ _ —
_ _ _ — 11 T
___ — — —
— — 10 — — —
___ — — —
______
____ — —
_ _ — T 10
— — — 11 12
— — — T 11
_ _ _ _ _
______
______
______
— — — — — —
	 	 	 f
— — _ _
— — — —



                                    STATION 8.—ST. JOSEPH POINT—29 SAMPLES'
1969


1970



1971


1972


DDE
TDE
DDT
DDE
TDE
DDT
Dteldrin
DDE
TDE
DDT
DDE
TDE
DDT
	 	
— —
_ _
TTT 14 15 — _____
— — — 22 54 — — ____
— — — — — — — — — 24 —
18 — _________
— — — — — — __ 	 	
— — — — — — — — — _
— — — — — — — — 24 —
T T — — T T
— 15 — — T —
— — — — — —
1 Each umple represents 15 or more mature molluaks.

VOL. 6, No. 4, MARCH 1973
                                                                                                              297

-------
SECTION I.—NEW JERSEY

Samples of eastern oysters, Crassostrea virginica,  were
collected  at  five principal stations  in  the New Jersey
waters of Delaware Bay during the period June 1966 -
June  1972.  All  samples  were  analyzed  at th?  Gulf
Breeze  Laboratory. The  approximate  station  locations
are shown in Fig. 1-1. A summary of  data on organo-
chlorine residues in the monitored species, C. virginica,
is presented in Table 1-1, and the distribution of residues
in this  species  for each sampling  station by  date of
collection in Table 1-2.

Oyster  samples  collected  in  Delaware  Bay   were
characterized by a 100% incidence of DDT  residues
and  a  relatively  high  incidence  (24%) of  dieldrin
residues as compared to other areas monitored.

The maximum DDT residue observed, 272 ppb, is low
compared to that in many other estuaries; most residues,
from  New Jersey were less than half this amount.  The
fact  that  DDE  was  the principal component of these
residues suggests that the pesticide had been metabolized
in other links of the trophic web before its acquisition
by the oyster.

DDT residues appear to have been somewhat higher in
the 1968-69 period than earlier, but the 1971 data show
a clear-cut trend towards decreased residue levels.
FIGURE 1-1.—Diagram of coastal New Jersey showing
     approximate location of monitoring stations
          1.  Drum Beds—Delaware River
          2.  Maurice River—Delaware River
          3.  Dividing Creek—Delaware River
          4.  Lease 564/496D—Delaware River
          5.  Cohansey—Delaware River
TABLE 1-1.—Summary of data on organochlorine residues in  the monitored species (C. virginica), 1966-72—New Jersey
STATION
NUMBER
1
2
3
4
5

LOCATION
Drum Beds
Maurice River
Dividing Creek
Lease 564/496D
Cohansey
Occasional Stations (7)
Total number of samples
Percent of samples positive for indicated compound
MONITORING
PERIOD
1966-72
1966-72
1966-71
1966-72
1966-72
1966-71


NUMBER OF
SAMPLES *
49
50
7
52
49
12
219

NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (/JO/KG)
DDT
49 (213)
50 (143)
7 (125)
52 (278)
49 (245)
12 (166)

100
DIELDRIN
3 (12)
I (T)
1 (12)
28 (26)
16 (23)
3 (29)

24
PCB's »
2
1

2
1


3
NOTE: T = >5 but <10 ppb.
' Each sample represents 15 or more mature mollusks.
1 Present but not quantified,

298
                   PESTICIDES MONITORING JOURNAL

-------
       TABLE 1-2.—Distribution  of organochlorine residues in C. virginica for each sampling station  by date of
                                               collection—New Jersey
       [Blank = no sample collected; — = no residue detected above 5 ppb or no residue detected (PCB's); T = >5 but <10 ppb]
YEA*
COMPOUND
RESIDUES IN PPB (AO/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                         STATION 1.—DRUM BEDS—49 SAMPLES »
1966


1967


1968


1969


1970



1971


1972




DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
PCB's
19
18
—
43 39 30 31 27
34 28 27 30 40
11 T — — 21
43 50 55 50 110 110
43 43 54 57 98 83
10 T T — T 13
49 19 48 51 73
35 18 15 45 44
_____
99 100 110
42 52 47
11 — —
— — 12
35 59 70 38
10 35 30 26
_ _ _ _
'10 > 52
20 29
52 —
T T
(Bt (8)
33
38
15
18
25
16
55
38
13
52
30
T
34
12
—
—








24
24
11
27
33
13
44
35
T
63
34
—
37
15
—
—
27
14
—





28 17
26 14
10 —
37 42
46 50
22 14
75 52
48 44
11 —
67 56 58
32 41 28
T T T
46 38
21 16
— —
— —
53
28
—





                                     STATION  2.—MAURICE  RIVER—50 SAMPLES i
1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
11
15
—
12 12 13 15
T T 19 28
17 — _ _
19 24 22 21 45
27 31 32 43 68
T — — — _
T
12
-
12 T
23 10
T —
37 17
38 - 21
16 T
14
15.
-
18
30
13
20
24
10
13
16
—
26 19
40 31
13 —
16 24
17 19
T T
T
•T
—






VOL. 6, No. 4, MARCH 1973
                                                                                                                  299

-------
       TABLE 1-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                        collection—New Jersey—Continued
YEA»
COMPOUND
RESIDUES IN PPB (^O/KO)
JAN. FEB. MAX.
An.. MAY JUNE JULY Auo. SEPT. OCT.
Nov. DEC.
                               STATION 2.—MAURICE RIVER—50 SAMPLES»—Continued
1969 DDE
TDE
DDT
1970 DDE
TDE
DDT
1971 DDE
TDE
DDT
1972 DDE
TDE
DDT
Dieldrin
PCB's
21 16 77 75
21 15 26 68
— — — —
16 24 25
T 22 36
— — —
12 T 26
T — 29
— — —
14 » 17
— 17
— —
— T
— <»
13 22 12 T 19 13
14 23 18 11 14 T
_ T — — — —
32 17 13 18 13
34 16 15 19 10
— — — — —
23 14 T
29 13 —
— — —





                                    STATION 3.—DIVIDING CREEK—7 SAMPLES1
1966


1967



1968


1969

IO7A
17 IV
1971


DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
T
13
—
26 41 22
28 66 33
— 18 11
	 j2 	
49
64
T
60
35
—
• • 	 " 	 No S&iuples Collected 	 	 ~ 	 	 	 	
13
13
—
                                     STATION 4.—LEASE 564/496D—52 SAMPLES '
1966


DDE
TDE
DDT
34
42
-
29
39
T
41
53
12
51
53
67
58
110
15
300
PESTICIDES MONITORING JOURNAL

-------
     TABLE 1-2.—Distribution of organochlorine residues in C. virginica for each sampling station by  date of
                                      collection—New Jersey—Continued
YEA*
COMPOUND
RESIDUES IN PPB (^O/KO)
JAN. FEB. MAI. APR.
MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                              STATION 4.—LEASE 564/496D—52 SAMPLES "—Continued
1967



1968



1969



1970



1971



1972




DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
PCB's
47
48
T
10
35 38 37
50 54 60
T T T
11 14 15
100
87
13
13
130 140
61 67
15 16
14 16
150
45
—
13
•67
42
11
T
(•>
41 48 41
39 86 81
— — —
- 18 20
23 110
45 140
— 18
— —
66 95 27
51 74 34
_ _ _
12 18 21
180 75
98 92
— —
20 26
180 180
87 62
T —
19 19
•46
35
—
14
(8)
44
72
18
18
77
82
23
14
82
68
17
—
•35
18
—
—
190
78
—
T





29 38 26
47 56 41
17 19 10
— 12 —
51 69 67
46 57 57
16 T T
— — —
47 72 84
39 45 48
T 13 14
— 19 13
62 95 120
33 36 33
— — —
_ _ _
49
25
—
—





39 39
56 56
— —
— —
57
56
T
11
72
56
14
11
42 12
36 43
— —
— 12
56
18
—
—





                                      STATION 5.—COHANSEY—49 SAMPLES «
1966


1967



1968



DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin



29
45
T
—
20 30 22
41 62 66
— — —
— 12 14



35 41
53 19
T 22
— 23
49
12
—
13
12
24
—
54
150
25
18
81
150
14
19



24
59
10
12
68
110
11
12
17
37
—
29
66
13
T
32
60
15
—
20
35
—
17 17
39 38
— T
— —
33 52
50 70
T T
— —
22
33
—
32
59
—
11
28
32
—
—
11
23
—








VOL. 6, No. 4, MARCH 1973
301

-------
        TABLE 1-2.—Distribution  of  organochlorine residues in C. virginica for each sampling station by date of
                                           collection—New Jersey—Continued
YEAI
COMPOUND
RESIDUES IN PPB (PG/KO)
JAK. FEB. MAI. API. MAY JUNE JULY Auo. SEPT. OCT.
Nov. DEC.
                                    STATION 5.—COHANSEY—49 SAMPLES >—Continued
1969



1970



1971



1972




DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
PCB's
33 59 57 36 37 29 24 42 38
46 43 76 49 46 45 44 48 42
— ___TT — — T
— _I6 — — — — — —
45 41 55 30 27 53 36 42
46 51 98 30 34 54 42 36
	 	 	 X — ^ 	 	
— 11 21 _____
52 28 38 27 21 22
42 24 61 30 20 17
	 	 __ fp
13 _ 16 — — —
23 >40
114 49
— —
— T
— <«>
1 Each sample represents  15 or more mature mollusks.
' DDT values are approximate because of presence of unidentified PCB's.
3 Present but not quantified.
302
PESTICIDES MONITORING JOURNAL

-------
SECTION  J.—NEW  YORK
Several different species  of moLIusks (Crassotrea  vir-
ginica, Modiolus domissus,  Mytilus edulis, Mercenavia
mercenaria, and My a  arenaria) were collected at  16
principal sites in New York's coastal waters to monitor
organochlorine pollution during the period March 1966 -
June  1972.  Samples were analyzed at the Gulf  Breeze
Laboratory  until February  1969 and  thereafter  by the
New   York  Conservation  Department.  Analyses  of
aliquots of  some of the  samples  collected  during the
period October 1968 - July  1970 have been reported
by  the cooperating  agency (9)  and do not differ sig-
nificantly  from the data reported here.

Approximate station locations  are shown in  Fig. J-l. A
summary  of data on  organochlorine  residues  in the
monitored species is presented in Table  J-l, and the
distribution of residues in  these species for each sampling
station by date of collection in Table  J-2.

The hard  clam, M. mercenaria, was the principal  species
collected  because of its ubiquity and  despite its recog-
nized inefficiency in storing organochlorine residues. This
lack  of sensitivity to low  levels  of DDT pollution is
especially well documented in the analytical record of
samples collected in Conscience Bay, Station 6. Hard
clams were the only mollusk  of four species collected
there  in which DDT residues were undetected. DDT
pollution  apparently  disappeared  at this station  during
the period July  1968 - March 1969,  but this was be-
cause  of  the  substitution of hard clams  for the  blue
mussel as monitors.

These data  emphasize the fact that in  areas  where  hard
clams did show  DDT residues,  there  were probably
significant levels of  DDT in the water or food  supply.
This  parallels  the situation in Delaware,  where  hard
clams collected  in  Delaware  Bay (Cape  Henlopen)
consistently  had  DDT  residues   while residues  were
         16  15
                     ATLANTIC OCEAN
  FIGURE J-l.—Diagram of coastal New York showing
       approximate location of monitoring stations
 1. Mamaroneck
 2.. Hempstead Harbor
 3. Oyster Bay Harbor
 4. Huntington Bay
 5. Nissequogue River
 6. Conscience Bay
 7. Southold—Gardiners Bay
 8. Flanders Bay
 9. MecoxBay
10. Shinnecock Bay
11. Moriches Bay
12. Bellport—Great South Bay
13. Sayville—Great South Bay
14. Amityville—South Oyster Bay
15. East Bay
16. West Bay
usually  not detected in hard clams collected in  inner
bays. There  was  generally  good   agreement  in the
magnitude of residues in two  or more species,  other
than the  hard clam, collected  at the  same  station on
the same day.

The New York samples ranked fifth among the States
in incidence and sixth  in magnitude of DDT residues.
More samples (43%) contained dieldrin  residues than
in any  other area monitored.  PCB's  were  present  in
some samples in 1972, but they were  not identified  or
quantified.

Despite the large number of samples  collected  over a
period of 7 years, no clearly defined trends in pollution
levels can be identified. This may be the result of having
used a variety of species. The overall impression is one
of  no  significant change in  DDT residue  levels  in
mollusks.
        TABLE J-l.—Summary of data on organochlorine  residues in the monitored species,  1966-72—New York
STATION
NUMBEI
1
2
3
4
5
6
7
8
9
LOCATION
Mamaroneck
Hempstead Harbor
Oyster Bay
Huntington Bay
Nissequogue River
Conscience Bay
Southold
Flanders Bay
Mecox Bay
MONITORING
PERIOD
1966-69
1966-72
1966-72
1966-72
1966-72
1966-72
1969-72
1966-72
1966-72
PRINCIPAL
MONITORED
SPECIES
M. mercenaria
M. mercenaria
M. mercenaria
M. edulis
M. edulis
M. edulis
C. virglnica
A/, mercenaria
C. virglnica
NUMBER OF
SAMPLES 1
36
74
73
74
74
73
34
69
67
NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (/UJ/KG)
DDT
34 (96)
70 (201 )
54 (99)
72 (588)
70 (138)
61 (112)
32 (149)
63 (199)
65 (596)
DIELDRIN
27 (29)
61 (132)
48 (86)
52 (104)
58 (117)
52 (75)
26 (78)
15 (107)
14 (22)
 VOL. 6, No. 4, MARCH 1973
                                                                                                           303

-------
  TABLE J-l.—Summary if data on organochlorine residues in the monitored species, 1966-72—New York—Continued
STATION
NUMBER
10
11
12
13
14
15
16

LOCATION
Sblnnecock Bay
Moriches Bay
Heliport Bay
Sayville
Amityville
East Bay
West Bay
MONITORING
PERIOD
1966-72
1966-72
1966-72
1966-72
1966-72
1966-72
1966-72
Occasional stations (8) 1967-72
PRINCIPAL
MONITORED
SPECIES
M, mercenarla
M. mercenaria
M. mercenarla
M. mercenarla
M. mercenarla
M. mercenarta
M. mercenarla
Mixed
Total number of samples
Percent of samples positive for indicated compound
NUMBER OP
SAMPLES '
13
71
71
74
73
57
57
9
1,059

NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (^G/KG)
DDT
43 (188)
49 (83)
51 (132)
41 (107)
49 (64)
43 (98)
51 (111)
9 (159)

81
DffiLDRIN
19 (46)
13 (49)
10 (53)
16 (59)
13 (42)
13 (38)
19 (20)
3 (31)

43
1 Each sample represents 15 or more mature mollusks.
    TABLE J-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                                collection—New York
                     [Blank = no sample collected; — = no residue detected above 5 ppb; T = >5 but <10 ppb]
YEAR
COMPOUND
RESIDUES IN PPB (#G/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov.
DEC.
                             STATION 1.—MAMARONECK—M. MERCENARIA—36 SAMPLES1
1966



1967



1968



1969



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
— T — — — — T16T
— T — 13 T 12 18 49 29
	 	 	 	 	 	 	 14 13
___ ____2912
T 19 12 11 11 11 T T T 12 T T
35 50 31 27 27 28 20 15 26 28 32 30
24 27 11 11 11 15 T T — T 14 T
16 21 16 16 15 15 15 14 14 13 14 15
T T T1110T ___ — — T
27 25 27 30 27 26 22 20 20 18 23 19
T — — T 12 15 T — — — — —
,1 12 14 11 12 — 10 12 12 11 IS 14
— 10 —
18 24 13
_ _ _
11 11 —
304
PESTICIDES MONITORING JOURNAL

-------
   TABLE J-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                       collection—New York—Continued
YEAR
COMPOUND
RESIDUES IN PPB US/KG)
JAN. FEB. MAP..
APR. MAY JUNE JULY Auo. SEPT. OCT.
Nov. DEC.
          STATION 2.—HEMPSTEAD HARBOR—M. MERCENAR1A, UNLESS OTHERWISE INDICATED—74 SAMPLES"
1966 DDE
TDE
DDT
Dieldrio
1967 DDE
TDE
DDT
Dieldiin
1968 DDE
TDE
DDT
Dieldiin
1969 DDE
TDE
DDT
Dieldrin
1970 DDE
TDE
DDT
Dieldrin
1971 DDE
TDE
DDT
Dieldrin
1972 DDE
TDE
DDT
Dieldrin




T
17
—
—
11
29
11
12
—
12
—
47
"41
71
76
29
'10
22
18
10
' 19
41
22
19




14
36
13
15
13
31
—
16
10
29
T
70
11
33
15
30
'13
26
31
14
'17
—
24
14
_
—
—
—
13
35
13
16
13
31
10
14
"15
33
34
22
324
51
62
30
»13
33
34
16
323
48
44
19
	
—
—
—
12
30
11
17
13
34
10
15
"16
34
38
86
>13
28
29
25
"15
38
44
31
"34
67
53
21
	
—
—
—
12
33
15
15
10
26
10
20
18
18
12
85
"12
33
54
30
820
27
23
—
>9
15
9
—
T
29
13
—
14
39
28
19
T
27
—
16
15
19
T
13
"18
48
70
33




—
T
—
T
—
—
—
—
T
23
15
15
—
17
T
—
T
22
T
33
10
22
17
20
—
16
10
13




'24
48
26
—
T
25
16
17
—
18
—
—
—
10
—
38
10
35
18
18
"16
37
30
21




T
17
—
—
12
29
—
15
—
17
—
11
"34
93
74
132
321
71
28
26








11
29
—
—
13
30
T
16
T
24
—
50
'30
62
49
28
•18
40
35
22
»13
31
17
19




15 13
39 35
17 14
17 15
12 10
32 30
11 11
14 16
— T
22 23
— —
93 66
'23 "26
57 57
47 46
40 31
>18 '20
48 50
43 51
19 25
»22 »23
46 58
32 51
23 20




         STATION 3.—OYSTER BAY HARBOR—M. MERCENARIA, UNLESS OTHERWISE INDICATED—73 SAMPLES »
1966



1967



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
— — —
— — —
— — 13
— _ _
13 T T T T
50 15 19 14 20
18 — — — —
10 — 14 13 14
—
—
—
—
T
22
13
14
	 	 	 	
— T — —
— — — —
— — — _
— T T T
26 17 13 T
T 12 — —
11 14 — 12
T
22
T
13
T
13
	
11
T
11
—
11
T
15
__
—
VOL. 6, No. 4, MARCH 1973
                                                                                                          305

-------
    TABLE J-2.—Distribution of organochlorine residues in  the monitored species for each sampling station by date of
                                       collection—New  York—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/ZG/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY Auo.
SEPT. OCT.
Nov. DEC.
     STATION 3.—OYSTER BAY HARBOR—M. MERCENARIA. UNLESS OTHERWISE INDICATED—73 SAMPLES "—Continued
1968



1969



1970



1971



1972



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDV
Dieldrin
ODE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
T
16
—
—
—
—
—
T




'19
38
16
18
' 18
36
24
12
T
T
—
—
T
T
—
T
•27
52
20
31
«19
38
T
25
M9
31
18
15
	
—
—
11
—
—
—
12
= 10
19
11
12
«22
45
15
27
—
T
—
—
T
T
—
—
"11
25
16
17
—
—
—
37
—
T
—
16
—
—
—
10
T — —
11 — T
— — —
_ _ _
»24 — —
28 11 15
32 — T
24 86 16
"21 T * 16
44 16 37
34 T 24
23 11 19
"13 —
32 T
18 —
18 10
'10 • 13
24 22
10 11
11 19
	 __ _ 	
— — —
— — —
_ _ —
— — «27
— — 55
— — 17
— 17 —
T '22
18 48
T 20
16 29
— « 19 '23
— 30 41
— 13 10
— 21 20




___
—
—
—
T
13
—
15
•27
55
15
30
M9
34
17
14




	
T
—
10
—
T
—
18
* 24
50
16
26
'23
44
18
17




               STATION 4.—HUNTINGTON BAY—M. EDUL1S, UNLESS OTHERWISE INDICATED—74 SAMPLES'
1966



19676



1968 «



1969



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin




20 27
88 65
44 20
21 —
T —
27 40
- T
II 11
°— Ml
26 28
— —
1 T
5T
16
—
—
21
54
17
11
12
49
—
—
sT
32
—
T
6 	
—
—
—
19
57
12
11
16
48
T
12
18
35
21
11
= 32
75
81
—
19
54
24
—
15
46
14
—
6T
24
21
14
98
280
210
—
16
63
26
12
12
35
—
—
«30
104
46
104
"53
190
60
18
T
50
13
12
—
35
T
—
29
100
50
26
40
110
25
13
13
40
11
12
—
49
—
—
5 15
23
—
T
0 	 •> 	
— T
— —
— —
12 T
39 27
— —
11 —
— T
43 47
- —
— —
34 24
127 73
47 28
18 —
= 21
64
17
12
T
22
—
—
T
60
T
11
28
84
55
23
629
71
16
T
17
56
12
12
10
48
11
T
30
80
50
34
306
                                                                              PESTICIDES MONITORING JOURNAL

-------
   TABLE J-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                       collection—New York—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IO/KO)
JAN. FEB. MAR. APR.
MAY JUNE JULY Auo. SEPT. OCT.
Nov. DEC.
         STATION 4.—HUNTINGTON BAY—M. EDVLIS, UNLESS OTHERWISE INDICATED—74 SAMPLES i—Continued
1970



1971



1972



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
38
90
61
18
21
70
35
17
—
T
—
—
15
58
40
16
18
57
30
18
14
33
20
13
23
60
49
17
15
50
24
22
17
40
15
15
_
22
12
38
11
37
22
14
15
36
18
12
20
50
40
22
21
51
22
—
10
20
—
—
13
59
40
21




14
41
15
60
21
146
55
26
15
63
22
21




20 19
70 40
29 44
21 26
26
74
27
14




20
66
28
22
33
14
T
13




24 21
89 73
28 29
17 17
21 19
56 60
23 28
— 14




             STATION 5.—NISSEQUOGUE RIVER—M. EDVLIS, UNLESS OTHERWISE INDICATED—74 SAMPLES >
1966 DDE
TDE
DDT
Dieldrin
1967 DDE
TDE
DDT
Dieldrin
1968 DDE
TDE
DDT
Dieldrin
1969 DDE
TDE
DDT
Dieldrin
1970 DDE
TDE
DDT
Dieldrin
1971 DDE
TDE
DDT
Dieldrin




—
33
13
13
14
32
20
14
° —
—
—
T
16
37
25
27
14
30
24
14




23
53
27
17
16
33
18
18
-T
T
—
T
17
44
33
17
T
16
12
T
21
33
23
16
24
59
29
27
13
36
21
16
'T
14
T
T
= T
18
T
10
3T
17
T
17
21
47
37
20
21
50
33
27
17
40
23
18
12
30
22
16
—
16
T
16
3 	
15
T
20
24
45
50
23
23
18
45
27
17
44
42
—
»T
12
11
12
21
46
38
23
3 	
12
—
T
18
49
34
—
21
51
42
22
13
49
51
—
3 	
T
T
117
14
37
26
20




T
17
13
—
18
42
33
18
11
44
47
—
'15
22
14
—
18
48
34
24
10
38
20
27
19
43
30
—
14
38
32
19
—
31
25
—
• —
T
—
T
15
46
30
25
"17
T
—
—
17
38
29
—
20
49
33
15
E 	
—
	
—
10
34
17
24
3T
17
—
T




22
48
22
—
19
42
27
15
G 	
—
. —
—
14
35
30
21
14
38
22
24
"14
10
—
13
42 40
76 59
20 30
31 17
17 18
35 44
18 32
14 17
6 	 B 	
— T
— —
— li.
18 20
49 42
36 25
20 20
11 "T
29 14
17 —
12 T
11 » —
34 T
13 —
10 —
VOL. 6, No. 4, MARCH 1973
                                                                                                            307

-------
    TABLE J-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                       collection—New York—Continued

YEAR o»u»nTiun


RESIDUES IN PPB (AO/KQ)
JAN.
STATION 5.— NISSEQUOGUE
1972



DDE
TDE
DDT
Dieldrin
a —
12
—
10
FEB.
MAR. APR
RIVER— M. EDVLIS,
15
33
18
13
3T a —
12 T
T —
T —
MAY JUNE JULY Auo. SEPT. OCT. Nov. DEC.
UNLESS OTHERWISE INDICATED— 74 SAMPLES i— Continued
T T
20 14
10 T
T 12
               STATION 6.—CONSCIENCE BAY—M. EDVLIS, UNLESS OTHERWISE INDICATED—73 SAMPLES »
1966



1967



1968



1969



1970



1971



1972



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
»T
18
IS
—
18 23 18
48 43 33
24 23 18
17 20 20
14 16 14
23 24 22
14 13 17
15 14 14
6 	 6 	 6 	
— — —
— — —
— T T
17 22
37 37
25 36
16 19
a T af • —
12 IS 13
T 10 —
T 14 22
•— —
10 18
— 14
— T
a —
—
12
12
18
34
21
30
15
27
19
14
16
23
M4
14
a 	
11
—
20
16
29
13
18
a 	
T
—
—
6 	
—
—
—
20
42
29
24
T
24
21
—
IS
24
32
15
25
49
36
26
MO
15
—
—
—
11
—
75
"18
26
15
—
22
44
41
22
12
24
21
—
•16
36
48
—
21
45
29
20




13
21
—
49
6 	
—
—
—
21
48
36
21
6 —
—
—
—
•18
22
20
T
24
59
28
23
• T
24
10
10




B_ JO
— 35
— 22
— —
21 20
44 36
35 24
16 13
6_ «_
— —
— —
— —
• 14 « 13
20 14
— T
— 15
26 » —
59 17
27 —
23 T
a 	 a —
13 13
— T
10 17




21
34
22
—
18
31
21
15
6 	
—
—
—
17
29
15
26
24
46
24
16
T
16
T
T




24
46
30
25
17
29
18
14
•> —
-
—
—
23
39
26
18
23
37
15
T
12
23
11
T




•17
40
17
—
16
31
20
13
• —
—
—
T
21
36
17
13
18
26
14
10
•T
11
—
11




308
PESTICIDES MONITORING JOURNAL

-------
    TABLE J-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—New York—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IO/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov.
DEC.
                STATION 7.—SOUTHOLD—C. V1RG1N1CA, UNLESS OTHERWISE INDICATED—34 SAMPLES»
1969



1970



1971



1972



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dleldrin
DDE
TDE
DDT
Dleldrin




« 16
32
21
—
ST 17
16 19
— 14
21 12
16 17
27 17
16 T
14 11




29
30
26
21
17
19
11
14
18
22
T
T
•22
48
28
—
27
32
23
20
18
17
12
16
16
21
11
10
•T
11
—
78
27
35
22
26
6 	
—
—
14
MO
18
—
T
6 r- -
T
—
T
• 10
13
—
T




21
28
31
39
« 22 5 T « T
38 14 T
89 — —
— — —
21 19 17
18 19 21
22 23 18
11 27 14
10 «— «_ • —
10 T T —
jq 	 r , 	
— — 12 —




"20
41
63
T
22 20
21 21
IS 12
IS 14
MS —
18 16
13 —
T T




              STATION 8.—FLANDERS BAY—M. MERCENARIA, UNLESS OTHERWISE INDICATED—69 SAMPLES >
1966


1967


1968


1969



1970



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dleldrin
DDE
TDE
DDT
Dieldrin
56
54
89
15 18 25
20 27 42
— _ _
13 10 12
25 17 25
— — —
— T -12
12 32 25
— — -
- — —
14
26
—
11
28
25
29
23
32
—
17
41
—
»33
84
27
—
•T
22
12
—
22
21
15
'23
58
12
10
24
—
15
33
—
17
13
30
—
—
24
44
—
»20
53
12
19
59
—
14
28
—
107
3 14
29
—
—
—
—
—
17
46
—
10
44
—
10
19
—
11
' 14
29
T
T
11 T Ty 10 17
23 14 — 15 23
— — — — —
17 16 17 16 15
47 36 .42 37 33
T — — — —
T 10 — T 10
38 38 18 39 34
— — — — —
12 «20 — 13
23 49 T 28
— 75 — —
— 14 93 —
'T T »T
19 T 14
— 	 , 	
T — —
VOL. 6, No. 4, MARCH 1973
                                                                                                           309

-------
    TABLE J-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—New York—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/«J/KG)
JAN. FEB.
STATION 8.— FLANDERS BAY— M.
1971



1972



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
— T
10 16
— —
10 T
T —
12 —
— —
T —
MAR. APR.
MERCENARIA.
— T
— 16
— —
12 13
— —
— 10
— —
— —
MAY JUNE JULY Auo. SEPT. OCT. Nov.
UNLESS OTHERWISE INDICATED— 69 SAMPLES >— Continued
"16 a— T 13 •- —
50 16 12 24 —
15 — — — —
T — — T —
— —
T —
— —
— —
DEC.

—
11
—
—




                STATION 9.—MECOX BAY—C. VIRGINICA, UNLESS OTHERWISE INDICATED—67 SAMPLES 1
1966


1967


1968


1969



1970



1971



1972



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
300
240
56
63 67 77
66 60 62
— — —
100 53
81 48
— —
44 62 26
31 45 20
— — —
— — —
3 19 s 21
27 27
52 49
— —
30
24
—
—
45 37 26
52 39 26
13 T —
10 T 10
120
120
22
T
11
—
130
87
20
60
39
T
—
16
14
10
—
41
32
T
12
34
40
T
—
'22
41
20
a 37
67
29
150
120
38
'20
31
24
12
32
45
—
T
34
34
T
T
26
27
—
T
'T '27 '21 3— 46 42
13 45 29 — 46 37
— 19 — — 12 —
190 a 15 49 64 69 93
180 22 52 74 74 100
27 T 18 17 11 15
130 68 32 34 37 75
85 48 29 18 32 50
48 T — — — —
a21 a 19 ax > 10 3— a 12
29 21 10 10 — 23
10 — — — — —
. 	 	 22 	 	 	
* 16 21 22 36 ' T
36 25 38 48 10
32 T 13 13 —
10 — — 16 —
T 14 37
10 15 40
— — 15
— 10 19
35
38
12
—
83
83
—
110
73
T
30
18
—




'T
12
—
10
35
46
T
—




310
PESTICIDES MONITORING JOURNAL

-------
   TABLE J-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                       collection—New York—Continued
YEAR
COMPOUND
RESIDUES IN PPB (AC/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY Auo.
SEPT. OCT. Nov.
DEC.
         STATION 10.—SHINNECOCK BAY—M.  MERCENARIA, UNLESS OTHERWISE INDICATED—73 SAMPLES
1966


1967


1968


1969



1970



1971



1972


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
— — — »T
— — — T
— — — —
T T T 59 T t
12 12 12 50 T T
	 	 	 	 	 T
	 	 	 	 	 —
______
______
_ _ _ T "20 —
— T — T 38 T
— — — — 21 —
— — — — 14 T
'11 a_ a_ 3_ aio "18
18 13 T — 19 34
— — — — T 21
14 — 12 — — 12
'10 ' T = — 3 _
17 18 10 10
12 14 T —
10 10 — —
3 — 3_ 3_ an a_ an
T T — 22 11 165
— — — 12 T 12
— T —
— 14 —
— — —
— T —
— T —
— — —
_ — _
_ _ _
— — —
— '12 ' 14
T 21 20
- 12 T
— — T
'10 '12
18 22
24 20
T T
a 	 _ 	
— — T
— — —
— 44 18



— — T
— — 13
__ — — —
T — —
T — I--.
— — —
— — —
10 — T
— — —
MO • — M3
16 — 24
T — 22
46 — —
s_ s_ «T
— T 11
T _ _ —
12 — —
3_ „_ a_
— — T
— — —
T T —



            STATION 11.—MORICHES BAY—M. MERCENARIA, UNLESS OTHERWISE INDICATED—71 SAMPLES *
1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
__ — T ____M5 T
_ — — 10 — — — — 33 14
— — — — — — — — — —
TTTTTT TTTTT —
13 14 18 13 18 17 10 T 17 T 18 —
____________
T — T T — _______
10 — 14 T — — — T — 12 T T
— — — — — — — — — — — —
— — — — — — — — — — —
— 11 — — 13 — TT — — T
_______ __24 —
VOL. 6, No. 4, MARCH 1973
311

-------
    TABLE J-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—New York—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IO/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
        STATION 11.—MORICHES BAY—M. MERCENARJA, UNLESS OTHERWISE INDICATED—71 SAMPLES i—Continued
1970



1971



1972



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
—
T
—
—
T
10
—
T
3 17 =16
27 20
19 T
T —
T
13
T
—
"20
27
15
T
a 17
27
—
—
—
—
—
—
2 18
25
14
16
"20
26
15
T
T T 'T "20
14 20 21 40
— — 11 23
— T — —
— — —
11 — —
— _ _
— — 17
a 17 « 25
13 33
— 22
— 49
225
29
17
14
— "22
T 15
— 17
18 —




»25
19
17
T
' 10
26
T
T




'13
13
T
—
a 21
34
25
T




             STATION 12.—BELLPORT BAY—M. MERCENARIA, UNLESS OTHERWISE INDICATED—71 SAMPLES'
1966 DDE
TDE
DDT
1967 DDE
TDE
DDT
1968 DDE
TDE
DDT
1969 DDE
TDE
DDT
1970 DDE
TDE
DDT
Dieldrin
1971 DDE
TDE
DDT
Dieldrin
1972 DDE
TDE
DDT
Dieldrin
57 — — 12
44 — 10 27
31 — — T
20 21 24 19 12 12
42 40 45 36 30 31
	 	 	 	 f 	
15 13 15 30 10 T
28 24 27 50 23 14
— — — — — —
— T — "25 T —
— 10 — 50 10 15
• — — — 33 — —
T — 11 10
13 — 26 17
	 	 	 -j-
	 	 	 -j-
— T T — —
10 12 11 13 10
_____
— — 12 T T
_____ T
— T T T — —
_____.—
— 16 — — — —
T T T 14 16 10
18 13 16 28 30 20
— — — — — —
11 10 15 T 13 14
25 19 26 20 22 27
	 «T- 	 	 	 	
T - T — — —
12 — T - — T
— — — — — —
*T- 	 	 	 , 	
18 — — — —
. _ _ — - _ —
T T — — —
21 17 — 11 —
_____
— — 37 T —
__ — — _ —
	 . 	 	 . 	 	 f
______
T — 10 — — 53




312
PESTICIDES MONITORING JOURNAL

-------
    TABLE J-2.—Distribution of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—New York—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IG/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov.
DEC.
               STATION 13.—SAYVILLE—M. MERCENARIA, UNLESS OTHERWISE INDICATED—74 SAMPLES'
966


1967


1968


1969



1970



1971



1972



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
_ _ _ T ____-T
__T10 — — — — — 1°
— — T T ___ — — —
TT11TTT T T T — T T
14 19 24 16 24 14 T 10 T — 16 19
T — — — T — — T — — — —
______ T____-
T --<-- 	 __ __
______ ______
______ ___— »11 T
________ T T2413
______ ______
— — — — — — — — 59 — 19 12
— — — — — T — TT 10 — T
T 13 11 — T 16 T 14 16 12 T 20
— — — — — T 10 — TT — 10
— T — — — T — — — T10T
T — — — — — — ___
12 T 11 11 10 — — — — 16
— — — — — __ _ _ 12
T T — — — 13 _ 41 T 11
•22 '22 — 17 — —
56 38 — 16 — —
29 T T 10 — T
15 — _ 11 — _
                             STATION 14.—AMITYVILLE—M. MERCENARIA—73 SAMPLES'
1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
— — — — — ___T T
— — ,, — 18 — — — — 10 17
— — — — — — — — — —
TTTTTT — — _ _ T —
20 15 16 16 18 14 17 13 T 11 14 —
T---T — -T — ___
— — -T — — T — T — — _
— — — 13 — — 11 TT — 13 T
— — — — — — — — — — __
VOL. 6, No. 4, MARCH 1973
                                                                                                           313

-------
     TABLE J-2.—Distribution of organochlorine residues-in the monitored species for each sampling station by date of
                                         collection—New York—Continued
YEAR
COMPOUND
RESIDUES IN PPB (JIG/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG.
SEPT. OCT. Nov. DEC.
                         STATION  14.—AMITYVILLE—M. MERCENARIA—13  SAMPLES *—Continued
1969



1970



1971



1972



DDE
TDE
DDT
Dieldrln
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
— — — __•_____ 20 —
— T — T 14 — T — 11 T 11 —
— — — — — — — — — T33 —
— — — — T — — — T — T T
— — — 10 T T T — — — —
11 — T 20 19 15 15 10 T T 10
	 _ 	 1 -1 	 ___ 	 __ __ 	 -
— T — T — — — — 18 — T
— — 	 	 	 — 	 — — —
11 12 T 16 — T T 10 — 10
____ _ _ T — — —
— — 10 10 — — T — 42 —
T 	 	 	 	 	
16 T T T — —
T 	 	 	 	 	
11 — — — — —
               STATION 15.—EAST BAY—M. MERCENAR1A, UNLESS OTHERWISE INDICATED—57 SAMPLES »
1966


1967


1968


1969



1970



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
	 	 	 	 	 	 	 	 T x
__T — — — — — 1819
__T — — — — — T —
T — TT — T — — — TTT
21 12 13 15 19 19 15 T T 13 T 14
T — — — T T TT — — — T
TTT — — — — — — —
16 10 12 — — T — 12 — T
____ _______
__________ T
16 10 — — 16 14 14 T T T 16
_________T
— — — — T 10 16 17 T 14 14
_ _ _ MO
T 12 T 21
— — — 18
— T — 16
314
PESTICIDES MONITORING JOURNAL

-------
    TABLE J-2.—Distribution  of organochlorine residues in the monitored species for each sampling station by date of
                                        collection—New York—Continued
YEAR
COMPOUND
RESIDUES IN PPB (AC/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT.
OCT. Nov. DEC.
          STATION 15.—EAST BAY—M. MERCENARIA, UNLESS OTHERWISE INDICATED—57 SAMPLES'—Continued
               STATION 16.—WEST BAY—M. MERCENARIA, UNLESS OTHERWISE INDICATED—57 SAMPLES 1
1971 DDE
TDE
DDT
Dieldrin
1972 DDE
TDE
DDT
= 12 »T
29 21
29 11
15 11
	 3 "J"
T 14
— T
= 18 " —
57 19
23 12
38 11
» _ 0 	
•p 	
— —
— T
15 26
10 23
— —



1966


1967



1968


1969



1970



1971



1972


DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
1 Dieldrin



T T T
20 17 24
13 T 12
	 	 j j

20
—
_. T
19 20 T
— — -
— — -
— T
13 20
— 11
— 14
- 11
23
28
T
—
10 18
14
T
-T-----TT
- 15 — - 13 — — 26 22
— T — — — — — 14 13
— T 10 T T — T T T
24 27 32 — 17 T 20 14 19
18 17 14 — 13 — — — 13
12 10 — — — — — —
r T T —— — — — —
18 13 17 T 15 14 16 15 14
T__-____-
- 11 ----- 10
— 28 13 18 19 14 21 2i
33 T - - - 12 43
- T T 18 17 20 12 17
. 0 rj.
19 15
40 15
T x
"T '15 .._ - 10
22 47 15 14 25
12 44 _ T 20
10 16 - T 10
— "30 "13
T 59 28
— 22 T
— — —
Each sample represents 15 or more mature mollusks
M. edulis.
M. arenaria.
C. \irginica.
- M. mercenaria.
c M. demissus.
VOL. 6. No. 4, MARCH  1973
                                                                                                              315

-------
SECTION K.—NORTH CAROLINA
The monthly collection of eastern oysters, Crassostrea
virginica, to monitor pollution was initiated in July 1966
and continued until July 1972. During the program, 17
stations  were  sampled  routinely  for periods  ranging
from  3 to 6  years. All samples were analyzed  by the
Gulf Breeze Laboratory.

Approximate station locations are shown in Fig. K-l. A
summary of  data  on  organochlorine  residues  in the
monitored species,  C.  virginica, is presented  in  Table
K-l, and the  distribution of  residues  in this species for
each  sampling station  by  date of collection  in  Table
K-2.

North Carolina  samples are noteworthy for  the con-
tinuity of collections of  a  single species  of mollusk at
short intervals over a relatively long  period of  time.
For this reason the data present a good picture of annual
and seasonal  trends of  a persistent synthetic  pollutant
in this estuarine environment.

The incidence of DDT  residues (75%) and maximum
magnitude (566  ppb)  are about the  median  of  the 15
Slates monitored. The 1 % incidence of dieldrin residues
was somewhat lower than most other states. PCB com-
pounds were  not  detected.

Although there are exceptions from one  estuary  to an-
other, the magnitude of  DDT residues in oysters showed
little seasonal variation during the period  1967-69  when
maximum levels of DDT pollution were detected. The
overall  decline  in  DDT  residues (Part I. Table  7 and
Fig. 2)  is notable and undoubtedly associated with the
decreased  agricultural  use  of (his chemical  in  North
Carolina.
FIGURE K-l.—Diagram of coastal North Carolina showing
       approximate location of monitoring stations
                I.  Wanchese—Croatan Sound
                2.  Salvo—Pamlico Sound
                3.  Wysocking Bay
                4.  Rose Bay
                5.  Bay River
                6.  Neuse River
                7.  Point of Marsh—Neuse River
                8.  West Bay
                9.  Back Bay—Core Sound
               10.  Jarrett Bay—Core Sound
               11.  North River
               12.  Newport River
               13.  Bogue Sound
               14.  White Oak River
               15.  New River
               16.  Wrightsville Beach—Wrightsville Sound
               17.  South port—Cape Fear River
               18.  Shallotte River
TABLE K-l.—Summary of data on organochlorine residues in the monitored species (C. virginica), 1966-72—North  Carolina
SlA'IION
NUMBER
1 -
2 v*
.1
4 '
5 "
ft
7 *
8
9
10 •
II •
12 •
LOCATION
Wanchesc
Salvo
Wysocking Bay
Rose Bay
Bay River
Ncusc River
Point of Marsh
West Bay
Back Bay
.larrett Ba%
North River
Newport Rivei
MONI TORINO
PERIOD
1966-72
1966-72
1 966-70
1966-72
1966-72
1966-70
1966-72
1967-72
1966-67
1966-72
1966-72
1966-72
NUMBER or
SAMPLES l
72
71
43
71
71
4.1
7!
58
9
66
64
68
NrMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED' IN PPB (^G/KO)
DDT
49 (264)
58 (566)
35 (64)
46 (121)
69 (310)
43 (176)
53 (139)
34 (74)
8 (103)
42 (106)
48 (172)
54 (121)
DIELDRIN



3 (14)
2 (12)

2 (19)



2 (10)
3 (13)
                                                                                PESTICIDES MONITORING JOURNAL

-------
      TABLE K-l.—Summary of data on organochlorine residues in the monitored species (C. virginica), 1966-72—
                                              North Carolina—Continued
STATION
NUMBER
13
14
15 *
16
17 »
18
LOCATION
Bogue Sound
White Oak River
New River
Wrightsville Beach
Southport
Shallotte River
MONITORING
PERIOD
1967-72
1966-70
1966-72
1966-70
1966-72
1966-70
Total number of samples
Percent of samples positive for indicated compound
NUMBER OF
SAMPLES l
51
43
72
43
72
43
1,031

NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (^G/KC)
DDT
33 (71)
30 (60)
61 (118)
35 (57)
32 (116)
38 (51)

75
DlELDRIN







1
* Data from these stations summarized in Part I. Table 7. and Fig. 2.
1 Each sample represents 15 or more mature mollusks.
        TABLE K-2.—Distribution of organochlorine residues in C. virginica for each sampling station  by dale of
                                              collection—North Carolina
                       [Blank = no sample collected; — = no residue detected above 5 ppb; T = >5 but <10 ppb]
YEAR
COMPOUND
RESIDUES IN PPB (^G/KG)
JAN.
FEB.
MAR.
APR.
MAY JUNE JULY
AUG.
SEPT.
OCT.
Nov.
DEC.
                                         STATION 1.—WANCHESE—72 SAMPLES'
1966


1967


1968


1969


1970


1971


1972


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



14 25 28 16
16 20 32 17
15 10 17 —
140 140 85 78
56 51 59 16
68 29 37 42
40 17 13 10
15 16 18 10
T T 11 —
T T 13 T
11 T 15 «•
— — T —
_ _ _
— _ _ _
— _ _ _
	 	 . . L -r
— — — _
— — — —



26 21
32 31
29 21
62 T
32 T
86 —
37 11
44 21
43 T
17 —
19 —
— —
— T
— —
— —
— T
— 10
— —
19 20
12 17
13 —
21 19
35 15
64 17
30 —
13 —
12 —
T 10
21 10
19 13
— —
— —
— —
— 	
— —
— —



12 22
T 17
T 22
20 24
15 11
13 17
43 35
22 27
60 49
— T
— T
— —
— 	
— 11
—
_
	 	
— —



20 20
18 32
— 11
43 28
57 10
64 53
29 21
16 15
57 —
T 12
13 15
	 •J1
__ 	
	 	
_ „

— _
	 	



VOL. 6, No. 4, MARCH 1973
                                                                                                                    317

-------
       TABLE K-2.—Distribution of organochlorine residues in C. virginica for each sampling station by  date of
                                      collection—North Carolina—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IO/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY Auo. SEPT.
OCT.
Nov.
DEC.
                                        STATION 2.—SALVO—71 SAMPLES '
1966


1967


1968


1969


1970


1971


1972


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



26
11
T
35
16
20
100
31
87
23
25
14
16
17
T
—
—
—



24
13
T
85
26
50
73
31
35
34
27
20
15
16
—
—
—
—



31
21
T
66
20
36
100
38
50
24
20
13
—
—
—
—
—
—



35
25
11
8S
24
21
59
27
22
19
16
10
17
18
—
T
—
—



24
21
19
65
37
28
120
51
67
27
33
19
21
21
11
13
T
—



21
30
21
34
29
19
39
38
16
14
20
—
—
—
—
13
22
—
12
—
—
17
21
29
58
38
87
27
37
28
—
—
—
12
14
—



14 14 14
17 — 17
— — —
24 120
19 56
44 390
28 95 45
21 40 33
36 240 76
— 15 13
— 21 15
— T T
12 11 —
17 — —
14 — —
_ _ _
— — —
_ _ _



32
28
28
74
45
190
58
37
120
10
19
—
10
—
—
—
—
—



23
17
15
87
29
66
66
35
80
15
13
11
19
16
11
—
—
—



                                    STATION 3.—WYSOCKING BAY—43 SAMPLES »
1966


1967


1968


1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



T 14 15 17 16 12
12 17 17 22 29 22
T 10 — — 14 13
T T T 18 13 15
T T — 20 20 13
.- — — — T 13
T T 12 T T
14 - — 16 T T
_ ._ _ T — —
T
T
T
17 —
17 —
— —
15 T
35 T
14 T
— T
— T
— —
T T
T
T 12



17 T T T
18 13 12 11
20 — — —
— — T 10
— — T 15
	 	 T T
T — T —
T — 13 —
21 — — —
T T 14
T 12 19
_ — — 12



.IIS
                                                                               PESTICIDES MONITORING JOURNAL

-------
       TABLE K-2.—Distribution  of organochlorine residues in C. virginica for each sampling station by date of
                                      collection—North Carolina—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/K;/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                       STATION 4—ROSE BAY—71 SAMPLES'
1966


1967


1968


1969


1970



1971



1972


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT



12 T 23 15 16 15
18 14 32 26 32 30
T T T 11 16 40
T T 13 15 21 14
T T 12 15 27 25
— — — 22 13 T
11 16 11 T 12 T
15 18 12 — 17 T
20 — — — T —
17 13 14 T T
19 19 19 — 15
15 10 10 — —
— — 14 — —
_ _ _ _ T —
	 	 	 	 JJ 	
— — — — — —
— — 10 — 12 —
______
— — — — — —
— — — — — —
28
34
21
35
63
23
T
T
—
T
T
T
11
19
12
—
—
—
—
—



16 19 18 16 20
13 22 23 23 36
— 32 16 T 14
T T — 14 12
15 10 — 30 15
13 T — 19 T
_ T T T 16
— T 17 17 17
— T T T 29
T 12 T — 10
13 17 T — 14
69 — — — T
_____
— — — — —
— — — — —
— — — — —
_____
_____
_____
— — — — —



                                      STATION 5.—BAY RIVER—71 SAMPLES 1
1966 DDE
TDE
DDT
1967 DDE
TDE
DDT
1968 DDE
TDE
DDT
1969 DDE
TDE
DDT



36
69
23
35
35
26
19
25
T



30
49
16
44
43
32
29
39
20



ei
100
35
37
24
28
36
36
37



39
56
20
52
49
47
43
56
37



32
65
27
75
71
55
54
59
32



29
56
19
22
33
T
45
80
17
36
16
29
22
46
27
18
24
13
37
71
26
55
78
25
15
48
27
23
28
18
18
16
18
52
73
34
T
T
—
13
15
12
T
T
14
23
46
19
28
43
51
T
—
—
13
T
—
30 26
61 60
11 20
25 24
34 46
— 16
24 16
36 21
29 T
T 20
20 35
— 21
VOL. 6, No. 4, MARCH 1973
                                                                                                              319

-------
       TABLE K-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                      collection—North Carolina—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/U>/KO)
JAN. FEB. MAR.
APR.
MAY JUNE JULY Auo. SEPT. OCT.
Nov.
DEC.
                                  STATION 5.—BAY RIVER—71 SAMPLES1—Continued
1970


1971



1972



DDE
TDE
DDT
DDE
TDE
DDT
Dleldrin
DDE
TDE
DDT
Dleldrin
24
33
17
12
15
—
—
16
11
—
—
40 36
43 29
33 18
16 —
13 —
10 —
.i. —
41 —
37 —
21 —
— —
42
31
14
22
21
—
-
71
48
37
—
55
94
22
110
170
30
10
85
130
87
12
10
27
—
16
19
—
—
43
91
43
—
15 11 13 — 23
23 12 22 16 39
18 — 14 — 13
52 49 18 17 13 T
97 96 34 26 11 —
27 22 — 18 12 —
______




                                      STATION 6.—NEUSE RIVER-^t3 SAMPLES »
1966


1967


1968


1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



17 16 24 29 21 16
29 28 41 50 42 30
— T T T T 16
19 20 15 30 49 32
24 25 15 44 110 68
11 T — 27 17 15
20 17 23 16 37 29
17 13 26 23 56 75
10 T 11 — 20 21
27
45
17
29
46
13
19
37
25
26
42
19
30
40
20



18
24
15
14
33
14
29
56
39
13
23
11



32
48
49
20
32
14
13
22
T
T
T
—



36
57
30
25
47
13
T
T
—
10
17
—



24
55
13
24
49
T
19
32
T
T
19
—



29
60
18
24
46
T
25
25
20
16
35
16



                                    STATION 7.—POINT OF MARSH—71 SAMPLES»
1966



1967


DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
33
37
38
T
15 17 22 20 20 33 13
29 24 28 32 39 82 26
15 10 — 11 45 24 27
26
26
28
—
22
24
33
15
20
25
—
11
19
10
29
31
19
—
12
19
27
16
33
16
—
11
18
15
20
40
16
—
18
25
10
320
                                                                               PESTICIDES MONITORING JOURNAL

-------
       TABLE K-2.—Distribution of organochlprine residues in C. virginica for each sampling station by date of
                                     collection—North Carolina—Continued
YEAR
COMPOUND
RESIDUES IN PFB (AO/KO)
JAN. FEB. MAR.
APR.
MAY JUNE JULY AUG. SEPT. "OCT.
Nov.
DEC.
                              STATION 7.—POINT OF MARSH—71 SAMPLES >—Continued
1968


1969



1970


1971


1972


DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
11
15
T
13
14
—
—
11
21
T
—
—
—
11
20
—
	
—
—
T
14
T
—
22
29
IS
T
T
—
—
—
—
12
18
—
12
17
T
—
20
21
—
T
T
—
—
—
—
18
23
21
T
13
—
—
T
12
—
T
32
—
T
—
—
11 15
18 20
10 16
T T
T 11
— —
— —
T
17
—
T —
— —
— —
T —
T —
— —
10 15 — T 14 11
13 19 — T 21 16
11 21 — — — —
10 37 — T T T
16 27 — T 11 10
18 48 — T 12 —
— 19 — — — —
	 	 	 	 T 	
_ _ _ _ T —
______
_____ T
_____ T
_____ T



                                      STATION 8.—WEST BAY—58 SAMPLES '
1967 DDE
TDB
DDT
1968 DDE
TDE
DDT
1969 DDE
TDB
DDT
1970 DDE
TDE
DDT
1971 DDE
TDE
DDT
1972 DDE
TDE
DDT
18 25 22
25 39 22
T 11 13
T 11 25 T 16 11
— 11 30 T 13 T
— — 19 — T —
16 T 20 16 11 T
10 T 17 19 T 12
T — 12 12 10 T
— — —
— _ _
— — _
— T — — T —
— T — _ _ _
— — — — __
— 13 14 11 —
— 10 T T —
— — — — —
14 T — 16 T 15
19 T — 22 10 24
11 T — 17 12 15
— T — T — 10
— T — — — 16
— 15 — — — _
12 — — — T T
16 — — — 16 17
T - - _ _ T
— — — — T T
— — — — T 16
— — — ___
— — — T —
— — — T —
— — — T —



VOL. 6, No. 4, MARCH 1973
                                                                                                            321

-------
       TABLE K-2.—Distribution  of organochlorine residues in C. virginica for each sampling station by date of
                                       collection—North Carolina—Continued
YEAK

1966


1967


COMPOUND
RESIDUES IN PPB (/iG/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 9.— BACK BAY— 9 SAMPLES '
DDE
TDE
DDT
DDE
TDE
DDT
10 — 15 17 24 10
12 — 11 32 74 14
14 — 12 15 T —
10 26 10
10 23 13
— 17 T
                                      STATION 10.—JARRETT BAY—66 SAMPLES '
1966


1967


1968


1969


1970


1971


1972


DDE
^TJE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
22 — 13 14 T 12
22 — 11 16 T 18
15 — 19 16 — 14
11 17 14 29 19 17 10 12 12 14 10 21
T 12 19 24 22 18 12 T T 18 17 17
— T — 17 14 10 T 12 T 39 13 12
18 13 47 T 10 T — 13 T 18 — T
14 10 44 T — — — T T 13 — 15
TT15 — — — — TT66 — T
12 T 12 21 13 T 10 — — — 10 12
T 11 16 22 12 10 15 — — — 18 22
— T T — T — — — — — — 11
T 	 	 	 	 	 	 	 	
T 	 	 	 	 	 	 	 	
T 	 	 	 	 	 	 	 	
— T — — 11 — — — — T —
— T — — 10 — — — — T —
	 	 	 	 	 	 	 	 	 -p 	
— 12 T —
_ _ _ _
— — - —
                                      STATION 11.—NORTH RIVER—64 SAMPLES'
1966



1967



DDT
TDE
DDT
Dieldrin
DDE
64
50
58
10
27 2
-------
        TABLE K-2.—Distribution  of organochlorine residues in C. virginica for each sampling station  by date of
                                       collection—North Carolina—Continued
YEAR
COMPOUND
RESIDUES IN PPB (IIIO/KO)
JAN. FEB. MAR.
APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                 STATION 11.—NORTH RIVER—64 SAMPLES'—Continued
1968


1969


1970


1971


1972


DDE
TDE
DDT
DDE
TDE
DDT
18 14 T 35
13 — — 25
T — — 43
18 13 16 32
T — T 15
— — 12 14
DDE T
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
T
T
— 12
— — —
- -
20 10
_
"
34 T 32 21 T 22 38 27
26 — 27 19 T 17 20 —
36 — 57 26 T 36 27 —
" 16 T — - 12 53 — T
12 - - - T 73 - T
— — — — 11 34 — T
11 — _____ T
11 — — — — — — —
— — ______
T T — — - —
_ _ — — — —
______
T
— —
- -
                                    STATION 12.—NEWPORT RIVER—68 SAMPLES'
1966



1967


1968


1969



1970


DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
i
1971


DDE
TDE
DDT
20 17
21 13
— T
T —
14 18 25 20 21 19 T T
21 24 85 27 29 30 12 15
T T II T — T 10 T
11 16 17 25 — T T T
14 16 23 31 — — T T
--T-____
21 21 20 27 17 12 T —
21 22 21 29 23 19 T —
— 10 T 13 T T — —
— - — — — _ _
16 12 12 18 T — T
14 T 10 23 T _ _
13 - T 10 _ _ _

-II - 13 _ _ ,7
-M - 18 - _ I6
- - — — — —
14
19
T
—
14
25
15
11
13
T
T
T
—
—
...
	
	

	
	
—
16
26
—
-
16
18
23
18
24
23
13
16
25
T
_
	
_

	
	
—
24
44
11
—
12
17
—
19
29
11
15
15
17
—
T
T


_
_
—
14
22
—
—
16
26
T
15
18
T
18
17
17
—






—
VOL. 6, No. 4, MARCH  1973
                                                                                                              323

-------
        TABLE K-2.—Distribution of organochlarine  residues in C. virginica for each sampling station by date of
                                       collection—North  Carolina—Continued
1967


1968


1969


1970


1971


1972


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
31 20 15 T 10 10 13 15 14 15
26 23 17 T 12 12 14 — 13 T
12 T T — 11 16 24 T 12 T
12 T 16 15 T — T T 13 13 21 18
T — — T — — — T 13 13 17 11
— — — — — — — T 21 T 13 11
20 29 17 25 19 T 15 — — 12 13 12
15 23 11 20 19 11 16 — — 14 17 —
T 19 T 12 11 11 37 — — T 15 —
—
—
—
	 	 -p 	 	 	 	 	 	 , 	
____ ______
— — — — ______
	 	 -j- 	 	 	
______
— — — — — —
                                   STATION 14.—WHITE OAK RIVER^»3 SAMPLES '
1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
T 20 T
— 25 T
— T —
— — T — T -- T — T
— — — — T — 13 — T
______ 10 — T
TT13T — — — Til
TT13T — _ — Til
T — — _ — — _T T
T 12 14 T T — — — —
— — T — T — — — —
_________
29 T
31 T
— —
T T
— T
— -
T T
— T
— —
T T
T T
— —
T
T
—
T
T
—
14
T
T
—
—
—
324
PESTICIDES MONITORING JOURNAL

-------
       TABLF K-2.—Distribution of organochlorinc residues in C. virginica for each  sampling  station by  date of
                                       collection—i\ortk Carolina—Continued




RESIDUES IN PPB (AC/KG)
.Us. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 14.— WHITE OAK RIVER— 43 SAMPLES '—Continued
1970


DDE
TDE
DDT
T
—
—
                                  STATION 15.—NEW RIVER—72 SAMPLES'-
1966


1967


1968


1969


1970


1971


1972


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



39
49
16
42
38
31
25
19
-
21
19
-
11
—
—
19
18
—



16
18
T
16
14
T
18
19
T
28
24
T
T
T
—
17
21
—



30
30
T
35
31
T
21
27
T
29
22
T
15
12
—
24
21
—



45 20 16
59 23 13
14 — —
39 25 15
29 25 15
- - —
28 13 15
35 13 15
T — —
26 26 T
31 20 —
12 — —
T T —
- — —
— — —
11 T —
_ _ _
— — —
25 T 23 21 28 36
21 T 27 26 34 44
28 — T — — 14
11 19 16 28 21 28
13 28 20 34 26 37
— 11 — — — 21
T 10 14 15 15 14
— T 14 12 12 T
T T — — —
11 13 14 19 23 27
15 13 12 22 26 27
— T — 11 — 11
— — — — — 17
______
______
— — _ 12 _ 20
— — — 11 — 22
	 	 	 T 	 -j-



                                  STATION  16.—WRIGHTSVILLE BEACH^43  SAMPLES '
1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
11 14 15
12 18 12
_ _ _
II 16 19 14 T T T 10 —
14 18 15 14 T T 14 18 —
-TT-T- T 14 -
T T 10 13 T — _ I0 T
T — — 10 T — ___
T----__T_
15
16
13
T
12
22
T
—
—
19
24 1
14


—
T
12
—
VOL. 6. No. 4, MARCH 1973
                                                                                                                325

-------
        TABLE K-2.—Distribution of organochlorine residues in C.  virginica for each sampling station by date of
                                       collection—North Carolina—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IG/KC)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 16.— WRIGHTSVILLE BEACH— 43 SAMPLES '—Continued
1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
TTTTT — — — — TT12
— — — T T — — — — T 11 16
	 	 	 	 	 	 	 	 	 	 	 ,2
T
—
-
                                       STATION 17.—SOUTHPORT—72 SAMPLES '
1966


1967


1968


1969


1970


1971


1972


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
11 21 11 29 T T
T 16 10 25 T T
12 — — — — —
T 13 11 T — T 10 14 11 T — T
— 12 T T — — 10 T — — — T
— T — — — — 17 30 15 — — —
18 13 T T 11 — — 10 11 T 17 17
I3TTTI4 — — — Til — T
T — — — — — — 13 T — 21 10
T — 12 T 11 — — — — __ _ _
__ 17 _ 12 _______
_ _ 87 — T — — — — — — —
_ T — — — — — T — — — —
______ ______
------ ______
______ __ — _ — —
______ ______
______ ______
._.____
______
— — — — — —
                                    STATION 18.—SHALLOTTE RIVER-^13 SAMPLES'
1966


1967


DDE
TDE
DDT
DDE
TDE
DDT
- T T T
T —
-----
T 16 11 14 19 T T T 10 T
— 13 T 15 22 T 11 T T _
— T — — 10 — 10T T —
19
18
11
12
II
T
T
T
—
T
T
—
326
PKSTICIDES MONITORING JOURNAL

-------
       TABLE K-2.—Distribution  of  organochlorine residues in C. virginica for each sampling station by date of
                                      collection—North Carolina—Continued
YEAR
COMPOUND
RESIDUES IN PPB (AC/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                              STATION 18.—SHALLOTTE RIVER—43 SAMPLES "—Continued
1968


1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
13 14 16 15 - - - T T 13 - 17
11 10 11 12 — — — — — T — 10
TT_____--11-T
T T 12 11 15 T 14 T T 11 T T
— — 10 T 19 — 14 T — T 13 —
_ _ 19 — T — 16 16 12 T — —
T
-
—
 Each sample represents 15  or more mature mollusks.
SECTION L.—SOUTH CAROLINA

Monthly  collections  of  eastern  oysters,  Crassostrea
virginica,  to  identify  estuarine pollution  were  made
from August 1965 through November  1969. The  17
stations (Fig. L-l)  were monitored for periods ranging
from 1 to  5  years.  All  samples were analyzed at the
Gulf Breeze  Laboratory. A summary of data on or-
ganochlorine  residues in  the  monitpred  species,  C.
virginica, is presented in  Table L-l, and the distribution
of residues in this species for each sampling station  by
date of collection in Table  L-2.

South Carolina  samples  are characterized  by the uni-
formly low level of DDT residues  and moderately low
incidence of positive samples. Samples from only three
other  States  indicated generally lower levels  of  DDT
contamination.

In those  areas  with adequate  numbers of  samples for
annual comparison, there was an obvious decline at most
stations  in  the  magnitude and  incidence  of DDT resi-
dues in  1968-69  as  compared to earlier  years   (Part
I. Table 6).

South Carolina was the only  State  in  which  mirex
residues were detected in mollusks. These residues were
observed  only in the period March   May  1969. They
were found at nine stations widely distributed along the
South Carolina  coast. Largest  residues were  found in
samples collected  in the Charleston area, i.e.,  Stations
8 and 9.

VOL. 6, No. 4, MARCH 1973
     SOUTH CAROLINA
                                     ATLANTIC OCEAN
FIGURE L-l.—Diagram of coastal South Carolina showing
       approximate location of monitoring stations

       1.  North Santee  Bay—Santee River
       2.  South Santee  Bay—Santee River
       3.  Bull Creek
       4.  Price Creek
       5.  Inlet Creek
       6.  Hog Island Channel—Ashley, Cooper, and Wando Rivers
       7.  Wando River—Ashley, Cooper, and Wando Rivers
       8.  Ashley River—Ashley, Cooper,  and Wando Rivers
       9.  Fort Johnson—Ashley, Cooper, and  Wando Rivers
      10.  Steamboat Creek—North Edesto River
      II.  Toogoodoo Creek—North Edesto River
      12.  Big Bay Creek—South Edesto River
      13.  St. Pierre  Creek—South Edeslo River
      14.  Whale Branch—Broad River
      15.  Skull Creek—Broad River
      16.  May Creek
      17.  New River

                                                   327

-------
TABLE L-l.—Summary of data on organochlorine residues in the monitored species (C. virginica"), 1965-69—South  Carolina
STATION
NUMBER
1
2
3
4
5
6
7
g
9
10
11
12
13
14
15
16
17

LOCATION
North Santee Bay
South Santee Bay
Bull Creek
MONITORING
PERIOD
1965-68
1965-68
1969
Price Creek 1965-68
Inlet Creek 1965-68
Hog Island Channel
Wando River
Ashley River
Fort Johnson
Steamboat Creek
Toogoodoo Creek
Big Bay Creek
St. Pierre Creek
Whale Branch
Skull Creek
May Creek
New River
Occasional stations (6)
1965-68
1965-68
1965-69
1969
1965-69
1965-69
1965-69
1969
1965-68
1965-68
1969
1969
1965-68
Total number of samples
Percent positive for indicated compound
.NUMBER OF
SAMPLES '
41
40
12
42
42
41
42
54
12
54
53
54
12
41
39
12
12
7
610

NUMBER ot POSITIVE SAMPLES AND MAXIMUM
RF.SIDUE ( ) DETECTED IN PPB (/.G'KG)
DDT
10 (19)
14 (80)
2 (10)
25 (81)
21 (52)
33 (73)
31 (44)
45 (154)
4 (10)
26 (32)
40 (98)
32 (91)
7 (88)
21 (79)
12 (30)
3 (15)
1 (16)
5 (201)

54
Dieldrin
4 (19)
3 (19)
2 (13)
2 (12)



MlREX

2 (35)




8 (90) 1 (190)





1 (35)
1 (11)
1 (21)
2 (15)

4
1 (540)
1 (38)
1 (38)
1 (T)
1 (38)


3 (37)
1 (27)


2
 Nt.TE: T = >5  but <10 ppb.
 1 li.icr. -...nple represents 15 or more mature mollusks.
        TABLK L-2.—Distribution of  organochlorine  residue!: in C. virginica for each sampling station by  date  of
                                                collection—South  Carolina
                      [Blank — no sample collected; — = no residue  detected  above 5 ppb; T —  :-5 hut <10 ppb]
YEAR
COMPOUND
RESIDUES IN PPB (f-G KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 1.— NORTH SANTEE BAY-^U SAMPLES'
1965


1966


1967



DDE
T T T — — —
IDE T T T — — —
DDT - — — T — —
DDE _______ ______
TDE ______ _______
DDT — _____ ______
DDE ___ _ T T T — — — —
TDE
DDT
Dieldrin
.
_ _ _ ________
	 	 	 y -p __ 	 	 	
— 15 ________
328
PESTICIDES  MONITORING JOURNAL

-------
       TABLE L-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                       collection—South Carolina—Continued
YEAR

1968
COMPOUND

DDE
TDE
DDT
Dieldrin
RESIDUES IN PPB (/iC/KC)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 1.— NORTH SANTEE BAY^tl SAMPLES '—Continued
T _ _ T — — — — — —
____ — — — — — 19 — —
15 — 12 19 — — — — — — — —
                                   STATION 2.—SOUTH SANTEE BAY^»0 SAMPLES '
1965


1966


1967


1968



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
T T T — — —
T T — — — —
	 	 	 T — —
___._T---- - -
_________ — —
_________ — —
— — T __TTT — — —
•T- 	 	 	
— — — — — 13TT — — —
T46 — 10 T — — T — — — —
T — — T — — — — — — — —
f 34 	 	 	 	 	 j2 	 	 	 	
— 13 10 19 — — — — — — — —
                                      STATION 3.—BULL CREEK—12 SAMPLES 1
1969




DDE
TDE
DDT
Dieldrin
Mirex
_ _ _ T T-______
	 	 	 J f 	 	 	 	 	 	 	
	 	 	 	 	 	 	 	 	 	 	 	
— — — 13 12 — — _ _____
- — 22 — 35 — — — — __-_
                                      STATION 4.—PRICE CREEK—42 SAMPLES '
1965


1966



1967


DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
T _ T — _ _
T ______
— _ — — __
T — T — — — - — I9T — T
-------- 36 -_T
— — — — — — — — 26 — _ _
— — 12 -- — — — — ____
T 'I I* T T T T 13 T _ 10 T
— T — — — 10 T12 — _TT
— T — — T 11 10 11 T — T —
VOL. 6, No. 4, MARCH  1973
                                                                                                              329

-------
        TABLE L-2.—Distribution  of  organochlorine residues in  C. virginica for each sampling station by date of
                                        collection—South Carolina—Continued
YEAR



RESIDUES IN PPB UG/KG)
JAN. FEB.
STATION
1968



DDE
TDE
DDT
Dieldrin
T T
10 T
T —
— 10
MAR. APR. MAY JUNE JULY AUG. SEPT.
4.— PRICE CREEK^2 SAMPLES1 — Continued
T 11 T — T — —
_ T _____
_______
_______
OCT. Nov. DEC,

T - -
— — —
_ _ _
— — —
                                      STATION 5.—INLET CREEK—*2 SAMPLES 1
1965


1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
T T
T T
— T
T — — — U — _T
T — — — 14- --
T--_____
T T T 14 T T T 16
— — T 13 — — 15 21
— — — 12 T — 17 15
11 — 12 — — — — —
11 _ T — — — — —
________
— — T T
	 	 	 T
— — — —
— T T T
_ 	 	 -p
— — — —
— — — T
_ _ _ —
— — — —
_ — _ —
_ _ _ _
— — — —
                                  STATION  6.—HOG  ISLAND CHANNEL—41  SAMPLES1
1965 DDE
TDE
DDT
1966 DDE
TDE
DDT
1967 DDE
TDE
DDT
1968 DDE
TDE
DDT
T
T
T
T 13 T 14 13 — 20
T T — — 15 T 15
T — — — — — -
15 20 20 16 14 11 10
14 13 — — 32 11 13
11 11 — — 12 20 14
T 13 12 20 — — T
— 10 — 16 — — 10
— — — 14 — — T
T T T T —
T — T — —
	 	 -p 	 	
— 14 10 — T
_____
----- —
19 T — T T
28 T — T T
26 11 — 16 —
— — T T
— - — -
— — — —
                                      STATION 7.—WANDO RIVER—»2 SAMPLES '
1965


DDE
TDE
DDT
T
T
T
T
T
T
T
T
-
T
T
T
— T
— T
— —
330
PESTICIDES  MONITORING JOURNAL

-------
      TABLE L-2.—Distribution of organochlorine  residues in C. virginica for each sampling station by date of
                                     collection—South Carolina—Continued
YEAR
COMPOUND
RESIDUES IN PPB (^O/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                               STATION 7.—WANDO RIVER—42 SAMPLES >—Continued
1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
10 — T
10 — —
T — —
10 12 16
17 13 17
— — —
14 13 11
18 T T
12 — —
11 10 —
— 12 —
— — —
T T T
— T T
— — T
14 13 —
T 14 —
— — —
—
—
—
—
12
10
T
10
T
— 10
— 13
— T
10 T
20 10
14 10
_ _
— —
— —
10 T T
12 11 14
	 	 TT
T T 11
T — 16
— — T
— — —
_ _ _
— — —
                                    STATION 8.—ASHLEY RIVER—54 SAMPLES >
1965


1966



1967



1968



196?




DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
Mirex



33
25
28
—
36
21
24
—
31
30
28
T
12
—
—
—
—



34 38
29 28
30 16
13 21
36 51
28 39
28 35
— 11
15 66
13 26
— 25
— 19
13 16
— —
— —
- —
— 190



35
33
22
20
26
21
18
—
35
31
23
—
—
—
—
—
—



25 16
23 39
14 —
90 —
42 11
69 —
43 19
— —
32 T
28 —
25 —
— —
15 —
— —
13 —
— —
— —
16 T
16 T
14 T
13 11
17 —
— —
— —
16 18
20 23
18 32
— —
13 15
16 15
14 11
— —
— —
— _
— —
— —
— —
T T
T 15
— 10
— T
— T
— 1!
— —
T 14
10 19
11 18
— —
T T
11 —
13 —
— —
— —
— —
— —
— —
— —
18
27
28
25
31
31
—
23
26
42
—
T
—
T
—
—
—
—
23
—
32
22
22
18
28
21
—
33
37
49
—
60
51
28
—
—
—
—
—
—
                                    STATION 9.—FORT JOHNSON—12  SAMPLES 1
1969 DDE
TDE
DDT
Mirex
— — T T — —
______
______
— — 540 — — —
— — — T — T
— — — T — —
— — — — — 	
— — — — — —
VOL. 6, No. 4, MARCH 1973
                                                                                                            331

-------
        TABLE L-2.—Distribution of organochlorine residues in C. virginica for each sampling station  by  dale of
                                        collection—South Carolina—Continued
YEAR
COMPOUND
RESIDUES IN PPB (^G/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                   STATION 10.—STEAMBOAT CREEK—54 SAMPLES1
1965


1966


1967


1968


1969



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Mire*
T T T — T —
T T — — — —
_ T — — — —
T T — 14 — 11 — T — T — —
— — — 11 — 11 — — T T — —
— — ____ — — T — — —
T 11 10 — 13 T — — T — — —
T T 10 — 14 T _ _ T — — T
— — T — T16 — — T — — T
TT — TT — T — — — — —
T 	 	 	 	 	 	 	 	 	 	 	
•p 	 	 	 	 	 	 	 	 	 	 	
	 -p 	 	 	 	 	 	 	 	 ~p 'j1
— — — __ — ______
— — ______ — — _ —
	 	 3g 	 	 	 	 	 	 	 	 	
                                   STATION 11.—TOOGOODOO CREEK—53 SAMPLES*
1965


1966


1967


1968


1969



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Mirex
32 14 18 16 20
43 20 19 20 33
T T T — T
27 18 15 38 24 19 — 15 13 18 11
25 20 13 36 33 20 — 16 13 18 12
— T T 24 16 — — — 11 10 —
10 20 21 25 21 14 T — 12 T
T 17 18 23 22 15 — — — —
— — T — 14 T — — —
17 20 16 18 25 21 T 18 11 T T
14 16 — 16 20 16 T 19 10 — —
T — — — — — — 17 T — —
__________T
_ — — — — — — ____
— — — — — — — — — ——
— — 38 — — — — — — — —
16
16
—
22
26
T
30
26
12
13
T
—
—
—
—
—
                                    STATION 12.—BIG BAY CREEK—54 SAMPLES 1
1965


DDE
TDE
DDT
T
T
—
T
T
—
T T
— T
— —
	 -j-
— T
— —
332
PESTICIDES  MONITORING JOURNAL

-------
       TABLE L-2.—Distribution  of organochlorine residues in C. virginica for each sampling station by date of
                                      collection—South Carolina—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/JO/KG.)
JAN. FEB. MAR.
APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                               STATION 12—BIG BAY CREEK—54 SAMPLES1—Continued
1966


1967


1968


1969



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Mlrex
11 —
T —
— —
11 14
T 12
T T
T T
11 —
T —
— —
— —
_ _
— —
	 	 j
— — T
— — —
14 12 12
14 11 15
11 12 13
T 13 12
T T —
— — —
— T T
_ _ _
— — 33
T — —
T
T
—
T
T
21
—
—
—
24
23
44
—
12 T — — — T
1" ___ 	 	 	 	
— — — — — —
13 — T — — T
14 _ — — _ —
31 — — — — —
_ T — — — —
_ T — — — —
_ T — — — —
— — — 12 14 17
— — — 13 T 13
— — — 27 13 13
— — — — — —
                                  STATION 13.—ST. PIERRE CREEK—12 SAMPLES'
1969



DDE
TDE
DDT
Mire*
— T — T T 22
— — — — — 21
— — — — 30 45
— — 38 — — —
15
— — — 15
— — — 29
— — — —
13
T
13
—
T
—
—
—
                                    STATION 14.—WHALE BRANCH^tl SAMPLES 1
1965


1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
T T — T T T
T T — T — T
T T — — — T
— — — TT — — _ 1I33T
— — — T- — _— 11 20 —
— — — — — — — — _ 26 —
13 T — 11 T — T — 11 — — —
T — — T T — T — — ___
T--T--T-T___
11 T — 14 — — _ T T — — —
T T-14-__i2____
------- is -___
                                     STATION 15.—SKULL CREEK—39 SAMPLES 1
1965


DDE
TDE
DDT
T
T
—
T
T
T
T
T
—
T —
_ 	
— —
VOL. 6, No. 4, MARCH 1973
                                                                                                             333

-------
        TABLE L-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                        collection—South Carolina—Continued
YEAR



RESIDUES IN PPB (/IG/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 15.— SKULL CREEK— 39 SAMPLES »— Continued
1966


1967


1968



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
— — — — 12 T — — — — T —
— — — — 12 T — — — — T —
— — _ _ T — — — — — — —
— — — 11 — T ___ —
— — — 14 — T — — — T
— — — T — 16 ___ T
X 	 	 	 	 _ 	 	 	 	 	 	
— — — — — — — — — — — —
— — — __ — ___ n — —
— — — — — — _____35
STATION 16.— MAY CREEK— 12 SAMPLES'
1969




DDE
TDE
DDT
Dieldrin
Mirex
— — — 1ST — — T — — — —
-___T_______
— — — __ — _ — _____
— — — 11 — — _ — _ — _ —
— — 23 37 27 — — — — — — —
STATION 17.— NEW RIVER— 12 SAMPLES'
1969




DDE
TDE
DDT
Dieldrin
Mirex
___T________
— — _ 11 ________
____________
___21 — — — — — — — —
----27 _______
1 Each sample represents IS or more mature mollusks.
334
PESTICIDES MONITORING  JOURNAL

-------
SECTION M.—TEXAS

The eastern oyster, Crassostrea virginica, was  used to
monitor pollution in Texas estuarine waters during the
period  July  1965   June 1972. All  samples were an-
alyzed  at  the Gulf Breeze  Laboratory.  Approximate
locations of  the  13  sampling  stations  are  shown in
Fig. M-l. A summary of data on organochlorine  residues
in the  monitored species, C.  virginica,  is presented in
Table M-l, and the distribution of residues in this species
for each sampling station by date of collection in Table
M-2. In some instances, more than one reef was  sampled
at different times in a particular bay. In  these instances,
the data have been integrated to reflect bay conditions
as a whole. At some times, floods resulting from tropical
storms  decimated  oyster reefs  and  inerrupted  routine
monitoring. On at least one occasion, sample preparation
reagents were contaminated with chlordane  leading to
spurious analytical results. Consequently, all findings of
chlordane have been  omitted from  the data  tabulations.

In conjunction with oyster  monitoring in Texas, many
samples of fish and other  vertebrates  were analyzed
throughout  the monitoring program.  These  analyses
 indicated, as might be expected,  more kinds of pollutants
 and  of greater magnitude than  those found  in  oysters.
 PCB's,  for example, were  commonly   found  in  fish
 samples but  were detected in  only  five collections of
 oysters. In the Arroyo Colorado, Station 12,  findings of
consistently large  DDT residues  in oysters were  par-
 alleled  by  DDT residues about 10 times larger in  fish.
 A  causal  relationship between  DDT residues in the
 eggs and  reproductive failure of the  spotted sea trout,
 Cynoscion nebulosus, there in  1969, has been postu-
 lated (5).

 Although the incidence of DDT residues  was higher  in
 eight other States, samples  from monitoring stations  in
 Texas bays that receive runoff from the agricultural areas
 were consistently contaminated with  DDT.  The maxi-
mum DDT residue detected, 1,249 ppb, was in an isolated
 sample;  more typically the  residues in  contaminated
 areas were in the  range of  100   500 ppb of DDT.
Toxaphene  of presumaaw
tected in only one sample.

There is a clearly defined trend of declining DDT resi-
dues  in oysters. In  1971, there was a more than 50%
increase in the number of samples containing negligible
DDT residues (i.e., <11 ppb)  over previous years  and
a 75%  decrease in  the number of samples in the 100 -
1,000 ppb range.
                TEXAS
                               GULF OF MEXICO
    FIGURE M-l.—Diagram of coastal Texas showing
        approximate location of monitoring stations
  1. Trinity Ray—Trinity-San Jacinto River basins
  2. Galveston Bay—Trinity-San Jacinto River basins
  3. Tres Palacios Bay—Lavaca River Basin
  4. Lavaca Bay—Lavaca River Basin
  5. San Antonio Bay, North—Guadalupe-San Antonio River Basin
  6. San Antonio Bay, South—Guadalupe-San Antonio River Basin
  7. St. Charles Bay—San Antonio-Nueces Coastal Area
  8. Aransas Bay—San Antonio-Nueces Coastal Area
  9. Copano Bay—San Antonio-Nueces Coastal Area
  10. Red Fish Bay—San Antonio-Nueces Coastal Area
  11. Nueces Bay—Nueces River Basin
  12. Arroyo Colorado—Rio Grande  Coastal Area
  13. Lower Laguna Madre—Rio Grande Coastal Area
     TABLE M-l.—Summary of data on organochlorine residues in the monitored species (C. virginica), 1965-72—Texas

STATION
NUMBER

1
2
3
4
5
6

LOCATION

Trinity Bay
Galveston Bay
Tres Palacios Bay
Lavaca Bay
San Antonio Bay, North
San Antonio Bay, South

MONITORING
PERIOD

1965-69
1965-72
1965-72
1965-72
1965-72
1965-72

NUMBER OF
SAMPLES '

47
71
74
66
59
75
NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (/IO/KO)

DDT
28 (51)
60 (88)
71 (974)
59 (400)
38 (78)
40 (488)

DlELDRIN
I (20)
31 (87)
6 (18)
4 (24)
8 (27)
3 (56)

ENDRIN





1 (10)
TOXA-
PHENE a







PCB's '



2


 VOL. 6, No. 4, MARCH 1973
                                                                                                              335

-------
      TABLE M-l.—Summary of data on organochlorine residues in the monitored species (C. virginica), 1965-72—
                                                   Texas—Continued
STATION
NUMBER
7
8
9
10
11
12
13

LOCATION
St Charles Bay
Aransas Bay
Copano Bay
Red Fish Bay
Nueces Bay
Arroyo Colorado
Lower Laguna Madre
Occasional stations (16)
Total number of samples
MONITORING
PERIOD
1966-72
1965-67
1967-71
1966-72
1965-68
1965-71
1965-67
1965-72

Percent of samples positive for indicated compound
NUMBER OF
SAMPLES 1
66
19
51
67
20
48
24
41
728

NUMBER op POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (AQ/KG)
DDT
33 (93)
18 (83)
24 (96)
52 (82)
20 (450)
48 (710)
15 (57)
24 (1,249)

73
DlELDRIN
11 (80)
2 (48)


4 (33)
45 (46)
1 (46)
16 (64)

18
ENDRIN




3 (18)
18 (32)



3
TOXA-
PHENE*





1




PCB's »



2



1

<1
1 Each sample represents 15 or more mature mollusks.
' Present but not quantified.
         TABLE M-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date
                                                  of collection—Texas
        [Blank = no sample collected; — = no residue detected above 5 ppb or no residue detected (PCB s); T = >5 but <10 ppb.]
YEAR
COMPOUND
E RESIDUES IN
JAN. FEB. MAR. APR. MAY JUNE
PPB (0G/KG)
JULY AUG. SEPT. OCT.

Nov.

DEC.
                                        STATION 1.—TRINITY BAY—47  SAMPLES 1
1965


1966


1967


1968


1969



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
T — T T T 11
T — — T 10 16
— — — — — —
12 18 15 18 — — — — — T T
17 27 28 33 — — — — — T 12
___ ________
T T 12 — — T — — — T T T
T 12 18 — — T — — — T T —
_____ T __ — T — —
TTTTT — — T — 10 T
11 T T 11 T — — — — T —
______ _____
_ T - - - - T
— 13 — — — — —
_ _____ —
_ 20 — — — — —
336
                                                                                     PESTICIDES MONITORING JOURNAL

-------
      TABLE M-2.—Distribution of organochlorine residues in C. virginica for each sampling station hy date of
                                         collection—Texas—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IG/KG)
JAN. FEB.
MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                   STATION 2.—GALVBSTON BAY—71 SAMPLES'
1965 DDE
TDE
DDT
1966 DDE
TDE
DDT
Dieldrin
1967 DDE
TDE
DDT
Dieldrin
1968 DDE
TDE
DDT
Dieldrin
1969 DDE
TDE
DDT
Dieldrin
1970 DDE
TDE
DDT
Dieldrin
1971 DDE
TDE
DDT
Dieldrin
1972 DDE
TDE
DDT
Dieldrin



15 18 13 11 —
36 43 32 33 —
•T- 	 	 	 	
- — — — —
T 11 15 13 — T
26 29 44 34 15 18
•j- 	 	 	 	 	
12 14 15 — — —
10 16 T 14 20 T
24 43 36 37 46 41
_ T — — — —
13 25 20 — — —
T 24 —
.44 64 23
_ _ _
30 19 —
13 15 T 12 T
35 34 34 32 18
— 10 T — —
18 19 11 14 —
T 11 —
39 38 48
_ _ _
16 23 30
T T T T —
18 T 26 15 T
— — _ _ _
42 26 87 24 36
— T T T T
_ - - 11 17
— — — — —
_ _ — T T T
_ _ — T 24 24
___ — — —
_ _ _ — 12 —
_ T T 11 11 13
_ 10 T 21 23 32
_ — — 11 — —
__ — — 14 19
T T T 14 T —
30 13 15 46 34 49
_ _ _ 13 — —
— — — — 19 14
T 10 — 19
13 11 T 19
_ _ _ _
— — — —
____U_
20 — — 17 31 32
______
— — 13 — 24 18
— — — T T
— — — 17 17
— — — T 11
65 46 — — 26




                                  STATION 3.—TRES PALACIOS BAY—74 SAMPLES 1
1965


DDE
TDE
DDT
11
T
—
11
T
—
T T 21
— — T
— — T
93
29
65
VOL. 6, No. 4, MARCH  1973
337

-------
       TABLE M-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                          collection—Texas—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IO/KQ)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                             STATION 3.—TRES PALACIOS BAY—74 SAMPLES '—Continued
1966


1967


1968



1969



1970



1971


1972



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
Li-T
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
78
36
43
42
14
—
270
66
83
—
25
19
—
—
70
48
31
—
—
—
—
100
25
15
—
78
36
53
42
17
T
120
57
21
18
24
18
T
—
36
29
—
13
43
30
—
59
20
T
T
250
44
80
67
31
11
230
23
81
—
83
35
27
—
no
51
19
17
14
12
—




190 300
53 89
59 130
51 34
19 14
T 15
320 300
590 77
64 22
— —
91
44
21
—
230
44
56
13
13
12
—




47 210
22 97
12 23
58 18
24 —
11 —
91 62
62 95
T 17
— —
55 95
62 15
15 —
— —
44 33
38 55
31 —
— —
10 13
23 27
— —




97 21 11 23 26
29 T — T T
— — — — —
12 18 72 150 240
— — 41 52 57
— — T 71 38
43 20 19 22 24
10 42 13 19 15
_ T — — —
— — — — —
58 43 25
56 T 40
— — 12
— 10 —
41 — 50 16
72 — — 12
— — — —
_ _ — —
15 T — 14 T
44 — — 15 T
— — — — —




                                      STATION 4.—LAVACA BAY—66 SAMPLES 1
1965


1966


1967


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



33 40 43 56
12 17 T 27
11 18 T 16
22 16 20 25
13 T 12 14
— — — T



51 140
25 30
21 23
14 T
T —
14 —
T — T 13 22
— — — T T
— — — T 10
39 26 17 T T 11
16 11 — — — —
— — — — — —
25 14 14 T 19 26
13 - - - - 12
34 — - — - T
338
PESTICIDES MONITORING JOURNAL

-------
      TABLE M-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                          collection—Texas—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/K)/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                STATION 4.—LAVACA BAY—66 SAMPLES'—Continued
1968 DDE
TDE
DDT
Dieldrin
1969 DDE
TDE
DDT
1970 DDE
TDE
DDT
Dieldrin
PCB's
1971 DDE
TDE
DDT
Dieldrin
1972 DDE
TDE
DDT
Dieldrin
39 38 39 69 46 140
16 17 22 62 39 120
26 40 18 49 34 140
24
20 19 33 41 33
T — 11 19 22
— — — 14 16
— 120 30 «>
— 42 16 «'
— 26 11 «>
— — 10 —
	 	 	 (3)
48 43 43 22 T
29 15 — — —
T — — — —
— — — — —
18
T
T
21
24
13
—
~~
— 12 — 26 40
_ _ - 18 33
_ — — 15 48
37 on — — 16
53 a, — — T
	 (» — — —
_ — — — —
	 (3) 	 	 	
T — 12 T 13
— — 25 — —
_ — — — —
_ — — — 14




                               STATION 5.—SAN ANTONIO BAY (NORTH)—59 SAMPLES 1
1965



1966



1967



1968

1969



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin


DDE
TDE
DDT

T T T T 11 30
T T T T T 25
— T — T T 16
— — — — — 11
31 30 32 29 33 29 16 — T 13 15 19
24 27 30 i 23 27 22 10 — — — T 14
14 16 15 — 18 13 — — — — — —
— — 17 — — — — — _ — __
17 20 22 29 1-3- 12 T — 11 14
13 18 18 30 T — — — T 13
---T----I4-
— 10 — — — _ _ _ _ _

- No Samples Collected* 	 •- -- 	
— — — T 18
— — — T 12

- - - - T
VOL. 6, No. 4, MARCH 1973
                                                                                                               339

-------
        TABLE M-2.—Distribution of organochlorine residues in C. virginica for each sampling station  by date of
                                           collection—Texas—-Continued
YEAR
1970



1971



1972



COMPOUND
	
RESIDUES m PPB (#O/KG)
JAN. FEB. MAR. APR. MAY JUNB JULY AUG. SEPT. OCT. Nov. DEC.
STATION 5.— SAN ANTONIO BAY (NORTH)— 59 SAMPLES i— Continued
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
— — 18 14 17 — — — — — — —
__ — — 33 — ______
— __ — __ __ — — — —
— ___ — _ 27 — — — 17 —
T — — _ _ _ _ 10 _ T 13
12 — — ______ 11 _
— __ ____i9___
— — — ______ 12 17
12 12 T
— — —
_ _ _
Y 	 	
                               STATION 6.—SAN ANTONIO BAY (SOUTH)—75 SAMPLES t
1965


1966


1967


1968




1969



1970


1971


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
— T T T 12
— — T T 10
— — T T T
13 13 14 19 14 T — — — T 15
T — — 14 10 — — — — — T
T _ — _ 10 _ _ _ _ _ T
17 20 20 14 T — — — T
11 10 11 — — — — — T
10 — 11 — ' — — — — T
21 T — — 110 — — —
19 — — — 310 — — —
13 — — — 68 — — —
56 — — — 14 — — —
10 — — — — — — —
T 16 20 16 T — — — T T
— — — 14 T — — — T T
	 	 	 Y 	 	 . 	 	 	 	
14 — — — — — ____
__ — — 11 — — — — — 13
— — — — 25 — — — — — 41
— — — — — — — — — — —
___ — T — — — — — T
— — — — — — — — — — —
— — — — — — — — — — —
17
T
T
10
T
—



T
T
—
—
—
12
IS
T
—
—
—
—
13
10
T
340
PESTICIDES MONITORING JOURNAL

-------
       TABLE M-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                         collection—Texas—Continued




RESIDUES IN PPB (/to/so)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 6.— SAN ANTONIO BAY (SOUTH)— 75 SAMPLES »— Continued
1972


DDE
TDE
DDT
13 16 T
_ _ _
— — —
                                   STATION 7.—ST. CHARLES BAY—66 SAMPLES>
1966



1967



1968'


1969



1970


1971 *


1972'


DDE
TDE
DDT
Dieldrln
DDE
TDE
DDT
Dieldrln
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
11 T 11 11 — — — — T T 15
___ _____ — — T
___ T_____-T
_^-_ _____ — — 11
15 20 17 23 16 — — — 12 15 16 17
T T T 52 47 — — — — — T 12
T T — — 23 — — — — — — 10
13 12 — 28 39 78 80 — — — — 15
22 30 — 24 19 — T — — — — —
— 20 — 19 16 — ______
— 43 — 11 23 — ______
— — 14 12 T T _____T
— — T 21 17 15 ______
— — — _ T — ______
49 — — — — — 27 — T — — —
	 	 	 	 	
— 	 	 	 	
— — — — —
— — — — — — — TT 13
_______ TT T
— — — — — — — 21 10 15
14 23 27 16
T f 10 —
14 15 — —
                                    STATION 8.—ARANSAS BAY—19 SAMPLES'
1965


1966


DDE
TDE
DDT
DDE
TDE
DDT
T
T
—
12 16 20 16 16 10 T T
T 45 57 _ 43 35 30 33
T — T_14___
21
T
—
T 27
20 26
— —



15 15
42 43
— T
VOL. 6, No. 4, MARCH 1973
                                                                                                           341

-------
        TABLE M-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                          collection—Texas—Continued
YEAR



RESIDUES IN PPB (na/Ka)
JAN. FEB.
STATION
1967



DDE
TDE
DDT
Dieldrin
23 24
54 49
T T
— —
MAR. APR.
8.— ARANSAS
27 —
56 —
— _
— 28
MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
BAY— 19 SAMPLES1 — Continued
T
—
—
48
                                    STATION 9.—COPANO BAY—51 SAMPLES L
1967 DDE
TDE
DDT
1968 DDE
TDE
DDT
1969 DDE
TDE
DDT
1970 DDE
TDE
DDT
1971 DDE
TDE
DDT
	
—
—
14 18 — 21 T 12
23 28 — 24 — —
T
— T — 50 15 17
T — — 21 27 23
— — — T 18 T
17 15 25 14 — —
11 T T 14 — —
T T — T — —
10 13 15 17 10 —
10 11 10 39 10 —
— — — — — —
— — — T — 21
— 96 — 20 — 30
	 	 	 	 	 «p
T — — — — —
______
______
— — — — — 15
_____ T
_____ T
______
______
______
— —
— —
— —
                                   STATION 10.—RED FISH BAY—67 SAMPLES '• •
1966


1967


1968


1969


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
29
25
12
T 15 17 — T 14
T 21 32 — 14 39
— T T — — 13
23 25 18 12
14 26 43 18
— 12 21 —
15 T 10 15 — T
27 T 19 27 18 T
13 — T 19 — —
24 12
21 18
12 —
T —
19 —
14 —
10 10
21 18
— T
— —
— —
— —
T T T T
T 11 T T
— — — —



11 — — 10
15 21 — 17
23 T — T
12 — 11 17
— — 15 22
— — T 13
342
                                                                              PESTICIDES MONITORING  JOURNAL

-------
       TABLE  M-2.—Distribution of organochlorine residues in C. virginica for each sampling .station by  date of
                                          collection—Texas—Continued
YEAR
COMPOUND
RESIDUES IN PPB (^O/KO)
JAN. FEB. MAS. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                               STATION 10.—RED FISH BAY—67 SAMPLES i—Continued
1970



1971


1972



DDE
TDE
DDT
PCB's
DDE
TDE
DDE
DDE
TDE
DDT
PCB's
16
20
T
-
—
—
—
14
11
22
—
14
19
10
—
—
—
—
20
15
30
—
18
29
13
—
17
14
—
16
16
45
—
17 10 12
25 23 38
12 — —
_ _ —
— T —
_ — —
— — —
18 — T
12 — 14
42 — 34
— — °"
14 12 — — — T
25 18 — — — 29
_ 10 — — — 15
	 	 	 (3) 	 	
_ 13 T T T 12
13 — T T 11
— 17 26 17 22 26


'

                                     STATION 11.—NUECES BAY—20 SAMPLES1
1965


1966



1967




1968


DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
T
—
—
34 22 32 120 18 18 T T
30 17 26 200 20 16 — 12
12 — 14 130 — — — —
	 	 	 33 	 	 	 	
31 30 43 46 34 29 20 32 57 51
36 61 110 110 48 52 20 20 25 22
T 22 20 26 22 49 17 37 35 15
— 11 13 19 — — _____
— 18 12 11 — — _ — — _
45
28
15
                                 STATION 12.—ARROYO COLORADO—48 SAMPLES1
1965




1966




DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
Dieldrin
Endrin
170
520
20
19
—
80 120 120 74 96 230 300 270 98
110 140 130 70 69 140 230 93 57
21 '9 17 — 26 31 53 24 —
32 23 ™ 18 16 30 45 27 14
18 n H - 22 23 28 13 _
24 55
33 80
T 17
T 29
— 32
12 180
— 50
— 19
— 18
— 14
64
80
16
34
19
63
58
12
20
12
VOL. 6, No. 4, MARCH  1973
                                                                                                            343

-------
        TABLE M-2.—Distribution of organochlorine  residues in C. virginica for each sampling station by date of
                                               collection—Texas—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IG/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                STATION 12.—ARROYO COLORADO-^18 SAMPLES '—Continued
1967




1968



1969



1970




1971




DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
Endrin
DDE
TDE
DDT
Dieldrin
Toxaphene
120
73
27
23
11




* 260
110
15
14
23
35
32
21
T





140 210
110 180
— 28
16 42
29 19
48
150
—
—
330 220
100 48
57 35
16 17
120 140
20 25
19 22
18 23
y 	





170
75
19
46
—




320
100
110
18
110
29
T
25
—
65
14
—
11
—
110
49
26
19
—




180
35
77
14
130
25
T
13
. —
280
61
—
27
—
160 160 79
63 92 49
24 23 16
33 30 16
— 12 —
160
68
49
33
260 280 86 100 110 210 54
63 55 28 33 30 T 21
48 22 — — T — 24
25 18. 17 12 T 16 —
96
54
60
25
12
380 220
46 78
— —
24 38
	 (3)
                                   STATION 13.—LOWER LAGUNA MADRE—24  SAMPLES'
1965


1966



1967


DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
T T — —
— — — —
— — — —
_ _ — — 27 T T 13 — 12 — T
	 	 19 	 	 	 	 	 	 _
	 	 II 	 	 	 	 	 	 	
_____ 46 — — — — — —
II 15 13 13 10 12 T —
	 	 *J- 	 	
— — — — 14 T — —
* Each sample represents 15 or more mature mollusks.
1 DDT present but not quantified due to presence of PCB's in sample.
9 Present but not quantified.
* Dieldrin data omitted because of possible sample contamination.
344
                                                                                       PESTICIDES MONITORING JOURNAL

-------
SECTION  N.—VIRGINIA

The eastern oyster, Crassostrea virginica, was monitored
at 10 principal stations in estuarine areas of Virginia
during the period July 1965   February 1972. Samples
were analyzed  at the Gulf Breeze Laboratory until June
1968, and thereafter at the Virginia  Institute of Marine
Science.  The  approximate station locations  are  shown
in Fig. N-l. A summary of data on  organochlorine res-
idues in the monitored species, C. virginica, is presented
in Table  N-l, and the  distribution  of residues  in this
species  for each sampling station by data of collection
in Table N-2.
The 87% incidence of DDT residues in Virginia samples
and the maximum residue of 678 ppb were fourth highest
of the States monitored. The higher residues were clearly
associated with intensive truck farming (Station 2)  and
a  combination of  urban  and  industrial  development
(Station 9).
The presence of PCB's was noted in  1970 samples, but
not  until 1971  was equipment  acquired  to identify and
quantify these compounds. The residue of 2,800 ppb of
Aroclor 1254® detected in oysters  in  the Elizabeth
River,  a highly  industrialized area,  has prompted  a
special study to pinpoint the source of this pollution.
Trends in DDT residues  in Virginia oysters differ some-
what from other areas in that, while the larger residues
(those  above  100  ppb)  decreased by 66%  in 1971,
100% of the 1971 samples contained residues in excess
of  11  ppb as compared to 82%  in  earlier years. It ap-
pears that DDT residues are more widely  dispersed but
at relatively lower levels, presumably through the proc-
esses of recycling.
                                                  FIGURE  N-l.—Diagram of coastal Virginia showing
                                                       approximate location of monitoring stations
                                                             1. Machipongo River
                                                             2. Cherrystone Inlet—Chesapeake Bay
                                                             3, Bowlers Rock—Rappahannock  River
                                                             4. Urbanna—Rappahannock River
                                                             5. Bell Rock—York River
                                                             6. Pages Rock—York River
                                                             7. Deep Water Shoals—James River
                                                             8. Nansemond Ridge—James River
                                                             9. Hospital Point—Elizabeth River
                                                            10. Lynnhaven Bay
    TABLE
N-l.—Summary of data  on  organochlorine residues in the monitored species (C. virginica), 1965-72—Virginia
STATION
NUMBER
1
LOCATION
Machipongo River
2 Cherrystone Inlet
3 ! Bowlers Rock
4
5
6
7
Urbana
Bell Rock
Pages Rock
Deep Water Shoals
MONITORING
PERIOD
1965-72
1965-72
1965-72
1965-72
1965-72
1965-72
1965-72
NUMBER OF
SAMPLES 1
67
68
70
69
69
68
69
NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (JIG/KG)
DDT
56 (127)
67 (678)
62 (60)
59 (45)
35 (54)
50 (100)
69 (144)
DlELDRIN
2 (11)




1 (T)
38 (40)
PCB's 2
1 (390)
2 (510)
2 (400)
2 (270)
2 (450)
2 (400)
3 (1,000)
 VOL. 6. No. 4. MARCH  1973
                                                                                                              345

-------
      TABLE N-l.—Summary of data on organochlorine residues in the monitored species  (C. virginica), 1965-72—
                                                  Virginia—Continued
STATION
NUMBER
8
9
10

LOCATION
Nansemond Ridge
Hospital Point
Lynnhaven Bay
Occasional stations (4)
MONITORING
PERIOD
1965-72
1966-72
1965-70
1965-67
Total number of samples
Percent positive for indicated compound
NUMBER OF
SAMPLES '
64
58
62
5
669

NUMBER op POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (/IO/KG)
DDT
63 (128)
58 (300)
61 (113)
5 (241)

87
DffiLDRIN
29 (22)
38 (24)
4 (16)


17
PCB's *
2 (1,000)
3 (2,800)



3
NOTE: T = >5 but <  10 ppb.
1 Each  sample represents 15  or more mature mollusks.
TABLE N-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of collection—Virginia
        [Blank = no sample collected; — = no residue detected above 5 ppb or no residue detected (PCB's); T = >5 but <10 ppb]
YEAR
COMPOUND
RESIDUES IN PPB (^O/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                     STATION 1.—MACHIPONGO RIVER—67 SAMPLES t
1965



1966


1967


1968


1969



1970


1971



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
PCB's




12 T 11 14 19 17
— — — T 14 18
— — — — — —
— 34 T T 17 14
— 59 — — 12 13
— 10 — — — T
T — T — T 18
— — — — — 10
— — — — — —
T T T T T 13
— T — — T 13
- T - - - T
______
15 10 — — 11 24
14 T — — T 35
— 11 — — — 17
10
—
—
—
34 15
20 13
73 T
11 —
19 —
17 —
— —
T T
— T
— T
15 T
20 T
10 —
— 11
— 16
— —
— —
T
13
T
18
T
—
—
18 T
28 T
24 —
— —
T T
— —
— —
— —
— —
— —
— T
— T
— —
T
T
—
T
T T
T T
— —
17
T
—
'390
13 15
T T
— —
— —
	 Y
— —
— —
T 11
— —
— —
11 T
T —
— —
20 T
27 T
16 —
— —
11
T
—




346
                                                                                     PESTICIDES  MONITORING  JOURNAL

-------
       TABLE N-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                         collection—Virginia—Continued

YEAR




RESIDUES IN PPB (#O/KO)

JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 1.— MACHIPONGO RIVER— 67 SAMPLES1 — Continued
1972


DDE
TDE
DDT
12
—
—
                                 STATION 2.—CHERRYSTONE INLET—68  SAMPLES 1
1965


1966


1967


1968


1969


1970


1971



1972



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
PCB'j
DDE
TDE
DDT
PCB's



45 42
49 46
23 26
49 31
74 52
17 14
19 27
18 20
T —
24 11
16 14
— —
32 33
30 42
T 16




43
18
—
'510
60 35
89 60
230 71
33 43 36 32 90 41
45 40 36 37 110 86
25 15 11 16 130 59
32 37 45 37 34 44
36 53 75 68 61 63
— 12 10 21 110 110
35 59 42 40 146 63
46 58 55 52 210 172
T 21 12 17 322 42
21 17 12 T 15 35
22 16 13 14 10 31
— — — — — 20
— 20 28 24
— 21 29 26
— — — 23
30 22
30 14
— 14
— —




16
14
T
14
35
T
55
81
120
20
76
12
17
22
11
T
T
T








24
42
35
25
66
20
26
42
22
33
31
T
24
34
13
22
34
T
29
23
T
= 350




25
32
20
19
62
11
24
29
13
33
31
T
16
10
—
18
19
—








45
55
35
36
73
14
20
18
T
T
15
T
35
39
17
19
22
T








                                    STATION 3.—BOWLERS ROCK—70 SAMPLES
1965


1966


DDE
TDE
DDT
DDE
TDE
DDT
16
23
21
11 10 — 13 11 13 ,3
T T — T 11 15 15
— T —
T
T
T
T '
T
—
T T T
T T T
T T —
— — T
— — T
- — —
11
12
—

_
-
VOL. 6, No. 4, MARCH  1973
                                                                                                            347

-------
       TABLE N-2.—Distribution  of organochlorine  residues in C. virginica for each sampling station by date of
                                         collection—Virginia—Continued
YEAR
COMPOUND
RESIDUES IN PPB (^O/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG.
SEPT. OCT. Nov.
DEC.
                               STATION 3.—BOWLERS ROCK—70 SAMPLES '—Continued
1967


1968


1969


1970


1971



1972


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
• PCB's
DDE
TDE
DDT
— T T
— — T
— — —
— T T
— — T
_ _ _
T T 11
10 T 10
_ _ _
16 10 T
14 T —
T 32 —




17
12
—
10 T T
11 T 11
_ _ _
T T 13
— — 14
— — —
12 10 T
14 10 T
— T —
T 10 10
11 10 17
— — T
11
T
—
T



10 — — T
14 15 — T
11 18 — T
10 10 — 17
12 15 — 17
— T — T
T T T 11
T T 10 18
— T T 14
T T — T
12 T T 12
— — T T
T
—
—
—



T T
T T
T —
T 12
T T
— —
T 11
14 13
T T
— T
T T
— —
14
12
—
400



                                       STATION 4.—URBANA—69 SAMPLES'
1965


1966


1967


1968


1969


1970


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT



10 T
T —
— —
12 10
— T
_ _
T T
T —
— —
T T
T 11
T T
T
10
16



— — 10 T
— — — —
— — — —
11 T T T
T T T T
_ — — —
T 11 T 11
T T — —
— — — —
— T T T
— — T T
— — — —
— T 10 15
— T T 17
	 	 	 , 	 "J"
T
13
14
15
—
—
T
T
—
14
13
T
T
T
—
T
T
T
10
16
19
—
—
—
T
T
T
T
T
—
T
13
—
—
T
—
T
T
T
T
—
—
—
—
—
—
—
—
T
T
—
10
17
14
T
—
—
—
—
—
T
11
12
T
T
—
11
18
16
—
—
—
T
—
—
—
—
—
11
T
—
T
12
T
T
10
—
T
T
—
13
10
—
T
T
T
11
12
T
T
T
—
T
10
—
T
T
T
348
                                                                               PESTICIDES MONITORING JOURNAL

-------
        TABLE N-2.—Distribution of organochlorine  residues in C. virginica for each sampling station by date of
                                          collection—Virginia—Continued
YEAR
COMPOUND
RESIDUES IN PPB (AO/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 4.— URBANA— 69 SAMPLES '—Continued
1971



1972


DDE
TDE
DDT
• PCB's
DDE
TDE
DDT
10 T 10
T — T
— , — —
T — 270
10
T
—
                                       STATION 5—BELL ROCK—69 SAMPLES *
1965


1966


1967


1968


1969


1970


1971



1972



DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
PCB's
DDE
TDE
DDT
PCB's
11 T T T 11 16
24 T 13 10 13 21
19 T 10 T — 13
	 	 	 	 	 	 	 	 	 	 	 -p
— — — — — — ______
— — — — — — — — — — — —
_T — T — — — — — — — T
— T — — — — — — — 12 — T
— — — — — — ______
— — — — — — T T — T Til
— — — — — — 10 T — T T T
— — _ — __ _____n
— — — — — T — TT 11 17
— — — — — T — T 14 20 T
— — — — — — — — — 10 —
T T — T T 10 10 — — — — T
T 12 11 11 T 18 13 T T — — T
------ T _ _ _ _ _
T _ T
— T T
_ _ _
— — 3390
T
T
—
M50
                                      STATION 6.—PAGES ROCK—68 SAMPLES 1
1965


DDE
TDE
DDT
10
15
17
T
12
14
11
17
14
11
14
12
17
20
24
19
16
13
VOL. 6, No. 4, MARCH  1973
                                                                                                             349

-------
       TABLE  N-2.—Distribution of organochlorine residues in C. virginica for each sampling station by date of
                                          collection—Virginia—Continued
COMPOUND
	 	
RESIDUES IN PPB (AG/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                  STATION 6.—PAGES ROCK—68 SAMPLES '—Continued
1966


1967


1968


1969



1970


1971



1972


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dicldrin
DDE
TDE
DDT
DDE
TDE
DDT
PCB's
DDE
TDE
DDT
14 — — T 10 11 — T — T
13 — — — Til — T — T
T — — — — — _ ii _ _
— — T 10 — T T — T T
— — — T — T T — 1614
— — — — — — — TUT
TT — T — 1213T — T
— T — — — — 14 10 — 10
— — — — — — — ___
— — T — T 13 — 14 18
— — T — T T — 12 16
T T T
L 	 — — 1 1
	 	 . 	 	 	 	 	 	 •y
— T — T T T TT — 10
T 20 — T T 29 12 T — T
— — — — — 11 T — — —
X 	
— —
— —
3 f 	
T
T
—
— T
— T
— —
T 13
11 14
— —
T 10
T 11
— T
T
T
—
—
90 T
10 T
— —
T
T
—
MOO



                                  STATION 7.—DEEP WATER SHOALS—69 SAMPLES 1
1965



1966



1967



1968



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin




37
43
15
—
21
29
12'
—
15
15
—
—




11
15
—
-
26
30
13
14
14
12
—
—




24 26
24 32
— —
— 23
19 31
21 41
— 19
— 40
17 15
15 15
— —
12 12




30
45
14
34
19
25
13
28
15
19
11
16




40
63
20
38
20
32
12
21
23
29
14
16
21
52
63
14
37
57
30
16
20
37
18
22
18
26
15
T
18
31
35
T
23
41
22
17
T
25
24
11
14
25
18
T
10
17
T
—
11
21
T
—
17
33
28
12
T
T
—

13
22
13
—
18
29
16
12
13
20
10
—
15
20
T
	
30 40
41 56
17 23
11 13
19 17
28 32
15 10
— —
21 19
23 20
11 24
— —
12 19
T 18
T T
T —
350
                                                                                PESTICIDES MONITORING JOURNAL

-------
      TABLE N-2.—-Distribution of organochlorine residues in C. virginka for each sampling nation hy date of
                                         collection—Virginia—Continued
YEAR
COMPOUND
RESIDUES IN PPB (^O/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                            STATION 7.—DEEP WATER SHOALS—69 SAMPLES '—Continued
1969 DDE
TDE
DDT
Dieldrin
1970 DDE
TDE
DDT
Dieldrin
1971 DDE
TDE
DDT
Dieldrin
3 PCB's
1972 DDE
TDE
DDT
Dieldrin
PCB's
T T 10 11 T 10
10 T 12 T T 16
_ — — — T T
- Lost - — T 11
41 19 10 27 10 12
43 22 11 12 T 21
60 — T — — 17
T — 14 — — 12
40
35
T
31
1,000
15
15
—
10
» 760
18 14 17 20 28
12 16 23 28 40
— !6 21 20 29
13 T — T 14
T 40 20 25 12 17
22 7) 40 43 17 28
T 10 14 25 T 12
16 -- — — —
T 16
13 21
— —
T 17
— 560





                                  STATION 8.—NANSEMOND RIDGE—64 SAMPLES '
1965



1966


DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
' Dieldrin
1967



1968



1969



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin




28 14 16 30
35 14 17 34
15 - — 13
— — — 17
14 17 22 18
17 16 20 18
T T 11 T
— - — 15
12 15 14 12
14 16 15 12
— T T —
— 11 — 10
— T 10 T
T T 11 T
- - - -
— — —




30
29
13
14
15
17
T
12
.12
47
45
21
r
T
-
—




36
52
29
22
14
20
12
T
24
32
27
15
11
23
10
10
16
59
53
17




14
24
11
12
23
38
23
T
T
r
-
-
17
43
39
T
34
55
29
14
18
35
20
14
14
29
15
-
50
37
23
-
17
29
25
-
13
18
_._
-
T
16
T
—
-
—
_-
—
11
14
T
-
T
14
T
-
10
15
10
-
13
24
10
—
T
12
—
—
16
28
13
11
27
37
24
T
11
16
16
—
17
24
13
10
16
13
T
—




36
49
31
11
11
19
10
—
20
25
10
11
16
22
T
—
16
26
12
T
VOL. 6, No. 4, MARCH 1973
                                                                                                              351

-------
        TABLE N-2.—Distribution  of organochlorine residues in C. virginica for each sampling station by date of
                                          collection—Virginia—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/IG/KO)
JAN. FEB. MAR.
APR.
MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                              STATION 8.—NANSEMOND RIDGE—64 SAMPLES'—Continued
1970



1971




1972



DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
PCB's
DDE
TDE
DDT
Dieldrin
12 15 — 10 16 10 T T
18 40 13 27 23 14 12 14
22 11 35 — 13 11 10 T
T — T T — — — —
22 11 16
18 13 15
T — —
15 T 20
3 1,000 — "440
16
14
—
—
                                     STATION 9.—HOSPITAL POINT—58 SAMPLES1
1966



1967



1968



1969



1970



1971




DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
'PCB's




42 52
48 53
31 29
T 16
68 92
79 67
52 55
13 19
12 17
T 11
— —
— T
15 32
21 54
T 29
T 14





140
120
40
13
26
17
T
—
60
48
18
15
31
32
11
10
15
35
—
—





82
73
32
18
34
25
—
—
57
49
20
12
22
21
19
10









63
60
31
15
33
42
20
11
48
48
34
12
15
28
11
T




40
40
20
T
2,800
83
130
89
20
37
76
58
16
50
93
83
13
15
28
27
T









66
96
39
—
29
67
36
—
30
67
35
10
15
33
15
10
T
22
10
-





37
63
43
—
11
55
31
-
20
62
19
T
28
70
41
T
18
37
19
—





20
36
22
—
20
59
62
10
14
30
12
—
33
84
46
19
24
57
28
—
27
49
—
12
—
24
53
35
—
39
83
63
15
13
24
10
10
32
92
71
10
13
30
14
—





26 27
42 40
27 24
— T
43* 54
78 64
100 37
16 19
11 26
17 21
T T
11 —
29
56
36
T
T 15
13 23
— 11
— —
27
32
—
24
960
352
PESTICIDES  MONITORING JOURNAL

-------
       TABLE N-2.—Distribution  of organochlorine  residues in C. virginica for each sampling station b\ date of
                                            collection—Virginia—Continued
YEAR



RESIDUES IN PPB (AC/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 9.— HOSPITAL POINT— 58 SAMPLES '—Continued
1972




DDE
TDE
DDT
Dieldrin
a PCB's
34
32
—
Lost
1,440
                               STATION 10.—LYNNHAVEN BAY—62 SAMPLES 1
1965



1966


1967



1968



1969



1970


DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT
Dieldrin
DDE
TDE
DDT




19 20 17 32 16 25
25 29 20 39 20 41
— — — T — 11
16 22 19 29 15 24
19 27 21 36 18 35
T T — T T 20
— — — 16 — —
19 T 29 18 27 30
22 — 43 18 28 45
T — 12 — 10 27
— — 13 — — _
18 16 12 11 16 12
16 22 21 11 21 16
— T T — T —
— — — _ — _
— 20 — T 11 28
— 26 — — — 29
T - - - - T
26
49
17
10
36
59
15
34
57
22
—
15
T
12
—







18
33
12
—
16
21
—
17
33
17
—
14
21
T
—
27
28
17
—



13
10
T
—
16
24
—
21
33
16
—
11
13
—
—
14
18
T
—
18
20
10
14
24
—
—
14
22
T
20
32
17
—
16
20
T
—
11
20
10
—



13
14
T
—
17
27
—
20
27
11
—
15
12
—
—
20
28
—
10
18
12
T
31
40.
T
—
14
26
T
18
25
10
—
19
20
T
—
18
23
—
—
14
23
T
1  Each sample represents 15 or more mature mollusks.
•J  Calculated as Aroclor  1242®.
••  Calculated as Aroclor  1254®.
VOL. 6, No. 4, MARCH 1973
                                                                                                                     VS53

-------
SECTION O.—WASHINGTON

The Pacific oyster, Crassostrea gigas, was used to moni-
tor 19 estuarine sites at monthly intervals in the period
October  1965    December  1968.  All  samples  were
analyzed  at the Gulf Breeze  Laboratory. The approxi-
mate station locations are shown in  Fig. O-l. A summary
of  data on organochlorine residues  in  the  monitored
species,  C. gigas,  is  presented in  Table O-l, and  the
distribution of residues in this  species for each sampling
station by date of collection in Table O-2.

The monitoring program was  terminated in  Washington
after 3 years  because of the absence of detectable DDT
residues in mcst samples. This  was  due to the absence of
DDT pollution and not because of any lack of sensitivity
on  the  part   of the monitored  species.  Analyses  of
samples of *he  Pacific  oyster  in California waters  had
demonstrated  its ability to store organochlorine residues
at  levels  comparable to other molluscan species in the
same estuary.

The  overall incidence of DDT residues  in  Washington
samples was only 11%. The maximum residue detected,
 176  ppb,  was  the  obvious result  of a  sfnglc pollution
incident.  Station 18 was  the  only  one demonstrating a
continuing, but low-level  pollution  problem.  The  fact
that  residues  at this station were  primarily  DDT rather
than one of its  metabolites suggests  a direct application
of the pesticide to coastal waters. Analytical data are too
few, even at  Station 18, to indicate any trend  in DDT
pollution. The overall picture is that  of an estuarine area
of the United  States that was remarkably  free from DDT
pollution  in the period 1965-68.
  FIGURE O-l.—Diagram of coastal Washington showing
        approximate location of monitoring stations
                              11.
 1.  Stackpole Harbor—Willapa Bay
 2.  Olson Slough—Willapa Bay
 3.  Bear River—Willapa Bay       12.
 4.  Naselle River—Willapa Bay
 5.  Nemah River—Willapa Bay     13.
 6.  Stony Point—Willapa Bay      14.
 7.  South Bend—WiMapa Bay       15.
 8.  Bearclslee Slough—            16.
      Grays Harbor             17.
 9.  Oyehut—Grays Harbor         18.
10.  Scquim Bay                  19.
North Bay Reserve—
   Puget Sound
Oakland Bay Reserve—
   Puget Sound
Mud Bay—Puget Sound
Padilla Bay—Padilla Bay
Swinomish—Padilla Bay
Scott Point—Samish Bay
Rock Point—Samish Bay
Lummi—Lummi Bay
Blaine—Drayton Harbor
    TABLE O-l.—Summary of data on organochlorine residues in the monitored species (C. gigas),  1965-68—Washington
STATION
NUMBER
1
2
3
4
5
6
7
8
9
10
11
12
LOCATION
Stackpole Harbor
Olson Slough
Bear River
Naselle River
Nemah River
Stony Point
South Bend
Beardslee Slough
Oyehut
*•• •uim Bay
North Bay Reserve
Oakland Bay Reserve
MoNMORING
PERIOD
1965-68
1966-68
1965-68
1965-68
1965-68
1965-68
1965-68
1965-68
1966-68
1966-68
1965-68
1965-68
NUMBER OI
SAMPLES '
38
30
38
38
39
39
39
NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (^G/KG)
DDT
9 (25)
7 (55)
3 (17)
! (11)
4 (21)
10 (176)
6 (23)
37 2 (27)
36
31
33
33




DlELDRIN



1 (120)








 354
                                                                                  PESTICIDES MONITORING JOURNAL

-------
       TABLE O-l.—Summary of data on organochlorine residues in the monitored species (C. gigas), 1965-68—
                                                Washington—Continued
STATION
NUMBER
13
14
15
16
17
18
19

LOCATION
Mud Bay
Padilla Bay
Swinomish
Scott Point
Rock Point
Lummi
Blaine
Occasional stations (2)
MONITORING
PERIOD
1965-68
1965-68
1965-68
NUMBER OF
SAMPLES '
32
39
38
1965-68 ; 39
1965-68 , 37
1965-68
1965-68
1966
Total number of samples
Percent of samples positive for indicated compound
38
38
1
695

NUMBER OF POSITIVE SAMPLES AND MAXIMUM
RESIDUE ( ) DETECTED IN PPB (MO/KG)
DDT

8 (17)
1 (T)
4 (10)

23 (99)



11
DrELDRIN









<1
NOTE: T = >5 but <10 ppb.
' Each sample represents 15 or more mature mollusks.
TABLE O-2.—Distribution of organochlorine residues in C. gigas for each sampling station by date of collection—Washington
                       [Blank = no sample collected; — = no residue detected above 5 ppb; T = >5 but <10 ppb]
YEAR
COMPOUND
RESIDUES IN PPB (/IG/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 1.— STACKPOLE HARBOR— 38 SAMPLES'
1965


1966


1967


1968



1966


1967


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT

DDE
TDE
DDT
DDE
TDE
DDT
T T —
T — —
T — —
— — TTT13 11 _ T — — —
— — T — — 12 — — — — — —
- — -- — — — — — — — —
----T-__ ___
	 	 	 	 -J- 	 	
— — — — — — — — ___
-------_____
	 	 	 	 	 	 	 	 	 	 	 . 	
— - — - — — - — — ___
STATION 2.— OLSON SLOUGH— 30 SAMPLES '
— 20 T — — — —
19 10 — — — —
— 16 — — — — —
-T-T — T-— ___
— 11 — T — 12 — _ ___
— 14 — 14 — 14 — — — — _
VOL. 6, No. 4, MARCH 1973
                                                                                                                       355

-------
           TABLE O-2.—Distribution of organochlorine -residues in C. gigas for each sampling station by date of
                                        collection—Washington—Continued
YEAR


1968



1965


1966


1967


1968



1965


1966


1967


1968




1965





DDE
TDE
DDT

DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT

DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
Dieldrin

DDE
TDE
DDT
RESIDUES IN PPB (/US/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 2.— OLSON SLOUGH— 30 SAMPLES ' — Continued
	 	 	 	 	 	 	 	 	 	 	 	
T — __________
15 — 14 — — — — — — — — —
STATION 3.— BEAR RIVER— 38 SAMPLES '
— — T
_ _ _
— — —
_____T______
— — ___ 12 ______
____________
	 	 	 	 	 -J* 	 	 	 	 	
_____T_- ___
_____T-_ ___
— — — — — — — — — — — —
____________
— — — — — — — — — — — —
STATION 4.— NASELLE RIVER— 38 SAMPLES >
— — —
_ _ _
— — —
— — — — — _ _ — ___ —
____________
— — — — — — — — — — — —
— _ — ____ — _ — —
— — — — — — — — ___
________ ___
____________
________ — — — —
H_____ — — — — — —
______ 120 — — — — —
STATION 5.— NEMAH RIVER— 39 SAMPLES >
— T —
— — —
— — —
356
                                                                                PESTICIDES  MONITORING JOURNAL

-------
         TABLE O-2.—Distribution of organochlorine residues in C, gigas for.each sampling station by date of
                                       collection—Washington—Continued




RESIDUES IN PPB (^G/KG)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 5.— NEMAH RIVER— 39 SAMPLES '—Continued
1966


1967


1968



1965


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
_ _ _ — — 11 T — — — — —
___ — — 10 ______
______ ______
______ ______
______ ______
___ — _ — ______
_______ — — — — —
_____ — _ — _ — — —
T — — — — — — — — — — —
STATION 6.— STONY POINT— 39 SAMPLES 1
DDE
TDE
DDT
T T —
14 T —
T — —
1965


1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
T T —
14 T —
T — —
T — — T T T 13 — — — — —
T — — T — 11 11 — — — — —
— — — — — — ______
— — — — — — — — — — — —
— — _ — __ _ 26 — — — —
— — — — — — — 150 — _ _ _
— — — — 	 	 	 	 	 	 	 	
— — — — — — — — — — — —
T — T — — — ______
                                     STATION 7.—SOUTH BEND—39 SAMPLES 1
1965


1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT

	 	 	
— _ _
T — T T T — 10 — — — __
T — 16 T — — 13 — ____
— — — T — _______
— T 	 	 	 	
— T — _______
— T — — __ _____
— — 	 	 	 	
— — ____ ___
~ ~ ~ — — — — — — — __
VOL. 6, No. 4, MARCH  1973
                                                                                                             357

-------
           TABLE O-2.—Distribution of organochlorine residues in C. gigas for each sampling station by date of
                                        collection—Washington—Continued
YEAR

COMPOUND

RESIDUES IN PPB (/WJ/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 8.— BEARDSLEE SLOUGH— 37 SAMPLES i
1965


1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
—
—
—
— — — 	 	 	 	 	 — — 	 —
— — — — — — — — — — — —
— — — — — — ______
— — __T — j — — — — —
____!!_ !!_____
— — _ _ 11 _ io_ — __ —
— — — — — — — _ — — — —
____________
____________
STATION 9.— OYEHUT— 36 SAMPLES 1
1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
______ ______
— — — — — — ______
______ ______
______ ______
— — — — — — — — — — — —
— — — — — — — — — — — —
______ ______
____________
— — — — — — — — — — — —
STATION 10.— SEQUIM BAY— 31 SAMPLES '
1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
_ _______
— _______
— _______
— — — — — — — — — — —
— — — — — — — — — — —
— — — — — — — — — — —
____________
____________
— — — — — — — — — — — —
358
                                                                                PESTICIDES MONITORING JOURNAL

-------
         TABLE O-2.—Distribution of organochlorine residues in C. gigas for each sampling station by date of
                                       collection—Washington—Continued
VTTID
TEAR

COMPOUND
RESIDUES IN PPB (AG/KC)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 11.— NORTH BAY RESERVE— 33 SAMPLES 1
1%5


1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
—
—
—
___ _____ — — —
___ ____ — — — —
___ ________
______ _____ _
______ __ — — — —
______ ______
___ — _ — _ — —
_________
— — — — — — — — —
STATION 12.— OAKLAND BAY RESERVE— 33 SAMPLES '
1965


1966


1967


1968



1965


1966


1967


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT

DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
—
—
—
— — — — — — — — — — —
___ ________
___ ________
— — 	 — — — 	 	 	 	 	 	
______ ______
______ ______
— — — — 	 	 	 	 	
— — — — — — — — —
— — — — — — — — —
STATION 13.— MUD BAY— 32 SAMPLES 1

_
—
--- ---_____
	 	 	 	 	 	 	 	
— — — — — — — — — — —
	 	 	 	 	 	
	 	 	 	 	 	 	 ___
— — - — — — — — — ___
VOL. 6, No. 4, MARCH 1973
                                                                                                              359

-------
           TABLE O-2.—Distribution of organochlorinc residues in C. gigas fur each sampling station by date of
                                          collection—Washington—Continued
YEAR
COMPOUND
RESIDUES IN PPB ; m, KG)
JAN. FED. MAS. APR. MAY JUNE JLH AUG. SEPT. OCT. Nov. DEC.
STATION 13.— MUD BAY— 32 SAMPLES '— Contimwd
1968
DDE
TDE
DDT
________
STATION 14.— PADILLA BAY— 39 SAMPLES '
1965
1966
1967
1968
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
T T —
	 y 	 ___ 	 f 	 	 	 	 	 	
_________ ___T T T —
	 	 	 	 	 	 	 	 12 T T 	
T_-________ —
STATION 15.— SWINOMISH— 38 SAMPLES '
1965


1966
1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
_ _ _
— — —
— — -
_________ __
______ ______
______ ______
_T__________
_______ ______
------ ____ _ _
______ ______
STATION 16.— SCOTT POINT— 39 SAMPLES '
1965


DDE
TDE
DDT
— — —
— — —
_ _ _
360
PESTICIDES  MONITORING JOURNAL

-------
           TABLE O-2.—Distribution of organochlorine residues in C. gigas for each sampling station by date of
                                        collection—Washington—Continued
YEAR
COMPOUND
RESIDUES IN PPB (^O/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT.
Nov. DEC.
                                 STATION 16.—SCOTT POINT—39 SAMPLES '—Continued
 1966
 1967
 1968
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
                                      STATION 17.—ROCK POINT—37 SAMPLES »
 1965
 1966
 1967
 1968
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
                                        STATION 18.—LUMMI—38 SAMPLES »
1965


1966



1967


1968


DDE
TDE
DDT
DDE

TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT

_ _ _
_ _ _

T T
------ -___15_
-----T -____,„
T — TTTUTT — T — T
10 -TUT 14 T T T T — T
25 19 29 44 42 74 34 14 15 21 21 19
T - — _ 10 T T T — — _
— — — — T T — — _-__
17 19 22 33 25 24 14 17 - - -
VOL. 6, No. 4, MARCH 1973
                                                                                                            361

-------
           TABLE O-2.—Distribution of organochlorine residues in C. gigas for each sampling station by date of
                                         collection—Washington—Continued
YEAR
COMPOUND
RESIDUES IN PPB (/KJ/KO)
JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. Nov. DEC.
STATION 19.— ELAINE— 38 SAMPLES'
1965


1966


1967


1968


DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
DDE
TDE
DDT
	 	 	
— — —
_ _ _
— — — — — 	 	 	 	 	 	 	
— — — — — — — — — — — —
— — — — — — ______
— — — — — 	 	 	 	 	 	 	
— — — — — — — — — — — 	
— — — — — — — — — — — —
— — — — 	 	 	 	 	 „_ 	
— — — — — — — — — — —
— — — — — — — — — — —
1 Each sample represents IS or more mature mollusks.
362
PESTICIDES  MONITORING JOURN.

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CONTRIBUTION NO. 156

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           RESIDUES  IN FISH,  WILDLIFE,
                             AND  ESTUARIES
                   Accumulation and Movement of Mirex in Selected Estuaries
                                    of South Carolina, 1969-71 '
                         P. W. Borthwick2, T. W. Duke3, A. J. Wilson, Jr.3, J. I. Lowe2,
                                    J. M. Patrick, Jr.2, and J. C. Oberheu3
                    ABSTRACT

In conjunction with a fire ant eradication program during
which mirex was  aerially  applied to coastal areas  near
Charleston, S. C., field studies were conducted to monitor
the movement and accumulation  of mirex in  the estuarinc
system.

Collections  of  background  and  periodic  posttreatmenl
samples of water, bottom sediments, shrimp, crabs, fish, and
estuary-dependent birds and mammals were  analyzed for
mirex using electron-capture gas  chromatography.

The  data revealed that  (I)  mirex was translocated from
treated lands and high marsh to estuarinc biota—all animal
classes sampled contained mirex:  and (2) biological concen-
tration of mirex occurred—especially  in predators such  as
racoons and birds.

Mirex residue  ranges for respective sample categories were:
water «10.01 ppb); sediment (0-0.07  ppm);  crabs (0-0.60
ppm); fishes (0-0.82 ppm); shrimps (0-1.3  ppm);  mammals
(0-4.4 ppm); and birds (0-17.0 ppm). No  mass  mortalities
were observed during the study.

                   Introduction

Mirex, a  chlorinated hydrocarbon, is  the insecticide
component of a bait used in the Southeastern  United
States to control the imported fire ant (Solenopsis saevis-
sima  richteri Forel).  This  bait was  developed after
various pesticides and pesticide-bait formulations applied
to control the ants proved  to be toxic  to nontarget or-
 1Contribution No. 156 from the Gulf Breeze Environmental Research
  Laboratroy, U.S. Environmental Protection Agency, Gulf Breeze.
  Fla. 32561, an Associate Laboratory of the National Environmental
  Research Center, Corvallis, Oreg.
 "Gulf Breeze Environmental Research Laboratory, U.S. Environmental
  Protection Agency, Gulf Breeze, Fla. 32561.
 a Bureau of Sport Fisheries and Wildlife, U.S. Department of the In-
  terior, Atlanta, Ga. 30323.
ganisms.  Large-scale  applications of dieldrin and hep-
tachlor were especially destructive to fish and wildlife
(2). Mirex was developed specifically to control fire ants
and, until recently, was  not  considered to be toxic to
nontarget organisms.

Independent experiments conducted  under controlled
conditions in the laboratory at Gulf Breeze, Fla., and at
Bears Bluff, S. C., showed this chemical to be toxic to
decapod crustaceans,  including juvenile blue crabs and
penaeid  shrimp (1, 5, 6). Because of these and  other
results and concern  of commercial fishermen  that ap-
plication of mirex to marsh areas could adversely affect
fishery resources, application of mirex to the coastal en-
vironment was suspended and this cooperative study was
undertaken.

The Gulf  Breeze  Laboratory (formerly  a biological
laboratory of the Bureau of Commercial Fisheries, Fish
and Wildlife Service,  U.S. Department of the  Interior)
entered  an agreement  with  the U.S.  Department  of
Agriculture in  September 1969, to study the accumula-
tion and  movement of mirex  in the estuarine  environ-
ment near Charleston.  S.  C. The  Bureau  of  Sport
Fisheries and  Wildlife of the Fish and Wildlife Service
also agreed to  participate in  the study which terminated
July 1, 1971.

The Gulf Breeze  Laboratory was responsible for de-
signing the study; collecting samples of bottom sediment,
water, shrimp,  crabs,  and  fish; and for analyzing  all
samples. The Bureau of Sport Fisheries and Wildlife was
responsible for collecting birds and mammals.

The purposes of this investigation were (1) to observe
the possible movement of mirex from treated areas near

                   PESTICIDES MONITORING JOURNAL

-------
Charleston, S. C.,  to the estuarine environment  and (2)
to determine levels of mirex in organisms, particularly
crabs and shrimp,  before, during, and after treatment of
the area. The investigation  began approximately  1  week
before the  first treatment  was  applied.  Pretreatment
samples were collected to establish  "background" levels
of mirex in  the environment. The short time period be-
tween the start of the investigation and  the application
of mirex, however, precluded  studies necessary to de-
termine the ecological impact  of this chemical  on the
study area.

                      Methods
STUDY AREA
The estuaries in  which these  studies were conducted
border  on a fire  ant treatment  area that  extended 30
miles on either side of a line from Columbia to Charles-
ton,  S. C.  The boundary of the treatment area ended
approximately 12 miles from the coast  (Fig. 1). Mirex,
therefore, was  not  applied  directly  to  the salt marsh,
except in an experimental plot near Toogoodoo Creek.

The  topography and biota of the estuarine environment
arc unique and often present special problems to environ-
mental studies.  Estuaries along this portion of the East
Coast of the United States are protected by barrier islands
and  are  supplied silt-laden  fresh  water by creeks and
rivers  on  the  mainland.  These  typical  "Spartina"
marshes support transient populations of  crabs,  shrimp,
and fish that develop to maturity in the  estuary, then re-
turn  to the  sea. In addition, resident populations of shell-
fish and some fin-fish inhabit the estuary throughout their
lives. Many predatory birds  and mammals depend upon
the estuarine organisms  for food.
                                 MONITORING   STATIONS
                      FIGURE 1.—Sampling sites in xelecivd eituuricx of South Carolina, 1969-71
 VOL. 7, No. 1, JUNE 1973

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Descriptions of sampling sites  with  the  dates  of  mirex
applications are given in Table  1.

Perodically,  levels of  mirex  in  water,  sediment,  and
biota were monitored at (1) four stations near  the main
inland mirex-treated area and within  and  near a 2-square
mile plot  of salt marsh that was treated  experimentally,
(2) six stations located on the major rivers that  drain the
main inland mirex-treated  areas, and (3) a station in a
semi-enclosed tidal pond 4 miles from the  main  inland
mirex-treated  area;  the  banks of  the  pond  (2.5  acres)
were treated with mirex by hand spreader.
APPLICATION OF MIREX
The mirex 4X  Bait  formulation  contained 84.7% corn-
cob grits, 15.0% soybean oil, and 0.39f mirex. The bait
was  applied  at  a  rate of  1.25 Ib per  acre or 1.7 g of
technical  mirex. This produced  approximately  16  par-
ticles of bait per square foot.
                        TABLF I.—Description i>f sampling sites mid dales of mirex application,
                                             South Carolina.  1969-71
MAP
LOCATION
NUMBER
(Fio. 1)
A




H




C



1)




1





-



.1



4




S




r,



7




NAME AND LOCATION
OF SAMPLING
SITU
Toogoodoo Creek
Lat. 32" 41' N
Long. 80° 18' W


do.




do.



do.




Riverland Terrace Pond
Lat. 32° 46' N
Long. 79° 59' W



Stono River ( Intracoastal
Waterway) at Lop
Bridge Creek
Lat. 32° 45' N
Long. 80° 08' W
Ashley River at
Runnymcadc Plantation
Lat. 32" 5.V N
Long. 80° 05' W
Cooper River at U.S.
Naval Ammunition
Depot
Lat. 32° 57' N
Long. 79° 56' W
Ashley River at
Oldtown Creek
Lat. 32° 48' N
Long. 79° 58' W

Wando River at
Bcresford Creek
Lat. 32° 53' N
Long. 79° 53' W
South Santee River
(Intracoastal Waterway)
at Alligator Creek
Lat. 32° 08' N
Long. 79° 19' W
REMARKS
Within the main inland mirex-treated area on the upper
reaches of the left branch of the Creek. Tidal marshlands
predominate along the north bank; pine woodlands lie
lo the south. Several homes are in the area. Also treated
experimentally by helicopter.
Begins at the mouth of Swinton Creek and continues east-
ward on lower part of the Creek; partially within the
mainland treated zone; marsh and woodland areas are
on each bank. A few homes arc along the south bank.
Also treated experimentally by helicopter.
Extends southward from the fork of Toogoodoo Creek,
jusl south of the experimental area treated by helicopter.
Extensive farmlands arc on the west bank, tidal marsh-
lands on the cast.
Begins 2 miles south of the helicopter-treated area and
continues to the mouth of Toogoodoo Creek on the
Inlracoastal Waterway. Uninhabited low marsh areas on
both sides of the creek arc riddled with many small
lidal creeks.
Seven miles from main inland treatment area, includes
one of two adjoining 1-acrc ponds in Riverland Terrace
(a residential area). The cast pond floods and drains
with ihe tides into Wappoo Creek (Intracoastal Water-
way), via two large culverts. The banks of the cast pond
were treated above the high tide mark by hand spreader.
homes along the cast side of the creek; the west side is
bordered by lidal marshes.


Old plantations and rural homes are located on the east
hank, and lidal marshes lie along the west side. This
fresh water station is inside the main inland mirex-trealcd
area.
Bordered on the west bank by high wooded ground. On
[he cast side, tidal marshes predominate. This fresh water
station is inside the main inland mirex-trcated area.


Six miles from Ihe main inland treated area. The Citadel
Military College is on the cast bank, Charles Townc
Landing on the west. Several industrial plants and homes,
in addition lo tidal marshes, are on this portion of the
river.
Six miles from the main inland treated area. This unin-
habited area is bordered by expansive marshlands and
marsh islands.

Six miles from the main inland treated area. This location
is uninhabited and near the Cape Remain Migratory Bird
Refuge.


APPLICATION DATES
1ST
10/14-15/69




do.




do.



do.




12/3/69




10/23/69




10/22/69

.

10/17/69




10/22/69




10/17/69



9/18/69




2o
6/3-4/70




do.




do.



do.




7/24/70




6/18/70




6/11/70



6/10/70




6/10/70




6/8/70



5/20/70




3D
10/27-28/70




do.




do.



do.




12/1/70









_



—




—




	



—




                                                                                PESTICIDES MONITORING  JOURNAL

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Mirex  4X Bait was applied by fixed wing multi-engine
aircraft (PV-2) to the inland treatment area, by  heli-
copter  to the Toogoodoo experimental plot, and by hand
spreaders to the banks of a tidal  pond. All  applications
were supervised by USD A.

The inland treatment area was divided into blocks that
varied  from  350,000 to  450,000 acres. An  electronic
guidance system (Decca Survey System) was  set up in
each block.  This system  consisted of three  transmitting
and receiving stations (one master station and two slave
stations). The master  and one of  the slave  stations pro-
duced an electronic tracking signal. Equipment mounted
in the application aircraft received this signal which was
fed through a computer into a dacometer. By use of the
dacometer,  the aircraft  pilot could follow the signal
from  one  point  to  another along  the tracking  path.
Uniform application  was  made  across  each  block by
flying along a series  of  parallel signals. The master  sta-
tion and the second  slave station  produced  a  ranging
signal that designated the points along the tracking path
where  the spraying was  cut off. These  signals, tracking
and ranging, were converted to a  numbering system and
the system  oriented to a  map of the  area being treated.

To allow for  better control, helicopter applications of
the mirex bait  at  the recommended rate were made to
800 acres  of  the  1,200-acrc Toogoodoo Experimental
Area. The  Bell G-2-A helicopter used for spraying was
equipped with  two side-mounted  hoppers  (300 pounds
capacity each)  with  electrically operated hopper  gates.
agitators, spinner-vane wheels,  and spreaders  for "posi-
tive control" at the ''cut-off point." Flying at  an  air-
speed of 40 miles per hour and  an altitude of 80 feet
produced  a 75-foot  wide swath: at 40  feet,  a  60-foot
wide swath.  Helium-filled kytoons were used to  mark
each swath path. Bait   distribution was even  at both
altitudes, but wind caused considerable aerial drift.

Approximately 2.5  acres  surrounding the tidal  pond
were treated three times at 6-month intervals by  hand-
operated seed spreaders.

SAMPLING
Materials Sampled
Pesticides entering the  estuarine  environment  become
part of the biogeochemical cycles continually in opera-
tion within that environment. Therefore, the water, sedi-
ment,  and  various biota  were sampled to  determine
routes  of movement and reservoirs  of the  chemical in
the study area.  Common and scientific names of aquatic
animals, birds,  and  mammals  collected for mirex  an-
alysis are listed in Table 2. Crabs  and shrimp were of
special  interest because of their sensitivity  to mirex.
Bottom and filter-feeding fish were  also collected  since
they could  accumulate mirex from  food web organisms

VOL. 7, No. 1,  JUNE 1973
that were often difficult  to obtain  because of  their
transitory nature and movement to deeper water during
the winter. In  general, representatives of all  species of
aquatic organisms caught in the trawl were analyzed for
mirex.

In selecting the birds and mammals for residue analysis,
an effort was made  to pick species that were (a) directly
dependent on  the estuarine  environment for food:  (b)
most likely to live and feed in the area where they were
collected; and  (c)  plentiful  enough to allow  periodic
collections with a minimum of difficulty.

The raccoon  was selected  as the mammal for sampling
since it is the most abundant carnivore in the salt marsh,
where  it  preys heavily upon crustaceans and shellfish.
It was  more  difficult to  decide  upon a  bird  species.
Numerous gulls, shore birds,  wading birds,  and other
water birds are found in the estuary, but most  of them
are migratory by nature, moving up and down the coast
in search of food or as a result of weather changes. Few
water birds are year-round  residents. The  clapper rail
was finally selected  as the most sedentary and widely
distributed bird in  the estuaries;  when rails were not
available at a particular sampling station,  wading birds
were collected. All  animals  collected  during  this study
are listed  in Table 2.

Co/lection of samples
Aquatic animals were collected with a 12-foot, %-inch
bar mesh, otter  trawl  towed  at 3  to 6 knots  for  20
minutes  at each station. Pond collections were made
with a  15-foot, 14-inch  mesh  haul  seine. Occasionally,
animals near  the surface were taken with dip nets; fidder
crabs and oysters  were collected  by hand.  Raccoons
were captured  with  wire live-traps; birds  were  hunted
on foot or from a boat.

Several methods  for collecting water (including carbon
filtration)  were considered, but because of the high silt
content of the well-mixed water,  water  was collected
just below the surface in a 1-gallon glass jug  and sealed
with a  teflon-lined  cap. A modified grab sampler was
used to collect bottom sediment  at each   station.  A
sampler  especially  designed  to collect the  upper few
centimeters of bottom  sediment was  used  in specified
instances.

Frequency of sampling

A pretreatment (background)  and  numerous posttreat-
ment samples were taken at all stations. Quarterly collec-
tions  of birds  and  mammals  were  scheduled around
the first week in September,  December,  March, and
June.  Periodically, this schedule was altered  by  2 or 3
weeks  to  select the  week  of highest tides for the best

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  TABLE 2.—Common and scientific names of aquatic animals, birds, and mammals collected for  mirex residue  analysis
                          CRABS
Blue crab
Common mud crab
Mud crab
Portunid crab
Sand fiddler
Brown shrimp
Brown-spotted shrimp
Grass shrimp
River shrimp
White shrimp
American eel
Allan tic.croaker
Atlantic menhaden
Atlantic silversidc
Atlantic thread herring
Bay anchovy
Blackcheek tonguetish
Black drum
Black sea bass
Bluefish
Fourspot flounder
Hogchoker

Mummichog
Pinfish
Sailfin molly
Sea catfish
Searobin
Sheepshead

Silver perch
Snook
Southern kingfish
Spot
Spotted hake
Spotted seatrout
Callinecies sapidus -Rathbun
Panopeus herbstii  H. Milne Edwards
Rithropanopcus harrlsii  Gould
Callinectes ornaius  Ordway
II ca pugilaior  (Hose)
                        SHRIMPS
Penaeus aztecus  Ives
Penaeus duorarum  Burkenroad
Palaemonetes pugio  Holthuis
Macrobraclrium ohione  (Smith)
Penaeus setiferus  (Linnaeus)
                         FISHES
Anguilla rostrala  (Lesueur)
Micropogon undulatus  (Linnaeus)
Brevoortia tyrannus   (Latrobe)
Menidia mcnidia  (Linnaeus)
Opisthonema oglinum  (Lesueur)
Anclwa miichilli  (Valenciennes)
Symphurus plagiusa   (Linnaeus)
Pogonias cromis  (Linnaeus)
Ccntropristis striata  (Linnaeus)
Pomatomus saltatrix  (Linnaeus)
Paralichthys oblongus  (Mitchill)
Trincctes maculatus   (Bloch and
                  Schneider)
Fundulus heteroclitus  (Linnaeus)
Lagodon rhomhoides  (Linnaeus)
Poccilia latipinna  (Lesueur)
Arius telis  (Linnaeus)
Prionotus sp.
A rchosargus probatocephalus
    (Walbaum)
Bairdiella chrysura  Lacepede
Centroponius undccimalis  (Bloch)
Menticirrhus americaniis  (Linnaeus)
Lciottonius xanrhurus  Lacepede
Urophycis regius  (Walbaum)
Cynoscion nchulosus  (Cuvier and
                   Valenciennes)
FISHES— Continued
Star drum
Striped killifish
Striped mullet
Weakfish
White catfish
White mullet
Winter flounder
Stellifer lanceolatus (Holbrook)
Fundulus majalis (Walbaum)
Mugil cephalus Linnaeus
Cynoscion regalis (Bloch and Schneider)
tctalurm catus (Linnaeus)
Mugil curema Valenciennes
Pseudopleuronectes arnericanus
(Walbaum)
MISCELLANEOUS AQUATIC ANIMALS
American oyster
Brief squid
Nudibranch
Southern periwinkjc
Crassostrea virginlca (Gmelin)
Lolligunciila bre\'is (Blainville)
Doris sp.
Littorina irrorata (Say)
BIRDS
American bittern
American egret
Anhinga
Belted kingfisher
Clapper rail
Common snipe
Green heron
Least bittern
Little blue heron
Louisiana heron
Marsh hawk
Pied-billed grebe
Plover
Snowy egrel
Sora rail
Virginia rail
White ibis
Willet
Yellow-crowned night heron
Botaurus lentiginosus (Rackett)
Casmerodius albus (Linnaeus)
Anhinga anhinga (Linnaeus)
Mcgaceryle alcyon (Linnaeus)
Rallus longirostris Boddgert
Capella galllnago (Linnaeus)
Butorides \-irescens (Linnaeus)
Ixobrychus cxilis (Gmelin)
Florida caendea (Linnaeus)
Hydranassa tricolor (Muller)
Circus cyancus (Linnaeus)
Podilymbus podiceps (Linnaeus)
Cliarndriux sp.
Leitcophoyx thula (Molina)
Porzana Carolina (Linnaeus)
Rallus limicola Vieillot
Eudocimus albus (Linnaeus)
Catoptrophorus semipaltnatus (Gmelin)
Nyctanassa riolacea (Linnaeus)
MAMMALS
Opossum
Raccoon
Didelpliis rirginiana (Linnaeus)
Procyon lotor (Linnaeus)
rail hunting. Samples were taken  at the six river stations
24 hours  and 3  months after each  of two applications
of  mirex  to the  inland treatment area  by  fixed  wing
aircraft.  Biweekly collections were  made  at  the four
stations in the Toogoodoo Creek Plot during the entire
18  months  of  the study; mirex  was applied to  the  ex-
perimental  plot  by  helicopter  three times at  6-month
intervals to high  marsh only, i.e.,  marsh not  normally
covered by tidal  waters. Samples were  taken  from  the
tidal  pond  24 hours after  each of three  hand-spread
treatments and  at irregular  intervals between  applica-
tions.

ANALYTICAL PROCEDURES
Preparation of samples
Crabs,  shrimp,  and   fish were prepared  separately  by
pooling whole individuals,  but birds and mammals were

10
                                      prepared  individually.  Muscle  tissue from  breast and
                                      upper wing in birds and thigh  in raccoons and oil glands
                                      and eggs from birds were analyzed.  All samples were
                                      ground and  mixed  thoroughly  in  a blender.  A  30-g
                                      subsample was blended with a desiccant mix composed
                                      of  10%  QUSO  (a microfine  precipitated  silica) and
                                      90%  anhydrous  sodium sulfate.  This mixture was al-
                                      ternately  frozen and blended until a free-flowing powder
                                      was obtained.

                                      Sediment samples were spread  on  sheets of aluminum
                                      foil and dried  at room temperature.  The dry sediment
                                      was pulversized to a fine powder in a blender.

                                      At this stage of preparation, the samples were  wrapped
                                      in aluminum foil, packaged in plastic bags,  and  mailed
                                      to  the  Gulf Breeze   Laboratory  for   extracting and
                                      pesticide  residue analysis.
                                                            PESTICIDES MONITORING JOURNAL

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Water  samples were refrigerated for  up to  2  weeks
until they were mailed  to Gulf Breeze for analysis.

Analysis of samples
Tissues of  shrimp,  crabs,  and fish  mixed  with  the
desiccant  were extracted for  4 hours with petroleum
ether in a Soxhlet apparatus.  Extracts were concentrated
to approximately 10 ml and  transferred in  3- to  4-ml
portions  to  a 400-mm  by  20-m.m  chromatographic
column that contained  76 mm of unactivated Florisil.
After each  portion settled in the column, vacuum was
applied to evaporate the solvent. This was repeated  after
each addition  and  after three 5-mt  petroleum ether
rinses  of the extraction flask. The  vacuum  pump was
disconnected after  all solvent  had evaporated, and the
residue was eluted  from the column with 70 ml of 9:1
mixture of  acetonitrile  and  distilled water.  The eluate
was evaporated to dryness  and the residue  transferred
to a Florisil column (7) with petroleum  ether.

Sediment samples were dried  at room temperature and
extracted for 4 hours  with  10% acetone in  petroleum
ether in a Soxhlet apparatus. Extracts  were concentrated
 to  approximately 10  ml and  transferred to  a  Florisil
 column (7).

 Water samples were not filtered before being extracted
 with  petroleum  ether.  The  extracts  were  dried  with
 anhydrous sodium sulfate and reduced to an  appropriate
 volume.

 The extracts of all  substrates  were  identified and meas-
 ured by  electron capture gas chromatography.  Extract
 volumes  were adjusted to  obtain a  sensitivity  of 0.01
 ppm (mg/kg) for tissue and sediment samples and 0.01
 ppb (^g/liter) for  water samples. Operating conditions
 of  the two 152.4-cm  by 3.2-mm  glass columns used
 were:
   Liquid phase:
   Solid  Support:

   Temperatures:
     Oven:
     Injector and detector
   N2 flow rate:
 Laboratory tests indicated recovery rates for mirex were
 greater than  85%.  Data in  this report do  not include a
 correction factor for percent  recovery. All residues  re-
 ported  are on a wet-weight basis, except those  of sedi-
 ments,  which are reported  on a dry-weight basis. Thin
 layer chromatography. "p" values, and  mass  spectro-
 metry were used to confirm the presence of mirex.

 STATISTICAL ANALYSIS OF DATA
 All  statistical comparisons  were made with the  x-'-test
 for independent samples dr), and differences were consid-

 VOL. 7, No.  1, JUNE 1973
2Tr OV-101
10(1 120 Ga.s
Chrom Q
188" C
210' C
25 ml min
1 :1 2Tc OV-ini
100/120 Gas
Chrom Q
180° C
210° C
25 ml 'min
ered real  at the 0.01  level of significance. The move-
ment of mirex  into  the aquatic  environment and  its
consequent  accumulation  in  populations of  estuarrne
animals were presumed  to he greatest in areas where a
significantly greater proportion of samples was positive
for mirex (>0.01 ppm).

Average residues reported were computed by assuming
that samples where mirex was not detected «0.01  ppm)
actually had no residue.

Bird and mammal residue data were not analyzed statis-
tically:  however,  average mirex  residues   in  muscle
tissues are tabulated  for herons  and egrets  (Table 10),
clapper rails (Table  11), and raccoons (Table  13).
                       Results
 PRETREATMENT SAMPLES
 Mirex was not detected in any pretreatment samples of
 crabs, shrimp, fish, sediment,  or water taken from  the
 six  monitoring stations.  Toogoodoo  stations,  or  the
 Riverland Terrace  pond. Mirex  residues were found in
 about one-third of the pretreatment samples of  migra-
 tory  birds (Table  9). Only  one  raccoon  was collected
 before treatment,  and this  sample was free of mirex
 residues.  Background residues in birds collected in  the
 Charleston  area are discussed  in  the section on "Signifi-
 cance of Data."

 WATER AND SEDIMENT SAMPLES
 Mirex was  not detected  in water samples  during  the
 study. No attempt was made, however, to concentrate
 water samples (such as carbon filtration of large volumes
 (if water).

 Sediment samples  were negative, except in six instances
 (three samples from Riverland Terrace pond and three
 from the  Ashley  River within   the treated  zone).  Ac-
 cordingly,  mirex  residues in water  and  sediment  are
 not reported in tabular form.
 ACCUMULATION OF MIREX  IN BIOTA
 Biological  concentration  of   mirex  occurred  in
 cstuarine food web as shown  below:
the
SAMPLL
Water
Sediment
Crabs
Fishes
Shrimps
Mammals
Birds
Ri'.smui: RANGT
( ppm )
< 0.01 pph
n^-o.n?
0-0. 60
0-0. 82
0-1.3
0-4.4
0-17,0
PF.RCF.NT OF POSTTREAI MENT
SAMPLES WITH MIREX RESIDUES
0
3
31
15
10
54
78
  -0= < 0.01 ppm

  Differences in the  amounts  of mirex  accumulated  by
  the animals were probably caused by  variables such as
  proximity  to the treated area, duration of exposure to a

                                                     11

-------
mirex-contaminated habitat, seasonal  habits, avoidance
ability, and position in the food web.

Additional variation may depend upon parameters such
as method of application, amount and frequency of rain-
fall, surface runoff, variations in sea level, and degrada-
tion.

Levels of mirex found  in the biota are  listed in Tables
5 to 14.
                     Discussion
ANIMAL MORTALITIES
Procedures  used in  this  study were neither capable of,
nor  intended to  comprehensively detect  mortality of
aquatic organisms. The  sampling areas were, however,
inspected for  dead  or  affected  animals  during  each
sampling  period,  and mass mortalities would probably
have been detected visually or in trawl catches. No mass
mortalities of organisms  were observed  during the study.
Our laboratory  experiments  (5) suggest that  mortalities
in a population of  marine  crustaceans  due to  mirex
would not  all  occur at the  same time. Symptoms of
mirex  poisoning exhibited  by shrimp and crabs prior to
death  are irritability, uncoordinated  movement,  loss of
equilibrium, and  paralysis. An affected  crab may live
several days or  even weeks after  the initial exposure to
mirex. Animals in advanced  stages of  poisoning  would
be highly susceptible to prcdation by  larger  carnivores
and  could  be  swept out  of  estuaries  hy  tidal  action.
Thus,  affected  animals  could  be  removed  from  the
system without  leaving  visible evidence of their condi-
tion. Further, any dead animals  would generally  enter
the detritus pool soon after death.

TOOGOODOO CREEK EXPERIMENTAL  AREA—
/,200-acre  plot (Fit>.  /) treated hy  helicopter  on  Oct.
14-15. 1969; June 3-4.  1970: and Oct. 27-2K. 1970

Movement of mirex from  trcaied lands above the  high-
tide  mark undoubtedly occurred after each of the  three
treatments,  especially  the first.  The  mechanisms of
transporting mirex  from  treated  land  areas  to  the
Toogoodoo  Creek estuary arc  poorly  understood.  Sur-
face runoff, into the drainage  system  (especially  after
heavv  rain)  is one suspected cause.

All  species  sampled  contained  mirex.  Residues  first
appeared  in a   shrimp  sample  2 weeks  after the  first
treatment.  From  then   on.  the relative frequency of
mirex-positivc  samples  and  the  "average"  levels of
mirex  residues  fluctuated  greatly. Mirex was  present,
however, in at  least'one  sample in 33 of 44 collections.
Some of the statistically significant relationships occur-
ring  within these fluctuations are discussed in the  follow-
ing paragraphs.
Application effects
The relative number of samples  that contained mirex
appeared to increase during the first 10 weeks after each
treatment and  then  to decrease in the  10- to 20-week
period (Table 3).  After  the first  and third  treatments,
the number  of  positive  samples  appeared to decrease
even further in the third interval,  20 to  32 weeks.

These decreases for  each individual treatment were not
statistically  significant;  however,  when  data  from  all
treatments were evaluated together, the  relationship be-
tween  time elapsed  since  spraying  and  the decreasing
number of positive samples proved to be real.

Decreases in the percent occurrence of mirex residues
from the first  to  the third treatment were  significant.
This could  be  due to:   (1) mirex  being translocated
rapidly  from the estuarine biota  to  reservoirs in  fatty
tissues of predacious birds and  mammals, (2) transient
estuarine  animals  (e.g.,  crabs,   shrimp)  translocating
mirex during emigration  from nursery areas of Toogoo-
doo Creek, (3)  possible  differences  in  the  manner in
which  mirex bait was  applied  by  the  two  helicopter
pilots, or (4) degradation  of mirex  by  physical, chemical,
or biological processes.

Location effects
The relative  number of samples positive for mirex also
fluctuated with station location.  Stations A and B  were
located  within  the treated area, and  Stations C and D
were downstream from the treated area  (Fig.  1). Mirex
levels at these stations gave some indication of the move-
ment of mirex from treated land areas into untreated
areas downstream.

As expected, more animals from  the treated area  con-
tained  mirex than did those from downstream stations
(Table 4). This  relationship was  statistically  significant
after the first and third  applications, but  was only.ap-
parent after  the second  treatment.  The frequencies of
positive samples at  stations located  within the treated
zone  (A  and B)  were  not significantly  different. As
shown in Table 4, there was an  apparent decrease in
frequency of positive  samples with  increased distance
from the treated zone.

Species effects
The percent occurrence  of  mirex was  higher in  crab
samples than in fish or  shrimp  samples. Although this
difference was apparent at Stations A through  D, it was
statistically significant only at Station B. Overall,  how-
ever, the higher residues  in crabs were significant  after
the first two helicopter treatments, but was not statisti-
cally significant after the third treatment. The frequency
of positive samples appeared.unrelated to size of crabs
or to species of fish.

                    PESTICIDES  MONITORING JOURNAL

-------
  TABLE 3.—Percent occurrence of mirex in crab, shrimp,
  and fish samples by time of sample collection in respect to
  mirex application at Toogoodoo Creek Experimental Area
APPLICATION
First (Oct. 14-15,
Second (June 3-4,
Third (Oct. 27-28,
1969)
1970)
1970)
Overall Percent Occurrence
PERCENT OCCURRENCE OF MIREX BY
SAMPLING TIME IN WEEKS
SINCE APPLICATION
0-10
37
22
28
28
10-20
36
9
12
17
20-32
18

2
8
TOTAL WEEKS
30 (0-32 weeks)
16 (0-20 weeks)
12 (0-32 weeks)
19
 TABLE 4.—Percent occurrence of mirex in aquatic animals
       by sampling site with respect to treated area

SAMPLING
SITE

A
B
C
D

3
4
2
5
6
7

LOCATION WITH
RESPECT TO
TREATED AREA

Inside treated area
Inside treated area
Just outside treated area
2 miles downstream
from treated area
Upstream stations located inside
main inland treated area

Downstream stations located out-
side main inland treated area

PERCENT OCCURRENCE
MKEX IN ALL POST-
TREATMENT SAMPLES
OF CRABS, SHRIMP,
AND FISH
29%
24%
17%

8%
70%
70%
30%
0%
25%
0%
 MONITORING STATIONS— mirex  was applied to inland
 treatment areas (Fig.  1)  by fixed-wing aircraft during
 September-Ocotber 1969  and May-June 1970

 Trends in the data were similar to those observed in the
 Toogoodoo  Creek Experimental Area.  The  greatest
 number of positive samples  occurred shortly after treat-
 ment and diminished  with  time.  Samples positive for
 mirex  were significantly  more   frequent  within  the
 treated area, upstream Stations 3 and  4, than at sites
 located outside  the treated  area,  downstream  Stations
 2, 5, 6, and  7 (Table 4).

 Although significant differences in percent occurrence
 were noted between these two groups, individual stations
 showed  no   significant  differences  because  too  few
 samples were taken and  too few positive samples oc-
 curred for x2-analysis.  Also, for the individual monitor-
 ing stations, the relative number  of  samples  containing
 mirex  did not vary depending on the  type  of  animal
 sampled.

A more frequent  occurrence  of mirex  residues was
apparent after  the second  application  than after  the
first, but this increase was not significant.

 VOL. 7, No.  1, JUNE 1973
 RIVERLAND TERRACE POND—a 2.5-acre  zone around
 the  pond  treated by  hand-operated seed spreader on
 Dec. 3, 1969; July 24, 1970; and Dec.  1, 1970

 Although mirex was applied three times  to the banks of
 the pond, it was obviously not accumulated by sampled
 biota. During the  study, only two crab samples  con-
 tained mirex. In addition, three sediment samples were
 positive. The method of treatment (mirex  applied by
 hand to a narrow bank around the pond  above the high-
 tide mark  on hard mud banks) might have  caused the
 occurrence of the mirex in the sediment  samples. "Crab
 samples" of sediment often consisted of as many as 20 to
 25 "grabs" taken near the edge of the pond and one or
 more particles of bait could have been picked up with the
 sample.

 Special attention was given  Riverland Terrace Pond to
 observe any individual- or .mass-mortalities in the pond
 biota. Migration of animals  was controlled by means of
 retaining screens (V^-inch mesh) placed over  two cul-
 verts that flood and drain the treated pond. Daily screen
 checks were made  for a 3-week "period to reveal any
 distressed,  moribund, or  dead animals.  Crabs, shrimp,
 and  fish  observed in the  pond or  on the screens never
 appeared to be affected.

 During several pond collections after treatment, seine-
 hauls revealed large populations of grass  shrimp (mostly
 Palaemonetes pugio) and many  of the females  were
 gravid. On  one  occasion, grass shrimp  were  held  for
 several weeks in an aquarium, where  the shrimp  re-
 mained healthy  and their eggs seemed  to  develop  and
 hatch normally.  At no time was mirex  detected in the
grass shrimp population.

 SIGNIFICANCE OF DATA
Surprisingly,  mirex  appeared  in one-third  of the  birds
in the pretreatment  sample.  Since  the study  area  had
not been previously  treated  with  a large-scale applica-
tion  of mirex. the birds must have accumulated the
residues from some other area. A large  acreage around
Savannah, Ga., had  been treated  with three successive
applications of mirex in  a pilot study of the feasibility
of eradication. This area is the likely source of the mirex
residues.  Thus, migration is  an important factor in  in-
terpreting the study data.  Stewart's  (9)  report  that
northern  clapper rails  banded  at Chincoteague,  Va.
migrated southward to winter  in the coastal marshes of
the South Atlantic States, including South Carolina, sup-
ports this view.

Measurable  levels of  mirex  appeared  at  all  stations,
demonstrating that tidal flushing, biological transport, or
some other  mechanism  can  distribute  the  chemical
throughout the estuary, regardless  of precautions taken

                                                  13

-------
to avoid  treatment in the tidal  zone.  This finding is
evidence that mirex  can  become widespread in animal
food webs.

The occurrence and amount of mirex in birds and mam-
mals varied  considerably at all  stations. This  is to be
expected since  all of these animals  are  more or less
migratory,  and  food  sources of  individuals vary.  Simi-
larly, Keith (4)  found that  levels  of insecticide residues
in fish-eating birds vary considerably within  local popula-
tions of most  species. Even  so,  average residues  that
appeared  at  the different  stations correlated well with
station  location  in  respect to  treated  area,  with  the
highest residues  occurring  at stations within  a treated
area and the lowest at stations farthest from the source
of contamination.

Approximately  78%  of  the  179  birds collected  after
treatment  began contained  measurable  residues  of
mirex,  whereas  residues were  present in only  54% of
the raccoons. The greater mobility of birds is doubtless
the reason for this difference. In any case, occurrence of
mirex residues  as well as the quantity of residue in  the
animal appear  directly related to drainage  and distance
from a treated area.

Residues in  animals  collected  from  the  2-square-mile
treatment area on the Toogoodoo creek marshes (Sta-
tions A, B,  and C)  were  not  as  great as those  from
animals collected within the inland treatment zone. This
is not  surprising because  water as well as food-chain
organisms  in  the  Toogoodoo  marshes  were  flushed
twice daily by 4- to 6- foot tides.

Local and  seasonal  migrations  of the sampled species
would  tend to mask  any  evidence of residue buildup
during the course of the study. Even so, the absence of
any individuals  with  greatly elevated residue  levels in-
dicates  that  average  levels did  not continue  to rise
beyond levels reached in the first few months following
treatment. Raccoons  were  the most sedentary animals
sampled. Data  in Table 12 indicate that  there was no
gradual buildup of mirex  residues in  raccoons, although
some seasonal variations  are  apparent.

The  highest  mirex  residue (17.0  ppm)  found  in any
animal analyzed occurred  in a kingfisher.  The highest
level found  in a raccoon  was 4.40 ppm. All birds and
mammals that contained residues in excess of 1.00 ppm
are listed in Table 14.  All animals on this list, except the
kingfisher from  Station D and two raccoons from Sta-
tion 2, came from stations classified as having a "high"
mirex exposure potential.
  See Appendix for chemical name of mirex


                  Acknowledgment

Special  thanks are due  Dr. Nelson Cooley for editorial
help,  Dave Hansen  for  assistance with  statistical an-
alysis, Jerry Forester and Johnnie Knight for analysis of
samples,  and  Madeleine  Brown and Steve  Foss for
assistance in  manuscript preparation—all  of  the Gulf
Breeze  Environmental  Research  Laboratory,  U.S. En-
vironmental Protection  Agency.

We also thank the following persons who supervised the
application of mirex or approved or conducted various
aspects  of the collection  and preparation of  samples:
Julian  Mikell, Plant Protection  Division  U.S. Depart-
ment  of  Agriculture;  Charles  Bearden  and  Michael
McKenzie, Division  of  Marine Resources, S.C. Wildlife
Resources Department;  Alston Badger, Bears Bluff Field
Station, U.S.  Environmental Protection Agency;  Frank
McKinney, Grice Marine Biological Laboratory, College
of Charleston.
                LITERATURE CITED

(1)  Bookhout,  C. G., A. J. Wilson, Jr., T.  W. Duke, and
    J. I. Lowe. 1972. Effects of mirex on the  larval develop-
    ment of two crabs. Water, Air, Soil Pollut. 1(2):165-180.
(2)  Carson, R. 1962. Silent Spring, p. 161-169.  Houghton
    Mifflin Co., Boston, Mass.
(3)  Frear,  D.  E.  H. 1969.  Pesticide Index, 4th ed. 399  p.
    College Science Publishers, State College, Pa. 16801.
(4)  Keith,  J. O. 1968. Insecticide residues in fish-eating birds
    and their environment.  Aves 5(1):28-41.
(5)  Lowe,  J.  I.,  P.  R. Parrish, A. J. Wilson, Jr., P. D.
    Wilson, and  T.  W. Duke.  1971.  Effects of mirex on
    selected estuarine organisms. In Transactions of the 36th
    North  Am. Wildl. Natl. Resour. Conf.  p. 171-186.
(6)  McKenzie, M. D. 1970. Fluctuations in  abundance of the
    blue crab  and factors  affecting mortalities.  S. C. Wildl.
    Resour. Dep., Marine  Resour. Div., Tech. Rep. No. 1,
    45  p.,  Charleston, S. C.
(7)  Mills, P. A., J. H. Onley, and R. A. Gaither. 1963. Rapid
    method for chlorinated pesticide  residues in nonfatty
    foods.  J. Assoc. Off. Anal. Chem. 46(2):186-191.
(8)  Siegel,  S.  1956.  Nonparametric  statistics  for  the  be-
    havioral sciences.  McGraw-Hill Book Co., Inc., New
    York, N. Y.
(9)  Stewart, R. E. 19$4. Migratory movements of the north-
    ern clapper rail. Bird Banding 25(1): 1-5.
14
                     PESTICIDES MONITORING JOURNAL

-------
         TABLE 5.—Mirex residues in shrimps by sampling site and sampling time, South Carolina, 1969-71
                                               [— = not detected]

INTERVAL NUMBER IN
SPECIES FROMMIREX CoMPOSITE
APPLICATION SAMPLE
TO SAMPLING
SIZE OF
INDIVIDUALS
IN COMPOSITE
SAMPLES
(INCHES)
MlREX
RESIDUE
(PPM —
WHOLE
BODY)
SAMPLING SITE A— TOOGOODOO CREEK
White shrimp Background 3
First application
(Oct. 14-15, 1969)
White shrimp 24 hrs 4
2 wks 4
4 wks 10
Brown shrimp 30 wks 13
Brown-spotted shrimp 32 wks 10
Second application
(June 3-4, 1970)
Brown-spotted shrimp 24 hrs 12
2 wks 12
4 wks 12
6 wks 12
8 wks 12
White shrimp 10 wks 12
12 wks 12
14 wks 12
16 wks 12
18 wks 11
20 wks 12
Third application
(Oct. 27-28, 1970)
White shrimp 24 hrs 12
2 wks 4
Brown-spotted shrimp 20 wks 5
24 wks 5
28 wks 4
30 wks 12
32 wks 12
2.5


2.5
2.5
4-5
2.5-3.5
3.5-4


3.5-5.5
5-5.5
5.5-6
5-6
3.5-5
3.5-4.5
2.5-3.5
3-4.5
4-4.5
5.5-6
5-6


5-6
5-6
2.25-2.5
2.5-3.5
3.5-4.5
2.5-5
2-4
—


—
—
.014
—
—


.014
—
—
.024
—
—
—
—
—
—
—


—
—
—
—
—
—
—
SAMPLING SITE B— TOOGOODOO CREEK
White shrimp Background 4
First application
(Oct. 14-15, 1969)
White shrimp 24 hrs 4
2 wks 4
4 wks 10
Brown-spotted shrimp 30 wks 2
32 wks 3
Second application
(June 3-4, 1970)
Brown-spotted shrimp 24 hrs 12
2 wks 12
4 wks 2
6 wks 5
8 wks 12
White shrimp 10 wks 12
12 wks 12
14 wks 12
16 wks 12
18 wks 12
20 wks 12
Third application
(Oct. 27-28, 1970)
White shrimp 24 hrs 12
2 wks 3
Brown-spotted shrimp 18 wks 3
22 wks 5
24 wks 10
26 wks 4
28 wks 12
30 wks 11
32 wks 12
3


3
3-4
4-5
3-5
4


5-6
5-5.5
4-6
4-7
4-5
3-4
2-3
3.5-4.5
4-4.5
5-6
5


5-6
4.5-6
3-4.5
2-4
3-4
3-4.5
3-5.5
2.75-5
3-4.5
—


—
.040
.052
—
—


—
—
—
—
—
—
—
—
—
—
—


—
—
—
—
—
—
—
—
—
INTERVAL
SPECIES FROM MlRE>
NUMBER IN
' COMPOSITE
APPLICATION SAMPLE
TO SAMPLING
SAMPLING SITE
SIZE OF
INDIVIDUALS
IN COMPOSITE
SAMPLES
(INCHES)
RESIDUE
(PPM —
WHOLE
BODY)
C— TOOGOODOO CREEK
White shrimp Background 3
First application
(Oct. 14-15, 1969)
White shrimp 24 hrs
2 wks
4 wks
6 wks
Brown-spotted shrimp 30 wks
32 wks
Second application
(June 3-4, 1970)
Brown-spotted shrimp 24 hrs.
2 wks
4 wks
6 wks
8 wks
White shrimp 10 wks
12 wks
14 wks
16 wks
18 wks
20 wks
Third application
(Oct. 27-28, 1970)
White shrimp 24 hrs
2 wks
Brown-spotted shrimp 20 wks
Grass shrimp 24 wks
Brown-spotted shrimp 26 wks
28 wks
30 wks
32 wks
SAMPLING SITE


6
4
10
10
1
3


9
12
12
12
4
1
12
12
12
12
10


12
10
4
132
9
12
12
12
5


4-5
3
4-5.5
3.5-4
5.5
6-7


4-5
3-5
4-6
5-6
4
4.5
2.5-4
4.5-5.5
4-4.5
5.5-6
5-6


5-6
5-7
3.5-4.5
.75-1.25
3.5-5.5
3.5-5
4-5
3.5-5
—


—
-_
.020
.014
—
—


.015
—
—
—
—
—
—
—
—
—
—


—
—
—
—
	
—
—
—
D— TOOGOODOO CREEK
White shrimp Background 2
First application
(Oct. 14-15, 1969)
White shrimp 24 hrs
2 wks
4 wks
6 wks
8 wks
Brown-spotted shrimp 24 wks
30 wks
Second application
(June 3-4, 1970)
Brown-spotted shrimp 24 hrs
2 wks
4 wks
6 wks
White shrimp 10 wks
Brown-spotted shrimp 12 wks
White shrimp 14 wks
16 wks
18 wks
20 wks
Third application
(Oct. 27-28, 1970)
White shrimp 24 hrs
2 wks
Brown-spotted shrimp 20 wks
24 wks


2
2
7
10
15
2
2


12
12
2
12
4
12
12
12
12
10


12
1
2
6
6


5
4.5
5-6
4-5
3.5-5
4.5-5
3-3.5


4-5
5-6
5
5-6
3.5-5.5
3-4.5
4.5-5.5
4-5
5.5-6
5-6


5-6
4.5
5
3.5-4.5
—


	
	
	
	
.027
	
—


	
	
	
	
	
	
	
_,
	
_


_
_
	
—
VOL. 7, No. 1, JUNE 1973
                                                                                                           15

-------
    TABLE 5.—Mirex residues in shrimps by  sampling  site and sampling  time,  South Carolina,  1969-71—Continued
                                                        [— = not detected]
INTERVAL .
SPECIES FROM MIREX
APPLICATION
TO SAMPLING
NUMBER IN
COMPOSITE
SAMPLE
SIZE OF
INDIVIDUALS
IN COMPOSITE
SAMPLES
(INCHES)
MIREX
RESIDUE
(PPM —
WHOLE
BODY)
     SAMPLING SITE D—TOOGOODOO CREEK—Continued
Grass shrimp
                   24wks
                   26wks
                   28wks
                   30wks
                   32wks
             100
              12
              12
               1
               6
.75-1.25
 2.5-4
  3-4
  4.5
3.5-5.5
      STATION 1—RIVERLAND TERRACE POND (EAST)
Grass shrimp

First application
(Dec. 3, 1969)
Grass shrimp
Grass shrimp
Background   178
                    48hrs
                     5 mos
             144
              77
Background   100
Second application
(July 24, 1970)
White shrimp       72hrs
Grass shrimp        3 mos
Brown-spotted shrimp 3 mos
Grass shrimp
                     4 mos.
               5
             146
               5

             176
                                           .75-1
  .75-1
   1
                                         .75-1.25
  2-3
 1-1.25
 2.25-3

.75-1.25
Third application
(Dec. 1, 1970)
Grass shrimp
48 hrs
2wks
6wks
3 mos
159
167
193
126
STATION 2— STONO RIVER, LOG
White shrimp
Brown shrimp
First application
(Oct. 23, 1969)
White shrimp
Background
Background
24 hrs
13
9
4
.75-1.25
.75-1.25
.75-1.25
.75-1.25
BRIDGE CREEK
Medium
Small
3-4
—

_

 Second application
 (June 18, 1970)
 Brown-spotted shrimp 24 hrs
 White shrimp         3 mos
              12
              12
 4.5-5.5
 3.5-4.5
             STATION 3—UPPER ASHLEY RIVER,
                 RUNNYMEADE PLANTATION
 River shrimp       Background     9       1.5-2.5          —

 First application
 (Oct. 22, 1969)

 Second application
 .(June 11. 1970)
 Brown-spotted shrimp 24 hrs          3         3-4          .11
 White shrimp         3 mos         2         4.5           —
. SIZE OP MntEx
iJy NUMBER IN INDIVIDUALS RESIDUE
SPECIES 4 MIREX CoMPOSITE ,N rnxi.osiTE (PPM—
APPLICATION SAMPLE SAMPLES V(moiE
TO SAMPLING ([NCHES) BQDY)
STATION 4 — COOPER RIVER, U.S. NAVAL
AMMUNITION DEPOT
First application
(Oct. 17, 1969)
River shrimp 24 hrs 1 3 1
White shrimp 24 hrs 5 2.5-3
Second application
(June 10, 1970)
White shrimp 3 mos 10 3-4.5
STATION 5— LOWER ASHLEY RIVER,
OLD TOWN CREEK
White shrimp Background 6 4
First application
(Oct. 22, 1969)
White shrimp 24 hrs 4 3-4
Second application
(June 10, 1970)
Brown-spotted shrimp 24-hrs 3 2.5-3
White shrimp 3 mos 7 3-6




.3
.26


—


—


—


—
—
STATION 6— WANDO RIVER, BERESFORD CREEK
White shrimp Background 4 4.5-5.5
First application
(Oct. 17, 1969)
White shrimp 24 hrs 3 4-6
Second application
(June 8, 1970)
Brown-spotted shrimp 24 hrs 12 3.5-4.5
White shrimp 3 mos 12 3.5-4
8 mos 12 3.5-5
—


—


.015
—
—
STATION 7— SOUTH SANTEE RIVER, ALLIGATOR CREEK
White shrimp Background 8 2.5-4
First application
(Sept. 18, 1969)
White shrimp 24 hrs 9 2-2.5
Second application
(May 20, 1970)
Brown-spotted shrimp 3 mos 12 3.5-4
White 'shrimp 8 mos 12 4.5-5
—


—


—
—
 16
                                                                         PESTICIDES MONITORING  JOURNAL

-------
          TABLE 6.—Mirex  residues in crabs by  sampling site and sampling time, South  Carolina.  1069-77
                                                  [— = not detected]
SIZE OF MIREX
NT^r'AL NUMBER IN INDIVIDUALS RESIDUE
SPECIES ARp°PMrA™N CoMPOSITE IN COMPOSITE (PPM-
APPUCATION SAMPLE SAMPLES WHOLE
TO SAMPLING (INCHES) BODy)
SAMPLING SITE A— TOOGOODOO CREEK
Blue crab
First application
(Oct. 14-15, 1969)
Blue crab








Second application
(June 3-4, 1970)
Blue crab









Third application
(Oct. 27-28, 1970)
Blue crab















Background


24hrs
4 wks
12 wks
14 wks
16 wks
22 wks
26 wks
28 wks
30 wks


24hrs
4 wks
6 wks
8 wks
10 wks
12 wks
14 wks
16 wks
18 wks
20 wks


24hrs
2 wks
4 wks
6 wks
8 wks
10 wks
14 wks
16 wks
18 wks
20 wks
22 wks
24 wks
26 wks
28 wks
30 wks
32 wks
1


2
5
2
1
1
3
4
2
4


3
5
3
5
8
12
12
6
1
s


3
3
3
11
12
7
12
10
6
8
8
5
5
1
2
5
5


3
1-2.5
4.5-5
4.5
2.5
1-3
3-4
3-4
3-6


'2-3
2.5-5
3-6
2-5
5-6
1.5-2.5
2-2.5
2.5-5.5
5.5
1-5


6
1-5
2-5
1-2
1-2.5
1-3
1-1.25
1-1.75
1.5-2
1.25-1.5
1-3
3.5-5
1.5-3
2.5
3.25-4.5
2-5.5
—


	
.12
.19
.12
.19
.040
.015
.026
.016


	
.19
—
.052
.053
—
—
—
.024
—


—
—
—
.013
—
—
—
.022
—
—
—
.016
—
—
—
—
SAMPLING SITE B— TOOGOODOO CREEK
Blue crab
First application
(Oct. 14-15, 1969)
Blue crab






Second application
(June 3-4, 1970)
Blue crab






Fiddler crab
Background


24hrs
4 wks
8 wks
14 wks
18 wks
26 wks
32 wks


4 wks
8 wks
10 wks
12 wks
14 wks
16 wks
18 wks
21 wks
1


1
1
1
1
2
2
3


6
3
4
12
6
1
1
28
6


6
6
3
3
4.5
3-4
4-6


2.5-5
2-6
4-5
1.25-2.25
3-5.5
5
5.5
33-.15
—


—
.24
.089
.20
—
	
.025


.035
—
.017
—
—
—
—
—
                                                                            INTERVAL

                                                                          TO SAMPLINO
            SIZE OF     MIREX
N'UMHIRIN   INDIVIDUALS   RESIDUE
COMPOSITE  IN COMPOSITE  (PPM—
 SAMPLE     SAMPLES    WHOLE
            (ISCnta)    BODY)
SAMPLING SITE B— TOOGOODOO CREEK— Continued
Third application
(Oct. 27-28, 1970)
Blue crab
Fiddler crab
Blue crab

Fiddler crab
Blue crab













24hrs
24hrs
4 wks
6 wks
6 wks
8 wks
10 wks
12 wks
14 wks
16 wks
18 wks
20 wks
22 wks
24 wks
26 wks
28 wks
32 wks


6
30
2
11
29
5
4
3
8
9
7
9
4
12
4
5
1


1-2.5
.33-.7S
3-5
1-2.5
.33-. 75
1-2
1.5-5
.75-3
.75-2
2-5
1 .25-2
1-2
2-4
1.5-2.5
1-4.5
3-6
3.5


.049
—
.012
.12
—
.041
.027
.038
—
.020
—
—
—
—
—
—
—
SAMPLING SITE C— TOOGOODOO CREEK
Blue crab
First application
(Oct. 14-15, 1969)
Blue crab













Fiddler crab
Second application
(June 3-4, 1970)
Blue crab







Fiddler crab
Third application
(Oct. 27-28, 1970)
Blue crab
Fiddler crab
Blue crab


Fiddler crab
Blue crab








Background


24hrs
2 wks
4 wks
6 wkx
8 wks
12 wks
14 wks
18 wks
20 wks
22 wks
24 wks
26 wks
28 wks
30 wks
32 wks


24hrs
2 wks
6 wks
8 wks
12 wks
14 wks
16 wks
20 wks
21 wks


24hrs
24hrs
2 wks
4 wks
6 wks
6 wks
8 wks
14 wks
16 wks
20 wks
22 wks
24 wks
26 wks
28 wks
30 wks
!


1
1
9
4
1
2
1
2
2
8
2
1
2
1
25


1
3
6
4
4
1
2
2
26


3
27
1
3
4
31
4
3
7
8
2
7
8
8
I
5


6
6
1-2
2-3
6
5.5
2
4.5
4.5
1-2
1-2
3
4-5
4
.5-1


4.5
6-6.5
3-4.5
4-5
2-4
5
4.5
6
.5-.7S


3-5
.S-.75
6
4-5
4.5
.5-1
1.5-2.5
1-1.75
1-2.5
1-2
1.5-2.5
1.5-3
1-2.5
1.25-3.25
2
—


	
—
—
.015
.032
.090
.050
.056
.025
.038
—
—
—
—
—


.013
—
.027
—
—
—
—
—
—


	
	
	
.010
—
	
	
	
	
	
	
	
	
	
—
VOL.  7, No. 1, JUNE 1973
                                                                                                                  17

-------
    TABLE 6.—Mirex residues
               in  crabs  by  sampling  site and sampling  lime,  South  Carolina,  1969-71—Continued
                                   [— = not detected]
SPECIES
SIZE OF MIREX
v7AL NUMBER IN INDIVIDUALS RESIDUE
FROM MIREX COMPOSITE IN COMPOSITE (PPM —
APPLICATION SAMPLE SAMPLES WHOLE
TO SAMPLING (INCHES) BODY)
SAMPLING SITE D— TOOGOODOO CREEK
Blue crab
First application
(Oct. 14-15, 1969)
Blue crab














Second application
(June 3-4, 1970)
Blue crab







Third application
(Oct. 27-28, 1970)
Blue crab








Mud crab
Blue crab



STATION
Blue crab
First application
(Dec. 3, 1969)
Blue crab
Background


24hrs
2 wks
4 wks
6 wks
8 wks
12 wks
14 wks
18 wks
20 wks
22 wks
24 wks
26 wks
28 wks
30 wks
32 wks


24hrs
4 wks
6 wks
10 wks
12 wks
14 wks
18 wks
20 wks


24 hrs.
2 wks
6 wks
8 wks
10 wks
12 wks
14 wks
1 6 wks
20 wks
24 wks
26 wks
28 wks
30 wks
32 wks
1


6
3
12
3
12
2
2
3
3
2
6
1
2
1
T


5
4
6
1
12
2
2
3


8
4
5
12
4
5
3
12
10
12
2
12
2
1
1— RIVERLAND TERRACE
Background


5 mos
3


8
7


1-1.5
1-2
1-1.25
1.5-3
1-1.75
5.5
5.5
1.5-5
3
3
2-3
4
4-5
5
3-6


3-6
3-4
4-6
4.5
1-2.5
4-5
5-6
2-5


1.5-2.5
2-5
1.5-4.5
1-2
1.5-4.5
1-5
1-2
1-2
1.5-2.5
.5-1.25
2.5-3.5
1 .75-3.5
2-3
2.5
POND
1-2.5


.5-1.25
—


	
—
—
.065
.030
.051
—
—
—
_
—
—
—
—
—


—
.098
—
.015
—
—
—
—


—
—
—
—
—
—
—
—
—
—
\ —
—
—
—
(EAST)
—


—
Second application
(July 24, 1970)
Blue crab          72 hrs
                   3 mos
Third application
(Dec. 1, 1970)
Blue crab
Fiddler crab
Blue crab
48 hrs
48 hrs
 2 wks
 3 mos
             15
             13
12
 4
 3
12
          .5-2
         .75-1.5
 .5-2
.5-.7S
 1-3
1.5-4.5
                                   .024
.026
       STATION 2—STONO RIVER, LOG BRIDGE CREEK
Dlue crab

First application
(Oct. 23, 1969)
                   Background
                                          1.5-3
SPECIES
INTERVAL
FROM MIREX
APPLICATION
TO SAMPLING
NUMBER IN
COMPOSITE
SAMPLE
SIZE OF
INDIVIDUALS
IN COMPOSITE
SAMPLES
(INCHES)
MIREX
RESIDUE
(PPM 	
WHOLE
BODY)
                                                                           STATION 2—STONO RIVER—Continued
Second application
(June 18, 1970)
Blue crab



24 hrs
3 mos
8 mos

8
2
12

2.5-6
5-5.5
1.25-4

.010
.031
—
                                                                            STATION 3—UPPER ASHLEY RIVER,
                                                                               RUNNYMEADE PLANTATION
Blue crab
First application
(Oct. 22, 1969)
Blue crab
Second application
(June 11, 1970)
Blue crab
Background 2

24 hrs 3

24 hrs 3
1.5

2-3

5
—

.60

.27
                                                                          STATION 4—COOPER RIVER, U.S. NAVAL
                                                                                   AMMUNITION DEPOT
Blue crab
First application
(Oct. 17, 1969)
Second application
(June 10, 1970)
Blue crab
Mud crab
Background 1


24 hrs 4
3 mos 1
8 mos 3 1
4


6-8
4.5
.2S-.5
—


.042
                                                                   STATION 5—LOWER ASHLEY RIVER, OLD TOWN CREEK
Blue crab
First application
(Oct. 22, 1969)
Blue crab
Second application
(June 10, 1970)
Blue crab
Background 1

24 hrs 9
3 mos 2

24 hrs 5
3 mos 4
8 mos 8
5.5

1
1-2.5

1.5-2.5
3-5
1-4
—

—

—
                                                                      STATION 6—WANDO RIVER, BERESFORD CREEK
Blue crab
First application
(Oct. 17, 1969)
Blue crab
Second application
(June 8, 1970)
Blue crab
Background

3 mos

24 hrs
3 mos
8 mos
2

2

I
8
12
1.5-3

5

2-5
5-6
1.25-3.25
—

—

.025
                                                                   STATION 7—SOUTH SANTEE RIVER, ALLIGATOR CREEK
                                              Blue crab
                                                                Background
                                                                                       5.5
First application
(Sept. 18, 1969)
Blue crab

Second application
(May 20, 1970)
Blue crab




24 hrs
3 mos


24 hrs
3 mos
8 mos


1
2


2
4
12


4.5
1.5-3


2-3
4-5
1-4
                                                                                                   .012
18
                                                                                       PESTICIDES  MONITORING JOURNAL

-------
         TABLE 7.—Mirex residues in fishes by sampling site and sampling time,  South  Carolina, 1969-71
                                               [•— = not detected]

INTERVAL NuMBER ,N
SPECIES FROM MIREX CoMPOSITE
APPLICATION SAMPLE
TO SAMPLING
SIZE OP
INDIVIDUALS
IN COMPOSITE
SAMPLES
(INCHES)
MIREX
RESIDUE
(PPM —
WHOLE
BODY)
SAMPLING SITE A— TOOGOODOO CREEK
Blackcheek tonguefish Background 2
Southern kingnsh Background 1
First application
(Oct. 14-15, 1969)
Silver perch 24 hrs 2
2 wks 2
4 wks 2
8 wks 11
Atlantic menhaden 16 wks 10
18 wks 10
Spot 30 wks 13
Second application
(June 3-4, 1970)
Spot 24 hrs 12
2 wks 7
4 wks 12
6 wks 5
8 wks 5
12 wks 6
14 wks 12
16 wks 6
Third application
(Oct. 27-28, 1970)
Weakfish 24 hrs 3
Silver perch 2 wks 3
Striped mullet 6 wks 1
10 wks 7
Silver perch 20 wks 2
Atlantic menhaden 20 wks 2
Bay anchovy 22 wks 12
Silver perch 26 wks 4
Spot 28 wks 12
30 wks 12
32 wks 12
3
7


3.5
3.5
4.5
3.5-4.5
3.5-4.5
4-5
3-4


3-4
3.5-5
4.5-5.5
3.5-4
3-4
2-3
4-5
3-5


4.5-7
4.5-5.5
7
7-9
4.5
4.25
2-3
5.5-7
1.5-3
2.25-3.25
2-3
—
—


—
—
.073
.028
—
—
.015


—
—
—
—
—
.060
.043
—


—
.017
—
—
—
—
—
—
—
—
—
SAMPLING SITE B— TOOGOODOO CREEK
Silver perch Background 1
First application
(Oct. 14-15, 1969)
Silver perch 24 hrs 2
2 wks 1
8 wks 1
Spotted seatroul 8 wks 1
Atlantic menhaden 14 wks 12
16 wks 10
18 wks 4
Spot 28 wks 3
Blueflsh 30 wks 1
Spot 32 wks 2
Second application
(June 3-4, 1970)
Spot 24 hrs 12
2 wks 6
4 wks 12
6 wks 12
8 wks 1
Striped mullet 8 wks 2
Silver perch 10 wks 6
Spot 12 wks 12
Silver perch 14 wks 7
Spot 16 wks 4
Silver perch 18 wks 4
20 wks 1
Third application
(Oct. 27-28, 1970)
Silver perch 24 hrs 8
Spot 2 wks 1
3.5


3.5
4.5
4
7
2-4
3.5-4.5
4-5
2-2.5
7
3-4


3.5-4.5
3.5-5.5
3-4.5
3-4
3.5
4-5
4.5-6
3.5-4
4-5
3-4.5
6-6.5
5


4-5
6
—


—
—
—
.039
—
—
—
—
—
—


—
—
—
—
—
—
.027
.016
—
—
—
—


.034
—
SIZE OF MIREX
INTERVAL NuMBER IN JNDIVIDUALS RESIDUE
SPECIES APPLICATION COMPOSE IN COMPOSITE (PPM-
APPLICATION SAMPLE SAMPLES WHOLE
TO SAMPLING (INCHES) BODY)
SAMPLING SITE B— TOOGOODOO CREEK— Continued
Striped mullet 6 wks
Spot 20 wks
Fourspot flounder 22 wks
24 wks
Spot 28 wks
30 wks
32 wks
3
4
3
2
12
5
11
5.5-6.5
6.5-7.5
2.5
3-4
1.5-2.75
3-4.5
2.5-4.25
.018
—
—
—
—
—
—
SAMPLING SITE C— TOOGOODOO CREEK
Blackcheek tonguefish Background
First application
(Oct. 14-15, 1969)
Hogchoker 24 hrs
Silver perch 2 wks
Blackcheek tonguefish 4 wks
Silver perch 6 wks
Atlantic menhaden 14 wks
20 wks
Mixed fish 22 wks
24 wks
Searobin 26 wks
Spotted hake 26 wks
Spot 30 wks
32 wks
Second application
(June 3-4, 1970)
Spot 24 hrs
2 wks
4 wks
6 wks
Weakfish 8 wks
Spot 10 wks
Silver perch 12 wks
14 wks
16 wks
Spot 18 wks
Third application
(Oct. 27-28, '1970)
Silver perch ' 24 hrs
2 wks
Bay anchovy 26 wks
Spot 28 wks
30 wks
32 wks
3


1
2
7
5
12
4
2
3
1
1
3
6


10
2
2
12
3
5
12
12
3
3


1
2
12
12
5
12
4


4
4
4-5
3-4
3.5-4.5
4
2-4
2.5-4
7
4
2-3
4-6


3.5-4.5
4-6
4.5
3-4
4-5
3.5-4.5
2.5-3.5
3-4
4
5-6.5


4.5
4
2-3
2.25-3.5
3-4.5
2.5-4.5
—


—
—
—
.017
—
—
—
—
—
—
—
—


—
— .
—
—
—
—
—
—
—
—


	
.028
—
—
—
—
SAMPLING SITE D— TOOGOODOO CREEK
Blackcheek tonguefish Background
First application
(Oct. 14-15, 1972)
Blackcheek tonguefish 24 hrs
2 wks
4 wks
Silver perch 6 wks
8 wks
Atlantic menhaden 12 wks
14 wks
16 wks
18 wks
Mixed fish 20 wks
Silver perch 24 wks
Spotted hake 24 wks
Weakfish 26 wks
Spotted hake 26 wks
Mixed fish 26 wks
Spotted hake 28 wks
Bluefish 30 wks
Spot 32 wks
2


2
2
3
10
12
2
10
10
3
2
1
2
1
1
3
3
2
7
3


3.5
4
3-4.
3.5-4
3-4
4
3-5
3.5-4.5
3.5-4
3-4.5
7
4
10.5
8.5
2-4
6
3-6
3-6
—


	
—
—
	 .
—
	
	
—
	
	
	
	
	
	
_
	
	
—
VOL. 7, No. 1, JUNE 1973
                                                                                                            19

-------
   TABLE  7.—Mirex  residues  in  fishes by  sampling  site  and sampling  time, South Carolina, 1969-71—Continued
                                               [— = not detected]
INTERVAL NUMBER IN
SPECIES FROMMIREX COMPOSITE
APPLICATION SAMPLE
TO SAMPLING
SAMPLING SITE D— TOOGOODOO
Second application
(June 3-4, 1970)
Spot 24 hrs
2wks
4wks
lOwks
Silver perch 12 wks
14wks
16 wks
Blackcheek tonguefish 18 wks
Third application
(Oct. 27-28, 1970)
Silver perch 2 wks
Winter flounder 8 wks
Spotted hake 18 wks
Spot 20 wks
Spotted hake 24 wks
Silver perch 26 wks
Spot 28 wks
30 wks
32 wks


12
8
2
2
8
7
2
4


10
1
i
1
7
2
12
2
12
SIZE op MIREX
INDIVIDUALS RESIDUE
IN COMPOSITE (PPM —
SAMPLES WHOLE
(INCHES) BODY)
CREEK — Continued


4.5-5.5
3-5
4
3.5-5.5
2.5-3.5
4
3.5-5
4-5


4-4.5
10.5
3-4.5
4.5
3.5-6
3-5
2-3
3-3.5
3-4.5


—
—
—
—
.046
—
—
—


—
—
—
—
—
—
—
—
—
STATION 1— RIVERLAND TERRACE POND (EAST)
Mummichog Background
White mullet Background
Atlantic silverside Background
First application
(Dec. 3, 1969)
Atlantic silverside 48 hrs
Mummichog 12 days
Atlantic silverside 12 days
White mullet 5 mos
Second application
(July 24, 1970)
Silver perch 72 hrs
SaiLfin molly 3 mos
Atlantic silverside 4 mos.
Third application
(Dec. 1, 1970)
Sailfin molly 48 hrs
White mullet 2 wks
Mummichog 2 wks
Atlantic silverside 2 wks
6 wks
White mullet 6 wks
3 mos
13
2
30


55
13
49
23


12
17
27


18
25
20
11
25
12
42
STATION 2— STONO RIVER, LOG
Blackcheek tonguefish Background
Black drum Background
Spotted seatrout Background
First application
(Oct. 23, 1969)
Silver perch 24 his
Second application
(June 18, 1970)
Spot 24 hrs
Silver perch 3 mos
Spot 8 mos
4
1
1


2


12
12
21
1-2
4-5
1.5-2.5


1.5-2
1-2.5
1.5-2
1.25-1.5


2-2.5
.5-1
2-3


1-1.5
.75-1
1.25-2.25
1.75-2
1.5-2.5
2.5-3.75
1
BRIDGE CREEK
3
5
7


3-4


2.5-3.5
4-5
1.5-2.5
—
—
—


—
—
—
—


—
—
—


—
— .
—
—
—
—
—

—
—
—


—


—
.054

INTERVAL NUMBER IN INDIVIDUALS
SPECIES APPLICATION CoMPOSITE IN COMPOSITE
APPLICATION SAMPLE SAMPLES
TO SAMPLING (INCHEs)
MIREX
RESIDUE
(PPM —
WHOLE
BODY)
STATION 3— UPPER ASHLEY RIVER,
RUNNYMEADE PLANTATION
Atlantic croaker
Hog choker
First application
(Oct. 22, 1969)
Hog choker

White catfish

Striped mullet
Second application
(June 11, 1970)
Spot
Silver perch
Hog choker
White catfish
Background
Background


24 hrs
2 mos
2mos
3 mos
3 mos


24 hrs
3 mos
3 mos
8 mos
1
3


4
8
6
1
I


8
3
8
7
STATION 4— COOPER RIVER, U.
AMMUNITION DEPOT
Spot
First application
(Oct. 17, 1969)
Silver perch
Mixed fish
White catfish
Second application
(June 10, 1970)
Spot
Hogchoker
Silver perch
White catfish
Spot
Bay anchovy
Background


24 hrs
2 mos
3 mos


24 'hrs
24 hrs
3 mos
8 mos
8 mos
8 mos
STATION 5— LOWER ASHLEY
Spot
Winter flounder
First application
(Oct. 22, 1969)
Background
Background


Blackcheek tonguefish 24 hrs
Atlantic menhaden
Second application
(June 10, 1970)
Spot
Silver perch
Atlantic menhaden
Striped mullet
Star drum
3 mos


24 hrs
3 mos
8 mos
8 mos
8 mos
3


2
2
1


9
6
5
1
2
14
5
3


1-2.5
2-3
2-3
12.5
8


3-5
4
2-2.5
3.5-7
S. NAVAL
2


3.5
4-6
13


2-3.5
1.5-2
5-5.5
5.5
4.5-5.5
1.5-2.25
RIVER, OLD TOWN
3
1


3
12


8
9
5
2
43
3.5
8


3
2-4


2-3
4-4.5
4.5
5.5
1-1.75
	
—


—
.053
.35
.086
—


.82
.20
.096
.19

—


.21
—
.036


.12
—
.14
,045
—
—
CREEK
	
—


—
—


—
—
—
—
—
20
                                                                             PESTICIDES  MONITORING  JOURNAL

-------
    TABLE 7.—Mirex residues  in  fishes by  sampling site  and sampling  time,  South Carolina,  1969-71—Continued
                                                   [— = not detected]
SIZE OF MIREX
INTERVAL NUMBER IN INDIVIDUALS RESIDUE
SPECIES FROM MIREX cOMPOSrrE IN COMPOSITE (PPM —
APPLICATION SAMPLE SAMPLES WHOLE
TO SAMPLING (INCHES) BODY)
STATION 6— WANDO RIVER, BERESFORD CREEK
Silver perch Background 2 4.5 —
First application
(Oct. 17, 1969)
Pinfish 24hrs 1 7 —
Second application
(June 8, 1970)
Spot 24 hrs 12 2.5-3.5 .016
3 mos 12 3.5-5 —
Silver perch 8 mos 22 1.5-2 —
TABLE 8. — Mirex residues in miscellaneous organisms by
[— = not
SIZE op
MAL NUMBER IN INDIVIDUALS MIREX
SPECIES FROM MIREX COMPOSITE IN COMPOSITE RESIDUE
APPLICATION SAMPLE SAMPLES (PPM) i
TO SAMPLING (,NCHES)
SAMPLING SITE A— TOOGOODOO CREEK
Second application
(June 3-4, 1970)
American oyster 12wks 12 2-4 —
SAMPLING SITE B— TOOGOODOO CREEK
First application
(Oct. 14-15, 1969)
Brief squid 32 wks 10 4-6 —
Second application
(June 3-4, 1970)
American oyster 12 wks 12 2-4 —
Third application
(Oct. 27-28, 1970)
American oyster 6 wks 28 2-4 —
10 wks 18 2-4 —
12 wks 10 2-4 —
SAMPLING SITE C— TOOGOODOO CREEK
First application
(Oct. 14-15, 1969)
American oyster 32 wks 25 2-4 —
Southern periwinkle 32 wks 40 ,5-,75 —
Phytoplankton
(dry weight) 32 wks —
Second application
(June 3-4, 1970)
American oyster 12 wks 12 2-4 —
Third application
(Oct. 27-28, 1970)
American oyster 6 wks 22 2-4 —
10 wks 13 2-4 —
12 wks 12 2-4 —
Nudibranch 16 wks 18 .5-1 	
SIZE OF MIREX
INTERVAL NuMBER IN INDIVIDUALS RESIDUE
SPECIES FROM MIREX COMPOSITE IN COMPOSITE (PPM-
APPLICATION s SAMPLES WHOLE
TO SAMPLING 3AMPLE (INCHEs) BODY)
STATION 7— SOUTH SANTEE RIVER, ALLIGATOR CREEK
Atlantic croaker Background 24 —
Hog choker Background 4 2-2.5 —
Spot Background 3 2-3 —
First application
(Sept. 18, 1969)
Spot 24hrs 3 2-3 -
Sheepshead 3 mos 1 8.5 —
Second application
(May 20, 1970)
Spot 24hrs 26 —
Silver perch 24 hrs 1 5 —
3 mos 6 3.5-6.5 —
Spot 8 mos 12 3.75-4.5 .011
sampling site and sampling lime, South Carolina, 1969-71
detected)
SIZE OF
iw'AL NUMBER IN INDIVIDUALS MIREX
SPFCIM FROM MIREX COMPOSITE IN COMPOSITE RESIDUE
APPLICATION SAMPLE SAMPLES (PPM)'
TO SAMPUNG (INCHES)
SAMPLING SITE D— TOOGOODOO CREEK
Second application
(June 3-4, 1970)

STATION 1— RIVERLAND TERRACE POND (EAST)
First application
(Dec. 3, 1969)
Egg masses from 186
gravid grass
shrimp 5 mos —
Third application
(Dec. 1, 1970)
Dead white mullet 2 wks 1 5 —
STATION 5— LOWER ASHLEY RIVER, OLD TOWN CREEK
Second application
(June 10, 1970)
Dead striped mullet 24 hrs 1 11.5 —
STATION 7— SOUTH SANTEE RIVER, ALLIGATOR CREEK
First application
(Oct. 18, 1969)
Pied-billed grebe
(breast muscle)
(drowned in net) 3 mos 	
1 Residues are whole-body basis unless otherwise indicated.

VOL.  7, No.  1, JUNE  1973
                                                                                                                    21

-------
         TABLE 9.—Mirex  residues  in birds by sampling site and sampling lime.  South  Carolina.  1969-7]
                                               [— = not detected]
QUARTERLY
COLLECTION
MIREX
SPECIES RESIDUE
(PPM) I
SAMPLING SITES A-B-C— TOOGOODOO CREEK
December 1969









March 1970





May 1970




September 1970










December 1970





February 1971










May 1971





SAMPLING
December 1969

March 1970

Green Heron
Kingfisher
Clapper Rail
do.
do.
do.
do.
do.
do.
Oil glands from 5 Clapper Rails
Clapper Rail
do.
do.
do.
do.
do!
Oil glands from 6 Clapper Rails
Green Heron
do.
do.
j_
QO.
Yellow Crowned Night Heron
Little Blue Heron
Clapper Rail
Clapper Rail
do.
do.
do.
do.
do.
do.
do.
do.
do.
do.
do.
do.
Clapper Rail
do.
10 Rails (Muscle)
10 Rails (Fat)
Willet
Kingfisher

Clapper Rail
do.
do.
d-
o.
do.
do.
do.
do.
do.
do.
do.
Oil glands from 6 Clapper Rails
Louisiana Heron
Clapper Rail
Louisiana Heron
do.
Little Blue Heron
do.
American Egret
do.

SITE D— TOOGOODOO CREEK
.99
1.30
.29
1.40
.05
.10
.15
1.90
.29
.52
_
.06
.05
.08
.10
.06
.29
.09
.17
m
.u /
.11
—
.u
—
.17

.02
—
.02
.05
.63
.02
.19
.04
—
.15
.07
1.20
—
.15

.04
.13
.10
03
.19
.04
.07
.05
.75
—
.58
.11
.01
.94
.14
.01
.22
5.40
.05


Attempts to collect birds unsuccessful

Clapper Rail
do.

—
.11
QUARTERLY
COLLECTION
SAMPLING
May 1970



September 1970





December 1970


February 1971

May 1971


STATION

September 1969


December 1969

March 1970



May 1970

September 1970

December 1970


February 1971

May 1971


MIREX
SPECIES RESIDUE
(PPM) 1
SITE D— TOOGOODOO CREEK— Continued
Plover
Clapper Rail
do.

Kingfisher
do. 1
do.
Clapper Rail
do.
do.
Clapper Rail
do.
do.
Clapper Rail
Kingfisher
Snowy Egret
Green Heron
Louisiana Heron
do.
2— STONO RIVER, LOG BRIDGE CREEK

American Egret
Little Blue Heron
Clapper Rail

Clapper Rail
do.
Clapper Rail
do.
do.
Sora Rail
Clapper Rail
do.
Clapper Rail
do.
do.
Clapper Rail
do.

Clapper Rail
do.
Clapper Rail
Little Blue Heron

	
—
.61

—
.50
.04
—
—
—
.06
.03
.03
.06
—
.17
.04
.03


.12
.19

.55
.90
—
.18
.11
—
.08
.05
.10
.21
.16
.11
.06

.09
.13
.09
.70

STATION 3— UPPER ASHLEY RIVER,

September 1969



December 1969

March 1970

May 1970


September 1970

December 1970



RUNNYMEADE PLANTATION
Green Heron
do.
do.

Snowy Egret
American Bittern
Snipe
do.
Anhinga (Juvenile)
Anhinga
Kingfisher
(internal organs)
Pied-Billed Grebe
Anhinga
Snipe
do.
do.
do.

.25
.15
.13

.69
1.80
.11
1.10
_
1.70
17.00
8.30
•jo
.f.O
.35
.05
.34

."'PJ
22
PESTICIDES  MONITORING JOURNAL

-------
   TABLE 9.-—Mirex residues in  birds  by sampling site  and  sampling time, South  Carolina,  1969-71—Continued
                                                   [— — not detected]
QUARTERLY
COLLECTION
STATION
February 1971


May 1971

SPECIES
MIREX
RESIDUE
(PPM) l
3_ UPPER ASHLEY RIVER— Continued
Snowy Egret
Marsh Hawk

Least Bittern
Louisiana Heron
.60
1.50

2.20
1 m
1 . 1U
COLLECTION
QUARTERLY
SPECIES
MIREX
RESIDUE
MIREX
STATION 5— LOWER ASHLEY RIVER— Continued
May 1971



STATION
Clapper Rail
do.
do.
Eggs
6— WANDO RIVER, BERESFORD
STATION 4— COOLER KlVhR. U.S. NAVAL


September 1969
December 1969

March 1970


May 1970

September 1970


December 1970


February 1971



May 1971


C-T-ATT/-1 >J ^ T
MA11UN 5 L
September 1969


December 1969


March 1970




May 1970


September 1970

December 1970

February 1971

AMMUNITION DEPOT

Louisiana Heron
do.
Attempts to collect

Snipe
do.

Grebe

Louisiana Heron
Green Heron

Clapper Rail
do.

Clapper Rail
American Bittern
Grebe

Least Bittern
Clapper Rail

/-jvirpD A QtTT PV T?T\/T^T) O'
UWx^lv Aorim 1 KlVCtv, >*Ji
Louisiana Heron
American Egret

Clapper Rail
do.

Clapper Rail
do.
Sora Rail
Virginia Rail

Clapper Rail
do.
Eggs
Clapper Rail
do.
Clapper Rail
do.
Clapper Rail
Sora Rail


—
birds unsuccessful

.14
.89

—

.38
1.00

.60
.94

.19
.04
1.10

2.80
.18

r T"l TOWM PRFFTf
September 1969

December 1969
March 1970


May 1970


September 1970





December 1970


February 1971


May 1971


Snowy Egret
American Egret
Attempts to collect birds
Clapper Rail
Snipe

Clapper Rail
White Ibis

Kingfisher
do.
Sora Rail
Clapper Rail
do.

Clapper Rail
do.

Clapper Rail
do.

Green Heron
Little Blue Heron

.10
—
.04
.05
CREEK

.89
	
unsuccessful
.05
—

.47
.29

—
—
—
.04
—

.82
.25

.71
.07

.14
.17

STATTnMT SnilTtr SAMTCT3 DT\7T31> A T T T« ATnB <~TJCP V

	

.11
.35

.09
.07
.09
.06

—
—
.08
	
.04
.07
.06
.09
.01
'

September 1969


December 1969


March 1970

May 1970


September 1970

December 1970

February 1971

May 1971


Snowy Egret
Little Blue Heron

Clapper Rail
do.

Grebe

Snowy Egret
do.

Kingfisher
do.
Snowy Egret
American Egret
Snowy Egret
Louisiana Heron
Clapper Rail
Snowy Egret

—
—

—
—

—

. 	
.20

	
.06
.51
.45
.13
.17
.10
.11
1 Residues are breast and upper wing muscle unless otherwise indicated.
VOL. 7, No. 1, JUNE 1973
                                                                                                                     23

-------
  TABLE 10.—Average mirex residues in muscle tissue of
             herons and egrets at each station,
                  South Carolina, 1969-71
TABLE 11.—Average mirex residues in muscle tissue of
  clapper rails at each station, South Carolina, 1969-71
STATION
A-B-C
D
2
3
4
5
6
7
Overall
average
Total
birds
AVERAGE RESIDUES
Sept.
1969


.06
(2)
.18
(3)
.00
(2)
.00
(2)
.45
(2)
.00
(2)
.12
(13)
Dec. Mar.
1969 1970
.99
(D


.69
(1)




.84
(2)
IN PPM AND NUMBER OF BIRDS
May Sept. Dec. Feb.
1970 1970 1970 1971
.07 .11
(6) (1)


.60
(D
.69
(2)


.10 .48 .15
(2) (2) (2)
.08 .69 .48 .25
(8) (2) (2) (4)
( )
May
1971
1.13
(6)
.06
(4)
.70
(D
1.10
(1)


.16
(2)
.11
(1)
.61
(15)
AVERAGE RESIDUES IN PPM
STATION ^ t
1969
A-B-C
D
2 .19
(D
3
4
5
6
7 .00
(2)
Dec.
1969
.60
(7)

.73
(2)


.23
(2)


Mar.
1970
.07
(6)
.06
(2)
.10
(3)


.08
(2)
.05
(D

May
1970
.11
(D
.31
(2)
.07
(2)


.00
(2)
.47
(D

AND NUMBER op BIRDS ( )
Sept.
1970
.09
(13)
.00
(3)
.16
(3)


.02
(2)
.02
(2)

Dec.
1970
.07
(12)
.04
(3)
.08
(2)

.77
(2)
.06
(2)
.54
(2)

Feb.
1971
.14
(11)
.06
(1)
.11
(2)

.19
(1)
.09
(1)
.39
(2)

May
1971
.01
(D

.09
(D

.18
(1)
.05
(3)

.10
(D
                                                                 Overall
                                                                  average   .19    .47     .07    ,16    .07     .23    .15     .07

                                                                 Total
                                                                  birds     (1)   (13)    (14)    (8)    (23)    (23)   (18)     (7)
           TABLE  12.—Mirex  residues in mammals by sampling site and sampling lime, South Carolina, 1969-71
                                                      [— — not detected]
QUARTERLY
COLLECTION
MIREX
SPECIES RESIDUE
(PPM) i
SAMPLING SITE A— TOOGOODOO CREEK
December 1969
March 1970
May 1970
September 1970
December 1970
February 1971
May 1971
SAMPLING
December 1969
March 1970
May 1970
Raccoon
Fat
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
SITE B— TOOGOODOO CREEK
Raccoon
Fat
Raccoon
Fat
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
.14
.97
.05
1.30
.20
.02
.26
.02
.16
.88

.16
.07
.43
.03
.66
.12
                                                                   QUARTERLY
                                                                  COLLECTION
                       SPECIES
 MIREX
RESIDUE
(PPM)'
                                                                     SAMPLING SITE B—TOOGOODOO CREEK—Continued
                                                                September 1970


                                                                December 1970


                                                                February 1971


                                                                May 1971
                       Raccoon
                       Raccoon
                       Raccoon
                       Raccoon
                       Raccoon
                       Raccoon
                                                                                          Raccoon
                                                                                          Raccoon
                                                                                                                    .21
   .04
   .12
                                                 .16
                                                 .04
                                                                           SAMPLING SITE C—TOOGOODOO CREEK

                                                                 December 1960             Raccoon                    —
                                                                                          Raccoon                    —

                                                                 March 1970            Attempts to collect raccoons unsuccessful

                                                                 May 1970              Attempts to collect raccoons unsuccessful
September 1970
December 1970
February 1971
May 1971
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
.15
.24
.02
.08
.04
.09
.09
.02
24
                     PESTICIDES  MONITORING JOURNAL

-------
    TABLE 12.—Mirex residues in mammals by sampling site and sampling time, South Carolina, 1969-71—Continued
                                                    [— = not detected]
QUARTERLY
COLLECTION
SPECIES
MIREX
RESIDUE
(PPM) '
SAMPLING SITE D— TOOGOODOO CREEK
December 1969
March 1970
May 1970
September 1970
r- .. .nber 1970
February 1971
May 1971
Raccoon
Raccoon
Fat
Attempts to collect raccoons
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
STATION 2— STONO RIVER, LOG BRIDGE
December 1969
March 1970
May 1970
September 1970
December 1970
February 1971
May 1971
Raccoon
Fat
Raccoon
Fat
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
unsuccessful
.01
.04
.01
.04
CREEK
1.40
.07
.07
1.90
.20
.04
STATION 3— UPPER ASHLEY RIVER,
RUNNYMEADE PLANTATION
December 1969
March 1970
May 1970
September 1970
December 1970
February 1971
May 1971
Attempts to collect raccoons
Attempts to collect raccoons
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Opossum
unsuccessful
unsuccessful
.56
.12
.88
.10
.19
1.90
.09
3.30
STATION 4— COOPER RIVER, U.S. NAVAL
AMMUNITION DEPOT
December 1969
March 1970
May 1970
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
.80
.39
.60
4.40
.28
QUARTERLY
COLLECTION
SPECIES
MIREX
RESIDUE
(PPM) i
STATION 4— COOPER RIVER— Continued
September 1970
December 1970
February 1971
May 1971
Raccoon
Raccoon
Attempts to collect
Attempts to collect
Attempts to collect
STATION 5— LOWER ASHLEY RIVER,
December 1969
March 1970
May 1970
September 1970
December 1970
February 1971
May 1971
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
.90
1.30
raccoons unsuccessful
raccoons unsuccessful
raccoons unsuccessful
OLD TOWN CREEK
.06
.03
.02
.05
STATION 6— WANDO RIVER, BERESFORD CREEK
December 1969
March 1970
May 1970
September 1970
December 1970
February 1971
May 1971
STATION 7— SOUTH
September 1969
December 1969
March 1970
May 1970
September 1970
December 1970
February 1971
May 1971
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Opossum
Opossum
.04
.16
.02
.02
.04
.80
2.20
SANTEE RIVER, ALLIGATOR CREEK
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
Attempts to collect
Attempts to collect
Raccoon
Raccoon
Raccoon
Raccoon
Raccoon
raccoons unsuccessful
raccoons unsuccessful
.06
.03
1 Residues for thigh muscles unless otherwise indicated.

VOL. 7, No. 1, JUNE 1973
25

-------
TABLE  13.—Average mirex  residues in  muscle tissue of
     raccoons at cadi station,  South  Carolina, 1969-71
TABLE 14.—Summary  of  birds and mammals  containing
mirex residues in excess of 1.0 ppm, South Carolina, 1969-71
AVERAGE RESIDUES IN
STATION g_ _,
1969



B


C


D

2

3

4

5

6

7 .00
(D

Overall
average .00
Total
raccoons (1)
Dec.
1969


(1)
.00
(2)

.00
(2)

.00
(2)

.00
(2)


.60
(2)
.00
(2)
.02
(2)

.00
(2)


.08

(17)
Mar.
1970

f\c
.UJ
(D
.25
(2)






.00
(1)


2.50
(2)
.00
ti \
(2;
.00
(2)

.00
(2)


.46

(12)
PPM AND NUMBER OF RACCOONS ( )
May
1970

•je
, IJ
(2)
.20
(4)




.03
(2)

.74
(2)
.00
(D
.28
(D
.00
(2)
.08
(2)




.27

(16)
Sept.
1970


(2)
.11
(2)

.20
(2)

.01
(2)

.99
(2)
.52
(3)
1.10
(2)
.03
(2)
.00
(I)




.37

(18)
Dec.
1970

nt
.Ul
(2)
.00
(2)

.05
(2)

.00
(2)

.00
(2)
.05
(2)


.03
(2)
.02
(2)

.00
(2)


.02

(18)
Feb.
1971

no
.Uo
(2)
.08
(2)

.07
(2)

.02
(2)

.12
(2)
.19
(1)


.00
(2)
.02
(2)

.03
(2)


.06

(17)
May
1971


.44
(2)
.10
(2)

.06
(2)

.00
(2)

.00
(2)
1.00
(2)


.03
(2)
.20
(1)

.03
(D


.22

(15)
STATION


A-B-C
A-B-C
A-B-C
A-B-C

D
3
3
3
3
3
3
3
4
4
4
ANIMAL
SPECIES

B:
Kingfisher
Clapper Rail
Clapper Rail
American Egret

Kingfisher
American Bittern
Snipe
Anhinga
Kingfisher
Marsh Hawk
Least Bittern
Louisiana Heron
Louisiana Heron
Grebe
Least Bittern
MIREX
RESIDUES
IN PPM

IRDS
1.30
1.40
1.90
5.40

1.50
1.80
1.10
1.70
17.00
1.50
2.20
1.10
1.00
1.10
2.80
MONTH OF
SAMPLE COLLECTION


December 1969
December 1969
December 1969
May 1971

September 1970
December 1969
March 1970
May 1970
May 1970
February 1971
May 1971
May 1971
September 1970
February 1971
May 1971
MAMMALS
A
2
2
3
3
4
4
6
Raccoon
Raccoon
Raccoon
Raccoon
Opossum
Raccoon
Raccoon
Opossum
1.30
1.40
1.90
1.90
3.30
4.40
1.30
2.20
May 1970
May 1970
September 1970
May 1971
May 1971
March 1970
September 1970
May 1971
 26

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CONTRIBUTION NO. 157

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998               JOURNAL FISHERIES RESEARCH BOARD OF CANADA, VOL. 30, NO. 7, 1973


         Relation  Between  Simple Dynamic Pool and Surplus Production
                             Models for Yield from  a  Fishery1


                                             A. L.  JENSEN

                                     Environmental Protection Agency
           Gulf Breeze Environmental Research Laboratory? Sabine Island, Gulf Breeze, Fla. 32561, USA

           JENSEN, A. L.  1973.  Relation between simple dynamic pool and surplus production models
                  for yield from  a  fishery.  J. Fish. Res. Board Can. 30: 998-1002.

               Dynamic pool  models without self-regenerating properties are continuous age models,
           and surplus production  models are continuous time models. Self-regenerating dynamic pool
           models are continuous age-discrete generation models and, also, discrete time-discrete age mod-
           els.  In a steady state specification of the regulatory function and direct estimation of biomass
           results in the surplus production model. Estimation of biomass by specifying the functions with
           respect to age for size of a cohort and individual weight and application of the coefficient of
           fishing mortality result in the dynamic pool model. A third approach, not applied  in fisheries,
           is to specify the regulatory function and functions with respect to age of cohort size and in-
           dividual growth  in  weight. In a steady state all methods for calculating yield give the same
           results if the functions specified are realistic. Specification of the functions requires that many
           assumptions be  made. The dynamic pool model may be more accurate than the surplus
           production model because the regulatory function may be more difficult to determine than
           the  functions with respect to age of cohort size and growth in individual weight.

           JENSEN, A. L.  1973.  Relation between simple dynamic pool and surplus production models
                   for yield from  a  fishery.  J. Fish. Res.  Board Can. 30: 998-1002.

               Des modeles pools dynamiques depourvus  d'autor6g&i6ration sont des modeles  4 age
           continu, alors que les modeles surplus-production sont des modeles a temps continu. Les mo-
           deles pools dynamiques a autoreg6neration sont des modeles a age  continu-gen^ration dis-
           continue; ils sont egalement des modeles a temps discontinu-age  discontinu. Dans un 6tat
           d'equilibre, la specification de la fonction regulatrice et I'estimation directe de la biomasse
           aboutissent au modele surplus-production. Par ailleurs, I'estimation de la biomasse par speci-
           fication des fonctions  qui ont trait £ 1'age correspondent  a la taille  d'une cohorte  et au poids
           individuel d'une part,  et 1'application du coefficient de mortalite due a la peche d'autre part,
           aboutissent au modele pool dynamique. Une troisieme m6thode, non appliqu6e aux peches,
           consiste a specifier  la  fonction  regulatrice et les fonctions qui ont trait a 1'age correspondant
           4 la taille d'une cohorte et a la croissance ponderale individuelle.  Dans un 6tat  d'equilibre,
           toutes les methodes de calcul de rendement donnent les memes r&ultats, pourvu que les fonc-
           tions specifiers soient realistes. La specification des fonctions requiert 1'elaboration de plusieurs
           hypotheses. Le modele pool dynamique peut etre plus prfcis que le modele surplus-production,
           parce que la fonction regulatrice est parfois plus difficile a  etablir  que les fonctions qui ont
           trait a 1'age correspondant 4 la taille de la cohorte et 4 la croissance ponderale individuelle.

           Received January 9, 1973


  ./'THEMATICAL models applied  to fish populations   of models  have  been compared by  Schaefer and
 have  been grouped into  two  basic categories: dy-   Beverton (1963) and by Silliman (1971).
 namic pool models such as those of Baranov (1918),      These models differ in a  fundamental  way that
 Thompson  and  Bell  (1934),  Ricker  (1944), and   does not appear  to have been explicitly  discussed
 Beverton and Holt (1957); and  surplus production   in the literature.  In dynamic pool  models without
 models such as those of Hjort et al. (1933), Graham  self-regenerating properties the variables are  con-
 (1935), and Schaefer (1954,  1957). These two types  tinuous   functions   of age,  whereas  in  surplus
 	                                        production  models  the variables  are continuous
   'Contribution No.  157,  Gulf  Breeze Laboratory,   functions  of time.  In this  note the dynamic  pool
   2Associate Laboratory of the National Environmental   model without self-regeneration properties and the
 Research Center,  Corvallis, Oreg., USA.               surplus  production  model will be reviewed  with
                                                     attention drawn to  their time  and age properties,
 Printed  in Canada (J2790)                            and  then the  models will be compared.

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                                                  NOTES
                                                                                                       999
  Mathematical symbols used are:

  B(0 = population size in biomass at time /;
   BO, = environmental carrying capacity in terms of
          biomass;
    B = annual biomass accumulation;
/(B(/)) = regulatory  function that gives instantaneous
          rate of change in biomass;
    F = fishing mortality coefficient;
    FI = coefficient of effect of fishing on population
          density;
    F2 = coefficient  of effect  of fishing  on  average
          individual weight;
     g = coefficient of growth in weight per individual
          averaged over the entire population;
    K = coefficient of individual fish growth in weight
          or length;
     k = coefficient  of  population growth in  number
          of individuals and weight;
N(jc,0 = number of individuals of age  x at time t;
  N(x) = number of  individuals of a  cohort  alive at
          age x;
   N^ = environmental carrying capacity in terms of
          the number of individuals;
  N(/) = total number  of individuals in population at
          time t;
   P(0 = population  size  at  time  t  in  biomass  or
          numbers;
    R = recruitment;
     r = coefficient of growth in number of individuals;
     t = time measured in years;
     v = greatest age attainable by an individual fish;
W(x,t) — average weight  of an individual of age  x
          at time t;
  W(x) = average weight of an  individual  of age x;
   W,,, = maximum attainable weight of an individual
  	      fish;
  W(/) = average  weight  of  all individuals in  the
          population at time /;
     x = age measured in  years;
    XQ = theoretical age at which length  equals zero;
    Y = yield in weight;
   YE = equilibrium yield in weight;
    Z = total instantaneous mortality coefficient.

In the above list, symbols of the form B(0 indicate that
B is a function of /  and should not be confused with
multiplication.

  Review of typical dynamic pool model—The dynamic
pool model for change in yield  with respect to age  is
given by
              dY
              dx
            dx
(1)
where  F  is a  constant  and  N(.x) and  W(x)  are un-
specified functions  of age.  Change in the number of
individuals in a cohort with respect to age is given by
                               which after  integration becomes

                                                 N(x) = R e-Z*.
                                                       (3)
                               A number of different models  have been  applied  to
                               describe weight as a function of age; Richards (1959)
                               has shown that  these  models are related. Von Berta-
                               lanffy's equation
                                                                                (4)
                               has frequently been applied for this purpose and appears
                               to adequately describe the growth of many species of
                               fish. Substitution of equations (3) and (4) into  equation
                               (1)  gives the simple  Beverton and Holt yield  equation
                                        dY
                                        dx
                   = F R e-z* Woo (1 - e-KC*-*,))3.
                                                 (5)
                   dN
                   d*
= -Z N(x)
(2)
This model has recently been  discussed in considerable
detail by Gulland  (1969).  In equations (3), (4), and (5)
population density,  weight, and yield are  all  clearly
functions  of age. Under steady state conditions it has
been  shown  that  yield per generation equals  annual
yield  from an entire population (Thompson  and Bell
1934; Beverton and Holt 1957). In this situation  annual
yield can be calculated using equation (5), but  it  is con-
stant  with respect to time. In  practice, to compensate
for variation  in  recruitment,   equation (5) is usually
divided by recruitment to obtain an equation  for yield
per recruit (Gulland  1972). In most fisheries variation in
recruitment is important and has led to investigation of
stock-recruitment relations (Ricker 1958).
  Self-regeneration properties  of dynamic  pool models,
such as those proposed by Ricker (1954) and  Beverton
and  Holt (1957),  produce  a  continuous  age-discrete
generation  model.  These  self-regenerating  dynamic
pool models  usually have been applied to obtain yield
per generation (Ricker 1958; Larkin and  Ricker 1964;
Tautz et al. 1969; Waller et al. 1971). A  simple book-
keeping procedure can  easily  be established to  obtain
yield  per  year from a population consisting of  several
age-groups (Walters  1969). Continuous age models such
as the Von Bertalanffy growth equation may be applied
to calculate the  constants in self-regenerating dynamic
pool models, but these continuous age-discrete genera-
tion models are also discrete  time-discrete age  models
as is clearly revealed by the  nature  of Walters' (1969)
computer  program.  Self-regenerating  dynamic pool
models may offer the best approach for obtaining realistic
models. However, these  models are complex and  are
difficult to  compare with the simpler models; their
inclusion  in this study would result in an undesirable
degree of complexity.

  Review  of  typical surplus  production  model- — The
general form of this model for an exploited population
under average environmental conditions was formulated
by Schaefer (1954) as
                                                  (6)

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1000
                  JOURNAL FISHERIES RESEARCH BOARD OF CANADA, VOL. 30, NO. 7, 1973
If P(f) is taken as biomass, then

                P(0 = B(0 = N(/) W(0
                                                 (7)
where N(0 is the total number of individuals of all ages
at any point in time
                    =  f
                        Jo
              N(0 =   I   N(x,0  Ax             (8)
                       Jo

and W(r)   fhe average weight of an individual at time t
           W(0 =
                   f
                   Jo
                                    Ax
                         f
                         Jo
                                                 (9)
                                 Ax
 It can be shown (Jensen 1972), by applying the equation

              -•>
                                                ao,
 which is obtained by differentiating equation (7), that, if
 change in biomass with respect to time is given by the
 linear surplus production model
       f- = *«"(BT^)-
                                            .     .  .
                          dN
 then suitable equations for —— and dW/d/ are given by
                           At
         dN
          At
         dW      —
                       rN(Q
                                                (12)
 where k •= r + g. Yield with respect to time is given by
 the equation
                •- = F N(0 W(0-
                                                (14)
 Substitution of equations (12) and (13) into equation
 (14) gives
  Comparison  of simple dynamic pool and surplus pro-
duction models under steady state conditions — Virtually
no exploited fish population is in a steady state but, as
a first approximation in modeling a fish population, a
steady  state  is  usually  assumed  (Gulland  1972).  In
the steady state the difference between dynamic pool
and surplus production models results from specifying
different functions. In a steady state, where dB/df = 0,
dN/d? = 0, and  dW/d/ = 0, annual yield from a fishery
is given by
                                                                      YE = FB = B/(B)
                                                                                                      (16)
which is obtained from equations (6) and (7). Biomass
accumulation of a cohort during its lifetime in a steady
state is  given by
 f'
Jo
                                                                                     Ax
                                                (17)
where N(x) and W(x) are unspecified functions of age.
Biomass accumulation from an entire population during
1 year of life under steady state conditions is given by
 r
Jo
                    N(0 W(/) At
                                                                                                      (18)
but N(0 and  W(0 are constant with respect to time.
Substituting equations (8) and  (9) into expression (18)
gives
                                                                                                       (19)
and, after cancellation of similar terms and integration
with respect to time from 0 to 1, expression (19) becomes
the same as expression (17). Under steady state conditions
the biomass accumulation of a cohort during its lifetime
equals the biomass accumulation of an entire population
during 1 year.
  Substitution of expression (17)  into equation  (16) for
annual biomass accumulation gives


         YE = F   I N(JC]
                   Jo


                '  fN
                                                                                        dx.
                                                                                                      (20)
                                                       From equations (16) and (20) it is clear that yield in a
                                                       steady state can  be calculated  by four  different ap-
                                                       proaches :
                                             '.  (15)

                                                       (1)  Specify the  form  of no functions  and apply the
 Clearly, equations  (12),  (13),  and (15) give population   equation
 size,  average individual  weight, and yield  as functions
 of time.                                                                   YE = F B.                 (21)


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                                               NOTES
                                                                                               1001
This method was applied by Ricker (1945, 1958), who
separated the life of the fish into segments and applied
equation (21) to each segment and then summed over the
segments to obtain  yield from the entire  population.

(2)  Specify the form of the regulatory function, /(B),
and  apply the equation
                  YE=/(B)B.
                                   (22)
This is the surplus production approach. Examples of the
application of these models to specific fisheries are given
by Ricker (1958), Schaefer (1954), and Gulland (1972).
Ricker reviews the  assumptions of this approach.

(3)   Specify the form of W(x) and N(x) and apply the
equation
YE
                                  d*.
                                   (23)
 This is the dynamic  pool approach. Examples of the
 application of these models are given by Gulland (1972),
 Beverton and Holt (1957), and Gulland (1969). Ricker
 (1958) and Beverton and Holt (1957) review the assump-
 tions  of this approach.

 (4) Specify the form of/(B), N(x), and W(x) and apply
 the equation
                     f
YE = /(B)     W(x) N(x) Ax.       (24)
Equation (24) has not  been applied.  Application
of equation (24) is equivalent to applying both the
dynamic pool and surplus production models to
the same fish population. Gulland  (1972) has  ap-
plied both  the  linear surplus  production  model
and the Beverton and Holt yield equation  to  the
eastern Pacific  yellowfin tuna fishery,  but he  did
not combine the two models into a single equation.
Equation (24)  combines  the  surplus  production
concept of  the environmental  carrying  capacity
with  the age-specific events of the dynamic pool
model.  Application of equation (24) requires many
of the assumptions of both equations (22) and (23).
Equation (24)  may not  be of practical value, but
it is of interest for it shows that in a steady state
the constant for fishing mortality, F,  of the dynamic
pool  model  equals the  regulatory  function, /(B),
of the surplus production model.
  All four expressions  for yield are equal and theo-
retically give the same result.  However,  in  fitting
specific models to data  different results  may be
obtained with the four yield equations  if the func-
tions selected for /(B),  N(JC), and W(*) are not  rea-
listic. For  example, if  biomass is  calculated  by
functions N(;c) and W(x) that poorly approximate
mortality and growth, the annual biomass accumula-
tion estimated directly from the weight of the catch
may  not equal the annual biomass  accumulation
calculated  by  expression  (17).  Therefore, yield
calculated  by  the  surplus  production  approach
(equation 22) may not equal yield calculated by the
dynamic pool approach (equation 23).
   The dynamic pool yield equation may be more
accurate than the surplus production yield equation
because  the form  of the functions N(x) and W(x)
can be determined more easily than the form of
the  function /(B). To obtain data  on the form
of W(*)  and N(*) in a steady state, either observa-
tions can  be made throughout the  lifetime of a
cohort or  observations can be made  on the entire
population at a single point in time. To obtain data
on the form of/(B), estimates of yield and biomass
are required for different steady states. The dynamic
pool  model must be used if the parameters  it con-
tains, such as age of entry into the fishery, are of
interest.  Gulland (1972) has discussed in consider-
able  detail the practical aspects of applying both
the dynamic pool and surplus production models.
   Schaefer and Beverton (1963, equation  1) give a
general equation that  describes the dynamics with
respect to time of an exploited fish stock. The terms
in this equation for changes  with respect to time
were confused with  the  terms for  changes with
respect to  age that are contained in the expressions
for biomass in  both the dynamic pool and the sur-
plus  production models. This led  to  the incorrect
conclusion that the dynamic pool  model  describes
a  population in terms of recruitment, growth, and
natural and fishing mortality, whereas the surplus
production model  combines  these effects  into  a
common function  of the mean population  size.
Equation (23)  shows that yield calculated  by  the
dynamic  pool model is the product of the  fishing
mortality  coefficient  and  annual biomass  accu-
mulation. Annual biomass accumulation is estimated
analytically using functions  N(JC)  and  W(jt).  In
the dynamic pool model  the terms for recruitment,
growth,  and  natural  and  fishing  mortality  are
contained  in the  expression  for  annual biomass
accumulation. Equation (22) shows that yield cal-
culated  by the surplus  production  model  is  the
product  of the regulatory function and  annual
biomass  accumulation. In practice annual biomass
accumulation is estimated directly from the biomass
of the catch without  aid of the  functions \V(x)
and  N(x).  In  the  surplus  production  model  the
terms for  recruitment, growth, and natural  and
fishing mortality are all combined in the expression
for annual biomass accumulation. The regulatory
function  is a function of  biomass;  therefore,  the
regulatory function is also a function of recruitment,

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1002
                  JOURNAL FISHERIES RESEARCH BOARD OF CANADA, VOL. 30, NO. 7, 1973
growth, and natural  and fishing mortality.  In ad-
dition, however, the regulatory function contains
terms  that  have no counterpart in  the dynamic
pool  model. These terms  are  the coefficient for
growth in number of individuals  with  respect to
time,  r; the coefficient of growth of average indivi-
dual  weight, g; and the environmental carrying
capacity in terms of biomass, Bm. The  regulatory
function is  a complex function.
  In  summary,  the surplus production model is a
function  of time  and the  simple dynamic  pool
model is  a function of age. In the steady state the
differences between the dynamic pool and surplus
production  models result from  specifying different
functions: (1) In the dynamic pool model analytical
functions are  applied  to determine  biomass.  In
surplus production models  biomass  is  estimated
directly from the weight of the catch; (2) In dynamic
pool  models the proportion  of  the annual biomass
accumulation that is captured by fishing is estimated
directly  by  the coefficient  of fishing  mortality.
In surplus production models the proportion of the
annual biomass  accumulation that is captured  by
fishing is equated  to the regulatory function. The
regulatory function  gives the  rate of growth  of
biomass per unit of biomass that would occur in
the  absence of  fishing.  If  fishing were stopped,
biomass  would  increase  to  the environmental
carrying capacity, and the rate  of biomass increase
at the moment  fishing  stopped would  equal the
coefficient of fishing mortality. The  dynamic  pool
and surplus production models are  not based  on
mutually  exclusive  theories,   but  when  specific
functions are defined the results calculated by these
two methods may not agree. The dynamic pool and
surplus production approaches are  only two  of
four possible approaches for calculating yield under
steady state conditions. Some of the four approaches
may  be more accurate than others.

  Acknowledgments — I thank R. P. Silliman for valuable
suggestions that he  made on a draft of  this note.

BARANOV,  F. I.  1918.  On the question of the biological
  basis of fisheries [in Russian]. Nauch.-Issled.  Ikhtiol.
  Inst. Izv. 1: 81-128.
BEVERTON, R. J. H., AND S. J. HOLT.   1957.  On the
  dynamics  of exploited fish  populations.  H.M.S.O.,
  London.  533 p.
GRAHAM,  M.  1935.  Modern  theory of exploiting a
  fishery,  and application  to  North  Sea trawling.   J.
  Cons. Cons. Perma. Int. Explor. Mer 10: 264-274.
GULLAND, J.  A.  1969. ' Manual of methods for fish
  stock assessment.  Part 1.  Fish population analysis.
  FAO Man.  Fish. Sci. No. 4, Rome.  154 p.
    1972.  Population  dynamics  of  world  fisheries.
  University of Washington Press, Seattle, Wash.  336 p.
HJORT, J.,  G. JAHN, AND P. OTTESTAD.  1933.  The
  optimum catch.  Hvalradets  Skr. 7: 92-127.
JENSEN, A. L.   1972.  Population biomass, number  of
  individuals,  average individual weight, and the linear
  surplus-production model.  J. Fish.  Res. Board Can.
  29:  1651-1655.
LARKIN, P. A., AND W.  E. RICKER.  1964.  Further
  information on  sustained yields from fluctuating en-
  vironments.  J.  Fish.  Res.  Board Can. 20:  647-678.
RICHARDS, F.  J.  1959.  A flexible growth function for
  empirical use.  J.  Exp. Bot. 10: 290-300.
RICKER, W. E.  1944.  Further  notes on fishing mor-
  tality and effort.  Copeia  1944: 23-44.
    1945.  A  method  of estimating minimum  size
  limits for obtaining maximum yield.  Copeia 1945:
  84-94.
    1954.  Stock  and   recruitment.  J.  Fish.   Res.
  Board Can. 11: 559-623.
    1958.  Maximum sustained yields from fluctuating
  environments and mixed stocks.  J.  Fish. Res. Board
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SCHAEFER, M.  B.   1954.  Some aspects of the dynamics
  of populations important to the management of com-
  mercial  marine fisheries.   Bull. Inter-Amer.  Trop.
  Tuna Comm. 1: 27-56.
    1957.  A  study of the dynamics of the fishery for
  yellowfin tuna in the  eastern  tropical Pacific Ocean.
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SCHAEFER, M. B., AND R.  J.  H. BEVERTON.   1963.
  Fishery dynamics — their analysis and interpretation,
  p. 464-483.   In M. N. Hill [ed.] The  sea.  John Wiley
  & Sons, New York, N.Y.
SILLIMAN, R. P.  1971.  Advantages and limitations  of
  "simple" fishery models in  light of laboratory experi-
  ments.  J.  Fish. Res. Board  Can. 28:  1211-1214.
TAUTZ, A., P. A.  LARKIN, AND W. E. RICKER.   1969.
  Some effects  of simulated long-term  environmental
  fluctuations on  maximum  sustained yield.  J. Fish.
  Res. Board  Can. 26: 2715-2726.
THOMPSON, W. F., AND  F. H. BELL.   1934.  Biological
  statistics of the Pacific halibut fishery.  (2)  Effects
  of changes in intensity upon total yield and yield per
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  Wash.  49 p.
WALLER,  W. T., M.  L.  DAHLBERG, R. E. SPARKS, AND
  J. CAIRNS, JR.   1971.   A computer  simulation of the
  effects  of superimposed mortality due  to pollutants
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  Amer.  Fish. Soc,  98: 505-512.

-------
CONTRIBUTION NO. 158

-------
                                         Copyright  1973 by  the Society of Proto/oologists
                                         Reprinted  from THE JOLRNAI. OF PROTOZOOLOGY.
                                              J. PROTOZOOI.., 20(3), 443-4-45  (1973).
                                               Made in  United Sidles of America

       The  Polychlorinated  Biphenyls,  Aroclors®  1248  and  1260:   Effect  on  and

                               Accumulation by  Tetrahymena pyriformis*

                         NELSON R. COOLEY, JAMES M. KELTNER, JR. and JERROLD FORESTER!
                        Environmental Protection  Agency, Gulf  Breeze Environmental  Research  Laboratory,
                              Sabine Island, Gulf Breeze, Florida 32561; Associate Laboratory of the
                                    National Environmental  Research  Center, Corvallis, Oregon


     SYNOPSIS.   Effects of 2  polychlorinated biphenyls, Aroclor 1248  and  1260, on  axenic  Tetrahymena pyriformis  strain W
     were investigated  and compared  with published  data on Aroclor 1254.  Aroclors 1248 and 1260 at 1 ing/liter in the presence
     of 0.1%  (v/v) polyethylene  glycol  200 reduced significantly  (P <  0.005)  growth  rates  and  96-hr  populations  of T.
     pyriformis  grown  at  26 C. Both toxicants  were  ~ 0.001 as  toxic as  Aroclor  1254.   Ciliates were exposed for 7 days to
     concentrated Aroclors 1248 40X, 1254 60X,  and 1260  79 X  over initial  concentrations in the media.   Accumulation of
     Aroclors increased with increased chlorination.  It is suggested that if levels in  the environment reached  those used in these
     studies, the chief  ecologic  effect  of Aroclor  1254 would be reduction of  availability of the ciliates  as food  and as nutrient
     regenerators, but with Aroclors  1248 and 1260, this effect would  be  secondary to accumulation  of the  toxicants  by the
     ciliates.  Accumulation of polychlorinated biphenyls by ciliates would permit the  toxicants  to enter aquatic food chains.  Thus
     the  compounds could exert toxic effects at higher trophic levels.

     Index Key Words:  Tetrahymena pyriformis  strain W; axenic cultivation; Aroclor 1248; Aroclor  1254;  Aroclor 1260; toxic
     effect on, and  accumulation by ciliates.
    THE  Aroclors  are  mixtures  of  polychlorinated  biphenyls
     (PCBs) or terphenyls.  The PCBs are related structurally
to DDT and some are toxic  to and  accumulated by animals and
man  (17).  Aroclor  1254, reported  from water, sediment, and
biota of Escambia  Bay, Florida (5), in laboratory  experiments
is  toxic to  and accumulated by the  ciliate,  Tetrahymena pyri-
formis, and by shrimp,  fiddler crabs,  oysters, and fishes (4, 5,
9, 10, 13,  14).  The ubiquity  and significance of these  and re-
lated PCBs in the environment have  been reviewed (6, 5, 17).
   Individual Aroclors  are identified  by 4-digit  numbers,  the
first 2 indicating the type of molecule and the last 2, the weight
percentage  of  chlorine in  the molecule. For example,  Aroclor
1248 is a polychlorinated  biphenyl  that contains 48%  chlorine.
The Aroclors  have  been  used in lubricants; as  plasticizers  in
paints, plastics, and  chlorinated rubbers; as heat-exchange fluids
in industrial heating systems; and  as dielectric compounds  in
large electrical transformers  and capacitors  (17).  Recently,  use
of these compounds has been restricted to their dielectric  ap-
plication (17).
   We  report here  the  effects  of Aroclors  1248  and  1260 on
growth of  populations  of  T.  pyriformis and the accumulation
of these compounds  by this ciliate. The data are compared with
our previous observations on  response of T. pyriformis to Aroclor
1254 (4).

               MATERIALS AND  METHODS
   Tetrahymena pyriformis  strain W  was  grown in  optically
matched culture tubes  containing  10 ml  of proteosc  peptone
[2%  (w/v)]  medium,  supplemented  with   0.1%  (w/v)  de-
hydrated yeast  extract and 0.5%  (w/v)  glucose, at  26 C. Cul-
ture tubes were slanted at 60° to enhance aeration.
  ©Registered Trademark,  Monsanto Co.,  800  N. Lindbergh
Blvd.,  St. Louis,  Mo.  Mention of commercial products  does not
constitute endorsement by the Environmental Protection Agency.
  * Contribution  No.  158,  Gulf  Breeze Environmental  Research
Laboratory.
  t We thank Dr. John O. Corliss for the cultures of T. pyriformis
strain W from which our stock was  derived, the Monsanto Com-
pany  for  the  samples of Aroclors  1248  and  1260 used  in  this
investigation, and David J.  Hansen  and Dr. Alvin L. Jensen for
y«^7}^ ^j,,.:-^ ..p *k«f -f~».'-ti_-.ii syv'"":/! of our data.
  Stock solutions of  toxicants  in  polyethylene  glycol 200  were
prepared,  and chemical residue analyses in media and cells were
performed by methods already  described  (4),  with one excep-
tion.  Previously,  petroleum ether  was used in extraction before
gas-chromatographic analysis.  In  this  study, a mixture of equal
parts of ethyl and petroleum ethers was used.
  Aroclors were  tested  in  the  presence of  0.1%  (v/v)  poly-
ethylene glycol 200 for effect on  Tetrahymena  growth  and  for
accumulation by the ciliates. This concentration of polyethylene
glycol  had no  toxic effect on  the ciliates  (4)  and we had  no
reason to suspect  that effects of polyethylene glycol and Aroclors
were additive.  Aroclor 1248 was  tested at 0.01, 0.1, and 1 mg/
liter.  Aroclor 1260 was tested for effect on  population  growth
at 0.001, 0.01,  0.1,  1,  and 10 mg/litcr and for accumulation at
0.001,  0.01, 0.1, and  1  mg/liter.   Each concentration was tested
for effect  on population growth  in 6 replicate 96-hr experiments
and for accumulation in  3  replicate  7-day experiments.  Initial
concentrations of each Aroclor in  the  media were confirmed by
electron-capture gas chromatography,  and  were within  17% of
the desired concentrations.
  Growth was  measured as absorbance at 540 nm.  Observations
were made at 0, 4, 8, 16, 24, 36,  48,  60, 72,  84,  and  96 hr and
the data graphed.  Exponential  growth rate of each population
was estimated  as the quantity  b  of  the least  squares  estimate
of the line )• = a +  bx  of the exponential part of the growth
curve.  The calculated regression  lines for this segment of  the
growth curves closely  fitted the experimental data—for Aroclor
1248,  r >  0.89; for Aroclor 1260, r > 0.87.  In addition, popu-
lations were compa-cd at 96 hr, when densities of control popu-
lations were  maximal.  Values for all  treatments in 6 replicates
were subjected to analysis of variance with 2-way  classification
and individual  treatments were compared by Scheffe's test  (16).
Differences were considered significant at P <  0.05.

                         RESULTS
Aroclor 1248
  Effect mi population growth.—Exponential growth rate of  the
ciliaie  (Table  1)  was  reduced  significantly  by  Aroclor 1248
[variance ratio, Ft-..  ,.-.. = 6.77; P < 0.005], growth rates  of  popu-
lations  exposed to 1  mg/lilrr  of [he compound  being  18.9%

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444
                                           EFFECTS OF AROCLORS ON  T. pyriformis
          TABLE  1. Comparison of the effect of Aroclors 1248 and 1260 on growth of T. pyriformis  strain W  at  26 C.
Concentration
Toxicant (mg/liter)
AROCLOR 1248 0
0.01
0.1
1.0
AROGLOR 1260 Series 1
0
0.001
0.01
0.1
1.0
Series 2
0
1.0
10.0
Mean- growth
rate*
(6)
0.0164
0.0168
0.0161
0.0133

0.0168
0.0176
0.0179
0.0171
0.0126

0.0194
0.0157
0.0113
Difference
(%)

+ 2.2
- 1.8
-18.9t


+ 4.8
+ 6.5
+ 1.8
-25.0§


-19.1**
-41.1**
Mean population
density at
96 hr*
(absorbance)
0.7732
0.7883
0.7915
0.6992

0.8472
0.8487
0.8533
0.8317
0.6577

1.0175
0.8788
0.7075
Difference
(%}

+ 1.9
+ 2.4
- 9.6*


+ 1.8
+ 7.2
-18.3
-22.411


-13.6tt
-30.5tt
  * Means of 6 replicate experiments.
  tFo. IB = 6.77, P < 0.005; t Fa  ls, = 9.35, P < 0.005; § F«
< 0.005; ttF0> 10) = 217.90, P < 0.005.
                                                             = 5.85, P < 0.005; II F«. » — 6.06, P < 0.005; ** Fa. *» = 485.00, P
less than those of control populations.  There was no statistically
significant difference between growth  rates of control and ex-
perimental populations  exposed to lower concentrations or among
growth rates of experimental populations  exposed to lower con-
centrations.
   Population  density at 96  hr (Table  1)  was reduced (9.6%)
significantly by  1  mg/liter  [Fa, m  = 9.35; P < 0.005],  but
not by lower concentrations of the toxicant.
   Accumulation.—Tetrahymena  pyriformis accumulated Aroclor
1248  from  media containing 0.01, 0.1, or 1 mg/liter  during 7-
days  exposure.  Uptake of the toxicant from the  medium  was
linear with increasing concentration.  When initial concentration
in the medium was  plotted against  mean concentration in the
cells,  the data agreed  closely  (r =  0.998)  with the calculated
regression  line Yx — 0.9322^ - 1.4746.  Concentration  factors
ranged from 14.8 to  40.6. Ciliates exposed  to 0.01 mg/liter ab-
sorbed 15.1-25.5% (x = 21.6%)  of the toxicant in the  medium,
those exposed to 0.1 mg/liter absorbed  13.4-19.2%  (x =  15.7%),
and  those  exposed  to  1  mg/liter absorbed  14.9-19.2%  (x =
16.8%).
   We observed no indication of  change in isomeric composition
of Aroclor  1248 as was reported for Aroclor  1254 in  tissues of
fish (9) and shrimp (14).

Aroclor 1260
   Effect on population growth.—Exponential growth rate of the
ciliate  (Table  1)  was reduced  significantly  by  Aroclor  1260
[F «.  »> = 5.85,  P < 0.005, in the 1st  series;  F a. «> = 485.00,
P  <  0.005, in a 2nd series], growth  rates of organisms  exposed
to the highest concentrations being 19.1-25.0% less at 1 mg/liter
and 41.1%  less at 10 mg/liter than those of control populations.
There was no  statistically significant difference  between growth
rates  of control  populations and populations  exposed  to  lower
concentrations of the  toxicant.
  At  96 hr, population  density was reduced significantly [F u, 20)
= 6.06, P <  0.005, in  the 1st; and F  e, ,„> = 217.9, P < 0.005
in the  2nd experimental series].  The reduction  ranged  13.6-
22.4% in ciliate populations exposed to 1  mg/liter and 30.5%
in those exposed to  10 mg/liter.  No  significant reductions in
                                                                population density were observed  in  the presence of  a lower
                                                                concentration of the toxicant.
                                                                  Accumulation.—Tetrahymena  pyriformis accumulated Aroclor
                                                                1260 from medium that contained 0.001, 0.01, 0.1, or  1  mg/liter
                                                                during 7-days exposure.  Uptake of the toxicant from  the  me-
                                                                dium was linear with  increasing  concentration.  When  initial
                                                                concentration in  the  medium was plotted against mean concen-
                                                                tration in  the cells, the  data  agreed closely  (r  = 0.917) with
                                                                the calculated regression line ¥„ = 0.06967^-0.2191.  Concen-
                                                                tration factors ranged 21-79.  Ciliates exposed to 0.001  mg/liter
                                                                absorbed  amounts that ranged from detected-but-unquantifiable
                                                                to 61.7%  (x =  38.2%)  of the  toxicant  in  the  medium; those
                                                                exposed  to 0.01  mg/liter,  16.4-49.3%  (x =  36.8%), those  ex-
                                                                posed to  0.1 mg/liter,  15.1-68.1%  (x  = 41.7%), and those  ex-
                                                                posed to  1 mg/liter, 26.4-81.0% (x — 53.3%).
                                                                  We observed no indication of change in isomeric composition
                                                                of Aroclor 1260  as was reported for Aroclor 1254 in tissues  of
                                                                fish (9) and shrimp (14).
                                                                  Comparison  of accumulation  of Aroclor 1248  and  Aroclor
                                                                1260 by  T. pyriformis  by the i-test (differences considered sig-
                                                                nificant at P < 0.05) (16)  revealed that (a)  when concentration
                                                                of each compound in the  medium increased,  concentrations  of
                                                                Aroclor  1248 in  the cells increased at  the  same rate, as  did
                                                                Aroclor 1260 (P  > 0.05) and  (b) the mean  amounts  of Aroclor
                                                                1248 and Aroclor 1260  accumulated were not significantly dif-
                                                                ferent (P  > 0.05).

                                                                                        DISCUSSION
                                                                  Protozoa, algae, and  bacteria  form the broad  base  of aquatic
                                                                food chains.  Ciliates are among the most  numerous organisms
                                                                of the  estuarine  benthos  (1, 7)  and may be more  important as
                                                                nutrient  regenerators, particularly  of nitrogen and phosphorus,
                                                                than are  bacteria  (11,  12).  Also,  some ciliates,  including  T.
                                                                pyriformis,  can  concentrate  certain  persistent  pesticides  and
                                                                PCBs  (4,  8), and thus  help  translocate them  up the trophic
                                                                pyramid.  It  has  been shown that PCBs build up in food chains
                                                                (6). It is possible, therefore, that PCBs acting-on or through
                                                                these ciliates could  be  toxic  at  higher  tronhir  1w»i<> «:+v~_

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                                            EFFECTS  OF AROCLORS ON T. pyriformis
                                                           445
through  disruption  of nutrient  cycles  or through  translocation
and bioaccumulation in the food chain (2, 3, 17).
  Tests of Aroclor  1254 included  concentrations found in nat-
ural  waters and sediments  (5).  Testing  similar concentrations
of Aroclor 1248 and  1260 permitted comparison of effects and
accumulation  of the 3 compounds.  All  were toxic to and ac-
cumulated by T. pyriformis, although in different degree.  Aro-
clor  1254 was the most toxic, as  judged by significant reduction
of both  growth rate and  96-hr  population  density  at  0.001
mg/liter concentration  (4), whereas Aroclors  1248 and  1254
did not  reduce significantly either population  growth  or 96-hr
population density  at concentrations below 1 mg/liter.  Concen-
tration of  these PCBs by T. pyriformis increased with increas-
ing chlorination of the toxicants: Aroclor  1248, 40 X; Aroclor
1254, 60 X; and Aroclor 1260, 79  X. This trend appears to  be
in agreement with the suggestion  that PCBs with fewer  chlorines
tend to be metabolized or excreted faster than those more chlo-
rinated,  so that the  latter  compounds tend to  increase in  food
chains (10, 17).
  At the concentrations tested, the chief effect of Aroclor  1254
on natural populations of T. pyriformis and ciliates  that respond
similarly might be  reduction of population density.  This would
reduce  their  availability  as food  organisms  and  nutrient re-
generators.  Conversely, with Aroclors 1248  and 1260, reduction
of population density is  secondary in importance  to accumula-
tion of the toxicants by  the ciliates. The ability of  these  ciliates
to concentrate them would enable these  PCBs to  enter aquatic
food  chains, thereby permitting  the toxicants  to  pass to, and
possibly  exert their effect  at higher  trophic levels.


                        REFERENCES
   1. Borror, A. C.  1963. Morphology and ecology of the benthic
ciliated protozoa of Alligator Harbor, Florida.  Arch. Protistenk.
106,  465-534.
   2. Burdick,  G. E., Harris, E. J.,  Dean, H. J., Walker,  T. M.,
Skea, J. & Colby,  D. 1964.  The accumulation  of  DDT in lake
trout and  the effect  on  reproduction. Trans. Am. Fish.  Soc. 93,
127-36.
  3. Butler, P. A. 1969. Monitoring pesticide pollution. BioScience
19, 889-91.
  4. Cooley, N. R., Keltner, J. M., Jr. & Forester, J. 1972. Mirex
and Aroclor® 1254: Effect on and accumulation by Tetrahymena
pyriformis  strain  W. /. Protozool. 19, 636-8.
  5. Duke, T. W.,  Lowe,  J.  I.  &  Wilson,  A. J., Jr.  1970.  A
polychlorinated  biphenyl  (Aroclor®  1254),  in  water,  sediment,
and biota  of  Escambia  Bay,  Florida.   Bull. Environ.  Contam.
Toxicol. 5, 171-80.
  6. Dustman, E. H.,  Stickel, L. F., Blus, L. J., Reichel, W. L. &
Wiemeyer,  S. N. 1971. The occurrence  and significance of poly-
chlorinated biphenyls  in  the environment. Trans.  36th N.  Am.
Wildl. Nat. Resour. Con/.  118-33.
  7. Fenchel,  T. 1967.  The  ecology  of  marine  microbenthos.
I.   The quantitative  importance  of  ciliates  as  compared with
metazoans  in  various types of  sediments. Ophelia 4,  121-37.
  8. Gregory, W. W.,  Jr., Reed, J. K. & Priester, L. E., Jr. 1969.
Accumulation of  parathion and DDT by some algae and protozoa.
/. Protozool. 16, 69-71.
  9. Hansen,  D.  J.,  Parrish, P. R., Lowe, J. I., Wilson, A. J., Jr.
& Wilson,  P. D.  1971. Chronic toxicity,  uptake, and retention  of
Aroclor®  1254 in two estuarine  fishes.  Bull.  Environ.  Contam.
Toxicol. 6, 113-9.
  10. Jensen, S., Johnels, A. G., Olsson, M. & Otterlind, G. 1969.
DDT and  PCB in marine animals from Swedish waters.   Nature
(London)  224, 247-50.
  11. Johannes,  R.  E.  1965.  Influence of marine protozoa on
nutrient regeneration.  Limnol. Oceanogr. 10,  434-42.
  12. 	  1968. Nutrient  regeneration in  lakes  and  oceans,
in   Droop,  M. R. & Ferguson Wood,  E.  J., eds., Advances  in
Microbiology of the Sea,  Academic Press, New York 1,  203-13.
  13. Nimmo,  D. R.,  Wilson,  P.  D., Blackman, R. R. & Wilson,
A. J., Jr.  1971. Polychlorinated biphenyl absorbed from sediments
by  fiddler  crabs  and pink shrimp. Nature 231, 50-2.
  14. 	,  Blackman, R. R., Wilson, A. J., Jr.  & Forester, J.
1971.  Toxicity  and  distribution of  Aroclor®  1254  in  pink
shrimp Penaeus duorarum.  Mar. Biol. (Berlin) 11, 191-7.
  15. Peakall,  D.  B.  & Lincer, J.  L.  1970.  Polychlorinated
biphenyls:  another long-life widespread  chemical in the environ-
ment.  BioScience 2O,  958-64.
  16. Snedecor,  G.  W.  & Cochran,  W.  G.  1971.  Statistical
Methods. 6th ed. Iowa State Univ. Press, Ames.
  17. U.   S.  Interdepartmental  Task  Force  on  PCBs.   1972.
Polychlorinated Biphenyls and the  Environment.  Final  Report.
COM-72-10419.  192  pp. (National Technical  Information Ser-
vice, U. S. Dept. of Commerce, Springfield, Va. 22151.)

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CONTRIBUTION NO. 159

-------
      Differential Responses of Marine Phytoplankton
               to Herbicides: Oxygen Evolution
                        by TERRENCE A. HOLLISTER
                      Environmental Protection Agency
            Gulf Breeze Environmental Research Laboratory, Sabine Island
                          Gulf Breeze, Fla. 32561
                                 and
                            GERALD E. WALSH
          Associate Laboratory of the National Environmental Research Center
                             Corvallis, Ore.

                             INTRODUCTION

     Marine unicellular algae  vary in their responses to a variety
of toxicants,  including chlorinated hydrocarbon insecticides  (UKELES
1962, MENZEL et  al.  1970),  organophosphate insecticides (DERBY and
RUBER 1970), and fungicides (UKELES 1962).  Little is known, however,
about toxicities of herbicides to marine unicellular algae.  Responses
of four algal  species  to 30 herbicidal formulations have been reported
(WALSH 1972) and the urea and  triazine herbicides were the most
toxic.  Four urea  herbicides also caused depression of the carbo-
hydrate contents of six species  of algae,  and effect was directly
proportional to  salinity of the  growth medium (WALSH and GROW 1971).

     The work  reported  here was  done to learn if marine unicellular
algae differ in  their  responses  to herbicides.   We tested 18  species
against the substituted ureas, neburon and diuron, and the triazines,
atrazine and ametryne.
                        MATERIALS AND METHODS

     The  algae were obtained from the culture collections of the
Woods Hole  Oceanographic Institution, Scripps Institution of
Oceanography, and  Indiana University.  All were maintained and
tested  in a growth medium composed of artificial seawater —'
supplemented with  trace elements and vitamins.  The supplements,
per  liter of medium,  were:  30 mg N32EDTA, 14 mg FeCl2'6H20,
34 mg H3B03, 4 mg  MnCl2 • 4H20, 2 mg ZnS04'7H20, 6 mg K-jPO^,
100 mg  NaNO.,, 40 mg Na SiO -9H 0, 5ug CuSO,, 12 pg CoCl  ,
50 ug thiamine hydrochloride, I pg vitamin B^2, and 0.01 ug biotin.
Salinity  was 30 parts per thousand and the pH ranged between 7.9
and 8.1.  The medium was sterilized by autoclaving for 15 minutes
at 121°C.

     Five ml of stock algae were inoculated into 100 ml  of growth
medium  and  incubated at 20°C under 6,000 lux illumination from
fluorescent tubes  with alternating 12-hour periods  of light and

~~ Contribution No. 159 from  the Gulf Breeze  Laboratory.
2 /
—  From Rila Products, Teaneck, New Jersey.  Mention of  commercial
products  does not  constitute endorsement by the Environmental
Protection  Agency.
                                      291
Bulletin of Environmental Contamination ft Toxicology,
Vol. 9. No. 5 © 1973 by Springer-Verlag New York Inc.

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darkness for three days.  Then, the cultures were centrlfuged gently
and resuspended in growth medium to an optical density of 0.100 at
525 m]i on a Fisher electrophotometer.  The algal cultures were not
axenic.

     Effects of herbicides were  easured as inhibition of oxygen
evolution.  Both ureas and tri ,^j.nes inhibit photosynthesis and
move quickly into the cells (ZWEIG 1969) and the concentrations
required for inhibition of both growth and photosynthesis are the
same (WALSH 1972).

     Concentrations of herbicides in the suspending media ranged
from zero to those which inhibi sd evolution of oxygen by approxi-
mately 25, 50, and 75%.  Concer Cations were calculated as parts
per billion (ppb) of the technical preparation.  From each cell
suspension, 5.0 ml were placed in reaction vessels of a Gilson
photosynthesis model differential respirometer.  After equilibrating
at 20°C for 30 minutes, oxygen evolution was measured for 60 minutes
with a C02 buffer in the well of the reaction vessel (UMBREIT et al.
1964). Duplicate flasks were analyzed and each test was performed
three times.

     All data were subjected to statistical analysis.  Mean
percentage inhibition after 60 minutes was calculated and EC50
values (effective concentrations at which evolution of oxygen was
507» that of untreated cell suspensions) were calculated by the
least squares method.  Concentrations were converted to logarithms
and responses to probits and the standard error obtained for each
series of tests.
                     RESULTS AND DISCUSSION

     The EC50 values for the four herbicides and 18 algal species
tested are shown in Table 1 and summarized by family in Table 2.
Atrazine was the least toxic; ametryne, neburon, and diuron were
approximately equal in toxicity.  Species of the family Bacillari-
ophyceae were generally the least sensitive, requiring as much as
5.8 times more ametryne to reduce oxygen evolution by 507» than did
species of the other families.

     Wide variations occured in response to the toxicants among
the individual species of the families Chlorophyceae, Bacillari-
ophyceae, and Chrysophyceae.  A measure of the range of responses
among species was calculated by derivation of the ratio of the
highest EC50 to the lowest EC50.  The ratio, here called the
"Difference Factor", is given for each family and herbicide in
Table 2.  Difference Factors were greatest in the Bacillariophyceae,
being as high as 11.9 for neburon-treated algae.  In that case,
the EC50 for Cyclotella nana was 11 ppb, whereas for Nitzschia
(Indiana strain 684) it was 131 ppb.
                            292

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TABLE 1.  EC50 (ppb) of neburon, diuron, atrazine, and ametryne on oxygen evolution by marine

          unicellular algae.  Standard errors  (SE) were derived by unweighted probit analysis.
Fami ly
Species
Chlorophyceae
      Ch1amydomonas sp.
      Dunaliella tertiolecta
      Platymonas sp.
      Chlorella sp.
      Neochloris sp.
      Chlorococcum sp.

Bacillariophyceae
      Thalassiosira fluviatilis
      Navicula inserta
      Amphora exigua
      Achnanthes brevipes
      Stauroneis amphoroides
      Cyclotella nana
      Nitzschia closterium
      Nitzschia  (Ind. 684)

Ch ry s ophy ce a e
      Monochrysis lutheri
      Isochrysis galbana
      Phaeodactylum tricornutum

Rhodophyceae
      Porphyridium cruentum
                                         Neburon
EC 50
37
10
12
22
39
20
108
124
82
23
17
11
120
131
12
20
40
SE
5
3
5
3
6
3
9
11
5
4
3
4
13
9
4
5
7
                                              Diuron
EC 50
37
10
17
19
28
20
95
93
31
24
31
39
50
169
18
10
10
SE
3
3
3
2
5
4
10
12
4
1
2
7
6
17
3
3
3
                 Atrazine
EC50
60
159
102
143
82
80
110
460
300
93
348
84
287
434
77
100
100
SE
8
18
8
8
7
7
19
15
21
11
67
19
68
84
23
17
19
               Ametryne
EC50
41
40
24
32
36
10
58
97
26
19
65
55
62
135
14
10
10
SE
5
6
4
3
7
3
7
9
4
I
11
8
6
11
4
4
5
                            24
24
79
35

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TABLE 2.  Average EC50 values (ppb) for four herbicides and four families of marine unicellular algae.




The Difference Factor (DF) is the ratio of the highest to the lowest EC50 among the algal species.
Family
Chlorophyceae
Bacillariophyceae
Chrysophyceae
Rhodophyceae
Number of
Species Tested
6
8
3
1
Neburon
EC50 DF
23 3.9
77 11.9
24 3.3
24
Diuron
EC50 DF
22 3.7
67 7.0
13 1.8
24
Atrazine
EC 50
104
265
92
79
DF
2.6
5.5
1.3
_
Ametryne
EC 50
31
65
11
35
DF
4.1
7.1
1.4
_

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     These data show that when bioassay analyses are conducted for
effects of herbicides on marine unicellular algae, two factors are
particularly important:  (1) the response in relation to familial
taxonomic position, and (2) the wide range of responses by individual
species within a given family.  It is necessary, therefore, to use
several species from each of several families in algal bioassay
studies to obtain realistic data concerning effects of herbicides
on algae.
                       ACKNOWLEDGEMENT

     We thank E. I. DuPont de Nemours and Co. for providing the
urea herbicides, and Geigy Agricultural Chemicals for providing
the triazine herbicides used in these experiments.
                         REFERENCES

     DERBY, S. B.  (SLEEPER) and E. RUBER.  Bull. Environ. Contam.
     Toxicol. 5:553-558,  (1970).

     MENZEL, D. W., J. ANDERSON, and A. RANDTKE.  Science 167:
     1724-1726,  (1970).

     UKELES, R.  Appl. Microbiol. 10:532-537,  (1962).

     UMBREIT, W. W., R. H. BURRIS, and J. F. STAUFFER.  Manometric
     Techniques, 4th ed., Burgess Pub. Co., Minneapolis, Minn.,
     305 pp.  (1964).

     WALSH, G. E.  Hyacinth Control J. _10:45-48,  (1972).

     WALSH, G. E.  and T. E. GROW.  Weed Sci. JL9:568-570,  (1971).

     ZWEIG, G.  Residue Rev. 2_5:69-79,  (1969).
                                     295

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CONTRIBUTION NO. 163

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 Comp. Biochem. PhysioL, 1974, Vol. 49B, pp. 375 to 379. Pergamon Press. Printed in Great Britain



            SOME  ASPECTS OF MYOSIN ADENOSINE

   TRIPHOSPHATASE  OF PINK SHRIMP (PENAEUS

                              DUORARUM}*


                                W.  P. SCHOOR

 U.S. Environmental Protection Agency, Gulf Breeze Environmental Research Laboratory,
 Sabine Island, Gulf Breeze, Florida 32561, U.S.A. (Associate Laboratory of the National
                 Environmental Research Center, Corvallis, Oregon)

                            (Received 22 October 1973)


     Abstract—1. Myosin ATP'ases of shrimp and rabbit muscle behave similarily
     except at temperatures above 30°C where the activity in shrimp started  to
     decline rapidly.
        2. There is  a correlation between the effects  of temperature on myosin
     ATP'ase and behavior of shrimp in nature; this  compares well with  similar
     observations in crayfish (Maruyama, 1958).
        3. Data obtained emphasize that under certain  conditions caution must
     be used in determining initial enzymatic activities.


                               INTRODUCTION
 PURIFICATION of myosin adenosine  triphosphatase  (ATP'ase,  E.G. 3.6.1.3)  is
 usually carried out by modification of the method of Szent-Gyorgyi  (1951)  in
 combination  with one of a  variety of buffers.  The characteristics of proteins  in
 solution are such, however, that changes  in ions, as  well as  changes in pH and
 temperature, can affect their conformation (Flory, 1956).  If the proteins  possess
 catalytic  function,  altered  conformation  may cause changes in their  specific
 activity. In the research reported here, some aspects of shrimp myosin ATP'ase
 in solution were investigated, using  the method of Szent-Gyorgyi for purification
 and a minimal amount of histidine buffer.

                         MATERIALS AND METHODS
   Pink shrimp (Penaeus duorarum) from the Gulf of Mexico near Tampa, Florida, were
 held in large tanks with flowing sea water and fed fish muscle for 2 weeks  prior to use.
 Sea water (February-May) averaged 10°C and 23 %„ salinity.  Heads of shrimp were removed
 and tails diced after removal of exoskeleton, nerve cord and digestive tract.  Ten g of diced
muscle were homogenized in a blender for 30 sec with 50 ml of 0-5 M KC1 that contained
0-002 M histidine at pH 7-0 (KCl-histidine buffer), and centrifuged in a Beckman Model
 L 3-50 ultracentrifuge at 70,000 g (max.) for 45 min, using a SW-25.2 rotor. The super-
nate, usually 35-40 ml, was decanted and diluted 1 : 19 with 0-5 mM histidine at pH 7-0.
The resulting flocculate was allowed to settle for 30 min before centrifugation at 17,000 g
 (max.) for 10 min, using  a SW-50.1 rotor. The supernate  was decanted and sufficient

   * Contribution No. 163, Gulf Breeze Environmental Research Laboratory.

                                      375

-------
376                               W. P. SCHOOR

KCl-histidine buffer added to bring the volume to 25 ml. The resulting solution was ad-
justed to 0-5 M in KC1 by the addition of powdered KC1.  This procedure was repeated
twice more. The final enzyme solution was centrifuged at 100,000 g (max.) for  1 hr to
remove  aggregates and diluted to the desired enzyme concentration  with KCl-histidine
buffer.
   The specific activity of the myosin ATP'ase is expressed here as the number of micro-
equivalents of inorganic phosphate (Pj) liberated per gram of protein per second (/n-equiv.
P,/g  per sec).  The ATP'ase activity  was  determined  by the  pH-stat technique (Kay &
Brahms, 1963) with a Radiometer pH Meter 26, Titrator II, Autoburette ABU 12,  Titi-
graph SBR-2-c,  and G-222-B  and K 401  electrodes.  The  reaction mixture was kept at
constant temperature in a jacketed vessel  connected to a Lauda K-2/R Circulator.  The
reaction volume was 5 ml and no adjustment was made for the small error in concentration
caused by dilution with base. The order of addition of reagents was inconsequential, but
it was convenient to add the enzyme last. Unless otherwise indicated, only initial activities
are given. Reagent blanks were determined in the  absence of myosin.  The Biuret method
with bovine serum albumin as the standard was used for protein assay.

                                    RESULTS
    The enzymatic activities for  shrimp  myosin ranged from 3 to  5 /u-equiv.
Pj/g per sec  and were linear  up  to 2 mg of protein  per assay, after  which the
activity declined.
    Table 1 shows the  change in the specific activity as a function of pH and time.
Specific activity between pH 6-5 and 8-0 increased with increasing pH and remained
constant for  at least 4 min. After 1 min at pH 8-5 and 9-0, the  activity of the
ATP'ase decreased.  True  initial activity at those pH values may have been under-
estimated because of rapid inactivation of the enzyme.

     TABLE 1—EFFECT OF pH ON SPECIFIC ACTIVITY OF MYOSIN ATP'ase OF SHRIMP
                                (Penaeus duorarum)*
                                   Specific activity (min)

                       pH      1       2       3
5-5
6-5
7-0
7-5
8-0
•8-5
9-0
0
0-70
0-92
1-58
3-32
5-22
3-00
0
0-70
0-92
1-58
3-32
1-38
1-38
0
0-70
0-92
1-58
3-32
0-94
0-94
0
0-70
0-92
1-58
3-32
0-34
0-34
        * Assay conditions:  l-44mg protein/assay, 0-5 M KC1, 0-1 M CaCl2, 2 mM
     ATP, 25°C. Values represent the average of three determinations; error  was
     ±10 per cent maximum.

    Table 2 shows the same type of enzymatic response as a function of temperature.
 There was no change in the specific activity of myosin ATP'ase during the 3-min
 reaction  interval between 20  and 25°C.  The specific activities  rose  during the
 first minute up to 30°C but declined at 35°C, at which temperature the true initial

-------
                 MYOSIN ADENOSINE TRIPHOSPHATASE OF PINK SHRIMP             377

    TABLE 2—EFFECT OF TEMPERATURE ON THE SPECIFIC ACTIVITY OF MYOSIN ATP'ase
                         OF SHRIMP (Penaeus duorarum) *
                                         Specific activity (min)
                 Temperature            	=	
                     (°C)                  1               3
                      20                 2-29             2-29
                      25                 2-92             2-92
                      30                 3-48             1-53
                      35                 3-36             0-10

       * Assay conditions: 1-44 mg protein/assay, 0-5 M KC1, 0-1 M  CaCl2, 2 mM
    ATP, pH 8-0.  Values represent the average of three  determinations;  error
    was ± 10 per cent maximum.

activity may have been underestimated because of rapid inactivation of the enzyme.
   Table 3 shows the effects of storage at 0°C and CaCl2 on the shrimp ATP'ase
system.  Activation by the addition  of CaCl2 continued as the specific activity
decreased with  increasing length of storage at  0°C. Concentrations of  MgCl2
above 10~* M completely inhibited the enzymatic activity.

    TABLE  3—EFFECTS OF STORAGE AT 0°C AND  CaCl2 ON THE SPECIFIC ACTIVITY OF
                  MYOSIN ATP'ase OF SHRIMP (Penaeus duorarum) *
Storage tim<
(hr)
1
24
48
Specific activity (CaCl2, moles/1.)

0
0-41
<0-10
<0-10

0-04
2-93
2-11
0-71

0-08
4-28
2-28
1-00

0-10
4-36
1-79
0-94

0-12
3-00
0-87
0-15
       * Assay conditions: 1-50 mg protein/assay, 0-5 M KC1, 2 mM ATP, pH 8-0,
    25°C. Values represent the average of three determinations; error was  ±10
    per cent maximum.

                                DISCUSSION
   A reduction in specific activity at concentrations above 2 mg protein per assay
suggests that protein aggregation is taking place in the manner described for rabbit
myosin (Lowey & Holtzer, 1959; Johnson & Rowe,  1961) anu  for cod myosin
(Mackie, 196'5).  Other physical properties of the structural proteins of cod and
carp, and rabbit myosin also appear to be closely related (Hamrar, 1955).  The
CaQ2 activation effect still remained,  even though me isolated enzyme system
was unstable when stored at 0°C.
   In these studies, shrimp myosin ATP'ase beha'- td similarly to  rabbit myosin
ATP'ase (Schoor & Mandelkern, unpublished results) under id'Trica! assay con~
ditions.  The range of CaCla activation arid complete loss of activity ic the presence

-------
378                             W. P. SCHOOR

of 10~4 M MgCl2 was identical in both enzyme systems.  However, differences in
the maximum activities did exist, specific activities ranging from 8 to 10 /x-equiv.
P4/g per sec in  rabbit myosin and 3-5 /^-equiv.  Pj/g per sec in shrimp myosin.
    Initial activities of the rabbit myosin  remained linear for  at least  5 min at
temperatures up to 40°C;  that  of shrimp  myosin decreased  rapidly  at  35°C.
"Total"  muscle ATP'ases show  approximately the same activity in fishes, frog,
mouse, bird and turtle at 30°C, but wide differences  occur at 0°C (Steinbach,
1949;  Davidson & Richards, 1954).
    The cold-blooded animals showed higher activities at the lower  temperatures
than did warm-blooded ones. Although these data agree well with my  findings,
it must be remembered that "total" ATP'ase activity includes actomyosin ATP'ase,
which  was not measured in this study.  Field studies have shown that pink shrimp
tolerated water temperatures of 30-31°C, appeared hyperactive  around 32°C and
at 35°C had a low survival rate (Heald, personal communication).  The same is
true for  the protozoeal stage of the pink shrimp (Thorhaug et al., 1971).  The
actomyosin  ATP'ase of crayfish (Cambarus clarkii) had an optimal  activity at
pH 7-0 at 30-35°C, the  activity quickly declining at  37°C  (Maruyama,  1958).
This temperature is somewhat higher than the maximum found for the pink shrimp
myosin ATP'ase, but parallels the higher temperatures to  which the crayfish is
exposed in its shallow water habitat.
    Even so, until the temperature dependence of other shrimp enzyme systems has
been established, it is speculative to suggest that inactivation of myosin  ATP'ase
is the  reason for the reduced survival rate of shrimp at temperatures above 32°C.
Nevertheless, observed differences in the effects of temperature on enzyme systems,
having similar functions, seem to be  a good example of adaptability of such
systems in warm- and cold-blooded animal species.
                               REFERENCES
DAVIDSON J. A. & RICHARDS A. G. (1954) Muscle apyrase activity as a function of temperature
   in the cockroach, crayfish and minnow. Archs Biochem. Biophys. 48, 484—486.
FLORY P. J. (1956) Role of crystallization in polymers and proteins. Science, Wash. 124,53-60.
HAMOIR G.  (1955) Fish proteins. Adv. Protein Chem. 10, 227-288.
JOHNSON P. & ROWE A. J. (1961) The spontaneous transformation reactions of myosin.
   Biochim. biophys. Acta S3, 343-360.
KAY C. M. & BRAHMS J. (1963) The influence of ethylene glycol on the enzymatic adenosine
   triphosphatase activity and  molecular conformation of fibrous muscle proteins.  J,
   biol. Chem. 238, 2945-2949.
LOWEY S. & HOLTZER A. (1959) The aggregation of myosin. J. Am. Chem. Soc. 81,1378-
   1383.
MACKIE I. M. (1965) The effect of adenosine triphosphate, inorganic pyrophosphate and
   inorganic tripolyphosphate on the stability of cod myosin. Biochim. biophys. Acta 115,
   160-172.
STEINBACH H. B. (1949) Temperature coefficients in muscle apyrase systems  J cell comb
   Physiol. 33, 123-131.
SZENT-GYORGYI A. (1951) Chemistry of Muscular Contraction, 2nd End., p. 146. Academic
   Press, New York.

-------
                  MYOSIN ADENOSINE TRIPHOSPHATASE OF PINK SHRIMP               379

THORAUG At, DEVANY T. & MURPHY B. (1971) Refining shrimp culture methods: the effect
   of temperature on early stages of commercial pink  shrimp.  Proc. 23rd Ann.  Session,
   Gulf and Carib. Fish Inst., pp. 125-132.

   Key Word Index—Pink shrimp (Penaeus duoraruni);  myosin ATP'ase; rabbit; tempera-
ture effects; purification; comparison.

-------
           COMPARATIVE BIOCHEMISTRY  AND  PHYSIOLOGY


  Volume 49 Number 2A                                                       1 °Ct°ber

                                                                                     PAGE

  D. J. WEIDLER, A. M. EARLE, G. G. MYERS and P. J. GARDNER : Effect of metabolic inhibition
    on  sodium ion exchange in the ventral nerve cord of Melanoplus differentials             207
  R. A. BALOGUN: Studies on the amino acids of the tsetse fly, Glossina morsitans, maintained
    on  in vitro and in vivo feeding systems                                               215
  JAMES  R. SNAPPER,  S.  M. TENNEY and  F. V. McCANN:  Observations on the  amphibian
    "diaphragm"                                                                      ^23
  H. M. SHAW and T. J. HEATH: The gall bladder of the guinea pig: its concentrating and
    contractile abilities                                                                 231
  A. M. CHERET, A. SOUMARMON, M. LEWIN, A. AMAR-COSTESEC and S. BONFILS: Comparative
    study of pyloric and fundic  acid proteases  in the guinea pig gastric mucosa: evidence for
    a pyloric pepsinogen                                                               241
  THOMAS H.  DIETZ:  Active chloride transport across the skin of the earthworm, Lumbricus
    terrestris  L.                                                                       251
  D. W.  ENGEL, E.  M. DAVIS, D. E. SMITH and J. W. ANGELOVIC: The effect of salinity and
    temperature on the ion  levels in the hemolymph of the blue  crab,  Callinectes sapidus,
    Rathbun                                                                       '   259
 W. KENNETH DERICKSON : Lipid deposition and utilization in the sagebrush lizard, Sceloporus
    graciosus: its significance for reproduction and maintenance                             267
 J.  E. MclNERNEY: Renal sodium reabsorption in the hagfish, Eptatretus stouti               273
  M. DEBORAH SMITH and PETER C. BAKER: The maturation  of indoleamine metabolism in the
    lateral eye of the mouse                                                            281
 ROBERT L. WINDERS, MARK O. PARSER, KENNETH F. ATKINSON  and FELICE MANFREDI:
    Parameters of oxygen delivery in the species Marmota flaviventris at sea level and 12 000
    feet                                                                              287
 ANDREW E. DIZON, E. DON STEVENS, WILLIAM H. NEILL and JOHN J. MAGNUSON: Sensitivity
    of restrained skipjack tuna (Katsuzoonus pelamis) to abrupt increases in temperature        291
 JOHN H. CROWE and KAREN A. MAGNUS: Studies on acarine  cuticles—II. Plastron respiration
    and levitation in a water mite                                                       301
 BRIAN  G. D'AousT and LYNWOOD S. SMITH: B»nds in fish                               311
 JOE R.  LINTON and M. S.  PHOCTOR: Isolation and characterization of melanocyte stimulating
    factors from the pituitary gland of the grey mullet, Mugil cephalus                       323
 KARIN  D. RODLAND and F. REED HAINSWORTH: Evaporative  water loss and tissue dehydration
    of hamsters in the heat                                                             331
 PAUL J. HIGGINS and CHARLES S. RAND: A comparative immunochemical study of the serum
    proteins of several Galapagos iguanids                                               347
 JOHN PATRICK STONE and WALTER CHAVIN : Response of dermal melanophores to epinephrine
    after removal of the epidermal barrier                                                357
 D. L. DAHLMAN: Hemolymph characteristics of developing  adult tobacco hornworms reared
    as larvae on tobacco leaf or synthetic diet                                            369
 TERENCE T. YEN, RAY W. FULLER and DONA VAN V. PEARSON : The response of "obese" (ob/ob)
    and "diabetic" (db/db)  mice  to treatments that influence  body temperature      -         377
 JOHN S. TUCKER and FLORENCE L. HARRISON: The incorporation of tritium in the body water
    and  organic matter of selected marine invertebrates                                    387
 IMRE Zs.-NAOY: Some quantitative aspects of oxygen consumption and anaerobic metabolism
    of molluscan tissues—A review                                                     399
J. V. BANNISTER: The respiration in air and in  water of the limpets Patella caerula (L.) and
   Patella lusitanica (Gmelin)                                                         407

-------
CONTRIBUTION NO. 164

-------
   AROCLOR©  1254:  EFFECT  ON  COMPOSITION  OF

             DEVELOPING  ESTUARINE  ANIMAL

                      COMMUNITIES  IN  THE

                            LABORATORY*


                            David J.  Hansert

    U.S. Environmental Protection Agency, Gulf Breeze Environmental Research Laboratory,
                         Gulf Breeze. Florida. U.S.A. 32561
           (Associate Laboratory of the National Environmental Research Center,
                               Corvallis,  Oregon)


                                 ABSTRACT

          Aroclor® 1254, a polychlorinated biphenyl  (PCB), affected the composition
        of communities of estuarine animals that developed from planktonic larvae in
        salt water that flowed through 10 control aquaria and 10 aquaria contaminated
        with 0.1. 1 or 10/tg/l of this PCB. Communities that developed in control aquaria
        and  aquaria that received 0.1 /xg/1 of PCB in water for four months were
        dominated O75%) by arthropods, primarily the amphipod Corophium volu-
        lalor. In aquaria receiving 1 and 10 pg/l, the  number of arthropods decreased
        and  the number of chordates, primarily the  tunicate Mogula manhallensis,
        increased; over 75% of the animals in 10 /ig/1 aquaria were tunicates. Numbers
        of phyla, species, and individuals (particularly amphipods, bryozoans, crabs,
        and mollusks) were decreased in this PCB, but there was no apparent effect
        on the abundance of annelids, brachiopods, coelenterates, echinoderms or nemer-
       teans. The  Shannon-Weaver index of  species diversity was not  altered  by
        Aroclor 1254.

                              INTRODUCTION

   Polychlorinated biphenyls (PCBs) have been manufactured  for various uses
 (Broadhurst 1972) for over 40 years, but their occurrence in aquatic ecosystems
was not confirmed until 1966  (Anonymous 1966). Since then,  PCBs have been
detected in estuarine organisms from  6 of 15 of the coastal United Slates (Butler
1973). One PCB, Aroclor 1254, was discovered in the water, sediment and biota
of Escambia Bay, Florida (D-ukeetal.  1970).
   Chronic and acute toxicity experiments conducted at the Gulf Breeze Labora-
tory have established that Aroclor 1254 is toxic to some estuarine organisms. A
concentration of 100 ju.g/1 of Aroclor was acutely toxic (48 to 96 hours) to pink
shrimp, Penaeus duorarum, and oysters, Crassostrea virginica. but not to pinfish,
Lagodon rhomboides  (Duke et al.  1970). Chronic toxicity was  up to  100 limes

  * Contribution No. 164, Gulf Breeze Environmental  Research Laboratory. ©Registered trade-
mark, Monsanto Company, St. Louis, Missouri, U.S.A. Mention of commercial products or trade
names does not constitute endorsement by  the Environmental Protective Agency.
CJiiitribuliuii!. in Mnrine Science, Vol. IS. 1974.

-------
20   David J. Hansen

greater than acute toxicity. In exposures lasting more than two weeks, 1 /ig/1 of
Aroclor 1254 killed pink shrimp (Nimmo etal. 1971 a), whereas 5 ,/xg/l killed pin-
fish  and spot, Leiostomus xanthurus (Hansen et al. 1971)  and significantly re-
duced oyster growth rate (Fairish et al. 1972), but it was not lethal to blue crabs,
Callinectes sapidus (Duke et al. 1970). Aroclor 1254 is, therefore, toxic to certain
estuarine species exposed separately. However, its effect on communities of estu-
arine animals is not known. This study reports  experiments that determine the
effect of this chemical on development of estuarine animal communities in the
laboratory.

                       MATERIALS AND  METHODS
  I investigated the effect of Aroclor 1254 on development of estuarine communities by com-
paring the number, species, and diversity of animals that grew from planktonic larvae in appar-
atuses continuously contaminated with 0.1, 1 or 10 /tg/1 of PCB for four months, 18 May to 25
September 1970, with animals from an identical apparatus that was not contaminated.
                                         SYRINGE   PUMP
                 PRIMARY  CONSTANT  HEAD   BOX
                                                           'SIPHON
                                                         /(2,300  ml/min)
       SECONDARY CONSTANT HEAD BOX
  DRAIN
                                               STAND   PIPES
                                               (200   ml/min)
   FIG. 1.—Apparatus used to test the effect of Aroclor 1254 on composition of estuarine animal
 communities.

-------
                                            PCB Affects Estuarine Communities   21

  The apparatus used in this investigation is illustrated in Fig.  1  (only one of four identical
apparatuses is shown). Sea water with its natural component of plankton was pumped from the
estuary adjacent to the laboratory into the primary constant head box. Salinity of the water
ranged from 10 to 34%0 (average, 29.7%0)  and temperature ranged from 22 to 33 C (average, 28.5
C). In contaminated apparatuses Aroclor 1254 was added to water after it was siphoned, at the
rate of 2,300 ml/min, from the primary into the secondary constant head box; the control appar-
atus received the same flow of water. Water then flowed from the secondary constant head box to
each of 10 adjacent aquaria-10 replicates for each treatment. (Treatment includes control and con-
taminated apparatuses.) Flow rate through each aquarium was maintained at 200 ml/min each
by adjusting the height of a 2.7 mm diameter hole in each of the 10 standpipes in the secondary
constant head box. Each aquarium was 44 cm long, 9 cm wide and 14 cm high. Water depth in
each aquarium was maintained at 8  cm. PCB-free sand was placed in each aquarium to a depth
of 6 cm. Planktonic larvae colonized this  sand and  the walls of the  aquaria. The siphon and
constant head boxes were cleaned weekly so that all aquaria received planktonic larvae from a
common source-the incoming water. Water leaving each aquarium flowed through a V-shaped
opening and into a common drain for the apparatus.
  Aroclor 1254, dissolved in polyethylene glycol 200, was metered by a syringe pump into the
water as it  entered the secondary constant head box  of each experimental apparatus. The same
amount of polyethylene glycol (2 ml/day, 0.68 mg/1) was metered into the control apparatus.
Solvent-induced effect was not expected because:  (1) polyethylene glycol  200 did not affect
development of two species of crabs at this concentration (Epifanio 1971); (2) concentrations up
to 1% (v/v)  were not lethal  to  grass shrimp, Palaemonetes pugio, or sheepshead minnows,
Cyprinodon variegatus, in 96 hours in static tests (Hansen unpublished data); and (3)  the toxicity
of 5 jitg/1  of Aroclor 1254 to brown  shrimp, Penaeus aztecus, and pinfish was not increased by
increasing the concentration of solvent up to 100 times (0.1 to 10.0 mg/1) (Hansen unpublished
data).
  Concentrations of Aroclor in test water and sediment were determined by gas chromatography.
Methods of analysis for water are described by  Nimmo  et al.  (1971 a) and for sediment by
Nimmo et al. (1971b), except that an OV-101 column was used. Recovery rates were above 70%,
but data in this report do not include a correction factor for recovery. Water from the secondary
constant head box of each apparatus was  analyzed  twice a month (Table  1). Concentrations
throughout this box were uniform; water from each standpipe, analyzed once during the 10 /ig/1
exposure, averaged 7.9 ^g/1 (range 6.8-8.7 /ig/1). Sediment cores from 4 of 10 aquaria from each
apparatus were analyzed at the end of the exposure (Table 1).
  At the end of the four-month exposure, animals were scraped from the side of the aquaria and
the contents of the aquaria siphoned into a 1 mm mesh sieve.  During the last three months of the
experiment, animals that left or were lost from the aquaria or were cleaned from the secondary
constant head box and the drainage area were also  collected in a  1 mm mesh sieve. Animals

                                         TABI.E 1

 Range and average concentration of Aroclor® 1254 in water and sediment from experiment and
       control apparatuses. Water was analyzed twice monthly and sediment was analyzed
         at the end of the four month experimenta. Limit of quantification was 0.1 /tg/1
                in water and 0.015 mg/kg (dry weight) in sediment. Correction
                           for recovery (>70%) is not included.

                 Concentration in water, jug/1                   Concentration in sediment, /ig/g
                                   Measured                       Measured
        Nominal              Average      Range              Average       Range
Control
0.1
1.0
10.0
None
<0.1
0.6
6.7

<0.1 -0.1
0.48-0.72
5.2 -7.8
None
0.1
0.36
2.0

0.05-0.18
0.25-0.42
1.5 -2.5

-------
                                                                                                                    to
                                                                                                                    to
                                        TABLE 2


Animals  collected from control aquaria and from aquaria contaminated for four months with

         Aroclor® 1254. Ten aquaria were used for each treatment. Number of animals
o
a

Sj

and number o
f aquana from
which they
were coil
ected are .
Listed


Aroclor 1254
Ta\on
Annelida
Armandia agilis
Capilella capilala
Cirratulus sp.
Dasybranchus sp.
Eupjrnalus dianthus
E. protulicola
Heteromastus filiformis
Laeonereis culveri
Lumbrinereis parvapedata
Marphysa sanguinea
Media mast us californ iensis
Neanthes succinea
Noiomastus hemipodus
Podarke, near guanica
Polydora websteri
Polydora sp.
Prinospio sp.
Spiophanes bombyx
Strcblospio benedicti
Capitellidae sp.
Spionidae sp.
Unidentified sp. # 1
Unidentified sp. #2
Anima

8
34
1
0
6
8
0
1
1
1
0
8
0
1
28
2
1
1
6
0
6
2
1
Control
Is Aquaria

5
10
1
0
5
4
0
1
1
1
0
6
0
1
10
2
1
1
4
0
1
2
1
0.1
Animals

11
30
0
0
8
13
0
0
0
0
0
11
0
1
35
1
2
0
7
0
0
0
0
Aquaria

4
8
0
0
6
9
0
0
0
0
0
7
0
1
10
1
1
0
4
0
0
0
0
1 f
Animals

3
34
1
1
11
5
2
0
0
0
0
12
1
0
51
1
0
0
3
0
0
2
1
Aquaria

2
9
1
1
6
4
1
0
0
0
0
6
1
0
8
1
0
0
3
0
0
1
1
10;
Animals

0
23
0
0
9
17
0
0
0
0
1
9
0
0
22
0
0
0
0
3
0
1
0
IB/I
Aquaria

0
8
0
0
6
9
0
0
0
0
1
7
0
0
4
0
0
0
0
1
0
1
0
tc
S
Total ^
animals ^

22
121
2
1
34
43
2
1
1
1
1
40
1
2
136
4
3
1
16
3
6
5
2

-------
TABLE 2—Continued
Aroclor 1254
Taxon
Arthropoda
Balanus sp.
Caprella sp.
Corophium volutalor
Neopanope texana
Upogebia affinis
Decapod larvae, unident. sp.
Pycnogonidae, unident. sp:
Brachiopoda
Gloltidia pyramidata
Chordata
Bostrichobranchus pilularis
Branchiostoma caribaeum
Molgula manhaltensis
Coelenterata
Leptomedusae', unident. sp.
Zoantharia, unident. sp.
Echinodermata
Hemipholis elongata
?Amphioplus sp.
Ectoprocta
Membranipora tenuis*
Mollusca
Abra aequalis
Amygdalum papyria
Anachis translirata
Andara iransversa
Barnea costata
Bittium varium
A:iima

6
0
1338
2
0
0
0

1

100
2
91

5
0

4
1

6

15
10
2
6
5
16
Cnnlrnl
Is Aquaria

4
0
10
2
0
0
0

1

1
1
7

5
0

2
1

6

8
6
2
4
4
7
0.1
Animals

2
11
1693
0
0
0
3

0

2
1
141

4
0

17
0

6

11
4
0
4
1
4
Aquaria

2
1
10
0
0
0
1

0

2
1
10

4
0

4
0

6

6
3
0
4
1
4
1 *
Animals

9
3
736
0
0
4
28

0

3
0
434

8
5

15
0

4

5
0
0
3
1
7
'B/l
Aquaria

6
3
10
0
0
3
6

0

1
0
9

8
3

6
0

4

5
0
0
3
1
4
10 pg/l
Animals Aquaria

2
0
3
0
1
0
1

0

29
0
499

7
0

0
0

0

0
6
0
6
1
1

1
0
3
0
1
0
1

0

5
0
10

7
0

0
0

0

0
6
0
5
1
1
Total
animals

19
14
3770
2
1
4
32

1

134
3
1164

24
5

1
36

16

31
20
2
19
8
28
                                                                               to
                                                                               S'
                                                                               o
                                                                               S
                                                                               3
                                                                               K
                                                                               to
                                                                               OJ

-------
                                                                                                                                                                             to
J.ABLE z — txxnunuea
Aroclor 1254
Taxon
Caecum pulchellum
Crassostrea virginica
Crepidula fornicata
Epitonium humphreysi
Laevicardium mortoni
Lyonsia hyalina
Mactra fragilis
Mitrella lunata
Modiolus americanus
M. demissus
Mulinia lateralis
Musculus lateralis
Nassarius albus
N. vibex
Ostrea equestris
Retusa canaliculata
Rissoina catesbyana
Tagelus divisus
Tellina alternata
Eolidacea, unident sp.
Gastropoda, unident. sp.
Nemertea
Oerstedia dorsalis
Unidentified sp.
Control
Animals Aquaria
0
4
0
0
9
2
0
2
1
1
5
7
1
0
1
1
1
0
9
1
2

2
1
0
3
0
0
5
1
0
2
1
1
3
4
1
0
1
1
1
0
7
1
1

2
1
0.1
Animals
2
5
0
0
3
1
1
0
0
1
0
3
0
0
0
0
0
1
3
0
0

0
0
Ag/1
Aquana
2
4
0
0
3
1
1
0
0
1
0
2
0
0
0
0
0
1
3
0
0

0
0
Animals
0
4
0
1
2
1
1
1
1
2
1
2
2
1
1
0
0
1
7
0
0

0
0
Aquaria
0
3
0
1
2
1
1
1
1
1
1
1
2
1
1
0
0
1
7
0
0

0
0
10 ii
Animals
0
4
3
0
4
0
0
0
1
0
0
3
0
0
0
0
0
0
1
0
0

0
0
Aquaria
0
4
3
0
3
0
0
0
1
0
0
2
0
0
0
0
0
0
1
0
0

0
0
Total
animals
2
17
3
1
18
4
2
3
3
4
6
15
3
1
2
1
1
2
20
1
2

2
1
R
S:
B
§
§





















Colonies: Counted as one animal.

-------
                                       PCB Affects Estuarine Communities  25

retained by the sieve were placed in fingerbowls of seawater, relaxed with HgCl2, preserved in
50% isopropanol and identified.
  To determined effect of Aroclor 1254 in each treatment, an index of species diversity as well
as the number and percent occurrence of various species in each treatment (contaminated and
control aquaria)  were compared. A species diversity  index provides  a numerical means of
assessing community structure that is independent of sample size, expresses the relative impor-
tance of each species and is dimensionless. Modifications of the Shannon-Weaver (1963 formula,
        B
H' = — S Pjlogp,, where PJ is the proportion of the ith species in the collection and s = the
number of species, have been  used in freshwater  (Wilhm and Dorris 1968)  and saltwater
(Bechtel and Copeland 1970) to assess effects of pollution on natural communities. In unpolluted
areas, many species of animals are abundant and diversity is high, but pollution can decrease
diversity by making a few species very abundant and all others rare. In this study, the Shannon-
Weaver formula  (Iog2) was used to determine the usefulness of the species diversity index in
assessing the effect of Aroclor 1254 on community structure in laboratory experiments.
  Pooled data from each Aroclor concentration and control were compared statistically using the
X2 test for independent samples. Data from each of the 10 aquaria receiving one treatment were
compared with data from 10 aquaria receiving a different treatment using the Mann-Whitney
"U" test (Siegal 1956). Differences were considered real at a = 0.01.

                                  RESULTS

   A large number and variety of animals were found in all aquaria (Tables 2 &
3). Of the 67 species from nine phyla, 27 were mollusks (15 pelecypods and 12
gastropods), 23 annelids,  6 arthropods, 3 chordates, 2 coelenterates, 2 enchino-
derms, 2 nemerteans, 1 brachiopod and 1  bryozoan.  Anthropods were most abun-
dant (3,842) of the 5,897 animals followed by chordates (1,302), annelids (448),
mollusks (219) and animals  from other phyla  (86). The two most abundant
animals were  the amphipod, Corophium volutator (3,770), and the tunicate,
Molgula manhattensis (1,164).
   Species composition and abundance of individual species varied among the 40
aquaria. The number of species in each aquarium ranged from 5 to 23 (average
13). Annelids  and mollusks were present in all aquaria. Animals  from other
phyla were present in from 1  to 36 aquaria  (Table 3). Seventeen species were
found in all treatments and 26 were in only one.
   Aroclor 1254 prevented animals of certain phyla from colonizing (Table 3).
Although nine phyla  were found, the  number of phyla represented in any
aquarium ranged from three to seven. The number of phyla in the control,  0.1
and 1 /ig/1 aquaria averaged 5.7, 5.4 and  5.7, respectively. Fewer phyla, average
4.1, were in aquaria contaminated with 10 jug/1 of Aroclor because fewer aquaria
contained arthropods, and none contained bryozoans.
   The total number of species found in each apparatus ranged from 2'". to 52 but
the percentage of species  in each phylum  was similar in all  four treatments
(Table 4). In each apparatus, more species of mollusks were found than species
from any other phylum. The relative numbers of molluscan species ware similar
for all treatments (40—44 percent). The number  of  annelid species was only
slightly  less (29-35 percent). Although fewer arthropods and cbordstes  were
found, the relative numbers of each were similar in all treatments.

-------
26   David J. Hansen
                                        TABLE 3
  Number of control and experimental aquaria that contained animals, by phylum. Ten aquaria
         were used for each control and contaminated apparatus. Experimental aquaria
             were contaminated continuously with Aroclor 1245 for four months.
Phylum
Annelida
Arthropoda
Branchiopoda
Chordata
Coelenterata
Echinodermata
Ectoprocta
Mollusca
Nemertea
Total phyla in apparatus
Average number of phyla per aquarium
Control
aquaria
10
10
1
7
5
3
6
10
3
9
5.7
Aroclor 1254 aquaria
0.1 W5/1
10
10
0
10
4
4
6
10
0
7
5.4
l.O/ig/1
10
10
0
9
9
6
4
10
0
7
5.7
10.0/ig/l
10
4
0
10
7
0
0
10
0
6
4.1
                                        TABLE 4

 Number of species, by phylum, that developed from planktanic larvae in control apparatus and in
          apparatuses contaminated continuously for four months with 0.1, 1 or 10/tg/l
                   of Aroclor 1254. Each apparatus consisted of 10 aquaria.
Aroclor 1254
Taxon
Annelida
Arthropoda
Chordata
Mollusca
Other phyla
Total
Control
Number Percent
18
3
3
21
7
52
34.6
5.8
5.8
40.4
13.4
100.0
0.1 jug/1
Number Percent
10
4
3
14
3
34
29.4
11.8
8.8
41.2
8.8
100.0
i pg/l
Number Percent
14
4
2
19
4
43
32.6
9.3
4.6
44.2
9.3
100.0
10 /.g/l
Number Percent
8
4
2
10
1
25
32.0
16.0
8.0
40.0
4.0
100.0
                                        TABLE 5

 Number of species, by phylum, that developed from planktonic larvae in 10 control aquaria and
            10 aquaria in each apparatus contaminated continuously for four months
                           with 0.1, 1 or 10 /ig/1 of Aroclor 1254.
Aroclor 1254
Control
Average

Taxon
Annelida
Arthropoda
Chordata
Mollusca
Other phyla
Total
number per
aquarium
5.7
1.6
0.9
6.3
1.8
16.3

Range
2-10
1-2
0-3
2-10
0-3
7-23
0.1
Average
number per
aquarium
5.1
1.4
1.3
3.6
1.4
12.8
Ag/l 1 .0 /ig/1
Average

Range
3-7
1-4
1-2
1-7
0-3
9-18
number per
aquarium
4.5
2.8
1.0
3.9
2.1
14.3

Range
2-6
2-4
0-2
1-6
1-4
7-18
10.0 Mg/1
Average
number per
aquarium
3.9
0.6
1.5
2.7
0.7
9.4

Range
3-5
0-3
1-2
1-5
0-1
5-15

-------
                                     PCB Affects Estuarine Communities  27

  The number of species in each aquarium of an.apparatus was altered by Aro-
clor 1254 (Tables 2 & 5). The total number of species and the number of species
from each phylum in the ten control, 0.1 and 1 /Ag/1 contaminated aquaria were
similar. However, there were significantly fewer species and the species compo-
sition differed in the ten aquaria contaminated by 10 /ig/1 of the PCB. The  great-
est  shifts in species  composition were found in arthropods, bryozoans, and mol-
lusks. Although there were significant reductions in the number of molluscan
species in the 10 /Ag/1 aquaria, there was no difference in the gastropod—pelecy-
pod ratio.
  The total number of animals in each aquarium  did not differ significantly
among the four treatments; whereas the number and percentage occurrence of
species was markedly different (Tables 2 & 6). Arthropods (primarily the tube-
dwelling amphipod, Corophium volutator) were the dominant animals in  the
control (76 percent) and 0.1  /j.g/1 PCB (84 percent) aquaria. In these aquaria,
chordates (primarily Molgula manhattensis) were secondarily abundant.  Arth-
ropods were  also abundant (55 percent)  in aquaria that received 1 /ig/1  but a
significant decrease in their abundance and an increase in abundance (31 per-
cent)  of chordates occurred. Dominance was different in aquaria contaminated by
10 |itg/l; 80 percent of the animals were chordates. This difference from commun-
ities dominated by arthropods in control aquaria and in aquaria contaminated
by  0.1 ju.g/1 of Aroclor 1254 to communities dominated by chordates in aquaria
receiving the highest concentration of this PCB was  the most striking  PCB-
induced effect in this experiment.
  The abundance of animals of  other phyla, although less striking, was also
altered by PCB. There were more mollusks in the control aquaria than in treated
aquaria, but the percentage of their occurrence was not different in the PCB
environments. Colonies of the encrusting bryozoan, Membranipora tenuis, were
not counted, and therefore their numbers are not adequately represented in  Table
6. However,  their exclusion from the  ten aquaria contaminated  with 10 /j.g/1
was significant. Abundance of polychaetes was not altered by any of the three
concentrations of PCB.
  The Shannon-Weaver (1963) index of species diversity calculated for each
aquarium did not differ among the control and three contaminated apparatuses
(Table 7). Species diversity is a function of two components, richness  (number
of species) (Table 5) and equitability or relative number of each species (Table
7)  (Lloyd and Ghelardi 1964). In my study, species diversity is not correlated
(r = 0.094) with richness of  species but is correlated (r — 0.882)  with relative
abundance of each species: J- = calculated diversity-^ maximum diversity (Pielou
1966). (Maximum diversity is defined as species diversity where all species are
equally abundant.)  Equitability did not differ between treatments because com-
munities in this study were usually dominated by one species and were not rich
in species. Therefore, the effect of Aroclor was not on species diversity but on
species composition.

-------
                                                                                                                                               to
                                                                                                                                               00
                                                                                                                                               O
                                                                                                                                               a
                                                                 TABLE 6
Average number per aquarium and average percent frequency per aquarium, of animals, by phylum (range in parentheses), that developed from
             planktonic larvae in 10 control aquaria and 10 aquaria that for four months received 0.1, 1 or 10 /tg/1 of Aroclor 1254.
   Phylum
                                                                                       Aroclor 1254
      Control
Number      Pez-centage
       o.i neA
Number      Percentage
Number      Percentage
                                                                                                                      10 /tg/1
                                                                                                               Number     Percentage
                                                                                                                                               a
                                                                                                                                               3
Annelida        11.6(3-23)   6.5(1.8-21.4)
Arthropoda     134.6(6-406) 75.8(12.7-94.0)
Oiordata        19.3(0-112) 10.9(0-64.7)
Mollusca        10.1(3-18)   5.7(0.7-28.6)
Other phyla       2.0(0-4)     1.1(0-7.1)
Total           177.6(14-432)    100.0
                              11.9(4-21)    5.8(1.3-42.8)    12.8(7-22)   9.0(3.9-38.5)
                             170.9(14-528) 83.6(28.6-96.2)   78.0(8-199) 54.9(20.5-86.9)
                              14.4(1-52)    7.0(0.6-19.4)    43.7(0-130) 30.8(0-59.1)
                               4.4(1-10)    2.2(0.8-12.2)     4.4(1-9)    3.1(1.3-33.3)
                               2.7(0-11)    1.4(0-6.5)       3.2(1-7)    2.2(0.9-7.7)
                             204.3(49-589)     100.0       142.1(24-239)    100.0
                                                         8.5(5-16)  12.9(5.3-66.7)
                                                         0.7(0-4)    1.1(0-2.8)
                                                        52.8(3-160) 80.4(25.0-88.6)
                                                         3.0(1-6)    4.6(1.9-9.0)
                                                         0.7(0-1)    1.0(0-3.6)
                                                        65.7(12-186)    100.0

-------
                                        TABLE 7


Shannon-Weaver index of species diversity and index of species richness in the ten control aquaria

             and ten aquaria contaminated with 0.1,1 or 10 /ig/1 or Aroclor 1254.

Species diversity
Equitability (J)
Mean
1.80
0.47
Control
Range Std. error
0.57-2.83 0.24
0.14-0.89 0.07

Mean
1.42
0.38

0.1 yltg/1
Range
0.36-3.17
0.10-0.81

Std. error
0.26
0.07

Mean
2.07
0.55
Aroclor 1254
l.O^g/1
Range
0.94-3.26
0.25-0.86

Std. error
0.20
0.06

Mean
1.62
0.53

10.0 jug/1
Range
1.03-2.19
0.26-0.94

Std. error
0.13
0.06
                                                                                                                    to
                                                                                                                    o

                                                                                                                    1
                                                                                                                    3

                                                                                                                    §
                                                                                                                    to
                                                                                                                    to

-------
30   David J. Hansen

                                         TABLE 8
    Species and total number of animals collected from the effluents of 10' control aquaria and
          10 aquaria contaminated for four months with 0.1, 1 or 10 /ig/1 Aroclor 1254.
Taxon
Annelida
Eupomatus dianthus
E. protulicola
Neanthes succinea
Total
Arthropoda
Balanus sp.
Caprella sp.
Clibanaris tricolor
Ccrophium volutator
Eurypanopeus depresus
Neopanope texana
Pagurus longicarpus
Pinnixa chaetopterana
Upogebia affinis
Decapod zoea, unident. sp.
Portunidae, unident. sp.
Pycnogonidae, unident. sp.
Total
Chordata
Bostrichobranchus pilularis
Branchiostoma caribaeum
Molgula manhattensis
Total
Coelenterata
Leptomedusae*, unident. sp.
Echinodermata
Hemipholis elongata
Ectoprocta
Membranipora tenuis*
Mollusca
Anadara ovalis
A. transversa
Bittium alternata
B. varium
Crassostrea virginica
DoridelLx obscura
Laevicardium mortoni
Mitrella lunata
Musculus lateralis
Nassarius albus
Tagelus divisus
Eolidacea, unident. sp.
Total
Totals: Animals
Species
Control

1
0
1
2

10
0
0
7
5
10
1
1
1
0
2
0
37

3
1
72
76

1

1

1

1
12
0
3
2
12
1
2
1
2
1
1
38
156
27
0.1 us/I

1
1
2
4

2
8
1
15
2
6
0
0
1
0
1
0
36

0
0
103
103

1

0

1

0
0
1
,0
0
1
0
0
0
0
2
1
5
150
18
1 Mg/l

0
1
2
3

2
4
0
32
5
3
0
0
0
1
0
3
50

0
1
304
305

1

3

1

0
4
0
1
1
2
0
2
1
0
0
1
12
375
20
10/ig/l

0
0
0
0

1
0
0
1
0
0
0
0
0
0
0
0
2

0
0
35
35

1

0

0

0
1
0,
0
1
1
0
2
0
0
0
3
8
47
10
     Colonies: Counted as one animal.

-------
                                    PCB Affects Estuarine Communities  31

  Conclusions based on abundance and diversity of animals collected at the end of
the four-month exposure were corroborated by the abundance and diversit)- of
animals that migrated from and were washed from each apparatus during the
exposure (Table 8). The total number of animals and species from aquaria with
10 jU.g/1 was markedly lower than  those from  the  other aquaria. Arthropods
were abundant in collections from the effluents  of control aquaria and aquaria
with 0.1 and 1 /j.g/l but rare from the aquaria with 10 ju.g/1. The effect of Aroclor
on crabs collected from the aquaria could not be assessed at the end of the expos-
ure because only two were found in  all aquaria.  However, presence of exoskele-
tons in seven of 10 control, six of 10  0.1 /j.g/1 and eight of 10 1 jj.g/1 aquaria and
absence of exoskeletons in the 10 /u.g/1 aquaria strongly suggest that crabs were
sensitive to the highest concentration of Aroclor 1254. This sensitivity was sub-
stantiated by collections of crabs from the effluents of the aquaria. Eurypanopeus,
Neopanope, Pinnixa and portunids were abundant in effluents of control,  0.1 and
1 ju.g/1 aquaria but absent from the effluent of the 10 ^g/1 aquaria. The bryozoan,
M. tenuis, was absent in the effluent from the 10 jug/1 aquaria, but present in the
effluent from the other aquaria. Mollusks were most abundant  in effluent from
the 10 control aquaria.

                   DISCUSSION AND CONCLUSIONS

  The  polychlorinated biphenyl,  Aroclor 1254.  influenced the composition of
animal communities that developed from planktonic larvae in sea water which
entered the test aquaria. The primary influence was that the dominant species in
the control aquaria was the amphipod, C.  volutator, and the dominant species in
aquaria receiving 10 /ug/1 PCB was  the tunicate, M. manhattensis. Also, there
were fewer species and the number of animals was markedly but not significantly
fewer in the 10 ju.g/1 aquaria. The abundance of arthropods, chordates, bryozoans
and mollusks differed significantly but abundance of annelids, brachiopods, coel-
entrates, echinoderms or nemerteans  apparently did not differ.
  Differences in community structure that were apparent at the lowest concen-
tration (0.1 /tig/1) became more pronounced as the concentration of Aroclor 1254
increased to 10 fj.g/1- Control aquaria were dominated by arthropods (76 percent).
with lesser numbers of animals from eight  other phyla. Aquaria contaminated
by 0.1, 1 or 10 /xg/1 contained fewer mollusks than did control aquaria; however,
the  percentage occurrence  of mollusks was not altered by the PCB. Aquaria
receiving 1 /xg/1 or 10 /ig/1 had more tunicates and fewer arthropods than did con-
trol aauaria. Aquaria receiving 10 ju.g/1 were dominated by tunicates (80 psrcent)
with lesser numbers of five other phyla; only 1 % of the animals were arthropods.
Animals most reduced in numbers  at the highest PCB concentration included
the amphipod, C. volutator;  the xanthid crabs, Eurypanopeus dcpressus and Neo-
panope texana; the bryozoan, M. tenuis; the gastropod. Bittium  varium. and the
pelecypods, Abra aequalis and Tellina alternata.
  Few of these changes could have been predicted from information from current
literature, because only one species in this study  had  been challenged  previously

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32  David J. Hansen

•with PCB and only a few are phylogenetically related to previously challenged
species. Arthropods, particularly amphipods and crabs were sensitive to Aroclor
1254 in this experiment and in the experiments by Nimmo et al. (1971 a) in
which  pink  shrimp were killed by 1 /xg/1. Juvenile blue crabs appeared resistant
to 5 jug/1  (Duke et al. 1970). In my experiment, the numbers of xanthid crabs
was reduced by 10 ju.g/1 indicating that larval stages may be particularly sensitive
to PCBs. Sensitivny of crab larvae has been shown with the insecticides dieldrin
(Epifanio 1971) and  mirex (Bookhout et al. 1972). Aroclor 1254 was lethal to
two estuarine fishes at 5 /ug/1 (Hansen et al. 1971) but in this study lower chord-
ates (tunicates) seemed  unaffected and were most abundant in the PCB-stressed
communities. Lethal effects of PCBs on mollusks are not known. However, growth
of oysters  was reduced significantly without mortality by 5 ^g/1 of Aroclor 1254
(Parrish et al. 1972).  In my experiment fewer mollusks occurred in all exposure
concentrations possibly because the larval stages are sensitive or because of  fac-
tors other than the presence of Aroclor. Studies on protozoans  (Cooley, Keltner
and Forester 1972) provided the only other data I am aware of on the sensitivity
of estuarine animals of other phyla to PCBs.
   The Shannon-Weaver species diversity index has been used as an indicator of
the effects of some types of pollution on animal communities in estuaries, but in
this experiment, the index was not decreased even though composition of the com-
munities were greatly altered.  This species diversity index did not decrease as
the concentration  of PCB increased  because the index was proportional to the
relative number of each species present in the aquaria, and communities that
developed at each treatment concentration were dominated by one species of
animal. If Aroclor 1254 affected the composition of established communities in
an estuary as it did the  developing communities in this experiment, this species
diversity  index could not be used to estimate effects of this  pollutant in the
environment.
   One purpose of this experiment was to  determine whether the effect of a  tox-
icant on developing estuarine animal communities can be investigated in the  lab-
oratory. Preliminary  experiments at this laboratory indicated that the structure
of communities of organisms setting in aquaria was  altered by presence of the
insecticide Dursban®  (J. I. Lowe, personal communication2). My analysis of his
data indicated that replicate aquaria were necessary to separate the effects  of a
toxicant from the effects of an efficient predator or from the effects of an animal
with great reproductive  capacity. The use of ten replicate aquaria for each treat-
ment in my experiment readily separated the  effect of Aroclor 1254 from other
factors that might influence community structure. My experiment also  showed
that small aquaria can be used, provided that larger animals can emigrate before
they drastically affect community structure and thus mask effects of the toxicant.
Emigrating animals must be caught and enumerated so the effects on them can
be assessed.

  - Mr.  Jack I. Lowe, Environmental Protection Agency, Gulf Breeze, Fla. 32561.
  ® Registered trademark: Dow Chemical Co.

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                                           PCB Affects Estuarine Communities  33

                              ACKNOWLEDGMENTS

  I am grateful to Mr. Edward Matthews, who helped during the four-month experiment, and
to Mr. Johnnie Knight, who prepared water and sediment samples for chemical analysis. I am
particularly indebted to Dr. Nelson R. Cooley, because identification of the numerous species of
animals would have been most difficult without his help.


                               LITERATURE  CITED

ANONYMOUS.  1966.   Report of a new chemical hazard. New Scient. 32: 612.
BECHTEL, T. J. and B.  J. COPELAND.  1970.  Fish species diversity indices as indicators of
    pollution in Galveston Bay,  Texas. Conir. mar. Sci. Univ. Tex.  15: 103-133.
BOOKHOUT, C. G., A. J. WILSON, JR., T. W. DUKE and J. I. LOWE.  1972.  Effects of Mirex
    on the larval development of two crabs. Water, Air and Soil Pollut. 1: 165—180.
BROADHURST, M.  G.   1972.   Use and replaceability of PCBs. Environ. Health Perspectives.
    2: 81-102.
BUTLER,  P.  A.  1973.   Organochlorine  residues in estuarine mollusks—1965-1972. Pestic.
    Monit. J. 6 (4).
COOLEY, N. R., J. M. KELTNER, JR. and J. FORESTER.  1972.  Mirex and Aroclor® 1254:
    Effect on and accumulation by Tetrahymena pyriformis strain W. /. Protozool.  19: 636-638.
DUKE, T.  W.,  J. I. LOWE and A.  J. WILSON,  JR.  1970.  A polychlorinated biphenyl
    (Aroclor 1254®) in the water, sediment and biota of Escambia Bay, Florida. Bull. Environ.
    Contam. Toxicol. 5: 171-180.
EPIFANIO, C. E.  1971.  Effects of dieldrin in seawater  on  the development of two species of
    crab larvae, Leptodius floridanus and Panopeus herbstii. Mar. Biol. 11(4): 356-362.
HANSEN, D. J., P. R. PARRISH, J. I. LOWE, A. J. WILSON, JR. and P. D. WILSON.   1971.
    Chronic toxicity, uptake and retention of Aroclor® 1254 in two estuarine fishes. Bull.
    Environ. Contam. Toxicol. 6: 113-119.
LLOYD, M. and R. J. GHELARDI.   1964.   A table for calculating the equitability  component
    of species diversity. /. Anim. Ecol. 33: 217-225.
NIMMO, D. R, R. R. BLACKMAN, A. J. WILSON, JR. and J. FORESTER.  1971 a.  Toxicity
    and distribution of Aroclor® 1254 in the pink shrimp Penaeus duorarum. Mar. Biol. 11(3):
    191-197.
NIMMO, D. R., P. D. WILSON, R. R. BLACKMAN and A. J. WILSON, JR.  1971b.  Poly-
    chlorinated  biphenyl absorbed from sediments by fiddler crabs and pink shrimp. Nature,
    Land. 231: 50-52.
PARRISH, P. R., J. I. LOWE, A. J. WILSON, JR. and J. M. PATRICK, JR.   1972.  Effects of
    Aroclor® 1254, a PCB, on oysters, Crassostrea virginica  (Bivalvia: Protobranchia:  Ostreidae).
    ASBBull. 19(2): 90.
PIELOU,  E. C.  1966.  The measure of diversity in different types of  biological  collections.
    J. Theor. Biol. 13: 131-144.
SHANNON, C.  E. and W.  WEAVER.   1963.  The mathematical theory of  communication.
    University of Illinois Press, Urbana.
SIEGAL, S.  1956.   Non Parametric Statistics for the Behavioral Sciences. McGraw-Hill Book
    Co., Inc., N.Y. 312 p.
WILHM, J. L.  and  T. D. DORRIS.  1968.  Biological parameters for water  quality criteria.
    B ioScience \ 8 (6): 47 7-481.

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CONTRIBUTION NO. 165

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                  THE MICROBIAL DEGRADATION OF OIL POLLUTANTS
ESTUARINE MICROBES  AND ORGANOCHLORINE  PESTICIDES
(A  BRIEF  REVIEW)1

A.  W.  BOURQUIN

Gulf  Breeze Environmental  Research  Laboratory2
U.S.  Environmental  Protection Agency
Gulf  Breeze,  Florida   32561


        Little is  known about  microbiological degradation of organochlorine
pesticides in the  estuarine and oceanic  environments.  Since mircoorganisms
are probably the main instruments of  pesticide breakdown, and possibly offer
an array of mechanisms by which pollution  may be reduced, research is needed
to learn the pathways of microbial degradation in the marine environment.

        Table 1  lists a number of microorganisms, chiefly soil  and aquatic,
with demonstrated  ability to  partially degrade organochlorine pesticides  in
various environments.  An excellent review of the interaction between haloge-
nated pesticides and microorganisms has  been given by Pfister and Matsumura
(28).   Lichtenstein and Schulz (18) found  that soil  bacteria converted aldrin
to its more stable epoxide, dieldrin; the  peak of dieldrin formation  occurred
56 days after treatment.   A bacterium, Proteus vulgaris, isolated from the
gut of a mouse,  converted DDT  to ODD  (k) and some soil actinomycetes  degrade
polychloro-nitrobenzene (PCNB) and dechlorinate DDT (8).  Most of the reports
listed in Table  1  were concerned with pure cultures and few involved  more
than one or two  step transformations.  However, other investigators have re-
ported extensive degradation  by soil microorganisms leading to speculation
that biodegradation could result  in mineralization of organochlorine  compounds
in the presence  of certain microbial assemblages and environmental parameters.
Bixby et al.  (6) reported a soil fungus, Tr-ichoderma koningi, which degraded
dieldrin to carbon dioxide with cleavage of the chlorinated ring structure.
Focht (10)  reported that an aquatic fungus, isolated from sewage effluent,
metabolized chlorinated bacterial degradation products to water, carbon di-
oxide,  and hydrochloric acid.
        Many soil  microorganisms also occur in water, thus environmental  re-
lationships and  microbial associations similar to those in soil may exist.
The essential differences between terrestrial and aquatic environments rela-
tive to microbial  activity appear to  be:   (a) usually fewer nutrients per
unit mass and less biochemical activity  are found in water than in soil, and
(b) usually fewer  adsorptive  surfaces for  microbial  growth in water than  in
soil.   Reports have indicated  that fresh surface waters do not have a charac-
teristic bacterial flora (12).  However, certain microorganisms, such as
Beneckea and Caulobacter, have been designated as typical marine or estuarine
genera.  Differences between  estuarine,  freshwater, and soil ecosystems make
         1 Gulf Breeze Contribution  No.  165.

         2 Associate Laboratory of the National Environmental Research Center,
Corvallis, Oregon.

                                     237

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                                             TABLE 1

                  Microorganisms Known to Metabolize Organochlorine Pesticides
Genera
Pesticides
                                                 Environment
                                                           Reference
                                                    (see Literature Cited)
 Bacter ia
  Artfoobaater
  Bacillus
  Clostridium
  Esaherichia
  Hydrogenomonas
  Klebsiella
  Miarooooaus
  Proteus
  Pseudomonas spp.
  Ps eudomonas spp.
  Pseudomonas spp.
  Un identif ied

  Unidentified
Actinomycetes
  Nooardia
  Streptomyaes

Fung i
  Aspergillus
  Fusarium
  Muoor
  Triehoderma

Yeast
  Saaaharomyces

Algae
  Ch lamydomonas
  Chlorella and
    Dunaliella
 Endrin,  DDT
 Endrin,  DDT
 Lindane
 DDT
 DDT
 DDT
 Endrin,  Aldrin, DDT
 DDT
 Endrin,  Aldrin, DDT
 Heptachlor
 Dieldr in
 Dieldr in, Aldrin,
   Endrin, DDT
 Lindane, Aldrin


 DDT, PCNB
 PCNB


 PCNB
 DDT
 Dieldr in
 Dieldrin


 DDT


 Lindane
Aldrin
                     Soi1-aerobic
                     Soi1-aerobic
                     Aquatic-anaerobic
                     Aquatic-anaerobic
                     Aqua t i c-a na erob i c
                     Aquatic-anaerobic
                     So i1-aerobic
                     Aquatic-aerobic
                     Soi1-aerobic
                     Aquatic-aerobic
                     Soi1-aerobic
                     Marine-aerobic

                     Soi1-aerobic


                     Soi1-aerobic
                     Soi1-aerobic


                     Soi1-aerobic
                     Aquatic-aerobic
                     Soi1-aerobic
                     Soi1-aerobic
Patil et al., 1970 (25)
Patil et al., 1970 (25)
McRae et al., 1969 (19)
Mendel and Walton, 1966 (22)
Focht, 1972  (10)
Wedemeyer, 1966 (32)
Patil et al., 1970 (25)
Barker et al., 1965 (*»)
Patil et al., 1970 (25)
Bourquin et al., 1971   (7)
Matsumura et al.,  1968 (21)
Patil et al., 1972 (27)

Lichtenstein and Schulz, 1959  (18)

Chacko et al  ., 1966 (8)
Chacko et al., 1966 (8)

Chacko et al., 1966 (8)
Focht, 1972  (10)
Anderson et al., 1970  (3)
Bixby et al., 1971 (6)
                                                                                                         to
                                                                                                         TO
                                                                                                         to
                                                                                                         o
                                                                                                         o
                                                                                                         TO
                                                                                                         03
                                                                                                         v.
                                          Aquatic-anaerobic     Kallerman and Andrews, 1968 (16)
                                          Aquatic-aerobic
                                          Mar ine-aerobic
                                           Sweeney,  1968 (31)
                                           Patil  et  al., 1972 (27)

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                 THE MICROBIAL DEGRADATION OF OIL POLLUTANTS


the estuarine area a unique environment for study of microbial  degradation.
Because of this uniqueness, data from soil and freshwater ecosystems  cannot
necessarily be extrapolated to estuarine systems.  Therefore,  research  is
needed to learn more about degradation pathways in the marine  environment.

        Several investigators have reported that degradation of pesticides by
aquatic microorganisms is similar to degradation by soil  microorganisms.
Miles et al. (2k)  reported that soil microorganisms metabolized heptachlor to
l-hydroxy-2,3-epoxychlordene.  Bourquin et al. (7) reported similar  results,
and proposed a pathway for microbial transformation of heptachlor  in  the
aquatic environment.  Metabolism of DDT occurs in soil, freshwater, and  lake
sediments (26).  The similarity of transformations of these compounds may be
due to similarity of microflora in the different environments.   However, mi-
crobial differences as well as environmental  factors exist between aquatic
and terrestrial ecosystems.  For example, most cultivated soils to which  in-
secticides are applied are more aerobic than  aquatic sediments. Although DDT
is converted to ODD and other products in anaerobic systems, it is stable  in
aerobic systems (2,13).
        Estuarine sediment is a reservoir for  pesticides  transported  by
rivers.  Because organochlorine pesticides are strongly sorbed  on  soil and
other particulate material (30), including microorganisms (17), they  are
found on suspended particulates in rivers and  are incorporated  into estuarine
sediment (2).  These sediments are often enriched by decomposing organic mat-
ter and are anaerobic beneath the surface. Although the  rate of carbon  turn-
over due to microbial  activity in the sea may  not be substantially different
from that in fresh water, estuaries are areas  of rapid microbial transforma-
tions (35).  The latter play an important role in estuarine nutrition.
        Biodegradation of organochlorine pesticides in estuarine or oceanic
environments has been little studied despite  the known persistence of the
pesticides.  Patil  et al. (27) studied microbial metabolic transformations of
DDT, dieldrin, aldrin, and endrin in samples  of marine water,  bottom  sedi-
ments, and surface films.  Transformations of  DDT and cyclodiene insecticides
occurred in samples with biological materials  such as surface  films,  plankton,
and algae, but not in waters from the open ocean.  Pure cultures of  marine
microorganisms also metabolized the pesticides.   l-n general, patterns of deg-
radation that have been observed in terrestrial and aquatic ecosystems closely
resemble those found for the marine environment (27).  For example,  production
of 6,7-t-dihydroxy-dihydro-aldrin was the major metabolite found in  soil
fungi (20), in an aquatic bacterium (33), in  algal cultures (5), and in pure
cultures of marine algae, bacteria, and surface films (27).  Similar results
were obtained from aldrin, endrin, and DDT, except that algal  cultures ap-
peared to convert DDT to a "DDOH-like compound" (2,2-bis (p-chlorophenyl)).
The strong degradation activity associated with surface films   is significant.
Surface films are areas of high biological activity (9) and concentrators of
dissolved organics (3*0 and pesticides (29).   Such films provide the environ-
ment necessary for selection of hydrocarbon-degrading microorganisms and a
relatively high nutrient concentration for proliferation of cells.  Presence
of pollutants, crude oil or pesticides,  in an already enriched area  of micro-
bial activity may select for hydrocarbon-degrading microorganisms.

        The organically-enriched estuarine environment provides an opportunity
for study of co-metabolism of pesticides by microorganisms.  As noted by Focht

                                     239

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              Center for Wetland Resources, LSU-SG-?3-013 1973

and Alexander (11), "Co-metabol ism is the adventitious biological  transforma-
tion of organic compounds which provides neither energy nor structural  com-
ponents to the organism."  Many bacteria break down certain compounds while
metabolizing other substrates but do not utilize the co-substrate as a source
of energy or carbon for growth.   Relevance of this phenomenon to natural  soil
ecosystems was noted by Horvath and Alexander (15).  Focht and Alexander (11)
demonstrated degradation of DDT by sewage bacteria that grew on diphenyl-
methane, an analogue of DDT.  Co-metabolism has not been reported in the es-
tuarine environment.  Natural conditions, however, predispose estuaries to
such metabolism because of the large microbial communities that exhibit a
wide variety of physiological activities.  These include degradation of rela-
tively recalcitrant large molecular weight compounds such as complex polysac-
charides and some petroleum products (1,23)-
        Synergism within the microbial  ecosystem,  including bacteria, yeasts
and fungi, in the estuarine environment is another factor to consider when
studying breakdown of pesticides.  In the soil,  microorganisms act synergis-
tically to degrade molecules considered resistant  to attack by single species
(1A).  However, in estuarine and oceanic environments,  such complex interre-
lationships among microorganisms have not been investigated adequately.
Studies of interactions of estuarine microbial assemblages can provide impor-
tant data for understanding microbial  degradation  in estuarine systems.

        Estuaries, periodically flushed by tides,  provide the near shore poi —
tions of the open ocean with many organic nutrients in  solution or in the
form of partially degraded organic detritus.   Organic matter from estuaries
and other biologically productive waters often forms a  slick, or calm streak,
on a rippled sea.  As noted, surface slicks are areas of high biological  ac-
tivity and could provide nutrients necessary for co-metabolic transformation
of pesticides in off-shore marine locales.   Microbiology of naturally occur-
ring surface slicks and oil slicks caused by spills or  seepage is an impor-
tant but neglected area of estuarine research.

        Pathways of microbial attack upon chlorinated hydrocarbons in the es-
tuarine environment need to be investigated since  breakdown by microorganisms
is probably the main natural process of pesticide  degradation.   Although mi-
crobiological processes might reduce environmental  pollution attributed  to
use of persistent pesticides, detailed  studies of  degradative pathways  are
required to assess the degree of hazard caused by  breakdown products.  Re-
quired information on microbial  degradation of organochlor ine pesticides in
estuaries will be supplied when we answer the following questions:

        What types of microorganisms are involved  in transformation of organo-
    chlorine pesticides?  Are they the  same types  that  predominate in organic
    detritus formation or are they species selected by  exposure to pesticide
    pol lut ion?

        What is the degree of degradation of  specific compounds?
        Does co-metabolism occur in the estuary, and is it a means of de-
    grading pesticides?

        What effects do additional  hydrocarbons, such as oil, have on micro-
    bial degradation of pesticides in the estuary?
m
        Is synergistic activity within the estuarine microflora  a  factor in
     icrobial degradation of pesticides?

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                  THE MICROBIAL DEGRADATION OF OIL POLLUTANTS

         What is the role  of microbial  intracel 1 ular accumulation and adsorp-
     tion in biodegradation and/or  biological  magnification of pesticides?

         What environmental factors  in  the  estuary  prevent or  inhibit or ac-
     celerate microbial breakdown of  pesticides?

         What types  of  pesticides are easily degraded?

         What are the effects of degradation products on estuarine macro- and
     microflora  and  fauna?

         Considering all the above  questions,  are  similar reactions, selections
     and  effects occurring  in the water column and  in the sediments?

         Such studies will provide  data for an accurate picture of the role of
 estuarine microorganisms  on the fate of organic pollutants.   Such data are
 needed  to formulate water quality  criteria for pesticide regulation in the
 estuarine environment.


                               LITERATURE CITED

 1.   Ahearn,  D.  G.,  and S. P. Meyers.   1972.   The  role of fungi in the decompo-
         sition  of hydrocarbons in  the marine  environment.  In H.  A. Walters
         and  D.  G. Hueck van der Plas (eds.),  Biodeterioration of Materials,
         2:12-18.  Applied Science  Publishers,  Ltd., London.

 2.   Albone,  E.  S.,  G.  Eglinton, N.  C.  Evans,  J. M. Hunter, and M. M. Rhead.
         1972.   Fate of DDT  in  Severn Estuary  sediments.  Environ. Sci.
         Technol.  6:914-919.
 3.   Anderson, J.  P.  E., E. P.  Lichtenstein, and W. F. Whittingham.  1970.
         Effect  of MUCOF alt-ez>nans  on the persistence of DDT and dieldrin  in
         culture and in soil.   J. Econ. Entomol. 63:1595-1599.

 4.   Barker,  P.  S.,  F.  0.  Morrison,  and R.  S.  Whitaker.  1965.  Conversion of
         DDT to  ODD  by Proteus  vulgar-is, a  bacterium  isolated  from the  intes-
         tinal flora of a  mouse.  Nature  (London)  205:621-622.

 5.   Batterton,  J. C.,  G.  M. Boush,  and F.  Matsumura.   1971.   Growth response
         of blue-green algae to aldrin, dieldrin,  endrin and their metabolites.
         Bull. Environ. Contam. Toxicol. 6:589~594.

 6.   Bixby,  M. W., G. M. Boush, and  F, Matsumura.   1971.  Degradation of  diel-
         drin to carbon dioxide by  a  soil fungus Trichoderma koningi.   Bull.
         Environ.  Contam.  Toxicol.  6:491-494.

 7.   Bourquin, A.  W., S. K. Alexander, H.  K.  Speidel ,  J.  E.  Mann,  and  J.  F.
         Fair.   1971-   Microbial  interactions  with  cyclodiene  pesticides.
         Dev. Indust. Microbiol.  13:264-276.

 8.   Chacko,  C.  I.,  J.  L.  Lockwood,  and M.  Zabik.   1966.  Chlorinated  hydro-
         carbon  degradation  by  microbes.  Science  154:893-895.

 9.   Ewing, G.  1950.  Slicks,  surface  films and  internal waves.   J.  Mar.
         Res. 9:161-187.

10.   Focht, D. D.  1972.   Microbial degradation of  DDT  metabolites to  carbon
         dioxide, water,  and  chloride.   Bull.  Environ.  Contam. Toxicol.
         7:52-56.

                                      241

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               Center for Wetland Resources3  LSU-SG-73-01,  1973


11.   Focht,  D.  D.,  and  M.  Alexander.   1970.   Bacterial  degradation of  diphenyl-
         methane,  a DDT model  substrate.   Appl.  Microbiol.  20:608-611.
12.   Frobisher,  M.   1968.   Fundamentals of Bacteriology,  8th ed.  W.  B.  Saun-
         ders Co.,  Philadelphia.
13.   Guenzi,  W.  D., and W. E.  Beard.   1968.   Anaerobic  conversion of  DDT to
         ODD and aerobic stability of  DDT  in  soil.   Soil  Sci.  Soc. Am.  Proc.
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14.   Gunner,  H.  B., and B. M.  Zuckerman.   1968.   Degradation of "Diazinon" by
         synergistic microbial  action.  Nature  (London) 217:1183-1184.

15.   Horvath, R. S., and M.  Alexander.  1970.   Co-metabolism of m-chloro-
         benzoate by an Arthrobacter.  Appl.  Microbiol. 20:254-258.
16.   Kallerman,  B.  J.,  and A.  K.  Andrews.   1968.  Reductive dechlorination of
         DDT to DDD by  yeast.   Science 141:1050.
17.   Ko,  W.  H.,  and J.  L.  Lockwood.   1968.  Accumulation  and  concentration of
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         J.  Microbiol.  14:1075.
18.   Lichtenstein,  E. P.,  and  K.  R.  Schulz.   1959.   Breakdown of 1 indane and
         aldrin in soil.  J. Econ.  Entomol . 52:118-124.
19-   McRae,  I.  C.,  K. Raghu, and  E.  M. Bautista.  1969.   Anaerobic degradation
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20.   Matsumura,  F., and G. M.  Boush.   1967.   Dieldrin:  Degradation by  soil
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21.   Matsumura,  G., G.  M.  Boush,  and A. Tai.  1968,   Breakdown of dieldrin in
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22.   Mendel,  J.  L., and M. S.  Walton.  1966.  Conversion  of p,p'-DDT  to
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23.   Meyers,  S.  P., D.  G.  Ahearn,  W. Gunkel,  and  F.  J.  Roth,  Jr.  1967.
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24.   Miles,  J.  R.  W., C. M.  Tu, and  C. R.  Harris.   1969.  Metabolism of  hepta-
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         Entomol .  62:1334-1338.

25.   Patil,  K.  C.,  F. Matsumura,  and G. M.  Boush.   1970.  Degradation of
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         19:879-881.

26.   Patil,  K.  C.,  F. Matsumura,  and G. M.  Boush.   1971,  DDT metabol ized by
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27.   Patil,  K.  C.,  F. Matsumura,  and G. M.  Boush.   1972.  Metabolic transfor-
         mation of  DDT, dieldrin,  aldrin,  and endrin by marine microorganisms.
         Environ.  Sci.  Techno 1. 6:629-632.

28.   Pfister, R. M., and F.  Matsumura.  1972.   Interactions of halogenated
         pesticides and microorganisms:  A review.   In A.  I.  Laskin and  H.
         Lechevalier (eds.), Critical  Reviews in  Microbiology,  2:1-33.   CRC
         Press,  The Chemical Rubber  Co., Cleveland.

                                      242

-------
                  THE MICROBIAL DEGRADATION OF OIL POLLUTANTS


29-  Seba, D. B., and E. F. Corcoran.   1969.   Surface slicks  as  concentrators
         of pesticides in the marine environment,   Pestic.  Monit.  J.  3:190-193-
30.  Shin, Y. 0., J. J.  Chodan, and A.  R.  Wolcott.   1970.   Adsorption of  DDT
         by soils, soil  fractions,  and  biological  materials.   J. Agric. Food
         Chem. 18:1129.
31.  Sweeney, R.  A.   1968.   Metabolism  of  lindane  by unicellular algae.   Proc.
         12th Conf.  Great Lakes Research.

32.  Wedemeyer,  G.  1966.  Dechlorination  of  DDT by Aerobaoter aerogenes.
         Science 152:64?.
33-  Wedemeyer,  G.  1968.  Partial  hydrolysis of dieldrin  by  Aerobacter
         aerogenes,   Appl.  Microbiol.  16:661-662.

3*».  Williams, P- M.  1967.  Sea surface chemistry:  organic  carbon and organic
         and inorganic nitrogen and phosphorus in  surface  films  and subsurface
         waters.   Deep-Sea  Res. 14:791-800.
35.  Zhukova, A.  R.   1963.   On the  quantitative significance  of  microorganisms
         in nutrition of aquatic invertebrates. In C.  H.  Oppenheimer (ed.),
         Symposium on Marine Microbiology, pp. 699-710.  Charles C. Thomas,
         Springfield, 111.
                                       243

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CONTRIBUTION NO. 167

-------
Reprinted from COPEIA, 1973, No. 1, March 5
               pp. 140-141
     Made  in United States of America
                     A LARVAL  TARPON, MEGALOPS AT-
                     LANTICUS,  FROM PENSACOLA,  FLOR-
                     IDA.—A larval  tarpon, Megalops atlanticus,
                     an early Stage  II as designated by Wade
                     (1962), was collected in the upper reaches of
                     East Bay,  about 45 km  from the Pensacola
                     Inlet, Florida on 20 October 1970. It repre-
                     sents the second and  most northern record
                     of a larval tarpon from the Gulf of Mexico,
                     and suggests  late spawning in the  Gulf.
                        Eldred (1968)  reporting on the first capture
                     of a tarpon larva (Stage I) in the Gulf, about
                     117  km  due  west of Sanibel Island,  Florida
                     on 6 July  1967, postulated that its presence
                     could have resulted either from spawning in
                     the Gulf or from being carried northward by
                     transport  currents from a more  southerly
                     spawning.  Eldred's (1967) study  on catch
                     records of young indicated that tarpon spawn
                     in the Florida Straits, the Gulf Stream, and
                     the Caribbean Sea during spring and summer.
                     The occurrence  of the present early larva in
                     the  northern  Gulf  provides evidence  of
                     spawning in  a Gulf locality.
                        The specimen from  East Bay was collected
                     unusually late in the year.  This may indicate
                     that spawning in  the  northern Gulf  is later
                     than in southern regions. Except  for a larva

-------
                             ICHTHYOLOGICAL NOTES                          14]
taken 12 November 1921  off French Guiana,
all Stage I and II larvae have been captured
from  17  May to  1  October  (Wade,  1962;
Eldred, 1967,  1968).
  The larva was collected in a plankton tow
near the entrance of East Bay River in water
1.5 m deep. Surface salinity of the water was
7.3  fc bottom,  11.5.  Surface water temper-
ature was 20.1°  C; bottom, 21.6.  Measure-
ments (in mm) of the specimen are 28.5 total
length, 25.8  standard length,  and  2.6  head
length.  It has a total of 56 myomeres (39
predorsal, 41  preanal),  13 dorsal rays,  and
20 anal  rays.
  I thank Dr. Thomas W. McKenney of the
National Marine Fisheries Service Southeast
Fisheries Center, Miami, Fla. for checking the
measurements and meristic  counts of the
leptocephalus.

             LITERATURE CITED
ELDRED, B. 1967.  Larval tarpon, Megalops at-
  lanticus Valenciennes, (Megalopidae) in Florida
  waters.  Fla. Bd. Conserv. Mar.  Lab.,  Leaf.
  Ser., IV, Pt. 1, No. 4:1-9.
	.  1968.   First record of a larval tarpon,
  Megalops atlanticus  Valenciennes,  from the
  Gulf of Mexico. Ibid. IV, Pt.  1, No. 7:1-2.
WADE, R. A.  1962. The biology of the tarpon,
  Megalops atlanticus, and the ox-eye, Megalops
  cyprinoides, with emphasis on larval develop-
  ment.  Bull.  Mar. Sci. Gulf Carib.  12:545-622.
MARLIN  E. TAGATZ, National Marine  Fish-
eries  Service,  Atlantic  Estuarine  Fisheries
Center,  Beaufort,  North  Carolina  28516.
Present  address:  Environmental Protection
Agency,  Gulf Breeze Laboratory, Gulf Breeze,
Florida 32561.

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CONTRIBUTION NO. 168

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          RESIDUES  IN FISH,  WILDLIFE,
                           AND  ESTUARIES
            Mirex Residues in Selected Estuaries of South Carolina—June 1972 1

                            P. W. Borthwick,- G. H. Cook,= and J. M. Patrick, Jr."
                   ABSTRACT

Estuarine sediments, crabs, shrimps, and fishes were collected
in June 1972 at eleven stations two  years after aerial ap-
plications  of mirex  bait for control of fire ants in coastal
areas near Charleston, S.C. These stations had previously
been monitored (October  1969 to  June 1971)  when  levels
of mirex in animal samples were: crabs, 0-0.60 ppm; shrimps,
0-1.3 ppm; and fishes, 0-0.82 ppm.

The recent study showed  that mirex was present in  three
species of fishes (white catfish, 0.021  ppm; bluegill,  0.047
ppm; carp, 0.12 ppm) and blue crabs (0.026 ppm) at two
freshwater stations. However, mirex was not detected  in 36
animal samples, most of which were taken from nine  saline
stations in  the estuaries after a period of restricted use of
the pesticide. Analysis of  bottom sediment samples  at all
stations detected no  mirex. The lower limit of detection for
mirex was 0.01 ppm.

                  Introduction

In June  1972 samples  of  estuarine sediments,  crabs,
shrimps, and  fishes were collected at  11  stations near
Charleston, S.C.,  where mirex fire ant bait had  been
applied aerially to  coastal  areas  from  October 1969 to
December  1970.  The  United States  Department  of
Agriculture supervised  two applications of mirex,  by
fixed-wing aircraft,  to several hundred thousand  acres
in the  Charleston area.  Treatments  were  terminated
approximately 24 months before the June 1972 collec-
1 Contribution No. 168 from the Gulf Breeze Environmental Research
 Laboratory, United  States Environmental Protection  Agency, Gulf
 Breeze, Florida 32561; Associate Laboratory of the National Environ-
 mental Research Center, Corvallis, Oregon.
" Gulf Breeze Environmental Research Laboratory, Gulf Breeze, Flor-
 ida 32561.

144
tions. However, 18 months lapsed since special applica-
tions were made by helicopter to 1200 acres at Toogoo-
doo Creek: Stations A, B, C, and D; and by hand seeder
around a  one-acre pond at Riverland Terrace: Station  1
(Fig. 1).

Since  1970 less extensive  applications have been made
for control of nuisance populations of fire ants. During
the 1971-72 cooperative Federal State Control Program,
mirex bait was applied aerially in South Carolina and
seven  other  Southeastern  states  at property owners'
requests.
FIGURE 1—Map of study area showing location of mirex
      sampling sites, South Carolina—June 1972

                  PESTICIDES MONITORING JOURNAL

-------
The use of mirex  decreased  when the U.S. Environ-
mental  Protection Agency  (U.S.  EPA)  issued  orders
(1,  2) to cancel the registration of products containing
mirex, pending relabeling. The orders required that no
mirex  be  applied  aerially  near  estuaries  and  other
aquatic  areas, wildlife refuges, or heavily forested areas.
The present study was implemented  to determine how
much  mirex  remained in  the estuarine  fishes  and
crustaceans following a period of restricted use  of the
pesticide.
The stations  (Fig.  1)  and analytical techniques were
identical to those used in a more comprehensive study
of the area (3). Samples were collected and analyzed by
the  United States  Environmental Protection Agency,
Gulf Breeze  Environmental Research Laboratory, Gulf
Breeze, Florida.

               Results and Discussion
 In  June 1972, 24 months after large-scale aerial treat-
 ment of inland areas, mirex residues  greater than 0.01
 ppm were found in only 4 of 40 animal samples  (Table
 1). All  four samples were collected at the two freshwater
 stations located on the Ashley  and Cooper  Rivers
 (Stations  3  and 4,  Fig.  1)  which  drain watersheds
 within  the treated  area. Three species  of freshwater
 fishes and blue crabs contained the  following amounts
 of  mirex  (ppm):
          white catfish
          bluegill
          carp
          blue crabs
0.021
0.047
0.12
0.026
Except for the bluegill,  these  animals are omnivorous
bottom-dwellers.  Blue crabs are  euryhaline;  they oc-
casionally enter brackish and fresh waters  of estuaries.

Mirex was not detected  (Table 1)  in the remaining  36
animal samples,  most of which were taken at 9 stations
located on tidal  creeks in salt marsh areas that support
populations of finfish and crustaceans.  Many of  these
animals are transient and spend only a portion of their
lives in the estuary. No mirex was detected  in bottom
sediments sampled  at each location.

The lower limit  of  detection for mirex with the method
employed (3) was  0.01  ppm.

Between October 1969 and June 1971 mirex residues in
economically important  members of  the estuarine food
chain varied as  follows: crabs,  0-0.60 ppm; shrimps,
0-1.3 ppm; and  fishes, 0-0.82 ppm. Levels of mirex  in
these species diminished to less than  0.01 ppm over a
period of 18 to 24 months after the last  aerial broadcast
treatments to coastal South Carolina.

                LITERATURE CITED

(1) Ruckelshaus,  W.  D. 1972. Products containing the  in-
    secticide mirex; determination and order  of the Admin-
    istrator. Fed.  Regist. 37(106):  10987-10988.
(2) Ruckelshaus,  W.  D. 1972. Products containing the  in-
    secticide mirex;  determination  and  order. Fed. Regist.
    37(130): 13299-13300.
(3) Borthwick, P. W., T. W. Duke, A. J.  Wilson, 1. 1. Lowe,
    1. M. Patrick, Jr., and J. C.  Oberheu. 1972.  Accumula-
    tion and movement of mirex  .in selected estuaries  of
    South Carolina, 1969-1971. Pestic. Monit.  J. 7(1): 6-26.
      TABLE 1.—Whole body mirex residues, ppm, in estuarine animals, and sediments of South Carolina—June 1972
STATION LOCATION:
SPECIES STATION IDENTIFICATION
CRABS
CalUnectes sapldus (blue crab)
Uca pugilator (sand fiddler)
SHRIMPS
Penaeus aztecus (brown shrimp)
Palaemonetes pugio (grass shrimp)
FISHES
Leiostomus xanthurus (spot)
Bairdiella chrysura (silver perch)
Ictalurus catus (white catfish)
Cyprinus carpio (carp)
Lepomis macrochirus (bluegill)
MOLLUSKS
Crassostrea virginica (oyster)
Mercenaria mercenaria (hard
clam)
SEDIMENT
TOOGOODOO CREEK
A

	 i


—


—








—
B

—


—



—







—
C

—
—

—


—





—


—
D

—


—


—








—
RIVER-
LAND
TERRACE
POND
1

—


—
—

—








—
STONO
RIVER
2

—


—


—








—
UPPER 2
ASHLEY
RIVER
3

—





—

0.021

0.047




—
COOPER2
RIVER
4

0.026


—


—
—

0.12




—
—
LOWER
ASHLEY
RIVER
5

—


—


—








—
WANDO
RIVER
6

—


—


—








—
SOUTH
SANTEE
RIVER
7

—


—



—







—
 1 — indicates <0.01 ppm mirex.
 2 Freshwater stations.
 VOL. 7,  No. 3/4,  MARCH 1974
                                                                    145

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CONTRIBUTION NO. 169

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  Short-term Effects of Organophosphate Pesticides on
  Cholinesterases of Estuarine Fishes and Pink Shrimp
                                by
                DAVID L. COPPACE and EDWARD MATTHEWS
                  U. S. Environmental Protection Agency
               Gulf Breeze Environmental Research Laboratory
                   Sabine Island, Gulf Breeze, Fla. 32561
     The esterase-inhlbiting  insecticides  (organophosphates  and
carbamates) are now produced  and  enter  the  environment in greater
quantities than the chlorinated hydrocarbon insecticides  (ANONY-
MOUS, 1972; ANONYMOUS, 1971).  These  pesticides  act  as nerve
poisons by blocking synaptic  transmission in the cholinergic
parts of the nervous system  (HEATH, 1961; KARCZMAR et  al.  1970;
KOELLE, 1963; METCALF, 1971;  O'BRIEN, 1967).   The disruption of
nerve impulse transfers  is caused by  excessive accumulation  of
the neurotransmitter acetylcholine  (ACh) which is normally
broken down by the enzyme acetylcholinesterase (AChE,  EC  3.1.
1.7 acetylcholine acetyl-hydrolase).  The organophosphates and
carbamates bind to the active site  of the AChE and prevent
breakdown of ACh  (ALDRIDGE, 1971; FUKUTO, 1971;  KOELLE, 1963;
METCALF, 1971).  AChE inhibitors  probably cause  death  in
higher vertebrates by blocking neurotransmission in  the respira-
•tory center of the brain or neuromuscular junctions  of the
respiratory apparatus  (DeCANDOLE  et al.  1953;  HEATH, 1961;
KOELLE,. 1963), but this  has not been  confirmed for fish.   In-
hibition of AChE is also believed to  be  the mode of  action of
these pesticides on arthropods (HEATH,  1961;  KOELLE, 1963;
O'BRIEN, 1960; O'BRIEN,  1967).

    The possible hazards of AChE  inhibiting pesticides in the
aquatic environment should not be ignored.   Over one hundred
AChE inhibiting pesticides are produced  and over 200 million
pounds are manufactured  annually  in the  United States  (CASIDA,
1964; ANONYMOUS, 1972; ANONYMOUS, 1971).  Aquatic organisms
show a broad range of response to organophosphate pesticides,
depending on the compound, exposure time, water  conditions,  and
species (EISLER, 1970a).  Short-term  lethal concentrations in
water range from a few parts  per  trillion to several parts per
million (EISLER, 1970b;  ANONYMOUS,  1963; ANONYMOUS,  1970).
  Gulf Breeze Environmental Research Laboratory Contribution
  No. 169
2
  Associate Laboratory  of  the  National Environmental Research
  Center,  Corvallis,  Oregon
                                483
Bulletin of Environmental Contamination & Toxicology,
Vol. 11, No. 5 © 1974 by Springer-Verlag New York Inc.

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The organophosphate insecticides, with which we are concerned in
this report, generally degrade more rapidly in the environment
than do chlorinated hydrocarbon insecticides they are replacing.
But, their presence and effects in the environment may be greater
than expected because it may be necessary to apply the organo-
phosphates more frequently and in greater quantity to control
pests.  The cholinesterases of vertebrates may remain inhibited
for several weeks after exposure because of irreversible in-
hibition by extremely small quantities of dealkylated oxygen-
analog metabolites of thiophosphates (COPPAGE and DUKE, 1972;
HEATH, 1961; KOELLE, 1963; MACEK et al. 1972; O'BRIEN, 1960).
Cumulative reduction of AChE by repetitive exposure has been
demonstrated in some vertebrates (HEATH, 1961; KOELLE, 1963),
and this may happen to fish subjected to similar repetitive ex-
posure in the environment (HOLLAND and LOWE, 1966; ANONYMOUS,
1965; WEISS, 1958).

     Recent studies have indicated AChE measurements are probably
the best general index of organophosphate poisoning of fish in
the environment (COPPAGE, 1972; MACEK et al. 1972; COPPAGE and
DUKE, 1972).  Also, if one considers the number of organophosphate
compounds and the difficulty in detecting their highly toxic
oxygen-analogs (McCULLY, 1972; PARDUE, 1971), AChE measurements in
animals from the environment are probably the best general indi-
cator of serious organophosphate pesticide pollution.  The diffi-
cult task of detecting and interpreting residues alone in terms of
effects on organisms is eliminated by measuring AChE in animals
taken directly from the environment.  A field study of three
species of estuarine fishes from an area sprayed with organophos-
phate pesticide showed brain AChE inhibition was correlated with
mosquito control operations with malathion (COPPAGE and DUKE,
1972).  Brain AChE of fresh water fishes in ponds was also in-
hibited by application of Dursbany^(MACEK et al. 1972).  In-
hibition of AChE in fish brains has been found below river out-
falls of pesticide plants (COPPAGE, unpublished data; WILLIAMS
and SOVA, 1966).  Also, concentrations of malathion lethal to
commercial shrimp may exist during mosquito control operations
(CONTE and PARKER, 1971).
 'Trademark:  Dursban, Dow Chemical Co., Michigan.  Mention of
  commercial products does not constitute endorsement by the
  U. S. Environmental Protection Agency.
                                484

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    We need more information on the relationship of AChE in-
hibition to poisoning and deaths of estuarine animals to aid
in determining whether detrimental effects and "kills" in the
environment are caused by organophosphate pesticide exposure.
This report concerns AChE inhibitory effects of short-term
laboratory exposures of four species of estuarine fishes and a
commercial shrimp to lethal concentrations of malathion that may
be found in the environment (CONTE and PARKER, 1971).  In
addition,. AChE inhibitory effects of lethal exposure to naled,
GuthionQy, and parathion are reported for two of the fish
species.

                       MATERIALS AND METHODS

    Inhibition of AChE activity was used as an indicator of
poisoning in brains of spot (Leiostomus xanthurus; 65-150 mm
total length), pinfish (Lagodon rhomboides; 65-125 mm), Atlantic
croaker (Micropogon undulatus; 85-150 mm), and sheepshead minnows
(Cyprinodon variegatus; 45-70 mm), and in the ventral nerve cord
(VNC) of pink shrimp (Penaeus duorarum; 78-122 mm) .  The acetyl-
choline hydrolyzing enzymes from fish brains were characterized
and assayed as previously described (COPPAGE, 1971).  The assay
was carried out with a recording pH-stat at pH 7 and 22° C.  We
mixed 2 ml of brain homogenate containing 5 mg of tissue per ml
with 2 ml of 0.03 M acetylcholine iodide and measured the acetic
acid liberated by enzymatic hydrolysis of ACh by titrating with
0.01 N NaOH.  Shrimp VNC was assayed similarly, except tempera-
ture was 25° C and the homogenate contained 2 mg of VNC per ml.
AChE activity of both shrimp and fish was measured as micromoles
of ACh hydrolyzed per hour per mg of tissue in the reaction
vessel.  Each AChE assay sample consisted of pooled organs from
4 to 6 animals that survived pesticide exposure at a designated
time.

    In each test, 10 fish or shrimp were exposed in 3-5 replicates
to technical grade pesticide in 8-liter acrylic plastic aquaria
that received a mixture of flowing seawater (400 ml per minute)
and pesticide from a common source.  The pesticide was dissolved
in acetone or benzene and infused into seawater by means of
syringe pumps.  Solvent infusion never exceeded 2.5 parts per
million in the water and did not affect AChE activity.  Pesti-
cide concentration in the water was expressed in theoretical
parts per billion (ppb), but was not verified by residue
analysis because our chosen criteria for toxic effects were only
death and AChE inhibition.  In quadruplicate tests comparing
  s
  Trademark:  Guthion, Chemagro Corp., Missouri.
                                485

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different solvent (acetone vs. benzene) carrying the same
quantity of malathion, there was no significant difference
(Student's t-test, P <0.05) in mortality or AChE inhibition.
Temperature range was 18-23° C and salinity was 23-29 parts
per thousand during the tests.

    To determine the extent of AChE inhibition resulting from
a near median kill, we assayed survivors in tests in which 40-60
percent of the test population was killed.  The shrimp assayed
had lost equilibrium (=moribund).  Statistical comparisons of
AChE activities of exposed animals were made with unexposed
populations (Student's t-test, P <0.001).


                      RESULTS AND DISCUSSION

    AChE inhibition was great in surviving fish and moribund
shrimp.  Results of tests are summarized in Table 1.
                             TABLE 1.

 AChE  Inhibition in Fish and Shrimp by LC 40-60 of Organophos-
 phates
Animal


Spot



Pinfish



Croaker
Sheepshead
Minnow
Pink Shrimp
(moribund)
Pesticide


Malathion
Naled
Guthion
Parathion
Malathion
Naled
Guthion
Parathion
Malathion
Malathion

Malathion

Theor-
etical
Cone.
(ppb)
1250
75
20
10
1000
75
10
10
1000
200

1000

Hours
Exposed


24
24
24
24
24
24
24
24
24
24

48

AChE Inhibition
Reduced (%) Significant
Mean

70
85
96
88
88
88
80
90
86
96

75

Range at t

65-82
82-89
93-98
87-89
87-89
88-88
77-84
88-92
79-90
90-99

72-82

0.001
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes

Yes

                                486

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     Relatively consistent levels of AChE inhibition occurred in
fishes even with different compounds and different species.  The
survivors of populations of fish in which AO-60 percent were
killed by exposure to organophosphate pesticide had mean brain
AChE reductions of 70-96 percent (Table 1) .  Mean AChE inhibitions
in fishes were near or exceeded the "lethal threshold" of about 82
percent reduction indicated in a previous study of sheepshead
minnows (COPPAGE, 1972), except inhibition of spot brain-AChE by
malathion, which differs by only 12 percent.  These inhibitions
indicate that mean reductions in AChE activity of about 80 per-
cent are critical in short-term organophosphate poisoning of the
fishes tested and this may apply to fishes in general.  Deaths may
occur even at mean inhibition values of 70 percent in some cases,
so the "lethal threshold" probably varies slightly among species.
These specific levels of reduction of AChE show that it is un-
necessary to rely on the dubious interpretation of residues alone
to determine poisoning and cause of "kills" in the environment.
Measurements of AChE activity and residue analysis or pesticide
usage data would be especially helpful in cause and effect studies.

     Reduction of activity of ACh hydrolyzing enzymes in the VNC of
moribund shrimp was similar to that observed in fishes (Table 1).
The large reduction (75 percent) of enzyme activity in moribund
shrimp indicates that they too may be useful indicators.
                             REFERENCES

ALDRIDGE, W. N.:  Bull. W. H. 0. 44, 25  (1971).

ANONYMOUS:  U.  S. Environ. Prot. Ag. Tech. Studies Report:  TS-
00-72-04 (1972).

ANONYMOUS:  U.  S. Dep. Agric.:  The Pesticide Review  (1971).

ANONYMOUS:  U.  S. Fish Wildl. Serv. Circ. 167  (1963).

ANONYMOUS:  U.  S. Fish Wildl. Serv. Circ. 226  (1965).

ANONYMOUS:  U.  S. Bur. Sport Fish Wildl. Resour.  Publ.  106  (1970).

CASIDA, J. E.:   Science 164. 1011  (1964).

CONTE, F. S., and J.  C. PARKER:  Sea Grant Publ.  No.  TAMU-SG-71-
211  (1971).

COPPAGE, D. L.: Bull. Environ. Contain.  Toxicol.  £,  304 (1971).

COPPAGE, D. L.: Trans. Am. Fish.  Soc. 101.  534  (1972).
                                 487

-------
COPPAGE, D. L.:  Unpublished data.

COPPAGE, D. L. and T. W. DUKE, Proc. 2nd Gulf Coast  Conf.  Mosq.
Suppr. Wildl. Manage. New Orleans, La., Oct. 20-22.   1971  (1972).

DeCANDOLE, C. A., W. W. DOUGLAS, K. E. V. SPENCER, R. W. TORRANCE,
and K. M. WILSON:  Br. J. Pharmacol. 8_, 466  (1953).

EISLER, R.:  U. S. Bur. Sport Fish. Wildl. Tech. Pap. 45  (1970a).

EISLER, R.:  U. S. Bur. Sport Fish. Wildl. Tech. Pap. 46  (1970b).

FUKUTO, T. R.:  Bull. W. H. 0. 44., 31  (1971).

HEATH, D. F.:  Organophosphorous Poisons.  Pergamon  Press,  N.  Y.
(1961).

HOLLAND, H. T., and J. I. LOWE:  Mosq. News  26_, 383  (1966).

KARCZMAR, A. G., S. NISHI, and L. C. BLABER:  Acta Vitaminol.
Enzymol. 24-, 131 (1970).

KOELLE, G. B., ed.:  Cholinesterases and Anticholinesterase Agents.
Springer-Verlag, Berlin.  (1963).

MACEK, K. J., D. F. WALSH, J. W. HOGAN, and  D. D. HOLTZ:   Trans.
Am. Fish. Soc. 101, 420 (1972).

METCALF, R. L. :  Bull. W. H. 0. 44^ 43 (1971).

McCULLY, K. A.:  J. Assoc. Of. Anal. Chem. 55., 291 (1972).

O'BRIEN, R. D.:  Toxic Phosphorus Esters.  Academic  Press,  N.  Y.
(1960).

O'BRIEN, R. D.:  Insecticides.  Academic Press, N. Y. (1967).

PARDUE, J. R. :  J. Assoc. Of. Anal. Chem. 54_, 359 (1971).

WEISS, C. M.:  Ecology 3£, 194 (1958).

WILLIAMS, A. K., and R. C. SOVA:  Bull. Environ. Contam. Toxicol.
1, 198 (1966).
                                488

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CONTRIBUTION NO. 170

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      Accumulation of Aroclor® 1254 in Grass Shrimp
 (Palaemonetes pugio) in Laboratory and Field Exposures
                                 by
          D. R. NIMMO, J. FORESTER, P. T. HEITMULLER, and G. H. COOK
                    U. S. Environmental Protection Agency
                Gulf Breeze Environmental Research Laboratory
                    Sabine Island, Gulf Breeze, Fla. 32581
    Results of  several  experiments Indicate that aquatic Inverte-
brates accumulate  total body concentrations of polychlorinated bi-
phenyls  (PCB) thousands of  times greater than that of the sur-
rounding water.  For example, SANDERS and CHANDLER (1972) showed
that fresh water insects and crustaceans rapidly (1 day) accumu-
lated PCB  (Aroclor 1254) up to 24,000 times greater than the
concentration in the water.  Results of similar exposures con-
ducted with estuarine animals showed oysters concentrating 85,000
(LOWE et al. 1972), shrimp  10,000 (NIMMO et al. 1971a). and fish
30,000 (HANSEN  et  al. 1971) times the amount of PCB in the
water.

    Although SANDERS and CHANDLER (1972) stated that PCBs
entering the aquatic environment are below concentrations acutely
toxic to invertebrates, we  have noted that most of the accumu-
lation studies  conducted thus far by the investigators cited in
the paragraph above have been at concentrations of 1.0 ug/£ and
above, i.e., concentrations demonstratively toxic to test animals.
Little is known about accumulation in marine invertebrates at
extremely low concentrations, and with one exception (NIMMO et al.
1971a), no one  to  our knowledge has placed PCB-free animals in a
natural environment known to have PCBs and followed accumulation
with time.

    We report here the  results of several experiments on chronic
toxicity of Aroclor 1254 to Palaemonetes pugio, an estuarine
grass shrimp, as well as concentration and loss of the compound
from the animals with time.  We also exposed grass shrimp for up
to 3 months to Aroclor  1254-contaminated sediments in Escambia
Bay, near Pensacola, Florida.

                       METHODS AND MATERIALS

    With one exception,  all laboratory experiments were conducted
in 30-ml chambers supplied with flowing water from Santa Rosa

  Gulf Breeze Environmental Research Laboratory Contribution
  No. 170
2
  Associate Laboratory  of the National Environmental Research
  Center, Corvallis, Oregon
                                303

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Sound.  Three sets of 5 chambers each received  test  concentrations:
the fourth set was a control.  Each chamber  contained  4-10  shrimp,
the number depending on the size of the animals.  Water  flowed
continuously through each chamber at a rate  of  1.0 1/hr.  Aroclor
1254, dissolved in polyethylene glycol (mol. wt.  200), was  metered
into each mixing tank with a syringe pump before  the water  entered
the test chamber.  An equal amount of solvent was added  to  the
water flowing to controls.  David J. Hansen  of  this  laboratory,
found the sensitivity of a marine fish to Aroclor 1254 remained
unchanged when he varied concentrations of polyethylene  glycol
used to deliver the toxicant (personal communication).   The shrimp
were fed daily a commercial molly-rlake diet (<0.02  mg/kg organo-
chlorine compounds).

    The experiment to determine the concentration and  loss  from
the tissues of f_. pugio was also conducted in a flowing-water
system.  We constructed 18-liter aquaria with false  floors  of
nylon screen (1/4-inch mesh) to hold shrimp  above the detritus
brought in with the water or produced by the animals.  This modi-
fication was intended to prevent the animals from eating these
particles with adsorbed Aroclor 1254.  Consequently, we  assume
that shrimp obtained more of the chemical from  the water by ab-
sorption through the gills rather than from  ingestion of con-
taminated detritus.  The shrimp were not fed during  this experi-
ment.

    Concentrations of Aroclor 1254 in tissues by gas chroma-
tography were determined using pooled samples of at  least 10
shrimp each (NIMMO et al. 1971a).

    P_. pugio were exposed to Aroclor 1254-contaminated sediments
in upper Escambia Bay from November 1971 to  February 1972.   The
shrimp in specially-constructed cages (HEITMULLER and NIMMO, 1972)
were exposed directly to the sediments.  Average concentration of
Aroclor 1254 in the uppermost two inches of  sediment in  November
1971 was 5.0 mg/kg (dry weight).

                  RESULTS OF LABORATORY EXPOSURES

    Tests conducted in flowing water showed  P_. pugio to  be  sus-
ceptible to Aroclor 1254 (Table 1).  In a 7-day exposure, 60%
died at 9.1 yg/£, but significant mortality  did not  occur at 0.17
and 0.62 jjg/£.  In the second series of tests lasting  16 days,
4.0 and 12.5 yg/j. were toxic, but significant mortality  did not
occur in l."3 yg/£.

    At the conclusion of several one-week exposures to a range of
concentrations (0.17 to 9.1 yg/fc), surviving shrimp from each ex-
posure were analyzed for whole-body residues.  Ambient concen-
tration of toxicant in the water and resultant residues in  the
shrimp were correlated (r=0.91,  Table 2).   In some cases, dupli-
cate test concentrations produced biological accumulations  that
differed by a factor of 2.   Concentration factors ranged from
3,000 to 11,000.   These ranges  were similar  to those found  in

                                304

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TABLE 1. MORTALITY AMD ACCUMULATION OF AROCLOR 125U IN
                      Palaemonetes pugio*
 Test  Cone.    Days     Average Mortality  Body Cone.
   (yg/S,)     Exposed        (%)**         (mg/kg)
Concentration
  Factor
 CONTROL         7         4(0-20)           0.1
   0.17          7         8(0 - 40)           1.3
   0.62          7         4(0 - 20)           5.4
   9.1          7        60(20 - 80)***     65.0

 CONTROL        16        25(0 - 50)          <0.1
   1.3         16        40(0 - 100)         18.0
   4.0         16        45(25 - 50)***     27.0
  12.5         16        55(50 - 75)***     46.0
   7600
   8700
   7100
  14000
   6700
   3700
   *A11 exposures  were conducted in flowing seawater:   salinity and
    temperature ranges were 22 to 28X and 17 to 28°  C.

  **5  replicates per concentration:  at least 4 shrimp  per repli-
    cation.

 ***Significant at P >0.05.
TABLE 2. ACCUMULATION OF AROCLOR 125^ BY Palaemonetes pugio*
Test Cone.
(yg/JO
0.17
0.62
1.0
2.3
2.7
3.2
3.2
5.2
5.3
5.3
9.1
Body Cone.
(mg/kg)
1.3
5.4
3.2
25.0
19.0
15.0
26.0
29.0
16.0
30.0
65.0
Concentration
Factor
7600
8700
3200
11000
7000
4800
8100
5600
3000
5700
7100
 *7-day exposures conducted in flowing seawater at salinity and
  temperature ranges of 22 to 28 and 17 to 28° C.
                                 305

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                                        TABLE 3.
AFTER EXPOSURES TO THE CHEMICAL IN WATER AT THREE CONCENTRATIONS
(Each value represents a composite sample of 10 animals)
Length of
Exposure
(hr/
0
1
2
3
4
8
12
16
24 /
36 /
48 /
72 /
96 /
154 /
336 /
504 /
672 /
840 /

1176 /
1512 /
days)
Control
0.04
Body Cone . Body
Cone. Factor Cone.
Cone.
Factor
(mg/kg) (mg/kg)
0.1 * 0.







1
1.5
2
3
4
6.5
14
21
28
35

49
63

_

_
-
-
_
-
-
-
-
-
0
-
0
0
0

0
0
* 0.
* 0.
* 0.
—
—
—
—
—
—
—
—
—
.1
—
.1
.14
.10

.1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1
1
1
1
1
1
1
1
1
1
1
1
1
1
13
15
17
21
PCB -
0.
.15 0.
1
1
*
A
*
*
*
*
*
*
*
*
*
*
*
1590
3250
3750
4250
5250
STOPPED
*
*

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 tests using penaeid shrimp  (NIMMO et  al.  1971a), but were  some-
 what lower than those  found by  SANDERS and  CHANDLER (1972),  in
 tests using several invertebrate  species  in fresh water.

    There  appeared  to  be  no threshold below which levels of  the
 chemical added  to water failed  to produce residues  in  the  tissues
 (Table  3)  in our tests.   Whole-body concentrations  produced  after
 5 weeks exposure to 0.04, 0.09  and 0.62 yg/j, ranged from 200 to
 26,000  times the concentrations in the test water.  Concentrations
 did not reach equilibrium and from 60 to  90 percent of the Aroclor
 1254 was lost from  the shrimp within  4 weeks after  exposure  to the
 chemical was stopped.  Test concentrations  of the chemical were
 not significantly toxic to  shrimp.  Although accumulation
 increased  with  increasing concentration of  toxicant in this  test,
 this was not observed  in  earlier  studies  (see Tables 1 and 2).
 Implications are to be discussed  elsewhere.

                     RESULTS OF  FIELD  EXPOSURES
    Average whole-body residue of Aroclor 1254  in P_. pugio  after
1 month was 0.41 mg/kg (0.34  to 0.57); after  3  months, 0.42 mg/kg
(0.37 to 0.50).  There was no evidence that significant mortality
occurred during the exposures of grass shrimp to contaminated
sediments.

                            DISCUSSION

    Concentrations of Aroclor 1254  in P_. pugio. after exposure
to contaminated sediments for 3 months was equivalent to  a
laboratory-exposure of 0.09 yg/jj, in water for 2 weeks (Table 3).
We expected residues to be higher in caged shrimp since we  had
found that fiddler crabs exposed in the laboratory  accumulated
residues equal to or greater  than (wet-weight basis) that of the
contaminated substratum  (dry-weight basis) after 30 days
(NIMMO et al. 1971b).  Concentrations of Aroclor 1254 in  caged
shrimp exposed to contaminated sediments appeared to reach  a
plateau, but this was not the case  in laboratory exposures
(Table 3) where an equilibrium was  not reached. Therefore,
we believe that shrimp exposed to the sediments might have
obtained PCB from the water or food singly, but shrimp exposed  to
Aroclor in the laboratory obtained  chemical from two sources,
water and food.  It might also be more available in the laboratory
than the field due to the carrier.  In earlier  laboratory studies
with penaeid shrimp, both water and food appeared to be sources
(NIMMO et al. 1971a).

    No significant mortality  was observed in  caged  shrimp and
none would be predicted since residues produced in  the field were
similar to those found in shrimp after laboratory exposures which
caused no death.

    Penaeid shrimp spend only a fraction of their life cycle in
an estuary, moving into oceanic waters after  reaching maturity
                                 307

-------
(PEREZ FARFANTE 1969), but grass shrimp  are  endemic  in  estuaries.
Therefore, in relation to time of exposure we would  expect  grass
shrimp to accumulate a pollutant from a  contaminated estuary to a
greater degree than penaeid shrimps, nevertheless, this is  not
true.  In August 1968, penaeid shrimps  (Penaeus  duorarum, P_.
setiferus, and P_. aztecus) collected during  a survey of Escambia
Bay, Florida, had whole-body residues of Aroclor 1254 as high as
14.0 mg/kg (NIMMO et al. 1971b).  In that survey and in subsequent
collections, P_. pugio had a maximum residue  of only  1.4 mg/kg.

    Lower residues in P_. pugio from Escambia Bay may be due to
amounts of PCB in bay sediments and behaviorial  patterns of the
animals.  We noted earlier (NIMMO et al. 1971a)  in species  of
penaeid shrimp were related to higher concentrations of Aroclor
1254 in sediments that predominate in upper  Escambia Bay.   We
found that penaeid shrimp, as adults, usually are captured  in
deeper waters and burrow into silty or sandy substrates.  In
contrast, grass shrimp usually do not burrow, rather are found
along shallow sandy beaches and grass beds,  where they  obtain
food that is relatively uncontaminated with  PCB.
                            REFERENCES

HANSEN, D. J., P. R. PARRISH, J. I. LOWE, A. J. WILSON, JR., and
P. D. WILSON:  Bull. Environ. Contam. and Toxicol., 6_, 113  (1971),

HEITMULLER, P. T., and D. R. NIMMO:  Prog. Fish-Cult., 34_,  120
(1972).

LOWE, J. I., P. R. PARRISH, J. M. PATRICK, and J. FORESTER:  Mar.
Biol. (Berl.), 17_: 209 (1972).

NIMMO, D. R., R. R. BLACKMAN, A. J. WILSON, JR., and J. FORESTER:
Mar. Biol. (Berl.), 11_, 191 (1971a).

NIMMO, D. R., P. D. WILSON, R. R. BLACKMAN, and A. J. WILSON, JR.
Nature, 231, 50 (1971b).

PEREZ FARFANTE, I.:  U. S. Fish Wildl. Serv., Fish. Bull.,  67_,
461  (1969).

SANDERS, H. 0., and J. H. CHANDLER:  Bull. Environ. Contam. and
Toxicol., 7, 257 (1972).
                                308

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CONTRIBUTION NO. 172

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ENVIRONMENTAL RESEARCH 7, 363-373 (1974)




  Aroclor 1016: Toxicity  to and Uptake by Estuarine Animals1-2

                   D. J. HANSEN, P. R. PAEBISH, AND J. FORESTER

   U. S. Environmental Protection Agency, Gulf Breeze Environmental Research Laboratory,
       Sabine Island, Gulf Breeze, Florida 32561 (Associate Laboratory of the National
                   Environmental Research Center, Corvallis, Oregon)

                              Received June 24, 1973

       Bioassays were conducted to determine the acute toxicities of the polychlorinated
    biphenyl (PCB) Aroclor 1016 in flowing sea water to American oysters (Crassostrea
    virginica), brown  shrimp  (Penaeus aztecus), grass shrimp (Palaemonetes pugio),
    and  pinfish  (Lagodon  rhomboides), and to determine its chronic toxicity to,  and
    uptake and retention by pinfish. Acute 96-hour ECSO's or LCSO's were: oysters, 10.2
    /i/liter; brown shrimp,  10.5 /ig/liter; grass shrimp, 12.5 /ig/liter. The PCB was not
    toxic to pinfish at  100 /ig/liter for 96  hours, but significant mortality occurred when
    pinfish were exposed to  32 /ig/liter of  Aroclor 1016 for 42 days. Pinfish exposed to 1
    /ig/liter for 56 days accumulated the chemical with maximum concentrations attained
    in whole-fish by 21 to  28 days. Maximum whole-body residue (wet weight)  was
    17,000 X  the nominal concentration in test water. Tissue alterations, such as severe
    vacuolation in the pancreatic  exocrine tissue surrounding the portal veins, occurred
    in pinfish  exposed to 32 /ig/liter of Aroclor 1016 for 42 days.

   Polychlorinated biphenyls (PCB's) have been used  industrially for  over 40
years  (Broadhurst, 1972) and recently  there has been  concern about their en-
vironmental impact. Because of this concern, manufacture and sale of most PCB's
were discontinued,  and  sales restricted  to uses that  are  not likely to  produce
environmental  contamination. A  new PCB,  Aroclor 1016,  is now manufactured
in the  United  States for sale to capacitor manufacturers as a substitute for all
other PCB's. This new PCB is similar to Aroclor 1242^;except that amounts of
isomers containing  5 or more chlorine atoms per bfphenyl group have been
considerably reduced. Domestic sales of Aroclor 1016 increased from about 3.3 X
106 pounds in  1971 to 20.9 X  106 pounds in 1972  (W.  B.  Papageorge,  personal
communication3).
   Our  study was conducted to determine the acute toxicity  of Aroclor  1016 to
the American oyster (Crassostrea  virginica), brown shrimp (Penaeus aztecus),
grass shrimp (Palaemonetes pugio),  and pinfish (Lagodon rhomboides)  and to
determine its chronic toxicity to, and uptake and retention by pinfish.


   1 Aroclor is  a registered trademark, Monsanto Company,  St. Louis, MO. Mention of com-
mercial  products  or trade  names  does not  constitute  endorsement by  the  Environmental
Protection Agency.
   * Contribution No. 172, Gulf Breeze Environmental Research Laboratory.
   ' W. P. Papageorge, Monsanto Industrial Chemicals Company. 800 N. Lindbergh Boulevard,
St. Louis, MO 63166.
                                       363
Copyright © 1974 by Academic Press, Inc.
All rights of reproduction in any form reserved.

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364                    HANSEN, PABBISH AND FORESTER


                         MATERIALS AND METHODS

Test Animals
  Test animals were collected near the Gulf Breeze Laboratory and acclimated
to laboratory conditions for at least 7 days before exposure. If mortality exceeded
1% in the 48 hours immediately preceding the test, or if abnormal behavior was
observed during acclimation, the animals were not used. Oysters tested were 35-
55 mm in height; brown shrimp, 11-26 mm rostrum-telson length; grass shrimp,
20-32 mm rostrum-telson length; and pinfisb 27-84 mm standard length. Animals
were not fed during acute toxicity tests but they could obtain plankton from the
unfiltered sea water. In the  chronic exposures and the uptake and retention test,
pinfish were fed commercial fish food that contained no detectable PCB  (<0.2
/•g/g)-
Acute and Chronic Tests
   Acute toxicity to Aroclor 1016 was determined by  exposing  10 individual
animals to 1, 10, or 100 /ig/liter for 96 hours in each of two 20 liter aquaria. Each
experiment was conducted  twice. The PCB was  dissolved in acetone  or poly-
ethylene glycol 200 and metered at 30 or 0.1 ml/hour, respectively, into unfiltered
sea  water that entered  each aquarium at 75 liters/hour. Two control aquaria
received the same quantities of water and solvent. Temperature and salinity  of
the  water flowing into aquaria in replicated tests were similar (±10%).
   Chronic toxicity of Aroclor 1016 to pinfish was determined in 3 experiments,
each lasting 42 days.  In each experiment, 50 fish were placed in each 90 liter
aquarium that received 140 liters/hour of sea water. The PCB, dissolved in poly-
ethylene glycol, was metered into the water at 0.083  ml/hour in the first two
experiments, and 1.04 ml/hour in the third experiment. Control aquaria received
the  same quantity of water and solvent.
   The same exposure techniques that were used in the first two chronic toxicity
experiments were used  to determine: (1)  the  rate of uptake and retention  of
Aroclor  1016 in pinfish exposed  to  1  fig/liter for 56 days and (2) the rate  of
depuration of Aroclor 1016 by pinfish in PCB-free water for 56 days.
   Effect  of Aroclor 1016 was assessed  by measuring percentage  reduction  in
shell growth of exposed oysters as compared to control oysters  (Butler,  1962),
by determining mortality in shrimps and fish, and by  pathological examination
of chronically exposed fish.

 Histopathological Examination
   Dr. J. A. Couch, pathobiologist at this laboratory, examined viscera from live
pinfish from the third 42-day exposure. Viscera were fixed either in 10% neutral
buffered formalin or in Davidson's fixative. Those fixed in Davidson's were stored
in 70% ethyl alcohol until processed for paraffin sections (7 /tm) and stained with
 Harris hematoxylin  and eosin (HHE) or Periodic Acid SchifFs  (PAS). Viscera
 fixed in  10% neutral buffered formalin were processed for frozen sections (12
 and stained with oil Red O and hematoxylin.

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               AHOCLOH  1016: TOXICTTY TO ESTUABINE ANIMALS            365

Chemical Analyses

  Concentrations of Aroclor 1016 in water  and animals were determined by
electron  capture gas chromatography. Unaltered water  samples from each con-
centration were analyzed once during the 96-hour exposures, and weekly during
longer exposures. Concentrations in animals that survived the 96-hour exposures
were  determined as whole-body residues. At the  conclusion  of each chronic
exposure, surviving pinfish were dissected and PCB residues in flesh, flesh and
scaleless  skin, and remaining tissue determined. Residues in all tissues were sum-
med to compute concentrations of Aroclor 1016 in whole fish. The same procedure
was followed in the uptake  and retention study, except fish were removed for
analysis  at selected intervals during exposure and depuration.  Also, at the end
of the 56 day exposure, brain, gills, heart, and liver were removed from exposed
fish for residue analysis.  All fish samples were composites of 10 individuals.
  Tissue samples that weighed more than 5 g were prepared for  analysis by
mixing them with anhydrous sodium sulfate  in a blender. The mixture was ex-
tracted for 4 hours with petroleum ether in  a Soxhlet apparatus. Extracts were
concentrated to approximately 10 ml and transferred in 3-4-ml portions to a 400 X
20 mm chromatographic column that contained 76 ml of unactivated Florisil. After
each  portion settled in  the column, vacuum was applied until all solvent was
evaporated. This was repeated with three 5-ml rinses.  The residue was eluted
from  the column with 70 ml of a 9:1 mixture (v/v) of  acetonitrile and distilled
water. The eluate was  evaporated to dryness and  the  residue transferred to a
Florisil column (Mills et al., 1963) with petroleum ether. Aroclor 1016 was eluted
with 6% ethyl ether in petroleum ether.
  Tissue samples that weighed  less than 5 g were analyzed by a modification
of the micromethod described in the Pesticide Analytical Manual,  Volume III
(U. S. Food and Drug Administration, 1970). The samples were weighed into a
size 23 Duall tissue grinder  and extracted 3 times  with 5-ml portions of aceto-
nitrile. The acetonitrile was  flooded with 15 ml of 2% (w/v)  sodium sulfate in
distilled  water and extracted with three 5-ml portions of hexane. The hexane was
evaporated to approximately 1 ml and transferred to a 9 X 200 mm Chromaflex
column with a 59 ml reservoir that contained 3.3 g of Florisil topped with 3.3 g
of anhydrous sodium sulfate. Aroclor 1016 was eluted with 20 ml of 5% ethyl ether
in hexane and adjusted to an appropriate volume for analysis.
  Water samples were  extracted with petroleum ether,  the extracts dried with
anhydrous  sodium sulfate, and evaporated to approximately 1 ml. The  concen-
trates  were transferred  to  a size 7 Chromaflex column containing 1.6 g Florisil
topped with 1.6 g anhydrous sodium sulfate. Aroclor 1016 was eluted with 20 ml
of 1%  ethyl ether in hexane and  the eluates were adjusted to  an  appropriate
volume for analysis.
  All samples  were analyzed by electron capture gas chromatography  using a
15 X  3.2 mm glass column packed with 2% OV-101 on  100-120 Gas Chrom Q.
Nitrogen flow  rate was  25 ml/min, the  oven temperature was 190 °C, and the
injector and detector temperature was 210° C.
  Aroclor 1016 was quantitated by comparing the total height of all peaks in the

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366
     HANSEN, PARRISH AND  FORESTER
sample with the total height of all peaks in a standard of known concentration.
Recoveries were greater than 80%; data were not adjusted for recovery. All tissue
residues were determined on a wet-weight basis.

                          RESULTS AND DISCUSSION

Acute (96-hr) Exposure
   Aroclor 1016 was acutely toxic to the estuarine organisms tested (Tables 1 and
2). Shell growth in oysters  was inhibited greatly by exposure to 100 jug/liter for
96 hours. Sensitivities  of brown shrimp and grass shrimp were similar, and pin-
fish was the least sensitive species. Acute toxicities of Aroclor  1016 to oysters,
brown shrimp, and pinfish  were similar to that of Aroclor  1242 to  these  species
 (P. R.  Parrish, unpublished  data), and Aroclor 1254 to  oysters,  pink  shrimp
 (Penaeus duorarum), and pinfish (Duke et al., 1970).
   All animals accumulated Aroclor 1016 (Table 1). The quantities accumulated
depended on  the exposure concentrations and not on species. Whole-body con-
centrations in live animals ranged from 440 to 4200 X  the nominal concentration
 in test water and 1200 to 6700  X the measured concentration in test water.
                                    TABLE 1
        ACUTE TOXICITY TO  AND UPTAKE OF AROCLOR 1016 BY AMERICAN OYSTERS
          (Crassostrea virginica), BROWN SHRIMP (Penaeus aztecus), GRASS SHRIMP
                 (Palaemonetes pugio), AND PINFISH (Lagodon rhomboides)
                              IN 96-HouR EXPOSURES"
    Species
                   Test concentration (/^g/liter)
Nominal
                                   Measured
                                                    Effect
Whole-body residue
    g, wet weight)
C. virginica



P. aztecus



P. pugio



L. rhomboides



Control
1
10
100
Control
1
10
100
Control
1
10
100
Control
1
10
100
ND'
0.6
7.2
58
ND
0.9
8.9
33
ND
0.4
9.4
38
ND
0.8
6.9
56
0
10
38
93
0
8
43
100
8
33
38
93
2
5
0
18
ND'
4.0
32
95
ND
3.8
42
—
ND
1.1
22
44
ND
2.2
21
65
   " Effect is expressed as percent reduction in shell growth in oysters and death in shrimps and
  fish. Whole body residues are from animals alive at end of exposure period.
   6 ND, not detectable: <0.2 pg/liter in water; <0.2 Mg/g in tissue.

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                AHOCLOE 1016: TOXICTTY TO ESTUARINE ANIMALS
                                                           367
                                    TABLE  2
     ACUTE TOXICITY OP AROCLOR 1016 TO AMERICAN OYSTERS (Crassostrea virginica),
       BROWN SHRIMP  (Penaeus azlecus), AND GRASS SHRIMP (Palaemonetes pugio)"
            96-hour LC50 (/ig/liter)
                   Temperature (C)
                            Salinity (0/00)
  Species
Nominal
Mean
Range
Mean
                                                    Range
C. virginica
P. aztecus
P. pugio
10.2
10.5
12.5
30
31
30
25-32
29-32
29-32
29
29
29
26-31
28-30
25-30
   EC50:concentration expected to cause a 50 percent reduction in shell growth in oysters.
Chronic (42-day)  Exposure
  Toxicity of Aroclor 1016 to juvenile pinfish was greater in tests lasting 6 weeks
than in 96-hour exposures.  Pinfish seemed unaffected by 10 /xg/liter or less, but
died in concentrations of 32 and 100 /xg/liter (Table 3). Mortality began in the
second week of exposure. Fifty percent mortality did not occur in the third ex-
posure, for example, until the 33rd day at 32 ,ug/ liter and the 18th day at 100 /tg/
liter. Delayed mortality  of pinfish was  also observed with Aroclor 1254 (Hansen
etal, 1971).
  Most of the fish that died in the 42 day exposure exhibited symptoms of poison-
ing,  such  as  changed appearance and behavior. Initially,  their color darkened,
they stopped feeding, and they swam erratically with bodies inclined downward.

                                    TABLE 3
   TOXICITY AND UPTAKE  OF AHOCLOK 1016 BY PINFISH (Lagodon rhomboides) EXPOSED
                   FOR 42 DAYS IN THREE SEPARATE EXPERIMENTS
 Test concentration (pg/liter)
 	Mortality
   Nominal      Measured       (%)
                         Concentration in fish (Mg/g, wet weight)
                         Flesh
                   Flesh and skin    Whole fish
Control
0.1
1.0
10.0
Control
1.0
3.2
10.0
32.0
Control
10.0
32. 0'
100.0=
ND°
ND
0.8
3.0
ND
0.9
2.5
7.0
13
ND
6.8
21
59
36
16
48
38
12
16
16
28
445
6
6
50*
504
ND
0.7
5.1
60
0.5
4.0
34
63
140
ND
23
30
38
ND
0.8
6.3
90
0.6
6.0
39
76
180
ND
49
48
72
ND
2.4
11
166
0.5
17
65
170
620
ND
111
106
205
  " ND, not detectable: <0.2 Mg/h'ter in water; <0.2 Mg/g in tissue.
  * Mortality significantly greater than in control fish, a = 0.01.
  c Exposure terminated and tissues analyzed when 50% of the fish died: 33 days at 32 jig/liter
and 18 days at 100

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368
HANSEN, PARRISH AND FORESTER
Difficulty in swimming progressed until the fish swam with their tails and dorsal
fins breaking the water surface. Finally, the fish lost equilibrium, swam upside
down, and died. Affected fish  became  vulnerable to attack by other pinfish in
the tank. In the third experiment, the majority of dying fish exposed to 32 and 100
/ig/liter lost scales, skin and, finally, flesh in front of the dorsal fin. This  formed
lesions sometimes as deep as the neural  spine. This condition did not occur in fish
exposed to 32 jug/liter in the second experiment.
  Hepatocytes in liver sections of 13 control fish showed no unusual characteristics
when stained with HHE and  PAS or  oil Red O. The hepatocytes from 6 fish
demonstrated only a moderate PAS-positive reaction, indicating moderate  to light
glycogen reserves. In 7 other control fish, liver  sections stained with oil Red O
also  showed a  broad range of lipid patterns. Structure of livers of control fish
was  normal, being tubulosinusoidal in nature, with disseminated pancreas prom-
inent along  the course of the portal vein (Fig. 1).
  Eight  fish exposed  to  10  ^ig/liter of Aroclor 1016 for 42 days showed no
pathologic microscopic visceral characteristics distinguishable from control fish.
Half  of the fish samples were  paraffin-processed; half were prepared for frozen
sections.
  Pinfish exposed to 32 ^.g/liter of Aroclor 1016 had several liver and pancreatic
alterations that distinguished them from control fish and fish  exposed to 10 /ig/
liter.  Tissues from  8 fish were examined; half were paraffin-processed and half
                                                        •   j»  ,scr *
                                                Vfc^l* f \        *
                                                 -T^MPfct .*. vH,  *  •
                                                 a^ss^
   FIG. 1.  Section of  normal liver from control pinfish.  The  vacuoles in hepatocytes are
results of extraction  of lipid and/or glycogen during paraffin processing.  Note the normal
pancreatic exocrine tissue containing normal secretory deposite (arrows). ( X450).

-------
              AROCLOR  1016: TOXICITY TO ESTUABINE ANIMALS
369
    rt»
        W  +
    I^SiPfc*-*™
    ffifr^Msf*
      Jt v*   *.  i/>-s^':'
                *  ^ffiSs^
                   a.; 'r.jNrariSf^ai; £
                                 ««r ^.^,


  FIG. 2.  Section of liver from pinfish exposed to 32 /ig/liter Aroclor 1016 for 42 days. The
hepatocytes appear relatively dense with more prominent nuclei than in Fig.  1. Note Ihr lack
of lipid or glycogen vacuoles in hepatocytes. Small, abnormal vacuoles in pancreatic exocrine
tissue (arrows) distinguish fish exposed to 32 /ig/liter fiom control fish.  (X-150).

were studied as frozen sections. Hepatocytes appeared slightly enlarged and more
basophilic than in  the control fish (Fig.  2). Normal  liver cord orientation  was
somewhat altered and PAS-positive granules  accumulated at the edge of the
pancreatic acinar tissue in the liver  (Fig. 3). Less lipid material  existed in the
livers  of fish exposed to 32 jug/liter than  in control iish. This contrasts with the
heavy, abnormal accumulation of lipid in the livers of spot exposed to 6 /ig/liter
of Aroclor 1254 for 30 days (Couch, 1973). The most remarkable alteration in the
pinfish was the occurrence  of severe vacuolation in the pancreatic exocrine tissue
surrounding the portal veins (Figs. 2 and 3). This vacuolation was distinguishable
from normal  secretory vacuoles  and deposits in pancreatic tissue from control
fish because  those in exposed  fish were small,  abundant and  contained no
secretory granules (Fig. 1).
  After the first exposure,  16 pinfish from each control or Aroclor 1016-con-
taminated aquarium were  held in  PCB-free water, and -the salinity reduced to
determine if  ability of pinfish to survive osmotic stress  had been impaired by
exposure to sublethal concentrations  of Aroclor 1016.  (Aroclor 1254 reduced the
ability of pink shrimp (Penaeus duorarum) to withstand simss  of decreased
salinity, D. R. Nimmo. personal  communication.4) Salinity was '•• -wered from an

   D. R. Nimmo,  Gulf  Breeze Environmental Research. Laboratory, Gulf Breeze, Florida
32561.

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370
                       HANSEN, PARR1SH AND FORESTER
  Fio.  3.  Pigment  deposition (PAS-positive) between  pancreatic exocrine tissue and liver
parenchyma (arrow). Note  nature of small vacuoles in pancreatic tissue. This tissue is from
fish exposed to 32 MR/Hter Aroclor 1016. ( x 1000).
initial 23 %„ by 50% on each of four consecutive days (14, 7, 3.5 and 1.8 %0). None
of the  fish died until the salinity fell below 2 %0. At that salinity, mortalities of
control  and PCB-exposed fish were similar.
  Pinfish  exposed for 42 days to concentrations of Aroclor 1016 between 0.1 and
32 fig/liter  stored the chemical  in proportion to  the concentration in test water
(Table 3).  Concentrations in whole  fish ranged from 11,000 to 24,000 X the
nominal concentration in the test water and 14,000 to 55,000  X the measured
concentration in test water, whereas the concentration factor in spot (Leiostomus
xanthurus]  exposed for 42  days  to 1 /ig/liter of Aroclor 1254 was 30,000 X the
nominal concentration (Hansen et al., 1971).
  The  concentration of Aroclor 1016 in edible tissue was  less  than that in whole
fish. Concentrations in whole fish averaged 2.1 times those in flesh and  scaleless
skin and  2.8 times those in flesh.  Pinfish exposed to 1 //g/liter of Aroclor 1016
stored  quantities that exceeded the Food and Drug Administration's provisional
action-level for all PCB's (5 «g/g) in edible tissues (Table 3).

Chronic (56-day) Exposure
  Pinfish  exposed to 1  /ig/liter of Aroclor  1016 for 56  days accumulated the
chemical, maximum concentrations in  whole fish being attained in 21-28 days
(Table 4). In a similar study with Aroclor 12.54, whole-body concentrations of spot
stabilized at about the same time, 14-28 days  (Hansen et a]., 1971). Maximum

-------
               AROCLOR  1016: TOXICITY TO ESTUAHINE ANIMALS
371
                                 TABLE 4
 CONCENTRATIONS OF AROCLOR 1016 UG/G WET WEIGHT) IN PINFISH (Lagodon rhomboides)
           EXPOSED TO  1 MG/LITER OP THIS PCB (EACH SAMPLE CONSISTED
                          OF TISSUES FROM 10 FISH)
Concentration
Days of exposure
0
3
7
14
21
28
42
56
Depuration
14
28
56
Flesh
ND"
0.8
1.6
2.3
3.2
3.0
4.0
5.9

4.1
3.5
2.2
Flesh and skin
ND
0.9
3.4
3.3
4.3
6.8
6.0
8.3

7.8
6.6
3.9
Whole fish
ND
1.6
3.9
6.5
9.7
25
17
17

13.5
9.3
6.6
  0 ND, not detectable; <0.1 /*g/g.

whole-body residue in pinfish was 17,000  X  the nominal concentration in test
water.  Increases in concentrations in edible tissues were also rapid (Table 4),
but may not have  reached a maximum even after 56 days of exposure.
  The  quantity of Aroclor 1016 accumulated  by pinfish differed in the various
tissues  and organs. Fish  exposed to 1 /xg/liter  for 8 weeks accumulated 17 /xg/g
whole-body residue.  Concentrations  (/tg/g)  in other tissues or  organs  were:
gills, 23; skin,  19; liver, 16; brain, 8.7; muscle,  5.9; and remaining tissues, 22.
  Aroclor 1016 was lost  from the tissues after pinfish were placed in PCB-free
water  (Table 4). After  56  days of depuration,  concentrations in whole fish
decreased by 51%.  In  an  earlier study, spot which had accumulated Aroclor 1254
lost 66% after 56 days in PCB-free water  (Hansen et al, 1971).
  We examined chromatograms to compare the proportions of 9 peaks of Aroclor
1016 in reference  standards  (Fig. 4) with those peaks  from water and pinfish
tissue samples (Table 5). Chromatograms  of standards, tissue spikes, and water
samples were similar, while chromatograms of standards and tissue samples were
dissimilar.  Chromatograms of Aroclor 1016 from different pinfish tissues  (flesh,
flesh and  skin,  and  rest) were  similar. Chromatograms from all tissues had
smaller early eluting peaks, numbers 1, 2, and  3. Reduction in early eluting peaks
of Aroclor  1254 from shrimp and fish tissues was noted by Nimmo et al. (1971).
The  relative proportions  of the 9 peaks found in chromatograms from  pinfish
tissues early in the 56-day exposure, late in the exposure, and throughout the 56-
day depuration period were similar. We do  not know whether differences between
chromatograms from reference standards and chromatograms from tissue samples
reflect  alterations in Aroclor 1016 molecules, differential solubility, or other factors.
It is unlikely, however, that the PCB molecules were  altered, because no change
in relative  proportions of peaks was noted  throughout the 112 day experiment.

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372
HANSEN, PARRISH AND FORESTER
    FIG.  4.  Chromatogram  of 9  peaks  of  Aroclor 1016  reference  standard. Operating con-
  ditions: gas flow nitrogen 25 ml/min; injection  and detector temperature 210°C;  oven tem-
  perature 190°C; SH electron capture detector; 152.4 X 0.32 cm glass column packed with 2%
  OV-101 on 100-120 Gas Chrom Q.
                                       TABLE 5
     PERCENTAGES OF THE 9  MEASURED PEAKS FROM CHROMATOGRAMS OF AROCLOR 1016
      REFERENCE STANDARDS  AND FROM  TISSUES OF PINFISH  EXPOSED TO  1  ^G/LITER  OF
       AROCLOR 1016 FOR  56  DAYS AND  THEN HELD IN  PCB-FREE WATER FOR 56 DAYS
                                            Percentage of peak"
                                                      Chro-
                                                 	mato-
                                                  9   grams
  Reference standard          12.4   11.3  10.0  23.5  13.3   6.4   8.1   8.8   6.2    8
  All tissues through 14 days    2.4   5.3   1.8  39.6   7.7  10.3  12.1   9.4  11.4    7
    of exposure
  All tissues, days 21-56 of     2.5   5.0   2.1  33.2   7.8  11.9  11.3  10.3  15.9   12
    exposure
  All tissues during 56 day     1.0   1.7   0.3  38.2   2.8  15.0  12.4  11.9  16.7    7
    depuration

                     peak height
    - Determined as —   ,  .   	r~ X 100.
                  sum of nine peaks

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                 AHOCLOR 1016:  TOXICITY TO ESTAURINE ANIMALS              373

  The potential environmental hazard of a chemical is dependent upon its likeli-
hood of entering the environment and its  potential hazard to organisms.  Aroclor
1016 is  similar to other PCB's in its toxicity  to, and uptake  and retention by
estuarine  animals. Therefore, its  substitution for other  PCB's  reduces  environ-
mental hazard only if the policy of restricting sales to uses  not  likely to produce
environmental contamination is continued.

                               ACKNOWLEDGMENTS
   We thank Dr. ]. A. Couch for histopathological  examination of the pinfish, S. S. Foss for
preparing illustrations, and  the Monsanto Company  for providing Aroclor 1016.

                                   REFERENCES

BHOADHURST, M. G.   (1972).  Use and replaceability of PCB's. Environ.  Health  Perspect.
  2, 81-102.
BUTLER,  P.  A.   (1962).  Reaction  of some  estuarine mollusks to  environmental factors.  In
  "Biological Problems in Water Pollution" Third Seminar. U. S. Dept. of Health, Education
  and Welfare,  Public Health Serv. Publ. No. 999-WP-25, 1965: 92-104.
COUCH, J.  A.   (1973).   Pathologic effects of pesticides and  related chemicals on the livers
  of fishes. Proc. Fish. Path. Symp. AFIP. Univ. Wis. Press. In press.
DUKE, T. W.,  LOWE, J. I., AND  WILSON, A. J., JR.  (1970).  A  polychlorinated  biphenyl
  (Aroclor 1254®) in the water, sediment and biota of Escambia Bay, Florida. Bull. Environ.
  Contam.  Toxicol. 5, 171-180.
HANSEN, D. J.,  PARRISH, P. R., LOWE, J. I., WILSON, A. J., JR., AND  WILSON, P. D.   (1971).
  Chronic toxicity, uptake and retention of Aroclor® 1254 in two estuarine  fishes. Bull. Environ.
  Contam.  Toxicol. G, 113-119.
NIMMO,  D. R.,  BLACKMAN, R. R., WILSON, A. J., JR., AND FORESTER, J.  (1971).  Toxicity
  and distribution of Aroclor®  1254 in pink shrimp,  Penaeus duorarum. Mar. B:ol. (Berlin)
  11, 190-197.
MILLS, P.  A., ONLEY,  J. F., AND  GAITHER,  R.  A.   (1963).   Rapid method for  chlorinated
  pesticide residues in nonfatty foods. /. Assoc. Agric. Chem. 46, 186-191.
U.  S. FOOD AND DRUG ADMINISTRATION.  (1970).  "Pesticide  Analytical Manual." U. S. Dept.
  of Health, Education and Welfare.

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CONTRIBUTION NO. 174

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        AROCLOR® 1254, DDT AND DDD, AND
     DIELDRIN: ACCUMULATION AND LOSS BY
        AMERICAN OYSTERS (CRASSOSTREA
                      VIRGINICA)
      EXPOSED CONTINUOUSLY FOR 56 WEEKS l
                    Patrick R. Parrish
           U.S. Environmental Protection Agency
      Gulf Breeze Environmental Research Laboratory
            Sabine Island, Gulf Breeze, Florida
        Separate populations of oysters were  exposed
     continuously  for 56  weeks  to  0.01  jug/1  of
     Aroclor®  1254, p,p' -DDT and DDD, or  dieldrin
     and sampled  at 8-week  intervals  for  residues.
     Maximum concentrations based on body  weight
     (pig/g) occurred after  8  weeks of exposure,  but
     maximum  concentrations  based  on  absolute
     amount of toxicant accumulated (jag) occurred af-
     ter 56 weeks of exposure. After 8 weeks, average
     whole-body  residues    (wet weight)   from  five
     oysters analyzed individually were:  Aroclor 1254,
      1.65 Atg/g, 4.6 /ig; DDT (and metabolites DDD and
      DDE), 0.46 Mg/g, 1.0 ug; and dieldrin, 0.08 fig/g,
     0.2 ng. After 56 weeks,  residues  were:  Aroclor
      1254, 0.89 /jg/g, 25.7 ng; DDT and metabolites,
      0.37 /ug/g, 7.0 pg; and  dieldrin, 0.03 /ug/g, 0.6 pg.
      Seasonal  patterns of accumulation and loss of the
     three toxicants  were  similar.  Residues based on
     body weight (Mg/g) decreased 45%-81% in early
      July and  late October,  apparently as the result of
      spawning, and increased following these periods.
      This shows  that the life history of oysters must
      be considered when evaluating residue data from
      monitoring  programs.  Growth rate  (height  and
      in-water  weight) of exposed oysters was not dif-
      ferent from that of control oysters (Student's  t-
      test; o  = 0.01) Mortality was not significant in
      any group.

      1  Contribution No. 174, Gulf Breeze Environmental Research
        Laboratory.
      ®
        Registered trademark,  Monsanto Company, St. Louis,
        MO. Mention of commercial products or trade names does
        not constitute endorsement by the Environmental Protec-
        tion Agency.
Proc.  National  Shellfisheries Assoc.
64:  7.  (1974).

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CONTRIBUTION NO. 175

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Effects of  Aroclor® 1254  on  Laboratory-Reared Embryos
and Fry of  Sheepshead Minnows  (Cyprinodon variegatus)
     STEVEN C.  SCHIMMEL, DAVID J. HANSEN AND JERROLD FORESTER
                    Made in United States of America
        Reprinted from TRANSACTIONS OF THE AMERICAN FISHERIES SOCIETY
                       Vol. 103, No. 3, July 1974
                            pp. 582-586

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         Effects  of Aroclor®  1254  on Laboratory-Reared,  Embryos
        and  Fry  of  Sheepshead  Minnows  (Cyprinodon  variegatus)1

              STEVEN C. SCHIMMEL, DAVID J.  HANSEN AND JERROLD FORESTER
                              U. S. Environmental Protection Agency
                          Gulf Breeze Environmental Research Laboratory
                            Sabine Island, Gulf Breeze, Florida 32561
        (Associate Laboratory of the National Environmental  Research Center, Corvallis, Oregon)

                                         ABSTRACT
        Eggs of the sheepshead minnow (Cyprinodon variegatus) were artificially fertilized and main-
      tained at temperatures from 15 to  35 C and in  salinities from 0 to 35%0 to determine efficient
      culture conditions.  Fertilization was not affected by temperature or salinity ranges chosen,  but
      hatching success was greatest (x2; o = 0.01) at a temperature range of 24 to 35 C and a salinity
      range of 15 to 30%».
        Artificially fertilized sheepshead minnow eggs were exposed to  logarithmic concentrations of
      Aroclor  1254 (10.0 to 0.1 /xg/liter) in seawater averaging 30 C and 24%0 in  a flow-through
      bioassay.  Fertilization was  not affected but significantly fewer embryos  developed in the 10.0
      ,ug/liter concentration, and  fewer fry survived in concentrations greater than 0.1 /ig/liter.  Fry
      were more susceptible to  Aroclor 1254 than were embryos, juveniles, or adults.
   Polychlorinated biphenyls (PCB's)  occur in
 estuaries in many states (Butler 1973), and the
 occurrence of one, Aroclor  1254, in nearby
 Escambia Bay, Florida and its  acute  toxicity
 to  estuarine  animals  has been documented
 (Duke,  Lowe and Wilson  1970).  Hansen,
 Parrish  and  Lowe (1971)  found  5  /xg/liter
 of Aroclor 1254 toxic to the juvenile estuarine
 fishes,  pinfish  (Lagodon  rhomboides)  and
 spot  (Leistomus  xanthurus}, in  14- to  45-
 day bioassays.  Because Escambia Bay is a
 nursery  ground for  many marine  species  of
 fish,  it is important  to determine the effect
 of Aroclor 1254  on the early life stages  of
 these fish.
  The sheepshead  minnow (Cyprinodon vari-
 egatus) is found in brackish waters from Cape
Cod,  Massachusetts   to  Brownsville,  Texas
 (Hildebrand  1917).   It  is  important   in
estuarine food chains as  a voracious omni-
vore  and as  food  for  predators  such   as
croakers (Micropogon undulatus) and spotted
seatrout   (Cynoscion  nebulosus)   (Darnell
1958).  The size,  hardiness, high  fecundity,
and generation time of the sheepshead  minnow
make it  a nearly  ideal laboratory test fish.
  In  this research, we determined water tem-
  1 Contribution No. 175, Gulf Breeze Environmental
Research Laboratory.
  ® Registered trademark, Monsanto Co., St. Louis,
Mo.  Mention of commercial products does not con-
stitute endorsement by the Environmental Protection
Agency.
peratures and salinities suitable for the culture
of embryos and fry of the sheepshead minnow
and observed  the  effect of Aroclor  1254  in
water  on the various life stages of this  fish.

          METHODS AND  MATERIALS
  Adult fish were acclimated  for  1  wk  in
salt  water  averaging 25  C  and  20%0.  The
following week,  acclimated  female fish were
given  three intraperitoneal  injections  of 50
I.U. human chorionic gonatrophic hormone
at 48-hr intervals  to induce egg maturation.
Over 70%  of the  fish  produced viable eggs.
Eggs were  manually  stripped  and deposited
in 40  ml  of filtered  seawater.  Only large,
round,  clear eggs  were  selected  for  fertil-
ization.  Testes from  7-10  acclimated males
were excised, macerated  in  20 ml  of  filtered
seawater and mixed with eggs in a 100 ml
beaker.  Thirty  minutes  were  allowed for
fertilization. Each experiment  lasted as long
as was required  for embryos to hatch  (4 to
15 days) plus an additional 2 wk to determine
survival of  fry.  Artemia salina nauplii, with
no detectable levels of PCB, were  fed  to the
fry daily.
  We  investigated the effect  of temperature
on  hatching by  withdrawing  25 eggs  from
the  100-ml  beaker  with  a  wide-bore pipette
and  placing them  in  two 1-liter dishes  con-
taining  25   C,  20%0  seawater.  A  pair of
dishes  was  partially submerged in a bath  at
15, 20, 25, 30, or  40  C  in  one temperature
                                            582

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                SCHIMMEL—AROCLOR EFFECTS ON SHEEPSHEAD MINNOWS
                                         583
  FIGURE  1.—Dosing  apparatus:   A—oscillating
pump; a—pump  micro-switch;  B—mixing  bottles;
C—vacuum lines;  D—receiving bucket; E—solenoid;
e—solenoid micro-switch;  F—injector lever  appa-
ratus; G—SOcc. syringe; H—toxicant delivery tubing;
I—water delivery  tube.
test and 22, 24, 26, or 28 C in another. One
hour  later, when temperatures in the dishes
equaled  the  bath  temperature,  fertilization
was confirmed microscopically. The criterion
for fertilization  was  cleavage.  Dishes  were
checked  daily during the 3-wk static  tests
and dead or nonfertile eggs and larvae  were
removed. The criteria for embryo death was
an opaque, white, fungal growth and for the
larvae, a white coloration of  the trunk  mus-
culature.  Temperatures were  monitored con-
tinuously and were  within 1 C of the desired
temperatures.   Salinity  alterations   due  to
evaporation were compensated for  daily  by
addition of distilled water.
  Fertilization  procedures for  the  salinity
study were identical to those  of the temper-
ature study except that the number of eggs in
each salinity varied from 35 to 75, depending
on egg  availability, and the temperature was
30  C.  Filtered  seawater from  Santa  Rosa
Sound,  Florida was diluted to give  salinities
of 0,  5,  10, 15,  20, 25,  30,  and 35%0.  The
30 and  35%o concentrations were attained  by
adding  Rila®  salts to  the  water  from the
Sound.  Salinities, checked daily  with  a TS®
refractometer, were  within 2%o of the desired
level.
  An Aroclor 1254,  flow-through  bioassay
  ® Registered trademark, Rila  Products,  Teaneck,
N.J.
  ® Registered trademark, American Optical Corp.,
Buffalo, N. Y.
  FIGURE 2.—Distribution apparatus:  J—distribution
box; K—egg/larvae  trays;  L—Petri dishes; M—
siphon.
was accomplished using  culture  conditions
determined  suitable  in  the  temperature and
salinity tests.  Eggs were fertilized in control
water  and  placed in four  Petri  dishes,  20
eggs per dish, in each PCB concentration and
control.   Fertilization  was  confirmed  after
1  hr.  Temperatures in both  tests averaged
29 C (range 27-31 C) and  salinity averaged
24,%0  (range  16-32%0).  T1--; salinity fluc-
tuated with that of Santa Rosa Sound.  The
toxicant  dosing system used in this test was
a  modification  of the apparatus  of  Brungs
and Mount (1970). In our system, the toxicant
and carrier were  injected  into  the delivery
tube leading to  each  exposure tank (Fig.  1).
Our apparatus  allowed  us  to  retain the  ad-
vantages  of the Mount and  Brungs  (1967)
dosing apparatus and  to select  any concen-
tration of toxicant while maintaining the same
concentration   of  carrier  in  each  toxicant
concentration.
   Seawater  used in this bioassay was pumped
from Santa  Rosa Sound into a constant head
box in the  laboratory.  An  oscillating pump
(1A), regulated by a rheostat, pumped water
from the head box through a 20-^-pore poly-
propylene filter  and into the compartments in
the dosing apparatus. After  all compartments
were filled,  the  self-starting siphon in the last
compartment emptied into a receiving bucket
(ID). The  weight of the bucket being filled
operated  two   micro-switches.   One   switch

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 584
TRANS. AMER. FISH. SOC.,  1974,  NO. 3
 TAISLE 1.—Ejjcct of temperature on fertility, time-to-
   hatch, hatch success and survival oj fry for 2  wk
   following hatching oj sheepshead  minnows (Cy-
   prinodon variegatus).  Temperatures varied  ± 0.5
   C;  salinity  averaged 20r/,e, ± 1%,
                    TABLE  2.—Effect  of  salinity on  fertility,  time-to-
                     hatch, hatch success  and  survival of fry for 2-wk
                     following hatching  of  sheepshead minnow  (Cy-
                     prinodon  variegatus).  Temperature  30 ± 2  C;
                     salinity varied ± !%„

per.iture
(°C)
15
••><)
O.T
°4
°5
°6
°8
30
35
40
Eggs Hatching
Num-
her
50
50
50
50
50
25«
50
50
50
50
Fertile
%
92
98
100
96
98
92
90
94
94
94
Days
#
No hatch
No hatch
15.0
9.0
7.0
7.0
6.0
4.5
4.0
4.0
Survival
%
0"
Ob
28. Ob
50.0
83.7
78.0
55.5
82 9
70.2
8.5b
Frv
try
survival
%
Ob
0"
100
100
80
100
92
90
100
50
   ••' Loss of 25 eggs due to spillage.
   b Significantly less than the greatest fertility or survival
 (X-; a = 0.01).
 (la) shut  off the  oscillating pump and  the
 other  (le)  activated  a solenoid  (IE)  that
 raised  the  lever  of the  injection  apparatus
 (IF). This rising lever was connected to gears
 that forced the barrels of six 50-ml syringes
 (1G)  equal distances.  Mixing  bottles  (IB)
 received  injections  from  a control  syringe
 containing  the carrier  (polyethylene  glycol
 200).
   Stock solutions of the carrier  and Aroclor
 1254 were mixed to give concentrations 0.1,
 0.32, 1.0, 3.2 and 10.0  ^g of  Aroclor per
 liter of water. The water then flowed to the
 distribution  boxes  (Fig.  2) containing one
 large and four small compartments,  each with
 a  standpipe or  siphon.   Each  compartment
 filled completely during each cycle and the
 siphon  delivered  water to  the  aquarium in
 which  adults  and  juvenile  fish  were  held.
 Water  remaining in the  four small compart-
ments  flowed slowly out through submerged
holes in the standpipes into each  of four con-
tainers holding eggs or fry. Each  container
received 100 ml of  water per cycle. The num-
ber of cycles per day ranged from 100 to 140
and was sufficient to replace water in each egg
container  at  least three times each day.
  Aroclor 1254  concentrations   in  test  and
control  water  were determined   weekly  by
gas chromatography. Methods were the same
 as those of  Nimmo  et  al.  (1971), except that
an  OV-101 column  was  used  and all  peak
heights were averaged for PCB quantification.
Measured PCB concentrations  in  test water
Eggs
Salinity
%
0
5
10
15
^0
25
30
35

Number
60
35
75
35
75
35
75
35
Fertile
%
35
46
35
51
44
54
49
37
Hatching
Days
#
No hatch
7.0
7.0
5.5
6.0
5.5
5.5
6.0
Survival
%
0"
12"
35"
67
67
53
73
30"
Frv
rry
survival
%
0
50
89
92
100
90
93
50
                                                 " Significantly less than the greatest fertility or survival
                   were  typically 35% to 60%  of nominal  con-
                   centrations;  control  water contained no  de-
                   tectable PCB (<.03 ^g/liter). Recovery ef-
                   ficiency  of  Aroclor  1254 was greater than
                   60%.  Measured  concentrations were not cor-
                   rected for percentage recovery.
                     Dissolved  oxygen  was  determined weekly
                   by the modified  Winkler  method  (Strickland
                   and Parsons  1968).  Concentrations  seemed
                   adequate and above 50%  saturation.
                     The chi-square (^2; a = 0.01) test was used
                   in the statistical analysis of the data.  In tem-
                   perature  and salinity  studies  the  maximum
                   positive response was compared with  all other
                   responses  to  determine the most efficient cul-
                   ture conditions.  Data in the  two temperature
                   experiments were analyzed separately. Probit
                   analysis was  applied to the data to determine
                   the LC50 of  the Aroclor 1254.

                             RESULTS  AND DISCUSSION
                     Temperature influenced  the number of days
                   required  for hatching  (time-to-hatch)   and
                   affected the  survival of embryos and fry of
                   the sheepshead minnow (Table 1).   Sheeps-
                   head  minnow  eggs  hatched  at water  tem-
                   peratures from 22-40 C but  none hatched at
                   lower   temperatures.   Hatching success  was
                   greatest  at   temperatures  ranging  from  24
                   to  35  C.   Fry survival did not differ in the
                   range  of 22  to  35 C.  The  longest  time-to-
                   hatch  was  15 days at 22 C,  and  decreased
                   rapidly, leveling  off at about 4 days  at tem-
                   peratures ranging from 30 to 40 C.
                     Salinity  affected survival   of  embryos  and
                   fry  but did  not  affect  time-to-hatch  (Table

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                 SCHIMMEL—AROCLOR EFFECTS ON SHEEPSHEAD MINNOWS
                                          585
 TABLE 3.—Effect of Aroclor® 1254 on fertility, time-to-halch, hatch success and survival of fry for 2 vik fol-
   lowing hatching of sheepshead minnow (Cyprinodon variegatus). Temperature averaged 30 C (range 27-
   31 C);  salinity averaged 24%c  (range 16-32%c)
Concentration (#g/liter)

Nominal
Control
0.1
0.32
1.0
3.2
10.0

Measured
< 0.03 /Kg/liter
0.06
0.16
0.36
1.04
3.48
Eggs

Number
160
160
160
160
160
160
Fertile

86
86
86
91
85
91
Hatching
Days
#
7.0
6.5
7.0
7.0
7.0
6.5
Survival
%
79
69
73
82
75
57*
Frv
Survival
%
89
95
62"
63 «
40"
8"
   " Significantly different from control fish (x=; a = 0.01).
 2).  Survival  to  hatching  was  greater  at
 salinities from 15 to 30%o and  fry  survival
 did not differ  in that  range. Under  natural
 conditions, adult and juvenile sheepshead min-
 nows occur in a wide salinity range (Simpson
 and Gunter 1956). Our laboratory data show
 that  embryos and fry  also  can survive in a
 wide salinity range.
   Aroclor  1254 affected the survival of both
 embryos and fry of  the sheepshead  minnow
 but had no effect on time-to-hatch.  Embryos
 developed and  hatched at all PCB concentra-
 tions, but hatching succes at 10 //.g/liter  was
 significantly  less  than  that  of  control eggs
 (Table 3).  After the eggs  hatched,  survival
 of  fry was significantly less than control fry
 at  all PCB concentrations except 0.1 /xg/liter.
 Mortality  increased with  an increasing con-
 centration of PCB.  Three-week LC50  in ex-
 posed embryos  and fry was  estimated  at 0.93
 jug/liter  (S.E. = 0.17 ^g/liter).  Fry  did  not
 die immediately after hatching but were killed
 over  most  of the  2-wk  period  of post hatch
 exposure.  Many  of the  dying fish  developed
 fin rot as previously  described in other PCB
 exposed  fishes  (Hansen  et al. 1971).
  Aroclor  1254  was  more  toxic  to  fry  of
 sheepshead minnows than it was to juveniles,
 adults or to the  fertilization of eggs (Table 4).
 In  3-wk  exposures to  the same concentrations
 of  this PCB, mortality  of the  juveniles was
 significantly  greater  (24%)  in the  10 jug/
 liter concentration. Adult fish were  not killed
 in a 3-wk exposure but became lethargic and
 exhibited fin  rot.  The concentration of PCB
 in the fry compared to that in the water (con-
centration factor) was  nearly identical with
that of adult fish. Concentration  factors  in
fry  ranged  from  1.6  to  3.2 X 104  and those
 for  adults ranged from 1.1 to 3.2 X 104.  A
 24-hr  static test in  10.0 /xg/liter PCB showed
 no inhibition of fertilization  of  sheepshead
 minnow eggs. The  greater sensitivity of early
 life stages of  this fish to Aroclor 1254 stresses
 the need for  bioassays  designed to assess the
 effects of such chemical  pollutants on these
 stages.
   The  relationship  between  Aroclor  1254
 contamination in Escambia Bay, Florida and
 the effects of the PCB  on various life stages
 of C.  variegatus in  our bioassay is not clear.
 Water  and fish samples  (12 species  not in-
 cluding C. variegatus) were taken 1 to  28 mo
 after the reported spill that led  to  the Bay's
 contamination.  PCB residues, found in 10 of
 the  37  water  samples,  ranged  from non-
 detectable (<0.03 ^g/liter)  to  0.07 ^g/liter.
 Concentrations  in the  Bay  water  were  less
 lhan those found lethal in  our bioassays. Fish
 in the estuary  can  accumulate  the Aroclor
 from the water, food, and sediment. Concen-
 trations in the  fish ranged from 0.29 to 20
,u,g/g  (average  4.0 /xg/g)  whole  body  wet
weight.  Adult sheepshead  minnows averaged
9.3 /ig/g  when  exposed to 0.32 /Ag/liter PCB
TABLE  4.—Relative  susceptibility  of  various  life
  stages of  sheepshead minnows  (Cyprinodon vari-
  egatus) to Aroclor® 1254 in it flow-through  sys-
  tem.  Criteria are infertility of eggs and death of
  embryos, fry, juveniles, and adults


Life stage
E«4K fertilization11
Embryos
Fry
Juveniles
Adults

Exposure
( days )
1
7
21
21
21
Concentration
Maximum
not affecting
10.0
3.2
0.1
3.2
10.0
(AH/liter)
Minimum
affecting

10.0
0.32
10.0
—
                                                 " 24-hr static test.

-------
586
TRANS. AMER. FISH. SOC,  1974, NO. 3
for 4 wk in the laboratory  (Hansen,  Schimmel
and Forester  In  press).   Eggs  produced  by
these exposed fish were fertilized and although
adults seemed normal and embryos appeared
to  develop normally,  survival  of fry  in the
first  week after  hatching was  significantly
reduced compared to  that of unexposed  fry.

             ACKNOWLEDGMENTS

   We thank Gary Cook  and Dennis Knight
for chemical analyses of  water  samples from
the Aroclor 1254 test  and Steve Foss for pre-
paring the illustrations.

              LITERATURE  CITED

BRUNCS,  W. A., AND D. I. MOUNT.  1970.  A  water
    delivery system  for small  fish-holding  tanks.
    Trans.  Amer. Fish.  Soc.  99(4): 799-802.
BUTLER,  P. A.  1973.   Organochlorine residues  in
    estuarine mollusks,  1965-1972.  National  Pesti-
    cide Monitoring  Program.  Pestic.   Monit.  J.
    6(4):  238-362.
DARNELL, R.  M.  1958.   Food habits of fishes and
    larger  invertebrates  of   Lake  Pontchartrain,
    Louisiana, an estuarine community.  Publ.  Inst.
    Mar. Sci. Univ. Tex. 5: 354-416.
DUKE, T. W., J.  I. LOWE, AND  A.  J. WILSON, JR.
                         1970.   A  polychlorinated  biphenyl  (Aroclor
                         1254®)  in  the  water,  sediment, and biota  of
                         Escambia Bay, Florida.  Bull. Environ. Contain.
                         Toxicol. 6:  171-180.
                     HANSEN,  D. J., P. R.  PARRISH,  J. I. LOWE,  A.  J.
                         WILSON, JR., AND P. D. WILSON.   1971.  Chronic
                         toxicity, uptake, and retention of Aroclor® 1254
                         in two estuarine fishes.  Bull. Environ. Contam.
                         Toxicol. 6:  113-119.
                     	, S. C. SCHIMMEL, AND J. FORESTER.  In press.
                         Aroclor® 1254 in  eggs  of sheepshead minnows:
                         Effect  on  fertilization  success and  survival  of
                         embryos and fry. Proc. 26th Annu. Conf. South-
                         east.  Ass. Game Fish. Comm.
                     HILDEBRAND, S.  F.  1917.  Notes on the  life  history
                         of the  minnows   (Gambusia affinis  and Cy-
                         prinodon variegatus).  Rep.  U. S. Comm. Fish.,
                         1917: 1-14.
                     MOUNT, D. I., AND  W. A.  BRUNCS.  1967.  A sim-
                         plified dosing  apparatus  for  fish  toxicology
                         studies. Water Res. 1:  21-29.
                     NIMMO, D. R., R. R. BLACKMAN, A. J. WILSON, JR.,
                         AND  J.  FORESTER.  1971. Toxicity  and  distri-
                         bution of  Aroclor® 1254 in  the pink  shrimp
                         Penaeus duorarum. Mar. Biol. (Berlin)  11(3):
                         191-197.
                     SIMPSON, D. G., AND G. GUNTER.  1956.  Notes  on
                         habitats, systematic characters and life histories
                         of Texas salt  water cyprinodontes. Tulane Stud.
                         Zool. 4: 115-134.
                     STRICKLAND, J.  D. H., AND  T.  R. PARSONS.  1968.
                         A practical  handbook of  seawater analysis. Fish.
                         Res.  Board  Can. Bull.  167: 21-26.

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CONTRIBUTION NO. 176

-------
               PROCEEDINGS

                   OF THE
NATIONAL SHELLFISHERIES ASSOCIATION
       OFFICIAL PUBLICATION OF THE NATIONAL
           SHELLFISHERIES ASSOCIATION;
          AN ANNUAL JOURNAL DEVOTED TO
              SHELLFISHERY BIOLOGY
                 VOLUME 64
       Published for the National Shellfisheries Association. Inc. by

           Economy Fainting Co., Inc., Boston, Maryland
                   JUNE 1974

-------
Proceedings of the National Shellfisheries Association
Volume 64  1974
                  TRENDS IN PESTICIDE RESIDUES IN SHELLFISH
                                      Philip A. Butler'
                         U.S. ENVIROMENTAL PROTECTION AGENCY
                             OFFICE OF PESTICIDES PROGRAMS
                                  GULF BREEZE FLORIDA

                                         ABSTRACT
            The National Estuarine Monitoring Program,  a cooperative effort between the
         State and Federal Governments,  collected and analyzed shellfish samples for per-
         sistent synthetic pesticides at monthly intervals during the years 1965-1972 in 15
         coastal states. The recently completed study of the 8000-plus analyses demonstrates
         that: (1) the residues found, primarily DDT and its metabolites, were  universally
         too low to have human health significance, (2) areas of both high and low residues
         were clearly defined geographically, (3) in some areas there has been a trend towards
         a  wider distribution of smaller residues, and (4) there has been a marked  decline
         generally in DDT residues since 1968 when peak levels in molluscs were detected.
              INTRODUCTION

  During the period 1965-1972, samples of oysters
and other bivalve molluscs were collected at month-
ly intervals at about 180  estuarine locations to
determine  the  incidence and magnitude  of
pesticide residues along the Atlantic, Pacific and
Gulf of Mexico coasts. More  than  8000  samples
were screened for the presence of 12 of the more
persistent  chlorinated pesticides.  In  the  later

years,  chlorinated  biphenyls  or PCB's  were in-
cluded in  the analytical procedures. This report
briefly summarizes the implications of  some of
the principal findings. A  detailed  report of the
sample collections   and  analyses  has  been
published recently (Butler, 1973).
               BACKGROUND
  Oysters exposed to varying concentrations of
pesticides  under  controlled  conditions in  the
laboratory  demonstrate their  sensitivity  to these
pollutants.  In aquaria  with  flowing  unfiltered
1 Contribution No. 176, Gulf Breeze Environmental Research
 Laboratory, U.S. Environmental  Protection Agency, Gulf
 Breeze, FL 32561.
seawater, for example, as little as l.O^g/kg (ppb)
of DDT inhibits oyster shell growth by about 20
percent in  a   4-day  period.  One n g/g  (ppm)
inhibits shell deposition completely at water tem-
peratures  of about 17-20 C (62-68'  F) (Butler,
1966).
  Concentrations as high as these were not an-
ticipated in the natural  environment and so  it
was  of importance  in  the  development of  a
proposed monitoring  program  to  discover that
oysters were sensitive to  the presence of DDT in
ambient water  at levels as low as 10 x 10~12(10
parts per trillion). Exposure of oysters for 7 days
to this  extremely  low concentration led to the
formation of DDT residues in the tissues of about
70/ug/kg, a biological magnification of 70,000x.
DDT levels of this  magnitude  might be  an-
ticipated in the marine environment since it  is
less than the solubility of DDT in water. Further
laboratory  experiments  demonstrated  that
oysters  and other  molluscs would  be reliable as
biological  tools to  monitor estuarine ecosystems
because of  this tendency to  concentrate per-
sistent chemicals (Table 1).
  Additional experimentation showed  that con-
taminated  oysters cleansed themselves of resi-
                                             77

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78
                                                                                P. A. BUTLER
TABLE 1. Uptake  of DDT by eastern oysters maintained  in flotving seawater.  Exposure period
7-15 days  in different tests. (Butler, 1968)


Concentration in  water     Residue  in  oyster     Biological magnification
(ug/kg) or (ppb)
10.0
1.0
0.1
0.01
0.0001
control
te/g) - fan)
150.0
30.0
7.0
0.72
0.07
0.06
(xlOOO)
15
30
70
70
0

dues when returned to clean  water. The disap-
pearance time or biological half-life of the resi-
dues in molluscs was short;  a  matter of days
as compared to months or  years in fish  and
other vertebrates.  Consequently,  when  oysters
were sampled at about 30-day intervals, it  was
possible  to  estimate  when   pollution   entered
the estuary and thus gain some  insight as to
its source.
                  FINDINGS
  Analyses of monthly collections of oysters in
an  estuarine  complex near  Pensacola,  Florida
revealed  a  seasonal  pattern  of DDT  residues
later found to  be typical of estuaries in many
coastal areas. In  the  period  February through
May there was a  gradual  increase  in  residue
magnitude to a seasonal  high in late spring.
This was  followed by  a decline to background'
levels typical of the  remainder of the year.  It
seems  reasonble to  assume  that  this  picture
results primarily  from  the  occurrence  of  sea-
sonal rains  and  surface  water run-off which
carry  soil  eroded  from  agricultural lands
through the  river  basin and into the estuary.
In contrast to  this picture, there was a second
seasonal  peak of  DDT  residues  during  the
winter months in samples from the South Texas
coast.  This  bimodal  cycle  probably  reflected
the  double cropping of  farm  lands  and  the
associated  multiple applications  of  pesticides
in this sub-tropical  area.
  A  more   obvious  result  of   the  seasonal
agricultural  use  of  DDT  was  indicated  by
residues in oysters monitored in the Caloosahat-
chee River  Basin in southwest  Florida. Here,
peaks in  DDT residues in oysters appeared soon
after the   seasonal  application  of  DDT   to
maturing crops of sweetcorn and  sugarcane.  In
1967-68, the  early spring residues were  nearly
ten times the level  of residues found during the
other months of the two-year  monitor  period
(Fig. 1). In some  instances,  seasonal and .annual
patterns  of pesticide  accumulation  in estuarine
oysters could be associated with the dumping  of
industrial  effluents  or  with  the   control   of
noxious insect populations. The declining use  of
DDT in  stable-fly control in northeast Florida,
for example,  was clearly  indicated  by annual
decreases in DDT residues in local oyesters in the
period 1965-1968. DDT residues were no longer

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PESTICIDE RESIDUES IN SHELLFISH
                                            79
FIG.  1.  DDT residues  in  the  eastern oyster
from  the  Caloosahatchee  River  Basin,  Lee
County,  Flo.,  by month  of collection  (Butler,
1973).
identified after  the  substitution  of  methoxy-
chlor, a less persistent compound, for fly control
in  1969. More  importantly, methoxychlor  was
not  detected  in  the  monitor  samples  in  suc-
ceeding years.
  The  significaace of  DDT  residues  in  field
samples  may  be  judged  to some extent by the
magnitude of DDT residues observed in labora-
tory experiments.  Market-size  eastern  oysters
were exposed to 1.0 n g/kg of DDT in  flowing
seawater for  a 10-day period  and then 12 were
individually  analyzed.  The sum of  DDT and its
metabolites found  as  residues ranged  from a
low of 3.9 to a high of 23.2 p.g/g with an arith-
metic average of 10.1 Mg/g (ppm) for the group.
This value   is  about  twice  the   largest  DDT
residue observed (5.39 ppm) in all of the molluscan
samples  collected  in  the  7-year  monitor-
ing period. It should be noted further  that DDT
residues  were less than l.Opg/g in 99.5 percent
of the 8000+  monitoring samples  analyzed.  It
appears  that despite the  build-up of large  resi-
dues  in  higher  carnivores  DDT  pollution  of
estuarine waters  generally has  been at levels
below 1 .Opg/kg (Fig.  2).
  It must  be  emphasized  that   the  observed
levels of DDT residues in molluscs  were too low
to have  human  health significance or  to have
demonstrable effects  on the oysters themselves.
Only in  isolated area were  DDT  residues  high
enough to indicate that  some elements of the
estuarine fauna  might have  been   damaged by
                                                   20
                                                   10
                                                 DDT
                                                 ppm
                                                            INDIVIDUAL
                                                             VARIATION
                                                                         EXPERIMENTAL
                                                                         AVERAGE
                 ll
                                                                                MONITORED
                                                                                MAXIMUM
Jl
 MONITORED
 MAXIMUM
 IN 99 5 %
	CL
 FIG.  2. DDT residues in experimental and field-
 collected  oysters  in  tHe period  1965-1972.  See
 text for explanation.


the magnification  and  accumulation  of DDT
residues in the food web.
  With these  observations in mind,  the  overall
findings of  the monitoring data  may  be sum-
marized geographically. The lowest average in-
cidences of  DDT  positive  samples were found,
in order,  in  Washington, Georgia  and  Maine.
Highest incidence rates  were observed  in New
Jersey, Alabama, North Carolina and California.
However,  the  largest residues of DDT  and its
metabolites  were found  in  samples collected in
the estuaries  of  Florida, California  and Texas.
  There  has  been a  well-defined but  gradual
decline in both the incidence and magnitude of
DDT  residues  in oysters  during the  monitoring
period in  most areas.  In  some  coastal  estuaries
this trend is obscured  by the lack of uniformity
in  the timing  of sample  collections  or  by
variations  in   the kind  of  mulluscs  collected.
Despite erratic fluctuations  in  magnitude  and
the fact  that individual  residues  were never
very  high,  it  is  clear that  DDT pollution in
estuaries  was  at  peak levels'in  1966-1967  and
gradually declined thereafter. This 1966 peaking
in the magnitude of residue  data parallels, not
unexpectedly,  the findings  of peak  DDT levels
in  fresh  water   monitoring  samples   in   1966
followed  by sharp  declines  in  1967 and  1968
(Lichtenberg, et al., 1970).
   Data demonstrating  the   overall  decline in
the magnitude of DDT residues in  estuarine
molluscs are  summarized in  Fig. 3. This  dia-

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80
                               P. A. BUTLER
     TIINOl IN rtlCINT OCCUIIIIMCI OF DDT MSIDUIS IN OTITID1
                   • ISIDUI  RAMOI - ppm
        1965-70 I 1971
                 1964-70 I 1971
                          1965-7O ; 1971
                                   1965-70 ;  1971
FIG.  3. Percentage occurrence of DDT residues
in  estuarine  bivalves in  the period 1965-1970
o.s  compared  to 1971. Data summarize  about
7000  analyses  of  more  than  75,000  animals.
See text for expla-nation.

gram shows that, in the period 1965-1970, 39%
of  all samples  contained  negligible DDT resi-
dues, less  than  0.01  ppm.  while  in 1971 this
value  increased  to 56%.  Conversely,  in these
same years the  percentage  of samples contain-
ing  larger  residues  declined sharply.  In  Cali-
fornia and  a  few other isolated locations there
was  an exception  to  this  generalized  picture
in  that  the  number of samples  with  DDT  re-
sidues  in  the  0.01-0.10  ppm  range  increased
during  the   monitoring  period  but  the per-
centage  of   samples   with  high  residues
decreased  sharply  as  in  other  coastal  areas.
Apparently in these drainage basins, there was
an increased  cycling of DDT in the  trophic web
accompanied  by  a diminution of the  amount
present  in  individual animals. In  other  words,
 DDT  residues   were distributed  more  thinly
among more  members of the biota.
   At ten monitoring stations in North Carolina,
 where  the  continuity of sample  collections was
 especially  good,  the data provide  a clear picture
 of annual  trends  in  DDT  pollution levels. Fig.
 4 shows  the  decline  in the percentage  of sam-
 ples having  measurable DDT  residues  as  com-
 pared with  the approximate percentage  decline
 in  the  domestic  use of  DDT  throughout  the
 United States after 1965.  DDT supplies in that
year have  been  arbitarily  designated as 100%
for  the basis of this comparison (USDA, 1967-
                                                  100
                                                  eo
                                                  60
                                                                         FIICINTACt OKLINi IN NOITM
                                                                         CAIOtIHA OTSIII SAMKil
                                                          PIDCIMTACI DICLINI IN
                                                          DDT US! IN U.S.A.
                                                            (1964 = too*)
                                                    L
                                                                                   1970
FIG.  4.  Percentage decline in  DDT residues
of  more  than  10 n g/kg  in North  Carolina
oysters as  compared to the decline in the con-
sumption of DDT in  the  entire  United States
in the period 1965-1971.

72).  These  .data  demonstrate the progressive
loss of residual DDT from "at  least one segment
of an estuarine ecosystem following the general-
ized  curtailment  in  the  agricultural  use  of
DDT, and  controvert the  widespread  belief
that environmental  problems with  DDT  would
be  longlasting  regardless  of how soon  its  use
was terminated.
                 SUMMARY
  These  monitoring data show  that  the  domes-
tic  use of DDT  resulted in only nominal resi-
dues in estuarine molluscs  in the United  States
in the period 1965-1972.  By extrapolation from
laboratory data,  we may  infer that  these  re-
sidues were too  small to  have a  deleterious
effect  on  the   growth  and  productivity  of
estuarine  bivalves.   Despite  the   chemical
stability of DDT, curtailment in its  use "was al-
most immediately  reflected by  declines in  the
magnitude  of  residues in  estuarine  molluscs.
The  data  establish  a  baseline for  levels of
DDT pollution  in estuaries  during the monitored
period, and suggest that  despite the  stability
of a  synthetic  organic  compound it
may  become biologically  unavailable
soon after its widespread use  is dis-
continued.

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PESTICIDE RESIDUES IN SHELLFISH
                                           81
                                     LITERATURE CITED
Butler, P. A. 1966. Pesticides in the marine en-
    vironment J.  Appl.  Ecol. 3(Suppl.):253-259.
Butler, P. A. 1968. Pesticide residues in marine
    molluscs.  In  Proc.  Natl.  Symp. Estuarine
    Pollut.,  Stanford Univ., Stanford,  Calif.
    1967. p. 107-121.
Butler, P.  A. 1973.  Organochlorine  residues in
    estuarine molluscs,  1965-197?,  —  National
    Pesticide  Monitoring   Program.  Pestic.
    Monit.  J. 6: 238-362.
Lichtenberg,  J.  L., J. W.  Eichelberger,  R. C.
    Dressman  and  J.  E.  Longbottom,   1970.
    Pesticides  in  the surface  waters of the
    United   States   —  a  5-year  summary,
    1964-68. Pestic. Monit. J. 4:71-86.
USDA, Agricultural Stabilization and Conserva-
    tion  Service.  The   Pesticide  Review.
    1967-1972. Washington, D.  C.

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CONTRIBUTION NO. 177

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 Reprinted from the proceedings of the 27th Annual Conference of the Southeastern Association of
 Came and Fish Commissioners, 1973.


       AROCLOR® 1254 IN EGGS OF SHEEPSHEAD
        MINNOWS: EFFECT ON FERTILIZATION
  SUCCESS AND SURVIVAL OF EMBRYOS AND FRY1
        David J.  Hansen, Steven  C. Schimmel and Jerrold Forester
                 U. S.  Environmental Protection Agency
             Gulf Breeze Environmental Research Laboratory
                Sabine Island, Gulf Breeze, Florida 32561
                      (Associate Laboratory of the
       National Environmental Research Center,  Corvallis,  Oregon)

                             ABSTRACT

  The effect of the polychlorinated biphenyl (PCB), Aroclor 1254, in eggs of the
sheepshead minnow,  Cyprinodon variegatus,  on fertilization  success  and
survival of embryos and fry was investigated. Adult fish were exposed for four
weeks to 0.1,0.32,1.0, 3.2 or 10.0 ug//of PCB, then injected twice with 50IU of
human chorionic  gonadotrophin to stimulate egg production. The eggs were
fertilized,  placed  in PCB-free  flowing seawater and observed for mortality.
Fertilization success was unimpaired by concentrations in eggs as high as 201
ug/g but survival  of embryos and fry was reduced.  Usually, fry from eggs con-
taining 7.0 ug/g or  more began dying 24-48 hours  after hatching. If this PCB
affects other species similarly, then populations of fish that presently have com-
parable concentrations in their eggs may be endangered.

                           INTRODUCTION

  Polychlorinated biphenyls (PCB's) have been found frequently in estuarine
organisms from many states (Butler, 1973) and in an estuary near the Gulf
Breeze Laboratory (Duke et al., 1970). PCB's in seawater are toxic to and ac-
cumulated by juvenile shrimp,  crabs, oysters and fishes (Nimmo, et al., 1971;
Lowe, et al., 1972 and  Hansen,  et al., 1971). The relationship between the
amount accumulated  by fish  and  subsequent  effects is  poorly understood.
However, PCB's in eggs may decrease fertility and survival in early stages of em-
bryonic development in Atlantic salmon, Salmo salar (Johannsson et al., 1970),
and PCB's have been  implicated in poor reproductive success of striped bass,
Morone saxatilis (Anonymous, 1971). Because reproductive success with both
fishes varied, the exact relationship of success to concentration of PCB in eggs
remains unclear.
  Our study was conducted to determine the effect of one PCB, Aroclor 1254,
on fertilization success of eggs of sheepshead minnows, Cyprinodon variegatus,
and on survival of embryos and fry. Aroclor  1254 was selected because we found
eggs from striped bass that exhibited decreased reproductive success contained a
PCB whose chormatograms closely resembled Aroclor 1254. Sheepshead min-
nows were selected because they can be readily exposed in the laboratory and
reproductive success is excellent.

                    MATERIALS AND  METHODS

Test fish
  Adult sheepshead minnows were seined from ponds on laboratory grounds
and acclimated to laboratory conditions for four days before exposure. During
  'Contribution No. 177, Gulf Breeze Environmental Research Laboratory. ®Registered trademark, Monsanto Com-
 pany, St. Louis, Mo. Mention of commercial products or trade names does not constitute endorsement by the En-
 vironmental Protection Agency.


                                  420

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acclimation, mortality was less  than 1% and  no abnormal behavior was
observed.  Females averaged 42.5 mm standard length, range 35-52 mm, and
males averaged 42.8 mm, range 35-52 mm. During acclimation and exposure,
fish were fed commercial fish  food that contained  no detectable PCB (  0.01
ug/g).

Adult exposure
  We exposed 20 female and 10 male fish in aquaria containing none, 0.1, 0.32,
1.0, or 3.2 ug//of Aroclor 1254 and exposed 25 females and 15 males to 10 ug//
for four weeks in  an  intermittent-flow bioassay. The apparatus used  was a
modification of that of Brungs and Mount (1970). In our modification, Aroclor
1254 and carrier, polyethylene  glyco! 200, were injected into seawater each time
the apparatus cycled. Each cycle siphoned water to  six 807 test aquaria. The in-
jection device was operated by a solenoid that raised a lever each cycle turning
gears on six injectors and pushing the plungers of six50cc syringes. Each of the
approximately 150 daily cycles delivered 1.51 of filtered 30C seawater, 11 ug of
carrier and appropriate amounts of PCB to each aquarium. Water and carrier
without PCB were delivered to the control aquarium. Salinity of water averaged
17 o/oo,  range 5 to 28 o/oo.

Egg fertilization, embryo and fry survival
  The effect of Aroclor 1254 in eggs was determined by enhancing egg produc-
tion in exposed fish by hormonal injection, fertilizing the eggs artificially and
monitoring their development in flowing PCB-free seawater. Female sheep-
shead minnows were injected  intraperitoneally with 50 I. U. human chorionic
gonadotrophic hormone on exposure-days 25 and 27. On day 28,  eggs were
stripped manually from five females from each aquarium and those from each
female placed in individual beakers containing 40 ml of filtered 30C seawater.
Ninety-three of 96 females that survived produced eggs. Eggs from a female were
fertilized with excised macerated testes from a male from the same aquarium. In
addition, eggs from five control fish and two fish surviving exposure to 10 ug//
PCB were fertilized by males exposed to 1.0 ug//. Twenty-five eggs from each
fish were placed in Petri dishes to which a nine cm high collar of SOOunitex mesh
was glued. Dishes were submerged 7 cm in the 80/ aquarium which received ap-
proximately 2251 of filtered PCB-free seawater per day; average salinity was 18
o/oo, range 10-27 o/oo.  Success of fertilization was confirmed by checking
microscopically for cleavage 1.5 hours after fertilization. Thereafter, dishes were
checked daily to determine survival of embryos and  fry. Dishes remained in the
aquarium for 34 days.  Fry were fed brine shrimp nauplii or dry commercial fish
food daily.

Chemical analyses
  Concentrations  of Aroclor  1254 in water, eggs and fish were determined by
electron capture gas-chromatography. Unfiltered  water  samples from each
aquarium  were analyzed weekly during the four-week exposures of adults. At
the end of the adult exposure,  concentrations were determined in the fertilized
eggs from each fish and in surviving adult males and females. Also, fry that hat-
ched from  these eggs  and survived for four weeks in  PCB-free water were
analyzed for Aroclor 1254 content. Analytical methods for water, eggs and fish
were the same as those of Nimmo et al. (1971), except than an OV-101 column
was used and all peak  heights  were summed for PCB quantification. Recovery
efficiency of Aroclor 1254 exceeded  80%.  Measured concentrations were not
corrected for percentage recovery.
Manufactured b> George Fra?er. 4528 Pitt Street. Duluth, Minn. 55804.

                                  421

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Statistical analysis
  Probit analysis was used to determine whether increasing concentration of
PCB in eggs increased the effect on fertilization success and on survival of em-
bryos and fry. The X2test for independent samples was used to compare data for
eggs from individual unexposed and exposed fish. Differences were considered
real at « = 0.05 for probit analysis and « = 0.01 for X2 tests.

                     RESULTS AND DISCUSSION

  Aroclor 1254 in water was toxic to and accumulated by adult sheepshead min-
nows  exposed for four weeks (Table 1). Mortality offish was negligible, except
in the aquarium receiving 10 ug//. Dying fish in this aquarium typically became
lethargic, ceased feeding, and some developed  fin rot. Fish accumulated the
PCB in direct proportion to the concentration in the water and concentrations in
fish ranged from  15,000 to 30,000 X the nominal concentration in the water.
Concentrations in  males and  females were similar.  Concentrations of the
chemical in  eggs  from exposed adult  fish were proportional to the concen-
trations in the fish and concentrations in female fish were 1.8 to 2.3 times greater
than the concentrations in their eggs. The PCB exposure apparently did not alter
the percentage of females producing eggs or their fecundity.
  Fewer embryos and fry from eggs of exposed fish survived than did embryos
and fry from eggs of control fish (Table 2). The percentage of the eggs fertilized
was not affected, but survival of embryos to hatching was less in eggs  from fish
exposed to 10 ug//. Survival rate of fry in the first week following hatching was
less in eggs from fish exposed to 0.32 to 10.0 ug// than in eggs from unexposed
fish. The estimated LC50 was 6.1 ug/ g; 95 percent confidence limit equals 3.5 to
11.8 ug/g. Fry typically began to die one or two days after hatching, about the
time they started feeding. If fry survived the first week, there seemed to be no ad-
ditional  mortalities related  to  PCB during  three  weeks  of additional
observation. Concentrations of Aroclor 1254 in surviving fry were similar, 0.26-
0.56 ug/g, and not  proportional to concentrations in eggs.
  Embryo survival decreased at the highest concentration of PCB in eggs and
fry  survival decreased with increasing concentration  of PCB  in eggs. The
amount in eggs was critical because it was the sole source of PCB for the em-
bryos and fry reared in PCB-free water. PCB in milt was probably not critical to
fertility and  survival because when eggs from control fish were fertilized with
milt from either control or 1.0 ug/ / exposed males, survival rate of embryos and
fry was not altered (Table 2). Survival rate of fry hatched from eggs containing
7.0 ug/g or more of PCB was significantly less than the lowest survival rate of
eggs from any of the five control fish (Table 3).
  If the effect of PCB in eggs of other fishes is similar to that found with sheep-
shead minnows — and we have no data to support this view — then variations in
published information concerning the chemicals relation to spawning success
could be explained. Atlantic salmon eggs containing up to  1.9 ug/ g of PCB had
decreased fertility and survival of early embryos, but survival of late embryos
and sac fry was unimpaired (Johannsson et al., 1970). Chesapeake Bay striped
bass eggs containing PCB's had decreased fertility and survival of newly hatched
fry (Anonymous,  1971). Our analysis of eggs from eleven striped bass from the
Eastern shore of Chesapeake Bay showed that the eggs  contained about 2.5 to
8.7 ug/g of a PCB resembling Aroclor 1254. Because concentrations of PCB in
eggs of sheepshead minnows as high as  201 ug/g were not accompanied  by
decreased fertility and only minimal embryo mortality, it seems unlikely that
decreased fertility and embryo survival  in Atlantic salmon and striped bass
could be related solely to PCB in their eggs. Diminished survival of newly hat-
ched striped bass fry,  however, could be PCB-related since concentrations in

                                  422

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their eggs were similar to those in sheepshead minnow eggs which produced fry
whose survival was poor.
                         LITERATURE CITED

Anonymous. 1971. The striper — this century's dinosaur. Stripers Unlimited
     1971 Directory and Guidebook, pp. 11-62.
Brungs, W.  A. and D. I. Mount. 1970. A water delivery system for small fish-
     holding tanks. Trans. Am.  Fish.  Soc. 99(4):799-802.
Butler, P. A. 1973. Organochlorine residues in estuarine mollusks,  1965-1972.
     National Pesticide Monitoring Program. Pestic. Monit. J. 6(4):238-362.
Duke, T. W., J. I. Lowe, and A. J. Wilson, Jr. 1970. A polychlorinated biphenyl
     (Aroclor 1254®) in the water, sediment and biota of Escambia Bay, Flori-
     da. Bull Environ. Contam.  Toxicol. 5(2): 171-180.
Hansen, D.  J., P. R. Parrish, J. I. Lowe,  A. J.  Wilson, Jr. and P. D. Wilson.
     1971. Chronic toxicity, uptake and retention of Aroclor® 1254 in two estu-
     arine fishes. Bull. Environ.  Contam. Toxicol. 6(2):113-119.
Johannsson, Nils, S. Jensen and M. Olsson. 1970. PCB-indicators of effects on
     fish. In "PCB Conference, Wenner-Gren Center", Sept. 29, 1970. pp. 59-
     68. Natl. Environ. Prot. Bd., Stockholm.
Lowe, J. I., P. R. Parrish, J. M. Patrick, Jr. and J. Forester. 1972. Effects of the
     polychlorinated  biphenyl Aroclor® 1254 on the American oyster (Cras-
     sostrea  virginica). Mar. Biol. (Berl.) 17(3):209-214.
Nimmo, D. R., R. R. Blackman, A. J. Wilson, Jr. and J. Forester. 1971. Toxic-
     ity and  distribution of Aroclor® 1254 in the pink shrimp (Penaeus duorar-
     um). Mar.  Biol.  (Berl.) 11(3):191-197.
                                   423

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Table 1.   Toxicity and uptake of Aroclor® 1254 by adult sheepshead minnows (Cyprinodon variegatus) exposed for 28 days in an in-
          termittent-flow  bioassay. Thirty fish were tested per concentration. Residue analyses are for a minimum of 7 male and  17
          female fish and eggs from 5 fish.
TEST CONCENTRATION
(ug//)
Nominal
Control
0.1
0.32
1.0
3.2
10.0
Measured
ND*
0.09
0.14
0.39
1.1
5.6
MORTALITY CONCENTRATION IN FISH
% (ug/g, wet weight)

7
13
7
10
3
95
Males
0.64
2.5
9.7
—
49.
—
Females
0.47
1.9
9.3
25.
49.
—
Eggs
0.52
0.88
5.1
11.
27.
170.**
FEMALES
GRAVID
100
89
100
100
94
100
AVERAGE
FECUNDITY
No.
97
121
110
127
152
138
              *ND = not detectable, < 0.03 ug//
             **Eggs from two fish.

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Table 2.  Success  of fertilization of eggs from sheepshead minnows exposed
          to Aroclor®  1254 for four weeks, survival of embryos from fertile
          eggs until hatching and survival of hatched fry. Eggs are from five
          fish per concentration (except two fish from 10 ug//).  Percentages
          are in parentheses.
CONCENTRATION
Adult
Exposure
(ug//)
Control
0.1
0.32
1.0
3.2
10.0
Control F
and 1.0
ug//M
Eggs
Average
(ug/g)
0.52
0.88
5.1
11.
27.
170.
—


Tested

125
125
126
126
126
50
128


EGGS
Fertile

125 (100)
120 (96)
120 (95)
121 (96)
118(94)
46 (92)
119(93)


FRY
Hatched

116(93)
106 (88)
107(80)
118 (98)
100 (85)
33 (72)*
113 (95)


Survival Survival
Week 1 Weeks 2,3,4

1 1 1 (95)
103 (97)
82 (77)*
31 (26)*
23 (23)*
0(0)*
112 (99)



106 (96)
98 (95)
76 (93)
26 (96)
19 (83)
O(-)
1 1 1 (99)


             'Significantly less than control hatching or one week fry survivals (X2;tt = 0.01).

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Table 3.  Comparison of concentration of Aroclor® 1254 in eggs (wet weight)
         from sheepshead minnows exposed to the PCB for four weeks and
         success of fertilization of eggs and survival of embryos and fry.
Concentration
in Eggs
(ug/g)
0.41
0.44
0.45
0.53
0.57
0.76
0.84
0.91
0.98
1.1
3.7
4.1
5.4
5.4
7.0
7.1
9.5
10.8
13.2
13.3
23.6
25.7
27.9
28.6
28.7
145.
201.

Tested
25
25
25
25
25
25
25
25
25
25
25
26
25
25
25
26
25
25
25
25
25
25
25
25
26
25
25
EGGS
Fertile
25
25
25
25
24
25
23
25
23
25
23
26
24
24
23
23
24
25
25
24
23
24
25
25
21
23
23
FRY
Hatched
23
24
25
24
19
20
21
25
17
24
22
23
19
22
21
22
23
25
25
23
23
16
23
25
13
15
18
Adults
Week 1 Weeks 2,3,4 from
Aquaria
23
19
25
24
18
20
21
23
17
24
21
22
13
21
5
2
7
8
9
5
4
6
0
5
8
0
0
22
19
24
23
18
18
19
23
15
23
20
21
12
19
4
2
7
5
7
5
4
6
0
3
6
0
0
(ug//)
Control
"
"
"
0.1
Control
0.1
"
"
"
0.32
"
"
"
"
1.0
"
"
"
ft
3.2
"
"
"
"
10.0
"
                                  426

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CONTRIBUTION NO. 178

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Reprinted from the proceedings of the 27th Annual Conference of the Southeastern Association of
Came and Fish Commissioners, 1973.


                DIELDRIN:  EFFECTS ON SEVERAL
                      ESTUARINE ORGANISMS1

              Patrick R. Parrish,' John A. Couch, Jerold Forester,
                    James M.  Patrick, Jr. and Gary H. Cook
                     U.  S. Environmental Protection Agency
                 Gulf Breeze Environmental Research  Laboratory
                    Sabine Islnad, Gulf Breeze, Florida 32561
              (Associate Laboratory of the National Environmental
                      Research  Center, Corvallis,  Oregon)

                                 ABSTRACT

      Tests were conducted to determine (1) the acute toxicity of dieldrin in flowing
    sea water to American oysters (Crassostrea virginica),  pink shrimp (Penaeus
    duorarum),  grass shrimp  (Palaemonetes pugio) and  sheepshead  minnows
    (Cyprinodon variegatus) and (2) the rate of dieldrin  uptake and depuration by
    spot (Leiostomus xanthurus). Acute (96-hour) ECSO's were: oysters,  12.5 ug/1;
    pink shrimp, 0.9 ug/1; grass shrimp, 11.4 ug/1; and  sheepshead minnows 23.6
    ug/1.  Spot exposed to 0.0135, 0.075, 0.135, 0.75 or 1.35 ug/1 for 35 days ac-
    cumulated the chemical with maximum concentrations attained in 11 to 18 days.
    Maximum whole-body residue (wet-weight) was 6,OOOX the concentration in
    test water. Spot contained no detectable dieldrin residues at the end of a 13-day
    depuration   period   in  dieldrin-free  water. Tissue  alterations,  such  as
    subepithelial edema in gill lamellae and severe lysis and sloughing of the small
    intestine epithelium, occurred  in spot exposed to 1.35 ug/1 for four days.

                              INTRODUCTION
      The effects of dieldrin on estuarine organisms were investigated because this
    toxicant is present in most of  this nation's estuaries. Dieldrin was the second
    most commonly detected organochlorine compound in molluscs from 15 coastal
    states during the period 1965-1972 (Butler, 1973).
      Dieldrin, a chlorinated hydrocarbon insecticide,  is acutely  toxic to certain
    non-target   estuarine animals   under  field conditions (Harrington and
    Bidlingmayer, 1958).  Dieldrin  is also acutely toxic to several estuarine animals
    exposed for  48 hours  under  laboratory conditions (Lowe,  personal com-
    munication1).
      This study was conducted to determine (1) the acute (96-hour) toxicity of
    dieldrin  to American oysters  (Crassostrea virginica), pink shrimp  (Penaeus
    duorarum),   grass shrimp  (Palaemonetes  pugio)   and sheeshead  minnows
    (Cyprinodon variegatus) and  (2) the rate of uptake and depuration  in spot
    (Leiostomus  xanthurus).

                        MATERIALS AND  METHODS

    Test animals
      All test animals except pink shrimp were collected near the  Gulf Breeze
    Laboratory and acclimated to laboratory conditions  for at least ten days before
    exposure. Pink shrimp were purchased from a local bait dealer and acclimated
    similarly. If  mortality in a specific lot of animals exceeded 1% in the 48 hours
    immediately  preceding the test  or if abnormal behavior was observed during ac-
    climation, those animals were not used. Oysters tested were from 24 to 43 mm in
   'Contribution No. 178, Gulf Breeze Environmental Research Laboratory
    'Jack 1. Lowe, Gulf Bree?e Environmental Research Laboratory, Sabine Island, Gulf Bree/e, FL 32561.


                                      427

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height; pink shrimp, 52 to 81 mm rostrum-telson length; grass shrimp, 18 to
24 mm  rostrum-telson length; sheepshead minnows, 11 to 14 mm standard
length; and spot, 22 to 38 mm standard length. Animals were not fed during
acute toxicity tests but they could obtain food (plankton and other particulate
matter)  from the unfiltered sea water in which they were maintained. In the up-
take and depuration study, spot were fed commercial fish food that contained no
pesticide  or  polychlorinated  biphenyl  contaminants detectable  by gas
chromatographic analysis.

Test Conditions
   Acute toxicity of dieldrin was determined by exposing ten animals per
aquarium to different concentrations for 96 hours. Two  20 1 aquaria were used
for each concentration. Technical grade dieldrin (92% active ingredient) was dis-
solved in reagent grade acetone and metered at 0.14 ml/hr into unfiltered sea
water that entered  each aquarium at 75 1/hr. Two control aquaria received the
same quantities of water and solvent but  no dieldrin.
   The rate of uptake and depuration of dieldrin by spot was determined by ex-
posing  35 animals  per aquarium in duplicate 20 laquaria  to 0.0135,  0.075,
0.135, 0.75,  or 1.35 ug/1 for 35 days and then placing them in dieldrin-free
water for 14 days. Sea water flow rate was 751/hr per aquarium. Technical
grade dieldrin (92% active ingredient) was dissolved in reagent grade acetone
and metered at 15  ml/hr into the unfiltered sea water.
   Effect of dieldrin was assessed by measuring reduction  of shell growth of
oysters (Butler, 1962), by determining mortality in shrimps and fish, and by ex-
amining for pathological changes fish from the uptake and depuration ex-
posure.

Histopathological examination
   Gills and viscera from live fish from the uptake and retention exposure were
examined. Tissues were fixed in Davidson's fixative, stored in 70% ethyl alcohol
and then processed for paraffin sections (7 u). Sections were stained with Harris
hematoxylin and eosin. Six fish from each concentration were removed for tis-
sue preparation after 4 days of exposure. Six fish from concentrations of 0.135,
0.075, and 0.0135 ug/1 were removed at the end of the 35-day exposure, and six
fish from concentrations of 0.135 and 0.075 ug/1 and control were removed after
the 13-day depuration in dieldrin-free water.

 Chemical analyses
Concentrations of dieldrin  in water and animals were determined by electron
capture gas chromatography. Unfiltered water samples from each concentration
were analyzed once during the 96-hour exposures and weekly during the uptake
and depuration exposure. Concentrations in animals that survived the 96-hour
exposures were determined as whole-body residures. In  the uptake depuration
exposure, six fish were removed from each connentration after 4,11 18. 25 and
 35 days and after 13 days  in dieldrin-free water. Concentrations were deter-
 mined for pooled samples of liver, muscle (all muscle above lateral line on left
 side  of fish with scalless skin), and remaining tissues.  Results  from  the two
 pooled samples of each tissue from each concentration were averaged. Resi-
 dues in all  tissues were summed to  compute  concentrations of dieldrin in
 the whole fish.
   Tissue samples that weighed more than 5 g were prepared for analysis by mix-
 ing with anhydrous sodium sulfate in a blender. The mixture was extracted for 4
 hours with petroleum ether in a Soxhlet apparatus. Extracts were concentrated
 to approximately  10 ml and transferred in 3- to 4-ml portions to a 400 x 20 mm
 chromatographic column that contained 76 ml of unactivated  Florisil. After

                                   428

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each portion settled in the column, vacuum was applied until all solvent was
evaporated.  This was repeated with three 5-ml rinses. The residue was eluted
from the column with 70 ml of a 9:1 mixture (v/v) of acetonitrile and distilled
water. The eluate was evaporated to dryness and the  residue transferred to a
Florisil column (Mills, et al., 1963) with petroleum ether. Dieldrin was eluted in
the 15% ethyl ether-in-petroleum ether fraction.
  Tissue samples that weighed less than 1 g were analyzed by the micro method
described in  the Pesticide Analytical Manual, Volume III (U. S. Food and  Drug
Administration, 1970).
  Water samples were extracted with petroleum ether, the extracts dried with
anhydrous sodium sulfate and evaporated to approximately 1 ml. The concen-
trates were transferred  to a size 7 Chromaflex1  column containing 1.6 g Florisil
topped with 1.6 g anhydrous sodium sulfate. Dieldrin  was eluted with 20  ml of
10% ethyl ether in hexane and the eluates were adjusted to an appropriate
volumn for analysis.
  All samples were analyzed by electron capture gas chromatography using a
182cm x 2 mm ID glass column packed with 2% OV-101 on 100-120 mesh Gas
Chrom Q. Nitrogen flow rate was 25 ml/min, the oven temperature was 190° C,
and the injector and detector temperature was 210° C. Recovery exceeded 85%;
data were not adjusted for recovery. All tissue residues were determined on a
wet-weight basis.

Statistical analyses
  Data  from the acute (96-hour) exposures were analyzed statistically. Oyster
shell growth data were analyzed by unweighted least  squares and shrimp and
fish mortality data  were -analyzed by maximum liklihood profit analysis
(Finney, 1971).

                     RESULTS AND DISCUSSION

Acute (96-hr) exposures
  Dieldrin was acutely toxic to the estuarine organisms tested (Tables 1 and 2).
Shell growth in oysters was appreciably inhibited by exposure to32  ug/1 for 96
hours. Pink  shrimp were more sensitive to dieldrin than were grass shrimp, but
significant numbers of both these crustaceans died when exposed  to concen-
trations in the low parts-per-billion (ug/1) range.
  All animals accumulated  dieldrin  (Table 1). The  quantities  accumulated
depended on the species and the exposure concentration. In live oysters, whole-
body (meats only) concentrations ranged from 2,000 to 5,OOOX nominal concen-
trations in test water and 2,400 to 21,500X measured concentrations.  In an
earlier experiment at this laboratory, oysters chronically exposed toO.Olmg/lof
dieldrin accumulated 8,OOOX the concentration in test water after 8 weeks ex-
posure (Parrish, 1973). In live pink shrimp, whole-body concentrations ranged
from only 240 to 250X nominal concentrations in test water and 280 to  420X
measured concentrations.  In live grass shrimp, whole-body concentrations
ranged from 330 to 660X nominal concentrations in test water and from 470 to
750X measured concentrations.  In  live sheepshead  minnows, whole-body
concentrations ranged from 2,000 to  4,OOOX nominal concentrations in test
water and from 3,500 to 7.300X measured concentrations.
'Mention of commercial products or irade names does nol constitute endorse men! by th« U. S. Emironmenlal Prelec-
tion Agency.
'Present Address: Bionomics Marine Laboratory. Route0. Bo.x 1002. Pensacola HI.32507.


                                  429

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Uptake and depuration
  Spot exposed to 0.0135,0.075,0.135,0.75 or 1.35 ug/1 of dieldrin for 35 days
accumulated the chemical, maximum concentrations being attained in 11 to 18
days (Table 3). Fish in some concentrations began to lose dieldrin after body
concentrations had peaked, even though the exposure continued and dieldrin
concentrations in test water remained constant (Table 4). Unlike our findings,
DDT concentrations in pinfish (Lagodon  rhomboides) and Atlantic croaker
(Micropogon undulatus) exposed to 0.1 and 1.0 ug/1 increased for 14 days, then
remained relatively constant for 21 days (Hansen and  Wilson,  1970).
  Dieldrin was accumulated in greatest quantity in the liver of spot, where max-
imum concentration was  113,OOOX that in test water.  Maximum concentration
in muscle was  11 ,OOOX that in test water and maximum concentration in whole-
body was  6,OOOX that in test water.
  Spot lost all detectable dieldrin  residues after a 13-day depuration period in
dieldrin-free sea water (Table 3). Pinfish lost 87% of  DDT residues and Atlan-
tic croaker lost 78% of accumulated DDT when held  in pesticide-free water for
56 days (Hanson and Wilson, 1970).  Similarly,  goldfish  (Carassius auratus)
have been reported to eliminate  l4C-dieldrin from  various tissues more ra-
pidly than DDT (Grzenda et  al., 1972). Thus, the  flushing rate  of dieldrin
in fish appears to be faster than that of DDT.
   Fish exposed to 1.35 ug/1 showed degenerative changes in gill and visceral tis-
 sue  after  4 days of exposure. Gill lamellae from three of six fish exhibited
 subepithelial edema (Fig. 1). A similar condition was  observed in gills of cut-
 throat trout (Salmo clarki)  exposed chronically to endrin (Eller, 1971) and in
 gills of goldfish exposed chronically to mirex(V;an Valihet  al., 1968). Alteration
 of visceral tissue included severe lysis and sloughing of the  muco'sal epithelium
 of the anterior small intestine (Fig. 1) and apparent inflamation of the underly-
 ing  lamina propria in three  of six fish.
   Fish examined at the end of the exposure (from concentrations of 0.135,
 0.075, and.0.0135 ug/1) and at the end of the depuration (from concentrations of
 0.135  and 0.075 ug/1) showed no significant differences from control fish.
   Dieldrin is a persistent chlorinated hydrocarbon insecticide (Wurster,/1971)
 and, as shown by our study, is acutely toxic to an estuarine mollusc, two crus-
 taceans and a fish. Concentrations of dieldrin shown by our study to be acutely
 toxic to estuarine animals, as well as concentrations which are chronically toxic,
 should be kept out of the estuarine environment.
                                  430

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Table  I.  Acute toxicity of dieldrin  to  and  uptake by American  oysters
          (Crassostrea virginica),  pink shrimp (Penaeus duorarum), grass
          shrimp (Palaemonetes pugio), and sheepshead minnows (Cyprino-
          don variegatus) during  96-hour exposures. Effect is expressed as
          percentage  reduction  in shell growth for  oysters and death for
          shrimps and  fish. Whole-body residues are  from animals  alive
          at end of exposure.
SPECIES WATER CONCENTRATION EFFECT WHOLE-BODY
(ug/1) (%) RESIDUE

C. virginica




P. duorarum





P. pugio





C. variegatus





Nominal
Control
1.0
3.2
10.0
32.0
Control
0.01
0.32
1.0
3.2
10.0
Control
3.2
10.0
32.0
100.0
320.0
Control
1.0
3.2
10.0
32.0
100.0
Measured
<0.01
0.23
5.8
6.7
13.0
<0.01
0.014
0.19
0.9
2.5
11.4
ND'
2.8
7.1
27.1
57.4
65.7
<0.01
0.52
2.2
6.0
17.6
13.1

0
18
0
24
61
0
0
25
55
70
100
0
20
30
85
100
100
0
0
0
10
65
100
(ug/g, wet weight)
0.022
4.95
13.85
20.0
80.5
0.016
<0.01
0.08
0.25
0.76

0.09
2.1
3.3



1.1
3.8
12.8
34.0
62.4

               'Not detectable;<0.005 ug/l.
                                   431

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  Fable 2.  Acute  toxicity of dieldrin  to  American oysters  (Crassostrea
         virginica), pink shrimp (Penaeus duorarum), grass shrimp (Palae-
         monetespugio), and sheepshead minnows (Cyprinodon variegatus).
         Effect is expressed as percentage reduction in shell growth for oy-
         sters  and  death for shrimp  and fish. Confidence limits (95%) are
         in parentheses.
SPECIES
                 96-HOUR EC50     TEMPERATURE   SALINITY
                      (ug/1)                (°C)            (o/oo)
               Nominal    Measured   Mean   Range   Mean   Range
                 12.50       31.20      16.6   14.5-19.0   30.8   30.0-32.5
C. virginica

P. duorarum
P. pugio
              (4.80-20.2)  0.60-61.80)
                 0.93
0.70
              (0:52-1.48)  (0.39-1.15)
                 11.39
8.64
              (7.47-16.71)  5.92-12.05)
C. variegatus     23.57
             (17.47-32.03)
                             10.00
19.6   18.2-21.0   26.0  22.0-30.0
22.5  21.4-23.5   30.8  28.5-33.0
         13.8   12.0-15.5 31.5-33.0
 Table 3.  Uptake and depuration of dieldrin by spot (Leiostromus xanthurus)
          exposed to  0.135, 0.075, 0.135, 0.74 or  1.35 ug/1 in flowing sea
          water. Residue concentrations (wet-weight) are the average of two
          samples of pooled tissue from three fish.
LIVER








MUSCLE








WHOLE-
BODY




DAYS
Exposure
4
11
18
25
35
Depuration
13
Exposure
4
11
18
25
35
Depuration
13
Exposure
4
11
18
25
35
Depuration
13
CONCENTRATION, ug/g
Control
NO
ND
ND
ND
ND

ND

ND
ND
ND
ND
ND

ND
Control
ND
ND
ND
ND
ND

ND
.0135
0.08
_b
0.42
0.15
0.31



0.029
_b
0.029
0.029
0.030


.0135
0.029
_D
0.031
0.033
0.045


.075
0.52
3.90
1.10
1.20
0.55

ND

0.07
0.44
0.12
0.11
0.15

ND
.075
0.43
0.15
0.07
0.15
0.12

ND
.135
0.98
15.3
2.0
1.4
0.47

ND

0.16
1.45
0.15
0.24
0.20

ND
.135
0.63
0.52
0.23
0.29
0.27

ND
.75
1.8
12.9
17.5
5,8C




0.81
1.40
1.20
0.81C



.75
1.2
1.9
2.0
0.6C



1.35
10.2







2.6






1.35
2.9




             "Sample lost.
              Analysis of one sample only.
                                  432

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Table 4.  Concentration (ug/1)  of dieldrin in test water on days 4, 11,  18,
         25 and 35 of uptake and depuration exposure of spot (Leiostomus
         xanthurus).
NOMINAL
Control
0.0135
0.075
0.135
0.75
1.35
MEASURED
ND
0.015
0.075
0.11
0.55
0.70
ND
0.019
0.052
0.12
0.45

ND
0.010
0.070
0.13
0.50

ND
0.016
0.057
0.15
0.68

AVERAGE
ND
0.016
0.067
0.11


ND
0.015
0.064
0.12
0.55
0.70
                                    O^^r.SL,^'.,-
           Photomicrographs of tissues from  spot  (Leiostomus xanthurus)
           exposed to dieldrin. 1: Normal gill tissue from fish exposed 35
           days to 0.075 ug/1. (X450) 2: Gill tissue from fish exposed 4 days
           to  1.35 ug/1.  Note  subepithelial  edema  in  lamellae. (X450) 3.
           Normal small intestine tissue from  fish exposed 35 days to 0.075
           ug/1. (X450) 4:  Small intestine tissue from fish exposed 4 days to
           1.35 ug/1. Note severe  lysis and sloughing of mucosal epithelium.
           (X450).
                                 433

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                        LITERATURE CITED

Butler, Philip A. 1973. Organochlorine residues in estuarine mollusks, 1965-72
    — National Pesticide Monitoring Program. Pestic. Monit. J. 6(4): 238-362.
                1962. Reaction of some estuarine mollusks to environmen-
    tal factors. In:  Biological problems in water pollution. Third Seminar.
    U.  S.  Dept. Health, Educ., Welfare,  Public Health  Serv.  Publ.  No.
    999-WP-25, 1965:92-104.
Eller, Lafayette L.  1971. Histopathologic lesions  in cutthroat trout (Salmo
    clarki) exposed chronically to the insecticide  endrin.  Am.  J. Pathol.
    64(2): 321-336.
Finney, D. J.  1971.  Probit  analysis. (Third ed.) Cambridge  Univ.  Press,
    Cambridge, England. 333 p.
Grzenda, A.  R., W. J. Taylor, and D.  F.  Paris.  1972. The elimination and
    turnover of I4C - dieldrin by different goldfish tissues. Trans. Amer. Fish.
    Soc. 101(4): 686-690.
Hansen, David J. and A. J. Wilson, Jr. 1970. Significance of DDT residues
    from the estuary near Pensacola, Fla. Pestic.  Monit.  J. 4(2): 51-56.
Harrington, R.  W. and  W.  L.  Bidlingmayer.  1958. Effects of dieldrin on
    fishes and invertebrates of a salt marsh. J. Wildl. Manage.  22(1): 76-82.
Mills, P. A., J. F. Onley and R. A. Gaither. 1963. Rapid method for chlorinated
    pesticide residues in non-fatty foods. J. Assoc. Offic. Agric. Chem. 46(2):
Parrish, Patrick R.  1973. AroclorR  254, DDT and ODD, and dieldrin: ac-
    cumulation and loss by American oysters (Crassostrea virginica) exposed
    continuously for 56  weeks. (Abstract)  Proc. Natl.  Shellfish.  Assoc.
    (In Press).
U.  S. Food and  Drug Administration. 1970. Pesticide Analytical Manual.
    U. S. Dept. of  Health, Educ., Welfare, Sect. H212.
Van Valin, Charles C., A. K. Andrews, and L. L. Eller.  1968.  Some effects
    of mirex on two warm-water fishes.  Trans. Amer. Fish. Soc.  97(2):
     185-196.
Wurster, Charles F. Aldrin and dieldrin. Environment 13(8): 33-45.
                                   434

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CONTRIBUTION NO. 179

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            Reprinted from MOSQUITO NEWS,  Vol. 34, No. 3,  September,  1974

     EFFECTS OF GROUND APPLICATIONS  OF MALATHION
                 ON  SALT-MARSH ENVIRONMENTS IN
                       NORTHWESTERN FLORIDA1

          M. E. TAGATZ, P. W. BORTHWICK, G. H. COOK AND D. L. COPPAGE
    U. S. Environmental Protection  Agency, Gulf Breeze  Environmental Research Laboratory,
                         Sabine Island, Gulf Breeze, Florida 32561
       (Associate  Laboratory,  National Environmental Research Center, Corvallis, Oregon)
  ABSTRACT.  Effects  of  thermal fog {6 wt.
oz/acre  (420  g/ha)} and  ULV  aerosol  spray
{0.64 fl. oz/acre (57  g/ha)} applications of mal-
athion  95  (o,o-dimethyl phosphorodithioate  of
diethyl  mercaptosuccinate) on salt-marsh environ-
ments near  Pensacola Beach,  Florida,  were in-
vestigated.   Studies  were conducted on selected
plots after each of three  treatments using a port-
able thermal fogger  and  three ultra low volume
(ULV)  sprays with  a truck-mounted  generator.
The ULV sprays were typical of usual  mosquito-
control  operations. The loggings were on a small
scale and results should  be considered  as indica-
tive of  what may occur  under usual conditions.
Deaths  due  to  malathion  were  not  observed
among  confined  blue crabs,  Callinectes sapidus;
grass  shrimps,  Palaemonetes  vulgaris and  P.
pugio',  pink  shrimp,  Penaeus  dttorarum;  or
sheepshead  minnows,  Cyprinodon  variegatus.
Brain acetylcholinesterase activity was not reduced
in confined C. variegatus exposed to one or  more
treatments.  Confined animals and the snail, Lit-
torina irrorata, contained no measurable malathion
at our limit of detectability.  The  chemical was
not  detected  in  sediment,  but concentrations as
high as 4.10 parts per million (ppm) were found
in Jttncus sp.,  trace amounts persisting as long as
14 days (>o.05  but o.i but 
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310
                                  MOSQUITO NEWS
                          VOL. 34, No. 3
    MATERIALS AND  METHODS

  Each thermal  fog or ULV spray was
applied near the time of  low tide  to per-
mit maximum  settling and retention  in
the marsh and  near sunset, when sprays
are usually applied  to coincide  with the
gieatest activity  of  mosquitoes and  with
optimum  winds  and temperatures which
provide for the spray to  remain close to
the ground.   Salinity, water temperature
and pH were measured at the  time of the
second  fogging  and  each of the ULV
sprayings.
  Water,   grass,  sediment  and  animals
were analyzed  by  gas  chromatography
with  a  flame  photometric detector in the
phosphorus mode to determine concentra-
tions of malathion.   Based on our levels
of  detection,  the  terms   nondetectable
(N. D.) and trace (Tr.)  amounts  of mal-
athion in  the estuarine components  sam-
pled  are  defined as  follows:  1.5! water
sample, not  above  o.r parts  per  billion,
ppb  (N.  D.)  and  >o.i  but  o.o5
but o.2 but  
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SEPTEMBER, 1974
MOSQUITO NEWS
made of nylon screen over acrylic frames;
crabs and  fish, in large cages made  of
hardware cloth over wooden frames.  To
prevent  cannibalism,  shrimp  and  crabs
were confined  in  individual  compart-
ments.  After the first application,  unac-
countably high mortality of  grass shrimp
occurred in  treated  and control groups
after  7  days;  therefore,  juvenile  pink
shrimp, Penaeus duorarum, were  used in
the  second  treatment.   Shrimp  studies
were terminated 3 days after the second
fogging  because  of  vandalism of  some
pink  shrimp cages.   Data on  mortalities
of grass shrimp were obtained  only dur-
ing  7 days after  the first  fogging; and
data for pink shrimp, 3 days  after the sec-
ond  fogging.   Mortalities  among  crabs
and fish were recorded prior to the second
and  third  treatments; survivors 6  hours
after  the third  treatment were analyzed
for malathion residues.   Shrimp were  not
analyzed for  residues.
  Sheepshead minnows  (300 in each  of
two  cages) were held in the treated plot
for a study  on activity of  brain acetyl-
cholinesterase  (AChE) in fish exposed  to
one or more  applications of the chemical.
Using procedures  reported  in  Coppage
(1972), 25  fish (representing  five  sam-
ples)  were  used to  measure AChE activity
at each  of the following times:  i, 4 and 7
days after the first fogging,  12 hours and
3 days after the second fogging, and 6 and
12 hours after the third fogging.  Cop-
page  (1972)  found   that  reduction   of
AChE  activity  in sheepshead  minnows
below a specific level  (about  18% of nor-
mal)  indicates death  or  impending  death
from organophosphate poisoning.
  Samples  of  sediment, Juncus, marsh
water (at base  of Juncus), and  canal wa-
ter were  analyzed  for  malathion  at 6
hours, 12 hours, I, 3, 7 and  14  days after
each fogging operation or until  malathion
was not detected.  Except for canal water,
each type of sample  was a composite  of
material from three locations.   These lo-
cations  were  selected randomly  from a
grid pattern of 54 divisions per plot.
  II.  ULV AEROSOL SPRAYS.   ULV  mala-
         thion (Cythion® Technical 95%) was ap-
         plied to a Juncus-dominsited salt-marsh by
         a  truck-mounted  Leco HD  ULV  cold
         aerosol generator.4 Discharge was toward
         the rear at  an upward  angle of 45°.   Ac-
         tual  discharge  rate  was  0.5  gallon  per
         hour at 2% mph  (1.9  1/hr at 4 km/hr)
         which is equivalent to  2.0 gph at 10  mph
         (7.6 1/hr at 16 km/hr), the maximum al-
         lowable rate for ground ULV application
         in  Florida.  Pressure  in   the insecticide
         tank was 4  pounds/square  inch (0.28 kg/
         cm 2).   Discharge rate for the flowmeter
         setting used  was calibrated for  tempera-
         ture.  Volume discharged was 160 ml and
         spray time  was 5  minutes.
           Three  sprays  were  applied  (May  15,
         June ii  and  25,  1973) to approximately
         81/2 acres (3.4 ha) of marsh by employees
         of  the  West  Florida Arthropod  Research
         Laboratory, Panama City,  Florida.  The
         rate was  equivalent to 0.64 fl. oz/acre (57
         g/ha) based on a swath of  330 feet (100.6
         m).  For the first and second treatments,
         the Range Point marsh served as the con-
         trol plot  and  a similar Juncus-dominated
         marsh about 5 miles  (8 km) east of Range
         Point was the treated  plot.  Range Point
         was  selected  as  the treated area for the
         third  spray because  of a  more  favorable
         wind  direction  for chemical  drift; the
         marsh east  thereof was the control.  Both
         sites were connected to Santa Rosa Sound
         by   inlets  that  allowed  tidal  exchange.
         Wind  velocities during the three  spray-
         ings averaged 6.3, 6.0 and  10.2 mph (10.1,
         9.6  and 16.4  km/hr).
           Prior to each spray, grass shrimp (adult
         P.  pugio),  blue crabs  (15-25 mm wide)
         and sheepshead minnows  (25-40 mm to-
         tal length)  in 18 in. (45.7 cm) diameter
         polyethylene  tubs  containing 25 liters of
         water were placed  in the marshes.  In
         each marsh, tubs were positioned  in two
         rows of  three  adjacent tubs.  The  rows
         were 50  ft. (15.2  m)  apart, and animals
         in  each  row consisted of 25 shrimp in
           * Lowndes Engineering  Company, Inc.,  Val-
         ilosta, Georgia.

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312
                                  MOSQUITO NEWS
                          VOL. 34, No.  3
one tub, 15 crabs in a second tub, and 20
fish  in a  third  tub.   Immediately  after
treatment,  screens were placed over tubs
to keep  out predators.  Mortalities  were
determined i and 3 days after spray.  One
day after treatment, duplicate  living sam-
ples of 15 shrimp, 5 crabs  or 10 fish were
removed for chemical  analyses.
  Seventy  sheepshead  minnows  in a  5.4
sq. ft.  (0.5 m2) polyethylene pool contain-
ing 91  liters of  water  were centered  be-
tween  the  rows of  tubs  in  the  treated
marsh.   AChE activities in the fish were
measured at 6 hours and i day after each
spray.
  At  selected  intervals  after  treatment
samples  of  sediment, Juncus, water  from
the marsh, water from tubs,  and snails
(Litlorma  irrorata collected from  Juncus)
were  analyzed  for  malathion.   A  com-
posite  water sample (1.5 1)  was obtained
from each of the  two groups of tubs; com-
posite  samples  of marsh water and other
materials were obtained randomly in the
vicinity of the tubs.
  To determine  the  effectiveness  of  our
ULV sprays for  mosquito  control, caged
mosquitoes  were placed on 5-ft.  (1.5 m)
poles in  the marsh for  the third spraying
by personnel of the West Florida Arthro-
pod  Research Laboratory.   One  hundred
forty Aedes  taeniorhynchus in six cages
and  131 Culex nigripalpus  in six cages
were used  in the treated  plot, and  as a
check,  approximately the  same  numbers
of mosquitoes were held in 12  cages away
from the treated  plot.
               RESULTS

   I. THERMAL Foe APPLICATIONS.  Physi-
cal and  chemical  characteristics  of canal
water  in the treated and control  plots for
the  second  fogging  were:  temperature,
24.5°-25.o° C;   salinity,   27.5-28.0   ppt
(parts per thousand); and pH, 7.2-7.6.
   No  effects of  malathion on  caged ani-
mals  were  observed.   Mortality  of crabs
and fish  did not  differ greatly  between
control and  treated groups after  the first
and second foggings (Table  i).  Treated
crabs (average width 83.2 mm, range 44-
115) and control crabs (77.0  mm, 41-113
mm) each molted  seven times in the 28-
day period. In our limited shrimp studies,
single  deaths of grass shrimp occurred  in
each plot after 7 days,  and no deaths  of
pink shrimp occurred after 3 days.  Fish
and crabs obtained  6 hours after the third
treatment  contained no  detectable mala-
thion.   No decided  inhibition of  AChE
activity in brains of sheepshead minnows
was detected after  any of the three treat-
rnents.
   No  deaths that  could be attributed  to
the treatments  were observed among  resi-
dent populations  of shrimp, crabs,  and
fish.
   Malathion did not  persist  for  long in
sediment, Juncus or  water  after each ap-
plication.   The chemical was  not  detected
in  sediment after   6 hours.   However,
trace  amounts occurred  in  samples . of
funcus after 14  days (Table  2).   Mala-
thion was  not  detected  in water  after i
TABLE i.  Mortality of confined animals in salt-marshes after thermal fog applications  of malathion
                             95 at 6 wt. oz/acrc (420 g/ha).


Animal
Blue crabs
Control
Treated
Sheepshead minnows
Control
Treated
14 days after
ist treatment
No. dead

3
3

4
5




15
15

7
8
14 days after
2nd treatment
No. dead %

5 25
2 10

3 5
6 10

Total
No. dead

8
5

7
ii


%

4°
2=;

12
18

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SEPTEMBER, 1974
MOSQUITO  NEWS
                                                3*3
day.   After 6 and 12  hours, residues of     II.  ULV  AEROSOL  SPRAYS.   Ranges of
the toxicant ranged from .
3 days
o. 16
0.71
7 days
N.D.
Tr.2
Tr.
1 4 days
N.D.
Tr.
Tr.
   1 N.D. (non detectable) =not above 0.05 ppm.
   2Tr. (trace)=>o.05 but 
5°

30
3°

40
40

50
5°

30
30

40
40

50
50
Deaths
o-i day

2
2

0
0

I
0

I
0

0
0

0
0

o
4

0
I

0
0
Number
I day1

18
18

20
20

'9
20

19
20

20
20

20
20

20
16

20
'9

20
20
Deaths
1-3 days

0
i

0
0

8
0

5
0

0
0

6
3

2
2

0
0

2
0
   1 Number of animals remaining after  i day upon removal of dead animals and living samples (10
 crabs, 20 minnows or 30 shrimp) for residue analyses.
   2 Most shrimp listed as dead were not found; some may have escaped or been eaten.

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                                  MOSQUITO NEWS
                         VOL. 34,  No. 3
animals.   Few  deaths  occurred  among
treated animals  (Table 3).  Some deaths
of crabs in  both marshes were due  to
cannibalism.   The bodies of most shrimp
listed as  dead were not found; some may
have  escaped  or been eaten.   No deaths
of resident crabs, fishes, and shrimps were
noted  after   any  treatment.    Confined
crabs,  fish  and  shrimp  and  free-living
snails  obtained  i  day after  each  spray
contained no detectable malathion.  AChE
activities  in  brains of  sheepshead min-
nows were not altered by any of  the three
sprays.
  Residues of malathion in sediment, wa-
ter, or ]uncus 3 days following ULV ap-
plications generally were low  or not  de-
tected (Table 4).   Malathion  was  not
detected  in sediment  i  or 6 hours after
treatments.  None  was detected  in  water
or  from  Juncus  after  the  first  spray.
After  the  third  spray,  however, it per-
sisted at least 3 days  at concentrations up
to 0.34 ppb in tub water and 0.28 ppm in
Juncus  samples.  Malathion was not  de-
tected in  control samples.
  Deaths of  caged mosquitoes  after  the
third spraying  were  100% treated and
0.1% check  for A.  taeniorhynchus, and
89.3% treated and o% check for C. nigri-
palpus. Mortalities were within the range
found in  other  field tests  using  caged
mosquitoes and ULV ground  equipment
(Rathburn and  Boike, 1972).

             DISCUSSION

  No adverse effects of malathion on con-
fined animals or on  the  salt-marsh envi-
ronment were observed  under the condi-
tions  of these studies.  In  addition, no
deaths were noted  among resident  crabs,
fishes  and  shrimps   after  any  of  the
treatments.   Malathion was not detected
in animals or  sediment.  In general, when
found in plant samples or water, concen-
trations were low and did not persist. We
found trace amounts  of  the chemical  in
Juncus  samples for as long  as  14 days
after treatment. Although Bender  (1969)
found that  carp,  Cypnnus carpio, accu-
TABLE  4.  Malathion in samples of tub water
 (from each of two rows of tubs), marsh water
   and  Juncus from salt-marshes after ULV
       sprays of  malathion 95 at 0.64 fl.
            oz/acre (57 g/ha).
Sample and
time elapsed
Tub water I
i hour
6 hours
12 hours
i day
3 days
Tub water 2
i hour
6 hours
12 hours
i day
3 days
Marsh water
6 hours
12 hours
i day
3 days
litncus
6 hours
12 hours
i day
3 days
Spray i

N.D.1
N.D.
N.D.
N.D.
N.D.

N.D.
N.D.
N.D.
N.D.
N.D.

N.D.
N.D.
N.D.
N.D.

N.D.2
N.D.
N.D.
N.D.
Spray 2

Tr.1
Tr.
Tr.
Tr.
N.D.

Tr.
N.D.
N.D.
N.D.


N.D.
0.49 ppb
Tr.
N.D.

Tr.2
Tr.
N.D.
N.D.
Spray 3

1.52 ppb
0.58 ppb
u . 73 PPb
0.48 ppb
Tr.

0.32 ppb
Tr.
o . 36 ppb
u . 32 ppb
0.34 ppb

N.D.
N.D.
N.D.
N.D.

N.D.
N.D.
0.41 ppm
0.28 ppm
  1 N.D. (non detectable) =not above o.io  ppb;
Tr. (trace) =:>o.10 but <0.30 ppb.
  2 N.D. (non detectable) —not above 0.05 ppm;
Tr.  (trace) =>o.05  but 
-------
 SEPTEMBER,  1974
MOSQUITO NEWS
with   truck-mounted   equipment   over
larger  areas.

        ACKNOWLEDGMENTS

  Mr.  Arthur Peagler and Mr.  Howard
Shinton, Escambia County Mosquito  Con-
trol, Pensacola, Florida, together with Dr.
Andrew Rogers, Dr.  Carlisle  Rathburn,
Jr., and  staff  members, West Florida Ar-
thropod   Research   Laboratory,  Panama
City, Florida,  contributed outstanding co-
operation in the study.  Mrs.  Dana Tyler-
Schroeder   and   Mr.   Terrence   Hollister
aided in the  field work.   The American
Cyanamid  Company  kindly   supplied
malathion.
               References Cited

Bender, M.  E.   1969.  Uptake and retention  of
   malathion by the carp.  Prog. Fish-Cult. 31(3):
   I55-I59-
Conte, F.  S. and Parker, J. C.  1971.'  Ecological
   aspects of selected Crustacea of  two marsh em-
   bayments  of  the Texas coast.  Texas  A &  M
   Univ., Sea  Grant  Publ.  No.  TAMU-SG-7I-
   211: 184 p.
Coppage,  D. L.  1972.   Organophosphate pesti-
            cides:  Specific level of brain  AChE inhibition
            related to death in  sheepshead  minnows. Trans.
            Amer.  Fish. Soc. 101 (3) :534~536.
          Coppage, D. L. and Duke, T. W.   1971   Effects
            of  pesticides  in  estuaries along  the Gulf and
            Southeast Atlantic  Coasts.    Proc.   2nd Gulf
            Conf. Mosq. Suppr. Wildl. Manage.,  N. O. La.,
            Oct. 20-22:24-31.
          Darsie, R. F., Jr. and  Cornden, F. E.   1959.  The
            toxicity of malathion to killifish  (Cyprinodonti-
            dae) in  Delaware.  J.  Econ.  Entomol.  52(4):
            696-700.
          Fultz, T. O.,  Jr.,  McDougal,  M.  L. and  Thrift,
            E.  C.    1972.   Observations on  ground ULV
            applications   in  Chatham  County,  Georgia.
            Mosq.  News 32(4) :5oi~504.
          Guerrant,  G.  O.,  Fetzer,  L.  E.,  Jr.  and  Miles,
            J.  W.    1970.   Pesticide  residues  in Hale
            County,  Texas, before and after ultra-low vol-
            ume  aerial  application  of  malathion.    Pestic.
            Monit. J. 4(0:14-20.
          Hill,  E.  F., Eliason,  D. A. and  Kilpatrick, J.  W.
            1971.  Effects of ultra-low volume  applications
            of  malathion in Hale County,  Texas. III. Effect
            on nontarget animals.  J. Med. Entomol. 8(2):
            I73-I79-
          Rathburn,  C. B., Jr. and Boike,  A. H., Jr.  1972.
            Ultra-low volume  tests of malathion   applied
            by ground equipment for  the corrtrol of adult
            mosquitoes.  Mosq. News 32(2) :l83-l87.
          Taylor, R.  T. and Schoof, H.  F. .1971.  The
            relative effectiveness of  malathion thermal aero-
            sols and  ground-applied ULV  aaginst three spe-
            cies of mosquitoes.  Mosq. News,  3i(3):34O-
            349-

-------
CONTRIBUTION NO. 180

-------
                                               current marine  science
Criteria  for  Determining
Importance and Effects  of  Pesticides
                   on  the   Marine   Environment:
                                                                           A  Brief
                                                                     Overview
     Scientists continually emphasize the importance  of pesticide
residues that occur in the marine environment by assigning these
residues high priority in terms of needed surveillance and research. In
most instances, the analytical technology for determining residues of
pesticides in the parts  per trillion range  is available, but we often do
not fully understand the significance of these levels in relation to
biological and ecological effects.
                                            fish whose life
     Much time and effort are being
devoted to developing meaningful cri-
teria for assessing the impact of pesti-
cides on organisms and their environ-
ment. One  approach to  developing
these criteria is to assess the effect of
pesticides through laboratory research,
experimental ecosystems, and environ-
mental studies:

     I. Laboratory Research
       1. Standard "Bioassay"
          A.  Acute
          B.  Chronic
          C.  Criteria for Effects
          D.  Indicator Organisms
          E.  Application Factor

     II. Environment Ecosystems
       1. Compartmental Analysis
       2. Community Bioassay

    III. Environmental Studies
       1. Baselines
       2. Impact of Pesticide Applica-
          tion in the Environment

       Laboratory Research

     The first step in assessment after
 subjecting a candidate pesticide and its
 degradation products to chemical char-
 acterization is to perform a "standard"
 bioassay. Known amounts of the pesti-
 cide are administered to selected test
 organisms maintained in static or flow-
 ing water systems for a given period of
 time. Periodically, test  organisms are
 examined and compared  with  "con-
 trol" organisms to  determine  if an
 effect has occurred.

     These tests  are often termed
 acute because they are conducted for a
 short period of time in relation to the
 life  span of the organism. For ex-
ample, when fish whose life span is
normally a year or more are subjected
to a test for 96 hours, it is considered
an  acute bioassay. The objective of
these tests is to provide the researcher
with  information on toxicity levels
which subsequently  can be used to
conduct  more  comprehensive  bio-
assays. Chronic tests are actually an
extention of the acute tests and are
conducted through   a  reproductive
cycle or through some developmental
                                 stage
                                 time.
     for a relatively long period of
                                     In the past, mortality of the test
                                 population or a part of the population
                                 was considered the prime criterion for
                                 an effect, but this is no longer con-
                                 sidered  adequate. Other criteria, in-
                                 cluding  oxygen evolution (by phyto-
                                 plankton),  changes  in growth  rate,
                                 respiration  rate, shell  deposition,
                                 blood protein configuration, inhibition
                                 of enzyme  systems  and pathological
                                 changes, give the researcher more com-
                                 plete information on an effect. Efforts
                                 are being made by investigators in the
                                 field to  compile acceptable procedures
                                 for bioassay tests incorporating  these
                                 criteria  so  that a more flexible bio-
                                 assay procedure will be available to
                                 marine scientists.

                                           Care Required

                                      Special care must be taken in
                                 performing  even preliminary bioassay
                                 tests. The organisms  used should be in
                                 good  physiological   condition  and
                                 representative  numbers  should  be
                                 analyzed for background levels of con-
                                 taminants,  especially  the  pesticide
                                 being tested. The quality of the water,
                                 including pesticide content, must be
                                 known before it enters the test appa-
                                 ratus.  In  addition,  the  amount  of
              THOMAS W. DUKE

pesticide  in  the water of the  test
apparatus must be checked to insure
that  the  desired  concentration is
present. Accurate chemical analysis of
the pesticide content of water and test
organisms is imperative.

     Representative  organisms  from
several trophic levels should be em-
ployed in the bioassay test when pos-
sible  and  should include  organisms
known to be sensitive to a specific
group of  compounds.  Crustaceans,
particularly shrimp  and  crabs, are
usually more sensitive to organochlo-
rines  than are other marine organisms.
Larval and juvenile stages are generally
more sensitive than  adult forms. Un-
fortunately,  we are unable at the
present time to culture a wide array of
test organisms for saltwater bioassays,
and in many  instances, cannot  main-
tain  in the  laboratory sensitive life
stages of needed test organisms. As a
result, we often have data on the acute
effects of the chemical with adults
only  and  must extrapolate to  deter-
mine what the effect might be over a
longer period of time on more  sensi-
tive stages.

     An application factor is useful to
those involved in setting standards for
pesticide levels in marine  waters. An
application factor is a ratio of  a safe
concentration of a pesticide to the
acutely lethal concentration. One can
estimate  a value for an "acceptable"
level  of a pesticide in marine waters by
multiplying  the lethal concentration
determined in acute bioassays by the
appropriate   application  factor.  In
many cases  an arbitrary  application
factor of 0.01 is used when the neces-
sary  scientific data has not yet been
developed. Much more effort should
be  devoted   to obtaining necessary
January 1974
                                                                                              21

-------
scientific data for determining applica-
tion  factors  for  specific  pesticides.
Also,  users  of  application  factors
should be  made aware that this ratio
does  not  include  a  safety factor as
such, but  is only  a  fractional factor
applied  to  a  lethal  concentration.
Additional  information  on  the  de-
velopment  of  application  factors is
available in the literature (1), (2).

      Experimental Ecosystems

      Pesticides   entering  into   the
natural  environment  can  affect  not
only   individual  animals  but  com-
munities  of animals and ecosystems.
The interactions of  the  various com-
munities  with  each other and with
their physical environment could be
affected by a pesticide. One approach
to quantify such effects is to construct
an  experimental  ecosystem in which
several species of organisms and their
substrates can  be  subjected  to  the
pesticide. Quantitative information on
rates, routes and reservoirs  of accumu-
lation can be obtained. Bioaccumula-
tion data  are easily  obtained  by resi-
due analysis of individual organisms in
such   environments.   These  studies
could lead to predictive models on the
effect of pesticides.

       Sophisticated  equipment is  not
 necessarily required to obtain informa-
 tion on the  effect and  movement of
 pollutants  in  experimental  environ-
 ments (3). This investigator observed
how  Aroclor 1254,  a polychlorinated
biphenly,  affected the composition of
communities of  estuarine  animals in
 water   that  flowed   through   test
 aquaria.  Communities  of  planktonic
 larvae   that   developed   in  control
aquaria and aquaria that received one-
tenth of a microgram of PCB  per  liter
in  the water were dominated (greater
than 75 percent)  by arthropods.  The
number of arthropods decreased  and
the number  of chordates (tunicates)
increased  as  the  concentration  in-
creased  from one to ten  micrograms
per liter;  over  75  percent  of  the
animals  in  10  micrograms  per liter
aquaria   were   tunicates.   Although
species diversity was not altered, num-
bers of phyla, species  and individuals
were decreased by this PCB.

        Environmental Studies

      Much   more   information  is
needed  on the  manner in which an
"unstressed"  marine system operates
before  we  can  properly  assess  the
impact of a pesticide or other chem-
icals  on   such  systems.  We  require
integrated scientific studies leading to
the development of predictive models
that could  assess  possible effects  of
specific environmental stresses. Often,
it is necessary to make observations on
the  routes,  rates  and  reservoirs  of
pesticides used  in  large scale  applica-
tions in the environment after applica-
tion is made. Such studies should not
be  termed "ecological" because  time
will not  permit baseline  data to be
developed  before  the  pesticide  is
applied.

      Surveillance and analysis of resi-
dues in and  near  the application area
can, however, give some  insight  con-
cerning  effect  of  the pesticide on
non-target species. Such a study was
made in Louisiana during aerial appli-
cation  of   malathion   to   control
mosquito   vectors  of  Venezuelan
equine  encephalomyelitis  (4).  Fish
were collected from spray areas a short
time  before,  during and after  the
spraying   operation.  Acetylcholine-
sterase (AChE) activity in the brains of
these fish was used as an  indicator of
the  occurrence of malathion  in  the
fish's  environment.  Levels of inhibi-
tion of  AChE  activity in fish from
Lake  Prien,  Louisiana  approached
levels associated with death of fish in
laboratory bioassay studies. However,
the AChE level of this  species of fish
returned  to  normal within  40  days
after  the  application  of  malathion.
This is an example of how laboratory
bioassays and field observations can be
used to better understand the impact
of a particular pesticide on the marine
environment.

           Future Challenge

      The kinds and  amounts of pesti-
cides used in this country are  changing
and the change is reflected in produc-
tion figures.  Recently,  production of
herbicides  and  organophosphate in-
secticides has exceeded that of organo-
chlorine  insecticides. Pesticide appli-
cators  are  substituting  organophos-
phates and  carbamates  for more per-
sistent chemicals, such  as DDT. Also,
much  effort  is being devoted to de-
veloping  an  integrated pest  control
procedure  whereby  biological   and
other control methods will play just as
important a role as chemicals. Several
companies  are  developing biological
control organisms, such as viruses, and
isolating juvenile  insect hormones to
be used in control programs for certain
agricultural  pests.  This  commendable
strategy   could  result   in   a much
"cleaner" environment.
      We must  be prepared  to assess
control  methods  before  they  gain
widespread usage  in the environment.
In many instances, we can no longer
depend  upon   routine   monitoring
methods to  detect  the presence  of
these  biological  control  agents and
new chemicals.  Our concern must  in-
clude the potential effect of the new
agents on an environment that already
contains residues  of  organochlorines
and other persistent chemicals.      D
Gulf Breeze Contribution No. 180
References

Brungs, William A. 1969. "Chronic Toxicity
      of Zinc to  the  Fathead  Minnow,
      Pimephales  promelas  Raflnesque."
      Trans.  Am.  Fish.  Soc.,   98(2):
      272-279.

Mount, Donald I. 1968, "Chronic Toxicity
      of Copper  to  Fathead  Minnows
      Pimephales  promelas  Raflnesque.''
      Water Research, 2(3): 215-223.

Hansen,  David J.  (In press  — Contributions
      in  Marine   Science,  University  of
      Texas). Aroclor  1254:  Effect  on
      Composition  of  Estuarine  Animal
      Communities in the Laboratory.

Coppage, D. L.  and  T. W.  Duke. 1972.
      Effects of Pesticides  in  Estuaries
      Along  Gulf and Southeast Atlantic
      Coasts. Proceedings of the 2nd Gulf
      Coast Conference on Mosquito Sup-
      pression and  Wildlife  Management,
      New  Orleans, La.,  October  20-22,
      1971.
THOMAS W. DUKE is presently director of
the Environmental Protection Agency's Gulf
Breeze Environmental Research Laboratory,
Gulf Breeze, Florida. The laboratory's mis-
sion is to study the effects of toxic organics,
particularly pesticides, on marine organisms
and their environment.  Information  devel-
oped  at the laboratory is  used in  EPA's
pesticide registration process and in setting
water quality criteria for the marine envi-
ronment. Dr. Duke has been employed by
the Federal government since  1961.  He
received his Ph.D.  in Oceanography from
Texas A. & M. University and worked with
the A. & M. Research Foundation for  a year
before joining the Federal government. Dr.
Duke's research interest is  in the field of
estuarine  ecology-particularly  pollution
ecology  which includes studies of the  move-
ment  of radioactive materials and pesticides
in the estuarine environment.
22
                                                                                                  MTS Journal v. 8 n.l

-------
CONTRIBUTION NO. 181

-------
    Avoidance of Aroclor® 1254 by Shrimp and Fishes1
              by D. J. HANSEN, S. C. SCHIMMEL, and E. MATTHEWS
                    U.S. Environmental Protection Agency
                Gulf Breeze Environmental Research Laboratory
                    Sabine Island, Gulf Breeze, Fla. 32561
               (Associate Laboratory of the National Environmental
                      Research Center, Corvallis, Ore.)


     The  polychlorinated biphenyl (PCB) Aroclor 1254  was found  in
Escambia  River and Bay, which are parts of the estuary near our
laboratory  (DUKE  et  al. 1970).  In laboratory experiments this
chemical  was  toxic to certain mollusks (LOWE et al. 1972), arthro-
pods  (NIMMO et al. 1971) and fishes  (HANSEN et al. 1971).  Some
invertebrates (HANSEN et al. 1973 and PORTMAN 1970) and fishes
(HANSEN 1969; HANSEN et al. 1972;  and SPRAGUE and DRURY 1969)
possess the ability  to avoid other toxic pollutants in water.
Because it  could  be  an advantage to mobile organisms  in the river
and bay if  they could avoid toxic concentrations of Aroclor 1254,
we conducted  laboratory studies to determine if pink  shrimp
(Penaeus  duorarum),  grass shrimp (Palaemonetes pugio), pinfish
(Lagodon  rhomboides), sheepshead minnows  (Cyprinodon  variegatus)
and mosquitofish  (Gambusia affinis) could avoid water contaminated
with 0.001, 0.01, 0.1,  1 or 10 mg/J> of the PCB.

                        Methods and Materials

     Test animals were collected from local waters not contaminated
by Aroclor  1254 and  were acclimated to laboratory conditions for at
least seven days  before testing.  If mortality exceeded 5% or ab-
normal behavior was  observed in the 48 hours before a test the
animals were  not  used.   Pink shrimp were between 13 and 75 mm
rostrum-telson length;  grass shrimp 10-40 mm rostrum-telson length;
mosquitofish  and  pinfish 20-50 mm standard length.  Animals were
not fed for 24-hours  prior to testing.

     The  ability  of  these animals to avoid Aroclor 1254 was tested
in a black  plastic apparatus (HANSEN et al.  1972) in  which animals
could move  from a holding area into either (1) a section that con-
tained water  with Aroclor 1254 or (2) a section that  contained
water without the PCB.   Water maintained at 20° C, entered the
upper end of  each of  the two sections at the rate of  400 ml/min and
flowed to the drain  in the holding area.   Freshwater  was used to
test mosquitofish and 20 °/oo saltwater was used to test the other
species.  PCB dissolved in acetone was metered through stopcocks
at 0.5 ml/min into the  water entering one of the two  sections.  The
same amount of solvent  without PCB was metered into the other section.
     Each species was  tested at each concentration at least four
times; twice with the  PCB entering one section of the apparatus

    Contribution No. 181, Gulf  Breeze  Environmental Research
    Laboratory.
                                  253
Bulletin of Environmental Contamination & Toxicology*
Vol. 12, No. 2 © 1974 by Springer-Verlag New York Inc.

-------
and twice with it entering the opposite section.  For each of the
four replications, 50 animals (except pink shrimp, when 25 animals
were used for each replicate test) were placed in the holding area
with a closed gate located at the junction of the holding area and
the two sections.  After 30 minutes the gate was opened, allowing
access of animals to both sections.  One hour later the gate was
closed and the number of animals in each section was recorded.
The apparatus was covered with black plastic during each test to
shield the animals from external disturbances.

     Concentrations of Aroclor 125A selected were not lethal to
any animal during the 1 1/2 hour avoidance study but 0.01 mg/5,
was toxic to pink shrimp, (NIMMO et al. 1971) grass shrimp,
(NIMMO et al. In press) sheepshead minnows (SCHIMMEL In press)
and pinfish  (HANSEN et al. 1971) in chronic bioassays conducted
for longer periods of time at this laboratory.

     Some of the concentrations in the sheepshead minnow and grass
shrimp tests were checked by chemical analysis.  Methods of
chemical analyses were identical to those used by NIMMO et al 1971.

     The ability of these animals to avoid Aroclor 1254 was
evaluated by the chi-square test on the assumption that if there
was no avoidance response to the PCB, animals that left the holding
area would enter each section with equal frequency.  Avoidance was
considered significant if the probability that observed distri-
butions would occur by chance was 0.01 or less.  Animals remaining
in the circular holding area after a test was completed were not
included in  the statistical analyses.

                      Results and Discussion

     Grass shrimp, pinfish and mosquitofish avoided at least one
concentration of Aroclor 1254 but pink shrimp and sheepshead
minnows did  not avoid any of the concentrations tested  (Table 1).
Grass shrimp and pinfish avoided 10 mg/Jt and mosquitofish 0.1, 1
and 10 mg/l  of the PCB.  In mosquitofish tests, PCB was added to
fresh instead of salt water.  Therefore, it is not known if the
fish had a greater ability to avoid or if the response was
affected by  the test water.

     This study demonstrates that some animals can avoid Aroclor
1254 in laboratory tests but we can only speculate on the possi-
bility of avoidance of PCB's in the estuary.  Concentrations of
Aroclor avoided by mosquitofish in the laboratory have been found
in the Escambia River near the source of a leak of this chemical
(DUKE et al. 1970).  Concentrations measured  in water from other
localities in the river and Escambia Bay never approached con-
centrations  avoided by grass shrimp, pinfish  or mosquitofish  in
the laboratory.  If animals avoid because they sense the PCB  in
                                 254

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                              TABLE 1

          Capacity of aquatic animals to seek water free
        of the polychlorinated biphenyl, PCB, Aroclor 1254

Test
Species
Palaemonetes
pugio



Penaeus
duorarum



Cyprinpdon
variegatus



Lagodon
rhomboides



Ganbusia
affinis


Aroclor 1254
Concentration
(mg/fc)
0.001
0.01
0.1**
1.0**
10.0**
0.001
0.01
0.1
1.0
10.0
0.001
0.01**
0.1**
1.0
10.0**
0.001
0.01
0.1
1.0
10.0
0.01
0.1
1.0
10.0
Number of
In PCB-Free
Water
60
55
65
57
91
22
34
41
33
37
51
42
48
49
43
66
55
67
121
84
38
66
66
43
Animals*
In Water
with PCB
64
64
56
62
51
33
34
31
36
32
44
40
48
48
55
76
48
69
119
44
34
27
26
13

Percentage Tn
PCB-Free Water
48.4
46.2
53.7
47.9
64.1***
40.0
50.0
56.9
47.8
53.6
53.7
51.2
50.0
50.5
43.9
46.5
53.4
49.3
50.4
65.6***
52.8
71.0***
71.7***
76.8***
*    Does not include animals in holding area at end of test.

**   Nominal Concentration • Average Measured Concentration:
     10.0 = 5.7, 1.0 <= 0.48, C.I •= 0.054, 0.01 = 0.033.

***  Statistically significant; x2-test, a =0.01.
                                 255

-------
water, it seems unlikely that contamination by this chemical
altered the movements of these animals except immediately adjacent
to the site of the leak.  Animals may avoid because they sense the
toxic effect of a PCB and move to reduce this effect.  If so,
concentrations that can be avoided may possibly be much lower than
shown in these tests where fish were in the PCB for a maximum of
only 1 1/2 hours.
                            References

DUKE, T. W., J. I. LOWE and A. J. WILSON, JR.:  Bull. Environ.
Contain. Toxicol. _5, 171 (1970).

HANSEN, D. J.:  Trans. Amer. Fish. Soc. 98, 426 (1969).

HANSEN, D. J., P. R. PARRISH, J. I. LOWE, A. J. WILSON, JR. and
P. D. WILSON:  Bull. Environ. Contam. Toxicol. £, 113 (1971).

HANSEN, D. J., E. MATTHEWS, S. L. NALL and D. P. DUMAS:  Bull.
Environ. Contam. Toxicol. £46 (1972).

HANSEN, D. J., S. C. SCHIMMEL and JAMES M. KELTNER, JR.:  Bull.
Environ. Contam. Toxicol. £, 129 (1973).

LOWE, J. I., P. R. PARRISH, J. M. PATRICK, JR. and J. FORESTER:
Mar. Biol. r7_, 209 (1972).

NIMMO, D. R., R. R. BLACKMAN, A. J. WILSON, JR. and J. FORESTER:
Mar. Biol. 11, 191 (1971).

NIMMO, D. R., J. FORESTER, P. T. HEITMULLER and GARY H. COOK:
Bull. Environ. Contam. Toxicol.  (In Press).

PORTMAN, J. E.:  Marine Pollution and Sea Life, FAO 212 (1972).

SCHIMMEL, S. C.:  Trans. Amer. Fish. Soc. (In Press).

SPRAGUE, J. B. and D. W. DRURY:  Adv. Water Pollut. Res. Proc.
Fourth Int. Conf., 169 (1969).
 'Registered trademark, Monsanto Company, St. Louis, Mo.  Mention
  of trade names does not constitute endorsement by the Environ-
  mental Protection Agency.
                                256

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CONTRIBUTION NO. 183

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BIOMP:THICS 30, 547-551
SEPTF.MBKR 1974
                                       Reprinted Jrum
                                BIOMETRICS Copyright © 1974
                      THE BIOMETRIC SOCIETY, Vol. 30, No. 3, September 1974
             365: LESLIE MATRIX MODELS FOR FISHERIES STUDIES

                                       A. L. JlCNSKN1

Environmental Protection Agency,  Gulf Breeze Environmental Research laboratory,1 Sabine  Island, Gulf
                                Breeze, Florida 32561, U.S.A.
                                       SUMMARY
    Two modifications of the Leslie matrix model are developed.  In the first modification the egg stage
as Well as the age groups of a fish population are included in the vector of state. In the second modification
only the recruited members of the population are included in the vector of state.
                                   1. INTRODUCTION
   In the Leslie Matrix Model (Leslie [1945; 1948]) the vector of the number of individuals
of each age at time t, N, , is related to the vector of the initial number of individuals of
each age, N0 ,  by the equation,
                                      N, = M'N0,
                                                                                      (1)
where M is the population projection matrix,
                               Bu  B,  B.2   •••   •   B,,t   B,
                               Pn  0   0    •••   -   0     0
                               0   P,  0    ••     -0     0
                        M =  0   0                 00


                               .000    ••    0   P,_,   0
                                                                                      (2)
In matrix M, 72, equals the number of females born to females of age .c in one unit of time
that survive to the next unit of time, P , equals the proportion of females of age x at time t
that survive to time / +  1, and c is the greatest age attainable. Equation (1) lias frequently
been applied in demographic and animal population studies (Keylitz [190NJ, Pielou [19G9],
Usher [1971]).  Jensen [1971] has applied equation  (1) to a lish population.
  • Equation (1) is similar  to the simple exponential model for population growth. Leslie
[19")9] proposed a  modified matrix model to allow for the eflVet  of  population  density on
population' growth. He divided each element in  the population projection matrix by  a
quantity that depended on the size of the current population and  I he >ize of t he population
when the individuals were horn. Sevr.il other modi I ica lions of 1 lie matrix modi •! have been
proposed.  Williamson  [19">!)j  and (ioodman
                                                    l!)<>'.)| modified the matrix model to
include both SCXPS. and Lefkoviteh  | !'.)(>">] developed a modification for organisms grouped
    rn«iMil :i.l'lrv«--
                Si-lmnl nf N':itiir:il Hi-min-rs. I'mviT-iu ,.f MiHiii;:ii:. Ann ArLi.r. .MirliiL'aii ISKII
                i >r\ "f tl.r Na1mn:il Kjivin.iiini'iiUvI Un-i-arcli CI-IIHT. < 'unalli.-. Ori ./.in

-------
548
B10MKTR1CS. SEl'TEAIIiKR. 1974
by life stages  rather than age. Goodman [1<)(W| developed a general  class of models that
can he applied to  organisms grouped by  life stages. Usher  ]!%!)] modified the  model for
study of forest trees which are classified by size rather than by age.
   In this note two modifications of the  matrix model are proposed: (1) a model for fish
populations in which individuals are grouped by a life stage as well as by age,  and ('_')  a
model for the recruited members of a fish population. Goodman's [190!)] general class of
models can also include both life stages and ago. A fish is recruited when it becomes large
enough to  be  vulnerable to fishing gear. This group of fish is of importance because often
data are available only for the age groups captured by a fishery.
   A detailed analysis  of fisheries data  requires  separation of males  and females as in
actuarial science and demography, but this is  not often  practiced in fisheries science because
the limited data do not  generally allow such a detailed analysis.  It will be assumed that
the number of females equals the number of males and that  growth and mortality rates
of males and females are equal, but the models also apply to either sex  alone.
                        •J. ONE LIFE STAGE AND A(iE GROUPS
    It is assumed that the eggs hatch in the time period after the adults spawn. For example,
 if the time period is one year and the fish  spawn in the fall, the eggs hatch the  following-
 spring. A similar model can be constructed for species in which  tin1 adults spawn and the
 eggs hatch during the same year.
    The number of eggs produced at time t — 1 is proportional to the sizes of the age groups
 at time t — 1, i.e.,
                                                 "7V(0, t -  I)'
                     E(t - 1)  = (hn  ,
                                                  N(\, t -  1)
                                                 IN(V, t-  1
 where some of the constants h,  , i  = 0, 1, 2, • • •  , v, may be zero. The constant l<,  is the
 number of eggs produced by the population per individual of  age ;.  The size of the zero
 age group at time t is a function of the number of eggs produced at  time / — 1, and the
 size of each nonzero age group at time t is a. function of the size of the preceding age  group
 at time t — 1, i.e.,
~N(Q, I) } r,S'(, 0 •
AT(1. 0
0 ,
-------
MATHIX MODEL FOR ]{KCRUITKI) POPl'LATKiX
                                                         ,549
/ —  1  to age i. The survival functions may be functions of time.  Mathematical forms of
these survival functions are discussed by Ricker [1954], Beverton and Holt  [19."J7J,  Paulik
and Greenough [1900], and Pcnnyeuick et al. [1908J.
   Equations (3) and (4) can  be combined into a single equation. Multiplication of the
matrices,
                      0

                      />',

                      0
0 0 0~
1
0 0
0 0
i

0 0
0 S, Oj

h,, h,

1 0
0 1

0 0

0 0 •
_0 0 •
• • /!,-i h.

•• • 0 0
0 0

0 0

• 0 1 0
• 0 0 0 _
 gives the matrix,
                    A =
~h0S,,
s,
0
0
Mo ••
0
52
0
• h..,Sn
0
0
0
h..tSn
0
0
0
M«"
0
0
0
,'  °
!  °
I  o
0
0
0
                                               0
 0
 0
S.
0
0
0
                                                          (6)
Applying ('(iiiation  (0), the equation  for  population projection  (equation  1) becomes,

                                     N, = AX                                   (7)

The above  analysis shows  that  the matrix for  population  projection,  A, is the  product
of:  (1) a survival matrix which  represents  movement  of individuals out  of the life stage
and among  the  age  groups, and  ('2) a reproduction matrix which represents input of new
individuals  to the population.
    Applying equation  (7),  the discrete age-discrete time equation for  annual  yield from
a fishery (Jensen [1971]) becomes,
where r is age in years, and .'/,(.!') is the .rtli element  in the vector Y, ,

                                   Y,  = FWA'N,,                                   (!))

In equation  (9), F is a diagonal matrix with the age specific mortality  rates /•'(.(•) on the
diagonal and W is a diagonal  matrix  with the age .-.pecilk' weights H '(•'') on the diagonal.

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550
BIOMETRICS, SEPTEMBER 1974
                          3. THE RECRUITED POPULATION

   Equation  (8) is of more practical value in fisheries studies if only age groups in the
recruited population  are considered. The Leslie Matrix Model cannot be directly applied
to only the recruited population. The number of recruits at time t depends on the number
of eggs produced by the population at some previous time t — r,  where ?• is the age of the
recruits. The sizes of all other age  groups in the recruited population depend on  the sizes
of the preceding age group in the previous unit of time. Hence, recruitment and mortality
of the recruited population  must be separated.
   Both Usher [1966] and  Goodman  [1969] have shown  that the population projection
matrix is the sum of two matrices,
                                   M = R + D.
                          (10)
The first matrix represents input of new members to the population and the second matrix
represents transition of members between the age  groups. For application to a recruited
fish population, the square matrices R and D can be defined as:
                                                                                (11)

R =




D =


hrSr hr + iSr • • • hfS
0 0 ••• 0
_ 0 0 ••• 0
" 0 0 ••• 0 0
Srt, 0 ••• 0 0
0 Sr>? 0
00 0
00 0
00 0 S.
r


o"
0
0
0
0
0.
                                                                                (12)
The function Sr gives survival from the egg to recruitment, and the functions £,,,,? =
1, 2,  • •  ,  c, give survival from age /• + i  - 1 to age r + i. Mathematical forms of tin-
survival function Sr are discussed by Rickcr [19.">4], Beverton and  Holt [1!),">7|, and Paulik
and Greenough [1966].
    Applying equations  (10),  (11), and  (12) the vector of the  number of individuals of
each age at time t for the recruited population becomes,

                              N, = RN,_r + DN,_,                            (i:j)

Applying equation (13), the discrete age-discrete  time equation for annual yield from a
fishery becomes,
                                  IV = Z //,'M
                                         I - T
where ;//(z) is the .cth element in the vector Y,',

                            Y/ = FW(RN,_r + DN,.,).
                          (14)
                          (15)

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MATRIX MODEL FOR RECRUITED POPULATION                                       551

        LES MODELES DE MATRICE DE LESLIE POUll LES ETUDES DE PECHERIES


                                            RESUME

    On decrit deux modifications au modele matriciel de Leslie. Dans la premiere on inclut dans le  vecteur
d'etat le stade des oeufs aussi bien que les groupes d'age de la population de poisson. Dans la seconds on
ii'inclut dans le vecteur d'etat que les nouveaux membres de la population.


                                         REFERENCES
Beverton, R. J. II., and Holt, S. J. [1957].  On the Dynamics of Exploited Fish Populations. H. M. S. O.,
    London.
Goodman, L. A. [1968]. Stochastic models for the population growth of the sexes. Biomctrika 55, 469-87.
Goodman, L. A. [1969]. The analysis of population growth when the birth and death rates depend on several
    factors. Biometrics Z5, 659-81.
Jensen, A. L. [1971]. The effect of increased mortality on the young in a population of brook trout, a theoret-
    ical analysis. Trans. Amer. Fish. Soc. 100, 456-9.
Keyfitz, N. [1968]. Introduction to the Mathematics of Population. Addison-Wesley,  Reading, Massachusetts.
Lefkovitoh,  L. P. [1965]. The study of population growth in organisms grouped  by stages. Biometrics 21,
    1-18.
Leslie, P. H. [1945]. On the use of  matrices in certain  population mathematics. Biomctrika •?•/, 183-222.
Leslie, P. II. [1948]. Some further notes on the use of matrices in population mathematics. Hiomclrika 35,
    21:5-45.
Leslie, P. H. [1949]. The properties of a  certain lag type of population growlh and the influence of an external
    random factor on a number of such populations.  Physiological Zool. "2, 151-9.
Paulik, G. J., and Greenongh, J. W. [1906]. Management analysis for a salmon resource system.  In Systems
    Analysis in Ecology. Watt, K.  E. F. (Ed.), Academic  Press, New York.
Pielou, E. C. [1969]. An Introduction io Mathematical Ecology, Wiley-Interscience, New York.
Pennycuick, C. J., Compton, R. M., and Beckingham, L.  [1968]. A computer model for .simulating the growlh
    of a population, or of two interacting populations. J.  Theorct. Biol. 18, 316-29.
Ricker, W. E. [1954]. Stock and recruitment. J. Fish. Res. Bd. Canada. 11, 559-623.
Usher, M. B. (1969). A matrix model for forest management. Biometrics 35, 309-15.
Usher, M. B. [1971]. Developments in the Leslie Matrix Model. In: Mathematical Models in Ecology. Jeffers,
    J. N. R. (Ed.), Blackwell Scientific, London.
Williamson, M~. II. [1959). Some extensions of the use  of matrices in population theory. Bull. Math. Kioplii/s.
    27, 13-7.

                         Received February 1973, Revised October 1973

Key Words: Population dynamics; Leslie matrix models; Deterministic models; Recruited  fish populations.

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CONTRIBUTION NO. 184

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                                               NOTES                                           1669


            Predator-Prey  and Competition Models with State Variables:
                     Biomass, Number of Individuals, and Average
                                       Individual Weight


                                           A.  L. JENSEN1

                                   Environmental Protection Agency
               Gulf Breeze Environmental Research Laboratory, Gulf Breeze, Fla. 32561, USA2

          JENSEN,  A.  L.   1974.  Predator-prey and competition models with state variables:  bio-
                  mass, number of individuals,  and  average individual weight.  J.  Fish. Res.
                  Board  Can. 31: 1669-1674.

              Applying the identity that biomass equals number of individuals multiplied by average
          individual weight, simultaneous equations for change with respect to time in  biomass,
          number of individuals,  and average individual weight are obtained for Kostitzin's predator-
          prey equations and for the Lotka-Volterra competition equations. By the same procedure
          applied  here, simultaneous equations for these three variables can be obtained for other
          predator-prey and competition equations These equations can be applied to determine
          the biomass, number  of individuals, and  average individual weight of interacting fish
          populations under different rates of exploitation.

          JENSEN,  A.  L.   1974.  Predator-prey and competition models with state variables: bio-
                  mass, number of individuals,  and  average individual weight.  J.  Fish. Res.
                  Board  Can. 31: 1669-1674.

              A partir du postulat que la biomasse est egale au nombre  d'individus multiplie par
          leur poids moyen, on obtient  des equations simultanees representant les changements dans
          le temps de la biomasse, du nombre d'individus et du poids moyen des individus pour les
          equations predateur-proie de Kostitzin et les Equations de Lotka-Volterra relatives a la
          concurrence. Une procedure  semblable,  appliquee ici, permet de formuler des equations
          simultanees pour ces  trois variables applicables a  d'autres modeles pr6dateur-proie et
          concurrence. Ces equations peuvent servir a determiner la biomasse, le nombre d'individus
          et le poids  individuel moyen  de populations de poissons agissant les unes  sur les autres,
          lorsque  celles-ci sont soumises a des taux d'exploitation differents.

          Received January 29, 1973                                   Recu le 29 Janvier, 1974
          Accepted July 10, 1974                                    Accepte le 10 juillet, 1974

ALL species that are fished, live  in close association   interacting species are all combined in a common
with  other  species,  and  studies  of  interactions   expression. Larkin's studies were done using the
among fish species are important  to fisheries manage-   number of individuals of each species as the vector
ment (Larkin  1963,   1966). Larkin  (1956, 1963,   of state. The decision to construct models for fish
and 1966) has applied predator-prey and competi-   population interactions  in terms  of  number  of
tion models to determine the theoretical result  of   individuals rather than in  terms of biomass is  an
exploiting either or both  of a  pair of competing   important decision. Jensen  (1972) has shown that
species and either  or  both of a predator-prey pair,   because biomass, B, number erf individuals, N, and
  Application of  the classical  predator-prey  and   average individual weight,  W, are related by the
competition  models  to fisheries studies results  in   identity,
surplus  production  models  for yield in  which
growth, reproduction, and natural mortality of the                       =       —
  1 Present  address:  School of  Natural  Resources,                .
Natural Resources Buildina, University of Michigan,   where ' ls  tlme;  independent models cannot  be
Ann Arbor, Mich. 48104, USA.                      simultaneously constructed for these three variables.
  2Associat'e Laboratory of the National Environmen-   Jensen  (1972) has derived simultaneous equations
tal Research Center, Corvallis,  Orcg.                  for biomass,  number  of individuals,  and average
                                                   individual  weight implied by  Schaefer's surplus
Printed in  Canada (J2819)                           production  equation.  He showed  that if change
Imprime au Canada (J2819)                        with  respect to time in biomass of a population is

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1670
J. FISH. RES. BOARD CAN., VOL. 31(10), 1974
described by the logistic equation, then change in
number of individuals with respect to time can be
described by the logistic equation only if there is
no change with respect to time in average individual
weight or  if change in number  of individuals is
independent of change in average individual weight.
These are not realistic assumptions for fish popula-
tions.
  In this note  simultaneous equations for biomass,
number  of individuals,  and  average  individual
weight are developed  for  the Lotka  (1956)  and
Volterra  (1928)  competition  equations, and for
Kostitzin's (1939) predator-prey equations. Larkin
(1963) applied the Lotka-Volterra  equations to
study  interspecific  competition  and exploitation,
and Larkin (1966) applied Kostitzin's predator-prey
equations to study exploitation in a predator-prey
situation. Larkin (1966) concluded that Kostitzin's
predator-prey  equations are more realistic for fish
populations than the Lotka-Volterra predator-prey
equations. Fish prey on a variety  of organisms and
extinction of a single prey species may  not lead to
extinction  of  the fish  population. In the  Lotka-
Volterra  predator-prey model extinction  of the
predator results in exponential growth  of the prey
and  extinction of  the prey  results  in extinction
of the predator. In Kostitzin's predator-prey equa-
tions the  population  density of  the prey  has an
upper limit in  the absence of the predator, and the
population density of the predator has a lower limit
in the absence of the prey. Kostitzin's predator-prey
equations are nearly identical in mathematical form
to the Lotka-Volterra  competition equations.  The
method illustrated  here  to obtain equations for
biomass, number of individuals, and  average in-
dividual weight can be applied to obtain similar
equations for other  predator-prey and competition
models.
  Mathematical symbols are listed below;  the first
species is the prey species or the first of two com-
peting species, and the  second species is a predator
species or the  second of two competing species.
            coefficients of interaction between first
            and second species
6,,   b2


Bt,  B2  = biomass of first and second species

Fj,  F2  = fishing mortality coefficients for  bio-
            mass  of first and second species

F3,  F4  = fishing mortality coefficients for num-
            ber of individuals of first and second
            species

Fs,  F6  = fishing mortality coefficients for average
            individual weight of first  and second
            species
                                                  gi<  ff2   =  coefficient of growth in average indivi-
                                                              dual weight of first and second species

                                                  hi,  h2   =  coefficient of intraspecific  interaction
                                                              for first  and second  species

                                                      ki   =  coefficient of increase in number  of
                                                              individuals of first species

                                                      k2   =  coefficient of increase in number  of
                                                              individuals of second species in com-
                                                              petition  model  and  coefficient   of
                                                              mortality  of predator in predator-
                                                              prey model

                                                              number  of  individuals of first  and
                                                              second species

                                                              coefficients of intraspecific  interaction
                                                              for first and second species

                                                              coefficients of interaction between first
                                                              and second species

                                                              coefficient of biomass increase of first
                                                              species

                                                              coefficient of biomass  increase of se-
                                                              cond species in competition model and
                                                              coefficient of  negative feedback  for
                                                              biomass of predator in predator-prey
                                                              model

                                                              coefficient of interaction between first
                                                              and second species

                                                  Wi, W2  =  average individual weight of first and
                                                              second species

                                                    Relation among biomass,  number of  individuals,
                                                  and average individual weight — Differentiation  of
                                                  equation (1) with respect to time gives the equation,
                    Nj,  N2


                    Pi>   P2


                    1i>   #2
                    HI,
                                dB
                                dt
                                                                  = N
                                                                                               (2)
                    If equations  are specified for dW/dt and  dN/dt,
                    the equation for dB/dt is  implicitly specified by
                    equation (2).  If equations are  constructed indepen-
                    dently for both dW/dt and dN/dt, changes in aver-
                    age individual weight and  number  of  individuals
                    are independent. Such equations  imply two inde-
                    pendent  upper  limits —one  that determines  the
                    maximum number of individuals and one that deter-
                    mines the maximum  average  individual  weight
                    (Jensen 1972). If an  equation relating growth to
                    environmental carrying capacity is constructed for
                    biomass  there is a  single upper  limit,  termed the
                    environmental carrying capacity. An equation with

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                                             NOTES
                                                                                            1671
a  single upper limit and  mutual dependence of
number of individuals and average individual weight
provides a more realistic description of fish popula-
tions than a model with two upper limits and mutual
independence of average individual weight and num-
ber of individuals. Therefore, the Lotka-Volterra
competition equations and Kostifzin's predator-
prey equations are developed in terms of biomass;
then mutually dependent equations, corresponding
to the biomass equations, are developed for number
of individuals and average individual weight.
  The equations for change in number of individuals
and the equations for change in average individual
weight are not uniquely determined  by equation
(2) and the equation for biomass change. To develop
equations for change in number of individuals  and
equations for change in average individual weight
it  is necessary to make  additional assumptions.
These  assumptions concern: 1)  the form  of  the
equations for number of individuals, 2) the mutual
dependence  of  average  individual  weight   and
number of individuals,  and 3) the patterns of alge-
braic signs in the equations for change in average
individual weight. Many different systems of simul-
taneous equations, which correspond to different
assumptions, can be derived for biomass, number of
individuals,  and  average individual  weight.   The
systems of equations  derived in this note are simple
systems in which the  mathematical form  of  the
equations  for dB/dt, dN/dt, and dW/dt are similar,
dW/dt  does not equal  zero, and NI, N2, Wt,  and
W2 are all interrelated.
  It is  noteworthy that  the equations for dN/dt
and dB/dt have been testedjvith empirical observa-
tions. The equations for dW/dt have not previously
appeared in the literature, and these equations have
not  been  tested with  empirical  observations.  Al-
though the form of the equations for dW/dt result
from the form of the equations for dN/dt and dB/dt,
the equations for dW/dt must  be considered as
untested hypotheses until  they  are tested with
empirical  observations.
  Predator-prey and competition models have been
applied  interchangeably to biomass and number of
individuals. Therefore,  it  appears  reasonable when
developing simultaneous equations  for  biomass,
number  of individuals,  and average  individual
weight,  to assume that the equations for change
in number of individuals are of the same mathemati-
cal form as the equations for change in biomass.
For change in average individual weight and change
in number of individuals to be mutually dependent
both the equation for change in number of indivi-
duals and the equation lor change in average indivi-
dual weight must  contain terms for average indivi-
dual weight and number of individuals. The above
assumptions, together with equation (2), uniquely
determine the equations for change in number of
individuals.  For  example,  if  biomass is defined
by the logistic equation, dB/dt = a(B-<32B2, then,
to be of the same mathematical form as the biomass
equation, contain both number of individuals and
average individual weight, and satisfy equation (2),
the equation for change in number of individuals
must be dN/dt = ijN-^N'W.
  When the equations  for dB/dt and dN/dt are
specified, the form  of the equation  for  dW/dt is
implicitly specified to within a narrow degree, and
only a small amount of biological information is
necessary to complete its specification. For example,
if for the logistic equation  biomass and number
of individuals are described by the equations given
above, to satisfy equation  (2)  average^ individual
weight must be given byV W/<# = 0,  dVJ/dt = ± c
W, or dW/dt =  ±  ci W ±  c2W2N.  Only the last
equation for dW/dt satisfies  the condition that  N
and  W  are  mutually dependent. It  is biologically
realistic to assume that input to average individual
weight is proportional to average individual  weight
and  that  an increase in number of  individuals
results in a  more intense intraspecific competition
and  a lower rate of change in average individual
weight.  Therefore,  the equation for  chang£  in
average individual weight is dW/dt = CjW-c2W2N.

  Kostitzin's predator-prey equations — Under the
assumptions : 1) the equations for change in number
of individuals are of the same form as the equations
for  change  in biomass, 2)  the variables  NI, N2,
Wj,  and W2 are interrelated,  and 3) selection  of
algebraic signs in  the  equations for  change  in
average individual  weight is correct, application
of equation (2) shows that Kostitzin's predator-prey
equations for change in biomass, number of indivi-
duals, and average individual weight are:
dBi/dt
dB2ldt
                                   - F2B2
                          - ?iNiB2 -
dW2/dt =
                                 _           (3)
                           ± KiWiB2 - FjWi
                           - /*2W2B2 - F6W2.
The constants are related by the equations: rt  =
ki + gi, r2 = k2-g2, al=pl + hl: a2 = p2 + h2,
bi = 
-------
1672
                             J. FISH. RES. BOARD CAN., VOL. 31(10), 1974
equations (3) for Bj shows the following additional
constraints on the constants,
               F2 + r2
                                F3-kj
     -fli
                                     -Pi
F4
                        ± «lB2   Ffi -
                                       «2
where B2 = (-r2di-b2Fi + r162-F2«i)/(«i«2 + 61*2)-
  In  equations (3),  the biomass  equations  are
identical to the equations obtained when Kostitzin's
predator-prey  equations are  applied  to  biomass
alone. But the equations for change in number of
individuals  are different from the  equations that
would be  obtained if Kostitzin's  equations had
been  applied to number of individuals  alone. Both
the equation for change in number of prey and the
equation for change in number of  predators con-
tain terms for prey biomass and predator biomass.
  In  the equation for change in number of prey,
the birth  rate  of the  prey is  proportional to the
number of prey. Mortality of  the prey  depends on
both  the product of the number of  prey with prey
biomass and the product of  the number of prey
with  predator  biomass.
  In  the equation for change in number of preda-
tors,  the birth rate of the predator depends on the
product of the number of predators with  prey
biomass. Mortality of the  predator depends  both
on the number of predators  and the  product  of
the number of predators with  predator biomass.
  These equations  for change in number of prey
and for change in number of predators are bio-
logically realistic. Birth rate of the prey is propor-
tional to the number of prey. Mortality of the prey
increases with either an increase in  the number of
prey  or with an increase in prey biomass.  Higher
prey  biomass and  a larger prey population  density
both  result in  more intense intraspecific competi-
tion.  Mortality of  the  prey  also  increases  with
predator  biomass.  A larger  predator biomass
requires a  larger  amount of food.
  For both natural and experimental fish popula-
tions it has  been established that average individual
weight is  related to  the  number  of  individuals
(Nikolskii  1969;  Swingle and Smith  1941).  And
the carrying capacity  of an environment for fish
appears to  be related to the  biomass  of the fish
population rather than to the number of individuals
(Swingle and Smith 1941). Equations for change in
number of individuals that are a function of biomass
as well as a function of number of individuals are,
therefore, more complete and realistic  than equa-
tions  that do not contain terms for biomass.
  If Kostitzin's  equations  had been applied to
number of individuals alone, mortality of the prey
would have  been a function of neither  predator
biomass nor prey biomass. But if average individual
weight of the predator and prey are not constant,
the number of prey does not accurately determine
the amount of food the prey supply the  predator
and the number  of predators does not accurately
determine the food requirements of the predators.
  In equations (3), the equations for both biomass
and number of individuals  are similar to the equa-
tions  obtained  when Kostitzin's  equations  are
applied to  each of these variables  alone, and the
equations for each variable alone have been tho-
roughly investigated both biologically (Gause 1964)
and mathematically  (Goel et al. 1971). Equations
for change in average individual weight of a  predator
and its prey  have not been previously proposed,
and they must be considered more carefully than
the equations for change in  biomass and number
of individuals.
  The equations for change  in average individual
weight cannot be  developed  independently of the
equations for biomass and number of individuals.
The equations for change  in  average individual
weight are developed by: 1) specifying the equations
for change in biomass and the equations for number
of individuals, 2) the requirement that the variables
be mutually dependent, and 3) selection of algebraic
signs based on biological assumptions.
  The  mathematical form  of  the equations for
change in average individual weight is the same as
the mathematical form of the equations for biomass
and number of individuals, but the algebraic signs
are different. Equations (3) indicate that an increase
in the prey biomass results in more intense intra-
specific competition and a slower change in average
individual weight  of prey. The equation for change
in average  individual weight of the prey also con-
tains the  term ±  w1W1B2. The sign of this term is
positive if predators select  larger prey, the sign is
negative if  predators select smaller prey,  and this
term is zero if on the average predators select all
size-groups of prey equally often.
  Change  in  average individual  weight  of the
predator depends  on both average individual weight
of the predator and the product of average individual
weight of the predator with biomass of prey; this
second term  realistically indicates that change in
average individual weight of the predator depends
on  the biomass of food available.  Loss in average
individual weight of the predator  depends on the
product of the average  individual weight of the
predator with predator biomass. This term realisti-
cally indicates that as predator biomass increases,

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                                              NOTES
                                                                                             1673
intraspecific competition increases  and change  in
average individual weight decreases.

  Lotka-Volterra  competition  equations — Under
the assumptions  applied to obtain equations (3),
application of equation (2) shows that the Lotka-
Volterra  competition  equations  for change  in
biomass,  number  of  individuals,  and   average
individual weight are:
           = riB1-aiBi-6iB1B2-FiBi
            = AriN1-p1BiN1-?1N1B2-F3N1
                                      _
            = 5-iWi-/iiWiBi-HiWiB2-FsWi
            = g-2W2-/!2W2B2~H2W2Bi-F6W2.
The constants are related by  the equations: rj  =
^1 + ffi, r2 = k2 + g2, « i = Pi + hi, a2 = p2 + h2,
b\ = q\ + «i, 62 = 2B2N2.  These
terms  indicate  that the intensity  of intraspecific
competition depends on both the number of in-
dividuals and the biomass of the species. The equa-
tions for change in population density of the first
species  contains  the interspecific competition term
<7iNiB2 and the equation for change  in population
density of the second  species contains the inter-
specific competition term  q2N2fti.  These  terms
indicate that the intensity of interspecific competi-
tion depends on the number of individuals of the
species and on the biomass of the competing species.
  In equations (4), the change in average individual
weight of both competing species  is  proportional
to their average  individual weight. Loss in average
individual weight of each species depends  on the
biomass of both species; as the biomass  of both
 species increases, both intraspecific and interspecific
 competition  increase.  Equations  (4)  are  more
 realistic  for  fish populations than the equations
 obtained when  the  Lotka-Volterra equations are
 applied to number of individuals alone. Changes in
 number  of  individuals  are related to population
 biomass. Equations (4) contain terms for biomass,
 whereas  equations obtained when the Lotka-Vol-
 terra model  is applied to number of individuals
 alone do not contain ternis for biomass.

  Discussion — Relations among biomass, number
 of individuals,  and average individual weight are
 important in fisheries biology. For fish populations
 the environmental carrying capacity is the maximum
 biomass  that the environment can sustain, and the
 same resources  can  support large populations of
 small fish or small populations  of large fish of the
 same species (Nikolskii 1969; Swingle and Smith
 1941). Fishing a  population decreases the number
 of fish and,  by  selection of older and larger indivi-
 duals, decreases the average  individual  weight.
 Expanding surplus  production  models to  include
 number of individuals and average individual weight
 as well as biomass may, therefore, increase the use-
 fulness of these models for fisheries management.
  The expanded models can be applied to determine
 number of individuals,  biomass,  and average in-
 dividual weight for predator-prey and competing
 species that result from different exploitation rates.
 For  example, for Kostitzin's predator-prey model
at equilibrium under average environmental  con-
ditions,
        Bi =
        B2 =
        Ni
                   -r\a\a2-r2aibi-a\b\P 2
        N2 =  — =:
           _
          1 ~
        W2 =
The  above equations are as  easily applied as the
surplus  production equations for biomass alone,
but data are needed for number of individuals and
average individual weight as well as  for biomass.

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1674
J. FISH. RES. BOARD CAN., VOL. 31(10), 1974
  Accurate estimation of the constants in equations
(3)  and (4)  is difficult. A  linearization and curve
fitting  procedure similar to the  one applied by
Schaefer (1957) to estimate  the constants  in the
Schaefer surplus-production model can be applied
to estimate the constants in equations (3) and (4).
The equations  are linearized by estimation of the
derivatives with the two point formula (Schaefer
1957; Hamming 1962). Schaefer's method of data
partition does not produce unique estimates of the
constants (Pella and Tomlinson  1969). Least squares
can be applied to the linearized equations to estimate
the constants as illustrated by Pella and Tomlinson
(1969).  The two point  formula for linearization
results in underestimation of the derivative (Ham-
ming 1962; Pella  and Tomlinson 1969) and as  a
general rule numerical integration should be applied
instead of numerical differentiation whenever poss-
ible (Hamming 1962).  Pella and Tomlinson (1969)
have developed a method for approximation of the
general surplus-production model in which numerical
integration is applied instead of numerical differen-
tiation. Equations (2) and  (3) cannot, however, be
solved in closed form and the method of Pella and
Tomlinson cannot be applied.
  In summary, biomass,  number of individuals,
and average individual weight are mutually depen-
dent variables. For most fish populations the en-
vironmental  carrying  capacity is the  maximum
biomass sustainable by the environment rather than
the  maximum  number of individuals.  Population
models for fish should, therefore, be constructed in
terms of biomass or in terms of biomass and number
of individuals.  Surplus production models that are
constructed for number of  individuals  alone are
not more easily constructed than models for bio-
mass alone, and they  ignore the interrelations
among  average individual  weight,  biomass, and
number of individuals.
  Data for application of competition and predator-
prey equations  to natural or experimental fish pop-
ulations do not appear to  exist. This lack of data
limits  application of  models  for  interactions  of
exploited fish populations to theoretical considera-
tions such as  those of Larkin (1956, 1963, and
1966). Continued development of models for inter-
action among species  is necessary for theoretical
studies, and the models can also serve as guides for
the design of studies on experimental and natural
fish populations.
                      Acknowledgments — I  thank J.  J. Pella for  useful
                    criticism of an earlier version of this note, for indicating
                    several errors, for indicating  the need to discuss the
                    development  of the equations in more detail, and for
                    indicating the restrictions on  the  parameters. W. W.
                    Fox Jr. gave  helpful criticism of a manuscript closely
                    related to this one.
                    GAUSE, G.  F.  1964.  The  struggle for existence.
                      Hafner, New York, N. Y.  (Originally published 1934)
                    GOEL, N. S., S. C. MAITRA,  AND E. W.  MONTROLL.
                      1971.  On the Volterra and other nonlinear models
                      of  interacting populations.   Academic  Press,  New
                      York, N.Y.   145 p.
                    H/nfMTNG, R.  W.  1962.  Numerical  methods  for
                      scientists and engineers.   McGraw-Hill, New York,
                      N.Y.
                    JENSEN, A. L.  1972.  Population biomass, number of
                      individuals,  average  individual  weight,  and  the
                      linear  surplus-production  model.  J.  Fish.  Res.
                      Board Can.  29:  1651-1655.
                    KOSTTTZTN, V. A.   1939.  Mathematical biology. Har-
                      rap, London.  411 p.
                    LARKIN, P.  A.  1956.  Interspecific competition and
                      population control in freshwater fish.  J. Fish. Res.
                      Board Can. 13:327-342.
                        1963.  Interspecific competition and exploitation.
                      J. Fish. Res. Board Can. 20: 647-678.
                        1966.  Exploitation in  a  type of predator-prey
                      relationship. . J.  Fish. Res. Board Can. 23: 349-356.
                    LOTKA,  A.  J.  1956.  Elements  of  mathematical
                      biology. Dover   Publications, New  York, N.Y.
                      (Originally published 1925)
                    NncoLSKn, G.  V.  1969. Theory of fish population
                      dynamics.  Translated by J. E. S. Bradley.  Oliver
                      and Boyd Ltd.,  Edinburgh, Scotland.   323  p.
                    PELLA, J.  J., AND P. K. TOMLINSON.   1969.  A gener-
                      alized stock  production model.  Inter-Amer. Trop.
                      Tuna Comm. Bull. 13: 421-496.
                    RICKER, W. E.  1958.  Handbook  of  computations
                      for biological statistics of  fish populations. Bull.
                      Fish. Res. Board Can. 119:  300 p.
                    SCHAEFER, M. B.   1957.  A study of the dynamics of
                      the fishery for yellowfin tuna in the eastern tropical
                      Pacific  Ocean.  Inter-Amer.  Trop. Tuna. Comm.
                      Bull. 2: 245-285.
                    SWINGLE,  H. S., AND  E. V.  SMITH. 1941.  Experi-
                      ments on the stocking of  fish ponds.  Trans. N.
                      Am. Wildl. Nat.  Resour. Conf. 5: 267-276.
                    VOLTERRA, V.   1928.  Variations and fluctuations of
                      the number  of individuals in animal  species living
                      together. J. Cons. Int. Explor. Mer  3:  1-51.

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CONTRIBUTION NO. 190

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                Accumulation of Mirex-14C in the

            Adult Blue Crab (Callinectes sapidus)
                          by WlLHELM P. SCHOOR
                     V.S. Environmental Protection Agency
                 Gulf Breeze Environment Research Laboratory
                     Sabine Island, Gulf Breeze, Fla. 32561
               (Associate Laboratory of the National Environmental
                       Research Center, Corvallis, Ore.)
       Carrier-solubllized mlrex is absorbed from a disperse aqueous
 system by juvenile (Lowe et al. 1971),  and larval stages (Bookhout
 et  al.  1972) of the blue crab.  Since in  both cases only whole-body
 residues were determined, it was  thought  to be of interest to
 establish the actual distribution of mirex in the tissues.

                            Experimental

      Adult blue crabs were exposed to  mirex-^C (Mallinckrodt Inc.)
 having  a specific activity of 6.34 mCi/mM in a final concentration
 of  0.05-0.25 ppb and 0.3% polyethylene  glycol 200 in filtered sea
 water  that was diluted with distilled water to give 10 ppt  salinity.
 All tests were conducted in battery jars  containing 3& of solution
 at  25°C.  Exposure time ranged from 15  minutes to 16 hours.

      Tissue samples were counted in the  following manner.   Hemo-
 lymph serum was obtained by centrifuging  the clotted hemolymph.
 About 0.5 g of hepatopancreas , 0.2 g brain and thoracic ganglion,
 0.5 g muscle, and 1.0 ml of hemolymph serum were each added to
 2.0 ml  Soluene 100 (Packard Instrument  Co.)  and digested at 40°C
 overnight.  Ten ml of scintillation fluid (5.5 g PPO,  0.1 g
 dimethyl POPOP, 667 ml toluene, and 333 ml triton X-100) were
 added with 1.0 ml hexane for clarification,  and the amount  of
 mirex-14c determined with a Packard Tri-Carb Scintillation  Spectro-
 meter.   Any quenching was compensated for by means of an internal
 standard .

                       Results and Discussion

      Uptake of mirex-^-^C by organs from  solutions that contained
 0.22 ppb (measured) of mirex-l^C was as follows:
          Hemolymph serum (10 crabs)         0.24  -  0.69
          Muscle (2 crabs)                   0.65  -  1.1 yg/kg
          Brain and thoracic ganglion        0. 75  -  19 yg/kg
             (5 crabs)
          Hepatopancreas (6 crabs)           1.6 - 31 yg/kg
  Mention  of  commercial products or trade names does  not constitute
  endorsement by the U. S. Environmental Protection Agency.
                                  136
Bulletin of Environmental Contamination & Toxicology,
Vol. 12, No. 2 © 1974 by Springer-Verlag New York Inc.

-------
      Mirex-^C is, I believe, absorbed through the gills because
the hemolymph serum showed traces of mirex-l^C after 5 minutes of
exposure, the hepatopancreas after 15 minutes.  No difference was
noted between male and female crabs.  Response to the toxicant
usually progressed through Increased aggressiveness to decreased
aggressiveness; followed by loss of equilibrium and death, although
some crabs recovered.  Crabs in 1% Carbowax 200 solutions showed no
behavioral differences from those in solutions without it.

      The rate of uptake and the distribution of mirex-^C in the
blue crab is similar to that observed for pink shrimp (Penaeus
duorarum) exposed to Aroclor® 1254.  (Nimmo et al. 1971).

                            References

BOOKHOUT, C. G., WILSON, A. J. JR., DUKE, T. W. and J. I. LOWE:
Water and Soil Pollution ±, 165 (1972).

LOWE, J. I., WILSON, A. J. JR. and J. M.  PATRICK,  JR.  Unpublished
results, Gulf Breeze Environmental Research Laboratory,  Gulf Breeze,
Florida 32561 (1971).

NIMMO, D. R., BLACKMAN, R. R., WILSON, A. J. JR.  and J.  FORESTER:
Marine Biology 11, 191 (1971).
  Registered trademark,  Monsanto Company,  St.  Louis,  Mo.
                                137

-------
CONTRIBUTION NO. 191

-------
                              EPA-600/4-74-004
                              October 1974
             PROCEEDINGS

                 OF

       SEMINAR ON METHODOLOGY

                FOR

  MONITORING THE MARINE ENVIRONMENT



         SEATTLE WASHINGTON

            OCTOBER 1973
     Program Element No. 1HA326
     ROAP/TASK - PEMP/2
            SPONSORED BY

    OFFICE OF MONITORING SYSTEMS

U.S. ENVIRONMENTAL PROTECTION AGENCY

       WASHINGTON, D.C. 20460

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        BIOLOGICAL PROBLEMS IN ESTUARINE MONITORING

                       P. A. Butler *

                        INTRODUCTION

     Awareness of the extent of persistent organochlorine
pollution both in the physical environment and the biota has
made apparent the need for continuing surveillance programs
to assess the problems.  During the period 1965-72, samples
collected in the National Estuarine Monitoring Program, as
well as in other studies, revealed some of the difficulties
involved in the interpretation of residue data.  Bivalve
molluscs are efficient bioassay tools for identifying the
ebb and flow of pollutants in surrounding waters, and the
monthly monitoring of molluscan populations made obvious the
dynamic nature of organochlorine pollution in the estuary.
The image of polluted versus unpolluted estuaries was soon
modified by monitoring data that indicated instead the
movement of relatively discrete masses of clean and polluted
water through the estuary.  Organochlorine residues in
molluscs fluctuated from month to month in response to the
sometimes transitory nature of the pollution and contrasted
sharply at times with residues observed in other elements of
the associated biota.

     To gain increased understanding of the significance of
residue levels, sample collections in problem areas were
intensified in variety, frequency, and size; and additional
work was undertaken under laboratory conditions.  The
experimental program demonstrated that the uptake and
retention of persistent residues varied unpredictably with
the environmental element sampled.  It became clear that
surveillance or monitoring systems had to be carefully
designed if they were to provide answers to specific program
objectives.
*0ffice of Pesticides Programs
 Gulf Breeze Environmental Research Laboratory,
 Gulf Breeze, Florida
 Gulf Breeze Laboratory Contribution No. 191
                            -126-

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     A primary concern is the extent of environmental
degradation - with the implied intention of reversing or
at least halting harmful pollution trends.  But individual
agency goals are much more specific.  For expedience and
because of monetary restrictions, programs are usually
designed to clarify rather narrowly defined sectors of the
whole pollution picture.  Often, the foremost question
concerns only the existence of a human health problem, and
if this is not likely to occur, then some environmental
pollution problems may go uninvestigated.  The idea that
any changes harmful to the environment will eventually
affect man is still not generally accepted.

     The basic needs for environmental surveillance require
programs designed to provide current data that will be
adequate to identify later deleterious changes.  Monitoring
data should indicate existing problems as well as their
extent in time and space.  To provide information of this
tvPej protocols must take into account the influence of
various physiological and ecological factors affecting the
substrate selected for study.  Some of the anomalous residue
data acquired so far are understandable, but reasons for
others are less certain.  The following discussion of
factors affecting persistent organochlorine residues
indicates some of the options available in selecting the
most informative sample types.

             FIELD AND LABORATORY OBSERVATIONS

Residue differentials resulting from kind £f species
monitored:

     The necessity for utilizating different species to
monitor pesticides in different coastal areas prompted the
conduct of laboratory experiments to determine the relative
sensitivity of molluscan species selected for their
diversity in salinity tolerance.  A number of controlled
experiments have shown the relative uniformity of DDT
residue formation in the eastern oyster (Grassestrea
virginica) under varying estuarine conditions of salinity
and temperature.  Observations of four other molluscan
species exposed simultaneously to a mixture of common
organochlorine pesticides indicated considerable variation
in the relative rates at which residues were acquired, then
lost when clean water was restored to them (Table 1)  (3).
     Studies were directed toward evaluating residue flushing
rates in the hard clam  (Mercenaria mercenaria) because of
                           -127-

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                                      Magnification in      Percentage loss
         Bioassay animal                Body after 5          after 7 days
                                       days exposure         in clean water
Soft clam (Mya arenaria)
Eastern oyster (Crass ostrea
virginica)
Marsh clam (Rangia ctmeata)
Asiatic clam (Corbicula fluminea)
Hard clam (Mercenaria mercenaria)
3000
1200
700
600
500
74
50
50
30
75
Table 1.  Average biomagnification and depuration rates  of a mixture

          of seven common chlorinated pesticides by molluscs exposed

          in a flowing seawater system.
                                 -128-

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the prevalence of this species in the New England area and
its observed poor performance in storing DDT residues.  The
biological half-life of pesticide residues in molluscs under
the same conditions is of importance in determining the
movement of pollutants in the estuary.  Clams and oysters
with DDT residues of about 40 ppm were placed in aquaria
with uncontaminated flowing seawater.  The clams flushed <*ut
50 percent of their DDT residue within five days.  At the
end of 15 days less than 21 of the original DDT burden
remained.  In contrast, the oysters still contained 50% of
the residue at the end of the 15 days and significant amounts
of DDT were present after a month.  Clearly, clams would have
to be sampled more frequently than oysters to determine
pollution inputs.

     Species differentials in pesticide uptake are apparent
in populations monitored in Conscience Bay, New York (6).
During the first half of 1968, monthly mussel samples
(Mytilus edulis) from this bay contained about 50 ppb of DDT
and its metabolites.  In the latter half of the year and
until April 1969, hard clam was substituted because it was
easier to collect.  During this period no DDT residues were
detected.  In April and thereafter, the mussel was again
utilized and DDT residues were found to be once more 50 ppb
or higher.  In this case, the convenience of collecting hard
clam samples 'determined1 the presence or absence of DDT
pollution in the bay.

     Similar discrepancies were observed in simultaneous
collections of spot (Leiostomus xanthurus) and oysters in a
South Carolina estuary in 1968.  Residues of DDT occurred in
all monthly samples of the fish and levels fluctuated
between 100 and 300 ppb although the fish sampled were of
uniform size.  Oyster samples showed DDT pollution was
present only during the first six months of the year.   If
DDT pollution was present after that, it was not stored by
the oyster at levels chemically detectable.  Numerous other
studies have demonstrated the retention and gradual increase
of organochlorine residues in fish, at least until their
first spawning period.  Consequently, it is not possible to
determine from periodic fish analyses the seasonal
occurrence of DDT pollution in an estuary.

     Unexpected variations occur in the sensitivity or
selectivity of the biota in the same ecosystem to
organochlorine pollution even though the species monitored
are presumed to occupy similar tropic levels.  These
differences are well-illustrated in a study of monitoring
methods conducted in Virginia (12).  Sample analyses
demonstrated the existence of residues of three different
polychlorinated biphenyl compounds (Aroclors  1242, 1254,
                           -129-

-------
and 1260) in different types of samples.  All samples were
large enough to minimize individual variation.  In March,
Aroclor 1242 was detected only in anchovies (Anchoa sp.);
Aroclor 1254 was present in silversides (Menidia sp.),
oysters and two series of plankton tows.  A third series of
plankton samples contained only Aroclor 1260.  Three months
later, Aroclor 1242 was present in both anchovies and
silversides while Aroclor 1254 was no longer found in
silversides but was still present in oysters and plankton.
Aroclor 1260 was not detected.  These variations in residue
accumulations in a short period in one river system are not
easily explained (Table 2).

Aroclor 1242
March
Fish A I/
June
Fish A
Fish S
Aroclor    1254              Fish S  2/
                            Oysters            Oysters
                            Plankton           Plankton
                            Sediment           Sediment
Aroclor    1260              Plankton
 17 Anchovies
 2/ Silversides
 Table  2.  Estuarine samples containing residues of PCB's at two
          sampling periods
                              -130-

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     Uptake and depuration rates in molluscs under
laboratory conditions must be accepted as relative figures
and extrapolated to field conditions with caution.  In one
study, for example, oysters exposed to mercury accumulated
residues of about 28 ppm (8).  Relatively small declines in
residues took place in the following 160 days of depuration.
The authors concluded from the data that mercury residues
acquired by oysters in nature might require years to decline
to acceptable levels.  Their experimental conditions were
described as a 'natural system1 but the oysters were
supplied only 2 H clean water/animal per hour.  This volume
of water should be compared to their well-known utilization
of up to 30 Z per hour even under experimental conditions
(11).  It is probable that in this experiment, the mercury
was continuously recycled and the oysters never had
opportunity to adequately flush their tissues.

     The mercury exposure experiment is perhaps comparable to
a situation monitored in Mecox Bay, Long Island (6).  The
waters of this bay are typically isolated from the ocean by
sand bars, and only periodically do winter storms cut the
bars and permit flushing (10).  In the period 1966-72, the
oysters in this bay were continuously contaminated with DDT
and at a maximum level  higher than that observed in any of
the other 16 estuarine stations monitored in the New York
area despite apparently low use records of DDT in the area.
In my opinion, these oysters were continuously contaminated
with recycled DDT because of the inadequate supply of clean
water.

     Past dependence on fortuitous samples (found dead,
happened to be caught in a net, etc.) to assess pollution
levels has resulted in an uneven if not confused picture of
general environmental contamination.  Broad conmunity
studies frequently show persistent organochlorine residues
differing by an order of magnitude in species of similar
habit (9,20).  Consequently, valid assessment of persistent
residues in any one species of a community requires not only
an understanding of its position in the trophic structure
but also its variability as compared to similar species.

Residue differentials resulting from age of individuals
monitored.

     In fish and other vertebrates, the localization of
organochlorines in highly lipid tissues and their
persistence, at least in part, for long periods is well-
documented.  For example, DDT tends to accumulate gradually
in pinfish (Lagodon rhomboides) and an approximately tenfold
increase from 0-to-l-year fish has been documented (14).
                            -131-

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There is an approximate doubling of DDT residues in lake
trout in the Great Lakes each year up to age 10 (17)»
Accumulation of dieldrin residues in these fish is
proportional to age but of lower magnitude.  Approximate
doubling of mercury levels during the first few years
has been reported in salmon  (Salmo salar)from rivers
in Sweden  (18).

     In contrast, organochlorine residues in molluscs do-
not persist from year to year in the absence of pollution
despite their affinity for lipid tissues.  Residue levels
fluctuate widely depending on the input of pollutants to
the estuarine system and not on the age of the mollusc.
Residue levels can be correlated frequently with pesticide
usage in the drainage system when oysters of similar size
are monitored.  However, oysters of different size do react
differentially to similar pollutant levels and, in general,
residues per gram of tissue are higher in small oysters than
in oysters of signficantly larger size.  Although the data
are not at hand, I assume that this difference is a function
of the larger amount of water circulated (filtered) per gram
of tissue  in small oysters compared to large ones.  This
higher biological magnification of residues in small oysters
might be disastrous since, with a given amount of contaminated
tissue consumed, predators would ingest much more DDT from
small as opposed to large oysters.

     This  demonstrated increase in persistent residues with
age complicates interpretation of data in many instances
where the  age of individuals making up the sample are
unavailable and difficult to ascertain.

Residue differentials resulting from variations among
individuals.

     For obvious reasons, uniform populations or aggregates
of individuals are selected as often as possible as
indicators of environmental  degradation.  But both
laboratory and field studies demonstrate that there can be
much individual  variation in levels of organochlorine
residues.  DDT residue levels in a presumably uniform sample
of yearling pinfish in a Florida estuary ranged from 13.7
ppm to 0.5 ppm (14).  The standard error in these data was
more than  230% of the arithmetic mean.  The average of two
of the fish was 13.2 ppm while the average residue in the
other eight fish was only 1.5 ppm DDT.  Not all groups
analyzed have shown this diversity but it must be anticipated
in data interpretations.  Diversity in residue levels of
molluscan  populations is less extreme and may be illustrated
by one group of mature oysters exposed to DDT under controlled
                              -132-

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conditions in flowing seawater for 96 hours.  In the 10
individuals, total DDT residues ranged from about 4 to
25 ppm with a mean value of 11.6 ppm.  In this case,
the standard deviation was only about 50% of the mean.

     Much larger samples must be collected to obtain more
uniform data, but this is a costly and time-consuming
process.  We undertook in 1971 an exploratory project to
examine the merits of larger sample size (12).  Oysters, two
species of fish, plankton and sediment cores were collected
concurrently at two stations in two Virginia rivers at a
two-month interval.  Ten samples of 15 oysters and 10
samples of 25 fish were collected at each station.  In
general, PCB's were the principal residues found and the
spread of values was reasonably small.  Standard errors, for
example, were about 15 to 30% of the arithmetic means.  Data
on sediment cores were less uniform even though samples were
collected in a restricted area.  In one series, for example,
only 3 of 10 cores had measurable residues of PCB.  This
means that had only replicate cores been taken there would
have been about a 50-50 chance that one of the cores would
have contained a residue.  These data are significant in
light of the fact that sometimes only a single sediment core
is collected to assess pollution in an entire estuary.

     Numerous studies have shown that the magnitude of
persistent residue levels in sediments is usually inversely
proportional to grain size.  In consequence, care must be
exercised in selecting representative sample sites, as well
as in analyzing an adequate number of samples.

     Despite the mathematical pleasure in achieving uniformity
in sampling results, it must be emphasized that averaging data,
either in the electric blender or the calculator, may lead to
serious management errors.  Animals, in general, are not
responsive to average pollution levels, they survive and
flourish as a result of environmental extremes.  A single
high incidence of endrin in the environment can be satisfactorily
averaged away on paper, but at the time of its occurrence all
of the endemic animals may have been killed.

     There is a further important consideration in assessing
the importance of organochlorine residues in aquatic biota.
It is axiomatic that, with a given level of environmental
pollution, the sensitive species and the sensitive
individuals of more tolerant species will be affected first.
•In one experiment, pinfish were fed a diet contaminated with
•about 4 ppm of DDT (4).  At the end of the 14th day, the ten
surviving fish were sacrificed and found to have average
residues of about 4 ppm.  The 25 fish dying during tba 2-
week period averaged about 0.6 ppm of DDT, less than 1/6 as
                             -133-

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much as the resistant individuals.  Obviously, the magnitude
of residues occurring in apparently healthy populations is
not necessarily an indication of  tolerable pollution levels.

Residue differential showing seasonal variations.

     Monitoring programs and laboratory  studies  in which
periodic  samples have been  collected at  sufficiently short
intervals may  show clearly  defined  seasonal variations  in
residue  levels.  Such cyclic changes in  the presence of
relatively  constant pollution loading are  indicative of
basic  physiological changes in  the monitored  species.   For
example,  studies of speckled seatrout in Texas  showed  a 75%
decrease  in gonad DDT residues  in mature fish in the late
 fall  (7).   Lowe reported a  more than 50% decline in DDT and
a 70%  decline  in toxaphene  residues in oysters  continuously
 exposed  to  these pollutants (15).   Oysters exposed
 simultaneously to PCB,  dieldrin and DDT  in the  laboratory
 lost  from 45  to 80% of  the  residues within a  short period
 (16).  Whole  body residues  of mercury in oysters are also
 reported to decline seasonally  in a manner similar to  the
 organochlorine compounds  (8).

      In  each  case,  the  abrupt declines have been clearly
 identified  with the normal  spawning period of the animal in
 question.  That there  should be a significant percentage
 loss  of  such  residues  on a  seasonal basis  is  entirely
 predictable in view of  the  localization, for  example,  of DDT
 in oyster gametes  (1).

      Seasonal declines  in  levels  of organochlorine residues
 in oysters  are also clearly associated with  fluctuating
 levels in the input of  pollutants into the aquatic system.
 In southwest  Florida,  the  former  agricultural use of DDT was
 intensified just  prior  to  the harvest of sweet  corn and
 sugar cane.  Residue  levels of  DDT  in oysters collected
 monthly  in an associated river  basin reflected  this
 management practice; peak DDT residues in oysters were  as
 much as  lOOOx higher  than minimal residue  levels in  1967-68
 (6).

      Fluctuating  industrial discharges may also have
 significant seasonal  effects  on organochlorine  residues in
 molluscs.  Spring  and  fall  manufacturing peaks  in a pesticide-
 producing plant,  for  example, were  closely followed by more
 than 10-fold  increases  in  the  pesticide  residues in oysters
 collected about 10 miles downstream from the  discharge
 pipes (5).
                              -134-

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     Organochlorine residue patterns in estuarine biota
resulting from agricultural and industrial practices may be
masked by the effects of marked changes in river discharge
in the drainage basin because of rainfall variations.

Residue differentials affected by body region monitored.

     Regardless of the mode of entry of organochlorine into
living tissues, there is a partitioning and partial
immobilization of these compounds in fatty tissues because
of their lipophilic nature.  Such segregation is clearly
demonstrated in fish in which adipose tissues are highly
localized.  In coho salmon, for example, DDT residues in a
mid-body fillet range from an average of about 65 ppm in
fatty tissues to less than 6 ppm in the muscle.  The whole
body DDT residue of similar fish was about 12 ppm (17).

     As  discussed above, residue levels increase with age
in fish.  In aquatic mammals the localization of residues
in older individuals may be even more striking.  In a dead
porpoise (Tursiops truncatus) found near Pensacola, Florida,
total DDT residues ranged from about 1.5 ppm in blood, 7 ppm
in the muscle, 9 ppm in the brain to 33 ppm in the liver,
and more than 500 ppm in the blubber (13).  Even in oysters,
where total body fat is only about 4%, there is a marked
localization of DDT residues in the digestive gland, and,
seasonally, in the gonad which contains more fat than other
organs.

     In general monitoring or surveillance programs, the
localization of persistent residues in particular body
regions has little importance from the point of view of
either human health or resource protection so long as the
monitored species is small enough to be analyzed on a whole-
body basis.  Residues large enough to warrant further
investigation will show up in such analyses regardless of
their location in the body.

     It is quite another matter, however, if as in market-
basket surveillance programs, only the products, e.g.,
lobster and shrimp  tails or tuna muscle, are examined.  It
is conceivable then the edible portions would contain
negligible organochlorine residues while the discarded body
parts could contain amounts detrimental to the productivity
of the animal itself or to other animals preying on it in
nature.
                            -135-

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                           SUMMARY

     Successful monitoring of the estuarine environment for
persistent organochlorine pollutants is dependent in large
measure on the collection of appropriately biased samples.
Statistically randomized sample collections are
unsatisfactory for the simple reason that pollution patterns
are not random.  The transport of persistent residues is
dependent on a large number of biological factors which in
turn are modified by physical and chemical parameters of the
environment.

     Monitoring programs have several basic functions and
requirements.  First, they should record existing residues
of persistent pollutants that occur at significant trophic
levels  in aquatic ecosystems.  Sample collection protocols,
as well as analytical procedures, must be sufficiently
standardized to ensure the comparability of data, not only
from one area to another but also from year to year.  It is
essential that monitoring programs collect comparable data
for  sufficiently long periods of time so that pollution
trends  can be identified.  Finally, it should be stressed
that monitoring data must be transmitted on a timely basis
to action agencies.  Agencies mandated to identify and
regulate pollution sources, agencies with resource
protection responsibilities, and agencies concerned with
human welfare must have clearly established communication
channels with environmental monitoring programs.

                      ACKNOWLEDGEMENTS

     I  wish to thank Alfred J. Wilson and Jerrold Forestor of
the  Gulf Breeze Environmental Research Laboratory and Roy
Schutzmann of the Pesticides Monitoring Laboratory of the
Environmental Protection Agency for many of the chemical
analyses reported.
                              -136-

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                      LITERATURE CITED

 1.  Butler, Philip A., 1966.  The problem of pesticides in
         estuaries.  Trans. Amer. Fish.  Soc. Spec. Publ.
 2.  Butler, Philip A., 1966.   Pesticides in the marine
         environment.   J.  Appl. Ecol.  3(Suppl) :253-259.

 3.  Butler, Philip A., 1968.   Pesticide residues in
         estuarine mollusks.   In Proc.  Natl. Symp.  Estuarine
         Pollut., p. 107-121,  Stanford University,  Stanford,
         Calif., 1967.

 4.  Butler, Philip A., 1969.   The significance of DDT
         residues in estuarine fauna.   In Chemical Fallout,
         p.  205-220.  C.  C.  Thomas, Springfield, 111.

 5.  Butler, Philip A., 1969.   Monitoring pesticide
         pollution.  BioScience, 19(10) :889-91.

 6.  Butler, Philip A., 1973.   Organochlorine residues in
         estuarine molluscs,  1965-1972 - National Pesticide
         Monitoring Program.   Pestic.  Monit. J., 6(4):238-
         362.

 7.  Butler, Philip A., Ray Childress,  -and Alfred J. Wilson,
         Jr. 1970.  The association of DDT residues with
         losses in marine productivity.  In M. Ruivo
         (editor), Marine Pollution and Sea Life, p. 262-266.
         Fishing News  (Books)  Ltd. London.

 8.  Cunningham, P. A.  and M.  R. Tripp, 1973.  Accumulation
         and depuration of mercury in the American oyster
         Crassostrea virginica.  Mar.  Biol. 20:14-19.

 9.  Duke,  T. W. , J. I. Lowe and A. J.  Wilson, Jr., 1970. A
         polychlorinated blphenyl  (Aroclor 1254) in the
         water, sediment,  and biota of Escambia Bay, Florida.
         Bull. Environ. Contain. Toxicol. 5(2) : 171-180.

10.  Foehrenbach, Jack, 1970.   N. Y. State Dept. of
         Environmental Conservation, personal communication.

11.  Galtsoff, Paul S., 1964.   The American oyster,
         Crassostrea virginica Gmelin.  U. S. Fish Wildl.
         Serv. Bull. 64:480 p.
                              -137-

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12.   Gillespie, J. R.,  Jr., 1972.  Estuarine Monitoring
         Program - Sample Evaluation Project.  NMFS Contract
         No. N-042-37-72(N).  (unpublished)

13.   Gulf Breeze Environmental Research Laboratory, Gulf
         Breeze, Florida, unpublished data.

14.   Hansen, David J.  and Alfred J. Wilson, Jr., 1970.
         Significance of DDT residues from the estuary near
         Pensacola, Fla.  Pestic. Monit. J. 4(2):51-56.

15.   Lowe, Jack I., Paul D. Wilson, Alan J. Rick, and Alfred
         J. Wilson, Jr., 1971.  Chronic exposure of oysters
         to DDT, toxaphene and parathion.  Proc. Natl.
         Shellfish Assoc., 61:71-79.

16.   Parrish, Patrick R., 1973.   Chronic effects of three
         toxic organics on the American oyster, Crassostrea
         virginica.  Proc. Natl. Shellfish Assoc. Meeting.
         June 1973.  Abstract.

17.   Reinert, Robert E., 1969.  Insecticides and the Great
         Lakes.  Limnos Magazine, Great Lakes Foundation,
         2(3):4-9.

18.   Reinert, Robert E., 1970.  Pesticide Concentrations in
         Great Lakes Fish. Pestic. Monit. J. 3(4):233-240.

19.   Westoo'i G. , 1973.  Methylmercury as percentage of total
         mercury in flesh and viscera of salmon and seatrout
         of various ages.  Science 181:567-568.

20.   Woodwell, George M., Charles F. Wurster, Jr. and Peter
         A. Isaacson, 1967.  DDT residues in an east coast
         estuary.  Science, 156:821-824.
                               -138-

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CONTRIBUTION NO. 192

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Biological Sciences
                OCCURRENCE OF SNOOK ON THE
           NORTH SHORE OF THE GULF OF MEXICO1


                              NELSON R. COOLEY
    U. S. Environmental Protection Agency, Gulf Breeze Environmental Research Laboratory,
                       Sabine Island, Gulf Breeze, Florida 32561

   ABSTRACT: The known range of snook is extended about 100 miles westward to Santa Rosa Sound.

   THE geographical  range  of  Centropomus undecimalis (Bloch) has been
reviewed by Marshall (1958) and Martin and Shipp (1971).  Snook are found in
tropical and subtropical estuarine waters of the eastern coast of the Americas. In
the United States, snook have been reported as far north as  Georgia (Dahlberg,
1972) and the Carolinas (Lunz, 1953; Martin and Shipp, 1971), but are abundant
only in  Texas and peninsular Florida. In Texas, the range rarely extends north of
Port Aransas, although Jordan and Gilbert (1882) reported the species from the
vicinity of Galveston. On the east coast of Florida, Marshall (1958) placed the
   'Contribution No. 192 from Gulf Breeze Environmental Research Laboratory, Associate Laboratory of the
National Environmental Research Center, Corvallis, Oregon.

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No. 2, 1974]                    COOLEY—SNOOK OCCURRENCE                   99

northern limit in the vicinity of Volusia County, noting that the species is oc-
casionally taken in Duval County and in the St. John's River. On the west coast of
Florida, he noted that the northern limit was in the vicinity of Hernando County,
the species appearing to be absent from the north shore of the Gulf of Mexico.
Subsequently, Yerger (1961) reported a single adult from the Gulf off Alligator
Harbor, Franklin County, Florida, but the first record from a northern Gulf coast
estuary appears to be a 351-mm snook caught in St. Andrew Bay, Bay County,
Florida in August 1963 (Vick, 1964). Vick also noted  that local  commercial
fishermen told him that two or three snook were caught in  that bay each year,
usually in August.
    This report extends the known range of the species approximately 100 miles
westward along the northern Gulf coast of Florida into a second estuary. I
identified an adult snook, 395 mm standard  length, that was caught on 3
November 1973 in a gill net in Santa Rosa Sound off Woodlawn Beach, Santa Rosa
County, Florida by Mr. J. A. Briggs, a commercial fisherman. The specimen was
deposited in the museum of the Gulf Breeze Environmental Research Laboratory
as GBERL-1911. Water temperature and salinity were not taken at the collecting
site, but should have been similar to those recorded that day in the  Sound at
Sabine Island, 10 miles west of Woodlawn Beach, namely, 21.0° to 22.0°C and
29.5 to 30.0%o.
    The scarcity of snook along the northern Gulf coast is probably related to their
known sensitivity  to  cold (see  Marshall,  1958, for  review of temperature
tolerance). Nevertheless, during warm seasons, isolated specimens from endemic
populations along the southwestern coast of Florida could move  out of their
nominal range into localities along the northwestern coast of the state.
                            LITERATURE CITED

 DAHLBERC, M. D. 1972. An ecological study of Georgia coastal fishes. U. S. Dept. Commer., Natl. Mar.
      Fish. Sen., Fish. Bull. 70:323-353.
 JORDAN, D. S., AND C. H. GILBERT. 1882. Notes on fishes observed about Pensacola, Florida, and
      Galveston, Texas, with descriptions of new species. Proc. U. S. Natl. Mus. 5:241-307.
 LUNZ, G. R. 1953. First record of the marine fish Centropomus undecimalis in South Carolina. Copeia
      1953:240.
 MARSHALL, A. R. 1958. A survey of the snook fishery of Florida, with studies of the biology of the
      principal species, Centropomus undecimalis (Bloch). Florida State Bd. Conserv. Tech. Paper
      22, 37 p.
 MARTIN, J. R., AND R. L. SHIPP. 1971. Occurrence of juvenile snook, Centropomus undecimalis, in
      North Carolina waters. Trans. Amer. Fish. Soc. 100:131-132.
 VICK, N. G. 1964. The marine ichthyofauna of St. Andrew Bay, Florida, and nearshore habitats of the
      northeastern Gulf of Mexico. Texas A. & M. Res. Found., A. & M. Proj. 286-D, 77 p.
 YERCER, R. W. 1961. Additional records of marine fishes from Alligator Harbor, Florida, and vicinity.
      Quart. J. Florida Acad. Sci. 24:111-116.

 Florida Sci. 37(2):98-99. 1974.

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CONTRIBUTION NO. 193

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Translocation of Four Organochlorine Compounds by

 Red Mangrove  (Rhizophora Mangle L.) Seedlings1
    by GERALD E. WALSH, TERRENCE A. HOLLISTER, and JERROLD FORESTER
                  U.S. Environmental Protection Agency
              Gulf Breeze Environmental Research Laboratory
                   Sabine Island, Gulf Breeze, Fla. 32561
             (Associate Laboratory of the National Environmental
                     Research Center, Corvallis, Ore.)


     Mangrove vegetation  is  common in tropical  estuaries and
 serves as  a  habitat  and source  of food  for many animals (ODUM
 1971).   Because mangrove, both  living and detrital,  is eaten by a
 variety  of animals,  we  conducted studies  to learn  translocatlonal
 patterns of  four  organochlorine compounds in  seedlings to deter-
 mine if  these persistent  compounds could be introduced into
 estuarine  food webs  that  receive contributions  from  mangrove.

     Previous studies showed that mangroves and other plants
 translocated certain toxicants  from the soil  to leaves.  Seedlings
 of  the red mangrove  (Rhizophora mangle  L.) translocated the herbi-
 cides 2,4-D  and picloram  from soil to roots,  hypocotyls, stems,
 and leaves (WALSH et al.  1973).  Translocation  of  the insecti-
 cides dleldrin by alfalfa and hay  (MUMMA et al. 1966), dieldrin,
 endrin,  and  heptachlor  by soybeans  (MASH and  BEALL 1970), and
 mirex by peas and beans (MEHENDALE et al. 1972) has  been demon-
 strated.

     Insecticides have  been  found to be associated with mangrove
 from natural stands. Dieldrin  (0.021 ppm - parts  per million)
 and polychlorinated  biphenyls (0.181 ppm) were  found in red man-
 grove leaves from St. John and  St. Croix  in the Virgin Islands2.
 We  found DDD in roots  (0.022 ppm), hypocotyls (0.220 ppm), stems
 (0.032 ppm), and  leaves (0.019  ppm) of  red mangrove  seedlings
 from Joyuda, Puerto  Rico  (unpublished data).

     In  the  present  study, we investigated translocation of the
 insecticides dieldrin,  methoxychlor^and mirex  and the poly-
 chlorinated  biphenyl (PCB) Arodor (3P1242 by  red mangrove seed-
 lings in the laboratory.

                               METHODS

      Seedlings  18.5 to 38.2  cm long were  obtained  from trees  in
 the Loxahatchee River  near Jupiter, Florida,  and planted in plas-
 tic boxes  that  contained  muddy sand and natural sea  water from an
 estuary  near Gulf Breeze, Florida.  Fifteen seedlings  were planted
 in  each  box.  Salinity of the water that  covered the sediment was
 25  parts per thousand;  pH of the sediment was between  6.3 and 6.7.
 Air temperature was 20 -  23° C. Light  was provided  by overhead
 Grow-LuxQ/ flourescent tubes in a  regime  of  alternate  12-hr
 periods  of light  and darkness.
  Contribution No. 193, Gulf Breeze Environmental Research
  Laboratory.
2
 Philip A. Butler (Gulf Breeze Environmental Research Laboratory,
 Gulf Breeze, Florida).  Personal communication:  Unpublished
 data, EPA National Monitoring Program.
                                129
Bulletin of Environmental Contamination & Toxicology,
Vol. 12. No. 2 © 1974 by Springer-Verlag New York Inc.

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     Technical grade dieldrin (l,2,3,4,10,10-hexachloro-6,7-
epoxy-1, 4, 4a_, 5,6,7,8, 8a-octahydro-l, 4-endo-exo-5,8-dimethano-
napthalene), methoxychlor (l,l,l-trichloro-2,2-bis  (p_-methoxy-
phenyl) ethane), mirex (dodecachlorooctahydro-l,3,4-metheno-lH-
cylobuta (cd) pentalene), and Aroclor 1242 (a mixture of poly-
chlorinated biphenyl isomers), dissolved together in 10 ml of
acetone, were added to the surface of the water.  The same amount
of acetone was added to eight control boxes.  Application rates
were 0.06, 0.11, 0.28, 0.56, 1.12, 2.80, 5.60, and  11.20 kg/ha
(0.05, 0.10, 0.25, 0.50, 1.00, 2.50, 5.00, and 10.00 Ib/acre).
These rates were equal to concentrations of 0.038,  0.075, 0.150,
0.300, 0.600, 1.50, 3.00, and 6.00 ppm in the muddy sand.

     Three boxes of seedlings were treated at each application
rate after one or two pairs of leaves had emerged from the stems.
Two or three seedlings were collected from each box (total of 8
or 9 plants per sample) each week for six weeks after application.
The seedlings were washed with tap water and then with acetone.
Roots, hypocotyls, stems, and leaves of plants from each concen-
tration and the controls were analyzed separately for organo-
chlorine residues.

     Samples were homogenized in a blender with four times their
weight of anhydrous sodium sulfate, then extracted  for four hours
with 10% ethyl ether in petroleum ether in a Soxhlet apparatus.
The extract was concentrated to approximately 15 ml and trans-
ferred to a florisil column (MILLS et al. 1965).

     Methoxychlor, mirex, and Aroclor 1242 were eluted with 6%
ethyl ether in petroleum ether;  dieldrin with 15% ethyl ether in
petroleum ether.  Approximately 1 ml of metallic mercury was
added to approximately 5 ml of the extracts of roots and hypo-
cotyls to remove sulfur compounds that interfered with electron
capture gas chromatography.

     The samples were analyzed with a model 2100 Varian Aerograph
gas chromatograph equipped with 182.8 cm X 2 mm I.D. glass columns
and electron capture detectors.   Two columns were packed with 2%-
0V - 101, one with 3% 0V - 210,  and one with a 1:1 ratio of 2%
0V - 101 and 3% 0V - 210, all on Gas Chrom Q.  Quantitation was
made on the 0V - 101 columns.   The other columns were used to
confirm the analyses.   Carrier gas was pre-purified nitrogen.
Operating conditions were:  injector, 210° C; columns, 195° C;
detectors, 215° C; gas flow, 25  ml/min.

     Aroclor 1242 was quantified by measurement of total peak
height of the 12 major peaks,  which were compared with heights
of the same peaks in a standard solution of known concentration.
The other compounds were quantitated by peak height.
  Aroclor, Registered Trademark, Monsanto Co., St. Louis, Mo.;
  Gro-Lux, Sylvania Electric Products Inc., Salem, Mass.  Mention
  of commercial products does not constitute endorsement by the
  Environmental Protection Agency.
                                130

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     Recovery rates were above 80% in quality-control samples to
which known amounts of the compounds had been added.  Residue
data do not include a correction factor for recovery rate.

                      RESULTS AND DISCUSSION

     Mangrove seedlings translocated the four organochlorine com-
pounds tested, but no visible effects of the compounds on the
seedlings were noted.  None of the compounds was detected in con-
trol seedlings.

Dieldrin

     Dieldrin was translocated to hypocotyls and leaves more
rapidly than were the other compounds.  It was detected in hypo-
cotyls and leaves one week after exposure at all concentrations
and these plant parts contained more of the chemical than did
roots and stems (Table 1).  Dieldrin was never detected in stems
and was not found in roots at exposure concentrations less than
0.28 kg/ha.  Accumulation of dieldrin in leaves was not related
to length of exposure:  concentrations were similar during the
entire exposure.  Average residues in leaves ranged from 0.072
to 0.113 ppm but were not related directly to exposure concen-
trations .
                              TABLE 1

 Average concentrations of dieldrin in roots, hypocotyls, stems,
and leaves of red mangrove seedlings during six weeks of exposure
                     to eight application rates
Application Rate       Average Concentration, Parts Per Million
kg /ha
0.06
0.11
0.28
0.56
1.12
2.80
5.60
11.20
Roots
ND*
ND
Tr**
Tr
0.03
0.04
0.04
0.06
Hypocotyl
0.01
0.02
0.02
0.04
0.08
0.08
0.08
0.16
Stem
ND
ND
ND
ND
ND
ND
ND
ND
Leaves
0.07
0.11
0.11
0.07
0.11
0.07
0.09
0.10
 * Not  detected;  **  Trace,  present but not  quantifiable.  Limit
 of detection  =  0.01 ppm.
      Concentrations  of  dieldrin  in hypocotyls were  often  related
 directly  to  application rates  and to  length  of  exposure.   At
 application  rates  of 1.12 kg/ha  and above, concentrations in
 hypocotyls increased as exposure time increased (Figure 1).
 Concentrations  of  dieldrin  detected in hypocotyls at  the  end  of
 the  six-week exposures  were less than concentrations  of methoxy-
 chlor^ mirex, and  Aroclor 1242 in hypocotyls of seedlings exposed
 at the same  concentration rates.
                                 131

-------
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-------
                               TABLE 2

    Average concentrations of methoxychlor In roots, hypocotyls,
    stems, and leaves of red mangrove seedlings during six weeks
               of exposure to eight application rates
 Application Rate       Average Concentration, Parts Per Million
     kg/ha            Roots      Hypocotyl       Stem      Leaves
0.06
0.11
0.28
0.56
1.12
2.80
5.60
11.20
ND*
ND
ND
ND
ND
0.02
0.06
0.07
ND
ND
0.03
0.26
0.26
0.29
0.31
0.49
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
 * Not detected.  Limit of detection = 0.02 ppm.

 Mirex

      Mirex was detected in seedlings treated at 11.2.0 kg/ha but
 not at lower application rates (Figure 3).  Residues were greatest
 in all plant parts after two weeks of exposure and decreased
 rapidly thereafter.  It was not found in leaves after six weeks of
 exposure and only 0.03 ppm was detected in roots at that time.

 Aroclor 1242

      Aroclor 1242 was detected in roots of seedlings exposed at
 application rates of 5.60 and 11.20 kg/ha but not in stems.  It

                              TABLE 3

   Average concentrations of Aroclor 1242 in roots, hypocotyls,
   stems, and leaves of red mangrove seedlings during six weeks
              of exposure to eight application rates
Application Rate       Average Concentration. Parts Per Million
kg/ha
0.06
0.11
0.28
0.56
1.12
2.80
5.60
11.20
Roots
ND*
ND
ND
ND
ND
ND
0.10
0.10
Hypocotyl
ND
ND
ND
0.35
0.79
0.92
0.53
1.50
Stem
ND
ND
ND
ND
ND
ND
ND
ND
Leaves
ND
ND
ND
0.46
1.11
0.92
0.80
0.90
* Not detected.  Limit of detection =0.1 ppm.
                                 133

-------
         Fig. 3
                                                                  Fig. 4
0.44 r
                            ROOTS      ••—••
                            HYPOCOTYLS *	*
                            STIMS      o——.o
                            HAVES      A«^—A

                          TREATED WITH 11.2O kg/ha
                                                           2.2
0.04
                234
                 WEEKS  OF  EXPOSURE
   Figure 3.  Mirex in roots, hypocotyls,  steins and
   leaves of red  mangrove treated with  11.20 kg/ha.
&
Ml

O
I
x
                                                           1.8
                                                           1.4
                                                           1.0
                                                         §0.6
                                                         2
                                                           0.2
APPLICATION  RATES

 O	••••O  0.56 kg/ha
 •	•  1.12  "
 o.—.0  2.80  "
 v^^v  11.20  "
                                                                                                 y°*%.
                                                                                      /'/

                                                                                    ^-o*
                                                                               x!.'1^
                                                                              »*>•
                                                                               ^..o.	0	...c
                                                                 123456
                                                                           WEEKS Of EXPOSURE

                                                            Figure  4.   Uptake of Aroclor  1242 by hypocotyls
                                                            of red  mangrove.

-------
 was detected In hypocotyls and leaves at application rates of
 0.56 kg/ha and greater (Table 3).

      Concentrations of Aroclor 1242 in leaves did not change with
 time at any treatment rate, but concentrations in hypocotyls in-
 creased in relation to exposure time for at least five weeks
 (Figure 4).  In hypocotyls, concentrations of PCB were greater
 than concentrations of each of the other three compounds.

                              SUMMARY

     Mangrove seedlings from the field were found to contain DDD,
dieldrin, and PCBs.

     In the laboratory, mangrove seedlings translocated dieldrin,
methoxychlor, mirex, and Aroclor 1242 (a PCB) from soil to various
plant parts.  Dieldrin was detected in hypocotyls and leaves of
seedlings exposed to application rates of 0.06 kg/ha and above;
methoxychlor in hypocotyls at rates of 0.28 kg/ha and above;
Aroclor 1242 in hypocotyls and leaves at rates of 0.56 kg/ha and
above; and mirex in roots, hypocotyls, stems, and leaves only at
the highest treatment rate of 11.20 kg/ha.

     The data show that these persistent organochlorine compounds
can be translocated to seedlings.  If the compounds are present
in the natural mangrove environment, it is possible that they
could enter seedlings and pass to higher trophic.levels when
seedlings are eaten by estuarine organisms.

                         ACKNOWLEDGEMENTS

     We thank Mr. Robert L. Goodrick of the Central and Southern
Florida Flood Control District for providing the seedlings used
in these studies.  We also thank Dr. Philip A. Butler, EPA,
Gulf Breeze Environmental Research Laboratory, for redidue data
on mangroves from the Virgin Islands, and Dr. Seppo E. Koleh-
mainen, Puerto Rico Nuclear Center, for sending seedlings from
Puerto Rico.

                             REFERENCES

 MEHENDALE,  H.  M.,  L.  FISHBEIN,  M.  FIELDS,  and  H.  B.  MATTHEWS.
 Bull.  Environ.  Contam.  Toxicol.  8^,  200  (1972).

 MILLS, P. A.,  J.  F.  ONLEY,  and  R.  A.  GAITHER.   J.  Assoc. Off.
 Agric. Chem.  46_,  182 (1965).

 MUMMA, R. 0.,  W.  B.  WHEELER,  D.  E.  H. FREAR, and  R.  H.  HAMILTON.
 Science 152,  530 (1966).

 NASH,  R.  G. and M.  L.  BEALL,  JR.   Science  168.  1109  (1970).

 ODUM,  W.  E.  Univ.  Miami,  Sea Grant Tech.  Bull. No.  7.  162  p.
 (1971).

 WALSH, G.  E.,  R.  BARRETT,  G.  H.  COOK, and  T. A. HOLLISTER.   Bio-
 science 2ji, 361 (1973) .
                                J.OJ

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CONTRIBUTION NO. 195

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                         Reprinted from:
                   POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS
                             ©1974
                        ACADEMIC PRESS, INC.
                New York       Son Francisco       London
IMPLICATIONS OF  PESTICIDE  RESIDUES
      IN THE COASTAL ENVIRONMENT


          THOMAS W. DUKE and DAVID P. DUMAS

        U. S.  Environmental Protection Agency
    Gulf Breeze Environmental Research Laboratory
     Sabine Island, Gulf Breeze, Florida  32561
     Residues of pesticides  occur  in biological and
physical components of coastal and oceanic environ-
ments and some of the residues have been implicated
in degradation of portions of these environments.
The presence of many pesticides can be detected at
the parts-per-trillion level, but  the effects of
such levels of pesticides on the organisms and sys-
tems in which they occur are not clear in many in-
stances.  Knowledge of these effects is especially
important when the residues  occur  in the coastal en-
vironment—a dynamic, highly productive system where
fresh water from rivers mingles with salt water from
the sea.  The coastal zone interfaces with man's
activities on land and, therefore,  is especially sus-
ceptible to exposure to acute doses of degradable
pesticides, as well as chronic doses of persistent
ones.
     This paper briefly reports the state-of-the-art
of research on the effects of pesticides on  coastal
aquatic organisms.  For a comprehensive review of
recent literature in this field, see Walsh  (1972b);
                        137

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            THOMAS W. DUKE AND DAVID P. DUMAS

for a compilation of data, see the EPA Report to the
States (1973).
     Patterns of pesticide usage are changing in this
country and these changes are reflected in amounts of
various pesticides produced annually.  Smaller amounts
of the organochlorine pesticides are being applied
because of their persistence in the environment, the
capability of organisms to concentrate them  (biocon-
centration) and their adverse effects on nontarget
organisms.  For many uses, organophosphates and
carbamates have replaced organochlorines because
organophosphates and carbamates hydrolyze rapidly in
water and, therefore, are not accumulated to the same
extent as organochlorines.  Some of the organophos-
phates, however, are extremely toxic to aquatic
organisms on a short-time basis (Coppage, 1972).
Much effort is being devoted to developing biological
control measures that will introduce viruses and
juvenile insect hormones  into the environment as part
of an integrated pest control program.  The integrated
pest control approach combines biological and chemical
methods to control pests  in an effort to reduce the
amount of synthetic chemicals being added to the
environment.  A list of several important pesticides
that are used currently or appear as residues in
marine organisms or both  is presented in Table 1.
     Samples collected in the National Estuarine
Monitoring Program and in other programs show that a
variety of pesticides occur in biota and nonliving
components of the marine  environment.  Pesticide
residues have been reported in whales from the Pacific
Ocean  (Wolman and Wilson, 1970), fish from southern
California  (Modin, 1969) , invertebrates and fish from
the Gulf of Mexico  (Giam  et al., 1972), fish from
estuaries along the Gulf  of Mexico  (Hansen and Wilson,
1970), fauna in an Atlantic coast estuary (Woodwell
et al., 1967), zooplankton from the Atlantic Ocean
 (Harvey et al., 1972), and shellfish from all three
coasts  (Butler, 1973).  These residues indicate that
pesticides can reach nontarget organisms in the
marine environment and give some indications of
                         138

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              TABLE 1
              Toxic Organics Used as Pesticides or Appearing as Residues in
              Marine Organisms or Both
GJ
              Organochlorines
              (Insecticides)
Organophosphates
 (Insecticides)
  Carbamates
(Insecticides)
Herbicides
Chlordane
DDT
Dieldrin
Endrin
Methoxychlor
Mi rex
Toxaphene
Diazinon
Guthion
Malathion
Naled
Parathion
Phorate

Carbaryl 2,4-D
Carbofuran Picloram
Triazines
Urea




-------
             THOMAS W. DUKE AND DAVID P. DUMAS


biological reservoirs of pesticides in this environ-
ment.  The information obtained in these monitoring
programs is invaluable to those interested in manag-
ing our natural resources, but care must be exercised
in interpreting monitoring data.
     Biological problems that affect the interpreta-
tion of monitoring data were discussed recently by
Butler  (1974).  Factors affecting persistent organo-
chlorine residues include kind of species sampled,
age of individuals monitored, natural variations in
individuals, seasonal variation, and selection of
tissues to be analyzed.  Laboratory experiments and
observations in the field have shown that filter-
feeding mollusks are good indicators of the presence
of organochlorine pesticides in estuarine waters.
These animals are sedentary, have the capacity to
concentrate the chemicals in their soft tissues many
times the concentration in the water and lose the
chemicals rather quickly when exposed to clean water.
Obviously, mollusks would be helpful in locating the
source of a particular organochlorine.  Conversely,
pelagic fish might not be useful in locating a par-
ticular source because they could have accumulated a
residue some distance from the point of collection.
     As patterns of pesticide usage change, techniques
for monitoring the occurrence of the pesticides aj.sc
must change.  Occurrences of organophosphates, carba-
mates and biological control agents cannot be moni-
tored in the same manner as occurrences of organo-
chlorine and other more persistent chemicals.  To
help identify the presence of a pesticide it may be
necessary to utilize changes in biological systems,
as opposed to routine chemical analyses of organisms
or other components of the environment.  Also required
is a concomitant effort to understand the effect of
residues on the organisms and systems in which they
occur.
                         140

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        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS


CONCEPT OF EFFECTS

     The implications of pesticide  residues  in  the
marine and other environments depends  upon the  effect
of the chemicals on the component in which they occur.
A conceptual model of possible effects of pesticides
and other toxic substances on biological  systems is
shown in Figure 1  (Dr. John Couch,  Gulf Breeze  Envi-
ronmental Research Laboratory, Gulf Breeze,  Florida,
unpublished personal communication).   The possible
impact of a stressor on a biological system  is  de-
scribed as the system changes from  (1)  a  normal
steady-state to  (2) one of compensation to  (3)  decom-
pensation to death.  Accordingly, a pesticide could
be considered to have an adverse effect if it tem-
porarily or permanently altered the normal steady-
state of a particular biological system to such a
degree as to render the homeostatic (compensating)
mechanism incapable of maintaining  an  acceptable
altered steady-state.
                     CONCEPT Of POSSIBLE EFFECTS OF
                         TOXIC SUBSTANCES
s
T
A
T
E

OF

B
1
O
L
O
G
1
C
S
Y
S
T
E
M

NORMAL STEADY
STATE


ALTERED STEADY
STATE
(COMPENSATION)
m

DECOMPENSATION

PT. OF NO RETURN!

DEATH -
POST- MORTEM
CHANGE

,,% SUBSTANCE X


i
i
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»



**» '

» N X •'
\ \ " 	 '
\
\
\
\
\
\
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:\
: \
% \
_ ^
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                           0       TIME

      Figr.  1.   Concept of possible effects of toxic
               substances.
                         141

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            THOMAS W. DUKE AND DAVID P. DUMAS


NORMAL STEADY-STATE

     It has been said that the most consistent trait
of biological systems is their inconsistency.  The
normal steady-state of a particular biological system,
therefore, is difficult to define.  Each system, from
an estuarine ecosystem to a system within individual
organisms, has a natural range of variability in such
factors as population density, species diversity,
community metabolism, oxygen consumption, enzyme pro-
duction, avoidance mechanisms, osmotic regulation,
natural pathogens, and others.  Obviously, much must
be known about the normal or healthy system before an
evaluation can be made of the effect of a pesticide
on the system.
     In relation to this, the impact of pesticides on
ecosystems is poorly understood because often the
"normal" system itself is poorly understood.  An eco-
system can be considered a biological component that
consists of all of the plants and animals interacting
in a complex manner with their physical environment.
The "normal" state of a dynamic coastal ecosystem no
doubt depends upon the characteristics of a particu-
lar ecosystem, and changes as the system matures.
The importance of symbiosis, nutrient conservation,
and stability as a result of biological action in an
estuarine ecosystem is pointed out by Odum  (1969).
According to Odum, in many instances, biological con-
trol of population and nutrient cycles prevents
destructive oscillations within the system.  There-
fore, a pollutant that interferes with these bio-
logical actions could adversely affect the ecosystem.

ALTERED STEADY-STATE  (COMPENSATION)

     An acute dose of a pesticide could cause a bio-
logical system to oscillate outside its normal range
of variation, yet with time, the system could return
to the normal state without suffering lasting effects.
An example of this phenomenon at the ecosystem level
was demonstrated by Walsh, Miller, and Heitmuller
                         142

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       POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS


(1971), who introduced the herbicide dichlobenil into
a small pond on Santa Rosa Island.  Applied as a wet-
table powder at a concentration of one part per
million, the herbicide eliminated the rooted plants
in the pond.  As the benthic plants died, blooms of
phytoplankton and zooplankton occurred and a normal
oxygen regime was maintained.  As benthic plants
returned, the number of plankters dropped.  The pond
returned to a "normal" state in reference to the pri-
mary producers approximately 3 months after treatment.
A possible example of such compensation in an indi-
vidual organism was shown recently when spot,
Leiostomus xanthurus, were exposed to Aroclor ®a 1254
under laboratory conditions  (Couch, 1974).  Even
though in many fish no outward signs of stress were
present, the livers of the fish accumulated excess
fat during the tests.  For a period of time, the
liver evidently was able to contend with excessive
fat accumulation, but eventually chronic damage lead-
ing to necrosis occurred; therefore, the fish entered
another biological state.

DECOMPENSATION TO DEATH

     The effect of a stress can eventually reach the
point where the biological system can no longer com-
pensate and death results.  In the instance in which
Aroclor 1254 was related to fat globules in the liver
of fish, continued exposure to the chemical caused a
necrotic liver.  Eventually, the test organisms died
as a result of the exposure.  In the past, most of
the data upon which criteria and standards were based
used death as the criterion for effect.  Much time
and effort now are being devoted to developing other
criteria, such as effects of relative concentrations
of the chemicals on tissue and cell structure, enzyme
     a© Registered trademark:  Aroclor, Monsanto Co.
Mention of commercial products does not constitute  en-
dorsement by the U. S. Environmental Protection Agency.
                         143

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             THOMAS W. DUKE AND DAVID P. DUMAS

reaction, osmotic regulation, behavioral patterns,
growth and reproduction.


ASSESSMENT OF EFFECTS

     The concept just presented is helpful in visual-
izing the manner in which pesticides can affect
coastal organisms and systems.  However, quantitative
information must be developed in order to assess the
effect of a particular pesticide on the environment
or on a component of the environment.  For example,
it is not enough to know that a pesticide causes an
altered steady-state in a fish and eventually causes
death.  The level of pesticide in the environment
that causes the effect must be known and, perhaps
even more important, the level at which no effect
occurs must be known.
     Much of the quantitative information available
on effects of pesticides on marine organisms is in
terms of acute mortality of individual organisms.  In
many instances, these data were obtained through rou-
tine bioassay tests in which known amounts of pesti-
cides are administered to test organisms for a given
period of time.  In routine bioassays, the test
organisms are examined periodically and compared with
control organisms.  If conducted for a short time in
relation to the life span of the organisms, usually
96 hrs, the tests are considered acute.  Longer tests
over some developmental stage or reproductive cycles
are termed chronic.  (An excellent discussion of
bioassays and their usefulness is presented by
Sprague  (1969, 1970).)
     Often, it is necessary to estimate the effect of
a pesticide on the coastal environment from only a
minimum amount of data.  Interim guidelines sometimes
must be issued on the basis of a few acute bioassays
while more meaningful data are being obtained.  An ap-
plication factor is helpful in these instances.  This
factor is a numerical ratio of a safe concentration
of a pesticide to the acutely lethal concentration
                        144

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       POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS


(LC5g).  An estimate can be made for an "acceptable"
level of a pesticide in marine waters by multiplying
the LC5Q determined in acute bioassays by the appro-
priate application factor.  In many instances, an
arbitrary application factor of 0.01 is used when
necessary scientific data have not yet been developed.
For a discussion on obtaining the application factor
experimentally, see Mount  (1968) and Brungs  (1969).
     Information obtained by various bioassay tests
on some toxic organics of current interest is shown
in Table 2.  These results were compiled from the
literature and indicate the most sensitive organisms
tested against these pesticides and organochlorines.
The data give a general idea of the relative toxicity
of the various pollutants.
     During the past few years, the need for data on
chronic or partial chronic exposures and on sublethal
effects of pesticides on marine organisms has become
evident.  Chronic studies involve the exposure of
organisms to a pesticide over an entire life cycle,
and often are referred to as "egg-to-egg" studies.  A
subacute chronic is conducted over part of a life
cycle.  Sublethal studies are designed to determine
if a pesticide has an effect at concentrations less
than those that are lethal to the organisms and uti-
lize such criteria as growth, function of enzyme
systems, and behavior of populations of organisms.

EFFECT OF PESTICIDES ON GROWTH OF ORGANISMS

     The effects of pesticides on marine phytoplank-
ton are often related to growth of the organisms.
The effects often vary according to the pesticide and
to the species of phytoplankton.  For example, Menzel
et al. (1970) found that growth in cultures of marine
phytoplankton was affected by DDT, dieldrin and
endrin.  Dunaliella apparently was not affected by
concentrations up to 1000 parts per billion.  In
Cyclotella, cell division was completely inhibited by
dieldrin and endrin and DDT slowed division of the
cells.  The authors suggested that estuarine species/
                         145

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TABLE 2
Toxicity of Selected Pesticides to Marine Organisms
Substance Tested

Insecticides
Organochlorines :
Chlordane

DDT Compounds
p,p'-DDT(l,l,l-
Trichloro— 2,2— bis
(p-chlorophenyl)
ethane
p,p'-pDD(prp'-
TDE) (1,1-
Dichloro-2 , 2-bis
(p-chlorophenyl)
ethane
p,p'-DDE (1,1-
Diehloro-2 , 2-bis
(p-chlorophenyl )
ethylene
Dieldrin

Endrin



Hethoxychlor

Mirex

Toxaphene

Formulation Organism Tested



100% Palaemon macrodactylus


Technical Penaeus duorarum
77%

99% Palaemon macrodactylus




	 Falco peregrinus



100% Anguilla rostrata

100% Mugil cephalus

100% Menidia menidia

89.5% Palaemon macrodactylus

Technical Penaeus duorarum

100% Gasterosteus aculeatus

Common Name



Korean shrimp


Pink shrimp


Korean shrimp




Peregrine falcon



American eel

Striped mullet

Atlantic silverside

Korean shrimp

Pink shrimp

Threespine
stickleback
Cone, (ppb i
Act. Ingred.)



18
(10-38)

0.12
0.17
(0.09-0.32)

2.5
(1.6-4.0)



	



0.9

0.3

0.05

0.44
(0.21-0.93)
1.0

7.8

Method



TL-50


TL-50


TL-50




eggshell
thinning


LC-50

LC-50

LC-50

TL-50

1OO% paralysis/
death in 11 days
TLH

Test Procedure



96-hr static lab
bioassay

28-day bioassay
lab bioassay

96-hr intermittent flow
lab bioaSsay



DDE in eggs highly
correlated with
shell thinning

96-hr static lab
bioassay
96-hr static lab
bioassay
96-hr static lab
bioassay
96-hr static lab
bioassay
Flowing water bioassay

96-hr static lab
bioassay
Reference



Earnest,
unpublished

Ninuno, et a 1 . ,
unpublished

Earnest,
unpublished



Cade et al..



Eisler, 1970

Eisler, 1970

Eisler, 1970

Earnest,
unpublished
Lowe et al . ,

Katz, 1961








1971







1971











1971




-------
TABLE 2—Continued
Toxicity of Selected Pesticides to Marine Organisms
Substance Tested
Insecticides
Organophosphates t
Diazinon


Guthion










Malathion










Formulation


Technical
Grade

93*

Technical
Grade

Technical
Grade

Technical
Grade

Technical
Grade

Technical
Grade

Technical
Grade

100*

Organism Tested


Cyprinodon variegatus


Gasterosteus acuJe-atus

Cyprinodon variegatua


Lagodon rhoaboides


Leiostomisf xanthurus


Cyprinodon variegatus


Lagodon rhomboides


Leiostonus xanthurus


Tbalassooa bifasciatua

Canton Name


Sheepshead minnow


Threespine
stickleback
Sheepshead minnow


Pinflsh


Spot


Sheepshead minnow


Pinfish


spot


filuehead

Cone, (ppb Method
Act. Ingred.) of
in Water Assessment


100 Mean inhibition
of brain AChE
(Result: >84%>
4.8 TLM

3 Mean inhibition
of brain AChE
(Result: 84%)
10 Mean inhibition
of brain AChE
(Result: 80%)
20 Mean inhibition
of brain AChE
(Result; 96%)
190 Mean inhibition
of brain AChE
(Result: >84%)
238 Mean inhibition
of brain AChE
(Resultt 88%)
238 Mean inhibition
of brain AChE
(Result: 70%)
27 LC-50

Test Procedure


Static bioassay.
48-hr LC 40-60

96-hr static lab
bioassay
Static bioassay.
72-hr LC 40-60

Plowing seawater bio-
assay, 24-hr LC 40-60

Flowing seawater bio-
assay, 24-hr LC 40-60

Static bioassay,
24-hr LC 40-60

Plowing seawater bio-
assay, 24-hr LC 40-60

Flowing seawater bio-
assay, 24-hr LC 40-60

96-hr static lab
bioassay
Reference


Coppage, 1972


Katz, 1961

Coppage, 1972


Coppage and
Matthews, 1974

Coppage and
Matthews, 1974

Coppage, 1972


Coppage and
Matthews, 1974

Coppage and
Matthews, 1974

Eisler, 1970


-------
     TABLE 2—Continued
     Toxicity of Selected Pesticides to Marine Organisms
00
Substance Tested Formulation
Insecticides
Organophosphates :
Haled Technical
Grade

Technical
Grade

Parathion Technical
Grade

, Technical
Grade
Technical
Grade

Methyl
Parathion 100%
Phorate Technical
Grade

Carbamates :
Carbaryl 100%
Technical
Grade

Organism Tested


Lagodon rhomboides


Leiostomis xanthurus


Cyprinodon variegatus


Lagodon rhomboides
Leiostomus xanthurus



Crangon septemspinosa
Cyprinodon vari egra tus



Palaemon macrodactylus
Lagodon rhomboides

Cone . (ppb
Common Name Act. Ingred.]
in Water


Pinfish 23


Spot 70


Sheepshead minnow 10


Pinfish 10
Spot 10



Sand shrimp 2
Sheepshead minnow 5



Korean shrimp 7.0
(1.5-28)
Pinfish 1333

Method
1 of
Assessment


Mean inhibition
of brain AChE
(Result: 89%)
Mean inhibition
of brain AChE
(Result: 85%)
Mean inhibition
of brain AChE
(Result: 84%)
Mean inhibition
of brain AChE
Mean inhibition
of brain AChE
(Result: 90%)

LC-50
Mean inhibition
of brain AChE
(Result: >84%)

TL-50
Mean inhibition
(Result: 81%)
Test Procedure


Flowing seawater bio-
assay, 72-hr LC 40-60

Flowing seawater bio-
assay, 24-hr LC 40-60

Static bioassay.
72-hr LC 40-60

Flowing seawater bio-
assay, 24-hr LC 40-60
Flowing seawater bio-
assay, 24-hr LC 40-60


96-hr static lab
bioassay
72-hr LC 40-60


96-hr intermittent
flow lab bioassay
Flowing seawater bio-
assay, 24-hr LC 40-60
Reference


Coppage and
Matthews, 1974

Coppage and
Matthews, 1974

Coppage, 1972


Coppage and
Matthews, 1974
Coppage and
Matthews , 1974


Eisler, 1969

Coppage, 1972


Earnest,
unpublished
Coppage,
unpublished

-------
TABLE 2—Continued
Toxicity of Selected Pesticides to Marine Organisms



Insecticides
Carbamates:
Herbicides
d rivatives
Pic oram
To don ® 101
(3 .6% 2,4-D
1 .3% picloram)
Triazines :
Ametryne








wash from
sand-coated
particle
formulation
	 Isochrysis galbana
Technical Chlorococcum sp.
acid
acid
acid
acid tricornutun
acid
Technical Chlamydomonas sp.
acid
Technical Monochrysis luthen
acid
Cone . (ppb




5 * 105
	 10



	 60
	 77
Method



of brain AChE
(Result: 84%)
50% decrease in
02 evolution3
50% decrease in
growth
62 evolution3
O2 evolution"1
02 evolution3
growth
50% decrease in
(>2 evolution3
50% decrease in
O2 evolution3




48-hr LC 40-60 unpublished
bioassay 1969
Walsh, 1972a
Measured as ABS. Walsh, 1972a
(525mp) after 10 daysb



(525my) after 10 daysb
	 Hollister and
Walsh, 1973
	 Hollister and
Walsh, 1973

-------
        TABLE 2—Continued
        Toxicity  of Selected  Pesticides  to Marine  Organisms
un


Herbicides
Triazines:
Atrazine Technical
acid
Technical
acid
acid
Urea:
Diuron 	


	


Technical

Technical
acid
	






Isochrysis galbana 	

PhaeodactBJu",

tricornutum

Protococcus sp. 	


Monochrysis lutheri 	


Chlorococcunt sp. 	

Jsocrtrysis galbana 	

Honochrysis lutheri 	


Cone, (ppb
e Act. Ingred.
in Water


100

100
500
500

0.02


0.02


10

10

290


Method
) of
Assessment


50% decrease in
O2 evolution3
50% decrease in
02 evolution3
50% decrease in
growth
50% decrease in
growth

0.52 OPT. DEN.
expt/OPT. DEN.
controlb
0.00 OPT. DEN.
expt/OPT. DEN.
controlb
50% decrease in
growth
50% decrease in
growth
0.67 OPT. DEN.
expt/OPT. DEN.
control5
Test Procedure


	

	
(525mu) after 10 daysb
Measured as ABS .
(525mM) after 10 daysb

10-day growth


10-day growth


10-day growth

lO-day growth

10-day growth


Reference


Walsh,

Walsh,
Walsh,
Walsh,

Ukeles


Ukeles


Walsh,

Walsh,

Ukeles




1972a

1972a
1972a


, 1962


, 1962


197 2a

197 2a

, 1962


        aO2 evolution measured by Gilson differential respirometer on 4 mi of culture in log phase.  Length of test 90 rain.

        bABS. (525mp) = Absorbance at 525 millimicrons wavelength.  OPT. DEN. expt/OPT. DEN. control « Optical density of experimental culture/optical density
        of control culture.                                                    <

-------
        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS


such as Dunaliella, are perhaps less susceptible than
are open ocean forms, such as Cyclotella.  Similar
studies on phytoplankton and PCBs by Fisher et al.
(1972) also suggested that coastal phytoplankton may
be more resistant to organochlorines than are those
found in open ocean.  Isolates of diatoms from the
Sargasso Sea were more sensitive than clones from
estuaries and the continental shelf.  Herbicides ap-
plied to four species of marine unicellular algae
adversely affected their growth (Walsh, 1972a).  Urea
and triazine herbicides were the most toxic of the
formulations tested.  In some instances, smaller
amounts of herbicides were required to inhibit growth
than to inhibit oxygen evolution.  Interestingly,
Dunaliella was most resistant of the four species
tested, as occurred in Menzel's et al. studies (1970).
     The effect of mirex and a PCB, Aroclor 1254, on
growth of ciliate, Tetrahymena pyriformis, was stud-
ied by Cooley et al.  (1972).  Both chemicals caused
significant reductions in growth rate and population
density and the ciliate accumulated both toxicants
from the culture media, concentrating mirex up to
193 times and Aroclor to approximately 60 times the
nominal concentration in the media.  The authors pos-
tulate that if this ciliate encountered similar con-
centrations of these materials in nature, the results
would be a reduction of their availability as food
organisms and nutrient regenerators.  Also, the
capacity of the organisms to concentrate mirex and
Aroclor could provide a pathway for entry of these
chemicals into the food web.
     Growth rates of young oysters, Crassostrea
virginica, as indicated by height and in-water weight,
was significantly reduced in individuals exposed to
5 micrograms of Aroclor 1254 per liter  (ppb) for
24 weeks, but growth rate was not affected in indi-
viduals exposed to 1 part per billion for 30 weeks
(Lowe et al., 1972).  Oysters exposed to 1 part per
billion concentrated the chemical 101,000 times, but
less than 0.2 part per million remain&d after 12
weeks of depuration.  The growth rate of the oyster
                         151

-------
             THOMAS W. DUKE AND DAVID P. DUMAS

was a much more sensitive indicator, since no sig-
nificant mortality occurred in oysters exposed to
5 ppb.
     The effects of mirex on growth of crabs, as
measured by the duration of developmental stages of
crabs as an indicator of their growth, is illustrated
by the work of Bookhout et al. (1972).  The duration
of developmental stages of zoea and the total time of
development was generally lengthened with an increase
in concentration of mirex from 0.01 to 10.0 parts per
billion.  Menippe did not demonstrate this effect,
but the percentage of the extra 6th zoeal stage in-
creased as concentrations of mirex increased.  This
method of determining the effect of mirex on crabs
appears to be more sensitive than previous tests with
juvenile blue crabs reported by McKenzie (1970) and
Lowe et al.  (1971).

EFFECTS OF PESTICIDES ON BEHAVIOR OF ORGANISMS

     The behavioral activity of organisms is a sensi-
tive criterion for determining the effect of pesti-
cides on marine organisms.  Dr. H. G. Kleerekoper has
successfully studied the interactions of temperature
and a heavy metal on the locomotor behavior of fish
in the laboratory  (Kleerekoper and Waxman, 1973) and
will present data on the effect of pesticides on
marine fish later in this volume.  Hansen (1969)
showed that the estuarine fish, Cyprinodon variegatus,
avoided water containing DDT, endrin, Dursban ®k or
2,4-D in controlled laboratory experiments, but the
fish did not avoid test concentrations of malathion
or Sevin ®.c  Likewise, grass shrimp, Palaemonetes
pugio, an important forage food for estuarine organ-
isms, avoided 1.0 and 10.0 ppm of 2,4-D by seeking
     " © Registered trademark:  Dursban, Dow Chemical
Company.
     c® Registered trademark:  Sevin, Union Carbide
Company.
                         152

-------
       POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS


water free of this herbicide, but did not avoid the
five insecticides tested (Hansen et al., 1973).  The
capacity of coastal organisms to avoid water contain-
ing pesticides may enhance their survival by causing
them to move to an area free of pesticides.  Avoid-
ance could be disastrous to a population if, by
avoiding the pesticides, the population is unable to
reach an area where spawning normally occurs.

EFFECTS OF PESTICIDES ON ENZYME SYSTEMS

     Inhibition of the hydrolyzing enzyme, acetyl-
cholinesterase  (AChE) , by organophosphate and carba-
mate pesticides can be used as an indication of the
effect of these chemicals on estuarine fish (Coppage,
1972).  Evidently, esterase-inhibiting pesticides
bind active sites of the enzyme and block the break-
down of acetylcholine, which causes toxic accumula-
tion of acetylcholine.  As a result, nerve impulse
transfers can be disrupted.  Laboratory bioassays
with estuarine fish spot, Leiostomus xanthuius,
showed that lethal exposures of this fish to malathion
reduced the AChE activity level by 81%.  Such informa-
tion developed in the laboratory is useful in evalu-
ating effects of pesticides applied in the field.

EFFECTS OF PESTICIDES ON ECOSYSTEMS AND COMMUNITIES

     Few data are available concerning the effects of
pesticides at the ecosystem or community level of
organization.  This is not surprising considering the
complexities of ecosystems and our lack of knowledge
of the structure and function of coastal zones.
Effects of pesticides could be masked by variations
in population densities and it would require several
years to evaluate such variations.  However, it is
possible to design laboratory and field experiments
to yield information on this complex system.
     An experimental community that received 10
micrograms per liter of a polychlorinated biphenyl,
Aroclor 1254, did not recover to a "normal" state in
                         153

-------
            THOMAS W. DUKE AND DAVID P. DUMAS


terms of numbers of phyla and species after 4 months
(Hansen, 1974).  Communities of planktonic larvae
were allowed to develop in "control" aquaria and
aquaria that received the Aroclor 1254.  Communities
that received 10 micrograms per liter of the chemical
were dominated by tunicates, whereas controls were
dominated by arthropods.  The Shannon-Weaver species
diversity index was not altered by Aroclor 1254, but
numbers of phyla, species and individuals decreased.
     The capacity of a fish population to compensate
for the effect of a pesticide was suggested in a
recent study made in Louisiana, where malathion was
applied aerially to control mosquito vectors of
Venezuelan equine encephalomyelitis (Coppage and
Duke, 1972).  Fish were collected from the coastal
area before, during and after the application of
malathion.  Acetylcholinesterase (AChE) activity in
the brains of fish were used as an indicator of the
effect of malathion on the community of fish.  Levels
of inhibition during and soon after spraying in one
lake approached levels that were associated with
death of fish in laboratory bioassay studies.  The
AChE activity of the fish population returned to
normal within 40 -days after application of the
chemical.

CONCENTRATION FACTORS

     The capacity of organisms to concentrate a pesti-
cide is another factor that must be considered when
evaluating the impact of these chemicals on a coastal
system.  Many of the persistent pesticides are passed
through the food web through accumulation and bio-
concentration.  Some question exists about the mechan-
isms involved in trophic accumulation of fat-soluble
hydrocarbons from water by aquatic organisms (Hamelink
et al., 1971).  Whatever the mechanisms for accumula-
tion, many coastal organisms have the capacity to
concentrate pesticides many times more than the con-
centration occurring in the water around them.  Con-
centration factors, the ratio of the amount of
                        154

-------
        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS


pesticide in the animal to that in the water, for
some specific organisms and pesticides determined by
investigators at the Gulf Breeze Environmental
Research Laboratory are shown in Table 3.


STATE OF THE ART

     Concern about the occurrence of pesticides in
the marine environment is continually emphasized
because surveillance and research on these chemicals
are given high priority by knowledgeable scientists.
The analytical capability for determining residues of
some pesticides in the parts per trillion range is
available, but we often do not understand the bio-
logical or ecological significance of these residues.
We need more information on chronic exposures of
sensitive marine organisms during complete reproduc-
tive cycles and on effects of sublethal levels of
exposure.  Also, information is required on the
structure and function of coastal ecosystems and
criteria for evaluating the stress of pesticides on
these systems.  Laboratory microcosms and other kinds
of experimental environments no doubt will be useful
in this evaluation.
     As mentioned previously, use-patterns of pesti-
cides in this country are changing.  We must be pre-
pared to evaluate possible effects, on the environ-
ment, of integrated pest control procedures, whereby
biological control may be just important as chemical
control of pests.  Viruses and juvenile-hormone
mimics are being tested for use as pesticides and
could inadvertently reach the coastal zone.  The
research effort to evaluate the impact of these new
agents must take into account that the coastal
environment already contains residues of pesticides,
persistent organochlorines, and other pollutants.
                         155

-------
TABLE 3
Accumulation of Pesticides from Water by Marine Organisms3-




\— 1
en
cr>



















Substance Tested Organism Tested
Insecticides
Organochlorines :
Chlordane pseudomcnas spp.

DDT Brachidontes recurvus

Mercenaria mercenaria

My a arenaria

Crassostrea gigas

Penaeus duorarum
Lagodon rhomboides

Dieldrin Mercenaria mercenaria

Endrin Mercenaria mercenaria

Methoxychlor Mercenaria mercenaria

Mirex Tetrahymena pyriformis W




Penaeus duorarum
Common Name


Hooked mussel

Hard-shell clam

Soft-shell clam

Pacific oyster

Pink shrimp
Pinfish

Hard-shell clam

Hard-shell clam

Hard-shell clam

	




Pink shrimp
Exp
10

1

1

0

1

0
0
p.
0

0

1

0




0
. Cone.
ppm


ppb


ppb

.1

.0

.14
•1,
pb
.5

.5

.0

.9




.1

ppb

ppb

ppb
1.0

ppb

ppb

PPb

ppb




ppb
Cone . Factor Time
0.83

24,000

6,000

8,800

20,000

1,500
10,600
38,000
760

480

470

193




2,600
10 days

1 week

1 week

5 days

7 days

3 weeks
2 weeks

5 days

5 days

5 days

1 week




3 weeks
Special Details
Mixed culture of
four species
Whole body residues
(Meats)
Whole body residues
(Meats)
Whole body residues
(Meats)
Whole body residues
(Meats)
Whole body residues
Whole body residues

Whole body residues
(Meats)
Whole body residues
(Meats )
Whole body residues
(Meats)
Axenic cultures
incubated at 26°C;
concentration
factor on dry
weight basis
Whole body residues
Reference
Bourquin , unpublished

Butler ,

Butler,

Butler,

Butler,


1966

1966

1971

1966

Nimmo et al. , 1970
Hansen
1970
Butler ,

Butler,

Butler ,

Cooley




Lowe et
and Wilson,

1971

1971

1971

et al., 1972




: al., 1971

-------
     TABLE 3—Continued
     Accumulation of Pesticides from Water by Marine  Organisms3-
in
•vj
Substance Tested Organism Tested
Insecticides
Organochlorines :
Mirex Rhi thropanopeus
harrisii



Callinectes sapidus

Thalassia testudinum




Halogenated Hydro-
carbon:
Polychlorinated
biphenyl IfCB)
Aroclor 1254 Tetrahynena pynformis I



Palaemonetes pugio



Common Name Exp. Cone. Cone. Factor Time Special Details


Mud crab (larvae) 0.1 ppb 1,000 7 weeks Static culture bowl
method with a
change to fresh
medium + chemical
each day
Blue crab 0,1 ppb 1,100-5,200 3 weeks Whole body residues
(juveniles)
Turtle grass 0.1 ppb 0 leaves 10 days Plants exposed to
0.36 rhizomes chemical through
rhizomes ; concen-
tration factor on
wet weight basis




incubated' at 26°C;
concentration
factor on dry
weight basis
Grass shrimp 0.62 ppb 2,069 1 week Whole body residues
(Meats)
26,580 5 weeks Whole body residues
(Meats)
Reference


Bookhout et al . , 1972




Lowe, unpublished

Walsh and Hollister,
unpublished







Cooley et al. , 1972



Nimmo and Heitmuller,
unpublished
Nimmo and Heitmuller,
unpublished

-------
       TABLE 3—Continued

       Accumulation of Pesticides  from Water by Marine Organisms3
in
00
Substance Tested Organism Tested
Insecticides
Halogenated Hydro-
car bom
Polychlorinated
biphenyl (PCB)
Aroclor © 1254 Penaeus duorarura

Lagodon rhomboitjes
Leiostomus xanthurus

Thalassia testadinum




Herbicide
Tordon® 101 Rhlzophora mangle
(39.6% 2,4-D;
14.3% picloram)


Thalassia testudlnum




Common Name Exp. Cone.


Pink shrimp 2.5 ppb

Pinfish 5 ppb
Spot 1 ppb
5 ppb
Turtle grass 5820 ppb





Red mangrove 14.4 ppb




Turtle grass 5 ppm




Cone. Factor


1,800
7,600
2,800-21,800
17,000-27,000
9,200-30,400
0 leaves
0 rhizomes




Stems
1.28 (2,4-D)
0.64
(picolinic
acid)
Leaves
0 (2,4-D)
0 (picolinic
acid)

Time


2 days
9 days
2-15 weeks
4-8 weeks
3-6 weeks
10 days





20 days




10 days




Special Details


Whole body residues
Whole body residues
Whole body residues
Whole body residues
Whole body residues
Plants exposed to
chemical through
rhizomes j concen-
tration factor on
wet weight basis

Seedlings treated
when two pairs of
leaves were present;
concentration factor
on wet weight basis
Plants exposed to
chemical through
rhizomes ; concen-
tration factor on
wet weight basis
Reference


Nimmo et al. , 1971
Ninmo et al. , 1971
Hansen et al. , 1971
Hansen et al., 1971
Hansen et al. , 1971
Walsh and Hoi lister,
unpublished




Walsh et al., 1973




Walsh and Hollister,
unpublished



      Information developed at the Environmental Protection Agency's Gulf Breeze Environmental Research Laboratory,

-------
        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS


ACKNOWLEDGMENTS

     We thank C. M. Herndon for assistance in prepar-
ing the manuscript; N. R. Cooley, D. J. Hansen and
M. E. Tagatz for their constructive criticism of the
manuscript; and the investigators at this laboratory
for freely supplying data  (some unpublished) for the
tables.
LITERATURE CITED

Bookhout, C. G., A. J. Wilson, Jr., T. W. Duke, and
     J. I. Lowe.  1972.  Effects of mirex on the
     larval development of two crabs.  Water, Air and
     Soil Pollution 1:165-80.
Bourquin, A. W.  Unpublished data.  Environmental
     Protection Agency, Gulf Breeze Environmental
     Research Laboratory, Gulf Breeze, Florida.
Brungs, W. A.  1969.  Chronic toxicity of zinc to
     the fathead minnow, Pimephales promelas
     Rafinesque.  Trans. Am. Fish. Soc. 98:272-79.
Butler, P. A.  1966.  Pesticides in the marine
     environment.  J. Appl. Ecol. 3:253-59.
	.  1971.  Influence of pesticides on marine
     ecosystems.  Proc. Roy. Soc. London B 277:321-29.
	.  1973.  Organochlorine residues in
     estuarine mollusks, 1965-1972—National Pesti-
     cide Monitoring Program.  Pestic. Monitor. J.
     6:238-62.
     	.  1974.  Biological problems in estuarine
     monitoring.  Proceedings of Seminar on Standardi-
     zation of Methodology in Monitoring the Marine
     Environment held in Seattle, Washington,
     October 16-18, 1973.  In press.
Cade, T. J., J. L. Lincer, C. M. White, D. G. Roseneau,
     and L. G. Swartz.  1971.  DDE residues and egg-
     shell changes in Alaskan falcons and hawks.
     Science 172:955-57.
                        159

-------
             THOMAS W. DUKE AND DAVID P. DUMAS


Cooley, N. R.,  J. M. Keltner,  Jr., and J. Forester.
     1972.  Mirex and Aroclor  ® 1254:  effect and
     accumulation by Tetrahymena pyriformis Strain W.
     J. Protozool. 19:636-38.
Coppage, D. L.   Unpublished data.  Environmental
     Protection Agency, Gulf Breeze Environmental
     Research Laboratory,  Gulf Breeze, Florida.
	.  1972.  Organophosphate pesticides:
     specific level of brain AChE inhibition related
     to death in sheepshead minnows.  Trans. Am.
     Fish. Soc. 101:534-36.
           and T. W. Duke.  1972.  Effect of pesti-
     cides in estuaries along the Gulf and southeast
     Atlantic Coasts.  In:  Proc. Second Gulf Conf.
     on Mosquito Suppression and Wildl. Manage.,
     pp. 24-31.
           and E. Matthews.  1974.  Short-term
     effects of organophosphate pesticides on
     cholinesterases of estuarine fishes and pink
     shrimp.  In press.
Couch, J.  1974.  Histopathologic effects of pesti-
     cides and related chemicals on the livers of
     fishes.  Proc. of Symposium on Research of
     Fishes sponsored by the Registry of Comparative
     Pathology.  University of Wisconsin Press.
     In press.
Davis, H. C. and H. Hidu.  1969.  Effects of pesti-
     cides development of clams and oysters and on
     survival and growth of the larvae.  Fish. Bull.
     67:393-404.
Earnest, R.  Unpublished data.  Effects of pesticides
     on aquatic animals in the estuarine and marine
     environment.  In:  Annual Progress Report 1970.
     Columbia, Mo.:  Fish-Pesticide Research Labora-
     tory, Bur. Sport Fish. Wildl., U. S. Dept.
     Interior.
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                         160

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        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS
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Hamelink, J. L., R. C. Waybrant, and R. C. Ball.
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Hansen, D. J.  1969.  Avoidance of pesticides by
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	, P. R. Parrish, J. I. Lowe, A. J. Wilson,
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    	, S. C. Schimmel, and J. M. Keltner, Jr.
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    	 and A. J. Wilson, Jr.  1970.  Significant
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            THOMAS W. DUKE AND DAVID P. DUMAS


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Lowe, J. I.  Unpublished data.   Environmental Protec-
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	, P.  R. Parrish, J. M. Patrick, Jr., and
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                         162

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       POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS

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Mount, D. I.  1968.  Chronic toxicity of copper to
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	 and P. T. Heitmuller.  Unpublished data.
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          , A. J. Wilson, Jr., and R.  R. Blackman.
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                         163

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            THOMAS W. DUKE AND DAVID P. DUMAS
           and T. A.  Hollister.   Unpublished data.
     Environmental Protection Agency, Gulf Breeze
     Environmental Research Laboratory, Gulf Breeze,
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    	, C. W. Miller, and P.  T.  Heitmuller.  1971.
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                        164

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CONTRIBUTION NO. 196

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                         (17)
     Effects of the Polychlorinated Biphenyl,
       Aroclor®1016, on Estuarine Animals

PATRICK R. PARRISH, DAVID J. HANSEN, JOHN N.  COUCH,
      JAMES M. PATRICK, JR., AND GARY H. COOK
        U.S. Environmental Protection Agency
    Gulf Breeze Environmental Research Laboratory

  Acute  toxicity and rate of uptake and  depuration of
the polychlorinated  biphenyl  (PCB), Aroclor® 1016,
were determined for certain estuarine animals in flow-
ing sea water bioassays.  Ninety-six hour  ECSO's were:
American oyster (Crassostrea virginica), 10.2 /tg/1; brown
shrimp (Penaeus aztecus), 10.0 /ig/1; and grass shrimp
(Palaemonetes pugio), 9.1 /ig/1.  Pinfish (Lagodon rhom-
boides) did not die when  exposed to 100 /tg/1 for  96
hours,  but significant mortality occurred  when pinfish
were exposed to 32 /ig/1 for 42 days.  Further, altera-
tions in the pancreatic  exocrine tissue surrounding the
portal veins occurred in pinfish from the 42-day exposure.
Maximum  whole-body residue  (wet-weight)  in pinfish
was  17,000 X  the  nominal  concentration  in  test water
and whole-body residue after a 56-day depuration period
in PCB-free water decreased 61%.  Oysters  exposed to
10 /ig/1 for 84  days accumulated the chemical 13,000 x
the concentration in test water and no PCB residue was
detectable after a  56-day depuration period. — ® Regis-
tered  trademark, Monsanto Company, St. Louis, MO.
Mention of commercial products or trade names does not
constitute endorsement  by  the Environmental  Protection
Agency. — Contribution No. 196, Gulf Breeze Environ-
mental Research Laboratory.
          Reprinted from The ASB Bulletin,
          Vol. 21, No. 2, April 1974, p. 74.

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CONTRIBUTION NO. 198

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                           Re printed from
                          AMD PHYSIOIOGY OF IUIINE 9IGANISHS
                              ©1974
                          ACADEMIC PRESS, INC
                  New York      Son Francisco       Londei
 SOME  PHYSIOLOGICAL CONSEQUENCES  OF
    POLYCHLORINATED  BIPHENYL- AND
  SALINITY-STRESS IN  PENAEID SHRIMP


            D. R. NIMMO and L.  H.  BAHNER

           Environmental Protection Agency
    Gulf Breeze Environmental Research Laboratory
             Gulf Breeze, Florida  32561
     Estuaries are dynamic environments where there
are many factors that fluctuate,  such as temperature,
salinity,  currents, hydrostatic pressure, and oxygen
or carbon  dioxide concentrations.  Unfortunately,
domestic sewage  (nutrients), oils, industrial chemi-
cals, pesticides, metals, or altered temperatures are
an influence in estuaries.  The combined effects of
the natural  and man-introduced factors are largely
unknown.  In contrast, these interactions could
adversely  affect the biota of an  estuary before such
a trend was  recognized.  Therefore, one of the major
problems facing us today is understanding and pre-
dicting the  interactions of pollutants and natural
stresses.
     It is common knowledge that  the commercial
shrimps along the Gulf Coast undertake distinct
euryhaline migrations.  After adult shrimp spawn
in the open  Gulf from spring to fall, the post-
mysids and juveniles migrate into the fresher waters
of bays where they grow rapidly to adulthood before
returning to the Gulf.  Obviously, these stages of
                        427

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                D. R. NIMMO AND L. H. BAHNER


shrimp must be able to adjust to the changing salini-
ties encountered in the estuary, and any factor
diminishing the ability of the shrimp to adjust physi-
ologically to these changes would have a detrimental
effect on them.
     One group of chemicals introduced by man that
has recently been of concern to many ecologists is the
PCBs, or polychlorinated biphenyls.  In 1969, a PCB,
identified as Aroclor ® 1254a was discovered as a con-
taminant in water, sediment, and fauna of Escambia Bay,
Florida (Duke et al., 1970).  An early survey indicated
that whole body residues of the chemical in feral
shrimp were as high as 14 mg/kg whole body (Nimmo
et al., 1971a).  Subsequent toxicity tests on juvenile
pink shrimp (Penaeus duorarum) revealed that about
1.0 pg/& in the water would kill 50% of the experi-
mental animals within 15 days  (Nimmo et al., 1971b).
     While conducting bioassays at our laboratory we
noted on several occasions that salinity appeared to
affect toxicity.  In one instance, adult pink shrimp
were exposed chronically to a sublethal concentration
of the chemical  (about 1.0 pg/£).  The purpose of the
test was to determine whether structural damage might
occur in gill tissue.  On day 27 of exposure at which
time we had recorded no previous deaths from the PCB,
the salinity of the incoming water decreased front
20 o/oo to 11 o/oo within 4 hrs due to rain, tides and
wind.  As a result, ten experimental shrimp died before
the salinity had returned to 20 o/oo.  During the next
2 days, the salinity was lowered again by aberrant
tides and climatic conditions and more experimental,
but not control, shrimp died.  We, therefore, became
interested in the possible interaction of Aroclor ©
1254 and environmental stress, particularly the effect
of PCB on the ability of shrimp to regulate osmotically
and ionically at reduced salinities.
     Mention of commercial products does not consti-
 tute endorsement by the U. S. Environmental Protection
 Agency.
                         428

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       POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS


MATERIALS AND METHODS

     Adult brown shrimp  (Penaeus aztecus), 11.5 to
13.7 on, rostrum to telaon, were captured near Gulf
Shores, Alabama, and used in our studies.  Approxi-
mately equal numbers of both sexes were used and the
methods of exposure to the Aroclor ® 1254 were similar
to those reported previously (Nimmo et al., 1971a)
except that the shrimp were maintained at 30 ± 1 o/oo
S, 25 ± 2°C, and the exposures to the chemical were
"sublethal" and lasted but 7 days.  Three ug/£ were
chosen as the test concentration because previous
tests with adult brown shrimp,  as well as adult pink
shrimp (P. duorarum), demonstrated that this concen-
tration would cause 50 o/oo mortality within 30 days.
     Following exposure to PCB, equal numbers of PCB-
exposed and control shrimp were transferred to sepa-
rate aquaria.  The experimental procedure is shown in
Figure 1.  Since the possibility existed of physiolog-
ical stress from handling or inherent in the experi-
mental design, both PCB-exposed and control shrimp
were analyzed for osmotic and ionic concentrations
after being subjected to the procedure without ex-
ternal salinity change (30 o/oo).  While temperature
was kept constant, the salinity in each aquarium was
gradually lowered during 8 hrs to a predetermined
level.  For the first group, the salinity was main-
tained at 30 p/oo for 8 hrs; the second, salinity was
lowered from 30 o/oo to 22 o/oo; the third, from
30 o/oo to 10 o/oo; and the fourth, from 30 o/oo to
7 o/oo.  Although there was a time differential
between groups of shrimp, and, therefore, a possible
difference in test animals due to a slight loss of
PCB, analyses for the chemical revealed no significant
difference in whole body concentrations among groups
 (Table 1)-  As in earlier studies, there was a wide
range in individual concentrations of PCB  (Nimmo
et al., 1971b).
                         429

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                  D. R. NIMMO AND L. H. BAHNER
     CONTROL SHRIMP

      Carrier only
                        Held for 7 days In flowing
                         watar at 30 + 1 °/oo
                               salinity
                                           EXPERIMENTAL SHRIMP

                                            Aroelor® US*
                                           (3 ug/t) + carrier
                                 30 "too to 10 °/oo   \3O loo to 7 "loo
30 "too	    30 "loo to 22 "loo
         Salinity acres*:  flowing watar with the capacity of controlled flux
                            of 8-hr duration
                         Blood sample drawn from
                         perlcardlal »inu«, placed
                         in glass tuba, allowed to
                         clot and oaaotlc concen-
                         tration determined
                                              . Shrimp saved
                                               for residua
                                               analysis
                                                 
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        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS


TABLE 1
Whole Body Concentrations of Aroclor ®1254 in PCB-
Exposed Shrimp*
Salinity
0/00
30
22
10
7
mg/kg
Average
9.6
7.8
7.1
8.5
Range
3.0-13.7
1.9-18.8
3.9-14.0
2.8-15.0
     Concentration of Aroclor © 1254 in the test
water was 3 ppb; length of exposure, 7 days.  Control
shrimp had less than 0.1 ppm of Aroclor ®1254.

osmotic pressure was measured on whole blood or on
serum, but an individual analysis showed no signifi-
cant difference in osmotic concentrations.  Replicate
determinations of 10 separate aliquots of pooled sera
from several shrimp yielded a standard error of 1.2
(mean concentration ^ 629 mOs).
     Analyses of ions were performed on ashed sera.
To prepare the sample, the clot  contained in the
osmometer tube war squeezed with a  small glass rod,
the clot was removed and 0.2 ml  of  the serum was
transferred to a small crucible.  The crucible was
placed in an oven and the contents  ashed at 480°C for
6 hrs, cooled and the ash was dissolved in 2N I^SO^.
Analysis of chloride was performed  with a Buchler-
Cotlove Chloridometer ® and cations were determined
on a Model 403 Perkin-Elmer © atomic absorption
spectrophotometer equipped with  a deuterium arc-
background corrector and an HGA-70  heated graphite
atomizer.  Cations in standard solutions were in the
same proportions as those in the sera.  As a check on
our methods, an analysis of a single aliquot of serum
                          431

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                 D. R. NIMMO AND L. H. BANNER


by emission and  atomic  absorption yielded identical
results for potassium.   Five replicates of pooled
sera from several shrimp yielded a standard error of
0.24 mEq/1 for Cl  (mean =  257 mEq/1).  Replicate
analyses on serum aliquots yielded standard errors
in mEq/1 of 8.26 for  Na (mean = 324.9) , of 0.04 for
Mg (mean = 16.0), of  0.07  for K (mean = 8.1), of 0.19
for Ca  (mean = 4.74), and  of 0.10 for Cu (mean = 2.84).
     The 95% confidence interval was  used to evaluate
significance of  differences in  the data.  The 95%
intervals are indicated in the  graphs by vertical
bars on each datum and  are listed in  each table.
Since it is sometimes difficult to relate "osmolality"
or "osmotic concentration" to the environment, we
expressed the concentration of  the environment as
salinity.  The relationship between mOs and salinity
is indicated along the  X axis in Figure 2.
       15OO
     llOOO
     X
     D
     at
       soo
             Our irudy co»«i«d th«
             ran§« of 7 - 3O °/M> salinity.
                  SOO       1OOO
                  	27	3O SALINITY °fc«
                     ENVIRONMENT
1SOO (mOs)
     Fig. 2.  Osmotic concentration:  Serum-
     environment in Penaeus aztecus  (after
     McFarland and Lee, 1963).  Our study
     covered the range of 7 o/oo to 30 o/oo
     salinity.
                         432

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        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS


     Concentrations of Aroclor ® 1254 were determined
on individual shrimp by gas chromatography, using
procedures summarized earlier  (Nimmo et al., 1971b).

RESULTS

     The most significant result of this study was  the
discovery that a sublethal concentration of Aroclor
1254 at constant salinity for 7 days became lethal
when the species was subjected to a gradual decrease
in salinity over an 8-hr period.  Usually the shrimp
exhibited increased swimming activity while the salin-
ity changed from 30 o/oo to 20 o/oo; this was the only
observed behavioral aberration.  Experimental shrimp
began to die at a salinity of about 12 to 13 o/oo.
After 8 hrs of exposure to 10 o/oo and 7 o/oo salinity,
mortality of experimental shrimp was nearly 50%.  When
50% of the experimental shrimp had become moribund  or
had died, living PCB-exposed shrimp were taken for
analyses of osmotic concentrations and ion determina-
tions on sera.
     The results of these analyses indicated that
concentrations of most major ions in the sera of PCB-
exposed shrimp became significantly less as the ambi-
ent salinity decreased, the sum of major ions  (e.gr.,
Na, Ca, Mg, K, Cu, and Cl) was 18% less after ambient
salinity reached 10 o/oo or 7 o/oo  (Fig. 3).  Of this
total, sodium was 16% less  (Fig. 4), chloride, 19%
(Fig. 5) and calcium, 25%  (Fig. 6).  There was some
indication that magnesium iecreased, although the
loss was not statistically significant  (Table 2}.   No
apparent differences in potassium  (Table 3), or
copper  (Table 4) were noted.
     Data for iron  (Table 5) are not included in the
totals in Figure 3 because we  could not distinguish
the divalent from the trivalent  form.
     Despite significant alterations in the major  ion
complement or in some major ions, osmotic concentra-
tion was not significantly affected by PCB  and salin-
ity stress  (Table 6).  Seemingly, osmotic pressure
was less in PCB-exposed shrimp at 10 o/oo or 7 o/oo
                          433

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                D. R. NIMMO AND L. H. BANNER
salinity/ but individual variation was too great to
show a significant difference  from controls.
        MOO
         SOO
                10  SALINITY <%o)   22
          Fig. 3.  Total ions  in brown shrimp
          serum in relation  to salinity.
         600
         soo
        0400
         300
         700
                    SALINITY (%o)
                                            30
          Fig. 4.  Serum sodium in brown
          shrimp in relation  to salinity.
DISCUSSION

     Knowledge of interactions  between toxic com-
pounds and environmental  factors  is essential for
predicting their effects  on  ecosystems or species.
Examples of this need have been demonstrated in both
fresh and marine investigations.   In fresh water.
                          434

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        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS
         600
         2001
                10  SALINITY (%o>
          Fig. 5.  Serum chloride in brown
          shrimp in relation to salinity.
         40
        1J26
        w
          19
          12
                10  SALINITY Wbo)
                                 22
                                            30
          Fig. 6.  Serum calcium in brown
          shrimp in relation to salinityf

low-level chronic exposure of the darter (Etheostooia
nigrum) to dieldrin greatly affected its ability to
survive thermal stress  (Silbergeld, 1973).  The sub-
lethal effects of mercury on fiddler crabs (Vca
pugilator) reduced survival times when crabs were
placed under temperature and salinity stress
(Vernberg and Vernberg,  1972).  Mortality of fiddler
crabs that were previously exposed to cadmium was
greatest at high temperatures and low salinities
(O'Hara, 1973).
                          435

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                D. R. NIMMO AND L. H. BAHNER


TABLE 2
Average Serum Concentrations of Magnesium in Brown
Shrimp in Relation to Salinity
Salinity

o/oo
30
22
10
7
mEq/1
Control

20.1
16.3
14.8
15.0
95% Conf .
Interval
16.7-23.5
14.2-18.4
12.4-17.2
11.7-18.3
Experi-
mental
17.3
14.6
13.0
11.5
95% Conf.
Interval
12.7-21.8
12.3-16.9
11.0-15.0
8.9-14.2
 TABLE  3
 Average  Serum Concentrations of Potassium in Brown
 Shrimp in Relation  to Salinity
Salinity

0/00
30
22
10
7
mEq/1
Control

14.2
11.7
10.4
9.6
95% Conf.
Interval
13.5-14.9
11.1-12.3
9.8-11.2
8.4-10.7
Experi-
mental
14.7
12.1
10.1
10.0
95% Conf.
Interval
13.6-15.7
11.2-12.9
8.7-11.4
8.4-11.6
      In our studies Aroclor ® 1254 possibly inter-
 fered with the adenosine triphosphatase (ATPase)
 activity in gills of shrimp.   ATPase activity is
 associated with active ion transport (Tanaka,
 Sakamoto, and Sakamoto, 1971).  Polychlorinated in-
 secticides and the related polychlorinated biphenyls
                          436

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        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS

have been shown by several "in vitro" assays to
inhibit ATPase in the tissues of fishes  (Davis and
Wedemeyer, 1971a, 1971b; Davis, Friedhoff and
Wedemeyer, 1972; Cutkomp et al., 1972; Yap et al.,
1971) and in the nerves of lobsters (Matsumura and
Narahashi, 1971).  The need for greater efficiency

TABLE 4
Average Serum Concentrations of Copper in Brown
Shrimp in Relation to Salinity
Salinity
o/oo
30
22
10
7
Control
4.7
4.0
5.2
4.8
mEq/1
95% Conf. Experi-
Interval mental
3.6-5.9
3.4-4.6
4.0-6.4
3.9-5.7
5.3
5.9
4.6
5.7
95% Conf.
Interval
4.4-6.3
4.8-7.0
3.8-5.3
5.0-6.4
TABLE 5
Average Serum Concentrations of Iron in Brown Shrimp
in Relation to Salinity
Salinity                      mM/1
           Control   95% Conf.    Experi-   95% Conf.
  o/oo               Interval     mental    Interval
   30
   22
   10
    7
.23
.28
.20
.24
.17-.29
.15-.35
.15-.25
.14-.33
.31
.18
.26
.33
.15-.48
.14-.22
.17-.35
.24-.41
                         437

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                D. R. NIMMO AND L. H. BANNER


TABLE 6
Average Serum Osmotic Concentrations in Brown Shrimp
in Relation to Salinity
Salinity
o/oo
30
22
10
7
Control
749
687
551
547
Milliosmoles
95% Conf . Experi-
Interval mental
728-771
665-708
508-593
521-572
752
688
523
516
95% Conf.
Interval
726-779
658-718
500-546
495-537
or capacity of ATPase in marine organisms can be
inferred from the results of Pfeiler and Kirschner
 (1972), who showed that gill ATPase activity of
rainbow trout adapted to salt water, was greater than
in fish adapted to fresh water.
   Polychlorinated hydrocarbons have interfered with
either osmo- or ionic-regulation in aquatic animals
 (Eisler and Edmunds, 1966; Grant and Mehrle, 1970;
Kinter et al. , 1972; Nimmo and Blackman, 1972).  The
physiological relationship of ionic effects to that
of ATPase activity was first reported by Kinter et al.
 (1972), who postulated that lipophilic agents such as
DDT and PCBs, might interact with the phospholipid-
activating components of the lipoprotein enzyme.  The
effect of dieldrin on ion movement in the nervous
system of cockroaches showed that dieldrin inhibited
binding of calcium to the phospholipid moiety of the
enzyme, thus inhibiting the movement of calcium
across the nerve membrane  (Hayashi and Matsumura,
1967).  Calcium salts in fresh water greatly increased
the ability of marine and euryhaline animals to sur-
vive  in that medium. (Black, 1957).  Toxic symptoms of
DDT poisoning in freshwater fish could be alleviated
by the addition of calcium salts  (Keffler, 1972).  In
                         438

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        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS


our studies calcium was lowered 25% in the sera of
PCB-exposed shrimp at 7 o/oo salinity, and it may be
that this reduction was responsible in part for the
observed decrease in sodium, chloride, and other ions.
     Field observations of juvenile and subadult brown
shrimp by several investigators indicate that those
shrimp tolerate a wide range of salinities:

   Salinity          Location            Observer
0.22-0.36 o/oo  St. Lucie estuary,   Gunter and Hall
                  Florida              (1963)
   0-1.0 o/oo   Mobile Bay, Ala.     Loesch  (In Gunter
                                       et al., 1964)
   0-2.0 o/oo   Choctawhatchee Bay,  Nimmo  (unpubl.
                  Florida              data)
   69 o/oo      Laguna Madre, Texas  Simmons  (1957)
     Gunter, Christmas, and Killebrew  (1964)  found
that in Texas bays young brown shrimp were most
abundant at 10  to 30 o/oo, with greater abundance
above 20 o/oo.  Zein-Eldin and Aldrich (1965) found
that postlarval brown shrimp withstood a wide range
of salinity-temperature combinations.
     It is evident that adult shrimp are osmoregula-
tors at all but extremes of salinity  (Fig.  2).
Williams  (1960) gives the isosmotic point of  shrimp
hemolymph at 26.5 o/oo  (788 mOs), as compared to our
calculation of  23.4 o/oo  (694 mOs) in control shrimp.
Nevertheless, there was no significant difference
between PCB-exposed and control shrimp (Table 6).
Obviously, a slight change in environmental osmotic
pressure would  not be critical to the osmoregulatory
ability of the  animals at isosmoticity, but was
critical in the dilute environment.  Therefore, the
salinities where the PCB exerted its greatest effect
in the laboratory  (as judged from mortality of shrimp)
were well within the range in which brown shrimp
occur in nature.
     Although there was no appreciable difference in
osmotic concentration between control and PCB-exposed
shrimp, there was significant difference in major
ions in the sera of PCB-exposed shrimp (Fig.  3).
                         439

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                D. R. NIMMO AND L. H. BANNER

McFarland and Lee  (1963) found that the point of con-
vergence of the total ions in the hemolymph of feral
shrimp to that of the environment was 27 o/oo
(800 mOs).   In our study, by extrapolation, conver-
gence occurred at 34 o/oo  (1000 mOs) in controls,
whereas in PCB-exposed shrimp showed no convergence
and total ions paralleled unity.
     In surveys conducted soon after the PCB was
first discovered in the Pensacola estuary, the distri-
bution of shrimp in relation to salinity seemed to be
related to the amount of the chemical in the animals
(Nimmo et al., 1971b).  Of three species captured,
brown shrimp had the highest whole-body residues
(14 ppm) although most samples were lower.  Seemingly,
a concentration of 14 ppm PCB in feral shrimp would
have been lethal if the animals were subjected to
salinity stress such as imposed by our experimental
procedure.  We have unpublished data that suggest
existence of a threshold in average whole-body con-
centration of PCB  (5.6 to 7.8 mg/kg) in pink shrimp
(P. duorarum) that would be lethal when superimposed
on salinity stress caused by our procedure.  However,
a recent survey of feral shrimp from the Penacola
estuary showed that young adult shrimp now have only
a fraction of PCB concentrations found in 1969/70
periods.  For example, a sample taken from Escambia
Bay in August 1973 had a whole-body concentration of
only 0.1 mg/kg.
     Future studies should include research on inter-
action of PCB and salinity on juvenile and postlarval
shrimp since chronic toxicity tests have shown that
these stages were more susceptible to the chemical
 (Nimmo et al., 197la).  In addition, studies by Dana
Beth Tyler-Schroeder, of the Gulf Breeze Laboratory,
have shown the susceptibility of larvae of grass
shrimp  (Palaemonetes pugio) to the PCBs, Aroclors ©
1016 and 1242, decreases with age  (personal communi-
cation) .  Also, the  "in vivo" effect of PCBs on
ATPase activity in shrimp should be fully investigated.
                         440

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        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS

ACKNOWLEDGMENT

     This work was supported by Contribution No. 198
of the Gulf Breeze Environmental Research Laboratory.


LITERATURE CITED

Black, V. S.  1957.  Excretion and osmoregulation.
     In:  Physiology of Fishes, pp. 163-99, ed. by
     M. E. Brown.  New York:  Academic Press.
Cutkomp, L. K., H. H. Yap, D. Desaiah, and R. B. Koch.
     1972.  The sensitivity of fish ATPases to poly-
     chlorinated biphenyls.  Environ. Health Perspect.
     1:165-68.
Davis, P. W., J. M. Friedhoff, and G. A. Wedemeyer.
     1972.  Organochlorine insecticide, herbicide and
     polychlorinated biphenyl  (PCB) inhibition of Na,
     K—ATPase in rainbow trout.  Bull. Environ.
     Contam. Toxicol. 8:69-72.
	 and G. A. Wedemeyer.  197la.  Inhibition
     by organochlorine pesticides of Na+, K4"—
     activated adenosine triphosphatase activity in
     the brain of rainbow trout.  Proc. West.
     Pharmacol. Soc. 14:47.
	 and 	     .  197 Ib.  Na+, K+—activated
     ATPase inhibition in rainbow trout:  a site for
     organochlorine pesticide toxicity.  Comp.
     Biochem. Physlol. 40B:823-27.
Duke, T. W., J. I. Lowe, and A. J. Wilson, Jr.  1970.
     A polychlorinated biphenyl (Aroclor 1254 ®)
     in the water, sediment, and biota of Escambia
     Bay, Florida.  Bull. Environ. Contain, and
     Toxicol. 5:171-80.
Eisler, R. and P. H. Edmunds.  1966.  Effects of
     endrin on blood and tissue chemistry of a marine
     fish.  Trans. -flm. Fish. Soc. 95:153-59.
Grant, B. F. and P. M. Mehrle.  1970.  Chronic endrin
     poisoning in goldfish, Carassius auratus.
     J. Fish. Res. Bd. Canada 27:2225-32.
                         441

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                D. R. NIMMO AND L. H. BAHNER


Gunter, G., J. Y« Christmas, and R. Killebrew.  1964.
     Some relations of salinity to population distri-
     butions of motile estuarine organisms, with
     special reference to penaeid shrimp.  Ecology 45:
     181-85.
	 and G. E. Hall.  1963.  Biological inves-
     tigations of the St. Lucie estuary  (Florida) in
     connection with Lake Okeechobee discharges
     through the St. Lucie  canal.  Gulf Res. Rep. 1:
     189-307.
Hayashi, M. and M. Matsumura.   1967.   Insecticide
     mode of action:  effect of dieldrin on ion
     movement in the nervous system of Periplaneta
     americana and Blatella germanica  cockroaches.
     J. Agric. Food Chem. 15:622-27-
Keffler, L. R.   1972.  A study  of the  influence of
     calcium  on  the effects of  DDT on  fishes.  Ph.D.
     dissertation, The University of Mississippi,
     University, Mississippi.
Kinter, W.  B., L. S. Merkens, R. H. Janicki,  and
     A. M.  Guarino.  1972.  Studies on the mechanism
     of toxicity of DDT  and polychlorinated biphenyls
      (PCBs):  disruption of osmoregulation in marine
      fish.  Environ. Health Perspect.  1:169-73.
Matsumura,  F. and T. Narahashi.  1971.  ATPase
      inhibition  and electrophysiological  change
      caused by DDT  and related  neuroactive agents
      in  lobster  nerve.   Biochem. Pharmacol. 20:825-37,
 McFarland,  W. N.  and B.  D.  Lee.  1963.  Osmotic  and
      ionic concentrations  of  penaeidean  shrimps  of
      the  Texas  coast.  Bull.  Mar. Sci. Gulf Caribb.
      13:391-417.
 Nimmo, D.  R.  and R. R. Blackman.   1972.   Effects of
      DDT  on cations  in the hepatopancreas of  penaeid
      shrimp.   Trans. .Am.  Fish.  Soc.  101:547-49.
 	, 	,  A.  J. Wilson,  Jr., and
      J.  Forester.   1971a.   Toxicity  and  distribution
      of Aroclor ® 1254  in the pink shrimp, Penaeus
      duorarum.   Mar.  Biol.  11:191-97.
                          442

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        POLLUTION AND PHYSIOLOGY OF MARINE ORGANISMS
          , P. D. Wilson, R. BlacJanan, and A. J.
     Wilson, Jr.  1971b.  Polychlorinated biphenyl
     absorbed from sediments by fiddler crabs and
     pink shrimp.  Nature (London) 232:50-52.
O'Hara, J.  1973.  The influence of temperature and
     salinity on the toxicity of cadmium to the
     fiddler crab, Uca pugilator.  U. S. Fish. Wildl.
     Serv. Fish. Bull. 72:149-53.
Pfeiler, E. and L. B. Kirschner.  1972.  Studies on
     gill ATPase of rainbow trout (Salmo gairdneri).
     Biochim. Biophys. Acta 282:301-10.
Silbergeld, E. K/  1973.  Dieldrin:  effects of
     chronic sublethal exposure on adaptation to
     thermal stress in freshwater fish.  Environ.
     Sci. Technol. 7:846-49.
Simmons, E. G.  1957.  An ecological survey of the
     upper Laguna Madre of Texas.  Publ. Inst. Mai.
     Sci., Univ. Tex. 4:156-200.
Tanaka, R., T. Sakamoto, and Y. Sakamoto.  1971.
     Mechanism of lipid activation of Na, K, Mg—-
     activated adenosine triphosphatase and K, Mg—
     activated phosphatase of bovine cerebral cortex.
     J. Membrane. Biol. 4:42-51.
Vernberg, W. B. and J. Vernberg.  1972.  The synerges-
     tic effects of temperature, salinity and mercury
     on survival and metabolism of the adult fiddler
     crab, Uca pugilator.  U. S. Fish. Wildl. Serv.
     Fish. Bull. 70:415-20.
Williams, A. B.  1960.  The influence of temperature
     on osmotic regulation in two species of estuarin<
     shrimps  (Penaeus).  Biol. Bull.  (Woods Hole) 117
     560-71.
Yap, H. H., D. Desaiah, L. K. Cutkomp, and R. B. Koch
     1971.  Sensitivity of fish ATPases to poly-
     chlorinated biphenyls.  Nature  (London) 233:
     61-62.
Zein-Eldrin, Z. P. and D. V. Aldrich.  1965.  Growth
     and survival of postlarval Penaeus aztecus under
     controlled conditions of temperature and
     salinity.  Bio2. Bu22.  (Woods Hole) 229:199-216.
                         443

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CONTRIBUTION NO. 200

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                          (22)
     A Salinity Controller for Flowing-Water
                     Bioassays 1

                 LOWELL H. BAHNER
        U. S. Environmental Protection Agency
   Gulf Breeze Environmental  Research Laboratory

  Salinity and temperature are rate  determining factors
for many  physiological  functions  and  these  variables
affect the  toxicity  of several  pesticides to  marine or-
ganisms.  Because  some  compounds that alter or inter-
fere   with   osmoregulatory  mechanisms  in  estuarine
organisms  appear more toxic  as salinity changes, it  is
often desirable in estuarine  bioassays (flow-through) to
adjust  salinity  to a constant level.
  A salinity  controller consisting of a sea-water hydro-
meter, photocell  detector, and a relay controlled  by an
electronic amplifier has  been  developed  that  monitors
and  adjusts  salinity  continuously  in flow-through  sys-
tems.   The  controller  regulates  electrical  pumps  or
valves  to adjust  salinity within ±1%  of the desired
level, and with minor modifications, can  control tempera-
ture, water height,  or  light intensity.
  1 Contribution  No.  200,  Gulf Breeze Environmental
Research Laboratory.
           Reprinted from The ASB Bulletin,
           Vol. 21, No. 2, April 1974, p. 37.

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CONTRIBUTION NO. 201

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From:  Abstracts of the Annual Meeting American Society for Microbiology.
       1973
P256  Degradation of Malathion by Estuarine Microbes.  Al W. Bourquin*
      and Gary H. Cook.  U.S. Environmental Protection Agency, Gulf
      Breeze Environmental Research Laboratory, Gulf Breeze, Florida 32561

  Pathways for the biological degradation of malathion were characterized
using estuarine bacteria.  Some correlation with microbial marshland
ecosystems was attempted.  Bacteria were isolated from estuarine muds
previously untreated with malathion.  Three strains were selected which
metabolized malathion in Zobell's 2216 marine medium.  None of the organisms
used malathion as a sole carbon source.  Early enzymatic hydrolysis products
were identified as the mono- and di-carboxylic acid derivatives of malathion.
Further microbial degradation products were characterized (including -^C02
liberated from the methoxy side chain) using l^C-labelled malathion.  Inves-
tigations into the possible effects of light, temperature, pH, and salinity
on degradation of malathion were analyzed as a check on the biological system.
Degradation products were characterized in the same manner as the biological
samples.  Chemical degradation of malathion increased rapidly with salinity
with an accumulation of the mono-carboxylic acid derivative.
  Correlation of the microbial, chemical, and physical degradations of
malathion as it occurs in the environment was attempted using artificial
microcosms.
Gulf Breeze Contribution No.201

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CONTRIBUTION NO. 202

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                           Effects of Pesticides on Protozoa
                          Effets des Pesticides sur Protistes
    NELSON R. COOLEY (U. S. Environmental Protection Agency, Gulf Breeze Environ-
    mental Research Laboratory, Sabine Island, Gulf Breeze, Florida 32561, U. S. A
    [Associate Laboratory, National Environmental Research Center, Corvallis,
    Oregon])	

       Little is known about effects of pesticides and related compounds on proto-
    zoa.  Most studies have been performed on phytoflagellates, only a few on
    ciliates.  Ciliates are the most numerous animals in the estuarine benthos and
    function as food for higher organisms and are important as regenerators of
    nitrogen and phosphorus.  Because of the importance of ciliates in estuarine
    ecosystems and because estuaries often act as sinks for pesticides, my co-
    workers and I have performed studies on effects of pesticides and polychlori-
    nated biphenyls on these animals.

       Tetrahymena pyriforrois W is sensitive to toxicants we have tested.  The
    ciliates accumulated and concentrated the toxicants from the medium.  Signifi-
    cant reduction in population growth rate and 96-hour population density
    occurred at low toxicant concentrations:
Toxicant
Growth Rate
reduction
96-hr, population
density reduction
Accumulation
(X initial
concentration)
    Mirex

    Aroclor 1248

    Aroclor 1254

    Aroclor 1260
33% at 0.9 yg/£

18.9% at 1 mg/£

 8% at 1 yg/fc

19.1 to 25% at
12% at 0.9 yg/J>

9.6% at 1 mg/4

10% at 1
13.6 to 22.4%
   at 1 mg/fc
193 X

 48 X

 60 X

 79 X
    However, exploratory experiments suggest that ^T. pyriformis may be less
    sensitive to malathion than to these chemicals.

       The data suggest that pesticides and related toxicants that enter aquatic
    ecosystems could reduce the availability of ciliates as food and as nutrient
    regenerators, thereby disrupting nutrient cycles and perhaps altering species
    composition of ciliate communities.  The ability of responsive ciliates to
    accumulate persistent compounds could permit translocation of the chemicals
    through food chains.  In this manner, effects of the chemicals could be
    exerted at higher trophic levels.
Reprinted from Progress in Protozoology (Abstracts of papers read at
               the Fourth International Congress of Protozoology,
               Clermont-Ferrand, France, 2-9 September 1973), p. 91.

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CONTRIBUTION NO. 203

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In:  proceedings of the First Microbiology
Seminar on Standardization of Methods.
March, 1974, EPA-R4-73-022, Environmental Monitoring Series. Washington, D.  C.: U. S.

                    IMPACT OF MICROBIAL SEED CULTURES ON  G°vt' Dinting Qffj
                          THE AQUATIC ENVIRONMENT*

                             Al W. Bourquin**


            The tremendous use of oil for energy in the United
        States  has caused rapid increase in oil imports on large
        cargo carriers.   These large tankers, with capacities
        equal to or greater than 100,000 dead-weight tons capacity,
        and  increased shipping, has enhanced greatly the danger
        of major oil spills.   With the impending danger o± cata-
        strophic spills,  technology of clean-up is extremely
        limited.   Present clean-up methods include adsorption
        and  recovery,  chemical dispersion, and physical removal.
        Each^technique has limitations due to quantity and type
        of oil  spilled,  extent of the slick, and nature of the
        environment where the spill occurred or where the slick
        floated.   Some authors believe no efficient and safe method
        exists  for clean-up of a spill in shallow estuaries (1,2) .

            Extensive research is being conducted for the purpose
        of^increasing microbial oil degradation by seeding oil
        slicks  with hydrocarbonoclastic microorganisms.   It may
        be possible that  large quantities of selected microorganisms,
        under proper environmental conditions,  could hasten degra-
        dation  and ultimate removal of pollutant hydrocarbons (1).

            The need for  standardization of testing procedures for
        commercially available microbial formulations was pointed
        out  at  a recent  international workshop  held in Atlanta,
        Georgia.   Papers  were presented to show that at  least two
        commercial products are completely ineffective or have
        very  little hydrocarbonoclastic activity—below  that of
        natural seawater  (3).   Other evidence,  presented by EPA
        representatives,  demonstrated that at least one  commercial
        formulation contained at least four species of pathogenic
       microorganisms (4).

           A panel,  "Environmental Considerations in Microbial
       Degradation of Oil",  at the Atlanta workshop recommended
       that a  committee  be formed to study the problems of
       effective  and  safe  use of microbial seed cultures in the
       environment.   The committee should be composed of members
       of a governmental agency,  members  of API—representing the
       petroleum  industry, and members  of the  academic  community
       who are active in oil  pollution research (5).
       *  Submitted  in writing for the record.
       ** Gulf  Breeze Environmental Research Laboratory,  Associate
          Laboratory of  NERC-Corvallis
                                    140

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    Microbial seed cultures are currently being studied
for application to the environment as microbiological
pesticides.   Viruses have been isolated which attack
selectively the cabbage boll;  a bacterium has been
isolated as  a specific pathogen of mosquitoes; and
chitinoclastic bacteria have been proposed as agents
against plant predators in estuarine areas.  The range
of impact on the aquatic environment by seed cultures
must be investigated adequately before they are used
on a large scale.
                            141

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CONTRIBUTION NO. 204

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             PROCEEDINGS

                 OF

       SEMINAR ON METHODOLOGY

                 FOR

  MONITORING THE MARINE ENVIRONMENT



         SEATTLE WASHINGTON

            OCTOBER 1973
     Program Element No. 1HA326
        ROAP/Task - PEMP/2
            SPONSORED  BY

    OFFICE OF MONITORING SYSTEMS

U.S. ENVIRONMENTAL PROTECTION AGENCY

       WASHINGTON, D.C.  20460

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            METHODS AND PROBLEMS  IN ANALYSIS OF PESTICIDES
                      IN THE ESTUARINE ENVIRONMENT
                   A. J. Wilson, Jr. and J. Forester
            Gulf Breeze Environmental Research Laboratory,
                         Gulf Breeze, Florida
     The presence of pesticides in the marine environment has been well
documented.  Cox  (4) reported DDT concentrations in sea water along the
Pacific Coast to range from 0.0023 parts per billion  (microgram/liter)
off Oregon and Washington  to 0.0056 parts per billion off Southern
California.  Residues of DDT and dieldrin were detected in livers of
fishes by Duke and Wilson  (6) from the Northeastern Pacific Ocean and in
gray whales by Wolman and  Wilson (16). Other documentation of chlo-
rinated hydrocarbons in the marine environment is presented by Goldberg
etal. (7).

     The Gulf Breeze Environmental Research Laboratory at Gulf Breeze,
Florida, an associate laboratory of the National Environmental Research
Center, Corvallis, Oregon, has been conducting research on the effects
of pesticides in the marine environment since 1958.  Since that time the
laboratory has analyzed over twenty thousand samples for these pol-
lutants in water, sediment, oysters,  crabs, fish, birds and mammals.
From 1965 until 1972 this  facility analyzed over eight thousand samples
for the National Pesticide Monitoring Program as reported by Butler (3).
This report describes analytical methods employed by this Program, some
recent studies in water analysis, and the need for adequate analytical
quality control in marine  monitoring.
                 NATIONAL PESTICIDE MONITORING PROGRAM

     From studies at Gulf Breeze, bivalve mollusks appeared to be suitable
animals to use as indicators of estuarine pollution.  Adult bivalve
mollusks are sessile, permitting repeated sampling of the same population.
In addition, experiments by Butler (2) indicated that bivalve mollusks
readily accumulate chlorinated hydrocarbons.  Consequently, oysters,
mussels and clams were the primary indicator organisms in this program.
                                  108

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     Mollusks were collected at about 30-day intervals at 183 estuarine
sites in 15 coastal states.  Approximately 15 individuals were taken
from each station by other agencies, prepared in their laboratories, and
shipped to Gulf Breeze for analyses.  The rationale for all analyses
being conducted at Gulf Breeze was based on the premise that these
methods of analyses would be consistent from station to station and
month to month.  This would eliminate variation in methodology and
permit a more reliable interpretation of seasonal and geographic trends.
In addition, it was not economically feasible at the outset to equip
several satellite laboratories and conduct a suitable inter-laboratory
quality control program.

     Prior to the start of the program several preservatives were
evaluated to find a method that would allow shipment of samples
without dry ice.  When samples were dehydrated by mixing them with a 9:1
mixture of anhydrous sodium sulfate and Quso, a micro fine silica, they
could be held at room temperature for up to 15 days without loss or
degradation of the chlorinated hydrocarbon.  This procedure allowed
shipment of samples in aluminum foil by surface mail from the collect-
ing  laboratory to the Gulf Breeze Laboratory.

Analytical Procedures

     Mollusks were analyzed for aldrin, chlordane, o,p' and p,p' isomers
of DDT and its metabolites, dieldrin, endrin, heptachlor, heptachlor
epoxide, lindane, methoxychlor, mirex, and toxaphene.

Sample Preparation

     The tissues of 15 individuals were shucked into a one-pint Mason
jar  and thoroughly homogenized with an Osterizer blender.  Approximately
30 g of the homogenate was added to a second Mason jar and blended with
a 9:1 mixture of sodium sulfate and Quso.  By alternately chilling and
blending, a free-flowing powder was obtained.  The blended sample was
wrapped in aluminum foil and shipped to Gulf Breeze.  Upon receipt of
the  sample, it was weighed and extracted in a Soxhlet apparatus for 4
hours with petroleum ether.

Sample Clean-Up

     The extracts were then purified by concentrating and transferring
the  extract to 250 ml separatory funnels.  The extracts were diluted to
25 ml with petroleum ether and partitioned with two 50 ml portions
                                    109

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DDE
DDD
DDT
             PERCENTAGE RECOVERY OF PESTICIDES
               FROM FORTIFIED OYSTER SAMPLES

:IDE













ACTUAL (PPM)
0.033
0.033
0.34
0.34
0.067
0.067
0.70
0.70
0.10
0.10
1.0
1.0

FOUND (PPM)
0.026
0.026
0.30
0.29
0.061
0.064
0.67
0.63
0.087
0.094
0.95
0.92

% RECOVERY
79
79
08
05
91
96
96
90
87
94
95
92

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of acetonitrile previously saturated with petroleum ether.  The acetoni-
trile was evaporated to dryness and the residue eluted from a Florisil
column, Mills et al. (11).  In this technique, increasing proportions of
ethyl ether to petroleum  ether were used to elute fractions containing
increasingly polar insecticides.

Quantitation and Qualitation

     The extracts were analyzed with Varian Aerograph electron capture
gas chromatographs.  Extracts were injected into at least two 180 cm x 2
mm (ID) columns of different liquid phases.  The following columns have
been used:  DC-200, QF-1, DECS, OV-101, mixed DC-200/QF-1, and mixed 0V-
101/OV-17.  Liquid phases and gas chromatographic parameters were adjusted
so that p,p' DDT would elute in approximately 12 minutes. The lower
limit of detection for a  30 g mollusc sample was 0.010 parts per million
(milligrams per kilogram).  Residues were reported on a wet weight basis
without adjustment for recovery rates.  Thin layer chromatography and
"p" values after Bowman and Beroza (1) were used for additional confirmation
of compound identity.

     Extraction efficiencies were determined by re-extracting samples
for longer periods of time and with different solvent systems.  Recovery
rates were determined by  fortification of samples with known levels of
pesticides.  Table 1 shows typical recovery rates of DDT and its metab-
olites from fortified oyster samples.  The values were adjusted to
account for naturally-occurring DDT residues.

                          SEA WATER ANALYSIS

     Prior to 1971, the Gulf Breeze Laboratory belonged to the Bureau of
Commercial Fisheries, United States Department of Interior.  During
those early days, there was little known regarding the effects and
kinetics of pesticides in the marine environment.  Consequently, in
addition to scientific publications, the laboratory frequently published
quarterly and annual progress reports containing provisional or pre-
liminary data.

     In 1968 the author submitted the following report for inclusion in
a Progress Report of the  Bureau of Commercial Fisheries (15).

                      STABILITY OF PESTICIDES IN
                               SEA WATER
               We began preliminary studies to determine the
          stability of pesticides in sea water.  Three p.p.b.
          of aldrin, p,p'-DDT, malathion, and parathion in
          acetone were added separately to four clear glass,
                                    111

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          one-gallon  bottles  containing sea  water  (salinity
          29.8  p.p.t.;  pH 8.1).   One chemical per  bottle.
          After an initial sample of the water was analyzed,
          the bottles were sealed and completely immersed
          in an outdoor flowing  sea-water tank.  Table 5
          shows the concentration of the chemical at the
          indicated time interval.

               Although we used  natural sea  water in these
          preliminary experiments, the tests will be
          repeated with sterile  artificial sea water so that
          the relative  stability of the pesticides can be
          evaluated under standardized experimental conditions.

     Because these studies showed a rapid loss of DDT in sea water, the
report received a great deal  of  attention.  As stated, these were
preliminary studies but, unfortunately, many readers carried the data
beyond the scope of the experiment.  Obviously, additional studies were
required to account for the rapid decline of these pesticides before any
conclusions could be  made.

     Since these studies were conducted, several investigators have
reported on the transport of  pesticides in marine waters.  Cox  (4)
reported that adsorption of DDT  is implicated in the uptake mechanism
for algal cells.  His experiments also indicate that particles less
than l-2y diameter carry most of the DDT residues in whole water.
Working in the laboratory with six species of marine algae, Rice and
Sikka (13) found that all species concentrated DDT to levels many times
higher than the original concentration of the medium.  Transformation of
DDT and cyclodiene insecticide took place in surface films, plankton,
and algae but not in water from the open ocean according to Patil et
al. (12).

     Recently,  experiments have been conducted to determine the cause of
loss of DDT in the 1968 studies at Gulf Breeze.  The experiments were
repeated under similar conditions with the exception that duplicate
samples were analyzed.   In 1968 the salinity was 29.8 ppt  (parts per
thousand) and  the incubation temperature averaged 29 C; in 1973, the
salinity was 24.0 ppt and the incubation temperature averaged  12 C.
Figure 1 shows the percentage recovery of DDT  (including DDE and ODD)
during the two experiments.  The results are similar except for the 17
day 1968 analysis.
                                  112

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   Taolo 5-—'-Stability of pesticides in natural sea water
               (salinity 29.3 p.p.t.; pH 8.1)

Pesticide

M
H
uj
1
•D.t)'~DDT. ....

pjpf~DDE#. .
•n *n * «*• nnryjf .
I J e \J ^^ \J\JlJ'* 1 •
-i. «/ ^<
^\ | \ \ 1^ 1 II * > ** 9 t tf 41 df
Dieldrin^. .
Ilalathion. . . .
Parathion* « • .
Days after start of erperii'nent


0 6
P.p/b. P.p.b.
2.9 ,75
.096

2.6 .58
.74
3.0 <0.2
2.9 1.9


17
P.p.b.
1.0
.95
.081
.096
1.0
<0.2
1.25


24
P.p.b.
.27
.065
.041
<0.01
1.0
^
1.0


31
P.p.b.
.13
.034
.038
<0.01
.75
.—
.71


38
P»p-b*
-16
.037
-037
<0.01
.56
^
,37
  >4fetabolites of parent compound.
 •w-w-Frorn the seventeenth day onward, 2 unidentified peaks ap-
peared on the chromatographic charts after aldrin had eluted.

-------
     Experiments were then performed to determine if DDT was adsorbed to
the walls of the test containers.  Additional experiments were designed
to determine if DDT was converted to DDA, a water soluble metabolite of
DDT, which would no.; have been detected by the method of analyses used
in the initial study.  These experiments showed that less than 1% of the
DDT was adsorbed to the walls of the glass bottles and furthermore that
there was no conversion to DDA.

     Since petroleum ether was the solvent used for extracting the DDT
from sea water, the following studies were initiated to evaluate the
extraction efficiencies of other solvent systems.  Duplicate one-gallon
bottles of clear glass, containing 3.5 liters of sea water or distilled
water, were fortified with 10.5 yg of p,p' DDT in 350 y£ of acetone to
yield a concentration of 3.0 ppb.  Duplicate 500 ml samples were taken
from each bottle and extracted with one of the following solvents:
three 50 ml portions of petroleum ether, two 50 ml portions of 15% ethyl
ether in hexane followed by one 50 ml portion of hexane, or three 50 ml
portions of methylene chloride.  All solvents were dried with sodium
sulfate, concentrated to an appropriate volume and analyzed by electron
capture gas chromatography.  Just prior to extraction, all samples were
fortified with o,p'DDE to evaluate the integrity of the analyses.  The
recovery rate of o,p'DDE in all tests was greater than 89%, indicating
no significant loss during analyses.

     After initial sampling, the bottles were sealed and incubated at 20
C under controlled light conditions (12 hours light, 12 hours dark).
Duplicate samples of 500 ml were extracted at various time intervals.

     Tables 2-5 show the average percentage recovery of p,p'DDT extracted
from duplicate sea water or distilled water samples up to 14 days after
initiation of the experiment.  p,p'DDE was the only metabolite measured,
and since it never exceeded 2% of the parent compound it is not included
in the percentage recoveries.  The sea water was collected adjacent to
the Gulf Breeze Laboratory in Santa Rosa Sound and the salinity ranged
from 16 ppt to 21 ppt.

     Table 2 shows that immediately after the sea water (21 ppt) was
fortified with 3.0 ppb of DDT all solvent systems removed 93% of the
DDT. After six days of incubation this level of recovery was not observed
with any of the solvents tested.  However, methylene chloride was more
efficient than petroleum ether or 15% ethyl ether in hexane.  Part of
this experiment was repeated with sea water (16 ppt) and incubated for 4
days with similar results  (Table 3).
                                  114

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METAIitOLIYES  IK1 1960-1973
Percentage Recovery of DDT and Metabolites in 1968 and 1973

-------
                           TABLE 2
      PERCENTAGE RECOVERY  OF P,P'  DDT FROM SEA WATER
             BY DIFFERENT  EXTRACTION"SOLVENTS
      J- -***•-*• •*'- *-•«•-*• • J-*>
DAY
 0
                           EXTRACTION SOLVENT
PETROLEUM
  ETHER
    93
            67
15% ETHYL ETHER
  IN HEXANE
      93
                         66
                                       lUill d ii IH"I»T1
METHYLKNE
CHLORIDE
    93
                            76

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                          TABLE 3

      PERCENTAGE RECOVERY OF P,PV DDT FROM SEA WATER
         BY PETROLEUM ETHER AND METHYLENE CHLORIDE
BAY
PETROLEUM ETHER
 0
       90
                   67
METffZLEHE CHLORIDE
         95
                                       85

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                           TABLE 4


     PERCENTAGE RECOVERY OF P,PT DDT FROM SEA WATER AND

  DISTILLED WATER BY PETROLEUM ETHER AND METHYLENE CHLORIDE
I
M
M
CO
I

DAY

0
7
14

SEA WATER
PETROLEUM
ETHER
90
58
46

METHYLENE
CHLORIDE
94
78
68
DISTILLED WATER
PETROLEUM
ETHER
90
90
94
	 L. .
METHYLEi;
CHLORIDl
91
91
92


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                           TABLE 5
        PERCENTAGE RECOVERY OF PSP'DDT FROM SEA WATER
 INCUBATED UNDER DIFFERENT LIGHT AND TEMPEDATUM CONDITIONS
 DAY
  12 HOUR LIGHT AND
12 HOUR DARK AT 20 C
DARK AT 5 C
vC
1
          87
  7
          69
 14
          68
      81
      86

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     An experiment was performed with sea water (21 ppt) and distilled
water using petroleum ether and methylene chloride.  Table 4 shows
that immediately after fortification recoveries were greater than
90% for water and solvents.

     After 14 days, similar recoveries were observed only in distilled
water.  In sea water however, there was 49% and 28% reduction in
recovery with petroleum ether and methylene chloride respectively.
Since distilled water is devoid of particulate matter, this study
suggests that DDT may be absorbed or adsorbed to plankton or par-
ticulate matter in sea water and the sorbed material was not removed
resulting in low recoveries of DDT.  This would explain the initially
high extraction efficiency of DDT followed by the decline in recovery
as DDT was associated with the particulate phase.  Since methylene
chloride was the most polar solvent used, it would have a greater
affinity for removing the sorbed DDT.

     In another test, duplicate bottles containing sea water (20 ppt)
and DDT were incubated under controlled lighting conditions at 20 C
and another set incubated at 5 C without light.  Both were extracted
with methylene chloride at various time intervals.  Table 5 shows
low recovery at 14 days under controlled lighting condition.  However,
those samples incubated at 5 C in total darkness did not show a
significant decrease in recovery rate.  Since the metabolic activity
of plankton was probably inhibited under these temperatures and light-
ing conditions, these results suggest that DDT may be absorbed rather
than adsorbed by plankton.  However, Rice and Sikka (13) comparing
the uptake of DDT by living and dead algae found that cells accumulated
equal amounts of the pesticide.

     Interaction of pesticides between water and particulate matter
are complex.  Not only do light and temperature appear to alter
equilibria, but other physical and chemical factors have effects.
Evaluating liquid-liquid extraction techniques of herbicides from
river water, Suffet (14) observed that the isopropyl ester of 2,4-D
was adsorbed to particulate matter in river water and that the amount
changed by alteration of the pH of the water.  Huang and Liao (10)
found that adsorption of DDT to clays was rapid but the amount differed
with the type of clay.  A mixed culture of algae consisting mainly of
Vauchenia had a greater adsorption for DDT than bentonlte according to
Hill and McCarty (9).  Cox (5) reported that in natural marine pop-
ulations virtually all of the DDT available for uptake was Incor-
porated onto phytoplankton, but this may only account for 10% of the
DDT residues recoverable from whole sea water.
                                  120

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     These experiments support the work of other investigators in
that DDT and other pesticides are extremely hydrophobic and can
easily be adsorbed or absorbed by suspended matter from liquid
solutions.  The 1968 experiments at Gulf Breeze supports the concept
that physical or chemical transformations of pesticides altered the
extraction efficiences of the solvent and prevented complete recovery
of the compounds.  Obviously, additional work needs to be done to
account for all of the chemical added to the test system.

     It is difficult to relate laboratory findings directly to that
of the estuary or open oceans.  However, the laboratory data illustrate
clearly some problems that could be encountered in monitoring sea water
for pesticide pollution.  The conventional analyses of water samples
by liquid-liquid extraction techniques may provide Invalid data if
suspended matter is not considered.  Standardized methods are needed
to analyze the water column and suspended material separately.

     Recently, a synthetic resin, Amberlite XAD-2 was evaluated as an
adsorption medium for chlorinated hydrocarbons dissolved in sea water
by Harvey (8).  This technique utilizes large volumes of sea water and
therefore permits greater sensitivity in analysis.  In addition, the
method eliminates the problems encountered in transport of large samples
of water.  Pollutants could be adsorbed on the resin at the sampling
site and shipped to the appropriate analytical laboratory for desorption.
Since the resin only removes the dissolved portion, additional samplings
would be required to determine the levels absorbed or adsorbed to
particulate matter.

                      ANALYTICAL QUALITY CONTROL
     All pesticide residue laboratories should maintain an adequate
analytical quality control program.  The program should include both
an intra-laboratory performance evaluation of personnel and method-
ology and an inter-laboratory sample exchange program.  These programs
are time consuming but are essential to the generation of valid analyt-
ical data.

     Table 1 shows the recovery rates of oyster samples fortified
with known concentrations of pesticides.  Fortification techniques
provide data only on the recovery efficiency of the total analytical
procedure end not on the extraction step.  Field residues may be
subject to physical and chemical transformation and therefore may
not be in the same physical or chemical state as the fortified sample.
Table 2 illustrates the errors that can result from fortified samples.
Extraction of water samples Immediately after fortification yields
                                   121

-------
relatively high recovery efficiency with all solvent systems in sea
water.  Analyses  several days later show the relative inefficiencies
of the  solvents systems used in sea water.  Regardless of the analyt-
ical method used  or the substrate being extracted, recovery data must
be obtained on the extraction efficiency and the total analytical pro-
cedure.

     There are several other factors in residue laboratories which,
if ignored, may lead to inaccurate data.  To name a few:  (a) all
glassware must be clean and free of residues;  (b) the purity of all
reagents used during analyses must be determined; (c) the accuracy of
analytical standards must be maintained; (d) the condition of all com-
ponents of the gas chromatograph must be optimized; and  (e) laboratory
personnel should be thoroughly trained.

     An area that needs further study is the use of internal standards
in marine pesticide monitoring.  Currently, the Gulf Breeze Laboratory
is no longer affiliated with a large monitoring program.  Almost all
samples submitted for analysis are of known identity.  Most of these
samples are fortified with an internal standard, just prior to analysis.
The standard is usually a compound which behaves in an analytically
similar way to the compound of interest.  This technique is valuable in
assessing the validity of the analysis.  This same technique could also
be applied to marine monitoring samples if an appropriate compound could
be found that would not interfere with the monitored pesticides.  It
would be extremely valuable in laboratories with large sample volumes
where close supervision of laboratory operations is not possible.

     The analysis of marine samples for chlorinated hydrocarbon pesti-
cides is at times complicated by the presence of polychlorinated
biphenyl compounds (PCB).  These compounds a.re industrial pollutants
and are produced  in the United States under the trade name Aroclor.
They have chromatograph retention times similar to the organochlorine
pesticides and therefore complicate the analysis when both are present
in a sample.  Several techniques have been described for the separation
of PCB from organochlorine pesticides.  A. review of these methods were
presented by Zitto and Choi (17).  These techniques are time consuming
and, in general,  semiquantitative.  In addition, differential absorption
or metabolism of  the Aroclor isotaers in marine biota prevent accurate
analysis of the PCB's.  la view of these facts aad the large number of
samples that could result from & global monitoring program, this are&
of analysis required further study and/or standardisation.

-------
                              REFERENCES

1.  Bowman, M. C. and M. Beroza, 1965.  Extraction p-Values of
         Pesticides and Related Compounds in Six Binary Solvent
         Systems.  J_. Assoc.  Agr. Chem. 48: 943-952.

2.  Butler, P. A., 1966.  Pesticides in the Marine Environment.
         J. Appl. Ecol. 3 (Suppl):  253-259.

3.  Butler, P. A., 1973.  Organochlorine Residues in Estuarine
         Mollusks 1965-1972 National Pesticide Monitoring Program.
         Pestic. Monit. J. 6:  238-362.

4.  Cox, J. L., 1971.  DDT Residues in Seawater and Particulate
         Matter in the California Current System.  U. _S_. Fish.
         Wildl. Serv. Fish. Bull. 69:  443-450.

5.  Cox, J. L., 1972.  DDT Residues in Marine Plankton.  Residue
         Reviews 44:  23-38.

6.  Duke, T. W. and A. J. Wilson, 1971.  Chlorinated Hydrocarbons
         in Livers of Fishes from the Northeastern Pacific Ocean.
         Pestic. Monit. .J. 5:  228-32.

7.  Goldberg, E. D., P. Butler, P. Miller, D. Menzel, R. Risebrough
         and L. Stickel, 1971.  Chlorinated Hydrocarbons in the Marine
         Environment.  National Academy of Sciences, Washington, D. C.

8.  Harvey, G. R., 1972.  Absorption of Chlorinated Hydrocarbons from
         Sea Water by a Crosslinked Polymer.  Woods Hole Oceanographic
         Institute, Woods Hole, Massachusetts.  Unpublished manuscript.

9.  Hill, D. W. and P. L. McCarty, 1967.  Anaerobic Degradation of
         Selected Chlorinated Hydrocarbon Pesticides.  -T. Water Pollut.
         Fed. 39:  1259-1277.

10. Huang, J. C. and C. S. Liao, 1969.  Absorption of Pesticides on
         Clay Minerals.  Presented at the 1969 Missouri Academy of
         Science Meeting, St. Louis, Missouri.  rtted in Proc. of '25th
         Ind. Waste Conf., Purdue Univ., Lafayette, Ind., 1970.

11. Mills, P. A., J. F. Onley and R. A. Gaither, 1963.  Rapid Method
         for Chlorinated Pesticide Residue in Non-Fatty Foods.  .J.
         Assoc. Agr. Chem. 46:  186-191.

12. Patil, K. C., F. Matsumura and G. M. Boush, 1972.  Metabolic
         Transformation of DDT, Dieldriu, Aldrin and Endrin by Marine
         Microorganisms.  Environ. Sci. Technol. 6:  629-632.

-------
13.  Rice, C. P. and H. Sikka, 1973.  Uptake and Metabolism of DDT
          by Six Species of Marine Algae.  :J. Agr. Food Chem.
          21:  148-152.

14.  Suffet, I. H., 1973.  The p-Value Approach to Quantitative Liquid-
          Liquid Extraction of Pesticides and Herbicides from Water.
          3. Liquid-Liquid Extraction of Phenoxy Acid Herbicides from
          Water.  J_. Agr. Food Chem. 21:  591-598.

15.  Wilson, A. J.t J. Forester and J. Knight, 1970.  Chemical Assays.
          1969 Prog. Rep., Center for Estuarine and Menhaden Research,
          Gulf Breeze, Fla.  U. J3. Fish Wildl. Serv. Circ. 335:  18-20.

16.  Woiman, A. A. and A. J. Wilson, 1970.  Occurrence of Pesticides
          in Whales.  Pestic. Monjt. J_. 4:  8-10.

17.  Zitko, V. and P. Choi, 1971.  PCB and Other Industrial Halogenated
          Hydrocarbons In the Environment.  Fish. Res. Board Can.
          Technical Report No. 272, Biological Station, St. Andrews,
          N. B.

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CONTRIBUTION NO. 207

-------
                         (16)
 Effects of Aroclor®  1254 on Laboratory-Reared
    Embryos and Fry of Cyprinodon variegtaus

       STEVEN  C. SCHIMMEL, DAVID J. HANSEN
               AND JERROLD FORESTER
        U.S. Environmental Protection Agency
    Gulf Breeze Environmental Research Laboratory

  Eggs of the  sheepshead minnow  (Cyprinodon varie-
gatus)  were artificially fertilized  (wet  method)  and
maintained at  15° to 30°C and  0 to 35 "/«, to deter-
mine efficient culture conditions.   Fertilization was not
affected within  the temperature or salinity ranges tested,
but hatching success was greatest (x2;  a = 0.01)  within
the 24° to 35°C range and 15 Voo to 30 Voo range.
  Artificially fertilized  sheepshead minnow  eggs were
exposed to logarithmic  series  of concentrations  of the
polychlorinated biphenyl (PCS),  Aroclor 1254,  (0.1 to
10  fig/1)  in  seawater averaging 30°C and 24 Voo in a
flow-through  bioassay.    Fertilization  was  not  affected,
but  significantly  fewer  embryos  developed  in  the  10
nS/\.   Fry were more susceptible  to this PCB than were
embryos, juveniles or adults. — ® Registered  trademark.
Monsanto Co.,  St. Louis, Mo.  Mention of commercial
product does not constitute endorsement by the Environ-
mental  Protection  Agency. — Contribution 207,  Gulf
Breeze Environmental Research Laboratory.
          Reprinted from The ASB Bulletin,
          Vol. 21,  No. 2, April 1974, p. 81.

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CONTRIBUTION NO. 208

-------
                                            EPA-660/3-74-013
                                            September 1974
THEORETICAL MODEL AND SOLUBILITY CHARACTERISTICS

           OF AROCLOR® 1254 IN WATER:

Problems Associated With Low-Solubility Compounds
            In Aquatic Toxicity Tests
                       by
                 W. Peter Schoor
  Gulf Breeze Environmental Research Laobratory
     National Environmental Research Center
           Gulf Breeze, Florida 32561
             Program Element 1EA077
             ROAP/Task No- 10AKC/18
     National Environmental Research Center
       Office of Research and Development
      U.S. Environmental Protection Agency
             Corvallis, Oregon 97330

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                               ABSTRACT







     A theoretical model of the behavior of substances having low water-




solubility is presented and discussed with respect to aqueous bioassay.




Ultracentrifugal techniques were used in an attempt to study size distribu-




tions of Aroclor 1254 aggregates in aqueous emulsions.  Results indicate




strong adsorption from emulsion by surfaces and a water-solubility at 20 C




of less than 0.1yg/£ in distilled water and approximately 40% of that value




in water containing 30 g/£ NaCl.  Implications with regard to aqueous bioassay




are discussed.




     This report was submitted in fulfillment of Program Element 1EA077,




ROAP/Task No. 10AKC/18 by the Gulf Breeze Environmental Research Laboratory




under the sponsorship of the Environmental Protection Agency.  Work was com-




pleted as of September, 1974.
                                      11

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                               CONTENTS







Sections                                                  Page




I         CONCLUSIONS                                      1




II        RECOMMENDATIONS                                  2




III       INTRODUCTION                                     3




IV        THEORY                                           5




V         MODEL                                           10




VI        EXPERIMENTS WITH AROCLOR 1254                   13




VII       RESULTS                                         15




VIII      DISCUSSION                                      27




IX        REFERENCES                                      30
                                   lii

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                                TABLES
No.

1.  Effect of storage time on amount of Aroclor 1254 remaining    17
    in the water phase.

2.  Isomer distribution of Aroclor 1254 type II emulsion after    18
    standing for various periods of time in 3£ glass bottle.

3.  Adsorption of Aroclor 1254 type II emulsion on Polyallomer    21
    centrifuge tubes on standing.

4.  Adsorption of Aroclor 1254 on stainless steel centrifuge      21
    tubes as a function of time and concentration.

5.  Adsorption of Aroclor 1254 on stainless steel centrifuge      24
    tubes.

6.  Centrifugation of Aroclor 1254 in water of varying salinities 24
    at 69,000 x g (max.).

7.  Distribution of isomers of Aroclor 1254 type II emulsion      25
    on standing in stainless steel centrifuge tubes.

8.  Distribution of isomers in the absorbed fraction of Aroclor   26
    1254 type III emulsion on standing in stainless steel
    centrifuge tubes.
                               IV

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                            ACKNOWLEDGMENTS







The author thanks Messrs. D. Lamb and W. Burgess for assistance with the




analytical work and Dr. Ralph Birdwhistell, Dean, School of Chemistry,




University of West Florida, for reviewing the manuscript.




AroclorB 1254 is a registered trademark of the Monsanto Company, St. Louis,




Missouri.

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                              Section I




                              CONCLUSIONS




     An extrapolation from the theory presented suggests that the use




of "carriers" be continued with caution, because of two independent




effects that may be present.  One effect can most simply be described




as an alteration of the aggregate-solvent interactions by "carriers"




forming transition-like links between aggregates and solvent molecules.




In such a fashion, solute aggregates are surrounded by "carrier"




molecules, thus enhancing the ability of the aggregate to remain in a




stable emulsion by permitting greater solute-solvent interaction.  This




can be illustrated graphically in Fig. 1 by enlarging region "B" over




a greater range of aggregate sizes since some aggregates previously




belonging to regions "A" and "C" now become more stabilized.  It may




also be visualized by flattening the two curves in Fig. 2,  thereby




extending their region of overlap.  Thus, when added with a "carrier",




more of an insoluble compound may be introduced into a stable water




emulsion.  The other effect may be due to possible interference with the




uptake of a test compound by an organism.  Any such uptake must by neces-




sity be preceded by an adsorption to a surface of the organism such as




the gills in a fish.  If at this time the "carrier" molecules, which are




located at the surface of the aggregate, affect the actual process of




adsorption in any way, there will be a resultant change in the rate of




transfer of the compound into the organism.  If the rate of uptake is




related to toxicity, there will be a concomitant change in toxicity.

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                              Section II




                            RECOMMENDATIONS




     This study shows, both theoretically and experimentally, that in




so far as physical interactions are concerned, emulsions differing in




degree of dispersion and stability can be formed, depending on the method




of preparation and subsequent treatment.  Consequently, the following




questions should be answered before conducting bioassays in disperse




aqueous systems:




     (a)  What are the solubility characteristics of the compound




          under investigation?




     (b)  To what extent are these characteristics related to




          field conditions?




     (c)  How can the solubility characteristics and field




          conditions be best simulated in the laboratory?




Such information would undoubtably result in more precise data on acute




toxicity as well as long-term effects regarding aqueous bioassay of




water-insoluble test compounds.

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                              Section  III




                             INTRODUCTION




     Laboratory experiments designed to determine the effects of




chemicals on aquatic organisms require that the tests be conducted




under conditions which reproduce those present in nature as closely




as possible.  In order to accomplish this in a precise and scientific




fashion, the physical state of a compound in an aqueous dispersion




must be known.  Convenience, time and other factors have in the past




often led to the use of techniques in the laboratory which do not take




into consideration that the solubility characteristics of a compound




may possibly affect the toxicity, necessitating extrapolation from an




apparent toxicity established in the laboratory to an expected toxicity




under field conditions.  In many instances, the practice of using extra-




polation in scientific investigations is necessary and has proven to be




a valuable tool when certain conditions cannot be met.  However, the




range through which the extrapolation is carried out must be chosen




with great care, because without sufficient experimental and theoretical




justification, a resulting extrapolation in this light may well prove to




be unrealistic.  Since natural water conditions represent a multi-




component system, any attempt to quantitatively understand it must be




preceded by a study of the system under ideal conditions.  While the




knowledge thus gained may or may not be of consequence in direct appli-




cation, it, nevertheless, provides a more precise scientific basis for




choosing valid limits for extrapolation.




     The physical state of a compound in water is not a simple and




straightforward phenomenon, even given the idealized conditions of a

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two-component system - a single solute and a single solvent.  A




definable system should, however, be the starting point of any




investigation aimed to scientifically arrive at data which lead to




a quantitative understanding of the behavior of a compound in water.




With this data a more precise attempt can be made to extrapolate from




a system employed in the laboratory to the obviously much more complex




system present in natural waters.




     The purpose of this work is to provide a working theory on the




behavior of substances of low water solubility and to test this theory




by investigating the solubility characteristics of Aroclor 1254.

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                               Section TV




                                THEORY




     To explain and predict the characteristics of"water-insoluble sub-




stances at low concentrations, an attempt is made here to redefine the




basic principles underlying a disperse system.  No attempts have been




made to include in the definition the somewhat obsolete and often vague




definitions of emulsions, suspensions, colloids, etc.  The characteristics




ascribed to each becoming readily apparent as the theoretical treatment




of the proposed model continues.




     In this paper, an ideal or true solution is defined as a solute dis-




persed in a solvent so that any single molecule of solute is surrounded




by enough solvent molecules to insure that at any instant all solute mole-




cules are distributed statistically equidistant, assuming a dilution at




which interactions between solute molecules become negligible.




     The ideal solution, under the conditions described, is represented




by the presence of single solute molecules.  Solute aggregates consisting




of two or more molecules may represent a deviation from the ideal solu-




tion because, at least theoretically, these aggregates could consist of




any number of molecules whose behavior would not necessarily coincide




with that of a single molecule.  For each solute and a single solvent,




there is assumed to exist amongst all aggregates a maximally stable




aggregate which, due to its nature, remains statistically equidistant




from all other aggregates for at least a certain period of time.  The




stability of this aggregate depends solely on the molecularly char-




acterized interactions at the solute-solvent interphase and on tem-




perature.

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     By definition, a single solute molecule in a disperse system




possesses a certain sphere of influence, the nature of which governs the




fate of the solvent molecules that surround it, which in turn affects the




behavior of the solute molecule, and thus determines the characteristics




of the solute molecule in the system.  While precise information is lack-




ing, it is known, nevertheless, that the range of effect of a solute




molecule may extend through several layers of surrounding solvent molecules.




This means, of course, an orderly alignment involving either oppositely




charged polar regions or non-polar regions on the solute and the solvent




molecules.  If this interaction between solute and solvent molecules is




of significance, the above defined ideal solution can be visualized, pro-




vided also that there is no competition among the solvent molecules belong-




ing to respective spheres of influence of two separate solute molecules.




     The complexity of the situation is increased in cases where the




interactions between solute and solvent molecules (solute-solvent inter-




actions) become less pronounced, and, as a result, the interactions between




solute and solute molecules (solute-solute interactions) become more pro-




nounced.  This implies that the sphere of influence around the solute




molecule is diminished with respect to the solvent molecules which are




now no longer attracted to the same degree.   As two or more solute mole-




cules start to form aggregates, the factor of size of aggregates versus




their stability in a solvent becomes of utmost importance.




     A generalized illustration of the size  distribution of aggregates




that one might expect to find in a suspension is shown in Fig.  1.

-------
INCREASE
    IN
RELATIVE
STABILITY
    OF
EMULSION
                  REGION WHERE SMALL
                  AGGREGATES COALESCE
                                                        B
                                                REGION OF  MAXIMUM
                                                      STABILITY
REGION WHERE LARGE
AGGREGATES PRECIPITATE
                                     INCREASE  IN AGGREGATE  DIAMETER
             Figure 1.  Theoretical relative stability of different sizes of aggregates in
                        an emulsion during a given  time interval.

-------
Region "A" describes an area in which the aggregates are too small to




exist independently because interactions in the sphere of influence




at that point are such that solute-solute interactions, which have now




become aggregate-aggregate interactions, are more pronounced than the




aggregate-solvent interactions.  Therefore, these aggregates are




expected to coalesce, moving them into region "B", which describes a




range of aggregate sizes of maximum stability.  The aggregate-aggregate




interactions in this range are weaker than in region "A" for that size




of aggregate.  Region "C" described aggregates which are too heavy to




remain in suspension for a given period of time and will settle out or




break into smaller, more stable aggregates.  The exact shape of this




curve and especially that of region "B", depends on how tightly the sol-




vent is held within the sphere of influence of the solute aggregate, which




is a function of the molecular interactions between solute and solvent.




     The distribution of different aggregate sizes in terms of molecularly




characterized interactions is shown in Fig. 2.  The actual equilibrium




reaction taking place is described in a simplified manner at the top of the




figure.  The two curves relate the hypothetical strength of interactions




of solute-solvent (aggregate-solvent) type and solute-solute (aggregate-




aggregate) type to aggregate size.  The region where the curves cross




corresponds to a distribution of aggregate sizes of maximum stability.

-------
 EQUILIBRIUM  BETWEEN
 SINGLE MOLECULE (A)
 AND  AGGREGATES
 (B) AND (C)
B
  RELATIVE
  STRENGTH
     OF
INTERACTION
                                             AREA OF MAXIMUM
                                                 STABILITY
                                                                                      SOLUTE-SOLUTE
                                                                                    (AGGREGATE - AGGREGATE)
                                                                                      INTERACTIONS
                                                                          SOLUTE - SOLVENT
                                                                        (AGGREGATE - SOLVENT)
                                                                            INTERACTIONS
                                        AGGREGATE SIZE
                 Figure  2.  Theoretical  strength  of interaction between solute and solvent.

-------
                               Section V



                                 MODEL



     Aroclor 1254 was chosen as a model compound  because it  has been


extensively used in bioassay at this laboratory  (Duke _e_t al. ,  1970;


Nimmo jit. auL., 1971a; Nimmo _e_t _al. , 1971b; Hansen  e_t  al_. ,  1971;  Lowe  et


al., 1972; Walsh, 1972; Cooley et_ al. , 1972).


     One approach to estimate quantitatively  the  solubility  of  Aroclor


1254 in water and the behavior of its aggregates  is  to  use ultracentrifugal


analysis.  This technique permits the selective removal of particles of


a certain size.  For a spherical particle having  a density of  (p)  and a


radius of (r) the molecular weight (M.W.) is  represented by:


                    M.W. = 4/3irr3 NQ                                 (1)


where N  is Avogadro's Number.


Two opposing forces (f) which determine the fate  of  a particle  in  solution:

                                 3
    sedimentation       f = 4/3ur (p-p )g, and                       (2)


    buoyancy            f = 6irrn>                                    (3)


where (p ) is the density of the solvent, (g) is  gravity, and  (n)  is the


viscosity of the solvent.


     To remove a small particle from an emulsion  at  a reasonable rate, a


force larger than gravity must be applied.  Using the ultracentrifuge, (g)

                                   2
in equation  (2) is replaced with (u x), the angular  velocity of the


centrifuge rotor (w) times the distance of travel (x) of  the emulsified


particle.
 1  The equations used are normally found in any  textbook  on  physical
   chemistry, and their reproduction here is intended merely  for the
   convenience of the reader.
                                  10

-------
     The rate of sedimentation  during  centrifugation is described by:
    dx  =   2r2(p-p0)io2x


    dt           9n
                                                                    (4)
where  (t) is time in seconds  to  reach  equilibriuo.   Integration yields:
                .     _  2r2(p-p0)a)2t
        In xo - In xi =	
                    1        9n

The radius of a spherical  particle  is  then given by:
                                                  (5)
where
r =*






w =



n =



p =


X =



t =
                       9n(ln x2-ln
                       2(p-p0)to2t
                    1/2
0.10472 (rpm)rotor



g/cm/sec



g/cm3



cm



sec
                                                                      (6)
Knowing  the  radius  of  a particle or assuming a radius,  the time necessary



to remove  the  particle from an emulsion is given by:
                     t =
            x2-ln


      2(p-Po)r2u2
                                                                       (7)
                                    11

-------
     The following are particle size limits calculated uaj.ug
                                                       Q
(6) for given centrifugation times, with n = 8.94 x 10   g/sec/cm, x^ =  6.7  cm,

x2 = 15.3 cm, p - p  = 0.508 g/cm3 at 25,000 rpm.


          Time (hrs)                       Radius of particle  (nm)


              1                               16.3

              2                               11.5

              3                                9.3

              4                                8.1

              6                                6.6

              8                                5.7

     The following are particle size limits calculated using equation (6)

for given centrifugation times, with n = 8.94 x 10~3 g/sec/cm, x  = 6.00 cm,

x2 = 10.73 cm,  p - pQ= 0.508 g/cm3 at 45,000 rpm.


          Time (hrs)                     Radius of particle (nm)


              1                                7.6

              2                                5.4

              3                                4.4

              4                                3.8 (208,000 g/mole1;
                                                    636 molecules)

              6                                3.1

              8                                2.7

             12                                2.2 (40,000 g/mole1;
                                                    124 molecules)
      Average molecular weight Aroclor 1254 = 327 g/mole  (Hutzinger £t  al.,
 (1972).
                                     12

-------
                           Section VI




                 EXPERIMENTS  WITH AROCLOR 1254






     Wide-mouth jars, 30 cm high and 14 cm wide, were used to produce




3£ of Aroclor 1254 emulsion per batch.  Mechanical considerations




concerning the proper physical agitation of Aroclor 1254 and water




made it necessary to use 250 ml of Aroclor 1254 in the jar to submerge




the blades of the stirrer.  Agitation for 0.5 hr at 60°C and 1,800 rpm




produced a cloudy emulsion which was allowed to settle for 48 hrs, when




the range of concentration was found to be 1-20 mg/£ and the emulsion




became almost clear.  This emulsion is referred to as type-I.  A second




homogenization was carried out by transferring to a jar identical to the




one used previously volumes of type-I emulsion to produce emulsions of




10-300 yg/&, and stirring 1 hr at 25°C and 1,800 rpm.  This emulsion is




referred to as type-II.  Type-III emulsions were prepared by taking an




appropriate volume of type-I emulsion, adding it to a stainless steel




blender jar to make a total volume of 500 ml, and homogenizing at high




speed for 5 min.




     All centrifugations were performed in a Beckman Model L3-50 ultra-




centrifuge at 20°C using SW 50.1 and SW 25.2 rotors.




     The extraction procedure was that of Schoor (1973), with modifica-




tions of the ratio of water to hexane.  Evaporation was carried out by




placing the hexane extracts in a water bath at 35°C and allowing a gentle




stream of air to blow across.  This method was found superior to dis-




tillation in percentage recovery and time involved.  When the extract




volumes had to be reduced to less than 10 ml, dried, pre-purified nitrogen




was used instead of air.
                                   13

-------
     A Hewlett-Packard Model 5700 gas chromatograph with a linear




electron-capture detector (  Ni) was used for quantitative determina-




tion of the Aroclor 1254.  The linearity of this detector eliminated




use of different standards at each attenuation or reduction in volume




of the sample, either being very time consuming and subject to errors.




An OV-101 column (2% OV-101 on Gas Chrom Q, 100-120 mesh) was operated




at 195°C with the detector at 300°C and the argon-methane (10:1) carrier




gas at a flow rate of 25ml/min.  Except where noted, quantitation was




performed by comparing total peak heights of sample and standard.




     To determine the amount of Aroclor 1254 adsorbed on walls of




the 34 ml stainless centrifuge tubes, the water phase was decanted and




any adhering droplets removed with a disposable pipet.  Since acetone




injected with the sample was detrimental to the chromatographic column,




a sonic probe and hexane were used for removal of Aroclor 1254 from the




walls of the tubes.  This was necessary because the thin layer of water




remaining on the walls shielded the Aroclor 1254 and prevented it from




being desorbed into the hexane phase.  Bonification emulsified the water




at the boundary layer, thus allowing the hexane to contact the adsorbed




Aroclor 1254.
                                  14

-------
                              Section VII




                                RESULTS






     A typical chromatogram of an Aroclor 1254 standard in hexane  (A)




and a hexane extract of a type-II emulsion (B) is shown in Fig. 3.




Some of the 11 peaks indicated are multiple peaks.  Only peaks 1-7




were used to calculate the "total" peak height on which all quantita-




tions were based.  Peaks 8-11 were excluded, because they were often




too small to permit accurate calculations.




     The effect of storage time on Aroclor 1254 emulsions of type-I




and type-II is shown in Table 1.  There is a fairly rapid initial




decrease in Aroclor 1254 in all cases and it appears that a plateau is




reached at around 7 ug/&.  This should not be interpreted to mean that




solubility is approached at that point, only that perhaps a stable




emulsion is reached at that point.




     The hexane extract of type-II emulsion (chromatogram B) indicates




a relative reduction in peak height for the early eluting peaks.   This




phenomenon is better described by the results shown in Table 2.  For




comparison peak 7 was arbitrarily assigned a relative value of 100%.




The results indicate that on standing a type-II emulsion shows a reduc-




tion of the individual peaks, with the early eluting components,  or less




chlorinated biphenyls (Zitko, 1970), being reduced much more than the late




eluting ones.  The degree of reduction depends somewhat on the preparation




and initial concentration of individual type-II emulsions (Table 2).




Type-III emulsions of comparable "total" concentration show a relative




distribution of the isomers identical to that of the standard.
                                   15

-------
                                              AROCLOR  1254
                                              STD-1 (O.4ng/jul)
                                              X32
                                              X16
                                              AROCLOR  1254
                                              Water  Extract
                                              5.4 jjl
                                              X4
                                              VT = 2O.Oml
Figure 3.
Typical gas chromatograms (see text for
detailed information.

-------
Table 1.  EFFECT OF STORAGE TIME ON AMOUNT OF AROCLOR 1254 REMAINING
          IN THE WATER PHASE
Time (days)
0
2
5
6
8
9
13
15
19
20
21
23
26
28
33
34
41
43
>^g/£ Aroclor 1254
Type I Type II
2300 301 50.2
286
115 23.6
113 11.3
112
123
97 98.5
502
483 87 54.7 6.7
48.1
44.5
78 7.1
6.5
428 7.7
355 7.4
350
15.5
280 6.8
                                   17

-------
Table 2.  ISOMER DISTRIBUTION OF AROCLOR 1254 TYPE II EMULSION AFTER

          STANDING FOR VARIOUS PERIODS OF TIME IN 3£ GLASS BOTTLE
Time
(days)
2
9
13
19
20
21
41
21
33
38

Total
cone .
(ygM)1
286
123
98
54
58
44
15
13
3
1
(3


.5
.7
.1
.5
.5
.4
.6
.6
. 4 ppm)
% Peak Height1
2
Peak Numbers
1
76
79
79
72
64
61
37
16
12
9
(41)
2
93
78
79
75
70
65
41
27
21
10

3
95
89
93
85
80
82
56
44
39

(80)
4
95
94
98
93
89
90
70
55
45
31

5
98
98
99
91
92
99
77
76
64
46
(87)
6
104
99
96
95
94
93
88
87
82
63
(100)
7
100
100
100
100
100
100
100
100
100
100

    Calculations are based on the relative height of peak 7 (see below)

   2
    Peak numbers are shown on the chromatogram in Fig. 1.
                                  18

-------
     The distribution of isomers in a hexane extract of the gill tissue




of a pink shrimp  (Penaeus duorarum) exposed to 2.5 yg/Jl Aroclor 1254 for




20 days is shown in parentheses at the bottom of Table 2.  Because peaks




2, 4 and 7 showed obvious contamination, peak 6 was assigned the arbitrary,




relative 100% value.  The "total" concentration of 3.4 mg/kg was based on




the total height of peaks 1, 3, 5 and 6, and on the wet weight of gill




tissue (blotted to remove adhering water).




     Filtration of type-I emulsion through 450 nm (0.45y) MilliporeR




filters revealed obstructed passage of Aroclor 1254 aggregates smaller




than 450 nm.  Starting with a 1 mg/& emulsion and changing filters after




each filtration, less than 0.01 yg/& of the material remained in the water




after 15 passages.  Since aggregates in the starting emulsion were most




likely smaller than 450 nm (calculations using equation 1 lead to roughly




10   times the average molecular weight of Aroclor 1254) , the Aroclor 1254




must have been adsorbed on the filter.  This was also evidenced by the




fact that the filter paper turned slightly transparent after the first




passage during which about 95% of the material was removed from the




emulsion.




     The first centrifugation experiments were carried out by centri-




fuging 180 ml of 42 yg/£ Aroclor 1254 type-II emulsion in 60 ml polyace-




tate centrifuge tubes for 60 min at 107,000 x g (max.).
                                   19

-------
At an 85% total recovery the following distribution was found:




     Acetone extract of tubes           66%




     Hexane rinses of tubes             18%




     Top 50 ml water phase               5%




     Bottom 10 ml water phase           11%




The low recovery (85%) was probably due to incomplete extraction




of the tubes in spite of refluxing with acetone.




     Polyallomer  centrifuge tubes were tried next.  When 180 ml




of 286 yg/Jl type-II emulsion were centrifuged in 60 ml Polyallomer




tubes for 60 min. at 107,000 x g (max.) the following distribution




was found:




     Acetone extract of tubes




     Hexane rinses of tubes             22%




     Top 25 ml water phase              .5%




     Bottom 35 ml water phase           .6%




These percentages were based on the total amount of starting material,




i.e., assuming 100% recovery instead of the 85% in the case of




the polyacetate tubes.  Extraction of the Polyallomer tubes by reflux-




ing with acetone produced too many interfering peaks on the chroma-




togram, making complete recovery calculations impossible.  Direct




adsorption on Polyallomer tubes was achieved by permitting type-II




emulsions to sit undisturbed in the tubes.  Table 3 shows the outcome




for two different concentrations.




     To permit recovery and study of the material adsorbed on surfaces




34 ml stainless steel centrifuge tubes were used for static tests,
                                   20

-------
 Table  3.  ADSORPTION  OF AROCLOR  1254 TYPE  II EMULSION  ON  POLYALLOMER
           CENTRIFUGE  TUBES  ON  STANDING
                   Time  (hrs)             Aroclor 1254 (yg/£)
                                            in water phase
0
3
72
0
1
3
125
86
3.3
45
35
27
Table 4.  ADSORPTION OF AROCLOR 1254 ON STAINLESS STEEL CENTRIFUGE TUBES
          AS A FUNCTION OF TIME AND CONCENTRATION
Aroclor 1254 type II emulsion
Time
(hrs)
0.5
1
2
16
1
2
(yg)
3.83
3.83
3.83
3.83
0.48
0.06
Total
(yg/i)
113
113
113
113
14
2
Water
(Mg) (yg/Ji;
3.63 107
3.31 97
3.20 94
3.14 92
0.35 10
0.03 1
S. S. tube
> (yg)
0.18
0.30
0.33
0.51
0.08
0.02
% adsorbed
5
9
13
16
23
67
     Stainless steel centrifuge tubes.

                                     21

-------
as well as for ultracentrifugal analysis.  Table 4 shows the amounts


of Aroclor 1254 adsorbed on the wall of a stainless steel centrifuge


tube in relation to starting concentration and time.  The amounts


adsorbed from the 14 yg/£ and 2 yg/£ emulsions were greater than that


adsorbed from the 113 yg/£ emulsion during the same time period.  It


should be pointed out that 0.100 yg of Aroclor 1254 adsorbed as a


monomolecular layer per tube represents about 2% of the minimum area


available.  The calculated inside area of a stainless steel centrifuge

                2
tube was 60.8 cm .    This area must be considered minimum because the


surface was assumed to be ideally smooth, which certainly is not the case.


However, for the approximations involved, this figure was used.

                                                            2
     A simple calculation using equation (1) yields 0.613 nm  for the


cross-sectional surface area of an average Aroclor 1254 molecule using


the average molecular weight of 327 (Hutzinger et ji^L., 1972), and

              3
p = 1.505 g/cm  (W. B. Papageorge, Monsanto Company, St. Louis,


Missouri, personal communication).  Utilizing a molecular model with


the phenyl groups at right angles to each other and bond length


(Pauling, 1940) as the basis for calculations, a cross-sectional area

           2                                       2
of 0.643 nm  for the fully chlorinated and 0.356 nm  for the unchlori-


nated or biphenyl molecule was obtained.  Values falling between are

                                                               . 2
not linearly related to amount of chlorination.  Using 0.613 nm  as an


approximate, average cross-sectional area,  0.100 yg of Aroclor 1254

                2
occupies 1.13 cm  in the form of a monomolecular layer.  This corresponds


to approximately 3 yg/2. in a 34 ml stainless steel centrifuge tube.
                                  22

-------
It can be seen that even at 50% adsorption from a 3 \ig/i emulsion only




about 1% (maximum) of the available surface area is occupied, and




surface saturation was not a factor.




     The amounts of Aroclor 1254 in the form of emulsions of type-II




and type-Ill adsorbed on the walls of the stainless steel centrifuge




tubes are shown in Table 5.  There is a difference in adsorption of the




two different types of emulsion in the absence of NaCl.  At least for




type-Ill emulsions, the introduction of 30 g/& NaCl appears to have no




effect on the amount of Aroclor 1254 adsorbed.  However, centrifugation




reveals a difference in the size of the aggregates formed in the presence




of NaCl, as shown in Table 6.




     In comparison with an Aroclor 1254 standard, the relative distri-




bution of the isomers in emulsions of type-II and III is quite different,




as shown in Tables 7 and 8.  However, in all cases the adsorbed Aroclor




1254 had a higher percentage of early eluting (gas chromatography)  isomers




than did that which remained in solution.
                                  23

-------
Table 5.  ADSORPTION OF AROCLOR  1254 ON STAINLESS STEEL CENTRIFUGE TUBES


Time
((hrs)
0.5
1.0
2.0
4.0
19
22
•pg Aroclor 1254^ adsorbed
Type II Emulsion Type III Emulsion

0 g/A NaCL 30 g/A NaCl 0 g/A NaCl
0.19 0.09
0.30 0.10 0.10
0.33 0.14 0.14
0.42 0.19
0.39
0.45
   LData. adjusted to 4.00 yg total starting amount.
  Table 6.  CENTRIFUGATION OF AROCLOR 1254 IN WATER OF VARYING
            SALINITIES AT 69,000 x g (MAX.).
                                            Aroclor 1254

                                   remaining in water phase
Time (hrs)
0.5
1.0
2.0
g/£ NaCl
0 15
13.9 7.1
12.5 6.6
7.2 4.6
30
6.0
4.9
2.9
  -'-Started with 50  yg/Jl  Type  III  emulsion.
                                      24

-------
Table 7.  DISTRIBUTION OF  ISOMERS OF AROCLOR  1254  TYPE  II  EMULSION
          ON STANDING IN STAINLESS  STEEL  CENTRIFUGE  TUBES
Storage Hrs in
(days) tube yg/&
%

123
Peak heights
2
Peak number
4 5


6
              0
310 water
93   90    98    99    98   100   100
              0       115  water         53    71    73    91    98    98   100


              2        97  water  phase  49    67    69    83   100   100   100


              2        12  adsorbed     96   106   103   127   119   100   100



              0       112  water         51    67    71    82    96    97   100


              2       102  water  phase  48    66    68    79    98    98   100


              2       8.0  adsorbed     69    82    85   104   107   100   100
  13           0       97 water        47   64    68    81     97     98    100


              2       86 water phase  43   59    66    78     92     96    100


              2      6.1 adsorbed     47   68    77    94    101     98    100
      -'-Compared to standard Aroclor 1254 (Fig.  1).   Calculations  are  based

 on the relative heights of peak 7.

      r\
       Peak numbers are shown on the chromatogram in Fig.  1.

-------
Table 8.  DISTRIBUTION OF ISOMERS IN THE ABSORBED FRACTION OF AROCLOR  1254
          TYPE III EMULSION ON STANDING IN STAINLESS STEEL CENTRIFUGE  TUBES
                                                 % Peak heights1
                                                              2
                                                   Peak number
 NaCl    hrs  in  water phase  adsorbed
 (g/A)     tube      (yg/£)        (yg)     12345
   0        2        47.4       0.122   149   127   135   130    98    100


  30        1        46.9       0.075   144   121   129   129   105    100


   0       22        39.7       0.190   139   118   113   122   127    100
   Compared to standard Aroclor 1254 (Fig. 1).  Calculations are based
on the relative heights of peak 6.
  2
   Peak numbers are shown on the chromatogram in Fig. 1.
                                   26

-------
                              Section IX




                              DISCUSSION






     The original intent for conducting the work described was to find




the absolute solubility of Aroclor 1254 in fresh and salt water.  This,




unfortunately, was not completely accomplished to any accurate degree,




because a series of significant problems occurred at the beginning of




the centrifugation experiments.  Recovery of Aroclor 1254 after




centrifugation was low and, hence, led to the discovery that adsorption




occurred on the walls of the polyacetate centrifuge tubes as well as on




Polyallomer and stainless steel centrifuge tubes.  Ultimately, only the




stainless steel centrifuge tubes were used in the adsorption and ultra-




centrifugal studies.




     The apparent disappearance of early eluting isomers, such as shown




in Table 2, has been observed by others.  It was found to occur in the




eggs of the double-crested cormorant and regarded as possibly due to




metabolic breakdown (Hutzinger ejt al., 1972).  Similar behavior in the




carcasses of bobwhite quail after exposure to Aroclor 1254 was observed




and believed to be because of isomeric transformations (Bagley and




Cromartie, 1973).  Application of Aroclor 1254 to different types of




soil showed a reduced recovery of the early eluting, lower chlorinated




biphenyls (Iwata et^ jil., 1973), and it was postulated that this may have




been due to evaporation from the soil.  My studies did not substantiate the




observations by Zitko (1970) that when Aroclor 1254 emulsions are centri-




fuged the dissolved fraction is richer in the lower chlorinated biphenyls




than is the original preparation.  However, the difference could be due




to the method of the preparation of his emulsion, which was similar to my




type-Ill emulsion.  In both type-II and type-Ill emulsions the distribution
                                    27

-------
of isomers in the water phase shows a loss of the lower chlorinated




biphenyls on standing (Tables 7 and 8).  This loss was accounted for




in all cases by adsorption on the stainless steel centrifuge tubes,




the "lost" lower chlorinated biphenyls always being found in the




adsorbed fraction.  Thus, at least from water emulsions of Aroclor 1254,




loss of the lower chlorinated biphenyls is due to their relatively greater




affinity for surfaces.




     The published values for solubility of Aroclor 1254 in fresh and




salt water of 2-3 mg/£ and 1-1.5 mg/£, respectively (Zitko, 1970),




appear much too high.  A conservatively high estimate based on my ultra-




centrifugal experiments indicates the average solubility of the isomers




to be less than 0.1 yg/£ for fresh water and approximately 0.04 ygA




 (calculated from Table 6) in water containing 30 g/£ NaCl.  It is extremely




difficult, in my opinion, to obtain an absolute value for the true solubility




of the average molecular weight isomer of Aroclor 1254.  The problem lies




in the fact that at low concentrations, long centrifugation times (in excess




of 12 hrs at 243,000 x g (max.) theoretically are necessary to eliminate




aggregates from the emulsion.  At the low concentrations necessary to




eliminate undesirable stirring back after completion of the centrifugation




 (Bowman et al., 1960), adsorption on the walls of the stainless steel




centrifuge tubes  (67% at 2 yg/4 for 2 hrs, Table 4) makes it all but




impossible to employ ultracentrifugation for extended periods of time.




     It appears that at least in the case of type-Ill emulsions the adsorp-




tion from water emulsions containing 0 and 30 g/£ NaCl was the same




 (Table 5), although the rate of sedimentation was quite different.  The
                                    28

-------
explanation for this lies in the fact that the size of the Aroclor 1254




aggregate is much larger in the presence of salt and, while this is not




apparent at 1 x g, the larger aggregates are removed more quickly from




the salt-containing emulsion during ultracentrifugation.  This agrees




very well with my hypothesis that a larger aggregate is more stable




under the given conditions and in the presence of salt, which is conducive




to greater solute-solute (aggregate-aggregate) interaction.
                                    29

-------
                               Section X
                              REFERENCES
                                                                     /g)
Bagley, G. E., and E. Cromartie.  Elimination Pattern of Aroclor  1254
Components in the Bobwhite.  J. Chromatogr. Sci. ^75_: 219-226,  1973.

Bowman, M. C., F. Acree, Jr., and M. K. Corbett.   Solubility  of Carbon-14
DDT in Water.  J. Agric. Food Chem. £(5):406-408,  Sept. 1960.

Colley, N. R., J. M. Keltner, Jr., and J. Forester.  Mirex and Aroclor
1254  :  Effect On and Accumulation by Tetrahymena  pyriformis  Strain W.
J. Protozool.  19^(4): 636-638, 1972.

Duke,  T. W.,  J.  T- Lowe, and A. J. Wilson, Jr.  A  Polychlorinated
Biphenyl  (Aroclor® 1254) in the Water, Sediment, and Biota of Escambia
Bay,  Florida.  Bull. Environ. Contam. Toxicol.  5/2):171-180,  1970.

Hansen, D.  J., P- R. Parrish, J.  I. Lowe, A. J. Wilson, Jr.,  and
P. D. Wilson.  Chronic  Toxicity,  Uptake and Retention of Aroclor
125^5)in  Two  Estuarine  Fishes.  Bull. Environ. Contam, Toxicol.
113-119,  1971.

Hutzinger,  0., S.  Safe, and V. Zitko.  Polychlorinated Biphenyls.
Analabs Res.  Notes.  12(2):1-11,  July 1972.

Iwata, Y.,  W.  E. Westlake, and F. A Gunther.  Varying Persistence
of Polycblorinated Biphenyls in Six California Soils Under Laboratory
Conditions.   Bull. Environ. Contam. Toxicol.  j) (4) : 204-211, 1973.

Lowe, J.  I.,  P.  R. Parrish, J. M. Patrick, Jr.-^and J. Forester.
Effects of  the Polychlorinated Biphenyl AroclorS^1254 on the  American
Oyster (Crassostrea  virginica).   Mar. Biol.  r7(3):209-214, Dec.  1972.

Nimmo, D. R., R. R.  Blackman, A.  J. Wilson, Jr., and J. Forester.
Toxicity  and  Distribution  of Aroclor® 1254 in the  Pink Shrimp (Penaeus
duorarum) .  Mar. Biol.  3.1(3) : 191-197, Nov. 1971(a).

Nimmo, D. R., P. D.  Wilson, R. R. Blackman, and A.  J. Wilson,  Jr.
Polychlorinated  Biphenyl Absorbed from Sediments by Fiddler Crabs
and  Pink  Shrimp.   Nature   231:50-52, May 1971(b).

Pauling,  L.   Nature  of  the Chemical Bond.  Ithaca,  Cornell University
Press, 1940.   164 p.

Schoor, W.  P. In  Vivo  Binding of p,p'-DDE to Human  Serum  Proteins.
Bull. Environ. Contam.  Toxicol.   _9(2):70-74, 1973.

Walsh, G. E.   Insecticides, Herbicides and Polychlorinated Biphenyls
in Estuaries. J.  Wash. Acad.  Sci.  6_2(2) : 122-139,  1972.

Zitko, V.   Polychlorinated Biphenyls Solubilized in Water  by  Nonionic
Surfactants for  Studies of Toxicity to Aquatic Animals.  Bull. Environ.
Contam. Toxicol.   .5(3): 219-226, 1970.

                                    30

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                                    TECHNICAL REPORT DATA
                             (i'li-asc read laanictions on the reverse before completing)
 i. ni con i NO
  EPA  660/3-74-013
4. TITLE AND SUUTITLE
 Theoretical model and solubility characteristics of
 ArocloP' 1254 in water: Problems associated with low-
 solubility compounds in aquatic toxicity tests.
                                                             5. REPORT DATE
                                                               September 1974
                                                             6. PERFORMING ORGANIZATION CODE
7. AUTHOH(S)
  W. Peter  Schoor, Ph.D.
                                                             8. PERFORMING ORGANIZATION REPORT NO
                                                             3. RECIPIENT'S ACCESSION-NO.
9. PERFORMING ORG MMIZATION NAME AND ADDRESS
 U. S. Environmental Protection Agency
 Gulf Breeze Environmental  Research Laboratory
 Sabine  Island
 Gulf Breeze, Florida 32561
                                                             10. PROGBAM ELEMENT NO.
                                                                1 EA077 /  10AKC / 018
                                                             11. CONTRACT/GRANT NO.
 17. SPONSORING AGENCY NAME AND ADDRESS
                                                             13 TYPE OF REPORT AND PERIOD COVERED
                                                                 Final
                                                             14. SPONSORING AGENCY CODE
 15. SUPPLEMENTARY NOTES
 16. ABSTRACT
 A theoretical model of the  behavior of substances having  low water-solubility  is
 presented  and discussed with re&pect to  aqueous bioassay.  Ultracentrifugal  techniques
 were used  in an attempt to  study size distributions of Aroclor^l254 aggregates  in
 aqueous  emulsions.  Results indicate strong  adsorption from  emulsion by surfaces and &
 water-solubility at 20°C  of less than 0.1 yg%  in distilled water and approximately
 40% of that value in water  containing 30 (g/£ NaCl.  Implications with regard to
 aqueous  bioassay are discussed.
17.
1.
                                 KEY WORDS AND DOCUMENT ANALYSIS
                   DESCRIPTORS
 Solubility
 Aroclor^ 1254
 Theoretical Model
 Water
 Aquatic Toxicity Tests
 Low-Solubility  Compounds
 Emulsion
  •i i IP nil a
                              Adsorption
                                               b.IDENTIFIERS/OPEN ENDED TERMS
                                                                           c.  COSATI Field/Group
!••). tjl jrnlBUTfON'STATEMENT
   Release  to  public
                                               19. SECURITY CLASS (This Report)

                                                 Unclassif-ipH
21. NO. OF PAGES
                                               20. SECURITY CLASS (Thispage)
                                                  Unclassified
                                                                           22. PRICE
EPX
                            • -* a. S.^OVERNMENT PRINTING OFFICE: 1975-698-089(103 REGION 10

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CONTRIBUTION NO. 209

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Reprinted from Abstracts of the A nnual Meeting-1974
Copyright © 1974, American Society for Microbiology

G 207     Observations of Luminescent Bacteria in Continuous
          Culture.  L. KIEFER*, H. JANNASCH, K. NEALSON, and
A. BOURQUIN,  Univ. W. Fla.,  Pensacola, FL; Marine Biol.
Lab., Woods  Hole, MA; Environ. Prot. Agy., Gulf Breeze, FL.

   Free-living marine luminous bacteria have never been
observed to  luminesce in the open ocean.  The absence  of
this activity is postulated to be a result of an insuffi-
cent concentration of extracellular inducer substance
 (responsible for auto-induction in batch  culture) in the
environment.
   To investigate this model, Photobacterium fisheri,  str.
121, was cultured in  a glycerol-limited chemostat appara-
tus. Light  production was shown to be sustainable for
several  days when a  cell density greater  than the induc-
tion density was maintained. Thus, a potential for con-
tinuous  light emission was demonstrated.
   After steady-state conditions were achieved at high
cell density, dilutions of the limiting substrate resulted
in proportional and predictable decreases in cell density.
Light emission, on the other hand, was proportional to
dilution only at or above the cell density of induction.
Thereafter,  light emission was rapidly extinguished while
cell density remained at the predicted value, thus support-
ing  the  critical concentration model for  inducer activity.

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CONTRIBUTION NO. 210

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                                              GB 210
Reprinted from Abstracts of the Annual Meeting-1974
Copyright © 1974, American Society for Microbiology

G 264    Mlcrobial Response  to  Malathion Treatments in Salt
         Marsh Microcosms.   AL  BOURQUIN*. L. KIEFER, and
S. CASSIDY.  U.S. Environmental Protection Agency, GBERL,
Gulf Breeze, FL.
Battery jars (6.5)1) were  filled with salt marsh mud and
water and placed at a  constant  temperature (28C) and a 12 h
diurnal light cycle.   The slowly  aerated microcosms were
stabilized for 1 week  before treating with malathion at IX
and 10X field application rate.   Application of the toxicant
was repeated every 10  days for  30 days.   Sediment and water
samples were analysed  at  appropriate intervals for total
aerobic heterotrophs and  malathion degrading organisms (sole
carbon source, SCS, and added growth substrate, MN).  Var-
ience analysis of the  MN  data showed significant differences
between control and treatment levels for both sediment and
water samples.  No significant  differences were noted
between treatment periods.   Numbers of MN organisms increas-
ed rapidly  (7 days) after the first treatment, remaining at
or over 70%  (sediment) or 80% (water) of the total hetero-
trophic community.  Although numbers of  SCS degraders ap-
peared to increase with malathion treatments and increase
over the control in both  sediment and water, no statistical-
ly significant differences were noted, due to fluctuations
after treatments.  No  changes in  total numbers of hetero-
trophs over  the controls  were noted.
No differences in populations of  amylase, chitinase, lipase
and casease producers  were observed between controls and
treated microcosms.

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CONTRIBUTION NO. 211

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JOURNAL OP INVERTEBRATE PATHOLOGY 23, 389-396 (1974)
            Pathological Effects of  Urosporidium (Haplosporida)

                    Infection in  Microphallid Metacercariae1

                                     JOHN A. COUCH
    U.S. Environmental Protection Agency, Gulf Breeze  Environmental  Research Laboratory;
          Sabine Island, Gulj Breeze, Florida 32561 (Associate Laboratory oj the National
                      Environmental Research  Center, Coruallis, Oregon)

                                Received November 30, 1973

        Extensive pathological changes  occur in Megalophallus  metacercariae  as  a  result  of
      natural infections  by the haplosporidan hyperparasite Urosporidium crescens.  Infected
      and uninfccted metaceriae, recovered  from blue crabs from Chincoteague Bay, Mary-
      land, were examined and compared histologically in regard to condition of metacercarial
      cyst wall,  tegument, and specialized  parenchymal cells. Changes from  normal  found  in
      heavily infected metacercariae were (1) suppression  and replacement of possible  secretory
      and parenchymal cells by the hyperparasite, (2) lack of reticulin slromata, polysaccharides,
      and acid  mucopolysaccharides,  (3)  reduction in thickness of cyst wall, tegumental, and
      connective tissue structures, and (4) loss of mobility and resistance to  mechanical pressures.
      Though severe pathological changes occur in heavily  infected metacercariae, most infected
      metacercariae  remain viable within the blue  crab  and thereby serve as a vector for
      Urosporidium  until the  death  of  the blue crab. At the  time  of the  crab's death and
      disorganization, infected  melacercariae rupture and release spores of the hyperparasite.
               INTRODUCTION
   DeTurk (1940)  described a  hyperpara-
site,   Urosporidium   crescens   (Protozoa:
Haplosporida),  in the metacercariae of  a
species  of  microphallid  trematode   that
parasitized   the  blue   crab,   Callinectes
sapidus, in the  Beaufort,  North  Carolina,
area.  He  identified the  trematode as  the
metacercaria  of Spelotrema nicolli, which
has  since  been  transferred to the genus
Microphallus  by Baer (1943).  During  my
studies of a species of microphallid trema-
tode from blue  crabs in Chincoteague Bay,
Maryland, I  found  metacercariae of  the
genus  Megalophallus^ parasitized  by a spe-
cies  of  Urosporidium  (Fig. 1)  which  ap-

  1 Most  of the- work  reported here  was  done
at the  National Marine  Fisheries Service  Labo-
ratory,  Oxford, Maryland.
  2 Contribution No.  211, Gulf Breeze Environ-
mental Research Laboratory.
  31  wish to (hank Dr. R. M. Cable for valuable
aid in  identifying the trematode genus.
pears  identical to  U.  crescens.  Sprague
 (1966),    in   a    detailed    review    of
haplosporidan parasites  of trematodes, and
Sprague and Couch  (1971) reported finding
similar infected metacercariae  of a micro-
phallid trematode in blue crabs from Chin-
coteague Bay, Maryland.
  The   infected   Megalophallut,    meta-
cercariae  are  readily  recognized  because
they  become  enlarged,  darkly  pigmented,
and rupture upon application of  slight me-
chanical pressure (coverslip  pressure).  The
uninfected  and lightly  infected  metacer-
cariae are  smaller,  white to  cream color,
and withstand relatively intense mechani-
cal pressure.
  A histological study was  undertaken  to
examine the Megalophallus-Urosporidium
relationship.
         MATERIALS AND  METHODS
  Blue crabs harboring  uninfected and in-
fected metacercariae were collected monthly
                                           389
Copyright © 1974 by Academic Press, Inc.
Ali rights of reproduction in any form reserved.

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                           JOHN" A.  COUCH
I'Kis. 1  s. ( I'tispofitliitm  frcsct'jis spores ami suctions of mctacciTariai

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                          PATHOLOGIC  EFFECTS OF L'rosporilll II 111
                                         391
from Chincoteaguc Bay in Maryland  and
Virginia  during  1968  and  1969.  Most of
these crabs were  caught in commercial crab
traps  during  a  crab survey by  the  U.S.
National Marine Fisheries  Service. Crabs
were prepared by removing the dorsal cara-
pace and inspecting all internal tissues  and
organ  surfaces for metacercariac. Muscle
and hepatopancreatic  tissues  were  teased
apart under a dissecting microscope; unin-
fected  and  infected  metacercariac were
fixed  in Davidson's  (Shaw  and  Battle,
1957), Bouin's  (aqueous), or AFA  fixatives.
  Uninfected  metacercariac were  allowed
to excyst in pctri plates, filled  with filtered
seawater, over periods  of 24-36 hr at room
temperature. The complex male reproduc-
tive system was  studied  in  living   and
stained  whole  mounts  (Semichon's  aceto-
carmine)   in  order  to   make   generic
identification.
  Fixed,  uninfected  and  infected  mcta-
cercariae were carefully  embedded together
in paraffin blocks, sectioned at 3^m, and the
sections stained  by  one of the  following
methods. Total  protein  was studied with
the  mercury bromophenol blue  method of
Mazia  et  al.  (1953),  with  the  exception
that, instead of dehydrating with an  aque-
ous  cthanol series,  a 1-butanol (2 changes)
dehydration was used' to prevent excessive
loss  of stain. Sclcroproteins, i.e.,  reticulin
and  collagenous materials, were studied  by
Lillie's (1965)  silver oxide  reticulin  tech-
nique.  Acid   mucopolytaccharidos  were
stained by a modified alcain blue  method
of Lison  (19541  (pH 2.5; no counterstain)
using  1-butanol  for dehydration.  Periodic
acid-Schiff (PAS) methods with or  without
0.5% malt diastase digestion were  used to
compare  total polysaccharide patterns and
to determine location and condition of cer-
tain cell  types in  uninfected and infected
metacercariac.  Mallory's triple  stain and
standard  iron hematoxylin-cosin  were used
for general histological study.
  Measurements  were made of 20  normal
and  20 infected  metacercariae in sections,
and  averages and  ranges given  are based
on these measurements.

                  RESULTS
  Cysts  of uninfected   metacercariae  (in
section) range from 189 to 266 /*m in cliam-
  4 Pearse  (1968;  p.  607)   recommends  tertiary
butyl alcol.ol following staining by this method.
      FIG. 1. Arrows point to immature ami fully developed, tailed spores of liyperparasite; round
    sporoplasms with nuclei visible in most spores. X970.
      FIG. 2. Oral sucker region of uninfected mctaoercaria stained with Hg-BPB; arrow points to
    normal cyst wall with moderate staining.  x430.
      FIG. 3.  Oral sucker region of heavily infected metaccrcaria; arrows point lo thin cyst wall
    and Hg-BPB-positive pharynx; note  complete replacement of oral sucker cells by sporocysls
    of Uro-Sporidium, but lack of infection of pharynx. X430.
      FIG. 4.  Dense fibers of  silver-positive  stroma in uninfected worm (upper  arrow) ; lack of
    silver-positive stroma in infected worm (lower arrow) ; nole  the .silver-positive walls of  Uro-
    xporidium spores  as well as dense meslnvork of connective tissue slroma of crab host between
    metacercarial cysts (Lillie's silver oxide stain). x430.
      FIG. 5. Lack of reticulin-eollagen-positive material in clear,  .single-layered cyst wall of unin-
    fected worm (arrowheads)  ; note dense layer of reliculin-posilive host material closely abutting
    negative cyst wall (Lillie's silver  oxide stain). X430.
      FIG. 6. PAS-treated infected  metacercariae (large specimen); note the more intense staining
    of uninfected metacercaria (smaller specimen), and the difference  in sizes of uninfected and
    infected metacercariae.  xlOO.
      FIG. 7.  PAS (treated with 0.5% diastase)  section of infected and uninfected metacercariae
    (compare  with   Fig.  6) ;  nole PAS-positivc diastase-resistant cyst wall  (arrowhead) and
    tegument. XlOO.
      FIG. 8.  PAS-treated  uninfected  (arrow)  and infected metacercariae; compare differences in
    thickness  and  intensity of  staining  in  tegument,  and  parenchyma; particularly note  the
    reticulated PAS pattern (arrow) in uninfecied metaccrcaria. X430.

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392
JOHN A.  COUCH
                                       TABLE 1
   RESULTS OF SELECTED STAINING METHODS  ON UNINFECTKD AND INFECTED METACERCAHIAK"
Type I

Staining method
Hg-BPB
Lillie's silver oxide
PAS
PAS (O.o% diastase)
Alcian blue (pH 2.5)
Cyst
U"
2
0
•)
2
0
wall
P
2
0
2
2
0
Tegument
U
3
3
3
3
3
I
3
1
1
1
0
Parenchyma
U
3
3
3
0
0
I
0,1
1
0,1
0
0
cells
U
0
2
2
2
3
I
0
0
0
0
0
Type II
cells
U
2
0
3
3
0
I
0,1
0
0
0
0
  ° Staining reaction scale: 0 = negative staining or absence of structure; 1 = light staining; 2 = mod-
erate staining; 3 = strong staining.
  6 U = uninfected metaoereariae; I = infected metacercariae.
eter,  whereas  those   of   infected  meta-
cercariae  are  usually  410 to  654 ^m  in
diameter. The difference in size is a result
of  enlargement of  infected metacercariae
when they become filled witl-v-sp'orocysts of
Urosporidium (Figs. 6, 7, 10).
  Encysted metacercariae, both uninfected
and infected, arc surrounded  by a single-
layered cyst wall of apparent parasite ori-
gin  (Figs. 2, 5, 7). Often a  layer  of  host
tissue adheres to cysts removed from  the
host. Usually, the major difference between
cyst walls of normal and  infected Megalo-
phallus  metacercariae  is  their  relative
thicknesses, the latter often having  a much
thinner wall (average thickness of normal,
2.3/irn; infected, 0.8 /mi).
  The tegument  of normal metacercariae
is spinous  from  the  anterior  end of  the
worm to  a  point  slightly  posttesticular. It
is 1.7-4.5 /am thick, with an obvious under-
lying basement membrane. In sections  of
heavily  infected  metacercaria, the tegu-
ment is thinner  (<0.5  to rarely 2.0 /iin),
spines are less obvious, and  the basement
membrane appears  thinner than normal.
  The parenchyma (cells and spaces  be-
tween tegumental basement membrane and
internal organs)  of normal worms is com-
pact  in  sections  stained  with  iron  herua-
toxylin and eosin, whereas the normal rela-
tionships  of  specific  parcnchymal  cells,
connective tissue  element?, and organs  are
altered by  hypcrparasites in  heavily  in-
fected metacercariae.
           Table  1  gives  the  results of  selected
         staining methods on specific tissues of unin-
         fected and infected metacercariae.  The tis-
         sues  studied were  the cyst wall, tegument,
         parenchyma, and  certain specialized  cell
         types in  the peripheral and  central paren-
         chymal areas.
           The cyst wall surrounding the uninfected
         metacercaria  stains   blue  with   mercury
         bromophenol blue (abbreviated  Hg-BPB
         hereafter)  (Fig. 2). In cysts  of the infected
         worm, the wall is  reduced in thickness and
         is often broken,  (Fig.  3). However, the cyst
         wall  of  heavily  infected   metacercariae,
         though thinner  than  normal, stains  with
         Hg-BPB.
           As noted earlier, the single cyst wall of
         Megalophallus is intimately  surrounded by
         host  tissue. The nature of the fine  layer of
         host  material adjacent to the cyst  wall be-
         comes  clear when   one  studies  sections
         stained with Lillie's  silver  oxide  reticulin
         stain.  The  fibrous   material  deposited
         against the cyst wall  stains black  (Fig. 5),
         and corresponds in stain affinity to  reticulin
         fibers in  the vertebrates. The presence of
         this  fine  reticulin layer, which   contains
         some fibroblastlike cells,  is  the only  histo-
         logical evidence of a host response to the
         presence  of metacercariae, aiul ^ay be con-
         sidered a very  slight encapsulation reac-
         tion.  There appears to be no difference in
         the  amount of  reticulin-positive  material
         surrounding uninfected and  infected cysts
         (Fig. 4).

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                           I'vnroi.ocic KFKKCTS or I'ros

                                                           iv
                                                                                         12
      Fie.  1). Distribution  of cells uf type 1 (rijjlit unow)  and i.vpe 11  (left  arrow)  in uuinfc-ctcd
    metacercnria; note  difference  in  stain  (PAS-diastiiso livaled) intensity  in  iwo cell  types.
    X430.
      J'lC.  10. Infected inetacercaiia ( PAS-diastase treated)  ID lie  compared  with  Fij:  !l; paren-
    cliyiiiii cumplelely iilled with sporocysis. X-130.
      l''lc:.  11. Alci.'iu l)lne-tre:iled seel ion; middle  allow poinis lo :ilci:in Illuc-stniuing material in
    cr.'ih host, I issue (ground s'"1   .:.,  '.  arrow on  reader's lefi puinls lo aiad iiiiico]iol\sacrliaride-
    posili\c  te^umont and  type I cells  of  nnmlected nielacen-ai la;  arrow  ;tt  ntilit  poinld to
    comparable  section  of inl'eried wonn  wliirh lacks :dcian bhli'-liosilivc  malerial and t \ pe 1
    cells.  X »30.
      l''i i    amount.-  often  closely  ahuttinii  the outer
  The  cyst walls ot uninlected and infected   surface of the  cyst  wall.  The cyst Walls
nu'taci'i'cariae :ire  1'. \S-po.-it ive  alter dia--   proper  of  unmlected  and  infcctril  meta-
tase dip'.-tion  i !• 'tii;s. 7. 1)1.  Because  of tt>   eercariae  are alcian  bllK'-lH'fjativc.  (Mien.
11^-Bl'B   staininii   and   I".\S-posit ivcni1.-.-.   small  amorphous  amounts  of  alcian lilnc-
diastase-resist aiiee. t he • single-layered wall   positi\-e material are  lound against  the in-
proliably  consist- of a  earliohx'drate pro em   ncr -urfacc of the cyst wall.  Inn tin- male-
                                                                  i'

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394
                                   JOHN A. COUCH
  Iii both uninfected and  infected worms,
the tegument  stains positively for protein
(Figs. 2 and 3], but the reduced thickness
of the tegument of infected worms indicates
less total protein (Fig. 3).
  The basement membrane of the tegument
of uninfected worms  apparently  reduced
more silver  (per unit length) than that of
the infected worms, thus showing a greater
concentration  of basement membrane con-
stituents per unit length of membrane in
section.  When  treated  with Lillie's  silver
oxide method and  other connective  tissue
stains, i.e., Mallory's triple stain and Hg-
BPB, the tegumcntal basement membranes
of the infected worm appear to have under-
gone a thinning  or "stretching," as  had the
tegument  and cyst wall. This is probably
a result of the remarkably enlarged condi-
tion of heavily infected  metacercariae.
  The tegument of uninfected and  infected
worms is  PAS-positive and  diastase-resis-
tant. The tegumcntal  layer, including the
basement membrane,  of  infected worms
shows less staining for  PAS-positivc, dia-
stase-resistant material  than docs  that of
the uninfected worms  (Figs.  9, 10).
  The outer tegument of uninfected meta-
cercariae stains  intensely with alcain blue
(Figs. 11, 12), indicating that a heavy con-
centration   of  acid  mucopolysaccharides
exists in this layer. The basement membrane
is negative  for  aid  mucopolysaccharides.
Heavily infected worms do not stain  with
alcian blue (Fig. 11).
  Hg-BPB-positive fibrous  tissue between
parenchyma! cells gives an overall blue cast
to  sections  of  uninfected  metarcercariae
(Fig.  2). Comparison of the same  general
regions  in infected worms suggests a loss
of protein. Figure 3 shows the almost com-
plete replacement of host tissue by plasmo-
dia and spores of the  hyperparasitc.  Note
particularly the oral sucker  of the  unin-
fected (Fig.  2) and infected (Fig. 3) meta-
cercariae. In the heavily infected worm, the
only tissue that  shows a significantly nor-
mal  protein  concentration is the  pharynx
 (arrow),  the  only organ  not  invaded  by
 I'rosporiilium.
  In  their parenchyma, uninfected worms
 have  fibers of acellular, reticulin-positive
 material. This material (Fig. 4) may com-
 pose part of an interstitial tissue similar to
 that  described  by  Tlireadgold  and  Gal-
 lagher (1966)  as ramifying among and be-
 tween parenchymal cells of Fasciola. These
 fibers appear to be identical with, and oc-
 cupy  the same space as, the Hg-BPB-posi-
 tive fibrous tissue in  the  parenchyma.  In
 infected worms,  this Hg-BPB-positivc and
reticulin-positive tissue is less obvious (Fig.
4)  because  masses  of  sporocysts  and
 plasmodia  replace  or  occupy large spaces
in  the  parenchyma.   In   infected meta-
 cercariae, there  is no  evidence  of increase
 in reticulin or other connective  tissue acel-
 lular  elements concomitant with  enlarge-
 ment  of the worm.
  The parenchymata of uninfected worms
show  much heavier positive PAS  reactions
 than  do those of  infected  worms  (Figs. 6,
8).  The  PAS-positivc  substances  in unin-
 fected worms seem to  be distributed along
the paths of the supportive  stromata, rather
than in  the general interstromal spaces oc-
cupied by parenchymal  cells. This  may give
the PAS-positive material a reticulated ap-
pearance (Fig. 8).
  Certain cells found in the peripheral and
central parenchymata of metacercariae arc
designated here  as types I and II. These
two  cell types  arc characterized by the
staining  reactions  of  their   cytoplasms
 (Table 11. These cell types are used mainly
as ''markers'1 of  normal conditions in unin-
fected metacercariae and  to  demonstrate
pathological changes that take  place in in-
fected metacercariae. In this  paper, these
cells  are not  compared with specific cell
types  described  for other larval and adult
Digcnca, e.g.,  Dixon (1966),  Thakur and
Cheng (1968), because of the lack of back-
ground  cytological studies  of  microphallid
metacercariae   needed   as  a   basis   for
comparison.

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                        PATHOLOGIC  EFFECTS  OF UrOSpOTldium
                                                                395
                                       TABLE 2
      THREE PATHOLOGICAL CHANGES AND POSSIBLE RELATED EFFECTS IN METACEHCABIAE
                            INFECTED BY Urosporidium crescens
                             I
                                II
                                III
Pathological change
Final effect
Reduction in thickness of
  cyst wall and in thick-
  ness of tegument
Rupture of cyst wall
  upon application of
  pressure
Enlargement of metacer-
  cariae without conco-
  mitant increase in
  supportive connective
  tissue stromata (total
  protein; reticulin)
Collapse of parenchyma
  and release of hyper-
  parasite; loss of mo-
  bility of preencysting
  metacercaria
Replacement and suppres-
  sion of activity of cell
  types I and II
                                                                Loss of possible protective
                                                                  layer of acid mucopoly-
                                                                  saccharides and rnuco-
                                                                  proteins
  Cell type I is found immediately beneath
the basement membrane, mostly in the an-
terior  dorsal and  ventral regions of  the
parenchyma of uninfected worms  (Figs. 9,
12). The  absence of Hg-BPB staining  and
the occurrence  of a distinct PAS reaction
(diastase-resistant)   and  alcianophilia  in
the cytoplasm of cells of this type indicates
that  they   possess  neutral,  nonglycogen
polysaccharides  and acid polysaccharides.
Infected worms (Figs. 7, 8, 10) show a loss
of these cells or replacement of them by the
hyperparasite.
  The  degree  of alcianophilia in a  given
section of the tegument appears to be pro-
portional to the  concentration  of neutral
and acid  mucopolysaccharide-positive  cells
(type  I)  underlying that section (Fig. 12).
The tegument  in the anterior half of unin-
fected metacercariae gives the strongest re-
action  with alcian  blue,  and the largest
number of type I cells is found there. These
observations suggest a possible relationship
between the distribution of acid mucopoly-
saccharides  in the  outer tegumental  layer
and a  concomitant distribution of type  I
cells in the  anterior peripheral parenchyma
(see particularly Figs. 11  and  12).  The
identity of  staining reactions of these  cells
with   staining  reactions  (PAS+,  alcian
blue-)-) of materials in the tegument of the
worm  suggests  that the type I cells  may
secrete the tegumental  mucopolysaccha-
                         rides. The concomitant loss  of tegumental
                         alcianophilia  and absence of cell type I in
                         parenchymata  of  heavily infected meta-
                         cercariae further strengthens this concept.
                         The  presence  of  large  amounts -of  acid
                         mucopolysaccharides in the tegument (par-
                         ticularly around the oral sucker) could pro-
                         tect the worm from the definitive host's di-
                         gestive enzymens,  a function suggested for
                         tegumental  acid  mucopolysaccharides  in
                         helminths  by  Monne  (1959)   and  Lee
                          (1966).
                            Cell type II, found in the anterior central
                         and marginal parenchyma (Figs. 7, 9), is
                         positive for protein and  is intensely  PAS-
                         positive   following   diastase   treatment
                          (Table 1). These staining reactions suggest
                         the  presence  of mucoproteins. In infected
                         metacercariae,  these cells are  replaced  or
                         destroyed  by the  hyperparasites  (Figs. 7,
                         10).
                            Effects of  Urosporidium crescens infec-
                         tion on metacercariae of Megalophallus sp.
                         are summarized in Table 2.

                                         DISCUSSION
                            DeTurk (1940) was  the first to note that
                         Urosporidium occurs in such  large numbers
                         that the tissues of the trematode host are
                         often replaced. I have observed  that  even
                         though the trematode becomes intensely in-
                         vaded  and  most of its parenchyma is re-
                         placed  by the  hyperparasite, the enlarged

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396
JOHN A.  COUCH
and heavily  infected metacercariae  retain
the ability to move slowly, thereby demon-
strating their viability.  It is possible  that
a  small  percentage  of  infected  metacer-
cariae are  destroyed  in  the crab. There is
only  a slight host response to  living unin-
fected and infected metacercariae in  blue
crabs.
  Death of  infected  metacercariae in  the
tissues of the  crab would result in a  pre-
mature  release  of Urosporidium  crescens
into  a hostile  environment, exposing  the
hyperparasite  to  possible destruction by
crab hemocytes or other defense  mechanisms.
Therefore, I suggest  that, usually, fragile
infected  metacercarie while  in  the  living
crab  host serve as a vehicle for the hyper-
parasite until the crab dies or  is killed and
disorganized, at which time the spores of
Urosporidium  are freed by the rupture of
the metacercaria.
  The replacement, failure, or  reduction of
supportive tissue  complexes, e.g. reticulin,
and the specific loss  of  possibly protective
acid   mucopolysaccharide  layers   could
greatly reduce the probability of any given
heavily  infected  metacercaria  establishing
itself  in  a definitive  host, even if it were
released intact from the crab. The suppres-
sion  or  elimination  of possible  secretory
cells  in heavily infected metacercariae  sug-
gests  that the specific  roles  of these  cells
could be  studied  further  by  using unin-
fected metacercariae  and infected  meta-
cercariae as experimental systems.
                REFERENCES
BAER, J.  G. 1943.  Les trematodes   parasites de
    la  musaraigne   d'eau   Neomys   fodiens
    (Schreb.).  Bull.  Soc. Neuchatel  Sci.  Natur.,
    68, 34-84.
EteToBK, W. E. 1940. The occurrence and develop-
    ment  of a hyperparasite  Urosporidium  cres-
    cens sp. nov. (Sporozoa, Haplosporidia) which
             infests the metacercariae of Spelotrema nicolli
             parasite in Callinectes sapidus. J. Elisha Mit-
             chell Sci. Soc., 56, 231-232.
         DIXON,  K. E. 1966.  A morphological and histo-
             chemical study of the cystogenic cells of the
             cercaria of Fasciola hepatica L. Parasitology,
             56,  287-297.
         LEE, D. L.  1966.  The structure and composition
             of the helminth  cuticle.  Advan. Parasitol., 4,
             187-254.
         LILLIE, R. D. 1965. "Histopathologic Technic and
             Practical Histochemistry,'' 3rd ed. McGraw-
             Hill, New York.
         LISON, L. 1954. Alcian blue  8G with  chlorantine
             fast red  5B. A  technic for selective  staining
             of mucopolysaccharides.  Stain  TechnoL,  29,
             131-138.
         MAZIA, D., BREWER, P. A., AND ALFERT, M. 1953.
             The cytochemical staining and measurement
             of protein with  mercuric bromophenol blue.
             Biol. Bull, 104, 57-67.
         MONNE, L. 1959. On the external cuticles of various
             helminths and their role in the host-parasite
             relationship.  A   histochemical  study.  Ark.
             Zool, 12, 343-385.
         PEARSE,  A. G. E. 1968. "Histochemistry, Theoreti-
             cal  and  Applied," Vol.  1,  3rd ed., Little,
             Brown, • Boston, Massachusetts.
         SHAW, B. L., AND BATTLE, H.  I. 1957.  The gross
             and  microscopic  anatomy  of the  digestive
             tract  of the  oyster Crassostrea  virginica
             (Gmelin). Can. J. Zool., 35, 325-347.
         SPRAGTJE, V.  1966. Haplosporidan parasites of tre-
             matodes. Proc.  Symp. Anim. Parasites  In-
             vertebr., Washington, D.C., sponsored by Am.
             Soc.  Zool. Ref.  No.  66-100,  Natur.  Resour.
             Inst.,  Univ.  Maryland,  Solomons,  Maryland
             (Mimeo.).
         SPRAGUE, V.  AND COTICH, J. A. 1971. An annotated
             list of protozoan  parasites, hyperparasites, and
             commensals of decapod  Crustacea. J. Proto-
             zool, 18, 526-537.
         THAKUB, A. S., AND CHENG,  T. C. 1968. The for-
             mation,  structure, and histochemistry of  the
             metacercarial  cyst of Philophthalmus  gralli
             Mathis  & Leger. Parasitology, 58,  605-618.
         THREADGOLD, L. T.,  AND  GALLAGHER, S. E.  1966.
             Electron microscope studies of Fasciola hepa-
             tica. I.  The ultrastructure and interrelation-
             ship  of  the  parenchymal cells. Parasitology,
             56,  299-304.

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CONTRIBUTION NO. 213

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                         (Rfprinted from Nature, Vol. 247, No. 5438, pp. 229- 231, January 25. 1974)
Free  and Occluded Virus, similar to
Baculovirus, in Hepatopancreas  of
Pink Shrimp
VIRUSES  or virus-like particles  have been  reported infre-
quently  from cells of estuarine  and marine  organisms'"'.
Herpes-type viruses were  described from an estuarine fungus'
and oysters'.  Helical or rod-shaped viruses have not been
reported  from  most  aquatic invertebrates, although  rod-
shaped virus-like  particles  were reported  from  a micro-
annelid  and aquatic beetle0.
  Recently. I observed rod-shaped virus particles and related
inclusion  bodies in cells of pink shrimp (Penac'iis ?*  '•
                              'H   >KJ;
                •*—.    •   :•       \-  1
                                •  :   *
               -4*-;*., *   •  '
i       (
k                      :.   •   --^y
*.   *•                               . • V   ,
&  '"                 '     •   /-;>*i
      •  -»          .  «       •    • •*, •    -A
                                                            ^^^^^^ \  -;;^'
                                                             '^•Pi     "v;:L.
                                                             hJ?     ''--jt-^;'       :    '   ••?y
                                                             • ••/ak^>*>     ^        '-V-4-'
                                                              •^•-•.T-- l>i  -^i-;.: -;•  .-J,   ,^   ^t^
                                                             ^-«'-         •  :C*»  >   r.  •••  -   ^ - **'*** ;J>?
    Fig. I  Light micrograph of cross section of hepatopancreatic
    tubule from pink shrimp exposed to PCB; note normal nucleus
    of epithelial cell (one arrow), and crystalloid, tetrahedral inclu-
    sion bodies in hypertrophied nucleus of afTected cells (two smaK
                          arrows).
  Fig. 2  a, Hypertrophied  nucleus in epithelial, absorptive cell
  from hepatopancreas of shrimp exposed to PCB; non-occluded
  rod-shaped virions  in longitudinal and cross  section;  single
  arrows  point to intranuclear membranes associated with early
  virion  formation,  double  arrows indicate  abnormal  multi-
  laminate nuclear envelope. Inset: high magnification of rod-
  shaped  virion in nucleus (bar = 0.l um);  note  single envelope
  surrounding nucleocapsid.  b. Moderately heavily affected
  nucleus; virions distributed mostly around inner periphery of
  nucleus; arrow points to degenerate nucleolus; double arrows
  point to envelope membranes entering the cytoplasm. Note many
           free ribosomes in cytoplasm (bar= 1 um).

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  Fig. 3  Low magnification electron micrograph of section through
  hepatopancreatic tubule from exposed shrimp  Note profile of
  epithelial cell and nucleus (one arrow) containing free virions and
  intranuclear,  crystalline occlusion  body (two arrows);  note
          hypertrophy of affected nucleus (bar = 5 um).
(from 210 to 316 nm; average 288 + 31  nm, n = 30) but had
a relatively  narrow range  of  diameters  (from 44 to 64 nm;
average, 59  nm t 6 nm, « = 30).  In cross section, the average
diameter of nucleocupsids plus  their containing  envelopes
was  75 nm^7.5  nm  (;i = 30).  The envelopes surrounding
the nucleocapsids (Fig.  5) seemed to be membranous with
spatial and structural relationship to the nucleocapsid similar
to that of envelopes m nuclear polyhedrosis virus (a Baculo-
virus) from Bombyx  inorf.
  Virions were distributed in  most nuclei in greater numbers
near the inner  nuclear membrane (Fig.  2a  and />);  however,
they were associated with or occluded  in  crystalline bodies


                                                           at the ultrastructural  level in some nuclei (Figs  3 and  4).
                                                           These  crystalline, occlusion bodies were always  triangular
                                                           in section, paracrystalline  in structure,  and were the  only
                                                           structures observed with the electron  microscope  that could
                                                           be related to the intranuclear, tetrahedral,  crystalloid bodies
                                                           observed by light microscopy (Fig. 1).  The occluded virions
                                                           were similar in dimensions and structure  to the non-occluded
                                                           virions.
                                                             Evidence suggesting early stages of virion formation was
                                                           found in altered nuclei  (20%  of cell  profiles from exposed
                                                           shrimp) that contained few or no completely formed virions.
                                                           U-shaped  membranous  arrays   occurred  in these  hyper-
                                                           trophied nuclei  (Fig.  la}.   These  arrays  and  associated
                                                           immature  virions were similar   to certain  stages in early
                                                           virogenesis  of  Rhabdionvirus  oryctes  in  the   rhinoceros
                                                           beetle7, and of the virus reported from the whirligig beetle6.
                                                              Ultrastructural cytopathic alterations were associated with
                                                           the  presence  of virions.  Nuclei that contained  virions in
                                                           large numbers were often 1.5-2 times  greater (hypertrophied)
                                                           in profile  area  than  normal  nuclei  (Fig.  3).   Their cyto-
                                                           plasms, however, usually exhibited no parallel difference in
                                                           profile area.   Heavily affected nuclei had  a distinct loss of
                                                           heterochromatin (Fig. la and b), and some affected nuclei
                                                           had   no  heterochromatin.   Nucleolar  degeneration   was
                                                           evident in nuclei that contained many virions (Fig. 2b).  The
                                                           most  remarkable change  associated  with  the  presence of
                                                           large  numbers  of virions was   a proliferation  of  nuclear
                                                           membranes (Fig. 2a  and  b), and their eruption into  the
                                                           cytoplasm to  form a  multimembranous labyrinth (Fig. 2b).
                                                           Cells whose nuclei contained many  virions possessed  cyto-
                                                           plasms filled  with ribosomes, but without normal numbers
                                                           of mitochondria or endoplasmic reticulum vesicles (Fig. 2a
                                                           and b).  Most of these  changes have been observed in cells
                                                           of insects  that  were  infected by Baculovirus.    At  present
                                                           it is not known if  exposure  of infected shrimp to  PCB
                                                           enhances the  cytopathic effects of the virus.
                                                              The following findings suggest a close relationship of the
                                                           shrimp  virus  to the  Baculovirus group1"  of invertebrate
                                                           viruses.   The  virions  were  found  in  nuclei  of  hepato-
                                                           pancreatic cells  of an arthropod (these cells are analogous
                                                           in many aspects to  fat  body and midgut cells of  insects).
                                                           They  are rod shaped (bacilliform), enclosed by one to  two
                                                           envelopes or capsids,  found both free in nuclei and occluded
                                                            in crystalline bodies within nuclei10,  and were  288 nm long
                                                            by  75 nm in diameter,  thus  falling within the size range of
                                                            Baculoviru£-w.  Stromata which seemed to be virogenic were
                                                            present  in affected  nuclei,  and cytopathic alterations of
                                                            affected cells and nuclei were similar to those reported for
                                                            Baculovirus infections in insects.
                                                              In summary, a rod-shaped, free and  occluded  virus  exists
                                                            in a  marine  shrimp, indicating that marine  Crustacea  are
                                                            potential hosts  for viruses  similar to certain viruses infecting
                                                            insects and  mites.  So far,  the  virus has  been found  only
                                                            in shrimp taken  from  near  Cedar Key and experimentally
Fig.
        4  Higher magnification (EM) of occlusion  body from
      .  H.  Note virions occluded randomly within body.  This
   body has a two-dimensional  triangular form  of crystalloid
   inclusion body observed with  light microscopy in nuclei of
      hepatopancreatic cells; compare with Fig. 1 (bar=l um).
                                                              Fig. 5  Cross section of free virion in nucleus near abnormal,
                                                              multimembranous (six membranes) nuclear envelope;  note
                                                              outer envelope and capsid of the nucleocapsid of virion (arrows)
                                                                                  (bar = 0.1 um).

-------
 exposed to  the  toxic  chemical, Aroclor  1254 (PCB).   The
 virus  probably  is  a natural parasite,  however,  previously
 undetected,  of estuarine  and marine shrimp.
  Mudies of possible interactions of  the PCB and virus in
pink  shrimp may provide valuable  information needed to
clarity  the relationship between natural infectious diseases
and pollutant  chemicals in the  aquatic environment.
  I thank Dr D. R. Nimmo for collecting and exposing the
shrimp, Dr Jean Adams for advice, Drs John Briggs, C. Vago
and Max Summers  for examining electron micrographs and
for suggestions.  Mrs Leslie  Cupp and  Mr Steve Foss gave
technical assistance.
                                         JOHN A. COUCH
US Environmental  Protection Agency,
Gulf  Breeze Environmental  Research Laboratory,
Sabine  Island,  Gulf Breeze, Florida 32561

Received September 24; revised November 5, 1973.
 1  Vago, C, Nature, 209, 1290 (1966).
 2  Runnger, D., Rustelli, M., Braendle, E., and Malsberger, R. C.,
    J. invert. Path., 17, 72 (1971).
 3  Kazama, F. Y., and Schornstein, K. L., Science, N.Y., 177, 696
    (1972).
 *  Farley, C. A., Banfield, W. G., Kasnie, jim., G., and Foster, W. S.,
    Science, N.Y., 178, 759 (1972).
 5  Dougherty, C., Ferral, J., Brody, B., and Gotthold, M. L.,  Nature,
    198, 973 (1963).
 6  Gouranton, J., /. ultrastruct. Res., 39, 281 (1972).
 7  Huger, A. M., J. invert. Path., 8, 38 (1966).
 8  Reed, D. K., and Hall, I. M., /. invert.  Path., 20, 272 (1972).
 9  Berghold, G. H., Insect Pathology: An Advanced Treatise, 1, 413
    (Academic Press, New York, 1963).
10  Wildy, P., Monog. Virol., 5, 32 (1971).
1 *  Nimmo, D. R., Blackman, R. R., Wilson, jun., A. J., and Forester,
    J., Mar. Biol., 11, 191 (1971).
12  Shaw, B. L., and Battle, H. I.,  Can. J. Zool., 35, 225 (1957).
13  Hayat, M. A., and Giaquinta, R., Tissue and Cell, 2, 191 (1970).

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CONTRIBUTION NO. 215

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Reprinted from JOURNAL OF INVERTEBRATE PATHOLOGY, Vol. 24, No. 3, November 1974
Copyright © 1974 Academic Press, Inc. Printed in U.S^A.
         An  Enzootic Nuclear Polyhedrosis Virus of Pink Shrimp:
                infrastructure, Prevalence,  and Enhancement1

                                    JOHN A.  COUCH
      U.S. Environmental Protection Agency, Gulf Breeze Environmental Research Laboratory,
         Sabine Island, Gulj Breeze, Florida 32561  (Associate Laboratory oj the National
                      Environmental Research Center, Corvallis, Oregon)

                                  Received March 28, 1974

       A nuclear polyhedrosis virus exists in pink  shrimp,  Penaeus duorarum, from waters of
     the northern 'Gulf of Mexico. This virus is rod-shaped, 269 nm long, and possesses an
     outer envelope surrounding its nueleocapsid. The nucleocapsid is 50 nm in diameter. The
     virus occurs in nuclei of host hepatopancreatic  and midgut  cells, and is both free in the
     nucleus and occluded within pyramidal-shaped polyhedral inclusion bodies (PIB's). Histo-
     chemically  and ultrastructurally, the shrimp PIB's appear  to be ribonucleoprotein and in
     fine structure  bear close resemblance to polyhedral inclusion  bodies of Baculovirus species
     from insects. However, the lattice  line-to-line spacing is greater than that usually reported
     for insect PIB's.  Crowding and chemical stress of shrimp in aquaria may enhance and in-
     crease  the virus infection and prevalence. In  limited experiments, shrimp fed heavily in-
     fected  hepatopancreatic tissues had much higher mortality than controls fed only fish. The
     virus appears  to be enzootic in pink shrimp in nature. Cytopathological changes in infected
     cells of shrimp appear similar  to those in insects infected with certain species of Baculovirus.
     The name Baculovirus penaei n.sp. is proposed for the shrimp virus.
               INTRODUCTION
   In the last decade, several reports of virus
diseases, and of viruslike particles in estua-
rine and marine organisms have  been pub-
lished  (Vago,  1966;  Hunger  et  al., 1971;
Bang, 1971; Bonami  and Vago, 1971; Bon-
ami et  al., 1971,  1972; Devauchelle  and
Vago,  1971;   Kazama  and   Schornstein,
1972;  Farley  et  al.,  1972; Couch,  1974).
   The  report by  Couch  (1974)  was con-
cerned  with a rod-shaped virus  in pink
shrimp, Penaeus  duorarum.  This  virus  is
associated  with  polyhedral   (tetrahedral)
inclusion bodies visible with  the light mi-
croscope in nuclei of  host hepatopancreatic
cells. The  virions are  free  and occluded
within the  polyhedral bodies which possess
a  crystalline lattice  fine  structure similar
to  that  of  nuclear   polyhedral  inclusion
bodies  associated with Baculovirus  (sub-
  Contribution  No.  215, Gulf Breeze Environ-
mental Research Laboratory.
                                              group A) in insects. Therefore, the designa-
                                              tion  "nuclear polyhedrosis  virus of  pink
                                              shrimp" appears appropriate. This was the
                                              first virus recognized in a host of the  crus-
                                              tacean suborder Natantia,  and the  first
                                              nuclear polyhedrosis virus reported in ani-
                                              mals other  than insects or  mites  (Wildy,
                                              1971; Couch, 1974). Other viruses reported
                                              to  date from Crustacea  have been icosahe-
                                              dral viruses, all from portunid crabs as de-
                                              scribed  by  Vago  (1966),  Bonami et  al.
                                              (1971), and Bang (1971).
                                               The  purpose  of  the  present paper  is to
                                              confirm and enlarge upon original observa-
                                              tions on  the nuclear polyhedrosis virus in
                                              pink shrimp and to present new evidence
                                              for the enzootic nature, laboratory trans-
                                              mission,  and enhancement of the virus.

                                                       MATERIALS AND METHOD

                                                Source  oj  virus.  Polyhedral inclusion
                                              bodies  were  first observed  in  hepato-
                                           311
Copyright © 1974 by Academic Press, Inc.
All rights of reproduction in any form reser
                               .
                               rved.

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312
                                   JOHN A. COUCH
pancreatic epithelial cell nuclei of shrimp
that  had  been  taken  originally  from
Apalachee Bay near  Cedar  Key,  Florida
(actually landed  at Keaton Beach,  Flor-
ida) .  Prior  to  examination,  the  shrimp
had  been   exposed   experimentally   to
3-5 /Ag/liter  of  the  polychlorinated  bi-
phenyl  (PCB), Aroclor 1254,  by  Nimmo
(personal communication).  These  shrimp,
examined by Couch (1974) and Couch and
Nimmo  (1973),  possessed   pyramidal  or
tetrahedral  (fresh squash),  and triangular
 (sections)  inclusion  bodies  in  hypertro-
phied  nuclei.  Later,  electron  microscopy
 (Couch, 1974) revealed the presence of rod-
 shaped virions, both  free and  occluded  in
 and associated with the inclusion  bodies.2
 These inclusion bodies will be  called poly-
 hedral inclusion bodies (PIB's) in compari-
 son with, and in  the  sense of similar, well-
 studied  inclusion bodies  associated  with
 Baculovirus   (subgroup  A)  in   insects
 (Wildy, 1971).
    Subsequent to the initial  findings, over
 400 pink shrimp  have been examined from
 the Gulf of  Mexico, taken  from near the
 following localities:  Keaton Beach, Apa-
 lachee Bay, Port St. Joe, and Pensacola,  all
 in Florida.

 Histological Methods
    Hepatopancreatic tissues  were removed
 from shrimp,  and fresh squashes were pre-
 pared immediately  for microscopical  study.
 Hepatopancreas containing PIB's was fixed
 in  Davidson's   fixative   or  in  neutral,
 buffered 10% formalin, processed,  and em-
 bedded  in paraffin.  Sections  (5-7 /urn) were
 stained  with Harris hematoxylin and eosin,
 mercury bromophenol blue  (Mazia and
 Brewer,  1953), periodic acid-Schiff  (PAS)

   * Dr. Max Summers has subsequently  confirmed
 the viral structures  in  infected shrimp cells
 through his own EM studies of shrimp tissues sup-
 plied by OUT laboratory. Certain electron micro-
 graphs in t.hiH paper were prepared by  Dr. Sum-
 mers; he is gratefully acknowledged for this and
 his generous and helpful comments on fine struc-
 ture of the virus.
(with  and  without   diastase  digestion),
methyl green-pyonin (Luna, 1968), and the
Feulgen  method.  Normal  hepatopancreas,
i.e., without PIB's, was processed as above
for comparison  with  infected tissue.
  For  electron microscopy (EM), hepato-
pancreas containining  heavy concentrations
of PIB's was diced in 2.5% glutaraldehyde
in plastic  Petri plates. Diced tissue  was
fixed for 30 min in fresh  2.5% glutaralde-
hyde and postfixed in \% Os04 for 30 min
at 0-4°C. The fixed tissues were then pro-
cessed and finally embedded in Epon 812
according to the method of Hay at (1970).
Sections 50-100 nm thick  were collected on
300  mesh, unsupported copper  grids, and
stained with uranyl  acetate  and lead cit-
rate.  Normal, uninfected  hepatopancreatic
tissue was prepared  similarly for electron
microscopy.  Several   thousand hepatopan-
creatic  cell profiles from 30  pink shrimp
were examined  during  this study with  a
Zeiss EM  9S2 electron microscope.

Prevalence and  .Relative Concentrations of
PIB's
  Prevalence of polyhedral inclusion bodies,
hence  prevalence  of  patent  virus infec-
tions,3 is herein  expressed  as the proportion
of any given sample  of pink shrimp  that
possesses PIB's  demonstrable in fresh hepa-
topancreatic   squash  preparations  or  in
stained sections of hepatopancreas. To find
a single PIB in a squash  preparation with
light microscopy is to  diagnose the presence
of the virus  in  a shrimp.  The certainty of
this conclusion is based on a 100%  associa-
tion of virions with the PIB's in over  1000
PIB-containing  cell  profiles  examined by
EM.
   Known volumes of hepatopancreatic tis-
sues  containing PIB's  were diluted  with
exact  volumes  of distilled water  (usually
0.25 ml hepatopancreas in 5 ml  of  distilled

  * Patent virus infection herein refers to the situ-
ation in which virus development has proceeded
to the point of polyhedral inclusion body produc-
tion, thus making infections  detectable with the
light microscope.

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                           ENZOOTIC NPV  OF PINK SHEIMP
                                                                                313
 water). This mixture was homogenized with
 a sonic  probe and  relative  concentrations
 of  PIB's in  individual shrimp were  deter-
 mined  by  hemocytometer  counts.   These
 counts provided an  index of relative  inten-
 sities of patent infections in shrimp because
 the number  of PIB's/:mm3  of hepatopan-
 creatic tissue is proportionate to the  num-
 ber of host cells/mm3  that have patent
 virus  infections (a single PIB per patently
 infected  nucleus is the dominant histologi-
 cal and EM finding; see Figs. 4, 8, and 11).
 PIB's  can  be  harvested  by  homogeniz-
 ing hepatopancreas  and centrifuging  the
 homogenate at 2000-30000. The pellet thus
 obtained  can be resuspended and cleaner
 pellets  may   be  obtained  with  further
 centrifugation.

 Enhancement experiments

  Pink shrimp samples that were collected
 periodically  from   near  Keaton  Beach,
 Florida,  in the Gulf of  Mexico,  and from
 Santa Rosa Sound, near Pensacola, Florida,
 were examined by the  fresh squash method
 to determine base prevalence4 of PIB-con-
 taining shrimp. These  samples usually con-
 sisted  of 100  shrimp  of which  40 were
 directly  examined to  determine  base pre-
 valence.  Fifty to sixty  of  the  surviving
 shrimp from these samples were placed in
 100-gal aquaria in premixed artificial sea-
 water  of  controlled  salinity and  tempera-
 ture. These shrimp were held  under crowded
 conditions for 30-40  days  and fed  only
 frozen fish purchased  from a local seafood
 market.  To  detect  any  increase  over  the
 initial base prevalence  found in the original
 stock  of shrimp, samples of shrimp were
 removed at periodic  intervals after 3-0 days
 holding, and PIB prevalence in each sam-
 ple was  determined. Daily  attention was
 given to mortality in  the shrimp held for
 30_40  days. Dead  or moribund shrimp,

  'Base prevalence refers to  the proportion of
shrimp  in a sample taken  directly from  nature
and prior to laboratory holding that have  patent
virus infections.
upon detection, were examined for presence
and relative intensity of  PIB's  in hepato-
pancreas.
  Juvenile pink shrimp from a  stock that
showed no patent infections were kept indi-
vidually in 1000 ml beakers for 20-40 days
and fed  only hepatopancreatic tissues that
contained large numbers of PIB's  (>1000
PIB's/mm3 tissue). Other shrimp from this
stock, kept as controls in like manner, were
fed only frozen fish. Shrimp that died were
immediately  examined for the presence  of
PIB's or hypertrophied  nuclei  in  hepato-
pancreatic cells.

Chemical Exposure of Shrimp
  Samples of pink shrimp from populations
in Apalachee Bay were exposed to the poly-
chlorinated biphenyl  (PCB), Aroclor 1254,
in  flowing  seawater  by  Nimmo  et  al.
(1971). Samples of pink shrimp  from near
Pensacola were exposed to the chlorinated
hydrocarbon  insecticide,  mirex, in  flow-
ing  seawater, laboratory  experiments  by
Tagatz  (personal communication). Control
shrimp in both of the preceding experiments
were kept in toxicant-free flowing seawater.
After approximately 30 days, exposed and
control shrimp samples were examined his-
tologically for prevalence of PIB's.

        RESULTS AND DISCUSSION

Light Microscopy  and Histopathology
  The  hepatopancreas  of pink   shr'mp
(Fig. 1)  is  histologically similar  to the
hepatopancreas of  other  Natantia  (Crus-
tacea:  Decapoda).  Polyhedral  inclusion
bodies (PIB's)  occur in nuclei of epithelial
cells of the  acini of the hepatopancreas in
infected shrimp  (Figs. 2, 3). They may be
found in cells in proximal, medial,  and dis-
tal  epithelia of acini. Usually,  in shrimp
with  moderate to light  patent  infections,
PIB's occur  in foci (Fig. 2). In heavily in-
fected shrimp, homoeeneous distribution of
PIB's is the  rule. PIB's have been found in
midgut cell nuclei but not as commonly as
in hepatopancreatic cells.

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314
JOHN  A. COUCH
        FIGS.  1-6. Light  micrographs of hepatopancreatic tissues,  and polyhedral inclusion  bodies
      (PIB's)  of virus.

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                             ENZOOTIC  NPV OF PINK  SHRIMP
                                        315
      FIGS. 7 and 8. Light  micrographs of fresh squash hepatopancreatic preparations showing
    characteristic pyramidal  forms of PIB's.
           FIG. 7. Heavy infection showing PIB's; note pyramidal forms (arrows). xlOOO.
                 FIG. 8. Single large PIB in epithelial fell nucleus, in vivo. X3000.
  PIB's of the shrimp virus are tetrahedral,
or  pyramidal  in  three-dimensional form.
They fall into  the class  of polyhedra  that
have cubic symmetry. When measured  with
light microscopy (LM),  they  range in size
from 0.5-20  /tin from pyramidal base  to
peak (Figs.  7,  8), with  a modal, vertical
length of 8-10 /»m.
  The polyhedra, when  sectioned,  always
have two-dimensional  shapes  of triangles
(Figs. 3-6). They stain  light  to dark  blue
with mercury bromophenol blue, and  they
stain bright red  with methyl green-pyronin,
indicating the  presence  of ribonucleopro-
tein. They are  PAS  negative, mostly Feu-
glen negative, and show variable basophilia
when hematoxylin  stains  are applied, but
no acidophilia when eosin is applied.
  Neither  the  virus  particles  occluded
within the PIB's nor the nonoccluded  virus
particles  in hypertrophied  nuclei  are ob-
servable with  LM.
  The major histopathological effect  asso-
ciated with the  PIB's and observable with
LM,  is the eventual  growth  of the  poly-
hedral inclusion body  to  a size that sur-
passes the infected  cell's capacity to retain
it. The cell then ruptures,  is destroyed, and
releases the large PIB  into the lumen of the
acinus (Figs. 4-6). In  histological  sections
of heavily infected shrimp, it is not unusual
to find  hundreds   of   PIB-containing cell
      FIG. 1. Cross section of hepatopancreas of pink shrimp; A, acinus; C, capsule; HD, hapato-
    pancreatic ducts; MG, midgut.  X40.
      FIG. 2.  Epithelial layers of acini in hepatopancfeas containing  PIB's; arrows  point to  foci
    of PIB's; E, epithelium X80.
      FIG. 3.  Cross section of acinus showing PIB's in nuclei of infected  epithelial cells (single
    arrows) ; normal nuclei (double  arrows). X800.
      FIG. 4.  Large, single PIB  in  nucleus of  hepatopancreatic epithelial  cell (arrow). X800.
      FIG. 5. Four triangular PIB's in epithelial cell nucleus (arrow) ; note normal nuclei. X1600.
      Fin. 6. Histopathological effect of PIB's and virus on hepatopancreatic tissues; note rupture
    and liberation of large PIB's from cells. x800.

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316
                                   JOHN A. COUCH
                       MV

                                        w?..iKRL\

                                  eJ*M?-y      -..-••'
                                  ^              .<^%g!*
                                    '  ~*-J  •"  i.  • *'  '    i*-,--^'  •
                                            •J'
                                          &C
      Fin.  9. Portion of normal epithelial cell of pink shrimp; note salient features of microvilli
    (MV), absorptive region  (AR), nucleus (N), Nucleolus  (No), and nuclear envelope  (NE).
    X14,400.
profiles  (patent  cell infections) ready to
rupture,  or  disintegrating cells with poly-
hedra being extruded  from them  (Figs. 6,
7).
  Infected shrimp  show no  gross  lesions
that would  indicate  infection.  However,
lethargic  and moribund  as well  as dead
pink shrimp from nature and from labora-
tory experiments are often  infected  and
contain many  PIB's  in  hepatopancreatic
tissues. To date, PIB's have not been found
in any tissues  other  than hepatopancreas.
and  midgut,  although  gill,   gonad, and
muscle have been examined.

Electron  Microscopy  and Cytopathology
  The ultrastructure  of virions, PIB's and
infected cells was determined following EM

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                            ENZOOTIC  NPV OK PINK  SHRIMP
                                                         317
      FIG. lOa-e. Pertinent eharacteristi s of virus particles in shrimp  cells,  a. Virions in longi-
    tudinal and cross sections; E, envelope; NC, nuclrocapsid. X66500. b. Longitudinal sections
    of virions;  note terminal protrusion of central virion (arrow), x79,800. c.  Single  virion in
    nucleus; note envelope detail.  X79,800. d. Cross section  of virus rod; note outer envelope
    (E), capsid (C), and  nucleoid  (Nu).  x 185,000. e.  Cross section of virus rod showing dense
    central core of nucleocapsid (arrow). x66,500.
studies of  normal uninfected  hepatopan-
creatic cell  profiles. The normal hepatopan-
creatic absorptive cell (Fig. 9), one of sev-
eral major  cell  types in hepatopancreatic
epithelial tissue, possesses  organelles and
fine structures remarkably  similar to those
of absorptive cells of higher animals. Ab-
sorptive  cells appear to be the cells most
commonly  infected  in  pink shrimp,   al-
though embryonic  and secretory cell pro-
files frequently have  been found to contain
virions and PIB's.
  The mature shrimp virion consists of a
                   bacilliform, enveloped nucleocapsid  (Figs.
                   lOa-e, 14). Often, a  dense central  core is
                   visible within the nucleocapsid of develop-
                   ing or incomplete virus particles (Figs. lOc,
                   15, 22). Certain profiles reveal a protruding
                   structure at one extremity of some virions,
                   giving them a  "bullet"  form  (Fig.  lOb).
                   The functional  significance of the  protru-
                   sion is not known, but it may only reflect
                   an artifact of the envelope or it may  serve
                   as an attachment organelle in  mature vir-
                   ions during infectious processes.
                     The sizes of virions and their components
                                        TABLE 1
 AVERAGE SIZE, STANDARD DEVIATIONS, AND SIZE RANGES OP VIRIONS AND VIRION COMPONENTS"
        Component
       Length (nm)
Diameter (nm)
Thickness (nm)
1. Nucleocapsid
2. Capsid
3. Nucleocapid and envelope
4. Envelope
269.6 ± 20.7(228.1-320.2)  50.3 + 4.8(40.0-60.7)

                          74.5 ± 8.3(60.3-97.6)
                  4.0(3.7-4.2)
                                                8.5(5.3-10.7)
    n =50 for 1 and 3; n =2 for 2; n = 17 for 4.

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318
                                       JOHN A.  COUCH

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                                                                V
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       FIG. 11. Polyliedral inclusion liody and virions in advanced infection. Note occluded
     (arrows) and numerous small, round subunits in nucleoplasm (arrows). X28,500.

-------
                            ENZOOTIC  NPV OF PINK SHRIMP
                                                                                  319
are given in Table 1. Nonoccludcd  and oc-
cluded virions have simi'ar dimensions and
fine structure.
  The fine  structure of  the  shrimp virus,
particularly  the spatial relationship of the
nucleocapsid and outer envelope (Fig.  lOd)
is similar to that of the nuclear polyhedro-
sis virus (Baculovirus) from  Bombyx mori
described by Berghold  (1963). Berghold re-
ferred to the envelope  of the B. mori virus
as the "developmental membrane," and to
the capsid as the "intimate membrane." In
this  work,  I have selected  the presently
more  acceptable   terms  "envelope"  and
"capsid'' for these structures, to be used  as
applied  by  Summers   (1971)   to  similar
structures in granulosis virus.
  Light  and electron  micrographs  of  thin
sections  of  polyhedral inclusion bodies  in
tissue  and those  isolated by centrifugation
reveal  characteristic triangular  or  semitri-
angular forms  i,Fi;j;s.  II,  12, 13). Occasion-
ally,   multipointed  structures   are found
(Fig. 12), which  appear to be the result of
fusion  of several triangular PIB's. Virions
are fully occluded  randomly in the PIB's,
      Fin. 12.  Unusual coalescence  of  PIB's in  nucleus. Also, note edge  of P1H  in triangular
    form caught in thin section (white  arrow). Nuclear envelope alterations are olivious (NEA).
    X 14,400.

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320
                                   JOHN A.  COUCH
                                                                                13
          13. Isolated PilVs;  impure- ])rp]i;ir;ition;  note Occluded virions  (arrows). X28..500.
but partially occluded  virions may be ob-
served (Fig.  14).
  Rarely, more than one  PIB  (up to five
or six) is found per nucleus (Fig. 5). Often,
only  small  corners  are cut  from  a  large
FIB,  producing, in thin sections, small tri-
angular bodies  | Fig. 12).
  The fine structure of the PIB, as revealed
by  KM.  lias some similarity  to that of
PIB's  from  Bacttlowrus-infected  insects.
However, certain featuns of  the shrimp
virus  1MB have not been reported  for insect-
virus  PIB's.
  The crystalline structure  of  the shrimp
virus PIB consists of a linear lattice made
up  of round subunits, each  approximately
11-20 nm in diameter (Fig.  15), spaced in
rows approximately 5 nm apart (Fig.  15).
Sections at right angles to the linear lattice
plane show  a cubic  lattice  substructure
(Fig. 18).  The   subunits,  which  appear
round in Fig. 15,  arc probably ribonucleo-
protein  (RNP)  bodies  that  are  incorpo-
rated into peripheral assembly planes of
the PIB's from a large population of similar,
but larger subunits  (12-21 nm)  in  the nu-
cleoplasm.  Incorporation  or  assembly of
these subunits is strongly suggested  in Figs.

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                          ENZOOT1C NPV OF PINK  SHRIMP
                                                                                       321
    '
                                                                                    14
  Fi
-------
                                    JOHN  A. COUCH


                                    .
                                        .   -   -I' -        -  V
                                        M. .    rr            ••,  *  ,
  FIG. 15. Section  in  linear plane of 1MB lattice; linear arrangement (L)  of  round subunits
(S)  in  crystalline  lattice  cut at rifiht angles to the cubic  lattice  face  (see  Fig.  16);  note
free  Mihumts (8) in nudeoplasm particularly near linear lattice,  X"0,000; Inset: higher mag-
nification of region near periphery of lattice; note that some subunits may have central core
(arrow). X210.000.

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                            ENZOOTIC  N'PV  OF PIXK SHRIMP
                                       323
                 FIGS. 16 and 17. Different aspects of thin sections through PIB's.
      Fiu. 16. Section in plane of cubic face of lattice  at right angle to linear  lattice plane (see
    Fig. 15).  X70,000.
      Fit;. 17.  Section through  edge  of PIB at an angle (hut  reveals  round  subunits  (S) and
    partially occluded virions; note U- and C-shaped membrane profiles in nucleoplasm  adjacent
    to PIB (arrows), x70,000.
15 and 17. Berghold (1963) described simi-
lar subunits in polyhedra of Bombyx mori
nuclear  polyhedrosis  virus as  "spherical
protein molecules" which  are arranged in
a  cubic system,  but did not  mention  the
presence of RNP in the subunits. The possi-
bility  that  subunits in shrimp PIB's  may
be  RNP  bodies is  suggested by  the'r size
(11-20 nm)  and  shape, which  are close
to those of presumed nucleolar RNP bodies
and ribosomes in the cytoplasm of infected
shrimp cells. Further  evidence supporting
the  RNP  nature of these  subunits is  the
strong affinity of the whole PIB for pyronin

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                                     Fins. 18 and 10
  FIG.  18. Amorphous inclusion  body that does not  possess crystalline lattice substructure;
note membrane profiles within body  (arrows). X70000.
  FIG.  19. Single large PIB in advanced infection of nucleus; note abnormal nuclear envelope
(NE),  virogenic stromata in nucleoplasm  (VS), and virions in vesicles  in  cytoplasm near
nucleus (VV).  X 14,000. Inset: enlargement of virus particles in vesicle near nuclear envelope.
X 28,000.
                                           324

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                            ENZOOTIC NPV OF  PINK SHRIMP
                                                                                  325
 (methyl  green-pyronin method),  and  for
 mercury  bfomophenol  blue, indicating  the
 presence  of RNA and protein. Biochemical
 characterization, however, is needed to sub-
 stantiate this possibility.
   Rarely,  profiles  of  amorphous   dense
 bodies  containing virions  and  membrane
 profiles are found in remains of nuclei (Fig.
 18). These bodies do not show lattice and
 subunit  substructure  similar  to those  of
 PIB's. The origins and significance  of  the
 dense  body are  enigmatic, for there  are
 no comparable structures  reported  in  in-
 sect virus  infections   (Summers, personal
 communication).
   Affected shrimp possess cells that  are in
 different stages of the virus infective-repro-
 ductive cycle; thus a spectrum of virus-cell
 ultrastructural  relationships  can  be  ob-
 served. For convenience, three recognizable
 levels  of  cellular infections, characterized
 by morphological changes, will be described
 in  the  following  order:  (1) advanced  or
 patent  infections, (2)  intermediate  infec-
 tions, and (3) early and eclipsed infections.
 Both stages (2) and (3) may be considered
 by some  to be latent,  cellular  infections.
   In advanced, patent  infections the pres-
 ence of a single, relatively large PIB in the
 nucleus is the usual cytological case  (Figs.
 11,  19).  Advanced  infections are further
 characterized by  abnormal, bizarre  forms
 of the nuclear envelopes of the affected cells
 (Fig. 19).  Usually, the  nuclear envelope
 membranes have proliferated,  are  multi-
 laminate,  and  become  widely  separated,
 creating large  cisternae. Further, the PIB
 may be large enough to completely distort
 the nuclear and cellular profile. Membrane-
 lined vesicles containing virions were  found
 occasionally in  the cytoplasm adjacent to
 nuclei with advanced infections (Fig. 19).
  Intermediate  infections may be  charac-
 terized  by  hypertrophied  nuclei that,  in
profile,  contain  from few to  many nonoc-
 cluded virions (Fig. 20). Striking cytopath-
ological changes occur within these  cells.
Nuclei  are  hypertrophied,  usually   1.5-2
times the  profile area of normal cell nuclei.
 Heterochromatin  is lacking or reduced  in
 amount and  distribution  (Figs.  19,  20).
 Aberrant stromatic patterns are present  in
 the nucleoplasm, and nucleoli are absent  or
 degenerate  (Fig. 20). The most remarkable
 change, however,  is  the proliferation  of
 nuclear envelope membranes, which begins
 in intermediate infections and increases  to
 such an extent that, by the time advanced
 infections  are reached,  one is  unable  to
 recognize a normal nuclear envelope (Figs.
 19, 20). The major result of the membrane
 proliferation is  the production of a mem-
 branous labyrinth that has its origins in the.
 nuclear envelope, but extends  considerably
 into the cytoplasm  (Fig. 20). The function
 of this  labyrinth is unclear, but it resembles
 the  network  of reticulum  membranes  in
 cells  of Gyrinus natator infected  by a rod-
 shaped, nonoccluded  virus described by
 Gouranton  (1972),  and that described by
 Summers (1971)  for  granulosis virus-in-
 fected cells of Trichoplusia ni.
  The  cytoplasms  of cells with  intermedi-
 ate infections become filled with.free ribo-
 some and contain  less  endoplasmic reticu-
 lum and  fewer  mitochondria than  normal
 (Fig. 20).
  Early and eclipsed infections are charac-
 terized  by nuclear hypertrophy, diminution
 of heterochromatin, and obvious segrega-
 tion  of the  nucleoplasm into regions  of
 granular and  fibrillar stromata  (Fig. 21).
 No virions  are  apparent in the  eclipsed
 phase;  however,  during the  early phase,  a
 few virions  and early virogenic  stages" are
 apparent  (Fig.  21). The latter  are repre-
 sented by the U- and C-shaped membrane
 configurations associated with dense bodies
 resembling viral cores  or nucleoids  (Figs.
 21, 22). These variable-shaped membranes
 (Figs. 14, 17, 19, 20, 22) in the nucleoplasm,
 associated  with  virions  and nucleoids  of
virions  at all  stages of infection are strik-
ingly similar  to stages  of  virogenesis  of
Rhabdionvirus oryctes described by Huger
 (1986), and to virogenic figures reported  in
midgut  cells  of the  whirligig  beetle by
 Gouranton (1972).

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                                     JOHV A.  COUCH
  Fin.  'JO.  Profile of hepatopancreatic  cell at  intermediate level of infection;  note hypertro-
phicil  nucleus, loss  of liclcrochomMlin, membranous liil).viinth  (MI/),  and virions in micleo-
lila.sm.  Five  riliosomrs arc almtiilant in cytoplasm. Xl4,400.

-------
             li        •••     "   .           •    *s$
             I      ^      ii     r'-ffi
             '^2?    '.^.^_^:,;,:.^'.. *              Jfw>
                          Fiiis. 21 and 22
  FIG. 21. Xuc'leus at'early .sl.-i^c of infection; note diminution of dinmint in, nurlcar liyi
tni])hy and lil>nll;ir and granular slniniala in nucli-oplasin. Xl-t,)00.
  FIG. 22. Numerous membrane profiles and early \ironime stages in nucleoplasma of infected
cell. X 70,000.
                             327

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328
                                  JOHN A. COUCH
PREVALENCE
                                     TABLE 2
                   PIB's IN PINK SHRIMP  FROM NORTHERN GULF OF MEXICO (1970-1974)
                  Number     Number
        Year      examined   with PIB's
                                        Month
Source (all in Florida)
1970

1971



1973




1974


40
1
42
14
14
10
20
20
42
40
28
30
53
20
12
1
0
7
0
0
0
0
12
6
10
0
14
4
June
August
July
August
September
October
June
August
October
November
November
January
January
February
Keaton Beach
Pensacola
Pensacola
Keaton Beach
Keaton Beach
Keaton Beach
Pensacola
Pensacola
Keaton Beach
Pensacola
Port St. Joe
Pensacola
Keaton Beach
Keaton Beach
                TABLE 3
DIRECT-OBSERVATION ESTIMATES (FRESH SQUASH)
   AND ACTUAL HEMOCYTOMETER  COUNTS OF
       PIB's IN THREE PINK SHRIMP

Shrimp
no.
1
2
3
Direct
estimate
(squash)
Light
Moderate
Heavy

Hemocytometer
counts"
50-500 PIB's/mm3
550-850 PIB's/mm'
1100-1650 PIB's/mm3
  " Range of 12 counts from each animal.


Prevalence and Relative Concentrations oj
PIB's

  The prevalence of polyhedral inclusion
bodies,  hence patent  viral  infections, in
pink shrimp  sampled from three points in
the northern Gulf of Mexico is presented
in Table 2.
  To date,  a regular  seasonal  pattern of
PIB occurrence in pink shrimp has not been
established.  However,  during  1973,  PIB-
containing shrimp were collected only dur-
ing the  fall  and  winter  months, October
through  January.  Shrimp  samples  from
Apalachee  Bay  near   Keaton  Beach,
Florida,  had higher PIB prevalence than
those taken near  Pensacola, Florida.
  More  extensive sampling,  presently un-
derway in the northern  Gulf  of Mexico,
                                      should reveal more accurate and valid pat-
                                      terns of  prevalence and distribution  of
                                      PIB's in  pink  shrimp.  However,  the pre-
                                      valence data presented  in Table 2 demon-
                                      strates an enzootic occurrence of  PIB's in
                                      feral shrimp  from  northeastern  Gulf  of
                                      Mexico waters.
                                        Brown  shrimp,  Penaeus  aztecus,  white
                                      shrimp,   Penaeus  setiferus,   and   grass
                                      shrimp, Paleomonetes pugio, examined dur-
                                      ing the last three years, have not  yet been
                                      found to  possess PIB's or  virions similar to
                                      those found in the pink shrimp. However,
                                      large samples of these species have not been
                                      examined thoroughly for PIB's.
                                        Relative concentrations of PIB's in indi-
                                      vidual shrimp  have  been determined by
                                      hemocytometer  counts. Counts for  three
                                      shrimp that showed  considerable difference
                                      in PIB  concentrations  are given  in  Table
                                      3. These  counts are compared to direct esti-
                                      mates of PIB concentrations (made a priori
                                      on  fresh  hepatopancreatic  squashes)  ex-
                                      pressed  as light, moderate,  or heavy. The
                                      a priori direct estimates were based on the
                                      approximate numbers of  PIB's per micro-
                                      scopical  field  (X430)  in fresh squashes,
                                      and the  general distribution  of the  PIB's
                                      throughout the squash.
                                        Since each PIB represents,  on the aver-
                                      age, a single infected cell, it is possible to

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                            ENZOOTIC NPV OF  PINK SHRIMP
                                                                                 329
 estimate with LM the minimum number of
 cells/mm3 of tissue  that  are  destroyed  in
 the infection up to the time of examination.
 According to several counts, in heavily in-
 fected  shrimp,  from  1100-1600 cells/mm3
 are infected  patently, and are therefore des-
 tined  to be lysed  or  destroyed by the
 growth  of the  PIB  and  associated  cyto-
 pathic  alterations. A quantitative relation-
 ship between cell death  and organismic
 debilitation or death, however, has not been
 established in pink shrimp.

 Enhancement and Transmission
   Apparent  increase  in prevalence of pa-
 tent virus infections occurs when samples
 of  pink shrimp  from natural  populations
 with enzootic levels of virus  (Table 2) are
 kept under  crowded  conditions in labora-
 tory aquaria. Experiments were conducted
 in  which  samples of pink  shrimp  from
 Keaton Beach, Florida, showing no patent
 levels of infection, i.e., absence of PIB's  in
 squash, but with probable  latent infections,
 were kept for 40 days in aquaria. Figure
 23  shows the occurrence and increased pre-
 valence of PIB's in samples examined after
 30  and 40 days  under crowded aquarium
 conditions.
   Shrimp are notoriously cannibalistic and
 in  aquaria show  no  hesitation to feed on
 all organs of shrimp carcasses, including
 hepatopancreas. Therefore, one explanation
 for the  40-50% increase in PIB prevalence
 (Fig. 23) could be that transmission of the
 virus from shrimp to shrimp was facilitated
 via  cannibalism,  and  individuals  were ex-
 posed to levels  of virus higher than  nor-
 mally encountered under less  crowded con-
 ditions  in nature, where other scavengers,
 i.e.,  fish, other invertebrates,  quickly  con-
 sume moribund or dead shrimp. Two other
possible modes of enhancement of preval-
 ence levels   in aquaria are  (1)  physical
stress of shrimp due to abnormal crowding,
 hence loss  of resistance, and  (2)  gradual
 increase of infective PIB's in sediments in
 aquaria.
  Five juvenile pink  shrimp from a larger
  K 60
    20
        DAY 1
        N:40
                                DAY 40
  FIG.  23.  Prevalence  of polyhedral inclusion
 bodies  (PIB's) in sample  of pink shrimp  held
 under  abnormally  crowded  conditions  in  an
 aquarium for  40  days.  The initial sample (N =
 40) taken directly from nature showed no PIB's
 in any  shrimp at onset of holding (Day 1).
 sample of shrimp showing no patent virus
 infections were fed heavily infected hepato-
 pancreatic tissues (1000-1600 PIB's/mm3).
 Four of the five died after 20 days feeding.
 Control  shrimp from the  same  stock, fed
 frozen fish, did not die. Examination of the
 experimental shrimp  after 20 days of feed-
 ing showed that one of five had a patent
 virus infection (PIB's present). None of the
 controls  showed patent infections. Each of
 the experimental shrimp had some hyper-
 trophied  nuclei in hepatopancreatic cells,
 whereas  none of  the controls had hyper-
 trophied nuclei. It is difficult to  determine
 from this small experiment whether or not
 the deaths of the experimental shrimp were
 due to feeding heavily  infected tissues, be-
 cause it is possible that some experimental
 shrimp had latent virus infections initially.
 More intensive transmission feeding and in-
 oculation experiments of virus  and PIB's
 are presently underway.
  In  separate  experiments  pink shrimp
 were  exposed to  the  polychlorinated bi-
 phenyl  (PCB),  Aroclor 1254, and to  the
 commercial organchlorine pesticide, mirex.
 Prior to  their  exposure to the  chemicals,
these  shrimp were not examined for  PIB
prevalence. Following exposure for 30 days
to Aroclor 1254, 60% of the Aroclor-exposed
 shrimp  had  developed  patent   infections,

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330
JOHN A.  COTTCH
                 TABLE 4
  PREVALENCE OF PATENT INFECTIONS (PIB's
  PRESENT) IN PINK SHRIMP AFTER EXPOSURE
       TO CHEMICALS FOR 30 DAYS IN
            FLOWING SEAWATER

                        Patent infections
                      Exposed    Controls
Aroclor 1254 (PCB)
  (3 Mg/liter)             12/20°      0/20
Mirex
  (0.01-0.23 Mg/liter)      6/15       1/15
  0 Shrimp with PlB's/total number of shrimp
exposed.

whereas  controls   for  this  exposure  had
none.  (Table  4). Forty  percent  of the
Mirex-exposed  shrimp  had  patent infec-
tions, and  only 6.6%  of the  controls from
this group had patent  infections (Table 4).
  Results of these two experiments suggest
that stress of shrimp by certain toxic chem-
icals may facilitate transmission or enhance
the expression  of latent  viral  infections.
Further  chemical  exposure   experiments,
utilizing larger numbers of  shrimp  from
populations  with  enzootic  levels of virus,
are underway.

               CONCLUSIONS
  The virus  reported and  described herein
appears by virtue of its size, structure, site
of reproduction, polyhedral body associa-
tion, and cytopathic effects to be very simi-
lar to  viruses  in the  genus Baculovirus
(Subgroup  A), that prior to 1974 were de-
scribed only  from  insects and mites (Wildy,
1971). Therefore,  the  name  Baculovirus
penaei sp.  n. is proposed for purposes  of
identification  and  classification  of  the
nuclear polyhedrosis virus of pink shrimp,
Penaeus   duorarum.   The   group   name,
Baculovirus,  is used here in the sense indi-
cated by the Invertebrate  Virus Subcom-
mittee of the International Committee on
Nomenclature of Viruses (ICNV)  (Wildy,-
1971).  Further  chemical  and  biological
characterization  of the shrimp  virus  is
needed to confirm its relationship to Bacu-
         lovirus. Presently, efforts are underway to
         identify  the nucleic acid  content  of the
         shrimp virus. Since the ICNV has approved
         the rule that the law of priority shall not
         apply in  virus  nomenclature, future evi-
         dence showing lack  of  relationship of the
         shrimp virus to Baculovirus may be reason
         enough  to reject  or change  the name at
         some later date.
           It is not known at the present if Baculo-
         virus  penaei causes  mortalities  of  shrimp
         in nature. Small-scale transmission-feeding
         experiments in the laboratory and  mainte-
         nance of shrimp under abnormally crowded
         conditions, and  under chemical  stress ap-
         pear to enhance and  increase the prevalence
         of infection in shrimp samples.  Dead and
         dying pink shrimp  with heavily  infected
         hepatopancreatic tissues have been found.
         However,  the majority of shrimp found to
         be infected with PIB's  and  virus  appear
         grossly  to be healthy,  and it  is possible
         that under normal conditions the  virus is
         enzootic and not prone to become epizootic.
         This appears to be the case  for the similar,
         but nonoccluded rod-shaped  virus  in the
         whirligig  beetle  reported   by  Gouranton
         (1972).
           Because mass mortalities  of marine ani-
         mals,  particularly shrimp,  are  rarely de-
         tected and studied in nature, it  is  difficult
         at present to  assess the role of the virus
         in shrimp  ecology.  Mass rearing of  pink
         shrimp in aquacultural  efforts may  permit
         future assessments of roles  of viral agents
         in shrimp  health.

                    ACKNOWLEDGMENTS
           Mr.  Lee  Courtney participated technically in
         many phases  of the work  and  is gratefully ac-
         knowledged.  Dr.  Del  Nimmo  and Mr.  Sam
         Tagatz, both of the Gulf Breeze  EPA  Laboratory,
         are thanked for their contributions of shrimp from
         their experimental, toxic exposure studies.

                       E.EFEHENCES
         BANG, F. B. 1971. Transmissible  disease,  probably
            viral in origin, affecting the  amebocytes of
            the  European  shore crab, Cartirms  maenas.
            Infect. Immun., 3, 617-623.
         BERGHOLD, G. H. 1963. The nature of nuclear-poly-

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                                ENZOOTIC NPV OF PINK  SHHIMP
                                                                                              331
    hedrosis viruses. In "Insect Pathology An Ad-
    vanced Treatise," Vol. 1. (E. A. Steinhaus, ed.)
    pp. 413-456.  Academic Press, New  York.
BONAMI, J. R., AND VAGO, C.  1971. A virus  of a
    new type pathogenic to Crustacea.  Experien-
    tia, 27, 1363.
BONAMI, J. R.,  H. GRISEL, C. VAGO, AND J. L.
    DUTHOIT.  1972.  Recherches sur une maladie
    epizotique de  I'huitre pelate,  Ostrea edulis
    Linne. Rev. Trav. Inst. Peches Marit.
BONAMI, J.  R., C. VAGO, AND J. L. DUTHOIT. 1971.
    Une maladie virale chez les  Curstaces deca-
    podes  due a un  virus  d'un type  nouveau.
    Comp.  Rend.  Seanc.  I'Acad.  Sci.,   272,
    3087-3091.
COUCH, J. A. 1974. Free and occluded virus, similar
    to  Baculovirus,  in  hepatopancreas of  pink
    shrimp. Nature (London),  247, 229-231.
COUCH, J. A., AND NIMMO, D. R. 1973.  Cytopathol-
    ogy, ultrastructure, and virus infection in pink
    shrimp  exposed to  the PCB,  Aroclor  1254.
    (Abstract) Program of the Joint  Meeting of
    The Society  for  Invertebrate Pathology  and
    International Colloquium on Insect Pathology
    and Microbial Control, p. 105. Oxford  Univer-
    sity, England.
DEVAUCHELLE, G., AND C. \   _>.  1971.  Particules
    d'allure virale  dans les  cellules de  1'estomac
    de la seache, Sepia  officinalis. Compt. Rend.
    Soc. Acad. Sci. Ser. D.,  272, 894-897.
FARLEY, C.  A., W.  G. BANFIELD,  G. KASNIC, JR.,
    AND  W. S.  FOSTER. 1972.  Oyster herpestype
    virus. Science, 178, 759-776.
GOURANTON, J. 1972.  Development of  an intra-
    nuclear nonoccluded rod-shaped virus in some
    midgut cells of an adult insect,  Gyrinus nata-
    tor L.  (Coleoptera).  J.  Ultr:  ,  Mt. Res., 39,
    281-294.
HAYAT, M. A., AND R. GIAQUINTA. 1970. Rapid fixa-
    tion and  embeding for electron  microscopy.
    Tissue and Cell, 2, 191-195.
HUGER, A.  M. 1966. A virus disease of the  Indian
    rhinoceros  beetle,  Oryctes rhinoceros  (Lin-
    naeus), caused by a new type  of insect virus,
    Rhabdionvirus  oryctes  gen.n.,  sp.n. /.  Inver-
    tebr. Pathol, 8, 38-51.
KAZAMA, F. Y., AND SCHORNSTEIN, K. L. 1972. Her-
    pestype  virus  particles  associated  with  a
    fungus. Science, 177, 696-697.
LUNA, L.  G.  (Ed.) 1968.  Manual of Histologip
    Staining Methods of  the Armed Forces Insti-
    tute of Pathology. 3rd  ed., pp. 134-135. Mc-
    Graw-Hill, New York.
MAZIA, D., BREWER,  P. A.,  AND ALFERT, M. 1953.
    The cytochemical staining  and measurement
    of protein with mercuric  bromophenol blue.
    Biol. Bull, 104, 57-67.
NIMMO, D. R., BLACKMAN,  R.  R.,  WILSON,  A. J.,
    AND  FORESTER, J. 1971.  Toxicity and distribu-
    tion  of  Aroclor   1254  in   the pink  shrimp
    Penaeus duorarum. Marine  Biol., 11, 191-197.
RUNGGER, D.,  M. RASTELLI, E.  BHAENDLE, AND R.
    G. MALSBERGER. 1971.  A virus-like particle as-
    sociated with lesions  in  the muscles of  Octo-
    pus vulgaris. J. Invertebr. Pathol.,  17, 72-80.
SUMMERS, M. D.  1971.  Electron  microscopic obser-
    vations on granulosis virus, entry, uncoating
    and  replication processes during infection of
    the  midgut cells of Trichoplusia ni. J.  Ultra-
    struct.  Res., 35, 606-625.
VAGO, C. 1966. A virus disease in Crustacea. Na-
    ture  (London), 209, 1290.
WILDY,  P.  1971.  Classification  and nomenclature
    of viruses. First  report of the international
    committee  on   nomenclature  of  viruses.
    Monogr. ViroL, 5,  1-81.

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CONTRIBUTION NO. 216

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                                                                                                Vol. II No. 2, June 1974

                                                                           MOLECULAR  STRUCTURE OF  PCBs
        Ultrastructural Studies of Shrimp Exposed to
           the Pollutant Chemical Polychlorinated
                  Biphenyl (Aroclor 1254)

   John A. Couch, Ph.D., and Del Wayne R. Nimmo, Ph.D.
           U.S. Environmental Protection Agency
       Gulf Breeze Environmental Research Laboratory
            Sabine Island, Gulf Breeze, FL 32561

 Presented at the 63rd Annual Meeting of the International Academy of
 Pathology,  March 13, 1974, San Francisco, CA


 Gradually increasing signs of disease and toxicity in freshwater
 and  marine ecosystems have increased the need for detailed
 aquatic animal pathology. Among others, there are two areas
 of investigation, utilizing pathobiological methods, that appear
 promising  in  toxicology  of  aquatic animals. These  areas  of
 inquiry are based on two questions:

     1)  Are  there indicative sublethal  cytopathic changes that
        occur in aquatic animals  exposed to  low levels  of
        pollutant chemicals?,
        and
     2)  Are   there  interactions  between  natural  pathogens
        (e.g.  parasites)  and  pollutant chemicals in  aquatic
        animals that will produce harmful synergistic effects?

 Answers  to   these  questions   should  aid   in  determining
 long-term   and short-term effects  of  pollutants on  aquatic
 ecosystems.

 Methods  that we are using  to attempt  to  answer  these
 questions  are:  (1) experimental  exposure of  selected  aquatic
 species  to  both  sublethal  and  lethal  concentrations  of
 pollutants, followed by, or concomitant with, (2) histological,
 subcellular, and physiological investigations of  exposed control
 and feral specimens.

 One of  the most useful marine species  for our  studies has been
 the  pink   shrimp  (Penaeus duorarum).  Pink  shrimp are
 commercially   valuable  Crustacea  common  in the  South
 Atlantic and  Gulf of Mexico. We have been using this species
 as a  test  animal  in  studies of effects of  the widespread
 pollutant  chemicals,  the  polychlorinated  biphenyls  (PCB's),
 (Figs. 1,2).

 In this study, hepatopancreatic tissue was selected as the tissue
of choice  for  monitoring  cellular effects   because  of the
functional significance of the hepatopancreas to Crustacea. The
hepatopancreas is a complex, gland-like organ that functions  in
digestion,  secretion, absorption, and storage of nutrients (Fig.
3). The hepatopancreas consists of  masses of acini or digestive
tubules  which branch off of two hepatopancreatic ducts that
                X  INDICATING THE POSSIBLE CHLORINE POSITIONS
 Fig.  1.  Polychlorinated biphenyl  (Aroclor) molecule.

 have  their  origin in the wall of the  pyloric stomach.  The
 acinus,  the functional unit of the hepatopancreas, consists of a
 tubule whose wall is epithelium. This epithelium is made up of
 several  cell types which are  distributed differentially along the
 length  of  the  acinus  from   a  point  proximal  to   the
 hepatopancreatic duct to distal blind  sacs at the end  of  the
 acinus.  The major cell types are: (1) embryonic (distal  tips of
 acini);  (2) absorptive (adjacent and  medial to the embryonic
 cells); (3) secretory (medial  and proximal  region of  acinus
 relative to the hepatopancreatic ducts).

 In several experiments, shrimp were exposed to 3-5 jug/I PCB
 (Aroclor 1254) in flowing seawater.  After 20-30 days, 50% of
 these shrimp died,'whereas control shrimp experienced little or
 no  mortality. Exposed  shrimp accumulated  up to 500  mg/kg
 PCB  in hepatopancreatic tissues according  to  results  of  gas
 chromatographic analyses (Fig. 4).
E
Q.
Q.
Lf)
CN
o:
O
_i
O
O
cr
    400
    300
200
                                    HEPATOPANCREAS
                           10
                                               20
                                                         25
               EXPOSURE   TIME   (days)
 Fig.  4.  Graph   of  uptake  of   Aroclor
     hepatopancreas over 25-day period.
                                       1254   (PCB)  by
                                                                                                                        17

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The Bulletin of the Society of Pharmacological and Environmental Pathologist*
Fig.  2.  Pink shrimp with dorsal carapace of cephalothorax
    removed to expose hepatopancreas, in situ (arrow).
 Fig. 3. Cross-section  of  hepatopancreas  of  pink  shrimp    Fig. 6, 7. Advanced   ER   proliferation   and  whorls   in
     showing complex relationships of ducts and acini (X 50).       hepatopancreatic cells of shrimp exposed to Aroclor 1254
                                                                (X 28,500).
Fig.  5.  Electron  micrograph  (EM)  of  early endoplasmic    Fig. 8. ER membrane whorls surrounding lipid droplets  in
reticulum  (ER) proliferation  in shrimp cells exposed for
25 days to  Aroclor  1254. Note both attached and free
ribosomes and dilated cisternae of ER (X 28,500).
                                                                 shrimp cells from same shrimp as in Figs. 6, 7. (X 84,000).
 II

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                                                                                              Vol. II No. 2, June 1974

Fig.  9.  Hepatopancreatic cell  from shrimp exposed to 3 jug/I   Fig.  11b.  Fresh squash preparation of hepatopancreatic tissue
    Aroclor  1254  for  30  days.  Note  small  vesicles  in        containing numerous tetrahedral  (3-D) inclusion bodies (X
    nucleoplasm and loss of cytoplasmic integrity (X  14,400).        3,000).

Fig. 10. Advanced nuclear degeneration in Aroclor-exposed
    shrimp.  Note large vesicles in nucleoplasm surrounded by
    myelin-like sheaths. Note, also, the extreme modification
    of  nuclear   envelopes  and   myelin-like  structures  in
    envelope area (X 28,500).
                        Fig.  12.  Electron  micrograph   of  inclusion   body   in
                           hepatopancreatic cell  nucleus from  shrimp exposed  to
                           Aroclor  1254.  Note rod-shaped virions, both  free and
                           occluded within body (X 28,500).
                           •  d

               I
                c

                v   C
                )
                      *
 f.%
>  •»r
                         \     j
Fig. 11a. Cross-section (light micrograph) of hepatopancreas
    acinus from pink shrimp. Note triangular inclusion bodies
    in some nuclei, and hypertrophied nuclei as well as normal
    nuclei  (X1.000).
                       Fig. 13.  Electron  micrograph of hepatopancreatic cell with
                            infected nucleus.  Note hypertrophy  of nucleus, loss of
                            heterochromatin, and cytoplasmic changes (X 14,400).


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The Bulletin of the Society of Pharmacological and Environmental Pathologists

Hepatopancreatic  absorptive cells from shrimp  surviving 30   5.  Trump, B.  F., and Arstila, A. V.:  Cell injury and  cell
days'  exposure revealed the following departures from normal:       death, in:  Principles of  Pat'hobiology.  Oxford University
    1)  30 to  50%  of cells  had  increased or proliferated       Press. New York, pp. 9-95, 1971.
        endoplasmic reticulum associated with  high numbers
        of attached and free ribosomes (Figs. 5, 6, 7).
    2)  Eventual  production  of  "membrane  whorls" or
        myelin bodies that  often enclose lipid  droplets  (Fig.
        8).
    3)  Nuclear degeneration characterized by the occurrence
        of  vesicles in the nucleoplasm. These vesicles are of
        two classes:  20-50 nm in diameter, and 100-700 nm
        in diameter  (Figs. 9, 10).

The proliferation  of endoplasmic  reticulum in  certain  cells
(hepatocytes)  of higher animals has been associated with toxic
responses  to  phenobarbitol,  dilantin  (5), dieldrin (3), and
carbon  tetrachloride   (4,5).   This   proliferation  has  been
correlated  with detoxification of  poisons  and can,  if the
poison  persists, progress  to  the  formation  of  membrane
whorls, abnormal  myelin bodies, and  death of the  cell (5).
Since the hepatopancreas of shrimp performs some functions
similar  to those  of  the  liver  of  higher animals,  it  is not
unreasonable  to suggest that  the responses observed  in the
shrimp  absorptive cells may indicate toxic responses  to the
PCB.

Another finding in the hepatopancreas of PCB-exposed shrimp
was the discovery of a  new  virus associated  with  unique
polyhedral inclusion bodies visible at the light microscope level
(Fig.  11). This  virus  and  its polyhedral inclusion body were
found in higher prevalence in shrimp exposed to PCB  than in
shrimp  taken  directly  from  nature or held as controls (1). The
virus  is rod-shaped and may be free in the nucleus or occluded
in the polyhedral  inclusion body in nuclei of absorptive cells
(Fig.  12). Therefore, it  is very similar  to Baculovirus that
infects  and  causes  diseases  in insects.  Cytopathic  effects
associated with the virus are shown in Fig. 13.

We are presently  studying  the interactions of  the virus and
PCB  in shrimp in the laboratory  to determine if there are
harmful   synergistic   interactions   between  low  levels of
pollutants  (pesticides)  and  virus infections. The concept of
possible synergism between  pollutants  and natural pathogens
introduces  a  novel  field of  research  with aquatic  animals,
similar  to  that suggested  by Friend  and Trainer  (2) for
terrestrial  vertebrates infected by viruses.

                        References

1.  Couch, J.: Free and occluded virus, similar to Baculovirus,
    in hepatopancreas of  pink shrimp.  Nature, 247: 229-231,
    1974.

2.  Friend, M., and  Trainer, D. O.:  Polychlorinated biphenyl:
    Interaction with   duck  hepatitis  virus.  Science,   170:
    1314-1316, 1970.

3.  Hutterer,  F.,  Schaffner,  F., Klion,  F., and Popper, H.:
    Hy pertrophic,   hypoactive,   smooth   endoplasmic
    reticulum:  A  sensitive   indicator   of  hepatotoxicity
    exemplified by dieldrin. Science,  161, 1968.

4.  Smuckler,  E. A.,  and   Arcasoy,  M.:  Structural  and
    functional  changes of  the  endoplasmic  reticulum of
    hepatic parenchymal cells, in: Inter. Rev. Exper.  Path. 7:
    305-418.  Academic Press, New  York and London,  1969.


20

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CONTRIBUTION NO. 219

-------
  In:  1974 Proc. Gulf Coast Regional Symposium on Diseases
       of  Aquatic Animals.  LSU-SG-74-05.   Baton Rouge,  La.  70803
                  DETECTION OF INTERACTIONS BETWEEN

                        NATURAL PATHOGENS AND

                    POLLUTANTS IN AQUATIC ANIMALS1
                     John A.  Couch  and D. R. Nlmmo
                U.  S. Environmental Protection Agency
            Gulf Breeze Environmental Research Laboratory
                            Sabine  Island
                      Gulf Breeze,  Florida  32561
         (Associate Laboratory of the National Environmental
                 Research Center, Corvallis, Oregon)
     Hopefully, it is now generally  accepted that the "germ theory"
of disease applies to aquatic vertebrates and invertebrates as well
as to terrestrial forms.   That this  has not always been the case is
best illustrated by the fact that  in the past when mass mortalities
of aquatic animals occurred, the general ecologist often overlooked
the possibility that infectious pathogens might have been the etio-
logic agent.  More often than not, every other possible avenue of
cause and effect was explored before a search for infectious disease
agents was launched.

     Presently, in this age of environmental consciousness when mass
mortalities of aquatic animals occur, one of the first causes to
be searched for is pollution.   This  is justified, of course, based
on documented evidences that water quality and aquatic ecosystem
stability have been lowered significantly in the last three decades
by increasing industrialization, population growth, and water misuse

     Thus, those of us who must consider health of aquatic species
have, on the one hand, infectious  diseases and, on the other, pollu-
tion of waters, coming together as one complex of environmental
factors that affect health in aquatic ecosystems. Impinging upon
       Contribution No.  219,  Gulf  Breeze Environmental Research Lab.

                                 261

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262                                     DISEASES OF AQUATIC ANIMALS
the complex of aquatic disease and pollution are, of course, other
environmental factors such as temperature, pH, salinity, oxygen
content, available nutrients, and agents of mechanical trauma.
These too must be considered in evaluating the health of an aquatic
species.

     Only recently has the possible interaction of infectious
diseases and pollutants, as environmental complexes, been seriously
consided as threats to aquatic life.  Snieszko (1972) has recently
reviewed fish diseases that are heavily dependent upon environmental
interactions.  His general summation could be applied to any group
of interacting environmental complexes, particularly infectious
diseases and pollution:

     Modern epidemiology is based on the premise that epidemic
     outbreaks are caused by an imbalance between the host, the
     pathogens or other disease agents and the environment.
     Aquatic cold-blooded animals are much more affected by the
     environment than are the terrestrial homeotherms.  Therefore,
     outbreaks of various diseases of fish are strongly affected by
     ecologic factors.

     The purpose of this paper is to give two examples of the detec-
tion of possible interactions between natural pathogens and chemical
pollutants in selected Gulf of Mexico, estuarine animals.  These
will include results of both experimental laboratory work and field
observations in the vicinity of Pensacola, Florida.

     Nimmo et al. (1971) have used pink shrimp (Penaeus duroarum)
(Fig. 1) as test animals in toxicity studies for several years at the
Gulf Breeze EPA laboratory.  Recently, Couch (1974a) described a new
virus in pink shrimp.  It was observed during light and electron
microscope studies of the hepatopancreas of toxicant exposed, control
and feral shrimp (Figs. 2,3).  The virus was found in hepatopancreatic
epithelial cell nuclei (Fig. 4), is rod-shaped, and is either free in
the nucleus or occluded in patent infections in crystalline inclusion
bodies that range from 0.5 ym to 20 ym in size (Figs. 5,6).

     The shrimp virus, named Baculovirus penaei by Couch (1974b), is
considered to be a nuclear polyhedrosis virus because it shares many
characteristics with the NPV or Baculoviruses  (subgroup A) of insects
(Wildy, 1971).  It is the first Baculovirus reported in a host other
than insects.  The virus occurs in feral pink shrimp and is enzootic
in populations of shrimp from Apalachee Bay, Florida and Santa Rosa
Sound, Florida.  It has been found most prevalent during the fall
and winter months, occurring in from 0-30 percent of shrimp in given
samples.

     Pink shrimp from natural populations with enzootic levels of
the virus have been used as subjects in toxicity tests of the PCB,

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Interactions Between Pathogens and Pollutants                   263


AroclorR 1254, and the organochlorine insecticide, Mirex.  Shrimp
exposed to 3 ug Aroclor/1 in_flowing  seawater for from 30 to  50
da'ya accumulated'up to 500 mg Aroclor/kg in their hepatopancreatic
tissues.  After approximately 30 days exposure, 50 percent of these
shrimp died (Nimmo et al., 1971).  From these series of tests, sur-
viving, exposed shrimp were examined histologically and 60 percent
were found to be lightly to heavily infected with the nuclear poly-
hedrosis virus.  Control shrimp were free of patent virus infections.
In another exposure test, conducted by Tagatz (personal communication),
38 percent of shrimp exposed to 0.01 to 0.23 yg commercial Mirex/1 of
flowing sea water for 30 days demonstrated patent virus infections.
Only 6.6 percent of control shrimp for this experiment showed patent
infection.  Mortality of shrimp in the Mirex exposure experiment was
81 percent, whereas the controls had only a 9 percent mortality.
Thus, the prevalence of virus infections in the chemically exposed
and control shrimp corresponded to the level of mortalities in those
respective groups.

     Another interesting finding has been that samples of pink shrimp
kept under abnormally crowded conditions for 30-40 days in aquaria
have shown 40-50 percent virus prevalence as compared to initial pre-
valence of 0-10 percent at onset of captivity (day one of holding
period).  This strongly suggests that the stress and proximity of
crowding for a period of time enhances or facilitates the virus
infection.  Transmission of the virus from individual to individual
via cannibalism in densely crowded aquaria or culture containers
should be expected.  In nature, even on fertile fishing grounds,
shrimp are rarely as densely found as under aquacultural or aquarium
conditions.  Further, in nature dilution of infective stages of the
virus by several factors (water volume, predation of infected shrimp
by non-shrimp predators, etc.) would be greater than in closed less
voluminous, artificial systems.

     Therefore, as an example of a model system, we have the
apparent enhancement of the prevalence of a Baculovirus by certain
potential environmental factors, including chemical pollutant stress
(PCB's and Mirex) and crowding.  A similar model system of inter-
actions between a toxicant chemical and a virus for higher vertebrates
was presented by Friend and Trainer (1970), whose research demonstrated
enhancement of duck hepatitis virus by polychlorinated biphenyls.

     Numerous casual and careful observations of natural, aquatic
ecosystems have led  us to believe that where one finds chronic low
level pollution (both natural nutrients and synthetic chemicals),
one also observes increasingly frequent epizootics of certain
diseases and a .gradual increase in prevalence of certain pathogens
in stressed hosts.  This is not true, however, for every pathogen
since some parasites may be adversely affected by the pollution as
much as, or more than, their hosts.  Each disease agent-pollutant

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 264                                    DISEASES OF AQUATIC ANIMALS
complex must be considered separately as well as part of more compli-
cated, larger systems.

     Over the last 10 years, we have observed in Escambia Bay, Florida,
high prevalence of fin rot syndrome associated with mortalities  in
croakers (Micropogon undulatus) and spot (Leiostomus xanthurus)  during
periods of warm weather and oxygen depletion.  Escambia Bay has  been
contaminated with the PCB, Aroclor 1254, for several years (Duke et-al. ,
1970) and is a rapidly eutrophying system.  Although we have not
attempted to isolate pathogens from healthy or moribund fish, the
patterns of disease and their seasonal occurrences strongly suggest a
bacterial etiology.  In this regard, Schwartz (1974) found that  the
bacteria Aeromonas and Pseudomonas, representative well-known fish
pathogens, were found in higher prevalences in fish from Clear Lake,
Iowa, in warmer seasons than in cooler seasons.   In the laboratory
during warming months of the year (April through June), we have  been
able to induce fin rot syndrome, identical to that in fish from
Escambia Bay, in up to 90 percent of spot exposed to 3-5 yg/1 of
Aroclor 1254 (Couch, 1974c).  This fin rot was associated with high
mortality (80 percent), but again, no attempts were made to isolate
a bacterial pathogen.

     Thus, there is strong empirical and circumstantial evidence
which suggests that interactions between natural pathogens and pollu-
tants probably occur (Snieszko, 1974).  Further research must determine
the extent of the threat of such interactions to aquatic life and
ecosystems.  The Gulf of Mexico and its northern and eastern estuaries
provide numerous natural sites for study of such interactions.
                         LITERATURE CITED

Couch, J.  1974a.  Free and occluded virus, similar to Baculovirus,
     in hepatopancreas of pink shrimp.  Nature 247:229-31.

Couch, J.  1974b.  An enzootic nuclear polyhedrosis virus of pink
     shrimp.  I.  Ultrastructure, prevalence, and enhancement.  J.
     Invert. Path, (in press).

Couch, J.  1974c.  Histopathologic effects of pesticides and related
     chemicals on the livers of fishes.  In The Pathology of Fishes.
     Univ. of Wisconsin Press (in press).

Duke, T., J. I. Lowe, and A. J. Wilson, Jr.  1970.  A polychlorinated
     biphenyl (AroclorR 1254) in the water, sediment, and biota of
     Escambia Bay.  Florida Bull. Environ. Contam. and Toxic. 5:171-80.

Friend, M., and D. 0. Trainer.  1970.  Polychlorinated biphenyl: inter-
     action with duck hepatitis virus.  Science 170:1314-16.

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Interactions Between Pathogens and Pollutants                   265
Nimmo, D. R., R. R. Blackman, A. J. Wilson, and J. Forester.  1971.
     Toxicity and distribution of Aroclor 1254 in the pink shrimp
     Penaeus duorarum.  Marine Biology 11:191-97.

Schwartz, J. J.  1974.  Prevalence of pathogenic pseudomonad bacteria
     isolated from fish in a warmwater lake.  Trans. Amer. Fish. Soc.
     Vol. No. 114-16.

Snieszko, S. F.  1972.  Progress in fish pathology in this century.
     Symp. Zool. Soc., London 30:1-15.

Snieszko, S. F.  1974.  The effects of environmental stress on out-
     breaks of infectious diseases of fishes.  J. Fish Biol. 6:197-208,

Wildy, P.  1971.  Classification and nomenclature of viruses.  First
     report of the international committee on nomenclature of viruses.
     Monographs in Virology 5:1-81.

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266
                                     DISEASES OF AQUATIC ANIMALS

iewpf pink shrimp (Penaeus duorarum)
Sal cut
     Figure 1.   Dorsal  view
                with  dorsal  cuticle removed to show hepato-
                pancreas  in  situ  (arrow).
                          ^L    ~   •*
                        %**
                                    . -

            *
                                 \
                                         *.'
                                    %
     Figure  2.   Cross  section of shrimp hepatopancreatic tubule
                or  acinus  showing epithelial cell nuclei con-
                taining  triangular baculovirus inclusion
                bodies (usually one per nucleus if cell is
                infected;  arrows); normal nuclei are small
                with prominent nucleoli (820X). Feulgen,
                picromethyl blue stain.

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Interactions Between Pathogens and Pollutants
267

    Figure 3.  Fresh squash preparation of end of hepatopancreatic
               acinus; note single patently infected cell with
               large inclusion body that has the form of a
               tetrahedron  (820X).  No stain.
                              f     -


                                      ,
                                                      •v
    Figure 4.  Section of hepatopancreatic epithelium  showing  cell
               with viral inclusion body  in nucleus  (arrow).
               (1230X)

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                     DISEASES OF AQUATIC ANIMALS
                    'N
                      \
                       ,v,y

ri^fis^f
  jtf&fty^   '  ;";_-  ,/  *
*••.         ,"    ^ x
       ":    |^-         r-
   1    -,:;,X    •
       /
  Figure 5.  Electronmicrograph of virus infected hepato-
        pancreatic epithelial cell from PCB-exposed
        shrimp; note triangular section of virion-
        containing inclusion body in infected cell;
        note virions free in nucleoplasm (arrows).
        Compare normal cell (nc) with infected cell
        (7800X).
             *
  Figure 6. Higher magnification of inclusion body in shrimp
        cell. Note virions in longitudinal and in cross
        section embedded within matrix of characteristic
        triangular inclusion body (15,400X).

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CONTRIBUTION NO. 220

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      Ultrastructural and Protargol Studies of
Lagenophrys callinectes (Ciliophora:  Peritrichida)
                       JOHN A. COUCH
            Copyright 1973 by the Society of Protozoologists
            Reprinted from THE JOURNAL OF PROTOZOOLOGY.
                 J. PROTOZOOL., 20(5), 638-647  (1973).
                 Made in United States of America

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J.  PROTOZOOL.  20(5), 638-647  (1973).


             Ultrastructural  and  Protargol Studies  of  Lagenophrys  callinectes*

                                            (Ciliophora:   Peritrichida)

                                                     JOHN  A.  COUCHJ

                     U.S. Environmental Protection Agency, Gulf Breeze Environmental Research Laboratory,§
                                               Gulf Breeze, Florida, U.S.A. 32561


     SYNOPSIS.   Ultraotructural and protargol studies reveal that the trophont of Lagenophrys callinectes, though highly spe-
     cialized,  generally conforms to the basic peritrich structural pattern.
       Features described for L. callinectes trophonts  which are  unique for  the genus  are the fine  structure and arrangement of
     the lorica and lips, the  attachment  organelle of the peristomial  cytoplasm,  its attachment to the loricastome walls,  and  the
     arrangement of  the aboral kinetosomes  of the  trophont. Lack  of a distinct  scopularized region, and of a ventral lorica wall
     also characterize L. callinectes trophonts.
       The 4-row  terminal peniculus, as revealed by  protargol staining, differs from  the 6-row  terminal peniculus of L.  nassa
     suggesting  that the patterns of infundibular structure,  as revealed by protargol, should be useful in  future taxonomic studies
     of Lagenophrys  species.

     Index Key Words: Lagenophrys  callinectes; ultrastructure; protargol; peritrich;  morphology; infraciliature; lorica; kineties.
    RESULTS of electron  microscope (EM)  studies  have been
     published on the trophonts of the  following genera of ses-
siline,  stalked peritrichs:   Campanella  (7);  Opercularia  and
Vorticella  (1, 16);  Zoothamnium  (1,  8);  Epistylis (8, 16);
and  Carchesium (8, 16,  23).  Work on members of the stalk-
less, but sessiline genus Scyphidia was recently completed  (13),
having been  preceded by work on a possible scyphidian species
in the genus  Termitrophrya  (14).  Nonsessiline,  free-swimming
peritrichs studied by EM have  been  Opisthonecta  henneguyi
(1)  and Telotrochidium sp. (14).
  * Much of this work was done while the author was employed
with the National Oceanic and  Atmospheric Administration, Na-
tional  Marine  Fisheries Service, Biological Laboratory, Oxford,
Maryland.
  * Great appreciation is here expressed to Dr. Frank  Perkins for
his  generous advice  and  guidance  in the use  of the electron
microscope.  Drs. R.  B. Short,  John Corliss,  and  Eugene  Small
read and constructively  criticized  portions of the paper.
  § Associate Laboratory of the  National Environmental Research
Center, Corvallis, Oregon.
  Protargol-silver  staining studies  of representative  species  of
peritrichs have been  reported by earlier workers (4-6,  12,  23,
24). To date, however, transmission  EM studies of  the highly
specialized, loricate, peritrich genus Lagenophrys have not been
published while the protargol studies of this genus  have been
brief  (4, 5, 12).
  The purpose of  the  present  paper is to  describe  aspects  of
the ultrastructure  of  Lagenophrys callinectes  Couch,  1967,  a
commensal  on the  marine  blue  crab,  and  to   give results  of
further protargol studies on  the trophont  of  this species.

              MATERIALS AND METHODS
  The blue crab  (Callinectes sapidus Rathbun, 1896), host of
Lagenophrys callinectes, was collected by means of traps, nets,
and trawls. Blue  crabs are  euryhaline and  are usually found
in  estuarine  and  coastal  waters ranging  from fresh-water  to
oceanic salinities (22). I  have found L. callinectes on the gills
of blue crabs from Chesapeake  and Chincoteague Bays in Mary-
land and Virginia, coastal estuaries of North and South Carolina,

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                                           EM AND PROTARGOI. STUDIES OF A PERITRICH
639
                                             All figures are of Lagenophrys callinectes.

  Figs.  1-8.  [Hematoxylin (Figs.  1,  2)  and  protargol  (Figs.  3-8) preparations of trophonts.]  1. Solid line  represents long axis  of
organism;  broken line represents  plane  of  asexual division.  Hi, hiatus: PC, peristomial cytoplasm, x  1000. 2.  Longitudinal section
on both surfaces of gill lamella of blue crab.  L, lorica.  X  1000. 3. Lips and lorica  outline.   A, lorica  aperture;  L, lorica;  LA, lips
around lorical aperture.  X  1000.  4. Trophont with important  cytoplasmic  structures.   AK,  aboral  kinety;  C,  cytostomc;  CVO,
contractile vacuole orifice;  Cy,  cytopharynx; Inf.  infundibulum: Ma, macronucleus; Mi, micronucleus;  My, myoneme.  X 1600. 5,  6.
Mirror image views of adoral  kineties of trophont. AK, aboral kinety; H, haplokinety; PO, oral polykinety.  X  1400.  7. Polykineties
(PI, P2)  and  aboral  kinety  (AK).   X  2000. 8.  Peniculus  (Pn); note  4 terminal kineties. X 2000.

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640
EM AND PROTARGOL STUDIES OF A PERITRICH
                            "     —PC
   Fig. 9. Scheme of L.  callinectes infraciliature. Mirror image of
 Figs.  1,  4, 5, 7,  8.  Same orientation as  Fig. 6.  Protargol.  AK,
 aboral kinety; C,  cytostome; Cy, cytopharynx; CyT, cytopharyngeal
 tube; ED, epistomial; GK, germinal kinety; H, haplokinety; Inf,
 infundibulum;  My, myoneme;  PI, P2,  P3, polykineties one, two,
 and three;  PC,  peristomial cytoplasm; PO, oral  polykinety; PS,
 peristomial space; S, "S-belt"  of  Lom.
 Georgia, and Florida; and the Gulf of Mexico near New Orleans,
 Louisiana  and  Pensacola, Florida. Salinities of collection sites
 ranged from 10% to 35%*.
   To  prepare  L. callinectes for microscope  studies, the  dorsal
 carapace of the host was removed; branchiae were removed and
 individual  lamellae  cut  from  them.  For short-term  study,
 lamellae were  placed in drops  of seawater on slides  with  No. 1
 coverslips  directly   applied.   For  long-term  observation  the
 lamellae were placed in seawater under No.  1 coverslips mounted
 on fragments of coverslips  to  prevent crushing  the  ciliate.
   Infested  gill  material  was  fixed  in  Bouin's  or  Davidson's
 (20)  fixative   for  treatment  with  protargol  silver,  modified
 method (10),  and  subsequent study of the morphologic  and
 morphogenetic  aspects  of the  infraciliature  of  different  stages
 of L.  callinectes.  Lom  (12) reported  that the protargol method
 is far superior  to  any  other (including Klein,  Chatton-Lwoff)
 for  the difficult job  of  impregnating  the   well  protected  in-
 fundibular infraciliature of  peritrichs. Materials  fixed as above
 were also stained with Heidenhain's iron hematoxylin for general
 cytology. Infested gill lamellae fixed  in Schaudinn's fluid were
 Feulgen stained.
   For EM  studies  heavily infested  pieces of  lamellae were
 teased apart into portions less  than 1 mm2   These  pieces were
 fixed  in  2.5%  (v/v)  glutaraldehyde  for  1  hr,  washed  in  0.2
                       M  Millonig's  phosphate  buffer  for  45  min  (3  changes)  and
                       postfixed  for  4  hr in  1%  (w/v)  OsO4  buffered in  0.4 M
                       Millonig's phosphate buffer. The lamellar fragments were then
                       dehydrated in alcohol and  embedded in Durcupan  ACM. Sec-
                       tions  were  cut  with  an  LKB  ultramicrotome,  mounted  on
                       Formvar-coated  grids,  and stained  in  Reynolds'  lead  citrate
                       (17)  for  15  min and  2%  (w/v)  aqueous  uranyl acetate for
                       4-5 min.   The  stained  sections were  examined  and  photo-
                       graphed in a  Hitachi HU-11B electron microscope.
                         Many terms used in this work concerning ciliate taxonomy,
                       biology, and structure  are defined  by  Corliss   (2)  and  Kane
                       (11).
                         All  measurements are  in  micrometers  unless  otherwise
                       stated.
                                                RESULTS
                         General  Form.—Lagenophrys callinectes  lives in a  colorless,
                       transparent, hemispherical  lorica attached  to the gill lamellar
                       surface of the blue crab.  The lorica wall is ~0.2-0.4 thick and
                       48-57  wide  (Figs. 1, 2).  The aperture of the lorica is 9.1-11.4
                       wide  and  is surrounded  by 2 anterior  and 2 posterior lip ele-
                       ments; the anterior ones  are very unequal  in size,  whereas the
                       posterior ones are equal  in size (Fig. 3).  These lips are easily
                       seen since they are opaque  in the living as well  as in the fixed,
                       stained animal.  The form  and relative size of the  lip elements
                       comprise the most important features available for identification
                       of L.  callinectes.  The living animal is able to flex its peristomial
                       cytoplasm, opening and  closing the  aperture   by  pulling the
                       posterior lips  together  and then apart.
                         The alimentary complex (Figs. 4-9)  of L.  callinectes in con-
                       tracted specimens begins  in the peristomial space, which as used
                       here  is  the region  surrounded by  the contracted  peristomial
                       cytoplasm  of  fixed  specimens.  This  space  includes what  some
                       would call the  buccal  cavity,  but  it does  not  include the  in-
                       fundibulum (Figs.  9, 15).  The  floor of the peristomial space
                       is made up of the epistomial disc surrounded by the oral kinetics
                       (Figs. 5,  6).   These kinetics  lead  to  the  infundibulum  (Fig.
                       9)  which spirals down to  the  cytostome, which opens  into the
                       ampulla-like  cytopharynx.
                         The relatively long  cilia that surround  the   protrusible  epi-
                       stomial disc  are visible  in  the living  animal both when it  is
                       feeding with an  extruded adoral apparatus and when  the disc
                       is   retracted  with  the   aperture  closed.   Individual  feeding
                       trophonts  have  been  observed in  salinities  of  17%c,  forming
                       food  vacuoles in the region of  their cytopharynx at the ra.te of
                       one every  2  min for up  to 8-10 min, after which  feeding  may
                       cease for  long periods.
                         The cytoplasm  of living trophonts  may  contain  a  few or
                       many food vacuoles.  In  trophonts stained with iron  hema-
                       toxylin, food  vacuoles  often appear basophilic  and when  ex-
                       amined closely  appear to be filled  with small  basophilic rods.
                       These are probably bacteria upon which the peritrich feeds.
                          The contractile  vacuole is  associated with  the side  of  the
                       cytopharynx immediately  beneath  the  base  of  the  epistomial
                       disc in both living and  fixed,  stained  specimens.  The vacuole
                       empties into the ampulla of the cytopharynx (Fig.  4).
                          Portions (rarely all)  of the macronucleus are visible in living
                                                                                                                              -#
   Fig.  10. Anterior  and slightly lateral section of trophont; note the myonemal mass that makes up  one of the  lateral  shoulders of
 peristomial cytoplasm.   ALsW; anterior  loricastome wall; LA, lips around lorical aperture;  Ls, loricastome; Mt, mitochondria- My
 myoneme; PC,  peristomial  cytoplasm;  PLSW, posterior loricastome wall. X  11.250.                            '              '
   Fig.  11. Posterior  or aboral region of  lorica; arrow  indicates point  where lorica material  disappears; note remnants of prokaryotic
 organisms (bacteria?)  within lorica  (L).  AL, amorphous layer.  X 12.500.

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                    EM AND PROTARGOL STUDIES OF A PERITRICH
641
-   ^--v.



                                            V*
                                        '   •-*-
                                              ..'•-
                                       M
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642
                                          KM AND PROTAROOL STUDIKS OF A PERITRICH

     ECu     Cu

#*!   :**'
                   12
                                    N^ftfefapjiM
                                                  13
  Figs.  12,  13.  [Cuticle  of uninfested  (Fig.  12)  and infested
(Fig.  13) crah  gill lamellae.  Cu.  crab  gill cuticle; ECu, crab
gill  epicuticle. I  12. Note  absence  of lorica above  epicuticle layer.
X 47,500.  1.3.  Lorica  is absent above epicuticle layer and beneath
trophont.  Dark  bodies above epicuticle are  remnants  of bacteria.
X  64,750.
iriiplionls.  The micronucleus  usually  cannot be  observed with
bright  field microscopy  in  living animals.   In iron-hematoxylin-
stained specimens macronuclei vary from short rod! ike and reni-
fonn  to  L,  U. or C shapes.  The small micronucleus  is usually
niuiul  to ellipsoid,  from 1.7-3.4  in  diameter, and usually rests
along  the concavity  of  he  curved mncronucleus  (Fig. 4).
  A dense basopliilic rric'shwork  is distributed evenly throughout
ihe macronucleus, interspersed with  lacunae that contain round
basophilic  inclusions.  In  Feitlgen preparations  the  evenly dis-
tributed  material,  corresponding  to  the  basophilic   moshwork,
is  positive  for DNA,  whereas  the  basopliilic  inclusions arc
Feulgen  negative  and not  visible.
  Lorica,—Ultrathin sections were cut parallel  to the long axis
of the soft body and lorica  of L.  ctiUhicclcs (see Figs.  1, 2,  10,
11  for orientation).  The  lorica wall  is slightly  variable  in
thickness  (0.1-0.4),  being  thickest inid-dorsally  and  at  its point
of attachment to  the cuticle of  the  host (Fig.  11).  The lorica
does not appear to  extend beneath  the  soft body of the ciliate
to' form  a complete ventral  wall, as  described  in light  micro-
scope  studies  for  certain species  of  Lagenophrys,  like /.. mcta-
ftauliadis (3).  Instead,  the inner  portion  of  the  lorica wall
where  it meets the  host cuticle, appears to  extend inward over
the host cuticle for a few  jj.m,  gradually decreasing in thick-
ness, until it  becomes imperceptible   see  arrows Figs.  11,  19).
The rigid portion of the laminated gill  cuticle  of the crab host
is  divided  into  2  major  layers:  a  very  thin  epicuticle (0.1-
0.3, Fig. 12) and  a  much  thicker  layer  (beneath  the epicuticle)
that may range 1-1.5 (Fig. 12). These layers are illustrated from
sections of gill cuticle both free of and infested  by L. callincctcs
:. Figs.  12,  13).  Therefore,  the  nature of the  gill  epicuticle
layer with  and without  L. callincclis  can be  determined.   It
appears  that  the area  of  host  cuticle  midvcntral  to  attached
L.  callinectes  has no  discernible layer on  the epicuticle  that
could be ciliate-contributed  (Fig.  13).
  An  amorphous, granular  layer  of material  was  found  be-
neath  the  lorica wall  (Fig.  11).  Toward the  point of attach-
ment of the lorica, where the  wall  thickens considerably,  there
appears  to  be an increase  in  density  of  the  amorphous  layer
and a  gradual integration  of  the  granular  material  into  the
thickened peripheral buttress of the wall where it  attaches to
the  host  cuticle  (Figs.  10,  11).
  The1 borders of the aperture  of the lorica arc formed by the
specialized  lorica  extensions previously called lips  (Figs.  3,
10).  Uneven  folds in  the  lorica  are thrown up in  the regions
anterior, lateral, and posterior  to  the lips (Fig. 10).  From the
region of these folds, the lorica  wall is expanded upward around
the aperture to reach electron-opaque crests (the lips) that are
apparent  in thin sections  (Fig.  10).  The  wall of the  lorica
plunges  down from  the apex  of  the crests to  form  the  inner
tube or loricastome of Kane (10)  (Fig.  10).  The  walls of the
loricastomc extend  downward  to  contact the pcristomial cyto-
plasm of the  trophont.  Electronmicrographs of sections of the
lips obtained  in this study reveal little  about  the  actual topog-
raphy (Fig. 3) of the  different lip  elements.
  The'  relationship  of the  trophont  of  L.  callincctcs to  its
lorica  is schematized in Figure  19.
  Pcristomial  region  and  pellicle.—The  posterior  loricastome
wall  is  folded  immediately  before  making  contact  with  a
specialized  dorsal rim  of peristomial pellicle  and cytoplasm of
the  trophont  (Figs. 15,  16, 19).  This specialized  pellicular-
cytoplasmic  organelle  appears  to be of  paramount importance
in  the attachment of the trophont  to its lorica.  I   can find no
comparable peritrich organelle  described in the literature;  there-
fore  it is designated  here   as   the  attachment  organelle.  The
structure is  1  /xm or  less wide (in section)  and  extends  out-
ward  and upward  as  a semi-V  form  of folded  pellicle  filled
with cytoplasm  that  is  continuous  with  the peristomi.il  cyto-
plasm  (Fig.   16).  Partial   reconstruction  (composite) of  the
posterior  loricastome-peristomial complex from available serial
sections  suggests  that the extremity of  the  posterior loricastome
wall  is attached  to the1 organelle along the entire  dorsal  width
of  the peristomial  region  of the  trophont  (Fig.  15),  forming
a  firm but  elastic relationship  between  the  trophont and its
lorica.
  The  anterior loricastome  wall  attaches to the left  and  right
shoulders of the  peristomial  cytoplasm  (Figs.  10,  19), but only
with ils extreme left  and right edges.  Thus  a small  anterior
hiatus  (Figs.  1,   15,  19)   exists between  the left  and  right
shoulders  of  the peristomial  region,  anterior to  the  frontal
portion  of the  anterior loricastome wall  edge, and  the  oral
opening of  the  trophont.   This  hiatus is  apparent with  light
microscopy  (Fig. 1)  and   provides  the  telotroch  an  escape
hatch  to the lorica aperture.
   In the peristomial c ytoplasmic  region  is a  mass of muscle-
like fibers  lhat  correspond  in  their fine'  structure  to  the- con-
tractile  myofibrillar system or  "myoi'de"  described  for  other
peritrichs  (I,  7,  13).   These  protargol-positive  myonemes are
concentrated   mostly  in the right  or  left shoulders  of  peri-
stoinial  cytoplasm  (Fig.  10).  However,  they extend  across
the whole  dorsal width  of  the'  trophont  as  a band, subtend-
  Fig. 14. Section through  infundibulum  (Inf)  and ncphridial  region  or spongiome;
projecting  crests  (Cr)  of  infundibular wall.  CV. contractile vacuole: NS. nephridial s
                                                                                     note  bacteria  (Ba)  in  infundibulum,  and
projecting crests  (L:r) ol mtundihular wall.  L.v. contractile vacuole:  IN a. nepnricuai system.  X  19,375.
  Fig. 15. Longitudinal  section  of aboral region,  pcristomial  space   (PS)  attachment organelle (AO), and epistomial disc  (ED).
H. haplokincty; Hi. hiatus: Ls. loricastome: PO,  oral polykinety.  X  9.350.

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EM AND PROTARGOL STUDIES OF A PERITRICII
                                                                          643

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644
KM AND PKOTARCOL STUDIES OF A PERITRICH
                   ALsW
  Fig. 16. Higher  magnification of adoral region and  attachment organelle.  Compare  relatively  small region of  myonemes  (my)
subtending attachment  organelle (AO)  in  this figure to  larger myonemal  structure in  lateral  shoulder of peristomial cytoplasm  in
Fig.  10.   ALsW,  anterior  loricastome  wall;  Ls.  loricastome;  PLsW. posterior lorieastome wall.  X  38,250.
ine;  hut  not  entering  the  attachment   organdie  (Fit;.  16).
The  myonemes  have  a  fine  slnicture  and  system  of  canals
("laciinos")  similar  to  that possessed by  tlie "myoi'des cndo-
plasmiques''  described  for  the  sphincter  collar  of  ]'nrlicclln
campanula (7).  The peristomial myonemes of L. callincclcs are
organized  into  such  a  specialized subpellicnlar  organelle,  and
probably  function  as  a  muscle  to  open  and close  the aperture
of the  lorica as well as a  sphincter  to  close the  oral opening
of the  trophont.   This  myonemal organelle corresponds  topo-
graphically  to  the contractile  portion of  the sphincter collar
described with  light  microscopy for  Pyxicola nolandi  (9).
  The  oral opening  of  the contracted trophont  through which
adoral  cilia  are protruded  with the  epistomial  disc  when  the
                       animal is feeding,  lies  at I he bottom of the tube formed by the
                       loricastome walls (Figs. 15, 16, 19).
                          The  pellicle  of  the trophont  of L. callincctcs consists  of  3
                       unit membranes (''3-ply" pellicle, Refs.  13,  15).  The arrange-
                       ment of the pellicle layers of L. callincctes differs from  that of
                       Scyphidia  ubiqniiti (13), but  somewhat  resembles the arrange-
                       ment reported  for S. inrlinata  (13).  The 3 membranes of the
                       pellicle of L. callincctcs overlie  one another closely  so that no
                       well developed, rigid, pellicular alveoli  are apparent between
                       the  outer  membranes  and  the  inner  one and its  thin  under-
                       lying epiplasm   (Fig.  17).  Thin  spaces  do exist between the
                       outer and  the inner membranes, but  these spaces are  apparent
                       only along  certain  regions of the trophont's body  surface.
   Fig. 18. Higher magnification  of adoral region.
polykinety. X  H.375.
         Note  myonemes  (My)  beneath epistomial disc (ED). H.  haplokinety; PO, oral

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EM  AND PROTARGOI. STUDIES OF A PF.RITRICH
                                                                                                                              645
                    .
                           *.,..
  Fig. 17. Dorsal surface with 3 unit membranes  (I, II,  III)  of
pellicle, the  epiplasm   (Ep)  underlying  membrane III,  and  the
alveolar space (Al) between membranes II and III.  X  152,500.
                          There  are  no kinetosomcs directly and intimately associated
                       with the outer body (nonoral) pellicle of L. caltinectcs trophonts,
                       nor is  there  an obvious  arrangement  of  the  pellicle  into spe-
                       cialized scopnlar areas  as reported  for Scyphidia (13, 14), and
                       stalk  forming peritrichs  (6).   A single row of  barren  kineto-
                       sonies  dues  exist,  however,  in  an  aboral ventral  snbpellicular
                       position corresponding  to the  infraciliaturc  of  a trochal  band
                       or  peitinellar fringe  in other  peritrichs  (1, 13).  Lacking  are
                       subpcllicular  nnuue.nes that have  been commonly  reported  in
                       oilier  works  <>n  perinich nltrasiriicture  (7,  8).
                          PcristinninI tpace, inlunilihuhim and  cyti>/>li and  18 arc from  a  longitudinal section of the
                       tropbiint,  and  show  the natnie  of the  perislomial  space and
                       adjacent structures.   At the base of  the  peristomial space  lies
                       I hi' epistoniial disc  surrounded  by the1 haplokiiietv and  poly-
                       kinety  (Fig.  18).
                          Underlying the  epistoniial disc  is  a large  but discrete mass
                       of myonemes (Fig.  18). Their  ultrastructural detail  is similar
                       to  the  "myoi'de endoplasmique  retracteur" of  the epistoniial
                       disc of O/ifirtilaria  articulala  (7). The'  disc  myonemes appear
                       to  be  associated closely with ciliary rootlets  of the  oral ciliature
                        (Fig.  18).  It is probable that  these  myonemes  function  to ex-
                       trude  or retract the  epistoniial disc  and  buccal ciliature  in 71,.
                       callhiectcs as they were thought to  do in O.  articultila (7). This
                       epistoniial  myonenie organelle  appears to  surpass in  develop-
                        ment  any comparable  structure in  .SVv/'/n'c/m,  Epistylis or O/ii.\-
                       thonccta.
                          The  haplokiiietv  and polykinety  are  visible in  section  on
                        either  side of the cpistomial disc  as they make their complete

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646
EM AND PROTARGOL STUDIES OF A PERITRICH
    ALsW
Hi
                                                            19

  Fig. 19. Scheme of  relationships-of lorica,  trophorit, and  blue
crab  gill  cuticle.   Arrows  indicate  approximate  points  where
ventral lorica  material ends.  A, lorica  aperture; ALsW, anterior
loricastome  wall;  Hi,  hiatus;  Ls, loricastome;  PC,  peristomial
cytoplasm; PLsW,  posterior loricastome  wall.
turns (360°)  around the disc before descending  into  the  in-
fundibulum.  They run  parallel  at  the  base of the peristomial
space  (Figs. 9,  18).  The haplokinety  is  composed  of 2  in-
timately associated rows of kinetosomes  external  to  the poly-
kinety.  The inner row  of  the  haplokinety is always  barren.
Thus,  the  ultrastructure  of  the  adoral haplokinety of  L.  cal-
linectes resemble  closely that  described  in Termitophrya (14)
and Opisthonecta  (1).   The  adoral polykinety consists  of 3
closely associated rows of kinetosomes (Fig.  18), thus also fitting
the general peritrichan plan.  A  row of "germinal" kinetosomes
running parallel  to the  haplokinety in the  infundibular regions
of  other peritrichs  (12), was observed  in L.  callinectes with
light microscopy  but  was not precisely identified in the present
ultrastructural  study.
  At the infundibular entrance the paths  of the adoral  haplo-
kinety  and polykinety  separate  (Fig.  9),  the  former running
down the  wall  of the infundibulum 100-180°  away  from  the
latter  until the  cytostome is reached.  This  was  determined
from  light microscope  studies  of  protargol-treated  specimens
in conjunction with EM observations.  The continuity of these
infundibular kinetics  is  best discerned by  examining figures  of
both  protargol-treated  specimens  (Figs.  5-8)  and  electron-
micrographs  (Figs. 15, 18). The adoral  polykinety (PI), con-
sisting  of  3  rows  of kinetosomes at the  entrance of  the  in-
fundibulum, is joined by parallel polykinety (P2)  of 3  kineties
just within the infundibulum  (Figs. 7,  9). These 2  sets form
the middle peniculus.   Unfortunately,  no  electronmicrographs
of the  terminal portion  of the peniculus  were obtained.  There-
fore,  the   following  description   of  its  structure  comes  from
the study  of protargol-treated specimens with  the  light micro-
scope.   Near  the  cytostome,  in  the lower quarter of  the  in-
fundibulum,  P2  terminates and  PI is  joined by  a  very con-
densed polykinety (P3)  to form  the end of the peniculus. The
exact number  of rows  of  kinetosomes  making  up P3  is  un-
known.  However, P3 appears, at its origin (with light  micros-
copy)  to  consist  only of 2 rows of kinetosomes.  At the very
end of the peniculus, P3 gives the  appearance  of  a single  row
(Figs.  8,   9).  Thus,  the number  of distinguishable  rows  of
kinetosomes making  up  the end of the  peniculus for  L.  cal-
linectes appears to be 4.
  The infundibular  haplokinety  terminates at  the  cytostome
at a point  close to, but  separate from the  end of the  peniculus
(Fig.  9).   Sometimes  visible is  a protargol-positive  beltlike
structure   that  runs   downward,  through  the  infundibulum,
parallel to the course of the  haplokinety (Fig.  9).  This  cor-
responds to the  structure described for L. nassa  which Lorn
termed  the "impregnable structure"  or  "S-belt"  (12).
  Higher magnifications  of sections of the infundibulum reveal
                       folds  of the wall  projected inward toward the  lumen  (Fig.
                       14).   These folds correspond  to  the infundibular "crests"  de-
                       scribed  for  Epistylis  (8)  and Opisthonecta  (1).  Often  sub-
                       tending these  crests are masses of  fibers that appear  identical
                       to  the fibers of the "filamentous reticulum"  described first in
                       the peritrich  Campanella  unbellaria  (18),  and  subsequently
                       found in Epistylis,  Vorticella,  Termitophrya, arid Opisthonecta.
                       According to  other  investigators  (1, 15) the reticulated fibers
                       beneath the  infundibular crests of peritrichs served to strengthen
                       or  reinforce the  infundibular  wall.  The crests  and associated
                       fibers probably correspond, to  the impregnable structure of  the
                       "S-belt"  of  Lorn  (as revealed  by protargol, Fig.  9).
                         No electronmicrographs  of  the  cytopharynx  and the  cyto-
                       pharyngeal tube of L.  callinectes were obtained.  However, these
                       organelles can  be observed in some detail in  good  protargol
                       preparations in the  light  microscope. The  cytostome  proper is
                       at  the approximate level of  the end of  the peniculus (Figs.
                       4,  9).  The cytopharynx  begins  there  as  an ampulla-shaped
                       vesicle whose  walls  are heavily protargol-positive  (Fig. 4).   In
                       certain protargol-treated specimens the ampulla region is greatly
                       distended, probably as a result of food vacuole formation at  the
                       time   of  fixation.  From  the   ampulla  a  long   narrow  cyto-
                       pharyngeal tube extends posterior and to the left (dorsal view)
                       and then curves anteriorly  forming  a U  shape.   This tube nar-
                       rows  gradually until it disappears in the  cytoplasm beneath  the
                       peristomial  region  of the  trophont,  ending  presumably  in a
                       cytoproct or cytopyge.
                         Bradbury  (1)  illustrated a  section through the cytopharynx
                       (tube) of Opisthonecta henneguyi in her ultrastructural study.
                       She observed  that  the wall of the  tube was made  up of,  or
                       surrounded by, a bundle of fibers,  which were not silver-positive.
                       As reported above,  an  analogous  structure  (the  wall of  the
                       cytopharyngeal tube) was found to  be heavily protargol-positive
                       in  L. callinectes (Fig. 4).  The difference here probably  resulted
                       from the different silver methods used. Bradbury  used the Chat-
                       tqn-Lwoff method, whereas I used the protargol  method which
                       stains the deep alimentary  structures of  peritrichs (12).
                        The presence of rod-shaped bacteria in  the deep infundibulum
                       and cytopharynx  of  some L. callinectes trophonts was  observed
                       (Fig.  14). The bacteria within the  cytopharynx were consistent
                       in  size (averaging 3 X 0.5) and  larger  than  other prokaryotes
                       often  observed within  the lorica cavity of both living and fixed
                       trophonts  (Fig.  14).  The  most  probable  explanation  for  the
                       presence  of  these bacteria in the alimentary system of L.  cal-
                       linectes  is that the trophont feeds on bacteria and was prepar-
                       ing to  ingest those  at the  time of  fixation.
                        Cytoplasmic organelles.—The very granular cytoplasm of  L.
                       callinectes contains many  mitochondria.   Mitochondria are most
                       abundant in the  peripherial cytoplasm of the trophont, except
                       in  the  peristomial region  where large numbers are found close
                       to  the myonemal  mass  (Fig. 10).
                        A  complex  system of tubules and canals is found  adjacent
                       to  the infundibulum  (Fig.  14).  The smaller tubules of  this
                       system range 19-20 nm diameter and run into larger canals that
                       range 70-80 nm in diameter (Fig.  14). There is little doubt that
                       the complex is identical  to the spongiome or nephridial  (ex-
                       cretory)  system  described  in  Epistylis  anastatica  (8), Para-
                       mecium caudatum (19), and P. aurelia  (19). The tubules and
                       canals of the nephridial system of L. callinectes  empty directly
                       into the  lumen of the contractile vacuole  (Fig.  14).
                        Aboral infracilialure.—Asi aboral  kinetal structure was found
                       in  all protargol-treated trophonts of L.  callinectes.  In  the vege-
                       tative  trophont   (nondividing)  this structure appeared  as a
                       curved row  of protargol-positive  bodies,  each of which is  1.0

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                                          EM AND  PROTARGOL STUDIES OF A PERTTRICH
                                                                                                                             647
X .05 (Figs.  7, 9).  These bodies appear, in the light and elec-
tron  microscopes,  to  be in  a  ventral, subpellicular  position,
extending  (dorsal  view)  in a  single row from the upper  in-
fundibular  region  posterior to  the  macronuclear-micronuclear
region and then curving anterior  to terminate just below the
myonemal  mass of  the  epistomial  disc (Fig. 9).  The bodies
that make up the structure are here designated as  barren kineto-
somes of the aboral kinety (=  infraciliature anlage of  trochal
band  or aboral ciliary  girdle).  Though  homologous  aboral
kinetics  have  been reported for  other peritrich  trophonts (1,  6,
13)  they have not  been reported for  any species of Lagenophrys
to date.  The evidence that these ab'oral bodies in the trophont
are indeed  barren  kinetosomes of a  trochal band anlage conies
from protargol, and morphogenetic studies  (5).  The  role that
these aboral kinetosomes play in the morphogenesis of  L.  cal-
linectes  is of  paramount importance,  particularly  in the forma-
tion of the locomotor girdles of the telotroch and microconjugant
stages (5).

                        DISCUSSION
   The trophont of Lagenophrys callinectes,  though  highly spe-
cialized,  essentially  conforms  to  known  peritrich form  and
ultrastructure. However, the present  study has revealed interest-
ing variations on the peritrich plan as well as several cytoplasmic
structural modifications  heretofore not reported.
   Organelles  possessed  by  L.  callinectes  and  found  in other
well-studied  peritrichs  are:   3-unit-membrane  pellicle;  peri-
stomial  sphincter  collar; myonemes  of the  peristomial  region
plus  retractor  myonemes  beneath the  epistomial  disc; haplo-
kinety,  consisting  of an  inner  barren  row  of  kinetosome  and
an outer ciliated row; polykinety,  consisting  of 3 parallel rows
of ciliated kinetosomes  all within  the outer  haplokinety;  in-
fundibular  crests  subtended  by a  filamentous reticulum;  and
nephridial  system  or "spongiome"   associated with  the con-
tractile  vacuole.
   The ultrastructure and arrangement  of the lips of the lorica
aperture, the  attachment organelle,  the loricastome walls,  and
the  arrangement of aboral kinetosomes  are unique for the genus
Lagenophrys  as revealed in the  trophont  of L.  callinectes.
   The lorica  of L. callinectes  appears to  be  a  hemispherical,
elastic,  protective  house  for the trophont.  It does  not  have a
complete ventral shelf,  and the soft body  of the trophont  lies
directly  above the  gill lamellar cuticle of the host. The chemical
composition of the  lorica is  unknown.  The  necessity for elas-
ticity of the  aperture region of the  lorica is demonstrated by
the  ultrastructural  relationships  of  the lips  of  the  lorica  aper-
ture, the loricastome walls, the attachment  organelle,  and  the
fact that the lips of the aperture are movable in  living  animals
 (opening and  closing motions). The  attachment  organelle  of
the  dorsal  peristomial cytoplasm appears to be a unique modi-
fication  of the Lagenophrys pellicle  region  for the attachment
of the trophont to its lorica.
   The number of  rows  of  kinetosomes  making up  the  terminal
peniculus  varies   among different  peritrichs.  Although  Lom
 (12)  stated  that  the uniformity  of the  buccal apparatus  of
peritrichs is strong among closely related species, it is apparent
from the present  study  that  the 6-row terminal  peniculus  (PI
and  P3) of  L. nassa,  as described  by Lom, differs  from  the
4-row terminal portion of the peniculus of L. callinectes. How-
ever,  the  4-row  terminal  peniculus  of L.  callinectes  appears
almost identical to the 4-row terminal  peniculus of  Carchesium
polypinum  as  described  by Zagon &  Small (24).  Lom (12)
further  described  up to 9 rows  of kinetosomes in the  terminal
peniculus  (PI, P2, P3) of Telotrochidium  sp.  This suggests
that  protargol  comparisons of other  species in the  large genus
Lagenophrys  [52 species reported  (21)]  would  be useful in
further species identification and characterization.
  The  lack  of  distinct  scopularized  regions in  L. callinectes
trophonts probably  reflects  the  high degree  of specialization of
members  of the  genus Lagenophrys, including  their  existence
within loricae, and  attachment  to their loricae  by adoral  cyto-
plasm rather than by aboral poles of the trophonts.

                        REFERENCES
  1. Bradbury, P. C. 1965. The  infraciliature and  argyrome of
Opisthonecta henneguyi Faure-Fremiet.  /.  Protozool. 12, 345-63.
  2. Corliss,  JT.  1959. An  illustrated key to the higher groups of
the ciliated Protozoa, with  definition of terms.  /.  Protozool. 6,
265-84.
  3. 	& Brough, I.  M..1965. A new species of Lagenophrys
(Ciliata:Peritrichida)  from  the  Jamaican  crab Metopaulias de-
pressus. Trans. Am.  Micros. Soc. 84, 73-80.
  4. Couch, J. A. 1967. A new species of Lagenophrys (Ciliatea:
Peritrichida:  Lagenophryidae)  from  a  marine  crab, Callinectes
sapidus. Trans. Am.  Micros. Soc.  86,  204-11.
  5. 	  1971.   Aspects  of  morphogenesis  in  Lagenophrys
callinectes  (Ciliatea: Peritrichida).  /. Protozool.  18  (Suppl.), 22.
  6. Davidson, A. L.  & Finley, T. E. 1972. A comparative study
of argentophilic structures in three peritrich  ciliates. Trans. Am.
Micros. Soc. 91, 8-23.
  7. Faure-Fremiet,  E.,  Rouiller, C. &  Gauchery, M.  1965.  Les
structures myoides chez les cilies. Etude au microscope electronique.
Arch. Anat. Micros. 45,  139-61.
  8. 	, Favard, P. & Carasso, N. 1962. Etude au microscope
electronique  des ultrastructures  d'Epistylis  anastatica  (Cilie,
Peritriche). /.  Micros. 1,  287-312.
  9. Finley, H. E. & Bacon, A.  L. 1965. The morphology  and
biology of Pyxicola  nolandi n.  sp.  (Ciliata,  Peritrichida,  Vagi-
nicolidae). /. Protozool. 12, 123-31.
  10. Honigberg, B. M.  1947. The characteristics  of  the flagellate
Monocercomonas verrens sp. n.  from Tapirus' rnalayanus.  Univ.
Calif. Publ. Zool. 53,  227-36.
  11. Kane,  J. R.  1965.  The-  genus  Lagenophrys  Stein,  1852
(Ciliata, Peritricha)  on Australasian Parastacidae.  /. Protozool.
12, 109-22.
  12. Lom, J.  1964. The morphology and morphogenesis  of the
buccal  ciliary  organelles  in  some  peritrichous   ciliates.   Arch.
Protistenk. 107, 131-62.
  13. 	 &  Corliss,  J. O.  1968.  Observations  on  the fine
structure of two  species of the peritrich  ciliate Genus  Scyphidia
and on their mode of  attachment to their host.  Trans. Am. Micros.
Soc. 87, 493-509.
  14. Noirot-Timothee, C. & Lom, J. 1965.  L'ultrastructure de
1'haplocinetie des cilies peritriches. Comparaison avec la membrane
ondulante des hymenostomes. Protistologica 1, 33-40.
  15. Pitelka,  D. R.  1969. Fibrillar systems in  flagellates and
ciliates, in Chen. T. T., ed., Research in Protozoology. Pergamon
Press, London  and New York 3,  279-388.
  16. Randall, J. &  Hopkins, J.  M.  1962.  On  the stalks  of
certain  peritrichs. Phil. Trans. Roy. Soc. Land. 245,  59-79.
  17. Reynolds,  E.  S. 1963.  The use  of lead  citrate at  high
pH as  an electron-opaque stain in electron  microscopy.  /. Cell
Biol. 17, 208-17.
  18. Rouiller,  C.  & Faure-Fremiet, E.   1957.  Ultrastructure
reticulee d'une  fibre  squelettique  chez un cilie.   /. Ultrastruct
Res. 1,  1-13.
  19. Schneider,  L.  1960.  Elektronenmikroskopische  Untersuchun-
gen iiber  das Nephridialsystem von Paramecium.  J  Protozool  1
75-90.                                                     '   '
  20. Shaw, B. L. & Battle, H. I.  1957. The gross and microscopic
anatomy of the digestive tract of the oyster.  Crassostrea virginica
(Gmelin). Can.  J. Zool.  35, 325-47.
  21. Sprague, V. & Couch,  J.  A. 1971. An annotated  list of
protozoan  parasites,  hyperparasites, and  commensals of decapod
crustaceans. /. Protozool. 18, 526-37.
  22. Williams, A. B.  1965. Marine decapod crustaceans  of the
Carolinas.  U.  S.  Fishery  Bull. 65,  1-298.
  23.  Zagon, I. S. 1970. Carchesium polypinum: cytostructure after
protargol  silver deposition. Trans. Am. Micros. Soc. 89, 450-68.
  24. 	  &  Small,   E.  B.  1970.   Carchesium polypinum:
somatic and buccal  structure  analysis  after  protargol  staining
Trans. Am. Micros.  Soc. 89, 443-9.

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CONTRIBUTION NO. 238

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               A Clinical Centrifuge Tube for Small Blood Samples-
   Occasionally, large amounts of whole -blood
are difficult to obtain for physiological studies.
Little blood is available when the animal is
small  (e.g. some fish and crustaceans) or when
blood  samples are  taken periodically  without
sacrificing the animal. It is often difficult to ob-
tain clear serum or plasma from  small blood
samples.  In  many  microanalytical procedures
 (e.g.  electrophoresis) only a few microliters of
serum are needed, but the serum must be free
of other blood components.  Because of this, a
simple and inexpensive  device  for separating
components of small amounts of blood in a clin-
ical-type centrifuge is described.
   To obtain separation of cells from serum in a
small  sample,  (e.g. one drop of blood)  a long
centrifuge tube  of small diameter is  needed.
.Usually a microcentrifuge or hematocrit centri-
fuge  is necessary to achieve separation. How-
ever, the cost of  these instruments makes them
impractical for  most  students and  some re-
searchers.
   The  device  illustrated  permits  routine cen-
trif ugation of  small blood samples in a  clinical-
type  centrifuge.  Materials used to modify the
plastic centrifuge  tube  are inexpensive and
readily available.
   The centrifuge tube l serves as a holder for
the sample tube made from a  disposable  Pas-
teur capillary pipet. The pipet is heat-sealed at
the tip, cut to an appropriate  length,  and the
end  fire-polished. A rubber medicine  dropper
bulb, inverted  in the bottom, cushions the tip of
the sample tube. The top of the sample tube is
  ' international Autoclear ®  Plastic Centrifuge Tube I. E, No.
1649 and corresponding polypropylene stopper, International Equip-
ment Co., Needham Heights, Massachusetts 02194.
         CUT AND HREPOLISH
             CUT 7mm HOLE
            S>   IN STOPPER
     «	 GLASS PASTEUR PIPET


     PLASTIC CENTRIFUGE TUBE -

        SEAL TIP OVER BURNER
              -*	MEDICINE
              DROPPER BULB
       BLOOD
      SAMPLE
ASSEMBLE
Clinical centrifuge tube adapted for small blood
                   samples.
retained by  a polypropylene  centrifuge tube
stopper l with a 7-millimeter hole at the center.
Other materials could be utilized to construct
a similar apparatus (e.g. an adapter for hepa-
rinized hematocrit tubes).
  Approximately 50 microliters  of blood is in-
serted into the sample tube with a syringe or
pipet. After  centrifugation  for  3 minutes  at
1,800 fir's one drop of blood is distinctly sepa-
rated into its components at the tip of the sam-
ple tube. Several microliters of  serum  can  be
removed for analysis using a capillary pipet or
a microliter syringe.
  —PATRICK  W. BORTHWICK, Department of
    Biology and Marine Sciences, The Univer-
    sity of West Florida, Pensacola, Fla. 32504.
  The author's present address  is U.S. Environmental
Protection Agency, Gulf Breeze, Fla. 32561, an affili-
ated laboratory of the National Environmental Re-
search Center,  Corvallis, Oreg. 97330.
    GB  238
184
           THE PROGRESSIVE FISH-CULTURIST
            36(3):  184. July  1974

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                  Bottle  Rack  for Primary Productivity  Studies
  Limnological  studies  on large  midwestern
reservoirs have required primary productivity
measurements  utilizing  the method  originally
developed by  Steemann-Nielson in 1952 (The
Use  of Radioactive Carbon for Measurements
of Organic Productivity  in the Sea. Journal du
Conseil, vol. 28, p. 117-140). For these studies
we needed a compact bottle rack sturdy enough
to withstand rough  water and inexpensive  to
construct. The rack  was designed to hold 300-
milliliter BOD bottles by the neck.
   A single rack consisted of a 12- by 2- by %-
inch  (30.5- by 5.1- by 1.9-cm) block of clear
plexiglass  with a %-inch  (1.9-cm)  diameter
hole drilled on center (see  diagram). On either
end of the rack medium size tool holder clips
have been  attached  using No. 10,  l^-inch
 (3.18-cm)  sheet metal screws. The ends of the
clips have been bored to  3/16-inch (0.5-cm) di-
ameter to accept 3-inch (7.6-cm) hairpin cotter
keys which secure the bottles in the clip. We
have found it desirable to sheath the clips with
short pieces of l^-inch (0.6-cm) ID Tygon tub-
ing  when  using aluminum-foil-wrapped dark
bottles to prevent accidental tearing of the foil.
   Metal  conduit i/^-inch  (1.3-cm)  ID  which
slides through the center of the rack is the sup-
port. A series  of holes have been bored through
the conduit so that the racks may be held at a
desired depth with the use of a 3-inch (7.6 cm)
hairpin cotter  key beneath the  rack. To increase
the depth capability beyond 10 feet  (3 meters),
additional conduit may be joined using smaller
diameter metal tubing for  a ferrule. The joint
is made by connecting these pieces with hair-
pin cotter keys placed in holes drilled through
the tubing and ferrule.  The rack may be as-
sembled  or disassembled  in  minutes  which
eliminates having to leave  the rack in the wa-
ter overnight  and discourages vandalism. Flo-
         ,-
          12" X 2" X %" clear plexiglass (3D.5 cm x 1.9 cm]
#10 I'/," sheet metal screw
(3.18 cm)   II
                           diameter (1.9 cm)


                               3/16" diameter (0.5 cm|
                           " hairpin cotter key (7.6 cm]
 medium size tool holder clip
     '/2" thin wall conduit (1.3 cm)
 Primary productivity bottle rack for 300-milli-
               liter BOD bottles.

 tation for the assembled  rack can be accom-
 plished by using buoys or styrofoam logs at-
 tached to another permanently anchored float
 or dock. We have found that a cylindrical mar-
 ker buoy with a hole through the center makes
 a satisfactory float and does not shade the racks
 to any appreciable degree.
  We have been using the racks all summer for
 nearly 700 sets without a broken or lost bottle.
 Lake conditions ranged from calm to extremely
 rough during exposure periods. Use of a small
 float and the length of conduit extending per-
 pendicular in the water makes this device ex-
 tremely stable  regardless of weather and lake
 conditions.
  Total cost  of four complete racks assembled
 on a 10-foot conduit was  under $8, excluding
 labor.
  —STEPHEN L. BUGBEE, THOMAS F.  LORENZ,
    and LEOTIS Mossy, Surveillance and  Anal-
    ysis Division, U.S. Environmental Protec-
    tion Agency,  25  Funston Road,  Kansas
    City, Kans. 66115.
VOL. 36, NO. 3, JULY 1974
                                                                                         183

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CONTRIBUTION NO. 242

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                       Cytopathology, Ultrastructure, and
                        Virus  Infection in Pink  Shrimp
                       Exposed  to  the PCB, Aroclor® 1254

                                      by

                       JOHN A.  COUCH and DELWAYNE R. NIMMO

                     U.S. Environmental Protection Agency
                 Gulf  Breeze Environmental Research Laboratory
                  Sabine Island,  Gulf Breeze, Florida  32561
               (Associate Laboratory of the National Environmental
                       Research Center, Corvallis, Oregon)

  Little information is available concerning the effects of pollutant chemicals
on the fine structure  of tissues  in aquatic invertebrates.  Even less is known
concerning possible interactions  of pollutant chemicals and natural pathogens
in commercially valuable invertebrate species.   In experiments at the Gulf
Breeze EPA Laboratory  we have  exposed pink shrimp  (Penaeus duorarmn) to 3 yg/£
Aroclor 1254 in flowing seawater  from 30 to 52 days.  During these exposures,
up to 50% or more of the animals  died.  Both living and dead shrimp were
analyzed for Aroclor residues  and, after 30 days exposure, were found to
accumulate from 33 mg/kg to 40 mg/kg in their hepatopancreatic tissues.

  Hepatopancreatic tissues from experimental shrimp (surviving the exposures)
and control and feral  shrimp were prepared for histology and electron micro-
scopy.  Light microscopic examination revealed that approximately 30% of the
exposed shrimp possessed intranuclear crystalloid inclusions in hepato-
pancreatic epithelial  cells.   Electron microscopy revealed that shrimp
possessing the crystalloid inclusions were infected by an intranuclear, rod-
shaped, free, and occluded virus  similar morphologically to the nuclear
polyhedrosis viruses (Baculovirus group) of insects.  To date, control and
feral shrimp have not  shown this  infection.

  Cytopathologic changes in hepatopancreatic cells of exposed shrimp consisted
of:   (1) proliferation and hypertrophy of rough  and smooth endoplasmic re-
ticulum in large numbers of cells; (2) loss of cytoplasmic density and struct-
ural integrity; and (3) formation of small vesicles in the nucleoplasm of
degenerating nuclei of cells showing the above cytoplasmic changes.   These
changes were not directly associated with virus  infection because infected
cells demonstrated several alterations apparently directly attributable to the
influence of the virus.  These changes were:  (1) hypertrophy of the infected
nucleus; (2) loss of chromatin; (3) proliferation of nuclear membranes, and
(4) production of crystalline  inclusion bodies containing virus rods.  Further
work concerning the possible interactions between organochlorines and the
shrimp virus is presently underway.
Gulf Breeze Contribution No. 242.

(Abstract).  Program of the Joint Meeting of
The Society for Invertebrate Pathology and
International Colloquium on Insect Pathology
and Microbial Control, p. 105. Oxford
University, England. (1973)

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CONTRIBUTION NO. 245

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     In:  Guidelines on sampling  and statistical methodologies for
     ambient pesticide monitoring.  Federal Working Group on Pest
     Management:  Washington, D.  C., Oct.  (1974). Chapter V, pp:  V1-V5.

                        CHAPTER  V  - ESTUARIES
                       Philip A. Butler,  Ph.D.*

The decision to monitor an estuary for pesticides may derive from
any one or several  specific needs.  These needs or objectives will
largely determine the  character  and modus operandi of the program.
Obviously, two  pesticide monitoring programs in the same estuary
might be entirely different because of the kinds of information
sought.  Estuarine  monitoring objectives may be for the purpose of
determining:

     1.  Background levels of an array of persistent waterborne
         pesticides by randomized  sampling of estuaries in a
         particular geographical area.

     2.  The escapement of pesticides in surface run-off from
         specific use  areas in the drainage basin by sampling
         deltaic sediments.

     3.  The cause  of  increased  faunal mortalities or lack of
         species diversity in an otherwise normal appearing
         estuary.

     4.  Tissue residue levels of persistent pesticides to ensure
         that they  are within legal tolerance levels for edible
         fish and shell fish or  their products.

     5.  Pesticide  residues in food chain organisms to alert resource
         management agencies of  possible mortalities resulting from
         trophic magnification.

     6.  Pesticide  residues in pre-spawning gonads of commercially
         valuable species to identify causes of change in
         productivity.

The choice of which physical or  biological elements are to be
monitored in an estuary will be  determined by specific program
objectives.

Water samples taken at infrequent  intervals or at limited points in
an estuarine system will usually be of limited value.  If the monitoring
program objective requires specific knowledge of pesticide residues
in the water, the guidelines enumerated in Chapter IV should be
followed for such samples as well as for sediment samples.

Sediment samples are useful in detecting persistent pesticides
in the estuary.  However, interpretation of their analyses requires
knowledge of particle  size, organic/inorganic composition, station
location with reference to current flow and similar data that frequently
are not readily available.  Sediments in shallow estuaries can be

*Contibutiorv No.  245,  Gulf Breeze  Environmental Research Laboratory, EPA
                               V - 1

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disturbed by storm conditions and their pollution burden may change
drastically in time of flood or drought without reference to pesticide
usage in the area.  Analysis of stratified estuarine sediments may
reveal unusual patterns of pesticide residue accumulation, but our
lack of information on aerobic and anaerobic degradation of persistent
pesticides complicates the interpretation of such sediment samples.
Carefully collected samples at the sediment-water interface along
the geographic axis of an estuary may be useful, however, in pinpoint-
ing up-stream sources of pesticide pollution.

The choice of a biological sample for monitoring the estuary is
determined largely by two factors:  is the form to be sampled migratory,
and what is its position in the trophic web?  Sessile or non-migratory
species, representing entire communities present obvious advantages
since they reflect pollution levels at specific locations.  Their
life style usually facilitates age determination and permits some
degree of bracketing of the occurrence of the pesticide pollution.

Many non-mobile species, e.g., molluscs and barnacles, are detritus
and filter-feeders.  Pesticide residues may be biologically retained
and magnified in their tissues and reflect the introduction of
pollutants into the lowest levels of the food web.  Such residues
suggest direct contact with pollution sources.  Residues in vertebrate
carnivores, on the other hand, are more likely to reflect trophic
magnification of persistent pesticides.  Fish-eating birds or mammals
not only concentrate but store for long periods compounds that
contaminate their diets.

Plankton offers several advantages as a tool for estimating levels of
pesticide pollution.  Its small particle size presents a relatively
large sorptive surface.  The cells are usually high in lipid content
and readily take up organochlorine compounds.  However, the rapid cell
division and growth rates favor dilution of tissue residues.  Also
the interpretation of data on pesticide residues in plankton may be
confused by the facts that plankton is a composite of living and dead
materials that contains varying amounts of silt and other inorganic
materials, and its moisture content" varies widely depending on the
components.  Plankton samples containing pesticide residues are
probably indicative of fairly recent contamination.  When samples
are taken at frequent intervals, they may be especially useful in
identifying pollution sources.

Crustacea, such as commercial shrimp, are generally one of the least
satisfactory groups to monitor because of their extreme sensitivity to
insecticides.  Both organophosphorus and organochlorine insecticides

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will kill crustaceans at concentrations in the parts-per-trillion
range.  Carbamates are somewhat less toxic to them and herbicides
generally are not toxic at concentrations likely to be encountered •
The net result  is that pesticide effects  on crustaceans
are likely to be an all-or-none affair and crustacean samples may
reveal little about relative levels of pesticide pollution in the
estuarine environment.

Molluscs (oysters, clams, and mussels) have special merit as bioassay
tools because of their sensitivity to synthetic organochlorine
pollutants present in the ambient water.  They detect and accumulate
these persistent pesticides to an astounding extent without being
themselves markedly affected by the pollution levels generally
encountered in estuaries.  Not all molluscs are equally sensitive and,
as with other bioassay animals, care must be exercised in comparing
pesticide residue levels between individuals and species.  Salt-water
mussels are especially useful as monitor species because of their
wide geographic distribution and their ubiquity over a broad range
of salinity regimes.

The chief objection to the use of molluscs lies in their rapid
metabolism of pesticide residues.  Although they can concentrate
pollutants in their tissues by a factor of 50,000 or more, these
residues are lost in a matter of days when the ambient water becomes
free of contamination.  Thus, oysters and mussels are monitor
animals of 'choice when sampling can be done on a monthly or more frequent
basis.  They are relatively useless in reflecting trends in environment
pollution when sampling can be done only once a year.

Fish are often the most convenient group to monitor because of their
availability from the commercial catch.   They are sometimes sensitive
to high pesticide  residues in their environment as evidenced by
massive fish-kills,  but may accumulate relatively large residues
and become pesticide-resistent when the concentration of a pollutant
is low.  Experimental work has shown that they accumulate pesticides
directly from the ambient water as well as from their food supply.
The interpretation of pesticide residue data in fish is difficult
unless their life history is known.

Fish are highly selective in their diet and may accumulate small or
large pesticide residues in polluted estuaries, depending on their
food supply.  Plank ton-feeding or herbivorous fish tend to have
significantly lower pesticide residues,  for example, than carnivorous
species that feed on small fish in the same estuary.  Populations
of even the same species of fish may have quite different diets in
two different estuaries.   Comparison of pesticide residues in these
two populations could be very misleading if their food habits are not
known.
                               V  -  3

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Fish store organochlorine residues primarily in tissues having a
high lipid content.  Such residues accumulate as the fish age but
may diminish sharply at spawning or in starvation periods when
stored body fats are mobilized.  Wide variations in pesticide
residues may occur also in fish having presumably similar back-
grounds.  In one series of analyses of 15 "similar" specimens
collected simultaneously from a school of estuarine fish, for example,
DDT residues varied by two orders of magnitude.

Fish are most useful as monitors when they are small enough to permit
whole body analysis of at least 15 specimens, thus averaging individual
variations.  If the fish are about 1 year in age or sampled prior to
their first spawning, the residues reflect pollution exposure during
a known time period.

Sample Preservation - The handling of estuarine samples for pesticide
monitoring poses the same types of problems as samples from any other
medium.  Increased knowledge of the dangers of sample contamination
through contact with various kinds of synthetic wraps and containers
has demonstrated the necessity for glass and perhaps aluminum foil
containers to preserve the integrity of wet samples.  Immediate
freezing and maintenance of frozen sample until analysis is still the
best way to protect samples and prevent degradation or loss of pesticide
residues.  Freezing, because of its simplicity, is also perhaps the
best method for use by unskilled personnel.

The preservation of tissue samples for pesticide analysis at room    v
temperature by the use of desiccants has been used with marked success
in estuarine monitoring.  Although this method requires a modest amount
of personnel training as well as special chemicals, it avoids^ the loss
of frozen samples because of missed airmail schedules and power failure.
It has proven especially useful for samples collected long distances
from the analytical laboratory.  In practice, field samples of plants
or animals are chilled, homogenized, and blended with a combination of
two desiccants   sodium sulfate and powered  silica.  The resulting
mixture is a dry, free-flowing powder in which pesticide residues
remain intact for 15 days or more at room temperature.  This desiccant
mixture is compatible with chromatographic procedures for organochlorine,
phosphorus, and phenoxy pesticide compounds.

Representative Samples - The collection of representative field samples
requries careful planning and pre-supposes a good understanding of
estuarine ecology.  The introduction of stratification into the
selection of sample type, collection frequency, and station location
is advisable if the most knowledge is to be gained from samples that
are necessarily limited in number and areal coverage.
                             V

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It has been found in past monitoring programs, that apparent
pesticide pollution levels have been grossly altered or misinterpreted
because of drought, windstorms, substitution of one species of clam
for another, collection of samples on different tidal stages,
and by assuming that the diet of a particular species of fish
being monitored was the same in two different estuaries.  Ultimately,
the understanding of field sample analyses is determined by knowledge
of the response of similar samples, either organic or inorganic, to
pesticide pollution under controlled conditions.   Too often, money
and effort in environmental monitoring have been largely wasted
because of the failure to select samples whose analyses could be
meaningfully related to environmental conditions.
                           V - 5

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CONTRIBUTION NO.  247

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                                  EPA-660/3-74-024
                                  DECEMBER  1974
     A CONCEPTUAL  MODEL FOR THE MOVEMENT

   OF PESTICIDES THROUGH THE ENVIRONMENT;
          A contribution of the EPA
        Alternative Chemicals  Prooram
                     By

              James  W.  Gillett
               James Hill  IV
             Alfred  W.  Jarvinen
               W.  Peter  Schoor

   National  Ecological  Research  Laboratory
aulf Breeze  Environmental  Research  Laboratory
      National  Water Quality  Laboratory
 Southeast Environmental  Research  Laboratory
    National  Environmental  Research  Center
          Corvallis,  Oregon   97330

          Project Element 1EA487
             ROAP  21BCL,  Task 03
   NATIONAL  ENVIRONMENTAL  RESEARCH  CENTER
     OFFICE  OF  RESEARCH  AND  DEVELOPMENT
    U.S.  ENVIRONMENTAL PROTECTION AGENCY
          CORVALLIS, OREGON 97330

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                             ABSTRACT

This report presents a conceptual  model  of the movement and disposition
of pesticides in the environment.   A multi-media model is built up from
simple modules representing basic  processes and components of air, soil,
and water.  More specific models are exposited for the atmospheric/
terrestrial, freshwater aquatic, and estuarine/marine environments.
Through iterative operations of expansion and systematic reduction of
the components and processes these models of segments of the environment
can be joined to provide a holistic view of the disposition of a
chemical and its attendant effects.  Ultimately systems analysis and
mathematical simulation techniques can be employed to evaluate the
fate of a specific chemical in a particular environment.  The conceptual
model is thus a first step in organizing facts, assumptions, and
hypotheses into a graphic and logical array capable of exploitation in
further experimentation of pesticide disposition and effects.

While rejecting formulation of a model with global validity, the authors
emphasize the commonalities of the basic processes and components in
the various environments.  Thus, a multi-media approach to disposition
studies is made explicit even in the absence of a single, all-media
global model.

This report was submitted in fulfillment of Project Element 1EA487,
ROAP 21BCL, Task No. 10 by the National  Ecological Research Laboratory
under the sponsorship of the Environmental  Protection Agency.  Work
was completed as of September 1974.

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                             CONTENTS
                                                       Page Page
ABSTRACT	   ii
LIST OF FIGURES	   iv
ACKNOWLEDGEMENTS 	   vi
FOREWORD	   vii
SECTIONS
I    CONCLUSIONS 	   1
II   RECOMMENDATIONS 	   3
III  INTRODUCTION  	   4
IV   OVERALL CONCEPT OF THE MODEL	   11
V    THE ATMOSPHERIC/TERRESTRIAL MODEL 	   27
VI   THE FRESHWATER AQUATIC MODEL  	   40
VII  THE ESTl"\RINE/MARINE MODEL	   55
VIII REFERENCES	   59
IX   KEY LITERATURE SOURCES FOR PESTICIDE
      EFFECTS RESEARCH 	   63
APPENDIX	   73

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                              FIGURES

No.                                                              Page
 1    Variable-Form Module:   Chemical                               5

 2    Global  Array of Environmental  Regions                         7

 3    Food Web Module                                              9

 4    Diagram of the Atmospheric/Terrestrial  Model                  30

     4A   ATMOSPHERE                                              31

     4B   FAUNA                                                   34

     4C   FLORA                                                   37

     4D   SOIL and WATER                                          38

 5    Diagram of Faunal  Subsystem Model                             33

 6    Vertical  Representation of  a Stratified Lake                  43

 7    Horizontal  Representation of a Lake                           44

 8    Horizontal  Array of Vertical Columns for
      Representation of Lotic Systems                              45

 9    So.ne of the Storages,  Processes,  and Subsystems
      Associated with the Surface Layer Storage  Compartment       47

10    An Expansion of the Hydrologic Input                          48

11    A Skeletal  Abstraction of a Food Web                          49

12    Food Chain Model of DDT in  a Freshwater Marsh                 50

13   A Minimal Representation for a Pesticide
      in a Dimictic Lake                                          52-53

14   Simple Model of Transport in Estuaries                        56

15   Expanded, Iterated Basic Chemical Module for
      Transport of Chemicals in  Estuaries                          57

     Bi ota-nediated Flux (overlay)                                 57
                                 "1 V

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                         FIGURES (Cont'd)
No.                                                              Page

A-l  Relationship Ariong Graphical Representations                 74

A-2  Streeter-Phelps Oxygen-Deficient Model
      for a Stream                                                76

A-3  Vollenweider Lake Eutrophication Model                       76

A-4  Nutrient Model for Lake with Biotic
      and Abiotic Storage                                         78

A-5  Possible Coupling of Biomass (B) Subsystems
      with Nutrient Concentration (Mb) Subsystems                 79

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                         ACKNOWLEDGEMENTS

The authors graterully and most humbly acknowledge the contributions
of their colleagues Ray R.  Lassiter and Edward J.  Rykiel ,  Jr.  (SERL);
Patrick W.  Borthwick,  Marl in E.  Tagatz, and Gerald J.  Halsh (GBERL);
and Eugene Elzy,  F. T.  Lindstrom,  Marvin L.  Montgomery, and Rizanul
Haque (Environmental Health Sciences Center,  Oregon State  University,
Corvallis, Oregon). Helpful  and constructive comment  was  received
from N. R. Glass  and A. S.  Lefohn  (NERL),  J.  Eaton (NWQL),  T.  W.  Duke
(GBERL), and D.  W.  Duttweiler,  11.  M.  Sanders, and  G. L.  Baughman  (SERL)
Timely preparation  would not have  been possible without the dedicated
assistance of Program  Support Center (NERC-Corvallis).

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                             FOREWORD

This report is a pror.uct of the Environmental  Protection Agency's
Substitute Chemicals Research Program, which  seeks  chemical
alternatives to certain pesticides.   The report provides an  overall
view of these chemicals regarding their pathways through and possible
effects on the environment.  Since the substitute chemicals  to be
investigated may exhibit properties  similar to conventional  pesticides,
such as bio-concentration and bio-degradation, this  program  was
initiated to study the environmental  routes and rates  of transport,
metabolic fate, and sinks for a variety of these substances.

Many chemicals, including the substitute chemicals,  move throughout
all of the environment, and their total impact cannot  be evaluated
by a research program dealing with only one part of the environment.
Experiments designed to provide data for regulatory  function must
include as many parts of the environment as possible.   For this
reason, the whole ecosystem approach has been adopted  in this program.

We have thus presented an overall conceptual  scheme  from which
scientists, administrators, management executives,  and other
interested persons with a concern for pesticide-related problems
can obtain an overview.
                                   vn

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                             SECTION I
                            CONCLUSIONS

Pesticides are applied to the ecosystem of the pest and  not  to  the
pest alone.  An ecosystem by definition is a causally  closed system
in which each process is influenced by  overall system  structure.  The
concept of the ecosystem represented simply in thought or  language is
of little operational use until translated into more functional diagrams,
Each of the many forms of system diagrams  has strengths  and  weaknesses
depending upon their application.  An iterative process  of expansion
and systematic reduction of components  to  achieve  an optimal  balance
between resolution and effort can be employed to join  various segments
of the environment.

Placing the pesticide problem in the control  diagram format  forces the
investigator explicitly to define and delimit a complex  hypothesis.
Further, systems analysis and simulation techniques  may  be applied to
mathematical approximation of the hypothesis  stated in the control
diagram.  When applied to a preliminary system diagram,  these analyses
allow systematic reduction to a less complex form.   As a preliminary to
an experimental study, these techniques can provide answers  to  many
questions concerning the variables to be measured,  the accuracy required
of the measurement, and the frequency of sampling.   Thus,  these methods
of modeling and techniques of analysis  enable investigators  to  develop
models for the behavior of a specific pesticide in  a specific ecosystem
yielding an approach to optimum information re resource  expenditure.

Ultimately, mathematical modeling and analysis could precede
introduction of chemical which might be potentially hazardous in the
environment.  By identifying those properties of the agent and  the

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systems and by quantifying  interactions of components, mathematical
simulation can direct  critical  experiments to verify hypotheses of
disposition and effect.   The  conceptual model is the first step in a
rigorous scientific  treatment of the  fate and effects of agents and
their alternatives in  pest  control.

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                            SECTION II
                          RECOMMENDATIONS

The conceptual model necessarily will  benefit from  criticism,
experimentation, and utilization in research.   The  process of
improving and updating the conceptual  relationships should be
a continuing function of this program.

Analysis of the disposition of pesticides  in  particular segments of
the environment and of the effects  accompanying their  distribution and
fate should employ the conceptual models  in developing more explicit
hypotheses and as an operational framework.  Research  in  laboratory
microcosm and in field validation of laboratory studies of processes,
effects, etc., should be correlated through appropriate models  derived
from this conceptual base.

In relation to the Substitute Pesticides  Program, this conceptual
model should be employed in referencing the probable disposition of an
alternative chemical to that of the de-registered or suspect agent that
the substitute might replace.

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                            SECTION  III
                            INTRODUCTION

Literally millions  of chemicals  and  combinations  of  chemicals  are now
manufactured and isolated,  formulated,  used,  and  ultimately  disposed
of in the environment.   Management of the  resources  of  regulatory
agencies, supporting scientific  institutions  and  manufacturers of the
chemicals demands effective and  reliable shortcuts in evaluating the
potential hazard involved  in such  chemicals.  The purpose of this
conceptual  model is to  elucidate the disposition  of  an  agent in the
environment to permit judicious  collection and evaluation of data
that indicate the critical  points  in that  disposition.  From the
conceptual  model one could  develop a more  explicit model for the
behavior and disposition of a specific  chemical in a particular
environment—a model that  includes realistic  parameters and  by
computer simulation provides realistic  estimates  of  the concentration
of that chemical in space  and time.

A number of models  have been proposed for  the movement of specific
agents or classes of chemicals in  various  environments.  Some attempt
to represent the global  distribution of agents; others relate to
smaller portions of the whole environment  or  to generalized  segments
(e.g., within man).  Highly significant contributions to this effort
are the works of BISCHOFF AND BROUN  (1966), WOODWELL et al., (1967,
1971), HARRISON et al.,  (1970),  NISBET AND SAROFIM (1972), KENAGA
(1972), LINDSTROM et al .,  (1974),  and ELZY et al., (1974).

In setting forth this particular set of models encompassing  the
atmospheric/terrestrial, freshwater  aquatic, and  estuarine/marine

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environments, this report has established limits of validity and
relevance focused locally rather than globally.  The utility of the
conceptual model rests in its conversion and evolution into an explicit
mathematical statement capable of evaluation as a hypothesis.  Current
and near-future capabilities for extrinsic control of environments will
limit such testing to laboratory microcosms, such as those of METCALF
et al., (1971), and to small external sites, both characterizable as
limited within the concepts of the model.  Extension of the model
conceptually in space and time can be made to the extent that the
elements of the models can be grouped, subsected or interconnected.

            Figure 1:  Variable-form Module:  chemical.
     A  chemical  may exist "free"  or "bound"  in one of the states
     shown,  all  of which  can interact within a region (inside box)
     or interact with adjacent modules of other environments
     (indicated by arrows).

WATER




ORGANIC

PftRTICULATE



INORGANIC

PARTICIPATE

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The regional models can be considered as  amplified  aspects  of a  basic
variable-form module (Figure 1) within which  a chemical  may exist  in
a "free" or "bound" form.   Since any chemical  may be used as a pesticide,
a term describing its function, the fate  and  movement of any agent (and
effects consequent to that disposition) can be described and displayed
without regard to that extrinsic function.  Thus, the model  should
serve not only for pesticidal  chemicals,  but  also for other natural
and man-made agents that are being evaluated.   The  subcompartments of
modules may exist in varying proportions  and  with diverse relationships
in different environments.  Specification and elaboration of this  basic
chemical module are employed to relate it more specifically to a region
or zone within the environment, and interrelating and interfacing  such
subsystems generates models of broader relevance.   Subsequently,
iteration of models can occur longitudinally  (to represent  stream  flow,
geographical or climatic regions, or atmospheric processes), vertically
(to represent water depths, soil horizons, or meteorologic  events), or
horizontally (to represent distances from interfaces)  to develop
multi-media models.

At the interfaces of the regions explicit representation becomes most
difficult.  Although the models exposited cannot be viewed  as  globally
valid, the iteration and conjunction of subsystems  generate  a  global
array (Figure 2) that serves conceptually as  an overall  model.   As
shown in Figure 2, some elements are "shared"  in a  more  or  less
regular manner through seasonal, circadian, or shorter cycles  and  in
an irregular manner through meteorologic  and  geologic  changes.   The
tidelands, flood plains, and marshes are  not  fully  represented by
either aquatic or terrestrial  models exposited herein, but  both
provide sufficient elements for subsequent elaboration as knowledge
of the physical structure, physicochemical relationships, and
alteration rates of these interfaces is improved.   These interactions
cannot be ignored simply because the mean flux appears to be zero,

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because the rates of change are so slow or so fast as to lie outside
apparent rate-limiting processes, or because events do not appear to
affect disposition or effects of pesticides directly.
                                     GROUND
                                     AND SURFACE
                                     WATERS
          Figure 2:   Global  array of environmental  regions.
     Modules  can be  arrayed  as representing environmental  regions
     interacting by  flow (open arrows)  or other transport  and
     transfer phenomena (solid arrows)  so as to represent  global
     disposition.

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A second major unifying thread of shared elements  are  the  plants and
animals designated as  "Biota"  in Figure  1.   The  interfaces of  the
physical environmental  regions provide for  considerable  crossover of
an agent via the biota, yet explicit representation  is difficult.  The
phenomena of predation, migration, and vectorial transport (associated
with compartmental flows)  are  indicated  in  Figure  3.   Similar  to the
variable-form module of an environment,  iteration  of biological transfer
and storage modules provides extension and  expansion of  these  routes
of disposition.  Unlike interactions with the  physical components of
the environment, however,  the  biocidal and  physiologic activities of
pesticides can have pronounced direct and indirect effects on  the
disposition of a given agent.   Determination of  such effects within
ecosystems would be vital  to development of realistic  simulation
models.

Chemicals are altered by both  physical and  biological systems  in the
environment, so that site and  rate of such  change  are highly significant
aspects of the disposition. Representing these  changes  in a single
model is difficult, especially when the  agent  (or  its products) may
alter the rate of biotransformation. Where an agent is  altered
chemically, we are assuming that the disposition of  the  product can
be considered to be into a model parallel to that  of the parent
compound.  The particulars of  interaction may  be describable for a
given relationship, so that defined systems  can  be set forth for a
specific chemical.  In tracing the movements of  an agent through this
conceptual model, the products of photolysis,  chemical alteration, and
biotransformation can be visualized as leaving the global array (Figure
2) and entering a similar point on a model  for each  product.   There
might be many points interacting between the model of the parent agent
and models of products.

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                                   TRANSPORT
                                   FLUX
             PRIMARY
            PRODUCERS
     PRIMARY
    CONSUMERS
               HIGHER
             CARNIVORES
SECONDARY
CONSUMERS
                           DECOMPOSERS
                            OMNIVORES
                            SCAVENGERS
               Figure 3:   Food web module.
Solid arrows indicate intra-web  flux by predation and
feeding; open arrows  indicate other transport and transfer
within the food web or between food webs of different regions
or zones.

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Another major concept utilized in these  models  is that components
can be represented as compartments equivalent to a well-stirred
chemical  reactor in a processing plant.   Definition of what
constitutes a compartment or component is  part  and parcel of the
process of bringing the conceptual model  into specific focus with a
particular agent in a given segment or region of the environment.  The
extent of correspondence between (a)  the definition of a  "compartment"
of the model, and (b) the characteristics  of an environmental component
determines how well  a given variable-form module represents reality.
Redefinition of compartments serves  to make the model more sophisticated
or less complicated, as knowledge is  gained about the component and its
functions.

The conceptual model for the transport of  pesticides in the environment
has been devised from three units:  atmospheric/terrestrial, freshwater
aquatic, and estuarine/marine.   The  nature of the presentations differ
somewhat as expected for diverse points  of reference, but the basic
components and chemico-physical  and  biological flows are compellingly
similar.   This report will  attempt to  synthesize these components and
processes further into an overall  concept, then consider representations
for the three major areas.
                                 10

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                            SECTION IV
                   OVERALL CONCEPT OF THE  MODEL

An explicit, overall conceptual  model derived  from the principles of
chemistry, physics, and biology  and valid  for  all pesticides and
environments, would over-reach the bounds  of current knowledge.  For
practical translation into a quantitative  model, the common threads
of these principles and of the constituents  of the environmental
regions must be woven into a fabric or  matrix  of systems capable of
analysis.  Practically, we are forced to examine experimentally
relatively-small regions which can be characterized and/or controlled,
or we must generalize these models by summation  (see HARRISON et al.,
1970; WOODWELL et al., 1971).  Iterative simulation of the models over
all environmental regions would  require an unachievable data base, but
much can be learned about the whole even from  the parts.  These will
tell.us where sampling and monitoring will be  valid and helpful.
Attention could thus be focused  on the  processes and mechanisms
affording (and on these factors  affecting) disposition.

PRELIMINARY SYSTEMS ANALYSIS FOR REDUCTION AND EXPERIMENTAL DESIGN

A diagrammatic representation of a system  is usually of value to a
scientific investigation even if the potential applications of the
system representation are not realized. The trial-and-error expansion
and reduction of compartments  forces the investigators explicitly to
acknowledge the boundaries and the level of definition of the system.

Deciding upon alternative representations  of flow and control paths
promotes consideration of even the most remote possibilities.  Finally,
many of the assumptions necessary to represent the system are explicit
in the diagram.
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The system diagram is a complex, qualitative hypothesis  which  must be
tested by experiment.  The hypothesis cannot be realistically  tested
in the graphical  form of the conceptual  models given so  far (Figures
1  and 2).  A more exact representation of the relationship between
storages and flow rates is needed.   The many possible mathematical
forms for these relationships may be classified as  linear or nonlinear
and as recipient-controlled, donor-controlled, or mixed.

The linear, donor-controlled form (PATTEN, 1971) is probably the most
elementary (CHILD and SHUGART, 1972).  It can be represented mathe-
matically as

          ^|  = AX + BZ                                     (1)

in which X is a storage level vector, dX/dt is a flow rate vector,  Z
is an input vector, and A and B are coefficient matrices.

Donor-control implies that flow rate depends only upon the storage
level from which the flow originates.  Although this assumption  may be
unrealistic, the use of a linear, donor-control approximation  of the
system representation appears to be justified for these  preliminary
analyses.  Often, linear approximations  are less sensitive to  parameter
estimation errors than nonlinear representations.  Also  several
expedient techniques of analysis may be applied to  the linear,
donor-control approximations.  The following analysis techniques can
yield alternative statements of the system diagram  hypothesis  that
can be interpreted in terms of reduction and experimental  design.

     1.   Topological analysis is currently being developed by
          a group of Dr. B. C. Patten's  graduate students  at the
          University of Georgia (PATTEN et al., In  Press).  This
          technique is intended to allow determination of the
                                    12

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     influence of the topological  structure  on  system
     behavior.  Such information  is  useful in evaluating
     alternative system structures and  particularly in
     determining the effects  of reduction or aggregation
     of components.

2.   Flow analysis (HANNON,  1973)  or input-output analysis
     (LEONTIEF, 1966) is based upon  the manipulation of the
     A coefficent matrix in  the linear, donor-control
     approximation.   Briefly, a matrix  & is  generated by

           G ^  A1'                                  (2)

     in which each element (G. .)  is  a relative  measure of the
                             ' 0
     fraction of flow out of storage j_  that  appears as input
     to storage i_ under steady state conditions.  This
     information may be used  to identify important processes
     or flow paths in the system.

3.   Sensitivity analysis (TOMOVIC and  VUKOBRATOVIC, 1972;
     PATTEN, 1973),  may be used to evaluate  the effect of a
     perturbation, v(t) , upon the  storage levels in the system.
     The measure of sensitivity,  S^,  is  useful in determining
     which parameters have a  prominent  effect upon system
     behavior.  A linear approximation  of S(t)  is determined
     from
                  dX              dX.
                        S(t)  +  ["dT  V(t)       (3)
     where the terms  in brackets  are Jacob i an matrices.  With
     a unit perturbation of each  parameter, A. ., the steady-
     state values  of  S^ for each storage  variable may be used
     as a relative measure of system sensitivity to each
     parameter.

                              13

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     4.    Frequency  response  analysis  (CHILD and SHUGART, 1972;
          WEBSTER et al.,  In  Press) provides frequency-related
          measures of system  behavior.  Both the referenced
          papers and current  studies indicate that the sampling
          ratio  (g)  and  the undamped natural frequency (oo ) are
          well described by a second-order control system
          approximation  of the system  (KUO, 1962; DERUSSO et al.,
          1965).  When the system is overdamped (most ecosystems
          appear to  be so), then the undamped natural frequency
          becomes a  measure of the maximum required sampling
          rate for system  variables.

     5.    Component  analysis  (HILL, 1973) allows numerical
          determination  of a  limited number of coefficient
          values from the  A matrix of  the linear, donor-
          controlled representation and the system transfer
          function as determined from  experimental input-
          output data.

Topological  analysis can be used as an aid in evaluating the influence
of connectivity  upon process  rates in  the system.  Flow analysis can
provide  a measure of steady-state distribution of flow through the
process  pathways.  A preliminary sensitivity analysis can determine
the effect of an error in  parameter estimation upon storage levels
and hence upon  flows. These  three evaluations of process-system
interaction provide  criteria  for elimination of components that have
the least effect on  system behavior, thus systematically reducing the
graphic  representation.  This results  in information that may be used
as a first approximation in choosing measurement methods and sampling
rates for evaluation of  system hypotheses,

MECHANISMS OF DISPOSITION

Much of the movement and fate of a given agent is dependent on the
rate and nature  of certain mechanisms  or processes which do not differ
                                 14

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in character or principle between the various compartments.  Explicit
in this dependency are (a) the physical,  chemical,  and biological
principles of behavior of the chemical  and  environmental component and
(b) the organization of the constituents  as described in the diagram.

It is convenient to divide these processes  into  two major groups:
transport processes, where the agent is moved vectorially in
association with an environmental component or by mass flow and
diffusion; and kinetic processes, where the movement can be described
by kinetic rate constants related more  specifically and pointedly to
the agent.  When considering distributions  of a  chemical with respect
to time, these diverse processes may play significant roles in
determining whether a given disposition is  flow-limited (by transport
processes), compartmentalized (by kinetic processes), or some
combination of both.  The reference  time  frame,  not specified for
the conceptual model, is a highly significant parameter vital in
translating the conceptual model to  realistic simulations.  Similarly,
the spacial reference point (volume, location) has purposely been left
vague to permit the general  case to  be  stated with the understanding
that specification of spacial  and geographic localization will be
carried out in translation and elaboration  of the modules (Figures 1
and 3) into models.

Examples of transport processes can  be  seen in dispositions primarily
dependent on stream flow, surface-to-ground water flow (leaching),
blood circulation, xylem transport,  and precipitation from air.
Kinetic process-dependent dispositions  may  involve high or practically
irreversible sorption or binding, differential rates of sorption or
desorption between compartments of a major  subsystem, or differential
chemical alteration.  The following  are offered  as the principle
processes limiting or affording disposition of an agent in the
environment.  More than one process  may be  occurring simultaneously
along the same route, so that the factors controlling the process
determine the proportion going by a  particular pathway, which in turn
may alter that of another route.
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Transport Processes

Convective Mass Transport ("leaching,"  "drift")  -

This physical  process  operates  in  all environments,  in both the
gaseous and liquid phases,  usually along  the  direction of mass flux.
In SOILS it would depend strongly  on the  degree  of soil saturation,
in the ATMOSPHERE on the micrometeorological  air flows, and in the
AQUATIC environment on hydrodynamics.

Inter-particle Diffusion (linear,  eddy, etc.) -

This process operates  where chemical gradients or local turbulence
exists Viscous solvent drag effects (included in the commonly used
term "dispersion coefficient")  also operate.

Intra-particle Diffusion (absorption/de-absorption) -

Fickian chemical  gradients  act  as  driving forces causing chemical
mass to enter  and diffuse into  or  out of particulate matter itself.
The structure  of the particle,  its degree of  internal saturation with
water, the size and diffusivity of the chemical, and the chemical's
structure are  important factors.   Included in this category would be
"exclusion-type" processes, where  pore size of inorganic particulates
may be large under one set  of environmental conditions (pH, degree of
saturation), permitting entry of chemical to sites unexposed under
other conditions, and  the subsequent trapping or binding of the agent
therein when the conditions change.

Co-distillation -

Volatilization in association with water evaporation takes place at
the soil/air and water/air  interfaces and is highly dependent on the
temperature, degree of soil moisture or amount of water surface exposed,
and the chemical  vapor pressure.
                                  16

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Sublimation from a Surface -

This might be regarded as  a compartment with the barrier consisting of
the heat of vaporization of the component  and is significant for the
outer portions of multi-layered chemical adsorbed or held on a
surface exposed to the atmosphere.

Ingestion (includes feeding,  drinking, imbibing.
inhalation, pinocytosis, etc.)  -

The mass of the compartment ingested moves into biota at rates highly
dependent on age, physiological and nutritional status, species,
season, temperature, availability of alternative foods or sources of
water, etc.  Several physicochemical  and biological processes may be
involved with the intimate uptake (absorption, facilitated or active
transport, etc.).

Kinetic Processes

Adsorption-Desorption Phenomena (phase-surface interactions) -

The principle parameters of this movement  are the enthalpy of sorption
of the chemical and the activation energy  of the surface.  Hence the
structure and properties of the agent and  the total surface chemistry
of the interface are critical.   The nature and type of surface
(composition of soil, tissue of animal,  type of particle) and the
surface area presented to the phase containing the  "free" agent are
important.  This process is regarded as  being  represented by a pair
of kinetic equations, the ratio of which  rate  constants is the measure
of the equilibrium attainable between the  surface  and the medium.  The
residence time of the medium (rate of change  in compartment contact),
if small in relation to the rates of these reactions, may limit
disposition.  Where the rate of binding  exceeds very greatly the  rate
                                   17

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of desorption, the material  may appear to  be  irreversibly bound.
Where these rates are both substantially slower  than  the rate of
media movement, the surface  interaction will  characterize the
disposition.  Moisture level, pH,  and temperature,  as  they  affect
the chemical and the surface, will  play major roles in this
phenomenon.

Chemical Transformation -

The non-biological alteration of a  chemical introduced into  any part
of the environment is dependent on  the moisture,  pH,  and temperature
of that environment, on the  nature  of reactive groups  on the agent,
and on the-presence of catalytic sites (on particles,  etc.).  The
nature and intensity of illumination  additionally determines
photochemical reactions.  At very high temperatures (pyrolysis) both
physical and chemical structure may be broken down  to  yield  material
in the vapor state.  In biota, soils, and  water,  and  to a much less
extent in air, cation and anion exchange capacity coupled with
eletrolyte levels determines ionic  interactions which  may alter the
structure or availability of a chemical, such as  by the formation of
insoluble complexes.  In some instances the chemical  reaction phenomena
are closely associated with  adsorption-desorption processes, related
nonlinearly to the extent of coverage by,  say, soil or air moisture
of the catalytic binding site where the reaction  might be hydrolysis.
To the extent that the media are suitable  for reaction or provide a
necessary reactant (e.g., ozone) these processes  can  appear  to be
compartmentalized in rate of disposition.

Biological Alteration (includes activation,
degradation and conjugation) -

These processes are assumed  to be catalyzed by enzymes, although
similar or identical chemical or photochemical reactions may be taking
                                    18

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place at the same time (at reduced rates)  in  the  same  compartment or
others.  The great increase in rate of the enzyme-catalyzed  reaction
provides opportunity for compartmental  differentiation of disposition.
These reactions are highly dependent on species,  status  (physiological,
nutritional, and previous chemical history),  and  route of exposure.
They may:  provide for an agent becoming more or  less  biologically
active; for binding or conjugation in a form  more or less available
to other organisms, compartments, etc., without altering the potential
biological activity; or for the covalent interaction of the agent with
an enzyme, thus altering the capacity of the  system subsequently to
carry out alterations at the same rate (inhibition).

The biologtcal effects of an agent are difficult  to separate from
disposition, inasmuch as one potential  effect is  to alter disposition
routes and/or rates.  Known pesticide-induced enzymatic reactions in
both vertebrates and invertebrates include oxidation-reduction,
hydrolysis, conjugation, and carbon-carbon bond cleavage.  The enzyme
activities induced may represent de novo synthesis of  theretofore
unexpressed genomes (microbial) or amplification  of the rate of genome
expression (higher animals).  Biochemical  alteration of environmental
contaminants and agents can be viewed as a function of the expression
of genetic material in coordination with the  ability of the environment
and the biological species to provide for  synthesis of enzyme and
cofactors to support the reactions.  Changes  in the course of this
expression may be one of the biological effects interacting strongly
on the disposition of a particular chemical.

Factors Affecting Disposition

As noted in the foregoing discussion of mechanisms, the disposition of
chemicals in the environment is governed by physicochemical, physical,
and biologic processes which can be related to properties of the chemical
                                   19

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                                        Table  I.   FACTORS AFFECTING DISPOSITION OF CHEMICALS IN THE ENVIRONMENT
 Mechanism,  Pathway,
     or  Process
 Convecti ve mass
   transport;  Inter-
   particle diffusion
 Co-distillation;
   volatilization/
   Condensation
 Intra-particle
   diffusion
 Ingestion
Adsorption/desorption
                                    Properties  of Anent
General-association with
  compartmental component
Size, diffusion coeffi-
  cient in media; vapor
  pressure, latent heat of
  vaporization; interaction
  with media; intra-
  molecular interactions

Size, diffusion coefficient
  in particle, chemical
  gradient
General-association with
  compartmental component
Structure, enthalpy of
  sorption (mono-layered);
  enthalpy of fusion
  (multi-layered)
                                        Properties of Environmental
                                                Component
Vectorial  flux;  degree
  of saturation  of immobile
  matrix by movement
Water evaporation rate,
  surface area, interaction
  with aaent,  degree of  soil
  moisture, extent of satura-
  tion of air
Structure (micro), degree
  of water saturation,
  alterations of structure
  by temperature, pH, ionic
  strength

Nutritional  value to
  feeder, attractiveness
  (chemical  or physical),
  availability of alternative
  foods, dearee of competi-
  tion with  other feeders,
  nutrietional and physiologic
  status of  feeder

Macro- and microstructure,
  surface area, activation
  energy of  surface
                                             Environmental  Control
Physical  (water or air
  flow,  soil  movement);
  temperature and gross
  energy distribution

Temperature,  energy flux
Temperature, pH, humid-
ity or soi1 moisture
General-biological
  structure of ecosystem,
  physical conditions
  affecting rate or choice
  of foods (temperature,
  season, light)
Temoerature, humidity or
  soil moisture, pH

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                                                                   Table I (cont)
Mechanism, Pathway,
    or Process
Chemical reaction
  phenomena
Biological alteration
  (activation, degrada-
  tion, conjugation)
Properties of Agent
Structure (reactive
  groups);  energy of
  activation, free energy of
  reaction,  nature of
  mechanism
Structure (reactive
  groups),  energy of
  activation, free energy
  of reaction, nature of
  reaction  mechanism,
  binding constant to
  enzymes acting on it
Properties of Environmental
        Component
Structure (catalytic
  sites), energy of
  activation, reactive
  sites, dearee of coupling
  to other systems providing
  reactants or removing
  products

Genetic capacity for
  eliciting appropriate
  enzyme, nature of enzyme;,
  species status (physio-
  logical, nutritional,
  psychological), sensi-
  tivity to aaent (inhibi-
  tion, synergism, toxi-
  city), degree of coupling
  to other systems providing
  reactants or removing pro-
  ducts, presence or absence
  of cofactors
                                                                                     Environmental Control
Temperature, humidity or
  soil moisture, pH nature
  and quantity of light
Temperature, pH, humidity
  or soil  moisture, biologi-
  cal  structure of eco-
  system,  previous chemical
  history

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and environmental  components.   Table  1  summarizes these to indicate
those factors which should be  known or  determined in making judgments
as to the probable disposition of the chemical.  Obviously, all
properties play some role in that disposition  in the complex,  real
world.  As modeling proceeds from the conceptual level to mathematical
simulation, these values become the critical inputs, especially as the
disposition is related over time.

SOURCES OF CHEMICALS RELEASED  INTO THE  ENVIRONMENT

Each of the major compartments of the model  can receive direct input
of certain chemicals as a result of the action of man.  These  inputs
are derived from "sources," which can be defined as the places and
activities leading to the release of  a  particular agent.  A source
may result in a variety of inputs into  major compartments and
subcompartments, and more than one source may  have very similar input
into a model of pesticide behavior.   For example, if methoxychlor were
sprayed on a forest in a diesel oil medium,  this application ("source")
would have inputs into the atmosphere (both  gases and aerosols), on to
the cuticular or dermal surfaces of biota, and on to the surfaces of
soil and water.  A source may  be deliberate, accidental, or
adventitous, but the inputs have been handled  uniformly in the models.

The sources can be grouped generally  according to the major compartments
to which inputs are directed and according to  the time frame in the
history of a particular agent  that it may enter a model from a source.
The latter might be divided into preconsumption (synthesis and
manufacture), distribution (transport,  storage, consumption, application,
or use), and disposal (dumping, release). A chemical plant might serve
as a source of atmospheric release of a pesticide during manufacture,
a site of accidental spills during storage and transportation, and
then have to dispose of waste  materials containing the agent in
                                  22

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   sanitary landfill, so that it would be a  source  having several inputs.
   Other typical sources are shown in Table  2.   For the purposes of models,
   we then should consider the specific nature of sources providing inputs
   into the environment.

   Atmosphere

   Considerable atmospheric input occurs upon application of the large
   class of organic chemicals used as pesticides; i.e., insecticides,
   fungicides, herbicides, and rodenticides.  For example, DDT is
   commonly applied by spraying a liquid suspension or solution by
   aircraft or mobile ground equipment.   UOODWELL et al., (1971) report
   that in aerial applications of DDT to forests in the northeastern
   United States 50 percent or less  of the amount applied was deposited
   in the forest.  The rest was dispersed in the air either in the
   gaseous form or as small droplets.  While much of the airborne liquid
   droplet fraction settles to the ground nearby, a significant amount
   remains aloft, to become associated with other particles and distributed
   in the environment at distances far from the point of initial application.

      Table 2.  SOURCES OF CHEMICALS FOR THE TERRESTRIAL ENVIRONMENT
     Phase of
History of Chemical                          Examples

Preconsumption               Manufacture,  food processing, mining,
                             refining
Distribution                 Application of  chemical in pest control,
                             agriculture,  or for public health purposes;
                             unintentional release resulting from the
                             use of products containing or made of
                             chemicals which are not totally confined
                             or immobilized; accidental spills in
                             transport or  storage
Disposal                      Release of wastes in air or industrial and
                             domestic waste  water; landfill operations;
                             incineration; dumping and discarding

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The chemical  input may be in the gaseous  state  or adsorbed  onto
particulates  released into the atmosphere.   Accidental  discharge
resulting from explosions, containment vessel  failure,  human  error,
or other accidents involving vehicles or  devices  for  transporting
chemicals can cause major problems  in a local  geographic  area, but
are probably  minor when considered  on a global  scale.

Chemical input into the atmosphere  through  routine use  of products
made of chemicals not totally immobilized,  either intentially or
unintentionally, is of major concern.  For  their  model, NISBET and
SAROFIM (1972) had to estimate the  amount of PCBs lost  to the
atmosphere by evaporation of hydraulic fluids,  lubricants,
dielectric-fluids used in transformers, and various plastics  which
are manufactured using PCBs.
 Flora
 Except for the direct application of plant growth  regulators  and
 chemicals used in pest control and for other agricultural  purposes,
 sources are generally separated from flora by atmosphere,  soil, and
 water of the environment.  With direct application,  input  may occur
 on the foliage and/or fruiting body; alternatively,  soil or water
 applications are sources of indirect inputs.
 Fauna
As with flora, few sources directly input into these compartments.
Medical and veterinary application of drugs  and medicines,  cosmetic
and hygienic dermal applications, and consumption of food  and non-
food items constitute typical types of deliberate exposure  from
sources.  In occupational use and, to a lesser extent,  the  general
public, exposure can occur by direct inhalation of vapors  or
absorption through the skin.  Hence, concern has been evidenced for
                                   24

-------
workers breathing or otherwise coining into  contact  with  chemicals
present at relatively low concentrations for long periods  of  time
or at relatively high concentrations  intermittently for  short periods
of time.  Direct or indirect application of chemicals  to flora or
fauna can constitute a significant input for animals higher in the
food chain if residues of the chemical  or its  alteration products
are retained in the food.

Inadvertant and accidental  release or even  purposeful  misuse  or
abuse of various chemicals  and chemical  products can also  be  a
serious and significant direct source of agents to  fauna.  Hhile some
such sources are moderated  through the atmosphere,  soil, water, or
flora, opportunities arise  for direct inputs to fauna  under some such
circumstances.

Soil and Water

Many of the direct introductions of pesticides into the  environment
are sources closely connected to the  soil  and  water regions.
Application of pesticides and fertilizers  by spraying  a  solution,
liquid suspension, or granular formulation  are important inputs to
the soil surface, subsurface and the  aquatic surfaces  on both  a local
and global scale.  In addition to adventitious contamination  by
accidental spills, other usages, and  leakage from sources, a  local
region becomes a source by  dumping or discarding material  or  by
creation of sanitary landfills.  Since the latter are  generally of
greater scope, the subsequent infiltration  by  rainfall and movement
of surface or ground water  can be major inputs throughout  the soil,
as detailed by ELZY et al., (1974).

Once a chemical is introduced into the soil and/or  water environments,
those compartments may continue to act as  a reservoir  for  long periods
of time, leading to transfer of an agent to flora and  fauna.   Depending
                                  2.5

-------
on the time rate of change of the concentration of a chemical at a
site of localization, the compartment  may  act  as a "sink" (where an
agent is effectively withheld from participation in the system) or
as a "reservoir" (where flows and transfer permit participation).
From the point of reference of a  given species, a compartment may be
either a reservoir (and thus a "source"  of an  input) or a sink.  A
breakdown product (such as DDE from DDT  or methy!mercury from mercury)
may arise in the soil and biota and subsequently appear broadly in the
environment, even though it was not manufactured or synthesized as
such.  Thus, as the ultimate repository  of waste, unwanted materials,
and the products for which the chemicals were  manufactured or prepared,
the SOIL and WATER have pervasive major  inputs into other segments of
the environment.
                                  26

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                             SECTION V

                 THE ATMOSPHERIC/TERRESTRIAL  MODEL


The model consists of a set of assumptions  derived from  experiment,
experience, and physical  law that are set forth  graphically  to

illustrate the principal  components ("compartments")  of  the  system,
the means by which the chemical  itself or the components bearing  the

chemical being modeled move or change in the  environment, and the

relationships between compartments vis-a-vis  this  movement.  Also

enumerated and elucidated are the factors affecting these routes,

such as the characteristics of the chemical and  compartment.


ASSUMPTIONS
1.   Elements or components of the terrestrial  environment  considered
are confined in a geographic and geophysical  sense to  a  local
environment consisting of "ATMOSPHERE,"  "SOIL and WATER." "FLORA,"
and "FAUNA."

2.   These elements and their constituent aspects can  be set  forth
as compartments, representing chemical  reactors.

3.   The model is directly applicable only to the agent; its  breakdown
products or metabolites are representable as  parallel  models  following
identical conceptual functions of disposition.

4.   The interrelationships of compartments and the movement  of
chemicals can be represented by a chemical  process flow  sheet.
DEFINITIONS
1.   ATMOSPHERE.  The gaseous phase containing  suspended  aerosols  and
particulates above the earth and its biota.

     a.   Troposphere.  The portion of the atmosphere  in  direct  contact
     with soil, water, and the biota.
                                  27

-------
          (1)   Suspended  participates.   Solid matter,  including
          certain microscopic  biota,  suspended  in  the  atmosphere.
          Each  particle has  a  surface  subcompartment.

          (2)   Aerosols.   Microscopic  matter  (solid  or liquid)
          dispersed  in  the atmosphere,  each with  a surface
          subcompartment.

          (3)   Gases.   The gases  and  vapor-phase  components  of
          the  atmosphere.

     b.    Stratosphere.   A compartment above  the  troposphere and
     beluw the  mesosphere having  components as  in  (1-a),  but not
     interacting directly with the  earth and  its  biota.

     c.    Mesosphere.   A  compartment  below the  mesopause  and
     ionosphere and  above the  stratosphere having  compartments
     as  in (1-a and  b), but not interacting directly with the
     earth except  through the  troposphere and stratosphere.

2.    FAUNA.  Biota excluding plants and microorganisms (except
protozoans) and including not  only  the terrestrial surface  species
but also those living  predominantly in the atmosphere  and in the soil.

     a.    Man.   Human  beings representable by a subsystem of several
     compartments  based on anatomical  and physiological  characteristics.

     b.    Higher carnivores.  Those creatures feeding  on  primary
     carnivores (and perhaps in some  instances  on  forms  lower in
     the food web).

     c.    Primary  carniyores.   Those  species  feeding predominantly
     on  herbivores and  (to a lesser extent) primary  producers.

     d.    Herbivores.   Those species  feeding  on primary  producers,
     usually plants  and related microorganisms.

     e.    Soi1-organisms.  Those primary producers dwelling
     predominantly  in  soil and the  scavengers of  the plant  and
     animal matter  constituting the organic matter of  soils.

3.    FLORA.  The biota  including largely the  photosynthetic  primary
producers consumed by  man, herbivores, and soil organisms.   Generally
the plant is represented  as having  a  subsurface portion  (consisting of
subcompartments for  the root tissues  and potential storage  or fruiting
bodies)  and a surface  portion  (consisting of  foliage and  fruiting body),
all surrounded by  a  cuticular  compartment.

4.    SOILS AND WATER.   In addition  to soil organisms (2-e),  this
compartment is separated  into  two regions containing the  same components

-------
     a.   Surface.  The top portion of the soil,  capable of interacting
     with the air directly.

          (1)  Surface water.   The result of precipitation, ground
          water springs, etc., but distinct from  streams,  ponds,
          lakes, etc. (parts of the AQUATIC model);  includes "free"
          water associated with soils and all  solutes.

          (2)  Organic particulates.  Colloidal materials  in suspension
          including organic matter and decaying material  derived  from
          biota.

          (3)  Inorganic particulates.  Inorganic soil  structural
          materials (clay, silicates, minerals, etc.)  and  those
          insoluble materials  of non-biological origin.

     b.   Subsurface.  Similar to (4-a)  but containing  the ground
     water and associated soil water.  Actually there  exists a
     series of parallel plates or zones  through the  soil  profile
     which will differ in composition, environmental  condition, etc.
     The subsurface region indicated in  this model  is  considered to
     be all that below the immediate surface in contact with the
     atmosphere.
PATHWAYS


The foregoing compartments are displayed in  Figure  4.   A  compound
introduced into the ATMOSPHERE (Figure 4A) may be  in  the  vapor  phase,
as an aerosol, or in the form of a large particle.  Chemicals in the
vapor phase would-be expected to adsorb reversibly  to  the surface of
aerosols and other particulates, where the potential  for  alteration by
cnemical or photolytic means (due to catalytic sites  thereon) is much
greater than in the vapor phase.  The particles might  condense  or break
down, and chemicals would be redistributed.   A chemical on the  surface
of a particle or aerosol could absorb reversibly into  the particle,
where photolysis would be very much less likely. All  of  these
interactions would be taking place in the Mesosphere  and  Stratosphere
as well as the Troposphere, which are mixed  by diffusive  and
meterological conditions and events.  Photolysis would be expected to
                                   29

-------
CO
CD
                  LEGEND:

                  Mass compartmsntal transft

                  Cfitmical movomtnt

                  R«
-------
             MESOSPHERE
               n
          STRATOSPHERE
              n
              ii
              6
               n
    TROPOSPHERE
  GASES
'?%
                  O
                 AEROSOLS
surface
               SUSPENDED
               F*RTICULATE$
                                    jrface
           Precipitation   washout
                               Fcllou*
                             Wash-ouU
                       /x
                         Erosion
                                       Co-distillation
       Figure 4A:  ATMOSPHERE
                  31

-------
play a progressively great role in  the  upper  atmospheric compartments
and, conversely,  chemical  reaction  (except  for ozonolysis) would be
expected to be of less importance in  those  upper compartments.
Iteration of the  basic Troposphere  model  through the  upper atmospheric
compartments is easily accomplished.

Materials can enter or leave the atmospheric  compartments by
reversible sorption, interacting especially with SOIL and FLORA
surfaces, or by volatilization/condensation from these surfaces.
Particulate matter would settle out onto  surfaces or be washed out
by precipitation.  Winds,  mechanical  action (such as abrasion),
various modes of  direct introduction  (application, emission sources),
and meteorologic  aerosol formation  in association with codisti1lation
would result in particulate aerosol introductions into the ATMOSPHERE.

FAUNA, and to a lesser extent FLORA,  would be subject to ingestion of
portions of the tropospheric compartment  by respiration, while sorption
would provide dermal exposure.   Inhaled particles not trapped in lungs,
spiracles, etc.,  and particles  or aerosols trapped on skin, hair, etc.,
and thereby subjected to grooming (e.g.,  fur  licking), may be ingested
with mucous.  Air is also  present in  soils, in equilibrium with the
soil surfaces re_ any component  chemical;  it likely plays little
role per se in exposure of Soil Organisms and is therefore ignored.
Depending on atmospheric mixing and soil  movement, the exposure of
Soil Organisms may be qualitatively and quantitatively different than
the exposure of surface FAUNA via the air.

A schematic fauna! subsystem (Figure  5) illustrates the probable
inputs and outputs of the  several compartments in Figure 4B (compare
to Figure 3).  Depending upon the food  source, material from one or
more of the other major compartments  may  be ingested, exposing the
lumen tissue to the chemical  in the food, air, or water.  It may be
sorbed, broken down within the  lumen, and/or  passed out with the
                                 32

-------
 FOOD (From PLANTS,
 FAUNA,  SOILS, and
 SOIL ORGANISMS)
 WATER
(SOILS;
          Death  A-
          Decay  \._
                                 To   other^FAUNA
                                 	~\  <^	
n
    * .   Blood   (Hemolymph;'*
m
                             I V
                                       "bound"
                                 Lumen
                             I v
                                 Gut
         Digestive  organs
         (Liver, Kidney)
   •iT  Hair
      |   Feathers
                                            Dermus
            Endoderm
                                                     x»m
                            A |   Respiratory organs
                                                        "X,nnX
         Other tissues and organs
     (muscle, bone, nervous system,
                        adipose)
    e	
                                 Reproductive  tissues
                                              Offspring
                                               (fetus, eggs)
-*

 ATMOS
                                                                  Inhalation
          Figure 5:  Diagram  of Fauna! Subsystem  Model.
   (Based on  BISCHOFF and BROWN,  1966).  Arrows  indicate
   flows  or  transfers of agent and/or compartment  mass.
                                   33

-------
fecal matter, which then passes on  to  the SOIL or as food for other
FAUNA.  The portion absorbed may  be distributed throughout the
organisms to other tissues, which may  alter the agent's structure
to more easily excreted products, store  the agent (for later release
or for ingestion by a predator species),  or provide for the agent's
excretion.
                     ::::::: Respiration iiii ':'•':
         Ingestion
t
MAN
M,X«-N
(see FAUNAL subsystem] \J
\\
HIGHER
CARNIVORES ._
M,X*"*\
(see FAUNAL subsystem) J
n
PRIMARY
CARNIVORES .__
MX*^
(see FAUNAL subsystem) 9
n

HFRBIVORFS ^.
M.X^y
(see FAUNAL. subsystem^
fr
'•:•. : | ! Decay

—
/-
V

<•
c

c
c



c
^-


                                                                  From
                                                                  AQUATIC
                         Figure 4B:   FAUNA
                                   34

-------
In the higher vertebrates this process is complicated  by  functions
such as the enterohepatic cycle (gut -»- liver -> bile •>  intestinal
lumen).  In higher animals material  may be lost through the  skin,
hair, or feathers.  As noted earlier, these tissues also  receive
exposure from the ATMOSPHERE (and some instances SOIL).   Some  agents
may be altered externally and some may not penetrate the  dermal
barrier.  Unabsorbed material could volatilize or be adsorbed  by
atmospheric particles.  Except for exhalation of unadsorbed  material,
pulmonary losses of chemicals taken into animals by other routes
appear negligible.

Agents are also distributed to reproductive tissues, which can
constitute- a major outlet of chemical for the exposed  animal.   In
female mammals this release can continue on through parturition into
lactation.  The route to offspring may be of great significance, since
the young of many species serve as food for higher trophic levels.

Another major loss route, in addition to excretion, is the death and
decay of tissues and organisms, leading to the entry of the  material
into the SOIL and WATER compartments (Figure 4D).  Initially on the
Soi1 Surface subcompartment, these materials become part  of  the
organic particulates and later free water of that compartment, but
are transferred by mechanical, geophysical, and biological action
into the Subsurface compartment.  Soil Organisms then  ingest these
particles, and one could propose an elementary version of the  scheme
in Figure 5 for disposition of the chemical in those organisms.
Additionally some Soil Organisms may be purged of some chemicals by
reversible sorption of materials in the gut lumen onto the out-going
soil particles.

The other major biological compartment is that of FLORA (Figure 4C),
represented as a generalized model with both Subsurface and  Aerial
                                  35

-------
portions surrounded by a waxy cuticle.   Materials  can be deposited
on this latter surface by fallout or precipitation, by condensation,
or by reversible sorption.  Some agents can pass on through into
plant tissue or may be broken down chemically or photolytically on
the surface.  A portion may be washed off the leaves and added to the
SOILS compartment.  Material bound to the foliage will subsequently
enter litter as decay occurs.  An agent on the foliage may be
volatilized off or sorb onto air particulates.

In the Subsurface zone, material may be brought into the plant by
uptake of water or by sorbtion onto the root surface and subsequent
penetration of the cuticle.  Some may "leak" out or be released to
the SOIL from the cuticle.  Both the Aerial  and Subsurface portions
of FLORA are subject to herbivorous feeding, moving material  into
the Soil Organisms and other FAUNA, and an agent in either compartment
is subject to chemical or biochemical alteration.   Once an agent is in
FLORA, it may be translocated to other tissues, including fruiting
bodies associated with either portion.   Similar to animals, a given
species of herbivore may select only a limited tissue on which  to
feed; all portions of a plant are seldom ingested  by a single
creature at one time.  Distribution within the plant of a given agent
would therefore have a very marked effect on the subsequent nature
and extent of movement of a chemical from FLORA to other major
compartments.  All of these movements would be less complex in
photosynthetic microorganisms.

"Bound" agents, including material  strongly sorbed (seemingly
irreversibly) and material covalently reacted (but bearing the  active
groups intact) are difficult to define and determine.   Some of  the
"bound" residues may be released by extraction, when sorption is
reversed, or by chemical or enzymatic treatment, where the conjugating
bonds are cleaved.  In both FLORA and FAUNA (including Sojl  Organisms)
materials considered metabolized or altered so as  to leave the  scheme
may re-enter a compartment as a result of such  action.
                                    36

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                                             Co-distillation
                         Figure  4C:   FLORA

The most complex and probably most significant compartment in the
disposition of an agent entering the  terrestrial environment is that
of SOILS and WATER (Figure 4D).   Material can enter this compartment
directly at the Surface by sorption from the ATMOSPHERE, condensation,

                                  37

-------
Wind, abrasion, mechanical)
   T
                                                                   Respiration
                                               Volatilization
                           SOIL  SURFACE
                                                                                  SOIL


                                                                               ORGANISMS
        ;•:- Decay  X-:-:'
;•>:•;;•;•;•;•>•; •
                                                    Tillage, geophysical, biological
                                           SUBSURFACE
                                      To

                                      AQUATIC
                                                                                                    To

                                                                                                    AQUATIC
                              Figure 4D.   SOIL  and WATER

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settling and fallout, and precipitation  (including material washed
off of plant surfaces).   Excretion,  exfoliation,  and decay of animal
tissues and defoliation, withering,  litterfall, and subsequent decay
of plant materials add to the routes of  entry.  Material can leave
the Soil Surface by erosion (wind, water,  or mechanical), by
volatilization, by photochemical  and chemical  alteration, and by
ingestion by Soil Organisms and other FAUNA.   Some material is lost
from the Surface by tillage, mechanical  mixing (geophysical or
biological), and "leaching."  The movement of Surface water into the
Ground water takes with  it solubilized and reversibly sorbed materials.
Within the Surface compartment, much as  in the case of  the Troposphere,
materials can be bound to the surfaces of  particulates.  Surface
waters can become contaminated by a  Ground water-source  containing an
agent, which would then  be distributed in  ttie Soil Surface.

In the Subsurface zone,  material  can enter from the Soil Surface, be
brought into the zone by Soil Organisms  or FLORA  (through translocation,
leakage, and root decay), and can leave  by routes noted  earlier--
sorption into FLORA and  Soil Organisms (and to a  lesser  extent, other
FAUNA), ingestion by Soil Organisms  and  FAUNA,  and through the Ground
water into FLORA and out into other  waters (streams, lakes, estuaries--
labeled AQUATIC).  In actual cases,  it would be necessary to
characterize each soil horizon by iteration of interconnected
Subsurface models.
                                   39

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                            SECTION VI
                   THE FRESHWATER AQUATIC MODEL

This section develops a systematic approach  to an  optimal
representation of the behavior of pesticides in aquatic  environments.
A quantitative discussion of processes  and parameters  important to
the fate and transport of pesticides-in-general  is futile  because of
the diverse chemical  and physical properties of pesticides.   This is
further complicated by the need to specify chemical, biological,  and
physical characteristics of the aquatic ecosystem. Therefore,  a
qualitative approach  to studying and modeling the  fate and transport
of pesticides in aquatic ecosystems is  discussed.

There has been a shift in many areas of science toward studies  of
wider scope.  This has been brought about partly by increased
emphasis on "the environment" and partly by  wider  knowledge  of  the
techniques of system studies.  According to  MOORE  (1967) the emphasis
in pesticide studies  has shifted from

                         Pesticide -+• Pest
                                to
                       Pesticide -> Ecosystem

Past pesticide research resulted in few system studies and fewer
mathematical analyses of such studies.

One area of system studies is that of microcosm or partial system
studies (METCALF et al., 1971).  These  studies emphasize a particular
short food chain largely as an index for comparison of various  studies,
Their quantitative applicability to real-world ecosystem is  therefore
limited.  Nevertheless, they provide the basis of  a large  portion of
our comprehension of the behavior of pesticides in the environment.

                                    40

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Global model studies are important in setting an  overall  framework
within which smaller system studies may be placed.   RANDERS  and
MEADOWS (1971) studied the movement of DDT in the environment, and
WOODWELL et al., (1971) made a similar study.  An important
conclusion of both these papers was that the DDT  concentration in
food chain organisms would continue to increase long after the rate
of application was decreased or terminated.   This conclusion was
based on computer simulation studies and comparative analyses.

Smaller system studies of greater detail bring us closer  to
interactions at the ecological level.  Analyses of pesticide
transformations  and transports at the ecological  level  may make use
of both ecological theory and various applications  of systems theory.
For example, EBERHARDT et al., (1971) applied system simulation to a
field study as an aid in interpreting the data.

The above examples deal with specific pesticides  in relatively
defined ecosystems and are not generally applicable to  a  description
of fate and transport.  The presentation that follows is  applicable
to pesticides and aquatic ecosystems in general but can also be used
as a starting point for any specific pesticide and system.

SKELETAL DIAGRAMS FOR A PESTICIDE IN THE AQUATIC  ENVIRONMENT*

The most effective aggregation of storage components and  rate
processes varies as attention is turned from one  aquatic  regime to
another.  Even within the range of lentic systems,  the  diagrammatic
representation for a deep dimictic lake would be  inappropriate when
used for a freshwater marsh.  For this reason, several  basic frameworks
or skeletal models without detailed process  embellishment are presented
for different aquatic environments.
*See Appendix for detailed background.
                                  41

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The first skeletal diagram in Figure 6  is  intended  for  a  dimictic
lake in which process dynamics are affected by the  presence  of  a
strong thermocline.  The division between  epilimnion  and  hypolimnion
may allow for long-term storage and release from the  sediments  of
the reduced forms of some chemical  species (HUTCHISON,  1957;  O'MELIA,
1972).  The surface layer is isolated as  a storage  component in this
vertical model because of the possibility  of enrichment in heavy
metals and pesticides (DUCE et a]., 1972)  and the neuston food  web.
The sediments are treated as a separate storage unit  because of
possible long-term storage (AHR, 1973), sorption-desorption  process
rates (HUANG, 1971) and the benthic food web.

A similar vertical skeletal structure without the hypolimnion may be
used for a holomictic lake or a freshwater marsh.   However,  a shallow
lake or a marsh may be better represented  by a horizontal structure
(SCHINDLER, 1974) as presented in Figure  7.   Here the storage is
divided among aquatic communities,  which have  varying response  times
and process rates.

The independent variable implied in both of these lake  models is time-.
However, either one may be used as  a two-dimensional  stream  or  river
model by choosing longitudinal distance (i.e., downstream) as the
independent variable and including hydraulic and morphologic effects
on settling and mixing.

Finally, the lotic system may be represented by a horizontal  array
of vertical column structures (similar  to  that of Figure  6) with
longitudinal distance as the independent variable.  The transfers
between columns represent the transverse mixing in  the  system
(HOLLEY and ABRAHAM, 1973).  This concept  is presented  in the
diagram of Figure 8.
                                  42

-------
   Atmospheric
   Parameters
'X
Atmospheric Inpi
t *
>' /-"
'
'*J >
1
Surface Layer

<






x^V,
i
Output to
Atmosphere
^ v
___ / \
                             Atmospheric
                              Parameters
                              *
                          [^
-------
   Hydrologlc
   Parameters
                                       x
         ff\
         f— v_ ~\J
         COo
       t
 Hydraulic
Input-Output
      XII*
                       /
Atmospheric
Input-Output
                                                            x
                                          X
                         *
              Littoral Zone
Amospheric
Input-Output
fV/j    Hydraulic
|/\|  Input-Output
                                                                               Pelagic Zone
Suspension
                            *
                                                                 *

                        [X]     Settling    |
                                |    Settling     [XI   [X]   Suspension    |











/
V
v


1
1 /-^ TL
I lf "V\
* t^
Hydraulic V/l
Input-Output /\|

Benthlc Zone






                   Figure  7:   Horizontal  Representation of a Lake.

-------
                     Morpholigic >v_ __ ---^.
                     Parameters J— ~~
                                                                                 I
         Hydraulic
~~ — ~ V Parameters
Figure  8:  Horizontal Array of Vertical Columns for  Representation of  Lotic Systems.

-------
In all  of the preceding skeletal  representations each storage
component may be divided into  discrete  physical, chemical, and
biological  storage components  with  their  associated  transfers,
rate coefficients, and coupled subsystems  (e.g., food web biological
uptake and storage with its  associated  growth,  respiration,  and
trophic dynamics).  A typical  expansion of the  surface  layer storage
component from the vertical  representation of a lake in Figure 6  is
shown in Figure 9.

Inputs and outputs may be expanded  in a manner  similar  to the
storage based upon their physical and chemical  characteristics
(dissolved, particulate, or  absorbed).  Expansion of the storage
compartments may be necessitated  by expansion of the hydraulic
input-output to the epilimnion (Figure  10)  into three separate
inputs and outputs.

The storage labeled "Food Heb" in Figure  9 is at the heart of most
problems concerning pesticides in the environment (MOORE, 1967).  A
skeletal abstraction of a food web  structure is shown in Figure 11
(compare to Figure 3).  One  method  of allowing  for the  influence  of
food web dynamics upon the pesticide storages and fluxes in  the model
is to assume that the biomass  levels in the aggregates  representing
the food web are at a steady state.  Under this assumption the
influence of the food web may  be  included in rate coefficients that
affect the flux of pesticide between storage components  representing
pesticide concentration in the food web compartments.   This  is
exemplified in the compartment diagram  for the  linear,  donor-
controlled model of DDT in the freshwater marsh of Figure 12.

Another method of allowing for the  effects of the food  web on
pesticide behavior is to couple the explicit representation  of the
food web to the related pesticide storages. Thus, there will be  two
storage components coupled together in  a  manner similar to that of
                                 46

-------
Inorganic Pa rticulates
/MeteorologicalN
1 Atmospheric J
V Coefficient ./ x~v
^~~~~~-^i~y ~Q^
* r
Solar Input Rate ty]


Available Solar Energy i
i
, i
i I
^ * *
/'"£' -^ IVl Transmission
r ~
1
1
1 1
* *
1 Adsorption p
H
Concentration on
Pa rticulates

Photo
Oeg

Cneffiripnt L»-
	 Concentration in Surface Layer
	 f* of Water
<
'

i
chemical V
radation /
J
//
tO:
1
t>
^J
f
3)
i
i
*
jSorbtionand lnjestion[)
f
^] Decomposition | (
!
i i .
i i 1
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COo
' f
[X] Biodegradation |

Surf ace Food Web

Organic ^articulates
1
t
i
_i
t^JJ-
    Figure 9:   Some of the Storages, Processes, and  Subsystems
               Associated with the Surface Layer Storage Compartment.

-------
co
                     Solubilization/
                            Precipitation
                      Pesticide Particles
                                                     Hydrologic Input of

                                                     Dissolved Pesticide
Dired Chemical Oxidation
and Microbial Degradation
                                                                                                                               Hydrologic Input of
                                                                                                                               Adsorbed Pesticide
                                                    N
                                     Adsorbed on

                                  Suspended Particles
                                        Figure  10:    An  Expansion of  the Hydrologic Input.

-------
              .v>j-
                                                                D
   Respiration
 t
   r s°n"ion    |X1
                                                              £3>
                                                                   .1
                                                         Respiration   £X]


                                                                 t  '
     p; %
     >- ,^_. ^j
      t
             [XT   'ngestion   ]





Respiration  JX]  |
[Xjnecrth and Excretion
I
L
                                  Decomposers
                                                      [XI   Sorption    [




                                                     J__J
      Figure  11:   A Skeletal  Abstraction of a  Food Ueb.



                                  49

-------
Figure A-5 (see Appendix) for each storage of pesticide in a biotic
component.  The mathematical representation of this type of interaction
is presented by HARRISON et al., (1971).
r
r
r
Surface Concentration
of DDT
,

Concentration in Tadpole
1

Concentration in
Suspended Matter
r
r

Concentration in Sunfish
i

Concentration in
Bloodworm
\
/
Concentration in Water
rf
V

Concentration in Carp
1 '
Concentration in
Narrow-leaf Pondweed

DDT Granules (Input)
        Figure 12;   Food Chain  Model of DDT in a Freshwater
                    Marsh (from EBERHARDT et al., 1971).
Remembering that there  is  no  best or correct representation, a
plausible general  model  for a pesticide in the aquatic environment
based upon the vertical  skeletal structure is presented in Figure 13,
an example of the  result of the  process of expanding the diagrams
to include the system storages or processes that may be considered
important.  The system  processes included in Figure 13 are intended
to constitute a minimal  set of parameters to be considered when
investigating the  movement and impact of a pesticide in the aquatic
envi ronment.
                                 50

-------
In a typical mathematical  representation, which may be derived from
the system diagram, each of the storage  blocks accounts for one of a
set of simultaneous differential  equations.  Also, each of the valve
symbols accounts for a rate term in  the  set of equations.  In addition,
the coefficients or parameters  in circles (many of which are omitted
from Figure 13 for the sake of  visual  simplicity, e.g., pH, temperature,
and Eh) appear as rate modifying coefficients in the equations.  Each
of these coefficients must be estimated  from the literature or
determined by a set of measurements  on the system.  Thus even the
minimal set of variables of Figure 13  results in a complicated set of
mathematical equations and requires  a  large data base for evaluation.

This complex representation can be reduced by aggregation of the
least important variables for a particular pesticide and ecosystem.
The inclination to eliminate the least important variables is usually
intuitively focused either on very rapid processes, "which cannot be
rate limiting," or conversely on very  slow processes, "which cannot
transport or transform much matter or  energy," depending upon the
investigator's objectives.  The possible dangers in using these bases
for eliminating variables lies  in the  synergistic behavior of causally
closed environmental systems.*

The effect of an individual process  on system behavior is dependent
upon four levels of system interactions.  These are
     a.   the rate coefficients and  parameters for the process itself;
     b.   the hypothesized topology  for  the system interactions as
          presented in the system diagram;
 *An ecosystem is a completely  connected  system  (COMMONER, 1971) that
  is closed in the control  sense  (HUTCHISON, 1948; PATTEN, 1973).  A
  closed control  system or  feedback  system may exhibit "emergent
  properties" (CANNON, 1967)  or "synergistic effects" (ODUM, 1971)
  that are dependent upon system  structure or total system properties
  (BERTALANFFY, 1968).  These properties  can affect the influence of
  a specific process upon system  behavior.
                                  51

-------
en
ro
                                                                                                   

- coMSunuK*


-------
en
CO
                                                                                    ^^~ -	1 C.OMCBMT"«*''''OKI T
                                                                                    ^ATi	1  '?OM"^I ]   ~
                 Figure  13:   A Minimal Representation for a Pesticide in a Dir^ctic  Lake.

-------
     c.    the hypothesized  system  structure, which includes the
          influence  of  other  process  rates acting through the causal
          topology;  and
     d.    the time series of  inputs to  the system.

Analytical  techniques for estimating  the effects of individual processes
on the system behavior  are  summarized in Section I.  The results provide
an analytical  basis  for reduction  of  complex system diagrams.
                                54

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                            SECTION  VII
                    THE ESTUARINE/MARIME  MODEL

The considerations incorporated in the freshwater aquatic model
continue in relevance and validity into the  estuarine/marine system,
which can be viewed as specialized iterations of the  general model
(Figures 1  and 3).  The relationship to the  terrestrial and
freshwater systems have been alluded to earlier (Figure 2).  Thus,
it is sufficient here to outline the significant differences and
inter-relationships applicable to these  regions of  the environment.

The physical state of a compound in  a system depends  on its  relation
with the other components of the system,  a behavior which can  ideally
be described by distribution constants when  at  equilibrium.  For
instance, the pharmaco-dynamic action of  many drugs depends  on their
relative ability to bind to different sites.  In such a fashion,  the
bloodstream may act as a reservoir permitting slow  release of  a drug
to assure its long-term action.  This ability to bind substances  can
occur anywhere.  The toxicity of a pollutant must thus be evaluated
in terms of the physical state(s) in which it shows toxicity and  not
merely by its observed concentration. With  regard  to availability to
a carnivore, a pollutant adsorbed to detritus may be  as unavailable
as that adsorbed to a grain of sand.

Figure 14 is a schematic diagram of  flow  of  a chemical through an
estuary.  It should be pointed out strongly  that the  estuarine system
is exceedingly complex and any simulation will  require time  and caution,

Figure 15 is a representation of functional  interactions at  the
interfaces between the estuary and other  indicated  ecosystems. The
arrows indicate possible flux of chemicals without  regard to form and
origin.  Interactions in the estuary are  treated in a more precise
conceptual fashion in Figure 14.
                                  55

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              SOURCE
                                      PHYSICAL FORM
                                                                 RESERVOIR
                                                                                                 LOSS
cn
01
                        Figure  14:   Simple Model of Transport  in  Estuaries.

-------
The following definitions  apply to Figure  15  only:

     Run-off:  Any transport from land  adjacent  to  an estuary,
     including drainage not covered by  river  flow,  such  as non-
     specific drainage from swamps.
     Tidal  action:  Any transport mediated by tidal  flushing  and
     tidal  currents.
     Biota-mediated flux:   Any transport of organisms from one
     domain (sea coast, ocean, and fresh water)  to  another, such
     as in the case where  a predator leaves its  domain to feed in
     another domain, possibly itself becoming prey,  or contamination
     through excretions (feces, urine,  and regurgitated  pellets).
     Emigration and immigration are also included.
     River flow:  Any transport mediated by a river  or rivulet.
     This includes adsorbed as well as  non-adsorbed  materials.
     Atmospheric disturbances:  1) Any  transport caused  by
     unusually high tides  due to strong winds. 2) Any transport
     caused by agitation of the sediment or shore/bank by
     abnormally strong wave action or currents due to strong winds.
     Turbulence:  Any transport due to  abnormal  mixing caused by
     eddies (underwater storms).
     Tides and Currents:  Any transport due to normal tides and
     currents.
     Fal1-out:  Any transport via the atmosphere.
                                  57

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en
00
                                                ATMOSPHERE







INORGANIC
PARTIC
ULATES





ORGANIC
PARTJC
ULATES

AEROSOLS
T^
^
                          Figure 15:  Expanded,  Iterated Basic  Chemical  Module  for
                                      Transport  of Chemicals  in Estuaries.

                Open arrows indicate transport between modules  via Run-off,  River flow, Tidal
                action. Turbulence, Fallout, and Atmospheric  disturbances.

                                       Biota-mediated Flux (overlay).
                Solid arrows indicate unspecified migration,  predation,  life cycle-related
                changes, and transport-dependent movement between food webs  associated with
                chemical modules representing environmental  regions.

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                           SECTION VIII

                            REFERENCES
AHR, W. M.   (1973).   Long lived pollutants in sediments from the
     Laguna Atacosa  National  Wildlife Refuge, Texas.   Geol.  Soc.
     Amer.  Bull. 84, 2511.

BERTALANFFY, L. VON.  (1963).  "General  Systems Theory."  George
     Braziller, Inc., New York. p.  289.

BISCHOFF, K. B. and R.  G. BROWN.   (1966).   Drug distribution in
     mammals.  Chem. Eng. Prog. Symp. Ser. A 6_6, 32.

CANNON, R. H.   (1967).   "Dynamics of Physical Streams."  McGraw-Hill,
     New York.  p. 1093.

CHILD, G. I. and H.  H.  SHUGART, JR.   (1972).  Frequency response
     analysis of magnesium cycling in a  tropical forest ecosystem,
     J_n_ "Systems Analysis and Simulation in Ecology,"   Vol.  II,
     B. C. Patten (ed).  Academic Press, New York.   p. 592.

CLOSE, C. M.   (1963).  "Notes on the Analysis of Linear Circuits."
     Rensselaer Polytechnic Institute, Troy, N. Y.   p. 123.

COMMONER, B.   (1971).  "The Closing Circle."  Alfred  A. Knopf, Inc.,
     New York.  p. 326.

DeRUSSO, R. M., R. ROY and C. CLOSE.  (1965).  "State Variables for
     Engineers."  John Hi ley and Sons, Inc., [Jew York.

DUCE,  R. A., J. G. QUINN, C.  E. OLNEY, S.  R. PIOTROWICZ, B.  J. RAY
     and T. L.  WADE.   (1972).  Enrichment of heavy  metals and organic
     compounds  in the surface microlayer of Narragansett Bay, Rhode
     Island.  Science 176, 161.

EBERHARDT, L.  L., R. L. MEEKS and T. J.  PETERLE.  (1971).  Food chain
     model for  DDT kinetics in a freshwater marsh.   Nature  230, 60.

ELZY,  E., F. T. LINDSTROM, L. BOERSMA, R.  SWEET and P. WICKS.  (1974).
     Analysis of the movement of hazardous chemicals  in and from a
     landfill  site via a simple vertical-horizontal routing model.
     Oregon State Agricultural Experiment Station Special Report No.
     414, Oregon State University, Corvallis, OR 97331.  110 pp.
                                   59

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FORRESTER, J. W.  (1971).   "World Dynamics."   Wright-Allen  Press,
     Cambridge, Mass.  142 pp.

HANNON, B.  (1973).   The structure of ecosystems.  J. Theor. Biol.
     41.
HARRISON, H. L., 0.  L.  LOUCKS,  J.  W.  MITCHELL,  D.  F. PARKHURST,
     C. R. TRACY, D. G.  WATTS and  V.  J.  YANNACONE, JR.  (1970).
     Systems studies of DDT transport.   Science 170, 503.

HILL, J., IV  (1973).  Component Description  and Analysis of
     Environmental  Systems.  Masters  Thesis.   Utah State Univ.,
     Logan, Utah. p. 94.

HOLLEY, E. R. and G. ABRAHAM.  (1973).   Field tests on  transverse
     mixing in rivers.   J.  Hydraulics Div.  ASCE.  HY12, 2313.

HUANG, J.  (1971).   Organic pesticides  in the aquatic environment.
     Water and Sewage Works.  May, 139.

HUTCHISON, G. E.  (1948).   Circular causal  systems in ecology.
     Ann. N. Y. Acad. Sci .  50,  221.

HUTCHISON, G. E.  (1957).   "A Treatise  on Limnology."   John Wiley
     and Sons, Inc., New York.   p. 1015.

KENAGA, E. E.  (1972).   Guidelines for  environmental study of
     pesticides: determination  of  bioconcentration potential.
     Res. Rev. 44,  73.

KARNOPP, D. and R.  C. ROSENBERG.  (1968).   "Analysis and Simulation
     of Multiport Systems."  Massachusetts  Institute of Technology.
     Cambridge, Mass.  p.  221.

KUO, B. C.  (1962).   "Automatic Control  Systems."  Prentice-Hall.
     Englewood Cliffs.  N.J.  p. 504.

LEONTIEF, W. W.  (1966).  "Input-Output Economics."  Oxford
     University Press,  New York.

LINDSTROM, F. T., J. W.  GILLETT and S.  C.  RODECAP.  (1974).
     Distribution of HEOD (dieldrin)  in mammals:  I.  Preliminary
     model.  Arch.  Environ. Contam. Toxicol.  2_,  9.

MEADOWS, D. H., D.  L. MEADOWS,  J.  RANDERS and W.  H. BEHRENS, III.
     (1972).  "The Limits  to Growth"  Universe  Books, New York.
     p. 205.
                                  60

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METCALF, R. L., G. K. SANGHA and I. P. KAPOOR.  (1971).  Model
     ecosystem for the evaluation of pesticide biodegradability
     and ecological  magnification.  Environ. Sci.  Technol.  5_, 709.

MOORE, N. W.  (1967).  A synopsis of the pesticide problem, j_n_
     "Advances in Ecological Research," Volume 4,  J. B. Cragg,
     (ed).  Academic Press, p. 75-128.

NISBET, I. C. T. and A. F.  SAROFIM.  (1972).  Rates and routes
     of transport of PCBs in the environment.  Environ. Health
     Perspect. ]_, 21.

ODUM, E. P.  (1971).  "Fundamentals of Ecology."  Saunders,
     Philadelphia,  p. 574.

ODUM, H. T.  (1972).  An energy circuit language for ecological
     and social systems:  Its physical basis, I.n_ "Systems  Analysis
     and Simulation in Ecology,"  Vol. II, B. C. Patten, (ed).
     Academic Press.  New York.  p. 591.

O'MELIA, C.  R.  (1972).  An approach to the modeling of lakes.
     Hydro! ogie 34, 1.

PATTEN, B. C.   (1971).  A primer for ecological  modeling and
     simulation with analog and digital computers, J.n_ "Systems
     Analysis and Simulation in Ecology,"  Vol..  I.  B.  C.  Patten
      (ed).   Academic Press, New York.

PATTEN, B. C.   (1973).  Need for an ecosystem perspective  in
     eutrophication modeling, J.n_ "Modeling the Eutrophication
     Process,"  E. J. Middlebrooks, D. H. Falkenborg, and T. E.
     Maloney (eds).  Utah Water Research Laboratory, Logan  Utah.
     p. 227.

PATTEN, B. C., W. G. CALE, J. FINN AND R. BOSSERMAN.  (In  Press).
     Propagation of cause in ecosystems, lr\_ "Systems Analysis and
     Simulation in Ecology,"  Vol. IV, B. C. Patten (ed.).
     Academic Press, New York.

QUINLAN, A.  (1974).  Personal Communication.

RANDERS, J.  and D. L. MEADOWS.  (1971).  "System Simulation to
     Test  Environmental Policy:  A Sample Study of DDT Movement
     in the  Environment."  System Dynamics Group,  Alfred P. Sloan
     School of Management, Massachusetts Institute of Technology.
     Cambridge, Mass.  52 pp.
                                   61

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SCHINDLER, J.  (1974).   Personal  Communication.

TOMOVIC, R. and M.  VAKOBRATOVIC.   (1972).   "General Sensitivity
     Theory."  Elsevier, New York.

ULANOWICZ, R. E.   (1972).   Mass and energy  flow  in closed ecosystems.
     J. Theor. Biol. 34, 239.

WEBSTER, J. R., J.  B.  WAIDE and B.  C.  PATTEN.   (In Press).  Nutrient
     cycling and ecosystem stability,  In,  "Mineral Cycling in
     Southeast Ecosystems," F.  Howell  Ted).  AEC  Symposium Series.

WOODWELL, G. M., C. F.  WURSTER, JR. and P.  A.  ISSACSON.   (1967).
     DDT residues in an East Coast estuary:   A case of  biological
     concentration of persistent insecticide.   Science  156, 821.

WOODWELL, G. M., P. P. CRAIG and H. A. JOHNSON.   (1971).  DDT  in the
     biosphere:  Where does it go?  Science 174, 1101.
                                   62

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                            SECTION IX

       KEY LITERATURE SOURCES FOR PESTICIDE EFFECTS  RESEARCH
GENERAL TEXTS - CHEMISTRY, MODELING AND BIOLOGY

ASHTON, F.  M. and A.  S.  CROFTS.   (1973).   "Mode of Action of
     Herbicides."  John  Wiley and Co.,  New York.    504 pp.

AUDUS, L.  J.   (1964).   "The Physiology  and Biochemistry of
     Herbicides."  Academic Press,  London.  555 pp.

DeRUSSO, R. M., R.  ROY and C. CLOSE.   (1965).   "State Variables  for
     Engineers."  John Wiley & Sons,  Inc., New York.

FEST, C. and K. J.  SCHMIDT.  (1973).   "The Chemistry  of
     Organophosphorus  Insecticides; Reactivity, Synthesis,  Mode  of
     Action, Toxicology."   Springer Verlag,  Berlin; New York.   339 pp.

JACQUEZ, 0. A.  (1972).   "Compartmental  Analysis  in Biology and
     Medicine."  Elsevier, New York.  237  pp.

KARNOPP, D. and R.  C.  ROSENBERG.   (1968).   "Analysis  and Simulation
     of Multiport Systems."  Massachusetts Institute  of Technology,
     Cambridge, Mass.   221 pp.

KEARNY, P.  C. and D.  D.  KAUFMAN.   (1969).   "Degradation of
     Herbicides."  M.  Dekker, New York.  394 pp.

LUKENS, R.  J.  (1971).  "Chemistry  of Fungicidal  Action."   Springer
     Verlag, New York  130  pp.

MEYER, J.  H.   (1971).   "Aquatic  Herbicides and Algaecides." Noyes
     Data Corp., Park  Ridge, N.  J.   176  pp.

O'BRIEN, R.  (1967).   "Insecticides:  Action and  Metabolism."
     Academic Press,  New York.  332 pp.

SONDHEIMER, E. and  J.  B.  SIMEONE.   (1970).   "Chemical  Ecology."
     Academic Press,  New York.  336 pp.
                                 63

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REPORTS OF FEDERAL AGENCIES OF BROAD PROBLEMS
BALDWIN, I. L.  (1962).  Pest Control  and Wildlife Relationships.
     National Acad. Sci., National  Res.  Council.

JENSEN, J. H.  (1965).  Report of the  Pesticide Residues  Committee.
     National Acad. Sci., National  Res.  Council.

             _.  (1969).  Report of the Committee  on Persistent
     Pesticides.  Div. of Biology and Agriculture,  National  Res.
     Council to USDA.

MacLEOD, C. M.  (1963).  Use of Pesticides.   President's Science
     Advisory Comm.

MRAK, E. M.  (1969).  Report on the Secretary's Commission on
     Pesticides and Their Relation to Environmental Health.   To
     U.S.D.H.E.W.
TECHNICAL DATA
ANON.  (1972).  Ecological Research Series.   Office of Research  and
     Monitoring.  U.S. Environmental Protection Agency,  Washington,
     D.C.  Example:  An Evaluation of DDT and Dieldrin in  Lake
     Michigan.  EPA-R3-72-003, August.

	.  (1969).  Effects of Pesticides in Water.   A Report  of the
     States.  U.S. Environmental  Protection  Agency.  Office  of
     Research and Development.

	.  (1969).  "Fish and Chemicals."  A Symposium on Registration
     and Clearance of Chemicals for Fish Culture and Fishery
     Management.  99th Annual Meeting of the American Fisheries
     Society, New Orleans, Louisiana.  September 12, 1969.

	.  (1958-59).  Handbook of Toxicology.   National Acad. Sci.,
     National Res. Council, Saunders, Philadelphia.

     Vol. I.  Acute Toxicities of Solids, Liquids, and Gases to
      Laboratory Animals.  W. S.  Spector, ed.
     Vol. III.  Insecticides.  W.  0. Negherbon,  ed.
     Vol. V.  Fungicides.  D. S.   Dittmer,  ed.

	.  (1972).  Pesticide Study Series 2, 3, 5,  6, 7, 8, 9,  and  10.
     Environmental Protection Agency, Office of Water Programs.
                                  64

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	.   U.S. Department of the Interior.   Office of Water Resources
     Research.  Bibliography Series.  Water Resources Scientific
     Information Center, Washington, D.  C.   Examples:  DDT in Water -
     VJRSIC 71-211; Dialdrin in Hater - WRSIC 72-202;  Aldrin and
     Endrin in Water - WRSIC 72-203.

	.   (1972).  Water Quality Criteria.   A Report of  the Committee
     on Water Quality Criteria.   Environmental  Studies Board.
     National Academy of Sciences.   National Academy  of Engineering,
     Washington, D.C.

	.  (1971).  Water Quality Criteria Data Book.  Volume 3.   Effects
     of Chemicals on Aquatic Life.   Water Pollution Control Research
     Series 18050 GWV 05/71.

DYRSSEN, D. and D. JAGNER.  (1972).   "The Changing Chemistry  of the
     Oceans."  Proceedings of the 20th Nobel Symposium, August 16-20,
     1971, Goteborg, Sweden.  Wiley-Interscience, New York.  365 pp.

EISLER, R.   (1970a).  Factors affecting pesticide-induced toxicity
     in an estuarine fish.  U.S. Bureau of Sport Fisheries and
     Wildlife Technical Paper No. 45.

	.   (1970b).  Acute toxicities of organochlorine and
     organophosphorus insecticides  to estuarine fishes.  U.S. Bureau
     of Sport Fisheries and Wildlife Technical  Paper  No. 46.

EPSTEIN, S. S. and M. S. LEGATOR.  (1971).   "The Mutagencity  of
     Pesticides."  MIT Press, Cambridge, Mass.

GILLETT, J. W. (ed.).  (1970).  "The Biological Impact of Pesticides
     in the Environment."  Environmental Health Sciences Series No. 1,
     Oregon State University, Corvallis, Oregon.

HEATH, R.  6., J. W. SPAWN, E. F. HILL and J. F. KREITZER.  (1972).
     Comparative Dietary Toxicities  of Pesticides to  Birds.  U.S.D.I.,
     Fish  and Wildlife Service, Bureau of Sport Fisheries and Wildlife.
     Special Sci. Report-Wildlife No. 152.   Washington, D.C.

KRAYBILL,  H. G.  (ed).  (1969).  Biological  Effects of Pesticides
     in Mammalian Systems.  Ann. M.  Y. Acad. Sci. 160.

PIMENTAL D.   (1971).  "Ecological Effects of Pesticides on Non-Target
     Species."  Executive Office of the President, Office of  Science
     and Technology.  Washington, D.C.

ROSEN, A.  A. and H. F. KRAYBILL (eds).\  (1966).  "Organic Pesticides
     in the Environment."  Adv.  in  Chem. Series 60_.  American
     Chemical Society, Washington,  D.C.


                                    65

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STICKEL, L. F.  (1968).   "Organochlorine Pesticides  in the
     Environment."  U.S.D.I., Fisheries and Wildlife Service,  Bureau
     of Sport Fisheries  and Wildlife.   Special  Sci.  Report-Wildlife
     No. 119.

TUCKER, R. K. and D. C.  CRABTREE.   (1970).   Handbook of Toxicity
     of Pesticides to Wildlife.   U.S.D.I.,  Fish and  Wildlife
     Service, Bureau of Sport Fisheries and Wildlife.   Research
     Publication No. 84, Washington, D.C.

WILKINSON, B. K., L. S.  CORRILL  and E.  D.  COPENHAVER.   (1974).
     "Environmental Transport of Chemicals  Bibliography."
     Oakridge National Laboratory (ORNL-E1S-74-68).   185 pp.

TECHNICAL JOURNALS AND PERIODICALS

Archives of Environmental Contamination and Toxicology.  Springer
     Verlag (Quarterly).

Bulletin of Environmental Contamination and Toxicology.  Springer
     Verlag (Monthly).

Comparative Biochemistry and Physiology.  Pergammon  (Monthly).

Environmental Science and Technology.   American Chem.  Soc.  (Monthly).

Journal of Agricultural  and Food Chemistry.  American  Chem. Soc.
     (Bimonthly).

Journal of Fisn Biology (Quarterly).

Journal of the Fisheries Board of Canada (Monthly).

Journal of the Water Pollution Control  Federation  (Quarterly).

Journal of Wildlife Management (Quarterly).

Limnology and Oceanography (Bimonthly).

Marine Pollution Bulletin (Monthly).

Nature (Weekly).

Pesticide Abstracts.  EPA - Office of Pesticide Programs,
     Washington D.C. (Monthly).
                                 66

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Pesticide Biochemistry and Physiology.  Academic Press.
     New York (Monthly).
Pesticide Monitoring Journal.  EPA, Washington, D.C. (Quarterly).
Residue Reviews.  Springer Verlag (Irregular - several  volumes
     per year).
Science.  Amer. Assoc. Adv. Sci. (Weekly).
Soil Science.  Amer. Soc. Soil Science (Monthly).
Toxicology and Applied Pharmacology.  Society of lexicologists
     (Monthly).
Transactions of the American Fisheries Society.  Allen Press, Inc.
     (Quarterly).
Water  Pollution Control  Federation Journal (Monthly).
Water  Research  (Monthly).
Weed Science.  Amer. Weed Soc. (Bimonthly).

ABSTRACT SOURCES

Biological Abstracts  (Semi-monthly).
Chemical Abstracts  (Weekly).
Pesticide Abstracts (Monthly).
Sport  Fishery Abstracts  (Quarterly)..
Water  Pollution Abstracts (Monthly).

COMPUTER LITERATURE SEARCH DATA BASES

Medline (Biomedical) National Library of Medicine.
Toxline (Toxicology) National Library of Medicine.
WRSIC   Water  Resources Scientific Information Center
                                    67

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SIE  Science Information Exchange.   Smithsonian  Institution,
     Washington, D.C.

NTI  Search  U.S. Department of Commerce.

ISI  Institute for Scientific Information.


FEDERAL AND STATE RESEARCH LABORATORIES  WHERE

BOTH DATA AND INTERPRETATION OF DATA IS  AVAILABLE
National Water Quality Laboratory.  Pesticide Research Team.
     Mr. John G. Eaton, Coordinator.  Duluth, Minnesota   55804.

Fish Control Laboratory, U.S.  Bureau of Sport Fisheries  and Wildlife,
     P.O. Box 862, LaCrosse, Wisconsin  54601.

Fish-Pesticide Research Laboratory, Bureau of Sport Fisheries  and
     Wildlife, Route 1, Columbia, Missouri  65201.

Radiation and Metabolism Laboratory, U.S. Department of  Agriculture,
     Fargo, North Dakota  58102.

Gulf Breeze Environmental  Research Laboratory, Sabine Island,  Gulf
     Breeze, Florida  32561.

Newtown Fish Toxicology Station, U.S. Environmental Protection Agency,
     3411 Church Street, Cincinnati, Ohio  45244.

Southeast Environmental Research Laboratory, U.S.  Environmental
     Protection Agency, College Station Road, Athens, Georgia  30601.

Perrine Primate Laboratory, Wenatchee Research Section,  U.S.
     Environmental Protection Agency, P.O. Box 73,  Wenatchee,
     Washington  98801.

U.S. Environmental Protection Agency Laboratory,  Region  10, 15345 N.E.
     36th Street, Redmond, Washington  98052.

Office of Pesticide Programs, Criteria and Evaluation Division, U.S.
     Environmental Protection Agency, Washington, D.C.   20250.

Gulf Coast Water Supply Laboratory, U.S.  Environmental Protection
     Agency, P.O. Box 158, Dauphin Island, Alabama   36528.

Idaho Fish and Game Department, P.O. Box 25, Boise, Idaho 83707.
                                  68

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Fish Control Laboratory, U.S.  Bureau of Sport Fisheries  and Wildlife,
     Route 1, Box 9, Warm Springs, Georgia   31830.

Southeastern Fish Cultural Research Laboratory,  U.S.  Bureau of Sport
     Fisheries and Wildlife, Marion, Alabama  36756.

U.S. Environmental Protection  Agency, Pesticide  Monitoring Laboratory,
     Bay St. Louis, Mississippi   29520.

Great Lakes Fishery Laboratory,  Bureau of Commercial  Fisheries, Fish
     and Wildlife Service, U.S.  Department  of the Interior, Ann Arbor,
     Michigan  48107.

Wisconsin Department of Natural  Resources,  P.O.  Box 450,  Madison,
     Wisconsin  53701.

Agricultural Research Service  Laboratories  (U.S.  Department of
     Agriculture) Regional.
          (Studies on nuisance aquatic insecticides,  herbicides, etc.)

Department of Defense, Naval Ship Research  and Development, Center,
     Annapolis, Maryland  21402.
          (Anti-Fouling Agents)

National Agricultural Library, U.S. Department of Agriculture,
     Beltsville, Maryland  20705.

Alaska  Department of Environmental Conservation,  Pouch 0,  Juneau,
     Alaska  99801.

Conservation Library Center, Denver Public  Library, 1357  Broadway,
     Denver, Colorado  80283.

Division of Pesticide Community  Studies, Office  of  Pesticide  Programs,
     Environmental Protection  Agency, 4770  Buford Highway, Chamblee,
     Georgia  30341.

Gulf South  Research Institute, P.O. Box 1177,.New Lberia,  Louisiana
     70560.

Fish Control Laboratory, U.S.  Bureau of Sport Fisheries  and Wildlife,
     Route  1, Box 9, Warm Springs, Georgia   31830.

Fish Farming Experimental Station, U.S. Bureau of Sport  Fisheries and
     Wildlife, Box 860, Stuttgart, Arkansas   72160.
                                  69

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National Agricultural  Chemicals  Association,  1155  15th St.  NW,
     Washington, D.C.   20005.

Division of Biology and Agriculture,  National  Research Council, 2101
     Constitution Ave. NW, Washington,  D.C.   20418.

New Hampshire Pesticides Control  Board,  State House Annex, Room 201,
     Concord, New Hampshire  03301.

New York State Department of Environmental  Conservation, 50 Wolf Rd. ,
     Albany, New York   12201.

Patuxent Wildlife Research Center.   Laurel, Maryland  20810.

lexicological Research Laboratory.   Veterinary Sciences Research
     Division.  Agricultural Research Service, USDA,  P.O. Box  311,
     Kerrville, Texas   78028.

Community Study Pesticide Project.   Idaho Department  of Health,
     Statehouse, Boise, Idaho  83707.

Division of Wildlife Services.   Bureau of Sport Fisheries and
     Wildlife.  U.S. Department of the Interior,  1717 H Street NW,
     Washington, D.C.   20240.

Denver Wildlife Research Center.   U.S.  Bureau of  Sport Fisheries and
     Wildlife, Building 16, Federal  Center,  Denver, Colorado   80225.
COLLEGES AND UNIVERSITIES ASSOCIATED WITH

PESTICIDE RESEARCH OR PESTICIDE INFORMATION
Water Resources Research Institute, 314 Nuclear Science Center,
     Auburn University, Auburn, Alabama  36830.

Lake Ontario Environmental  Laboratory, College  at Oswego, State
     University of New York, Oswego, New York   13126.

Colorado State University,  Fort Collins, Colorado  80521.

Department of Zoology, Mississippi  State University, Mississippi
     State, Mississippi  39762.

Department of Fisheries and Wildlife, Michigan  State University,  East
     Lansing, Michigan  48823.
                                   70

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Department of Entomology, School  of Life  Sciences,  University of
     Illinois, Urbana-Champaign,  Illinois  61801.

Oregon State University, Corvallis, .Oregon  97331.

Department of Entomology, Fisheries, and  Wildlife,  University of
     Minnesota, St.  Paul, Minnesota  55101.

Cornell Pesticide Residue Laboratory, Cornell  University,  Ithaca,
     New York  14850.

Trace Level Research Institute,  Purdue University,  Lafayette,
     Indiana  47907.

Department of Environmental  Health, University of  Cincinnati  College
     of Medicine, Cincinnati,  Ohio  45219.

Biological Sciences  Library, University of New Hampshire,  Kendall
     Hall, Durham, New Hampshire   03824.

College of Agriculture and Environmental  Science,  Rutgers—the State
     University, New Brunswick,  New Jersey  08903.

Institute of Biological  Sciences,  School  of Agriculture  and Life
     Sciences, North Carolina  State University,  Box 5306,  Raleigh,
     North Carolina   27607-

Rhode  Island Agricultural Experiment Station,  University of Rhode
     Island, 113 Woodward Hall,  Kingston, Rhode  Island   02881.

University of California, Berkeley, Department of  Entomology  and
     Parasitology, Berkeley, California  94720.

University of California, Davis,  Department of Environmental
     Toxicology, Davis,  California  95616.

University of California, Riverside, Department  of  Entomology,
     Riverside, California  92502.

Louisiana Cooperative Wildlife Research Unit.   Louisiana State
     University, Baton Rouge,  Louisiana  70803.

Massachusetts Cooperative Wildlife Research  Unit.   University of
     Massachusetts,  Amherst, Massachusetts   01003.

South Carolina Community Pesticide Study.  Medical  University of
     South Carolina, 80  Barre  Street, Charleston,  South  Carolina
     29401.
                                  71

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College of Forest Resources.   University  of Washington, Seattle,
     Washington  98105.
SOME PRIVATE CORPORATIONS HAVE  PERFORMED

PESTICIDE RESEARCH AS RELATED TO AQUATIC  LIFE
Bionomics, Inc., P.O. Box 135,  Main  Street, Wareham, Massachusetts
     02571.

Industrial Bio-Test Laboratories,  Inc.,  1810  Frontage Road,
     Northbrook, Illinois  60062.

Envirogenics Company, Division  of  Aerojet-General  Corporation,
     El Monte, California  91734.

Union Carbide Corporation, Tarrytown Technical  Center, Tarrytown,
     New York  10591.

Lakeside Laboratories, 1707 East North Ave.,  Milwaukee, Wisconsin
     53201.

Syracuse University Research Corporation, Merrill  Lane, University
     Heights, Syracuse, New York  13210.
                                    72

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                             APPENDIX

GRAPHIC REPRESENTATION OF PESTICIDES  IN AQUATIC SYSTEMS

In approaching any problem,  an investigator must first form a
mental  image or conceptual  model  of the system.   This  conceptual
model usually is not well  defined and varies considerably  from one
investigator to another.   With the complex  problems  associated with
environmental systems, solving and/or communicating  the  conceptual
model requires translation into the nonempirical  language  of
mathematics or symbolic logic.

Since direct translation  of the conceptual  model  into  mathematical
representation is awkward and difficult,  the initial description  is
best formulated into a graphic symbolism.   The  nature  of the graphic
description is dependent  upon the investigator's  conceptualization of
the processes, the degree of resolution required,  and  data  that are
available or that can be  measured from experiments with  the system.
The graphical representation is the heart of systematic  experimental
design because the applicability of the ensuing  analysis is limited
by the ability of the investigator to represent  his  conceptual  model
of the system processes in graphic form.  There  is no  best  or correct
graphical representation  of  a system.   They differ only  in  the degree
of realism and utility.

Graphical representations  can be improved by iteration.  After
application of analytical  techniques,  any unusual  or unexpected
storage levels or flow rates may require modification  of the
components or connectivity of the original  graphical representation.
The nature of the iterative  interactions  among  the graphical
representation, the mathematical  model, and data  acquisition is
presented in Figure A-l.

                                  73

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                        Graphical Representation
                          Alternative Hypotheses
                               Qualitative
     Mathematical Model
          Analysis
        Quantitative
                                 Data Aquisition
                                   Experiment
                                   Constraints
     Figure A-l:
Relationship Among Graphical Representations,
The Mathematical Model and Data Acquisition
(from QUINLAN, 1974).
Circuit diagrams  (CLOSE,  1963) compartment diagrams  (ODUM, 1971),
block diagrams  (KUO,  1962)  signal  flow  graphs  (KUO,  1962), bond
graphs (KARNOPP and ROSENBERG, 1968), energy circuit language (ODUM,
1962), and Forrester  diagrams  (FORRESTER, 1971; MEADOWS et al., 1972)
are all examples of graphical  representations of systems.  Each has
advantages and  disadvantages depending  upon the nature of the system
to be described.

Bond graphs are excellent symbolic representations for
environmental systems in which energy flow is of primary concern
and in which complementary  variables (a potential  and a related flux)
may be defined.  Compartment diagrams are useful  representations of
                                  74

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environmental  systems when mass or energy storage and  their rates
of exchange are of interest but complementary variables  are not
explicitly defined (ULANOWITZ,  1972).   Signal  flow graphs  and
associated control system analysis techniques are valuable when
feedback control  properties of  the system are of primary concern.
Forrester diagrams may be used  in the  general  case to  represent
interactions,  transformations,  and transports  of mass  or energy
without recourse to specific component equations or other  constraints
upon the system variables.

A Forrester diagram can be used to present a  conceptual  model  of the
transport and transformation of pesticides in the aquatic  environment.
From this presentation a reduced or working model  in compartment form
may be derived for a specific pesticide and specific ecosystem.  The
compartment diagram should include the mathematical  form of the
interactions and can provide a  basis for preliminary system analysis
as an aid to experimental  design.

Forrester Diagrams

In Forrester diagrams of dynamic systems,  six symbols  are  commonly
used.
          A solid line represents  a  directed  pathway  for transfer
           of matter or energy.
          A dashed line represents a directed pathway  for control
           or information  transfer.
          The cloud symbol  represents  a  source or sink (input or
           output) outside  the  defined system boundaries.
          A rectangle indicates  storage  of matter or  energy.
          The valve symbol  indicates rates along the  associated
           pathway.
          Finally, the circle represents  coefficients  and
           parameters that  affect  flow rates.

The degree of resolution or complexity of the Forrester diagram of  a
                                 75

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system may vary considerably depending upon  application and resources
available for  evaluating  the hypothesis.  While there  appears to  be
no  upper limit to the  resolution of a model,  the lower limit  (a single
storage component) is  demonstrated  for a stream and a  lake in the
following examples (Figures A-2 and A-3) from O'MELIA  (1972).   The
low  level of resolution in these examples does  not necessarily imply
that  there is  a better representation for a  particular application.
                              1
                              i
                           Input Rate
                            Output Rate
f
1
[



/
/
/
©






  Figure A-2:
   — =K,L-K?D    where D = oxygen deficit, 1= BOD remaining,
                   KI = deoxygenation coefficient, and
                   Kj = reaeration coefficient.
Streeter-Phelps  Oxygen  Deficit Model  for a Stream.
                              t
       [X]   '"put Rate
                              ©
                               i
                               *
                                            Output RKe
                             O
                             ©
                                      M,
                                 Nutrient Concentration
                    -5^ = — -|o + q)M, where M. = concentration of nutrient,
                     *   Z
                                      j = flux of M to lake,
                                      o = sedimentation coefficient,
                                      q = flow coefficient, and Z= mean l*e depth.
        Figure A-3:  Vollenweider  Lake Eutrophication Model
                                      76

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One manner of increasing the resolution  of  a model is to divide a
single storage component into sub-units, which may have differing
rates of input or output for the  stored  variable.  For example, the
nutrient concentration  in the lake  (Mw)  from Figure A-3 may be divided
between abiotic storage (Ma) and  biotic  storage  (Mb) with the result
shown in Figure A-4.   If the output rate (from sedimentation and flow)
of the nutrient stored  in the biotic component differs from that of
the nutrient stored in  the abiotic  component, then the mean residence
time is changed and the dynamic behavior of the  nutrient output may
be changed considerably from the  single storage  representation.

Another means of increasing the resolution  of the representation is
to include a time-varying parameter instead of the mean value of an
exogenous variable that controls  a  rate of  flow  for an endogenous
variable.  Thus, instead of a mean  lake depth (Z), a time varying
lake depth [Z(t)] could be incorporated in  the model.

Finally, the rate controlling flow  and storage may be explicitly
included in the representation and  the two  resulting subsystems can
be realistically coupled (HARRISON  et al.,  1970).  This is
demonstrated in Figure  A-5 for the  biotic component of the lake
model in Figure A-4.  These expansions of the diagrams may continue
until the point of diminishing returns is reached with respect to
either application or resources.
                                 77

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                       *
   [X]    Input Rate
                                  0©
                      i     *
                    |    Output Rate   |)>
-------
                    Concentration in
                    Biotic Component
         Rate
      Coefficient
          t
[X]   Uptake Rate
       Growth Rate

         Rate
      Coefficient
                                              Rate
                                           Coefficient.
                                               t
                                    •|   Output Rate   |Xl
                                         Death Rate
                                              Rate
                                           Coefficient
                             i
                           B
                       Biomass
      Coefficient	"H    R"Pira"°n  1X1
Figure A-5:
         Possible  Coupling of Biomass (B)  Subsystems
         with Nutrient Concentration (Mb)  Subsystems,

                         79

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                                                   iJAlA
                            (I'lrase read Instructions on the reverse before completing)
4. TITLt AND SUBTITLE
 A Conceptual Model for the Movrment of  Pesticides
 through the Environment:  A Contribution of the EPA
 Alternative Chemicals Program            	
I. HI PORT NO.
                             2.
                                                           3. RECIPIENT'S ACCESSION-NO.
                                                           5. REPORT DATE
                                                             November  1,  1974
                                                           6. PERFORMING ORGANIZATION CODE
 . AUTHOR(S)
 .
 James W. Gillett,  James Hill IV, Alfred  W.  Jarvinen
 and W. Peter  Schoor
                                                           8. PERFORMING ORGANIZATION REPORT NO.
9. PERFORMING ORGANIZATION NAME AND ADDRESS
 National Ecological Research Laboratory
 Environmental  Protection Agency
 Corvallis, Oregon  97330
                                                           10. PROGRAM ELEMENT NO.

                                                                 1EA487
                                                           11. CONTRACT/GRANT NO.
17. SPONSORING AGENCY NAME AND ADDRESS

 Same
                                                           13. TYPE OF REPORT AND PERIOD COVERED
                                                                .Final
                                                           14. SPONSORING AGENCY CODE
 16. SUPPLEMENTARY NOTES
16. ABSTRACT xhis report presents a conceptual model of the movement and disposition of
 pesticides in the  environment.  A multi-media model is built up from simple modules
 representing basic processes and components of  air, soil, and water.  More specific
 models are exposited  for the atmospheric/terrestrial,  freshwater aquatic, and
 estuaring/marine environments.  Through iterative operations of expansion and
 systematic reduction  of the components and processes these models of segments of  the
 environment can be joined to provide a holistic view of the disposition of a chemical
 and its attendant  effects.   Ultimately systems  analysis and mathematical simulation
 techniques can be  employed to evaluate the fate of a specific chemical in a par-
 ticular environment.   The conceptual model is thus a first step in organizing facts,
 assumptions, and hypotheses into a graphic and  logical arm capable of exploitation
 in further experimentation of .pesticide disposition and effects.  While rejecting
 formulation of a model with global validity, the  authors emphasize the commonalities
 of the basic processes and components in the various environments.  Thus, a multi-
media approach to  disposition studies is made explicit even in the absence of a
 single all-media global model.
17.
                                KEY WORDS AND DOCUMENT ANALYSIS
                  DESCRIPTORS
                                              b.IDENTIFIERS/OPEN ENDED TERMS  C.  COSATI Field/Group
 Air Pollution
 Conceptual Model
 Ecology
 Environmental Biology
 Hazardous Materials
 Mathematical Model
 Pesticides	
 18. DISTRIBUTION STATEMENT
                        Systems Analysis
                        Water Pollution
Alternative Chemicals
  Program
Laboratory Microcosms
Simulated Ecosystems
1201
0611
0606
                                              19. SECURITY CLASS (ThisReport)
                                                   UNCLASSIFIED
                                                                        21. NO. OF PAGES
                                              20. SECURITY CLASS (Thispage)
                                                                        22. PRICE
EPA Form 2220-1 (9-73)
                            U.S. GOVERNMENT PRINTING OFFICE: 1974-697-650/65 REGION 10

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CONTRIBUTION  NO. 250

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                  Gulf Breeze Contribution 250
 In:  Marine Bioassays
     Proceedings of workshop sponsored by
     The Marine Technology Society,  1975.
(Entire proceedings may be  obtained  from
  The Marine Technology Society,  1730 M Street,  N.W.,
  Washington, D.  C. $18.00).
                         155

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HISTOIflGICAL AND PHYSIOLOGICAL EVALUATIONS IN SOME MARINE FAUNA

     The development of pathology, as applied to aquatic toxicology, depends
heavily on the knowledge of normal histology and physiology if anomalies, due
to pollutants or disease, are to be accurately defined.  However, at present,
knowledge of normal morphology or metabolic activities is either incomplete or
lacking for most marine or coastal organisms.

     Obviously, well-coordinated efforts will be required to characterize nor-
mal ranges and interpret the morphological or physiological responses of aqua-
tic organisms to various factors including pollutants.  Most laboratories can-
not justify well-defined pathological units, although the need often arises
through governmental enforcement organizations and other activities.  The tech-
niques and examples thus presented are intended to offer some means of  obtain-
ing evaluations of aquatic organisms' well-being or disorders.

I  - Histological Techniques

  A.- Fixation

     Freezing is useful for preserving tissue for chemical analyses, isolation
of viruses or for sectioning on a cryostat if very small pieces of fresh tis-
sue are frozen very rapidly as by irrmersion in liquid nitrogen.  Specimens
should never be frozen prior to routine histology because it destroys cells
and produces artifacts which make diagnoses difficult or impossible and pro-
hibits the taking of publishable photomicrographs.  A common freezing arti-
fact is rows of vacuoles resembling fat cells.  If a chemical fixative  is not
readily available, refrigeration or wet ice, for up to 24 hours, and then fix-
ing, is preferable to freezing.

     Chemical fixation, which is one of the most important steps in the prepa-
ration of specimens for histology, should be at or very close to the time of
death to  insure that tissues  are maintained as near to their natural state as
possible.  The chemical fixatives most commonly utilized for vertebrate and
invertebrate marine organisms are Bouin's, Buffered Formalin, Davidson's, Die-
trich's,  Zenker's and Kelly's.

      1)  Davidson's (Shaw S Battle, 1957) has proven to be an excellent fixa-
tive for  marine organisms.  This formula is close to that of Dietrich's, dif-
fering principally by using filtered seawater instead of distilled water, along
with the  addition of glycerol.  Results are particularly gratifying when the
seawater  used is close to the salinity of-water where organisms were obtained.
For Davidson's, prepare a stock solution consisting of 1 part glycerin; 2 parts
formalin; 3 parts 95% ethyl alcohol; and 1 part seawater.  Before use,  add one
part glacial acetic acid to 9 parts stock solution.  Fix in cold from 2t hours
to one week.  Store in 60-70% ethyl alcohol.

      2)  Ten percent formalin (1 part 1*0% formalin; 9 parts H.O) is a good
general fixative with several practical advantages: a) it can be transported
as a concentrate and diluted with local water at the collecting site, greatly
reducing  the weight and volume that must be carried.  After a mininum of 18
hours' fixation, the excess formalin can be discarded to facilitate the return
of the specimens to the laboratory where they should be reformalized; (b) spe-
cimens can be stored for extended periods in neutral buffered formalin.  If
initial fixation is unbuffered, it should be replaced as soon as practical
with buffered formalin; and (c) embedded formalin fixed tissue can be repro-
cessed for electron microscope studies with fair results.  Tissues fixed with
the acid  fixatives are unsuitable for subsequent electron microscope studies.

     The major disadvantage of formalin is that it penetrates slowly, allowing
deep tissues to autolyze before being fixed.  This disadvantage can be  avoided
if all body cavities are completely opened up and large tumors and organs are
sliced part way through, every centimeter.

      3)  Bouin's (75 ml picric acid; 25 ml UO* formalin; and 5 ml glacial ace-
tic acid) is excellent for fish tissue; it penetrates well and decals scales
and small bones.  Bouin's should be replaced with 70-80% ethanol between 18
and H8 hours and the alcohol changed regularly until the picric acid is mostly
                                      156

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 removed (routine histological processing removes some picric acid, but if the
 initial burden is heavy,  residual amounts will be carried through to the fini-
 shed microscope slides and can be seen as crystals  in the tissue).

       4) Glutaraldehyde is recommended for  tissues  to be studied by electron
 microscopy!   Porter's "formula contains 3% glutaraldehyde; 0.1 M (2.14 gm/100
 ml)  sodium cacodylate buffer; 0.002 M (0.022  gm/100 ml)  caCl,;  and 10% glucose.
 Adjust pH to 7.U with HCL or NaOH.  Cut pieces of tissue witn one dimension
 less than 1.0 mm with new alcohol-cleaned razor blades and  immerse for a mini-
 mum of two hours.   Keep refrigerated.  Tissues can  be safely stored in the
 fixative indefinitely.

      5) Dietrich's  FAA (10 ml 40% formalin; 2 ml glacial acetic acid; 30 ml
 95%  alcohol; 60 ml  JO) is recommended for  terrestrial and  aquatic arthropods
 and molluscs.  The  arthropods should  be fixed initially  in  a vacuum chamber
 to facilitate replacing the air in the trachea with the  fixative.  In the
 field, Dietrich's fixative has proven to be a very  satisfactory fixative of
 marine organisms, based on the following criteria:  (a) rapid tissue penetra-
 tion, (b) tissue preparation does not require transfers  to  other liquids,
 (c)  tissues, when fixed,  are firm but not brittle,  (d) fixed tissues may re-
 main in this preparation  for extended periods (not  to exceed 6  months, prefe-
 rably), (e)  decalcification occurs simultaneously with fixation (in small te-
 leosts and shrimps, decalcification is completed within  approximately 10 days),
 and most important, (f) superior cellular detail is obtained with routine his-
 tological processing.  Tissue-fixative proportion should not be less than 100
 grams of tissue per liter of fixative, or 10  times  the volume of fixative.

      In the  laboratory, excellent fixation  of tissues for light microscopy is
 accomplished with Kelly's or Zenker's fixative, but time and management of
 liquid changes can  often  be a deterrent to  the use  of these preparations.
 Therefore, Davidson's or  Dietrich's fixative  is used routinely  in many labora-
 tories .

      Teleost tissue fixation and preparation  for light microscopy should be
 done according to the following general guideline:  teleosts having a total
 length of t  cm or less are routinely  immersed directly into the fixative, and
 require no further  preparation prior  to trimming for parafin embedding.  Tele-
 osts t to 12 cm in  total  length are prepared  as follows: (1) immerse the whole
 animal in fixative  for 5  to 10 minutes, (2) remove  the whole animal and tran-
 sect the caudal peduncle  immediately  posterior to the anal  opening, (3) open
 the body cavity with a longitudinal,  ventral  incision, (4)  remove the opercula,
 and (5) complete the sagital section  of the organism after  approximately 30
 additional minutes  of fixation.  All  fishes greater than U  cm in length and
 all  crustaceans should be decalcified prior to final tissues trimming.  Com-
 mercially available products (Decal*) are available for  tissue  decalcification.
 Flat pieces  from biopsies and autopsies, such as skin, should be backed by a
 piece of thin cardboard before fixing to prevent shriveling.

     One of every five specimens, at least,  are  prepared  for examination by
transverse sectioning.  Transections,  at intervals  of approximately 1  cm,  are
made  beginning with ventral incisions that penetrate the soft tissues  to  the
vertebral column.  Following a preliminary fixation (approximately  30 minutes),
the transection is completed with the scalpel by a "sawing action".  However,
some instances may require "crushing", or forced penetration of ossified and
cartilagenous tissues.

     The following additional steps are normally required to prepare teleosts
having a total length greater than 12  cm:  (1) excess dorsal musculature is
trimmed away, (2) a dorsal-median incision is made to open the cranium,  (3)
lateral musculature of at least one flank is removed,  and finally (1)  the  ver-
tebral column is severed at intervals  of approximately 2  cm with scissors.
These tissues are returned to the fixative prior to triuming and embedding.

     Fixation is accomplished by immersion of select tissues or whole  animals
into the fixative.   Prior to immersion, soft-bodied species (i.e.,  those

 (*)  Omega Chemical, Cold Spring in Hudson,  New York, N.Y.   Mention of this
     product  does not constitute endorsement.


                                      157

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without firm skeletons such as roundworms, flatworms, and octopods) are relax-
ed in MgCl2, chlorobutanol, refrigeration, etc.), arthropods have their exo-
skeletons opened and trapped air evacuated from their trachea by vacuum cham-
ber, and bivalve and gastropod molluscs are shucked from their shells. _After
an initial fixation of 10-15 minutes in Dietrich's and somewhat longer in Zen-
ker's for large whole arthropods such as lobsters and certain crabs, one
should: (1) remove appendages, (2) make^a sagittal section through_the cara-
pace, and (3) remove visceral tissues and return them to the fixative.  As a
further aid to penetration of the fixative,• whole large organisms such as the
lobster may be step-sectioned according to convenience, but the slices should
not exceed 2 cm in thickness.  The larger molluscs should be sectioned at in-
tervals of approximately 1 cm after initial fixation and returned to new fixa-
tive.  When selected tissues are fixed rather than the whole animal, they
should be suspended in the container by placing cheesecloth or absorbent paper
towels on the bottom.  Buoyant tissues, on the other hand, should be held im-
mersed in the fixative by placing paper towels at the surface.

     For final trimming, the tissue blocks are oriented so that the microtome
sections will come off in the plane desired for examination.  In preliminary
studies of an organism (control-or exposed), the tissues taken for histologi-
cal examination should be as extensive and complete as possible.

     Data accompanying organisms in shipment should be recorded on hard paper
tags or keyed to numbered plastic tabs placed in the fixative with the res-
pective tissue.  Data accompanying a specimen's container is preferably recor-
ded with lead pencil since inks (ballpoint) usually dissolve when placed in
fixatives, or on package labels during freezing and thawing.  Fixed tissues
can be shipped in compact containers such as small, plastic "whirl bags" with
excellent results.  The volume of fixative in each tissue container need only
be sufficient to immerse the previously fixed tissue or organism.  Cotton is
added to the container to insure that all the tissue remains moist in the
event of leakage during shipment.  All tissue containers should be placed in
a shipment carton lined with a large, sealed, plastic bag to contain possible
leakage during transit.

     The rate at which, postmortem changes or tissue autolysis occurs have been
determined for the mummichog by light microscopy (Gardner, unpublished).  Fif-
ty-four adult mummichogs (Fundulus heteroclitus) were sacrificed in natural
seawater (20°C and 20°'oo salinity) containing 2 mg/1 or MS-222.  Following
death, the.specimens were allowed to remain for preselected intervals of time
in the aquaria prior to removal and fixation.  Two specimens were removed
every 2 minutes until 30 minutes and two every 15 minutes thereafter (or up
to 3.5 hours).

     Histological examination of these Fundulus revealed obvious tissue auto-
lysis , first appearing apically in villus folds of the intestinal mucosa 10
minutes after death.  Peripheral areas of the liver were atrophied at approxi-
mately 20 minutes.  The changes proceeded to encompass the complete organ wi-
thin a period of 3.5 hours.  Autolysis also occurred in tissues adjacent to
the gall bladder after 28 minutes, while changes in the intestinal track in-
cluded the submucosa after 1 hour-30 minutes.  The first indication of auto-
lysis in the respiratory and oral epithelium occurred after 1 hour-15 minutes.
The pseudobranch, sensory, renal, and gonadal tissues were noticeably affec-
ted after 2 hours-45 minutes.  It must be realized that these autolytic chan-
ges will conceivably be intensified by increased temperature, for instance.
Atrophy, or distortion of epithelial surfaces will also occur if the organism
is removed from the aquatic environment and exposed to prolonged air-drying.
Thus, it is imperative that tissue fixation be completed as quickly as possi-
ble.  Msribund specimens are valuable for revealing the nature of a toxic res-
ponse, however, those collected dead usually have little value for histopatho-
ligical evaluation.

     The importance of proper tissue fixation can be further illustrated by
the observations of intestinal lesions produced in the ileum and rectum of
adult Fundulus by 5500 mg/1 (LC-50, 168 hrs.) of NTA (Eisler et al.., 1972).
The induced lesions originated at the apice of the villus structure as indica-
ted by subacute NTA exposure (1 mg/1).  It is easy to realize that inadequate
fixation would have produced similar changes.  Cadmium-induced damage in the


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intestine of Fundulus also originates at the apice of the villus structure as
early as 2 homj-s after exposure to the product (Gardner 6 Yevich, 1970).
Therefore, delayed or improper fixation which promotes autolysis would un-
doubtedly conceal early development of lesions, as indicated above.

II   Processing of Tissues for Microscopic Examinations

    "Detailed technical procedures for fixation, tissue preparation, staining
and microscopy are to be found in a large number of publications.  Among the
more valuable sources for methods in histopathology, histochemistry and elec-
tron microscopy are: Jones (1966); Luna (1968); Galigher S Kbzloff (1971);
Pease (1964); Lillie (1965); Hayat (1970); and Zugibe (1970).

     These texts can also be complemented by more specialized studies (Gard-
ner 6 Yevich, 1970; Gardner 6 La Roche, 1973; Couch, 1974b; Couch £ Nimmo,
1974a).

Ill   Morphological and Physiological Changes Resulting from Pollutant


     Select organs of some common species are briefly discussed as normal
structures or morphological alterations resulting from toxicant exposures.
These limited examples serve to illustrate the use of histology as an essen-
tial complement to marine bioassays.

     The following species are among thosB considered to be valuable marine
species for use in bioassays of toxic materials:

A.- American Oyster (Crassostrea virginica)   an estuarine mollusc

   1) Normal histological parameters:

     As already indicated, an organism that would serve as an indicator of
biologically damaging pollutants in estuaries must possess a number of charac-
teristics.  Wide geographic range is desirable to allow comparative studies
of control and exposed organisms under differing environmental conditions and
different locations.  A species whose morphological and physiological proper-
ties are understood.  The ability to rear the organism under controlled popu-
lations and specimens exposed to various changes of the natural environments.

     The American oyster, Crassostrea virginica (Gmelin), fills these crite-
ria.  Its geographic range extends frcm Prince Edward Island, Canada, along
the Atlantic coast to the Gulf coast of Texas.  It has been claimed that the
oyster is the best known marine organism.  It is now feasible to spawn adult
oysters, rear the larvae and maintain the spat and juvenile oysters under con-
trolled laboratory conditions.  For these reasons, the American oyster should
make a valuable bioassay organism to evaluate estuarine conditions.

     The voluminous literature on oyster biology is scattered through numerous
scientific publications.  However, for individuals initiating studies on the
American oyster, biology and disease, several references may serve as entries
into the field (Galtsoff, 1964; Cheng, 1967; Johnson, 1968; Sinderman, 1970;
Sparks, 1972).

     Histological study of oysters can be carried out using standard techni-
ques of tissue fixation and staining.  As in all histological work, investiga-
tors have developed special procedures found to be especially useful when par-
ticular cellular features are to be studied.  Because of this, i*ien a specific
problem arises, one must consult the original literature for variant techni-
ques.  By utilizing the references in the literature, appropriate techniques
can be found and adopted readily.  One should be aware that most histological
techniques developed for vertebrate tissues require variations to be useful
for invertebrate tissues.

     There is no single publication containing a detailed description of oys-
ter histology, but Galtsoff's monograph (1964) contains much useful informa-
tion and numerous references.  Histological descriptions of various oyster
tissue are scattered through the literature so that each tissue or organ may
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be described with particular emphasis.  For example, Loosanoff (19142) descri-
bed the histology of gamete development in C_. virginica when the laboratory
was involved in development of techniques for artificial spawning.  In 1957,
Shaw and Battle published the definitive work on digestive tract histology
while studying digestion in the oyster.  Considerable information and specula-
tion about "normal" oyster tissues has been published by persons studying oys-
ter diseases; for example, Pauley S Sparks (1966) described acute inflammatory
reactions and necessarily described the comparable "normal" tissue of control
oysters.  Thus, the best way to find a detailed histological description of
oyster tissues is to seek appropriate references to original research papers.

     Assuming one knows basic oyster histology, it is still necessary to iden-
tify common pathological conditions unrelated to the specific insult under
consideration.  Two examples of this problem are: (1) effects of non-specific
stress and (2) infection.  Oysters in unfavorable environments have a tendency
to seal their valves and "ride out the storm".  Thus, heavy rains, decreasing
salinity below a tolerable minimum, or silting, or blooms of non-food orga-
nism, may cause oysters to close their valves tightly.  With time, this ces-
sation of feeding may lead to tissue and cell destruction, disruption of meta-
bolism and reduction of reproductive potential.  In some areas, infection of
oysters by certain parasites is nearly universal (i.e. Nematopsis ostrearum
in Delaware Bay), but little tissue damage is noted in most infected indivi-
duals.  These natural occurences have to be evaluated individually and with
some experience of local conditions, reasonable interpretations of tissue da-
mage are possible.  With this baseline information mastered, one may then turn
to the effects of additional factors.

     The oyster chiefly consists of parenchymal cells (leydig cells, vesicu-
lar connective tissue cells), abductor muscle, heart, kidney, gills, mantle,
gut, gonad, and hepatopancreas, all bounded by various epithelial layers.
The normal histology of the oyster is described in numerous publications, the
most extensive of which is the book by Galtsoff (196t).

   2) Toxicant-induced histopathology:

     The following conditions may indicate altered well-being in oysters chro-
nically exposed to toxicants when compared to oysters from control groups:

     a) gross emaciation; watery, pale digestive gland (effects of post-
        spawning stresses also produce this condition);
     b) abcesses or pustules on mantle or inner shell;
     c) production of large amounts of pseudofeces;
     d) loss of vesicular pattern of parenchymal cells with breakdown
        in supportive stromata; this may be associated with gross ema-
        ciation (see a);
     e) massive or heavy infiltrates of leukocytes into regions of pa-
        renchymal cells and basement membrenes;
     f) metaplasia in digestive diverticula, particularly involving
        the non-ciliated epithelium of the distal tubules, and/or the
        epithelium of the proximal tubular ciliated epithelium; atro-
        phic changes in the distal epithelium of the digestive tubules
        may indicate a critical irritant response (Couch, in Lowe et al,
        1972), and be associated with gross emaciation (see a) resulting
        from chronic interference with normal absorption of nutrients;
     g) edema   histological separation of parenchymal tissues from
        basement membranes of digestive tubules, stomach, or intestine
        due to fluid pressure;
     h) hyperpLasia or generally, metaplasia, of gill and mantle epi-
        thelia may produce abnormal epithelial tissues several cell
        layers deep, instead of normal cuboidal or columnar epithelia.
        Hyperplasia may indicate an irritant response of exposed epithe-
        lial surfaces;
     i) higher prevalences of the following oyster pathogens in exposed
        versus control bioassay oysters:
             Minchinia nelsoni (MSX) - Couch, 1966, 1967;
             Minchinia costalis (SSO)   Couch, 1967;
           - Labyrinthbmyxa marina (Dermocystiduim marinum)- Ray, 1954;
                                      160

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             Hexamita (flagellate);
            • Nematopsis (gregarine);
     j) Finally, inhibition of gonadal development or gametogenesis as
        compared to that in control or feral oysters of the same size or
        age, during spring, summer and early fall seasons.

   3) Physiological Indices:

     a) Shell deposition

     Under optimal conditions, yearling oysters usually grow rapidly and uni-
formly.  A technique for determining suboptimal environmental conditions is
to measure the lack of shell deposition in young oysters (Butler et al., 1960).
Young oysters selected from a population for size, have the new shell filed
off.  Half of these oysters are placed in uncontaminated flowing water with
an adequate food supply and the other half are placed in suspect water.  Every
other day, the total length of each oyster is measured.

     After 3 weeks, each oyster is refiled to the original length and the ex-
periment repeated.  The presence of pollutants affecting the oyster will ge-
nerally affect adversely shell growth rates when compared to oysters maintai-
ned in uncontaminated water (Andrews, 1961).  To determine the permanency of
the damage, oysters whose shell growth has been inhibited can be placed in un-
contaminated water and their growth rate compared to controls.  In most cases,
the absence of toxic materials will allow a resumption of normal shell growth
rate.  Growth inhibition is not a specific reaction and independent chemical
analysis of test waters are essential to identify toxic chemicals (Butler,
1966).

     b) Water pumping

     Lamellibranch molluscs are dependent on the flow of water over certain
tissues to supply oxygen and food and to remove wastes.  Water transport is
accomplished by synchronized continuous beating of thousands of lateral cilia.
The adductor muscle, the mantle edge, the gill muscles and ostea all play a
part in regulation of the flow of water.  Numerous techniques have been devi-
sed for determining rate of water flow and several are discussed in detail by
Galtsoff (Chap. IX).  Several groups of substances or changes in seawater
will influence rate of pumping and, for this reason, care should be taken to
establish reproducible  control conditions before toxic response studies are
undertaken.  Considerable variations between individual oysters are also
known to occur normally and must be taken into account.  Toxic materials, ex-
cessive particulate matter, drastically modified salinities will, for instance,
be sensed by oysters and will often result in decreased water pumping.  This
technique would thus appear to be relatively sensitive, but nonspecific in
the establishment of water quality events which would affect this species.
Kymograph recordings of shell movements of a group of test oysters, compared
to comparable data from control animals, can yield valuable information about
water quality (Butler, et al., 1960).

     In oysters, water pumping (or transport) and respiration are intimately
interdependent.  Rate of oxygen uptake can be measured directly by microdeter-
mination of oxygen content of water taken from the inhalent and exhalent cur-
rents of individual oysters.  These procedures are discussed in Galtsoff (Ch.
IX).  Reproducible values are obtained with practice and toxic concentrations
of pollutants in water would generally cause significant changes in the abi-
lity of oysters to extract sufficient oxygen from the water, even though pum-
ping rates may remain unaffected for a period of time.  Prolonged lowering of
oxygen fixation will inevitably reduce physiological activities, including
pumping rates.

     c) Blood proteins

     A traditional method for gauging the overall health of an organism is to
monitor its blood protein composition or concentration.  In vertebrates, this
valuable information can assist in the diagnosis of certain anomalies; in oys-
ters and other invertebrates, the information obtained is less definitive but
may be useful in the establishment of disorders related to nutritional or me-
tabolic activities.


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     Tbtal blood cell (amoebocyte) counts can be made vising simple enumerative
techniques (Feng, 1965).  Total hemolymph protein concentrations can be deter-
mined by standard methods (Lowry, et'al., 1951).  Electrophoresis of hemolymph
protein can also be done with minor modifications of standard procedures
(Feng and Canzonier, 1970).  Lysozyme is found in oyster hemolymph and can be
quantified (Feng and Canzonier, 1970).  This sort of analysis of oyster^hemo-
lymph, to relate concentrations and distributions of natural products with
overall health, can be a sensitive and valuable tool; however, this approach
has not been fully exploited thus far.

     d) Other tissue biochemistry

     If oysters recognize and react to changes in their environments, it_can
be assumed that measurable biochemical changes may accompany their adaptive
or toxic responses.  For instance, gross observation of oysters subjected to
prolonged exposure to low salinity demonstrates that they become "thin" and
"watery" (i.e. the tissues have become translucent).  This is often associated
with loss of tissue glycogen; the product concentrated for eventual energy
production under anaerobic conditions.  Sophisticated studies show other ef-
fects of stress that are reflected in biochemical changes (Hammen, 1969). The
basic patterns of tissue metabolism are similar to those found in other spe-
cies.  However, the development of selective analysis,identifying key enzyma-
tic reactions and quantitative measures of products formed, need to receive
further attention.  A comparative approach, evaluating changes between control
and exposed organisms, would be a powerful tool in the identification of envi-
ronmental changes affecting the survival of oysters in a particular area.

     e) Gonadal development

     For the continued presence of the species to be assured, in a particular
location, gamete formation and spawning must occur in a significant number of
oysters each year.  It is known that molluscan spawning follows irregular an-
nual cycles, but it is evident that prolonged low yield reproduction will ul-
timately accompany the disappearance of a population.  Colonization by plank-
tonic oyster larvae from distant points via tidal movements is possible, but
not nearly as efficient or effective as the successful spawning of the local
population, particularly if local conditions limit the survival of setting or-
ganisms.  Thus, any factor that decreases the ability of adult oysters to
form gametes and insure adequate fertilization is a threat to the population.

     In adult oysters, gamete formation is dependent upon obtaining adequate
nutrients, active feeding and successful incorporation of elements essential
for gamete synthesis.  Anything interfering with feeding, digestion and meta-
bolic activities for prolonged periods of time would adversely affect repro-
duction.  Gamete production can be monitored by gross observation of indivi-
dual oysters during the normal spawning season (mid-July through early-Septem-
ber, in the mid-Atlantic region: significant variability is notable in other
areas).  Semi-quantitative measurements of gonad development can be made
(Tripp, 1974) and related to environmental parameters.  This is done by cut-
ting sections through the middle of the oyster so as to include the maximal
cross-sectional gonadal area.  The tissues are fixed, stained and examined
microscopically.  A semi-quantitative scale for measurement of gonad maturity
is established.  A rough measure of the condition of the population can be ob-
tained by calculating the "gonad index" (the average degree of gonad develop-
ment for several individuals sampled).  This, in turn, can be correlated with
environmental parameters and certain inferences can be drawn (Tripp, 1974).
As indicated earlier for several measurable parameters, this type of biologi-
cal reaction is not specific to any particular product or environmental chan-
ges.  Probing environmental analyses are the only means of identifying the
single or multiple causative factors inducing anomalies.

     f) Larval development

     Perhaps the most developed of all bioassay techniques involving oysters
is the use of larvae as early indicators of water quality (Davis, 1961; Woelke
1962, 1967 and 1972).  This procedure requires collection of adult oysters
from natural populations and maintenance under optimal developmental condi-
tions until gonads are fully mature.  At this time, spawning of individuals

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may be stimulated by raising the temperature of running seawater to 25-30°C
for 2-3 hrs.  Embryos may then be collected and held in large cultures (20,000-
30,000 fertilized eggs per liter) until 48 hrs. old.  During this time, they
are exposed to test water and, at the end of the 48 hr. test period, they are
examined and compared to normal control larvae.  The. effect of any variable
tested is described in terms of the per cent oyster larvae which develop ab-
normally (Woelte, 1967).  Mortality can also be determined and LC_n calculated
(Davis, 1961).                                                   su


B.- Pink Shrimp (Penaeus duorarum) - an estuarine, marine decapod

     The pink shrimp is found fron Brazil to Virginia, in estuaries, as juve-
niles, and in the ocean, as adults and larvae.  It is one of three corcmercial-
ly valuable penaeid shrimp species in the South Atlantic, and Gulf of Mexico
(Williams, 1965).  The species has been used successfully in many bioassays.
These bioassays have included LC50 and EC^Q determinations for several toxi-
cants as well as estimates of effects on several physiological parameters
(Nimnro et al., 1974).  Couch (1974a,b) and Couch and Nimmo (1974a) have stu-
died the histology, ultrastructure and pathology of this species in relation
to toxicant exposures.  The normal histology of select organs of the pink
shrimp has also received considerable attention.

     The hepatopancreas of the pink shrimp appears to be a sensitive organ in
the histopathological detection of toxicant effects in Crustacea.  Both light
microscopical and electron microscopical methods are proving useful in deter-
mining morphological changes (Couch, 1974b, Couch and Nimmo, 1974a).

   1) Hepatopancreas   normal appearance

     This organ consists of acini or digestive tubules which extend from two
hepatopancreatic ducts that have their origins in the lateral walls of the py-
loric stomach. The functional and structural unit of the organ, the acinus,
consists of a tube lined with epithelial elements of varied structurally and
functionally defined cell-types.  These cells are:(a) the embryonic cells,
found at the blind-pouch end of the acinus, distal to the hepatopancreatic
ducts; these cells are active mitotically  and serve as generative or blas-
toid cells which give rise, through differentiation, to the cell types more
proximal (in tubule epithelium) to the hepatopancreatic ducts; (b) absorptive
cells, found distal-to-medial along the acinus, possess fine structural fea-
tures similar to absorptive cells in the vertebrates, (i.e. microvilli, api-
cal region of phagocytic vesicles, mitochondria and lysosomes, and a base nu-
cleus) ; these cells have been studied intensively by light and electron mi-
croscopy following exposure of shrimp to toxicants (Couch and Nimmo, I974a);
(c) secretory cells, found medial and proximal to hepatopancreatic ducts along
the acinus epithelium; these cells are characterized by the presence of large
granules and vacuoles and may be both holocrine or apocrine in secretion of
contents (presumably digestive and lubricative materials) into the lumen of
the acinus.

     The epithelium making up the walls of the ducts and tubules of the center
of the hepatopancreas consists of cells usually in an atrophied condition.
Renewal and growth of the whole organ occurs at the distal ends of the acini
in the peripheral region of the organ where embryonic cells abound.

   2) Hepatopancreas   pathological alterations

     Certain of the following histological and cytological alterations have
been found in hepatopancreas of pink shrimp exposed to polychlorinated biphe-
nyls (PCB's) in flowing seawater bioassays; most of these alterations are pro-
bably non-specific and, thus, may also be indicators of toxicity caused by
other pollutants:

     a) histological changes (light microscopy): hepatopancreatic epithelial
        cell lysis, nuclear pyknosis, vacuolization (larger vacuoles than
        found in normal secretory cells); large pyramidal, tetrahedral in-
        clusion bodies of Baculovirus penaei in nuclei (Couch, 1974a,b,d).
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    b) histochemical abberrations: excessive  lipid accumulation,  glycogen
       loss, reticulin  stromatic changes  from normal,  and selected - enzyme
       loss of activity.

    c) ultrasrructural  changes  in the c;-toplasm,  and nucleus of absorptive
       cells; loss  of normal  microvillui.  boarder  at the apical end of cells;
       swelling  of  mitochondria; and formation of myelin bodies in cytoplasm;
       loss of normal composition of cytoplasm, i.e. abnormal increase in
       free ribosomes or  loss of all organelles;  nuclear hypertrophy, chro-
       matin abberrations,  or diminution  and  formation of vesicles within
       nucleoplasm  (Couch and Nimmo, 1974a).

     d) higher prevalence  and  intensities  of viral hepatopancreatic infections
        (Baculovirus penaei, Couch, 1974a,b,d,) in exposed compared to control
       shrimp, i.e. possible  augmentation of  natural pathogens in the pre-
       sence of  pollutants  (Couch and Nimmo,  1974b).  Both light microscopy
       and electron microscopy  are needed to  detail the diagnosis.

     Most of the  above  lesions have been found in  experimentally exposed
shrimp.   However, more  research  is needed  to clarify their significance in
relation  to functional  anomalies.

C.- Spot (Leiostomus xanthurus)  - an  estuarine, marine  fish

     The spot is found in abundance along  the  Gulf and  Atlantic coasts, in es-
tuaries in the spring,  summer, fall and even  in the winter in the South. This
fish is found as  far north as New York and throughout the Gulf of Mexico coas-
tal regions.   It also may be obtained in several life-cycle stages, accord-
ing to season of the year.  The  spot  may be easily obtained for bioassay ex-
periments in its  range.   For a biology of  the  spot, the reader is referred
to Dawson (1958).

   1)  Liver -  normal histological parameters

     The  normal liver of spot is of the tubulosinusoidal type (Elias £ Ben-
glesdorf, 1952).   The  liver parenchymal cells  are  arranged in cords or muralia
which are usually two hepatic cells thick. There  are no well-defined lobules,
although the hepatic artery, portal vein and bile  duct  are found close toge-
ther.   The portal vein  and bile  duct  are usually paralleled by disseminated
pancreatic exocrine  tissue (Couch, 1974c).

     In normal, well-fed fish, hepatic cells show  moderate to heavy PAS posi-
tive reactions  and diastase lability  indicating the presence of glycogen.
Starved or stressed  fish show less PAS affinity.  Normal spot usually reveal
few, small lipid  droplets  or no  lipid in hepatic cells  (oil Red 0 method,
with frozen sections).

   2)  Liver -  pathological Alterations

     The  liver of this  fish has  been  histologically and histochemically exami-
ned following exposure  to  the following toxicants: PCB's (Aroclors 1254, 1016;
Couch 1974c),  Dieldrin  (Parrish, 1974), Endrin (Lowe, 1965) and Sevin (Couch,
1974c).   The above listed  chemicals may be found in various estuaries and ma-
rine environments.  The pathological  studies reported herein were performed on
fish exposed in laboratory flow-through bioassays  to which controlled low le-
vels of the toxicant were  administered continuously. The following changes in
livers of spot  exposed  to  any given toxicant may be observed in the course of
such exposures:
      a)  alterations in the orientation of liver cord relationships and
         hepatic  cells;
      b)  lytic  or pyknotic changes in hepatic  cells and nuclei;
      c)  vacuolization,  fibrosis, cirrhosis and necrosis of hepatic tissues'
      d)  morphological  anomalies in intrahepatic pancreatic exocrine tissues
         such as  excessive vacuolization,  loss of  basophilia and nuclear de-
         generation  ;
      e)  glycogen loss  or  excessive accumulation;  lipid increase,  particu-
         larly  "fatty liver" syndrome, or  fatty metamorphosis (histochemical
         methods); researchers should be aware that these changes  may also
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         result from normal seasonal variations;
      f) prehepatomatic signs, and hepatoma or other neoplastic lesions;
      g) cholangiolar proliferation;
      h) red blood cell occlusion or stasis in portal or central veins;
      i) excessive pigment deposition in or between hepatic cells (i.e.
         ceroid or hemosiderin);
      j) ultrastructural changes (as observed with electron microscopy),"
         such as abnormal proliferation of endoplasmic reticulum, lipid
         accumulation in hepatocytes, myelin body formation, and nuclear
         change.

The preceding list of possible morphological alterations is not meant to be
exhaustive, by any means, but it includes alterations noted in livers from
fishes exposed to known levels of toxicants (Couch, 197Mc).  Alert observers
should note combinations of the above or other lesions not listed.

      Certain dysfunctional states in the organism may be related to specific
lesions in the list above.  Identification of functional disorders associated
with specific lesion or histopathological syndrome would have to be resolved
by appropriate physiological or biochemical investigations.


D.- Remarks

      Guided by observations made under natural conditions, exposure experi-
ments of organisms to toxicants must be conducted under controlled laboratory
conditions.  With acute exposure studies, the researcher is generally able to
estimate the concentrations of toxicants to be used in chronic bioassays. From
the histological standpoint, organisms are evaluated for presence and repro-
ductability of lesions in all instances.  Whenever possible, the exposure and
histopathologic studies are followed by, or associated with observations of
field conditions to determine whether the reaction(s) of non-captive organisms
exposed under natural conditions compare with laboratory findings.  These re-
sults , combined with those from other scientific approaches, can provide the
scientific basis for establishment of Water Quality Criteria (W.Q.C.).  His-
tology provides an essential dimension which often confirms or explains the
damaging effects of certain products before they are introduced into the en-
vironment, such as would have been the case with NTA (a proposed substitute
to phosphate in laundry detergents) (Eisler et al., 1972).

      Heavy metals, pesticides and petroleum products represent major concerns
in terms of environmental contamination.  Minimata, or Itai-Itai disorders are
disturbing examples of what too much mercury in water can do to the human
body.  Too much cadmium affects the kidney of some fishes in a fashion simi-
lar to that documented for humans (Gardner S Yevich, 1970).  For instance, ac-
cumulation of cadmium in the kidney to certain levels will induce irreversible
damage in the renal tubules of Fundulus.

      Copper is also known to promote lesions in the kidney of some fish and
of some invertebrates.  In addition, copper has demonstrated neurotoxic pro-
perties .  Preliminary observations have indicated that behavioral changes were
associated with exposures to sublethal copper concentrations in fish.  Histo-
logical examinations of Fundulus and Menidia menidia (Atlantic silverside)
exposed to copper confirmed the presence of morphological alterations in vital
sensory organs (Gardner £ La Roche, 1973).  These lesions are significant be-
cause they involve the lateral line (mechanoreception) and the olfactory or-
gans (chemoreception).  Obviously, these organs are vital to perception and
normal behavior patterns such as those of feeding, schooling, reproduction
and migration.  From the observations reported (Gardner 6 La Roche, 1972), it
is unlikely that affected fish could cope with either preys or predators in
a natural environment.  Mercury and silver also damages some perception organs
of the sensory system, although the lesions differ in appearance.  Damage to
sensory organs have also been demonstrated in menhaden (Brevoortia tyrannus)
obtained from three different sites in the environment (Gardner 6 La Roche,
1973; Gardner, unpublished).  In these instances, circumstantial evidence as-.
sociates the lesions with high soluble copper concentrations in the water co-
lumn at a power plant discharge (70 ppb), in Narragansett Bay, Warwick, R.I.
(30-100 ppb) and in the Acushnet River, New Bedford, Mass. (230 ppb).
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      The prospect of combined metal wastes can be disturbing, especially
when additive or synergistic responses are expected.   The combination of cad-
mium arid copper represent an example of two metals that can act synergistical-
ly (Eisler £ Gardner, 1973).  In Fundulus, low acute toxicity for a concentra-
tion of copper alone, added to a concentration of cadmium of undetectable to-
xicity by itself, becomes markedly toxic when both are added in short-term
laboratory bioassays.  For these low metal concentrations, copper would only
induce sensory lesions, while cadmium alone would fail to elicit any renal le-
sion.  However, in combination at these concentrations, the metals induced
both neurosensory and kidney lesions and increased acute toxicity by several
orders of magnitude.

      Some physical factors are known to influence toxicity of some compounds,
such as cadmium.  Nevertheless, changes in salinity,  temperature, pH, or dis-
solved oxygen, do not alter the eventual nature of lesions (Gardner 6 Yevich,
1969).

      Various chemical pesticides, including chlorinated hydrocarbons and or-
ganophosphates, have been found to cause histological alterations in livers
of fishes similar to those of mammals exposed to toxicants (Couch, 197tc).
Preliminary histological evaluations of methoxychlor,exposed Fundulus hetero-
clitus have indicated that the compound causes lesions in the lateral line
system (Gardner £ La Roche, 1974).

      Chemical carcinogens occur among the polycyclic hydrocarbons, N-nitroso-
compounds, radioactive nuclides, mycotoxins, heavy metals, and other groups.
Field collected cold-blooded vertebrates and invertebrates from numerous fresh-
water to marine environments are regularly discovered with neoplastic diseases
suggesting that carcinogenic chemicals are present.  The most likely sources
of such chemicals include domestic and industrial discharges; leaching of pes-
ticides, fertilizers, natural materials and residues from atmospheric fallout;
oil  spills, and natural synthesis when the precursors are available.

      Examples of some lower animal neoplasms discovered in such possibly con-
taminated aquatic habitats are: (1) Russell £ Kotin (1957) reported 10 out of
353  cases of  oral non-invasive squamous-cell papillomas in white croakers col-
lected in the Pacific Ocean, within 2 miles of the Santa Monica, California
sewage outfall, while no similar lesions were found on 1,116 white croakers
collected 50  miles  away in unpolluted water.  Subsequently, white croakers
with oral papillomas were reported from Los Angeles Harbor (Young, 196H) and
numerous examples were also discovered in white croakers feeding near the San-
ta Ana, California  sewage outfall (Harshbarger, 1972, 197t);  (2) Lucke and
Schlumberger  (1911) discovered 166 brown bullheads (Ictalurus nebulosus)with
transplantable onl epitheliomas, in the Delaware and Schuylkill Rivers in
southeastern  Pennsylvania, presumably heavily polluted from effluents from
Philadelphia.  Harshbarger  (1972, 197t) discovered similar neoplasms in Icta-
lurus nebulosus in  lakes in central Florida, where there is extensive use of
chemicals to  control citrus pests and where water hyacinths in the lakes are
sprayed with  herbicides;  (3) Rose (in press) has discovered a population of
neotenic tiger salamanders  (Ambystoma tigrinum) living in a treated, domestic
sewage settling pond in which at least 50% of the population has developed
conspicuous neoplasms of the skin - primarily epidermal papillomas, papillary
dermal fibromas, and melanomas;  CO There have been numerous reports of inva-
sive neoplasms in the filter-feeding (bivalve) molluscs from widely distribu-
ted  estuaries receiving effluent from many sources since the initial report
in 1968;  previously, there were only occasional reports of benign neoplasms
in these animals, going back to 1887.  Wolf (1969, 1971) reported 12 invasive
neoplasms of  the mantle epithelium from Crassostrea commercialis from 2 rural
(agricultural) estuaries in southeastern Australia, although one estuary had
a pulp mill upstream.  Pauley and Sayce (1972) described a single invasive
mantle epithelioma  in C_. gigas from the lightly industralized estuary, Willapa
Bay,  Washington, while a second £. gigas from Willapa Bay had a ganglioneuroma
(Pauley et al., 1968).  Fourteen cases of gonadal neoplasms have been descri-
bed  in both male and female quahogs, Mercenaria mercenaria, from the Narragan-
sett  Bay area of Rhode Island, which is near a large metropolitan area  (Yevich
S Barry, 1969; Barry 6 Yevich, 1972).  In the same general area, 40% of the
soft-shelled  clams  (Mya arenaria) examined showed atypical gill and/or kidney
epithelial hyperplasia (Barry  et al., 1971).  In the Chesapeake Bay and its
                                      166

-------
tributaries, hematopoietic neoplasms have been discovered in a large number
of C. virginica (Farley, 1969; Couch, 1969; Frierman 6 Harshbarger, 1974), a
retTculosarcoma-like lesion in a C_. virginica (Couch, 1970), and an epizootic
highly proliferative, anaplastic neoplasm arising from the gill epithelium of
Maeoma balthica (Christensen et al., 1974).  An epizootic of an undifferentia-
ted mesenchymal neoplasm in Ifytilus eduli s and hematopoietic neoplasms in Os-
trea lurida have been found in Yaquina Bay, Oregon, downstream frcm.a pulp
mill (Farley 6 Sparks, 1970); and, (5) Following a spill of a combination of
jet fuel and number 2 fuel oil, Barry (in preparation) associated a 22% inci-
dence of neoplastic-like lesions in soft-shelled clams. Other lesions of- a pos-
sible   preoancerous nature have also been demonstrated in animals exposed to
crude oil.  Gardner et al  (1974) found such lesions in the olfactory organs
of Menidia, apparently from the salt water soluble fraction of crude oil.  In
addition, the pseudobranch of Menidia was especially vulnerable to crude and
waste oil and vascular lesions occurred in scallops, oysters, Henidia and
Fundulus.

      The neoplasms and related diseases correlated with environmental pollu-
tants in the five examples just cited, all occurred in bottom-feeding fish and
filter-feeding molluscs, a trend also borne out by the specimens which have
been sent to the Registry of Tumors in lower Animals for diagnosis and regis-
tration (Harshbarger, 1974), and by the other published, but not cited, cases
of lower animal neoplasms (Dawe 6 Harshbarger, 1969).  This is a logical ob-
servation since bottom-feeders and filter-feeders would be apt to encounter
larger amounts of suspended and sedimented chemicals than surface feeders and
it provides further circumstantial evidence of the harmful effects of water
pollution.

     Neurosensory lesions have also been linked to pulp mill waste exposures,
since olfactory lesions have been demonstrated in the Atlantic salmon (Gard-
ner, 1972).  These lesions were induced in an experimental system within the
natural waters of the St. Croix River.  Thus, neurosensory lesions, detectable
by histology, represent an important aspect of incidious damage to marine fish
exposed to relatively low doses of varied chemicals likely to be introduced
in the marine environment.

     As previously stated, normal histology, accounting for seasonal and all
other normal variations, forms the basis from which histological evaluations
of anomalies must be made.  Since the morphological and physiological states
of marine organisms varies annually according to environmental conditions and
including those of captivity, results may be greatly influenced by them.  For
this reason alone, it is imperative that researchers be convinced of the neces-
sity to maintain and compare exposed organisms with appropriate controls.

     The copepods  (Acartia clausi  and A.  tonsa), routinely  cultured for labo-
ratory experimentation,  serve to illustrate  the -importance  of routine histo-
logical examination of experimental  stocks maintained  in captivity.  Histo-
logical evaluations with these organisms  have shown that captivity will af-
fect the abundance  of unicellular  glands  (Gonzalez  et al.,  1973).  These
glands  are  usually  numerous in natural  populations  and~~ih laboratory cultures
that are well  fed.   These glands diminish in abundance  from both laboratory
and  field populations when food densities are low.  These glands can, further-
more, be used  as an index of  nutritional  condition.

     Investigations of the bay scallop,  (Aquipectin irradians) have determined
that these organisms undergo significant annual variations which can be fol-
lowed by observing the content of acid-staining granules in its  nervous sys-
tem (Blake 6 Yevich, 1972).   The annual cycles  are considered normal and can
be correlated with ambient water temperature.  Therefore,  it is  essential that
these histophysiological variations be recognized  when appraising the  effects
of toxicants on aquatic species.

     The above studies  indicate that normal histology must be carried  out on
feral organisms taken from natural environment   to appreciate both the morpho-
logical and physiological states of the  species  which may be affected  by pol-
lutant exposures.   Although controls must be  used  in all experimental  work,
both control and exposed organisms  may undergo  changes in a laboratory system
                                      167

-------
which might not otherwise be recognized or evaluated in terms of significance.
Normal histological evaluations of marine organisms are essential to better
understand morphological anomalies which are due to pollutants.  Weekly col-
lections and examinations of stocks of the bay scallop (Aquipectin irradians),
mussel (Mytilus edulis), soft-shelled clam (Mya arenaria), and Atlantic sil-
versides (Menidia menidia), has been demonstrated to be reasonable means of
establishing normal seasonal variations, especially in natural populations
likely to be used experimentally (Yevich, 1971*).

     Because of a wide geographic distribution and commercial value, the oys-
ter has been studied extensively for its responses to changes in water quality.
In a few instances (i.e. to evaluate pulpmill effluents), it has been used
routinely for acute larval responses.  Some information on its morphological
and physiological responses is also available.  This is, generally speaking,
quite rudimentary and it is hoped that systematic efforts will be made to im-
prove techniques leading to an understanding of metabolic activities involved
with specific environmental changes.  With the increased attention being paid
to pollution of estuarine waters, this important sedentary adult mollusc may
serve as a biological indicator of the quality of these vulnerable waters.

     An entirely new approach is now feasible as well.  This is the rearing
of oysters under controlled laboratory conditions and transferring them to
field situations to determine their reaction to particularly suspicious envi-
ronments.  The advantage of this approach is to eliminate the possibility that
biological damage or impairment observed in oysters from the field may limit
the use of oysters as bio-monitoring elements.

     Early histological evaluations must be as complete as possible to offer
a broad survey of tissues which may be affected through specific exposures.
In some instances, reported histological investigations are incomplete in that
attention is focused too rapidly on one or two major tissues, such as to res-
piratory and hepatic tissues.  In other cases, only the short-term study of
one section of an organism may have been explored.  Many lesions, reportedly
due to toxicants or diseases, may appear questionable since they may only re-
present normal variations.  The need for normal histology, established over
extended periods of time, remains most important.  In-depth studies on select
tissues and organs is  always' indicated once they have been identified as tar-
gets of toxicants.

     Respiratory tissues represent an area of prime histological interest in
aquatic organisms.  These tissues require a great deal of histological studies
to properly assess normal and abnormal developments.  In fish pathologist cir-
cles, it has been observed that "the degree of hyperplasia in respiratory epi-
thelium depends largely on the angle of the cut".  The statement is a propos.

     Very often, histological diagnosis will acquire much greater significance
by complementing routine histology with techniques available in histochemistry,
autoradiography, electron microscopy and electron scanning.  The light micros-
cope and electron microscope are providing an increasing amount of knowledge
about the morphological responses of marine organisms to acute concentrations
of toxicants.  The light microscope can, in many instances, indicate the sites
of initial tissue reactions to chronic toxicity.  In this manner, light micros-
cope serves to guide the investigator in probes to define tissue damage with
more elaborate diagnostic procedures including electron microscopy.  In chro-
nic toxicity evaluations, only a limited number of animals in any one popula-
tion nay became visibly affected in a specified time frame.  However, these
evaluations will generally supplement findings established at more acutely
toxic levels.  It is essential that diagnostics of other scientific endeavors
such as behavior and physiology, for instance, be applied to the overall ana-
lysis of normal or abnormal performance by exposed species.  Histopathology
is essential as an element in these investigations, and by being applied broad-
ly, it can offer realistic visible evidence of pollutant damage.

     Histological evaluations, therefore, should be considered as essential
elements in the scientific establishment of Water Quality Criteria.  However,
a successful approach to the problem of defining these criteria depends on
well-developed interdisciplinary diagnostic strategies to identify the effects
of pollutants.
                                      168

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                                      172

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WOLF, P.H. 1971.  Unusually Large Tumor in a. Sydney Rock Oyster.  J. Natl.
     Cancer Inst., 46(5): 1079-1084.

YEVICH, P.P. and BARRY, M.M. 1969.  Ovarian Tumors in the Quahog, Mercenaria
     mercenaria.  J. Invert. Pathol. 14: 266-267.

YEVICH, P.P. 1974.  Unpublished.

YOUNG, P.H. 1964.  Some Effects of Sewer Effluent on Marine Life.   Calif. Fish
     Same, 50(1): 33-41.

ZU6TBE, F. 1970.  Diagnostic Histochemistry.  C.V. Mosby Co.,  St. Louis,  366pp.

     The presentation: "Histological and Physiological Evaluations  in  Some
     [ferine Fauna" is a composite of information compiled by (in alphabeti-
     cal order):

             John Couch
             Gulf Breeze Environmental Research Laboratory,
             United States Environmental Protection Agency,
             Gulf Breeze, Florida 32561
             Tel. no. (904) 932-5326

             George Gardner
             National Marine  Veter Quality laboratory,
             United States Environmental Protection Agency,
             South Ferry Road,
             Narragansett, Rhode Island 02882
             Tel. no. (401) 789-1427

             John C. Harshbarger
             Director,
             Registry of Tumors in Lower Animals,
             National Museum of Natural History,
             Smithsonian Institution,
             Washington, D.C. 20560
             Tel. no. (202) 628-4422

             M. R. Tripp
             Department of Biological Sciences,
             117 Wolf Hall,
             University of Delaware,
             Newark, Delaware 19711
             Tel. no. (302) 738-2275 or 2281

             Paul P. Yevich
             National Marine Water Quality Laboratory,
             United States Environmental Protection Agency,
             South Ferry Road,
             Narragansett, Rhode Island 02882
             Tel. no. (401) 789-1427
                                     173

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RESPIROHETRY

     Although respirometry, applied to aquatic organisms, cannot be claimed as
a technique with any degree of  specificity in the identification of toxic me-
chanisms, it is valuable  in detecting signs of metabolic involvements.  Well-
standardized respirometry may also be relatively accurate in measuring the de-
gree of metabolic changes associated with specific treatments  (Voyer £ Morri-
son, 1971, Cheng S Sullivan, 1973).

     A number of aquatic  poikilotherms are suited for these measurements and
it would appear "that respirometry is among the simplest and earliest means of
establishing quantitative assessments of toxicant effects by comparing control
and test organisms.  Test organisms used were aquatic gastropod molluscs:
Biomphalaria glabrata, Bulinus  truncatus, and Nassarius obsoletus.  Results on
the mudflat snail, N. obsoletus, are presented herein.


I - Materials and methods

     The specimens of the estuarine snail N_. obsoletus used in this study were
collected at Wickford Harbor, North Kingston, Rhode Island, during November
1973.  They were brought  back to the laboratory and maintained in 170-gallon
aquaria at 22 C.  Overcrowding  was avoided by maintaining no more than 500
snails in each aquarium.  The salinity of the artificial seawater (Instant
Ocean)*  was  30-31°/oo and the  snails were fed frozen turbot and fresh clams,
Mercenaria mercenaria, ad libitum.

     All of the snails used measured between 18-22 mm in shell length and all
had been ascertained to be free of helminth parasites.

     In preparation for respirometric  determinations, the exterior of the  shell
of each snail was  cleaned and blotted  dry prior to being placed in a reaction
vessel of a Model  GRP 14  Gilson Differential Respirometer  (Middletown, Wiscon-
sin).   The vessel  also contained 73 ml of the  test solution,  (i.e. seawater
plus an experimental additive).

     One ml of potassium hydroxide was placed  in  the center well of each flask,
together with a filter paper fan (Whatman No.  2)  for the absorption of the 002
evolved.   One control snail was placed in a  similar  reaction vessel containing
seawater with each determination and respirometric data  obtained for these
served as controls.   By following this procedure,  data obtained for the con-
trol snails can be compared with those of test snails with greater reliability
than if the determination of oxygen consumption of controls and experimentals
were made separately, at different times.

     Once the molluscs are in place, reaction  vessels are  submerged in the
water bath maintained at  20°C and allowed to equilibrate for  50 minutes with
shaking at 80 oscillations per minute.   After  this period, respirometric read-
ings are recorded at 20-minute intervals for a 2-hour period.

     At the end of the 2-hour period,  snails were dissected from their shells,
rinsed in deionized water, dried overnight at  70°C,  and  weighed.   Respirometric
data were converted to microliters of  oxygen consumed per gram dry weight.

II - Test solutions

     Simulated pollutants added to the seawater were 1 ppm of  Zn as ZnSO^,
1 ppm Cu as CuSOn, 1 ppm. Cu as  copper  ethylenediamine tetraacetic  acid  (CuEOTA),
1 ppm Bayluscide,  and 1 ppm Frescon.   Copper sulfate was selected  because  it
is known to be a molluscicide (Cheng,  1974 for review) and CuEDTA  was selected
because it is known not to be molluscicidal, at least to Biomphalaria glabrata
(Cheng £  Sullivan, 1973).   Both Bayluscide and Frescon are commercial mollus-
cicides,  and 2nSOi| was chosen because  certain  zinc-containing  compounds, such
as zinc dimethyldithiocarbamate, have  molluscicidal  properties (Malek E Cheng,
1974).
* Aquarium Systems, Inc., Eastlake, Ohio.
                                      174

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CONTRIBUTION NO. 251

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             6ulf Breeze Contribution No.  251
            BEHAVIORAL BIOASSAYS
 In:   Marine Bioassays
      Proceedings of workshop  sponsored by
      The Marine Technology Society,  1974.
(Entire proceedings  may be  obtained  from
 The Marine Technology Society,  1730 M Street, N.W.,
 Washington, D.  C.  $18.00).

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   BEHAVIORAL MEASURES OF ENVIRONMENTAL STRESS

             Bori L. Olla,  Chairman and Editor
Jelle Atema                           James S. Kittredge
Charles C. Coutant                    John J. Magnuson
Patricia De Coursey                   Don Miller
David Hansen                          Mark J. Schneider
                     Winona Vernberg

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                AFFILIATIONS

Jelle Atema
Woods Hole Oceanographlo Institution
Woods Hole, Massachusetts   02543

Charles C. Coutant
Ecological Sciences Division
Building 2001
Oak Ridge National Laboratory
P.O.  BoxX
Oak Ridge, Tennessee  37830

Patricia DeCoursey
Belle W. Baruch Coastal Research Institute
University, of South Carolina
Columbia,  South Carolina  29208

David Hansen
Environmental Protection Agency
Gulf Breeze, Florida  32561

James S.  Kittredge
Marine Blomedical Institute
University of Texas
200 University Blvd.
Galveston, Texas  77550

John J. Magnuson
Laboratory of Limnology
Department of Zoology
University of Wisconsin
Madison,  Wisconsin  53706
Don Miller
U. S.  Environmental Protection Agency
National Marine Water Quality Laboratory
South Ferry Road
Narragansett, Rhode Island   02882

Bori L. Olla
U.S.  Department of  Commerce
National Oceanic and Atmospheric Administration
National Marine Fisheries Service
Middle Atlantic Coastal Fisheries Center
Sandy Hook Laboratory
Highlands, New Jersey  07732

Mark J. Schneider
Battelle Northwest
Ecosystems Department
Richland, Washington  99352
Winona B. Vernberg
Belle W.  Baruch Coastal Research Institute
University of South Carolina
Columbia, South Carolina  29208

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                                 INTRODUCTION

    Until fairly recently,  water quality bioassay techniques have been limited to obser-
vations of the lethal concentrations of a pollutant.  Such measures as  LDso, TLm5o,
and LCso were, and  still are, commonly used to assess the acute effect of a pollutant,
usually based on the  mortality of adult organisms. While this approach was probably
inevitable as a step in the evolution of both the philosophy and techniques of bioassaying,
it has become abundantly clear that this concept has serious limitations as a measure
of the effects of a pollutant on the environment.
    The need for additional,  more comprehensive measures of organismic response to
contaminants has stimulated the search for new testing techniques in a variety of disci-
plines, including behavior.  The most important advantage to using behavior as a tool
to measure stress is that the results  of behavioral tests often lend themselves to direct
interpretation regarding environmental quality as related to possible consequences at
the population and ecosystem levels.  Also complex biochemical and physiological
responses  of an organism may be reflected in rather easily observable acts.  Although
behavioral measures may suffer in  regard to quantification because of the high degree
of inherent variation, they are highly sensitive to stress.

    The general aim of the Workshop was to explore various aspects  of applying
behavioral measures to bioassay.  Although in a few instances the use of behavioral
bioassays has reached the standard test stage,  the state of the art is  still very young.
Consequently, the scope of the discussion was intended as a beginning toward  integrat-
ing a variety of basic research techniques into logical  steps towards developing stand-
ard tests.

                  SPECIES TO STUDY (INDICATOR ORGANISMS)

    Assuming that the objective of behavioral or any other bioassays is to protect the
 structure and function of marine ecosystems from degradation by pollutant sources,
the organisms selected for study must be representative of the ecosystem that will
receive the impact.   The exact selection will, by necessity,  differ from ecosystem to
 ecosystem.  The kinds and number of species required to adequately  represent various
ecosystems will differ according to the complexity of the ecosystem. * Rarely will
 selected species transcend ecosystems in general.  The examination  of "standard" test
organisms, nationally designated or from commercially-produced laboratory  stocks
will not be sufficient, except when there is an obvious  commonality of species of simi-
lar ecosystems.   In essence, the subject of bioassays should be determined on an eco-
 system-by-ecosystem basis and often on a site-by-site basis where discrete locations
for waste disposal or discharge have been identified.

     The following criteria are offered as guidelines for selection of species.  There
 are two principal categories: social  (wherein the importance is predominantly humanis-
tic) and ecological.
 2
No hard and fast number can be recommended,  but will in most cases exceed 10.

Broad functional generalizations should be encouraged wherever possible.  However,
even when tests are on the same species from widely-spaced locations the applica-
bility of numerical results may be questionable.

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                                      Social
Species of economic Importance
    Species which sustain economically important commercial or recreational harvests
should be included.  These may not represent the most important species ecologically,
but economic concerns usually will justify their preservation or enhancement.

Rare and endangered species

    National law protects species judged to be rare or endangered (see lists published
by the  U.S.  Dept.  of the Interior).  Wherever these species are found they  must be
evaluated if at all practical.  Of course,  it is obvious that many of the  endangered spe-
cies may be so limited in number as to preclude extensive assays.

Nuisance species

    Some species  may be judged as nuisances from both social and economic view-
points, and events which promote expansion of these species are thus deemed undesir-
able.   For example, thermal modifications may allow northward proliferation of
undesirable southern fish species.  These expansions may be possible  through a variety
of means Including behavioral changes caused by elevated temperatures. It is also
possible that a particular environmental  stress may favor less desirable species caus-
ing imbalance in population structure.

                                    Ecological

Interaction of the organism with the pollutant
    Bioassays should be designed on an ecologically realistic basis wherein there is a
significant potential for interaction of the organism with the pollutant.  Some knowledge
of the engineering design, hydraulics or  chemistry of the waste discharge will be
necessary to predict the components of the ecosystem that will be susceptible.  Species
selected should be spatially representative of the zone affected by the pollutant.  For
example, a  shoreline discharge will probably first influence nearby littoral species and
not benthic organisms a mile or more offshore.  Temporal considerations may be as
important as spatial in some  instances, as for example, when seasonal discharges
such as food processing wastes are discharged  into waters with transient, migratory
fishes.

Trophic level representation
    Major trophic levels should be represented in the overall scope of bioassays.
While behavioral assays of primary producers may be a rarity, the several levels of
consumers (herbivores,  carnivores,  detritivores, etc.) should be  represented.  Of
particular importance will be those species which contribute a major portion of the
biomass or which functionally have a rapid material or energy transfer function.
These  may be temporarily short, but none the less Important for the ecosystem (e.g.,
meroplankton,  fish larvae).

Habitat structure
    Some organisms should be considered for assays because they may be  ecologically
important by virtue  of their  role in directly serving as habitats for other organisms
(e. g.,  corals and attaching bivalves) or secondarily affecting other species that serve
as substrates.   For example, behavior or larval corals (especially settling) will deter-
mine the locations of coral reef structures. Feeding behavior of sea urchins affects
the kelp of southern California waters, which is a dominant  "physical" habitat feature
there.

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Community structure

    Certain species are particularly important because they strongly structure the
remainder of the biotic community.   For example, starfish of the Pacific coast main-
tain a characteristic community of the rocky intertidal zone through selective preda-
tion (Paine,  1969). In the Great Lakes invasion of the marine lamprey has greatly
changed the  indigenous  community structure (Smith,  1973).

Consideration of life history phases
    Particularly among invertebrates, there has  been ecological diversification within
the life cycle.  Different life phases are behaviorally diverse and exhibit different
levels of sensitivity to pollutants.  Key phases should be examined independently.

Organisms with behavioral traits  pertinent for pollutant effects
    All ecologically significant species will not have behavior patterns that are sensi-
tive and ecologically pertinent in terms of having  high probability of interacting with
the specific contaminant.  Since the assays will be of behavior,  the normal behavioral
patterns of the indigenous fauna must be known and pertinent behaviors selected for
study.

Coverage of sensory repertoire
    Behavior patterns  that depend upon diverse sensory mechanisms (e.g., olfaction,
vision, acoustic,  electrical) should be evaluated depending upon the nature of the pollu-
tant.   For example, a chemical discharge may interfere with chemoreceptors impor-
tant for feeding behavior while at  the same time cause turbidity  which would affect
visually-dependent behavior.   The relative importance may not be readily apparent.

Species with behavior patterns that can be accommodated in the  laboratory
    Practicality dictates that behavioral traits of species to be studied must be amen-
able to laboratory (or controlled field) examination.   This will involve (a) maintenance
of organisms  in the laboratory, (b) ability of the organism  to perform under controlled
conditions,  and (c) capability of investigators to isolate relevant behaviors, especially
those that may be influenced by the pollutant in question.  It seems clear that much
behavioral research must precede selection of suitable behavioral bioassays.   (This
subject is covered more fully below.)

                            SOURCE OF TEST ANIMALS

     Preferably, local test animals should be used in  assessing possible  pollution
effects.   Few areas in the world are completely free  today of man-induced pollutants;
since each pollutant can significantly alter physiological and behavioral responses to
environmental factors,  effects of an  added stress should be assessed on  these organ-
isms.  If species are not available from  a local area, then representative species
from nearby localities  offer an alternate source.  As a last resort, commercially
available species can be utilized for  "first-cut" tests.

                             Variables to be Considered

     One of the prime reasons local organisms should be used is that even within the
same  species there may be significant differences in the way an organism responds
physiologically between separate  populations.  Some of these differences have been
recognized for many years.   For example, Mayer (1914) found that populations  of the
horseshoe crab, Limulus, from Woods Hole died at 38. 5°C, but specimens from
Florida survived up to46. 2°C. In 1936,  Sparck,  Fox, and Thorson demonstrated
independently that the physiological responses of  species from northern  waters  were
not the same as those from some more southern latitudes when  measured at the same

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temperature.  Since these earlier works, there have been many studies documenting
the many physiological parameters that differ between populations of the same species
(for review see Vernberg and Vernberg, 1972a).

    Thermal history must also be considered.  For example, phototactic response of
larvae of the fiddler crab. Pea pugilator.  reared at 20. 0°C is not the same as larvae
reared at 25.0°C (Vernberg, DeCoursey, and Padgett, 1973).  Temperature may also
interact with pollutants to modify behavioral responses.   For example in goldfish,
increase in water temperature from 21. l°Cto 21.5°C in the presence of CuCl2 can
increase the attractiveness of the water (Kleerekoper et al.,  1973), while exposure to
DDT can modify the thermal preference of salmon fry (Ogilvie and Anderson,  1965).

    Stage in the life history is another important variable.  Larvae of U.  pugilator are
several magnitudes more sensitive to Hg poisoning than are adults or the eggs (DeCour-
sey and Vernberg, 1972; Vemberg, DeCoursey, and O'Hara,  1974) or the salinity pre-
ference of mosquitofish,  Gambusia afftnis (Hansen,  1972).

    The use of animals cultivated in the laboratory Is debatable.  Preliminary evidence
indicated that animals  reared in the laboratory  under optimum conditions often do not
respond physiologically in the same manner as  do field animals.  There may, however,
be some utility in testing limited numbers of cultivated animals for obtaining reference
data (e. g., for comparing techniques among different laboratories).
    Many abiotic and biotic factors must be considered before making valid assess-
ments of the effects of a particular pollutant. In the estuarine environment, which is
potentially the most likely to have the greatest pollution,  salinity, dissolved oxygen,
and photoperiod all fluctuate daily and seasonally. In the temperate zone,  temperature
is also an important consideration.   Thus, multiple factors must be taken into account.
The studies of Haefner (1970) on Crangon septemsplnosa illustrate the Interaction of
some of these factors.  These shrimp are well  adapated to the normal temperature-
salinity fluctuations of their estuarine environment, and calculations of surface
response survival curves of adults indicate that they can tolerate a wide range thermal-
salinity regime.  However, when the dissolved  oxygen levels  are reduced to 2 ppm in
contrast to 6 ppm, survival is markedly narrowed.  Lowered dissolved oxygen levels
often are indicative of polluted areas.

    Often the effects of a pollutant cannot be properly assessed under optimum envi-
ronmental conditions.  When U.  pugilator adults were exposed to 0.18 ppm mercury
under optimum conditions,  the crabs  could survive indefinitely.  However,  under
thermal-salinity stress (33.0°C, 5 °/oo) female crabs died after 26 days; male crabs
after an 18-day exposure (Vernberg and Vernberg, 1972b).  Phototactic responses are
not modified in II. pugilator larvae reared under optimum conditions,  but marked
modification of response to mercury is noted when larvae are reared under suboptimal
regimes (Vernberg,  DeCoursey, and Padgett,  1973).

            FIELD OBSERVATIONS:  PREREQUISITE FOR THE DESIGN
                    OF LABORATORY BEHAVIORAL BIOASSAY

    Behavior is best suited for pollution bioassay when the particular behavioral modi-
fications may be related to possible consequences at the population and ecosystem level.
Thus, it is important that the choice of a behavioral  bioassay arise from extensive
knowledge of natural behaviors in the environment which, if altered, may intefere sig-
nificantly with certain defined vital life processes.  Key among these are ones closely
related to reproductive success, survival to maturity and body growth.  Experiments
conducted under controlled laboratory situations have much greater significance  when
they can be  compared  and verified.   Further observations in  nature are essential to
choices of realistic laboratory conditions, proper choice of experimental organism,
and life history stage.

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                       Direct and Indirect Field Observations

    Many advances have been made  in techniques of both direct and indirect observa-
tion of behavior of aquatic organisms.  Table I provides a number of pertinent exam-
ples of how problems involved with to situ observations have been solved by a variety
of approaches and techniques.  Animals can be observed from above, on and below the
sea surface.   Limitations of direct observation center around the tolerance and fatigue
of the  observer, technological limits to access to particular habitats, and the responses
of organisms to the observer and his facilities.  The deeper or more distant the obser-
vation, the more difficult and costly it  is.

     Technological advances in the use  of indirect methods such as closed-circuit tele-
vision, acoustic and radio telemetry, and active sonar have greatly increased our
abilities to observe in the aquatic environment.  While these techniques do not have the
resolution of direct visual observation, they nevertheless  have extended the capabili-
ties of observing aquatic  organisms. Limitations of these techniques primarily relate
to species identification and a variety of technological limitations.

                           Sampling as a Behavioral Tool

     Insights into an organism's behavior in nature  can often be gained by not observing
behavior at all, but by sampling changes in the spatial distribution of the animals over
time with conventional gear such as  nets,  traps and dredges.   Knowledge of habits such
as on  and offshore movements, migration into estuaries and rivers and vertical migra-
tions may be gained.  Variations in  number caught  per unit of sampling effort help
determine whether animals are distributed in uniform,  random, or clumped spatial
arrays.  To some extent, even changes in the relative locomotory activity can be fol-
lowed over time by changes in catch per unit effort with passive or stationary sampling
gear.
     Likewise feeding behavior can be inferred by stomach content.  Locomotory
behavior,  feeding behavior,  and sensory ability can also be inferred to  some extent
from anatomy w!th elusive marine species.  These methods are often used and in some
cases, the only available.

                  The Bridge Between the Laboratory and the Field

     Relating what we observe in the field to what we observe under controlled labora-
tory conditions is the crucial link before the  behavioral bioassay may be employed to
assess and predict pollution effects.  The following hypothetical example illustrates  the
interrelation between the  field and laboratory.

     To study the effects of an industrial waste we select an animal important in the
trophic ecology from the  proposed site.  This animal is observed to feed on worms
and to mate once a year.  After its feeding behavior is studied in the laboratory using
a similar  substrate and food, it is established that  feeding is not modified in the labora-
tory.  Mating behavior is too infrequent to be useful for bioassay or, alternatively, may
not withstand the transition to the laboratory negating the use of reproduction as a bio-
assay.  After testing the  effects of the effluent on feeding,  we .find that feeding behavior
is altered. The animal takes a significantly  longer time to locate a certain amount of
food.  Its  efficiency has decreased.  From this simple observation we conclude that  the
animal will grow more slowly, an effect which will  be felt  at the population and ecosys-
tem level.  Fewer individuals will reach maturity and populations of the next generation
will be smaller (Atema and Stein, 1974).

     In some cases,  the use of a particular behavioral bioassay may be promising for
development even though  direct links of this behavior with  survival of the species have
not been demonstrated. An example is the effect of pollutants on learning .ability of
aquatic organisms.  It would seem counter-productive to discard this bioassay at the
present,  as it seems evident that learning affects many aspects of an animal's daily life.

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Table I.  Techniques used in field observations of behavior.
   Category
Technique
                                                                Reference
   Direct Observation
       Surface

       Underwater
Boat

Snorkel (free diving)
SCUBA


Submersibles
Underwater habitats
Boat/rafts with viewing portals

Periscope
Field enclosure
Newman (1956); Wisby and Nelson (1964); Jenkins (1969); Nelson et al.
  (1969); Keenleyside (1971)
Keenleyside (1962); Brown et al.  (1973); Ogden and Buckman (1973); Reinboth (1973)
Hobson (1965), (1968), (1971),  (1972); Starck and Davis (1966); Myrberg et al.  (1967);
  Olla et al. (1969); Green and Farwell (1971); Sale (1971); Reese (1973); Olla et al.
  (1974)
Ballard and Emery (1970)
Clarke et al. (1967); Collette and Earle (1972); Sartori and Bright (1973)
Strasburgand Yuen (1960); Hobson (1963); Gooding and Magnuson (1967); Nakamura
  (1972)
Magnuson and Karlen (1970)
Jenkins (1969); Magnuson and Karlen (1970); Popper et al.  (1973)
   Remote Sensing
Photography
Photography-Sonar
Sonar
Underwater television-Video tape
Sound (acoustic methods)
Yuen (1961),  (1963), (1966); Nakamura (1972); Reinboth (1973)
Groot and Wiley (1965)
Gushing (1973)
Tyler (1971); Myrberg (1972); Stevenson (1972)
Winn (1964); Tavolga (1964),  (1967); Morris (1966); Myrberg et al.  (1971); Bright
  (1972); Sartori and Bright (1973)

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Table I.  (cont'd)
   Category
                            Technique
                                                                 Reference
                            Telemetry

                                Acoustic tags
                                Radio tag
Johnson (1960); Henderson et al.  (1966); Poddubnyi et al. (1966); Haler et al.  (1969);
  Yuen (1970); Stasko (1971); Dodson et al. (1972); McCleave and LaBar  (1972);
  Young et al. (1972); Carey and Lawson (1973); Scholz et al.  (1973); Stasko et al.
  (1973); Olla et al. (1974); Rochelle and Coutant (1974)
Lonsdale and Baxter (1968)

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              BEHAVIORAL PATTERNS IN LABORATORY BIOASSAYS

    The modification of a normal behavioral response or impairment of any physiologi-
cal function by a toxicant may in many cases so diminish the changes of  survival of an
organism  that it will be eliminated.  These impairments may affect a spectrum of acti-
vities from the rate of photosynthesis by algae,  to the feeding efficiency of herbivores,
to the detection and avoidance of predators or success in prey capture (DeCoursey and
Vernberg, 1972; Vernberg and Vernberg, 1972a; Sprague, 1971).  The survival of a
species may also be seriously threatened if the  sublethal levels of a pollutant impair
the location of sexual partners or capacity to mate, though not affecting  the survival
of the adult organism (Takahashi and Kittredge, 1973).   Furthermore, the life cycles
of many marine invertebrates involve a series of developmental stages occupying
different niches,  utilizing diverse food sources  and being susceptible to  different pollu-
tants.  An example might be the numerous larval forms  (e. g., gastropod veligers) that
feed in the natural surface film of neretic waters and thus are most susceptible to oil
pollution at this stage.  Larval forms may also  be less tolerant to a given toxicant, for
example,  the adults of the  fiddler crab, Uca pugilator, can tolerate 0.18 ppm Mercury
for two months while this concentration kills the stage I  larvae in one to three days and
the stage  V megalops in six hours (DeCoursey and Vernberg, 1972).
    The question then becomes the detection of the sublethal effects of pollutants on the
various life stages of crucial representative species of the marine  ecosystem under
study.  The initial decision,  as considered in an earlier section, is the optimum choice
of species and developmental stage. The behavioral criteria utilized for detecting and
measuring effects of contaminants in the laboratory is the primary subject of this sec-
tion.

                               Experimental Design

Behavioral analysis.

    Most neretic marine organisms have evolved adaptive behavior to overcome the
stresses imposed on them  by the environment.  Quantitative studies of these altered
behaviors can provide the most sensitive bioassays of pollution stress.  Behavioral
studies are also necessary to define the limits at which the behavioral adaptations
cannot compensate for the  imposed stress and the organism's response  is impaired.

    The design of a behavioral bioassay should be based on both field and laboratory
observations of the behavioral repertoire of the species. These observations will
suggest both the scope and the limits of the behavioral characteristics of the organism
that may be amenable to analysis.  While a complete analysis, documented to form a
behavioral ethogram, is desirable, that is seldom feasible.  The analysis should, how-
ever, be sufficiently complete to allow the investigator to define the major behavioral
sequences and to recognize those components that are relatively stable and those that
are variable.

    The field studies should initially establish the prime characteristics of the behavior
of the species.  Although covered  in an earlier  section it would be illuminating to reit-
erate certain points.  These include:

    a.  The spatial distribution of the species in the water column, or,  for benthic
        species, the type of substrate occupied or niche preference;

    b.  Spontaneous activities, e.g., ventilation or pumping rate,  locomotor activities;
    c.  Feeding behavior,  e.g., detection, capture,  satiation;

    d.  Sexual behavior, e. g., attraction, courtship, copulation, spawning;

    e.  Parental care,  e.g., nest preparation, guarding;

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    f.  Social behavior, e. g., aggregation, aggression, territorial instincts, social
       structure;
    g.  Defensive behavior, e.g., warning displays, chemical secretions, withdrawal;

    h.  Evidence of phototactlc or thigmotactic behavior or other taxes;

    i.  Behavioral response to changes in light intensity or sound;
    ].  The presence or absence of diel or tidal rhythms in their behavior.

    Laboratory studies based on the information derived from adequate field studies
will maximize the opportunities for true measures of the effects of the experimental
stress  on the "normal" behavior of the animal. This does not imply that the laboratory
situation must mimic the field conditions in every detail.  One must, however, under-
stand the behavior in the field in order to  recognize which features of the laboratory
design must match the natural environment.  Often one can succeed with a  relatively
simple experimental approach if it satisfies a few basic criteria.  Most investigators
recognize that proper substrate and water quality are essential.  Light levels and dis-
turbing vibrations are the two physical parameters often given insufficient  attention,
Both the  appropriate light intensity and light/dark  cycle must be provided for most
organisms.  One can often reverse the normal light/dark cycle in studying the behavior
of nocturnal organisms.   Random fluctuations in light intensity should be avoided. Due
to the incompressibility of water,  most fish and invertebrates will respond to sources
of vibration that the observer may be unaware of; circulation pumps and refrigeration
compressors are prime sources of these vibrations.
    When the appropriate laboratory situation has been established, a more detailed
study of the behavior observed in the field can follow with some confidence that the
results observed resemble the natural behavior.  The criteria for the selection of the
behavioral traits best suited for the development of a bioassay should include:

    a.  Is the behavior obviously Important in the  survival of the species?
    b.  Can the behavior be analyzed as a sequence of components?
    c.  Which components of the behavioral sequence are stable and reproducible?
    d.  Does the behavior have a well-defined endpoint?
    e.  Is the stimulus that triggers the behavior easily presented?
    f.  Can the strength of the stimulus be quantified ?

    g.  Is there a potential for quantifying the response or is it "all or none"?

     It  is also desirable that the behavioral characteristics selected for study yield data
that can be evaluated in the field.

Statistics

    At this stage in  the design of the bioassay, it is imperative that the statistical
methods  to be utilized in the analysis be considered before the fact rather than after
data has  been collected.  It has been our experience that parametric statistics are
often inappropriate for the data generated by behavioral bioassays. One seldom has
any assurance that the spread of the observed criteria in the population has a normal
distribution.  Nonparametric techniques must be applied in analyzing  data when the
distribution of the measurement in the population is unknown.  It is, however, a com-
mon misconception that only nonparametric statistics are useful with  small samples.
A number of shortcut parametric tests have been developed that are applicable to small
samples.   The price one pays for the use  of nonparametrics is usually a loss of power
in testing hypotheses and some loss of accuracy in estimating confidence intervals.
Thus,  if it can be established that the data are drawn from a normal population, the
power  of the short cut parametric tests can be utilized.  If the sample size is approxi-
mately fifty or greater, one may apply the ehi-square test for the goodness of fit to

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determine whether the frequencies in the classes of a sample distribution differ signi-
ficantly from the theoretical normal frequencies.  Alternately, one may utilize the
Kolmogorov-Smirnov test to examine whether cumulative percentage distribution of the
sample differs significantly from a  normal distribution.  This test is easier to apply
than the chi-square test and it can be used for both grouped and ungrouped data.  In
addition, the data can be plotted on  normal distribution paper.together with the parallel
straight lines delimiting the confidence bands.  An excellent example of small sample
parametric tests is the shortcut t-test  (Lord's test).  When it can be assumed that the
two independent  samples are randomly drawn from a normal population of equal dis-
persion, this teat, utilizing only the two means and the two ranges, provides an esti-
mate of confidence limits that is nearly as good as the standard t-test in small samples.

    Data from behavioral tests may be continuous or discrete, but often the data may
provide only ranking or only indicate the presence or absence of a  criterion.  We will
suggest only a few of the nonparametric tests that are both powerful and quick in evalu-
ating this data.

    The rationale of both parametric and  nonparametric inference rests  on the random-
ness of the sampling.  In behavioral bioassays, randomneaa in the distribution of the
results from a long sequence of tests is a measure of lack of bias in the results that
might have been imposed, for example, by gradual changes in the stock of experimental
animals.  When  the results are in the form of a simple two-sided alternative, a Run
Test will indicate the presence or absence of randomness  in the sequence.

    Many times an inference must be derived from a single set of samples.  The Bank-
Difference Correlation test can be applied to bivariate data available only in ranks or
to ordered or continuous data to test the correlation between two variables in a set of
data.  It provides a ready measure  of the  independence (or conversely, the degree of
relationship) or  two parameters, as, for example, the size of an animal and its
response time.  Another test of independence, the Contingency Test, can also be
applied when the variables are continuous, diacrete, or qualitative.  It ia simple and
extremely general.  Its application  in a 2  x 2 contingency table is one of the most com-
mon statistical applications; however,  it should be limited to those cases in which the
expected frequence in any cell is greater than four.

    Often in behavioral bioassays one wishes to draw inferences from two samples.  If
the two samples are independent and capable of being combined into a single ordered
series, the Rank Test, or Wilcoxon T test,  is frequently used.  This test is the non-
parametric test  most nearly analogous to  the standard parametric _t test and it is
approximately ninety percent as powerful. It is ideally suited for calculating, for
example, whether the response times of two different species of animals exposed to
the same stress are significantly different.   If the two samples are related, as occurs,
for example, when  each test organism  is measured before and after exposure to a
stress, or the individuals in the experimental group are matched with individuals In
the control group,  the tests of significance designed for independent samples may give
over-conservative results (these procedures reduce sampling error).  The most useful
nonparametric tests for two related samples are  the proportions, the sign and the
signed-rank tests.

Variability and noise
     The final stage of the development of  a behavioral bioassay is  a study of the "noise"
in the system.   Initially there is usually considerable scatter in the reaults which can
be reduced by conaidering separately each of the  abiotic and biological components of
the assay.   This refinement is largely  a matter of trial and error, determination of the
optimum temperature and the effects of a  temperature fluctuation,  unexpected variations
in the water supply, proper aging of the experimental tanks, etc.  A major part of the
variability is usually due to variations  in the physiological condition of the experimental
organisms.   It is usual to provide for an acclimation period for the experimental ani-
mals before they are used in an experimental situation.  Paired experiments will reveal

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the importance of acclimation and statistical analysis will provide a measure of the
contribution of this factor to the variability of the measurements.  It is perhaps
unnecessary to point out that large numbers of replicate measurements are often not
the optimum solution to overcoming the variability.  Studies which statistically define
the contribution of acclimation,  or feeding cycle, or age of the organisms, etc., to the
variability provide  both for the selection of the optimum conditions and often allow one
to reduce the work  required in the bioassay by permitting one to discard some of the
initial precautions without  increasing the variability.
     It is often desirable to raise the experimental organisms under controlled condi-
tions. As an example,  in  refining a study of the locomotor activity of the  fiddler crab,
Uea pugilator,  it was found necessary to select the test animals from hatches which
exhibited 90% or greater viability in order to reduce the variability of the  assay
(DeCoursey and Vernberg,  1972).
     It is  sometimes suggested that there  is a real dichotomy between those bioassays
that are used as research  tools  and the bioassays suitable for water quality monitoring.
Primarily this apparent dichotomy is an expression of the extent of the debugging that
has been applied to the bioassay.  There are some  research bioassays that are inordi-
nately time consuming or require, in their present stage of development,  elaborate
instrumentation making them unsuitable for routine use.  Often a research worker will
tolerate undesirable variability  because the course of his study permits him to  make
inferences from a minimum number of replications and it would thus be uneconomical
for him to refine the technique further.  Many behavioral bioassays, however,  can be
developed into routine assays.

Presentation of pollutant
     A wide variety of pollutants are currently being added to both the marine and
freshwater ecosystems.  The class of the pollutant(s), mode of action and where and
how it may be potentially added  to the environment will determine the choice of species
and the specific behavioral assay.  Conversely, chemical contaminants may be intro-
duced into an ecosystem in high concentrations as in a "slug" dose, e. g.,  vast  dumping
from a barge or effluent from an outfall.   These high concentrations will decrease with
time depending on certain  environmental parameters (e. g.,  turbulent diffusion, floccu-
lation, biodegradation, etc.). It is also possible that the concentration of a chemical
pollutant may be relatively constant over prolonged periods as in the leaching of a
toxicant from dyked dredge sediments (DeCoursey and Vernberg, 1974:  submitted for
publication).
     No matted how added,  the effect of exposing a test organism to an environmental
 stress will generally be some form of an inverse relationship between the intensity of
the stress and the length of exposure for a given biological effect.  The design of the
bioassay should include provisions for the exposure of the organisms to a  range of con-
centrations of the pollutant and to several lengths of exposure.  Generally, it is most
economical to explore short-term exposures to a series of three or more  concentra-
tions differing by an order of magnitude.   Realistic concentrations of a chemical pollu-
tant for this exploratory phase may range from 10"4 to 10~8 wt. /vol. The results of
these short-term exposures can then guide the selection of concentrations for long-
term exposures.  It has been our experience that, for any long-term exposure experi-
ment, one must provide for maintaining the concentration of the pollutant, either by
 infusion into an intermittent or  continuously flowing system or by dialysis against an
 immiscible solvent.  Both the concentrations and the time intervals selected should be
 realistic when compared to the  field considerations under study.

 Selection and application of the bioassay

     In selecting and refining a behavioral bioassay for routine application in water
quality studies,  there are additional criteria beyond those considered initially in estab-
 lishing the bioassay that will contribute to its potential application:

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    a.  Is the species readily available throughout the year?
    b.  Is the species hardy?

    c.  Are there undesirable changes in its behavior during its spawning season?
    d.  Are larvae readily available?
    e.  Is there a potential for automating the measurement of the behavior?

Unfortunately, undue consideration of the above criteria is a major factor in often
selecting inappropriate organisms in water quality bioassays.  The species selected
for study should be part of the normal biota and susceptible, at a behavioral level,  to
the range of pollutant concentrations that are dangerous to the other species in the
ecosystem under study.

    A major advancement in water quality bioassays has been the trend toward auto-
mation. Several simple behaviors such as locomotion, phototaxis  and filtration rate,
are readily automated.  Others, such as the pumping rate of oysters,  can be automated
but require technical preparation of the oyster.  The sensitivity of this assay and the
minimum time required per assay, offset the set-up time.  Many other behaviors of
marine invertebrates, such as the defensive withdrawal time of many species of Poly-
chaeta, Mollusca and Tunicata, the feeding response of Anoumura  and Brachyura,  the
feeding movements of the Cirripedia,  should be amenable to automation.   The loco-
motor activities of certain marine fish species are also amenable to automation (for
example, Schuyf and de  Groot,  1971; Gibson, 1973).  Automation,  however, of a poorly
designed experiment may obscure the results.  We are reminded of feeding response
studies which were automated and analyzed in a computer to produce histograms that
were almost uninterpretable.  In most instances, there is no substitute for simple
observation.

    Another factor to consider in selecting a behavior for water quality studies is the
advantage of studying behaviors that are responses to sensory  stimuli as  compared to
spontaneous behaviors.  These  responses necessarily reflect the integrity of sensory
organs, the central nervous system and the musculature  involved.  One may measure
quantitatively the threshold of the receptors for response or the time before a response
is elicited.  A sequence of many measurements can be completed in a short period of
time.  Although too few examples exist to permit a comparison, elicited behaviors
probably provide the most sensitive types of bioassay available.

Behavioral bioassay literature

    A large number of behavioral responses have been used at the  research level to
measure the effects of sublethal concentrations of pollutants on aquatic organisms.
They are shown in tabular form,  grouped for convenience into  two major groups (Table
n).  The performance of individual organisms has been studied at  the  level of the sen-
sory  organs,  an endogenous time sense,  motor activities, motivation  and learning
phenomena, as well as physiological responses closely related to the measurement of
particular behavioral patterns.  A second group of responses involving the interactions
of animals has been classified as inter-individual responses.   The examples of each
behavioral response are annotated with the speoies studied, the stress administered
and the literature citation.

      INTEGRATION OF BEHAVIOR WITH STANDARD BIOASSAY TECHNIQUES

     Behavioral observations used in conjunction with standard acute and  chronic bio-
assays can significantly increase the value of tests.  Bioassays which use functional
death as the measure of effect are ignoring the fact that alterations in behavior may be
occurring well before death. In this section we will present procedures that can be
used by an observer in the course of other testing which  will serve to improve the  sen-
sitivity of bioassays.

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Table II.  Summary of Sublethal Behavioral Bioassays Used Primarily as Research Tools.




A.  Performance of Individuals
Category Specific behavior Species
Sensory capacity Phototaxis Uca pugilator larvae
Calonodia americana
Acartia lillejeborgi
Paracalanug crassirostris
Salinity preference Gambusia affinis
Visual-optomotor Lepomis macrochirus
(flicker frequency)
Temperature preference Salmo salar
Poecilia reticulata
Caraesius auratus
Cyprinus carpio
Lepomis macrochirus
Micropterus salmoides
Pomoxis nigromaculatus
Ambloplltes repestris
Perca flavescens
Sensor inhibition Ictalurus natalis
Chemical attraction Nassarius obsoletus
(chemotaxis)
Pollutant or stress
Mercury
Xanthine dyes
DDT and malathion
Parathion
DDT
Sodium pentobarbitol
Copper
Various
Detergents
Kerosene fraction
Reference
Vernberg et al. (1973)
BJornberg and Wilbur (1968)
Hansen (1972)
Scheier and Cairns (1968)
Ogilvie and Anderson (1965)
Ogilvie and Fryer (1971)
Kleerekoper et al. (1973)
Neill et al. (1972)
Bardach et al. (1965)
Jacobsen and Baylou (1973)

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Table II. (cont'd)
Category
Sensor capacity (cont'd)
Time sense
Motor activity
Specific behavior
Chemoreception
Rheotaxis
Lateral line sensitivity
Endogenous timing of
daily activity
Avoidance of contami-
nants
Attraction to contami-
nants
Shelter seeking
Equilibrium
Swimming performance
and spontaneous loco-
motor activity
Species
Homarus americanus
Pachygrapsus crassipes
juvenile salmon
Salvelinus fontinalis

Uca pugilator adult
Salmo gairdneri
Cyprinodon variegatus
Gambusia affinis
Homarus americanus
Lepomis macrochirus
Oncorhynehus tshawtscha
Salmo gairdneri
Oncorhynehus nerka
Pomatomus saltatrix
Uca pugilator (larvae)
Carassius auratus
Pollutant or stress
Crude oil
Crude oil fractions and
aromatic hydrocarbons
Temperature
DDT
Mercuric chloride
Zinc sulphate
Pesticides
Pesticides
Kerosene fraction
Zinc
Temperature
Temperature
Temperature
Mercury
DDT
Reference
Atema and Stein (1974)
Takahashi and Kittredge (1973)
Keenleyside and Hoar (1954)
Anderson (1968)
Vernberg et al. (1974)
Sprague (1968)
Hansen (1969)
Hansen et al. (1972)
Atema et al. (1973)
Sparks et al. (1972)
Coutant and Dean (1972)
Brett (1967)
Olla and Studholme (1971)
DeCoursey and Vernberg (1972)
Davy et al. (1972)

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Table II.   (cont'd)
Category
Motor activity (cont'd)
Motivation and learning
phenomena
Physiological responses
Specific behavior Species
, Swimming performance Lepomis macrochirus
and spontaneous loco-
	 Salvelinus fontinalis
Uca pugilator (adult)
Paleomonetes pugio
Carassius auratus
Carassius auratus

Feeding motivation Brachydanio rerio
Pomatomus saltatrix
Homarus americanus
Uca (sp. )
Learning Salvelinus fontinalis
Salvelinus fontinalis
Carassius auratus
Salmo salar

Ventilation rate Crassostrea virginica
Breathing rate Lepomis macrochirus
Pollutant or stress
Zinc
Copper
Mercury
Cadmium and low dis-
solved oxygen
Copper
Copper
Detergent
Temperature
Crude oil
Mercury
DDT
DDT
Various metals
Four insecticides
Hydrocarbons
Zinc
Reference
Cairns et al. (1973)
Drummond et al. (1973)
Vernberg et al. (1974)
White (1974)
Kleerekoper et al. (1972)
Kleerekoper (1973)
Cairns and Loos (1967)
Olla and Studholme (1971)
Atema and Stein (1974)
Klein and Linoer (1974)
Anderson and Peterson (1969)
Anderson and Prins (1970)
Weir and Hine (1970)
Hatfield and Johansen (1972)
Galtsoff et al. (1947)
Cairns et al. (1973)

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Table n.  (cont'd)




B.  Inter-Individual Responses
Category
Social motivation
Intraspecific visual
attraction
Aggregation and schooling
Aggression
Predation vulnerability
Species
Ictalurus natalis
Mugil cephalus
Pomatomus saltatrix

Lepomis cyanellus
Lepomis macrochirus
Iptalurus natalis
Predator
Gulls
Amia calva
Oncorhynchus klsutch
Micropterus salmoides
Salmo gairdneri (adult)
Micropterus salmoides
Micropterus salmoides





Prey
Fish
Fish (varied species)
Oncorhynchus nerka
Gambusia affinis
Salmo gairdneri (Juvenile)
Oncorhynchus tshawatscha
Gambusia affinis
Micropterus salmoides
Ictalurus punctatus
Pollutant or stress
Thermal
Thermal
Thermal
Turbidity
Zinc
Electric shock
Thermal
Poor condition
Thermal
Mercury
Thermal
Radiation
Thermal
Reference
Todd et al. (1972)
Olla (1974)
Olla and Studholme (1971)
Heimstra et al. (1969)
Sparks et al. (1972)
Todd et al. (1967)
Prentice (1969)
Herting and Witt (1967)
Sylvester (1972)
Kania and O'Hara (1974)
Coutant (1973)
Goodyear (1972)
Coutant etal. (1974)

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                                   Acclimation

    Standard Methods for the Examination of Water and Waste Water (1971) suggests
that before routine bioassays are performed, test animals should be acclimated for a
week or longer to laboratory conditions that are similar to test conditions.  During a
period of four days immediately preceding a test,  incidence of death or disease must
be less than ten percent.  Also, specimens must show no abnormalities in appearance
or behavior at the time of their transfer to the  test containers.  It is at this point that
knowledge of the normal habits of the animal in both the field and laboratory can aid in
determining if the experimental subjects are in fact behaviorally acclimated.   The
results of these observations may be considered a reflection of the relative health and
state of the test organisms.
     Knowledge of test organisms' normal habits and environmental requirements as
learned from field observations are essential in determining such factors as the size
and  shape of holding and testing aquaria, water quality, feeding schedules, and the
various physical parameters such as temperature, salinity, pH,  etc.  The aim is to
provide facilities which will enable the organism to express certain critical behaviors
which, if inhibited, may significantly alter their physiological condition.  For example,
elliptical shaped aquaria should be provided for fast swimming pelagic forms; suitable
substrate for burying and burrowing forms; cover for reef residents; enough space as
defined by normal observations for animals which tend to be territorial; light levels
appropriate for the species.

     Determining the fitness of a stock of animals for bioassays may utilize observable
behavioral activity in addition to more conventional criteria.  The use of behavioral
characteristics in a diagnostic manner assumes that the behavior of the species is
already well understood by the investigator.  Diagnostic behavior characteristics that
one might use in determining fitness might include feeding activity with the organisms
expected to feed during acclimation, particularly if they are offered food that comprises
their normal diet (as determined by field observations and stomach analysis).  Altera-
tions in photo-responsiveness, increases in excitability,  changes in motor activity,
 schooling configuration, agonistic displays, and opercular movements are all observa-
 tions which may indicate that organisms are not yet acclimated or suitable as test sub-
 jects.

                                  Acute Eioassays

     Standard Methods (1971) suggests that physiological death should be the prime
 measure of effect for  routine bioassays.  It also suggests that bioassayists keep
 records of the number of animals which are alive but show pronounced symptoms of
 intoxication and distress,  such as loss of equilibrium and other markedly abnormal
 behavior.  Because death can be predicted if certain behavioral activities are altered,
 the  usefulness of bioassays can be significantly improved by accurate and consistent
 reporting of the number of animals  with impaired behavior, a description of the symp-
 toms of the impairment, and a discussion of its probable ecological significance.  Bio-
 assays will also be improved If the  habitat and behavioral requirements  of the animals
 are considered when designing the bioassay.

     Most behavioral observations that were applicable in improving acclimation are
 also applicable for bioassays.   Animals should be provided adequate physical, chemi-
 cal  and biological surroundings and the animals should orient normally to them.  For
 example, phototropic  animals,  such as crab larvae, should react to light, burrowing
 animals should burrow, gregarious animals should interact and animals should exhibit
 normal rhythms of activity. An inventive  researcher can improve observations by
 devising procedures,  such as timing ventilation rates, to quantify changes in behavior
 without disturbing animals  or interrupting the progress of the bioassay.

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                               Long-term Bioassays

    In chronic bioassays,  i.e., testa that are conducted over extended time periods
and/or over entire life cycles it is particularly important to provide a suitable environ-
ment for the test organisms to grow, mature,  and reproduce.  The more closely the
environmental requirements of the species can be met in the laboratory the more repre-
sentative will  be the behavior of the animals.   In bioassays that include  the total life
cycle of the animals this may be particularly  important since such behaviorally involved
phases as courtship and reproduction may be  altered, and in turn the significance of the
results.  Since the end point in chronic bioassays is not necessarily death, the signifi-
cance of behavior to the interpretation of the data is much more critical.  Detailed and
careful observations of behavior during the course of an experiment may also provide
explanations for trends in the data.

    PROCEDURES AND FACILITIES FOR CAPTURING AND HOLDING ORGANISMS

    Great  care  and  expense may be committed to the major aspects of the actual
experimentation, but often little attention is given to the critical aspects of animal
acquisition and care. Questions that should be considered by the experimenter work-
ing with marine organisms include:
    a.  How may  organisms be captured and transported from the field to the labora-
        tory with  minimal mechanical damage and physiological  stress?

    b.  What physical and biological conditions must be provided in laboratory holding
        facilities  for keeping aquatic organisms in the best possible shape ?
    c.  How is disease to be monitored and controlled?
    d.  How can the build-up of metabolites be controlled  in closed systems?
    e.  Which animals might be raised in the laboratory?

To reiterate what was mentioned in an earlier section of this chapter, there is no sub-
stitute for defining the normal requirements of study organisms by a variety of techni-
ques and methods of study in the natural environment.

    What we present in this section may be considered an introduction to some of the
more important aspects of acquisition, maintenance  and culture of marine bioassay
organisms, with reference to some of the most significant publications  on the subject.

                           Field  Collection and Transport

    It is obvious that the capture  and transport of organisms should be  done in a man-
ner which  minimizes mechanical injury and physiological trauma.  Fishing gear used
in commercial endeavors or in normal scientific collecting, when taxonomy or biologi-
cal surveys are the aim,  are not often adaptable to collection of  live animals for
laboratory use.
     The individual characteristics of the organism,  including their hardiness, will
determine how best to capture and transport them.  For example, delicate types of
fishes such as Atlantic silversides, Menidia menidia, or any of the herrings and ancho-
vies are easily  captured by shore seine.   However, rather than beaching the seine, it
is far less deleterious to the fish  to scoop them with a bucket or soft net from the water
and into a  transport container while they are  still swimming within the enclosed net in
shallow water.  Another excellent method of catching animals with little injury is with
barbless hook and line.  A variety of adult species including tuna (Nakamura,  1972)
bluefish,  Pomatomus saltatrlx and Atlantic mackerel, Scomber scombrus, (Olla,
unpublished) have been collected successfully in this way.   Juvenile bluefish,  spot,
Leiostomus xanthurus, and winter flounder, Pseudopleuronectes  americanua, have
also been  successfully collected in this way.  Collection of slow-moving benthic ani-
mals by hand, with  the aid of SCUBA, is less damaging to the animal than traps or

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dredges.  This method has been successfully employed in capturing tautog,  Tautoga
onitis. while the fish were in a quiescent sleep phase during the night (Olla et al.,
1974).  Collecting positively photo-responsive invertebrate larvae and adults and a
variety of other juvenile organisms can be accomplished with a night light.  Innovative
modifications in plankton nets, which avoid mechanical injury,  are also employed.
When beam or otter trawls must be used,  slow tows which are very short in duration
are suggested.
    Transport containers, especially for highly motile species, should be elliptical in
shape to prevent animals from crowding in corners or damaging themselves by striking
the walls (Nakamura, 1972).  Verheijen (1956)  suggested holding sardines and anchovies
in plastic bags, a method which has proved satisfactory (Tardant, 1962).  Plastic bags
or a plastic curtain suspended in a way which forms a cushion from the container wall
will greatly aid in preventing physical damage.
    Maximum density in a container will vary with the requirements of the  species, as
well as with the water quality and the duration of holding. Aggressive animals should
be isolated in separate containers.
     When these temporary holding and transporting measures must be sustained for
 much more than  30 minutes, adequate safeguards must be taken to shield the  animals
 from sunlight and from extreme temperature and dissolved  oxygen changes.   Styrofoam
 coolers and  addition of ice around the outside of uninsulated containers provide tempo-
 rary temperature maintenance.  The use  of anesthetics should be  avoided, if  at all
 possible,  during transport and handling due to  potential after effects on organism
 behavior (Goddard et al.,  1974).
      For many intertidal organisms,  especially sessile types, large volumes  of water
 are not needed.  Items such as wet seaweed  may be an ideal transport medium for
 these animals.  If containers with appreciable  volumes of water must be transported
 by motor vehicle,  an elliptical tank with a "conning tower" will  prevent sloshing of the
 water and organisms (Nakamura, 1966).

                          Laboratory Holding Requirements

      Basic specifications for designs and materials for marine aquarium facilities have
 been detailed by a number of  authors:  Clark and Clark (1964), Hagen (1970),  Congres
 International d'Aquariologie (1962-63), Olla  et al.  (1967), Spotte (1970, 1973).  The
 chapter by Atz in Clark and Clark (1964) is particularly useful for such basic principles
 and practices as avoidance of toxic materials and maintenance of water condition.  Still
 one of the most useful papers on marine closed system maintenance is by Saeki (1958)
 (also consult Davis,  1953 and Lewis,  1963).  The suitability of various construction
 materials in culture systems is further discussed in papers by Dyer and Richardson
 (1962) and Bernhard et al.  (1966). While  the problem of disease is discussed by a
 number of workers, Sindermann (1970) presents a useful and definitive treatment of
 marine fish and  shellfish diseases.

      When organisms are to be used in behavioral bioassays, the basic requirements
 iterated above must be supplemented.  Ideally, conditions in the laboratory should
 approximate the organism's normal requirements.  For example,  natural cycles  of
 light, temperature and salinity must be maintained, as well as habitat needs  and food
 which quantitatively and qualitatively approach natural requirements.  The quality of
 the light should also be considered.  Acute illumination changes are to be avoided with
 the most desirable method of light introduction as part of a daily cycle employing a
 system which slowly increases and decreases  light levels approximating sunrise and
 sunset.  Other physical conditions such as current, pressure,  turbulence and natural
 diurnal and  tidal ranges of temperature may also be required.

      Suitable animal density depends partly on  natural conditions (see Section II).
 Benthic and cover-dependent  organisms should be provided with suitable substrate
 and/or habitat materials.

                                         22

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    Type of food and mode and time of feeding should approximate natural conditions
as closely as possible as determined from field observations.  Although it is often not
possible to duplicate the exact kinds of food the animal eats, it is often possible to
approximate their nutritional  level and quality.  At the most basic level,  carnivores
should be supplied with a diet that suits their specific requirements, which are obvi-
ously different from those of herbivores.  At present, unfortunately, knowledge of the
nutritional requirements of marine organisms is at best deficient in many aspects.

    Failure to eat is common in animals recently brought into the laboratory.  This
initial period of non-feeding may be shortened by social facilitation, i. e., adding ani-
mals  which are already feeding to the holding tank.  When laboratory animals do not
begin to eat or stop  eating, once having begun feeding in the laboratory, this may be
indicative of an unhealthy condition in the holding facility, rendering the animals use-
less for experimentation.

                          Laboratory Culture of Organisms

    Laboratory culture techniques are now sufficiently developed for certain species
to consider culture as a feasible method for obtaining experimental larval material,
when  the much more desirable method of using  animals from the particular  locale that
will receive the impact is not possible (see earlier section of this  chapter).   Cultiva-
tion of marine organisms was the topic of the International Helgoland Symposium in
1969  (Kinne and Bulnheim, 1970).  Methods of bivalve rearing are reported  by
Loosanoff and Davis (1963).   Facilities for bivalve larval bioassay are discussed by
Woelke (1972).  For Crustacea culture, numerous references are cited by Costlow and
Bookhout (1968) and others in a symposium volume on decapod larval development.  A
method for polychaete culture has been developed by Reish and Barnard (1960).  For
two very useful general works on invertebrate culture, see Galtsoff et al. (1937) and
Costello et al. (1957).  A bibliography of marine fish culture efforts has  been compiled
by May (1971).

    The prime requirement for laboratory reared  organisms is that they be physio-
logically compatible with natural populations.  Physiological compatibility should be
tested by comparing the results of bioassays on both laboratory animals and on natural
populations.  Other  criteria must be developed  for larval forms.   Histological compari-
son, which will indicate tissue normality and nutritional condition,  can also be used.

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                                        28

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