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Table                                                                   Page

 18     Food value (Percent dry weight)  of several  species  of  sub-
        merged aquatic vegetation and alfalfa    	       124

 19     Chesapeake Bay chronology	       127

 20     Occurrence of dominant rooted submerged  aquatic  vegetation,
        Susquehanna Flats Survey, 1958-1975   .  	       131

 21     Frequency of occurrence of submerged aquatic  species,  Benthic
        Survey, 1958-1961	       134

 22     Frequency of occurrence of vegetated samples, Vegetation
        Survey, 1967-1969 	       136

 23     Comparison of relative abundance of rooted  submerged plants
        in the upper Eastern Bay, Chesapeake Bay, Vegetation Survey,
        June-September 1969	       137

 24     Frequency of occurrence of vegetated samples  and indicated
        change by river system, Migratory Bird and  Habitat  Research
        Laboratory Survey, 1971-1976  ....  	       140

 25     Frequency of occurrence and indicated  change  in  species of
        submerged aquatic plants, Migratory Bird and  Habitat Research
        Laboratory Survey, 1971-1976  ....  	       141

 26     Annual abundance of submerged aquatic  vegetation in Rhode
        River, 1966-1973  	       143

 27     Estimated total coverage of submerged  aquatics for  major
        Virginia sections of the Chesapeake Bay, 1971 and 1974  .  .       146

 28     Historic documentation key  	       157

 29 .    Historic documentation of SAV by decades, Elk and Bohemia
        Rivers, Maryland (Area 1)   	       158

 30     Historic documentation of SAV by decades, Sassafras River,
        Maryland (Area 2)	       159

 31     Historic documentation of SAV by decades, Howell  and Swan
        Points, Maryland (Area 3) 	       160

 32     Historic documentation of SAV by decades, Eastern Bay, Mary-
        land (Area 4)	       161

 33     Historic documentation of SAV by decades, Choptank  River,
        Maryland (Area 5)	       162
                                     xiv
 image: 








Table
34

Historic

documentation
River, Maryland (Area
35
Historic
documentation
Honga River, Maryland
36
Historic
documentation

of
6) ,
of

SAV

SAV

by

by

decades ,

decades ,

Little Choptank

James Island and
(Area 7) 	
of
SAV
by
decades ,
Honga River, Mary-
land (Area 8) 	
37

38

39
Historic
Mary! and
Historic
Maryland
Historic
documentation
(Area 9) . .
documentation
(Area 10) , ,
documentation
of

of

of
SAV

SAV

SAV
by

by

by
decades ,

decades ,

decades ,
Bloodsworth Island

Susquehanna Flats,

Fishing Bay, Mary-
land (Area 11) 	
40

41

42

43
Historic
Wi comi co
Historic
Maryland
Historic
Maryl and
Historic
documentation
of
Rivers, Maryland
documentation
(Area 13)
documentation
(Area 14)
documentation
of

of

of
SAV
by
(Area
SAV

SAV

SAV
by

by

by
decades ,
12)
decades ,

decades ,

decades ,
Annemessex Rivers, Maryland (Area 15) . ,
44
Historic
documentation
Bush Rivers, Maryland
45

46

47

48

49

Historic
Maryl and
Historic
Maryland
Historic
Maryland
Historic
Maryl and
Historic
Gunpowder
documentation
(Area 17) ,
documentation
(Area 18) , ,
documentation
,(Area 19) . .
documentation
(Area 20) ,
documentation
" Rivers, Mary
of
SAV
by
decades ,
Nanticoke and

Manokin River,

Patapsco River,

Big and Little

Gunpowder and
(Area 16) 	
of

of

of

of

of
SAV

SAV

SAV

SAV

SAV
by

by

by

by

by
land (Area
decades ,

decades ,

decades ,

decades ,

decades ,
21) . . ,
Pocomoke Sound,

Magothy River,

Severn River,

Patuxent River,

Back, Middle and

Page

163

164

165

165

166

169

167

168

169

169

170

171

172

173

174

175
XV
 image: 








Table                                                                   Page

 50     Historic documentation  of SAV  by  decades,  Curtis and Cove
        Points,  Maryland  (Area  22)   	       176

 51     Historic documentation  of SAV  by  decades,  South, West and
        Rhode Rivers,  Maryland  (Area 23)   	       177

 52     Historic documentation  of SAV  by  decades,  Chester River,
        Maryland (Area 24)	       178

 53     Historic documentation  of SAV  by  decades,  Love and Kent
        Points,  Maryland  (Area  25)   	       179

 54     Historic documentation  of SAV  by  decades,  Smith Island,
        Maryland (Area 26)	       180

 55     Historic documentation  of SAV  by  decades,  Upper Potomac
        River, Maryland and  Virginia (Area  29)   	       180

 56     Historic documentation  of SAV  by  decades,  Upper Middle
        Potomac  River, Maryland and Virginia  (Area 30)  	       181

 57     Historic documentation  of SAV  by  decades,  Lower Middle
        Potomac  River, Maryland and Virginia,  (Area 31) 	       183

 58     Historic documentation  of SAV  by  decades,  Lower Potomac
        River, Maryland and  Virginia (Area  32)   	       183

 59     Historic documentation  of SAV  by  decades,  Rappahannock
        River, Virginia 	       184

 60     Historic documentation  of SAV  by  decades,  Piankatank
        River, Virginia 	       185

 61     Historic documentation  of SAV  by  decades,  Mobjack Bay,
        Virginia	       185

 62     Historic documentation  of SAV  by  decades,  York River,
        Virginia	       186

 63     Historic documentation  of SAV  by  decades,  Tangier Island,
        Virginia	       186

 64     Historic documentation  of SAV  by  decades,  Pocomoke Sound,
        Virginia	       187

 65     Total farmland in Maryland and Virginia, 1850-1974  ....       190

 66     Total fertilizer  and lime used in Maryland, 1935-1976 ,  .  ,       192
 image: 








Table                                                                   Page

 67     Summary of county fertilizer distribution data reported
        by registrants for 1970-1976	        194

 68     Properties of commonly used herbicides 	        196

 69     Atrazine and DCBN applications to four Coastal Plain  soil
        types	        204

 70     Physical characteristics of selected river systems  in Mary-
        land 	        214

 71     Comparison of land use patterns in upper and lower  Choptank
        River watershed areas  	        215

 72     Estimates of total amount of specific herbicides used for
        weed control in the Choptank River drainage basin,  1975  .        217

 73     Potential herbicide leakage, Choptank River drainage  basin        218

 74     Summary of bioassay results of various concentrations of
        atrazine and linuron on Zannichellia palustris 	        218

 75     Estimate of the use of selected herbicides (kg a.i.)  by
        county in Maryland, 1971 and 1975	        223

 76     Estimate of the use of selected herbicides (kg a.i.)  by
        county in Virginia, 1971 and 1975	        224

 77     Chlorine usage in four major rivers of the Chesapeake Bay
        estuary, 1971 and 1975	        227

 78     Yearly averages of suspended solids (mg/1), Maryland
        Chesapeake Bay, 1971-1976  	        229

 79     Average Secchi disk data (cm) by river system, Maryland
        Chesapeake Bay, 1972-1976	        232

 80     Percent of total  possible sunlight reaching the surface,
        Baltimore-Washington International Airport 	        233

 81     Average salinity  (ppt) by river system, Maryland Chesap-
        peake Bay, 1971-1976	        236

 82     Average monthly salinities (ppt), Chesapeake Biological
        Laboratory, Solomons, Maryland, 1970-1976  	        237

 83     Naturally occurring soluble concentrations of various heavy
        metals in seawater and United States rivers  	        250
                                      xvn
 image: 








Table
84
85
86
87

Differential equations for model shown in Figure 48 ....
Special functions used in equations given in Table 84 ...
Differential equations for model shown in Figure 49 ....
Some data from related ecosystems useful in calibrating a
model of Patuxent estuarine ecosystem 	
Page
268
273
274
277
88      Summary of monthly data available for calibrating a model  of
        Patuxent estuarine ecosystem as a sub-estuary of the Chesa-
        peake Bay	      278
                                      xvm
 image: 








                   LIST OF ABBREVIATIONS AND SYMBOLS
ABBREVIATIONS
     o
     A
     a.e.
     a.i.
     C
     CBCES
     CBL
     cm
     d
     dm
     9
     g cal
     ha
     HPEL
     hr
     kg
     km
     kph
     1
     m
     m2
     m3
     mm
     ml
     MHW
     MLW
     MBHRL
     MW
     MWA
     my
     nm
     NOAA
     PCB
     ppb
     ppm
     PPt
     r, r2
     SAV
     sec
     SES
     SS
     STP
     US DA
     USDI
     USSR
     UV
     VIMS
angstrom
acid equivalent
active ingredients
celsius
Chesapeake Bay Center for Environmental Studies
Chesapeake Biological Laboratory
centimeter
day
decimeter
gram
gram calorie
hectare
Horn Point Environmental Laboratory
hour
kilogram
kilometer
kilometer per hour
liter
meter
square meter
cubic meter
millimeter
milliliter
mean high water
mean low water
Migratory Bird and Habitat Research Laboratory
megawatt
Maryland Wildlife Administration
millimicron
nanometer
National Oceanic and Atmospheric Administration
polychlorinated biphenyl
parts per billion
parts per million
parts per thousand
correlation coefficient
submerged aquatic vegetation
second
steam electric station
suspended solids
sewage treatment plant
U.S. Department of Agriculture
U.S. Department of Interior
Union of Soviet Socialists Republic
ultra violet
Virginia Institute of Marine Science
microgram
micro Einstein
                                       xix
 image: 








                    LIST OF ABBREVIATIONS  AND SYMBOLS  (cont.)
SYMBOLS
      Br, Br"
      C, C++
      "C
      Ca, Ca++
      CaCl2
      CaCOs
      Ca(HC02)?.
      Ca(OH}2
      C02
      14CO?
      Cu  <-
H
HC1
H2C03
HC03~
H2S
Hg
HgCi2
K
K2C03
KHC03
Mg, Mg
N
NH^, N
NH^-N
Na, Na
Nad
NaAs02
NaHC03
N-P-K
N03, N
N03-N
02
P
TKN
            ++

bromine, bromine ion
carbon, carbon ion
carbon 14
calcium, calcium ion
calcium chloride
calcium carbonate
calcium formate
calcium hydroxide
carbon dioxide
labeled carbon dioxide
copper
copper sulfate
hydrogen
hydrochloric acid
bicarbonate
bicarbonate ion
hydrogen sulfide
mercury
mercurous chloride
potassium
potassium carbonate
potassium carbonate, acid
magnesium, magnesium ion
nitrogen
ammonia, ammonium ion
ammonia nitrogen
sodium, sodium ion
sodium chloride
sodium arsenite
sodium bicarbonate
nitrogen-phosphorus-potassium
nitrate, nitrate ion
nitrate nitrogen
oxygen
phosphorus
total kjeldahl nitrogen
                                        xx
 image: 








                               ACKNOWLEDGMENTS
     Special contributors to this technical document include:  Robert Orth,
Virginia Institute of Marine Science, (the biology of Zostera marina) :
Charles K.  Rawls, University of Maryland Chesapeake Biological Laboratory,
(the biology of Myriophyll urn spicatum) ; and W.  Michael  Kemp, University of
Maryland Chesapeake Biological Laboratory (presently at Horn Point Environ-
mental Laboratory) and Fred Lipschultz, University of Maryland Department of
Botany), (the use of models).  Further contributors include:  Mt.'lon Lewis,
University of Maryland Department of Botany, (the environmental     tors
bicarbonate ion and epiphytes); Lorie Stap, University of Marylt      ^artment
of Botany,  (herbicide survey and waterfowl research); and Waltet  .    ^iest,
Virginia Institute of Marine Science, (Middlesex County, Virginia,   .u.nenta-
tion survey data).
     Special thanks are extended to Robin Autenreith and Diane La
University of Maryland Department of Botany, for their research support,
Vernon D. Stotts, Maryland Wildlife Administration, for his constant support
and encouragement; Robert Munro, U.S. Fish and Wildlife Service Migratory
Bird and Habitat Research Laboratory, for the use of data files; and W.S.
Vaugh, W/V Associates, for a preliminary information synthesis on herbicides.

     This document is the result of the work of David Flemer (presently with
the U.S. Environmental Protection Agency) who saw the need for a literature
summary and information synthesis.  He organized the cooperative funding from
the three agencies involved (U.S. Environmental Protection Agency, U.S. Fish
and Wildlife Service and the Maryland Department of Natural Resources) in
order to initiate this project.

     The authors also wish to acknowledge the editorial assistance of Howard
Tait, U.S. Fish and Wildlife Service National Coastal Ecosystems Team; Richard
R. Anderson, The American University; Glenn E. Moore, Commonwealth of Virginia
Water Control Board; David L. Correll, Smithsonian Chesapeake Bay Center for
Environmental Studies; Paul F. Springer, Humbolt State University; George
Fenwick, The Johns Hopkins University; Suzanne Bayley, Maryland Coastal Zone
Management; Gerald Walsh, U.S. Environmental Protection Agency Gulf Breeze
Laboratory; and John Steenis.  Glenn Patterson, University of Maryland Depart-
ment of Botany and Stephen Sulkin, University of Maryland Horn Point Environment-
al Laboratory generously provided office space and materials for the production
of this document.  Eugene Cronin, Chesapeake Research Consortium; and Frank
Hamons and Kathy Schaeffer, Maryland Department of Natural Resources, provided
continual encouragement and coordination.  And without whom this final docu-
ment would not have been possible, we thank Nancy Robbins, Carolyn Hurley and Nancy
Jones, office personnel.

                                        xx i
 image: 








     The Fish and Wildlife Service is grateful to the Chesapeake
Research Consortium for its financial support in printing this
publication, which has enabled a wider dissemination than would have
otherwise been possible.
                                  xxii
 image: 








                                  CHAPTER 1

                                   BIOLOGY
INTRODUCTION
     The Chesapeake Bay has historically supported a wide variety of submerged
aquatic vegetation (SAV).  Over the years, there have been indications as to
changes in species diversity, but the present populations consist of about ten
dominant vascular hydrophytes and one species of macrophytic alga (Chara sp.).
Chara is included because of its physical resemblance to the other species and
its similar ecological values.  Diva and Enteromorpha are also considered
important algal species native to the Chesapeake Bay but are not discussed in
this technical document.  Chara was initially chosen based on the results of
the U.S. Fish and Wildlife Service Migratory Bird and Habitat Research Labora-
tory survey and the importance of Chara to waterfowl.

     These eleven species of SAV inhabit the shallow, shoreline areas of the
Bay primarily limited to depths of three meters or less.  The most convenient
classification system for these species is according to salinity tolerance.
Najas. Chara and Vallisneria americana are fresh to slightly brackish water
species found in the upper reaches of the Chesapeake Bay and in the fresh areas
of the many subestuaries that comprise the vast Bay estuary system.  Elodea
canadensis, Myriophyllum spicatum and Ceratophyllum demersum tend to be found
in more brackish areas while Potamogeton pectinatus, P_. perfoliatus and
Zannichellia palustris are tolerant of salinities up to about 20 ppt.  Zostera
marina and Ruppia maritima are capable of tolerating full ocean salinities,
though Ruppia can inhabit  not only marine conditions but also areas with a
considerably lower salinity level.  Consideration of salinity as a limiting
factor is discussed in Chapter 2.

     Information as to environmental requirements of individual species and
their tolerances is not uniform from one species to another.  Some species have
been frequently utilized experimentally and have been extensively studied under
field conditions.  Others have received only cursory interest.  This chapter
attempts to present the most salient information available on each dominant Bay
species in order to provide background data essential to the investigation of
SAV declines in recent years.
 image: 








POTAMOGETON PERFOLIATUS

Biology

     General Vegetative Morphology.    Potamogeton perfoliatus  exhibits exten-
sive morphological variation and has been separated into two varieties.
Formerly, these two varieties were denoted as separate species,  but have since
been denoted as var. bupleuroides and var. richardsonii.  Potamogeton
perfoliatus var. bupleuroides will be reviewed in this section since it is the
most common variety found in the Chesapeake Bay (Ogden 1943).   For simplicity,
this variety will be referred to as  P_.  perfoliatus and is commonly known as
redhead grass.

     The delicate leaves of this species are flat, scarcely crisped at the
margin and have from 7 to 17 nerves  (Ogden 1943)  (see Figure 1).   The upper
leaves are ovate, 1 to 3 cm long, while the lower leaves are ovate to lanceo-
late, 2.B to 4.5 cm long (Fernald 1970).  All of  the leaf bases  are cordate-
clasping which is a characteristic referred to by this species'  name.

     Fernald (1970) further characterized the species.  Stems  are slender and
straight and the lower stem is simple,  becoming more branched  toward the upper
portion of the plant.   Stipules are  short and inconspicuous; peduncles are
slender, 2 to 6 cm long; spikes are  0.7 to 2 cm long; and fruit  is slender,
obovoid, and 2.5 to 3.2 mm long.

     Potamogeton perfoliatus is distinct from other members of the genus due
to its conspicuously heterophyllus foliage yet completely submerged existence
(Schulthope 1967).  Variation among  this species  is so great that two plants
grown from a single rhizome or isolated branched  stems can appear to be sep-
arate species (Ogden 1943). Arber (1920)observed  a shoot of £. perfoliatus
placed in a rainwater tub and found  that when the larger leaves  decayed after
a few months, the new leaves were so much narrower and less perfoliate that
it was difficult to relate the two forms of the plant to the same species.

     In areas of limited depth, foliage of IP. perfoliatus tends  to become less
brilliant green, shorter, broader and thicker (Hutchinson 1975).   A represent-
ative series of leaf measurements by Pearsall and Pearsall (1923) indicated
that water depths also influence the ratios of leaf length to  leaf breadth.
Their experiments in Lake Windermere indicated that at a 6 m depth, IP.
perfoliatus leaves displayed a 4 to  1 ratio  (7.0 cm length to 1.7 cm breadth)
as compared to a 3 m depth where the leaf ratio was 2 to I (3.3  cm length to
1.4 cm breadth).

     Factors other than depth operate to alter the morphology  of P_. perfoliatus.
Pearsall and Pearsall  (1923) believed that a short, broad-leaf form was char-
acteristic of more calcareous substrata (1600 ppm Ca(C03)2 in  dry littoral mud).
The extreme lanceolate form occurred on much less calcareous sediment (90 ppm
Ca(Co3)2 in dry littoral mud).  Pearsall and Hanby (1925) suggested that calcium
enhanced the permeability of dividing cells and promoted cell  division while
potassium promoted cell elongation.
 image: 








 (copied  from  Hotchkiss  1967)
Figure 1.   Redhead grass (Potampgeton perfoliatus)
 image: 








     A distinct anatomical feature of P_. perfoliatus is the continued pres-
ence of stomata.  These structures are functionless because penetration
of water to the internal tissues is prevented by a persistent roof of cuticle
(Porsch 1905, cited in Sculthorpe 1967).

     Reproduction.  Modes of propagation for P_. perfoliatus include seeds,
rootstocks and cuttings (Martin and Uhler 1939).  The creeping stem exhibited
in this plant is formed by the end-to-end union of the first internodes con-
stituting erect stems (Sculthorpe 1967).  During a single growing season, a
large number of rhizomes are formed.  Resting buds develop serially from the
apex of these rhizomes at the end of the vegetative season and produce the next
year's spring shoots.  The sexual form of reproduction for this species in-
cludes flowering, pollination and development of fruits.  Seeds float for a
short period before becoming waterlogged, sink to the bottom and remain dormant
until spring (Hutchinson 1975).

Distribution

     Potamogeton perfoliatus is found in fresh and moderately brackish waters.
Its presence has been recorded in Labrador, Quebec and New Brunswick and extends
to Eurasia, northern Africa and Australia (Ogden 1943).

     The summer sampling program conducted by the U.S. Fish and Wildlife Service
Migratory Bird and Habitat Research Laboratory (MBHRL) in Laurel, Maryland,
has documented P_. perfoliatus in the Chesapeake Bay from 1971 through 1976 (see
Table 1 and Figure 2).Over the six survey years the percent of sampling
stations supporting redhead grass has declined from 5.29 in 1971 to 2.23 in
1976.  The Vegetation Survey (1967 to 1969) performed by the Maryland Wildlife
Administration (MWA) documented P_. perfoliatus as dominant in the Choptank River
and Eastern Bay in 1968.  Redhead grass has persisted in both these areas
through 1976, as documented by the MBHRL Survey.

Environmental Factors Affecting Distribution

     Temperature.   Experiments by Anderson (1969) with P_. perfoliatus showed
that respiration and 02 consumption increased as temperatures increased from
25 to 40 C.  Death occurred at 45 C.  Anderson also found that as redhead grass
matured, it was capable of temperature adaptation.

     Salinity.   Anderson (1969) placed P_. perfoliatus within a salinity range
from 5 to 25 ppt.  Within the Chesapeake Bay, redhead grass is found from the
Patapsco River south into the Choptank River (see Figure 2 and Table 1).
Salinities in this center portion of the Bay range from about 1.5 to 19 ppt
(see Table 81), somewhat lower than Anderson's limits.

     Substrate.   Pearsall (1920) maintained that within broad limits of depth
or light intensity the main limiting factor determining vegetation was the
physiocochemical nature of the sediment.  Misra (1938) studied in detail the
substrate requirements of various submersed plants in English lakes using
several sediments types.  £_. perfoliatus was found to grow best on a mixture
of organic material and silt with a minimum carbon to nitrogen ratio,  a high
capacity to recycle ammonia and a low redox potential.  The low redox potential
 image: 








Table  1.  Percent of  sampling  stations  showing occurrence of
Potamogeton perfpliatus, Maryland Chesapeake  Bay, 1971-19763

Area
Code
1

2
3

4
5
6

7

8
9
10

11
12

13
14
15

16

17

18
19
20
21

22

23

24
25

26


Number of
River system
Elk & Bohemia
Rivers
Sassafras River
Howell 8 Swan
Points
Eastern Bay
Choptank River
Little Choptank
River
James Island 8
Honga River
Honga River
Bloodsworth Is.
Susquehanna
Flats
Fishing Bay
Nanticoke &
Wicomico Rivers
Manokin River
Patapsco River
Big & Little
Annemessex Rivers
Gunpowder 8 Bush
River Headwaters
Pocomoke Sound
(Maryland)
Magothy River
Severn River
Patuxent River
Back, Middle 8
Gunpowder Rivers
Curtis 8 Cove
Points
South, West &
Rhode Rivers
Chester River
Love 8 Kent
Points
Smith Island
(Maryland)
Total
1971

0
0

0
8.51
5.00

0

0
0
0

0
0

0
0
0

0

0

0
33.33
40.00
0

0

0

0
44.44

0

0
5.29
1972

0
0

0
6.98
5.17

0

0
0
0

0
0

0
0
5.00

0

0

0
-
13.33
0

0

0

0
33.33

0

0
3.41
1973

0
0

0
10.64
10.53

0

0
0
0

0
0

0
0
4.76

0

0

0
16.67
20.00
0

0

0

0
26.47

0

0
4.13
1974

0
0

0
12.77
6.90

0

0
0
0

0
0

0
0
4.76

0

0

-
16.67
20.00
0

0

0

0
14.71

0

0
3.44
1975

0
0

0
6.52
1.72

0

0
0
0

0
0

0
0
-

0

-

0
-
-
0

0

0

0
16.67

0

0
1.81
1976

0
0

0
6.67
3.57

0

0
0
0

0
0

0
0
0

0

0

0
0
23.08
0

0

0

0
17.14

0

0
2.23
71

15
10

12
47
60

19

34
30
40

27
25

30
15
21

20

9

22
12
15
50

22

20

8
36

8

17
624
72

16
10

6
43
58

19

34
30
44

37
25

30
15
20

20

8

20
12
15
47

22

19

10
36

8

11
615
73

16
10

12
47
57

19

34
30
46

37
25

30
15
21

20

7

21
12
15
50

22

19

10
34

8

12
629
stations
74

16
10

12
47
58

19

34
30
43

37
25

30
15
21

19

9

-
12
15
50

22

19

8
34

8

17
610
75

16
10

12
46
57

19

34
29
43

36
24

30
14
-

18

-

20
-
-
47

22

6

8
36

8

17
553
76

16
10

12
45
56

19

34
29
45

35
25

30
15
21

20

9

22
12
13
49

22

21

8
35

8

17
628
       a
       U.S. Fish and Wildlife Service Migratory Bird and Habitat Research Laboratory, 1976
 image: 








                                      1972
                                      1976
Figure 2.  Distribution of Potamogeton  perfoliatus,  Maryland Chesapeake
Bay, 1971-1976.
 image: 








suggested an abundance of bacterial  action and a high content of exchangeable
cations.  Thus it was determined that moderately organic muds fairly rich in
nitrogen and exchangeable calcium were more suitable than highly organic muds.

     Light, Depth and Turbidity.   Potamogeton perfoliatus is usually found in
either still or standing water ranging from 0.6 to 1.5m in depth (Martin and
Uhler 1939).  Felfoldy (I960) found  that a maximum rate of photosynthesis was
attained at a depth of 2 m on a day  where the light intensity was about 1.1 g
cal/cm2.

     Nutrient Responses.   Potanogeton perfoliatus is one of the two most
common species observed by LohammarT^GBTTrTSwedish lakes.  This macrophyte
occurred throughout the greater part of the concentration range of combined
nitrogen, total potassium, phosphorus and calcium in waters of these lakes.
Under conditions where calcium was limited, foliar growth was radically altered.

     Susceptibility.   Generally, Potamogeton is not highly susceptible to
heavy metals.  Petkova and Lubyanov~[T969 cited in Hutchinson 1975) found
marked accumulation of vanadium consisting of 1300 ppm in the plant ash.
Potamogeton perfoliatus did not respond to 2,4-D(PGBEE) applied in granular
form at 44.4 kg/ha a.i. (Lawrence and Hollingsworth 1969).  However, treatments
of simazine, monuron and silvex (PGBEE) apolied at the same rates as mentioned
for 2,4-D, controlled redhead grass.  Enclolhall applied at 90.7 kg/ha a.i.
was found to completely control plant growth, while an application of 14.3 kg/ha
a.i. affected partial control.

Consumer Utilization
     Redhead grass is ranked among the more valuable pondweeds to waterfowl
(Martin and Uhler 1939).  Seeds, rootstocks and portions of the stem are
consumed by a variety of ducks.  Analysis of stomach contents has indicated that
redhead grass is consumed by Black Ducks, Canvasbacks, Redheads, Ringnecks,
among other duck species.  It is attractive to geese and swans and often
heavily eaten by beaver, deer and muskrat.  Fassett (1960) noted that this
species of pondweed provides not only a good food source, but also protective
cover for various aquatic organisms.


RUPPIA MARITIMA
Biology

     General Vegetative Morphology.   The genus Rujyna. has been variously
classified in the Najadaceae and Zosteraceae families but more recently has been
separated into the single genus of the family Ruppiaceae (Takhtajan 1969).
Ruppia maritima is a highly variable, slender, branching perennial herb with
linear or filiform opposite leaves ? to 20 CD "iong and about 1 to 2 mm broad
(Welsh 1974; Fasset 1966; Weldon et al. 1969!Iree Figure 3).  Stems are generally
terete (Welsh 1974) and may be up to 3 rn long (Weldon et al. 1969).  In shallow
waters, R. maritima plants have been observpj '-•;  short as to appear like a
carpet oT~leaves 3 to 10 cm tall without stems (Ueidon et al.  1969).
 image: 








(copied from Hotchkiss 1976)
Figure 3.   Widgeongrass  (Ruppia man'tima)
                         8
 image: 








     Commonly known as widgeongrass, Ruppia produces only submerged leaves and is
not capable of survival under direct sunlight (McCann 1945).   The species has an
extensive root system (Weldon et al.  1969) composed of much  branched creeping
rhizomes (McCann 1945) and no tubers (Hotchkiss 1967; Radford et al.  1964).
Flowers are perfect, small and borne on axillary stems (Cook  et al. 1974).
Up to the time of flowering, the inflorescence is enclosed in a sheath formed
by the two uppermost leaves (Rendle 1930).

     Reproduction.   Ruppia maritima reproduces both vegetatively and sexually.
Vegetative propagation occurs primarily through the rhizomes  (U.S.  Department of
Interior 1944).  Sexual reproduction involves the elongation  of the peduncle
upwards to the air water interface (Rendle 1930).  Once at the surface, the
curved, tubular pollen (Rendle 1930) is released and floats on the surface until
it contacts the floating stigmas (Arber 1920).  McCann's (1945) personal
observations concerning the Ruppia pollination mechanisms described pollination
as occuring below the water surface.  The two sets of anthers, one above  and
one below the female cluster, shed their pollen slowly and the pollen drifts
upwards and adheres to the stigmatic canopy.   Fertilization takes place when
the pollen drifts around to the stigma.

Distribution

     Widgeongrass inhabits a wide range of shallow, brackish  pools, rivers and
estuaries along the Atlantic, Gulf and Pacific Coasts (Martin et al.  1951;
Radford et al.  1964).  Ruppia also flourishes in alkaline lakes, ponds and
streams and in shallow, saline ponds and river deltas of the  Great Salt Lake
region (Ungar 1974).  Widgeongrass is not limited to brackish or salt water, but
also occurs in fresh portions of estuaries (Chrysler et al. 1910).

     The MBHRL summer survey has documented Ruppia maritima from the Back,
Middle and Gunpowder Rivers south to the Maryland/Virginia state line from 1971
to the present (see Table 2 and Figure 4).  Data from the six years indicates
a slight downward trend in vegetation from 1971 to 1976.  However,  the study
shows a strong positive trend from 1975 to 1976, almost back  up to the 1971
level.  Data for 1972 indicate that Ruppia probably was not drastically affected
by the salinity decreases due to tropical storm Agnes.  The decrease in per-
centage occurrence in 1975 may be due in part to the fact that the Severn
River was not sampled that year after showing consistently high percentages of
widgeongrass in previous years.

Environmental Factors Affecting Distribution

     Temperature.   Pond studies by Joanen and Glasgow (1965) showed that
R. maritima appeared to have two growing seasons occurring within the temperature
range of 18 to 30 C.  Growth apparently ceased outside this range;  However, some
fruiting and flowering were observed at temperatures higher than 30 C.

     Anderson (1969) conducted experiments in the Patuxent River near the
effluent of an electrical generating station.  Anderson concluded that new growth
from rhizomes, seed germination and flowering all had critical temperature
ranges.  There was a significant reduction in aerial coverage of plants near the
 image: 








Table  2.  Percent of  sampling  stations  showing occurrence of
Ruppia maritima, Maryland Chesapeake  Bay,  1971-1976a

Area
Code
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26

Number of stations
River system
Elk 4 Bohemia
Rivers
Sassafras River
Howell & Swan
Points
Eastern Bay
Choptank River
Little Choptank
River
James Island &
Honga River
Honga River
Bloodsworth Is.
Susquehanna
Flats
Fishing Bay
Nanticoke &
vJicomico Rivers
Manokin River
Patapsco River
Big & Little
Annemessex Rivers
Gunpowder & Bush
River Headwaters
Pocomoke Sound
(Maryland)
Magothy River
Severn River
Patuxent River
Back, Middle &
Gunpowder Rivers
Curtis & Cove
Points
South, West 8
Rhode Rivers
Chester River
Love & Kent
Points
Smith Island
(Maryland)
Total
1971
0
0
0
23.40
23.33
15.79
17.65
30.00
20.00
0
8.00
0
20.00
0
45.00
0
9.09
8.33
33.33
-
4.55
0
0
27.78
0
47.06
14.74
1972
0
0
0
30.23
31.03
10.53
8.82
23.33
2.27
0
0
0
13.33
0
15.00
0
0
0
20.00
4.26
0
0
0
11.11
0
27.27
9.92
1973
0
0
0
23.40
10.53
0
2.94
10.00
8.70
0
0
0
6.67
0
25.00
0
0
0
13.33
-
0
0
0
8.82
0
16.67
6.04
1974
0
0
0
34.04
24.14
0
5.88
16.67
4.65
0
0
0
13.33
0
31.58
0
-
8.33
26.67
2.00
0
0
0
2.94
12.50
29.41
9.84
1975
0
0
0
17.39
1.72
0
5.88
10.34
4.65
0
0
0
7.14
-
16.67
_
5.00
-
-
0
0
0
0
11.11
0
5.56
4.69
1976
0
0
0
37.78
39.29
15.79
8.82
13.79
2.22
0
0
0
6.67
0
25.00
0
4.55
0
15.38
2.04
0
0
12.50
14.29
0
35.29
11.46
71
15
10
12
47
60
19
34
30
40
27
25
30
15
21
20
9
22
12
15
50
22
20
8
36
8
17
624
72
16
10
6
43
58
19
34
30
44
37
25
30
15
20
20
8
20
12
15
47
22
19
10
36
8
11
615
73
16
10
12
47
57
19
34
30
46
37
25
30
15
21
20
7
21
12
15
50
22
19
10
34
8
12
629
/4
16
10
12
47
58
19
34
30
43
37
25
30
15
21
19
9
-
12
15
50
22
19
8
34
8
17
610
7b
16
10
12
46
57
19
34
29
43
36
24
30
14
-
18
_
20
-
-
47
22
6
8
36
8
17
553
76
16
10
12
45
56
19
34
29
45
35
25
30
15
21
20
9
22
12
13
49
22
21
8
35
8
17
628
       a
        U.S. Fish and Wildlife Service Migratory Bird and Habitat Research Laboratory, 1976
                              10
 image: 








1973
1975
  Figure  4.   Distribution  of Ruppia maritima, Maryland Chesapeake Bay,
  1971-1976

                                   11
 image: 








       :  :                            • •'•" iidl  temperature may have  been reached
for --••  -                         •.  -  -s!T'ftY'ture was determined  to  be 45 C.
     ^.•' A
                                      '•  -jrant of an extremely  broad salinity
rancc .'"••.    .  •          •'.••,. , .ncrqed aquatics because it  can also
loie'vH-  ,-                       .   i-.-in<j dehydrated or hydro!ized (Ungar 1974;
                                    -'•dfvh has been conducted to determine
                '  '             •••.!'- Kupjiju  Steenis  (1970)  established a
ten:-;.:ii    .                         .  .',.j'8ss,  Anderson  (1972) determined a
Sai-rp:.-   •• '    .                       ,  : !»pt.  McMillan (1974)  and Osterhaut
fiGU*'' ;; •"•                         ,  •< r-iinpd indefinitely  in either tapwater


     ',.(  r •     .;         -.'.-', i'-.uo the flowering  of R.  maritima
(Men-1 , I--:. '.                   -.  .    ,  ,r,; confined to lower  salinity levels with
seed  ;r:-   = , -      .         •      ••;-•'' pot to tapwater.

      '-.:_:•,'r.. •                          : • prefer soft bottom muds (Anderson 1972)
                                         ;/eral feet  (U.S.  Department of Interior
             ; •  '  :       •            ;:u|jj_iji marrti_ina_ beds  growing on shallow
                               -.:  •  •'. ','ers and streams.

                     ;                 >!  extensive studies  in Louisiana, Joanen and
                                   -  •  of  iight, depth and  turbidity on Ruppia
                                '   .;,,><r'\itory analysis was  determined to occur at
                                   ., ureas where thick algal mats covered the
                                :  '  -^itright, Ruppia plants were  visibly weakened.
                                ••-.••• nor'iMul to young plants  prior to the stems
                                   •  <i:-;'»:; t} ranges showed Ruppia  to develop best
                                 •   •;    :-: small ponds.  Experimental ponds with
                              •  -< TJ.  1.  ;:-  :,o 108 ppm) could not support continuing
                          ..,:..!•- :•,,  r>>e plants reaching  the  surface, turbidity
                                              and Glasgow (1965)  concluded from
                                          Ljula1* water  fluctuation was the single
                                          f?nt or elimination of widgeongrass.
                                          sunlight  penetration and provided long
                                          -!--'ined that  wave action limited the
                                          T.ochdnic.al damage or by causing high
                                          (1945) (ietermined that the branch tops
                                          .'O a;:tidn.   These detached fragments
                                          ifna  has  shown  a high tolerance to boron
                                          r 850  ppm  (Sculthorpe 1967).  Ruppia
                                          ;e,  sulphate,  phosphorus and sodium
                                          •s  (Joanen and Glasgow 1965) poor
                                            iih  average  of 177 ppm phosphorus
                                            ?vel or  120  ppm.   Toxic levels were
                                            ined "...no  correlation between plant
                                            any time inhibited  plant  growth."(p.13)
                                          .o
 image: 








Soil pH was not determined to be a limiting factor for Ruppia maritime growth;
plants grew vigorously in both high and low pH soils.

     Susceptibility.    Ruppia maritima has not been utilized extensively in
experiments to determine relative toxicity levels to various herbicides.  A
possible explanation for this lack of information may be the recognized impor-
tance of Ruppia as waterfowl food.  Further, the majority of the herbicide
toxicity experiments have been conducted in a fresh water media.  Ruppia is not
often documented as a fresh water inhabitant.

     Table 3 lists those  herbicides documented by the U.S.  Department of Agri-
culture for controlling
     Table 3.  Effects of certain aquatic herbicides on Ruppia maritima
        Herbicide                Application (ppm)              Control
     Sodium arsenite                  1                        Promising

     Endothall, DOS                   1.5                     None
                                      2                        10 %

     Acrolein                     5.6 to 6.8                  Good
     aLawrence and Hollingsworth 1969.

CIBA-GEIGY (personal communication 1977) has not included Ruppia maritima on
their label for Aquazine (simazine).   Their only information concerning Ruppia
refers to complete control  with Aquazine at 1.0 ppm in a North Carolina lake.
Similar control could probably be expected with an atrazine concentration of
0.25 to 0.50 ppm.

Productivity

     There is a scarcity of information available concerning productivity of
Ruppia maritima in the Chesapeake Bay.  Anderson (1966) was able to compare
primary productivity of Ruppia between the Patuxent River and Chincoteague Bay
He found Ruppia to be considerably more productive in the Patuxent River (800 g/m2
average mean dry weight)than in Chincoteague Bay (250 g/m2 average mean dry
weight).  The height of the growing season for Ruppia in Chincoteague Bay seemed
to occur from about the middle of June to the end of July.  Growth did not
necessarily cease when the elongating stems reach the surface, so that leaf ex-
tension and expansion remained possible.

Consumer Utilization

     Ruppia maritima is rivaled only by Zostera marina in importance to waterfowl
(Bourn 1935).  Widgeongrassserves as food for numerous species of ducks, coots,


                                       13
 image: 








geese, grebes, swans, marsh and shore birds and game birds of the Atlantic,
Pacific and Gulf Coasts (Sculthorpe 1967; Martin and Uhler 1939).  Studies of
the upper Chesapeake Bay area over the period 1959 to 1968 (Rawls in press)
showed Ruppia Maritima to have the highest frequency-of-use rate for the water-
fowl and plant species studied.  Out of 1,179 geese, dabbling duck, diving duck
and Meganser gizzards utilized during the survey, 363 birds (30.79 percent) con-
tained widgeongrass plant parts.  Volumetric analysis rated Ruppia third after
Zea mays and Potamogeton perfoliatus.

     A study performed in the 1930s (Cottam 1934c) on the gullets of 3,499 North
American inland plant feeding ducks, included Ruppia Maritima in the list of
aquatic plants having the greatest food value to Nyroca and ruddy ducks.  Water-
fowl were found to have eaten all parts of the Ruppia plants.  Pond studies in
Louisiana (Joanen and Glasgow 1965) showed waterfowl utilization of Ruppia so
heavy as to consume entire plant stands.

     Ruppia beds are also used as nursery grounds (Sculthorpe 1967) and as a fish
spawning medium and cover for marine organisms (Kerwin 1975b).  Sculthorpe (1967)
also considered Ruppia stands of great importance to fish as a food and shade
source.

Economic Uses and Problems

     Impoundments.   Baldwin (1967), in studying the use of impoundments for the
management of waterfowl, concluded that when considering all types of impound-
ments, Ruppia maritima ponds probably provided more waterfowl food with the least
amount of management.  Iii creating impoundments, Baldwin suggested that the fol-
lowing conditions would be delterious to Ruppia propagation: stained, acidic
water; excessive upland runoff; surplus fresh water; silt and detritus; and
organically stained water.  The relatively high salinity tolerance of Ruppia
allows for the prevention of rapid changes caused by natural plant succession
and invasion by fresh water pests such as cattail (Typha spp.) (Ball 1965).


MYRIOPHYLLUM SPICATUM1

Biology

     General Vegetative Morphology.  Eurasian watermilfoil (Myriophyllum
spicatum) belongs to the order Hippuridales, family Haloragaceae (Takhtajan 1969).
The plant was first decribed by Linnaeus in 1953 (Anderson et al. 1965).  Dis-
agreement persists in the literature as to the proper taxonomic  relationship to
a very similarly appearing species, Myriophyllum exalbescens.  M. spicatum is
closely related to M. exalbescens. but the latter species is found mostly in
glaciated areas  (Steenis and Stotts  1961).  Beaven  (1962), in his summary  report
included a suggestion by Dr. Paul Springer that  new reports of M. spicatum in
 Special contribution from Charles K.  Rawls,  University of Maryland Center for
  Environmental  and Estuarine Studies,  Chesapeake Biological  Laboratory.
                                      14
 image: 








the Northern United States may have been the results of misidentification of
M. exalbescens.  Love (1961) maintained that differences between the two species
are so pronounced that they can confidently be considered to be separate species.
The Terminology Committee of the Weed Society of America (Klingman 1962) has
given approval to common names of Eurasian watermilfoil for M.  spicatum and to
northern watermilfoil for M_. exalbescens.

     Myriophyllum spicatum is an aquatic perennial  with verticilliate submerged
leaves which are pinnatified (Southwick 1972) (see Figure 5).  Springer (1959)
described milfoil as generally having leaves with 14 to 21  pairs of upward curv-
ing, threadlike divisions and stems that are greenish and remain this color when
dry.  Springer et al. (1961) compared milfoil leaves to weathered, watersoaked
feathers.  M_. spicatum is much branching, variable in growth under various condi-
tions and with leaflets near the flowering tips more numerous (usually 13 or
more) than in other milfoil species (Stotts 1961).   The leaflets are about 1.8
cm long (Haven 1961).  The flowers are axillary and monoecious.

     Reproduction.   Patten (1956) studied the flowering and reproductive cycles
of the perennial M_. spicatum in the shallow, alkaline, eutrophic New Jersey
Lake Musconetcong.  Flowering began in late May and continued until early October
with the earliest flowering occurring in the shallower lake depths.

     Patten (1955) described the sexual reproductive cycle of milfoil.  Upper
flowers are staminate, the lower pistillate, both are sessile in axils of strong
bracts and the sexual flowering cycle is brief.  The spike axis elongates, then
pollination follows and finally resubmergence.  Pollination is aerial, but mil-
foil is not self pollinated; the stigmas ripen in advance of the stamens.  The
achenes sink to the bottom, exhibit high viability (as much as 80 to 90 percent)
and can remain viable for as much as 10 years.  Germination is generally delayed,
but is speeded up by freezing and drying.  Seed capacity to germinate increases
with age.

     Milfoil reproduces most effectively by way of vegetative reproduction
through fragmentation, rhizomes and axillary buds (Patten 1956).  In the Chesa-
peake Bay, Haven (1961) found that foliage of this perennial plant died back in
the late fall, was renewed from roots and reached maximum growth in late summer.
Springer (1959) found reproduction by fragmentation in the fall, by seeding (no
time given) and by budding or sprouting in the spring.

     Annual fluctuations in submerged aquatic vegetation species is natural and
presents a continually changing picture.  Some species, such as Eurasian water-
milfoil, seem to be more subject to changes in their range and density than other
species.  In most areas, milfoil has two growth-surge periods during the growing
season.  To keep abreast of such changes, two or three surveys of vegetation beds
should be made annually (Rawls 1971a_).

Distribution

     There is some controversy as to where milfoil was originally introduced on
the East Coast of the United States.  Beaven (1962) noted that the plant oriainal-
ly may have been introducted between 1880 and 1890 when ships coming from Europe


                                       15
 image: 








(copied from Hotchkiss 1967)
Figure 5.   Eurasian watermiIfoi !  (Hyr1ophy11 urn spicatum)
                                  16
 image: 








dumped their ballast.  Others (Bayley et al.   in press; Steenis 1970; Rawls
1964, 1975; Steenis et al.  1962; Springer et al. 1961; Elser 1966; Steenis
et al. 1967) have traced the early history of milfoil back to various dates
ranging from 1895 to 1902.

     From the turn of the century until the 1950s,  milfoil was found sporadically
from the C & D Canal in Baltimore south into North Carolina.  However, according
to Virginia Institute of Marine Science (VIMS),  Chesapeake Bay Laboratory
(CBL) and Migratory Bird and Habitat Research Laboratory (MBHRL) personnel,
rapid spread did not begin until around 1954.  By 1959 live fragments of milfoil
could be found floating all over the Bay (Steenis et al.  1962).  Bay acreage
infested by milfoil increased from 20,200 ha in  1960 to 40,500 ha in 1961,  An
example of the rapidity with which milfoil infested the Bay was seen on the
Susquehanna Flats where a survey showed that the percentage of established
transect stations with milfoil was 0 in 1957, 1  percent in 1958, 47 percent in
1959, 94 percent in 1960, 71 percent in 1961 and 88 percent during another 1961
sampling of the same stations (Steenis et al. 1962).

     As dramatically as milfoil infested the Bay from about 1959 to 1965, it
declined just as rapidly.  However, the decline  was not uniform within the
entire Bay.  From 1959 to 1960, there was a decrease in milfoil infested areas
in the Lower Machodoc Creek, Virginia, for no known reason (Stotts 1961).
Rawls (1968) described changes in one Potomac River tributary, the Wicomico
River.  Milfoil was classed as abundant throughout the entire Wicomico River in
1964 and 1965.  In 1966 it was abundant only in  the upper portion of the river
above Mills Point and by 1967 was limited to a small acreage near Allan's Fresh
at the head of the river.  However, in 1968, there were 80 ha where there had
been 5 ha in 1967, and along the western shore between the power line river
crossing and Chaptico Bay, rooted milfoil beds covered an estimated 300 to 400
ha in a continuous stretch.  The previous year,  for the entire Wicomico, the
estimate was less than 4 ha of milfoil.

     Munro (1976b_) discussed the decrease in Chesapeake Bay aquatic vegetation
based on the 1971 to 1976 MBHRL survey (see Figure 6).  Milfoil declined over
the six-year survey from 3.85 percent vegetated  stations in 1971 to 0.96 percent
vegetated stations in 1976.  In attempting to characterize the spectacular
invasion of the Chesapeake Bay by milfoil, Bayley et al.  (in press) described
the milfoil spread on the Susquehanna Flats as  a  "wave phenomenon" from an
epicenter, spreading from the most optimal to the least optimal areas.  At
first milfoil was co-dominant with Najas spp. and Vallisneria americana.
Bayley et al.(in press) further stated that milfoil stands tended to become
homogenic and discrete within three years, but later were structured to include
several species of SAV at various densities.  In time the milfoil epidemic
receded and a new equilibrium was established.  In theory an area is most
susceptible to an epidemic when, the natural ecosystems are disturbed, partic-
ularly by man.

     The present (summer, 1977) statu  of Eurasian milfoil in the Chesapeake
Bay is uncertain.  The Susquehanna Flats Survey  and the MBHRL Survey were
conducted over July and August.  Unless tnese surveys uncover drastic changes
over 1976 populations, there will again be remnant stands and pockets of milfoil
in scattered areas of the upper Chesapeake Bay and its tributaries.


                                      17
 image: 








    1971
    1973
    1975
                                  \
                                  \
Figure 6.  Distribution of Myriophyllum spicatum, Maryland Chesapeake
Bay, 1971-1976
                                   18
 image: 








     Outside the Chesapeake Bay area, milfoil  has also infested many lakes  in
New York, New Jersey and Tennessee (Springer et al.  1961; Stotts 1961).   Eurasian
watermilfoil is still a problem in the Kawartha Lake region of Ontario,  Canada
(Steenis 1976).  It also has become a nuisance in such areas of British  Columbia
as Osoyoos and Kalamalka in Skaha and Okanagan Lakes (Newroth 1977).  As one
would suspect from the name, it is native to Europe  and Asia (Anonymous  1976),
and is widespread in Europe, Asia and parts of Africa (Springer 1959).
Eurasian watermilfoil is the chief submersed aquatic vegetation species  in
company with redhead grass (Potamggeton perfoliatus) and sago pondweed
(Potamogeton pectinatus) in the Kiliyskaya Delta of  the Russian Danube (Klokov
Zimbalevskaya 1974).Milfoil is also known to be in at least the middle
course of the Saale River of East Germany (Krausch 1976).

Environmental Factors Affecting Distribution

     Temperature.   Anderson (1964) and Anderson et  al. (1965) found milfoil
growing in temperatures ranging from 0.1 to 30 C in  the freshwater Twin  Ponds.
Vigorously growing milfoil was even found under 25 cm of ice.

     Titus et al. (1975) described temperature as a  primary environmental
forcing function.  In a production model, Titus et al. determined that a 10 C
increase stimulated a 10 percent increase in the peak standing crop.

     In the reactor cooling reservior Par Pond, South Carolina, the distribution
of aquatic macrophytes was studied by Grace and Tilly (1976).  The standing
crop of milfoil as measured by biomass, was most abundant at the warm station
(average maximum temperature was 23.8 C), was twice  as high as the cold  station
(maximum temperature was 2.2 C) and three times as high as the hot station
(maximum temperature was 26.3 C).

     Salinity.   Myriophyllum spicatum customarily inhabits fresh to brackish
waters.  Under natural conditions, milfoil can be found in salinities ranging
from 0 to 20 ppt (Rawls 1964).  At 20 ppt, Beaven (1960) found milfoil alive
during the summer, but plants exhibited little growth.  Only the foliage
remaining at the growing tips was alive.  From observations in the Chesapeake
Bay, Davis et al. (1974) commented that milfoil disappeared as salinities
increased to 13 or 14 ppt.

     In laboratory studies, Boyer (1960bJ found milfoil to grow well in  water
from 0 to 5 ppt.  Springer (1959) determined that milfoil rooted best at 3.5 ppt.
As salinities were increased, milfoil growth decreased.  Boyer (1960) proved
this experimentally; inhibition started at 10 ppt and became severe from 15 to
20 ppt.  Haller et al. (1974) in similar experiments, found some toxicity to
occur in salinities from 10 to 13.3 ppt.  At 16.6 ppt, plants died.

     Leaf area, stem diameter and extent of flowering was found to decrease
as salinity increased, while flowering was delayed or non-existent with
sufficient salinity increases.  When salinities increased above 15 ppt,  stems
broke near the bottom and large floating mats of partially decayed plant material
formed (Anderson 1964).
                                     19
 image: 








     Biological  stress induced by severe drought in  1933  to  1934  reduced most
vegetation in the lower Potomac River to remnant stands.   Presumably this was
due to salt water intrusion which moved as far up the Potomac River as  Mt.
Vernon.

     Alkalinity, pH, C02, 02.    Milfoil is generally absent  in more acid waters
while the alkalinity of brackish waters favor growth (Steenis and Stotts 1961).
Eurasian watermilfoil has an affinity for alkaline waters (Patten 1956) and can
precipitate encrusting marl under highly calcareous  conditions (Nichols 1975).
On August 1, 1962, near the mouth of the South River, Southwick (1972)  obtained
pH readings from 7.2 to 8.9; free C02=0.00, phenolthalein alkalinity =  7.25 to
21.0.  The readings were made as water temperatures  rose  from 25  C to 29 C.
Based on measurements obtained over a 13-hour tidal  cycle in the  Wicomico River
(Potomac River estuary) Anderson  et al. (1965) concluded  that a pH range from
5.8 to 9.7 and a low concentration of COa were not limiting  factors.  In field
studies, Rawls (1977) reported a pH range of 7.9 to  9.3 between June 24 and
October 16, in Chaptico Bay.  Oxygen during the same period  was measured from
5.6 to 9.9 ppm at the surface and 6.64 to 7.66 ppm at the bottom  in milfoil
infested waters.  Southwick (1972) stated that milfoil  could survive in oxygen
depleted waters (no levels given).

     Substrate.    Studies by Patten (1956) in Lake Musconetcong,  New Jersey,
correlated milfoil density to substrate particle size.   Maximum density coin-
cided with fine organic ooze while minimum density was found in sand.

     In the Chesapeake Bay, milfoil has generally been considered to grow best
in soft muck or sandy muck bottoms (Anderson 1972; Steenis et al. 1967;
Philipp and Brown 1965; Springer 1959).  However, milfoil is capable of invading
hard sand in protected areas (Steenis and Stotts 1961)  and in oyster beds
(Rawls 1964, 1965a_, 1975).

     Light, Depth and Turbidity.   The limiting or lethal extremes of depth,
turbidity and light as they apply to milfoil are not clear.   The penetration
of light into water is directly proportional to both depth and turbidity, and
turbidity in turn is a reflection not only of sedimentation  rates, but wave,
tidal and wind action, erosion, and a multiplicity of environmental factors
encountered under field conditions.

     From a production study in Lake Wingra, Wisconsin, Titus et al. (1975)
concluded that light and temperature were primary environmental forcing
functions.  Plant growth was limited in extremely turbid waters to 1.5 m, but
plants reaching the surface were able to slough off the lower leaves and thus
better adapt to turbid waters.  Patten (1956) felt that in Lake Musconetcong,
New Jersey, where milfoil was found in waters to 2 m deep, water depth and
temperature were secondary in determining milfoil density.  In studying the
relation of depth to temperature, Grace and Tilly (1976)  looked at three stations
in a reactor cooling reservoir.  Rooting depth was greater at the cold station
than the hot: 4 to 5 m at the cold; 4 m at the warm; and 3 m at the hot station.
Light penetration may have been partially responsible.
                                    20
 image: 








      In the Chesapeake Bay milfoil  ius been found to require moderately high
light intensity, is sensitive to turbidity and grows in water more than 2 m deep,
if clear (Southwick 1972).  Springer et al.  (1961) reported milfoil  in clear
water to 3.5 m deep at high tide, and in 1.8 to 2.1  m when the Secchi  disc read-
ing was 0.8 m.  Rawls (1964) found milfoil growing in clear waters from a few
centimeters deep to 2.7 m deep at mean low tide (tidal  amplitude in  the upper
Chesapeake Bay areas studied averaged about 0.5 m).   Southwick (1967-1969) felt
that low light and turbidity might have been the main limiting factors for mil-
foil establishment in Back River at Baltimore.  Rawls (1971bJ during field
studies in Chaptico Bay, found dense milfoil beds in waters where Secchi disc
readings ranged from 0.5 to 1.2 m.  During the period of this study, carp-root-
ing action kept the water extremely turbid in fingers and small  guts,  but mil-
foil was present in moderate to heavy stands and extended to the surface at high
tide.  A Secchi reading in these areas at such times of carp activity was about
7.5 cm.

      Kerwin et al. (1975bJ assumed turbidity along  with salinity to be major
limiting factors affecting the distribution and abundance of vascular aquatic
plants in the Chesapeake Bay.  Rawls et al.  (1975) pointed out such  activities
as bank and upland erosion, construction, dredging,  increased boating, stream
channelization and straightening and eul.rophication  were contributing factors to
turbidity increases.

      Current, Wind and Wave Action-   Milfoil grows best in protected waters
but can withstand tidal fluctuations of 0.6 m (Springer 1959).  Milfoil is vul-
nerable to strong tidal currents and wave action that might not affect other
native, rooted submersed aquatic vegetation species  (Rawls et al. 1975).  Severe
wave action limits milfoil establishment, but once established,  milfoil helps
reduce wave effects (Stotts 1961).

      Sedimentation.  Grace and Tilly (1976) list Sculthorpe (1967)  in their
literature cited, and attribute him with having generalized that milfoil is
likely to be eliminated from regions where suspended solids tend to settle at
high rates.

      Nutrient Response.   The growth of aquatic weeds, including Eurasian
watermilfoil, is promoted through enrichment of habitat waters by nutrient
materials, mainly nitrogen and phosphorous,   The chief sources of these nutrients
are fertilizers, sewage effluents, disposal  plants,  overflow and seepage from
septic tanks, waste from pleasure craft and other vessels and migrating ducks
and geese (Elser 1966).

      Dr. Clyde Reed pointed out (Beaven 1962) that in Maryland, all waters that
were heavily infested by milfoil received their runoff from limestone areas.
This was also true in T.V.A. lakes and other areas where milfoil was abundant.
With a reduction in coal mining in Pennsylvania, acid wastes finding their way
into the Susquehanna River at the head of the Chesapeake Bay decreased and cal-
cium ions sharply increased in recent years.  This has favored growth of milfoil
in the upper Bay.  John Gallagher reported (Beaven 1962) that the milfoil problem
was severe in northern New Jersey where the presence of iron was high.  Anderson
(1964) found no significant increase in minerals in milfoil, despite mineral in-
creases in waters from which the milfoil was taken.   He felt that milfoil could
use the bicarbonate ion directly from the wafer for its carbon source since
                                      21
 image: 








carbon levels were almost identical in milfoil taken from fresh waters as milfoil
taken from brackish waters.  Potassium and sodium were concentrated in plants
taken from fresh water, but not in plants from brackish waters.  The magnesium
ion increased in the plant as it increased in the water.

      In a New Jersey study using plastic ponds and pond water, Ryan et al.
(1972) investigated the effects of fertilization on milfoil, El odea canadensis
and Potamogeton pulcher.  The addition of NH^, N03, phosphorus and potassium
added nothing to plant growth the first year.  In the second year, £_. pulcher
benefited, but milfoil and El odea grew better in a control environment, possibly
due to no competition from algae.  Mulligan  et al. (1976) experimented with
nitrogen and phosphorus fertilization  on Elodea, milfoil (Myriophyllum spicatum
var. exalbescens), Cfiratophvllum demersum, Potamoqeton crispus and algae in 0.004
ha experimental ponds at Cornell, New York.  High fertilization tended to elimin-
ate benthic plant populations and decrease the standing crop of phytoplankton.
Elodea grew in the high nutrient levels, but Ceratophyllum and Myriophyllum were
eliminated.  Amonium nitrate and triple super phosphate were used in weekly
applications.  Low  fertilization rates were 0.05 mg nitrogen/1 and 0.005 phos-
phorus/1; high rates were 100 times the low amounts.

      Susceptibility and Control.  Due to extensive research initiated to deter-
mine effective methods of control for Myriophyllum spicatum, a strong data base
is available concerning elements,compounds and organisms that negatively impact
milfoil.  Natural physical controls such as sedimentation, light, turbidity and
salinity have been discussed previously.  Some are quite effective.  For instance.
in North Carolina at Pea Island Refuge, just south of Currituck Sound, milfoil
beds were decimated by salt water intrusion in 1962 and by 1967 had not regained
problem status (Crowell et al. 1967).

      Bio-controls may cause reduction of milfoil beds also.  In 1963, when mil-
foil began to disappear in many areas, some milfoil beds in the Potomac River
were so smothered by blankets of diatomaceous algal growth, that milfoil photo-
synthesis would have to have been highly reduced, if even possible.  Other plant
species associated with milfoil were similarly affected, (e.g., Potamogeton
perfoliatus) (Rawls 1964; Steenis and King 1964).  A minor controlling influence
might have been barnacles which set on milfoil stems, virtually weighting them
to the bottom, or furnishing resistance to mechanical actions of tides and winds
until the stems became broken.  However, since only a node is required to begin
a new plant, thinning of milfoil in such a fashion would be strictly localized
and distribution possibly even enhanced.

      Boyer (1960), while experimenting upon milfoil in tubs, found that after
25 days such an intense diatom bloom developed that milfoil growth was inhibited.
Boylen and Brock (1974) identified the diatom Cymbella as epiphytic on stems
and leaves of milfoil decaying under ice in Lake Wingra, Wisconsin.   They also
found a heavy epiphytic mat of Oedogonium sp. on milfoil from June to September.
Sparrow (1974) reported a species of the fungus Physoderma found on M_. spicatum
in Squaw Lake, Michigan in 1972.

      The Agricultural Research Service through Public Law 480 has sponsored
research on bio-control by insects on plant hosts.  Larvae of the moth,
Farponyx stratiotata and the weevil (Litodactylus leucogaster) prefer to feed on


                                      22
 image: 








milfoil.  Another moth species, P_. allionalis, in Florida seems to have similar
habits, but further study is needed (Sailer 1972).

      Pumpkinseed (Lepomis gibbosus) was seen (Rawls, personal observation) in
shallow shoreline waters uprooting milfoil by nosing and finning it out of the
substrate until an area large enough to accommodate their nest had been cleared.
When many nests occupied a small area, the small depressions were noticeable in
an otherwise unbroken band of milfoil.   Carp, noted for rooting activities and
creation of turbid conditions, can clear an area of milfoil.  But by fragmenta-
tion, both carp and pumpkinseed can indirectly aid in milfoil distribution
Steenis and King 1964).  Rawls et aT. (1975) gave examples of carp destructive-
ness.  Almost 5,000 ha of aquatics were eliminated by carp in the late 1950s on
-on the Susquehanna Flats.  In Marshall Creek, off Nomini Creek, a Virginia tri-
butary to the lower Potomac River, a surface mat of milfoil was eradicated by
carp in the last two weeks of May, 1968.

      Much research has been conducted on a possible disease control of milfoil.
One of the earliest observations that subsequently led to studies of the "Lake
Venice" disease of Eurasian watermilfoil was made by the late Harold Elser
(Haven and Wass 1963).  Elser watched the reduction of milfoil in Lake Venice,
Maryland, during the summer of 1962, and suggested a natural control might be
operating.  Elser (1966) said that there might actually be two diseases involved
but since the phenomena affecting the plants were not definitely known to be
diseases, perhaps "valetudinous plants" would be a better word than disease.
The Lake Venice disease had reduced the plant cover from 100 percent to 20 per-
cent by 1963, and to 10 percent by 1964.

      The chief characteristic of the disease was a heavy overgrowth of diatoms,
epiphytic algae and various sessile protozoans.   These organisms became so
thick that along with the silt they collected, the leaflets became entirely ob-
scured.  Elser did not know whether the overgrowth was the disease or the symptom.
By 1964, the so-called Lake Venice disease was seen almost everywhere in the Bay,
usually affecting large areas.

      The second disease was first noticed by Maryland biologists Vernon Stotts
and Guy Lerner in the Northeast River, tributary to the northeast corner of the
Susquehanna Flats at the head of the Chesapeake Bay.  The condition was charac-
terized by a stiffening of the stem and leaves.  As the disease advanced, the
leaves fell off, leaving stiff bare stems which stood out of the water at low
tide.   However, the roots apparently were not affected because new growth
started even before all the dead stems were gone.  In late June of 1964, the
extensive beds of milfoil in the upper western shore Bay tributaries (Seneca,
Salt Peter and Dundee Creeks) had all but disappeared, but by the first of
August, new growth again had reached the surface.  By 1964, the two diseases
were so widespread that it was difficult to find four tons of healthy milfoil
for experiments.

      The Department of Chesapeake Bay Affairs, as reported by Johnson (1966),
estimated that by 1966 the total milfoil remaining in the Bay was less than 15
percent of the 40,500 ha estimated to be present in 1963, presumably because of
the diseases.  Elser was quoted as having said, "However, during the last week
of July many beds of milfoil suddenly showed a very rapid growth of new stems.


                                      23
 image: 








This new growth flowered profusely, a phenomenon which had not been observed
since 1964.  The new, lush growth of milfoil  remained healthy for about two
weeks when definite symptoms of the disease again appeared.   By the middle of
August, the plants again were seriously infected and it appears that beds will
be further diminished."

      Elser (1967) stated that by 1965, only 5 percent of the original  milfoil
acreage remained in Lake Venice.   There was a definite lack of flowering on
diseased specimens, but in July,  1966, with the explosive growth from old stems
(up to 10 cm per day), flowering  began immediately.

      Bayley et al. (1968) believed pathologic conditions were responsible for
the decline of milfoil.  Northeast disease symptoms  were transmitted in the
laboratory by a bacteriologically sterile filtrate passed through a 0.2 micron
filter.  This could indicate a virus, vi-us-like particle or a toxin as the
etiologic agent.  Gram-negative bacilli   tained from diseased milfoil  probably
represented a secondary infection.  Because diseased milfoil in some Bay areas
showed a resurgency of growth in  1967, and successfully flowered, it was thought
possibly to indicate development  of genetic resistance to the pathogen, or a
natural cyclic pattern with reduced pathogen virulence.

      Southwick (1967-1969) detailed in quarterly progress reports studies of
the Northeast disease of milfoil.  In 1968, infectivity of an active filtrate
from diseased milfoil was significantly reduced by heating to 70 C for 30
minutes.  This was considered as  evidence of virus.   Electron microscopy of a
filtrate from diseased plants revealed virus particles 80 millimicrons in length
which resembled the potato yellow dwarf virus in morphology, though smaller.  In
1969, Southwick (1967-1969) was unable to detect the milfoil virus by physical
tests on frozen preparations of diseased milfoil.  This indicated an agent un-
stable to freezing and storage and not easily characterized by standard viro-
logical techniques.  In a later 1969 progress report, Southwick was unable to
isolate the virus and demonstrate infectivity as in  1967 and 1968.  He believed
the main wave of the virus had passed but the symptoms persisted.  He was unable
to infect milfoil with other common plant viruses.  In the last progress report
of 1969, Southwick wrote that milfoil had disappeared from the three study areas,
presumably the Back, Middle and Rhode Rivers.  The complete loss was attributed
to diseased conditions in September.  He reported that milfoil had continued to
decline the last four years in the'Middle and Rhode  Rivers and that summer growth
was not persistent.

      Steenis (1970) reported that no virus-type disease factors had been noted
in the Currituck Sound area, that attempts to introduce the disease into TVA
lakes were unsuccessful and that  symptoms had been noted in the Chassahowitska
area in Florida, but not in the adjoining Homossassa and Crystal Bay localities.
Attempts by Bayley and Weldon to  introduce the disease into Crystal River also
failed.  Steenis (1970) pointed out that the disease factors accentuated vulner-
ability to adverse environmental  conditions.

      Bean et al. (1973) performed a laboratory study on Lake Venice disease.
They were not able to produce diseased plants by direct innoculation of healthy
plants or by growing diseased and healthy plants together.  However, plants
under low light intensity innoculated with extracts  of diseased tissues produced


                                      24
 image: 








symptoms resembling  Lake  Venice dise<r-::
under stress conditions  and to increase \-'  .
organisms.

     A natural or  biological  control o;" a '••  .
duction of herbicides  into waters which fr •
undesirable pollutants.   Usually bio-con'n
ately available, so  often the urgent nox"! '
tion requires  the  careful and immediate- ••-•
knowledge of what  effects such an herbieH
general environmental  quality surround'-v; r

     Steenis (1966)  referred to some nr in-
effectiveness  of a  herbicide.  Laboratov1'
is requisite,  but  one  is  not necessari; • * • :<
herbicide that is  effective on one pUnt
certain time and in  a  particular geojrip''"
physical and biological  character]':;, ic, ;n
away where an  application is made within .n •                             '.  ""
and where environmental  parameters appea-
Jersey, milfoil's  vulnerable period to !Vl  ;                              .  M.-
in the Chesapeake  Bay, the vulnerable peri;.:                             .«:ie
herbicide extends  from the last 10 days ^
Apparently, anthesis and  density of the r,>':                               •---.>-•
logical difference.

     Sodium arsenite at one time was Vfide'y   •       ••  •                 " r-t.ion.
In an Iowa lake, Myriophyllum s pi catnip ar/ii ••••	                 • •  .
treated from the air and  by boat with  t.hi? .;-'-:      •  -•                  -f  ;  r,o 5
ppm.  Fishes were  not  adversely affe:f,t-I  ••••,   .  ^                           >:
and cray fish  were killed (Rose 1955),

     Through the years other chemical', ii.v,- '..<,
(1975) used glyphosphate  at up to 5,000 p;vi •-.  :• •
ineffective in preventing root regrowth.   r-   ; '-.
2,4-D, Fenac and silvex in weighted emulsioi'.c. - •'    -•:                . ••-  ;
learned that control was  hampered and co»ip- '•  r                        •
(Springer and  Stewart 1959).  Sprinqer ;_;r .->!   '•••                  "  •  .--j.-'ular
formulations of ^,4-D  esters at 2? t'i  "1 '-•• ;•                           ^-'  -"lat
2,4-D was less expensive  and more speclt;   >•'*,-                  -T-v ,  -,\-
Steenis and Stotts (1961) found that of !6 O^-'M-.   ;    •   -           •   -or^en-
trations, 2,4-D as noted  above was nior',' ^'•  .         -              •   •'.:••;• • be
applied when the tide  was ebbing or ne^r " :'•.•••;•                      .  ; • ;ai,hed
the surface and the  water temperature v;ar ..•:  ^                        '  r '   Uq65)
stated that diquat was picked up more rapid'-   ..-.    •-             ..-•*   h"=;per-
sal was obtained with  it, but that itseffe--'; " -,                 <     ;-,  ;o.is
factors such as roiled water and algal -did r,r>\

     Beaven (1962) wrote  that the most con'• > ;                         •.   u i
tained with esters of  2,4-D (butoxyethano'' ,  '<-  •"•  :      ,        :-    -j---! ' •• to
butyl ether).  Dosage  rates at 2? kq/hn 3.0       ••                    •>-• •'--•*,
and when water movement was limited, the amirv.-1   *                    '   ••  ,.-2.
gave similar results.    Herbicides were iiiip'-:'.                         •  ,>
                                      c :~i
 image: 








attaclay granules and dispersed by an air blower through a  hose  mounted  on the
bow of an outboard motor boat.

     Stanley (1974) found in a  laboratory study that the effectiveness of 2,-
4-D was twice as great on milfoil  growing in soil  than  on milfoil  growing in
sand.  Calcium chloride added to sand cultures  caused a comparable or greater
increase in 2,4-D effectiveness than sand cultures without  calcium chloride.
In TVA field treatments there was  up to 48 percent difference  in effectiveness
between areas that had the highest natural  calcium content  and the lowest.

     In laboratory experiments, Stanley (1974)  investigated the  synergistic
effects of combining 2,4-D with other compounds.   He found  that  control  effec-
tiveness increased with HgCl2,  A1C13,        NaCl, NaAs02 and  CuSO^.   Nad  as
a synergist, however, required  concentrations so high that  it  was  economically
and environmentally unfeasible.   Stanley felt  that this high  concentration
demand might account for the erratic results in  field tests  of  2,4-D on milfoil
in estuaries subject to salinity fluctuations.

     Controlling milfoil  by shutting off light  from the plant  has  been studied.
Smith (1962), in TVA lakes, experimented with black polyethylene covers  held
in place over milfoil beds with anchors and floats.   In 72  days, this complete
shading killed the plants, while a 21 day period did not (Beaven 1962; Smith
1962).  Elser (1967) stated that a black aniline dye had been  successfully used
in Arizona in 1947 to shade out plants.  It was quite successful,  but required
a year to produce results.  In  1965 to 1966, experimental use  was  made of black
plastic anchored and weighted to the bottom or  floated  over the  top of milfoil
beds in the South and Sassafras Rivers.  From these experiments, Elser  (1967)
concluded that black plastic floated on the surface for a two-week period early
in June would give weed control for the entire  summer.

     Mechanical  control (underwater cutting, mowing, scraping, dragging, water-
jetting with numerous variations and combinations) has  also been used in milfoil
eradication attempts.  Springer (1959) mentioned that  cutting about 15  cm above
the bottom with  a small,  horizontally-mounted buzz saw  made possible the tem-
porary clearance of about 0.5 ha day at a daily cost of $40 (1959  figures).
Revegetation of  the cut area occurred during the same or following season but
the cut portions created new infestations.   Elser (1966, 1967) described dif-
ferent devices used for cutting and/or removing aquatic weeds: hydraulic jets;
a 15 m steel ribbon with saw teeth on both sides and wooden handles on the ends;
and a V-shaped blade dragged along the bottom.   He also mentioned  that the
Department of Chesapeake Bay Affairs owned a large harvester which, though it
did a good job,  would have taken 37 years to get around once to  all the  Bay's
weed beds, even  if the machine  would work all year-round.  Mowing, at best,
Elser concluded, was a temporary measure.  Rawls (1964, 1975)  concluded  that
mowing alone was effective only for a season and had to be  repeated monthly,
depending on the type of activity  necessitating the mowing. Cutting followed
by 2,4-D application at usual rates extended milfoil's  vulnerable  period beyond
anthesis, but the control effects  were scarcely noticeable  the following season.
Mowing seemed to be practical only for small areas such as  private boat  docks,
small marinas, opening short channels to open water, etc.
                                     26
 image: 








     As previously pointed out, salt water intrusion decimated Eurasian water-
milfoil in the lower Potomac River in 1933 and at Pea Island National  Wildlife
Refuge in 1962.  Knowles (1976) developed two models evaluating control through
salinity manipulation in Currituck Sound,  Economically,  neither the pumping in
of salt water or the opening of an inlet to the sea seemed feasible.   Also, if
salinity were to be raised, other fresh water macrophytes would probably be ex-
cluded.

     A further control method that has met with success in TVA lakes is water
level manipulation along with herbicide application.  However, conditions with-
in the Chesapeake Bay estuary preclude the use of such measures.

Productivity

     Productivity of Myriophyllum in the natural  environment is influenced by
a host of environmental factors.  Inclusive are carbon sources and concentra-
tions, light, temperature and salinity.  Variations in these factors may affect
productivity alone or variations in two or more factors may produce synergistic
or antagonistic interactions.

     Myriophyl1 urnis able to utilize the bicarbonate ion as a carbon source
(Anderson 1964; Hutchinson 1970, cited in Nichols 1975; Van et al.  1976) though
free C02 is the preferred form (Van et al. 1976;  Steemann Nielson  1951).  Mil-
foil can also utilize half-bound C02  (Patten 1956).  Carbon sources are absorb-
ed by both the upper and lower leaf surfaces.  The absorption and  subsequent
translocatiqn is linearly dependent on the ion concentration up to a concentra-
tion of 10~°M CO?(HC03~) /I under optimum light conditions.   There is a decrease
in HC03" adsorption when Myriophyllum is switched from a balanced  salt solution
to a pure solution of KHC03, NaHC03 or Ca(HC03)2  with the same HC03~ concentra-
tion.  Photosynthesis rates respond rapidly to changes in aqueous  concentrations
of carbon with decreasing photosynthesis as carbon levels decrease (McCraken
et al. 1975).

     Hydrogen ion concentration indirectly affects photosynthesis  by affecting
the carbon concentration.  Milfoil photosynthesis, when taken from pH 3.1 to
9.3, is unduly affected by the reduction in free  C02 (Van et al. 1976); however,
Shiyan and Merezhko (1972) found the efficiency of milfoil to be 10 times higher
in alkaline solutions than in acid conditions provided in two had  equal C02 con-
centrations.

     Titus et al.  (1975) pointed out that milfoil has the potential of becoming
a plant nuisance in thermally enriched environments, probably due  to high optimum
temperatures required for milfoil photosynthesis.

     Several authors have reported on the effects of light on photosynthesis.
Steemann Nielson (1951) in a  laboratory study with milfoil grown in optimum light
and in optimum HC03~ concentration showed that photosynthesis was  not limited
by a photochemical reaction. In Lake Wingra, Wisconsin, Adams et al. (1974)
found that at a depth of 2.4 m, 56 percent of the photosynthetic activity
occurred within 1.0 m of the surface in May.  In August, 57 percent occurred
within only 20 cm of the surface.  They concluded that light and depth distri-
bution of photosynthetic tissue was most important in causing variation in


                                     27
 image: 








photosynthesis.   McCracken et al.  (1975)  stated  that  photosynthesis  peaked  at
mid-day or shortly thereafter.

     Photosynthesis, but not respiration,  appears  to  be  affected  by  salinity
although there seems to be  a   controversy.   Without  giving  quantitative  salinity
measurements, Boyer (1960) stated  that there was no difference  in milfoil  res-
piration and photosynthesis in  fresh  or saline waters.   However,  in  the labora-
tory, McGahee and Davis (1971)  demonstrated  a depression in  photosynthesis
when apical portions of My r i o p hy 11 urn  we re  taken  from  lower to higher salinities
and whole plants were killed or stunted at 13 to 14 ppt.  Graham  and Davis
(1972) found that photosynthesis was  inhibited at  32  ppt after  20 hours but
that respiration was unaffected.   After 10 days  at 16 ppt photosynthesis  was
low.  At salinities of 4, 8,  16 and 32 ppt,  net  photosynthesis  was found  to
decrease with increased salinity  in light  bottles, but again respiration  was
little affected  in dark bottles.   The effect was found to be reversed if  CaCl2
was added to high concentrations  (1:22 and 0.1:22  Ca:Na).  At lower  concentra-
tions (0:22 and  0.01:22 Ca:Na), milfoil cells were observed  to  disintegrate
and the membranes ruptured (Davis  et  al.  1974).

     McGahee and Davis (1971) studied interactions between  light  and depth  in
regard to photosynthesis of apical  portions  of Myriophyllum  collected in  water
0 ppt salinity.   Under 20 hours of low light in  constant illumination and in
32 ppt, photosynthesis was depressed  but neither photosynthesis nor  respira-
tion was affected when salinity was lowered. With moderate  light in a light/
dark regime of 10 hours/14 hours,  photosynthesis was  inhibited  at 16 ppt  and
respiration remained high.

     Milfoil grows rapidly.  In the Chesapeake Bay, during its mid-summer  pro-
duction peak, it can grow 2.5 cm a day after being severed by an  underwater
mower (Rawls 1964), or after being cut in  other  growth periods, as much as
45 cm per month  from a new node (Rawls 1975). Smith  (1962)  found 1  m of
growth in one season from a 7 cm fragment  in a TVA lake.  In turbid  waters
where the lower  leaves are sloughed off, the same biomass tends to become con-
centrated in the upper canopy.   Loss  of lower leaves  also occurs  in  non-turbid
waters of the Chesapeake, and appears to be characteristic of Myriophllum
spicatum particularly in dense beds (Rawls,  personal  observation).

     Adams et al. (1974) determined that the maximum  ash-free dry weight  of
a standing crop  of milfoil (220 g/m2) was  about  100 g C/m2.  Nicholson and
Post (1975) stated that ash content was required to estimate organic produc-
tion and possible economic uses.   Ash content increased  with alkalinity  in
the Haloragaceae but not in some other aquatic plant  families.

Consumer Uti1ization

     As with most submersed aquatic vegetation species,  Eurasian  watermilfoil
provides some or all of the basic  life requirements—food,  shelter,  protection,
nesting and resting—for animals  and  to a  lesser extent, plant  species assoc-
iated with it or coming in contact with it.

     Many of the minnows and larger fish are known to deposit eggs on sub-
mersed vegetation.  When plant species serving  this purpose  are listed,


                                     28
 image: 








milfoil is frequently among them.   Rawls (1975)  observed fishermen casting for
largetnouth black bass (Micropterus salmoides)  along the edges of experimental
plots cleared of milfoil  in Dundee Creek.The fishermen reported excellent
catches as long as plots  remained  open.   Crowell   et al. (1967)  reported that
in the Currituck Sound-Back Bay area, an increase in sport fishermen catch rates
occurred until milfoil  beds became so dense the  edge effect was  lost.

     Patten (1956) stated that waterfowl feed  upon milfoil achenes, and from
his literature cited, mentioned that Guppy in  1897 suggested that seed germina-
tion might be increased by passage through the alimentary system of birds.
Patten (1956) concluded that waterfowl were probably the most important disper-
sal agents of fruits to various drainage systems.  However in food habit studies
in the Chesapeake Bay (Rawls, in press), most  of the milfoil seeds in  waterfowl
gizzards were crushed and broken by the powerful  grinding action of the gizzard,
unless the seeds were freshly ingested.    Patten (1956) suggested that the small,
slime-covered spring buds or turions were able to adhere to waterfowl  feet be-
cause of a glucosidic envelope and provided a  potential source for milfoil dis-
tribution into new areas.

     Springer and Stewart (1959) reported that Coot (Fulica americana), Wigeon
(Anas americana) and probably Gadwall (Anas strepera) have been  observed feeding
on milfoil.   Crowell et al. (1967) discovered that apparent feeding by water-
fowl on milfoil in the Currituck Sound-Back Bay area was deceiving.  Milfoil
was growing in the same type habitat as were preferred plant foods and after
about the third year, as  desirable foods were  crowded out by milfoil,  waterfowl
left and moved to areas where choice foods still  existed.

     Bayley et al. (in press) observed that waterfowl numbers decreased on the
Susquehanna Flats during  the period of greatest milfoil abundance.  Martin et  al.
(1951) classified milfoil as a low grade duck  food.  However, though the quantity
of woody seeds eaten was  usually small, the nutlets were eaten to a considerable
extent in the prairie lakes of the Dakotas and in adjoining states.   Florschutz
(1973) examined the contents of 170 waterfowl  digestive tracts collected in the
vicinity of Back Bay and Currituck Sound during hunting seasons  from 1968 to
1971.  Included were 27 Canada Geese, 6 species  of dabbling ducks, and 4 species
of diving ducks, plus 31  Coots.  Milfoil was found in 71.8 percent of the birds
and comprised about 33 percent of the total food volume.   The highest milfoil
use was noted in Scaups.   Rawls (in press) examined 2,747 waterfowl gizzards
taken during hunting seasons in the Chesapeake Bay area during 1959 to 1968.
Represented were 2 species of geese, 6 species of dabblers, 8 species  of divers
and 1 species of Merganser.  Slightly over 10  percent contained  milfoil seed,
stems or leaves.  In volume, milfoil averaged  4.2 percent by volume of all foods
eaten, and per individual bird, ranged from zero or trace amounts to 100 percent.
Wigeons used milfoil to the greatest extent (over 21 percent) of all birds ex-
amined.

     Milfoil offers attachment sites for organisms which later become food for
higher life forms (Springer 1959;  Springer et  al. 1961).  Patten (1956) found
that milfoil offered support for attached Aufwuchs and detached organisms such
as tychoplankton and that milfoil, because of  its finely dissected leaves, could
support more periphyton than most other aquatic phanerogams.
                                     29
 image: 








Economic Uses and Problems

     The redeeming qualities of milfoil  are not as noticeable as  the problems
it causes.   However, Myriophyllum spicatum is not totally devoid  of positive
features.  Springer (1959) noted that milfoil could occupy sites  which other-
wise would be inhabited by objectionable algae.  Nichols  (1975) found that
milfoil was a good hydrosol stabilizer,  and as animal  food, had a high xantho-
phyll content and was comparable to alfalfa in protein content.   However,  Haven
and Wass (1963) noted that milfoil  xanthophyll was unstable.   Haven and Mass
(1963) reported that the amounts of Ca,  K, Na, N, P, and  Mg were  insufficient
to class milfoil as a good source of nutritive elements.

     Elser (1966) reported that the high ash content of milfoil precluded  its
use as a chicken food because it gave the birds diarrhea.  As cattle food, it
was about as good as high quality hay (about 19 percent protein).  Milfoil's
chief drawback was its water content of  90 percent .  Elser (1966) added that
one Annapolis high school girl  made cookies of milfoil flour and  pronounced
them good.   Elser (1967) wrote  that milfoil's N-P-K value was 3-2-5.  This was
better than cow (2-1-1) or sheep (1-1-2) manure (Elser 1965).

     However, the story of milfoil  is concerned less with pleasure and more
with vexation ranging from mildly annoying to verging on  economic disaster.
In order to cope with ramifications of the milfoil explosion, an  interagency
cooperative effort of personnel representing Federal, state, private,  educa-
tional, commercial and industrial interests plus representatives  of the general
public met annually from 1959 through 1964 to discuss any and all aspects  of
milfoil infestation not only in Maryland, but in other affected areas.  Agencies
and their representatives most  active in milfoil investigations in the Chesapeake
Bay area were:  U.S. Fish and Wildlife Service, Patuxent  Wildlife Research Center
(John Steenis); Maryland Department of Natural Resources  Wildlife Administration
(Vernon Stotts); Virginia Institute of Marine Science (Dexter Haven); University
of Maryland, Chesapeake Biological  Laboratory (Charles K. Rawls,  Gordon Beckett,
Theordore Will and G. Francis Beaven).

     By early 1963 (Kelly 1963), milfoil had become such  a problem that a  noxious
weed bill H.R. 2994 (Morton) was introducted in the House of Representatives.
The bill provided for the control and progressive eradication of certain aquatic
plants in Maryland, Virginia, New Jersey and Tennessee.  It was concerned  with
Eurasian watermilfoil and involved Federal and state cooperation  through the
U.S. Army Corps of Engineers.

     The impacts of the milfoil explosion were felt in many areas of the
Chesapeake Bay.   Waterfowl distribution was affected because winter feeding
grounds, such as the Susquehanna Flats,  seemed to lose their attractiveness to
many species of water birds, among them, Canvasback (Aythya vallisneria),  a
threatened species.  Springer et al. (1961) identified some of the aquatic plants
favored by waterfowl for food which milfoil chokes out:  Potamogeton pectinatus
Vallisneria americana and Ruppia maritima.  Steenis and Stotts (1961) noted that
oxygen was reduced under the heavy, surface milfoil blanket.
                                     30
 image: 








     Milfoil interferes with oyster (Crassostrea virginica) growth by reducing
water movement and restricting flow of food to oysters.  Lack of water move-
ment also permits surface water temperatures to increase to the point they may
have detrimental effects to plants and animals in shallow waters.  Anaerobic
conditions arise as a result of decomposing milfoil, and sulphur bacteria then
release hydrogen sulfide, killing the oysters.  In addition, dense mats make
harvest almost impossible by dredge and tongs.

     Milfoil seriously interferes with angling, with fishing by means of haul
seines or fyke nets and with crabbing by pots, trot lines and scrapers.  Milfoil
also restricts navigation for commercial fisheries, curtails pleasure boating,
water skiing, swimming and clogs water intakes in pumps and motors.  It con-
tributes to a more rapid build-up of the bottom through deposition of organic
material and facilitation of silting.  Milfoil beds appear to provide conditions
suitable for mosquito (Anopheles quadrimaculatus) and possibly certain Culex sp.
Undesirable odors are created by windrows of decomposing vegetation deposited by
wind and tide on shorelines.  The possibility exists that milfoil can impart
off-tastes to the water and it may lower nearby real estate values.


ZOSTERA MARINA2

Biology

     General Morphology.   Zostera marina is one of the few species of aquatic
plants to inhabit the marine environment (Hartog 1970).  It is a true flowering
plant belonging to the phylum Spermatophyta and to the class Monocotyledoneae
or plants with embryos with a single cotyledon.  It is a member of the pondweed
family, the Potamogetonaceae.  The plant is known commonly by many names, the
most widely used being eel grass, but sometimes referred to as grass wrack.  The
name Zostera comes from the Greek word Zoster, a belt, in reference to the long,
blade-like leaves of the sea.

     Eel grass has a creeping rhizome, 2 to 5 mm thick, with numerous roots and
a leaf at each node.  Internodes are 10 to 35 mm long.  The tubular, membranous
leaf sheath may be 5 to 20 cm long and is wider than the leaf-blade.  The leaf-
blade may be up to 120 cm long and 2 to 12 mm wide with 5 to 11 nerves (Hartog
1970) (see Figure 7).

     The leaf-blade of eelgrass displays a variety of morphological forms de-
pending on the depth of the water, salinity, temperature, current regimes and
sedimentological characteristics (sand, mud, related nutrients) (Orth, in press;
Ostenfeld 1905; Butcher 1935; Burkholder and Doheny 1968; Harrison and Mann 1975
Hartog 1970; Setchell 1927, 1929; Phillips and Grant 1965; Phillips 1972; McRoy
1966, 1970ju 1970b_; Philip 1936).  In general, eelgrass has usually displayed
the small narrow-leaf form in shallow, more physically exposed, sandy substrates
2Special contribution from Rober Orth, Virginia Institute of  Marine Science
                                     31
 image: 








 (copied from Hotchkiss  1967)
Figure 7.   Eelgrass (Zostera marina)
                     32
 image: 








while in deeper muddy and/or less exposed areas, the longer, wider form pre-
dominates.   These characteristics  are typical  of the eelgrass found in various
locations in the Chesapeake Bay with one exception.   The eelgrass at Tangier
Island is exceedingly lush (turions over 1  m long in water only 0.3 m at MLW)
and may be a response to nutrient addition from the adjacent, low lying, un-
sewered community.  Orth (in press) found that the addition of commercial  fer-
tilizer increased the growth of eelgrass significantly (both length of turions
and biomass) in a bed on the Eastern Shore of Virginia and suggested that the
growth form may be a function of the amount of nutrients in the sediment.  Sedi-
mentary nutrient content may in turn be directly related to sediment type (i.e.
mud or sand).

     This difference in growth form has created some taxonomic problems in that
two species of eelgrass have been described, one for each form (Hartog 1970).
However, Phillips (1972, 1974bJ has demonstrated via transplants, that eelgrass
maintains phenotypic plasticity and conforms to the conditions of its environ-
ment.  One interesting observation is that of Blackburn (1934) who noted that
after the wasting disease in the 1930s in England the narrow-leaf form returned
in areas where the wide leaf form had previously been found.  The drastic change
in sediment type after the disappearance of eelgrass (mud to sand and associated
nutrient changes) may have resulted in the change in form of the grass.  Similar
observations have been made in the York River, Virginia, after the disappearance
of eelgrass in this area (Orth, personal observation).  The eelgrass inhabiting
these areas, in what were once extensive meadows, is of the short, narrow leafed
variety where, prior to the loss, the long, wide-leaf form was prevalent.   The
sediments in this area have been drastically altered after the removal of eel-
grass (Orth 1975a).

     Reproduction.  Vegetative propagation as in most other aquatic plants occurs
via elongation and growth of the rhizome.  Sexual reproduction occurs with the
formation of generative shoots which are erect branches born from the prostrate
perennial rhizome.  These shoots are normally terminal on the rhizome (Churchill,
in press; McRoy 1966; Orth, personal observation; Setchell 1929) but may appear
on lateral branches (Phillips 1972).  Reproductive turions may represent 3 to
22 percent of the total number of turions (Churchill, is press; McRoy 1966,
1970aj Phillips 1972; Sand-Jensen 1975; Orth, unpublished) but may be as much
as 100 percent of the turions (Felger and McRoy 1975).

     Eelgrass is monoecious, bearing both stamens and pistils in structures
called spathes, born on the reproductive shoots.  There may be from 1 to 25
spathes per turion (see all references in first paragraph of this section).
Pollination occurs with the aid of water currents.  The stigmas of the pistils
protrude through the spadix opening and are pollinated by contact with the
drifting, threadlike pollen grains (Phillips 1972).   Flowering and fertilization
occur in the spring or summer (depending on geographical location—-spring in
the Chesapeake Bay) and self-fertilization is prevented by protandrous develop-
ment of stamens and pistils.  The fruits of eelgrass do not have any special
adaptation for dispersal.  Usually, the generative shoots become detached at the
time of fruiting and float to the surface where they are carried by currents.
Ripe fruits are shed as the shoots are carried along the surface.  However, it
may be that many of the seeds are released in the bed before the generative
shoots break off.
                                     33
 image: 








     Sexual reproduction is apparently controlled by temperature (Setchell
1929; McRoy 1966) though day length may be highly integrated into this activity
(Phillips 1974a_; Harrison and Mann 1975).  Setchell  (1929) proposed that flower-
ing occurred between 15 to 20 C although some authors have found flowers in
waters less than this temperature   (Phillips 1972,  1974a_ •  Harrison and Mann
1975).  Setchell (1929) and McRoy (1966) have noted  that in  one particular area,
eelgrass in shallow water, which warmed more rapidly and reached a slightly
higher temperature than a deeper area, flowered while that in a deeper area,
where temperatures remained cooler, never flowered.   In the  Chesapeake Bay,
eelgrass has been observed flowering in shallow water (<0.1  m MLW) almost one
month before reproductive structi/res were found in a adjacent deeper area
(1 m MLW) (Orth, personal observation).

     Germination of seeds is also related to temperature.   In the Chesapeake Bay,
seeds (sampled from monthly sediment samples taken in an  aelgrass bed) apparen-
ly germinate in the fall as temperature declines (Orth 1975^, 1976).  Reports
from more northern locations indicate some seed germination  in the fall with the
majority of the germination occurring the following  spring (Tutin 1938; Addy
1947a_, 1947b^; Arasaki 1950tr, Taylor 1957b^; Churchill, personal communication).
However, these studies failed to look at seeds from  sediment samples in the beds
and based their observations on visual sightings of  new leaves emerging from
the substrate.  Thus, germination may actually occur in the  fall.  However, if
temperature is a critical factor (e.g. 10 C) for germination  and seeds are not
released from the plant until temperatures are at or below this critical tempera-
ture, then  germination may occur in the spring, as  temperature begins to rise
to that critical temperature.  Phillips (1972) found that seed germination
occurred throughout the year but with the major occurrence between April and
July.   Setchell (1929), Tutin (1938) and Taylor (1957a_,b)  gave a complete des-
cription of embryo and seed development.

Distribution

     Historically, eelgrass has been the dominant submerged  aquatic vegetation
in the mesohaline and polyhaline regions of the Bay  and its  subestuaries.  During
the 1970s, eelgrass has experienced a dramatic decline in both the Virginia and
Maryland sections of the Chesapeake Bay.

     In Maryland, eelgrass has been found abundantly from Eastern Bay south to
Smith Island.   During the last six years there has  been a significant decline
of the Zostera beds in these areas, with most of the decline occurring between
1972 and 1973 (see Table 4, Figure 8).   The areas most affected by this decline
were Manokin River, Bloodsworth Island, Honga River, Big and Little Annemesex
Rivers, Pocomoke Sound and Smith Island.  There appeared to  be a minor decline
in these areas between 1975 and 1976.

     Zostera marina is the most widespread species of this genus.  It is dis-
tributed in both the northern Pacific and the northern Atlantic and is the only
seagrass extending into the Arctic Circle.  On the Pacific Coast of North America,
eelgrass extends from Grantly Harbor, Alaska (65°N;  McRoy 1968) to Agiahampo
Lagoon in the Gulf of California (26°N; Steinbeck and Picketts 1941).   On the
Atlantic Coast of North America, eelgrass extends from Hudson Bay, Canada, the
                                     34
 image: 








Table  4.  Percent of sampling stations showing occurrence of
Zostera marina, Maryland Chesapeake  Bay,  1971-19763

Area
Code
1

2
3

4
5
6

7

8
9
10

11
12

13
14
15

16

17

18
19
20
21

- 22

23

24
25

26


Number of
River system
Elk & Bohemia
Rivers
Sassafras River
Howell & Swan
Points
Eastern Bay
Choptank River
Little Choptank
River
James Island &
Honga River
Honga River
Bloodsworth Is.
Susquehanna
Flats
Fishing Bay
Nanticoke &
Wicomico Rivers
Manokin River
Patapsco River
Big & Little
Annemessex Rivers
Gunpowder & Bush
River Headwaters
Pocomoke Sound
(Maryland)
Magothy River
Severn River
Patuxent River
Back, Middle &
Gunpowder Rivers
Curtis & Cover
Points
South, West &
Rhode Rivers
Chester River
Love & Kent
Points
Smith Island
(Maryland)
Total
1971

0
0

0
4.26
5.00

5.26

41.18
26.67
20.00

0
4.00

0
33.33
0

60.00

0

18.18
0
0
2.00

0

0

0
0

0

29.41
10.26
1972

0
0

0
11.63
5.17

0

2.94
16.67
15.91

0
4.00

0
40.00
0

50.00

0

10.00
0
0
0

0

0

0
0

0

45.45
7.32
1973

0
0

0
0
0

a

0
0
2.17

0
0

0
13.33
0

15.00

0

4.76
0
0
0

0

0

0
0

0

0
1.11
1974

0
0

0
0
0

0

0
0
9.30

0
0

0
20.00
0

31.58

0

-
0
0
0

0

0

0
0

0

11.76
2.46
1975

0
0

0
2.17
0

0

0
3.45
6.98

0
0

0
7.14
-

27.28

-

15.00
-
-
0

0

0

0
0

0

16.67
3.07
1976

0
0

0
0
0

0

0
3.45
0

0
0

0
0
0

15.00

0

9.09
0
0
0

0

0

0
0

0

5.88
1.11
71

15
10

12
47
60

19

34
30
40

27
25

30
15
21

20

9

22
12
15
50

22

20

8
36

8

17
624
fi

16
10

6
43
58

19

34
30
44

37
25

30
15
20

20

8

20
12
15
47

22

19

10
36

8

11
615
73

16
10

12
47
57

19

34
30
46

37
25

30
15
21

20

7

21
12
15
50

22

19

10
34

8

12
629
stations
74

16
10

12
47
58

19

34
30
43

37
25

30
15
21

19

9

-
12
15
50

22

19

8
34

8

17
610
/b

16
10

12
46
57

19

34
29
43

36
24

30
14
-

18

-

20
-
-
47

22

6

8
36

8

17
553
76

16
10

12
45
56

19

34
29
45

35
25

30
15
21

20

9

22
12
13
49

22

21

8
35

8

17
628
         a
         U.S. Fish and Wildlife Service Migratory Bird and Habitat Research Laboratory, 1976
                             35
 image: 








 1975
                          IV
                          "  ^1
                             ^c
                           '(%li«
                             ^
                           1974
Figure 8.  Distribution of Zostera marina, Maryland Chesapeake Bay,

1971-1976
                        36
 image: 








southern tip of Greenland, and one locality in Iceland (to  at least  65*N; Ottam
1934b_; Ostenfeld 1918; Phillips 1974a_)  to Bogue Sound, North  Carolina  (35*N;
Dillon 1971).

     Eelgrass populations along the  East Coast suffered a  dramatic  decline  in
the early 1930s and this decline was attributed to a protozoan parasite,
Labyrinthula spp.  This decline had a significant effect on the invertebrates
and wildlife utilizing eelgrass beds as well  as significant effects  on bottom
sediments.  (Urner 1934; Renn 1934, 1935, 1937; Cottam 1935<n Stauffer 1937;
Tutin 1938; Dreyer and Castle 1941; Addy and Aylward 1944;  Dexter 1944, 1950,
1953; Milne and Milne 1951; Cottam and Munro 1954; Johnson  and Sparrow 1961;
Pokorny 1967; Burkholder and Doheny 1968).

     Fluctuations in eelgrass were recorded in several periods prior to the
1930s along the East Coast (1854, 1889, 1894, 1908, 1913, 1915, 1917,  1920 to
1922), but these periods are not as well documented as the  1930s decline
(Cottam 1934^, 1935bJ.   Many of these reports represent local changes but the
1894 decline appeared to be a more widespread phenomenon along the East Coast.

     In addition to its occurrence on the North American coasts, eelgrass is
present along the European coast from the White Sea (65°to  70°N) and Cheshskaya
Cuba in northern Russia to Spain, near Gibralter (Zenkevitch  1963; Hartog 1970).
It is rare in the Mediterranean, Adriatic and Aegean Seas but is common in the
Black Sea.  It has been reported from only one locality on  the North African
coast in Algeria (Hartog 1970).

     Along the East Asian coast, eelgrass is common in Japan  and Korea but
little is known about its distribution in China and the U.S.S.R. (Hartog  1970).

     Eelgrass populations along the European coasts also suffered a  dramatic
decline in the 1930s, again attributed to the protozoan Labyrinthula though
other causes were suspected (Cottam 1933a^, 1933t^; Blackburn 1934; Butcher 1935;
Atkins 1938; Wilson 1949; Rasmussen 1973, 1977).  Rasmussen (1973, 1977)  examin-
ed eelgrass fluctuations in the Isefjord area of Denmark from 1899 to 1968,  re-
lating temperature fluctuations to disappearance of eelgrass, and concluded  that
a combination of warm winters and warm summers were responsible for  past  periods
of decline.  Kikuchi (1974a_, 1974bJ found large portions of eelgrass meadows had
disappeared in the last 15 years in Japan.  These losses were attributed  to  land
filling, water pollution accompanying rapid industrialization of the coastal area
and increased turbidity also due to increased development and subsequent  runoff.
Hartog and Polderman (1975) examined changes in eelgrass populations in the
Dutch Waddenzee between 1869 and 1973.   They found considerable changes between
1869 and 1930, prior to the "wasting disease" destruction and regarded these
changes as normal long-term fluctuations within the large-scale pattern of the
dynamic equilibrium of the Waddenzee ecosystem.

     The 1930s wasting disease substantiantly reduced the sublittoral  populations
of eelgrass in the Waddenzee while littoral populations were  unaffected.  Coin-
cident with the wasting disease was the closure of the Ziderzee, an  inland sea
formerly in open connection with the Waddenzee.  The closure  caused  considerable
hydrological changes, resulting in erosion of substrates formerly occupied by
eelgrass.  This closure may have aided in the decline but more importantly,


                                      37
 image: 








prevented successful  recruitment in later years because of these new conditions.
Fluctuations occurred also between 1932 and 1965,  but since 1965 there has been
a general decline of eelgrass which was not considered  part of the normal fluc-
tuation (Hartog and Polderman 1975).  The exact cause for this  recent decline
had not been ascertained but it was strongly suggested by Hartog and Polderman
that increasing pollution was the major factor.

     There has been no reported recent decline of  eelgrass similar to that
found in the Chesapeake Bay, northward of the Bay  to Maine.  However, there
appear to be no programs specifically designed to   investigate    distribution of
eelgrass.  Several individuals working on eelgrass in Long Island Sound have not
noticed any decline (Churchill, personal  communication).

Environmental Factors Affecting Distribution

     Temperature.   Eelgrass is a perennial plant  and exhibits  distinct phases
of seasonal growth.  Setchell (1929) attributed these phases to changes in
ambient temperature and delineated five periods of activity governed by 5 C sea
water temperature intervals.  In the Chesapeake Bay, eelgrass has been observed
to grow slowly during the winter months (December  through February) as noted
by the growth of seedlings during this period (Orth, personal observation).

     Biebel and McRoy (1971) studied temperature responses of eelgrass in tide-
pools (short form) and subtidal areas (long form).  They showed that photo-
synthesis increased with temperature in the tidepool form up to 35 C but in the
subtidal form up to 30 C only.  Above these temperatures photosynthesis decreas-
ed sharply.  They also found that both forms withstood temperatures to -6 C but
died after exposure to -9 C.  Eelgrass has been found in good vegetative condi-
tion under Arctic ice (McRoy 1969) which gives some indication  of its tolerance
to cold conditions.

     Thus, it appears that the phenology of eelgrass at different geographical
localities may be determined by those climatic factors (mainly  temperature)
specific to that region.

     Salinity.   Eelgrass is a euryhaline species  and can tolerate salinities
rangino from 8 ppt to full strength sea water (Ostenfeld 1908;  Tutin 1938;
Martin"and Uhler 1939; Arasaki 1950a^, 1950bj Phillips 1974aJ.  In the York River
Virginia, eelgrass does not grow above Clay Bank where salinity does not fall
below 10 ppt (Orth 1971).

     Biebel and McRoy (1971) studied the salinity tolerance of  eelgrass in
Alaska and found plasmatic resistance in a range from distilled water up to
about 90 ppt.  In about 120 ppt, leaf pieces were completely dead within 24
hours.   Photosynthesis which had its maximum in normal seawater decreased to
nearly zero in distilled water and in about 60 ppt  salinity.

     Osterhaut (1917) found that eelgrass exposed to alternating fresh and
marine water responded differently to fresh water than plants only exposed to
marine water.  He proposed physiological  types of eelgrass, i.e., eelgrass
growing at different salinity regimes or exposure  to alternating salinities.
                                     38
 image: 








However, he found no difference between eel grass types when roots were exposed
to fresh water.  Roots of both types were killed after exposure for a few minutes.

     Substrate.  Eelgrass has been found growing on a wide variety of substrates
ranging from pure firm sand to pure soft mud (Phillips 1974aJ.  Within the
Chesapeake Bay, eelgrass has been found primarily on sandy substrates (sediments
with 70 percent sand or more)(Orth 1971, 1973, 1975a, 1975b, 1977b, in press)
though Orth (personal observation) has observed eelgrass growing in finer sedi-
ments.

     Light, Depth and Turbidity.   Eelgrass requires some minimum of sunlight to
be able to maintain its photosynthetic machinery.  Thus, its vertical distribu-
tion will be determined by light penetration, which in turn is affected by depth
and turbidity.

     Eelgrass has been found growing from about 2m above MLW to depths down to
30 m (Cottam and Munro 1954; Phillips 1974aJ.  The depth at which maximum growth
occurs will depend on the water clarity.  In many areas, for example in the
Chesapeake Bay, eelgrass does not occur intertidally.  In the Bay, eelgrass ap-
parently does not grow at depths greater than 2 m (MLW) (Marsh 1970; Orth and
Gordon 1975; Orth, personal observation).

     Several experiments have demonstrated the importance of light for growth
of eelgrass.  Burkholder and Doheny (1968) placed cages with nylon  screen shades
over eelgrass and found that a light levels of 20, 10 and 1.6 percent of daylight
in Long Island, eelgrass became stunted and eventually died while it flourished
in control areas.  They also examined photosynthetic rates and found that at
levels of 10 and 1.6 percent of incident daylight, the fixation of carbon was
reduced in eelgrass of 0.33 and 0.14 percent the value obtained in full daylight.
They suggested that 1 percent incident daylight may be the threshold for photo-
synthetic maintenance.  These rates are relative to this area and may not re-
present the absolute light requirements of eelgrass.

     Backman and Barilotti (1976) also found a direct relationship between
irradiance received by the plants and turion density.  In a simple, but elegant
experiment, they found that turion density decreased in shaded plots and that
flowering was apparently inhibited by low light intensity conditions.

     Epiphytic growth on blades of eelgrass can also limit the growth of eel-
grass by effectively reducing light available to eelgrass.  Sand-Jensen (1975,
1977) found that epiphytes reduced eelgrass photosynthesis by a maximum of up to
about 31 percent at optimum light conditions and ambient HC03" concentrations
in his study area.  The epiphytes reduced the photosynthetic rate of the leaves
by acting both as a barrier to carbon uptake and by reducing light intensity.

     Current Wind and Wave Action.   Because eelgrass grows in shallow water
environments, it is subject to the erosive activities of currents, wind and
wave action.  The presence of eelgrass in an area normally mitigates these effects
by baffling currents and wave action, thus preventing erosion and destabilization
of the bed  (Wilson 1949; Ginsburg and Lowenstam 1958).  The margins of many eel-
grass beds show more irregularities than the middle of the grass bed, especially
                                      39
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in exposed areas, indicating a greater intensity of erosional activity along
these edges (Hartog 1970; Orth and Gordon 1975).

     Along the bayside of the Delmarva Peninsula, Virginia, the presence of an
extensive offshore intertidal sand bar allows the development of eel grass beds
behind the bars, by reducing wave activity from offshore winds.  Intertidal
sand bars interspersed with eel grass between the bars are features typical of
some exposed areas in the Chesapeake Bay (Orth 1975b; Orth and Gordon 1975)
and the persistence of these sand bars is probably related to the hydrodynamics
and bottom topography of the region.  As with the offshore bar, the presence of
these smaller sand bars allows the growth of eelgrass by reduci'nq wave activity.

     Current itself apparently is important to the growth of ee'lgrass.  Phillips
(1974a_) found luxuriant eelgrass where currents reached speeds up to 3.5 knots.
Conover (1958, 1968) found similar results for eelgrass in Rhode Island and
Massachusetts.  He showed that gross and net production rates cou'ld be raised or
lowered by changing the recirculation velocity of the seawater in experimental
tanks.  Eelgrass attained peak biomass figures in current cpeeds of around one
knot with a sharp dropoff above this figure.  The connection between current
velocity and plant metabolic rates is believed to be a function of the rate of
transfer of required gaseous and dissolved nutrients from the water into the
organisms.

     Sedimentation.  As mentioned in the previous section, eelgrass has the
ability to trap and bind sediments, providing some stability to the bottom
substrate.  This trapping effect usually results in a slight elevation of the
eelgrass bed above the surrounding unvegetated bottom (Hartog 1979; Orth,
personal observation).  In some areas, movement of sand may be so great, e.g.
during periods of intense storm activity, as to actually cover the grass thereby
killing it.   Blois et al.(1971, cited in Hartog 1970) described this phenomena
to occur in one day.  However, they observed new rhizome growth in the sanded
area resulting in a new horizon of rhizomes.  In one Zostera bed they found seven
separate rhizome layers.  In one location in the Chesapeake Bay, Orth (personal
observation) found an edge of a sand bar migrating across an eelgrass bed.
Recently covered grass that was still green was observed 20 cm or more beneath
the surface of the sand.

     Some areas in the Bay have characteristic sand bars parallel to the shore
with slight depressions between the bars.  In some areas, these depressions are
inhabited by eelgrass and the trapping and binding properties of eelgrass are
evident here also (see Figure 9).  Sediments just inside the grass bed are
distinctly different from those immediately outside the bed and they <;jet pro-
gressively finer from the edge to the center of the bed.

     Susceptibility.  Because eelgrass lives in an aquatic environment,,, it is
subject to pollutants from both point and non-point sources.  Unfortunately,
there is very little information concerning the effects of various toxicants
on the growth and survival of eelgrass.

     Thomas (1967) and Thomas and Duffy (1968) tested the effect of nine dif-
ferent herbicides on the growth of eelgrass (see Table 5).  They found that
                                     41
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only dichlobenil   and 2,4-D  had any effect on eelgrass and further testing
showed 2,4-D to be extremely toxic.   Areas killed by 2,4-D ranged from 3.2 to
5.8 times the area treated because of current-born herbicide.

     Nutrient Response.  Nutrient cycles in eelgrass beds are  complex and the
problems associated with nutrient limitation, sites and rates  of uptake still
need further investigation.  Recent work has shown that eelgrass can absorb
phosphorus and nitrogen across the leaves and roots and transport it to other
parts of the pTant (McRoy and Barsdate 1970; McRoy et al. 1972; McRoy et al.
1973; Barsdate et al. 1974; Penhale 1976).  Eelgrass also serves as a "nutrient
pump", pumping phosphate and ammonia from the sediments through the plant and
releasing them into the water.  The flow of phosphorus can occur in the opposite
direction, but the net effect is to transport phosphorus from  the sediment to
the water, effectively increasing the concentration of these nutrients in the
water.

     This transport of nutrients is very important to epiphytic algae because
they apparently utilize carbon, nitrogen and phosphorus excreted by the plant
(Harlin 1971; McRoy and Goering 1974; Penhale 1976).  This would potentially
allow greater growths of algae on grass blades in nutrient poor water than
otherwise possible.

     Little work has been conducted with nutrient enrichment studies.  Raymont
(1947) and Marshall and Orr (1948) studied the effects of the  addition of fer-
tilizers (sodium nitrate and superphosphate) to sea lochs, primarly to study
the effects on algal primary productivity and resultant fish production.  They
noticed an increased abundance of eelgrass but no actual measurements were made
of this increase, nor were appropriate controls available (i.e. they did not
differentiate normal seasonal growth from growth presumably enhanced by fer-
tilizing).  Marshall and Orr suspected that eelgrass utilized  the added nutrients
before the phytoplankton.  Orth (in press) working in a more controlled experi-
ment off Hungers Creek, Delmarva Peninsula, found that the biomass, length and
number of vegetative turions of eelgrass increased significantly when commercial
fertilizer was added to sediments in an eelgrass bed (see Figure 10).  Fertili-
zers with N-P-K values of 5-10-10 and 10-10-10 were used.

     Eelgrass appears to be very effective in concentrating various elements
from the water (e.g. major elements such as carbon, nitrogen and phosphorus,
minor elements such as manganese, aluminum and iron, and trace elements such as
copper, cobalt and beryllium) including radioactive isotopes (McRoy 1970lb;
Barsdate et al. 1974).  The "accumulation of elements in eelgrass is proportional
to the abundance of an element in the water.  Thus, it would appear that any
increase in a major element would be reflected in eelgrass.

Productivity

     Table 6 summarizes the available information on productivity measurements
for eelgrass.  Data on standing stock (g/m2 dry weight) and productivity
(g C/m2/day) of eelgrass at different localities vary widely,  ranging 1 to 5157
and 0.04 to 8, respectively.  Turion density is also highly variable.  The ranges
found in Table 6 for those parameters probably correlate with  the diverse mor-
phology observed for eelgrass in environmentally different yet often geograph-
ically close areas.  Considerable attention is necessary when  comparing these

                                     43
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                       44
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studies;  some numbers represent samples  from seasonal  studies,  where  the  range
of values will be greater than those from studies  where samples  were only  col-
lected during the season of maximal  biomass.   Sampling  techniques  vary widely,
especially in productivity studies,  and make  it difficult to draw  distinct con-
clusions.

     Eelgrass is a temperate seagrass and has a distinct growing season. Maxi-
mal biomass of leaves is normally attained from June through August (Penhale
(1977  found this in March) while minimal biomass  is attained during January
and February.

Consumer Utilization

     Despite the abundance of eel grass along  the coast, there are  relatively
few animals that directly utilize the grass as a food course.   However, this
fact alone does not belie the importance  of eel grass as a habitat  and  nursery
for many forms of invertebrates and  vertebrates, both juveniles  and adults.
These organisms often undoubtedly serve as a  source  of  food  of species at  higher
trophic levels.

     The fauna and flora of eelgrass beds can be divided into several  cate-
gories:  the epibiota (animals and plants utilizing  the blades of  eelgrass as
a substrate), the infauna, (animals  found on  or in the  sediments)  and  the  motile
invertebrates and vertebrates.  Within this last group  there can be subgroups
such as permanent residents, seasonal residents, transients  which  utilize  a
wider area than the seagrass bed and occasional migrants.

     The epibiota and infauna represent a diverse  and complex assemblage which
includes micro- and macroalgae, protozoans, hydrozoans, anthozoans, turbellarians,
gastropods, isopods, amphipods, polychaetes,  oligochaetes, bivalves, decapods
and barnacles.  Many of these groups exhibit  distinct seasonal pulses  of abun-
dance depending on their individual  spawning  periods (Barnard 1970; Kikuchi  1968;
Kikuchi and Peres 1977; Lappalainen  1973; Lappalainen and Kangas 1975; Levinton
1977; Levinton and Bambach 1975; Marsh 1970,  1973, 1976; Nagle 1968; Orth  1971,
1973, 1975a_, 1975^, 1977a_,lb; Rasmussen 1973;  Thayer et al. 1975).

     The biotic community within grass beds is quite distinct from the commun-
ities in adjacent unvegetated areas.  Because of the lack of suitable  substratum,
there is usually very little epifauna in  bare sand or mud areas.  The  animals
are primarily using     blades as a substratum or in  the case of herbivorous
gastropods, grazing on the microalgae that grow on the  blades.  In experiments
where artifical grasses were used, an epifaunal community similar  to that  found
on the real seagrass developed on the artificial seagrass (Moulton 1971; Orth,
unpublished data).

     The infaunal community is also  quite distinct from adjacent unvegetated
areas.  There is a tremendous increase in numbers  of species and individuals  in
grass areas and this may be related  to increased sediment stability, micro-
habitat complexity of food supply (Kikuchi 1966; Williams and Thomas 1967;
Nilsson 1969; Adams and Angelovic 1970; Tenore 1975; Orth 1975^, 1977b/, Thayer
et al. 1975).  Orth (1975^, 19775.) working with infauna of Chesapeake  Bay  eel-
grass, found infauna to increase in  density and diversity from the edge of an


                                     46
 image: 








eelgrass bed to the center of the bed (see Figure 11) and also with increasing
size of the bed (see Figure 12).  He related this increase to the sediment
stability component of eelgrass and showed that decreasing the stability of
sediments experimentally (removing blades of grass by clipping, simulating wave
action) and naturally (cownose ray activity (Orth 1975-a)), decreased the density
and diversity of the infauna.

     The motile community is also diverse and quite distinct from surrounding
unvegetated areas (Orth and Heck, unpublished; Briggs and O'Conner 1971; Kikuchi
1974b).  Utilization of these grass areas by fish and invertebrates may be for
distinctly different reasons.   Hartfwick (1973) found that on the West Coast,
the herring (Clupea harengus pallasi) used eelgrass leaves to lay most of their
eggs.  Juveniles and adults of many species may utilize eelgrass for protection.
The blue crab (Callinectes sapidus) is found in greater abundance in eelgrass
both as juveniles and adults (Lippson 1970; Sulkin 1973, 1977; Orth and Heck,
unpublished).  Many species may use eelgrass beds primarily as a habitat and
feeding ground because of the abundance of food.  Barry (1974) found shrimp,
(Hippolyte californiensis) which inhabit eelgrass beds on the West Coast, were
able to recognize the leaves of eelgrass by discriminating it on the basis of
its form.

     One of the more complete studies of fish communities of eelgrass was done
by Adams (1976c[, 1976t^, 1976cJ.  He found the highest fish biomass when tempera-
ture and eelgrass biomass were maximal.  Further, food produced within the grass
bed could have accounted for approximately 56 percent by weight of the diet of
the fish community.  The high fish production was due to juveniles which had
higher growth efficiences than older fishes.  They accounted for 79 to 84 percent
of the total annual fish production.

     The only groups of animals that consume eelgrass directly are waterfowl and
sea turtles.  Cottam (1934bJ stated that eelgrass made up 80 percent of the
winter food of Sea Brant and that Canada Geese, Scaups, Redheads and Black ducks
consumed considerable quantities of eelgrass (Addy and Aylward 1944).

     Human consumption of eelgrass has been found among the Seri Indians in the
Gulf of California (Felger and Moser 1973).  They would harvest the seed and pre-
pare a gruel which is eaten with other food.   Felger and McRoy (1975) made bread
from the flour and found the bread "had a good flavor when fresh, and is somewhat
like rye bread."

     The importance of eelgrass as a habitat became more evident after its de-
cline in the early 1930s.  Stauffer (1937) reported a decline of 33 percent of
the characteristic species normally found in eelgrass after the demise.  There
were sharp declines in waterfowl populations.   Urner (1934) reported that
Canada Geese and Brant declined by 75 percent and 92 percent, respectively, in
New Jersey.  Similar declines for these species and other waterfowl were re-
ported from Europe (Bruijns and Tanis 1955; Ranwell and Downing 1959) and other
sections of the United States (Moffit and Cottam 1941).

     Another serious effect was on the bay scallop (Aequipecten irradians) popu-
lation on the Eastern Shore of Virginia.  The commercial fishery that amounted
to a harvest of over 14,000 kg/year in the late 1920s and early 1930s was reduced


                                     47
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aSee figure 9  for  station  locations
bOrth 1977b
Figure 11.   Fauna!  characteristics across a Zostera marina beda''D
                                48
 image: 








                NUMBER OF INDIVIDUALS
NUMBER OF SPECIES
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bOrth 19775


Figure 12.   Faunal  characteristics of a Zpstera marina beda?

                                 49
 image: 








to nothing by 1933 (see Table 7).   The species  still  has  not returned to this
area in marketable quantities.    The life cycle of the bay scallop depends  upon
the presence of eelgrass as a setting substrate for the post-veliger larvae
(Outsell 1930).  Without this substrate, the scallop population would decline
rapidly since it completes its  life cycle in two years.

     Table 7.   Harvested bay scallops (shucked meat), 1925-1975
     Year                 Harvested Meat                          Value
                           (Kilograms)                            (dollars)


     1925                    5,050                                74,272

     1929                   16,038                               207,883

     1930                   25,549                               147,564

     1931                   17,170                                78,990

     1932                    9,220                                80,090

     1933                        0                                     0

     1975                        0                                     0




Economic Uses and Problems

     Eelgrass was apparently utilized in the past for a variety of different
economic reasons.  Eelgrass had been used for fuel,  mattress  filling, packing,
upholstering, insulation, bedding for domestic animals, dike  construction and
fertilizer (Burkholder and Doheny 1968;  Cottam 1934tr, Phillips  1974a_).   Its use
today is probably much more limited because of the development  of alternative
synthetic substances.  However, eelgrass is still used by some  commercial fisher-
men in the Chesapeake Bay  for packing  soft shell crabs.   Eelgrass can perhaps
be best used today as an organic mulch  and compost for gardens.

     The most important use of eelgrass  today would  be as an  erosion control
barrier.  Eelgrass, because of its abilities to reduce current  and wave action
and bind sediments, could prove very effective as an alternative to bulkheading.
However, there have been no published attempts to establish eelgrass to stabi-
lize the shoreline.  One would first have to establish the cost-effectiven ^s of
planting eelgrass or establishing a bulkhead prior to any attempts to initiate
this activity.
                                     50
 image: 








     Some undesirable features of eel grass are hazards to small  boats, hindrances
to navigation and interference with water skiing and swimming.   On the Pacific
coast, eelgrass interfered with oyster harvesting and decreased  amount of useable
bottom for oyster culture.  Eelgrass was considered a nuisance  and measures were
tried to eradicate it (Thomas 1967; Thomas and Duffy 1968).

     Thus, today, there are very few direct uses of eelgrass.  However, the in-
direct benefits to man, by supplying a food source to commercially important
species as the blue crab and sport fishes such as speckled and  grey trout and
acting as a natural erosion control barrier, make this community very valuable
in the Bay.

Man's Impact on the Eelgrass Ecosystem

     Because eelgrass inhabits the shallows of the coast zone,  the increasing
use of this zone by man for industrial and recreational activities and the
coastal zone's susceptibility to point and non-point sources of pollution, make
this species extremely vulnerable to potential degradation.

     Several examples from the Chesapeake Bay will illustrate these points.
Figure 13 shows an area of the south shore of the lower York River, Virginia,
taken in 1953 and 1960.  The extent of the eelgrass bed is delineated in the
outlined area.  The construction of an oil refinery and oil-generated power
plant in the seven years between the two photographs resulted in the extensive
loss of eelgrass, most likely resulting from construction activities (i.e.
increasing water turbidity) along the shore line.  Today, there is no eelgrass
in front of the refinery or power plant.  The loss of eelgrass  was not natural
as eelgrass increased in area! extent directly across the river             during
this same period.  Recolonization of eelgrass after construction was finished
may have been prevented by alteration of sediments or perhaps the heated efflu-
ent from the power plant may have altered normal temperature patterns around
this area.

     Figure 14 shows an area of the Severn River, a tributary of the Mobjack
Bay, Virginia.  The light colored area surrounded by the darker band (eelgrass)
was the result of a dredging operation by a private individual  for fill material.
This operation eliminated 1.3 ha of eelgrass.  The speckled appearance of this
area is due to small patches of eelgrass and widgeongrass colonizing the area.

     Figure 15 shows a portion of an eelgrass bed in the Mobjack Bay, Virginia.
The light bands crossing the eelgrass bed are the result of intense boating
activity in the grass area.  This is not an atypical situation  as many eelgrass
beds in the lower Bay, especially those in shallower areas, exhibit this criss-
crossing pattern.

     Dredge and fill operations and spoil disposal pose a serious threat to
eelgrass survival.  These activities alone can destroy or reduce eelgrass abun-
dance but the resultant activity usually increases the turbidity of a region
and this too may cause a decrease in eelgrass abundance, either through silting
and smothering or a reduction in light intensity below that necessary for photo-
synthetic maintenance.
                                     51
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52
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 The light colored area in the middle of the eel grass bed was the result of
 dredging activities in this area for fill  material  for the adjacent marsh.

Figure 14.  Aerial photograph of an area in the Severn River, Virginia3

                                     53
 image: 








 Light colored streaks across the eelgrass  bed are  boat  tracks
Figure 15.
Virginia9
Aerial photograph of a portion of an eelgrass  bed in Mobjack Bay,
                                      54
 image: 








     The activities mentioned above in the Chesapeake Bay are  not unique to
this area.   The increasing demand for waterfront property with deep water piers
and recreational pressure in the shallows make it imperative for the development
of some management scheme for the protection of eel grass.

     Causes for the Decline of Eel grass in the Chesapeake Bay.  Eel grass in the
past has undergone major fluctutations in abundance,  the most  well-documented
being the one that occurred in the 1930s along the East Coast  of the U.S. and
the West Coast of Europe.  The cause for this decline was attributed to a pro-
tozoan, Labyrinthula (Renn 1934, 1935, 1937) though  many other causes were sug-
gested (e.g. salinity, climatical changes, pollution).  That Labyrinthula was
the sole cause for this decline has not been proven  conclusively and recent
papers (Rasmussen 1973, 1977) cite this as a secondary agent because Labyrinthula
has been found living on healthy eel grass instead of being only on  dead eel grass.

     More recently, temperature has been implicated  as the major factor for
causing changes in eelgrass abundance (McRoy 1966; Rasmussen 1973,  1977; Orth
1976).  Temperature is extremely important in regulating the growth, reproduc-
tion and senescense of eelgrass and it is not an unreasonable  assumption to
implicate temperature as a primary agent in the decline of eelgrass.

     Rasmussen (1973, 1977) examined patterns of abundance of eelgrass in Denmark
and correlated this with annual temperature patterns.  He attributed eelgrass
fluctuations to warm summers and exceptionally mild  winters.  He postulated that
high water temperature would weaken the plant, which  directly  affected metabolism
and  indrectly weakened the plant making it more susceptible to the ever-present
bacteria and protozoa.

     The first recently recorded decline of the major eelgrass beds in the Bay
occurred in the early fall, 1973, and another mass defoliation in the early fall
of 1975.  Some eelgrass areas, for example in Mobjack Bay, did not  decline dur-
ing 1973 but declined in 1975.  There were reports of declines of eelgrass in
1972 after Agnes but these were limited to the up-estuary limits of eelgrass.
It appears that the freshet produced by Agnes did not cause the decline unless
there was a delayed  reaction which did not appear until a year later.  This
appears unreasonable since eelgrass declined almost  14 months  after Agnes.

     The period of the early to mid 1970s was marked by a warming trend charac-
terized by warm winters (see Figure 16).   Because eelgrass is approaching its
southern limits in the Chesapeake Bay (North Carolina is the southern limit of
eelgrass on the East Coast) any shift in the critical temperature regime may
dramatically affect the growth cycle of eelgrass.  There is no documented evi-
dence from North Carolina to indicate recent changes  in abundance of eelgrass
aside from small areas.  However, Dillon (1971) found the almost complete die-
off of eelgrass in the late summer with subsequent regrowth from seedlings and
rhizomes.  Whether this phenomenon observed in North  Carolina is an  annual
occurrence is unknown, but this was similar to what had happended in the Bay,
except that in many areas, e.g. the York River and the Rappahannock River,
there has been very little regrowth.

     There have been no reports of eelgrass die-backs north of Chesapeake Bay
to Maine but there have been no extensive surveys of eelgrass  populations in


                                     55
 image: 








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 0


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 0
                                      SUMMER
         BOSTON, *&«$.
         NEW YORK  (ftotttf?)
                  , MO.
         SOLOMONS  ISLAND, MO,
         GLOUCESTER  POINT,  VA.
       '" |""l""l""l""l""l""l""l""l ""I""!""!""!""!""!
        1910   1920  1930   1940   1950   I960   1970   I960
     Figure  16.  Mean temperatures  for  coldest
     and warmest months at  various  East  Coast
     locations, 1906-1977
                         56
 image: 








these areas, as have been done in the Bay.    An examination of temperature
records for various locations along the East Coast (see Figure 16)  also indicate
a warming trend in the 1970s but with no apparent decline of eel grass.

     The temperature records for the East Coast showed a warm period (i.e. warm
winters) around 1932 (see Figure 16).  The winter of 1932 was unusual  because
the coldest month was March contrasted to January and February in other years.
This period was also preceded by a decade of stable cold winters.  If the hypo-
thesis that extreme temperature conditions stress the plants is correct, then
extreme variations in certain temperature patterns may account for the eel grass
decline in the 1930s.  However, the picture is confused by another warming period
in the early 1950s when, supposedly, eel grass was exhibiting an upswing in abun-
dance.  Eel grass was abundant in 1953 in the lower York River, Virginia, but it
is not known what preceded this period in terms of eel grass coverage.   Also
lacking are precise data as to rate of recovery and any seasonal  changes in
already existing beds during periods of recovery.

     Temperature may be the primary cause for the disappearance of eel grass but
the lack of controlled experiments over extended periods along with accurate
information of present status of existing eel grass, makes this only an hypothesis
for the disappearance of eel grass.


POTAMOGETON PECTINATUS

Biology

     General Morphology.  In its native setting, Potamogeton pectinatus, or
sago pondweed, is completely submerged and recognized by a characteristic fan!ike
spreading of leaves at the water's surface (see Figure 17).  P_. pectinatus
derives its name from the pectinate or closely inserted growth of its stems and
leaves.  The stems often develop up to 2 to 5 m in length and support linear-
filiform leaf blades 5 to 35 cm long.  Leaf tips are sharply pointed to gradually
tapered in young plants.  With increasing age, several types of leaf ends can
occur on the same plant (Mason 1969).

     Two morphological forms of reproductive structures include leafy outgrowths
or auxiliary tubers and slender peduncles.  The peduncles, ranging in length
from 50 to 25 cm, have spikes conspicuously interrupted by 2 to 6 whorls, with
the axis of the spike becoming lax at maturity (Mason 1969).  The starch con-
taining druplets of this species can be distinguished from other pondweeds by
the rounded apex of the trap door (Martin and Uhler 1939).  The rootstocks are
long and straight and often bear rhizoids or specialized turions or winter buds
rich in starch (Hotchkiss 1967; Sculthorpe 1967).

     There is a reduction series in the general anatomy of Potamogetonaceae
with P_. pectinatus illustrating the most simplistic and reduce form.  Unlike
other species, the stem of P_. pectinatus displays a homogeneous zone of phloem
surrounding the axial lacuna (Sculthorpe 1967).   In the roots the xylem is a
single central vessel with the five protoxylem elements absent at maturity
(Arbor 1920).
                                     57
 image: 








(copied from Hotchkiss  1967)

Figure 17.   Sago pondweed (fotamogeton  pectinatus)
                        58
 image: 








     Reproduction.  Potamogeton pectinatus reproduces both sexually and
asexually.  Sexual reproduction occurs through the production of monoecious
flowers arranged in a spike (Yeo 1965aJ.   In a series of studies on reproduc-
tion in an irrigation ditch in Huntley, Montana, Yeo (1965a)  determined that
pollination, fertilization and fruit development occur at the water/air inter-
face.  Pollen floats on the surface (Sculthorpe 1967) and after fertilization
a druplet is formed.  These seeds remain on the rachis of the inflorescence
until late fall or until they are removed by moving water (Yeo 1965a_).

     Vegetative reproduction occurs by two separate mechanisms to form propa-
gules.   Subterranean tubers develop from specialized tissue at the branch ends.
Occuring in chains of up to five tubers, these structures store large amounts of
starch and persist over winter to produce shoots the following spring.   A second
mode of vegetative reproduction occurs through the development of axillary tubers
which form in the fall from the ends of leaf shoots in the leaf axils.   Similar
to the subterranean tubers, these axillary structures occur singly or in pairs,
sink to the bottom and form new plants in the spring (Yeo 1965a).

     Based on single season experiments using different sized pools, Yeo (1965bJ
found that the number of tubers and seeds produced from plants grown from tubers
increased as pool sizes increased.  In the largest pool (about 23.6 m2), one sago
pondweed plant developed over 36,000 subterranean tubers, 800 axillary tubers
and 6,000 seeds within six months.  Yeo's experiments readily demonstrated the
rapidity with which sago pondweed can colonize a favorable habitat within a
short period of time.

Distribution

     Potamogeton pectinatus is reported in similar habitats all over the world.
Not only does the range of this perennial include fresh streams and ponds, but
also brackish coastal waters of the United States and portions of Canada.  It
has been observed in Russia, India, South Africa, Hungary, Pakistan, and East
Germany and exhibits a wide range in altitude from sea level  in England to about
5,000 m in Venezuela and Tibet (Klokov and Zimbalevskaya 1974; Misra 1972; Hill
et al.  1975; Andrikovics 1973; Ali 1973; Krausch 1976; Ascherson and Grabener
1907.

     Though most abundant in the northwestern states and the  Chesapeake Bay in
the United States (Martin and Uhler 1939), it is reported to  be a pest species
often encountered in the operation of irrigation systems in the west (Hodgson
and Otto 1963) and in water supply ditches in the cranberry bogs of Massachusetts
(Devlin 1973).

     The continuing survey of submerged aquatic vegetation that is being con-
ducted annually by MBHRL has documented P. pectinatus in the  Chesapeake from
1971 to 1977 with the exception of 1975 Tsee Table 8 and Figure 18).  Results
of the summer survey for 1977 are not available at this time  for the individual
species.  The 1972 sampling yielded the highest percentage of vegetated stations
despite the fact that sampling was conducted subsequent to Hurricane Agnes. MBHRL
survey crews found sago pondweed at 5.69 percent of the 615 stations sampled in
1972 from the Chester River south into Tangier Sound on the Eastern Shore and in
the Severn and Patapsco Rivers on the Western Shore.  In 1973, P_. pectinatus


                                     59
 image: 








Table  8.   Percent of sampling  stations  showing  occurrence of
Potamogeton pectinatus,  Maryland Chesapeake Bay,  1971-19763

Area
Code
1

2
3

4
5
6

7

8
9
10

11
12

13
14
15

16

17

18
19
20
21

22

23

24
25

26


Number
River system
Elk & Bohemia
Rivers
Sassafras River
Howe 11 & Swan
Points
Eastern Bay
Choptank River
Little Choptank
River
James Island *
Honga River
Honga River
Bloodsworth Is.
Susquehanna
Flats
Fishing Bay
Nantiocke &
Wicomico Rivers
Hanokin River
Patapsco River
Big & Little
Annemessex Rivers
Gunpowder & Bush
River Headwaters
Pocomoke Sound
(Maryland)
Magothy River
Severn River
Patuxent River
Back, Middle &
Gunpowder Rivers
Curtis & Cove
Points
South, West &
Rhode Rivers
Chester River
Love & Kent
Points
Smith Island
(Maryland)
Total
1971

0
0

0
0
1.67

5.26

0
0
2.50

0
0

0
0
0

5.00

0

0
16.67
0
0

0

0

0
5.56

0

0
1.28
1972

0
0

0
9.30
3.45

10.53

20.59
10.00
6.82

0
0

0
13.33
5.00

25.00

0

0
0
13.33
0

0

0

0
2.78

0

27.27
5.69
1973

0
0

0
6.38
7.02

0

0
3.33
6.52

0
0

0
0
0

5.00

0

0
8.33
13.33
0

0

0

0
5.88

0

8.33
2.86
1974

0
0

0
2.13
0

0

0
0
0

0
0

0
0
0

0

0

-
0
13.33
0

0

0

0
14.71

0

0
1.31
1975

0
0

0
0
0

0

0
0
0

0
0

0
0
0

0

-

0
-
-
0

0

0

0
0

0

0
0
1976

0
0

0
2.22
0

0

0
0
0

0
0

0
0
0

0

0

0
0
0
0

0

0

0
5.71

0

0
0.48
71

15
10

12
47
60

19

34
30
40

27
25

30
15
21

20

9

22
12
15
50

22

20

8
36

8

17
624
72

16
10

6
43
58

19

34
30
44

37
25

30
15
20

20

8

20
12
15
47

22

19

10
36

8

11
615
of
/3

16
10

12
47
57

19

34
30
46

37
25

30
15
21

20

7

21
12
15
50

22

19

10
34

8

12
629
stations
74

16
10

12
47
58

19

34
30
43

37
25

30
15
21

19

9

-
12
15
50

22

19

8
34

8

17
610
75

16
10

12
46
57

19

34
29
43

36
24

30
14
-

18

-

20
-
-
47

22

6

8
36

8

17
553
76

16
10

12
45
56

19

34
29
45

35
25

30
15
21

20

9

22
12
13
49

22

21

8
35

8

17
628
      U.S. Fish and Wildlife Service Migratory Bird and Habitat Research Laboratory, 1976
                             60
 image: 








   1971
   1973
   1975
1972
1974
1976
Figure 18.  Distribution  of Potamogeton pectinatus, Maryland  Chesapeake
Bay, 1971-1976
                                   61
 image: 








was found in the same general areas but at only 2.86 of the 629 stations sampled
In 1974 this species was found in only three river systems compared to 12 in
1972.  In 1975 no IP. pectinatus was found at any of the 553 stations sampled.
By 1976 only Eastern Bay and Chester River showed any sago pondweed.

Environmental Factors Affecting Distribution

     Temperature.  Temperature often determines the type of vegetation produced
and limits its distribution.  In English lakes, Pearsall (1920) reported that
growth of IP. pectinatus did not occur until mid-June (mean temperature 12.3 C)
even though maximum sunshine had persisted since May.  Yeo (1965b) stated that
_P. pectinatus propagules planted in water temperatures of 13 C did not germinate;
however, those planted later in the season when temperatures reached 15 to 18 C
did germinate.

     Salinity.   Teeter (1965) discussed work by Metcalf (1931) documenting sago
pondweed in North Dakota.   Through his own research, Teeter was not able to cor-
roborate Metcalf's high salinity tolerance level but did provide data relating
salinity to seed production, set and germination plus tuber growth and production.
In general, Teeter observed that growing, healthy plants could tolerate salinity
levels that killed mature plants which had slower growth rates.  Maximum seed
production, seed germination and vegetative growth occurred in freshwater.
Salinities of 8 to 9 ppt generally decreased growth and germination rates by 50
percent.  Salinity at 3 ppt stimulated tuber production and growth.

     Substrate.   According to Sculthorpe (1967), P. pectinatus is a "silt-
loving" species.  A study by Hannan (1967), concluded that plants (including
P_. pectinatus) in gravel and mud-gravel transition beds had shorter shoots than
plants growing in mud and silt-pebble beds.  The latter displayed continuous
growth and an increase in species number.  Rickett (1923) reported that
P_. pectinatus grew on both mud and sand bottoms.

     Light, Depth and Turbidity.   Bourn (1932), in studying Back Bay and
Currituck Sound, determined that JP. pectinatus required at least 3.5 percent
total sunlight for growth.  Much below 4.0 percent total solar energy, growth
declined rapidly.  Based on Bourn's field observations, it appeared that sub-
terranean tuber size and quantity decreased with decreasing light.  Shading of
P_.  pectinatus plants produced yellowed, sparse foliage, elongated nodes and
rigid unbranched stems.  Stem tips and terminal leaves protruded above the
water surface and wilted.

     Current, Hind and Wave Action.  Under conditions of strong winds and wave
action, P_. pectinatus can persist due to a lattice root structure (Hannan 1967).
This may have been instrumental in sago pondweed's persistence in the Chesapeake
Bay   through Hurricane Agnes in June 1972.  Even though the species has recent-
ly declined subsequent to the hurricane, the July 1972 sampling of the Bay by
MBHRL showed the highest percent of P_. pectinatus occurrence of the six-year
survey.
                                     62
 image: 








     Sedimentation.  Sago pondweed has long, narrow, vertical  leaves which do
not provide a good surface for settling particles or organisms.   This allows
for participate matter to settle and build up bottom sediments more conducive
to invasion by other macrophytes (Butcher 1933).

     Nutrient Response.  Sculthorpe (1967) listed P_. pectinatus  as capable of
tolerating river water polluted with sewage, other wastes and  high nutrient
levels that tend to limit other species.   Jones and Cullimore  (1973) correlated
a wide range of nutrient levels in Canadian lakes with the distribution of
vegetation.  In all cases studied, P_.  pectinatus  was a predominant species in
the lakes.   These studies were undertaken in late May and early June during a
time when nutrient levels were critical to the development of  young plants.  The
nutrient ranges supporting the largest populations of P_.  pectinatus included:

           Nitrates                                0.13 to 1.7 ppm
           TKN                                     1.14 to 1.8 ppm
           Total phosphate (dissolved)             0.6  to 1.7 ppm
           Total inorganic carbon                  28   to 42   ppm
           Total hardness (CaCo3)                  346  to 405 ppm
           Total organic carbon                    12   to 18   ppm
           Total phosphate (sediment)               0.03 to  2   ppm

     Susceptibility.  Heavy metals and herbicides are selectively toxic to
P_. pectinatus plants.  Analysis of plant ash contents have revealed that these
plants can concentrate high levels of vanadium (16,500 ppm) and lower levels of
cobalt and nickel (2.8 ppm and 12 ppm respectively) (Varenko and Chuiko 1971).
Plants exposed to 0.12 ppm copper in the form of  copper sulfate penthydrate
resulted in the development of proportionally shorter stems with yellowing of
plant tissue.  In the case of acute copper toxicity, the plant's outer surface
became brown and internodes were shorter giving the plant a rosette appearance
(Ryan and Riemer 1975).

     Selectively researched herbicides, commonly  used for the  control of
terrestrial weeds, have been reported by Yeo (1966) to be toxic to P_. pectinatus.
Experiments indicated that popularly used diquat  and paraquat  controlled the
growth of sago pondweed. Application rates of 250 ppb of diquat or paraquat
controlled plant growth for eight weeks.   A concentration of 125 ppb diquat con-
trolled plant growth in two reservoirs but was unsuccessful in two others.

     Experiments by Frank et al. (1963) found that Potamogeton spp. were satis-
factorily controlled by atrazine granules applied at 5 and 6 ppm  a.i..  Simazine
applied at 4.5 to 9 kg/ha controlled the growth of Potamogeton spp.

     Newbold (1975) indicated that P_.  pectinatus  was controlled in a pond for a
year by concentrations of 10, 20 or 40 mg/1 dichlobenil and chlorthiamid.  A
comparatively low concentration of 0.05 mg/1 terbutryne controlled growth for
one year.  A concentration of 2 ppm a.i.  silvex and 7 to 10 ppm a.i. sodium
arsenite have been recorded to cause the cessation of IP.  pectinatus growth
(Lawrence and Hollingsworth 1969).

     Experiments by Devlin et al. (1972)  and Devlin and Karczmarczyk (1975)
on the effects of napthalam and norflurazon on sago pondweed,  suggested that


                                     63
 image: 








factors such as increased light, mineral  deficiencies  and growth regulators
influenced the extent of herbicide damage.    P_,  pectinatus plants slightly
deficient in nitrogen and phosphorous took  up 45 percent more napthalam than
plants grown in a complete inorganic medium.   Plants deficient in calcium
accumulated 20 percent more napthalam, perhaps resulting from tissue breakdown
due to a limited supply of calcium.  Plants deficient  in both magnesium and
potassium took up decreased amounts of napthalam as compared to control plants.
More recently, Devlin (1973, 1974) showed that sago pondweed treated with
gibberilic acid,2,4-D and parachlorophenoxyacetic acid took up considerably
more napthalam than untreated plants.  An accelerated  rate of napthalam uptake
occurred with an increase in 2,4-D.

     Significant data was compiled by Frank and Hodgson (1964) on the absorption
of the herbicide Fenac by isolated organs of P_.  pectinatus.   Exposures to a
labelled Fenac solution indicated high herbicide activities in both leaves and
roots.

     Pathogens.  Pathogenic fungi and bacteria and a brackish-water hydroid are
frequently associaed with sago pondweed.   The brackish-water hydroid,
(Cordylophora lacustris) secretes a gelatinous substance and was found to
result in  mechanical injure (Bourn 1932).   The fungus Rhizoctonia solani is
often located between places of contact of  hydroid colonies and the plant stem.
Another fungal group, designated Pythium-3, has been determined to be the pri-
mary pathogen of P_. pectinatus in northern  Back Bay, Virginia.  Evidence showed
that increased salinities inhibited the growth of this fungus in lower Currituck
Sound, North Carolina (Lumsden et al. 1963).

Productivity

     Photosynthesis in hydrophytes is affected by the  form of carbon available
to plants (Steemann Nielson 1951).  Potamogeton pectinatus has been shown to be
able to assimilate HCOlj as an alternate carbon source  for photosynthesis (Martin
and Uhler 1939).   In alkaline calcareous water, £_. pectinatus often becomes
encrusted with carbon deposits known collectively as marl (Sculthorpe 1967).
These deposits result from the absorption and transfer of bicarbonate ions
through the leaves.

Consumer Utilization

     Potamogeton pectinatus is one of the more important waterfowl plant foods
on this continent.  It has been responsible for approximately 50 percent of the
total food provided by the genus Potamogeton (Martin and Uhler 1939).  The
starchy nutlets and tubers have been reputed to be an excellent food source for
ducks; rootstocks and stems are consumed to a lesser degree (Martin and Uhler
1939).  Extensive beds of sago pondweed are recorded to attract Canvasbacks and
Redheads to an area (Bergman 1973).  Observations of Whistling Swan feeding be-
havior indicate that this species also consumes sago pondweed.  In addition to
ducks and swans, the marsh birds, geese and shorebirds are P_. pectinatus feeders
Other wildlife such as muskrat, deer and beaver have been observed feeding on
P_. pectinatus  (Fassett 1960).  In addition to providing a source of food, this
plant provides a protective habitat for fish, oysters  and benthic creatures
(Fassett 1960).

                                     64
 image: 








     Linn et al.  (1972, 1975) tested the nutritional value of sago pondweed and
its effects on the digestive system of sheep.  Results indicated that aquatic
vegetation could be an adequate forage for ruminants if economic and palatability
problems could be overcome.


ZANNICHELLIA PALUSTRIS

Biology

     General Vegetative Morphology.  This distinctive species received its generic
epithet from Linnaeus in honor of the Venetian botanist G. Zannichelli.  Taxo-
nomically, this genus is sometimes given its own separate family, the
Zannichelliaceae.   However, according to Cronquist (1968), the Potomogetonaceae,
Ruppiaceae, Zannichelliaceae and Zosteraceae are probably very closely related
and they have often been treated as a single family.  Takhtajan (1969)  treats
the family separately but indicates that the Zannichelliaceae is very near the
Cymodoceaceae, a family with tropical true "marine" species (Good 1964).

     Vegetatively, Zannichellia has pseudo-whorled (closely spaced numbers of
subopposite leaves) filiform leaves up to 10 cm long and up to 1.0 mm wide.  Its
pseudo-whorled leaves enables it to be distinguished vegetatively from Ruppia
which is similar but has alternate leaves (see Figure 19).  The leaves have
accuminate tips and are often without any stomata in some races (Burgemeister
1968).  Internally the leaves have septate mesophyll and on each side of the mid-
vein have a single, large air-lacuna (Tomlinson and Posluszny 1976).  The shoots
can be up to 10 dm long and do not have a sharp distinction between erect parts
and the relatively undifferentiated subsurface rhizomatous portions.  The roots
arise from the lower nodes of the shoot in pairs and singly.

     Reproduction.  There is some discrepancy whether Zannichellia is a perennial
or annual.The most up-to-date morphological treatment (Tomlinson and Posluszny
1976) of the Zannichelliaceae indicates that Zannichellia is ephemeral  to
perennial.  In North Carolina, (Radford et al. 1960) it has been described as
perennial.  In the Chesapeake Bay, observations indicate extensive die back of
the entire shoot system by late summer, so it may be reproducing mostly by seed
(Stevenson, personal observation).

     Recent work on the floral development of Zannichellia has indicated that
Z_. palustris does not have true bisexual flowers in the axils of the sub-opposite
leaves as Campbells's (1897) comparative study of Najas and  Zannichellia in-
dicated.  Instead, Zannichellia "flowers" are best described as "fertile nodal
complexes" with three separate appendages (Posluszny and Sattler 1976).  The
first appendage is a membranous sheath which surrounds a second staminate and
a third pistillate appendage.  Both staminate and pistillate appendages branch
and have renewal growth apices.  Posluszny and Sattler stated that the pistillate
flower develops two carpels which are eventually covered by a membranous envelope.
Sometimes they found three carpels in their  sample material from the Saint
Lawrence River, while Fassett (1960) stated  that 2 to 5 pistillate flowers have
been observed.  Further variation in carpel  number (2 to 8) has been observed
in North Carolina by Radford et al. (1964).  The staminate flower always has a
single stamen; however, the number of microsporangia per stamen does vary
(Posluszny and Sattler 1976).

                                     65
 image: 








(copied from Hotchkiss 1967)
Figure 19.   Horned pondweed (Zannichel1ia palustris)
                        66
 image: 








     Since the staminate flower is only a couple of millimeters away from the
stigmatic surfaces of the carpels at maturity, it is possible that this species
reproduces by selfing.  The hyaline membranous cup around the base of the car-
pels may help in pollen capture.  Fruit development is very rapid.  In the
Chesapeake Bay, seeds are found very early in the year, almost as soon as veg-
etative shoot growth begins.  The fruit with its persistent horn-shaped style
gives this species the common name of horned pondweed.  Technically the fruit
is classified as an achene (i.e., a small one-sided indehiscent structure with
thin pericarp derived from a single carpel).  The body of the achene is up to
2 to 3 mm long while the style is another 1 to 2 mm.

     Seed germination of Zannichellia is much more rapid than most other sub-
merged aquatics which often germinate several years after seed set.  This species
has shown significant germination in the same year as the seed was set (Guppy
1897).  In Lake Titicaca, Tutin (1940) found Zannichellia fruiting and germin-
ating abundantly at the same time of the year.  The short life cycle of this
species may help account for its rapid colonizing ability.

Distribution

     Figure 20 and Table 9 show the distribution of Zannichellia in the Chesa-
peake Bay for the 1970s based on summer survey data from MBHRL.  In only two
years, 1972 and 1976, was Zannichellia found in abundance.   Distribution was
centered in the Choptank River and Eastern Bay areas.  In the years 1971, 1973,
1974 and 1975, survey teams found horned pondweed at one station or less.  Pre-
liminary reports by various researchers indicate that populations may have re-
turned to higher levels in 1977.  Confirmation from MBHRL is not available at
this time.   This distribution pattern is among the more erratic of all the
Chesapeake Bay submerged aquatic species.  To some extent,  this may be an arti-
fact of summer surveying.  Zannichellia populations seem to decline rapidly in
June and early July, so that late July and August surveys might not be adequate
to monitor this species.  However, Zannichellia does appear to be an ephemeral
pioneer species which does show considerable yearly fluctuations in occurrence
off Horn Point in the Choptank River (Stevenson, personal communication).
Fenwick (personal communication) has studied Zannichellia abundance in Eastern
Bay and has suggested that Zannichellia can be easily missed in beds of mixed
species.  After its early growing period, Zanni'chellia beds are often over run
by other morphologically similar species, (i.e. Ruppia).  Dense Ruppia beds
tend to hide the shorter Zanm'chellia plants.

     Historically in the Chesapeake Bay, this species seems tobea relative
"late comer" in the herbarium record.  The earliest reported specimen from a
Bay area herbarium dates from 1931 in the Cove  Point area  on the Western Shore.
After that, there have been relatively few records until the 1960s.  Most other
submerged aquatic species are documented in herbaria before the 1900s in the
Chesapeake Bay.  This may indicate that Zannichellia has been established re-
latively recently or at least was in relatively low frequencies in the Chesapeake
in the past.  However, paleopollen studies of Bay sediments would be necessary
to confirm or reject this hypothesis.

     Zanni'chelli'a palustris is remarkably cosmopolitan.  Clapham et al. (1952)
reported that it was a native of the British Isles and is locally common in


                                      67
 image: 








 1971
 1973
                                \
 1975
Figure 20.  Distribution of Zannichellia palustris, Maryland  Chesapeake
Bay, 1971-1976
                                 68
 image: 








Table  9.   Percent of  sampling  stations  showing occurrence of
Zanm'chell ia  palustris,  Maryland Chesapeake  Bay, 1971-1976 a

ftrea
Code
1

2
3

4
5
6

7

8
9
10
11
12

13
14
15

16

17

18
19
20
21

22

23

24
25

26


Number of stations
River System
Elk & Bohemia
Rivers
Sassafras River
Howell & Swarm
Points
Eastern Bay
Choptank River
Little Choptank
River
James Island &
Honga River
Honga River
Bloodsworth Is.
Susquehanna Flats
Fishing Bay
Nanticoke &
Wicomico Rivers
Manokin River
Patapsco River
Big & Little
Annemessex Rivers
Gunpowder & Bush
River Headwaters
Pocomoke Sound
(Maryland)
Hagothy River
Severn River
Patuxent River
Back, Middle &
Gunpowder Rivers
Curtis & Cover
Points
South, West &
Rhode Rivers
Chester River
Love & Kent
Points
Smith Island
(Maryland)
Total
1971

0
0

0
0
0

0

0
0
0
0
0

0
0
0

0

0

0
0
0
0

0

0

0
0

0

0
0
1972

0
0

0
13.95
17.24

5.26

0
0
0
0
0

0
0
0

0

0

0
0
0
0

0

0

0
0

0

0
2.76
1973

0
0

0
0
0

0

0
0
0
0
0

0
0
0

0

0

0
0
0
0

0

0

0
2,94

0

0
0.16
1974

0
0

0
0
0

0

0
0
0
0
0

0
0
0

0

0

-
0
6.67
0

0

0

0
0

0

0
0.16
1975

0
0

0
0
0

0

0
0
0
0
0

0
0
0

0

-

0
-
-
0

0

0

0
0

0

0
0
1976

0
0

0
20.00
14.29

0

2.94
3.45
0
0
0

0
0
0

0

0

0
0
7.69
0

0

0

0
5.71

0

0
3.50
71

15
10

12
47
60

19

34
30
40
27
25

3C
15
21

20

9

22
12
15
50

22

20

8
36

8

17
624
72 73

16 16
10 10

6 12
43 47
58 57

19 19

34 34
30 30
44 46
37 37
25 25

30 30
15 15
20 21

20 20

8 7

20 21
12 12
15 15
47 50

22 22

19 19

10 10
36 34

8 8

11 12
74

16
10

12
47
58

19

34
30
43
37
25

30
15
21

19

9

-
12
15
50

22

19

8
34

8

17
615629610
75

16
10

12
46
57

19

34
29
43
36
24

30
14
0

18

-

20
-
-
47

22

6

8
36

8

17
553
76

16
10

12
45
56

19

34
29
45
35
25

30
15
21

20

9

22
12
13
49

22

21

8
35

8

17
628
    U.S. Fish and Wildlife Service Migratory Bird and Habitat Research Laboratory, 1976.
                            69
 image: 








rivers, streams, ditches and brackish pools.   It is  also widespread throughout
Europe where Reese (1963) documented several  chromosome races.   The species is
also well distributed in the Old World.

     In North America, Porsild (1932) reported Zannichellia palustris within
the Artie Circle on the north coast of the Seward Penninsula in the Buckland
River delta region. Although this species has been documented in every state in
the continental United States (Fassett I960), it is  not a commonly occurring
submerged aquatic.  Deane (1910) reported that Zannichellia could be found only
occasionally in brackish marshes along the New England coast, but it rarely
occurred inland.  South of the Chesapeake Bay, this  species can be found in
abundance in the Currituck and Pamlico Sound  areas in North Carolina.  However,
in South Carolina and the southern Coastal Plain counties of North Carolina,
Zannichellia is relatively rare.

     In South America, this species has  been  found in Lake Titicaca located at
3,815 m in the Andes Mountains (Hutchinson 1975). The widespread occurrence
of this species even at such remote locations suggests excellent dispersal
mechanisms as well as a wide range of adaptability to varying climates and
altitudes.

Environmental Factors Affecting Distribution

     Temperature.  Comparatively little  information  is available from the litera-
ture on how physical environment and water quality parameters affect this species.
There are indications in the Chesapeake  Bay that this species may be sensitive
to high water temperatures.  As summer approaches and water temperatures in-
crease above 30 C, Zannichellia populations often begin to decline rapidly.
However, it is unclear whether this is a strict temperature effect or whether
other variables are involved.  Fenwick (personal communication) found healthy
Zannichellia growing in Eastern Neck (Eastern Bay area) tidal pools where the
temperature often exceeded 38 C.   Porsild (1932) indicated that this species
was found in hot springs in Kamchatka (USSR)  where water temperatures varied
from 25 to 30 C.  At the lower end of the temperature range is Lake Titicaca
where Tutin (1940) reported Zannichellia populations existed in a temperature
range from 10.5 to 14.8 C.

     Salinity.  Horned pondweed is able  to persist in fresh water, but there
seems to be a definite preference of this species for brackish areas or cal-
careous pools (Radford et al. 1964) and  hard water situations (Fassett 1960).
In the Chesapeake Bay this species has been found as far south as the mouth
of the Honga River.  Salinities seldom go beyond 20  ppt in this area so this
may be the maximum limit of salinity tolerance for Zannichellia in the Chesapeake
Bay.

     Sediments.  Zanm'chellia has a tendency to grow in clay to sandy sediments
in shallower water than other submerged aquatics in  the Chesapeake Bay.  This
is also the case in Lake Titicaca where Tutin found  Zannichellia in the shallow-
est situations whereas Potamogeton, Myriophyllum and El odea dominated the deep-
er waters.  This suggests that Zannichellia may need higher light intensities
than other submerged aquatics for optimal growth.  Correll et al. (1977) sub-
jected Zannichellia to 80 to 140 yE/m2/sec at the water surface (approximately


                                     70
 image: 








4 to 7 percent of the maximum noon summer sunlight)and obtained good growth.
Little else is available concerning the light requirements of this species.

     Current, Wind and Wave Action.  In the Chesapeake, Zannichellia grows in
shallow areas where up to one knot currents develop.  Sculthorpe (1967) mention-
ed that the adventitious roots of this species are spiral, tendril-like and  aid
in anchorage.  The rhizomes of this species are very slender and would other-
wise be easily  dislodged in strong currents without the adventitious root
system.  However, this adaptation is apparently not effective where wave action
is significant, since this species is never found on high energy shorelines.

     Zannichellia was one of the -few submerged aquatics that did well in the
Chesapeake Bay after Hurricane AGNES when much sediment was deposited on the
Bay bottom.  The adaptive strategy of this species in regard to sedimentation
seems to be toward rapid recolonization, rather than growing up through sedi-
ments which are being rapidly deposited.  No information is available on how
well this species does in regard to trapping sediments and reducing turbidity.
However, its filiform leaves and slender rhizomes are probably not as effective
in this regard as Myriophyllum and other species which grow in thick masses.

     In terms of water quality responses, Zannichellia may be associated with
increased nutrient loading.  In reviewing some of the work on central European
Lakes, Hutchinson (1975) indicated that Zannichellia was an important species
in eutrophic waters.  In mesotrophic locations, Najas displaced Zannichellia
as a codominant with narrow leaved Potamogeton species.  Zannichellia has been
found in recent surveys of Lake Mendota.  This lake has been undergoing rapid
eutrophication since the early 1900s.  Hutchinson (1975) cited early surveys of
Lake Mendota in 1912, 1922 and 1940 as having found no Zannichellia.  Recent
work by Lind and Cottam (1969) showed that Zannichellia appeared in the lake in
the shallowest emersed zone while Myriophyllum exalbescens formed monospecific
stands in deeper waters.  Since Zannichellia, as mentioned previously, has only
been widely established in the Chesapeake Bay since the 1960s, it is possible
that its spread may be an indicator of increased eutrophication of the Bay.
However, Zannichellia is not found in all eutrophic waters of the Chesapeake Bay.

Productivity

     The only productivity data available for Zannichellia comes from in situ
measurements in the Rhode River, a subestuary of the Chesapeake Bay.  Correll
et al. (1977) measured oxygen metabolism of plants placed in glass bottles at
depths of 20 and 40 cm below the surface.  At 20 cm net oxygen production was
calculated to be 462 mg 02/9 dry weight tissue while at 40 cm it was 298 mg, 02/g
dry weight tissue.  Net photosynthesis was 26.0 mg 02/hr/g dry weight at 20  cm
and 22.0 mg 02hr/g dry weight at 40 cm.  Respiration measured in dark bottles
was 6.3 mg 02/hr/g dry weight at 20 cm and 7.1 mg 02/hr/g dry weight at 40 cm.
Unfortunately, there is presently little comparative data for other submerged
aquatics using similar techniques.

Consumer Utilization

     Fassett (1960) reported that fruits and sometimes foliage of Zannichellia
are  good  for  waterfowl   in brackish pools.  Furthermore, it was rated by

                                     71
 image: 








Needham (1938) as a fair food producer for trout.    However, Ruppia, Vallisneria
and Potamogeton spp. are usually considered more important in nourishing fish
and wildlife species.

Economic Uses and Problems

     This species has not reached the epidemic proportion in terms of population
size as did Myriophyllum. Therefore, there are no  particular problems in the
Chesapeake Bay associated with its occurrence. Since it is a pioneer species,
it may be helpful in revegetating areas where it is  desirable to have submerged
aquatics.  Little use has been made of Zannichellia  for this purpose up to the
present time.


VALLISNERIA AMERICANA
Biology

     General Vegetative Morphology.   Often referred to as wild celery, tape grass
or eel-grass, Vallisneria americana  belongs to the Hydrocharitaceae family along
with El odea.  V_. americana, _V. asiatica and V^ aethiopica are thought by some
botanists to be geographic races of  V_.  spiral is (Sculthorpe 1967).   Fassett
(1960) used the name V_. americana and listed V_. spiral is as a synonym referenced
with Gray's Manual and Britton and Brown.   The name _V. americana will be used
for the purpose of this document.

     Vallisneria americana is a monocotolydon, with ribbon or strap-shaped trans-
lucent leaves, 3 to 10 mm wide and arranged in basal clusters at the ends of
creeping stems (Schuette and Alder 1927; Sculthorpe 1967; Radford et al. 1964;
Needham and Lloyd 1930) (see Figure  21).  Leaves may attain up to 1.8 m in length
with the height of the plant more or less  limtied by water depth (Schuette and
Alder 1927).

     Reproduction.  Vegetative propogation occurs primarily through the vigorous
growth of stolons or runners and through tubers (Sculthorpe 1967; Lamoureux 1957).
Sexual reproduction is more complex.  Pistillate flowers are borne  on peduncles
that elongate at anthesis until they reach the water surface.  Staminate flowers,
by comparison, are free-floating after having  broken away from the  plant base at
anthesis.  Once fertilization has occurred at  the water/air interface, the
pistillate peduncles coil downwards  and submerge the many seeded, berry-like
fruit (Sculthorpe 1967; Muenscher 1936).

Distribution

     Wild celery is considered to be a fresh water macrophyte occurring in the
tidal streams of the Atlantic Coastal Plain (Martin and Uhler 1939).

     The summer sampling conducted by MBHRL has documented V_. americana in the
Chesapeake Bay from 1971 through 1976.   Though the data is sparse (see Table 10
and Figure 22) species occurrence shows a  decline over the six year period.  In
1971, wild celery was well represented in  the  Susquehanna Flats.  By 1973, those
same stations were bare of wild celery and subsequent sampling has  not shown any


                                     72
 image: 








 (copied from Hotchkiss  1967)
Figure 21.  Wildcelery (Vallisneria americana)



                       73
 image: 








Table 10.  Percent of sampling stations  showing occurrence of
Vailisneria  americana, Maryland Chesapeake Bay, 1971-19763

Area
Code
1

2
3

4
5
6

7

8
9
10

11
12

13
14
15

16

17

18
19
20
21

22

23

24
25

26


Number of
River system
Elk & Bohemia
Rivers
Sassafras River
Howell & Swann
Points
Eastern Bay
Choptank River
Little Choptank
River
James Island &
Honga River
Honga River
Bloodsworth Is.
Susquehanna
Flats
Fishing Bay
Nanticoke &
Wicomico Rivers
Manokin River
Patapsco River
Big & Little
Annemessex Rivers
Gunpowder & Bush
River Headwaters
Pocomoke Sound
(Maryland)
Magothy River
Severn River
Patuxent River
Back, Middle &
Gunpowder Rivers
Curtis & Cove
Points
South, West &
Rhode Rivers
Chester River
Love & Kent
Points
Smith Island
(Maryland)
Total
1971

6.67
20.00

8.33
0
0

0

0
0
0

37.04
0

0
0
0

0

0

0
16.67
0
0

0

0

0
2.78

0

0
2.72
1972

0
0

0
0
0

0

0
0
0

2.70
0

0
0
0

0

0

0
0
0
0

0

0

0
0

0

0
0.16
1973

0
0

0
0
0

0

0
0
0

0
0

0
0
4.76

0

0

0
8.33
0
0

0

0

0
2.94

0

0
0.48
1974

0
0

0
0
0

0

0
0
0

0
0

0
0
9.52

0

0

0
0
0
0

4.55

0

0
5.88

0

0
0.82
1975

0
0

0
0
0

0

0
0
0

0
0

0
0
-

0

-

0
-
-
0

9.09

0

0
8.33

0

0
0.90
1976

0
0

0
0
0

0

0
0
0

0
0

0
0
9.52

0

0

0
8.33
0
0

0

0

0
2.86

0

0
0.64
71

15
10

12
47
60

19

34
30
40

27
25

30
15
21

20

9

22
12
15
50

22

20

8
36

8

17
624
72

16
10

6
43
58

19

34
30
44

37
25

30
15
20

20

8

20
12
15
47

22

19

10
36

8

11
615
/3

16
10

12
47
57

19

34
30
46

37
25

30
15
21

20

7

21
12
15
50

22

19

10
34

8

12
629
stations
74

16
10

12
47
58

19

34
30
43

37
25

30
15
21

19

9

0
12
15
50

22

19

8
34

8

17
610
/b

16
10

12
46
57

19

34
29
43

36
24

30
14
-

18

-

20
-
-
47

22

6

8
36

8

17
553
76

16
10

12
45
56

19

34
29
45

35
25

30
15
21

20

9

22
12
13
49

22

21

8
35

8

17
628
      a
      U.S. Fish and Wildlife Service Migratory Bird and Habitat Research Laboratory, 1976
                             74
 image: 








Figure 22.   Distribution of Vallisneria  americana,  Maryland  Chesapeake
Bay, 1971-1976                             ~

                                   75
 image: 








any return of the species.   Data for 1977 is not available at the present time
for individual species.

     A further study conducted by Bayley et al.  (in press) in the Susquehanna
Flats over the period 1958 to 1975 supports the  species  decline  noted in the
previous study.  A drastic decline in the Flats  was noted after  1971.  Prior to
1971, in the early and mid 1960s, Vallisneria seemed to  have been impacted by the
explosive growth of Myriophyllum spicatum.

Environmental Factors Effecting Distribution

     Temperature.  Laboratory tests (Wilkinson 1963) showed that Vallisneria
grew best within a temperature range of 33 to 36 C.  Arrested growth occurred
below 19 C; and above 50 C plants became limp and disintegrated.  Wild celery
has not been found to overwinter in green form (Lind and Cottam  1969).

     Salinity.  Bourn (1934) found that Vallisneria could not be successfully
maintained under laboratory conditions with a salinity concentration greater
than 4.2 ppt.  Growth was slightly stimulated by increasing concentrations of
saltwater up to 8 percent; however, this stimulation resulted in only a very
slight increase in dry weight when compared to fresh-water grown control plants.
Etiolation was noted in plants grown in upwards  of 6.6 ppt.

     Studies in Currituck Sound (Bureau of Sport Fisheries and Wildlife 1965)
concluded that wild celery plants were capable of tolerating higher salinities
when grown in a silt substrate rather than sand.  This possibly  was due to the
high cation exchange in silt soils that protected the root structure.  Sand
substrates were not found to have the same buffering capacity.

     Substrate.  Schuette and Alder (1927) found that V. americana grew equally
well in sandy soil and mud.  However, in Lake Mendota, Wisconsin, wild celery
was observed growing only on sandy substrate (Lind and Cottam 1969).  In experi-
ments utilizing different types of soils, Hutchinson (1975) found that
X- americana thrived best in a soil composed of:

                         6.50 percent organics

                         8.78 percent gravel

                        21.46 percent sand

                        47.90 percent silt

                        14.26 percent clay

     Light, Depth and Turbidity.   Vallisneria americana has been found to be
tolerant of muddy, roiled water (Steenis 1970).   Lake studies (Meyer et al. 1943)
demonstrated that V^. americana was able to maintain 25 percent of its surface
photosynthetic rate at a depth of 10 m where the prevailing light intensity was
0.5 percent of surface light on the clearest days.  In northern  Currituck Sound,
North Carolina, during the summer and fall, 1977, Vallisneria americana was
invariably found in shallow water (0.5 to 1.0 m) compared to MyriophyHum spicatum


                                      76
 image: 








which was dominant in the deeper areas (1.0 to 2.0 m).   This
suggests that VaTlisneria nay require higher light intensities for optimal
growth than other SAV species, specifically milfoil (Confer,  personal observa-
ti on).

     Current Velocity, Wind and Have Action.  Extensive damage to Vallisneria
can occur from severe natural wave turbulence and from the action of motorboat
propellers (Lamoureux 1957).

     Nutrient Responses.  In assessing the role of Vallisneria in nutrient
cycles, wild celery was found to remove more silica, phosphorus, iron, aluminum,
manganese, lime, potassium and sodium than Potamogeton spp. but less sulphur,
nitrogen and magnesium (Schuette and Alder 1927).

     Susceptibility.   Table 11 lists various chemical agents that have been
used experimentally to eradicate Val 1i sneri a americana.

     Table 11.   Effects of selected herbicides on Vallisneria americana3
        Herbicide
     Si 1 vex



     Diquat dibromide

     Diquat dichloride

     Paraquat dichloride

     2,4-D IOE

     2,4-D D, E

     Acrolein

     Endothall, DSS
    Application
        rate
   Central
    0.5 to 2  ppm
    5 to 30 ppm
    2 ppm

    0.25 ppm

    0.25 to 0.5 ppm

    0.25 to 0.5 ppm

16.5 to 27.5 kg/ha granules

    44 kg/ha granules

    2.55 ppm

    2 to 3 ppm
    None
  70 to 100%
 Satisfactory

  30 to 90%

  30 to 100%

  67 to 93%

Unsatisfactory

    None

   Killed

  Seasonal
      Lawrence and Hollingsworth 1969

Consumer Utilization

     All parts of the plant structure of V_. ameri cana are consumed by fish,
ducks, coots, geese, grebes, swans, waders, shore and game birds.  Wild celery
                                     77
 image: 








 further  serves  as  a  shade,  shelter and spawning medium for fish,   (Sculthorpe
 1967), Abundant aquatic  insect  life  has also been observed on and  about wild
 celery plants  (Fassett 1960;  Lamoureux 1957).

      An  infusion prepared from  Vallisneria  leaves has historically served  as
 an invigorating tonic  (Sculthorpe 1967).

 Economic Uses  a'nd  Problems

      Impoundments.   Use  has been m^ide of  Vallisneria americana  for waterfowl
 food  in  waterfowl  management  in the  southeast  (Ball 1965).However,  due to
 natural  plant  succession and  almost  certain invasion by pest plants in fresh
 or low saline  areas, beneficial results were found  to be temporary unless
 strenuous management practices  were  employed.


 ELODEA CANADENSIS

 Biology

      General Vegetative  Morphology.  El odea canadensis is a member of the
 Hydrocharitaceae family  and is  commonly referred to as waterweed  (U.S. Army
 Corps of Engineers 1974).   Endemic to North America and naturalized to many
"industrialized  nations of Europe and the  southern hemisphere, this species has
 long  been recognized as  an  aquatic weed with great  ability to colonize new
 environments and nutrient enriched waters  (Adams et al. 1971).  It is also known
 as both  Anacharis  and  Elodea  planchonii.  The  later name results  from the  tax-
 onomic classification  of a  rare hermaphroditic condition of Elodea canadensis.
 The term Anacharis is  an acceptable  name  which includes both dioecious and
 hermaphrodite  species.   Elodea  canadensis,  however, applies only  to the dioecious
 species  which  is characteristic of those  normal specimens found in North America
 (Weatherby 1932).

      Mason (1969)  characterized El odea as  having slender stems  and leaves  in
 threes with the lower  ones  opposite, ovate-oblong,  acute, whorled, crowded and
 overlapping near the tips (see  Figure 23).  The staminate flowers  are solitary,
 long-remaining  and attached by  a long peduncle, while the pistillate  flowers are
 solitary and sessile.  The  fruit is  linear  or  lanceolate-linear.   The plants are
 submersed with  branching stems  forming large masses near the bottom (Fassett
 I960).

      Fragments  of  Elodea have been known  to survive lengthy periods of exposure
 (Hutchinson 1975).   Introduction to  formerly uncolonized areas  has commonly lead
 to massive proliferation.   Evidence  suggests that ordinarily large populations
 that  develop after a region has been invaded are temporary and  may be expected
 to decline naturally without  apparent reason.  Portions that break off from the
 plant do not usually die, but regenerate  to form new plants.  Efficient produc-
 tion  of  a large number of vegetative propagules has allowed almost complete
 independence from  sexual reproduction   (Mitchell 1974).  These segments,  in-
 cluding  stem apices  and  small branches, are usually specialized asexual pro-
 pagules  that can overwinter (Yeo 1965bj.
                                      78
 image: 








(copied from Hotchkiss 1967)
Figure 23.   Common elodea (Elodea canadensls)
                     79
 image: 








     Reproduction.  El odea is rarely seen to reproduce sexually and the dominant
plants found are female.  It is believed that El odea in Europe consists of only
female plants.  Therefore, reproduction is predominantly asexual  resulting from
the fragmentation of parent plants,    Detached pieces form adventitious roots
and often become the "face" of new infestations.   Population declines are be-
lieved to result from a decline in viability but introduction to a new regions
often results in temporary proliferation (Mitchell  1974).

Distribution

     Prior to 1962, El odea canadensis was reported in the Susquehanna Flats;
the upper Eastern Shore; from the Middle River to the Rhode River on the
Western Shore; the upper Potomac River; and the Patuxent River.  The MBHRL
Maryland sampling program (see Table 12, Figure 24) has revealed that from 1971
to 1972 the range of Elodea increased.  In 1973, however, only two reports of
Elodea were documented:  Kent Island and the Choptank River.  Since 1974, El odea
appears to have increased, but not up to the level  of 1971.  Extensive studies
of the Susquehanna Flats (Bayley et al. in press) have revealed a population
decline since 1971.  Populations were found to be the greatest in the early and
late 1960s.   Growth is not considered to be abundant in the Chesapeake Bay as
a whole (U.S. Army Corps of Engineers 1974).

     Hutchinson (1975)  has described the historic occurrence of Elodea.  The
earliest well-documented case of an accidentally introduced species of an aquatic
plant becoming a major economic problem in North America concerns El odea
canadensis.  Found first in North America, it spread initially to Europe and
later to other parts of the Old World.  It was found in Ireland in 1836 through
three separate introductions.  It continued to spread throughout England, entered
France in 1850 and can  presently be found even in western Siberia.  There seems
to be a tendency toward rapid multiplication, spreading and choking of water
systems followed by a decline within five to seven years.   Hutchinson suggests
several reasons for this characteristic decline:  loss of vitality owing to lack
of sexual reproduction; a nutrient limitation sensitivity to ferrous iron, al-
though it seems unlikely that such a limitation would tend to result in variable
reduction and stabilization of the population; changes of the bottom sediments
involving changes in the availability of iron; possible cyclic nature; and per-
haps, biotic rather than physiochemical factors.

Environmental Factors Affecting Distribution

     Temperature and Salinity.  Water temperatures of 15 to 18 C are necessary
for successful growth (Yeo 1965bJ.  The salinity range is from fresh water to
brackish water of 10 ppt salinity (U.S. Army Corps of Engineers 1974).

     Substrate.   Hutchinson (1975) found that when Elodea plants were rooted
they grew much better than if suspended, especially when in calcareous waters.
Yeo (1965b) determined that Elodea preferred a soil to sand substrate, develop-
ing roots originating at the nodes.   Elodea has been found to be an important
member of the- deep water community in Poland and England.  Rooted in stream
sediment, Elodea did much better than many other plants (Hutchinson 1975).
                                     80
 image: 








Table  12.  Percent of sampling stations showing occurrence of
Elodea canadensis, Maryland  Chesapeake Bay,  1971-19763

Area
Code
1

2
3

4
5
6

7

8
9
10

11
12

13
14
15

16

17

18
19
20
21

22

23

24
25

26


Number of stations
River System
Elk & Bohemia
Rivers
Sassafras River
Howell & Swan
Points
Eastern Bay
Choptank River
Little Choptank
River
James Island &
Honga River
Honga Ri ver
Bloodsworth Is.
Susquehanna
Flats
Fishing Bay
Nanticoke &
Wicomico Rivers
Manokin River
Patapsco River
Big & Little
Annemessex Rivers
Gunpowder & Bush
River Headwaters
Pocomoke Sound
(Maryland)
Magothy River
Severn River
Patuxent River
Back, Middle &
Gunpowder River
Curtis & Cover
Points
South, West &
Rhode Rivers
Chester River
Love & Kent
Points
Smith Island
(Maryland)
Total
1971

0
0

0
0
6.67

0

0
0
0

33.33
0

0
0
0

0

0

0
0
0
0

0

0

0
16.67

0

0
3.04
1972

0
0

0
4.65
6.90

0

0
0
0

0
0

0
0
0

0

0

0
0
0
0

4.55

0

0
5.56

0

0
1.46
1973

0
0

0
2.13
1.75

0

0
0
0

0
0

0
0
0

0

0

0
0
0
0

0

0

0
0

0

0
0.32
1974

0
0

0
4.26
1.72

0

0
0
0

0
0

0
0
0

0

0

-
0
0
0

0

0

0
0

0

0
0.49
1975

0
0

0
0
0

0

0
0
0

0
0

0
0
-

0

-

0
-
-
0

0

0

0
5.56

0

0
0.36
1976

0
0

0
6.67
1.79

0

0
0
0

0
0

0
0
0

0

0

0
0
0
0

0

0

0
2.86

0

0
0.80
71

15
10

12
47
60

19

34
30
40

27
25

30
15
21

20

9

22
12
15
50

22

20

8
36

8

17
624
li

16
10

6
43
58

19

34
30
44

37
25

30
15
20

20

8

20
12
15
47

22

19

10
36

8

11
615
n

16
10

12
47
57

19

34
30
46

37
25

30
15
21

20

7

21
12
15
50

22

19

10
34

8

12
629
74

16
10

12
47
58

19

34
30
43

37
25

30
15
20

19

9

-
12
15
50

22

19

8
34

8

17
610
/b

16
10

12
46
57

19

34
29
43

36
24

30
14
-

18

-

20
-
-
47

22

6

8
36

8

17
553
/6

16
10

12
45
56

19

34
29
45

35
25

30
15
21

20

9

22
12
13
49

22

21

8
35

8

17
628
       U.S. Fish and Wildlife Service Migratory Bird and Habitat Research Laboratory, 1976
                           81
 image: 








                                 1972
                                 1974

Figure 24.  Distribution of Elodea canadensis,  Maryland  Chesapeake
Bay, 1971-1976
                                  82
 image: 








     Light, Depth and Salinity.   The maximum frequency of El odea occurrence has
been found at a depth of about 3.0 m and a lower limit of 7.5m [Hutchinson 1975).
Elodea does not appear to be sensitive to pressure increases.   These plants ex-
hibit rapid growth capable of quickly growing up through covering layers of silt.
According to McCombie and Wile (1971), Elodea occurred only at the upper end of
the transparency range between 2.7 and 5.8 m.  Near the surface the plants were
bushy in appearance while at greater depths the internodes were longer.

     If not too intense, excessive turbidity and stains are often remedied by
planting "mail-forming" species such as Elodea canadensis.  Mitchell (1974) found
plant cover dense in chalk streams.  In sparsely populated areas, growth consist-
ed of fibrous roots or matted stems.

     Current Hind and Wave Action.  Mitchell (1974, p. 92) stated "Stabilization
or diminuation of the water flow, control of the water-level  fluctuation and
ensured continuity of water supply are all factors which potentially promote
growth of certain aquatic plants such as E_. canadensis."  Mitchell also  claimed
that the above factors may have affected water turbidity and depth thus  altering
light quality such that growth of submerged plants was promoted.   Desirable
growth conditions for Elodea included slow current velocity and a silted bed.

     Nutrient Response.  Elodea tends to prefer high concentrations of nitrogen
and phosphorous.  Adams et al.  (1971) showed that in nutrient enriched waters
an increase in nitrogen concentration was observed and correlated with increases
in phosphorous, potassium, calcium, manganese, copper, boron,  and zinc levels
and tended to increase stem diameter.   Morphological  deviance was noted in
nutrient enriched areas; however, Elodea grew faster,  larger and  more luxuriantly
with increasing nutrient enrichment.  Ryan et al.  (1972) also found fertilization
or nutrient enrichment to enhance growth unless the growth of algae became com-
petitive.  However, vegetative pleomorphism was a consequence of  this increased
biomass.

     Elodea can tolerate a SO^2" range of 0 to 37 mg/1 ; pH of 7.0 to 8.8; and
alkalinity range as HC03~ of 43 to 363 mg/1.  The bicarbonate ion can be used
as a source of carbon in photosynthesis (Hutchinson 1975).

     Susceptibility.  Sutton et al. (1969) found treatment of Elodea with sima-
zine (80 percent wettable powder formulation) at concentrations of 0, 0.12, 0.50,
and 1.00 ppm resulted in a decrease in dissolved oxygen relative  to the  increase
in herbicide concentration.   Simazine has been found  to cause a  decrease in  photo-
synthesis and possibly some alteration in respiration.

     Way et al. (1970)applied paraquat in a  concentration of 0.5 mg/1 which re-
sulted in total elimination of Elodea.  Diquat in 10 mg/1 doses completely killed
Elodea shoots within six hours..  The effectiveness of  paraquat or diquat was
hindered by the presence of adsorptive organic or inorganic surfaces in  the water
due to the high affinity of the chemicals for adsorption.  These  chemicals were
most effective during tne period fo rapid growth in the summer because Elodea,
when dormant, was found to be more resistant to the effects of herbicides.

     A constant concentration of about 0.25 ppm copper in a stream has been found
to eliminate Elodea (Mclntosh 1974).  Control was termed satisfactory with 3 ppm
copper sulfate but the effect was temporary.

                                     83
 image: 








Productivity

     Owens et al, (1967) determined from data on the dry matter and organic
carbon contents of El odea that the average growth rate was 0,47 g organic
carbon/m2/day.   According to these values, Elodea had a 0.12 percent efficiency
of utilization of the shortwave solar radiation (3,000 to 30,000 A)that fell on
the lake surface,

Consumer Utilization
                              i
     Martin and Uhler (1939) considered Elodea canadensis to be of little value
to waterfowl, since it rarely produced seeds.  Consequently, they rated Elodea
as a "salad" course for captive or other grain-fed ducks.

     Elodea canadenis is generally unpalatable to aquatic insects.  Hutchinson
(1975) suggested that this may be due to chemical protection.  Hutchinson further
discussed work related to a possible suppression of phytoplankton by Elodea.
This could be due to an inhibitory substance produced by Elodea or possibly com-
petition for light and nutrients.

     There appears to be no inhibition of epiphytes by Elodea.  Epiphytes have
been found to grow abundantly between the teeth on the leaf margins and on the
upper leaf surfaces (Hutchinson 1975).  Bownik (1970) found diverse examples of
periphyton in association with Elodea. Ramsey (1974) found bacterial assocations
to increase seasonally and be more abundant on mature leaves.

Economic Problems and Uses

     Elodea canadensis is known as "waterweed" and well deserves its name.  It
characteristically invades a region and often chokes the water system with its
prolific   growth.  The grasscarp or white amur (Ctenopharygodon idella), native
to large rivers of southern China, has been considered one of the more promising
biological controls (Mitchell 1974).


CHARA. NITELLA AND TOLYPELLAS

Biology

     General Vegetative Morphology.  The three genera, Chara, Mi tell a and
Tplpellas are members of the single living Characeae family of the singlfe order
Charales.  Although the Charales differ widely from other algae, the order is
commonly grouped in the class Chlorophyceae (Fritsch 1965).  The Characeae are
commonly referred to as muskgrass or stoneworts.  The latter name derives from
the stony, brittle texture of the alga caused by lime deposits that are frequent-
ly found on the plant in highly calcareous waters (Reid 1961).

     Members of the Characeae are macroscopic submerged aquatics with upright
green stems divided into multicellular nodes (Hutchinson 1975) (see Figure 25
and 26).  All species exhibit a whorled arrangement of leaves arising from
special nodes (Fritsch 1965).   Rooted by branched rhizomes, species vary in
                                     84
 image: 








(copied from Hotchkiss 1967)
Figure 25.   Muskgrass (Chara sp.)
                     85
 image: 








(copied from Hotchkiss 1967)
Figure 26.  Nitella (Nftellas. sp,)
                       86
 image: 








size from 3 cm to 1.25 m tall.   Many species form structures called bulbils
(Hutchinson 1975).  Found on the rhizome,bulbils serve as anchors as well  as
reproductive structures.  Chara spp. are distinguished from the genera Nitella
and Tolypella mainly by the morphology of the apical  crown on the oogonium
(Hutchinson 1975).

     Reproduction.  Characeae have highly specialized reproductive organization
(Fritsch 1965).Sexual reproduction usually occurs in the summer and autumn,
the photoperiod determining the ripening of the antheridia and oogonia (Migula
1909 cited in Hutchinson 1975).  The germination of the oospores generally re-
quires from one to three months diapause in cold water (Proctor I960; Forsberg
1964, cited in Hutchinson 1975).  Both sex organs are usually borne on secondary
leaves, originating from the nodes, with the oogonium directly above the anther-
idium (Fritsch 1965).  Large numbers of motile sperm cells are produced by the
antheridia, fertilizing the oogonia through an opening at the top and producing
a resting spore (Schuette and Alder 1929aJ.

     Chara reproduces asexually from bulbils and protonemata that arise from
the oospore and later from stem nodes (Hutchinson 1975).   Hutchinson suggests
that asexual reproduction plays a major role in the species maintenance of the
Characeae.

Distribution

     The Characeae constitute a group of primarily freshwater macrophytes  that
forms a substantial  part of the world's submerged vegetation in lakes, ponds
and streams (Cook et al. 1974).  Chara species tend to inhabit hard or calcareous
waters and Nitella species generally inhabit soft or circumneutral water
(Hutchinson 1975).   Inland saline lakes and ponds may be dominated by the
Characeae (Ungar 1974).  Some species inhabit brackish waters but are not  found
in truly marine environments (Hutchinson 1975) with various species found  in
temperate and tropical regions of all the continents (Cook et al. 1974).

     Since 1971, MBHRL has conducted an annual summer sampling program for sub-
merged aquatics in the Maryland portion of the Chesapeake Bay.  Out of over 600
stations sampled each year, the survey has documented Characeae only in the
Susquehanna Flats and Magothy, Severn and Chester Rivers  (see Figure 27).   How-
ever, compared to Potamogeton spp. for example, Chara spp. showed a very low
rate of occurrence within the Maryland Bay portion.   Chapter 3 discusses  avail-
able historic data on the Characeae in the Chesapeake Bay.

Environmental Factors Affecting Distribution

     Temperature.  Temperature affects Characeae distribution through the  regula-
tion of oospore germination.  Maintenance at about 40 C for one to three months
was shown to be necessary to produce germination (Hutchinson 1975).  Various
species within the Characeae persist throughout the year in temperate climates
and can even be found as green plants well below the ice  layer (Flossner 1964,
cited in Hutchinson  1975).

     Salinity.  Though Characeae are predominantly freshwater inhabitants,
Dawson (1966) allocated about 13 percent of the known species to brackish  waters


                                     87
 image: 








Figure 27.
1971-1976
Distribution of Chara sp. ,  Maryland  Chesapeake  Bay,
                                  88
 image: 








of coastal lagoons, ponds, coves and inland salt lakes and springs.   Species
ranged in salinities up to 15 ppt with growth cessation and limited  survival  at
20 ppt.

     Substrate.  Most species of Characeae grow in silt or mud substrate though
a small number of species tend to grow in shallow water on sandy bottoms
(Hutchinson 1975).  Studies in the Soviet Union (Zenkevitch 1963)  uncovered
extensive Chareal growths on the shallow hydrogen sulfide silt soils of the
eastern coast of Russia.   Further abundant growths have been documented in the
bays and inlets of the Soviet Aral Sea, growing on black ooze which  smelled of
H2S.

     Some species require not more than a few millimeters of soft deposits over
bedrock to insure survival (Hutchinson 1975).

     Light, Depth and Turbidity.   The Characeae are capable of surviving in  low
light intensities, though none of the species are confined to such light inten-
sities in nature.   Chara and Nitella species have often been found  to grow
covered with calcium carbonate or mud deposits, respectively, which  provided  an
effective screen against solar radiation (Hutchinson 1975).

     Characeae species can be found inhabiting transparent water well  below the
limit of flowering plants.  The greatest established depth for Chara spp. was
in Lake Tahoe at 65.5 m with incident  radiation  slightly more than 2 percent
of that reaching the lake surface (Hutchinson 1975).

     The Charales are capable of existing with a small oxygen supply but require
pure water; they cannot tolerate turbid or contaminated  conditions  (Fritsch
1965).

     Current Wind and Wave Action.  Most of the Characeae are not conspicuous
littoral inhabitants, occupying instead    the deep waters in lakes  and some-
times running water (Hutchinson 1975).

     Nutrient Response.   Charophyceae are able to take up HC03" as  an alternate
carbon source to C02 (Hutchinson 1975).  Chara is known for its ability to
inhabit hard water.  This may be related to the generally higher availability
of HC03~ in hard water and the ability of Chara to use the bicarbonate ion.

     Anderson (1968) and Forsberg (1964, 1965), working with several different
species of Chara. determined that small excesses of phosphorus in the medium
inhibited growth.  Experiments resulted in plant reduction but not destruction..
Optimum development occurred within a range of 5 to 20 mg total P/m~3.

     As mentioned previously, Characeae can tolerate large amounts of free
H2S in bottom sediments.   The green parts, however, are not as tolerant as are
the rhizomes, surviving for two weeks or more at only about 10 percent the H2S
tolerance level of the rhizomes (Hutchinson 1975).

     Chara species have a high tolerance for photosynthetic CaC03 precipitates
(Hutchinson 1975).  Calcium is essential to Chara, though requirements vary for
different species (Fritsch 1965).


                                     89
 image: 








     Susceptibility.  Experiments using the herbicides simazine,  propazine  and
atrazine in whole ponds in Missouri (Walker 1964) determined varied toxicity
results for Chara vulgaris.  Propazine was the least effective herbicide, need-
ing a maximum application of 3.0 ppm (wettable powder) for only limited control.
Simazine and atrazine were slow to provide results.  Simazine was applied at
rates ranging from 0.5 to 10.0 ppm and 5.5 to 132 kg/ha.  Dry applications re-
sulted in zero control.  Wet applications resulted in increasing control with
increasing concentration of herbicide, the maximum control being achieved at
10.0 ppm.  Atrazine applications, corresponding to the simazine rates, resulted
in  zero control  of C_. vulgaris.  Applications of herbicides during cold, cloudy
weather periods indicated that such weather did not favor the efficacy of the
chemicals.  However, some limited growth inhibition did result from cold weather
applications.

     Experimental work performed in Great Britain (Newbold 1975) recorded the
effects of eight herbicides approved by the Pesticide Safety Precautions Scheme
for use in or near water.  Dichlobenil and chlorthiamid were found to be the
most effective, resulting in a 2-year kill of Chara spp.   Terbutryne resulted
in a one-year kill and diquat and paraquat resulted inan initial kill, but re-
vegetation occurred within the same year.   Applications of dalapon, dalapon-
paraquat and 2,4-D were not recommended for use and considered likely to be
inefficient.

Consumer Utilization

     The Characeae are of considerable economic value and have been used for
water purification, as food for farm stock and fish stock, as an agent in
settling silt and in the manufacture of polishes (Cook et al. 1974).  Many
species of ducks feed exclusively on Charophyceae while some species feed solely
on the bulbils (Hutchinson 1975).

     By forming often times vast bottom meadows, the Characeae provide habitat
for aquatic fauna plus support for many lesser epiphytes (Needham and Lloyd
1930).  According to Fassett (1960), Chara provides fair shelter and an excell-
ent source of fish food, especially for juvenile trout and large mouth and
small black bass.

     Martin and Uhler (1939) studied aquatic plant usage by game ducks in
various areas of the United States and Canada.  Based on volumetric percentage
of stomach materials, the study rated Characeae as having good to excellent
usage, the plants being consumed by many kinds of waterfowl, especially diving
ducks.  All parts of the plants were discovered in duck stomachs, especially
the oogonia and bulbils.

     Cottam (1939) studied the contents of gizzards and gullets from approxi-
mately 3,500 inland plant-feeding ducks in North America.  Along with the pond-
weed family, Chara spp. was included in the list of submerged aquatics having
greatest value to Nyroca  spp. and ruddy ducks.  The study revealed that the
ducks were utilizing all parts of the plants: seeds, rhizomes, leaves and
bilbils.
                                     90
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Economic Uses and Problems

     Impoundments^  Chara has been utilized in southeast U.S.  as  waterfowl  food
in shallow fresh water lakes and ponds (Ball  1965).   However,  beneficial  results
were found to be temporary unless extensive management procedures were used to
prevent natural plant succession and invasion of pest plants.

     Impacts to Mosquitoes.  Hutchinson (1975) cited experimental work performed
in numerous countries on the effects of Chara and Mi tell a on mosquitoes.   Ex-
perimental evidence implicated various Chara species as having possible larvici-
dal properties and egg laying inhibitors.   Hutchinson expressed the need  for
experimental determination of the possibility of using native  species of  Chara
and Nitella for mosquito control.


CERATOPHYLLUM DEMERSUM
Biology

     General Vegetative Morphology.   Known variously as hornwort or coontail,
Ceratophyllum demersum is a variable, cosmopolitan species of the family
Ceratophyllaceae.  Found primarily in the still  or slow moving waters of streams
and ponds, £. demersum is rootless (Steward et al. 1960; Fasset 1960).  Coontail
may form large masses that drift just below the  water surface (Mitchell  1974).
Capable of extreme reproductive growth, £. demersum was first recorded in a New
Zealand lake in 1963 and two years later caused  the closure of a power station
after large mats of coontail had completely blocked the turbine screens  (Chapman
et al. 1974).

     Hornwort is exceedingly variable in form and  foliage toothing.  In  general,
the leaves are divided into filiform or linear segments that are sparsely forked,
minutely denticulate with 9 to 10 leaves to a whorl (see Figure 28).  Stems are
densely branched, up to 3 m in length, slender and extremely fragile. Flowers
are generally small and monoecious,  with staminate flowers usuallyborne in pairs
on either side of a leaf axil and pistilate flowers solitary in leaf axial, both
usually found at different nodes (Mason 1969; Sculthorpe 1967).

     As one of the primary colonizers in aquatic ecosystems, £. demersum is in-
cluded by Mitchell (1974) among a group of macrophytes characterized by  the
following:

     •  capable of rapid vegetative  growth;

     •  able to regenerate from small vegetative portions;

     •  partially independent from structures of sexual reproduction;

     •  attains large areas of photosynthetic tissue through vegetative
        growth; and

     •  independent of water level fluctuations  and bottom substrate.
                                      91
 image: 








(copied from Hotchkiss 1967)
Figure 28.   Coontail  (CeratophyTlum denier sum)
                          92
 image: 








     Reproduction.  Ceratophyllum demersum reproduces mainly through vegetative
means.  Almost any fragment of stem bearing a lateral bud is capable of forming
a new plant,  Sexual reproduction occurs when the mature anther reaches the
surface, dehisces and releases microspores which sink down slowly to the female
flower (Sculthorpe  1967).  Fertilization produces a one-seeded nutlet which
needs to remain in the water in order to germinate.  Experiments by Muenscher
(1936) indicated that once seeds were dried, no germination would occur.


Distribution

     Ceratophyllum demersum is considered to be truly cosmopolitan exhibiting
remarkable latitude penetration.  Fossil records show hornwort to be well  re-
presented in Pliocene deposits at Castle Eden and Palsefield in Suffolk
(Sculthorpe 1967).  Worldwide, coontail frequents quiet, fresh water pools and
slow streams (Mason 1969).  Fragments of Ceratophyllurn are frequently transported
casually when caught in waterfowl feathers (Sculthorpe 1967).

     MBHRL Survey work from 1971 to 1976 has documented £. demersum as sparse
and limited primarily to the Susquehanna Flats, Magothy, Severn and Chester
Rivers (see Figure 29).  Chapter 3 includes available data by river system per-
taining to historic distribution of hornwort in the Maryland portion of the
Chesapeake Bay.

Environmental Factors Effecting Distribution

     Temperature.  Fruit maturation of C. demersum seems to require almost
tropical temperature conditions, thus limiting sexual reproduction mainly to
warm climates (Martin and Uhler 1939).  Wilkinson (1963) determined a critical
minimum temperature for vegetative growth of 20 C with optimum growth at 30 C.

     Salinity.  Ceratophyllum demersum is essentially a fresh water macrophyte
(Martin and Uhler 1939).  Salinity experiments (Bourn 1932) conducted under
favorable soil, C02, light and temperature conditions resulted in growth retar-
dation of Ceratophyllum with increasing concentrations of salinity.  Based on
percentage increase in dry weight, Ceratophyllum decreased in growth roughly
proportional to the increase in salinity.  However, plants appeared to develop
normally in salinities under 6.5 ppt.  Above 6.5 ppt, plants showed size red-
uction, spindly stems and curling leaves.  An endurance limit was established at
about 8 ppt.

     Substrate.  Hornwort often grows independently of substrate material.  Ac-
cording to experiments by Shannon (1953), Ceratophyllum showed no capability
for root production even when grown in wet sand or wet sphagnum.  However,
when C^. demersum plants were suspended over sand or mud, the plants grown over
mud produced a mean crop that was twice that produced over sand (Hutchinson 1975),

     Though available literature refers to Ceratophyllum as being rootless
(Sculthorpe 1967), there appears to be some question as to whether C_. demersum
is always rootless in the Cheapeake Bay.  Stotts (personal communication)  has
found hornwort in the Bay that has been rooted.  This may be due to the location
of the Bay in a temperature transition zone for Ceratophyllum.  The Bay has both


                                     93
 image: 








  1971
  1973
  1975
1972
1974
1976
Figure 29.  Distribution  of  Ceratophyllum demersum, Maryland Chesapeake
Bay, 1971-1976                                  ~~
                                   94
 image: 








sheltered areas with higher ambient temperatures possibly more conducive to  sexual
reproduction and more exposed areas with lower mean temperatures  where vegetative
growth could be favored (Confer, personal  communication).

     Light, Depth and Turbidity.  Coontail is shade tolerant (Lamoureux 1957)
requiring a minimum of 2 percent full  sunlight for optimum growth (Chapman  et  al.
1974).  Experiments conducted in an Ohio Lake (Meyer et al.  1943) concluded
that C_. demersum reached a compensation point of zero photosynthesis at less
2 percent full  sunlight intensity.   In Back Bay and Currituck Sound, C_. demersum
was found thriving in the dark brown water draining from the swamps (Bourn  1932).
Coontail is sufficiently shade tolerant to exist under floating leaved plants
(Lind and Cottam 1969).

     Ceratophyllum generally is not considered to be depth limited due to its
often rootless  nature.   Turbidity is not as negative a factor for coontail  as
for rooted aquatics due to shade tolerance and water surface habitat.

     Current Hind and Wave Action.   Ceratophyllum demersum is sensitive to
current,wind and wave action (Mitchell 1974).Any violent disturbance has  been
found to break  the fragile stems (Sculthorpe 1967).  However, this does not  re-
sult in mortality but instead acts  in dispersal and increased vegetative growth.

     Nutrient Response.  Ceratophyllum absorbs necessary nutrients from water
rather than soil media (Sculthorpe  1967).   Toetz (1973) suggested that for
Ceratophyllum,  dissolved NH^ input  from sediments, animal excretion, autolysis
and microbial decomposition might have been the ultimate limiting factor in
waters with an  immense biomass.  Table 13 lists several other elements found to
concentrate in  Ceratophyllum.

     Table 13.   Concentration factors for Ceratophyllum demersum9
                       Mean                Mean
     Element       concentration       concentration      Concentration
                       water             dry plant           factor
                      (mg/r1)          (ppm x 0.1)
     Cooper            .0160                3.23               202
                       .0083                1.52               183

     Zinc              .0090               16.40              1820

     Cadmium           .0015b               9.12b          600 to 700
     aHutchinson 1975

      Value in ppm
                                      95
 image: 








     Susceptibility.   Ceratophyllum has been shown to be highly resistant to
large concentrations of boron.   Boron is even stimulatory to photosynthesis
within a range of 0.5 to 100 mg/1.   Greater concentrations were found to affect
protein synthesis, water balance and nutrient assimilation   (Wetzel  1964).  In
normal water, arsenic has been  found to accumulate in C.  demersum up  to 26 ppm.
In geothermal waters in New Zealand coontail  has been recorded to contain 1,000
ppm arsenic as dry material (Hutchinson 1975).

     Attempts to eradicate Certophyl'lum demersum have been well documented.
Table 14 lists various herbicides  and related application rates and control
results.

     Various fauna are known to consume £.  demersum including Chinese grass carp
or white amur (Ctenopharyngodon idella).  The Brazilian snail (Marisa cornvarietis)
also consumes coontail; however, research into the use of these snails  for con-
trol of Ceratophyllum has shown that such action would probably disturb the
entire ecosystem (Chapman et al. 1974).

Productivity

     As has been previously mentioned, £. demersum is highly productive through
vegetative means.  Any fragment that includes a bud is capable of producing a
new plant.  Chapman et al. (1974)  found high photosynthesis rates in  these
apical buds plus in relatively  new leaves.   Stems and older leaves produced con-
siderably lower amounts of oxygen.

Consumer Utilization

     Ceratophyllum demersum is  not unanimously considered to be of great impor-
tance to wildlife.  Cottam (1939)  did not include coontail in his listing of
aquatic macrophytes having great value to Nyroca and ruddy ducks.  Lamoureux
(1957) rated Ceratophyllum as slightly important as duck food with seeds and
leaves eaten only occasionally.  Sculthorpe (1967), however, rated foliage and
seeds as having great food importance to ducks, coots, geese, grebes, swans,
waders, shore and game birds.  Ceratophyllum foliage has further moderate impor-
tance as fish food.  As a shade, shelter and spawning medium, Sculthorpe rated
coontail high.   The dissected  leaves of Ceratophyllum may support dense com-
munities of epiphytic desmids,  diatoms,     filamentous algae and zooplankton
which all provide food for fish.

     On a somewhat different note, preparations of leaves have historically
been used internally as purgatives and diuretics, for dysentery and as remedies
for bilousness and jaundice.  Topically, leaf extracts have been used to treat
anything from elephantiasis to  sunburn (Sculthorpe, 1967).
                                     96
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Table  14.   Effects of certain  herbicides on  Ceratophy11 urn demersum
       Herbicide
    Application rate
       Control
 Silvex, K salt

 Diquat dibromide

 Diquat
 Paraquat

 Ipazine

 Acrolein

 Endothall
 Endothall DOS
 2,4,-D

 Ametryne
 Sodium arsenite
 Simazine
 Atrazine
 1.5  to  2  ppm
 22  kg/ha  granules
 1  to 2.5  ppm
 5  to 10 ppm
 5  ppm
 1  to 2.5  ppm
 5  to 10 ppm
 1  to 2.5  ppm
 5  to 10 ppm
 1  to 2.5  ppm
 5  to 10 ppm
 1  ppm
 2  to 3  ppm
16.5 to  33 kg/ha  granules
 5  ppm granules
 1  to 5  ppm
 3  ppm
 33 kg/ha  granules
 4  to 5  ppm
 1  to 2  ppm
 7  to 10 ppm
 10 to 20  ppm  bottom granules
 5  to 6  ppm wettable powder
 6  ppm granules
 5  to 6  ppm wettable powder
 5  to 6  ppm granules
100%
100% initial  kill with regrowth
75 - 80% after  24 hours
89 - 100% after 24  hours
Satisfactory
50 - 65% after  24 hours
90 - 97% after  24 hours
0 - 5% after  24 hours
10% after 24  hours
79 - 95% after  24 hours
99 - 100% after 24  hours
Poor
For Season
None
Effective
Good
Good
Good
Good
90%
Killed within one week
Unsatisfactory
Erratic
Satisfactory
Erratic
Satisfactory
  Source:  Lawrence and Hollingsworth  1969.
                                         97
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NAJAS GUADALUPENSIS
Biology

     General Vegetative Morphology.   Najas guadalupensis is commonly referred
to as bushy pondweed (Radford et al.  1964) or water nymph (Schuette and Alder
1929b).  Physically resembling Zannichellia and Elodea,  Najas is  the single genus
of the Najadaceae family.   Members of the genus are either monoecious or dioecious,
annual or perennial and have slender  branched stems with simple,  linear, opposite
leaves that are often marginally toothed and have sheathed bases  (See Figure 30)
(Cook et al. 1974).

     Around the turn of the century there appears to have been a  rather heated
debate among several reknowned botanists regarding the primitive  or advanced
nature of Najas.  Rendle (1899, cited in Arbor 1920) maintained that Najas
was a primitive monocotyledon.  Guppy's "Differentiation Theory"  also
categorized Najas as a primitive species.  He maintained that N.  marina had
evolved into other distinct species within the same genus since N.  marina ex-
hibited a wider range than other species of Najas.  Arbor (1920)  disagreed with
both Rendle and Guppy, stating that the genus Najas was  a "highly reduced form
representing perhaps the ultimate term of reduction in the Potamogetonaceae
series."  Schuette and Alder (1929),  some years after the previous  controversy,
referred to Najas as appearing to be  a primitive monocotyledon.

     There appears to be further confusion in literature regarding  whether
Najas spp. are annual or perennial.   Radford et al. (1964) and Hutchinson (1975)
refer to the genus as annual.  Arbor  (1920), however, cites only  the species
N. minor and N. flexibis as being annuals.  Cook et al.  (1974) leaves the choice
open for individual species and simply lists the genus as either  annual or
perennial.  Information as to which group N. guadalupensis fits in  is not readily
available.

     Najas spp. do not have rhizomes  or tubers as do most other species of SAV
(U.S. Department of the Interior 1944).  Roots are simple and small with a
radicle that is either short-lived or undeveloped (Arbor 1920; Bourn 1932).

     Reproduction.  Najas  spp. appear to reproduce primarily sexually.  Pollina-
tion takes place underwater (Hutchinson 1975) as the globular or  elipsoid micro-
spores float up through the water and are caught on the  elongated stigmas
(Schulthorpe 1967).  The female flower consists of a single ovule that sometimes
is surrounded by one or two envelopes, evidently depending on the species
(Arbor 1920).

     Vegetative reproduction does not appear to be as common or successful as
sexual reproduction.  In discussing attempts to propagate Najas sp., the U.S.
Department of Interior (1944) suggested propagation by whole plants or seeds.
Vegetation by cuttings seemed to require a specimen with at least three nodes.

     Distribution.  Najas  is essentially a freshwater species that ranges in
habitat from Oregon to Quebec and from California to Florida (Hotchkiss 1967).
Martin and Uhler (1939) considered Najas guadalupensis as a fresh or mildly
brackish water species.


                                       98
 image: 








(redrawn after Hotchkiss 1967)
Figure 30.   Naiad (Najas  sp.)
                         99
 image: 








     Distribution of NL  guadalupensis in the Maryland portion of the Chesapeake
Bay presently appears to be limited to the Chester River (see Figure 31).
Historically, Najas was  once abundant on the Susquehanna Flats.   The Susquehanna
Flats Survey (1958 to 1975) documented Najas through 1971.    Then Najas suddenly
disappeared and neither  the Susquehanna Flats or MBHRL survey teams found  Najas
in the area until 1977 when the Flats survey teams documented N_. guadalupensis
as "rare" (Stotts, personal communication).

Environmental Factors Affecting Distribution

     Salinity.  According to Steenis'(1970), Najas prefers  a salinity of 3 ppt.
Haller et al.  (1974) concluded from experiments that N^. guadalupensis died
after four weeks at 10 ppt.  Growth experiments based on g/dry weight measure-
ments resulted in maximum growth at 0.17 ppt with decreasing growth in increasing
salinities.  Martin and  Uhler (1939) found N_. guadalupens in the Potomac River
growing in salinities from about 6 to 9 ppt.

     Substrate.  U.S. Department of Interior (1944) and Martin and Uhler (1939)
agreed that Najas thrived best in soils containing a predominance of sand  though
the species has been found growing on almost pure muck.  USDI added that firmer
substrates appeared to be preferred.

     Light. Depth and Turbidity.  U.S. Department of Interior (1944) stated
that Najas sp. required  less light than most other species  of SAV.  Martin
a-nd Uhler (1939) added that Najas sp. was usually found in  depths ranging  from
0.3 to 1.2 m but could be found locally at depths over 6 m.  Seed germination
appears to be affected by light intensity.  Hutchinson (1975) described germina-
tion of NL marina and N_. flexilis as being inhibited by light.

     Nutrient Responses.  Najas guadalupensis growth does not appear to be re-
la ted^tb^eltheTliiltrogFn or phosphorous levels (Peltier and Welch 1969).

     Currents and Wave Action.  Martin and Uhler (1939) found N_. guadalupensis
growing in  areas with retarded currents but only if sedimentation was not
extreme.

     Susceptibility.  The destruction of aquatic vegetation in Back Bay/Currituck
Sound around 1929 provided a situation for the study of environmental factors
affecting SAV growth.  Najas sp. was found to be intolerant of extreme turbidity
and varying salinity (Martin and Uhler 1939).  It was also  concluded that
negative impacts to Najas occurred due to the brackish water hydroid Cordylophora
lacustris and the fungus Rhizoctom'a sol am'  (Martin and Uhler 1939).   Crawfish
Cambarus rusticus) was found tocontrol Najas sp. in the lower Ohio River and its
tributaries (Martin and Uhler 1939).  Smothering by benthic algae was also found
to be a successful method of control (Sculthorpel967).  Mitchell (1974) listed
the marisa snail (Schistosoma mansoni) as providing seasonal control.   Grass
carp feed on young Najas stems and leaves along with Potamogeton sp. and El odea
sp. though established,  mature growth was not controlled.  In discussing the
grass carp (Ctenopharyngodon  idell us), the Avauet (1965) concluded that the carp
could effect complete control of j\L guadalupensis after two to three weeks in
experimental plastic pools.  Seaman and Porterfield (1964)  found complete control
of IN. guadalupensis by the fresh water snail Marisa cornuarietis.


                                        100
 image: 








1971
1973
1975
                               \
                               \
   Figure 31.
   1971-1976
Distribution of Najjy^sp,, Maryland Chesapeake Bay,
                                      101
 image: 








     Since Najas spp.  have been considered pest species  in the past,  they have
been used extensively in herbicide control experiments.   Table 15 lists  some
of the herbicides that are discussed in Chater 4 and their effects on Najas sp.

Productivity

     Literature has little to reveal concerning the productivity of Najas sp.
Wetzel (1975) cited the work of Hough (1974)  who studied photorespiration and
dark respiration.  Hough found a 10-fold increase in respiration during  the
fall compared to the summer.

Utilization

     Martin and Uhler (1939) rated N. guadalupensis as excellent in food value
for waterfowl.   Birds were found to eat both  the seeds and the leafy plant
parts.  Many species of Najas provide food for Tilapia melanopleura.  an  econo-
mically valuable fish species (Cook et al.  1974).   Shuette and Alder (1929b_)
firmly stated that Najas spp. were of no economic importance.   Several years
later, USDA (1939) recommended the use of N_.  guadalupensis in  the establishment
of permanent waterfowl impoundments.

     N. guadalupensis appears to be high in crude protein and  low in dry weight
yield (Mitchell 1974).  Comparisons of crude  protein content in Najas guadalupensis
and young alfalfa hay determined that Najas contained 22 percent dry weight as
protein compared to 19 percent for alfalfa.  Najas  would appear to be a  potential
valuable protein source except for its low dry weight yield.  Mitchell (1974)
lists Najas as yielding the lowest dry weight of 18 species of emergent, ter-
restrial and submerged plants.  Typha latifolia ranked highest with 15.3 t/ha
dry weight while N_. guadalupensis yielded only 1.1  t/ha dry weight.
                                        102
 image: 








Table 15.   Herbicide control of Najas sp.
Herbicide
Diquat
1st year
+ paraquat 2nd year
Diquat
(4 week exposure)
Diquat
(16 weeks after exposure)
Paraquat
1st year
+ paraquat 2nd year
Paraquat
(16 weeks after exposure)
Paraquat
(4 week exposure)
Fenac
1st year
2nd year
Diquat
1st year
+ paraquat 2nd year
Simazine
1st year
2nd year
Diquat and Simazine
1st year
+ paraquat 2nd year
Endothal
Linuron
1st year
2nd year
Paraquat and Linuron
1st year
2nd year
Appl icati on
rate
2.75 kg/ha
1.1 kg/ha
1 ppm
5 ppm
10 ppm
1 ppm
2.75 kg/ha
1.1 kg/ha
1 ppm
1 ppm
5 ppm
10 ppm
11.0 kg/ha
none
0.66 kg/ha
11.0 kg/ha
11.0 kg/ha
none
0.66 kg/ha
11.0 kg/ha
1.1 kg/ha
1 ppm
5 ppm
10 ppm
11.0 kg/ha
none
0.1 kg/ha
5.5 kg/ha
none
Control
complete
complete
98%
100%
100%
85%
complete
complete
90%
87%
100%
100%
complete
complete
complete
complete
complete
complete
complete
complete
complete
99%
100%
100%
complete
complete
complete
complete
compl ete
Source
Lawrence 1965
Lawrence 1965
Blackburn 1963
Blackburn 1963
Blackburn and Wei don
Blackburn and Weldon
Lawrence 1965
Lawrence 1965
Blackburn and Weldon
Blackburn 1963
Blackburn 1963
Blackburn 1963
Lawrence 1965
Lawrence 1965
Lawrence 1965
Lawrence 1965
Lawrence 1965
Lawrence 1965
Lawrence 1965
Lawrence 1965
Lawrence 1965
Blackburn 1963
Blackburn 1963
Blackburn 1963
Lawrence 1965
Lawrence 1965
Lawrence 1965
Lawrence 1965
Lawrence 1965


1964
1964

1064








                                    103
 image: 








                                  CHAPTER 2

                  THE ROLE OF SUBMERGED AQUATIC VEGETATION
INTRODUCTION
     Submerged aquatic vegetation is  an integral  part of an  estuarine  system
such as the Chesapeake Bay.   Submerged macrophytes  constitute  the  principal
food source for waterfowl  and some fish;  they provide, direct  or  indirect,
food and shelter for many of the small  host organisms that are eaten  by fish
and other predators;  the spawning activities of  certain organisms require
them; they purify the water of such noxious substances as carbonic acid and
return oxygen; they shade the underlying  waters and sediments  from solar
heating; reduce turbidity by precipitating fine sediments; and provide an
important source of detritus.  The assimilation of  inorganic substances into
organic compounds usable by organisms enhances the  importance  of  these plants
as a vital link in the food chain.  Functioning as  prime areas for hiding and
breeding, this vegetation group provides  surfaces for attachment  of eggs.
Also, an abundance of animal life, including insects, crustacean,  molluscan,
fish and others find excellent feeding grounds on SAV (Baker 1916).

     Submerged macrophytes help stabilize sediments and reduce shoreline
erosion.  Bays with benthic flora have been shown to have relatively stable
metabolism with less fluctuation in comparison to plankton dominated bays
(Odum and Hoskin 1958).  SAV further functions in the estuarine nutrient cycle
as a nutrient trap for dissolved phosphorus and nitrogen (Clark et al. 1973).

     Though not presently utilized for such purposes in the  Chesapeake Bay
area, aquatic plants serve as livestock food, human food, soil additives, fuel
and wastewater treatment in various other parts of  the world.   Primary
utilization in the Chesapeake Bay area is for wildlife conservation.

WATERFOWL

     The Chesapeake Bay is an important waterfowl feeding area used by migrating
and wintering birds.  Migration patterns can be classified according to
particular flyways and specific migration routes  (Bellrose 1976).   Distinguish-
ing a Flyway is a useful tool for interpreting waterfowl population trends
since migratory birds show greater affinity to a  particular  Flyway than to  the
country as a whole.  Flyways cover extensive areas  and show  population movement
from the general north-south direction.  Migration  routes, however, are more
clearly defined since they are 16 km wide at most and birds  are directed to
river valleys, lakes and sea coasts that are in sight.


                                      104
 image: 








     The two most important migration paths pertinent to the Bay are the
eastern route, primarily through Quebec, and the route from the central  and
northwest Canadian interior breeding grounds (Lincoln 1953; Bellrose 1976).
Some Greater Snow Geese and American Brant, originating as far north as  the
eastern Artie islands and Greenland coast, partly follow coastal routes  to Mid-
Atlantic bays and sounds.  A more interior route directs Black Ducks and
Canada Geese from northern points of Quebec and Ontario.

     Most diving ducks of the genus Aythya and a large portion of the dabbling
ducks are produced in the north central  part of the continent and migrate
southward through the Great Lakes region (Bellrose 1976).   Thus, a northwest
to southeast route is pursued by Canvasback, Redhead, and Greater and Lesser
Scaup wintering in Chesapeake Bay, Back Bay and other Mid-Atlantic coastal
waters.

     For the purpose of this report, waterfowl species inhabiting the Bay area
are arranged into genera and represented by nomenclature used by Bellrose (1976)
(see Table 16).

     A review of literature (Stewart and Manning 1958; Addy 1953; Longwell and
Stotts 1958; Stotts 1955; Henny and Holgersen 1974) indicates various waterfowl
species in Chesapeake Bay are undergoing changes in distribution, population
size and feeding habits.  Data sources monitoring such changes include aerial
population counts and gullet and gizzard food content analyses.  Observations
of banded birds are an additional information source used to trace harvest
patterns, mortality, migration corridors and breeding ground derivations.
Whistling Swan patterns also have been studied by using collar bands which
facilitate multiple resighting of birds.  Radio telemetry is another tracing
method with a normal recovery range of 8 to 240 km (Sladen 1975).  About 1,000
Canada Geese are banded each winter from primary Eastern Shore flocks to
monitor the status of the population (Stotts, personal communication).
Observations of production and band recoveries of diving ducks and also  dabbling
ducks such as Gadwalls and Black Ducks have indicated changes in the breeding
range and migration routes for these species.

Population Trends of Wintering Waterfowl in Chesapeake Bay

     Information on the distribution and population count for all waterfowl
species of the United States is available from the U.S. Bureau of Sport
Fisheries and Wildlife, Migratory Bird and Habitat Research Laboratory,  Laurel,
Maryland.  This annual aerial continental survey (January inventory), initiated
in 1948, is presently ongoing in cooperation with State and provincial con-
servation departments.  Graphs of the population trends for eight species of
waterfowl inhabiting the Atlantic Flyway and the Chesapeake Bay region are
represented in Figure 32.

     The two most abundant puddle ducks on Chesapeake Bay are Black Ducks and
Mallards.  Generally, Black Ducks and Mallards have maintained fairly stable
populations after declines from outstanding highs observed in the mid-1950's.
The high population of Mallards was a result of excellent water conditions on
the western and northern breeding grounds succeeded by poor water conditions in
                                     105
 image: 








Table 16.   Waterfowl  of the Chesapeake Bay3
Family Anatidae (Swans, Geese and Ducks)

     Subfamily Anserinae (Swans, Geese)

                  Cygnus columbianus (Whistling Swan)
                  Cygnus olor (Mut¥~Swan)...recently introduced
                  Cygnus buccinator (Trumpeter Swan)...  formerly present
                  Anser c. caerulescens  (Lesser Snow Goose)
                  Anser caerulescens atlantica (Greater Snow Goose)
                  Brantja canadensis (Canada  Goose)
                  Branta bernicla hrota  (Atlantic Brant)

     Subfamily Anatinae (Surface-Feeding and Diving Ducks, Mergansers,
     Stiff-Tailed Ducks)

                  Aix sponsa (Wood Duck)
                  Anas penelope (European Wigeon)... rare
                  Anas americana (American Wigeon)
                  Anas strepera (Gadwal1)
                  Anas crecca carolinensis (Green-winged Teal)
                  Anas platyrhynchos platyrhynchos (Mallard)
                  Anas rubripes (Black Duck)
                  Anas acuta acuta (Pintail)
                  Anas discors (Blue-winged Teal)
                  Anas clypeata (Northern Shoveler)
                  Aythya valisineria (Canvasback)
                  Aythya amer i cana~TRedhead)
                  Aythya collaris (Ring-necked Duck)
                  Aythya man'la mariloides (Greater Scaup)
                  Aythya affinis (Lesser Scaup)
                  Clangula hyemalis (Oldsquaw)
                  Melanitta nigra americana (Black Scoter)
                  Melanitta perspicillata (Surf Scoter)
                  Melanitta fusca deglandi (White-winged Scoter)
                  Bucephala albeola (Bufflehead)
                  Bucephala clangula americana (Common Goldeneye)
                  Mergus cucullatus (Hooded Merganser)
                  Mergus ¥errator~TReh-breasted Merganser)
                  Mergus merganser americanus  (Common Merganser)
                  Oxyura jamaicensis ribida (Ruddy Duck)
a  Bell rose 1976
                                       106
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the late 1950s  (Perry 1977).   Data for individual  puddle duck species show
that population trends for the Atlantic Flyway parallel  those of Chesapeake Bay
(see Graphs A and B) though Mallards have undergone greater population fluxes
in the Atlantic Flyway than the Chesapeake Bay.

     Total  populations for members of the diving ducks of genus Aythya showed
trends similar to the puddle ducks (refer to Figure 32,  C, D, E and F).   The
Canvasback  populations of Chesapeake Bay in early survey years comprised nearly
50 percent of the Flyway population.  The average total  population size of
Canvasbacks was higher in the 1960s  when vegetation was more readily available
in Chesapeake Bay.  Canvasbacks have adapted to available invertebrates as
their food  resources owing to vegetation reductions.

     Scaups, which are the second most important diving  duck species in the Bay,
remained relatively stable during the past 30 years in the Chesapeake Bay.
The Bay populations of Redheads has been on the decline; Atlantic Flyway
numbers increased erratically with a high in 1966 which  was not reflected in the
Chesapeake  Bay population.  This species shows the greatest dependence on SAV
of all the  diving ducks.  In both the Atlantic Flyway and Chesapeake Bay, the
population  of the Buffieheads, a traditional animal feeder (McAtee 1911), has
fluctuated  upward.

     The Canada Goose population has been rising steadily over the past 20 years
(see Figure 32, Graph G).  Field feeding on corn (Zea mays) has enlarged the
range and carrying capacity for this species.  Similarly, Whistling Swans have
changed their feeding habits from submerged aquatic vegetation to field feeding
(see Figure 32 Graph H).  In the past decades, the population count of Whistling
Swans has decreased slightly in the Bay and increased on the Atlantic Flyway.

     The Mute Swan was recently introduced into the Eastern Shore of the
Chesapeake Bay when five birds escaped from captivity in 1962.  By 1970 there
were approximately 27 birds inhabiting the Miles River area.  Since 1970, the
Mute Swan population has increased yearly by almost 40 percent (Fenwick personal
communication).  If this rate of increase continues, there could be about 10,000
mutes in the Bay by 1988.  Bay area researchers are concerned that the Mute Swan
may be causing interspecific competition for vegetable food resources of
native waterfowl.  A single Mute Swan can consume up to about 4.6 kg of SAV
daily (Fenwick, personal communication).

Feeding Habits of Predominant Waterfowl of The Chesapeake Bay

     Changes in the availability of traditional food sources is regarded by Bay
area researchers as a primary cause of Chesapeake Bay waterfowl population
fluctuations (Rawls, in press; Fenwick, personal communication; Stotts,
personal communication; Perry et al. 1976).  Not only have there been
fluctuations in submerged aquatic vegetation abundance but also in the avail-
ability of the brackish water clam  (Rangia cuneata).

     In order to study past and present feeding habits,  ducks can be conveniently
divided into two groups based on physical morphology.  Diving ducks exhibit a
posterior leg position which makes  terrestrial movement difficult and restricts
feeding to an aquatic environment.  Dabbling ducks have a more forward leg
                                      109
 image: 








position which facilitates maneuverability on land but does not restrict aquatic
movement.  Table 17 lists in detail  the feeding habits of the major waterfowl  in
the Chesapeake Bay.  The following section discusses these feeding habits and  the
changes that have been noted.

     Canvasbacks, one of the diving ducks, have fluctuated in number over the  past
few decades.  Traditionally, wintering Canvasbacks were vegetation feeders,  their
mainstays being wild celery and sago pondweed.  In the 1950s it was found that
"Cans" existed on a mixed diet of vegetation and invertebrates (Stewart 1962).
Recent declines of submerged aquatic vegetation has had an effect on the number
of not only Canvasbacks but of most waterfowl wintering in the various  regions of
the Bay (Perry et al. 1976).

     Canvasbacks have adapted their diet to abundances of particular foods.  This
flexibility has enabled the "Cans" to adapt to a situation of decreased submerged
vegetation and become independent of vegetable foods.   Currently their  diet  con-
sists of about 48 percent animal and 52 percent vegetable matter (Rawls in press).
Baltic and soft shelled clams constitute the main animal foods while corn and  red-
head grass are the primary vegetable foods.  The availability of animals, particu-
larly the brackish water clam may have caused yearly fluctuations in the Canyasback
populations on the Western Shore.  In 1968, only 11 percent of Canvasbacks wintered
there; while in 1971 the population on the Western Shore increased to 87 percent.
The availablity of Rangia to Canvasbacks has decreased due to diminished spawning
and excessive clam size (Perry et al. 1976).

     The Redhead, another diving duck, presently shows a greater dependence  on
vegetation than does the Canvasback.  Gizzard studies by Rawls (in press) showed
that the Redhead's diet consisted of about 76 percent vegetable and about 23 percent
animal foods.  Studies by Stewart (1962) showed that leaves, stems, root stalks
and seeds of various species of rooted aquatics were the predominant foods.

     The Lesser Scaup, also a diving duck, feeds on both vegetable and  animal  foods.
Stewart (1962) showed that various species of mollusk were the principal food
sources.  Rawls (in press) determined animal foods comprised almost 48  percent of
their diets.  Percent vegetable intake over the 1959 to 1968 study constituted
slightly over 52 percent.

     Two other diving ducks, the Bufflehead and Goldeneye, are traditionally
mollusk and crustacean feeders but will also consume vegetable matter (Stewart
1962).  Rawls (in press) found that in the Chesapeake Bay, over 67 percent of the
Buffleheads total food intake was animal.  A 1962 study done in Back Bay and
Currituck Sound showed that Bufflehead's subsisted on the seeds of widgeongrass
and naiad, with plants comprising 64 percent of their diet (Sincock 1962).  Recent
work in Chesapeake Bay by Rawls (in press) showed that the Goldeneye has an animal
diet similar to the Bufflehead: 63 percent animal food and 37 percent vegetable food,

     Dabbling ducks such as Mallards and Black Ducks are able to feed in both
aquatic and terrestrial environments.  Mallards have been found to eat almost
anything available (Bellrose 1976) but subsist almost entirely on a vegetable diet
in the Chesapeake Bay (Stewart 1962; Rawls in press).  The natural foods of
Mallards differ sharply in freshwater estuarine marshes compared to brackish
                                        110
 image: 








Table  17.   Food  habits of waterfowl  in the upper Chesapeake Bay,  Maryland9'5
Waterfowl
species
Canvasback



Redhead




Lesser Scaup




Bufflehead




Go! den eye




Mallard





Black Duck





Canada Goose




Animal Vegetable Total
food food %
% %
47.76 51.85 99.61 19.65
18.42
16.32
14.29
7.44
23.40 76.59 99.99 29.29
15.19
14.74
10.53
6.73
47.56 52.47 100.03 20.48
12.32
11.59
10.85
6.89
67.42 32.59 100.01 13.52
11.85
10.00
8.52
7.22
63.09 36.87 99.96 19.44
17.67
14.88
9.22
9.00
5.00 94.80 99.80 24.14
10.41
8.17
9.13
1.64
1.31
6.44 93.54 99.98 17.52
15.50
14.20
8.40
1.91
1.76
0.00 100.00 100.00 32.42
29.61
6.97
5.11
2.99
Predominant foods
% total volume
Baltic clam
Corn
Soft-shelled clam
Redhead grass
Widgeongrass
Corn
Redhead grass
Widgeongrass
Soft-shelled, Baltic and Mitchell's clams
Conrad's false mussel
Widgeongrass
Soft-shelled clam
Corn
Redhead grass
Mussel
Widgeongrass
Redhead grass
Barnacle
Fish
Mud crabs
Mud crab
Corn
Soft-shelled clam
Barnacle
Bivalves (unidentified fragments)
Corn
Redhead grass
Widgeongrass
Other submerged macrophytes
Conrad's false mussel
Soft-shelled clam
Corn
Redhead grass
Widgeongrass
Milfoil
Conrad's false mussel
Amphipods
Grasses (Gramineae)
Corn
Milfoil
White clover
Crab grass
aBased on waterfowl  gizzards collected  during 1959-1968  hunting  seasons
^Rawls (in press)
                                        111
 image: 








water marshes within the Chesapeake Bay estuary.   Stewart (1962)  found that seeds
of smartweeds, soft stem and three-square bulrushes and bur reeds predominated
in freshwater, while in brackish water marshes, seeds of widgeongrass, pondweeds,
smartweeds and the leaves and stems of submerged aquatics were more important
food sources.

     Black Ducks display feeding habits similar to Mallards with  a diet consisting
mainly of plant food (Stewart 1962; Rawls in press).   One notable difference be-
tween Mallards and Black Ducks was a higher consumption of sea lettuce by Black
Ducks (Rawls in press).  Presently underway is a study by George  Fenwick (The
Johns Hopkins University) of about 300 duck gizzards  collected in Eastern Bay,
Miles River and Wye River from 1972 to 1976.  Predominant species included in
the analysis are Black Duck, Wigeon, Mai lard,Scaup, Goldeneye, Bufflehead,
Old Squaw and Ruddy Duck.  Though the study has not as yet been completed, a
tentative conclusion shows that submerged aquatic vegetation has  been declining
as a waterfowl food source (Fenwick, personal communication).   Fenwick further
hopes to show the impacts of the increased Mute Swan  population on food avail-
ability to not only Whistling Swans but native diving and dabbling ducks.

     Canada Geese are herbivores and have benefited from agricultural products
more than any other waterfowl species of North America (Bellrose  1976).  The
population of this species has increased rapidly over the past three decades.  It
has been estimated that with modern crop harvesting methods, 10 percent of the
crop remains after harvesting.  Canada Geese have reduced their intake of
aquatic plants and turned to croplands along the Atlantic Flyway.

     Whistling Swans have a diet that is similar to Canada Geese.  These swans
now commonly feed on field grains and can cause crop  damage (Sladen 1975).
Early observations of Whistling Swans (Bent 1925) suggested that  their diet was
predominantly vegetable but they fed on some shellfish.  Stomach  analyses by
Martin et al. (1951) indicated a diet of emergent and submerged vegetation with
sago pondweed most common.  Stewart and Manning (1958) found that Whistling Swans
in brackish estuary waters consumed widgeongrass (50  percent ) and mollusks
(40 percent), in addition to small quantities of redhead grass and sago pondweed.
In contrast, swans observed feeding in the fresh waters of the northern Chesapeake
Bay fed entirely on wild celery.

The Role of Myriophyllum spicatum as a Waterfowl  Food Source

     The extravagant growth of milfoil that infested  the Chesapeake Bay in the
1960s  caused some concern among waterfowl  enthusiasts as to milfoil's use as
a waterfowl food source.

     Based on information available at the time, Martin and Uhler (1939) had
determined that milfoil was a less than satisfactory  food for ducks.  Florschutz
(1969) analyzed the digestive tracts of three geese and 74 ducks  from Back Bay
and Currituck Sound and found milfoil in all of the geese.  Wigeons had ingested
large quantities of milfoil though Mallard and Black  Duck digestive tracts showed
little milfoil.  The average food content for all 77  waterfowl showed that 45.5
percent was Eurasian water-milfoil.  Gadwalls contained the highest (88.9 percent)
by volume.  Canada Geese followed with 83.0 percent which was higher than
                                       112
 image: 








American Wigeons (71.0 percent).  Mallards and Black Ducks were lowest with
11.0 percent and 14.3 percent, respectively.

     Florschutz (1969) indicated that although the availability of higher
quality waterfowl  food was reduced by the milfoil invasion, various waterfowl
species used milfoil as a food source.  Subsequently, the waterfowl populations
of the inland waters of Virginia and North Carolina increased when total
Atlantic Flyway populations decreased.  Florschutz concluded that these popula-
tion trends showed that milfoil was "not totally unacceptable" as a food
resource.

     Contrary to waterfowl trends of Back Bay and Currituck Sound in the 1960s,
populations on the Susquehanna Flats showed marked declines.  During this time,
milfoil displaced more than a dozen native rooted aquatic species (Bayley et al.
in press).  January populations of waterfowl on the Flats averaged 4,900 during
early infestation of milfoil (1958-1961).  During the milfoil peak, January
waterfowl counts on the Flats averaged only 390 birds.  By 1965, when Vallisneria
returned to about 50 percent the level sustained prior to milfoil invasion, an
average of 4,860 birds wintered on the Flats.

Conclusions

     An overall decline of Redheads and Whistling Swans suggests that the
diminishing supply of a traditional food source of submerged macrophytes is a
contributing factor.  The Bufflehead, an animal feeder, has increased its
population size in the Chesapeake Bay during the past few decades.  Canada
Geese, Mallards and Black Ducks have adapted to terrestrial feeding.  Diving
ducks such as Canvasbacks, have adapted to a more animal diet.  Apparently, a
decrease of a traditionally desired food source such as SAV results in several
options for native and migratory waterfowl.  They can either seek an alternative
food source or compete for the diminishing food source.  Either alternative
could result in population reductions and locale changes.

AQUATIC FAUNAL ASSOCIATIONS

     Submerged aquatic vegetation functions as an essential link in the aquatic
faunal environment.  SAV serves as both a direct and indirect food source; beds
provide breeding and protection areas; and a variety of organisms use SAV roots,
stems and leaves for attachment.

     As a direct food source, SAV plant material, in both living and decaying
forms, provides food for a variety of vertebrates and invertebrates.  Physa eats
the tender green shoots of Chara and Elodea; Planorbis lives entirely on sub-
merged aquatic plants;  Ancylus consumes decaying plant material; and Ruppia
martima and Vailisneria spiralis can comprise up to 45 percent of the diet
of the sheepshead (Archosargus probatocephalus).  SAV, as an important source of
detritus further serves as a food source for a wide variety of filter feeders.

     By serving as habitat breeding and protection areas, SAV beds provide an
indirect food source for many species of fauna.  Plant roots, stems and leaves
provide firm bases for attachment of such sedentary epibenthos as mussels,
barnacles and mollusks (Green 1968).  Fish, such as the  cownose ray (Rhinoptera
bonasusyactively feed on mollusks that inhabit SAV beds (Orth 1975a_).  Marsh

                                      113
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(1973) observed the predation by numerous fish on the epifauna of the
aquatic plants.  Mi nidi a mi nidi a (common silversides), Apeltes quadracus
(four-spined stickleback) and Syngnathus fuscus (pipefish)  were the
most abundant fish observed.

     Baker (1918) found associations of Potamogeton perfoliatus,
Vanisneria spiral is, El odea canadensis, Ceratophyl 1 urn demersum,
Myripphyllum spicatum and Chara spp. with the mollusks Acel1 a haldemani
living on the leaves and stems and in the vegetation.  By th in ia
tentaculata, Galba cataseopium, Planorbis spp., Physa ancillaria and the
crustacean Gammarus fasciatus were among the other inhabitants.  For a
450 sq m area, Baker estimated the animal  life on Potamogeton sp.
Myriophyllum sp.  as:
                     and
     Potamogeton sp.

     247,500 mollusks
      90,000 associated animals

     337,500 Total fauna
 Myriophyllum sp.

 45,000 mollusks
 56,250 associated animals

101,250 Total fauna
     These values were calculated from fresh water areas, but salt water
areas characteristically have larger population numbers.

     Numerous insects and insect larvae use the SAV for food and
attachment.  Damage can be done to aquatic plants by such insects as
various leaf beetles (Chrysome!idae), snout beetles (Curulipnidae),
caddisfly larvae (Leptoceri dae and"Hydropti1idae) and froghoppers
(Delphacidae) (Martin and Uhler 1939).

     As a consequence of the wasting disease of Zostera marina in 1930
and 1931, the population of small motile seed of the scallop (Pecten)
irradians) severely declined and all but destroyed the commercial scallop
activity (Linduska 1964; Cottam and Addy 1947).  Radical  adjustments
were necessary for the spat of other shellfish which depended on eel grass
for a place of anchorage.  Shellfish such as crabs, scuds and other
crustaceans were also sheltered by these dense beds.  The eel grass also
provided protection in its dense foliage for the young of many species
of fish (Cottam and Addy 1947).

The blue crab (Callinectes sapidus) is known to spend much of its maturation
period dependent on SAV beds for sanction (Darnell 1959).  Once caught and
prepared for shipment, soft-shelled crabs are often packed in eel grass and
                                      114
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crushed ice (Anonymous 1959).  Fish, for example the black bass, sunfish and
bluegill, are known to build nests out of pondweed when breeding in shallow
waters.  Still others, Cyprinus carpio and Aineirus nebulosus seek marshy or
swampy areas characterized by dense SAV (Baker 1916).

EPIPHYTE ASSOCIATIONS

     Aquatic macrophytes growing in natural conditions typically support a
dense epiphytic community.  Historically, only the number, species composition
and biomass of the epiphytes have been examined intensively (Krecker 1939;
Skerman 1956; Hargraves 1965; Marsh 1973).  In more recent years there has
been an increased interest in interactions between the host and its associated
epibiota.  Prouse (1959) first indicated the possibility of such interactions
by showing statistically significant differences between epiphyte populations
on three different species in the same environment.  With the advent of sensitive
chemical techniques and the initial delineation of the role of dissolved organic
matter in aqueous environments, it has become increasingly clear that the
epiphyte-macrophyte association is complex and the interactions numerous.

     The epiphytic community of macrophytes in a littoral zone may have a biomass
of significant size and, in an area heavily grown over with submerged aquatic
vegetation, may have a biomass greater than the phytoplankton in the immediate
area (Allen 1971).  Primary productivity of the epiphytic flora in some areas
may be among the highest recorded, especially if the macrophytic vegetation
is well developed (Allen 1971; Wetzel 1964).  Furthermore, Allen showed that
the bacterial populations on the leaves of Chara and Mitel la had high activity
rates in the utilization of glucose and acetate.  That this high rate of
productivity and chemo-organotrophy exists, even in areas of low ambient nutrient
levels, suggests that the epiphytic flora is possibly being subsidized to a
certain extent by the host, aside from a locally enriched oxygen level.

     Macrophytic algae and phytoplankton excrete dissolved organic carbon under
many conditions (Hellebust 1965; Fogg 1966; Khailov and Burlakova 1969), although
the extent to which this occurs has been questioned recently by Sharp (1977).
Khailov and Burlakova (1969) suggested that dissolved organic material represents
another port of entry into the food web, in addition to the traditional grazing
and detrital pathways.

     Excretion by aquatic angiosperms has also been noted.  Najas flexilis. grown
under sterile conditions, was found to excrete significant proportions of total
carbon fixed as dissolved organic matter (Wetzel 1969; Allen 1971).  Zostera
marina excreted organic matter at the rate of 0.6 to 2.5 percent of total
carbon fixed (Penhale 1977).  It also appears likely that with the onset of
senescence, organic output is increased.  The numbers of bacteria epiphytic on
El odea, that are capable of utilizing glucose were found to increase nine-fold
as the leaves became senescent (Ramsey, 1974).  Epiphytic flora and fauna, due
to spatial configurations with the host plant, are ideally positioned to use
organic matter and nutrients liberated by the host.  Many species of animals and
plants capable of an epiphytic existence can make use of dissolved organic matter
(Stephens 1967; Provasoli 1971).
                                      115
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     It now appears likely that the excretion of dissolved organic matter is
responsible, in part, for the high rates of physiological  activity noted earlier.
Several studies have shown that transfer of material  does  exist between host and
epiphyte.  Harlin (1973) showed reversable, light-independent, translocation of
photosynthate between Zostera marina and an epiphytic Rhodophyta,  Smithora
naradum.  Isotopes of carbon and nitrogen taken up in the  rhizosphere of Z._
marina were found to be transferred to the natural epiphytic flora within one
hour (McRoy and Goering 1974).  In a more indirect study by Penhale (1977), the
release of dissolved carbon by Z.  marina was monitored in  three experimental
situations:  (a)  Z. marina alone; (b) Z. marina plus epiphytes; and
(c) epiphytes alone.  She reported significant differences in the percentage
of released carbon to carbon fixed between situation (a) and (b),  and between
(b) and (c).  Differences between "clean" plants and epiphytes alone were
not significant.  The conclusion was reached that this difference was due to an
interchange between the host and epiphytes involving transfer of organic material.

     Fry and Ramsey (1977) and Ramsey and Fry (1976)  treated two species of
aquatic plants, El odea canadensis and Chara vulgaris, with the herbicide
paraquat to observe changes in the activity rates'of the attached microbial flora.
E^ canadensis, which is sensitive to the herbicide, showed an increase in
heterotrophicactivity of its epiphytes, while C. vulgaris, a resistant species
did not.  This was accounted for by the increase in extracellular matter
given off by the dying E. canadensis.  Although both plants were in the same
immediate vicinity, the epiphytes of Chara did not respond to the pulse of
nutrient and dissolved matter given off by El odea indicating that the host plant
probably provides a substantive portion of the substrate for the epibiota.

     Excreted carbon may also affect many animal species as well, both directly
and indirectly.  For example, algal exudates were found to influence the
selection of substrata by the marine peritrich ciliate Vorticella marine
(Langlois 1975).  This may be due to direct chemical  influence or indirect
enhancement of growth of the bacteria on which Vorticella feeds.  Although
elucidated in the algae, there is no reason to suspect a different case in
the angiosperms.

     Extracellular products produced by macrophytes probably do not all increase
activity of the epiphytes.  Sieburth (1968) lists a variety of antibiotic agents
released by macrophytic algae.  Some of these, including tannins and other
polyphenols, may be excreted by submerged aquatics and interact with the
epiphytic community  (Harlin 1973).  Macrophytes in the field have been noticed
to produce an inhibitory effect on epiphytes in a freshwater lake (Fitzgerald
1969).  The effect is thought to be a nutritional competition (epiphytic growth
was abundant only when nitrogen levels were high) or a toxic principal released
by the macrophytes (Fitzgerald 1969).  Ceratophyllurn demersum was found to
inhibit  the growth of several cyanobacteria of the order Nostocales when grown
together in non-limiting media; however, a dilute water extract of the angiosperm
had a  stimulating effect on the same organism  (Kogan and Chinnova 1972).

     Release of dissolved organic matter by higher plants represents an
inefficiency that, at first, would seem to be non-adaptive.   If this excretion
enhances the growth  of epiphytes, it would lead to a reduction  in light to  the
photosynthetic  units of the higher plant and a decrease in bicarbonate flux as
                                      116
 image: 








pointed out by Sand-Jenson (1977).  It would seem that this release would be
selected against unless a feedback mechanism existed to explain this apparent
paradox.  Several mechanisms have been suggested.  An encrusting layer of
epiphytes on leaf surfaces may serve a protective function against biting and
sucking herbivores (Hutchinson 1975; Sieburth and Thomas 1973).  Another
possibility is the passing of nitrogenous compounds to the higher plants by
nitrogen-fixing epiphytes.  Goering and Parker (1972) presented evidence that
nitrogen-fixing epiphytes of sea grasses in Redfish Bay, Texas, contributed to
the nitrogen budget of the sea grass community.  Patriquin and Knowles (1972)
found high levels of fixation in the rhizosphere of tropical  sea grasses, but
less so in the temperate Zostera marina.  However, other investigators (McRoy
et al.  1973), found no measurablfe nitrogen fixation in the communities associated
with Z. marina and concluded that this activity might be more common in tropical
environs where ambient levels of nitrogen might be less.  Capone and Taylor
(1977)  working with the epiphytic community of Thai!isera testudimum found that
nitrogen fixation (mainly of the genus Callothrix) may provide 8 to 38 percent
of the daily nitrogen requirement for leaf production.  That nitrogen fixing
activities may be enhanced by the extracellular production of reduced carbon
substrates (Head and Carpenter 1975) lends support to the possibility of a
nitrogen-fixing feedback mechanism.

     Wetzel and Allen (1971) and Allen (1971) have proposed a conceptual model
to explain interactions between the various components of submerged aquatic
vegetation and their associated epibiota (see Figure 33).  The spatial
arrangement of the components required by the model is supported by electron
microscopy (Allanson 1973).  Although the system was originally proposed to
deal with freshwater macrophytes in a marl lake, it is not presumptuous to
assume that many of the interconnections are similar in an estuarine system.
The application and testing of this model as well as attempts to quantify it,
may yield a more generalized model and provide insight into the role of the
macrophyte-epiphyte interaction in the ecosystem as a whole.

NUTRIENT CYCLING AND THE EFFECTS OF NUTRIENT LOADING

Nutrient cycling

     Submerged aquatic vascular plants potentially have two sources of nutrients
available for uptake.  Dissolved nutrients in the water column can be taken
up by the leaves and stems in varying quantities depending on specific plant
characteristics (e.g. degree of development of the cuticle) (Sculthorpe 1967).
Rooted aquatics such as Potamogeton, El odea, Zostera and Myriophyllum may also
draw on the nutrient reservoir contained within the sediment (Hutchinson 19,75,
Sculthorpe 1967).  Rootless plants, such as Ceratophyllurn demersum, depend
solely on leaf and stem uptake.  In the absence of rooted aquatics, there is an
exchange of nutrients between the sediments and overlying water column due to
biological and physiochemical forces  (Syers  et al. 1973).  Thus, the
role of submerged aquatic vegetation as an interface agent between sediments and
pelagic zone and as a source/sink is of ecological significance.

     In a discussion on mineral nutrients, attention should be given to the form
in which the nutrient occurs,  The forms available to aquatic species may be
different than those for species of terrestrial habitats because of differences


                                      117
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118
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                    Energy source
                    Passive energy storage
                    Heat  sink
                    Plant  population
                    Self maintaining consumer population
                    Switch
                    Work  gate
Figure 34.   Energy language  symbols (Odum 1972)
                        119
 image: 








in physical and chemical  regimes.   Phosphorus compounds  in soils of low redox
potential, such as those  found in  the inundated root zone of aquatic plants,  are
more soluble and more available than those found in aerobic soils.   A marked
increase in extractable phosphorus was found in a soil  profile ranging from a
redox potential of +200 mv to -200 mv which resulted from the transformation
of the ferric salt to the more reduced (and more soluble) ferrous phosphate
(Patrick  andMahapatra 1968).   The  relative mobility of phosphorus is increased
in anoxic soils although  little is known of the rate of  transport to the over-
lying water (Syers et al. 1973).

     Nitrogen mineralization  in reducing conditions cannot proceed past the
formation of ammonium salts due to the absence of oxygen needed to convert to
nitrate.   Rooted aquatics probably have adapted to this  by selective uptake of
ammonium.  Potamogeton alpinus was found to die when supplied nitrate as the
sole nitrogen source (Misra 1938).  Other species may respond to nitrate,
however (Sculthorpe 1967).  Ammonium ions tend to be bound to negatively charged
clay particles in the sediments although  iffusion does  occur.  It is thought,
therefore, that the sediments function as a sink of phosphorus and nitrogen
and as a potential source for aquatic plants to draw on.  The nutrient pool in
the water column can be accessed by submerged aquatic plants through the leaves
and stems.  Submerged vascular plants act as nutrient traps and as a sink for
these dissolved minerals  (Clark et al. 1973).

     Submerged aquatic plants may  serve as "nutrient pumps" in that the roots
can trap available nutrients and transport them to the pelagic zone.  Inorganic
phosphate has been shown  to be absorbed by the roots and translocated through-
out the plant (McRoy and  Barsdate  1970; Bristow and Whitcombe 1971; McRoy et  al.
1972; DeMarte and Hartman 1974) and may be excreted or "leaked" through the
leaves.  The rate of transport may be light-dependent as shown by McRoy and
Barsdate (1970) with Zostera  marina; however, DeMarte and Hartman (1974) found
no significant differences between light and dark translocation in Myriophyllutn
spicatum.  If transport and release are affected by light, increased turbidity
and depth would decrease  nutrient  uptake and excretion.   Leakage of phosphorus
may be considerable.  Thirty-three percent of phosphate  absorbed in the root
zone of Zostera marina was excreted from the plant (McRoy and Barsdate 1970).
DeMart and Hartman (1974) exhibited release of radioactive phosphate from
intact Myriophyllum spicatum, and  the amount could be increased by physical
injury to the plant.  However, working with the same species, Bristow and
Whitcombe (1971) found no leakage  of phosphorus.  Harlin (1973) showed a transfer
of inorganic phosphorus from Zostera marina to an algal  epiphyte.

     Nitrogen supplied to Z.  marina roots in the N03~, NH^, and NH2(CO) forms
was translocated throughout the plant and excreted to an epiphytic community
(McRoy and Goering 1974).  Iron and calcium were also found to be absorbed
from the sediment and released by  the macrophyte Myriophyllum spicatum (DeMarte
and Hartman 1974).

     In several freshwater aquatic species, inorganic carbon was taken up by
the roots and transported to  the photosynthetic site  (Wiurn-Anderson 1971).
This may also represent a mode of  material transfer from the sediments.
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    Rooted aquatic vascular plants are therefore capable of withdrawing mineral
nutrients from the anoxic zone and pumping them upward.   Nutrients can also be
trapped from the water column and incorporated into biomass.   Release of these
nutrients can occur by excretion by healthy plants or by the death and sub-
sequent decay of individuals.

Responses to Nutrient Loading

     An increase of allochthonous nutrients into the aqueous system may produce
several effects on submerged vascular plants.  With an increase of ambient
nutrient levels, levels within the plant will increase as well  and may be
biologically concentrated (Anderson et al 1967; Allenby 1968).   This may prove
to be a useful tool in the assessment of nutrient loading in that changes in
the chemical analysis of plant tissue would reflect changes in exterior levels
of nutrients (Sculthorpe 1967; Adams et al 1973).  Changes in vegetative
morphology may occur as suggested by Adams  et al. (1971) for El odea.  Increases
in nutrient levels may also increase productivity in submerged species to a
certain point and several species have been shown to exhibit "luxury consumption"
(Orth, in press; Ryan 1969).

     Phytosociological patterns may develop in response to nutrient levels.
Early workers (Pond 1905; Pearsall 1920; Misra 1938; Swindale and Curtis 1957)
found that the distribution of aquatic macrophytes was dependent on the chemical
nature of the substrate.  Jaworski et al. (1972) using historical observations
of vegetation patterns in the Potomac River estuary, correlated increases in
nutrients with a succession of species.  In their example, water chestnut
(Trapa natans) was replaced by Myriophyllum spicatum which was in turn  replaced
by a cyanobacterial bloom of Anacystis.  This succession was due to increases in
nitrogen and phosphorus and little correlation was found with changes in
available carbon.  The same successional pattern was observed in rivers of the
upper Chesapeake Bay in response to nutrient loading (Clark et al. 1973).  An
increase in phytoplankton in response to nutrient loading, as seen above, may
limit light and decrease productivities of macrophyte communities.

     Predictions of the response of submerged vascular plants to nutrient
loading based on present knowledge would be equivocal.  More research is necessary
if answers to these questions are to ascertained.

SUBMERGED AQUATIC MACROPHYTES AS BIO-INDICATORS

     Submerged aquatic species are not commonly viewed as indicators of
biological conditions or trends within the Chesapeake Bay.  The aquatic grasses
do not respond as rapidly to environmental conditions as various algal, phyto-
plankton and zooplankton species that are capable of rapid growth in bloom
proportions.

      Sculthorpe (1967) suggested that SAV species are potentially useful as
indicators of pollution trends.  Adams et al. (1971) supported Sculthorpe's
suggestion with evidence as to chemical and morphological responses of El odea
canadensis to increasing levels of nutrient pollution.  As of their writing,
Adams et al. indicated that no experimentally comprehensive work had been
performed in order to evaluate the potential advantages or disadvantages


                                      121
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relating to the use of SAV as aquatic pollution trend indicators.   They further
suggested the need for clarification as to the identification of specific
nutrient pollution conditions in relation to individual  SAV  species.

     In assessing the value of using plants as indicators  in place of modern
water pollution analysis technology, Adams et al.(1971)  pointed out that relative
costs, scope and manpower requirements should be compared.   They concluded that
automated monitoring systems are initially costly,  expensive to maintain and
limited in scope.  By comparison, water monitoring  through  the use of pollution-
sensitive SAV would not only reduce initial and maintenance  costs  but could
provide a wide coverage using essentially a single  instrument.  Adams et al.
suggested  a system of transporting trfays of stock  plants  to various  locations
and the selective breeding of species sensitive to  specific  pollutants.

     The floating aquatic duckweed (Lemna perpusilla) has  been used by Feder
and Sullivan (1969, abstracted in Thomas et al. 1973) in experiments  with
ozone.  Plants treated with a low concentration of  ozone over two  weeks were
slower to multiply, had a lower rate of frond doubling and were slower to
produce fewer flowers than control plants.

     Several species of submerged and floating macrophytes  have been  tested for
effects from smelter pollution in Ontario (Gorham and Gordon 1963  , abstracted
in Thomas et al. 1973).  Species occurrence was found to be  inversely related to
dissolved sulphate.  Species diversity was low even where  sulphuric acid was
almost totally neutralized and waters were above pH 6.  Utricularia vulgaris
and Potamogeton epihydrus v. nuttallii appeared to  be rather sensitive to  heavy
metal concentration.

     Burrows (1971,  abstracted in Thomas et al. 1973) indicates that Ulva
lactuca has potential as a pollution indicator species because of  its ease of
culture and sewage pollution reactions.  Laminaria  saccharina is also listed as
a possible indicator species due to its sensitivity and availability.  An
historic view of eutrophication in the Potomac River estuary (Jaworski et al.1972)
suggests that nuisance plant conditions did not develop linearly with an increase
in nutrients.  As nutrient loading increased in the estuary, nuisance plant
growth was favored based on individual species nutrient requirements.  Thus,
Trapa natans infested the Potomac in the 1920s  to  be replaced by  Myriophyllum
spicatum in the 1950s  and 1960s.   As milfoil died out in  the mid 1960s,   it
was replaced by the blue-green alga Anacystis.  The massive  blooms of Anacystis
that have occurred each summer since 1960 can be associated  with phosphorus and
nitrogen loading increases.

TURBIDITY AND WATER MOVEMENT

     Submerged aquatic plants tend to modify their  physical  environment through
their growth habits.  By providing resistance to stream flow and wave action,
hydrophytes not only reduce average water movement  but aid  in the settling out
of silt particles thus reducing turbidity and building up  substrates.
(Sculthorpe 1967) Macrophytes initially provide frictional  resistance to current
velocity.
                                      122
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     Some species of macrophytes, ideally those SAV with linear ribbon-like
leaves do not provide finely dissected surfaces that trap silt particles and
organisms.  Thus particulate matter settles, becomes established and provides
bottom sediments that are often conducive to the establishment of further SAV.
Further colonization results in yet slower currents and greater sediment
deposition (Mitchell 1974).  Sculthorpe (1967) cited Millebrand (1950)  as having
found a 75 percent reduction in maximum current velocity in SAV colonized river
areas.

SEDIMENT STABILIZATION

     High energy shorelines are not conducive to colonization by SAV.  However,
in areas where vegetation is established, grass beds aid in the deposition and
stabilization of bottom sediments.  As plants provide resistance to currents,
particulate matter settles and builds up a substrate of fine silt particles
that enhances plant colonization.  As plant root stock developes and the SAV
beds expand, bottom substrates are further stabilized.

PH

     Hydrogen ion concentration, or pH in an aquatic environment, is a  function
of the dissolved C02 content; as the C02 content is lowered, pH increases.  Thus
as plants photosynthesize during the day and lower the dissolved C02, the pH
will increase.  At night as plants respire and give off C02, the pH will decrease.

     The degree of change in pH is greatly determined by the buffering  capacity
of the aquatic medium.  Carbon dioxide combines with water to form H2C03 which
in turn reacts with limestone to form carbonates (-C03) and bicarbonates (HCOs).
This carbon dioxide-carbonate-bicarbonate complex acts as a buffer and  results
in more neutral conditions.

     Aquatic plants thus affect pH through C02 fluctuations and pH in turn
affects plant chemical processes.  Enzyme activity rate has been determined to
be influenced by the pH of the medium as enzymes exhibit optimum activity
within specific pH ranges (Small 1946).  pH further influences imbibition or
swelling of prbteins and is thus related to seed germination.  Hydrogen ion
concentration may alter heat susceptibility and enzyme solubility and is related
to absorption and accumulation of salts (Curtis and Clark 1950).  Toxicity
and solubility of heavy metals, detergents, aromatic solvents, acids, alkalis
and salts may also be influenced by pH (Sculthorpe 1967).

COMMERCIAL AND CONSERVATION VALUES

     In various parts of the world, species of submerged aquatic vegetation are
considered a resource and used for forage and fertilizer. Commission on  Inter-
national Relations (1976) includes such examples as the use of water hyacinth
(Eichornia spp») for bedding material in mushroom cultivation in the Philippines,
as a substitute for German peat moss, as a propagation medium for houseplants
and as a nutritional supplement for nonruminant animals in Southeast Asia.
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Boyd (1974) discussed the food value of several  emergent  and  submergent aquatic
plants including Najas guadalupensis, Ceratophyllurn demersum  and  Potampgeton
diversifolium.  Table 18 compares these three SAV with  alfalfa.

     Table 18.   Food value  (percent dry weight) of several species of
     submerged aquatic vegetation and alfalfa3


                                              Crude
                                    Ash       Protein                 Cellulose
          Species                   %           %         Fat            %
Najas guadalupensis
Ceratophyllum demersum
Potamogeton diversifolius
Eichornia crass ipes
Alfalfa
18.7
20.6
22.7
18.0
8.6
22.8
21.7
17.3
17.1
18.6
3.8
6.0
2.8
3.6
2.6
35.6
27.9
30.9
28.2
23.7
      a  Boyd  1974

     Despite the high nutritive levels in some SAV species,  they also have a high
water content.  In order to best use the plant material  for  fodder,  the 90 to
95 percent water content should be lowered by dehydration in order to increase
the food value per weight.  This need for drying increases the expense and
decreases the practicality of using SAV for fodder (Boyd 1974).

     In the United States, the National Aeronautics and  Space Administration
(NASA) is conducting research on the use of water hyacinth and other aquatic
plants as a source of methane gas.  Also being investigated  is the use of such
SAV species as Elodea canadensis and Ceratophyllum demersum  in water-treatment
systems (Commission on International Relations 1976).  Water hyacinth is already
being used in Lucedale, Mississippi, by a NASA facility  to remove nutrients from
sewage effluent (Commission on International Relations 1976).  The harvested
plant material is then processed for animal feed, fuel and fertilizer.  Duckweed
(Spirodela sp.) is being grown at Louisiana State University on dairy farm
effluents then substituted for alfalfa for swine and dairy feed (Commission on
International Relations 1976).

     Native submerged aquatic vegetation in the Chesapeake Bay is generally
regarded more for its beneficial use by wildlife than its possible commercial use.
Field work is presently being conducted by Vernon Stotts, Maryland Wildlife
Administration to determine the feasibility and success  of planting  methods for
Ruppia maritima.  Further work on this variety would be  necessary in order to
establish the usefulness of SAV in the establishment of  conservation areas, the
possible use of SAV as bio-indicators and the feasibility of commercial SAV uses.
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                                 CHAPTER 3

          HISTORICAL TRENDS OF CHESAPEAKE BAY SUBMERGED AQUATICS


 INTRODUCTION

     Historic documentation of the distribution and abundance of aquatic vege-
 tation  in the Chesapeake Bay is sparse until the late 1950s.  Up to that time,
 documentation is limited primarily to occasional newspaper references, herbarium
 notations, personal communications and occasional scientific papers dealing with
 single-season populations found in specific areas.  The oldest records available
 are found in the Smithsonian's herbarium dating back to 1871.  From the late
 1920s through the present, Francis Uhler of the U.S. Fish and Wildlife Service
 Migratory Bird and Habitat Research Laboratory  (MBHRL), has observed and noted
 Bay grasses, especially in the Potomac River.

     The first comprehensive survey of SAV was  begun in 1958 on the Susquehanna
 Flats by MBHRL personnel.  Located in the upper Bay at the mouth of the
 Susquehanna River, this area has always been important for waterfowl feeding.
 This study is presently being continued and documents the occurrence and relative
 abundance of all the major species of SAV on the Flats.

     In 1959, Vernon Stotts of the Maryland Wildlife Administration designed
 a  transect system for sampling Maryland Chesapeake Bay benthos in the autumn
 (Maryland Pittman-Robertson Project W-30-R-8).  Based on nine transect lines,
 this Benthic Survey was continued through 1961.

     In 1967, Vernon Stotts again designed a summer vegetation sampling program
 (Maryland Pittman-Robertson Project W-45-2).  This survey dealt only with SAV
 and was based on an intensive network of transects radiating from the shorelines.
 The Vegetation Survey covered the Maryland Eastern Shore and was continued
 through 1969.

     The idea of this survey was picked up by James A. Kerwin and Robert E.
 Munro of the MBHRL and summer sampling began in 1971 with the aid of Vernon
 Stotts.  This survey is presently in operation  and is the only Maryland Bay-wide
 program in existence for rooted aquatics.

     Available information for SAV in Virginia waters is limited mainly to herbarium
 specimens and the work of Robert Orth and Walter Priest from Virginia Institute
of Marine Science.  Orth has studied extensively the history of Zostera marina
 in the Bay as well as searching literature on the world-wide distribution and
 abundance of eel grass.  Priest surveyed the Rappahannock and Piankatank Rivers


                                     125
 image: 








in the spring of 1977.   Preliminary results  of the  1977 MBHRL Survey of the
Potomac River have been included in the conclusion  section  of this  chapter.
these data are for both  Maryland and Virginia,

     These surveys constitute the main body of  available knowledge on the dis-
tribution of SAV in the Bay.   Along with site-specific studies,  herbaria speci-
mens,  newspaper accounts and personal  communications, the  findings of the
surveys will be presented later in this  chapter.


CHESAPEAKE BAY CHRONOLOGY

     In attempting to assess  an historic documentation of declines  in submerged
aquatic vegetation in the Chesapeake Bay, it is first necessary  to  view the
situation chronologically.   Table 19 presents  almost fifty  years of Bay area
history including major storms,droughts, population growth, pest plant infesta-
tions and abnormal precipitation levels.  The  following section  discusses many
of these major events and their immediate results.

1920s

     Water chestnut (Trapa natans) first appeared near the  mouth of Oxon Run
at the head of the Potomac River in 1923 (Rawls 1964).  Within a decade, the
species had spread over forty miles of the river in shallow water areas.  Water-
fowl breeding grounds were termed useless (Maryland Department of Tidewater
Fisheries 1955) presumably because milfoil is  generally considered  to be one of
the least desirable waterfowl foods.

1930s

     In the early 1930s, Francis Uhler, MBHRL  is reported to having seen ducks
feeding on redhead grass and wild celery from the old 14th  Street Bridge in
Washington, D. C. (Rawls et al. 1975).

     On August 23, 1933, the Bay was hit by the century's worst  storm.  Water
rose about 45 cm per hour sending 0.6 to 0.9 m high waves over land
and resulting in 6 to 9 m high         waves in the ocean.   The  water level  was
almost three feet higher than the "great centennial" storm of 1876  (Daily Banner),
August 25, 1933).

     On September 16, 1933, another storm hit, raising water levels to similar
heights as the storm of the previous month.   The Daily Banner reported September
20, 1933, that thousands of tons of eel grass and peat plants were destroyed  in
the Nanticoke, Blackwater and Hooper Island area by excessive wave  action.

     From 1930 to 1932, an unprecedented drought brought brackish water farther
up into the estuaries (Stewart  1962).   This impact, coupled with the crowding
out effects of an increasing abundance of Trapa natarrs, caused SAV  to gradually
disappear by 1935 (Gwathmey   1945; Stewart 1962).   The impact of the drought
followed by the 1933 storms contributed to about five years of severe biological
stress to the Chesapeake Bay ecosystem.
                                     126
 image: 








Table  19.  Chesapeake Bay chronology
1930 	  1930's Trapa natans infestation in Upper Potomac River; 1930's
            Zostera decline
1931 	  Severe drought
1932 	  Hurricane (August)  --  extreme tides
1934 	  Residual severe biological stress from 1933
1935
1936 	  Record flood (March)
1937
1938
1939
1940 	  Bay area population 1,600,000
1941
1942 	  Flood (October)
1943
1944
1945
1946
1947
1948
1949
1950 	  Approximately 4,000 ha of Potomac infested with Trapa natans
1951
1952
1953
1954 	  Hurrican Hazel (October)
1955 	  Tropical storm Connie (August); tropical storm Diane (August)
1956 	  Northeastern (April)
1957 	  One-third 1958 rainfall (May to August)
1958
1959
1960 	  Tropical storm Donna (September); Bay area population 2,600,000
1961 	  Approximately 20,000 ha of Bay covered with Myriophyllum
1962 	  Northeastern (March); over 40,000 ha of Bay covered with Myriophyllum
1963 	  Drought from 1963 to 1965
1964 	  Salt water intrusion from 1964 to 1966; drought
1965 	  Drought
1966
1967 	  Excessive precipitation (May and June)
1968
1969 	  Abnormally low precipitation (winter); high precipitation (summer)
1970 	  Bay area population 3,100,000
1971
1972 	  Tropical storm Agnes (June)
1973
1974
1975
1976 	  Exceptionally low precipitation
1977 	  Record cold winter
                                    127
 image: 








     By 1933, 4,000 ha of Trapa natans  thrived in  the  Potamac  River  from
Quantico north, to the falls.   Satisfactory control  was  achieved  through under-
water mowing techniques by the U.S.  Army Corps of  Engineers  (Rawls 1964).

     Along the east coast of North America  and the west  coast of Europe,  major
declines in Zostera occurred in the 1930s.  The causal  organism  may  have been
the protozoan, Labyrinthula.    Discussions as  to the decline of  eelgrass are
presented in Chapter 1 in the section dealing  with Zostera marina and  in Chapter
4 in the section on diseases.

1950s

     Hurricane Hazel hit the Eastern Shore on  October  5,  1954, with  161  kph
winds and  45 m        waves  (Daily Banner, October 15, 1954).  Farm pastures
and agricultural land was destroyed by  salt water  (Daily  Banner, October 20,
1954).  It was estimated that from 2,200 to 11,000 kg/ha  salt  was deposited on
the fields (Daily Banner, November 4, 1954).  Captain  Amos Creighton,  Department
of Tidewater Fisheries, surveyed Eastern Shore oyster  beds and found little
damage (Daily Banner, October 22, 1954).  The  Compass  (Maryland  Department of
Tidewater Fisheries, December, 1954) reported  that the  grass beds did  not  seem
to be damaged even though the storm was the worst  one  since  August 23, 1933.
Within three years after Hurricane Hazel and tropical  storms Connie  and Diane
(1955), aquatic plant populations in the Bay were  termed  luxuriant  (Springer
et al. 1958),

     Invasion of the upper Chesapeake Bay by Eurasian  watermilfoil  (Myriophyllum
spicatum) became apparent in 1954 when  plants  were discovered  in the Gunpowder
River (Steenis et al. 1962).   By 1958,  Myriophyllum was becoming a very serious
pest plant.  Chesapeake Bay Laboratory, Virginia Institute of  Marine Science
and MBHRL had begun to receive complaints and  aid  requests from  property owners,
and sport, civic and commercial groups.  Creeks and small  rivers where choked
with milfoil mats that prevented navigation (Rawls 1964).

     Waterchestnut infestation became a serious problem again  in 1950  with ap-
proximately 72 km of the Potomac River  covered with the species. The  River and
Harbor Act of May 17, 1950, provided authorization for the complete  eradication
of Trapa from the Potomac River and tributaties (Kolessar 1967)

1960s

     By 1961, an estimated 20,200 ha of tidewater  Maryland were  infested with
Myriophy11umH  In the summer of the following  year, over  40,500  ha were covered
(Rawls 1964).  On the Susquehanna Flats alone, autumn  surveys  in 1960  documented
milfoil at 84 percent of the 60 to 80 stations surveyed (Stotts  1961).

     In June of 1967, continuous excessive precipitation  caused  a  "wash-in" of
muddy water.  Though this condition was probably not solely  at fault,  it seemed
to be instrumental in bringing about a  noticeable  reduction  of SAV to  scattered
pockets of vegetation in the fresh and  brackish portions  of  the  Bay  (Steenis
1970).
                                      128
 image: 








1970s

     Hurricane Agnes reached the Chesapeake Bay on June 21, 1972, after an
unusually wet winter and spring.  Over a three-day period from 19 to 45 cm
of rain was dumped on various portions of the Bay watershed.  Documented
results of the subsequent flooding include impacts to; salinity regimes;
sedimentation rates; dissolved phosphorus and nitrogen levels; trace metal
and pesticide budgets; dissolved oxygen content; shellfish; aquatic plants;
plankton; and benthos.  Economic impact was assessed at $43 million distri-
buted mainly on the Western Shore in the shellfishing, tourism and recreation
industries in both Maryland and Virginia (Davis 1974).

     Bayley et al. (in press) indicated that submerged aquatic plant recovery
had been slower than after the storms of the 1950s.  Also after Agnes they
reported that dominant aquatic plant species in the Susquehanna Flats no longer
grew at the deeper depths as during the early 1960s.


DOCUMENTATION SURVEYS

     Documentation surveys vary widely as to geographic coverage, season, year,
sampling method, data analysis and purpose.  The only common denominator is
species occurrence.

     The two most important variables that affect the individual surveys results
are season and data quantification.  The time of year in which a survey is
performed will greatly affect the results.  Some species, for example
ZannicheTMa palustris, exhibits two growing seasons, one in the spring and
another in the fall.   Therefore, a survey performed during July and August,
such as the MBHRL Survey, would not document as much Z_. palustris as a survey
done in May or June or in the fall.

     In comparing some surveys, data quantification becomes a problem of
semantics.  The commonly used terms of "abundant", "common" and "rare" sometimes
refer to visual estimates and other times refer to volumetric analysis.  Visual
estimates are highly subjective and at times are based on the percent  of a
grab sample or the density of a quadrat.  Other times the assessment is made
according to relative abundance among species.

     Survey data is presented in this chapter to the degree of analysis avail-
able in the original work.  However, conclusions based on the body of informa-
tion available by combining all surveys has been limited primarily to species
occurrence due to the analysis problems just described.

     General conclusions and possible trends based on these surveys are pre-
sented and analyzed in Chapter 4 in relation to the environmental parameters
that are known to affect submerged aquatic vegetation.

Susquehanna Flats Survey, 1958 - present

     The first major study of rooted aquatics was conceived in 1957 to study
the effects of hurricanes on the Susquehanna Flats.  Paul Springer,
                                      129
 image: 








Robert E. Stewart and Francis Uhler,  MBHRL,  were requested to investigate what
species were present on the Flats.   Sampling began during the summer of 1958
along established transect lines covering  a  total  of 37  km (Bayley et al. in
press).  Sampling was accomplished  every 274 to 366 m by dragging grappling
plant hooks spaced about 3.05 m apart.   Plants  were rated as  "abundant,"
"common," "occasional," or "rare" based on visual  observations.   Table 20 re-
presents the ratings over the 18-year sampling  period for the four dominant SAV
species found on the Flats.

     Though initiated in order to study the  effects of hurricanes,  this  survey
was able to document not only population fluctuations of native  rooted aquatic
species but also the spectacular rise and  decline  of Myriophyllum spicatum.
Results of the survey through 1976  include:

     •  Eurasian watermilfoil increased in occurrence from 1958  to a peak in
        1962.

     •  Other dominant species remained at fairly  constant levels from 1958
        to 1961.

     •  Dramatic declines of wild celery,  naiads and elodea were noted in 1962.

     •  Milfoil decreased after 1962  except  for slight increases in 1966  and
        1967.

     •  As milfoil decreased after  1962, other  dominant  native species increased,
        returning to near former levels after 8 to 10 years.'

        In 1972 all plant populations declined  to  near zero.

     •  Plant populations have remained extremely  low since 1972.

     •  Of the average 13.5 species documented  from 1958 to 1962, 9 species
        remained from 1963 to 1965  and 10.5  species were present from 1966 to
        1971.

     •  Potamogeton amplifolius, P_. gramineus,  and P_. nodosus did not return
        after milfoil declined.

Benthic Survey, 1959 - 1960

     In order to determine the importance  of SAV and benthos  to  waterfowl,
Stotts (1960) initiated an inventory  of Bay benthos in 1959 for  correlation with
waterfowl numbers.  Based on nine established Bay  transects (see Figure 35),
sampling occurred in autumn and was continued for  three  years.  The transect
lines were established in correlation with water quality transects being  used
by The Johns Hopkins Chesapeake Bay Institute.   Samples  were  taken mainly with
a Peterson sampler and station locations were determined by ambient depth.  Three
samples were taken in both the 0 to 1.5-m and the  1.8 to 3.7-m range.
                                      130
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Figure 35.   Benthic Survey, 1959-1961
                                    132
 image: 








     The survey was discontinued subsequent to the 1961  sampling due to the
inadequacy of sampling scale in contrast to the extreme  variability of organisms
and conditions within the Bay.   Table 21 presents percentage occurrence of vege-
tation based on Stotts'  original sample yields.

     The limited coverage of the Bay plus the short-term nature of the sampling
program do not allow for conclusions as to SAV declines  based solely on the
Benthic Survey.  However, the survey does provide some evidence as to species
occurrence especially when correlated with the results of the other surveys.
These correlation results are outlined later in this section.

Vegetation Survey, 1967-1969

     In order to determine variations in abundance and distribution of SAV in
estuarine shoalwaters of Maryland's Eastern Shore, Stotts (1970) initiated a
further survey of the Chesapeake Bay in 1967.   Established as a pilot study,
the survey attempted to determine what methods would be  necessary to develop  a
study that would relate significant changes in SAV occurrence and abundance.

     A system of transects was  established covering all  bays and major rivers.
Located approximately one mile  apart, these transects ran more or less perpen-
dicular to the shore.  From one to three samples were taken on each transect
based on available depths, one  station fell within each  0.3 to 0.9, 1.2 to 1.8,
and 2.1 to 2.4-m depths.   Four 3.0 m random drags with  a 35-cm cultivator rake
head were made at each station  and the results for each  drag recorded by species
and rated as to "abundant," "common," "occasional" or "rare."

     A total of approximately 1,000 transects were sampled over the three years.
In 1967, about 250 transects were surveyed from the Maryland/Virginia state line
north to the head of the Honga  River.  The following year approximately 375
transects were sampled from Hooper's Island to Tilgham Point.  In the final year,
about 380 transects were surveyed north from Tilghman Point up into the Elk
River.  Figure 35 delineates the areas covered each year and Table 22 and 23
shows frequency of occurrence.   Survey findings include:

     •  Massive mortality of SAV occurred north of the Choptank River during
        the latter part of July and early August.

     •  A general comparison of SAV abundance indicated  that the southerly,
        more brackish embayments and the fresher bayshores were better pro- t
        ducers than the northerly and brackish counterparts, respectively.

     •  Vegetated samples were  located primarily from the 0.3 to 2.0 m range.
        Vegetation was notably  less in the 2.1 to 2.7 m range.

     *  Causal agents were thought to be heavy rains, high sediment loads and
        an increase in phytoplankton and zooplankton blooms.
                                     133
 image: 








Table 21.   Frequency of occurrence of submerged
aquatic species, Bentic Survey,  1959-19613
Transect locations and species
Susquehanna Flats
Potamogeton sppF
Vallisneria americana
Najas guadalupensis
Elodea canadensis
Myriophyllum spicatum
Chara sp.
Ceratophylluin demersum
Back River to Fairlee Creek
Myriophyllum spicatum
Vallisneria americana
Najas guadalupensis
Magothy to Chester Rivers
Ruppia maritima
Potamogeton spp.c
P. perfoliatus
P. pectinatus
Vallisneria araericana
Najas guadalupensis
Zostera maritima
Myriophyllum spicatum
Elodea canadensis
Chara sp
Ceratophyllum demersum
West River to Eastern Bay
Potamogeton gerfoliatus
P. pectinatus
Elodea canadensis
Myriophyllum spicatum
Ruppia maritima
Zostera marina
Breezy Point to Choptank River
Ruppia maritima
Potamogeton spp.1-
Dares Beach to Little Choptank River
Ruppia maritima
Potamogeton perfoliatus
Zostera marina
Elodea canadensis
Patuxent to Honga Rivers
Ruppia maritima
Zostera marina
Point Lookout
Zostera marina
Ruppia maritima
Tangier Sound
Ruppia maritima
Zostera marina
' Vernon Stotts, personal files
° Number of stations sampled
c In 1959, all species of Potamogeton were
Percent of
1959
14b
50
36
36
0
0
0
14
None
26b
8
15
0
0
0
0
0
0
0
None
18b
8
8
None
None
9b
0
0
16b
38
6
grouped together
sampling
1960
47b
17
60
51
21
8
19
0
38b
5
3
0
47b
11
26
6
4
2
2
0
0
0
0
64b
9
20
9
2
3
5
None
46b
20
9
4
0
72b
17
10
13b
75
38
31b
19
3

stations
1961
23b
22
69
74
48
48
17
9
25b
16
16
8
36b
22
28
36
8
33
0
22
14
8
6
39b
28
10
31
10
15
8
None
33b
45
15
6
3
36b
36
50
8b
85
8
25b
64
68

                         134
 image: 








Figure 36 .   Vegetation Survey, 1967-1969
                                   135
 image: 








Table  22.   Frequency  of occurrence of vegetated samples,  Vegetation Survey,
 1967-1969
                                                Percent transects  vegetated
in
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 1968 Sampling
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 60                                535
   Maryland Wildlife Administration files  1977
 b  Locations correspond  to area delineations  of MBHRL Survey
                                            136
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Migratory Bird and Habitat Research Laboratory (MBHRL)  Survey, 1971  - present

     In response to the need for a data base on SAV in  the Chesapeake Bay, the
U.S. Fish and Wildlife Service Migratory Bird and Habitat Research Laboratory
(in Laurel, Maryland) established a summer sampling program of over 600 stations
within the Maryland Bay estuary.  The objectives of the study were to measure
annual trends in abundance, composition and distribution of SAV; and to deter-
mine major environmental factors that might impact the  vegetation (Kerwin et al.
1975; Munro 1976a[, 1976b).   Sampling started the summer of 1971 and has con-
tinued to the present.

     Based on percent acreage of Bay shoal waters (3.2  or less in depth at
mean low water), sample station locations were distributed  among  26 river
system groups (see Figure 37) plus the Potomac River.    The delineation of areas
based on river systems is not to be interpreted as drainage basins.   Rather,
boundaries were drawn for ease of sampling and data presentation.   Crews returned
to the individual established locations each year; however, an estimated error
factor of approximately 90 meters parallel to the contour was determined to be
acceptable in open areas such as the Susquehanna Flats  (Munro, personal commun-
ication).   At low tide it was occasionally necessary to relocate some stations
up to 180 m.   Samples were run in triplicate with percent composition by species
based on a visual estimate.

     In 1972, the MBHRL Survey included not only the Potomac River but also
portion of the Virginia section of the Chesapeake Bay.    After 1972, these areas
were dropped from the survey until 1977 when sampling of the Potomac was resumed.
Haramis (1977) provided preliminary results of the Potomac stations which have
been included in this document.  Available results for Tangier Island and
Pocomoke Sound (Virginia) have also been included for 1972.  Preliminary results
for 1977 for stations located on the Eastern and Western Shores of the Maryland
Bay are limited to total vegetated stations by river area.  Specific species
results will not be available until after June , 1978.

     Table 24 shows annual percentage occurrence by river system and Table 25
depicts annual percentage occurrence by plant species.   Based on six sampling
years, the following results have been noted (Kerwin et al. 1975; Munro 1976a^,
1976b):

     •  Significantly more vegetation was recorded in 1976 than
        in 1975, though 1976 levels were still only one-half the recorded
        level for 1971.

     •  Widgeongrass, horned-pondweed and redhead grass were the most fre-
        guently recorded species over the six years.

     •  Sago pondweed, eel grass and wild celery continued to be recorded
        infrequently.

     •  Concern had been expressed for the Choptank River after the 1975 survey.
        However, vegetation in the Choptank showed a significant increase in
        1976 over the extremely scarce occurrence in 1975.
                                     138
 image: 








    NAUTICAL  MILES
  0   5   10   15  20  25
Figure37.   River system  sampling areas, Migratory Bird and Habitat Research
Laboratory  Survey,  1971-present
                                    139
 image: 








Table 24.   Frequency of occurrence  of vegetated  samples and  indicated  change
by  river  systems,  Migratory  Bird and Habitat Research  Laboratory  Survey,
1971-19763
Area
code
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26

River system
Elk & Bohemia
Rivers
Sassafras River
Howe 11 & Swan
Points
Eastern Bay
Choptank River
Little Choptank
River
James Island &
Honga River
Honga River
Bloodsworth Is.
Susquehanna
Flats
Fishing Bay
Nanticoke &
Wicomico Rivers
Manokin River
Patapsco River
Big & Little
Annemessex Rivers
Gunpowder & Bush
River Headwaters
Pocomoke Sound
(Maryland)
Magothy River
Severn River
Patuxent River
Back, Middle &
Gunpowder Rivers
Curtis & Cove
Points
South, West &
Rhode Rivers
Chester River
Love & Kent
Points
Smith Island
(Maryland)
Total
1971
% Veg.
6.67
30.00
16.67
34.04
35.00
21.05
44.12
50.00
37.50
44.44
8.00
0
40.00
0
70.00
11.11
18.18
33.33
40.00
2.00
13.64
0
0
61.11
0
64.71
28.53
1972
% Veg.
0
0
0
46.51
39.66
21.05
35.29
40.00
22.73
2.70
4.00
0
46.67
5.00
60.00
0
10.00
0
20.00
4.26
4.55
0
u
36.11
0
45.46
20.98
1973
% Veg.
0
0
0
34.04
19.30
0
2.94
13.33
10.87
0
0
0
13.33
4.76
30.00
0
4.76
16.67
26.67
0
4.55
0
0
26.47
0
25.00
10.49
1974
% Veg.
0
0
0
36.17
27.59
0
5.88
16.66
11.63
13.51
0
0
20.00
9.52
57.89
0

16.66
26.67
4.00
4.55
0
0
23.52
12.50
35.29
14.85
1975
X Veg.
0
0
0
21.74
1.72
0
5.88
10.35
6.98
11.11
0
0
7.14

33.33

15.00
-
-
0
9.09
0
0
25.00
0
22.22
8.70
197fi
% Veg.
0
0
0
42.22
41.07
15.79
8.82
17.24
2.22
8.57
0
0
6.67
9.52
30.00
0
9.09
16.67
46.15
2.04
4.55
0
12.50
26.71
0
35.29
14.97
1977b
* Veg.
0
0
0
28
25
5
3
3
4
11
0
0
20
14
30
11
10
25
20
2
9
0
0
38
0
24
12
Number
71
15
10
12
47
60
19
34
30
40
27
25
30
15
21
20
9
22
12
15
50
22
20
8
36
8
17
624
72
16
10
6
43
58
19
34
30
44
37
25
30
15
20
20
8
20
12
15
47
22
19
10
36
8
11
615
73
16
10
12
47
57
19
34
30
46
37
25
30
15
21
20
7
21
12
15
50
22
19
10
34
8
12
629
of stations
74
16
10
12
47
58
19
34
30
43
37
25
31
15
21
19
9
0
12
15
50
22
19
8
34
8
17
611
75
16
10
12
46
58
19
34
29
43
36
24
30
14
0
18
0
20
0
0
47
22
6
8
36
8
17
552
76
16
10
12
45
56
19
34
29
45
35
25
30
15
21
20
9
22
12
13
49
22
21
8
35
8
17
628
77
16
10
12
47
60
19
34
30
46
37
25
31
15
21
20
9
22
12
15
50
22
21
10
36
8
17
645
 j> U.S. Fish and Wildlife Service Migratory Bird and Habitat Research Laboratory files 1977
 ° Preliminary results (Stotts, personal communication)
                                          140
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     •  Vegetation in the Bloodsworth  Island area  was  at  the  lowest level
        recorded during 1976.

     •  Salinities decreased significantly over the  upper Bay averaging:

                            1971       15.441  ppt

                            1972        9.663 ppt

                            1973       10.371  ppt

                            1974       13.490 ppt

                            1975       10.956 ppt

                            1976        8.487 ppt

     •  Secchi disk readings were taken from 1972  through 1976 and showed a
        small overall increase, indicating greater light  penetration.

     •  Preliminary results from  the 1977 survey indicate that the total
        number vegetated stations decreased about  2  percent from the 1976
        count.

     MBHRL data related to individual  species are  presented in Chapter 1  in the
write-ups of the SAV species common to the Bay.  The increase in light penetra-
tion documented by the MBHRL Survey is not consistent  with the commonly held
notion that the Bay is becomming  more  turbid.  Chapter 4  discusses the problems
and inconsistencies related to assessing turbidity.

Milfoil Survey, 1957-1977

     In the late 1950s, in response to a growing concern  and  a need for infor-
mation concerning the infestation of Eurasian watermilfoil (Myriophyllum
spicatum) a network was formulated among various scientific organizations in
the Chesapeake Bay area.  Over a  20-year period, the various  organizations
involved in documenting the milfoil story included:   Chesapeake Bay Laboratory
(University of Maryland), The Johns Hopkins University, U. S. Fish and Wildlife
Service Migratory Bird Habitat Research Laboratory,  Maryland  Wildlife Administra-
tion and the Maryland Department  of Chesapeake Bay Affairs.  Numerous adminis-
trative reports, lectures, progress reports and survey data are available through
these various organizations.  For ease of presentation, these data have been
compiled in this report as a general Milfoil Survey.

     Though the milfoil work w,as  begun to study only Myriophyllum spicatum,
other species were documented.  Myriophyllum infestations had such a negative
impact on indigenous SAV that it  was necessary to study submerged aquatic species
in general.  Though the years, many techniques were utilized  for sampling.
However, for the purposes of this document, only general  qualitative results
have been included.  SAV documentation data from portions of  the 20 years of
surveying have been compiled by the various organizations into several reports
that deal with observations by river system.  These observations have been


                                     142
 image: 








included in the conclusion section of this report and have been correlated with
the results of the other surveys.

South River, 1961

     Philipp and Brown (1965) studied the distribution of SAV in two transi-
tional areas of the South River for 1961.  One area was near the mouth of the
river in a small cove on the southeast side of Lime House Cove.  The second
site was just north of the Route 50 bridge.  Samples were taken at both sites
along transect lines and both plant species and bottom sediment were noted over
an eight year period.

     Elodea canadensis dominated the northern site near the head of the river,
though relative abundance was considered sparse.   Bottom sediment was found
to be muck/clay.  The south site near the mouth of the river was dominated by
Potamogeton perfoliatus mixed with some Ruppia maritima and Myriophyllum
spicatum.  This latter species and P_. perfoliatus dominated the deeper areas of
the cove (1.5 m maximum).  Dense masses of Elodea nuttalli and £. perfoliatus
were observed at the surface.  Sediments at this Icoation were mainly sand with
some sand/muck.

     Philipp and Brown surveyed these two areas in the South River for a single
year in order to study species dominance, salinity, temperature and various
other water quality parameters.  Their results have been included in order to
document SAV presence for 1961.

Rhode River, 1966-1973

     Southwick and Pine  (1975) surveyed SAV in the Rhode River starting with
preliminary observations in the early 1960s and continuing with extensive field
surveys from 1966 to 1973.  Middle and Back Rivers were included for some of
the field surveys.

     Surveys were made during the summer months, concentrated in June and July,
by traversing the shoreline to cover the area within the .6 to 1.2 m depth range
at mean low water.  Results were plotted on maps for area! interpretation.
Table 26 depicts annual abundance for Rhode River in both hectares and indices
of abundance (see explanation at bottom of Table 20).

     From observations and data over the survey's eight years, Myriophyllum and
P_. perfoliatus showed the most pronounced fluctuations in abundance.  The latter
species plus Ruppia and P_. pectinatus disappeared entirely in 1970 though within
the next two years made at least a partial comeback.  The eight year period
however, showed a general though erratic downward trend for all species.

Bay Bridge Tidal Pond, 1972-1975

     From 1972 to 1975, James R. Goldsberry of the Maryland Wildlife Admini-
stration surveyed the submerged vegetation of the tidal pool that was created
at the east end of the Chesapeake Bay Bridge when the second bridge span was
constructed.  Covering about 4 ha, the fill area provided an opportunity to
observe the natural succession of SAV into an essentially new area.  Transects
                                     143
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were run the length of the pond and samples were taken at depths  from 15 to
100 cm.  Bottom composition was found to be generally soft muck with occasional
sand or rock.

     The first year, 1972, the pond yielded Ruppia maritime,  Potamogeton
perfoliatus and Myriophyllum spicatum.    The second year showed no new species
invaders4   By the third year, Potamogeton pusillus and El odea canadensis were
found along with the three species represented in 1972.   By 1975, no new species
beyond the five already present were found.

     In the summer of 1977, lush aquatic growth was again present and monitored
by the Maryland Wildlife Administration.  Significant increases in El odea were
noted in July of 1977 along with extensive beds of P_. perfoliatus, scattered
Myriophyllum and a trace of P_. pectinatus (Jayne, personal communication).  The
increase in the pond SAV that has been  observed since 1972 compared to the docu-
mented decline in SAV in the Bay deserves further study.   The lane that drains
into the pond is vegetated with grass and receives maintenance by state crews.
Therefore, it is microwatershed where there is little fertilizer  input (Bridge
Authority personnel, personal communication) but where herbicides (dalopon and
amitol-t)  have been sprayed for control of Phragmites around  the  pond.  Also, it
does have high turbidity from carp populations which are capable  of stirring up
bottom sediments (Stotts, personal communication).

Marshy Creek, 1975

     The files of the Maryland Wildlife Administration contain a  study of Marshy
Creek, south of Kent Narrows surveyed by James R. Goldsberry  on July 7, 1975.
Documentation was made of the following species:  Potamogeton perfoliatus,
Myriophyllum spicatum, Najas guadalupensis, Ruppia maritima,  Chara sp.,
Zannichellia palustris and El odea canadensis.

     Potamogeton perfoliatus and M_. spicatum were found primarily in the main-
stream of the creek.  The inlets off the creek included some  of these species
but were predominantly populated by Ruppia, Chara sp. and Najas.   This study
has been included in order to further document species occurrence for the
Eastern Bay area.

Eastern Bay Survey, 1976

     During the summer of 1976, George  H. Fenwick, The Johns  Hopkins University,
surveyed SAV in the Eastern Bay.  The survey was part of a joint  program initi-
ated by the Chesapeake Bay Foundation,  The Johns Hopkins University waterfowl
research group and the Youth Conservation Corps.

     The survey was based on a system of random   transects located about 122
shoreline meters apart and extending about 55 m perpendicular to  the shore.
Sampling stations were located at seven intervals along the 55 m  transects.   A
total of 2,192 stations were sampled in the Wye River and tributaries; Miles
River and tributaries; Kent Island; Rich Neck, including Claiborne Harbor; and
from Kent Narrows Bridge to Bennett Point.  The survey spanned the time between
June 28 and August 27, 1976.  The various parameters analyzed included: percent
occurrence, biomass, plant height, substrate and visual  estimates of ground cover.


                                     144 a
 image: 








     All submerged vascular species of concern to this technical  document were
found in the study area, with the exception of Chara spp.  Results of the survey
include:

     •  57.4 percent of the total number of stations were vegetated

     •  48.3 percent of the total stations had 10 percent or more ground cover

     •  24.2 percent of the total stations had abundant cover

     •  The Wye River was the mqst heavily vegetated area studied

     *  Ruppia maritima generally was considered to be dominant,  occupying
        52.7 percent of the total biomass

     •  £_. pectinatus was determined to be least common, with 4.0 percent of
        the total biomass

     '  Zannichellia died back in mid-July

     •  P_. pectinatus was observed to die back in mid-August

     •  Ruppia increased in occurrence over the survey time span

     This survey has been continued by the same joint effort though results are
not available at this time for 1977.

Chesapeake Bay Center for Environmental Studies (CBCES) - 1976-1977

     CBCES (Smithsonian Institution) is presently studying the decline of sub-
merged aquatic vegetation in selected  areas within the Chesapeake Bay (Correll
et al. 1976^, 1976b, 1977).  The study is based on testing correlations between
plant die-offs, turbidity and herbicides.  Station locations in the Rhode,
Choptank and Severn Rivers and the Poplar Island area are being sampled for SAV
populations, phytoplankton levels, turbidity of surface waters, suspended parti-
culates in surface waters, bottom sediment characteristics and herbicide levels.
Study objectives include analyzing the filtered water, suspended  particulates
and bottom sediments for atrazine, alachlor, linuron and trifluralin.  Specific
results of the field and bioassay work with Zannichellia palustris and herbicides
are discussed in Chapter 4.

     Field surveys have documented SAV populations at established station »
locations throughout the four areas for 1976 and 1977.   Results  from the 1976
survey have been included in the conclusion section of this chapter.

Virginia Institute of Marine Science Surveys

     Submerged aquatic vegetation in the waters of the Virginia portion of the
Chesapeake Bay is essentially the history of Zostera marina.  Several other
species have been documented; however, the majority of the available information
on Virginia waters has resulted from the work of Robert Orth (VIMS) who has
                                     145
 image: 








limited his research primarily to Zostera.   The following section  was  written by
Orth and is submitted here as documentation of the history of Z^ marina in
Virginia.

     Robert Orth.    In Virginia,  eel grass  has  been abundant on the Western Shore
in the York, Rappahannock and Piankatank Rivers, Mobjack Bay and its  tributaries,
Back and Poquoson  Rivers, Poquoson Flats area, Fleets  Bay to the Potomac River
and on the Eastern Shore from Cape Charles  to  Tangier  Sound.   The  first indica-
tions of a major decline came in  the fall  of 1973 (eelgrass had been  abundant
that summer) though some local people reported eelgrass  declined in the low
salinity regions of the estuary in 1972 after  Tropical  Storm Agnes.  By 1974,
virtually all the  eelgrass in the York, Rappahannock and Pinakatank rivers was
gone with significant declines in other areas  (Table 27, Figure 38 and 39).
(Eastern Shore was not surveyed in 1974) (Orth and Gordon 1975; Orth  1976).

     Table 27.  Estimated total coverage of submerged  aquatics for major
     Virginia sections of the Chesapeake Bay,  1971 and 1974a
Major Areas
Back River
Plum Tree Island area
Poquoson Flats
Poquoson River
Crab Neck and Goodwin
1971
(ha)
144.9
868.2
233.8
66.1
306.7
1974
(ha)
211.9
466.5
59.9
111.7
219.4
       Islands

     York River                      493.1                    140.8

     Mobjack Bay                    1293.9                   1592.6

     New Point Comfort to            168.4                    233.0
       Pototo Neck

     Gwynn's Island area             266.8                     43.3

     Piankatank River                306.9                     21.2

     Rappahannock River              699.6                      3.6

     Fleets Bay                       ---                    197.6

     Hampton area                     —                      7.2
     aOrth and Gordon, 1975
                                    146
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                     ARC* 29,1937   G,OUCESTER
                              \ POINT
Figure  39.   Distribution of Zostera marina,  Middle York  River,  1937-1975
                                     150
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Figure 39.   (continued)
                                    151
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     Recolonization by eelgrass  occurred  in  some  areas  in  1974  via  seedlings  and
some vegetative growth but,  in general, eelgrass  density in  these areas was very
low.  In the late summer of  1975 eelgrass experienced a massive defoliation in
all areas of the lower Bay but by 1976, areas  that  had  eelgrass in  1975 main-
tained some viable populations.   There were  some  areas, for  example in the
Mobjack Bay, that had a reduced  density of eelgrass  compared with 1975 (Orth,
personal observation).  The  regrowth  during  this  period appeared to be from old
rhizome stock.

     Eelgrass has undergone  major fluctuations in the past in the Chesapeake  Bay,
the most widely publicized decline being  the one  that occurred  in the 1930s
(Burkholder and Doheny 1968; Cottam and Munro  1954).  Eelgrass  had  reportedly
undergone changes in abundance in 1854 and 1889 to  1894 (Cottam 1934^, 1935b).
Following the 1930s decline  when apparently  most  of the eelgrass died back in
the Bay, recovery of many eelgrass beds appeared  to begin  immediately.  Two
areas in the York River, Mumfort Island and  the mouth of the York River,  where
the most intensive work on eelgrass beds  in  Virginia has occurred (Marsh  1970,
1973, 1976; Orth 1971, 1973, 1975^, 19755., 1976,  1977a., 1976bj  Orth and Gordon
1975) were chosen for documentation of recovery since the  1930s.  Aerial  photo-
graphs obtained from the Department of Agriculture,  National Oceanic and  Atmos-
pheric Administration (NOAA) and VIMS showed a major increase between 1937 and
1953 with subsequent increases from 1953  to  1971.  There appeared to be some
decline between 1960 and 1971  at Mumfort  Island (see Figures 38 and 39).  The
distribution of eelgrass in  1977 for these areas  is very similar to that  of 1974.
(Coverage for 1976 showed the  distribution very similar to 1977).

     It is interesting to note that the distribution of eelgrass in 1974  is
quite similar to the distribution of eelgrass  in  1937.  The  disappearance of
eelgrass beginning in 1973 and past periods  of decline  in  1854, 1889 to 1894
and 1931 to 1932, suggest that there may  be  a  natural cycle  of  eelgrass decline
every 40 years with local minor fluctuations superimposed  on this major decline.

     Walter I. Priest, III.    The following  documentation  of SAV is the result
of field observations made in  the Rappahannock and  Piankatank Rivers and  their
tidal tributaries in Middlesex County, Virginia.  These observations were made
during an inventory of tidal wetlands performed by  the  Virginia Institute of
Marine Science.  The shorelines  of the above rivers and all  of  their tidal tri-
butaries were investigated by small boat  during the months March to July, 1977.
The species encountered included:  Zannichellia palustris, Zostera  marina,
Ruppia maritima and Potamogeton (epihydrus ?).

     Z_. palustris was most common in the  tributaries of the  Rappahannock  River.
However, it was also encountered in several  areas in the river  proper plus the
Piankatank River and its tributaries. Rappahannock River  salinities in these
areas vary from 7 to 13 ppt.  Salinities  in  the individual creeks were not
measured.  The habitats in which _Z. palustris  produced  the largest  and most
prolific stands were the shallow areas at the  heads of  tidal creeks. The sub-
strate in these areas was usually loose silty  mud.   The stands  of Z,. palustris
growing in the river proper  were usually  much  sparser and  not nearly as tall  as
those growing in the headwater areas. The substrate in the  river was most always
sand.  The localities of occurrence are as follows  and  unless otherwise noted
                                      152
 image: 








the observed distribution was restricted to the heads of the creeks indicated
(see Figure 40);

           Mason's Mill Swamp          Meachims Creek, west of mouth in river
           Mud Creek                   Greys Point, in river
           Parrotts Creek              Locklies Creek, near mouth
           Weeks Creek                 Parrott Island, in river
           Lagrange Creek              Bush Park Creek
           Urbanna Creek               Piankatank River between Horse Pt.  and
           Whiting Creek                          Glebe Neck
                                       My Lady's Swamp near head on Piankatank
                                                  River

     The distribution of Ruppia maritima was apparently restricted to the  lower
reaches of the Rappahannock and Piankatank Rivers.  Several large stands were
observed near the mouth of Sturgeon Creek.  It was also found growing in mono-
specific stands and mixed with Zostera marina on the offshore flats from the
mouth of Broad Creek around Stingray Point and up to the mouth of Jackson  Creek
near the mouth of the Piankatank River.  In addition, IR. maritima was found
growing in several tidal ponds along the Rappahannock River including one  near
the mouth of Mill Creek and the two east of Duck Pond.

     Zostera marina was observed in dense stands and in association with
R_. martima on the offshore sandflats from Broad Creek around Stingray Point to
O.ackson Creek.  A broad floating-leaved pondweed tentatively indentified as
Potamogeton (epihydrus ?) was encountered at the heads of Mason's Mill Swamp and
LaGrange Creek near the upper limits of tidal influence in essentially fresh
water.

Herbarium Survey

     Herbaria in the vicinity of the Chesapeake Bay have provided some informa-
tion as to historic occurrence of SAV.  The data does not allow for interpre-
tation as to abundance or absence, but does indicate SAV presence as of the
specimen date.  Documentation pertaining to the dominant submerged aquatic
species in the Bay was collected from the following herbaria:

         University of Maryland, College Park, Maryland
         Towson State University, Towson, Maryland
         Smithsonian Institution, Washington, D.C.
         Clyde Reed, (private collection)
         Chesapeake Biological Laboratory, Solomons Island, Maryland
         U. S. Fish and Wildlife Service Migratory Bird Habitat Research
               Laboratory, Laurel, Maryland

     The Smithsonian Institution herbarium contains the major holdings of
submerged aquatic species in the Chesapeake Bay area.  Virginia herbaria were
not included in the survey due to time and distance problems.

     Documentation of plant specimens has been organized along the format  of
the river system groupings of the MBHRL sampling program.  These observations
are included in the conclusion section at the end of this chapter.


                                     153
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Personal Communications

     Just about everyone who has lived around the Chesapeake Bay in his/her
life has a remembrance of submerged aquatic vegetation.   Often, the story is
of an unpleasant association:  fouling of boat props, overgrowth of swimming
areas, noxious odors or decaying wind rows, etc.   But many of the associations
have been pleasant:  increased number of waterfowl for hunting, good fishing
and crabbing areas, etc.  Thus, the relationship between humans and SAV has
been erratic and personal, a pleasure/pain existence.

     Time does not permit the research necessary to extensively document this
relationship with first hand accounts.  Also, such documentation would be of
questionable value to a scientific data base on SAV in the Chesapeake Bay since
memories are often faulty.  However, in the course of the research effort for
this technical document several knowledgeable and aware individuals have been
contacted and interviewed.  Summaries of these interviews are included in this
section.

     Francis^ Uhler. MBHRL, January 10, 1977.  Mr. Uhler speaks at length of
his 50-plus years of observations in the Chesapeake Bay area.  His ready recall
of observations made in the late 1920s is as instantaneous as his 1977 recall.
Though most of his work has been along the Potomac River, his research has taken
him over most of the Maryland portion of the Bay at one time or another.  Uhler
has amassed thousands of photographic slides taken since the 1930s.  These
slides are presently being indexed and hopefully will be available sometime in
the future.  The historic documentation that could be provided by Uhler's slide
collection would be invaluable to a general data base on SAV.

     Some observations made by Uhler concerning his many years in the area
include:

     •  In Goose Bay (Port Tobacco River), Potomac River beds of Vallisneria
        amerjicana were visible in 1976-1977 but greatly reduced from beds
        present in the area in 1927.  Marina dredging and algal blooms have
        greatly changed the area.  Port Tobacco River marinas have drastically
        impacted the Vallisneria beds.

     •  In 1976, windrows of Vallisneria were seen along the banks of Popes
        Creek and Persimmon Point, Potomac River.

     •  Luxuriant growths of Ruppia, IP. pectinatus and Vallisneria were seen
        in the Potomac River prior to the 1931 drought.  Vegetation returned
        only in pockets.

     •  In the Blackwater Wildlife Refuge and Honga River area P_. pectinatus
        and Zostera marina were seen prior to Agnes.  Species of Chara common
        to the area included C_. geobularis, C^. braunii, £. zeylam'ca and £.
        hornamanii.

     •  Heavy beds of P_. pectinatus and Zostera were decimated by a bryozoan
        4 to 5 years ago in Trippe Bay.
                                     155
 image: 








    •   In the Wye Narrows where P.  pectinatus  was  abundant 5 years  ago,
       there is none.

    •   Canvasback stomach studies from the Nanticoke River presently show
       only invertebrate  material.   The area  is  presently too turbid for
       SAV.

    •   Gullet and stomach studies on Canvasbacks  have shown that this
       species has switched to an animal diet  of  Rangia,  Macoma and Corbicula

     Earl Abey, Waterman. May 27, 1977.   Earl  Abey has lived at Green Point for
over 50 years; his front porch is approximately 9  meters off the Choptank River.
"Up until 1970, the river in front of the house was like  a wheat field,  it was
so green," remembers Abey.  Most of the Choptank  was like that, with seasonal
SAV blooms protruding from the surface.   In September, the vegetation normally
broke off at the rhizomes and floated in large masses to  shore.

     Dr. Eugene Cronin went out on the Choptank with Abey in 1944.   At this
time Abey remembers extensive vegetation stands.   Up until 1970, he used to cut
channels for his boats to get out,  but today he goes out  to the docks and sees
only a sprig or two.

     Compared to other areas of the Choptank,  Green Point is secluded and
therefore protected.  During the summer an algal  and scum layer would stagnate
above the rooted aquatics.  Abey feels that with  the decline in vegetation, he
receives more wave activity near his docks.

     Abey attributes the vegetation decline to herbicides runoff from farmland.
He remembers an example of herbicides affecting vegetation control  some  20 years
ago when someone put a gallon of herbicide ina pond near his house.  Vegetation
has never returned.

     Even though rooted aquatics have declined, Abey finds that crabs are still
abundant in the deeper waters.  However, he does  not know how the vegetation
loss will affect the seafood population in the long run.


CONCLUSIONS

     In order to synthesize the diverse data sources (surveys, specimens,
personal communications, etc.) into a more logical  and simplistic structure the
river system delineations utilized in the MBHRL study will serve as an organi-
zational format.  This areal partitioning of the  Maryland portion of the
Chesapeake Bay has been previously shown in Figure 37.  Data for the Potomac
River includes both the Maryland and Virginia sides of the River.  Virginia
vegetation documentation is listed by major river systems.  Table 28 provides a
source key for following historic documentation tables.

Area 1.   Elk and Bohemia Rivers

     The first documentation of SAV in the Elk and Bohemia Rivers dates  back
to 1955 herbarium specimens of P_. perfoliatus, Vallisneria and El odea


                                     156
 image: 








Table 28.   Historic documentation key

(A)    Anderson et al.  (1967)
(B)    Benthic Survey
(CB)   Chesapeake Bay Center for Environmental  Studies
(E)    Elser (1969)
(EC)   Ecological Analysts, Inc. (Pine, personal  communication)
(F)    Eastern Bay Survey (Fenwick, unpublished)
(G)    Marshy Creek Survey
(H)    Herbarium specimen
(HP)   Horn Point Environmental Laboratories
(M)    Milfoil  Survey
(MB)   MBHRL Survey (Kerwin et al. 1975; Munro 1976a_, 1976bj
(0)    Orth, VIMS
(P)    Pine, personal observation
(P&P)  South River Survey (Philipp and Brown 1965)
(RS)   Stewart (1962)
(S)    Susquehanna Flats Survey (Bayley et al.  in press)
(SO)   Southwick (1967-1969)
(S&P)  Rhode River Survey (Southwick and Pine 1975)
(U)    Uhler, personal  observation
(V)    Vegetation Survey
(VS)   Stotts, personal communication
(WP)   Priest, VIMS
                                     157
 image: 








 (see  Table 29). Documentation  through the 1960s and  until  1971 indicates the con-
 tinued  presence of five species.    However, since 1971,  no plants have been
 observed  by the MBHRL Survey.   P_.  perfoliatus has not  been documented since
 1962  and  El odea since 1969.  Milfoil  Survey personnel  (1970-1971) found SAV
 growth  to be diversified but sparse and limited to indentations in the lower
 part  of the Elk River and the  upper reaches of Veazey  Cove, Bohemia River.
 Channel deepening in the Elk River and C & D Canal resulted in a heavy silt
 load  that was readily apparent in  August of 1969.  No  vegetation was observed
 in  the  turbid waters of Cabin  John Creek below the Bohemia River.

      Table 29.  Historic documentation of SAV by decades,  Elk and Bohemia
      Rivers, Maryland (Area 1)
               Species
             Potamogeton
             perfonatus

             CeratophyTlum
             demersum

             Myriophyllum
             spicatum
             Zannichellia
             gal ustri s

             VaTlisneria
             americana

             El odea
             canadensis
              Chara spp.
                           1950
                                      1960
                                                      1970
1955(H)    1962(H)
1955(H)


1955(H)
         1961,1969(M)
         1961,1967-1969(M)
         1963,1968(H)
         1969(V)
1961,1969(M)
1969(V)

1961,1969(M)
                                   1961,1969(M)
                                   1968(H)

                                   1969(V)
                1970-197KM)


                1970-1971(M)



                1970-1971(M)
1970-1971(M)
1971(MB)
                          1970-1971(M)
Area  2.    Sassafras River

      Herbarium specimens date  back to 1947 and 1952  for the Sassafras  River
(see  Table 30).  During the  1960s, survey teams documented a total of  seven
species.   Elser (1969) reported  extensive stands of  Myriophyllum, Ceratophyllurn,
Vallisneria, P_. crispus, El odea  and Najas in the Sassafras River and its  tribu-
taries  in the early 1960s.   By 1966, vegetation seemed to be limited to the
tributary mouths and the lower central portions.   Beds have previously been
seen  in intertidal areas plus  the upper parts of the tributaries and from the
shore out 6 to 15 m.  In 1967, Elser observed what he termed the "Rhode River
Evanescence" when only a few  sparse SAV beds were found.  Vallisneria and
Ceratophyllum displayed a growth resurgence after the decline in Myriophyllum;
however,  abundance levels never  seemed to reach prior levels.
                                        158
 image: 








     Table 30.    Historic documentation  of SAV by decades, Sassafras River,
     Maryland  (Area 2)
                 Species
                          1940
                                  1950
                                             1960
                                                            1970
               Potamogeton   1947(H)    1952(H)    1968-1969(M)
               perfollatus
               Myriophyllum
               spicatum
               Vallisneria
               americana
               Elodea
               canadensis
               Chara spp.

               Ceratophyllum
               demersum
        1960s(E)
        1961(M)
        1965(H)
        1969(V)

1952(H)   1960s(E)
        1961,1969(M)
        1969(V)

1952(H)   1961,1969(M)
1952(H)   1960s(E)
        1961, 1969(M)
        1969(V)

        1969(V)

        1960s(E)
        1961,1968-1969(M)
1970-1971(M)
1971-1974(MB)
                                                         1970-1971(M)
                                                         1971(MB)
     Experimental  herbicidal control  measures were used in  Revuques Pond and
Shellcross embayments in 1968 for Myriophyllum control.   In  Revuques Pond, the
experiment was  considered to be 95  percent effective and  resulted in dominant
growth of Najas in 1969.  In the Shellcross embayment, Myriophyllum control
resulted in  the dominance of Vallisneria in 1969.

     The 1970-1971 Milfoil Survey found Myriophyllum to be  dominant in several
embayments along the southern shore of the Sassafras River.   Some resurge in
growth of Vallisneria was noted in  Shell cross embayment and  along the northern
shore.  Nothing but sparse vegetation had been observed in  Cox,  Freeman Island,
Woodland and Dyer Creeks since 1966.   In 1967, the water  in  these creeks was
observed to  contain a heavy silt load and plankton blooms.   In Turner, Money
and Foreman  Creeks, the water was also clouded by a heavy silt load and only
scattered SAV beds were noted.

Area 3.  Howell and Swan Points
                                                                               t
     A Ruppia herbarium specimen from 1907 is the first documented SAV species
listed for Howell  and Swan Points (see Table 31).  By the 1960s, three survey
terms had documented nine aquatic species.  Milfoil Survey  personnel surveyed
Still pond Creek and found sparse growths of Vallisneria in  1970, substantial
Vallisneria  in  1971 and a seeming reinvasion of Myriophyllum during 1970 and
1971.  The MBHRL Survey found good  growths of Vanisneria and traces of
Myriophyl1 urn in Stillpond Creek in  1971.  There has been  no  documentation of any
vegetation in Stillpond Creek or in the rest of Area 3 since 1971 with the ex-
ception of Stotts  who noted dense beds of what may have been milfoil in the
lower portion of the creek.  These  beds were noted on November 14, 1977, during
an aerial survey of Canada geese.
                                       159
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      Table  31.    Historic  documentation  of  SAV  by decades,  Howell  and  Swan
      Points,  Maryland  (Area  3)
                   Species
1900
1940
1960
1970
Potamogeton
perfoliatus
Ruppia 1907(H)
maritima
Myrlophyllum
spicatum
P. pectinatus
Vallisneria
americana
ETodea
canadensis
Najas spp.
Chara spp.
Ceratophyl 1 urn
demersum

1961(M)
1965-1969(M)
1969(V)
1965,1969(M)
1969(V)
1961(B)(M)
1965,1969(M)
1969(V)
1969(V)
1947(H) 1961 (B)(M)
1965,1969(M)
1969(V)
1965(M)
1969(V)
1947(H) 1961(B)
1969(V)
1969(V)
1969(M)
1971(MB)
1970-1971(M)
1971(MB)
1970-1971(M)
Area 4.   Eastern Bay

     Percentages figures from the MBHRL Survey showing number of stations with
vegetation indicate a fairly steady total population over the six years  (see
Table  24).  Ruppia remained dominant and a strong resurge in growth seemed  to
have taken place between the 1975 and 1976 summer samplings.  Trace amounts of
£. perfoliatus, Myriophyllum and Zannichellia were found in 1976 and P_.  pectinatus
and El odea were documented in occasional patches.

     Frank Pine, then a graduate student at The Johns Hopkins University, sur-
veyed the Miles River from 1971 through 1974 (Pine, personal communication).
Ruppia, P_. pectinatus, P_. perfoliatus and Zannichellia were documented for  all
four years around Claiborne, Rich Neck and Long Point.  All species occurred
throughout the four years though a definite decline in abundance was noted  by
1974.

     Pine surveyed Parsons Island in Eastern Bay in May, 1974, and found
IP. pectinatus to be extremely abundant.  The beds seemed to be at absolute
maximum production with some plants up to 1.8 m in length.  By 1975, vegetation
appeared to be considerably less.   In August and September, 1974, Pine surveyed
the Horse Head Farm area.  Populations were mixed: _P. perfoliatus was the most
common throughout the shorelines; Ruppia was common to occasional; and Elodea
was found occasionally.  Myriophyllum was determined to be locally abundant to
occasional on the north side of the island.  Zannichellia was not seen, probably
                                     160
 image: 








due to its normal die-back in July.  P. perfoliatus was observed to have com-
pleted its seed production and startecTto decline.  Ten species of SAV have
been documented continuously from 1961 to 1976 in various portions of Eastern
Bay and its tributaries (see Table 32).

     Table 32.   Historic documentation of SAV by decades, Eastern Bay,
     Maryland (Area 4)
                           Species
                                      1960
                                               1970
Potamogeton
perfoliatus
Ruppia
maritima
Myriophyllum
spicatum
Zostera
marina
P. pectinatus
Zannichellia
palustris
El odea
canadensis
Chara spp.
Najas spp.
Cera tophy Hum
demersum
1961(M)
1960-1961(8)
1960-1962(H)
1968(V)
1961(M)
1960-1961(8)
1962(H)
1968(V)
1961(M)
1968(V)
1960-1961(8)
1961(H)
1968(v)
1961{B)(M)
1968(V)
1961(M)
1968(V)
1961(B)(M)
1968(V)
1961(M)
1968(V)
1961(M)
1961(M)
1973(H)
1971-1976(MB)
1975(G)
1976(F)(P)
1973(H)
1971-1976(MB)
1975(6)
1976(F)(P)
1976(F)(P)
1972(H)
1972-1974, 1976(MB)
1975(G)
1971-1972, 1975(MB)
1976(F)
1972-1974, 1976(MB)
1976(F)(P)
1972,1976(MB)
1975(G)
1976(F)(P)
1972-1974, 1976(MB)
1975(6)
1976(F)(P)
1975(G)
1975(G)
1976(F)
1976(F)
     From June 28 to August 27, 1976, Fenwick (unpublished) surveyed the Wye
and Miles Rivers, Kent Island, Rich Neck and Kent Narrows Bridge to Bennett
Point.  Ruppia was the dominant species in the Miles River, Zannichellia
dominant in the Wye River, P_. pectinatus most common at Rich Neck and
£.• perfoliatus dominant at Kent Island.  Other species documented included
Elodea, Najas, Myriophyllum, Vallisneria, Ceratophyllum and Zostera.

Area 5.   Choptank River

     In the 1930s, four species of SAV were documented by herbaria (see Table
33).  Of these four, only Vallisneria has not been found by recent survey teams,
Vallisneria was last documented in 1968 at only 1 out of 146 sampling stations
during the .Vegetation Survey.

     In surveying for waterfowl populations in the 1950s, Stewart (1962) ob-
served what he termed to be "fair" beds of Zostera along with Ruppia and
P_. pectinatus growing in the open estuarine bays of the lower Choptank.  The
                                      161
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 upper estuarine bay of the Choptank supported El odea,  Ruppia and P_.  pectinatus.
 Observations of submerged aquatic plants from selected locations eTlong the     "
 Choptank River have been made by Horn Point Environmental  Laboratory personnel
 from 1974 to present.   In 1974 dense populations of  Zannichellia were found in
 the  marsh embayment of Horn Point (Stevenson, personal  communication).  In 1975,
 several  researchers noticed severely reduced populations of submerged aquatics
 in the lower Choptank where they had existed previously (Jones  and Krantz,
 personal  communication).  In June 1976 surveys were  made of Trappe Creek and
 LeCompte  Bay.   ZannichelUa and Myriophyllum were found in great abundance
 with a mixture of other species.

      Table 33.   Historic documentation of SAV by decades,  Choptank River,
      Maryland (Area 5)
Species
Potamogeton
perfoliatus
Ruppia
maritima
Myriophyllum
spica turn
Zostera
marina
£. pectinatus
Zannichellia
palustris^
Vallisneria
1930 1940
193§(H)
1939(H)

1939(H)
1933(H)
1950
1959(B)a
1950s(RS)
1959(8)

1950s (RS)
1950s (RS)

1960
1961(8)
1968(V)
1961(B)
1968(V)
1969(V)

1961(B)
1968(V)
1969{V)
1969(V)
1968(V)
1970
1970(H)
1971-1976(MB)
1977(HP)
1971-1976(MB)
1976-1977(HP)

1971-1972(MB)
1977(HP)
1971-1973(MB)
1972,1976(MB)
1974-1977(HP
               americana

               Elodea
               canadensis
1940(H)
1950s(RS)  1961(B)
       1968(V)
1971-1974,1976(MB)
1977(HP)
               aThe 1959 Benthic Survey listed Potamogeton sp. by genus only.
     In early March  (1977),  just after the ice disappeared, Myriophyllum was
identified in Trappe  Creek with  no other species appearing for about  five weeks.
The green Myriophyllum  sprigs  evidently had overwintered intact under the severe
winter ice.ZannicheTlia then started becoming the dominant species  in  the Horn
Point area (especially  thick around Todd Point), primarily growing  by seed ger-
mination.  Commonly mixed with the Zannichellia were patches of P_.  perfoliatus
and occasional growth of Elodea.    The Zannichellia started going" to  seed the
first weeks of June,  and the P.  perfoliatus soon after.  In late June Zostera
and Ruppia were found in the Todd Point area where the Zannichellia had  suddenly
died back.  In Trappe Creek  new  growth of Myriophyllum and P_. perfoliatus was
observed (Cunningham, personal communication).
                                      162
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Area 6.   Little Choptank River

     Stewart (1962) surveyed the Little Choptank  in  the  1950s  and found
P_. pectinatus along with unnamed salt-water species.   Ruppia  was found doc-
umented 97 percent of vegetation survey transects  in  1968,  Zostera was  found
at 80 percent and £_. pectinatus showed up at almost  50 percent of the 65
transects sampled.  Though the MBHRL Survey documented no vegetation during
1973 to 1975, Ruppia was found prior to 1973 and  also in 1976  in  Phillips
Creek and off Smith Cove.

     Table 34.   Historic documentation of SAV  by  decades,  Little Choptank
     River, Maryland (Area 6)
          Species
           1930
           1950
1960
1970
       Potamogeton
       perfoliatus
        Ruppia
        maritir
ma
       Zostera
       marina

       P.. pectinatus
                    1960(B)
                    1968(V)

1931(H)              1960(B)
                    1968(V)

                    1960(B)
                    1968(V)

          1950s(RS)  1968(V)
         1971-1972,1976(MB)


         1971(MB)


         1971-1972(MB)
     Zostera was documented in  1971 at one  station  off McKeil  Point along with
P_. pectinatus.  The following year no vegetation was  found at  that station.
Trace amounts of P_. pectinatus  were noted in  1972  in  the  area  of Slaughter and
Parsons Creeks.  The same year, a substantial   growth of  Zannichellia was docu-
mented in Phillips Creek, associated with Ruppia.

Area 7.  James Island and Honga River

     Zostera and Ruppia historically have dominated the waters around James,
Hooper and Taylor Island until  1972 (see Table  35).   Though a  decline in per-
centage occurrence of Ruppia was noted by MBHRL found 1971  to  1976, the species
remained in the area in contrast to Zostera.  This  latter species was found to
be abundant in 1971 at 41 percent of the 34 stations  sampled.   By the following
year, only 3 percent of the same stations showed Zostera  and no Zostera was
found from 1973 to 1976.

     Stewart (1962) surveyed Tar Bay in the 1950s.  He recorded P_. pectinatus
as one of the principal species of SAV.  Elser  (1969) visited  Tar Bay in July
of 1967 and observed an extensive, dense stand  of  Zostera that he estimated to
cover several thousand acres.   Ruppia appeared  to  be  subdominant.  During the
following month, Zostera appeared to succumb to  a disease  and slowly be replaced
by Ruppia.
                                      163
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     Table 35.    Historic documentation of SAV  by decades, James  Island
     and Honga  River, Maryland (Area 7)
               Species
  1950
    1960
    1970
Ruppia
maritima

1960-1961(6)
1967(V)
1967(E)
1971-1976(MB)
            Zostera
            marina

            Potamogeton
            pectinatus

            Zannichellia
            palustris
1950s(RS)
1960-1961(6)
1967(V)(E)

1967(V)
1968(H)
                         1971-1972(MB)
1972(MB)
1973(H)

1976(M6)
     Abundant _P. pectinatus was observed  in  1967  by  the  Vegetation Survey, but
in 1971 MBHRL personnel found none at the  32  sampling  stations.  In 1972,
P.- pectinatus was again documented, this  time at  20  percent of the stations
Tampled.  One herbarium specimen dated  1973  indicates  that some IP. pectinatus
was still present the following year.

     Zannichellia was not documented this  far south  until  1976.   Trace quan-
tities of the species were found in Cow Cove  off  lower Hooper Island.   Results
of the 1977 MBHRL Survey may show whether or not  this  species has been able to
become established.

Area 8.  Honga  River

     Stewart (1962) cites P_, pectinatus as one of the  principal  species of SAV
in the Honga River.  The Vegetation Survey documented  extensive growth of
Zostera, Ruppia and £_. pectinatus in the  Honga River in  1967 (see Table 36).
In 1971, MBHRL  teams observed Zostera and Ruppia  still in abundance but did not
note any P_. pectinatus.  This latter species  did  turn  up in 1972 and 1973 in
"more  than trace"  (Kerwin et al. 1975b) quantities.   However, from 1974 through
1976,  the survey team again found no P_. pectinatus.

     From 1971  to  1976, Ruppia  was documented each year  though at a decreasing
number of stations.  Zostera also decreased  over  the same six years and seemed
to disappear in 1973 and 1974;  then returned in 1975 and 1976.  Trace amounts
of Zannichellia were observed the summer  of  1976.
                                      164
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     Table 36,    Historic documentation of SAV  by decades,  Honga  River,
     Maryland (Area 8}
Species
Ruppia
maritima
Zostera
manna
Potamogeton
pectinatus
Zanm'chellia
palustris
1930 1950 1960
1960-1961(6)
1967(V)
1933(H) 1960-1961(8)
1967(V)
1950s(RS) 1967(V)
1970
1971-1976(MB)
1971-1972(MB)
1975-1976(MB)
1972-1973(MB)
1976(MB)
Area 9.   Bloodsworth and South Marsh Islands

     The Vegetation and Benthic surveys of the 1960s (see Table 37) documented
extensive growths of Ruppia, Zostera and £_. pectinatus.  These same species
have been found by the MBHRL Survey teams; however, percentage occurrence
figures indicate that both Ruppia and Zostera have decreased in occurrence
since 1971.  It is interesting to note that Zostera was not found at all in
the 1976 survey (see Zostera in Chapter 1).  P_. pectinatus has not been docu-
mented since 1973 when it was noted off Great Cove and  south of Spring Island,
Stotts (personal communication) noted Zannichellia along the midsection of
South Marsh Island in June, 1976.

     Table 37.  Historic documentation of SAV by decades, Bloodsworth Island,
     Maryland (Area 9)
Species
Ruppia
maritima
Zostera
manna
Potamogeton
pectinatus
Zannichellia
palustris
1959 I960
1959(B) 1960-1961(6)
1967(V)
1960-1961(6)
1967(V)
1967(V)
1970
1971-1976(MB)
1971-1975(MB)
1971-1973(MB)
1976(VS)
                                      165
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Area 10.    Susquehanna Flats

     Submerged aquatic macrophytes  have been documented on the Susquehanna
Flats since the late 1870s  (see  Table 38).  With  the initiation of  the
Susquehanna Flats Survey in 1958,  the changes in  occurrence of Myriophyllum,
Elodea, Vallisneria, and Najas were followed to the  present.  All native species
have decreased in abundance since  1958; only Myriophyllum was found from 1971
to 1975.   Najas was again seen in  1977 but was classified as "rare" (Stotts,
personal  communication).    Milfoil  Survey teams worked on the Flats in September
of 1969 and found dense populations of Vallisneria.   Considerable break-up of
the top portions of the plants was  noted in the fall.  The MBHRL Survey sub-
stantiated the decline and  disappearance of Elodea,  Najas^ and Vallisneria and
trace amounts  of the latter species were documented  in 1972 in Buzzard Bay.

     Table 38.    Historic documentation of SAV by decades, Susquehanna Flats,
     (Maryland (Area 10)
            Species
1870-1900    1900
                                          1950
   1960
   1970
Potanrageton
perfoliatus
1879(H)
1895(H)
1902 (H)
1953(H)
1959(5)
1961(M)
1963(H)
          Myriophylliim
          spicatum
                 1952(H)
                 1958-1959(5)
1960-1969(5)
1961(M)
1967-1969(M
1962,1963(H
1965,1968(H
1970-1971(M)
1970-1975(5)
1971(MB)
1974-1976(MB)
£. pectinatus9 1879(H)
Vallisneria
americana
Elodea 1879(H)
canadensis
Najas spp.
Chara spp.
Ceratophyllum3
demersum

1902(H) 1953(H)
1959(5)
1902(H) 1951,1953(H)
1958-1959(5)
1951-1953(H)
1958-1959(5)
1958-1959(5)
1959(5)
1902(H) 1953(H)
1960-1969(5)
196l(M)
1963(H)
1960-1969(5)
1963(H)
1960-1961(M)
1960-1969(5)
1963(H)
1961(M)
1962,1963(H)
1970-1971(5)
1971-1972(MB)
1970-1971(5)
1971(MB)
1970-1971(5)
1971(MB)
1977(5)
1971(MB)
1971(MB)
          aThese species plus Zannichellia palustris were listed as non-dominant species in
           the Susquehanna Flats Survey.  Occurrence and abundance were not stated except for
           the total period of 1958-1975.


Area 11.  Fishing Bay

     Three  surveys have  included sampling stations  in Fishing Bay:   Benthic
Survey; MWA Vegetation Survey;  and MBHRL Survey  (see Table 39).    The Benthic
Survey  had  one  transect  across  upper Fishing Bay in 1959 but no SAV was noted.
In 1967, MWA teams found Zostera and P_, pectinatus  at just over 50 percent of
the 27  transects sampled and  Ruppia at 37 percent of the transects.  MBHRL
                                       166
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documented  Ruppia and Zostera in  1972.   Ruppia was found at  two  stations off
Duck and Clay  Island marshes and  measured as 99 percent per  volume of sample.
Zostera was  documented each year  as  a  trace amount, in Duck  Island Cove in 1971
and then off Fishing Point in 1972.  After 1972 no submerged aquatic species
were found  by  survey crews.

     Table  39.   Historic documentation of SAV by decades,  Fishing Bay,
     Maryland  (Area 11)
                       Species
     1960
1970
                     Ruppia
                     maritima

                     Zostera
                     marina

                     Potamogeton
                     pectinatus

                     Chara spp.
    1967(V)    1971(MB)
    1967(V)    1971-1972(MB)
    1967(V)
             1971(H)
Area 12.  Nanticoke and Wicomico^Rivers

     Survey  teams  from the Milfoil Survey and MWA documented  five SAV species
in the Nanticoke and Wicomico Rivers  from 1965 to 1969.   Ruppia  and P_.
perfoliatus  were again found in 1971  but since then, the  MBHRL crews have
documented no  vegetation at any of the 30 stations that have  been sampled
annually since 1971 (see Table 40).

     Table 40.  Historic documentation of SAV by decades, Nanticoke and
     Wicomico  Rivers, Maryland (Area  12)
                    Species
                  MyriophyTlum
                  spicatum

                  P. pectinatus
                                1950
                                           1960
1957(H)    1965,1967(M)
         1969(M)
                                                       1970
PotamogetorL
perfoliatus
Ruppia
maritima

1965(M)
1967-1969(M)
1965(M)
1967-1968(M)
1967(V)
1971(M)
1970-197KM)


                                       167
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Area 13.  Manokin River

     In sharp contrast to the complete absence of SAV in the nearby Nanticoke
and Wiconrico Rivers after 1971, the MBHRL Survey indicated Ruppia  from 1971
through 1976 and Zostera from 1971  to 1975 in the Manokin River (see Table 41)
However, percentage occurrence based on number of vegetated sampling stations
indicates declines for both species over time.  Zostera was documented at 33
percent of the 15 sampling stations in 1971,  7 percent in 1975 and zero in
1976.  Ruppia's decline was less drastic; 20  percent of the stations were
vegetated in 1971, 7 percent in 1975 and almost 7 percent in 1976.  In 1972,
P_. pectinatus was documented at the mouths of league and Goose Creeks but has
not been found since then.

     Table 41.  Historic documentation of SAV by decades, Manokin  River,
     Maryland (Area 13)
                     Species           1960           1970


                  Ruppia
                  marl ti ma             1967(V)       1971-1976(MB)

                  Zostera
                  marina               1967(V)       1971-1975(MB)

                  Potamogeton
                  pectinatus                        1972(MB)
Area 14.  Patapsco River

     Ruppia and Elodea are documented with herbarium specimens from the 1950s;
however, there is no documented evidence of Elodea since then (see Table 42).
Ruppia was noted as occasional in Main Creek in 1961 by the Milfoil Survey
personnel and was found to be locally abundant in Back Creek.  MBHRL teams
have not observed Ruppia or Elodea in the Patapsco River during their six
years of sampling.

     In 1961, Myriophyllum was found to be locally abundant in Main Creek and
occasional to rare in Back, Rock and Fox Creeks.   IP. perfoliatus was consider-
ed to be generally rare, though locally abundant  in Back Creek.  Vallisneria,
the only other SAV species observed in 1961, was  locally abundant in Back Creek
and rare to occasional in all other creeks that were sampled.

     There is no information indicating any sampling of SAV in the Patapsco
River from 1962 to 1971 except for one herbarium specimen for Najas dated
1968.  The MBHRL Survey teams have documented three species from 1972 to 1976,
the two Potamogeton spp. andVallisneria.  However, data indicate only trace
amounts of all three species except for Vallisneria in 1974, when analysis was
indicated as 99 percent per volume from two samples near the mouth of Stony Creek,


                                      168
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     Table 42.   Historic documentation of SAV by decades,  Patapsco  River,
     Maryland (Area 14)
Species
Potamogeton
perfoliatus
Ruppia
maritima
Myriophyllum
spicatum
P. pectinatus
Vallisneria
amencana
Elodea
canadensis
1950 1960
1961(M)
1953(H) 1961(M)
1961(M)
1961(M)
1950(H)
1970a
1972-1974(MB)
1972(MB)
1973-1974(MB)
1976(MB)
                                     1968(H)
              aMBHRL did not sample the Patapsco River in 1975

Area 15.   Big and Ljittle Annemessex Rivers

     Ruppia and Zostera are documented as  the dominant  species  in  the
Annemessex Rivers (see Table 43).  Both species  were  documented from 1959  to
1961 during the Benthic Survey and have been found consistently over the six
years of the MBHRL Survey.  However, percentage  occurrence  of sampling  stations
indicates that both species have declined  since  1971; Ruppia was found  at  45
percent of the 20 stations in 1971 and at  25 percent  in 1976; and  Zostera  de-
clined from 60 percent in 1971 to 15 percent in  1976.

     Table 43.  Historic documentation of  SAV by decades, Big and  Little
     Annemessex Rivers, Maryland (Area 15)
Species
Ruppia
maritima
Zostera
marina
Potamogeton
perfoliatus
1960
1959-1961(6)
1967(V)
1959-1961(6)
1967(V)
1967(V)
1970
1971-1976(MB)
1971-1976(MB)
1971-1973(MB)
                                     169
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      Potamogeton pectjnatus is the only other species whose  presence has
been  documented in this  area.   During the  1967 Vegetation  Survey, 69 percent
of  the stations sampled  in the Big Annemessex River were vegetated with
P..  pectinatus.  Trace amounts  were noted in  MBHRL analyses of 1971 and 1973
samples from the Little  Annemessex.  In 1972, the species was found in "greater
than  trace" (Kerwin et al.   1975b) amounts at several stations  in the Big
Annemessex in Fords and  Crane  Coves.

Area  16.    Gunpowder and Bush  Rivers

      Historic records for the  Gunpowder and  Bush Rivers date  back to herbarium
specimens  of 1895 for Myriophyllum, P_.  perfoliatus and P_. pectinatus (see
Table 44).   There is no  indication that £_. pectinatus and Ruppia  (documented
in  1902 and 1903 only) were able to successfully persist.  Milfoil Surveys
and herbarium specimens  documented a total of eight SAV species in this area
during  the 1960s.   In 1970  and 1971, five of these same species were found.
However, since 1971, MBHRL  has documented no vegetation in the  headwaters of
the two rivers.   MBHRL has  not sampled the southern portions  of the rivers.

      Elser (1969)  surveyed  the Bird River in 1965 and found large beds of
Myriophyllum.Vallisneria  and Ceratophyllum.   When milfoil retreated the
following year,  Vallisneria and Ceratophyllum colonized the vacated areas.
However, in 1967,  the same  areas  were noted  to be nearly bare with only a few
sparse  beds.

      Table  44.   Historic documentation  of SAV by decades, Gunpowder and
      Bush  Rivers,  Maryland  (Area  16)
Species
Potamogeton
perfoliatus
Ruppi a
maritima
Hyriophyllum
spicatum
1890
1895(H)


1895(H)
1900 1950
1902(H)

190Z(H)
1903(H)

1960
1961(H)(M)


1960,1961(H)
1962,1963(H)
1970
1970-1971(M)


1970(H)
1971(W)
                  P_. pectinatus   1895(H)

                  Zannichellia
                  palustris

                  Vallisneria
                  americana


                  El odea
                  canadensis

                  Najas spp.


                  Chara spp.

                  Cerataphyllum
                  demersum
1902(H)
1951(H)
1956(H)
       1956(H)
        1956(H)
                                                    1964-1967(E)
                                                    1961(M)
                                                    1967-1969(M)
               1961(M)
1961,1963(H
1965-1967(E
1961,1969(M)

1961(M)
        1961(M)
        1963(H)

        1961(M)

        1961(H)
        1965-1967(E)
                          1970-1971(M)
1970-1971(M)



1971(M)


1970-1971(N)




1970-1971{M)
                                        170
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     When Milfoil Survey teams looked at  Gunpowder River in 1969, 1970 and
1971, Myriophyllum was found to be dominant south of the railroad bridge.
Vallisneria and P_. perfoliatus were found along with traces of Najas and
Ceratophyllum.  In Dundee and Saltpeter Creeks, the water was observed to
be only slightly turbid in May and June of 1960.  Shoal areas were covered
with extensive diversified growth.   The excessive rains and runoff in July
seemed to affect the vegetation in Saltpeter  Creek resulting in almost com-
plete loss.  Dundee Creek was not as affected and extensive beds of
Myriophyllum and Vallisneria were noted.  In July of 1977, MBHRL Survey teams
found abundant Vallisneria and Chara in Dundee Creek.  Myriophyllum and
£_. crispus were observed growing in water over 2 m deep.

     Potamogeton foliosus, a specie^ that had not been seen for about 10
years, was noted in the Gunpowder River in 1971.  The MBHRL Survey did not
indicate the continued presence of this species subsequent to the scattered
growth that was noted by the Milfoil team.

Area 17.   Pocomoke Sound

     The Vegetation Survey sampled 19 transects in Pocomoke Sound in 1967 and
documented Zostera at 89 percent and Ruppia at 58 percent of the stations
(see Table 45).  Except for 1974, MBHRL Survey teams have sampled from 20 to
22 stations each year in the Maryland portion of Pocomoke Sound.  As would be
expected in the high salinity waters of the Sound, Ruppia and Zostera were
the only species documented.  Based on percentage occurrence figures, both
species show declines over the six year MBHRL Survey.  Zostera was observed
at 18 percent of the stations sampled in 1971 compared to 9 percent in 1976.
Ruppia declined from 9 percent to 4.5 percent over the same six years and
was noted at all in 1972 and 1973.

     Table 45.  Historic documentation of SAV by decades Pocomoke Sound,
     Maryland (Area 17)
               Species                1960                  1970a
          Ruppia                     1967(V)         1971,1975-1976(MB)
          maritima

          Zostera                    1967(V)         1971-1973(MB)
          marina                                     1975-1976(MB)
          'MBHRL did not sample Pocomoke Sound in 1974
                                      171
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Area 18.  Magothy River

     In the Magothy River, Milfoil Survey teams, Vernon Stotts, Harold Elser
and MBHRL have documented nine species of SAV over the 17-year period from
1960 to 1976 (see Table 46).  A saltwater intrusion noted prior to  1967 and
allowed SAV species other than Myriophyllum to become reestablished  (Elser
1969).   Ruppia and P_. perfoliatus were found in 1969 to be dominant  in such
areas as the shoals off Broad Creek, in Deep Mill Creek and in the  upper
reaches of Blackhole Creek.  In the embayments beyond the confluence of Cockey,
Magothy, and Cattail Creeks, the water was very turbid in August, 1969, and
almost no SAV was noted by the Milfoil Survey team personnel.

     P_. perfoliatus was documented consistently until 1974 when it  was last
observed at two locations off Park and Grays Points.  Ruppia, Chara  and
Najas have not been documented since 1974 despite annual sampling efforts by
MBHRL.   Only Vallisneria has been noted in the Magothy River since  1974 and
1976 when only a trace amount was noted off Pea Patch Point.

     Table 46.  Historic documentation of SAV by decades, Magothy River,
     Maryland (Area 18)
Species 1900
Potamogeton
perfoliatus
Ruopia
maritime
Myriophyllum
spicatum
P. pectinatus

1940 1950
1945(H) 1950(H)
1959(B)a
1945(H) 1950(H)
1959(8)
1960
1960-1961(B)
1961,1969(M)
1969(E)
1960-1961(8)
1961,1969(M)
1961(M)
1968-1969(M)
1967(E)
1960(B)
1961,1969(M)
1970
1971(MB)
1973-1974(MB)
1970-1971(M)
1971,1974(MB)
1970-1971(M)
1970(H)
1970-1971(M)
1970-1971(M)
1971,1973(MB)
Zannichellia
palustris
Vallisneria 1902(H)
americana
El odea
cafiadensis
Na^'as spp.
Chfrra spp.
Ceratophyll urn 1947(H)
denier sum

1960-1961(6)
1961(M)
1961(M)
1960-1961(8)
1961(M)
1961(B)(M)
1970-1971(M)
1970-1971(M)
1971,1973(MB)
1976(MB)
1971(MB)
1973-1974(MB)
1974(MB)
       aThe 1959 Benthic Survey listed Potamogeton  sp. by genus only
                                     172
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Area 19.  Severn  River

     Submerged aquatic  species  have  been documented in the Severn River since
1893 (see Table 47).  In  the  1950s and 1960s, Milfoil Survey and herbarium
records show 8 species  present.   Survey teams found abundant Elodea in July,
1961, along the south shore of  the river.   Elser (1969) found abundant
£. perfoliatus and Myriophyllum prior to August, 1966.  By 1967, Elser noted
only a few, sparse beds of the  same  species.   In September, 1969, the waters
of the Servern River were found to be cloudy  in most embayments and indentations.
In Asquith Creek  and Ringold  Cove abundant growth of £. perfoliatus was ob-
served along with scattered _R_uppia and P. pectinatus.  Across the river, SAV
seemed to be practically  nonexistent.  In the Severna Park area and across the
river in creek embayments above Long Point, scattered growth of P.. perfoliatus
and Ruppia were commonly  found.   By  1969,  no  vegetation was observed in  the
upper reaches of  the river.   P..  perfoliatus appeared to be the dominant species
in the 1970s; however,  between  1971  and 1976  percentage occurrence figures
indicated a dec!ine of about one-half in the number of vegetated stations.

     Table 47.  Historic  documentation of SAV by decades, Severn River,
     Maryland (Area 19)
     Species
1890
1920
1940
1950
                                                        1960
   Ceratophyllum
   demersum
                 1949(H)    1952(H)
1970
Potamogeton 1927(H)
perfoliatus
Ruppia 1927(H)
maritime
Mynqphyllum
spicatum
P. pectinatus 1893(H) 1927(H)
Zannichellia
palustris
Vail isneria
amencana
Elodea
canadensis
Najas spp.
Chara spp.

1952(H) 1961,1969(M)
1966-1967(E)
1952(H) 1961,1969(M)
1961(M)
1966-1967(E)
1968-1969(M)
1952(H) 1961,1969(M)

1961(M)
1947(H) 1952(H) 1961(M)
1954(H) 1961(M)
1969(H)
1961(M)
1970-1971(M)
1976(MB)
1971-1974(MB)
1970-1971(M)
1971-1974(MB)
1976(MB)
1970(H)
1970-1971(M)
1972,1976(MB)
1970-1971(M)
1972-1974(MB)
1970-1971(M)
1974,1976(MB)
1970-1971(M)
1971-1974(MB)
1972-1974(MB)
1976(MB)
                                       1974(MB)
   aMBHRL did not sample the Severn River in 1975
                                      173
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Area 20.  Patuxent River

     From the 1930s to present, eight species of SAV were  documented in the
Patuxent River (see Table 48).  Elser (1969) observed  healthy  Zostera at
Solomons in the late 1940s.  Stewart (1962) listed  P_.  pectinatus  plus unnamed
salt-water species as present in the lower Patuxent River  from the  mouth
upstream to Point Patience.  Herbarium specimens plus  the  sampling  work of
the Milfoil Survey and Vernon Stotts provide evidence  of occurrence in the
1960s.  In July, 1961, Milfoil teams sampled the west  side of  the Patuxent
River south of the Benedict Bridge and noted Elodea to be  generally abundant
in most of the creeks. Ruppia and £_. perfoliatus ranged from rare to abundant,
£. pectinatus was observed to be locally abundant in St. Thomas and Cuckold
Creeks and Zannichellia was listed as rare in Mill  and Washington Creeks.

     Table 48.  Historic documentation of SAV by decades,  Patuxent  River.
     Maryland  (Area 20)
Species
Potamogeton
perfoliatus
Ruppia
maritima
Zostera
marina
P. pectinatus
Zannichellia
palustris
Elodea
canadensis
1930 1940 1950 1960
1952(H) 1961(M)
1961,1964(H)
1966(H)
1963-1965(A)
1937(H) 1946(H) 1961(M)
1963-1965(A)
1933,1937(H) 1940s(E) 1961(8)
1946(H) 1965(H)
1937(H) 1946(H) 1950s(RC) 1961(M)
1961(M)
1965(H)
1954(H) 1961(M)
1965(H)
1970
1970-1971(M)
1970-1971(M)
1972,1974(MB)
1976(MB)
1971(MB)
1970-1971(M)
            Najas spp.
            Vallisneria
            americana
1939(H)
1947(H)
1954(H)
1957(H)
1969(H)


1965(H)
     The east side of the  river  near  Solomons was  also  sampled in July, 1961.
Vegetation was limited to  Ruppia and  was  found  to  be  generally sparse.   MBHRL
and Milfoil surveys from 1970  to 1976 documented only three of the eight species
that had been observed during  the  previous  decade.  A trace of Zostera  was noted
in Cuckold  Creek in 1971.  Milfoil Survey  teams described a general  lack of
extensive vegetation in the entire river  and only  sparse growths  of Ruppia,
IP. pectinatus and IP. perfoliatus in 1970  and 1971.  Trace amounts of Ruppia
were documented in 1972 off Sheridan  Point  and  in  Cuckold Creek.
was found again  in.1974  and  1976  at  the  Cukold  Creek  station.

Area 21.  Back,  Middle and Gunpowder Rivers
                                           Only Ruppia
     Submerged aquatic species diversity was  high  in  the 1960s  in these three
rivers; ten species were  documented  in  1960,  1961  and 1969 (see Table 49).
                                      174
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By 1970, diversity had decreased to six species with the loss of Najas,
IP. pectinatus, Chara and Zannichellia.  Good growths of Vallisneria were
seen in Galloway Creek in 1969 with lesser amounts of P_. perfoliatus and
traces of Zannichellia, P_. pectinatus, Ruppia and Najas.  The following year,
scattered patches of Vallisneria and Ruppia and some of the other pondweeds
were noted throughout Middle River.

     Table 49.  Historic documentation of SAV by decades, Back, Middle
     and Gunpowder Rivers, Maryland (Area 21)
                Species
                          1940
                                   1960
                                                 1970
Potamogeton
perfoliatus
Ruppia
maritima
Myriophyllum
spicatum
P. pectinatus
Zannichellia
palustris
Vallisneria
amencana
Elodea
canadensis
Najas spp.
Chara spp.
Ceratophyllum
demersum

1940(H) 1960-1961 ,1969(M)
1961,1969(M)
1960-1961(6)
1960-1961 ,1969(M)
1962,1963(H)
1967-1969(50)
1968(H)
1960-1961, 1969(M)
1963(H)
1969(M)
1940(H) 1960-1961(6)
1960-1961, 1969(M)
1940(H) 1960-1961, 1969(M)
1960-1961, 1969(M)
1961(6)
1960(M)
1940(H) 1960-1961, 1969(M)
1970-1971(M)
1970(M)
197UHB)
1970-1971(M)
1971-1973, 1975(M6)
1970-1971(M)
1974-1975(M8)
1970-1971(M)
1972(M6)
1970-1971(M)
     Back River was Reported to be very turbid in 1969 and no submerged
vegetation was documented.  Vallisneria showed up in 1974 and 1975 but not
in 1976 at the mouth of Seneca Creek.  Ruppia was documented in the same
area in Seneca Creek by MBHRL in 1971 but has not been found since.  Along
with Vallisneria, Myriophyllum is the only other SAV species that was seen
in 1975.  The 1976 MBHRL Survey found no vegetation in Area 21.

Area 22.  Curtis and Cove Points

     Herbarium specimens and Benthic Survey transects taken along the western
Bay shore between Curtis and Cove Points have documented four SAV species be-
tween 1931 and 1965 (see Table 50).  Despite about 20 stations sampled from
1971 to 1976, the MBHRL teams found no vegetation.  Although the high energy
nature of this portion of the Chesapeake Bay is not conducive to SAV invasion
and growth, it is interesting to note that there are past records of species
occurrence in these a^reas.
                                      175
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     Table  50.   Historic  documentation of  SAV  by  decades,  Curtis  and  Cove
     Points,  Maryland  (Area  22)
Species
Potamogeton
perfoliatus
Ruppia
maritima
Zostera
manna
Zannichellia
palustris
1930 1940 1960
1963(H)
1948(H) 1961(B)
1965(H)
1931(H)
Area 23.  South, West and Rhode Rivers

     Elser (1969, p. 58) reported that the Rhode River supported"	rather
heavy weed load..." in 1964.  Myriophyllum was dominant but the river also
included large beds of P_. perfoliatus and lesser amounts of El odea, P_. pectinatus.
Ruppia and Zannichellia were also represented (see Table 51).  In 1965, Elser
observed; a general decline of vegetation over the summer.  By 1966, SAV coverage
appeared to be about 10 percent of the 1965 observed abundance.  By 1967, Elser
found only a few sparse beds of P_- oerfoliatus.  This decline Elser referred to
as a phenomenon and named it the "Rhode River Evanescence."

     Southwick and Pine (1975) studied the complete shoreline of the Rhode River
and its tributaries from 1966 to 1973.  Based on their observations, they con-
cluded that the six species studied had declined substantially and El odea had
disappeared completely after 1966.  Those species that were observed until 1973
were Ruppia, £_. perfoliatus. Myriophyllum and Zannichellia.   In 1961, the
Milfoil Survey teams surveyed the Rhode River and observed P_. perfoliatus grow-
ing abundantly in most of the creeks.  Elodea and Ruppia were considered as
occasional to common inhabitants of the same area.  A 1945 herbarium specimen
places Vallisneria  in the Rhode River but subsequent survey work has not docu-
mented the species  since.   In 1969, P.. perfoliatus was still  observed to be
abundant.  Lesser amounts of £. pectinatus. Ruppia and a trace of Myriophyllum
were noted prior to a mid-July die-back.   MBHRL Survey  teams did not find any
vegetation from  1971 to 1976.

     Milfoil teams  surveyed West River in August of 1961 and  found P_. perfoliatus
to  be  growing abundantly  in most of the sheltered areas  of the river.  Elodea
and Ruppia were  considered  common in most creeks and Myriophyllum and
P.-  pectinatus turned up occasionally.   Ruppia  showed up in West River in  1976,
Tor the first time  since  MBHRL started surveying in 1971.
                                      176
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     Table 51.  Historic documentation of SAV by decades, South, West  and
     Rhode Rivers, Maryland (Area 23)
             Species
                        1900
                               1940
1950
                                               1960
                     1970
Potamogeton
perfoliatus
Ruppia
maritima
Myriophyllum
spicatum
P. pectinatus
ZannicheTlia
palustris
Vanisneria
americana
El odea
canadensis

1960,1963(H)
1961,1969(M)
1962(P&B)
1964-1967(E)
1966-1969(S&P)
1905(H) 1946(H) 1953(H) 1961,1969(M)
1962(P&B)
1963(H)
1966-1969(S&P)
1961,1968(M)
1962(P&B)
1964-1967(E)
1966-1969(S&P)
1947(H) 1961,1969(M)
1964-1967(E)
1966-1969(S&P)
1961(M)
1966-1969(S&P)
1945(H)
1945(H) 1960(H)
1961(M)
1962(P&B)
1966(S&P)
1970-1971(M)
1972-1973(S»P)
1976(CB)
1970-1971(M)
1971-1973(S&P)
1976(MB)
1976(CB)
1970(M)
1970-1973(S&P)
1971-1973(S&P)
1976(CB)
1970-1973(S&P)
1976(CB)
     Phi Hipp and Brown  (1965) surveyed  two  locations  in  the  South  River in
1962 and found dense masses of P_. perfoliatus and  El odea  nuttallii  ringing
Limehouse Cove and from  Mayo Point to  Long Point.   Milfoil  teams  found
JP. perfoliatus to be abundant in 1961  in  Ramsay  Lake,  Selby Bay and Duvall
Creek and common to occasional growth  in  most of the remainder of South  River.
El odea, Myriophyllum and Ruppia were determined  to be  generally common to the
area.  MBHRL teams did not observe any vegetation  in the  South River from 1971
to 1976.

     Personnel from the  Cheapeake Bay  Center for Environmental Studies (CBCES)
surveyed the Rhode River in June and July, 1976.   Ruppia  was  determined  to  be
dominant, along with abundant Zannichellia.  Traces of IP.  perfoliatus and
£• pectinatus were also  found.

Area 24.  Chester River

     Through the combined efforts of the  Milfoil teams, MWA and MBHRL, aquatic
species occurrence and abundance in the  Chester  River  have been well documented
from 1960 to 1976 (see Table 52).  Results from  the Benthic Survey  (1959 to
1961) show P_. perfoliatus as dominant  and abundant at  virtually all stations
sampled. Najas and Myriophyllum were found frequently  and P_.  pectinatus  and
El odea found occasionally.  During 1964  through  1966,  increased salinity pushed
Myriophyllum further up  river and allowed P. perfoliatus  to reestablish. In
                                      177
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 1965,  Milfoil  personnel sampled much of the Chester River and found

 7L S   ?    ^5:  Va11is"eria' Myriophyllum and RuppTa locally dominant and
 abundant.   Elodea was documented occasionally. Excessive precipitation and

 <±nlty IIS rUHn°ff re5UU?d in heavy clouLd water though     hro^ng
 nrn!?h  '? J    and in nnd-July and early August of 1969.  In 1968, scattered
 growth  of £. perfoliatus was observed in the Chester River.  By 1969  the
 Vegetation Survey cited £. perfoliatus as dominant and abundant   Ruppia and
 ^ynophyllum were found at Sver 50 percent of the transects sample^Tl  neria
 which had been found so abundant in 1968 was observed at less than 25 percent

                             Najas were obse™ed at over 25 percent of the
,•  ^ru         Survey teams documented 10 of the 11  previously seen species
in the Chester River.  £. perfoliatus remained dominant through 1976.  Myriophyllum
and Ceratophyll urn were the only species not found during the 1975 and  1976 surveys

£nfc hT^S °f Cer;y>phyn urn were seen in 1970 in various  Chester River embly!
ments but these growths were  virtually gone in 1971.  Based  on the frequency of

?97irtoni97fi  "in ?S7iBH,Rn' t0tal  VT tati°n f°r the  Chester River declined^
1971  to 1976.  In 1971, 60 percent of the 36 sampling stations were vegetated
as compared to 1976 when 25 percent showed vegetation.               vegetated


     Table 52   Historic documentation of SAV decades,  Chester River,
     Maryland (Area 24)
Species 1900
Potamogeton
perfoliatus

Ruppia
maritima

Myriophynum
spicatum
1940 1950 1960
1947(H) 1959(B)a 1961(M)
1965(H)
1965,1968-1969(M)
1969JV)
1947(H) 1959(B) 1960-1961(8)
1961,1965(M)
1965(H)
1969(V)
1961(B)(M)
1965,1968-1969(M)
1969(V)
1970
1970-197KM)
1971-1976(MB)
1972(H)
1970-1972(P)
1970-1971(H)
1971-1976(MB)
1970-197KM)
1971-1973(MB)
                                          1969(V)
f. pectinatus 1907(H)
Zannichellia
palustrls
Vallisneria 1947(H)
americana
Elodea
canadensis
Najas spp. 19«(H)
Chara spp.
Ceratophyll um
demersum
1960-1961(6)
1961(H)
1969(V)
1969(V)
1961,1969(M)
1965(M)
1968(V)
1960-1961(6)
1961.1965(M)
1969(V)
1961(B)(M)
1969(V)
1961(H)
1969(V)
1961(B)
1961,1965(M)
1970-1972(P)
1970-197KM)
1971-1974, 1976(MB)
1970-1972(P)
1971(M)
1973,1976(MB)
1971, 1973, 1976(M6)
1970-197KH)
1971-1972(MB)
1975-1976(MB)
1970(M)
1970-1972(P)
1971-1976(MB)
1972-1975(MB)
1970-197KH)
              aThe 1959 6enthic Survey listed Potamogeton sp. by genus only.
                                    178
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     Frank Pine, then a graduate student at The Johns Hopkins University,
surveyed various areas in the Chester River in the 1970s.   With Robert Munro,
Pine surveyed Eastern Neck Island in 1970 and observed extensive beds of
Najas, Ruppia, P_. pectinatus and Zannichellia along the western shore.  Pockets
of the same species were noted on the eastern side of the  island.   By the spring
of 1972, the large western beds were reduced to virtually  nothing  while vegeta-
tion pockets remained on the eastern side.  Excessive turbidity was noted at
the time.

Area 25.  Love and Kent Points

     The Chesapeake Bay shore between Kent and Love Points was surveyed in
1961 by Milfoil Survey teams (see Table 53).  One transect was run perpendicular
to the Bay shore line as part of the Benthic Survey in 1961.  Both surveys docu-
mented a total of four species.   By the 1969 Vegetation Survey, three species
were documented with Ruppia dominant.  In 1974, Ruppia alone was documented off
Chews Point, north of Bloody Point, by the MBHRL Survey.

     Table 53.  Historic documentation of SAV by decades,  Love and Kent
     Points, Maryland (Area 25)
               Species                    1960                 1970
          Potamogeton                  1961(B)(M)
          perfoliatus                  1969(V)

          Ruppia                       1961(B)(M)             1974(MB)
          maritima                     1969(V)

          Zostera                      1961(M)
          marina                       1969(V)

          Vallisneria                  1961(M)
          americana
Area 26.  Smith Island

     Vegetation around Smith Island has been predominantly Zostera and Ruppia
(see Table 54).  Both species were documented by the Vegetation Survey in 1967
at the same percentage of transects though by the initation of the MBHRL Survey
in 1971, Ruppia seemed to be more common than Zostera.  Since that time, Zostera
has declined sharply, based on percentage occurrence.  Ruppia has also declined
but showed a recovery in 1976.  P_. pectinatus was observed in both 1972 and 1973
in "more than trace" amounts.  Subsequent MBHRL surveys in 1974 and 1976 have
not documented any further P. pectinatus.
                                      179
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     Table 54.  Historic documentation  of SAV by decades, Smith Island,
     Maryland (Area 26)
                   Species
           1960
                   1970
              Potamogeton
              pectin at us_

              Ruppia
              maritima

              Zostera
              marina
          1967(V)


          1967(V)
               1972-1973(MB)


               1971-1976(MB)
               1971-1972(MB)
               1975-1976(MB)
Area 29.  Upper Potomac  River

     Francis Uhler, MBHRL,  is  often  quoted concerning his report of seeing
ducks feeding pondweeds,  Na.ias and Vail isneria, near the 14th Street  Bridge
in the early 1930s  (see  Table  55).   Stewart (1962) reported finding
P_. pectinatus along with  Najas and Vail isneria in the 1950s (date not specified)
In 1952, Bartsch  (1954)  surveyed  the upper Potomac River and determined  that
vegetation was essentially  nonexistent.   Then, from 1958 until its dramatic
disappearance around  1965,  Myriophyllum created nuisance conditions in the
upper Potomac.

     Table 55.  Historic  documentation of SAV by decades, Upper Potomac
     River, Maryland  and  Virginia,  (Area 29)
Species
Potamogeton
Ruppia
maritima
Ifynophyl 1 urn
spicatum
P.. pectinatus
Vail isneria
americana
El odea
canedensis
Najas sp.
1890-1900
1877(H)
1884,1898(H)


1889(H)
1875(H)
1884,1895(H)

1900
1906(H)
1903(H)

1903(H)
1906(H)
1908(H)
1909(H)
1903(H)
1903(H)

1910 1920
1914(H) 1922(H)
1915(H)
1915(H)
191S(H)
1914(H) 1925(H)
1915(H)
1914(H)
1918(H)
1929(H)
1930 1940
1930(H)
1933(H)

1935(H)
1933(H)
1930s (U)
1935(H) 1941(H)
1944(H)
1933(H)
1934(H)
1939(H)
1930s (U)
1950

1951(H)
1957(H)
1952(H)
1950s (RS)
1950s(RS)
1950(H)
1951(H)
1950s (RS)
1960 1970

1963(H)
1969(H)

1977(EC)
1972(H)
      Ceratophyl1um
      demersum
               1881,1895(H)   1903(H)
1915(H)
1918(H)
1935(H)
1936(H)
                                               1944(H)
                                      180
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      MBHRL  sampled the upper Potomac in 1972 but found no SAV.  Based on the
 lack  of  vegetation,  sampling of the entire river was dropped from the MBHRL
 Survey until  1977.   Sampling of the same stations again documented no vegetation
 during the  summer of 1977.

      Ecological  Analysts  (Towson,  Maryland)  is presently studying Piscataway
 Creek for the Washington  Suburban  Sanitary Commission.  Field personnel
 noted in 1977 moderate sized beds  of healthy Elodea canadensis and patchy but
 healthy  beds  of  Potamogeton crispus in creek bottoms just south of the mouth
 of  Piscataway Creek  in the  Potomac River (Pine, personal  communication).

 Area  30.  Upper  Middle Potomac River

      Port Tobacco River was surveyed from 1960 to 1971 for the Milfoil Survey.
 In  1969, with the exception of Goose Bay, the river was extremely turbid with
 only  traces of Ruppia, Myriophyllum and P_. perfoliatus.  The water was clear in
 Goose Bay and abundaBt with Myriophyllum.   By 1970, an increase in SAV  was
 noted throughout the lower  half of Port Tobacco River, principally Vallisneria,
 Myriophyllum,  P.  perfoliatus and Ruppia.   In 1971,  sparse SAV growth extended
 north to the  upper marina area (see Table 56).

      Table 56. Historic documentation of SAV  by decades, Upper Middle Potomac
      River, Maryland and  Virginia
       Species
     Najas spp.

     Ceratophyllum
     demersum
                 1910
                        1920
                                1930
                                       1940
                                              1950
                                                       1960
1935(H)
                                                                  1970
Potamogeton 1915(H) 1921(H) 1936(H) 1945(H) 1954(H) 1960,1965(M)
perfoliatus 1938(H) 1969(M)
Ruppid 1915(H) 1943(H) 1969(M)
maritima
Myriophyllum
spicatum
P. pectinatus 1934
Vallisneria 1927(U) 1933
americana 1934
Elodea
canadensis
1952(H) 1960,1965(M)
1969(M)(H)
H) 1969(M)
H) 1946(H)
H)
1969(M)
1970-1971(M)
1972,1977(MB)
1970-1971(M)
1972(MB)
1970-1971(M)
1972,1977(HB)
1970-1971(M)
1970-1971{M)
1972,1977(MB)
1977(MB)
                                1977(MB)
     Nanjemoy Creek water was cloudy  throughout  1969.   Prior to  the heavy rains
in July, scattered Myriophyllum and traces of  P_.  pectinatus  were observed.
Water in the creek remained turbid throughout  1970  and  1971  and  no  SAV was
documented.  In 1972, MBHRL sampled the Nanjemoy  Creek  and noted a  pocket of
Vallisneria off Blossom Point at the  mouth of  the creek plus  some Myriophyllum
further up on the western shore.  Other than a pocket of Vallisneria off Taylor
Neck at Riverside anfl a trace of the  same species across the  river  from Quantico,
no other vegetation was documented from Port Tobacco to Quantico.   Sampling  was
                                      181
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not conducted by MBHRL from 1973 through 1976, but was resumed in 1977.  Haranris
(1977) surveyed the Potomac River for the MBHRL Survey and found that vegetation
appeared to be concentrated within a 46 km area extending from Sandy Point (just
south of Quantico on the Maryland shore) downstream to lower Cedar Point (just
south of the 301 bridge).  The majority of this river stretch is in Area 30.
Haramis found lush growths of Vallisneria in Goose Bay and Port Tobacco River
and _P. perfoliatus and scattered Myriophyllum sp., C_. demersum, E_. canadensis,
and P_. pectinatus throughout the 46 km area.  It is within this portion of the
Potomac River that the fresh and salt waters mix.

Area 31.  Lower Middle Potomac River

     The Milfoil Survey teams observed abundant P_. perfoliatus and P_. pectinatus
in the Breton and St. Clements Bays area in November of 1961.  Myriophy'i'lum was
found locally abundant in several of the feeder creeks and Ruppia and Zostera
were determined to be generally rare (see Table 57).

     The Wicomico River system was sampled by Rawls in August, 1965.  Myriophyllum
was found in abundance in many of the creeks and bays.  P_. perfoliatus was
abundant in St. Catherine Sound, Chaptico Bay and several creeks.  Ruppia was
observed occasionally and Najas was found in Dolly Boarman's Creek.

     In August, 1967, Chaptico Bay and the Wicomico were found by Rawls to be
quite turbid.  Najas was abundant in Chaptico Bay, Ruppia occasional and IP.
perfoliatus common.  The abundant Najas found in Dolly Boarman's Creek in 1965
was listed as rare to occasional near the mouth of the creek and occasional
inside the creek.  In September, 1968, Chaptico Bay was sampled again and Ruppia,
Najas and P_. perfoliatus were documented as occasional to abundant.  Approxi-
mately 25 to 30 ha of Myriophyllum were noted.  In a letter to John Steenis,
dated September 25, 1968, Rawls related the status of Myriophyllum in 1968 to
the explosive growth in the late 1950s and early 1960s.

     Water in the Wicomico by 1970 and 1971 was progressively more turbid up-
stream probably due to stream channelization that was in progress at Gilbert
Swamp.  SAV growth was observed to be scattered with one pocket remaining at
the mouth of Chaptico Bay in the Bassfold embayment.  Currioman Bay and Nomini
Creek were sampled from 1968 to 1971 as part of the Milfoil Survey but the
waters were determined to be too turbid for extensive SAV growth.  Limited
growth of Ruppia and Myriophyllum plus traces of £_. perfoliatus were documented.
In 1972, MBHRL found a trace of Zannichellia up Nomini Creek.

     In the Lower Machodoc and Glebe Creek area, no SAV was documented.  Glebe
Creek was observed to be very turbid from 1969 to 1971 due to extensive marina,
suburban and recreational development along the shoreline.  MBHRL summer
sampling in 1972 documented a bed of Vallisneria just off Persimmon Point.
Later, in 1976 and 1977, Uhler reported seeing sparse beds of Vallisneria at
the same location.  MBHRL did not sample the Potomac River after 1972 until
1977 when Haramis  (1977) reported having found an extensive bed of £. perfoliatus
and R. maritima on the southern shore of the 301 bridge.
                                     182
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     Table 57.   Historic documentation  of SAV by decades, Lower Middle
     Potomac River, Maryland and Virginia (Area 31)
Species
Potamogeton
perfoliatus
Ruppia
maritima

Myriophyllum
spicatum


Zostera
marina
P. pectinatus

Zannichellia
palustris
Vallisneria
americana

Elodea
canadensis
Najas spp.
1930 1940 1960
1961,1965(M)
1967,1969(M)
1966,1968(H)
1933(H) 1961,1965(M)
1935(H) 1967.1968CM)
1966,1968(H)
1960,1963(H)
1961,1965(M)
1967-1969(M)
1966(H)
1961,1965(M)
1968(M)
1933(H) 1961,1969(M)
1936(H)


1933(H)


1946(H) 1965(M)
1967-1968(M)
1970
1970(H)
1970-1971(M)
1972,1977(MB)
1977(MB)

1970(H)
1970-1971(M)


1972(MB)



1970-1971(M)
1972(MB)
1970,1971(M)
1972{MB)
1976-1977(U)
1970-1971(M)
1972(MB)
1970-1971(M)
1972(MB)
Area 32.   Lower Potomac  River

     The  Milfoil Survey  in 1961 documented virtually  no  SAV along the  northern
shore of  the Potomac River from Point  Lookout to the  western point of  the St.
Mary's  River (see Table  58).

     Table 58.   Historic documentation of SAV by decades,  Lower Potomac
     River, Maryland and Virginia (Area 32)
                Species
 1890
                                       1920
                                                    1960
                                                                  1970
              Potamogeton
              perfoliatus
              Ruppia
              maritir
                   ma
              MyriophyTlum
              spicatum

              Zostera
              marina

              P. pectinatus
         1928(H)    1961(M)


1894(H)   1928(H)    1961-1965(M)
                   1961(M)


                   1961,1963-1965(M)
                   1969(H)

                   1961,1963(M)
1973(H)
                                        183
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St. George Creek, by contrast, was found to contain abundant growths of
IP. perfoliatus, £_. pectinatus and Ruppla.  Herring Creek was abundant with
P.. perfoliatus, Ruppia and Myriophyllum. Big Ducks Creek, just to the north,
contained abundant Myriophyllum and occasional  Ruppia.  Blake Creek was also
documented as being abundant with Myriophyluum.

     Both shores were sampled in 1972 by MBHRL  but no vegetation was found.
When the MBHRL Survey was resumed in 1977, vegetation was listed as very sparse
(Haramis 1977).

Rappahannock River, Virginia

     The only documentation readily available for the Rappahannock River is
for the 1970s.  Orth studied aerial surveys of  the river in order to map SAV
beds but it was not possible to separate Zostera_ marina and Ruppia martima on
on the photographs.  It is probable that both species were in the river.  Priest
surveyed the river in the summer of 1977 and found the two species already men-
tioned along with Z. palustris and an unknown species of Potamogeton (see Table
59).

     Table 59.  Historic documentation of SAV by decades, Rappahannock River,
     Virginia
                Species                                 1970
            Ruppia                                    1971-1974(0)a
            maritima                                  1977(WP)

            Zostera                                   1971-1974(0)a
            marina                                    1973(0)a

            Zannichellia                              1977(WP)
            palustris

            Potamogeton                               1977(WP)
            (? epihydrus)
              Aerial survey by Orth did not differentiate between
              Zostera and Ruppia

Piankatank River, Virginia

     Documentation information for the Piankatank River is available only for
1971 through 1977.  Orth documented Zostera and Ruppia and Priest found two
beds of Zannichellia (see Table 60).  Data is insufficient for conclusions
regarding population or density changes.
                                      184
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     Table 60.  Historic documentation of SAV by decades, Piankatank River,
     Virginia
               Species                                   1970
         Zostera                                      1973(0)
         marina                                       1971, 1974(0)a

         Ruppia                                       1971, 1974(0)a
         maritima

         Zannichellia                                 1977(WP)
         pulustris
          Aerial survey by Orth did not differentiate between Zostera
          and Ruppia

Mobjack Bay, Virginia

     Ruppia maritima and Zostera marina
are the only two species of SAV that have been documented in Mobjack Bay.
Zostera was found in 1969 and also by two survey crews in the 1970s.  Ruppia
was sited by Orth and also by the MBHRL Survey personnel  during their one-and-
only survey of Mobjack Bay (see Table 61).

     Table 61.  Historic documentation of SAV by decades, Mobjack Bay,
     Virginia
               Species                1960                   1970
         Ruppia                       1969 (H)          1972(MB)
         maritima                                       1971,19/4(0)a

         Zostera                                        1972(MB)
         marina                                         1971,1974(0)a
          aerial survey by Orth did not differentiate between Zostera
         and Ruppia
                                      185
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York River, Virginia

     Historic documentation of aquatic vegetation in the  York River spans six
decades.  Zostera  has  been documented fairly steadily  since the 1930s (see
Table 62).  Vallisneria,  El odea, Ruppia and  'P.pectinatus have each been
listed once.  The  lack of comprehensive survey work in Virginia waters pre-
cludes any conclusions based on these random sitings.

     Table 62.  Historic  documentation of SAV by decades, York River, Virginia
          Species
   1920
1930
1950
1960
1970
       Potamogeton
       pectinatus

       Ruppia
       mantima

       Zostera
       marina
       Vallisneria   1926(H)
       americana

       El odea
       canadensis
                    1958(H)


                                     1971,1974(0)a


           1937(0)   1953(0)   1960(0)   1970,1973(0),
                             1963(0)   1971,1974(0)
                                     1975,1977(0)




                    1958(H)
       aAerial survey by Orth did not differentiate between Zostera and Ruppia
Tangier  Island,  Virginia

      The MBHRL Survey team surveyed Tangier Sound once in the summer  of 1972.
Ruppia was  found to be occasionally abundant butmostoften was present  in
trace amounts.  Zostera appeared to be  dominant and £_. pectinatus was found to
be  abundant around Fishbone Island but  was  otherwise not present  (see Table 63)
      Table 63.
      Virginia
Historic documentation  of SAV by decade, Tangier  Island,
                   Species
                                          1970
               Ruppia maritima

               Potamogeton  pectinatus

               Zostera  marina
                                        1972  (MB)

                                         1972  (MB)

                                         1972  (MB)
                                        186
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Pocomoke Sound, Virginia

     The Pocomoke Sound area was covered in 1972 by an MBHRL Survey crew.
As would be expected of such a high saline area, Ruppia and Zostera were
the only SAV species found. Zostera was the dominant species while Ruppia
was found mainly in only trace amounts (see Table 64).

     Table 64.  Historic documentation of SAV by decades, Pocomoke Sound,
     Virginia
                    Species                          1970
                Ruppia                               1972 (MB)
                maritima

                Zostera                              1972 (MB)
                marina
SUMMARY OF CONCLUSIONS

     Submerged aquatic vegetation in the Chesapeake Bay has changed in species
density, diversity and distribution over the past forty years (Renn  1937;
Rawls  1964; Sculthorpe  1967; Lind and Cottam  1939; Elser, 1969; Holm et al.
1969; Bayley et al.   in press).  Some native species have disappeared, domina-
nance patterns have changed, drastic fluctuations in yearly SAV populations
have been noted and seasonal patterns of growth, decline and reproduction
have shifted.

     Based on the lack of historic documented evidence for SAV in the Virginia
portion of the Cheapeake Bay, conclusions based on data presented in this
chapter pertain to Maryland Chesapeake Bay waters.  Information for Virginia
SAV is  primarily limited to the work of Orth and Priest, working independently
at the Virginia Institute of Marine Science.

     During the first part of this century, the upper Potomac and Anacostia
River estuaries were considered healthy ecosystems.  But since that time, the
flora and fauna of these upper tidal estuaries have diminished in diversity and
density. In other parts of the Cheapeake Bay estuary, similar declines have
been documented.  Seven species of SAV were documented in the Sassafras River
in the 1960s but only two have been found in the 1970s.  The Susquehanna Flats
that have served as a noted duck feeding ground no longer support the lush
growths of SAV that have been documented over the past century.  The Patuxent
River supported at least eight species cf SAV in the 1960s but only four species
 •ave been found in the 1970s.  Around Curtis and Cove Points, four species
 lave been documented since 1930 but MBHRL Survey teams have found nothing from
 i971 to 1976.

                                      187
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     Looking at the entire Maryland Bay,  there is  a general  downward trend in
vegetation occurrence and abundance, especially from 1971  through 1976.   But,
the losses appear to be random rather than predictable declines based on an
epicenter concept or a large scale natural disaster.   When data for decreasing
species are combined for 1971  to 1976, there is no visible consistent trend of
loss from any one point.  Unlike some situations,  such as  the  shellfish
mortality in the Chester River in which increasing declines  occurred down
river in a gradient pattern, the SAV survey pattern does  not indicate a
strong point source mortality.

     The basic questions which require consideration are  whether Bay vegetation
is (1) experiencing a normal population fluctuation, (2)  responding to pollu-
tion or other man-oriented impacts or (3) both..  The hypothesis of a normal
cycle situation requires historical documentation  of similar events in the past.
But there is no documentation of such a significant portion  of submerged flora
having been so negatively impacted for such a long period of time.   Only two
species have been known for dramatic populations  crashed  in  the past:  Zostera
and Myriophyllum.  In both cases, other Bay species were  able  to replace them
relatively quickly.  This was a different system response than what has  been
seen in the 1970s when all species seem to have been negatively affected.

     The variety and degree of human impacts, including a wide range of known
or suspected pollutants, appear to be of greater relevance to  recent declines
in rooted aquatics than a naturally occurring cycle event.  However, the
hypothesis that the Bay is experiencing a cyclic phenomenon  cannot be entirely
ruled out.  For example, the Bay has not appeared  to be as resilient in the
1970s to excessive storms as was evinced during the 1930s.  Hurricane Agnes
seemed to have resulted in a greater negative impact of longer duration than
comparable storms of the 1930s.  Slower regrowth after Agnes may have resulted
from negetive impacts incurred by the seagrass ecosystem due to man-oriented
impacts and pollutants.  Historic analysis of the  upper Potomac River and
Baltimore Harbor show once prolific vegetation areas now practically barren
of floral species, semmingly due to excessive nutrient and pollution levels.
Thus, if the Bay is experiencing a normal population fluctuation such a
hypothesis would require consideration of human impacts on such a cycle.

     Historic documentation of sufficient intensity and coverage necessary
to support a cyclic phenomenon hypothesis is lacking.   Therefore, those
environmental parameters that have been impacted by man's activities in and
around the Chesapeake Bay are discussed in the following  chapter.  Each para-
meter is discussed singly due to the mono-factorial nature of most experiments.
In that the environment is more realistically a multifactorial system, it is
likely that SAV declines have resulted from no single factor but from a
multitude of factors or synergisms.
                                       188
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                             CHAPTER 4


                ASSESSMENT OF ENVIRONMENTAL FACTORS
INTRODUCTION
    There are various environmental  and human related factors that affect the
establishment, growth and reproduction of submerged aquatic vegetation in the
Chesapeake Bay.   Included among these are agrochemicals, salinity, turbidity,
light,  bottom substrate, nutrients, fauna, epiphytes, pH, temperature,  heavy
metals, petroleum products and water movement.   Although there have been gradual
changes in many of the environmental factors over the years, others, especially
the human related factors, have changed more rapidly.

    The dynamic nature of the Chesapeake Bay as a wind driven estuary naturally
results in gradual changes in such parameters as salinity, bottom substrate and
fauna.  However, the changes that have resulted from increasing human impacts
have been much more rapid.  Increasing human population in the Bay area  has
affected land use patterns since 1900.  Agricultural land use has decreased;
fertilizer, lime and herbicide usage has increased; cropping practices have
changed; wetlands have decreased in  acreage by almost half.  Rising population
has also resulted in an increase in  water, electric, sewage and industrial  de-
mands.  In order to meet these demands, numerous water and sewage treatment
plants, hydro-electric and industrial manufacturing facilities have been estab-
lished in the Bay area.  All of these facilities utilize the waters of the Bay
and subsequently impact the estuarine system.

    In order to assess the causes for the apparent declines in SAV, the  various
factors that have changed within the Bay area must be analyzed.  This chapter
presents these factors and attempts  to selectively consider each one in  order
to determine the probable cause for  Bay grass declines.


AGRO-CHEMICALS

Introduction

    Land use patterns in Maryland and Virginia have changed drastically  since
the turn of the century.  For Maryland alone, total land area of wetlands and
agriculture has been halved since 1900 while forested land has increased slightly.
Of major interest to this document is the decrease in agricultural land  use
(see Table 65) and associated changes in cropping practices.  In order to
                                       189
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Table 65 oa
1 850-1 974a
Year
1850
1860
1870
1880
1890
1900
1910
1920
1930
1940
1950
1959
1969
1974
Total farmland

Maryland
(hectares)
1,875,521
1,956,956
1,826,241
2,071,996
2,004,232
2,092,329
2,046,625
1,925,562
1,770,319
1,698,861
1,641,273
1,398,954
1,134,553
1,079,611
in Maryland and Virginia

Virginia
(hectares)
No information
No information
No information
No information
No information
No information
7,889,884
7,511,682
6,770,072
6,655,254
6,302,108
5,312,012
4,309,999
4,492,170
 U.S.  Department  of Commerce  1974
 Approximate land area  in  Maryland  =
 2,574,799 hectares
Approximate land area  in  Virginia=
 10,428,180 hectares
                    190
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compensate for the decline in land available for agricultural  use, more
efficient cropping methods have been developed.   These changes have brought
about increased usage of fertilizers, limes and new selective  and contact
herbicides.

   No-till and minimum till cropping have become popular in the Bay area within
the past several decades due to economic and conservation requirements.  Though
often referred to by other descriptive terms, these tillage techniques result
in the least possible disturbance of the soil in order to effect seed placement,
weed control and crop maturation (Shear 1965).  Minimum soil displacement and
maximum plant ground cover resulting from these techniques aid in the control
of a varity of sound environmental practices: reduced wind and water erosion;
increased soil organic content; reduced soil moisture evaporation; and increased
infiltration of rainfall (Shear 1965; Bauemer and Bakermans 1972).

   No-till and minimum till farming require the use of greater quantities of
herbicides than conventional farming techniques.  The presence of herbicides
in agricultural runoff and the impact of herbicides to aquatic fauna and flora
have recently become an issue for environmental concern, especially in an
estuary such as the Cheapeake Bay where no-till has become popular.  Increases
in herbicide pound usage regardless of the source, have been implicated in the
recent SAV declines of the 1970s.  The role of no-till and minimum till farming
as a source of water and soil borne herbicides is unknown at the present time.
Despite the larger poundage rates that are necessitated with no-till farming
compared to conventional farming techniques, no-till farming appears to result
in reduced soil and water runoff.  Since runoff is the major avenue for the
introduction of herbicides into surrounding waters ,  no-till  farming could
possibly result in decreased amounts of herbicides reaching the aquatic environ-
ment.  The extent to which erosion is decreased in relation to increases in
herbicide poundage available to runoff has yet to be determined.

Fertilizers and Lime

   The use of chemical fertilizers and lime have long been recognized for
increasing crop yields.  In Maryland, the tonnage of fertilizers used since
1935 has about doubled while  lime usage has increased more than seven fold
(see Table 66).  Fertilizers have been used with direct aquatic application
for the control of submerged plants.  However, the possible impact to SAV of
fertilizer and lime runoff as yet remains largely unknown.

   Walker  (1959) conducted pond studies on the distribution of water soluble
fertilizer (N-P-K value of 16-20-0) applied at 22 to 38.5 kg/ha.  Effective
control of sago pondweed and mu kgrass resulted from a toxic reaction to the
fertilizer as well as by shading from subsequent plankton blooms.   Application
of 110 kg/ha of 0-46-0 or 220 kg/ha of 8-24-8 sometimes stimulated filamentous
algae growth.  Of the three fertilizers studied, 0-46-0 and 8-24-8 did not
control the submerged aquatic plants as effectively as 16-20-0.

   Using plastic pools, Ryan et al. (1972) conducted a study to determine the
effects of fertilization on the growth and mineral composition of three aquatic
plant species;  Eurasian watermilfoil, elodea and heartleafed pondweed.  A
                                      191
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Table 66 .
Maryland^
Year
1935
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
Total fertilizer and
1935-19763
Fertil izer
(metric tons)
149,644
149,621
169,109
151,065
149,410
145,534
156,088
165,873
180,508
188,355
198,041
222,178
232,351
211,746
222,610
229,775
249,571
264,376
269,309
282,536
281,829
253,875
269,211
255,231
278,970
271,434
269,971
294,991
323,593
311,003
327,534
367,201
345,425
332,445
334,018
347,903
335,819
337,189
400,825
396,436
340,810
398,871
lime used in
Lime
(metric tons)
54,215
77,439
106,180
90,823
89,502
114,467
117,375
128,275
176,279
207,431
208,368
248,919
266,788
204,614
199,626
266,343
281 ,085
266,018
251,512
253,969
267,571
266,192
Not available
234,477
260,191
250,119
253,985
264,537
274,419
268,867
328,010
265,085
236,230
245,415
254,085
226,784
180,617
205,410
251,786
323,519
293,511
385,349
aMaryland Department of Agriculture 1963-1977
                    192
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granular 8-8-2 fertilizer was used over two years and applied with three
different treatments:  a single application of fertilizer at a rate of 672
kg/ha; six weekly applications of the same fertilizer at 112 kg/ha; and an
unfertilized control.  The first year of the experiment the dry weight of
milfoil was significantly greater in the control  pools than in pools receiving
the six weekly applications, due to competition from filamentous algae.  Elodea
and heartleaf pondweed were not adversely affected since they were able to
grow through the mats of algae.  During the second experimental year, both el odea
milfoil controls had significantly greater yields than either fertilization
treatments.  Conversely, heartleaf pondweed had significantly greater yields
in the treated pools.

     Though available literature does not reveal  information concerning the im-
pact of fertilizers rich in runoff to SAV,Klausner et al. (1974) evaluated surface
runoff losses of nitrogen and inorganic phosphorus from moderately to somewhat
poorly drained soil as influenced by crop rotation, application rate and soil
management practices.  For the two year study, they found soluble nitrogen and
inorganic phosphorus losses ranged from 0.39 to 29.23 and 0.04 to 0.49 kg/ha/year
respectively.  Annual surface runoff of NhU-N was not significantly changed by
crop,  fertilizer application rate or soil management techniques,but was related
to heavy fall application prior to a wet period.   Inorganic phosphorus losses,
in comparison, were related more to application rate and soil management than
to time of application.

     Increased levels of organic material  in the water column,pi us nitrogen
and phosphorus, can give rise to eutrophic condi",ons where an aquatic ecosystem
is enriched beyond its assimilation and flushing capabilities.  Under such en-
riched conditions, minute algae plants or phytoplankton tend to thrive causing
decreased light penetration. This shading effect from phytoplankton can be
sufficient to actively decrease submerged aquatic vegetation.  Such a situation
has occurred in the Upper Potomac River where the water has been enriched far
beyond the assimilation and flushing capabilities of the river.  Agricultural
fertilizers,whether from direct aquatic application or from indirect runoff
sources,can provide the necessary enrichment for eutrophication.

     Stolp and Penner (1973) conducted an experiment which suggested the
possibility of increased phytotoxicity of herbicides when applied in conjunc-
tion with fertilizers. Though this study involved a terrestrial system, it is
possible that similar results would occur in an aquatic system.  Such a
synergism should be considered in the investigation of herbicide and fertilizer
runoff impacts to submerged aquatic vegetation.

     Table 67 lists available data on fertilizer usage for counties in the
Cheapeake Bay area.  Of the eight Eastern Shore counties for which poundage
rates were available, all but one showed increased usage from 1970 to 1976.
Of the eight Western Shore counties, half showed increased fertilizer use.

     The increased use of fertilizers around the Chesapeake Bay along with the
potential impacts of fertilizers in an aquatic system necessitate the inclusion
of fertilizers as a negative factor in an assessment of the effects of agro-
chemicals to the Bay.
                                     193
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Herbicides

     The importance of herbicides to agriculture has given rise to a vast
and current reservoir of avaiable information concerning mode of action,
degradation pathways, breakdown products, persistence, toxicity, etc.  under
terrestrial conditions.  Herbicides have also been used fairly extensively
in research concerning direct application for the control of nuisance growths
of submerged aquatic vegetation.  What literature does not include, however,
are the potential impacts of the indirect control of SAV from herbicide runoff.
After land application, herbicides can potentially enter near-by waters through
two mechanisms: leaching or dispersion into the dissolved portion of the water
column; and adhering to soil runoff particles.  Both surface and subsurface
runoff can be affected.

     Once on the soil surface the leaching potential of specific herbicides
is dependent on the  adsorptivity of the compound on varied soil colloids.
Degradation pathways and by-product formation are important in determining the
fate of herbicides in a complex ecosystem such as the Chesapeake Bay.   To deter-
mine the long-range impacts of herbicides, their chemical persistence and
toxicity to the flora and fauna must be understood.

     The dislodgement of soil particles by the water-soil erosion process is
termed "runoff".  Concentrations of a given herbicide differ substantially in
runoff based on differing soil types,land slope, application rate, weather
and herbicide characteristics. For example, if soil  moisture content is low, a
high infiltration; potential exists thus a brief rainfall of low intensity may
not produce runoff but mobile pesticides may still move into the ground water
system.  Under saturated conditions, some herbicides may be leached downward
in the soil profile, contributing to the subsurface runoff, dissolved in solution
suspended in particulate matter; or adsorbed to the sediment (Pionke and
Chesters 1973; Baiiley et al. 1974bJ.

     The most commonly used herbicides in the Chesapeake Bay area have been
researched for information  regarding degradation, volatility, fate in soil,
toxicity and availability for runoff.  Table 68 lists various general  proper-
ties of the common herbicides and the following section discusses experimental
work on terrestrial and aquatic ecosystems.

     Cationic Herbidices - Diquat and Paraquat.  Diquat and paraquat, cationic
herbicides first described by Brian et al. (1958), are commercially available
as dichloride and dibromide salts that readily dissociate in aqueous solutions.
The herbicidal action of these compounds is dependent on the paraquat or diquat
parent cation and results in the liberation of short-lived but active radicals,
are responsible for herbicidal activity (Weed Science Society 1974).

     Photochemical degradation.  Photochemical breakdown of diquat and paraquat
occurs upon exposure to ultra violet (UV) light (Slade 1965; Coates et al. 1966;
Smith and Grove 1969; Funderburk et al. 1966).  The two major degradation pro-
ducts of paraquat have been identified as 1-methyl-l-carboxypridinium ion and
methylamine hydrochloride. The first degradation product displayed a low level
of toxicity and degraded rapidly in soil and culture solutions (Calderbank 1968).
                                      195
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Table 68.   Properties of commonly used herbicides
Herbicide
IONIC HERBICIDES
I. Cationic
Diquat
(Orthodiquat)
Paraquat
(Orthoparaquat)
II. Basic
Atrazine
(Attrex)
Simazine
(Princep)
III. Acidic
2,4-D
(Weedone 648)
Dicamba
(Banvel D)
Dinoseb
(Premerge)
NON-IONIC HERBICIDES
Chemical name

6,7-dihydrodipyrido-
(l,2-a:2,l-c)-
pyrazidiinum dibromide
l,l-dimethyl-4,4-
bypyridinium-
dichloride
2-chloro-4-ethylamino-6-
isoprophlamino-s-
triazine
2-chloro-4,6-bisiso-
propylamino-s-triazine
2,4 dichlorophenoxy-
acedic acid
3,6-dichloro-o-
anisic acid
2-sec-butyl-4,6-
dinitrophenol

Water Vapor pressure
solubil ity mm Hg
20 C - 25 C 20 C (xlO-6)

70% very low
70% very low
pH 3: 0.3
31 ppm
pH 7:
35 ppm
pH3: 0.0061
5.9 ppm
pH 7:
5.0 ppm
650 ppm at 160 C:
0.4
4500 ppm 3570
52 ppm 1.0

Molecular weight Parachor

cation: 184.0
dibromide salt: 344
cation: 186.2
dichloride salt: 257
215.7
201.7
221.0
221.0
240.2

IV. Substituted Anilines
Trifluralin
(Triflan)
V. Phenylureas
Linuron
(Lorox)
•x^ct-tri f luro-
2,6-dinitro-N,N-
dipropyl-p-toluidine
3-(3,4-dichlorophenyl)-
1-methoxy-l -methyl urea
0.05 ppm 114
75 ppm 15
335.3 671
249.1 499
VI. Substituted Am Tides
Alachlor
(Lasso)
2-chlor-2,6-diethyl-
N-(n,ethoxymethyl )
148 ppm 22
269.8 626
              acetanilide
                                      196
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Diquat in solution was found to degrade to 1,2,3,4-tetrahydro-l-oxo-pyrido-
(1,2-a)-5-pyrazinium ion (Slade and Smith 1967).   A second minor product re-
sulted in the formation of pyridones that decomposed into volatile fragments
(Ellis et al. 1956).

     Little degradation occurred when paraquat in solution was exposed to
sunlight because the absorption of UV light by aqueous paraquat occurs at
257 nm.  The lower limit of the solar spectrum is 290 nm (Jordan et al.  1965 ;
 Slade 1966), thus aqueous paraquat stayed intact.   Paraquat dichloride  droplets
photodecomposed when applied to maize, tomato and broad bean plants (Slade 1966).
Contrasting paraquat, diquat readily decomposed in aqueous solution when exposed
to UV light due to diquat's ultraviolet absorption band of 310 nm.   Calderbank
(1968) found the rate of photodecomposition of diquat sprayed on grass to be
faster than for paraquat.

     Haque et al.  (1970) detected a shift of UV light absorption by aqueous
paraquat to 278 nm when montmorillonite clay was  added to solution.  Funderburk
et al.(1966) observed that photochemical degradation of paraquat adsorbed on soil
and clay minterals (kaolinite and montmorillonite)  occurred when exposed to UV
light from a mercury lamp.  In open soil  situations paraquat and diquat  can be
quickly degraded but since there is little UV penetration in the tributaries of
the Bay (Shea 1976), herbicide molecules  are probably much more stable in the
aquatic environment.

     Volatilization.  With exposure to UV light,  both diquat and paraquat are
degraded into volatile compounds when they are in dry form.  Normally, however,
the volatility of the bipyridylium compounds  is considered low due to their
low vapor pressure.

     Fate in Soil.  The efficacy of diquat and paraquat in no-tillage crop
production is dependent on the rapid foliar necrosis of existing vegetation
and subsequent loss  of herbicidal activity.   This rapid inactivation is common
to the biphriylium herbicides. Brian et al. (1958) reported that diquat  was water
soluble (0.7 g/ml  at 20 C) and that was rapidly adsorbed to soil particles.
Detailed studies by  Harris and Warren (1964)  in which adsorption of chemicals
from various solutions was measured, indicated that diquat was strongly  adsorbed
by organic soil, clay mineral bentonite and cation-exchange resins.  This
research further concluded that the removal of the diquat cation from solution
in organic soil occurred by the ion exchange process.  The herbicide cations
displaced potassium ions from an organic soil saturated with potassium.

     Calderbank and  Slade  (1975) cite the work of Malquori and Radaelli  (1966)
who compared the effectiveness of NH^ +,  K+,  Ca++, Mg++ and Na+ for releasing
paraquat adsorbed to five  different clays.  Generally, K+ and NH^"1" were  the most
effective exchange ions; however, no paraquat was released when the concentration
on clay was below a  certain limit.

     Soil adsorption of paraquat occurs in varying degrees of binding from un-
bound to tightly bound and often makes the herbicide unavailable for control of
sensitive plants.   The amount and strength of paraquat adsorption by soil de-
pends on the amount and type of clay minerals present as shown above. For example,
                                     197
 image: 








bipyridylium cations are tightly adsorbed in the  latice  of montmorillonite
(Knight and Denny 1970)  whereas herbicidal  adsorption  by kaolinite  is  more
loose because adsorption occurs on the face of the clay  particles  (Coates  et al.
1966).

     At treatment levels much higher than normal  application  rates  (0.25 to
1.0 yg/g soil), unbound  paraquat has been found to remain on  top of the soil
and inhibit germination  of such crops as corn and beans  (Riley et  al.  1976).
The concentration of paraquat that inhibited germination varied according  to
soil type: 200 yg/g soil in sandy soil; 1200 yg/g in  loamy sand; 2500  yg/g soil
in loam, and 4000 yg/g soil in muck (Tucker et al. 1969). For most  soil  types,
except sand, phytotoxic  residues at higher doses  are  accounted for  by  assuming
weak adsorption sites.  These sites are available on  soil surfaces  after the
stronger binding sites are occupied.  Stevenson (1976) found  that  on organic
soils and compost (14 percent organic matter) with low numbers of  strong
binding sites at the soil surface, a sufficiently strong salt solution may form
during percolation to displace loosely held paraquat  attached on weak  adsorption
sites, thus making paraquat available to sensitive plants.

     Greater phytotoxicity ofparaquat on peat and  muck does not accord  with the
behavior of most other herbicides in organic soils since organic matter tends
to provide numerous adsorption sites.  The strength and  interaction between
paraquat and organic matter is apparently sufficient  to  prevent leaching but
may not prevent the stronger adsorption sites on  a seed  from  adsorbing the
paraquat bound to organic particles.

     Paraquat is known to transfer not only from organic particles  to  seed par-
ticles but also to  transfer from organic matter to sites on  clays. Thus,
paraquat is not leached in soils,yet is available to  seeds sown on  treated
surfaces.  Also, the phytotoxicity of diquat and paraquat in  highly organic
soils decreases as pH increases due to the anionic nature of  the soil  colloids
with pH increase (Corbin et al. 1971).  A comparison  of diquat and paraquat
adsorption suggests that their soil adsorption behavior  is very similar.  Al-
though both herbicides can be adsorbed on clay, paraquat is preferentially
absorbed and is more difficult to displace.

     Hance (1967) studied the possibility of decomposition of paraquat in
soil by nonbiological processes.  Experiments using incubated soils were
designed to inhibit biological degradation and promote chemical degradation.
Under these conditions paraquat was stable.  When paraquat was mixed in pots
of soil, no loss of herbicide was reported after 14 to 16 months.   Experi-
ments with bibyridylium herbicides show that eventually strong binding sites
on clay minerals are reached and degradation occurs only with difficulty.

     Research by Fryer et al. (1975) indicated that paraquat  displayed persis-
tence in sandy loam soil.  Paraquat applied over a period of  seven years was
totally extractable from the soil.  Experiments by Weber and  Cable (1968)
showed that 14C diquat retained on the interal surfaces  of montmorillonite
clay was not degraded by microorganisms.  After one year the  diquat was ex-
tracted in its original  form.  Diquat as well as paraquat adsorbed by  mont-
morillonite could possibly persist indefinitely in its original molecular form.
                                     198
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     Microbial decomposition.  According to Funderburk (1969) the degradation
pathway of paraquat by a bacterial isolate began with demethylation of the
parent molecule followed by ring cleavage of one of the heterocyclic rings to
form a final carboxylated n-methylpyridinium ion product.   It is possible that
other intermediate compounds form during degradation but they have not been
recorded.

     Baldwin et al.  (1966  cited in Funderburk 1969) studied  numerous organisms
in synthetic media for the ability to use paraquat as a sole carbon or nitrogen
source.  Corynibacterium fascians and Clostridium pasteurianum were found to
decompose the paraquat molecule at variable rates.  A soil  yeast, identified as
Lipomyces starkeyi,  decomposed paraquat and demonstrated a  preference for
paraquat over nitrate nitrogen.  When montmorillonite clay  was added, degrada-
tion by the yeast organism was observed to cease (Weber and Cable 1968).
Utilizing labeled paraquat, Burns and Audus (1970) determined that cultures con-
taining high organic soil demonstrated significant paraquat decomposition by
the yeast compared to soils with a lower organic content.

     Aquatic Weed Control.  Diquat and paraquat were observed by Blackburn and
and Weldon (1964) to be two of themost promising herbicides for the control of
Najas guadalupensis  in irrigation channels in Florida.  Paraquat was applied at
5 and 10 ppm while diquat was applied at 1.5 and 2.5 ppm.   After eight weeks
both herbicides effected 100 percent weed reduction.  Approximately 20 weeks
following initial treatment, there was still 80 to 85 percent growth inhibition.

     Yeo (1966) found concentrations of 250 ppb diquat controlled sago pondweed,
American elodea and  common naiad for eight weeks or longer.  Curlyleaf pondweed
was controlled for four to six weeks with increasing concentrations of diquat
up to 1,000 ppb.   Coontail and American milfoil were eliminated at 500 ppb but
Chara appeared to be tolerant of diquat up to concentrations of 1,000 ppb.
Coontail and American milfoil were eliminated at 500 ppb but Chara appeared to
be tolerant of diquat up to concentrations of 1,000 ppb.  Elodea, coontail,
and duckweed were controlled with 500 ppb diquat in growth  pools.  Paraquat was
found to control  sago pondweed and American elodea at a concentration of  250
ppb when applied in  reservoirs.  In growth pools 1,000 ppb  paraquat controlled
coontail, American elodea and sago pondweed.

     Once incorporated in ponds, diquat has been found to dissipate rapidly
(Coates et al. 1964; Frank and Comes 1967; Grzenda et al.  1965; Yeo 1966).
It becomes readily bound to sediments, suspended particulate matter and to the
surfaces of aquatic  plants due to its cationic binding properties.  Another
manner in which diquat is removed from the water column is  through uptake by
aquatic plants and algae (Newman and Way 1966; Davies and Seaman 1964).

     A study by Funderburk and Lawrence (1963) of the absorption and translocation
of radioactive herbicides in water star grass (Heteranthera dubia) indicated that
diquat and paraquat  were taken up by both roots and shoots.  Radioassays  detected
slight movement of root-applied herbicides to the upper portion of the stem.
There was no movement in the downward direction.  Other aquatic weed species,
such as Elodea canadensis and Potamogeton pectinatus, have  been shown to  absorb
root-or foliar-applied diquat (Funderburk and Lawrence 1963; Davies and Seaman
1964.

                                      199
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     A study by Simsiman and Chesters (1975)  indicated that with    1.5 yg/ml
diquat applied to weeds of an infested impoundment,  after 22 days,  19 percent
of the chemical remained in the sediment.    The herbicides associated with the
decayed plants tended to remain in  the organic  layer  if no sediment  incorporation
occurred.  Following rapid weed kill, profuse proliferation of micoorganisms  was
found which may have helped in the  degradation  of diquat.   Surges  in bacterial
numbers have also been observed in  water immediately after paraquat treatment
in weed infested reservoirs and lakes (Way et al. 1971;  Fry et al.  1973).   Since
diquat and paraquat are weakly bound to decomposed weeds,  these chemicals  are
more susceptible to microbial degradation  than  if they were adsorbed on clay
particles.  Slow microbial degradation of  sediment adsorbed diquat  was demon-
strated by Simsiman and Chesters (1975) After 0.3 kg/ha diquat application in
a pool, a maximum of 1.7 yg/g was found in the  sediment after four  years.

     Frank and Comes (1967) studied herbicide residues of diquat  and paraquat
in pond water and soil.  High concentrations  of paraquat persisted  for several
days in the water column but by the 12th day, adsorption  by soil  appeared  to  be
complete. After 85 days, concentrations of paraquat  were  found in  the soil
fraction.  Diquat acted similarly but still  persisted in  high concentrations  in
the soil after the 160-day experiment.

     Basic Herbicides - Atrazine and Simazine.   Atrazine  and simazine are  members
of the herbicidal group called the  s-triazines.  This group characteristically
consists of ba^sic compounds that become associated with hydrogen-forming pro-
tonated complexes in solution (Allcook 1967).  The quantity of complexes formed
is governed by equilibrium forces.

     The herbicidal action of s-triazine compounds was first discovered in
1952 by a group of researchers from J. R.  Geigy,  Ltd. in  Switzerland (Gysin
and Knusli 1954, cited in Esser et  al. 1975).  In 1956, a product specified as
simazine was described and found to be highly selective with long-lasting  re-
sidual durability.  Atrazine, today's primary s-triazine  for weed  control  in
corn, was developed and released for experimentation in 1957 and  became
commercially available in 1958.

     The mode Of action of these s-triazine compounds is  to inhibit the photo-
synthetic Hill reaction, thus irregulating the photosynthetic mechanism (Gysin
and Knusli 1960).  Atrazine and simazine are widely  used  for control of broad-
leaf and grassy weeds in corn and other crops (Weed  Science Society 1974).
These herbicides became popular due to their outstanding  tolerance  by corn and
effective spectrum of weed control.

     Roeth and Lavy (1971), cited in Esser et al. (1975)  found that extracts
from corn mixed with atrazine or simazine  formed some of the same  hydroxy  deri-
vatives when incubated.  The inability of most plants to hydrolyze  chloro-s-
triazine compounds causes these chemicals  to have a  broad spectrum of weed
control.  Discoveries revealed that the compound in  corn  which is  capable  of
inactivating the simazine or atrazine molecule is 2,4-dihydroxy-methoxy-l,4 (2H)-
benzoxazin-3 (4H)-one (DIMBOA) (Palmer and Grogan 1968).   Corn is  capable  of
forming hydroxyatrazine as the predominant degradation product.
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     Photochemical Degradation.  Atrazine, when subjected to UV light, undergoes
photochemical decomposition which brings about a color change of white to tan.
Far-UV irradiation has been demonstrated to cause the greatest chemical  and
physical change.  (Jordan et al„  1964; Jordan et al.  1965).    Different reaction
products have been isolated depending on the environmental conditions of the
experiment.  In aqueous  solution 2-chloro-s-triazines degraded to 2-hydroxy ana-
logs; however, in alcholic solution, 2-alkoxy derivatives were formed (Nikles
and Ekner 1963).

     Loss of atrazine and simazine is rapid following light exposure; this
reaction decreases with time.  This decrease is caused by a masking effect which
occurs with the build-up of decomposition products that partially protect intact
herbicide molecules from photodegradation.  Comes and Timmons (1965) found that
atrazine and simazine directly sprayed on soil were detoxified by exposure to sun-
light.  Exposure of atrazine caused a 47 percent atrazine loss in 25 days in the
spring and 65 to 80 percent loss  in summer.  Simazine loss due to irradiation in
spring was 25 percent after 25 days.  However, volatilization may have occurred
simultaneously decreasing the actual amount of chemical decomposition thought to
be caused by photolysis.   Herbicide degradation in  control  soils where atrazine
was incorporated into the soil and thus not exposed  to light was negligible,
indicating that atrazine had greater persistence when buried beneath the surface.

     Volatilization.  As mentioned above, herbicidal  s-triazines have been
shown experimentally to be subject to volatilization.  Volatility loss is
dependent on soil type, temperature, moisture content and the physical and
chemical nature of the individual s-triazine compound.  Weed Science Society
(1974) lists atrazine as having a vapor pressure of  0.3 x 10~6 mm Hg at 20 C
indicating slight volatility.  Simazine's vapor pressure is 0.0061 x 10~6 mm Hg
at 20 C which suggests a relatively low rate of volatility.

     Kearney et al. (1964) applied several s-triazines to Tifton loamy sand at
a rate of 3.3 kg/ha to record losses resulting from  volatilization.  Results
indicated that simazine was a fairly stable compound with slight volatilization
occcurring at 35 C.  Davis et al. (1959) reported that 50 percent of simazine
originally applied to a metal surface volatilized at 71 to 73.5 C with less
volatilization occurring at lower temperatures.

     Within the s-triazine group, atrazine is one of the most volatile s-triazine
compounds.   Kearney et al.(1964) found losses of atrazine from all soils studied
with a volatility most rapid from light textured soils.  Increasing temperatures
in 10 C increments tended to double the loss of atrazine.  After 72 hours at
45 C, more than half of the atrazine was lost from Bosket loam (51 percent sand,
42 percent silt, 7 percent clay,  0.6 percent organic matter) and Cecil sandy
loam (66 percent sand, 21 percent silt, 14 percent clay, 0.8 percent organic
matter).

     Kearney et al. (1964) also found that moisture  content of soil affected the
rate and quantity of herbicide volatilization though simazine loss from moist
soil was small compared to atrazine.  On dry soils,  simazine loss increased
indicating that it is more volatile under dry conditions. Differences in volatility
due to moisture content was attributed to the water solubility of the various
s-triazines, their penetration depth in soil and basic differences of herbicide
adsorption to binding sites in the soil.

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     Fate in Soil.   Residual chloro-s-triazines persist in soil.   The least
amount of leaching was found  by Nearpass (1965) to occur in organic or heavy
textured soils versus light textured soils.    Nearpass concluded that organic
matter content of soil was correlated with adsorption of simazine.   A decrease
in the mobility of s-triazine in soil reflected an increase in their relative
adsorption.

     Simazine was found to have greater mobility in sandy soil than in clay soil
(Stroube and Bondarenko 1960).   Accordingly, atrazine was mobile in a fine
sandy loam with less leaching from Drummer clay loam (25 percent sand, 45 percent
silt and 30 percent clay).  Clay has been found to nearly cease the mobility of
simazine in 24 percent clay content soils (Gast 1959).

     S-triazine movement in four Maryland soils was observed by Harris (1966)
utilizing soil columns subjected to an upward free-flowing water supply.  Atrazine
moved to the upper segments of the experimental columns indicating  a leaching
potential. Although often thought of as degrading quickly, atrazine residues have
been found in the subsoil as  well as top soil for extended periods  after planting.
Burnside et al. (1963) found  0.8 ppm atrazine at 45 to 60 cm depth  of silty  clay
loam soil 16 months after a 2.75 kg/ha treatment.

     Experiments by McGlamery and Slife (1966) indicated that pH affects adsorp-
tion to a greater extent than temperature on Drummer clay loam soil. Atrazine
adsorption  increased markedly as pH decreased below pH 6; desorption increased
as pH and temperature increased.

     Weber (1970)and Weber et al. (1969) found adsorption on hydrogen saturated
montmorillonite clay occurred as the basic triazine molecule complexed with
hydrogen ions on the adsorbant surface.  Triazine molecules desorbed from clay
with the introduction of acids, bases or salts to the bound system.

     Normally, clay and organic matter function as a unit to adsorb the s-tria-
zines.   Weber (1970) found that the interaction of organic matter  with clay pro-
vided an inorganic surface for adsorption.  In the final analysis,  however, the
quantity of organic matter surrounding the clay particles regulated the adsorp-
tive capacity of the soil.  It was determined that different types  of organic
matter had varying numbers of reactive groups available for hydrogen bonding.
The prevalence of these reactive groups was concluded to be responsible for dif-
ferences in relative adsorption values in soils of high organic matter content.

     Microbial Degradation.  The major mechanism for microbial degradation of
the chloro-s-triazines is dealkylation.  Kaufman and Kearney (1970) also found
microbial degradation to occur through hydroxylation and ring cleavage with
subsequent C02 release.  The soil organisms effective in degrading  atrazine and
simazine included various genera of bacteria and fungi.

     Roeth et al. (1969) studied the effects of temperature, moisture and micro-
organisms on the degradation of atrazine.  Degradation occurred two to three
times more quickly in top soils compared to subsoils and increased  by a factor of
two to three with 10 degree temperature increments from 15 to 35 C.  Increasing
soil moisture content further augmented ring cleavage of IlfC labeled atrazine.
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     Goswami and Green (1971) studied the degradation of atrazine and its
hydrolysis product, hydroxyatrazine, under laboratory conditions of limited
aeration similar to those found in marine and estuarine sediments. llfC-ring
labeled atrazine was added to 5,0 g soil to give 10 pg atrazine/g Kapaa soil
and 20 yg atrazine/g Molokai soil.  Degradation was measured in submerged
Kapaa soil (10.5 percent organic matter, 31.8 X 106 bacteria/g soil, pH 4.7)
and submerged Molokai soil (3.4 percent organic matter, 1.4 X 106 bacteria/g
soil, pH 6.4) by measuring llfC02 evolution.  In 30 days, 0.02 percent of the
added atrazine evolved from the Molokai soil  and 0.59 percent from the Kapaa
soil.  The higher percentage of organic matter and microbiological population
present in the Kapaa soil was hypothesized to have resulted in enhanced de-
gradation of hydroxyatrazine to C02.

     Runoff Losses.  In a field experiment designed to maximize runoff losses,
Hall et al.  (1972) applied from 0 to 9.0 kg/ha atrazine as a pre-emergent to
corn plots of Hagerstown silty clay loam on a 14-percent slope.  With increasing
rate of herbicide application water and soil  runoff generally increased as did
levels of atrazine in runoff water.  Twenty-three days after herbicide applica-
tion, the first rainfall event yielded atrazine concentrations from 0.39 to
4.68 ppm in runoff water.  A subsequent rainfall nine days later yielded con-
centrations of atrazine in runoff water from four to five times less.  Gen-
erally, total atrazine loss was proportional  to the water loss during the
growing season.  Despite occasional higher concentrations in the sediment, Hall
et al. (1972) recovered greater quantities of atrazine from the water fraction
compared to the sediment portion.   Atrazine  lost in the water fraction ranged
from 5.0 to 61.0 g/ha with increasing herbicide application rate.  The amounts
lost from soil sediment on the same date ranged from 1.2 to 3.0 g/ha.  Greatest
percent loss of total applied atrazine occurred in runoff water with a treatment
rate of 1.1  kg/ha with 3.67 percent loss and the lowest was at0.6kg/ha with  a
loss of 1.7 percent.  Losses in eroded sediment increased from 0.03 to 0.28 per-
cent as application rates increased from 0.6  to 9.0 kg/ha.  Hall et al. (1972)
concluded that during the early growing season, the amount and frequency of
rainfall were particularly important in relation to runoff losses.  Mid and
late-season water losses appeared to have been influenced by crop density and
evapotranspiration.  Concerning the contamination of waters adjacent to areas
treated with atrazine, Hall et al. concluded  that impacts would probably be
minor providing atrazine was applied at recommended levels and good soil and
crop practices were maintained.

     Bailey  et al. (1974a_) studied soil type and application rates for atrazine
and dichlobenil (DCBN) in relation to runoff from a simulated 100-year frequency
storm event.  The two herbicides were applied simultaneously to four Coastal
Plain soil types according to Table 69,

     Sediment and water fractions were measured at five-minute intervals during
the two-hour simulation.  Herbicide concentrations in both fractions were
highest during the first 40 to 50 minutes of  the storm, then decreased unevenly
over the next hour.  In attempting to explain this uneven decrease in concen-
trations of both herbicides, Bailey et al. (1974a) concluded that initial high
runoff concentrations resulted in the removal of the "zone of erodibility."
Once leaching action depleted this layer of herbicide concentration and soil
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removed by storm-related erosion, losses of atrazine and DCBN decreased.
Herbicide runoff during this lower concentration period resulted from the
diffusion of herbicides up to the laterally moving layer from a lower pesticide-
rich zone.  A second herbicide runoff concentration increase occurred when this
pesticide-free zone was removed exposing the pesticide -rich zone to erosion.
Variations in this "plateau" effect resulted from varying herbicide solubility,
soil permeability and infiltration characteristics.

     In comparing runoff by soil  type, Bailey et al.  (1974aJ found that herbicide
loss was less from the Dothan plot.  Herbicide loss appeared to be related to
loss of clay-sized soil particles and water.  Average losses of atrazine  and
DCBN showed a loss of 10.7 percent total applied atrazine compared to a loss of
6.6 percent total applied DCBN.  Individual  adsorption characteristics of the
two herbicides were not determined to be dominant in relation to runoff.

     Recent runoff studies from an agricultural  watershed within the Chesapeake
Bay area involved surveillance of a cornfield in the Rhode River watershed
(Wu et al. 1977).  The plowed zone of this silty loam soil type was 3 to  0.15
percent organic matter.  For this soil type  runoff loss of atrazine was calcu-
lated to be 1.2 percent.

     Recent field sampling by Correll et al. (1977) in several  Chesapeake Bay
estuaries (discussed in detail later) indicated that atrazine had been found at
concentrations up to 8 ppm in sediments.  Bioassays by Correll  et al. showed
that while 1 ppm atrazine in sediments appeared to have no negative impacts to
Zannichellia palustris, at a 10 ppm level  in sediments, atrazine effected de-
creases in net 02 production and gross photosynthesis.

     Table 69.  Atrazine and DCBN applications to four Coastal  Plain
     soil types9
          Soil Type
        Slope
      (percent)
          Atrazine
          kg/ha
             DCBN
            kg/ha
     Dothan sandy loam
     Red Bay sandy loam
     Mai bis (Bowie) sandy clay
     Malbis (Bowie) sandy clay
loam
loam
2.2
2.5
3.6
5.7
1.68
3.36
1.68
3.36
6.72
6.72
6.72
6.72
     aBailey, et al.

     Aquatic Weed Control.  Atrazine and simazine first tested for aquatic
weed control in Missouri farm ponds by Walker (1964).   In one pond,atrazine
was applied at 0.2 to 6.0 ppm to 11 submersed vascular plant species and four
species of filamentous algae.  Seasonal growth inhibition was generally ex-
hibited at low concentrations (0.5 ppm).  Complete eradication for more than
a year was achieved at higher application rates (1.0 ppm).  Specific data
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indicated that an application rate of 1.0 ppm atrazine controlled Najas flexilis
in more than 50 percent of the open treatment plots.   Out of 414 tests, approxi-
mately 66 percent control was achieved in whole ponds and plastic enclosures,
and 22 percent control was found in open plots.  The  granular formulation of
simazine was determined to provide control of rooted  aquatics, while the wet-
table powder was a more satisfactory inhibitor of algae.

     Norton and Ellis (1976) demonstrated that simazine was highly effective
and selective at controlling blue-green algae.  Rates required for algal control
were 0.25 ppm in thermally stratified lakes.   In non-stratified lakes, poor
planktonicalgal control resulted since simazine was not contained above the
thermocline as in stratified lakes.  Since simazine was incorporated in the
hypolimnion zone, double the concentration  (0.5 ppm) was needed for algal
control.  Norton and Ellis found with both 0.5 and 0.25 ppm treatment levels
that Chara spp., Myriophyllum spp., Vallisneria americana and Potarnogeton spp.
present in lakes were not eliminated but exhibited growth suppression.

     Since simazine affects the Hill reaction in photosynthesis, it results
in a reduction in the amount of dissolved oxygen in the aquatic environment.
Nutrient cultures of El odea canadensis treated with 0.12 to 1.0 ppm simazine
showed signs of inhibited 02 evolution within 24 hours (Sutton et al.  1969).
At the 1.0 ppm treatment level, normal evolution of 12.0 to 14.0 ppm dissolved
02 was reduced to 8.0 ppm 02.  Even at a low treatment of 0.12 ppm simazine
caused a significant reduction of dissolved oxygen.  Sutton et al.  (1969) con-
cluded that decreased photosynthesis of aquatic plants after chemical  treatment
and the decrease of oxygen resulting from decaying vegetation suggested a
deterimental impact to aquatic fauna and flora.

     Funderburk and Lawrence (1963) conducted experiments to determine the
mode of uptake of s-triazines.  Autoradiographs of a  labeled simazine-treated
submersed weed, waterstargrass (Zosterella dubia), indicated that both shoots
and roots were able to take up simazine.  Movement of the carbon-labeled herbi-
cide from roots to shoots and vice versa was  observed.  Significant downward
trans location of simazine has also been observed in terrestrial plants (Funderburk
and Lawrence 1963).

     The characteristic herbicidal effect of both the  atrazine and simazine
treatments is a chlorotic appearance and progressive  decomposition of affected
SAV plant parts (Walker 1964).

     Acidic Herbicides--2, 4-D, Dicamba and Dinoseb.   Acid herbicides  ionize
in aqueous solution to yield anionic groups and include the chloro-phenoxyacids
(2,4-D), substituted benzoic acids (dicamba)  and the  weakly acidic phenols
(dinoseb).  The chloro-phenoxyacids were introduced as selective weed-killers
at the end of World War II and are unique due to their high activity against
many broad leaved species but not against graminaceous species (Peterson 1967).
Acidic 2,4-D is readily absorbed by both leaves and roots and is concentrated
at the root and shoot meristems.  Acidic 2,4-D causes abnormalities in growth,
respiration, food storage and cell division (Weed Science Society 1974). Of
the benzoic acids, dicamba was introduced in  the early 1960s as a selective
herbicide for pre-emergence and post-emergence growth regulation of annual
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broadleaf and grassy weeds in cereals  (Velsicol  Chemical  Corp. 1967).   The  acidic
phenols are among the oldest known organic pesticides  (Kirby  1966).   Dinoseb
controls seedling weeds and grasses and established  perennial  weeds  (Weed  Science
Society 1974).  Dinoseb causes cell necrosis   through  direct  leaf contact.

     Photochemical Degradation.   These three  acidic  compounds  degrade photo-
chemically.  Irradiated solutions of isopropyl  and butyl  esters  of 2,4-D in
distilled water were degraded to 2,4-dichloro-phenol at a rapid  rate  (Ellis
et al. 1941).  Bell  (1956) found that  the concentration of 2,4-D decre^ia
continually after exposure to UV light. Photodecomposition of  2,4-D  compounds
proceeded at relatively slow rates at  pH 4.0  and more  rapidly  at pH  7.0 with  a
maximum rate reached at pH 9.0.   Dinitrophenols, including dinoseb,  also appear
to be more stable in acidic solutions.  However, they  are susceptible to de-
composition by UV radition in alkaline solution  (Molnar 1935,  cited  in Kaufman
1976).

     Volatilization.   Dicamba is considered  stable  and non-volatile.  The
volatility of 2,4-D depends on the formulation used.   The least  volatile are  the
oil soluble amines.   Inorganic salt and acid  formulations are  less volatile than
the esters which can vary from low to  high volatility    (Weed  Science Society
1974).

     Dinoseb is reported to volatilize from soil surfaces (Davis 1956).  This
latter observation is consistent with  dinoseb1s  relatively high  vapor pressure
of 1.0 X 10~6 mm Hg (at room temperature).  Dinoseb  also exhibits a  higher rate
of volatilization in moist soils with  increasing temperature.   Plant kills by
dinoseb vapors have been reported in literature (Hollingsworth and Ennis  1953,
cited in Kaufman  1976; Davis and Selman  1954;  Swanson et al. 1953).  Hollings-
worth and Ennis (1953) found that a two to three degree temperature  change
between 28.8 and 35.5 caused an 18 to  69 percent increase in  plant mortality
due to increasing vapor  activity.

     Fate in Soil.  Weber (1972) found the mobility  of acid herbicides to be
highest in coarse textured sandy soils compared to fine clay  or organic soils.
Organic matter content appears to be one of the most important soil  factors
related to acidic herbicide adsorption.  Also, this  adsorption is reversible.
Weber et al. (1965) found that three extractions of  1M NaCl were required to
release 2,4-D adsorbed to strongly basic anion exchange resins.   Negative
adsorption or repulsion of acid anions by clay colloids occurred at neutral
or basic pH levels.  In strongly acid  systems, positive adsorption of molecular
species occurred.   In limed or naturally alkaline soils, 2,4-D toxicity was
retained for a longer period of time than in unlimed soils (Kries 1947).  2,4-D
adsorption by clay  has been demonstrated by experiments that  withdrew the water
from the complex, leaving the chemicals to adhere to silicate surfaces (Harter
and Ahlrichs 1969).  The bonding, however, was weak  and exposure to  low levels
of moisture quickly moved the chemical into the soil column.

     Dicamba exhibited intermediate persistence in many soils when compared to
other acidic herbicides.  However on a variety of soil types,  dicamba was found
to be highly mobile (Donaldson and Foy  1965) depending on water flux and
capillary water movement  (Harris and Warren 1964).  Adsorption by most clays  was
                                        206
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limited but acidic kaolinite clay and muck soils indicated extensive adsorption
of dicamba (Donaldson and Foy 1965).  This is especially important in the
Chesapeake Bay area where kaolinitic clay is prevalent.

     Soil pH levels are directly related to adsorption of dicamba, with strongest
binding capacity at lower pH levels (4.0 to 6.0) and minimal  at pH levels higher
than 6.0 (Corbin  et al.  1971).   Water soluble salts of dinoseb have been report-
ed to leach in soil where the oil-soluble or water miscible forms displayed less
movement.  The Teachability of dinoseb in soil was affected by soil texture,
moisture content and herbicide formulation (Weed Science Society 1974).

     Dinoseb is similar to dicamba in that adsorption in soil  is pH dependent .
Weber et al. (1965) found a lack of dinoseb adsorption on bentonite at pH 8.4.
However, the acid herbicides including 2,4-D, dicamba and dinoseb were found
generally adsorbed on an acidic muck at relatively low amounts compared to other
herbicides (Weber  et al.  1965).  The capacity of these herbicides to be adsor-
bed was inversely related to water solubilities.

     Microbial decomposition.  Research    (Mitchell and Marth 1946; Brown and
Mitchell 1948) has revealed that 2,4-D is rapidly detoxified in soil as compared
to other phenoxyacetic acids.  High rates of 2,4-D microbial  decomposition were
enhanced by warm soil conditions with high organic matter content.  Inhibition
of 2,4-D degradation in autoclaved soil indicated that the decomposition pathway
was microbiologically induced.

     The microbial pathways of 2,4-D decomposition have been investigated by
Audus (1964).   Complete or nearly complete degradation of several phenoxyacetic
acids was accompanied by loss of aromatic structure and release of chlorine or
chloride ions.  There appear to be two main pathways for the degradation of
phenoxyacetic acids:  degradation via a hydrophenoxyacetic acid intermediate;
and degradation via the corresponding phenol (Loos 1969).  Evans et al. (1971)
suggested that degradation by the first pathway resulted in production of a
phenolic acid metabolite (6-OH-2,4-D).  A fairly low pH optimum of 5.3 for 2,4-D
was described.  Fungi are thought to be the agents for degradation in the highly
acidic soils made more basic with lime (Corbin and Upchurch 1967).

     Elad et al. (1965) established that the degradation pathway of dicamba,
metabolized by microorganisms, involved 5-hydroxy-2-methyl-3,5-dichloro benzoic
acid as a major conjugated metabolite.  One minor degradation  product was 3,6-
dichloro salicyclic acid.   The reactions involved in photodegradation of dinoseb
included side chain hydrozylation.

     Runoff from Coastal  Plain Soils.  2,4-D has been detected in streams by a
Federal monitoring program (Schultz  et al. 1973).   Research  has indicated that
esters of 2,4-D are lost more readily in runoff than the anion salts (Evans and
Driseja 1973).

     A three-year cornfield study in the Georgia Coastal Plain was conducted by
White et al. (1976) to determine soil retention of 2,4-D with  simulated
rainfall using a 0.34 ha study area of Cowarts loamy sand with 0.5 percent
organic matter content.  A zone of low hydraulic conductivity  existed at a
depth of 92 to 214 cm, which enabled researchers to evaluate subsurface as
well as surface water quality outputs.  When rains were applied, 1, 8 and 35

                                       207
 image: 








days after herbicide application (0.56 kg/ha),  total  2,4-D concentrations  for
soil (sediment) and water fraction combined were 25.2,  5.8 and 0.7 yg/1  respec-
tively.  The maximum concentration of 2,4-D in  surface  runoff was  8.1  yg/1
compared to 1.2 yg/1 for subsurface runoff.   In comparing maximum surface  runoff
concentration with other similar work (Evans and Driseja 1973; Sheets  and  Lutz
1969) White et al. found their own results to be lower.   It was concluded  that
under the conditions of this watershed, subsurface flow was three  times  larger
than surface flow.  However, in the surface 0.5 cm of soil, 2,4-D  concentration
decreased 95 percent in the first 7 days and reached  0.01  ppm after 34 days.
2,4-D was not found to accumulate in soils applied at  a  90 cm depth.   The potential
for 2,4-D runoff from rainfall events occurring soon  after herbicide application
may have important implications for subtributaries of the Chesapeake Bay where
2,4-D is commonly used.

     Aquatic Weed Control.  Applications of 2,4-D were  used extensively in
the Chesapeake Bay in the 1960s to control milfoil infestations.
Effective control of milfoil was attained between the latter part  of May and
the first half of June using 22 to 33 kg a.e./ha (Rawls 1965, 1971^, 1975).  The
most effective method of control using 2,4-D (BEE) involved first  mowing the
underwater plants followed by herbicide application at  low tide, just before
low water slack (Steenis and Stotts 1965).  Large scale operations using heli-
copters have been used to apply 2,4-D (BEE) in  locations where there was no
commercial fishing (Rawls and McKee 1964).  These treatments were  tested and
found to be non-toxic to sport or commercial fish. However, low levels of 2,4-D
were known to temporarily concentrate in oysters and  clams, and so extensive use
of this treatment was curtailed (Beaven  et al. 1962; Rawls and Beaven 1963;
Steenis and King 1964).

     Tests by Aldrich and Otto (1959) using Potamogeton pectinatus indicated that
both leaf-fed and root-fed plants accumulate 2,4-D-l-Ci't.   Apparently, trans-
location proceeded more rapidly downward than upward.  In labeled  2,4-D butxyethyl
ester treated waterstar grass, again root and shoot uptake was observed with
downward translocation predominating (Funderburk and  Lawrence 1963).

     Non-ionic Herbicides (Substituted Dinitroani1ine)-Trif1uralin.   The
dinitroanilines are highly selective herbicides introduced in the  1960s (Brooks
et al.  1960).  One of the most important members of this class of  herbicides is
trifluralin which was first registered for use  on food  crops in 1964 (Probst
et al.  1976).  This 2,6-dinitroaniline exhibits preemergence herbicidal  activity
selectively toward grasses rather than broadleaf weeds  and has become popular
due to its effective control of Johnsongrass (Weed Science Society 1974; Probst
et al.  1976).  It controls seed germination and associated physiological growth
processes (Weed Science Society 1974). A wide variety of crops are resistent to
trifluralin making it useful in crop rotation.   Trifluralin is usually incor-
porated into the soil rather than applied to foliage.  There is no significant
translocation or adsorption of trifluralin by soil treated crops  (Weed Scic -~e
Society 1974).

     Photodecomposition.  Dinitroanilines are very unstable when exposed to
ultraviolet light.  The photodecomposition pathways of trifluralin involve
dealkylation, cyclization, reduction and oxidation.  Numerous degradation
                                      208
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products are formed when trifluralin is exposed to sunlight wavelengths.  Leitis
and Crosby (1974) found that under acid conditions, dealkylation produced a
primary degradation product of 2-amino-6-nitro a,a,a,-trifloro-p-toluidine.
Under alkaline conditions the major photolysis product was 2-ethyl-7-nitro
trifloro-methylbenzimidazole.  Application of trifluralin under field conditions,
especially where the chemical might be incorporated in irrigation water, revealed
rapid photodecomposition to numerous other substances.

     Extensive field trials have shown that when trifluralin was incorporated
into the soil, a marked enhancement (3 or 4 times) of herbicidal  activity took
place   (Ketchersid  et al. 1969).  Apparently, trifluralin was either rapidly
inactivated by a photochemical process or was volatilized from the soil  surface.
Further, once trifluralin volatilized, it could be photolytically degraded in
the atmosphere.

     Volatilization.  In a laboratory study relating vapor losses to soil
moisture, Parochetti et al. (1976) found trifluralin very volatile compared to
ten other dinitroaniline herbicides.  Trifluralin was tightly adsorbed to soil
particles.  At 50 C, vapor losses decreased from approximately 23 percent at 7
percent soil  moisture to 17.5 percent at 15.3 percent soil moisture.  Increasing
soil temperature was found to enhance volatility.  This corroborated earlier
work by Spencer and Cliath (1974) who found trifluralin vapor pressure to in-
crease approximately five times for each 10 degree temperature increase between
20 C and 40 C.

     In a similar laboratory experiment, Harvey (1974) found trifluralin to be
relatively volatile compared to other dinitroaniline herbicides.  Neither soil
texture or type greatly influenced the phytotoxicity of trifluralin to the plants
studied; however, increasing soil moisture decreased volatility.  Based on i_n
yitro experiments with foxtail millet , Harvey found the absorption of
trifluralin vapor to cause substantial root growth reduction.  He concluded
that vapor absorption may have been a more effective mode of plant entry than
herbicide absorption from soil solutions.

     In comparing trifluralin volatilization from aerobic and anaerobic soils
in a moist or flooded state, Paar and Smith (1973, cited in Probst et al. 1975)
found flooding to greatly decrease volatility.  Volatilization from moist
aerobic soil  after 20 days reached a cumulative total of 2.5 percent compared
to less than 1.0 percent from moist anaerobic soil.

     Bardsley et al. (1968) found trifluralin to be highly volatile in an
aqueous media.  They determined that water vapor promoted volatilization not
only from a water media but from the soil.  These results were corroborated
by Weber (1972) who concluded that increasing volatilization of trifluralin
occurred with increasing soil moisture possibly due to water vaporization.

     Fate in Soil.  The dinitroanilines are among the least mobile herbicides
(Harris 1967) and are readily adsorbed by organic matter (Parka and Tepe 1969).
Adsorption by soil organic matter has been related to the parachor of these
compounds.  Generally, larger molecules are adsorbed more readily than smaller
ones.  Trifluralin has a parachor of 671 which is the largest of all non-ionic
                                     209
 image: 








herbicides.  Accordingly, it is not as  readily available  for weed  control  as
the more loosely soil  bound  herbicides  (Lambert et al.  1965  cited  in  Weber
1972).  Parka and Tepe (1969)  studied residual  trifluralin  from  107 locations
in the United States where herbicide applications  had  been made  for one  to
four years.  It was concluded  that trifluralin did not accumulate  in  the soil
even after repeated applications.

     Miller et al.  (1975) investigated  the soil persistence  of trifluralin
applied to a fine sandy loam soil  over  a period of five years.   Residues were
mainly in the upper 30 cm of soil  with  80 percent  concentrated in  the top 15
cm of soil.  Fifteen months  after  final  application,  trifluralin residues were
greatly reduced in  the top 15  cm and almost nonexistent after 30 months.  De-
gradation of trifluralin in  soil  15 to  30 cm deep  progressed more  slowly.
However, herbicide  levels at this  depth never exceeded trace amounts.  The
relative adsorption of trifluralin by soil organic matter was similar to the
cationic herbicides.  Experiments  using montmorillonite clay and organic muck
soils indicated that phytotoxicity was  decreased by increasing soil organic
matter, but not by  increasing  clay (Weber 1972).

     The degradation of trifluralin in  soil is affected by  anaerobic and
aerobic conditions  as well as  soil type, moisture  and  temperature.   In compar-
ing aerobic and anaerobic degradation,  Probst et al.  (1975)  discussed an experi-
ment utilizing 0, 50, 100 and  200  percent field capacity  moisture.  Trifluralin
degradation was greatest under the anaerobic conditions of  200 percent field
capacity moisture such as would be found after heavy rainfall in areas with
poor drainage.  No  indication  were found of the influence of microorganisms or
soil type on degradation.

     Microbial Degradation.    Probst et al. (1967) conducted experiments with
trifluralin applied to autoclaved  and nonautoclaved soils to determine the
role of microorganisms in degradation.   The experiment resulted  in slightly
more trifluralin degradation in the nonautoclaved  soil; however, no specific
soil organisms were isolated.    No successful isolation of  soil  microorganisms
has been indicated  since then  (Probst et al. 1975; Weed Science  Society 1974).

     Non-ionic Herbicides (Substituted  Anilides)-Alach1or and Propachlor.  Of
the substituted anilideherbicides in  common use, alachlor  is the principle
compound utilized within the Chesapeake Bay watershed. Alachlor was first
introduced in 1969  for the control of annual grasses,  certain broadleaf weeds
and yellow nutsedge (Jaworski  1975; Weed Science Society  1974).

     Alachlor is usually applied as a spray formulation or  in granular form
as a preemergent, early postemergent or incorporated into the soil  prior to
planting.  Mode of action is primarily  through absorption by germinating shoots
or roots.  Alachlor is readily translocated throughout the  plant and functions
as a protein inhibitor through the inhibition of GA-induced  amylase production
(Weed Science Society 1974;  Devlin and  Cunningham 1970 cited in  Jaworski 1975).

     Photochemical  Decomposition.   Weed Science Society (1974) described
alachlor as having  good resistance to decomposition by UV light.  This would
be expected under field conditions since alachlor does not  absorb  at wavelengths
                                     210
 image: 








                  o                                             o
in excess of 2800 A and sunlight is limited to above about 2900 A.   For this
reason, Beestman and Deming (1974) concluded that photodecomposition along  with
chemical decompostion do not contribute in a significant way to losses  of
alachlor from soils.  Crosby (1976) did not discuss alachlor specifically but
referred to the level of photochemical knowledge of the amide or anilide
herbicides as being "primitive".

     Volatilization.  Beestman and Deming (1974) studied volatilization of
three  acetanilide herbicides including alachlor.  They found little volatili-
zation under windy conditions from dry soils compared to the significant
losses that occurred from wet, exposed soil.

     Fate in Soil.   Alachlor exhibits a moderate water solubility of 148 ppm
at 20 to 25 C.  Weber (1972) found that the effectiveness of alachlor was
greater in soils with a high organic matter content compared to coarser tex-
tured soils.  Stickler et al. (1969, cited in Weber 1972) determined that sur-
face application compared to soil incorporation did not result in changes in
alachlor effectiveness.  Herbicide activity was not affected by soil moisture
either.

     Ballard and Santlemann (1973) studied alachlor activity in relation to
clay, loam and sandy soils.  Based on growth of wheat (Triticum vulgare) in
the three general soil types, less growth inhibition was noted in soil  with
increasing sand or clay content compared to loamy soils.  As adsorption de-
creased, so did alachlor activity.

     Microbial Degradation.  Microbial decomposition is the primary degradation
mode for alachlor.  Laboratory experiments performed by Beestman and Deming
(1974) determined that alachlor and other anilide herbicides were 50 times  more
stable in sterilized soil then in viable soil.

     Investigations by Tiedje and Hagedorn (1975) identified organic metabo-
lities of alachlor when cultured with Chaetomium globosum.  Chloride was one
degradation product along with 2-chloro-2'6'-diethylacentanilide, 2,6-diethyl-
N-(methoxymethyl) aniline; 2,6-diethylaniline; and l-chloroacetyl-2,3-dihydro-
7-ethylindole.  Smith and Phillips (1975) found Rhizoctonia sol am' readily
degraded alachlor when another carbon source was present.

     Runoff Losses.   Runoff loss of alachlor from silty clay loam soil of  the
Rhode River watershed area was monitored in 1976.  The average leakage rate of
alachlor was determined to be 0.02 percent (Wu et al. 1977).

     Phenylurea Herbicides - Linuron.  Herbicidal activity of the phenylureas
was first described by Thompson et al. (1946, cited in Geissbuhler et al.1975).
There are presently 20 to 25 commercially available urea herbicides of which
linuron is the most common within the Chesapeake Bay area (Geissbuhler  et  al.
1975).

     Linuron is normally sprayed on various important food crops for preemer-
gent or postemergent control of broadleaf weeds and grasses.  Plant absorption
of linuron occurs primarily through the roots and secondarily by way of foliage
and stems.  Translocation occurs through the xylem with inhibition of the Hill
reaction.
                                       211
 image: 








     Photochemical and Chemical  Degradation.   Under hot,  dry exposed conditions,
linuron readily photodecomposes  (Weed Science Society 1974;  Crobsy 1976;
Geissbuhler et al. 1963).   Crosby (1976)  cites Hill  et al.  (1955)  as first
discussing the photolysis  of the substituted  urea compounds.  Although little
has been published on the  photochemical  degradation products of linuron,  infor-
mation on similar urea herbicides is available (Weldon et al.  1969; Geissbuhler
et al. 1963).

     Urea herbicides in general  are regarded  as stable compounds under normal
temperature and soil conditions  (Geissbuhler  et al.  1975).   Hance  (1967)  used
linuron in temperature experiments and concluded that losses of
linuron from soils through chemical processes was unimportant.

     Fate in Soil.  Weber  (1972) classified linuron as having moderate to low
soil mobility that tended  to decrease as  soil organic matter increased.
Generally, adsorption of linuron increased with increased clay organic matter
content.  Changes in phenylurea  adsorption and mobility were not observed in
varied pH solutions suggesting that the urea  compounds did not ionize in
solution (Hance 1969).

     Leaching of linuron in two  soil types was investigated  by Dubey and
Freeman (1965).  Herbicide applications equivalent to 5.5 and 27.5 kg/ha  tested
leakage potential on Wheeling sandy loam and Maury silt loam  in soil columns
leached with 2.5 to 20 cm  of water.  Linuron  was found to remain at or near the
surface; however, the herbicide  showed a  greater potential  for leaching in
Wheeling sandy loam than in Maury silt loam.   Similar findings by  Upchurch and
Pierce (1957) and Sherburne et al. (1956, both cited in Weber 1972) supported
the marked mobility of the phenylureas in light soils.  Linuron was found to
have a water solubility of 75 ppm (Willis et  al. 1975).

     Linuron is considered to demonstrate low soil  persistence (Scherer et al.
1963, cited in Geissbuhler et al. 1975) presumably due to the action of micro-
organisms.  Willis et al.(1975)  listed the soil half-life for linuron as  ap-
proximately two months.

     Microbial Degradation.  Environmental conditions such as elevated tempera-
ture, high moisture and organic  matter that favor microorganism growth also
contribute to the deactivation of the urea herbicidal activity.  Geissbuhler
et al. (1975) cited extensive work by Borner  et al. (1969) who used several urea
herbicides including linuron with almost 100  fungal and bacterial  species. The
conclusion was reached that the  ability of microbes to utilize the phenylureas
was "rather widespread".  Geissbuhler et al.  (1975) maintained that assumptions
as to microbial degradation capability based  on the decomposition  of similar
urea compounds are not necessarily valid.  The ability of a  microbial species
to degrade one type of phenylurea has not been shown experimentally to mean that
the same microbe can degrade a closely related compound.  Thus, the experiments
by Hill  et al.  (1955) can not be taken as an indication that the  strain  of
Pseudomonas that can degrade monuron will also be capable of utilizing linuron.

     Runoff Losses.  Loss  of linuron applied  at a rate of 2.24 kg/ha to soil
of the lower Mississippi River Valley was monitored in a three year study by
                                      212
 image: 








Willis et al.  (1975).   This herbicide was applied to plots of Mhoon silty clay
loam with 13 to 28 percent sand, 45 to 51  percent silt and graded to a 0.2
percent slope.  Application resulted in maximum seasonal  losses of 0.33, 0.27
and 0.04 percent, consecutively, for the three years.   Higher losses to runoff
were attributed to heavier rainfall events.  Willis  et al. suggested that with
proper use linuron would not negatively impact adjacent waters.

     Aquatic Weed Control.  Lawrence (1968) studied  the activity of linuron
applied to submerged plants in growth pools.   An initial application of 2.0
ppm linuron completely controlled naiad and pondweed for two years while common
elodea showed approximately 50 percent control for the same time period.  A
combination of paraquat (0.1 ppm) and linuron (1.0 ppm)  totally controlled
naiad and elodea for two years.   With the same combination, Lawrence found that
70 percent of the pondweeds were controlled the first year after application
and 10 percent were controlled during the following  year.

     Recent field sampling by Correll et al.  (1977)  in several Chesapeake Bay
estuaries (see following section) indicated that linuron had been found at
concentrations up to almost 9 ppm in sediments.  Bioassays by Correll et al.
showed that 1 ppm linuron in sediments was sufficient to effect decreases in
gross photosynthesis of Zannichellia palustris.

Herbicide Loadings in the Choptank Watershed

     The Choptank River watershed was chosen in order to make some initial es-
timates of the possible impacts of herbicides on an  important subestuary of the
Chesapeake Bay.  The Choptank River Basin is the second largest on the Eastern
Shore, only the Pocomoke is larger.  The Choptank River was chosen over the
Pocomoke River as more typical of the Eastern Shore  since the Choptank is
surrounded by agricultural land.  The Pocomoke River area is unique to the region
because it is surrounded by a cypress swamp.    Table 70 gives a brief comparison
of the Choptank River characteristics with other important rivers in the Bay.

     The Choptank has a diffuse source loading potential in the median range
(see Table 70) of 1.3 (m2 m~3).   Although this figure does not take into account
different land use patterns or the relative flushing characteristics of each of
the subestuaries, it seems to correlate well  with patterns of occurrence of sub-
merged aquatic plant species.  This correlation is especially striking when the
1974 submerged aquatic plant occurrence (Kerwin et al.  1975) is plotted against
the potential diffuse source loading potential for each estuary in Figure 41. The
high loading ratios (> 5) of the Wicomico and Nanticoke Rivers may help explain
why they have had no submerged aquatics in recent years.  The influence in terms
of land forcing functions is much greater in these areas.   The Choptank ratio of
1.3 is much more in the middle range which makes it  a more representative place
to look at possible agro-chemical inputs on the Eastern Shore.

     Acreage of the Choptank River drainage basin comprises nearly 58.7 percent
of the acreage in the three Maryland counties (Talbot, Dorchester and Caroline)
adjacent to the River.  Table 71 gives approximate land use patterns in the
Choptank watershed.  Planting methods of corn, soybeans, wheat and barley largely
determine the types and total quanities of herbicides potentially available for
                                      213
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   Table 71.  Comparison of land use patterns in upper and lower Choptank

   River watershed areas
Land use
Forest
Cropland
Grassland
Orchard
Residential & commercial
Marshes (brackish)
Other (surface, mines,
idle)
Total
Upper Choptank3
%
42
35
8
_
8
-

7
100
Lower Choptank^
%
45
28
1
2
2
22

-
100
   aFincher 1976

   bMatthews 11963
  •=£
  oo
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     40
     30
     20
          Eastern Bay
   V
    \
     ^Choptank River

   •  \
Chester \
 River    \
                      \
         Patu^ent River     \

                       *     \
               ^assafras River  >
                          Wicomico River
0
                           46         8       10

                        Potential diffuse loading (M2/M3)
                                                    Nanticoke

                                                   ,  River
                                                       12
Figure 41.   Submerged aquatic plant occurrence plotted against potential
diffuse source loading ratio
                                    215
 image: 








leakage to receiving bodies of water.   In  the Choptank  drainage  basin,  crops
and respective planting methods are tabulated in  Table  72 for  the  purpose  of
projecting the herbicide leakage potentials  (see  Table  73).  The approximated
7.5 percent no-till  corn acreage planted (Parochetti, personal communication)
and 25.5 percent no-till soybeans (Maryland  Department  of Agriculture  1963-177,
1971-1977) have resulted in approximately  4,960 kg  of paraquat applied  to  these
crops.

     Alachlor, atrazine and linuron are the  most  widely used herbicides in the
Choptank area. A review of literature indicates that leakage figures  for these
herbicides could potentially be 13 kg  alachlor, 538 kg  atrazine  and  105 kg
linuron per year.   If these loadings were  diluted by the Choptank  MLW  volume
and not incorporated into the sediments, we  would expect to find 0.36  ppb
atrazine, 0.07 ppb linuron and 0.0009 ppb  alachlor. Less than a part  per
trillion of trifluralin would be expected.   This  is assuming no  net  transport
out of (or into) the Choptank estuary.   Although  this latter assumption may be
somewhat simplistic, it may actually represent an underestimation  of herbicide
loadings.  In the Chester River there were researchers  who found that  more
pollutants were carried upstream from the  mouth on  sediments coming  from the
Susquehanna River than were coming downstream.

     Recent surveys  of the Choptank River  by the  Chesapeake Bay  Center for
Environmental Studies (CBCES) have provided  some  initial data  on herbicide
levels and SAV populations at eight stations along  the  river from  the  mouth up
to Denton (Correll et al. 1977).  Atrazine,  linuron, trifluralin and alachlor
were analyzed from bottom sediments and filtered  surface water.  Alachlor  was
found in low concentrations at only a few  stations  compared to higher  and  more
frequent concentrations of the other three herbicides.

     Figures 42 and  43, Choptank River graph, show erratic levels  of atrazine,
linuron and trifluralin in surface waters.   Station 72, near the mouth of  the
Choptank River, is the only station that was found  to support  submerged vegeta-
tion (Ruppia maritima  Zannichellia palustris and  Elodea canadensis despite
concentrations of linuron that had proved  to be inhibitory to  Zannichellia in
bioassays (see Table 74).  Of special  interest is the trend that is  indicated
in Figure 44.  Levels of linuron in bottom sediment sampled from the river mouth
upstream to Denton show a steady decrease  in concentration.    This is  contrary
to what would be expected if excessive amounts of linuron were leaching into  the
river from upstream  soybean fields.

     Another interesting aspect of Correll  et al. data  is that atrazine levels
in sufrace waters (dissolved) exceeded expectation  levels based  on the previous
calculations mentioned above.  Field data  indicated 2.0 ppb on the average and
the expected was 0.36 ppb. Also surprising is the fact  that no atrazine was
reported in suspended sediments or the 0 to  3 cm sediment faction.  However,
at station 77, atrazine was detected at a  level of 3.83 ppm at a depth of 3 to
6 cm.  The detection limit for atrazine in bottom sediment samples   was 0.2 ppm.
Linuron, alachlor and trifluralin levels were found to  be generally higher than
expected by calculations.  This could indicate that there are continual  concen-
tration build-ups or possibly other inputs into the mouth of the Choptank.
It is also possible  that actual leakage rates are much  higher  than expected or
that CBCES has been  identifying an artifact  (Parochetti, personal  communication)
instead of an herbicide.

                                      216
 image: 








Table 72.   Estimates of total amount of  specific
herbicides  used for weed  control  in the  Choptank
drainage basin, 1975a'b
Cropping
practice
No-till corn

Conventional
corn
Herbicide
Paraquat
Atrazine
Simazine
Paraquat
Alachlor
Atrazine
Atrazine
lAtrazine
[Alachlor
Atrazine
[Simazine
lAtrazine
[Simazine
[Atrazine
[Metolachlor
[Atrazine
[Butyl ate

No-till
soybeans
2,4-D
Paraquat
[Linuron
j_Alachlor
[Linuron
[Oryzalin


Concentional
corn


Linuron
Miscellaneous
Linuron
Alachlor
Linuron
Trifluralin
[Napthalamc
pinoseb
[Alachlor
Conventional
barley & wheat
2,4-D
Di camba
Rate
kg a.i./ha
0.27
1.37
1.37
0.27
2.20
1.65
2.20
1.10
1.65
1.10
1.10
1.10
1.65
1.10
1.65
1.10
3.30
0.42
0.55
1.10
1.65
0.55
0.55
0.83
1.10
1.65
1.65
0.83
0.83
1.10
1.65
1.65
0.42
0,14
Hectares
treated
2,194
157
7,249
13,048
3,479
870
1,559
1,450
1,450
7,654
6,506
383
612
153
14,535
2,236
2,684
1,118
3,687
1,843
Herbicide
kg a.i./ha
592
3,005
3,005
42
345
259
15,947
14,352
21,529
3,827
3,827
957
1,436
1,715
2,572
1,595
4,785
609
4,210
7,157
10.735
211
211
508
168
23,983
23,983
1,856
2,228
1,230
1,840
1,840
1,549
258
   aParochetti, personal communication
   ^Maryland Department of .".grlc'jlt-re files 1977
   cTrade name
                             217
 image: 








Table 73.   Potential herbicide leakage,  Choptank River drainage basin

Herbicide

Paraquat
Atrazine
Simazine
2,4-D
Dicamba
Trifluralin
Linuron
Alachlor
aData not available
bWu et al. 1977
cWhite et al. 1976
dWillis et al. 1975
Total
grams
applied
4,958,140
44,795,974
8,452,791
2,939,251
258,610
2,260,228
34,836,516
63,474,561




Possible
percent
leakage
a h
1.20b
a
0.21C
a
0.05d
0.30d
0.02b




Total
herbicide
leaked (grams)
a
537,551
a
6,172
a
1,130
104,509
12,694




            fable 74.   Summary of bioassay  results  of various  concentrations
            of atrazine and linuron on  Zannichellia palustris9
               Parameter
               measured
   Herbicide
  concentration
    Bioassay
     results
             Plant growth


             Net 02 production
             Gross photosynthesis
  1  ppm atrazine
  1  ppm linuron

  1  ppm atrazine

 10  ppm atrazine
100  ppm atrazine
  1  ppm linuron

 10  ppm linuron
100  ppm linuron

  1  ppm atrazine
 10  ppm atrazine
100  ppm atrazine
  1  ppm linuron
 10  ppm linuron
100  ppm linuron
increase
increase

increase until 20th
  day then decrease
decrease
decrease
increase until 12th
  day then decrease
decrease
increase

increase
decrease
decrease
decrease
decrease
decrease
             aCorrell et al.  1977
             Concentration for  sediments.
              adjusted to ppb level
   Water column (dissolved) concentrations were
                                            218
 image: 








     Further field work by Correll et al.  has been performed on the Rhode and
Severn Rivers and the Poplar Islands.  Figures 42 and 43 show herbicide concen-
trations of dissolved and suspended solids of surface water.  Linuron shows
higher values at the river mouth (station  28) and atrazine and trifluralin are
higher in Muddy Creek (stations 30.2 and 31.5) for the filtered surface waters
in the Rhode River.  This does not apply to suspended sediments concentrations
which tend to be rather random.

     Figure 44 depicts concentration levels found in bottom sediment samples.
The two Muddy Creek stations exhibit the highest levels of all three herbicides.
No strong correlations can be made between these concentrations and SAV popula-
tions.  Ruppia and Zannichellia were noted throughout the five Rhode River
stations despite what are considered to be inhibitory concentrations of linuron
at most of the stations.  Station 29 produced the highest amount of biomass
(57,550 mg dry wt) yet showed almost 5 ppb linuron in suspended sediments and
over 2 ppm in bottom sediments.  Stations  31.5 and 28 ranked next in biomass
(3,430 and 1,610 mg dry wt)  despite higher herbicide concentrations than stations
28.4 and 30.2 which has lower plant biomass.

     Similar work performed on the Severn  River in June, 1976, shows the same
random concentrations over the length of the river (see Figure 42, 43 and 44).
Potamogeton pectinatus, P. perfoliatus, Myriophyllum spicatum and Ruppia maritima
were found in sparse quantities at stations 92 through 96 with the exception of
station 94 which supported about 30 times  (11,410 mg dry wt) more vegetation than
station 95 (20 mg dry wt).  In looking at  the last two river stations together,
herbicide levels were higher than station  94, indicating possibly some correla-
tion between low biomass and high herbicide concentrations.

     The fourth area surveyed was Poplar Island.  Herbicide concentrations are
again random in relation to each of the three herbicides with the exception of
linuron and trifluralin levels which seem  to follow more closely in the bottom
sediments than previously noted.  Zannichellia, Ruppia and Potamogeton pectinatus
were found at station 81 (6,500 mg dry wt), station 82  (42,150 mg dry wt) and
station 83 (600 mg dry wt).  High biomass  at station 82 was composed primarily of
P. pectinatus.  Herbicide concentrations at the same station indicate what bio-
assay analysis determined to be inhibitory levels of linuron and atrazine to
Zannichellia.

     The lack of correlation between bioassay results and field data is confusing.
Clearly more herbicide studies are needed  before a clearcut causality pattern
can be established.  This is especially the case when many of the herbicide
values obtained by Correll et al. (1977) have not yet been confirmed by G-C mass-
spectrometer studies.  Hopefully several studies now in the planning stages
(Stevenson, Kemp and Boynton; Stotts and Orth) may be able to resolve this con-
troversy.

Chesapeake Bay Area Herbicide Survey

     In recent years, herbicide usage has  increased in the Chesapeake Bay area.
In order to determine the extent of this increase, county agricultural exten-
sion agents from Maryland and Virginia were surveyed for information relating to
local use of nine common herbicides.  Tables 75 and 76 tabulate the data from
the responding extension agents.  These figures indicate a marked increase in
total herbicide use for all responding counties from 1971 to 1975.

                                      219
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 Figure 42.  Analysis of surface water (dissolved) and biomass, June, 1976a
                                  220
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 Figure 43.  Analysis of surface water  (suspended sediment) and biomass,
 June, 1976a
                                221
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Figure 44.  Analysis of bottom sediment (0 to 3 cm) and biomass, June,  1976a
                                  222
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CHLORINE

     Since the early 19th century, chlorine has been utilized as a sanitizing
agent.  By 1912, it was widely used for the destruction of bacteria in both
sewage and potable waters (Schultze 1974).  Chlorine has been found to be
effective for:

        disinfection of clams and oysters prior to marketing

     .  control of midge larvae and alage in swimming pools

        controlling taste and ordor in municipal water supplies

     .  sterilization of fish hatchery water supplies

        reduction in biochemical oxygen demand of domestic wastewater

        odor and fly control in wastewater treatment plants

     .  industrial wastes

     .  antifoul ing in heat exchangers and piping of water cooling systems

     .  pulp and paper production (bleach)

     .  herbicide and pesticide production

     The ecological impact of this strong oxidant and its by-products on the
marine environment appears to be vast.  It was vertified several years ago
that chlorinated hydrocarbons such as DDT and DDE, dieldrin and PCBs which
enter seawaters from land runoff, sewage outfalls and the atmosphere were
extremely dangerous to marine flora and fauna .(Goldberg et al. 1971).

     Goldberg et al. (1971) cited the work of Nimmo et al. (1970) who found
that continuous exposure of 0.2 ppb chlorinated hydrocarbon killed shrimp.
They also refer to Duke et al. (1970) who determined that one ppb of the PCB
Arcolor 1254 caused a 20 percent decrease in oyster shell growth.  Duke corre-
lated HC1 residues in mollusks to nearby agricultural chemical applications.

     Fish and birds have also exhibited negative effects due to chlorinated
compounds.  Concentrations of chlorine in lipid ovary tissues affected new
born growth.  A 5 ppm chlorine residual caused developmental failure of sac
drys containing young fish (Goldberg et al. 1972).  Deaths of bald eagles
(Mulhern et al. 1970), common loon (Butler 1966) and peregrine falcons (Jeffries
and Prestt 1966) are caused by chlorinated hydrocarbons through eggshell
thinning (Goldsberg et al. 1971).  Bald eagles and peregrine falcons are in-
cluded on the Department of the Interior's endangered species list.

     Aquatic research has demonstrated that phytoplankton show decreased
growth, developmental failures and increased mortality rates in response to
                                     225
 image: 








chlorine.   Chlorine inhibits photosynthesis  in  single-celled  marine  plants
causing these effects.   Particularly important  is  that these  plants  may be
a vehicle  for transferring these potentially toxic compounds  to  higher trophic
levels (Goldberg et al.  1971).

     In bioassay tanks  using estuarine waters,   Wester and Rawles  (1976)
described  symptoms in aquatic macrophytes of growth retardation, loss of
chlorophyll  and collapse when total  available chlorine levels ranged from
0.05 to 0.125 ppm.  "Field observations,  plot studies  and  data from  controlled
environment investigations with Ca boma ca ro1i n i a n a, El odea canadensis,
Potamogeton crispus, £.  pectinatus and Vallisneria spiral is indicate that
chlorine pollution may be a significant cause of this  critical environmental
problem affecting these once locally prevalent  plants"

     The fate of chlorine in estuarine ecosystems  is largely  unknown at the
present time and laboratory chemistry techniques for chlorine are  not depend-
able yet (Davis, personal communication).  Experimental  data  does  show that
chlorine acts differently in marine waters compared to freshwaters.   The 60 ppm
of bromide that characterizes marine waters  is  readily oxidized  by the intro-
duction of strong oxidants.  In marine waters,  the resulting  compounds are
brominated while in freshwater, analagous chlorinated  compounds  are  formed
(Sugam and Helz 1977; Davis et al. 1977).  An estimate of  the possible number of
theoretical  halogenated inorganic and organic by-products  produced is 1,500
(Davis, personal communication).  The measurement  of these compounds requires
an intensive inventory and analytical effort.  The common  technique  for measur-
ing the active oxidative stage or residual chlorine is the amperometric
titrator method.  This  technique does not accurately record hypobromite and
bromate or give any clue to the number of halogenated  by-products  (Davis et al.
1977).

     In the Chesapeake Bay, chlorine and  chlorine  by-products enter  the estuary
via sewage treatment plants, water treatment and cooling waters  from electric
power plants, run-off from agricultural pesticide  application and  industrial
effluents.  The amount of chlorine used for sewage treatment  has been estimated
as ten times the amount used as biocide for power  production  cooling waters
(Block et al. 1977).  Based on 1973 data  available from Martin Marietta Corpora-
tion (Polgar, personal  communication), it has been estimated  that  chlorine  used
in municipal treatment is 12,200,000 kg and 7,000,000 kg is applied  by
power generating facilities.  Jolley, in  a 1975 symposium  on  the environmental
impacts of water chlorination, estimated  that at least 3 percent of  this input
could produce halogenated organic species of a  persistent  nature (Davis and
Middaugh 1975).

     A survey of chlorine usage from sewage treatment  plants  in  the  Chesapeake
Bay shows  an increase greater than 2.5 times from  1971 to  1975 (see  Table 77)
in each of four river systems that were analyzed.

     There is currently no direct measurable evidence  relating the Baywide
decline in submerged aquatic vegetation to levels  of chlorination.  Bay
vegetation was at its lowest point in 1975 but  has increased  in  subsequent
years.  This does not clearly correlate with chlorine  inputs  which have
                                     226
 image: 








increased substantially every year in the 1970s due to increased use by sewage
treatment plants and power plants.  Lower rainfall  in 1976 and 1977 provided
less potential fresh water dilution of the increasing chlorine load.  Therefore,
if chlorine alone is suspect as the agent causing Baywide declines of aquatic
vegetation, we would expect to see a continued decline in SAV after 1975.   This
has not been found to be the case.  Therefore, either chlorine is not at fault
or it is acting synergistically with other factors.

     However, in areas of the Bay which have high concentrations of both power
plants, which use chlorine in large pulses to reduce fouling organisms, and
STPs, there is a likelihood that chlorine may be a significant factor.   The
Department of the Interior, National Ecological Services Lab has a continuing
monitoring and chlorine bioassay program which should provide a definitive
answer concerning the extent of chlorine impacts on SAV in the future (Wester,
 personal communication).  Therefore, although chlorine may be an important
factor in causing SAV declines in population impacted watersheds of the Western
Shore, there is little evidence presently linking it as a prime factor to the
Baywide submerged aquatic decline.  Any impact to SAV from chlorine can only
be speculative at this point.  However, this conclusion must be considered as
tentative until a better working knowledge of the complete chemistry of chlorine
is available for the Chesapeake Bay.

     Table 77.  Chlorine usage in four major rivers of the Chesapeake Bay
     estuary, 1971 and 1975a
           River                 1971                             1975
Patuxent River
Pocomoke River
Chester River
Choptank River
TOTAL
5,100
350
140
1,500
70,090
15,125
700
550
3,600
19,975
      Maryland Department of Health and Mental  Hygiene, Environmental
     Health Administration files 1977.
TURBIDITY

     Turbidity refers to a variety of water quality parameters which include
suspended organic and inorganic particulates, coloring or staining from dis-
solved organic matter and plankton.  These varying components of turbidity
                                     227
 image: 








 can  affect submerged aquatics in different ways. Participates can physically
 block  the penetration of light through the water column.  Stained or colored
 waters  diffently absorb various wavelengths of sunlight.  Plankton can cause
 scums,  mats or blooms which physically block sunlight and directly utlize red
 and  blue wavelengths for photosynthesis.  The dissolved and participate matter
 entering the water  column can serve as a vehicle for the introduction of
 soluble pollutants  into an estuary.  Whether these pollutants are heavy metals,
 greasy  wastes, agro-chemicals, excessive nutrients, etc., they can be diluted,
 absorbed into substrate material, oxidized or precipitated.

     Turbidity not  only varies as to components but has high seasonal vari-
 ability.  Winter usually is the period of lowest turbidity.  The spring rains
 increase suspended  solids loading, and warming temperatures in summer promote
 plankton blooms.  In addition, storms throughout the year can resuspend bottom
 sediments causing short periods of high turbidity.

     Sources of suspended particulates are categorized by Biggs (1970) as:
 external, from freshwater runoff; marginal, from shoreline erosion; and
 internal, from biological production.  In studying the Chesapeake Bay, Biggs
 estimated a yearly  suspended solids input based on the year February 1, 1966
 to January 31, 1967.  The net volume of introduced sediments for the upper Bay
 (above  Annapolis) was estimated as 1.6 x 106m3 and 0.8 x 10bm3 for the central
 Bay  (from Annapolis to a point just south of the Patuxent River mouth).  With
 uniform distribution, the nominal rates of sedimentation would be 3.7 mm/year
.for  the upper Bay and 1.1 mm/year for the central Bay.

     The impact of  suspended solids on SAV is not wholly negative.  The depo-
 sition  of silt and  clay particles can aid in building up suitable bottom sub-
 strates in barren areas or add nutrients to existing substrates (Odum and
 Wilson  1962).  Submerged aquatic vegetation, in turn, aids in the settling out
 of suspended solids.

     Turbidity has  often been implicated as a prime cause for the decline of
 submerged vegetation in the Chesapeake Bay (Martin and Uhler 1939; Bayley
 et al.  in press; Rawls et al. 1975).  However, the Bay has always been turbid
 from natural causes, due to the dynamic nature of a wind driven estuary.  Many
 people  knowledgeable about the Bay feel that turbidities have increased drama-
 tically over the last forty years.  Logically this would seem to be valid.
 Increased boat traffic and shoreline construction alone would appear to have
 augmented turbidity levels.  However, the data available from the Department
 of Natural Resouces show that yearly averages of suspended solids in the
 Maryland portion of the Bay have declined in the 1970s (see Table 78).  Further-
 more,  there is a positive correlation (r=.58) of SAV overall occurrences and
 yearly  average turbiditity levels.  This is in the opposite direction expected,
 assuming that high  sediment loadings and resulting turbidities inhibit plant
 growth. Focusing on the turbidities during the growing season (April to
 September) (see Table 78), there is a little more reasonable trend.

     The year of highest suspended solids during the growing season was 1975,
 also the year of lowest submerged aquatic vegetation occurrence.  However, this
 does little to demonstrate that a clear relationship exists between growing


                                     228
 image: 








season suspended solids and SAV declines,  This is because the average suspend-
ed solids for the growing seasons of 1967 to 1969 was 54.3 mg/1  compared to
23.8 mg/1 recorded in the 1970s.   This decrease occurred during a period when
SAVs were declining.   This second positive correlation adds to the doubt that
SAV disappearances can be attributed alone to increasing turbidity effects
due to increasing levels of suspended sediment.

     Table 78.  Yearly averages of suspended solids (mg/1), Maryland
     Chesapeake Bay,  1971-1976a
      Year
                                    Suspended solids (mg/1)
                Apr/May
June/Jly
Aug/Sept    Apr/Sept   Average
1971
1972
1973
1974
1975
1976
32.0
37.8
9.0
25.8
36.5
12.0
26.3
-
7.0
40.3
28.7
23.7
14.4
5.5
6.8
26.5
59.2
15.9
24.2
21.6
7.6
30.9
41.5
17.2
30.1
32.9
7.6
29.4
27.4
21.7
      Maryland Department of Water Resources files 1977

     Francis Uhler (Patuxent Wildlife Station, U.S. Fish and Wildlife Service)
and Vernon Stotts (Maryland Wildlife Administration) maintain that the absence
of submerged aquatics in an area such as Nanticoke River is due to higher tur-
bidities (personal communications).  However, Maryland Department of Natural
Resources water quality data show that in the period 1966 to 1976 the
Nanticoke actually had lower suspended solids (33.9 mg/1) than the Choptank
(36.6 mg/1) or Chester (41.5 mg/1).  Also, in most tributaries in the Bay,
the suspended solids were lower in the 1970s than in the 1960s.   This again
suggests thai; it is difficult to attribute submerged aquatic declines in the
1970s to turbidity alone (see Figure 45).

     Experimental evidence relating directly to the effects of Chesapeake Bay
turbidity on SAV is scarce, at least until recently. Field surveys conducted
by the Chesapeake Bay Center for Environmental Studies (Smithsonian Institu-
tion) in the Rhode and Severn Rivers do not indicate a strong correlation be-
tween turbidity and SAV occurrence.  In both rivers, the greatest abundance of
SAV was found in the areas of maximum turbidity where the fresh and brackish
waters meet.  However, in the Choptank River, vegetation was not found above
Cambridge where the zone of maximum turbidity is located.
                                     229
 image: 








                                              —•  Chester River
                                              	  Eastern Bay
                                              - — •  Nanticoke River
                                              --   Choptank River
                                             Maryland Water Resources
                                             files  1977
                               Years
Figure 45.   Suspended sediment sampling data (yearly averages)  for four
areas in the Chesapeake Bay9
                                   230
 image: 








     Other investigations into the effects of turbidity on SAV include field
determinations and laboratory experiments performed by Bourn (1932)  that were
determined to show conclusively that turbidity was probably the chief factor
responsible for SAV destruction in Back Bay and Currituck Sound.   Turbidity
was determined to be deterimental  due to the lessening of light penetration
and silting of plant leaves.

     Hurricane Agnes in 1972 provided a unique and recent opportunity to study
the Bay's recovery time subsequent to a major storm.   The distribution of
suspended solids was greatest in the upper Bay and persisted there longer than
in the lower Bay. By the end of July, the total distribution of suspended solids
in the upper Bay was near normal for that time of year (Davis 1974).  Besides
sampling for SAV, the MBHRL Survey has measured turbidity with a Secchi disk
from 1972 through 1976 (see Table 79).  Data from 1972 was taken in  July and
August and supports Davis1  findings that the Chesapeake Bay recovered within
at least two months.  Average Secchi disk readings for 1972 are generally lower
than the readings taken in 1973 through 1976.  Sampling averages for the entire
Maryland Bay indicate a slight increase in light penetration from 1972 to 1976
with highs in 1974 and 1975.  These measurements are taken within a  two month
period in the summer and so do not reflect yearly averages.


LIGHT

     Light transmission is similarly affected by both turbidity and  color.
Waters high in turbidity or coloring matter are usually penetrated more
deeply by red light (600+ my).  Blue light (400 to 600 my) was found to
penetrate farther in waters with lower coloring and turbidity (Blackburn
et al. 1968).

     Light can be a limiting factor to SAV by determining the extent of the
photic zone.  Sculthorpe (1967) discussed this relationship and stated that
SAV can inhabit suitable areas with as little as 1 to 4 percent of the average
surface light intensity.   Light can also have an effect on seed germination
(Hutchinson 1975).  Potamogeton spp. tend to require light for proper seed
germination, while light tends to be inhibitory to Najas spp. seeds.

     C.H. Southwick and F.  Pine at Johns Hopkins University looked at the
possibility of seed germination being negatively impacted by changes in the
incidence of sunlight reaching the water surface.  A March, April, May and
June average was determined for 1968 through 1973 based on National  Oceanic
and Atmospheric Administration figures taken at Baltimore-Washington Airport.
These months were chosen to correspond with normal Bay seed germination times.
Figures for the percent of total possible sunlight are in Table 80.   Percentage
figures through 1973 showed a very pronounced decrease in percent sunlight for
the spring germination season.  However, data for 1974 through 1976  reverses
this percentage decline, especially for the year 1976.  It is not improbable
that declines of some species of SAV may be related to fluctuations  in sun-
light and seed germination potential. Further experimental studies into the
relationships of light and turbidity in SAV microcosms would be helpful in
                                     231
 image: 








Table 79. Average Secchi disk data (cm) by ri
tern, Maryland Chesapeake Bay, 1972-1976a
Area
code
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26

River system
Elk and Bohemia
Rivers
Sassafras River
Howell and Swan
Points
Eastern Bay
Choptank River
Little Choptank
River
James Island and
Honga River
Honga River
Bloodsworth Island
Susquehanna Flats
Fishing Bay
Nanticoke and
Wicomico Rivers
Manokin River
Patapsco River
Big and Little
Annemessex Rivers
Gunpowder and Bush
River Headwaters
Pocomoke Sound,
Maryland
Magothy River
Severn River
Patuxent River
Back, Middle and
Gunpowder Rivers
Curtis and
Cove Point
South, West and
Rhode Rivers
Chester River
Love and Kent
Points
Smith Island,
Maryland
AVERAGE
1972
33.0
34.3
33.8
67.3
60.7
64.5
70.1
78.2
73.7
64.5
49.5
55.4
94.2
73.7
109.7
42.9
101.6
83.8
97.3
80.3
79.5
45.2
74.7
76.2
89.7
78.5
70.1
1973
35.1
52.3
75.4
62.5
62.5
59.4
64.0
67.3
87.6
65.5
77.0
58.9
94.7
80.0
92.7
38.3
82.0
97.3
70.4
80.8
75.7
77.0
66.0
73.4
74.7
76.2
71.1
1974
-
-
-
76.5
84.3
66.8
74.2
72.6
94.7
82.6
85.6
65.8
101.3
67.8
96.3
46.7
-
73.4
79.5
61.5
73.2
81.8
61.2
100.1
117.6
89.7
79.5
1975
25.7
29.2
61.2
54.6
61.5
63.8
67.1
68.8
177.0
33.8
75.7
61.0
107.4
-
88.1
-
96.8
-
-
66.8
75.4
58.9
48.5
87.9
72.1
139.4
76.2
ver sys
1976
36.3
51.1
57.7
75.9
64.3
78.5
73.4
67.8
83.3
76.5
54.1
58.9
81.0
70.1
85.1
53.8
85.9
74.4
86.4
62.7
61.2
73.7
67.1
85.1
89.9
87.6
71.4
aU.S.  Fish  and Wildlife Migratory Bird  and Habitat Research Laboratory  files
 1977
                                     232
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evaluating their importance in Baywide declines.   Especially important is the
manipulation of radiant energy inputs with other stress factors (i.e. herbicides,
etc.) to determine if there are synergistic effects occurring.

     Table 80.  Percent of total possible sunlight reaching the surface,
     Baltimore-Washington International Airport
           Year                 Spring mean             Yearly mean
1968
1969
1970
1971
1972
1973
1974
1975
1976
59.25
59.75
50.50
58.75
52.25
48.00
56.00
54.75
63.50
58
54
56
55
52
54
55
53
62
           National Oceanic and Atmospheric Administration, Ashville,
          South Carolina, personal communication
          b
           March, April, May and June
SALINITY
     The Chesapeake Bay can be partitioned according to four major salinity
zones:  freshwater (0 to 0.5 ppt); oliogohaline (0.5 to 5 ppt); mesohaline
(5 to 18 ppt); and polyhaline (18 to 25 ppt).   The polyhaline regime is
mainly restricted to the Virginia portion of the Bay whereas the mesohaline
zone dominates the Maryland Bay area. Freshwater is found in all of the Bay
subestuaries along with oliogohaline and mesohaline conditions.

     Species of submerged aquatic vegetation tend to be distributed within
the Bay according to this salinity regime.  General tolerance levels for Bay
vegetation according to Steenis (1970) are as  follows:
                                     233
 image: 








    3 ppt
      Najas guadalupensis (southern naiad)

    3-5 ppt
      Chara spp. (muskgrass)
      Vallisneria americana (wildcelery)

    12-13 ppt
      El odea canadensis (elodea)
      Myrlophyllum spicatum (Eurasian watermllfoil)
      Ceratophyllum demersum (coontail)

    20-25 ppt
      Potamogeton perfoliatus (redhead grass)
      P_. peqtinatus (sago pondweed)
      Zannichellia palustris  (horned pondweed)

    over 30 ppt
      Ruppia maritima (widgeongrass)
      Zostera marina (eelgrass)

    These tolerance ranges tend  to be both  narrow and high compared to other
experimental evidence.   However,  they do  provide adequate information as to
species that tend to inhabit similar ranges.   Thus eelgrass dominates the lower
mesohaline and polyhaline areas  in the Virginia and southern Maryland Bay por-
tions.  Widgeongrass, due to its  extremely  wide salinity tolerance is codominant
with eelgrass but is also found  throughout  most areas in the Bay.  Pondweeds are
found in fresh, oligohaline and  upper mesohaline portions of Maryland and in
the upper and middle reaches  of  Virginia  rivers.

    Increases in salt content generally result in an overall growth reduction.
Due to increases is osmotic  pressure resulting from a higher salt content, the
plant is required to spend energy in salt absorption rather than in growth. A
further reduction in growth rate  results  from the effects of sodium on the
calcium regime and related cell  wall structure   (Chapman 1960).

    Teeter (1965) studied the effects of  sodium chloride on Potamoqeton
gectinatus seed germination and  growth plus tuber production and growth.
As the NaCl was increased to 12  ppt the plants showed visible damage; they
were small and bushy with short,  stubby blue-green leaves, short roots and
the root caps and distal portions of the  roots turned brown. Seed production
was reduced 5,0 percent at 2 to 2.5 ppt.   Tuber production was reduced 50 per-
cent below 1 ppt and above 7.5 ppt, however at 3 ppt there were more tubers
with greater weight produced.  Reduction  in vegetative growth occurred at
9.5 to 11 ppt.

    Teeter found a 50 percent reduction in  seed germination at 6 ppt.  At
15 ppt, sago pondweed seeds were  retarded by 19 days but recovered and germi-
nated in 7 to 8 days after being  placed in  tapwater.  These germination re-
sults after transfer from saline to freshwater confirmed Chapman's (1960)
earlier work.  Chapman had determined that  seed germination of saltwater plants
occurred optimally in freshwater because  saltwater inhibited water uptake by
the seeds.

                                      234
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    Ecological and physiological studies by Bourn (1932) included data on the
growth and salinity relationship of Potamogeton pectinatus, _P.  perfoliatus
and Ceratophyllum demersum.  £_. pectinatus continued to grow well in salinities
up to 12 ppt.   Abundant roots developed, seed production was normal and a
normal green color persisted.  _P. perfoliatus produced similar results up to
11 ppt.  From 11 to 12 ppt there was marked reduction in leaf size, and plants
grew spindly.  _C. demersum decreased in growth in proportion to increases in
sea water concentration.  Normal development continued up to 6.6 ppt, but this
ceased in concentrations of 6.6 ppt or greater.  At 6.6 ppt leaves were reduced
in size and exhibited curling tendencies and stems were spindly     The limit
of endurance was 8 ppt.  Death and disintegration in one week followed concen-
trations higher that 8 ppt.

    Photosynthesis and respiration in relation to salinity were studied by
McGahee and Davis (1971). Myriophyllum spicatum was utilized. It was found
that a 4 to 8 ppt saline solution enhanced photosynthesis while at 13 to 14
ppt where Myriophyllum grew naturally, photosynthetic rates were good, but not
as high as those at 4 to 8 ppt.  Deletrious effects became apparent at 16 ppt
and gradual increases to 32 ppt revealed drastically lowered photosynthetic
rates.  Respiration at all tested salinity concentrations showed no effects.

    Haller et al. (1974) studied the effects of salinity on several species of
SAV to determine toxicity levels. Results indicated that 6.66 ppt or higher
was toxic to Vallisneria americana, 10.0 ppt and over toxic to Najas
guadalupensis and salinities of 13.32 and more toxic to Myriophyllum spicatum.

    There has been speculation that rapid salinity changes in the Bay might be
a factor in SAV declines.Elser (1969) refers to increasing salinity levels
from 1962 through 1966.  Average salinity data by river area obtained from the
MBHRL Survey files indicates that from 1971 through 1976 salinity has decreased
in the Bay (see Table 81).   Because the MBHRL Survey stations are sampled once
a year in the summer, other salinity data was obtained from the Chesapeake
Biological Laboratory.  This is presented in Table 82 and consists of mid-
monthly readings of salinity from the Solomon's pier and shows again generally
decreasing salinities in the 1970s.

    Cronin (1976, p. 6) suggests that low salinity or a related factor"...
has apparently been the primary cause of large (SAV) losses."

    However, as cited above, most species of SAV (and most halophytes) have
little or no problem in tolerating decreased salinity levels.  In fact, with
a reduction in salinity, enhancement of growth and germination often occurs.
Therefore the assertion that the decline of the SAV in the 1970s is due to
lowered salinities commonly associated with Hurricane Agnes is difficult to
substantiate with scientific evidence.  Any effect of Hurricane Agnes may have
occurred through sediment loading problems already discussed or other toxicity
problems discussed below, but probably not salinities.
                                    235
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Table  81.  Average salinity (ppt)  by river system,  Maryland
Chesapeake Bay,  1971-19763
Area
code
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26

River system
Elk and Bohemia
Rivers .
Sassafrass River
Howell and
Swan Points
Eastern Bay
Choptank River
Little Choptank
River
James Island and
Honga River
Honga River
Bloodsworth Island
Susquehanna Flats
Fishing Bay
Nanticoke and
Wicomico Rivers
Manokin River
Patapsco River
Big and Little
Annamessex Rivers
Gunpowder and Bush
River Headwaters
Pocomoke Sound,
Maryland
Magothy River
Severn River
Patuxent River
Back, Middle and
Gunpowder Rivers
Curtis and
Cove Points
South, West and
Rhode Rivers
Chester River
Love and Kent
Points
Smith Island.
Maryland
AVERAGE
1971
_
-
4.200
17.181
15.598
18.932
20.135
19.943
21.217
1.500
18.164
15.400
22.620
5.715
23.030
2.389
22.727
6.633
8.040
8.930
3.288
15.589
9.212
11.703
17.225
23.641
15.441
1972
1.000
1.000
1.000
9.242
9.567
12.468
15.103
15.503
17.395
1.000
14.468
11.213
17.540
1.310
18.837
1.000
19.480
1.000
2.060
4.585
1.000
10.700
5.940
9.239
14.375
18.691
9.663
1973
1.000
1.000
1.750
10.038
9.350
11.726
13.794
14.320
18.933
1.000
14.616
11.203
16.760
1.610
19.705
1.000
18.505
7.600
8.307
10.532
1.000
12.600
9.110
7.197
9.762
21.492
10.371
1974
1.000
2.570
6.400
15.238
14.146
16.422
18.200
18'.723
21.381
1.000
17.656
14.026
20.367
10.333
21.923
3.078
-
14.200
9.200
11.466
5.159
-
-
12.182
15.587
22.618
13.490
1975
3.525
4.430
4.967
10.252
9.259
12.658
15.694
16.200
12.374
3.856
15.040
13.897
19.167
-
18.463
-
15.350
-
-
10.416
3.814
10.367
9.337
7.419
9.400
12.700
10.956
1976
1.000
-
2.960
7.100
6.727
7.895
9.874
9.038
13.909
1.000
13.364
10.453
12.860
2.524
11.075
1.000
10.477
7.183
8.469
11.878
1.000
12.371
9.950
4.851
6.375
13.953
8.487
     Migratory Bird and Habitat Research Laboratory files 1977
                               236
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Table  82.   Average monthly3 salinities (ppt), Chesapeake Biological  Laboratory,
Solomons,  Maryland, 1970-1976°
Year
                                      Salinity (ppt)
      Jan   Feb    Mar    Apr   May    Jun    Jly   Aug    Sep    Oct   Nov   Dec    Average
1970
1971
1972
1973
1974
1975
1976
16.0
13.5
12.5
9.0
10.5
16.5
11.0
13.9
15.0
12.0
8.8
11.0
-
8.4
12.5
10.3
11.0
10.0
11.5
10.5
7.0
7.5
9.3
9.0
10.5
9.5
9.0
8.3
-
11.5
8.8
10.8
9.1
8.5
8.6
11.8
10.3
9.5
8.5
9.5
10.5
9.2
11.9
12.8
3.5
10.0
11.0
9.8
9.9
13.5
13.3
7.0
10.6
12.9
9.8
12.0
14.9
14.4
10.3
12.5
13.5
13.1
12.8
16.0
-
13.1
14.0
14.9
9.6
13.0
15.7
-
14.5
14.5
18.9
10.5
11.5
15.5
13.9
9.4
15.0
18.0
9.9
11.5
13.56
12.43
10.05
11.18
12.53
9.81
10.27
aSa1inity measurements taken on the 15th day of each month
^Chesapeake Biological Laboratory files 1977
FAUNA

     Cyprinus carpio,  or European carp, is known for its destructiveness  to
aquatic vegetation  in  the Chesapeake Bay.   Their feeding patterns in  the  soft
muds for moll usks and  crustaceans can cause turbidity severe enough to  elimin-
ate aquatic vegetation (Uhler 1958).  The  physical uprooting of the plants de-
pletes the beds, but according to Martin and Uhler (1939), the exclusion  of
light due to the "roiled" waters  is the major factor in plant mortality.  Up-
rooted plants then  float to the surface shading out remaining plants  and  in-
creasing the turbidity through detrital output (Sills 1970).  Uhler also  re-
ported that in the  late 1950s submerged vegetation was almost wiped out by carp
on the Susquehanna  Flats.  In an  area of Nomini Creek in the lower middle
Potomac River, a mat of Myriophyllum was reported to have been cleaned  out by
carp in May of 1968 (Steenis et al. 1972).  However, the activity of  Cyprinus
carpio may have been a contributing factor in the dispersal of milfoil  from
1958 to 1965 in the Chesapeake Bay (Bayley et al. in press).

     The cownose ray (Rhinoptera  bonasus), a summer inhabitant of the Chesapeake
Bay, has been linked to the disappearance  of Zostera beds.  The decline of the
eelgrass in late August and early September of 1973 coincided with sightings  of
large schools of rays  (Orth 1976).   In search of hardshelled mollusks,  pri-
marily bivalves, which it crushed between  its dental plates, the rays un-
cover their prey with,  vigorous digging by  their pectoral fins (Orth 1975a).
                                      237
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Their actions were so extensive that large patches of the Zostera beds were
completely uprooted, leaving no roots or rhizomes for regrowth.   Depressions
in the "pock-marked" bottom were generally a mater wide and 20 to 45 cm deep.
Core samples revealing a mixture of sediment and buried decaying Zostera leaves
and roots provided direct evidence of the cownose ray's disturbance.  Upheaval
of the Zostera communities greatly reduced the species diversity and density of
the infaunal inhahitants indigenous to these beds (Orth 1976).  Orth (1975b)
believes that the blue crab, Callinectes sapidus, may have been  another agent
of import in Zostera declines due to an enhanced ability to dig  for fn^d in
sparsely vegetated areas.

     Another potentially destructive group of organisms to the aquatic plants
are the crustaceans, specifically crayfish.   Several  species are known to feed
extensively on the submerged vegetation and have been incorporated into weed
control programs (Martin and Uhler 1939).  Although most crayfish are omni-
vorous scavengers, they revert to vegetarianism when necessary.   Orconectes
causeye, a native to the Western United States and a natural herbivore, was
found most effective against Potamogeton sp. (Commission on International
Relations 1976).

     In addition to aquatic organisms, terrestrial mammals are consumers of
submerged vegetation.  Muskrats may devour emerging plants.  Deer have been
known to feed extensively on aquatic plants when deer populations are especially
abundant.  Potamogeton spp. are usually abundant in beaver flowages, especially
the older ones (Linduska 1964).

     Various species of waterfowl are well known for their food  preference for
for SAV (see Chapter 2).  Waterfowl populations have been seen to cycle with
SAV populations fluctuations.  This relationship between SAV and waterfowl has
been of long standing and there is no indication that waterfowl  have been over-
razing the Chesapeake Bay in recent years.

     In conclusion, however, most documented destruction of SAV  by fauna is
for comparatively small areas.  It is implausible at this time to attribute
the massive decline in Bay rooted aquatics to grazing activities of any
animals.
SEDIMENTS

     The importance of sediments, their physical characteristics and chemical
composition, in influencing the distribution of submerged aquatic plants has
long been recognized.  Early workers (Pond 1905; Pearsall 1920; Misra 1938)
in their analyses of factors that determine the distribution of freshwater
macrophytes, were of the opinion that the nature of the substrata was the
single most important variable.  This rather simplistic conclusion failed to
consider the interactions between sediments and other chemical, physical and
biological forces.

     The role of sediments in supporting submerged rooted plants is two-fold.
The substrata serves a physical function as a medium for mechanical support
                                      238
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of the plant.  This was at one time thought to be the primary function, and
that the roots of submerged plants, with a lack of an advanced vascular system,
only anchored the plants (Welch 1935).  However, the work of Pond (1905),
Pearsall (1920) and others suggested that rooted macrophytes derived some of
their nutrition from the sediments.  Recent work with radioactive tracers has
confirmed this (McRoy and Goering 1974; Demarte and Hartman 1974).  Thus,
the second role of sediments is in the mineral nutrition of the plant species.
The distribution of submerged aquatic vegetation is dependent on the ability
of the sediments to not only provide mechanical support but also nutrients.

     The sediment itself is derived from eroded bedrock, terrigenous input and
biological activities within the aqueous environment.  This material is sorted
by turbulent activities with coarse sediments being deposited first and follow-
ed by progressively finer sediments.  In lentic systems, this results in a
gradation of coarse sediments inshore and finer particles farther out.  In a
tidal estuary, finer particles are desposited in the upper reaches of high
tide according to the scrub and scour lag theory of Postma (1967).  These
areas thus serve as sediments "traps".

     Besides providing firmer root support, finer sediments possess a greater
surface area for adsorption of various compounds and allow a high cation ex-
change capacity.   Nutrients such as ammonium ions and various phosphate com-
pounds may enter the aqueous system adsorbed onto sediment particles and
become incorporated into the sediment proper where they can be available to
rooted aquatics.   Many pesticides and herbicides also bind readily to fine
particles and may reach greater concentrations in sediments composed of these
particles.

     Organic matter introduced into the sediments creates an oxygen demand
through its decay.  This leads to the formation of anaerobic sediments in
submersed soils where oxygen input is limtied.  Anaerobic soils enhance the
availability of certain nutrients.   However, too much organic matter such
as found in peat formations possibly could deplete oxygen to a point where
existence of submerged aquatics in unlikely.  Loss of nitrogen through
denitrification may also be significant.

     Submerged aquatic vegetation is generally absent in areas of high
turbulence (Sculthorpe 1967).  In the Back Bay area, soils which are poten-
tially the most productive are in actuality the least productive due to
turbulence which tends to resuspend fine sediments.  Allocthonous siltation
may modify the sediments to a point where a change in vegetation patterns
becomes evident.   Jones (1949) attributed the absence of submerged vegetation
in a Welsh river to an unstable, shifting sediment caused by siltation from
mining wastes.  Heavy storms may alter sediment patterns by input from the
land and may have more impact than "normal" runoff.  For example, Hurricane
Agnes dropped more suspended matter into the upper Chesapeake Bay in a 10-day
period than in the previous 10 years (Schubel 1974).  However, submerged
plant communities tend to self-maintain in regards to shifting sediments by
the stabilizing action of roots, stems and leaves.  A change in bottom sedi-
ments from soft to hard may also affect vegetation patterns (Cronin 1976).
                                     239
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     In general, submerged aquatic plants are unable to colonize such  coarse
substrates of boulders, stones and gravel and prefer stablized fine sediments
such as would make up muds.   Under both field and laboratory conditions,  Misra
(1938) found the greatest growth of Potamogeton  perfoliatus  to occur in sedi-
ments which he termed "moderately organic black  flocculent mud" with a humus
content of 12,.26 percent.  Elodea canadensis was found in sediments of the
same physical type but with slightly higher organic content  (20 to  40  percent)
in the same sltudy.  Martin and Uhler (1939) found that while firm sand would
support the growth of Potamogeton, VaTlisneria and Ruppia maritima, this  was
not the optimum substrate.  In addition they showed a retardation of growth
in sediments of high organic content due to the  exclusion of light  by  dis-
solved matter:.

     In the Back Bay area of North Carolina, clay and shell  substrates were
found to be pborly colonized by submerged aquatics as were peat sediments
(Bureau of Sport Fisheries and Wildlife et al.  1966).   Silt and loam  were
the preferred media followed by sand.   In this study, Vallisneria and
IP. pectinatus were found to occur on sand, silt  and loam at  all depths.
IP. perfoliatus and Naja_s_ were more abundant on silt and loam than on sand.
IR. maritima and Chara occurred most frequently on sand, followed by shell,
clay and loam and were rarely found on peat, muck or silt (Bureau of Sport
Fisheries and wildlife et al. 1966).

     Fenwick (unpublished) in a survey of submerged aquatic  vegetation of the
Chesapeake Bay found that finely divided mud supported the best growth.  Of
stations examined which had at least partial mud substrate,  67.7 percent
possessed vegetation.  Sand was found to be the  next best (61.8 percent were
vegetated) and peat sediments were colonized the least (12.9 percent).

     The sediments thus appear to be instrumental in the distribution  of
submerged aquatic vegetation.  However,  the compostion and  type of sediment
is itself controlled by a multiplicity of interactions of a  physical and
chemical nature, many of which also affect the submerged aquatics directly.
In summary, the effect of the sediments on Chesapeake Bay submerged aquatic
disappearances is probably not a direct one, but may be extremely important  in
the adsorption and transport of other toxic substances, in SAV occurrence and  in
light exclusion discussed previously.


TEMPERATURE

     The extent to which temperature in the aquatic environment influences the
distribution of hydrophytes is limited because of less severe temperature
fluctuation compared to an aerial habitat-Water serves as a  buffer for tempera-
ture.  Diurnali fluctuations, however, may have a significant impact on the
metabolic processes due to the interactions of temperature with the dissolved
oxygen concentration and nutrient  supply (Sculthorpe 1967)  and carbon ava  abil-
ity  as well. The use of water for irrigation practices, dams and industrial
wastes can result in thermal loadings to the Bay.  Mihursky  (1969a, p. 6)
defines thermal loading as"...  a man-imposed, excess rise in waterway tempera-
ture which may gravely threaten aquatic life involved".  Steam electric
                                       240
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stations are considered to be especially harmful  since an average 335 megawatt
(MW) conventional coal-fired generating station requires under winter opera-
tion 950,000 liters of water per minute with temperature increase of 12.8  C
between intake and effluent in a normal estuarine one-pass design.   During
other seasons the steam electric station (S.E.S.) industry pumps through
1,900,000 liters of water per minute, heating the water to an average of 6.4 C
above ambient (Mihursky 1969b).   For every kilowatt (KW) of electricity pro-
duced, two KW of energy are discharged as waste heat (Mihursky et al. 1970).
The discharge of this effluent forms a plume-like pattern of warm water over
the source (Mihursky 1969b) which eventually becomes confined to the shorelines
(Anderson 1966).  An atomic or nuclear S.E.S. is  about 32 percent efficient
in energy conversion compared to an approximate 40 percent efficiency of a
fossil fuel  S.E.S. (Mihursky and Cronin 1974).   Atomic plants require more
cooling water per MW than fossil fuel plants (Parker 1965) and produce ap-
proximately 50 percent more waste heat per unit of electricity (Mihursky 1967).
For the nuclear plants to economically compete, they must be of large capacity
of the order of 1,000 to 4,000 MW requiring up  to 265 billion liters of water
per day for cooling (Mihursky 1967).  With electrical requirements ever  in-
creasing, Mihursky (1967) projected that this demand will double every six to
ten years.

     Other than the dissolved oxygen concentration,  temperature governs nume-
rous interdependent factors such as concentrations of carbon dioxide, pH,
toxicity and biochemical reactions (Hoak 1961).  Any heating four feet below
the surface can be considered the beginning of  a  serious situation (Anderson
1966).  The equilibrium concentration of dissolved oxygen is inversely propor-
tional to the temperature (Hoak 1961).  When passing through a condenser in
a power plant, the oxygen content of the water  is reduced.  This reduction
could be serious, but studies reveal that this  lost oxygen is quickly re-
plenished (Engle 1961).  The distribution of effluent is characteristically
patchy in estuarine systems due to the complexities of flushing and layering
which may be encountered, sometimes causing locally lethal temperature
conditions (Naylor 1965).  Lethal levels, either  high or low, can directly
cause mortalities, influence daily and seasonal behavior or influence dis-
tribution and abundance in plant popluations (Mihursky and Pearce 1969 ;
Mihursky 1967).  Although acclimatization is suspected (Naylor 1965), unsuit-
able temperatures are generally tolerated rather  than compensated for which
could affect metabolism, reproduction, etc. (Anderson 1966).  Setchell (1924)
found that above 25 C, anthesis of Ruppiamaritima was slow.  If the temperature
continued, the process ceased altogether.  However, in temperatures from 22 to
24 C, Ruppia flourished and bore fruit (Setchell  1924).  Ritchie and Genys
(1975) report temperatures as high as 30 C in the Patuxent River where
Anderson (1966) investigated the disappearance  of Ruppia maritima across the
river from the effluent canal of the Chalk Point  generation plant.   Anderson
(1966) found that Ruppia is sensitive to sudden changes in its environment
especially during periods of seed germination and the production of new shoots
from rhizomes.  Recorded temperatures of 25 to  26 C in May of 1965, which are
borderline for new shoot production in Ruppia,  are apparently significant
enough to cause this plant's disappearance.  Although other contributing
factors are possible for Ruppia's decline, considering its sensitive nature,
Anderson (1966) indicated that the raised ambient temperatures from power
                                      241
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effluent input was the primary cause of decline.   Potamogetpn perfoli atus
increased in coverage after opening the Chalk Point power plant indicating
the species tolerance for elevated temperature and salinity (Milhursky 1969b).
Anderson (1969) concludes that P_.  perfol iatus became physiololgically adjusted
to atypically high environmental  temperatures.  Ceratophyllum demersum and
water plants in general  are more easily damaged by environmental  changes than
terrestrial plants.

     This substitution of one species for another is an example of factor
compensation (Odum 1971).  However, the massive SAV decline of the 1970s
shows no indication of larger scale species substitution--almost  every species
is negatively affected.   This seems to indicate a different type  of a problem
than temperature.  Furthermore, although Orth (see Chapter 1) believes that
the increasing winter water temperatures in the early to mid 1970s may have
caused Zostera declines  in Virginia, the temperature data (Figure 16)  for
Baltimore and Solomons indicate  much less of a rise in Maryland  waters.  In
fact, when the MBHRL occurrence data is plotted against yearly temperature
averages at Solomon's Maryland, a positive low correlation is obtained (r=.16).
This indicates that temperature rises in the upper Bay seem to be accompanied
by slight rises in SAV.    However, the relationship is so weak that it is
probably insignificant biologically.  When the monthly temperatures at Solomons
during the growing season were plotted against percent occurrences of SAV,
the following "r" values were obtained:  April, +.53;  May, +.48;  June, +.51;
July, +.12; August, -.44; and September, +.94.  Although April through July
and September show a positive correlation similar to the yearly upper Bay
temperature trend, the August temperatures are inversely correlated.   This
finding is interesting since it substantiates field observations  that August
temperatures seem to regulate SAV population declines.  However,  the magnitude
of the correlation is not high enough to attribute the 1970s decline to summer
temperatures.


DISEASES

     The disappearance of the submerged aquatic vegetation of the Chesapeake
Bay has been attributed to several physical and biological factors.  In a
few cases specific organisms have been found to be associated with the popula-
tion decline of certain plant species within the Chesapeake Bay.

     Rhizoctonia solani, a fungus found to be pathogenic to Potamogeton
pectinatus, is generally found worldwide in areas where the staple crop is
potatoes.   Bourn and Jenkins (1928) concluded th a t Rh i zoctoni a wa s the most
important factor in the disappearance of aquatic duck food, though Lumsden
et al. (1963) questioned the extent of its importance.  Bourn and Jenkins
(1928) determined that this pathogen would kill aquatic plants and attack such
terrestrial plants as the potato.   An additional  strain of R_. solani  from
diseased potato plants was found to attack aquatic plants.  Penetration of
R^. solani into its hosts by hyphae is commonly through the intact epidermis
from beneath dome shaped infection cushions, or directly through  openings
and wounds (Joyner and Freeman 1973).  Experimental evidence showed that in
June diseased plants were coated with gelatinous remains of old hydroid


                                      242
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colonies.  Subsequently, dark brown lesions appeared on the lower stems.   From
August to September the effects were more acute and resulted in the complete
browning and death of entire aquatic plant beds.  Although Bourn and Jenkins
(1928) found that increased salinity between 2 and 7 ppt lowered plant resis-
tance, Lumsden et al. (1963) found salinity inhibitory to R,. solani at 4 to 6
ppt.  Studies with water hyacinth revealed increased susceptibility at 28 C
which decreased at 30 C or above (Joyner and Freeman 1973).

     Rhizoctonia solani has been found to attack the majority of the species
of duck food plants with Potamogeton pectinatus being the most susceptible.
Vallisneria and Najas are not readily infected unless associated with
Potamogeton.  Ruppia maritima was found to be the most susceptible next to
Potamogeton but usually survived infestation due to its reproductive powers.
Susceptibility generally decreased when plants grew in sandy soil somewhat
sheltered from the winds (Bourn and Jenkins 1928).

     The 1961 blight of Potamogeton  pectinatus in North Carolina was found to
result less from the presence of R_. solani and more from combined environmental
factors along with one or more Phythutm species.  Three unidentified Phythium
species were determined with Phythium-3 being the most likely infectious agent.
Areas of higher salinity resulted in improved plant condition, however this
increased resistance to disease infection could have been the result of more
favorable environmental conditions for the plants (Lumsden et al. 1963).

     Prior to 1963, Myrigphyl1 urn spicatum inhabitated over 40,000 ha in the
Chesapeake Bay (Elser 1969).ITs subsequent decline has been attributed to
Lake Venice Disease and/or Northeast Disease whose responsible pathogens have
yet to be isolated.  Elser's study revealed that by 1967 healthy milfoil  was
nowhere to be found in Maryland with most beds showing symptoms of both
diseases.

     Lake Venice Disease manifests itself as a brownish, silt-like coating on
leaves and stems that causes a gradual wasting away of the host.  If flowering
occurs, it is very sparse (Elser 1969).  Only under low light intensities
(indirect light) in the labortory well plants produce symptoms resembling Lake
Venice Disease, and the disease cannot be mechanically transmitted (Bean
et al. 1973).  Bean et al. concluded that only after low light intensity ex-
posure does Myriophyllum become susceptible to Lake Venice Disease.  The casual
agent may be a bacterium, virus or fungi.

     The Northeast Disease which attacks milfoil was extensively researched
by Bayley et al. (1968) who concluded that the disease was a virus, virus-like
particle  or a toxin.  Dr. K. Corbett (Virologist, University of Maryland) has
suggested that a causal agent may not exist, but rather the  disease is a
result of a combination of environmental conditions (personal communication).
The Northeast Disease symptoms are: initially broken leaflets; stems and leaves
turn dark brownish green and become stiff; and the leaves gradually drop off
leaving a blackened stem.  Distortion of the petioles is commonly seen when the
diesease progresses slowly (Elser 1969).
                                      243
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     Prolific growths of Zostera marina were characteristic of the Atlantic
Coast of the northern United States and  Canada prior to 1931.   At the same
time the West Coast of the United States and European Zostera beds  were also
dimishing in size.  Local declines were noticed as  early as 1930.   A devasting
disease which has inconclusively been attributed to Labyrinthula microcystis
almost completely destroyed the Zostera beds over much of the Atlantic Coast of
the United States from Beaufort, North Carolina to  Nova Scotia by  1932 (Tutin
1934; Mackin unpublished).  Destruction of the eelgrass beds resulted in the
washing away and erosion of previously bound sediments changing their con-
figuration and productivity (Linduska 1964).  The disease has been described
as "epiphytotic" and "enphytotic" for various areas.  In recent years, some
recovery has occurred both in the United States and Europe (Mackin  unpublished).

     The infection is not usually visible on new tissue, however,  older leaves
display dark splotching and/or black lower leaves.  Although usually confined
to the leaf epidermis, spotting may occur in any green tissue.  Streaking is
the result of the infection of the larger, longitudinal mesophyll  cells ending
at the lateral septa.  The stem cuticle,  cortex and rhizomes may  also become
darkly discolored (Renn 1935; Tutin 1934).

     According to Young (1943) the predominant morphological stage is the neo-
plasmodium.  In this stage masses of filaments form an "intricate  lacy network"
on which tapering cell bodies migrate singly or in  "rope-like aggregates".
Sprus and vegetative cyst formationisa characteristic form in which the disease
is believed to be transported by water currents (Mackin unpublished).  The
mechanism of motion is unknown, but the spindles produce filamentous pathways
on which the organisms seem to glide.  Apparently,  nutrition is obtained
through extracellular digestion and absorption in solution (Young  1943).

     Labyrinthula has been found to be extremely tolerant of its environment.
Activity occurs in a range from 0.3 to 27 C, but the optimum temperature appears
to be between 14 and 24 C.  This optimum correlates with the fructification of
Zostera,blighting it just prior to propagation. The pH tolerance ranges from
4 to 9 without great alteration of the organism's activity.  Roughly the
salinity optimum is from just below seawater to quite a bit above  it.  The
temperature and salinity preferences are similar to the conditions prevalent
during the recorded periods of massive infestation  during the summer months.
Additional hosts which are generally closely associated with eelgrass beds
include:  two algae, Cladophora hirta and Chaetomorpha spp. Linum; and
Zannichellia palustris var major and Ruppia maritima var. rostrata (Young 1943).
Mackin_(unpublished) also cites Fucus furcatus, Ectocarpus conferoides,
Cystociom'um perpureum (all algae^ and Zostera hornemanniana.  This wide host
range could insure the continued presence of Labyrinthula (Young 1943).

     Another suggested causative agent for the disappearance of Zostera is the
fungus Qphiobolus halimus.  Its abundance and activity is variable, especially
in the United States, and is not necessarily found  in areas diseased by
Labyrinthula (Renn 1935).  Mackin (unpublished) stated that its importance
in the wasting disease of eelgrass in the United States was improbable since it
was so rarely found.  Renn (1934) restricted Ophiobolus effects to Canada and
northern Europe.
                                    244
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      A considerable amount of controversy exists over the causative agent(s)
for the disappearance of Zostera marina.  Labyrinthula has not been conslusive-
ly determined as the causative agent and Qphiobolus has been almost eliminated
from consideration.  The salinity and temperature fluctuations have also been
considered for the decline.  Butcher (1935, p. 545.) summed up the situation by
concluding that the disappearance of Zostera was more than likely due to a
"large number of circumstances and not...a single catastrophic event".

      Elevated temperatures can result in a sub-optimal physiological condition
enabling opportunistic pathogenic organisms to overcome their hosts.  Since
many pathogenic organisms are ubiquitous and constant components of the aquatic
environment, the development of stress conditions, i.e. elevated temperatures,
can result in infection perhaps leading to significant declines in areas af-
fected by thermal plumes (Mihursky et al. 1970).

      Field observations in the 1970s have not indicated any recurring  disease-
like symptoms on SAV.  In the summer of 1977, Suzanne Bayley examined an ex-
tensive bed of Myriophyllum which looked brownish, but concluded it was not
diseased.  R&ther the brown film on the leaves and stems was a mixture  of
periphyton, detritus and sediment.  The involvement of SAV as a group in recent
declines would seem to indicate that  disease alone has not been responsible.
The likelihood is small that all the species in the Bay could be hit by  a
single pathogenic species.   It is possible that some major ecological change
could have resulted in the lowering of plant resistance thus allowing invasion
by a pathogen or series of pathogens.  This environmental change could  have
been one or more of such factors as turbidity, chlorine or agro-chemicals.


LOCAL ECOLOGICAL FACTORS

      There are several environmental factors that negatively impact submerged
macrophytes on a localized level.  Included among these are dredging and boat
traffic. Direct action from these sources can cause uprooting and physical
damage to grass beds.   However, indirect impacts can be caused by the  reintro-
duction of bottom sediments into the water column thus increasing turbidity.
The degree of impact from suspended sediments is related to bottom sediment
composition.  Fine, silty organic materials require more time to settle out
than heavier, sandy material.

Dredging

      A hydraulic clam dredge, for example, uproots all vegetation in a 75 to
90 cm wide paith.  This apparently happended at the north side of Cambridge
Bridge on the Choptank in the 1960s.  In very shallow water,     boat pro-
pellers also uproot SAV.  The extent and permanency of damage to SAV beds
depends on the reproductive means of the species involved.  Species that
normally reproduce only sexually could be virtually wiped out by extensive
dredging.  Species capable of vegetative reproduction have better chances for
survival.
                                       245
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     Manning (1965) discussed experiments conducted in the Patuxent River and
the Eastern Bay in 1956 to determine revegetation requirements  for areas
stripped of vegetation by clam dredges.   In comparing two sections of the
Patuxent River, one area where thousands of bushels of clams  had been dredged
and another area where dredging was prohibited,  the conclusion  was reached
that natural forces and conditions were  responsible for SAV distribution  and
abundance rather than clam dredging.    No long  term impacts  from dredging
activities could be proved since the prohibited  area showed less vegetation
than the dredged one.

     Dredging for the purpose of increasing ambient depths completely removes
existing vegetation and alters the habitat.  Macrophytes normally colonize
the shallower areas along the shoreline  and extend out into deeper water  based
on the photic zone.  By increasing the depth, SAV would be prohibited from
recolonizing due to a decrease in the amount of  light reaching  the new dredged
bottom depth.  However, dredging results in piece-meal destruction of a local-
ized nature rather than in Bay-wide impacts.

Boat Traffic

     Damage to submerged macrophytes from boat propellers is  essentially  of
local importance.  However, with the increased number of pleasure boats that
presently navigate the shallow water areas of the Chesapeake Bay estuary,
damage to existing beds could be considered to be more extensive.

     Figure 15 (Chapter 1) shows an aerial photograph of an eelgrass bed in
Mobjack Bay, Virginia, that has been impacted by boating activity.  The
crisscrossing pattern of light streaks indicates boat propeller damage.  This
destruction is usually seasonal but excessive propeller disturbance over an ex-
tended period of time would continue to limit SAV on a localized basis.
WATER MOVEMENT - TIDES AND CURRENTS

     Submerged aquatic species do not normally colonize areas subject to
continuous strong currents or tides.  Excessive water movement tends to scour
the bottom to such an extent that submerged macrophytes are prohibited from
colonizing.  Such water movement also resuspends fine sediment particles and
contributes towards increased turbidity.

     Daily tidal flushing is necessary within an estuary in order to remove
metabolites and bring in nutrients.  This was thought by Teal (1962) to be
responsible for the high productivities in a tidal salt marsh and was found
necessary for aquatic plant community development in the South River (Philipp
and Brown 1965).  Submerged plants are exposed to daily variations in light
quality and quantity as a result of tidal currents.    In .extremes this can be
detrimental' (Joanen and Glasgow 1965).  Extreme low tides cause plants to
become exposed resulting in dessication.  Extreme high tides raise ambient
water depths and effectively decrease light penetration to the benthos.
                                      246
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     However, a scan of tide records from the Chesapeake Biological  Laboratory
at Solomons, Maryland did not show any abnormal  tide events which did not also
occur in previous decades.  Therefore, this can  be safely ruled out as a major
factor in the SAV declines of the 1970s.

     Extreme water movement resulting from storm events can cause substantial
physical damage to existing aquatic beds.  Field observations by McCann (1945)
determined that the branch tops at the surface are often fractured by wave
action.  In the case of Ruppia maritima,  these detached fragments are not
capable of survival.  Such storm events as Agnes in 1972 and Eloise in 1975
may have negatively impacted Bay submerged vegetation; however, historic
accounts of previous major storm events do  not  indicate vegetation losses
from storm damage alone.  This is probable because submerged aquatics can
quickly colonize areas by vegetative reproduction (see Chapter 1).  Thus
physical disturbance is a stress factor which these plants are well  adapted to.


PH

     As discussed in Chapter 2, the photosynthesis and respiratory activity of
submerged aquatic flora causes diurnal fluctuations in the dissolved C02 content
of an aquatic environment.  pH, in turn,  affects plant enzyme activity, seed
germination and variety of other plant responses.

     The normal pH of the Chesapeake Bay is from about 6 to 9.  Drastic fluct-
uations could cause damage to SAV; however, given an otherwise favorable en-
vironment and sufficient necessary nutrients, most SAV species should be able
to tolerate a wide pH range.  Extreme pH fluctuations can probably be found
as a localized condition resulting from industrial effluent input.  Such a
situation would be of a point source nature and  would affect native vegetation
only in the immediate vicinity of the effluent sources.  No documentation
has been found as to whethkr pH fluctuations have affected SAV in the Chesapeake
Bay.


CARBON DIOXIDE SOURCES

     Submerged aquatic species have potentially  three entry ports for the C02
necessary for photosynthesis.  Aquatic plants are capable of utilizing dis-
solved C02 in the water column through leaf uptake.  They are also able to  take
up bicarbonate ion (HC03~) for usage, and finally CO  may possible be taken up
from the sediments by the roots and transported  to the leaves.  These three
possibilities are of interest because they furnish the most crucial  raw material
for photosynthesis in the  stuarine environment—carbon.  Any limitation in the
carbon availability would be reflected in an intermediate decline of SAV pro-
ductivity.  The problem is that carbon dioxide dissolved in water has a much
lower coefficient of molecular diffusion than under gaseous conditions.  This
situation is complicated by the existence of a boundary layer of unstirred water
near the surfaces of SAV leaves (Gessner 1955, cited in Sculthorpe 1967).
These physical conditions lead to a very slow entry rate of CO  into aquatic
plants compared to land plants under the same concentrations of free C02.
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This limited accessibility has given an evolutionary advantage to those species
which maximize surface area for absorption of COa-   Dissolved C02 appears to be
the preferred carbon source for submerged aquatic vegetation (Steeman Nielson
1946).

     It has  long been speculated and argued that aquatic plants possess the
ability to utilize bicarbonate ions for subsequent use in the Calvin cycle.  A
historical review on the subject is presented by Sculthorpe (1967).   Hutchinson
(1975), in a synthesis of the various experiments performed in this  regard,
concluded that of the flowering aquatic plants which occur in the Chesapeake Bay,
the following can use bicarbonate as a source of carbon:  Ceratophyllurn demersum,
Myriophyllum s pica turn, Vallisneria sjn'ralis. Elodea canadensis and Potamogeton
pectinatus.  The selective advantage that this ability confers is significant.
When the pH rises above 9.0, free carbon dioxide does not exist, and plants
existing at levels higher than this would have to be able to use HC03~.
Assimilation in more'acid conditions could occur, even if the CCh levels were
removed to a point of depletion.  In most aqueous systems, the concentration
of HC03~  is likely to be several times and in some cases several hundred times
the concentrations of C02.  The advantage of being able to draw on this reserve
in periods of low dissolved C02 is obvious.

     Bicarbonate ions are taken up through both sides of the leaf of Potamogeton
as the calcium salt.  This uptake is balanced by the release of Ca(OH)a through
the upper surfaces, and the reaction is light dependent (Hutchinson 1975).  The
uptake mechanism and subsequent usage of bicarbonate can be thought of as a
rough aquatic analog to the 4-carbon Hatch-Slack pathway evident in some
terrestrial species.  Carbon dioxide in both cases is complexed with a "carrier"
compound and actively transported to a location where decarboxylation can occur
and C02 entered into the Calvin cycle.  The chemical nature of the carrier in
aquatic species is unclear at this time.

     Wiurn-Anderson (1971) working with an aquatic genus not covered by this
volume, Lobelia, has determined that root uptake of C02 occurs followed by
trans!ocation to the photosynthetic site.  That this occurs in other macrophytes
has not been determined, however, a suggestion of this is seen by Hutchinson
(1975) in the presence of many chloroplasts in the cells surrounding air spaces
in the submerged stems of Myriophyllum.  This pathway may be significant in
environmental situations where C02 levels in the water column are low and those
in the sediments high.

     Submerged aquatic vegetation may be carbon limited under certain environ-
mental conditions.  There is a close association in natural sea water between
salinity, pH and bicarbonate supply.  A drop in salinity results in a pH drop
and a shift in carbon form away from bicarbonates and thus may limit photosyn-
thesis (Hammer 1968; Ogata and Matsui 1971).  The shift in carbon source is
likely to be more of a limiting factor than the osmotic pressure differential
which also accompanies lowered salinity.  Hammer (1968) maintained photosynthetic
levels while dropping salinity by the addition of biearberotes.
     Changes in submerged vegetation patterns noticed in recent j^,^ „.-., 	3s.
on carbon availability.  Salinity in the Chesapeake Bay has decreased somewhat
     ntly from an average of 15.441 ppt in 1971 to 8.487 ppt in
                                                         recent years  may hinge
un Ldruun dVd i iduiiity.   ocumiuy in uie uriebdpecn^e  oay  iias  decreased  somewhat
recently from an average of 15.441 ppt in 1971  to  8.487  ppt  in  1976.   Following
                                    248
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the argument presented above, the carbon balance has then been shifted in favor
of C02-  Qrth (unpublished) believes temperature to be an important factor in
the decline of SAV.  The rise in temperature he has noted would decrease the
solubility of C02 thus making it less accessible to macrophyte species.   Nutrient
inputs could ehnance algal species that, because of their favorable surface
to volume ratio, could compete effectively with aquatic macrophytes for
available C02.  More research involving carbonate levels needs to be done to
determine the relative importance of this factor in assessing SAV declines.


HEAVY METALS

     Heavy metals occur naturally in marine, brackish and fresh waters generally
in increasing concentrations with decreasing salinity (Bureau of Land Management
1976).  Table 83 lists various common heavy metals with estimated values of
natural occurrence in marine and fresh waters.   Higher values in estuarine
waters result from man-oriented sources as point and nonpoint pollution such as
municipal wastes, industrial effluents, agricultural drainage and petrochemical
products (Schroeder 1977; Sculthorpe 1967; Bureau of Land Management 1976).

     Heavy metals generally are resistant to biological or chemical degradation
(Bureau of Land Management 1976).  Once introduced into an aquatic medium,
soluble heavy metals tend to  become adsorbed,  complexed or precipitated onto
particulates.  Adsorption may occur not only to sediment particles but also to
phytoplankton (Schroeder 1977).  Not all metals are adsorbed equally nor are
heavy metals associated solely with particulates.  Small amounts of heavy metals
can remain in solution (Bureau of Land Management 1976).

     The role of heavy metals in plant metabolism is not fully understood.  Some
relationships, however, have been established.   For instance, iron appears to
be necessary for chlorophyll synthesis; manganese is essential for respiration
and nitrogen metabolism; copper is an important enzyme component; and zinc is
involved in auxin synthesis (Devlin 1975).

     The normal uptake of heavy metals by submerged aquatic vegetation frequently
results in element concentration in plant tissue.  Hutchinson (1975) cites the
work of numerous scientists substantiating the  concentration of vanadium, copper
and zinc by P. pectinatus, copper and zinc by Vallisneria sp. and copper by
Chara sp.  Both El odea and Myriophyllum spicaturn were found to concentrate iron.
Ceratophyllum demersum has been tested extensively for metal concentrations and
found to accumulate copper, zinc and chromium.   Concentration factor ratios of
element concentration in organism to element concentration in environment have
been documented in Ceratophyllum demersum for arsenic (1,100 to 1,700 ppm),
cadmium (500 to 700 ppm) and mercury (about 70  ppm).  Experiments with Zostera
marina in Alaska (Bureau of Land Management 1976), have shown that zinc, copper
and cadmium can become concentrated in roots, rhizomes and leaves.

     It has been previously established that SAV plays an essential role in the
food web through consumption of live material and detritus by herbivores and
filter feeders (see Chapter 2).  Due to the ability to concentrate heavy metals,
SAV can serve as a vehicle for the recycling of heavy metals to higher trophic
levels.  This can result in increased and possibly toxic levels of heavy metals
                                     249
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Table 83.   Naturally occurring soluble concentrations  of various  heavy metals
in seawater and United States rivers
                          Concentrations                   Concentration ranges
                           in  seawater                     in U.  S.  rivers
Element                     ppb
Brewer 1975 (cited in Schroeder 1977)
Kopp and Droner 1968;
Typical concentration
Mercury
Cadmium
Zinc
Copper
Nickel
Lead
Silver
Cobalt
Iron
Manganese
Chronium
0.03
0.1
4.9
0.5
1.7
0.03
0.04
0.05
2
0.2
0.3
<0.1 to 17
<0.1 to 80
1 to 800
0.9 to 12
0.3C
3C
0.1 to 0.55
0.037 to 0.44
< lc
<1 to 180
0.1 to 2.46
   Kopp and Droner 1968; Turekian 1971 (cited in Schroeder 1977)
c
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in aquatic fauna and man.  However, without SAV to aid in recylcling metals,
bottom sediments in the vicinity of heavy metals input can become a metal  sink
of sufficient toxicity to be unable to support any life (Davey and Phelps  1975),

     Toxicity of heavy metals to species of submerged aquatics has not been
established.  Hydroponic studies by Lee et al. (1976) determined that several
species of marsh plants were sensitive to heavy metals.  They found that
levels of iron and phosphorus in plant roots were related to the accumulation
of zinc, nickel, lead and chromium.  The absorption and translocation of
phosphorus may be influenced by heavy metals.  Sensitivity to heavy metals may
also be greater in plants with a lower capacity to absorb and translocate  iron.
Lee et al. concluded that phosphorus and iron levels in roots may serve as a
mechanism to control heavy metal levels.

     Based on the lack of knowledge of the biological impacts of excessive
levels of heavy metals to SAV and the extent of heavy metal pollution in the
Chesapeake Bay, it is not possible to correlate recent SAV declines to metal
inputs.  It is possible that Bay grasses may be accumulating heavy metals  in
toxic or near  toxic concentrations;  however,  there  is  no  data available to
support or refute such a hypothesis.
PETROCHEMICALS

     Increasing inputs of petrochemicals and petrochemical products into the
nation's waters have become a cause for concern.  Petrochemicals enter the
aquatic environment from tankers, refineries, municipal and industrial
effluents, boats, and urban and river runoff.  Despite the extravagance of
petroleum inputs from oil spills, an estimated 41.7 percent of the petroleum
products that reach marine environments come  from urban and river runoff.
Farrington (1975) refers to this input as "chronic dribbling."

     Rough estimates of annual petroleum inputs into the Chesapeake Bay
(U.S. Army Corps of Engineers 1977) indicate approximately 47 percent comes
from urban and river sources.  Municipal and industrial sources account for
about 44 percent.  These percentages are based on a total input of about
37,200 metric tons per year.  The remaining petrochemical inputs consisted of
0.8 percent from oil spills, 1 percent from ship generated wastes and 8 percent
from boats.

     Sediment sampling by the Annapolis Field Office of the U. S. Environmental
Protection Agency (U.S. Army Corps of  Engineers 1977) found a range from
420 to  81,220 mg/kg oil and grease in Baltimore Harbor sediments.  "Oil and
grease", as defined by EPA's laboratory analysis, included naturally occurring
lipids and hydrocarbons.  Thus in order to differentiate between naturally
occurring and man induced oil and grease,  EPA suggested that any oil and grease
concentrations in sediments greater than 1,000 to 1,500 mg/kg would probably
have resulted from petroleum contamination.

     A study by the Chesapeake Bay Foundation (1977) concluded that from 1973
through 1976, 379,702 gallons of petroleum products entered the Bay from spills
in Maryland during transport and handling.  Virginia contributed 497,391 gallons


                                      251
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from 1974 to 1976.  Spills in Baltimore Harbor resulted  in  40 percent of the
Maryland input and 50 percent of the Virginia contribution  occurred in the
Elizabeth River.

     Included in petroleum products are a number of different products:
kerosene, gasoline, crude oil and fuel  oil  contain "lower molecular weight
components" that evaporate quickly and  are more soluble.  Lubricating oils
contain heavier molecular weight components that are not readily evaporated.
Upon mixing with water and sediments, oil can be adsorbed directly onto  sediments
or fractionated with some components subsequently adhereing to sediments.
Sediments are then available for resuspension and transportation (Farrington
1975).Crude oil contains thousands of compounds (Brown 1975).  Some components
can be biodegraded by such organisms as bacteria of yeasts.  However, the
impacts on marine organisms resulting from such microbial degradation are as
yet unknown (Farrington 1975).

     The impact of oil contaminated sediments on submerged  aquatic vegetation
appears to be largely unknown.  Farrington (1975) suggested that marsh grasses
may be made unsuitable as a habitat.  This could apply also to submerged
grasses.  A further mode of impact to SAV could occur through the capacity of
oil and oil contaminated sediments to concentrate heavy metals and pesticides.
Brown (1975) cited Walker and Colwell (1974) and Seba and Corcoran (1969)
as having found an association between  increased oil polluted sediments  and
increased sediment concentrations of zinc, chromium, lead,  copper, nickel,
cadmium and mercury, aldrin, dieldrin,  DDT and possibly lindane, chlordane and
heptachlor expoxide.

     Free oil may also coat vegetation  and could impact SAV by physically
blocking nutrient assimilation and gas  exchange in above bottom plant parts.
Cowell  (1969) cited in Ecological Analysists, Inc. (1976)  maintained that
oil can be directly toxic and even lethal to salt marsh flora.  This may
also be true for submerged vegetation.   Ecological Analysts,   Inc. (1976)
suggested that negative impacts to annuals would probably be greater than
to perennials due to the capability of regrowth from rhizomes in perennial
species.

     Based on the lack of knowledge of the biological impact of petrochemicals
and petrochemical products in an estuarine environment and  the extent of oil
polluted sediments in the Chesapeake Bay, it is not possible to correlate
recent SAV declines with oil inputs.  Extensive laboratory  and field anlayses
would be required before such a correlation could be attempted.


SUMMARY

     The previous chapter provided evidence to support the  conclusion that
submerged aquatic vegetation in the Chesapeake Bay has declined over the past
40 years.   Based on this conclusion, various environmental  factors have been
investigated in order to ascertain possible causes for the  Bay grass losses.
Factors that can  negatively  impact the aquatic environment  are summarized on
two levels—localized impacts and Baywide impacts.
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    Localized impacts generally include turbidity, chlorine,  nutrient loading,
boat activity and dredging.  Turbidity, chlorine and nutrient loading, while
affecting more than one sub-estuary, have not been found applicable to the
entire Bay.  Based on data from the late 1960s through the 1970s, a few areas
in the Bay have shown increases in turbidity, yet most have decreased.  Chlorine
inputs into the Bay have risen along with increasing population in the Bay area.
There seems to be some evidence that excessive turbidities and chlorine plus
its by-products negatively impact SAV.   However, experimental work is needed
to determine the extent of the effects.  There is little evidence at this point
that chlorine has more than a localized impact, but research  is presently in
progress.

    Excessive nutrient loading often results in plankton and  algal blooms such
as have been noted in the Potomac River.  There is no evidence that such a
situation extends beyond parts of sub-estuaries.   The main stem of the Bay has
high flushing rates, large size and good vertical mixing which give it a re-
latively high resiliency to sewage loadings from metropolitan point sources.
Power boats can cause localized impacts to SAV beds through propeller damage.
Dredging, whether for clams or for increasing water depths, effectively removes
SAV from the dredge line.

    Impacts applicable on a Baywide scope generally include salinity, temper-
ature, HC03~j fauna, epiphytes, disease, agro-chemicals and large scale
weather events.  The bicarbonate ion as a carbon source may be a factor in
plant declines in the lower saline areas of the Bay, but probably is not re-
levant in the lower Bay where higher salinities are found.  In these higher
salinity areas, HC03~ is more readily available.  Unfortunately little is
presently known concerning the importance of the bicarbonate ion to SAV.

    Salinity has been implicated in the SAV problem.  Over the past six years,
salinities in the Bay have decreased subsequent to a salinity increase observed
during the 1960s.  Such a decrease as is presently being experienced might have
a slight impact on a species such as Zostera marina which thrives in high
salinities.  Most other species actually prefer fresh water and brackish
situations and can easily tolerate salinity decreases.

    Baywide impacts due to temperature are not supported by substantial evid-
ence.  There are no indications that ambient temperatures have risen suffic-
iently to impact Bay grasses except in thermal plumes and possibly in the
lower Bay.  There is also no evidence as to Baywide grass losses due to ex-
cessive faunal activity or epiphytic associations.

    Investigations into the disease theory for SAV declines have determined
that specific species are susceptitble to several pathogenic organisms.  How-
ever, during the years when Zostera marina was declining and Myriophyllum
spicatum was dying back, there was no indication that the involved "diseases"
were pathogenic to the many other SAV species native to the Chesapeake Bay.

    The impact of agro-chemicals on SAV is presently under scrutiny.  Herbi-
cide usage has increased heavily in the Bay area, yet an understanding of
the fate and mode of action of herbicides in an aquatic environment plus their
subsequent impact on SAV is not known.    Herbicides, both dissolved and


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adsorbed to sediment particles, have been determined to negatively  impact at
least one species of SAV in bioassay experiments.   But the nature and extent
of such impacts in field conditions are not as yet known.

    The force with which Hurricane Agnes, followed by Hurricane Eloise,  hit
the Bay area in 1972 has led some researchers  to support the natural  disaster
theory.  After past hurricances and droughts,  there have been reports of low
SAV populations, but recovery occurred in no more than one or two years.  After
Agnes, the low point in vegetation occurrence  was in 1975 and any major  re-
covery did not begin until 1976.  Although some may argue a possible  lag effect
from Agnes, this does not seem likely in view  of possible recovery  rates if the
submerged aquatic vegetation is otherwise healthy.  Most researchers  we  have
interviewed corroborate this view that SAV has changed dramatically,  and there
is probably some man-induced cause or causes.

    Two additional factors that may cause negative impacts on SAV are heavy
metals and petroleum products.  There is little data available at the present
time concerning the toxic effects of heavy metals or petroleum on SAV.  Also,
field sampling data is insufficient to determine whether or not toxic levels
are present in the Chesapeake Bay.

    The Pensacola Bay system in Florida has been experiencing seagrass losses
since 1949.  The areas where the grasses appeared to be the most heavily im-
pacted were areas that had been the most altered by man and seemed  to have the
most beach erosion.   Vegetation losses were attributed to the synergistic
effects of sewage and industrial waste effluents, dredging and filling,  beach-
front alterations and changing watershed characteristics.    It is possible that
similar synergisms are responsible for the Baywide submerged aquatic  declines.
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                                  CHAPTER 5

MODELS AS TOOLS FOR SYNTHESIS AND INTEGRATION:  SUBMERGED AQUATIC VEGETATION
                              IN CHESAPEAKE BAY
DEFINITION OF MODELS AND JUSTIFICATION OF THEIR USE

      A model is an analogy which serves as partial representation of a real
system (O'Neill   1975).  However, it is not meant to be a miniature,  one-to-
one mapping of the real world, but rather a simplified abstraction (Patten,  1971)
Scientists who deal with environmental systems may have elaborate mental
models to describe their understanding of the complex systems that they
research.  There is, however, a limit to the capacity of the human mind.
Moreover, if large-scale management decisions (such as those related  to SAV)
are to be based in part on scientific understanding of these complex  environ-
mental systems,  it is important that the various pieces of information on
those systems which are linked into each mental model, be pooled together and
subjected to critical examination.  As long as a model resides only in a
scientist's intuition, it is not available for critique and comparison with
other models.  Models can serve as important tools in understanding a large
body of scientific data by synthesizing information into a generalized
framework.  They provide a formal format for describing the structural and
functional properties of systems and for summarizing data gathered in the
study of such systems.  Modeling a complex system such as the Chesapeake
Bay in detail would in itself require a large scale effort, which is  beyond
the scope of this report.  However, we provide here some demonstrative pro-
cedures and preliminary efforts directed toward understanding the Bay eco-
systems and the inter-relationships of submerged aquatic vegetation.

GENERAL PURPOSES AND STRATEGIES FOR MODELING

      From a theoretical stance, the general purposes of developing scientific
(Levins  1966) models are to:l) explain how nature works; 2) predict  effects
of perturbations on natural system; and, 3) aid in management of natural
resources.  To meet these broad goals, models are designed for:  realism
(mechanistic consistency with scientific observations); generality (flexible
consistency with a large spectrum of natural conditions or systems);  and
precision (ability to closely reproduce or mimic the behavior of natural
systems).  No single model can meet all three criteria with equal strength,
so it is usually necessary to develop a group of models addressing the same
resource management problem or scientific hypothesis from different points
of view.  The specific strategies of modeling are outlined below.
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Obtaining a Systems View Within an Ecosystem

      Ecosystem components such as SAV are very seldom affected in
isolation of each other; a change in one usually affects others to varying
degrees, often in unexpected ways.  Because of these  non-linear and feedback
properties of environmental  systems it is important to obtain  a systems
overview when investigating the affect of alterations to the environment.
The use of model diagrams helps to maintain the emphasis on the overall and
important aspects of the system, as well as on important components.

Promoting Understanding of the System Being Studied

      The act of committing mental conceptions to paper forces the investigator
to examine all relationships within the system.  Difficulty in drawing the
diagram points out an imcomplete understanding of the system that may not
have been anticipated.   Thus, the diagraming process  is a tool  for promoting,
sharpening and clarifying relationships within a system.

Defining the System Affected

      From ignorance, important effects of an environmental alteration are
often not considered because they occur in some part  of the system with which
the investigator is not familiar.  By preparing a diagram, connections to  other
parts of a system may become evident that would have  been otherwise overlooked.

Organizing Knowledge

      Evaluating environmental impacts usually involves data from a variety
of sources.  Use of a model  can be a powerful tool for organizing this know-
ledge.  In this way synthesis, which should be the cornerstone of environmental
impact analysis, is facilitated because the system as a whole is more easily
comprehended.

Plan Research Programs

      Placing existing data onto a diagram during the early stages of an
environmental analysis can provide valuable help in planning an effective
field research program.  The diagram will show the overall kinds of measure-
ment that must be made and indicate data gaps, thereby helping to plan the
most effective sampling program.  Simulation of the model, which represents
the initial understanding of how the system works, allows the investigators
to test this understanding.   If model output does not match the data being
gathered, then it is likely that our understanding of the system is still
incomplete.  Research may then be redirected as needed.  Location of sensitive
parameters within the model  help to concentrate the research effort on critical
pathways.
                                      256
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Vehicle for Discussion

      A diagram provides a common ground for discussion among all  parties
that is independent of specialized language because the model is an explicit
expression of the system structure believed to exist.

Predict Impacts

      A simulation model allows the testing of predicted effects.   If behavior
of the model validates fairly well against presently observed conditions in
the environment, then some confidence can be placed in its ability to predict
future conditions.  By adjusting input parameters and coefficients to conditions
expected after implementation of the proposed environmental  alteration, the
behavior of the model provides a test of expected impacts that can be validated
against mental predictions and data from other sources.  In certain circum-
stances a simulation model may be the only way to predict impacts.  In a
large complex system it is often difficult even to hypothesize how an
alteration to one component will affect the rest of the system.  A simulation
model may be the only way to assess the overall adjustments in the system.

MODEL CONCEPTUALIZATION

      The process of objectifying mental images of a system into a diagrammatic
or mathematical form is called model conceptualization.  The structure  and
viewpoint engendered in the model should reflect the questions or specific
objectives being addressed.  The first step in this conceptualization process
involves defining the scale or scope of the system to be modeled.   Spatial  and
temporal boundaries must be drawn so as to define the system of study.  We
may, for instance, choose to define the boundaries of the Chesapeake Bay as
its watershed up to the Pennsylvania border and down to the Bay Bridge-
Tunnel.  Or we may divide the Bay into subsectional regions (to be studied
separately) according to long term mean salinity regimes, with a longitudinal
slice between eastern and western shores.  A general rule-of-thumb to
follow in establishing boundaries is to select the largest scale of modeling
at least one step broader than the level of the scientific or resource
management question being addressed.

      Once the extent of the system has been defined, we must define all the
major inputs and outputs to and from that system across its boundaries.  These
trans-boundary flows should include exchanges of materials, energy, money and
information.  The system model is then further defined by identifying the
important system components.  These components should characterize the
state of the system and involve some sort of storage of the things that
flow through the system (material, energy, money or information).   These
components are, thus, often referred to as state  variables.
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      A matrix of "connectedness"  or "connectivity",  with  the  model  state
variables as headings for both rows and columns,  can  next  be developed to
determine the degree to which the  model  components  are explicitly  intercon-
nected.  In general  we find that,  although we know  that the system components
are somehow interconnected, the degree of connectivity in  this matrix is
significantly less than 100% (Levins  1973).   In  fact, indirect connections
are maintained between components  by means of clustering into  subsystems
and hierarchies (Overton  1975).   In modeling such  complex systems this
clustering characteristic can be implemented  into model design so  as to
reduce the number of variables considered in  the  model.  Thus, rather than
modeling the behavior of all individual  organisms in  the Chesapeake Bay
system, we can recognize some natural aggregations  (i.e.,  populations,
habitats, communities, etc.) and thus reduce  our  model's complexity.
The exact level and angle of our conceptual slicing should be  determined,
again, according to the questions  being addressed.

      Hierarchies, with systems of subsystems of  subsystems, etc., may exist
in nature as mechanisms for decreasing complexity,  and increasing  control
and stability (Weiss  1969; Simon   1973; Levins  1973).  Similarly, we can
design groups of models for these  complex systems,  each dealing with a
different subsystem.  This allows  us tactically to  view the vast complexity
in an  incremental fashion without losing the holistic perspective of the
overall system.  It must be remembered, however,  that each time we aggregate
a complex submodel into a single component of a given model of study, we
lose resolution on the model's ability to mimic detailed dynamics  of nature.
As we aggregate mechanistic detail of interaction,  model behavior  becomes
increasingly linear.  System components should be aggregated together only
if they have similar functional characteristics.   Different biological
populations, for instance, should  be clustered together into a single model
state variable only if they have similar characteristics of feeding, breeding
and metabolic turnover-time.

      Formal models are described  with sets of mathematical equations.
Statistical models can be used to  represent empirically observed relationships
between variables.  However, statistical models can imply no  cause-effect
relationships between variables, whereas most scientific theory and certainly
all resource management policies depend on causal inference.   Sets of
differential equations are used to indicate causal  relationships and simulate
behavior of natural  systems.  Hence, these are termed simulation models.
Time-series phenomena can be addressed with these models, letting  time be
an independent variable in differential equations (that is,  dynamics of system
variables are described over time).  Spatial  patterns may also be  modeled
in detail using partial (or pseudo-partial) differential equations with each
dimension  in space also being an  independent variable.  Each  equation
describes the rate-of-change for a given variable over time  (or space),
and each term in the equation represents an interaction with  another
variable or with factors external  to the model.  Each term is  a functional
relationship between variables, the form of which is determined from
results  of scientific experiments.
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 image: 








SOME PRELIMINARY MODELS OF SUBMERGED AQUATIC VEGETATION IN THE CHESAPEAKE  BAY

      One hypothesis in this report is that the general decline in submerged
aquatic vegetation of the Chesapeake Bay, is the result of some change (be
it man-induced or natural) in the Bay's water quality.   A secondary hypo-
thesis might propose that certain human activities in the Bay's watershed
had lead to these changes in water quality which were,  in turn, responsible
for the demise of SAV.   If we were to suggest further that SAV communities
provided important habitat, refuge and nutrition sources for important
economic  fisheries in  the Bay, then we begin to see a clear conflict in
natural resource use and a need for a rational  management scheme.   The
conflict is, of course, between options of unmanaged use of the Bay for waste
disposal versus use of  the Bay as a source of productive fisheries.  Couched
within the framework of this management issue,  we see a complex of inter-
actions between human activities in the watershed region and the ultimate
decline in economically important Bay populations.

      To deal  with this complex regional system in the detail  needed for
conflict resolution, we must develop our models of this system in  a simplified,
but realistic  fashion.   This is best done by building a hierarchical suite of
models at several stages.

      1) The largest scale model would include  the entire watershed region
         consisting of  natural  and human systems, with both material and
         monetary exchanges between system components,  focussing on the
         interactions  between man and nature.

      2) The next smaller scale might include the entire Chesapeake Bay as a
         large ecosystem with connections to the peripheral lands  and between
         the various geographic sub-Bay systems (such as: brackish upper Bay;
         mid-salinity Bay; Chester and Choptank Rivers; Patuxent Rivers;
         Patuxent River; upper and lower Potomac River; Nanticoke  River and
         Tangier Sound; upper and lower York and Rappahannock Rivers;
         mainstem saline Bay; and the upper and lower James River).

      3) One of these geographic sub-Bay ecosystems could be considered as
         the next smaller scale—for example, the Patuxent River estuary.   At
         this  scale we  would include in our model all the major ecosystem
         components aggregated by habitat and/or community type.

      4) Further elaboration might include details on structure and function
         of one of these communities—for instance, to model the epifaunal
         or infaunal communities  associated with SAV.   Here we might
         consider predator-prey, competitive, commensal and symbiotic
         interactions between various animal populations in the community.

      5) A fifth level  of modeling detail might consider  the population
         dynamics of one of the species potentially affected by SAV decline,
         such  as blue crabs or striped bass.  Such a model would include the
         important life stages or instars of the population (e.g., striped
         bass  eggs, yolk sac larvae, finfold, post-finfold, young-of-year
         juveniles, large juveniles, mature adults) and such functional
         properties as  consumption, respiration, production, mortality fecundity
         and recruitment.

                                      259
 image: 








      6) Although, there may be interest  in  many,  successively  smaller  scales,
         the obvious basic ecological  scale would involve  models  of  whole-
         organism physiology.   A pertinent  model  at  this level would
         investigate the inhibitory characteristics  of  herbicides and
         silts on SAV,  with plant organs or tissues  being  the  basic
         components of  this model.

      A generalized diagrammatic model of the  Chesapeake Bay watershed region
is presented in Figure  46 .Here some of the  main  features of this  region are
depicted along with important  relationships between  human  systems and  Bay
ecosystems.   The regional  economy is supported,  in part, by local agricul-
ture and fisheries, as  well as manufacturing and  selling commercial  products
in exchange for materials, services and  fuels  needed for economic operation.
The natural  processes of the Bay generate exploitable fisheries  to help
support the economy.  In addition,  the Bay  provides  other  services to  the
economy such as transporting and assimilating  wastes, providing  recreational
opportunities, and others—all of which  contribute to the  general image of  the
region associated with  its ability to attract  external  economic  investments.
In this model  we can see that  any activities in  the  human  systems which lead
to runoff and discharge of wastes to the Bay can  contribute  (via  food-chain
and habitat modifications) to  changes in the vitality of fisheries which
help support that human economy.  Implementation  of  various management
policies could reduce any detrimental  effects  on  one part  of  the  economy
(fisheries,  as mediated through the Bay  ecosystems)  caused by  activities at
another part of the economy (farming, industries, etc.). Hence,  to
optimize the vitality of the regional  economy  we  must understand  the
dynamic properties of the Chesapeake Bay ecosystems.

      In a model of a sub-Bay  ecosystem  (such  as  the lower Patuxent River es-
tuary) (Figure 47) we see that the ecosystem is  split into two vertically
differentiated halves (upper pelagic and lower benthic).   This division is
justified, in part, by  vertical stratification which occurs  during the
summer.  Riverflow and  other runoff, as  well as  tidal currents,  transports
various materials and energies (including phosphate, nitrate,  ammonia, dissolved
and particuldte organics, inorganic silt and salt, heat, herbicides, dissolved
oxygen and carbon dioxide, phytoplankton and zooplankton)  into and out from
the system's water column.  Those same water quality variables are stored
temporarily in the ecosystems, during which time  they interact with each other
and with the rest of the system.  Phytoplankton  in the estuary consist of
several important algal families and groups including diatoms, dinoflagellates,
microflagellates, greens and bluegreens.  They take  up nutrients  and absorb
sunlight to generate photosynthate and oxygen.  The  kinetic  and turbulent
energies arising from river, wind and tidal forces produce vertical  motions
of advection and diffusion to transport  water quality variables between upper
and lower parts of the water column.  The lower column water  quality includes
that which is contained in the sediment  interstices.
                                     260
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261
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Figure 47.   Model  of a sub-estuary ecosystem of the Chesapeake Bay, major
components  and interactions
                                    262
 image: 








     Benthic macrophytes (SAV) also take up nutrients and absorb sunlight for
photosynthesis.  However, in competition with phytoplankton SAV have the distinct
disadvantage of growing from the bottom up (and thus having less access to
light than phytoplankton which can be suspended near the water surface), but
SAV have the potential advantage of having been able to take nutrients from
the sediment waters, as well as from the water column.  (McRoy and Barsdate 1970;
McRoy et al. 1972; Best and Nantai  1977).   Epifaunal animals living on the
macrophyte structure, feed on epiphytes and detritus on the SAV leaves, keeping
them clean and partly free of materials which block light from the leaves
(Nagle  1968).  Both SAV and phytoplankton death contribute to the organic
deposits in the sediments.  At high concentrations, various herbicides in the
water column and sediments may inhibit photosynthesis of phytoplankton and SAV.
However, phytoplankton have the potential advantage of being continuously
seeded from external sources and having fast growth rates, so that if herbicides
enter the system in pulses (Wu  1977) then phytoplankton can rejuvenate after
a general mortality more quickly than SAV.

     Zooplankton are similarly being continuously seeded from external sources.
They filter phytoplankton and detritus from the water column and excrete
nutrients which can then be recycled.  Zooplankton consist of several different
types distinguished by size, taxa, trophic habits or life cycle; and include
both meroplankton and holoplankton, copepods and large neomysis, and carnivorous
ctenophores and chaetognaths.  Benthic invertegrates feed on detritus and
phytoplankton filtered from the water column and on detritus deposited in the
sediments.  Their excretion and physical disruptive activities also keep
nutrients cycling back to water column storages.  These benthic infauna
include filter-feeding types such as oysters, clams, barnacles, hydroids,
and other polyps; deposit-feeders such as snails and worms; some herbivorous
urchins and snails; and a few carnivorous crabs, drills and polychaetes.
Nekton are grouped in this model according to main habitat type.  The pelagic
nekton include mostly planktivorous fish and their predators (bluefish).
Demersal nekton include the forage fish which feed on benthic infauna and
epifauna, as well as detrital matter, and their predators (striped bass).  Both
groups of fish migrate in and out of the ecosystem according to some seasonal
cues (temperature, photoperiod, and etc.).

     In  Figure 48 the detailed mechanistic relationships between model components
are explicitly shown.  In this version of the sub-estuary model the level of
aggregation is defined according to those variables considered most important
to the overall ecosystem dynamics and to the basic issues addressed:  1)  why
have SAV declined, and  2)  what is the effect of this decline on the dynamics
of economically important populations?  Some of the important features of this
model not previously discussed in the more general version (Figure 47) are
discussed below.

     Temperature is an important interactive, external variable, involved in five
metabolic functions in the system, and controlling five logic switches.  Almost
all of the heterotrophic components of the model are shown to have respiration
and/or mortality as a function of density (i.e., state-variable interacting
with itself in an outflow through a boxed-arrow).  A large die-off of SAV
through a switching function is designed to occur at the end of the growing
season when temperatures go below a threshold.  The deposited detritus is shown
                                      263
 image: 








Figure 48.   Model  of a sub-estuary ecosystem of the Chesapeake Bay, mech-
anistic details appropriate for mathematical translation and eventual
computer simulation
                                   264
 image: 








in two parts, separated by particle size, because of differences in time-con-
stants and because the smaller pieces are known to be more nutritious (with
more microbes per particle mass) (Odum  1970).   A detail  to the demersal  nekton
population structure is indicated with two separate life-stages considered.
This was done because the juveniles of species  such as white perch and striped
bass are reported to depend on SAV for habitat  (i.e. a refuge from predation)
and for food, epifauna (e.g., Hollis  1952; Adams  1976a,b).  SAV may thus affect
recruitment success and overall population vitality.

     A highly simplified model of a Chesapeake  Bay sub-estuary is shown in
Figure 49. This model was designed and simulated by W. Boynton and F.  Lipschultz
to investigate productivity and nutrient dynamics of the Bay, and we  include it
in this report merely as an example of some kinds of output that can  be ex-
pected from ecosystem models such as that shown in Figure 47. The model was
developed to examine the major influences on nutrient recycling in the upper
Chesapeake bay.  The model was found useful in  providing insight into effects
of summer stratification and fall turnover on ecosystem dynamics in the euphotoic
zone.   The effects of Susquehanna River flow on nutrient levels was also in-
vestigated with this model.
MATHEMATICAL EQUATIONS FOR MODEL SIMULATION

     The time-varying behavior of an ecosystem model  can be studied by transform-
ing the initial conceptualization into mathematical  terms.   Each model state-
variable has a differential equation to describe its  dynamic character.  Each
input and output pathway to aid from the state-variable represents a single term
in the equation for that variable, and each pathway represents some process
which affects the variable.  The terms in each equation may be linear (con-
taining only one variable) or nonlinear (being a function of several  variable
and/or a power, exponential, logarithmic, etc. function of one variable).
The differential equations are written with the change in quantity of each
variable per unit change in time (or space) equal to  the sum of all input and
output terms.  Since each term is a function of model variables themselves,
which are changing with time, the entire model system exhibits a dynamic be-
havior.

    Notice in Figure 48 that the model contains 15 state-variables, and thus
needs 15 differential equations to be described.  Similarly, in Figure 5jD we see
that there are five variables which need five equations for mathematical
description.  The equations used for these models are given in Tables 84, 85 and
86,respectively, with a general word description for  each term.  Terms in
each equation which are controlled (on and off) by some external logic function
(such as temperature and photoperiod thresholds to start fish migration) are
indicated with a bracket above them.  A dot above the symbol for a state-
variable indicates the instantaneous-rate-of change for that variable, or in
differential notation, dQ/dt.  Pathway coefficients,  indicated as k-j,j, re-
present the inherent characteristics in a pathway which are invariant within
the time-and space-frame of the model.  The "i" represents the donor or source
of the flow (e.g. state-variable,(Q^) and the "j" represents the recipient of
the flow (Qj).  In general, subscripting provides a description of variables
and pathways, while superscripting indicates power functions.


                                     265
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Table 84 .  Differential  equations for model  shown in Figure 48.
1)  Nitrogen in Water Column:
    Q  =  J  - k   QF-k    (J   )
           1    1,0 1      1,5   5,5
       import   export  phytoplanktonic uptake
       -  k   (0   )       + k    Q
           1,7  7,7'          15,1 15
       macrophytic uptake  nitrogen fixation
       +  k(J    +0      +J    +J      )
           1   6,6    15,15     3,3      12,12
               excretion and recycling
       +  k   (Q  - Q  ) Q   D
           1,88     1    12
          sediment/water exchange
2)  Herbicide in Water Column:
    Q   =  J    -kQF-k    (J)
     2       2       2,02          2,5    5,5
         import     export     phytoplanktonic uptake
        - k    D (Q  - Q  )       - k    Q
           2,9      9     2             2,22
        sediment/water exchange     decay
        - k    (J    )
           27    77
            >     >
        macrophytic uptake

3)  Seston in Water Column:
    Q   =  J      -kQF      -J
      3       3        303            36
         import      export    zooplantkon grazing
        - k    Q  Q      - k    Q  Q  eai2T - k    Q
           3,4 X3  4        3,12X3 ^12         3loX
nektonic uptake   benthic uptake    sedimentation
                                         3  3  Q3
                                          '
        + k    (Q  + Q  )   + k   Q           - k3  3  Q3  ea3T
           10,310   11       5,35
        resuspension      phytoplankton death   respiration
                                     268
 image: 








4)  Pelagic Nekton;
    Q   =  |J    -  J    I       +  k   Q   Q
     4      0,4     4 5 0           35't,3   "*

         seasonal migration       feeding on  seston


       + kQQ             +kQQ
          6,464              5,454

       feeding on zoopl.       feeding on nekton


       - k   (Q )2             +  J
          4,44                  14 ,4

       respiration          feeding  on juveniles
5)  Phytoplankton:
    o

    Q   =  J        -kQF          -  k     Q
     5      5          5,05              5,35

         import       export               death


        - J                   + J
           5, 6                   5, 5

   zooplankton grazing     primary productivity


       - k    Q easT          - k    Q   Q
          5 ,16 5                 5,454

       respiration            nektonic grazing


       - k    Q   Q  eai2T
          5,12 5  X12

       benthic grazing
6)  Zooplankton:
    o

    Qfi=Jc         -k    QF        -kQQ
    y6      6            6 ,0 ^6             6 54  4  b

         import         export         nektonic predation


        + k    (J    +  J    )            -  k    (Q  Y
           6 »6   3 s<>     5 ,6                6 ,6   6

        grazing on phytopl.  and seston      respiration
                                      269
 image: 








7)   Benthic Macrophytes (SAV):



     Q   =     J
     V7         7,7


          primary productivity
          winter die off
                                       - k    Q  e
                                          7,16 7
                  ,a7T




        respiration
                                                   15
                                       herbivory
          continual death
 8)  Nitrogen in Sediments:



     4,  '  k1>8 (Q. - Q, )  Q12 D



           sediment/water exchange



         + k    (0  \ pai°T
         T "MI,eVvii/ e



     tnacro-detritus respiration





 9)  Herbicide in Sediments:
     |o

     Q<
         =  k    D  (Q   - Q  )
             2,9      9     2


       sediment/water exchange
                                       micro-detri. respir.



                                      - k    (J   )
                                         8,7   7,7'


                                      macrophytic uptake
       - k    Q
          9 ,9  9


         decay
10)  Ifticro-Detritus in Sediments:



          =  k       (J     )
      10      12,10    11,12


          break-down of macro-detritus by benthics
          10, 12



       benthic grazing
                              - k
                                              aioT
                                 10,10
         10


respiration
        break-down of macro-detritus by nekton
                                      270
 image: 








1 1 )   Macro-Detritus in Sediments:

      Q     = 7k     qT
       11
                7,11
              winter macrophytic die-off


            + k       Q
               17,11   7

              continual macrophytic death
            - k
               11,11

              respiration
                Q    ec
                 11
                                      - J
                                         11,12

                                       benthic grazing


                                      - k        Q     Q
                                         11,13    11    13

                                        nekton grazing
12)   Benthic invertebrates:
Q    =  (J
X 12       3,12
                              12
         suspension-feeding
           - k
               Q    Q
                12   13

       nektonic predation
              12,13
                                                iO,12       11,1


                                               deposit - feeding
- k
(Q   )
   12,12    12

  respiration
13)   Demersal Nekton. Adults:
           = id
               0 3
                         3,0

            seasonal migration
           + k      Q    Q
              11,13  11   13

            feeding on detritus
                                      + k       Q     Q
                                         12,13   12    13

                                        feeding on benthics
                                      + k        Q  '
                                         14 ,1 3    l«t

                                        recruitment
           -'k
              13,1"*   13

             spawning
- k
   1 3 91 3

  respiration
                                                (Q   )
                                                  1 3
14)   Demersal  Nekton, Juveniles:


      Q   =  k      Q    Q
       i1*      is, m   m    is
          feeding on epifauna
                                      - J
                                        predation by nekton
    - k^^  (Q^)2

      respiration
                                                                -'k
                                               1 3, If

                                              spawning
                                                      13
                       14,13   Ik

                      recruitment
                                     271
 image: 








15)   Epifauna! Coirynunity:
      o

            grazing epiphytes                ^°e4atfen by nekton

           - k,s.s  («,.  >2 '°"5T
                                      272
 image: 








Table  85,   Special functions used in equations given in Tab'tc  &4.
1 )   Primary Productivity, Phytoplankton;
                   (ea*,5  )  ( I  + aQJ (1 + b5L) (1 - C5es  12)

                  temperature  nitrogen    sunlight  herbicide inhibition
2)   Primary Productivity. Macrophytes:
                          , (Qi +  0.8 ')
              j                            )  ( 1 + b7L) Q7  (1  + d7 Q15)

            temperature         nitrogen         sunlight    epifaunal  cleaning
     herbicide inhibition


3)   Shading of Sunlight:

     L  =  L  (K - ea<>(Q3+ QS))
4 )   Zooplankton Grazing on Seston:
5)   Zooplankton Grazing on Phytoplankton:


     Js,e =  ks,6(ea3T )  Qe   QS

6)   Benthic Invertebrates Feeding, on Phytoplankton
                                    population
                                    management

7)   Benthic Invertebrates Feeding,  on others:
        12
            where i  is food item:
               Macro-Detritus,  i  = 11
               Micro- Detritus,  i  = 10
               Seston, i  = 3
                                      273
 image: 








Table  86.   Differential equations for model shown in Figure  49
1)   Phytoplankton;
4)
           producitivity         death        predation
          klj6 Qt       -  0.24 Qx     +  0.0006
         export          respiration     import
2)   Consumers:
                       .75T
        feeding on phytopl.
     - 0.25 Q2
     export and death
3)   Detritus:
                                  feeding on detritus
                                + 0.0009
                                  import
o
Q3 -J
river


- k
3,7

0,3
input


Q
3

+ 0.125 Qj + k
phytopl .
death

- k Q
3,6 3

•3(kl,2Ql + K3,A } Q
consumer excretion


- k Q Q e'
3,2 2 3

e
2


75T


                                                           . 75T
 sedimentation

Phosphate:
o
Qiit = Jfl ^
  river input
       detritus
       regeneration
                          export
                      + J            H
                      sediment
                      regeneration
                      - k   Q Q Q L
                         *»,! 1 "t 5
                        phytoplankton
                           uptake
                                          consumer grazing
                                             (.125)0
                                                    i
                                        phytopl. excretion
                                     - k  A
                                        4,6 K
                                       export
                                      274
 image: 








5)   Nitrogen:



     Q=J            +kQ         +  k    (.125Q  )
      5     0,5            3,53            1,5       1

         river             detritus          phytopl. excretion

         input           regeneration


       4- k   (k   Q  Q e<75r   +  k    Q  Q e'1®
          2,52,112           2,323

         consumer excretion of ammonia


       + J          -kQ          -kQQQL
          8,5           5,6 5            5,1  1  i*  5

        sediment      export           phytopl. uptake

       regeneration
                                     275
 image: 








CALIBRATION OF MODEL

     To make the model  operational, pathway coefficients involved  in each term
of each equation must be numerically evaluated or calibrated.   Each equation
term represents a flow of material, energy, or information which is stated as
a function of one or more model  state-variables and one (occasionally more)
coefficient that characterizes inherent properties of the pathway.   The model is
calibrated by estimating the values of these coefficients.  If data are available
for a small time segment to establish the actual  flow, as indicated by a given
equation term, and the mean levels of each state-variable involved  in that
term, then the coefficient for the term can be algebraically calculated.
Numerical values must also be assigned for the model's external  forcing functions.
Here, such factors as sunlight and temperature, which are external  to the
boundaries defined for the model in Figure 49are described either by discontinuous
time-series of input data or by some continuous function fit to that data.
With model coefficients and forcing functions numerically defined,  and with
initial values (starting points)  assigned to each state-variable,  the model is
ready to be programmed and simulated on a computer.

     If we were to try to calibrate and simulate the model given in Figure 48
and Tables 84 and 85 for a particular sub-basin of the Bay, we would first
seek all available information describing the structural and functional parts
of that sub-Bay contained in the model.  For the Patuxent estuarine ecosystem
considerable amount of such data is available, and is summarized in Table 87.
Comparing the variables listed in this table against the variables  given in
the model equations of Table  84  (where each Q is a state-variable and each
equation term is a flow variable), we find that the available data  fills about
15 percent of the data needed to calibrate this model.  This disparity between
needs and availability helps to demonstrate major lacunae in the general state
of our knowledge about this system.  In Table 88 several additional pieces
of data pertinent to the model are provided mostly from other similar ecosystems.
The number of data values needed to completely calibrate this model can be
reduced by the number of equations (15 in this case) by carefully selecting
the time for calibration from the time-series of data, and by making a simple
assumption of steady-state.  If we calibrate the model from mid-winter data,
for instance, we can assume that most ecological  state-variables are at or near
a minimum value.  Thus, their rate-of-change is close to zero.  By assuming
that these rates-of-change are equal to zero, we can estimate one term in the
equation if we know all the others.  An example will illustrate the process of
calculating coefficients.  In equation 6 of Table 84 we find that zooplankton
respiration is represented by k6,6(Q6)2.  In August zooplankton biomass was
.025gC/m2 and respiration was .005 gC/m2d, and we thus calculate the respiration
coefficient k6>6= (.005)/(.025)2= 8.Q.   (Table 79).


SIMULATION OF MODEL

     Once the model is fully calibrated  it can be numerically simulated on an
analog or digital computer.  Initial simulation runs involve fine-tuning adjust-
ments of coefficients to match model behavior with field data.  In some cases,
where no amount of coefficient adjustment can improve the fit of model to data,
                                      276
 image: 








Table 87.   Some  data from related ecosystems useful in  calibrating  a model  of
Patuxent estuarine ecosystem
            Variable
   Mean
   Value
   Ecosystem
    Reference
   Rate of Sediment Deposition
   Carbon Content of Sediment
   Carbon/Nitrogen of Sediment
   Epifaunal Biomass
   Epifaunal Assimilation
   Epifaunal Respiration
   Benthic Invertebrate Biomass
   Benthic Assimilation
   Benthic Respiration
   Sediment Detrital Respir.
   Demersal Fish Biomass
   Demersal Fish Respiration
   Demersal Fish Consumption
   Macrophyte Biomass
  14 mm/yr
1.8%
  14
 .47gC/m2
 .018gC/m2/d
 .014gC/m2/d
3.31gC/m2
 .06gC/m2/d
 .05gC/m2/d
 .62gC/m2/d
 .78gC/m2
 .02gC/m2/d
 .03gC/m2/d
  230gC/m2
   53gC/m2
Coastal  Eel grass
Coastal  Eel grass
Patuxent Estuary
Coastal  Eel grass
Coastal  Eelgrass
Coastal  Eelgrass
Coastal  Eelgrass
Coastal  Eelgrass
Coastal  Eelgrass
Georgia  Estuary
Coastal  Eelgrass
Coastal  Eelgrass
Coastal  Eelgrass
Eelgrass
Eelgrass
Thayer et al, (1975)
Thayer et al. (1975)
Flemer et al. (1970)
Thayer et al. (1975)
Thayer et al. (1975)
Thayer et al. (1975)
Thayer et al. (1975)
Thayer et al. (1975)
Thayer et al.(1975)
Smith (1971)
Adams (1976a,b)
Adams (1976a,b)
Adams (1976a,b)
McRoy (1970a)
Penhale (1977)
                                            277
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the equations themselves must be modified according to alternative mechanisms
of interaction which correspond to documented facts or reasonable hypotheses.
After the model is adjusted to match the data from which it was calibrated,
its behavior should be "varified" or validated" by comparison with an independent
data set.  Any modifications needed to meet criteria of "reasonable validation"
must involve changes in model equations rather than coefficients, so that
model characteristics can be made to match both data sets.   During the process
of model verification, confidence is built in the general  ability of the model
to have realistically.  Eventually, then, the model would  be used to investigate
system responses to modified external forcing functions.  Thus, we might want
to forecast the response of our Chesapeake Bay ecosystem model to increased
turbidity, nutrients, and/or herbicides.  We might remove  SAV from the model
and observe how the ecosystem (particularly fisheries) reacts.  Predictive
simulations allow the modeler to investigate ecosystem responses to a spectrum
of different conditions, and compare these responses to field observations to
test causative factors for ecosystem modifications.

     The simplified ecosystem model of the upper Chesapeake Bay described in  Fig-
ure 49   and Table 86 was simulated in some preliminary computer runs.  Data  for
phytoplankton biomass, detritus, light and temperature were taken (Table 88)
from Flemer (1970), while data for the consumer state-variable (comprised
primarily of zooplankton) was taken from Heinle (1974) and nutrient concentra-
tions and dynamics were based on the work of Whaley et al  (1966).  In Figure  50
we see that levels of nitrogen and phosphorus increase during the late fall
and winter as a result of microbial mineralizariom and lack of autotrophic
uptake.  Decomposition of detritus which is carried by the river, further
increased nitrogen and phosphorus concentrations.  These increases, along with
higher levels of insolation, permitted phytoplankton biomass to reach a peak
in April and May.  Consumers show less seasonality probably due to their ability
to switch their feeding between detritus and phytoplankton according to which
is more abundant.  Consumer standing stocks reach an annual maximum in July,
lagging about three months behind peak phytoplankton and zooplankton during
winter as a result of decreased sunlight and temperature,  respectively.

     This model is presented here merely to demonstrate some methodologies
involved in the simulation process.  More detailed models  (such as shown in
Figure 48 at several levels of focus are needed for addressing questions of
SAV interactions in the Chesapeake Bay.
                                     279
 image: 








                                   CHAPTER 6

                          POSSIBLE MANAGEMENT OPTIONS


     Until further experimental  and field research is completed, it is difficult
to determine what factor or combination of factors are actually responsible for
the submerged aquatic declines in the Chesapeake Bay.  Therefore, any suggestions
of best management practices must be considered tentative at this time.

     If the point source discharges from sewage and water treatment plants are
determined to constitute a major problem, tertiary treatment of wastewater may
help to some extent in relieving the high nutrient burden on SAV communities.
However, chlorination problems would still be present.  Chlorination alternatives
that could be implemented immediately before discharging wastewater into the es-
tuary should be investigated.

     One possibility is to pass the effluent from existing sewage treatment plants
under ultra-violet radiation sources to kill remaining pathogens before it is  dis-
charged.  This might greatly reduce the need for chlorination.   Another possibil-
ity is to use land treatment as a final biological filter to eliminate pathogens
from the water before it reaches the Chesapeake Bay.  Studies now under way at
St. Charles City, Maryland show that forested land can act as an effective buffer
in regard to bacteria.  More extensive studies pioneered at Pennsylvania State
University have found similar results.

     Such land disposal methods are limited primarily to low density areas where
land is both available and not prohibitive in cost.  Around major cities such  as
Washington, D. C. and Baltimore it may not be possible to have both submerged
aquatic vegetation and high chlorination and nutrient levels due to the necessity
of large sewage and water treatment plants.

     Further management options deal with high turbidities due to sedimentation.
There is evidence that turbidity levels are lower in the 1970s  (see Chapter 4).
This may be due to ever increased effectiveness at controlling soil erosion around
the perimeters of the Chesapeake Bay estuary.  The use of no-till agriculture  may
be a prime reason for the decreased turbidity that seems to be apparent in many
of the Bay's subestuaries during the 1970s.  More work should be done to evaluate
the effects of true no-till agriculture in regard to erosion control.  By contrast
to erosion from runoff, wind erosion in the drier years of 1976 and 1977 seems to
be more prevalent.  Encouraging farmers to plant wind breaks along fields would
help alleviate this situation.
                                       280
 image: 








     Another problem which many areas of the Bay are experiencing is shoreline
erosion.  The costs of arresting this natural process are so staggering that such
measures may be prohibitive on a large scale.  Also since the Chesapeake Bay has
been experiencing shoreline erosion and subsequent sedimentation since its form-
ation in Pleistocene, these processes cannot alone account for SAV losses.

     More important than natural erosion processes are large construction projects
and stream channelization efforts which are often responsible for dumping tremen-
dous loads of sediments into the Bay estuary.  A Bay area example of such a
project is the "stream improvement" dredging being conducted by the U.S. Depart-
ment of Agriculture Soil Conservation Service in the Delaware portion of the
Choptank River.  While appearing to be cost effective in Delaware because of an
increase in usable agricultural acreages, the downstream effects may prove to be
devastating not only to SAV but also to important commercial faunal species.

     The possibility exists that significant leakage of new agro-chemicals into
streams and tributaries may be the cause of Baywide declines in SAV.  If  par-
ticular herbicides utilized in the Bay area prove  to be a major problem, it may
be possible to substitute other available chemical compounds which are less harm-
ful to SAV.  Before any substitutions are made, careful  screening of the existing
compounds needs to be implemented at several levels.  Submerged aquatics (includ-
ing their symbionts) should be bioassayed and Bay ecosystem responses need to be
determined before specific suggestions can be made.

     Another management option might be to encourage area farmers to construct
ditches that lead to small ponds where complete biodegradation of chemicals would
occur before draining into the estuary.  These small ponds would also act as sed-
iment traps.  No changes in "minimum or no till" agriculture are suggested until
a thorough understanding of their benefits and environmental costs are tabulated,
using economic and ecological  modeling approaches.

     Another possibility is to reestablish SAV populations using planting tech-
niques.  These techniques are currently being tested by the Maryland Department
of Natural  Resources (Stotts, pers. com.).  Thus far there seems to be consider-
able difficulty in establishing large beds.  This may help support one of the
key conclusions in this study:  that the decline in submerged aquatics is related
to some overall change in water quality of the Bay, rather than to some intrinsic
cyclic population phenomenon of the Bay ecosystem.  Until we understand the dyna-
mics of the SAV decline and its implications on the Chesapeake Ecosystem, it may
not pay to attempt large scale replanting.

     A more reasonable approach might be to incorporate existing productive beds
of submerged aquatics into an estuarine sanctuary.  These could then be protected
from clam dredges and small boat propellers which have been suggested as negative-
ly impacting the submerged aquatic populations.  This would also provide areas
where researchers could set up long term experiments which need to be done to
answer our management questions.

     One final management option which should be considered is the control of
grazing waterfowl in selected sanctuary areas.  This might be especially helpful
in the case of mute swans which have the potential of consuming large amounts of
submerged macrophytes.   There is little evidence that the mute swans have been
                                       281
 image: 








important in the past SAV decline.    However, if the population continues to
increase at its present rate of growth it could devastate remaining healthy
populations.  Thus, the Maryland Department of Natural  Resources ought to
consider opening a mute swan hunting season in the future in areas where SAV
beds are being overgrazed.   Since  this species does not appear to be a problem
in Virginia, no action needs to be  considered there at this time.

      In conclusion, however, because of the complexity of issues involved in
the submerged aquatic decline in the Bay, implementation of any of the above
management options is premature.  Before any decisions can be made, regional
analysis and modelling techniques (described in Chapter 5) need to be applied
to the problem.  Using these tools  it should be possible to determine which
management alternatives provide optimal utlization of natural resources in the
Bay as well as insure the high productivity of the agricultural and industrial
activities in the surrounding Chesapeake watershed.
                                       282
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                             CHAPTER 7


 ANNOTATED BIBLIOGRAPHY OF PUBLISHED MATERIAL RELATED TO SUBMERGED

             AQUATIC VEGETATION IN THE CHESAPEAKE BAY


Anderson, R.R. 1966.  Plant ecology of the upper Patuxent River estuary with
     special reference to the effects of thermal pollution on macrophytes.
     Ph.D. thesis ,  Univ.  Maryland.  99pp.

     The effects of temperature changes due to effluent from the Potomac Electric
     Power Company's Chalk Point generating plant were studied from June 1963 to
     June 1966.  Ruppia maritima was found to have declined around the effluent
     canal and Potamogeton perfoliatus increased in coverage in the same area.

Anderson, R.R. 1969.  Temperature and rooted aquatic plants. Chesapeake Sci.
     10(3 and 4):157-164

     The effects of temperature on respiration and photosynthesis of aquatic
     plants were studied using a Gilson differential respirometer.  An historical
     review of research and present research by the author is presented.

Anderson, R.R. 1970.  The submerged vegetation of Chincoteague Bay , pp.  136-
     155.  J£ Assateague ecological studies. Univ. Maryland CBL Ref. No. 446.

     Hydrophytes are important to the marine environment because of their soil
     binding roots, foliage which provides food and shelter for marine fauna,
     etc.  In the Chincoteaque Bay area, Zostera marina (eelgrass)' and Ruppia
     maritima (widgeongrass) are the two dominant submerged aquatic species.
     A two-year study was conducted with emphasis on (1) type and distribution
     and (2) evaluation of primary production of species.  Recommendations are
     presented for future dredging operations.

Anderson, R.R., R.G. Brown and R.D. Rappleye.  1965.  Mineral composition of
     Eurasion water milfoil, Myriophyllum spicatum L. Chesapeake Sci. 6(l);68-72.

     Material was collected from June 1962 to January 1963 to determine
     feasibility of milfoil use as a commercial fertilizer.  Specimens collected
     at water temperatures from 0.2 to 30.0 C, pH values from 5.8 to 9.5 and
     salinities from 1.07 to 16.4ppt.  Results indicate low N-P-K values that
     would not be economically feasible for commercial fertilizers.
                                        283
 image: 








Anderson, R.R., R.G.  Brown and R.D.  Rappleye.   1968.   Water quality and plant
     distribution along the Upper Patuxent River,  Maryland. Chesapeake  Sci.
     9(3):145-156.

     From June 1963 to June 1966, a  study was  made of the Upper Patuxent River,
     Maryland, to determine the distribution of submerged and  emergent aquatic
     vegetation.   The boundary between fresh and saline water  was found to be
     0.3 ppt.  Fluctuations over a 24-hour period  reflected biological activity
     and tidal changes.

Anderson, R.R. 1972.   Submerged vascular plants of the Chesapeake Bay and
     tributaries. Chesapeake Sci. 13(suppl):S87-S89.

     A generalized summation of the  present knowledge of submerged aquatic plants
     of the Chesapeake Bay and its tributaries including taxonomy, distribution
     and abundance, biology, ecosystems and pollution.

Anonymous.   1959.  Chesapeake, stronghould of blue crab fishery.   Nat. Fisherman.
     40:13,30-31.

     Maryland supplies 66% of the entire U.S.  blue crab harvest.   The crab
     industry of Maryland         including the types, methods of catching and
     the crab life cycle are briefly discussed.

Bayley, S., H. Rabin, and C.H. Southwick.  1968.  Recent decline in the
     distribution and abundance of Eurasian milfoil in Chesapeake Bay.
     Chesapeake Sci.  9(3) :173-181.

     Eurasian water milfoil declined in 1965 to 1967  in Chesapeake Bay.
     Detailed mapping of milfoil occurrence was done  in Middle, Back and Rhode
     Rivers in July and September of 1966 and 1967.  The decline exceeded 95%,
     and was associated with Northeast disease and Lake Venice disease.

Bayley, S., V.D.  Stotts, P. Springer and J.  Steenis.   In press.  Changes in
     submerged aquatic macrophyte populations  at the  head of the Chesapeake Bay,
     1958-1975.

     Changes due to large inputs of  nutrients  and  silts, man's influence,
     epidemics and waterfowl population fluctuations  are discussed in relation
     to submerged aquatic vegetation at the head of the Chesapeake Bay.  The
     biological wave phenomena is also considered.

Bean, G.A., M. Fusco, W.L. Klarman.   1973.  Studies on the "Lake Venice Disease"
     of Eurasian milfoil in the Chesapeake Bay. Chesapeake Sc=f, 14:279-280;

     Samples of healthy and diseased Myriophyllum  spicatum were taken from the
     Rhode River in 1972 to determine the way in which the "Lake Venice Disease"
     was transmitted and the causal  agent.  It was shown that  the disease was
     only transmitted under stress from low light  intensity and direct inocula-
     tion.
                                     284
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Beaven, G.F.  1960.   Temperature and salinity of surface water at Solomons,
     Maryland.  Chesapeake Sci.  1(1):2-11.

     Daily temperature and salinity values averaged for a 20-year period,  1938-
     1957, and  compared with other parts of the Chesapeake Bay.   Water tempera-
     tures varied from 31  to 0.8 C.   Seasonal  means are:  winter 4.3 ,  spring
     11.9C,  summer 25.6Cand fall 18.2 C.  Extreme salinity values are 20.4 and
     5.4 ppt.  Seasonal means are:  winter 14.8, spring 11.4, summer 12.3  and
     fall 15.7ppt.

Beaven, G.F., C.K.  Rawls and G.E. Beckett.  1962.   Field observations upon
     estuarine  animals exposed to 2,4-D.  Proc. Northeast Weed Control Conf.
     16:449-458.

     A study to determine if 2,4-D used in the control  of Eurasian water milfoil
     is lethal  to oysters, crabs, clams and fish.   From the data gathered,  2,4-D
     in attaclay pellets was found to be non-toxic to crabs, toxic in varying
     degrees  to fish and a serious threat to oysters, clams and  other bottom
     organisms.
Bellrose, F.C. 1976.
     Harrisburg, Pa.
Ducks,  geese and swans of North America.
543pp.
Stackpole Books,
     Water species identification, population status, distribution, breeding and
     food habits in North America are defined along  with species habitat and
     food  resources of the Chesapeake Bay.
Brady, O.K.  1976.  Are the Chesapeake Bay waters warming up?
     17(3):225-227.
                                         Chesapeake Sci.
     Water temperature records from various stations on the Chesapeake were
     correlated to determine the possibility of a warming trend.   Because of
     insufficient data no definite trend was indicated.  The periodic fluctua-
     tions seemed to be random.

Chamberlain, E.B., Jr.  1948,  Ecological factors influencing the growth and
     management of certain waterfowl food plants on Back Bay National Wildlife
     Refuge.Thirteenth North American Wildlife Conf.  pp. 347-356.

     Since the early 20th century, waterfowl food plants on Back Bay National
     Wildlife Refuge have been studied.  Factors influencing food plant produc-
     tion are salinity, hydrogen ion concentration, dissolved oxygen, water
     temperature and turbidity.

Clark, L.J., O.K. Donnelly and 0. Villa, Jr.  1973.  Nutrient enrichment and
     control requirements in the upper Chesapeake Bay.   Summary and conclusions
     from forthcoming Tech.  Rept. 56.  EPA-903/9-73-002-a.  92pp.

     Series of conclusions and graphically displayed supportive data relevant
     to the current eutrophication problem in the upper Chesapeake Bay.  Phos-
     phorus and nitrogen from the Susquehanna River Basin and the Baltimore
     metro area are determined as to maximum allowable loadinas.
                                       285
 image: 








Clark, L.J., V. Guide and T.H.  Pheiffer.   1974.   Nutrient transport and
     accountability in the lower Susquehanna River basin.  Tech.  Tept.  60.
     EPA-903/9-74-014.  91pp.

     One-year comprehensive nutrient study in the lower Susquehanna River
     basin to determine:  (1)  average and seasonal  variations in  nitrogen
     and phosphorus loadings;  (2) delineation of point and non-point source
     nutrient contributions; (3) fate of nutrients in impounded areas and
     (4) seasonal mass balance  of nutrient loadings.

Davis, J. ed. 1974. The effects of tropical  storm Agnes on the Chesapeake
     Bay estuarine system.  Rept. U.S.  Army Corps of Engineers, Baltimore.
     DACW 31-73-C-0189.

     Analysis of the effects of tropical  storm Agnes  on the hydrology,  geology,
     water quality, biology and economics of the Chesapeake Bay.

Haven, D.S. 1963. Mass treatments with  2,4-D of milfoil in tidal  creeks in
     Virginia.   Proc. Southern  Weed Control  Conf. 16:345-350.

     Field tests were performed in 1962 using 2,4-D on Myriophyllum spicatum
     in the Lower Machodoc Creek, Virginia.   Pelleted formulations  of 2,4-D
     were found to effectively  control  milfoil in tidal creeks having re-
     stricted entrances.  Some  reduction in invertebrate populations of the
     tidal creeks may have resulted from the herbicide application, though
     this impact may have been  secondary.

Elser, H.J. 1966.  Status of aquatic weed problems in Tidewater Maryland,
     spring, 1965.  West Va. Pulp Paper Chem. Div.  Taste Odor Control J.
     32(8):l-6.

     Aquatic weed control can  be affected by chemical, physical,  biological
     and mechanical methods of  control.  Nuisance characteristics and growth
     status of the following plants are discussed:  Myriophyllum  spicatum,
     Trapa natans, Ulva lactuca, Ceratophyllum,  Potamogeton perfoliatus,
     Elodea canadensis, Vallisneria americana and Zostera marina.

Jaworski, N.A., D.W. Lear, Jr., and 0.  Villa, Jr. 1972. Nutrient  management
     in the Potomac estuary, pp. 246-269.    In G.E. Likens (ed.), Nutrients
     and eutrophication: the limiting nutrient controversy.  Am.  Soc.
     Limnol. Oceanogr. Inc., Lawrence,  KA.

     Because of the discharge  of untreated or partially treated wastewater  in
     the upper Potomac estuary  of Maryland,  water quality has become de-
     graded.  Studies beginning in 1965 have led to the formulation of a
     nutrient management program in this  area.
                                      286
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Kolessar, M.A.  1967.   Aquatic plants in Maryland—a growinq menace.   Proc.  Amer.
     Soc.    Civil  Eng. 93(ww3):l-7.

     Because of the increased population surrounding the Chesapeake Bay,  the
     amount of pollutants entering the bay has increased.   Some of the pollutants,
     such as herbicide run-off, add excessive nutrients.  Plant populations,
     especially sea lettuce, water chestnuts and Eurasian  water milfoil,  have
     increased to a menacing level.  Mechanical, chemical  and biological  control
     methods are discussed.

Lippson, A.J. ed.  1973.   The Chesapeake Bay in Maryland:   an atlas of natural
     resources.  Johns Hopkins Univ.  Press, Baltimore.   55pp.

     A detailed atlas  of the ecological factors affecting  the Chesapeake  Bay
     and the marine organisms living  in bay waters.

Manning, J.H.  1965.  The Maryland soft shall clam industry and its effects  on
     tidewater resources.  Univ.  Maryland  CBL Ref. No.  11.   25pp.

     A thorough report on the soft shell clam industry including dred.oing
     techniques, the historv and use  of the clam in  Maryland and the effects
     of the hydraulic  clam dredge on  tidewater resources.

Marsh, G.A.  1970.   A  seasonal study  of Zostera epibiota in the York River,
     Virginia.  Ph.D.  dissertation, College of William and Maryland, 155pp.

     The invertebrate  macrofauna and  epiphytes occurring on Zostera in the
     lower York River, Virginia, were sampled with the aid of SCUBA for 14
     consecutive months.   A collecting station was located at each of three
     different depths  within a single eelgrass bed.   Growth patterns of Zostera
     are discussed.

Marsh, G.A.  1973.   The Zostera epifaunal  community in the York River, Virginia.
     Chesapeake Sci. 14(2):87-97.

     A quantitative description of the species composition, community structure
     and seasonal changes in the Zostera epifauna in a single eelgrass bed in
     the lower YOrk River, Virginia.

Marsh, G.A.  1976.   Ecology of the gastropod epifauna of eelgrass in a Virginia
     estuary.   Chesapeake'Sci.  17:182-187.

     Eelgrass provides a substrate for a highly diverse epibiotic community.
     Gastropods are the predominant faunal element.   In the York River, Virginia,
     10 species of prosobranch gastropods and 13 species of opisthobranch gastro-
     pods were found.   The structure  and species composition were studied.

Orth, R.J.  1971.  Benthic infauna of eelgrass, Zostera marina, beds.  M.S.
     Thesis,  Univ.  Virginia.   79pp.

     The Zostera beds  in the Chesapeake Bay, York River estuary and Chincoteague
     Bay, were sampled in March and July to determine the abundance and diversity
     of the infauna.  A total of 117  macroinvertebrate taxa were found and most
     beds, except at the upper estuary limits, were similar.

                                       287
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Orth, R.J.   1973.   Benthic infauna of eelgrass,  Zostera marina,  beds.  Chesa-.
     peake Sci.  14(4):258-269.

     In 1970, 117  macroinvertebrate taxa were collected from core samples of
     Zostera marina from the Chesapeake Bay York River estuary and from
     Chincoteague  Bay.   Seasonal  differences were noted.  The samples  taken were
     compared for  fauna! dominance, similarity,  diversity and composition.  The
     environmental conditions, with emphasis on  salinity and sediments were
     sampled and compared.

Orth, R.J.   1975.   The role of disturbance in an eelgrass, Zostera marina,
     community.   Ph.D.  thesis, Univ.  Maryland, College Park.

     Eelgrass beds in the Chesapeake Bay were studied to determine:  (1) how
     eelgrass affects community structure of associated infauna, and (2) responses
     of infauna communities to different levels  of natural and artificially
     induced disturbances.

Orth, R.J.   1975.   Destruction of eelgrass, Zostera marina, by the cownose ray,
     Rhinoptera bonasus, in the Chesapeake Bay.   Chesapeake Sci. 16(3):205-208.

     The cownose ray, Rhinoptera bonasus, digs deeply into water bottoms to feed
     on the hard shelled molluscs.  The destruction of Zostera marina  beds is
     attributed to this digging which uproots this ecologically important marine
     plant.

Orth, R.J.   1976.   The demise and recovery of eelgrass, Zostera marina, in the
     Chesapeake Bay, Virginia.  Aquatic Botany 2:141-159.

     From 1971-1974 eelgrass, Zostera marina, L. declined 36%.  Evidence
     indicating the loss was drawn from aerial photographs and ground  truth
     reconnaissance.  The deline is attributed to the cownose ray, human
     disturbance and a rise in water temperature.

Orth, R.J.   1977.   The importance of sediment stability in seagrass communities,
     pp.   281-300 Ij^ B.C. Coull  (ed.).  Ecology of marine benthos.  S. Carolina
     Press,  Columbia.

     Dense seagrass beds, such as Zostera in the Chesapeake Bay, stabilize
     sediments, promote diverse and abundant benthic fauna and protect fauna
     from predation from blue crabs.

Orth, R.J.   In press.  Effect of nutrient enrichment on the growth of eelgrass,
     Zostera marina, in the Chesapeake Bay, Virginia. Mar. Biol.

     By adding two commercial fertilizers, Zostera marina was shown to be
     nutrient .limited, competitively exclusive of Ruppia maritima and growth
     related to sediment nutrient supply.

Orth, R.J.  and H.  Gordon.  1975.   Remote sensing of submerged aquatic vegetation
     in the lower Chesapeake Bay, Virginia.  Final Report to National  Aeronautics
     and Space Administration.  Contract NASI-10720.  62pp.
                                       288
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     Experimental  Kodak water penetration film and black and white near infrared
     film were used in studying the submerged aquatic vegetation of the lower
     Chesapeake Bay.   Between 1971  and 1974,  there was a 36% reduction in the
     amount of vegetation.

Philipp, O.C.  and R.G. Brown.  1965.   Ecological  studies of transition zone
     vascular plants  in South River,  Maryland. Chesapeake Sci.  6(2):73-81.

     Two transition zone areas in the South River, Maryland, were studied to
     determine the distrubution of aquatic vascular plants.  One area was near
     the mouth of the river and the other area was at the headwaters.

Rawls, C.K. and G.F.  Beaven.   1963.             Results of a 1962 field experiment
     subjecting certain estuarine animals to  a 2,4-D ester.  Proc. Southern
     Weed Conf. 16:343-344 (Abstr.).

     Field studies in the Wicomico River (Potomac River estuary) of the effects
     of 2,4-D on Mya  arenaria, Crassostrea virginica, Callinectes sapidus and
     Lepornis gibbosus resulted in no increase in normal mortality levels.  Tissue
     assays revealed  no 2,4-D residues in specimens.

Rawls, C.K.  1965.  Field tests of herbicide  tolicity to certain estuarine
     animals.   Chesapeake Sci. 6(3):150-161.

     Because of infestations  of Eurasian water milfoil in the Chesapeake Bay and
     its tributaries  since 1959, herbicide control with 2,4-D was necessary.
     Caged blue crabs (Callinectes sapidus),  eastern oysters (Crassostrea
     virginica), soft shell clams (Mya arenaria)  and various species were field
     tested with 2,4-D formulations to determine  toxicity levels.

Rawls, C.K.  1975.  Mechanical control of Eurasian water milfoil in Maryland with
     and without 2,4-D application. Chesapeake Sci. 16(4):266-281.

     Between the late 1950s and 1964, Eurasian water milfoil increased from a
     few thousand acres to 200,000 acres.  Milfoil grows in a variety of environ-
     ments and its uses are minimal compared  to its negative aspects.  The
     herbicide 2,4-D  was found to be effective in controlling milfoil; however,
     the required dosages could adversely affect  the surrounding aquatic life.
     Because of this  danger,  smaller applications of 2,4-D plus mowing was
     recommended.

Rawls, C.K.  In press.  Food  habits of waterfowl  in the upper Chesapeake Bay,
     Maryland.  138pp.

     Waterfowl gizzards representing 18 species of geese and ducks from the
     Chestertown area, Remington Farms and Colton Point were analyzed to deter-
     mine the value of Eurasian water milfoil (Myriophyllum spicatum) as a food
     source.  Out of  2,747 gizzards examined, over 78% of all food eaten was
     plant material.

Rawls, C.K. and P. McKee.  1964.  Maryland's  1963 program for regulation and
     evaluation of 2,4-D applications. Proc.  Southern Weed Conf.
     17:306-307.


                                       289
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     Due to increased Eurasian watermilfoil  infestations  in the Chesapeake Bay
     and its estuaries, the Water Pollution  Control  Commission approved the
     use of 2,4-D treatments to individual applicants.

Shima, L.J., R.R. Anderson, and V.P.  Carter.  1976.  The  use of aerial  color
     infrared photography in mapping  the vegetation of  a  freshwater marsh.
     Chesapeake Sci.  17(2):74-85.

     Aerial color infrared photographs taken of a freshwater marsh on the
     Patuxent River in the spring and fall were correlated with field surveys
     taken at the same time.  Color fluctuations indicated different species,
     growth and vigor of plants and environmental conditions.

Southwick, C.H. 1972. Tentative outline for  inventory of  aquatic vegetation:
     Myriophyllum spicatum (Eurasian  watermilfoil).   Chesapeake Sci.  13(suppl):
     S174-S176.

     A brief outline  for the future inventory of Myriophyllum spicatum
     emphasizing the  description of the species and its ecological habitat.

Southwick, C.H. and F.W. Pine. 1975.  Abundance of submerged vascular vegetation
     in the Rhode River from 1966 to  1973. Chesapeake Sci. 16(1):147-151.

     Surveys on the distribution of redhead  grass (Potamogeton perfoliatus),
     Eurasian watermilfoil (Myriophyllum spicatum), widgeongrass (Ruppia
     maritima), horned pondweed (Zannichellia palustris), sago pondweed
     (Potamogeton pectinatus) and elodea (Elodea canadensis), showing irregu-
     lar declines, disappearances and changes in species  dominance from 1966
     to 1973.

Steenis, J.H., E.W. Ball, V.D. Stotts, and C.K. Rawls.  1967. Pest plant control
     with herbicides, pp.   140-148 Ir± Proc.  of the Marsh and Estuary Mgmt.
     Symp. Louisiana  State Univ., Baton Rouge.

     Herbicides are used in the marine environment to modify plant composition
     and density for  improvement and  preservation of the  estuarine habitat.
     Because of the possible effects  of the  addition of herbicides, they
     should be screened for the development  of control  procedures, their
     characteristics  should be more clearly  defined and application rated
     should be checked.

Steenis, J.H. and V.D. Stotts. 1961.  Progress report on control of Eurasian
     watermilfoil in  Chesapeake Bay.  Proc. Northeastern Weed Control  Conf.
     15:566-570.
     silvex and 2,4-D herbicides have been used Tor control.   Studies were
     conducted to determine 1iow to apply these herbicides in  tidal  situations
     without detrimental effects to other marine life.
                                      290
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Steenis, J.H. and V.D. Stotts. 1965. Tidal dispersal of herbicides for con-
     trolling Eurasian watermilfoil in the Chesapeake Bay. Proc. Southern
     Weed Conf. 18:507-511.

     Because Eurasian watermilfoil has become a national weed problem, more
     effective tidal dispersal control with herbicides is necessary.   2,4-D,
     currently widely used, was considered to be effective.  Paraquat and par-
     ticularly diquat are excellent herbicides for milfoil control under
     tidal conditions but are less well understood than 2,4-D.

Steenis, J.H., V.D. Stotts, and C.R. Gillette. 1962. Observations on  distribu-
     tion and control of Eurasian watermilfoil in Chesapeake Bay, 1961.
     Proc. Northeastern Weed Control Conf. 16:442-448.

     Eurasian watermilfoil is an adaptable aquatic plant that grows in fresh
     and saline waters.  Boat surveys were made to determine the extent of
     infestation.   Control of the plant was tested using 2,4-D.

Steenis, J.H., V.D. Stotts, D.S. Haven, and A.A. Whipp. 1964. Developments
     on control of Eurasian watermilfoil in the Chesapeake Bay region, 1963.
     Proc. Southern Weed Conf. 17:321-323.

     Although 2,4-D can be used effectively to control the spread of  Eurasian
     watermilfoil, the period of application is limited to the last ten days
     of May and the first week of June in the Chesapeake Bay.  Lengthening
     the application period and using water movement for dispersal are
     discussed.

Stewart, R.E. 1962. Waterfowl populations in the upper Chesapeake region.
     U.S. Fish Wild!. Serv. Spec. Sci. Rept. Wild!.  No. 65. 207pp.

     Annual and seasonal variations in the numbers and kinds of waterfowl in
     13 major habitat regions of the upper Chesapeake Bay are accounted for
     from 1953 to 1958.  Data from U.S. Bureau of Sport Fisheries and Wildlife
     aerial waterfowl populations, observations of breeding, migration, and
     the gullet and gizzard analyses of 1,240 specimens  are presented.

U,S. Army Corps of Engineers, Baltimore District. 1974. Chesapeake Bay,
     existing conditions report.  Vol. 1-7.

     Comprehensive investigation of Chesapeake Bay resources for baseline
     data on present status.

U.S. Army Corps of Engineers, Baltimore District. 1977.  Chesapeake Bay,
     future conditions report. Vol. 2-12.

     Investigation of present and future conditions  of the Chesapeake Bay with
     recommendations for future social, economic and ecological  criteria.
                                      291
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                               LITERATURE CITED
Adams, F.S., H. Cole, and L.B.  Massie.   1973.   Elemental  consitution of selected
  aquatic vascular plants from  Pennsylvania:  submersed and floating leaved
  species and rooted emergent species.   Environ.  Pollut.  5:117-147.

Adams, F.S., D.R.  MacKenzie, H. Cole, and M.W.  Price.   1971.   The influence of
  nutrient pollution levels upon element constitution  and morphology of Elodea
  canadensis Rich, in Michx.  Environ.  Pollut.  1:285-298.

Adams, M.S., J. Titus, and M. McCracken.  1974.   Depth distribution of photo-
  synthetic activity in a Myriophyllum spicatum community in  Lake Wingra.
  Limnol. Oceanogr. 19(3):377-389.

Adams, S. 1976ja.  The ecology of eelgrass Zostera marina  (L.), fish communi-
  ties.  I. Structural analysis.  J.  Exp. Mar.  Biol.  22:269-291.

Adams, S. 1976ib.  The ecology of eelgrass, Zostera marina (L.), fish communi-
  ties.  II. Functional analysis J. Exp. Mar.  Biol. Ecol. 22:293-311.

Adams, S.M. 1976c_.  Feeding ecology of eelgrass fish communities.  Trans. Amer.
  Fish. Soc. 105:514-159.

Adams, S.M., and J.W. Angelovic.  1970.  Assimilation  of  detritus and its asso-
  ciated bacteria by three species of estuarine animals.   Chesapeake Sci.
  11:249-254

Addy, C.E.  1947a_.  Germination of eelgrass seed.  J.  Wildl.  Mgr. 11:279.

Addy, C.E.  1947JD.  Eelgrass planting guide.   Maryland Cons.  24:16-17.

Addy, C.E.  1953.   Fall migration of the black duck.   U.S. Fish Wildl. Serv.
  Spec. Ser. Sci.  Rept., Wildl. No. 19, 63 pp.

Addy, C.E., and D.A. Aylward.  1944.   Status  of eelgrass  in Massachusetts
  during 1943,  J. Wildl. Mgr.  8:265-275.

Ali, A.  1973,  The chemical analyses of saline waters under investigation for
  saline water fish culture.  Agric.  Pakistan 24(l):33-38.

Allanson, B.R.  1973.  The fine structure of the periphyton of Chara sp. and
  Potamogeton natans from Ulytham Pond, Oxford and its significance to the
  macrophyte-periphyton metabolic model of R.G. Wetzel and H.L. Allen.
  Freshwater Biol. 3:535-542.

Allcook, H.R.  1967.  Heteroatom ring systems and polymers.  Academic Press,
  New York.

Allen, H.L.  1971.  Primary productivity, chemo-organotrophy, and nutritional
  interactions of epiphytic algae and bacteria on macrophytes in the lit-
  eral of a lake.   Ecol. Monogr. 41(2):97-127.


                                       292
 image: 








Allenby, K.G.  1968.  Some analyses of aquatic plants and waters.   Hydrobiologia
  32:486-90.

Anderson, R.G.  1958.  The growth and reproduction of Chara in a definable nut-
  rient medium.  Thesis, Univ. Nebraska, Lincoln.  127 pp. (Diss.  Abstr.,
  20:3034 (cited by Hutchinson 1975)

Anderson, R.R.  1964.  Ecology and Mineral  nutrition of Myriophyllum spicaturn
  (L.) M.S.  Thesis, Univ. Maryland, College Park.  42 pp.

Anderson, R.R.  1966.  Plant ecology of the upper Patuxent River estuary with
  special reference to the effects of thermal pollution on macrophytes.   Ph.D.
  Thesis, Univ. Maryland, College Park.  99 pp.

Anderson, R.R.  1969.  Temperature and rooted aquatic plants.   Chesapeake Sci.
  10(3 and 4):157-164.

Anderson, R.R.  1972.  Submerged vascular plants of the Chesapeake Bay and
  tributaries.  Chesapeake Sci.  13(suppl.):S87-S89.

Anderson, R.R., R.G. Brown, and R.D. Rappleye.  1965.  Mineral composition of
  Eurasian watermilfoil, Myriophyllum spicatum.   Chesapeake Sci. 6(l):68-72.

Anderson, R.R., R.G. Brown, and R.D. Rappleye.  1967.  The mineral content of
  Myriophyllum spicatum L. in relation to its aquatic environment.  Ecology
  47:844-846.

Andrikovics, S.  1973.  Hydro-ecological and zoological examinations in  the
  pond weed fields of Lake Ferto, Hungary.   Allattani Kozi 60(1-4):39-50.

Anonymous.  1959.  Chesapeake, stronghold of blue crab fishery.   Nat.  Fisherman
  40:13,30-31.

Anonymous.  1976.  Creeping and crawling on Currituck Sound, the dilemma of
  Eurasian watermilfoil.  Univ.  North Carolina Sea Grant News  Letter.  4  pp.

Arasaki, M.   1950^.  The ecology of Amamo (Zostera marina) and Koamamo (Zostera
  nana).  Bull. Jap. Soc. Sci. Fish. 15:567-572.

Arasaki, M.   1950J3.  Studies on the ecology of Zostera marina  and  Zostera nana.
  11. Bull.  Jap. Soc. Fish. 16:70-76.                             	

Arbor, A.  1920.  Water plants,  a study of aquatic angiosperms.   Cambridge Univ.
  Press, England.  436 pp.

Ascherson, P., and P. Grabener.   1907.  Potamogetonaceae.  Das Pflanzenreich
  4:133.

Atkins, W.R.G.  1938.  The disappearance of Zostera marina.  J.  Mar. Biol. Assoc.
  U.K. 13:207-210.

Audus, L.J.   1964.  Herbicide behavior in the soil, pp. 166-203.  In L.J.
  Audus (ed.), The physiology and biochemistry of herbicides.  Academic Press,
  London,  (cited in Kaufman 1976)
                                      293
 image: 








Avault, J.W., Jr.   1965.   Preliminary studies  with  grass  carp  for aquatic weed
  control.   Progress.   Fish Culture.   27:207-209.

Backman, T.W. and D.C.  Barilotti.   1976.   Irradiance reduction:   effects  on
  standing  crops of the eelgrass  Zostera  marina  in  a coastal  lagoon.   Mar.  Biol.
  34:33-40.

Baeumer, K.  and W.A.  Bakermans.   1973.   Zero-tillage,   pp.   77-123.   Jji  N-c-
  Brady (ed.), Advances in agronomy.   Academic Press, New York.   400  pp.

Bailey, G.W., A.P.  Barnett, W.R.  Payne,  Jr., and C.N. Smith.   1974.   Herbicide
  runoff from four coastal plain  soil types.   EPA-660/2-74-017.   98 pp.

Bailey, G.W., R.R.  Swank, Jr., and H.P.  Nicholson.   1974.   Predicting pesticide
  runoff from agricultural land:   conceptual model.   J.  Environ.  Qual.
  3(2):95-102.

Baker, F.C.   1916.   The relation  of mollusks to  fish in  Oneida Lake.   New York
  State College of Forestry, Syracuse Univ. Tech.  Pub. No. 4  16(21).

Baker, F.C.   1918.   The productivity of invertebrate fish food on the bottom of
  Oneida Lake, with special reference to  mollusks.   New  York  State College of
  Forestry,  Syracuse Univ. Tech.  Pub. No. 9  18(2).

Baldwin, B.C., B.F. Bray, and M.J. Geoghegan.   1966.  The microbial decompo-
  sition of paraquat.   Biochem.  101:15.

Baldwin, W.P.  1967.   Impoundments for waterfowl on South Atlantic and Gulf
  coastal marshes in process marsh and estuary management symptom. Louisi-
  ana State Univ.  Baton Rouge, pp.127-133.

Ball, E.W.   1965.   Waterfowl habitat management.  Proc.  Southern Weed Conf.
  17:308-314.

Ballard, J.L. and P.W.  Santelmann.  1973.  Influence of  selected soil proper-
  ties on alachlor activity.  Southern Weed  Sci. Soc. 26:385-388.

Bardsley, C.E., K.E.  Savange, and J.C.  Walker.  1968. Trifluralin behavior in
  soil, II.  Volatilization as influenced by  concentration, time, soil mois-
  ture content and placement.  Agron. J.  60-89-92.

Barnard, J.L.  1970.   Benthic ecology of Bahia de San Quintin Baja California.
  Smithsonian Contrib.  Zool. No.  44.

Barry, C.K.   1974.   Role of form vision in habitat selection  of the grass shrimp,
  Hippolyte californiensis.  Mar. Biol.  26:261-270.

Barsdate, R.J., M.  Nebert, and C.P. McRoy.   1974.   Lagoon contributions to
  sediments and water of the Bering Sea, pp.  553-576. Jm D.W.  Hood and E.J.
  Kelley  (eds.), Oceanography of the Bering  Sea:   with  emphasis on renewable
  resources.  Univ. Alaska Press, College.
                                      294
 image: 








Bartsch, A.  1954.  Bottom and plankton conditions in the Potomac River in the
  Washington metropolitan area.  Appendix A:  a report on water pollution in
  the Washington metropolitan area.   Interstate Comm.  Potomac River Basin.
  57 pp.

Bayley, S., H.  Rabin, and C,H. Southwick.  1968.   Recent decline in the distri-
  bution and abundance of eurasion milfoil in Chesapeake Bay.   Chesapeake Sci.
  9(3):173-181.

Bayley, S., V.D. Stotts, P. Springer and J.  Steenis.   (in press).  Changes in
  submerged aquatic macrophyte populations at the head of the  Chesapeake Bay,
  1958-1975.

Bean, G.A., M.  Fusco, and W.L. Klarman.  1973.   Studies on the "Lake Venice
  Disease" of eurasian milfoil in the Chesapeake Bay.  Chesapeake Sci.
  14(4):279-280.

Beaven, G.F.  1960.  Temperature and salinity of surface water at Solomons,
  Maryland.  Chesapeake Sci.  1:2-11.

Beaven, G.F.  1962.  Summary of the 1962 interagency research  meeting on
  Eurasian watermilfoil.  Univ. Maryland.  CBL Ref. No. 62-15.  Mimeo.  9 pp.

Beaven, G.F., C.K. Rawls and G.E. Becket. 1962.  Field observations upon
  estuarine animals exposed to 2,4-D.  Proc. Northeast Weed Control Conf.
  16:449-458.

Beestman, G.B., and J. B. Deming.  1974.  Dissipation of acetanilide herbicides
  from soils.  Agronomy J. 66:308-311,

Bell, G.R.  1956.  On the photochemical degradation of 2,4-dichlorophenoxy-
  acetic acid and structurally related compounds in the presence and absnence
  of riboflavin.  Bot. Gaz. 118:133-136.

Bellrose, F.C.   1976.  Ducks, geese and swans of North America.  Stackpole
  Books, Harrisburg, Pa.  543 pp.

Bent, A.C.  1925.  Life histories of North American wildfowl.  U.S. Nat. Mus.
  Bull. 130, part II. pp. 281-293.

Bergman, R.D.  1973.  Use of south Boreal lakes by postbreeding canvasbacks
  and redheads.  J. Wildl. Mgmt. 37(2).-160-170.

Best, M.D. and K.E. Mantai.  1977.  Growth of Myriophyllum:  sediment or lake
  water as the source of nitrogen and phosphorus.  Proc. Soc.  Limnol. Oceanogr.
  (Abstr.).

Biebl , R., and C.P. McRoy.  1971.  Plasmitic resistance and rate of respira-
  tion and photosynthesis of Zostera marina at different salinities and
  temperatures.  Mar. Biol. 8:48-56.

Biggs, R.B.  1970.  Sources and distribution of suspended sediment in northern
  Chesapeake Bay.  Mar. Geol. 9:187-201.

                                      295
 image: 








 Blackburn,  K.B.   1934.   Wasting  disease  of  Zostera marina.   Nature  134:738.

 Blackburn,  R.D.   1963.   Evaluating  herbicides against  aquatic weeds.  Weeds
   11:21-24.

 Blackburn,  R.D.,  and  L.W.  Weldon.   1964.  Control of southern naiad in  Florida
   drainage  and irrigation  channels.  Weeds  12:295-298.

Blackburn, R.D.,  P.P.  White,  and  L.W. Weldon.  1968.  Ecology of  submersed
   aquatic weeds  in southern  Florida canals.  Weed Sci .  16:261-266.

 Block,  R.M.,  G.R.  Helz,  and  W.P.  Davis.   1977.  The fate  and effects  of chlor-
   line  in coastal  waters:  summary  and recommedations.  Chesapeake  Sci.
 Blois,  J.C.,  J.M.  Francaz,  M.  Gaudichon  and  L.  LeBris.   1961.    Observations
   sur les herbiers a"  Zosterea  de  la  region de  Roscoff.  Cah.  Biol.  Mar.  2:223-262.

 Borner,  H.,  H.  Burgemeister, and  M.  Schroeder.   1969.   Z.  Pflanzenkrankh. ,
   Pflanschutz.   76:385.   (cited in Geissbuhler et  al .  1975).

 Bourn,  W.S.   1932. Ecological and physiological  studies on certain aquatic
   angiosperms.   Cont.  Boyce Thompson Inst. 4:425-496.

 Bourn,  W.S.   1934. Sea-water  tolerance  of Vallisneria spiralis  L.  and
  • Potamogeton foliosus.   Cont. Boyce Thompson  Inst.  6:303-308.

 Bourn, "W.S.   1935. Sea-water  tolerance  of Ruppia  maritima.   Cont.  Boyce
   Thompson Inst.  7:249-255.

 Bourn,  W.S.  and B. Jenkins. 1928.   Rhizoctonia disease on certain aquatic
   plants.  Bot. Gaz.  85:413-426.

 Bownik,  L.J.   1970.   The periphyton  of the submerged macrophytes of Mikolajskie
   Lake.   Polish J. Ecology  (Ekologia Polska).   18(24) :503-520.

 Boyd, C.E.  1974.   Utilization of aquatic plants,  pp.  107-115.   J_n D.S. Mitchell
   (ed.), Aquatic vegetation and its  use  and  control.   UNESCO,  Paris.   134 pp.

 Boyer,  J.S.   1960. Studies of the physiology, ecology and structure of
   Myriophyllum spicatum L.  Univ. of Maryland.  CBL  Ref.  No.  60-63.  8  pp.

 Boylen,  C.W. , and T.D.  Brock.  1974. A  seasonal diatom in a frozen Wisconsin
   lake.   J.  Phycol.  10(2) :210-213.

 Brewer,  P.G.   1975.   Minor  elements  in sea water,   Chapter 7.  J_n_ J.P.  Riley
   and G. Skirrow (eds.), Chemical Oceanography. Academic Press, New York.
   Cited in Schroeder, 1977.

 Brian,  R.C.,  R.F.  Homer, J. Stubbs,  and  R.L.  Jones.   1958.  A new herbicide.
   Nature 181(4607) :446-449.
                                        296
 image: 








Briggs, P.T., and J.S.  O'Conner.   1971.   Comparison of shore-zone  fishes  over
  naturally vegetated and sand-filled bottoms  in  Great South  Bay.  N.Y.  Fish
  Game J. 18:15-41.

Bristow, J.M., and M. Whitcombe.   1971.   The role of roots  in the  nutrition  of
  aquatic vascular plants.   Am.  J.  Bot.  58:8-13.

Brooks, R.F., N.G. Clark, A.F.  Hams, and H.A.  Stevenson.   1960.  Brit.  Pat.  845,
  916.  (cited in Probst et al.  1975).

Brown, J.W., and J.W. Mitchell.   1948.   Inactivation of 2,4-dichlorophenoxy-
  acetic acid in soil as affected by soil  moisture, temperature, the addition
  of manure and autoclavina.   Bot.  Gaz.  109:314-323.

Brown, L.R.  1975.  Consequences  of oil  pollution in the estuarine environment
  of the Gulf of Mexico, pp.  401-408.  ln_ U.S.  Environmental  Protection Agency.
  Estuarine pollution control  and assessment:   proceedings  of a  conference.
  Vol. 2.

Bruijns, M.F.N., and J. Tanis.   1955.  De rotganzen, Branta bernicula L., op. ter-
  shelling.  Ardea 43:261-271.                            ~

Bureau of Land Management.   1976.  Final environmental statement:  1976 outer
  continental shelf  oil and gas  lease sale offshore the mid-Atlantic states.
  Vol. 3.  GPO, Washington, D.C.   788 pp.

Bureau of Sport Fisheries and Wildlife,  U.S. Fish and Wildlife Resources
  Commission and Virginia Commission of Game and  Inland Fisheries.  1966.
  Back Bay-Currituck Sound data report.   Vol.  3,  environmental factors.
  Unpublished.  (This report, part of a four-volume series, was  intended  for
  publication by the U. S.  Fish and Wildlife Service as a Special  Scientific
  Report.  However,  to the best of our knowledge, publication has  not occurred,)

Burgermeister, H.  1968.  Entwicluntsphysiologische Untersuchungen cur
  Heterothyllie und Stomatabildunt bei.   Zannichellia palustris  L.   Beitr.
  Biol. Pfl. 44:57-121.

Burkholder, P.R., and T.E.  Doheny.   1968.   The biology of eelgrass.   Lamont
  Geol. Observatory No. 1227.   120 pp.

Burns, R.A., and L.  J.  Audus.   1970.  Distribution and breakdown of Paraquat
  in soil.   Weed Res.  10:49-58.

Burnside, O.C,, C.R. Fenster, and G.A.  Wicks.   1963.  Dissipation  and leaching
  of monuron. simazine and atrazine in Nebraska soils.  Weeds 11:209-213.

Burrows, E.M.  1971.  Assessment of pollution effects by the use of algae,
  pp. 196-197.  _In_ W.A. Thomas, W.H. Wilcox and G. Goldstein.  1973.
  Biological indicators of environmental quality:  a bibliography  of abstracts.
  Ann Arbor Science Publ. Inc., Ann Arbor, Michigan,  (abstr.)
                                       297
 image: 








Butcher, R.W.   1933.   Studies  on the ecology of rivers.   I.  On  the  distribution
  of macrophytic vegetation in rivers of Britain.   J.  Ecol.  21:58-91.

Butcher, R.W.   1935.   Wasting  disease of Zostera marina.   Nature  135:545.

Butler, P.A.   1966.   Fixation  of DDT in estuaries,  pp.  184-189,   _In_ 31st North
  Amer. Wild!.  Nat.  Res.  Conf. Trans.

Calderbank, A.   1968.   the bipyridylium herbicides.  Adv.  Pest Control  Res.
  8:127-235.

Calderbank, A., and  P. Slade.   1975. Diquat and paraquat,  pp.  501-540.   Jji^
  P.C.  Kearney, and  D.D.  Kaufman (eds.), Herbicides:  chemistry, degradation
  and mode of action.   Vol. II.   Marcel Dekker, Inc.,  New York.   475 pp.

Campbell, D.H.   1897.   A morphological  study of Najas  and Zannichellia.   Proc.
  Calif. Acad.  Sci.,  Ser. 3, 1:1-61.

Capone, D.G.,  and B.F. Taylor.  1977.  Nitrogen fixation  (acteylene reduction)
  in the phyllosphere  of Thallassia testudinum. Mar.  Biol.  40:19-28.

Chamberlain,  E.B.,  Jr.  1948.   Ecological  factors  influencing the growth and
  management of certain waterfowl  food plants on Back  Bay National  Wildlife
  Refuge.  North American Wild.  Conf. 13:347-356.

Chapman, V.J.   1960.   Salt marshes and salt deserts of the world.  Leonard
  Hill  Books  Ltd.,  London.  352 pp.

Chapman, V.J.,  J.M.A.  Brown, C.F.  Hill, and J.L. Carr.   1974.   Biology of
  excessive weed growth in the hydro-electric lakes of the Waikato  River, New
  Zealand.   Hydrobiologia 44:349-363.

Chesapeake Bay Foundation.  1977.   The Bay on borrowed time:  transportation
  and handling of oil  and other hazardous materials on Chesapeake Bay waters.
  Staff report.  Annapolis, Md.

Chrysler, F.S., F.H.  Blodgett, and F.W. Besley. 1910.   The plant life of
  Maryland.  Johns  Hopkins Press,  Baltimore, MD.

Churchill, A.C. (in  press).  Anthesis and seed production  in Zostera marina L.
  from Great South  Bay, New York.  Aq. Botany.

Clapham, A.R., T.A.  Tutin, and E.F. Warburg.  1952.  Flora of the British Isles.
  Cambridge Univ. Press, England.   1591 pp.

Clark, L.J.,  O.K. Donnelly, and 0. Villa, Jr.  1973.   Nutrient enrichment and
  control requirements in the upper Chesapeake Bay, summary and conclusions.
  Tech. Rept.  56. EPA-903/9-73-002-a Washington, D.C.    24 pp.

Coates, G.E., H.H.  Funderburk, Jr., J.M. Lawrence,  and D.E. Davis.   1964.
  Persistance of diquat and parauqat in pools and  ponds.   Proc.  Southern Weed
  Conf. 17:308-314.


                                       298
 image: 








Coates, C.E., H.H.  Funderburk, Jr., J.M.  Lawrence,  and D.E.  Davis,   1966.
  Factors affecting persistence and inactivation of diquat and paraquat.
  Weed Res. 6:58-66.

Conies, R.D., and F.L.  Timmons.  1965.   Effects of sunlight on the phototoxicity
  of some phenylurea and triazine herbicides on a soil surface.    Weeds
  13:81-84.

Commission on International  Relations.   1976.   Making aquatic weeds useful:
  some perspectives for developing countries.   National  Academy of Science,
  Washington, D.C.

Conover, J.T.  1958.   Seasonal growth  of benthic marine plants as related  to
  environmental  factors in an estuary.   Pub!.  Inst. Mar. Sci. Univ. Texas
  5:97-147.

Conover, J.T.  1968.   The importance of natural diffusion gradients and trans-
  port of substances  related to benthic marine plant metabolism.   Bot.  Mar.
  11:1-9.

Cook, C.D.K., B.J.  Gut, E.M. Rix, J. Schneller, and M. Geitz.  1974,  Water
  plants of the  world, a manual for the identification of the genera of
  freshwater macrophytes.  Dr. W. Junk  b.v., Publishers, The  Hague, Netherlands.
  561 pp.

Corbin, F.T., and R.P. Upchurch.   1967.  Influence  of pH on detoxication  of
  herbicices in  soil.   Weeds 15:370-377.

Corbin, F.T., R.P.  Upchurch, and F.L.  Se'lman.   1971.  Influence of pH on  the
  phytotoxicity  of herbicides in soil.   Weed Sci. 19:233-239.

Correll, D.C., T. Wu,  and J.W. Pierce.   1976a_.  Aquatic plant die-offs  in
  Chesapeake Bay: relationship to light penetration and/or herbicide
  pollution.  Vol.  1  EPA 903/9-76-001.   11  pp.

Correll, D.C., T. Wu,  and J.W. Pierce.   1976JD.  Aquatic plant die-offs  in
  Chesapeake Bay; relationship to light penetration and/or herbicide pollution.
  Vol. 11 EPA 903/9-76-001.   9 pp.

Correll, D.L., T. Wu,  J.W. Pierce, and  M.A.  Faust.   1977.  Rural  non-point
  pollution studies in Maryland (Non-point pollution studies  on agricultural
  land use types prevalent in the Coastal Plain zone of Maryland).   EPA
  904/9-77-001.   Washington, D.C.  361  pp.

Cory, R.L.  1974.  Changes in oxygen and primary production in the Patuxent
  Estuary, Maryland.   1963-1969.   Ches. Sci. 15:78-83.

Cottam, C.  1933a_.   Eelgrass, valuable  sea plant, dying of mysterious diseases.
  Sci. News Letter 24-73.

Cottam, C.  1933!b.   Disappearance of eelgrass  along the Atlantic Coast.  Plant
  Dis. Rep. 17:46-53.
                                      299
 image: 








Cottam, C.   1934a_.   Past periods of eel grass  scarcity,   Rhodora 36:261-264.

Cottam, C.   1934^.   The eelgrass shortage in  relation  to waterfowl.   Trans.  Amer.
  Game Conf.  20:272-279.

Cottam, C.  1934£.   Eelgrass disappearance has serious  effects  on waterfowl  and
  industry.  U.S.  Dept. Agri.  Yearbook,   pp.  191-193.

Cottam, C.  1935^.   Wasting disease of Zostera marina.   Nature  135:306.

Cottam, C.  1935b.   Further notes on past periods  of eelgrass scar city,  Rhodora
  37:269-271.

Cottam, C.   1939.   Food habits of North American  diving ducks.  U.S.  Dept.  Agri.
  Tech. Bull. 643.   Washington, D.C.    139 pp.

Cottam, C., and C.E. Addy.  1947.  Present eelgrass condition  and problems  on
  the Atlantic Coast of North  America.   Twelfth North  American Wildlife Conf.,
  San Antonio, TX.   Mimeo.   19 pp.

Cottam, C., and D.A. Munro.  1954.  Eelgrass  status and environmental relations.
  J. Wildl. Mgt. 18:449-460.

Cowell, E.B.   1969.  The effects of oil  pollution on salt-marsh communities in
  Pembrokeshire and Cornwall.   J. Appl.  Ecol. 6:133-142. (Cited in Ecological
  Analysts, Inc. 1976}

Cronin, L.E.   1976.  submersed aquatic plants in  Maryland waters of the Chesa-
  peake Bay and its tributaries.  Univ.  Maryland  CEES  Ref. No. 76-32.  Mimeo.
  12 pp.

Cronquist,  A.  1968.  The evolution and classification of flowering plants.
  Houghton  Miff1 in, Boston.  396 pp.

Crosby, D.G.   1976.  Herbicide photodecomposition, pp. 835-890.  Jjn P.C.
  Kearney and D.D.  Kaufman  (eds.). Herbicides: chemistry, degradation and
  mode of action.   Vol. II. Marcel Dekker, Inc. New York.  475 pp.

Crowell. T.E., J.H. Steenis, and J.L. Sincock.  1967.   Recent  observations  of
  Eurasian watermilfoil in Currituck Sound, North Carolina, and other coastal
  southeastern states.  P.R. Proj. F-16-R, N.C. Bull,  (no number) N.C.  Wildl.
  Res. Comm., Raleigh, and Bur. Spt. Fisheries and Wild!., Patuxent Wildl.Res.
  Ctr. 8 pp.

Curtis, O.F.  and D.G. Clark.  1950.  An introduction to plant  physiology.
  McGraw-Hill Book Co., Inc.  New York.

Darnell, R.M.  1959.  Studies  of the life history of the blue  crab (Callinectes
  sapidus Rathbun) in Louisiana waters.  Amer. Fish. Soc. Trans. 88(47:294-304".
                                       300
 image: 








Davey, E.W. and O.K. Phelps.  1975.   Trace metals in the oceans:   problem or no,
  pp. 445-449.  lr± U.S.  Environmental  Protection Agency.  Estuarine pollution
  control and assessment: proceedings  of a conference.   Vol.  2.

Davies, P.J., and D.E.  Seaman.   1964.   Physiological effects  of  diquat on
  submersed aquatic weeds.  Abstr.  Weed. Sci.  Soc.  Amer. p.  100.

Davis, D.E.  1956.   Some factors that affect the phytotoxicity of water-soluble
  DNBP.  Weeds 4:227-234.

Davis, D.E., H.H. Funderburk, Jr.,  and N.G. Sansing.  1959.   Adsorption,  trans-
  location, degradation, and volatilization of radioactive simazine.    Proc.
  Southern Weed Conf. 12:172.

Davis, F.L. and F.L. Selman.  1954.   Effects of water upon the movement of
  dinitro weed killers  in soil.   Weeds 3(1):11-21.

Davis, G.J., M.N. Jones, C.Z. Luney, and A.M.  Clark.  1973.   Calcium reversal
  of sodium chloride toxicity in ssedlings of Myriophyllum spicatum.  J. Elisha
  Mitchell Sci. Soc. 89(4):246-247.

Davis, G.J. M.N. Jones,  C.Z. Luney,  and G.M. Clark.  1974.  Inhibition of
  sodium chloride toxicity in seedlings of Myriophyllum spicatum with calcium.
  Plant Cell Physio!. 15(3):577-581.

Davis, J., ed. 1974.  Summary report,  pp. 1-51.  _l£ J.  Davis, (ed.),  Impact of
  tropical storm AGNES  on Chesapeake Bay.  Appendix:  The effects of tropical
  storm AGNES on the Chesapeake Bay estuarine system.  Chesapeake Research
  Consortium, Inc.

Davis, W.P., and D.P. Middaugh.   1975.  A review of the impact of chlorination
  processes upon marine  ecosystems,  pp. 299-325.  Jjn Proc. Conf.  Environ.
  Impact of Water Chlorination.   Oak Ridge, TN.

Davis, W.P., D.P. Middaugh, J.H. Carpenter, G.R. Helz,  and M.H.  Roberts.   1977.
  The chemistry and ecological  effects of chlorination  of seawater--a summary
  of EPA research projects.  Gulf Breeze Contrib. No. 330.  22 pp.

Dawson, E.Y.  1966.  Marine botany.   Holt, Rinehart and Winston,  Inc., New York.
  371 pp.

Deane, W.  1910.  Zannichellia palustris, an additional record.   Rhodora 12:12.

DeMarte, J.A., and R.I.  Hartman.  1974.  Studies on absorbtion of P32, Fe59,
  and Ca1*5 by water milfoil (Myriophy 11 urn exa 1 bescens (Fernald).   Ecology
  55:188-194.

Devlin, R.M.  1973.  Influence of phenoxy growth regulators  on the uptake of
  naptalam by Potamogeton pectinatus.   Proc. Northeast Weed Sci.  Soc. 27:115-119.

Devlin, R.M.  1974.  Influence of plant growth regulators on  the uptake of
  naptalam by Potamogeton.  Proc. Northeast Weed Sci. Soc. 28:99-105.


                                       301
 image: 








Devlin, R.M.   1975.   Plant physiology.   D.  Van Nostrand Co.  New York.

Devlin, R.M., and R.P.  Cunningham.   1970.   Proc.  Northeast Weed Control  Conf.
   24:149 (cited in  Jaworski  1975).

Devlin, R.M., R.W.  Yaklich, and S.J.  Karczmarczyk.   1972.   Influence of mineral
   deficiencies in  Potamogeton pecJ:i_ndti!S_ M.  and  their influence on naptalam
   uptake and accumulation.  Proc.  Northeast  Weed Sci.  Soc.  26:176-179.

Devlin, R.M.  and S.J.  Karczmarczyk.   1975.  The influence  of norflurazon on
   chlorophyll  content and growth of  Po_tajrioget^p_n_ pectinatus.  Proc. Northeast
   Weed Sci'.  Soc. 29:118-123.

Dexter, R.W.   1944.   Ecological significance  of the disappearance of eelgrass
   at Cape Ann, Massachusetts.  J.  Midi.  Mgt. 8:173-176.

Dexter, R.W.   1950.   Restoration of the Zqs_tera_ fasciation of Cape Ann,  Massa-
   chusetts.  Ecology 31:286-288.

Dexter, R.W.   1953.   Recession of eelgrass at Cape Ann, Massachusetts.   Ecology
   34:229-231.

Dillon, C.R.   1971.   A comparative study of the primary productivity of estuarine
   phytoplankton and macrobenthic plants.   Ph.D.  Thesis, Univ. North Carolina,
   Chapel Hill. 112  pp.

Donaldson, T.W., and C.L.  Foy.  1965.  The phytotoxicity and persistence in
   soils of benzoic  acid herbicides.   Weeds 13:195-202.

Dreyer, W.A., and W.A.  Castle. 1941.   Occurrence  of the bay scallop, Pecten
   irradians.  Ecology 22(4):425-427.

Dubey, H.D.  and J.  Freeman.  1965.   Leaching  of linuron and diphenamid in soils.
   Weeds 13:360-362.

Duke, T.W.,  J.I, Lowe, and A.J. Wilson, Jr.   1970.  A polychlorinated biphenyl
   (Arcolor 1254) in the water, sediment, and biota of Escambia Bay, Florida.
   Bull. Environ. Contam.  Toxicol.  5:171-180.

Ecological Analysts, Inc.   1976.  Biological  impacts of the three offshore energy
   technolgoies, working paper 2.  JJT^  Congress of the United States Office of
   Technology Assessment.   Vol. II:  Working  papers.  Coastal effects of offshore
   energy systems:   an assessment of oil  and  gas  systems,  deepwater ports, and
   nuclear powerplants off the coast of New Jersey and Delaware. GPO.  Wash.,D.C.

El ad, D., D.V.  Rao,  and V.I.  Stenberg.   1965.  The photoanilide rearrangement.
   J. Organic Chem.  30:3252-3254.

Ellis, C., A.A. Wells, and F.F. Heyroth.   1941.  The chemical action of ultra-
   violet rays.  Reinhold Publishing  Corp., New York.

Ellis, P., R.G. Wilkins, and M.J.G. Williams.  1956.  The preparation of
   (2:4:7:9-14Ci)-l:10 phenanthrol ine and (4:4' :6:6'-lltC1 )-2:2'-dipyridyl.
   J. Chem.  Soc. pp. 3975-3977.
                                       302
 image: 








Elser, H.J.  1966.  Status of aquatic weed problems in "Tidewater Maryland"
  spring, 1965.  W. Va Pulp Paper Chem.  Div.  Taste Odor Control  J.  32(8):l-6.

Elser, H.J.  1967.  Status of aquatic weed problems in tidewater Maryland,
  spring, 1967.  Md. Dept. Ches.  Bay Affairs, Manatee Proj.,  Annapolis.
  Mimeo. 11 pp.

Elser, H.J.  1969.  Observations  on the  decline of the water  milfoil  and  other
  aquatic plants, Maryland, 1962-1967.   Hyacinth Cont.  J.  8:52-60.

Engle, M.D.  1961.  Condensing water: how does it affect the  river?  Mech.  Eng.
  83(l):34-39.

Esser, H.O., G. Dupuis, E. Ebert, C. Vogel, and G. Marco.   1975.  S-triazines.
  pp. 129-208.   lr± P.C. Kearney and D.D.  Kaufman  (eds.),  Herbicides: chemistry,
  degradation and mode of action.  Vol.  >. Me reel Dekker,  Inc.,New York.  500 pp.

Evans, J.O., and D.R.  Driseja.  1973.  Herbicide contamination of surface run-
  off waters.  EPA-R2-73-266.  Washington, D.C.  110 pp.

Evans, W.C., B.S.W. Smith, H.N. Fernley,  and J.I. Davies.   1971.  Bacterial
  metabolism of 2,4-dichlorophenoxyacetate.  Biochem. J. 122:543-551.

Farrington, J.W.  1975.  Oil pollution in the coastal environment, pp. 385-400.
  Iji U.S. Environmental Protection Agency.  Estuarine pollution control  and
  assessment:  Proceedings of a conference. Vol. 2.

Fassett, N.C.  1960.  A manual of aquatic plants.  Univ. Wisconsin Press,
  Madison.   405 pp.

Feder, W.A., and F. Sullivan.  1969.  Ozone:  depression of frond multiplication
  and floral production in duckweed, p.  185.   Jji W. A. Thomas, W.H.  Wilcox,
  and G.Goldstein.  1973.  Biological indicators of environmental quality:  a
  bibliography of abstracts.  Ann Arbor  Science Publ., Inc.,  Ann Arbor,  Mich.
  (abstr.).

Felfoldy, L.J.M.  1960.  Apparent photosynthesis of Potamogeton perfoliatus  L.
  in different depths  of Lake Balaton.  Annals. Inst. Biol.  Tihany 27:201-208.

Felger, R., and M.B. Moser.  1973.  Eelgrass (Zostera marina L.) in the  Gulf of
  California: discovery of its nutritional value by the Seri  Indians. Science
  181:355-356.

Felger, R., and C.P. McRoy.  1975.  Seagrasses as potential  food plants,
  pp. 62-74.  In G.F.  Somers (ed.), Seedbearing halophytes as food plants.
  Proc. Conf. Univ. Delaware.  Newark.

Fenwick, G.M.  Unpublished.   Survey of  the submerged vascular vegetation of
  Eastern Bay and adjacent tributaries of the Chesapeake Bay, Maryland,  June-
  September, 1976.  The Johns Hopkins Univ.,  Baltimore, MD.

Fernald, M.L.  1970.  Gray's Manual of Botany.  8th Ed.  Van Nostrand Rheinhold
  Co., New York.  1632 pp.

                                        303
 image: 








Fincher, O.D.  1976.    Final  environmental  impact statement for the  upper
  Choptank River watershed.   U.S.  Dept.  Agri.  Soil  Conserv.  Serv.  Dover,
  Delaware.

Fitzgerald,  G.P.  1969.   Some factors  in the  competition  on or antagonism among
  bacteria,  algae and aquatic weeds.   Phycol.  5:351-359.

Flemer, D.A.  1970.   Primary  productivity in  the Chesapeake Bay.   Chesapeake  Sci.
  11:117-129.

Flemer, D.A., D.H.  Hamilton,  C.W.  Keefe, and  J.A.   Mihursky.   1970.   The  effects
  of thermal loading  and water quality on estuarine production.   Rep.  Dept.
  Interior.   Univ.  Maryland CBL.   Mimeo,,

Florschutz,  0., Jr.   1969.  Determine  the importance of Eurasian  milfoil
  (Myn'ophyllum spicatum) as  a waterfowl  ood.   Rep.  Wildl.  Mgt.  Study.  Prog.
  Rept. No.  1.

Florschutz,  0., Jr.   1973.  The importance of Eurasian  watermilfoi'l  (Myriophyllum
  spicatum)  as  a waterfowl  food.   Proc.   Southeastern Assoc.  Game Fish Comm.
  Conf. 26:189-194.

Flossner, D.  1964.   Zur Cladocerenfauna des  Stechlinsee-Gebietes.   II.
  Okologische Untersuchungen  uber die  litoralen Arten.  Limnologica  2:35-103.
  (cited in  Hutchinson 1975)

Fogg, G.E.  1966.  The extracellular products of algae.   Oceanogr. Mar.  Biol.
  Ann.  Rev.   pp. 195-212.

Forsberg, C.  1964.   Phosphorous,  a maximum  factor in  the growth of Characeae.
  Nature 201-517-518.  (cited by Hutchinson 1975)

Forsberg, C.  1965.   Nutritional  studies of Chara in axenic cultures.   Physio!.
  Plant.  18:275-290.  (cited by Hutchinson 1975)

Frank,  P.A., and R.D. Comes.   1967.  Herbicide residues in pond water and hydro-
  soil.  Weeds  15:210-213.

Frank,  P.A.  and R.H.  Hodgson.  1964.   A technique for studying absorption and
  translocation in submersed  plants.   Weeds 12:80-82.

Frank,  P.A., R.H. Hodgson,  and R.D.  Comes.   1963.   Evaluation of herbicides
  applied to soil for control of aquatic weeds in irrigation canals.   Weeds
  11:124-128.

Fritsch, F.E.  1965.   The structure and reproduction of the algae, Vol.  I.
  Cambridge  Univ. Press, England.

Fry, J.C., M.P. Brooker, and  P.L. Thomas.  1973.  Changes in the microbial
  populations of a reservoir  treated with the herbicide paraquat.  Water Res.
  7:395-407.
                                      304
 image: 








Fry, J.C. and A.J.  Ramsey.   1977.   Changes in activity of epiphytic bacteria  of
  El odea canadensis and Chara vul gain's following treatment with  herbicide,
  paraquat.   Limnol.  Oceanogr.  22(3):556-562.

Fryer, J.D., R.J.  Hance, and J.D.  Ludwig.   1975.  Long term persistence of
  paraquat in a sandy loam.   Weed Res. 15:189-194.

Funderburk H.H.  1969.   Diquat and paraquat,  pp.283-298.   jn_ P.C.  Kearney and
  D.D. Kaufman (eds.),   Degradation of herbicides.   Marcel  Dekker, Inc. New
  York.   394 pp.

Funderburk,  H.H.,  and J.M.  Lawrence.   1963.  Absorption and translocation of
  radioactive herbicides in  submersed and  emersed aquatic weeds.   Weed Res.
  3:304-311.

Funderburk,  H.H.,  N.S.  Negi, and J.M. Lawrence.   1966.  Photochemical  decompo-
  sition of  diquat and  paraquat.  Weeds 14:240-243.

Gambrell, R.P., J.W.  Gilliam, and S.B. Weed.   1975.   Denitrification of the
  North  Carolina  Coastal Plain as affected by soil  drainage.   J.  Environ.
  Qua!.  4(3):311-316.

Gast, A.  1959.  Neuere Triazine.   Mededelingen  van  de Landouwhogeschool  en de
  Opzoekingstations van de  staatte aent 24:857.   (cited in Gast  1970)

Gast, A.  1970.  Use and performance of triazine herbicides and  major crops
  and major  weeds  throughout the world, pp.  11-18.   Ln_ F.A. Gunther and J.D.
  Gunther (eds.),  Residue Reviews, 32.  Springer-Verlag,  New York.

Geissbuhler, H.,  C. Haselback,  H.  Arbi, and L.  Ebner.   1963.   The fate of
  N-(4-chlorophenoxy)-Phenyl-NN-dimethylurea (C-1983)  in  soils and plants.
  Weeds  Res. 3:277-303.

Geissbuhler, H.,  H. Martin,  and G. Voss.   1975.   The substituted ureas,
  pp. 209-291.   lr\_ P.C. Kearney, and D.D. Kaufman  (eds.), Herbicides:
  chemistry, degradation, and mode of action, Vol.  1.   Marcel  Dekker,  Inc.,
  New York.   500  pp.

Gessner, F.   1955.   Hydrobotanik.   Die physiologischen grundl agencher pflanzen-
  uerbreitung im  wasser.  I.  Energie haushalt Berlin,  EB Deutscher Verlag
  der wiss enschaften.   517  pp. (cited in  Wetzel 1975)

Gilson,  H.C.  1939.  The Percy Salden Trust Expedition to Lake Titicaca in
  1937 under the  leadership  of Mr. H. Gary Gilson.   I. Description of the
  expedition.  Trans. Linnaean Soc. London 31:1-20.

Ginsburg, R.N., and H.A. Lowenstam.  1958.  The  influence of marine bottom
  communities on  the depositional  environment of sediments.  J.  GeoT.  6B:TIO-3T8.

Goering, J.J., and P.L. Parker.  1972.  Nitrogen fixation by epiphytes on
  seagrasses.  Limnol.  Oceanogr. 17:320-323.
                                        305
 image: 








Goldberg, E.D., P.  Butler,  P.  Meier,  D.  Menzel,  R.W.  Risebrough,  and  L.F.
  Stickel.  1971.   Chlorinated hydrocarbons  in  the  marine  environment.   Nat.
  Acad.  Sci, Washington,  D.C.   pp.  1-17

Good, R.  1964.  The geography of the flowering  plants.  Longman,  London.  518 pp.

Gorham,  E., and A.G. Gordon.   1963.   Some  effects of  smelter  pollution  upon
  aquatic vegetation near Sudbury,  Ontario,  p.  187.   lr± W.A.  Thomas,  W.H.
  Silcox, and G. Goldstein.   1973.   Biological  indicators  of  environmental
  quality:  a bibliography of  abstracts.   Ann Arbor Science Publ.  Inc.,  Ann
  Arbor, MI.  (Abstr.)

Goswami, P., and R.E.  Green.   1971.   Microbial  degradation of the  herbicide
  atrazine and its  2-hydroxy  analog in submerged soils.  Environ.  Sci.  Tech.
  5(5):426-429.

Grace, J.B., and L.J.  Tilly.   1976.   Distribution and abundance  of submerged
  macrophytes, including  Myriophyllum spicatum  L. (Angiospermae),  in  a
  reactor cooling  reservoir.   Arch.  Hydrobiol.  77(4):475-487.

Graham,  L., and J.  Davis.   1972.   The effects of salinity  on  the  photosynthetic
  respiration ratio of Myriophyllum spicatum.   J. Elisha Mitchell  Sci.  Soc.
  88(4):189.

Green, J.  1968.  The biology  of  estuarine animals.   Univ. Washington,  London.

Grzenda, A.R., H.P. Nicholson, and  W.S.  Cox.  1965.   The persistence  of four
  herbicides in pond water.   Proc.  Southern  Weed Conf.  18:521-529.

Guppy, H.B.  1.897.   On the postponement  of the  germination of seeds of  aquatic
  plants.  Proc. R. Phys.  Soc. Edinburgh 13:344-359.

Outsell, J.S. 1930.  Natural  history of  the  bay  scallop.  U.S. Bur. Fish.  Bull.
  46:569-632.

Gwathmey, J.H.  1945.   Potomac River cleared of  floating islands.   Md.  Conserv.
  22(l):21-23.

Gysin, H., and E.  Knusli.   1954.   (to J.R. Geigy S.A.)   Swiss Pats. 329,277,
  342,784,342,785(1954);  U.S.  Pat.  2,891,855(1955).   (cited in Esser  et al.
  1975)

Gysin, H., and E.  Knusli.   1960.   Chemistry  and  herbicidal properties of tria-
  zine derivatives.  Adv.  Pest Control Res.  3:289-358.

Hall, O.K., M. Pawlus, and E.R. Higgins.   1972.  Losses  and atrazine  in runoff
  water and soil sediment.   J. Environ.  Qua!.  1(2):172-176.

Haller,  W.T., D.I.  Sutton,  and W.C.  Barlowe.   1974.   Effects  of  salinity on
  growth of several aquatic macrophytes.   Ecology 55(4):891-894.
                                      306
 image: 








Hammer, L.  1968.  Salzgehalt und photosynthese bei  marmen pflanzen.   Ma> .  Bio!
  1:185-190.

Hance, R.J.  1967.   Decomposition of herbicides in the soil  by non-biological
  chemical processes.   J.  Sci. Food Agri .   18:544-546.

Hance, R.J.  1969.   Influence of pH, exchangeable Cation and the presence  ^'"
  organic matter on the adsorption of some herbicides by montmorillosn'te.
  Canadian J.  Soil  Sci. 49:357-364.
Hannan, H.H.   1967.   Macrophyte standing crop and metabolism in a
  temperature river.   Ph.D.  Thesis.   Oklahoma State Univ.,  Sti'Mwa'ur

Haque, R. ,  S. Lilley, and W.R.  Coshow.  1970.  Mechanism of adsorption of diouat
  and paraquat on montmorillonite surface.   J.  Colloid Interface Sd .33: ]8!5 183,

Haramis, G.M.  1977.   Vegetation survey in  cooperation with Maryland  Oepartment
  of Natural  Resources.   U.S.  Fish Wildl.  Serv.  Memo.  Laurel, MG,   4  pp.

Hardwick, J.E. 1973.   Biomass  estimates of  spawning herring CJjJjJea h
  pal las i ,  herring eggs, and associated vegetation in Tomales Bay.   Calif.
  Fish Game 59:36-61.

Hargraves,  P.E.  1965.   On the seasonal changes in plant periphytoh in a salin-
  ity gradient. M.S.  Thesis, Univ.  Rhode Island, Kingston.   121  op.

Harlin, M.M.  1971.  Translocation  between marine plants and their epiphytic
  algae.  Plant Physio! . 47 (suppl.):41.

Harlin, M.M.  1973.  Transfer of products between epiphytic marine algae and
  host plants.  J. Phycol . 9:243-248.

Harris, C.I., and G.F.  Warren.  1964.   Adsorption and desorption of herbicides
  by soil.    Weeds 12:120-126.

Harris, C.I. 1966.  Adsorption, movement and phytotoxicity of monuron and
  s-triazine herbicides  in soil.  Weeds 14:6-10.

Harris, C.I. 1967.  Movement of herbidides in soil.    Weeds 15(3) :214-216.

Harrison, P.G., and K.H. Mann.  1975.   Chemical changes during the seasonal
  cycle of growth and decay in eelgrass (Zostera marina) on the Atlantic
  Coast of Canada.  J.  Fish. Res.  Board Can. 32(5) :615~621 .

Harter, R.D., J.L. Ahlrichs.  1969.   Effect of acidity on reactions of organic
  acids and aminos with  montmorillonita clay surfaces.   Proc. Soil Sci. Soc.
  Amer. 33:859-863.

Hartog, C.  den.  1970.   The sea-grasses of the world.  Verhandel , Afd. Naturk.
  Koninklyke, Ned. Akad. Van Werenscl .   Tweede Reeks, Dul 59, No. 1.  275 pp.
                                      307
 image: 








Hartog, C.  den, and P.J,G.  Polderman.   1975.   Changes  in  the  seagrasses popula-
  tions of the Dutch Waddenzee.   Aq.  Bot.  1:141-147,

Harvey, R.G.   1974.  Soil  adsorption  and  volatility of dinitroaniline  herbicides.
  Weed Sci. 22(2):120-124.

Haven, D.S.  1961.   Eurasian watermilfoil  in  the  Chesapeake Bay and  the Potomac
  River.   Interstate Comm.  Potomac River Basin,  VIMS  Contrib. No. 108.   5  pp.

Haven, D.S.  1963.   Mass treatments with  2,4-D of milfoil  in  tidal creeks in
  Virginia.  Proc.  Southern Weed Conf.  16:345-350.

Haven, D.R.,  and M. Wass.   1963.  Summary of  the  1963  interagency  research
  meeting on  Eurasian watermilfoil, Annapolis, MD.   Mimeo. 10 pp.

Head, W.D., and E.J. Carpenter.   1975.  Nitrogen  fixation associated with the
  marine macroalgae Codium fragile.  Limnol.  Oceanogr.  20:815-823.

Heinle, D.R.   1974.  An alternative grazing hypothesis for the Patuxent estuary,
  Chesapeake  Sci. 15:146-150.

Hellebust,  J.A.  1965.  Excretion of  some organic compounds of marine  phyto-
  plankton.  Limnol. Oceangr. 10:192-206.

Henny, C.J.,  and N.E. Holgersen.  1974.   Range extension  and  population increase
  of the gadwall in eastern North America.  U.S.  Fish  Wildl.  Serv.,  Patuxent
  Wildl. Research Stat.  Reprint file.  pp. 95-101.

Hill, B.J., S.J. Blaber,and R.E. Baltt.   1975. The  limnology of  Lagoa Poelela.
  Trans. R. Soc. So. Africa 41(3):263-272.

Hill, G.D., J.W. McGahen,  H.M.  Baker,  D.W.  Finnerty, and  C.W. Bingeman.   1955.
  Agron.  J.  47:93.  (cited in Geissbuhler et al. 1975)

Hillebrand, D.  1950.  Verkrautung und Abfluss. Besond. Mitt. dt.  gewasserk.  Jb.
  2:1-30.  (cited in Sculthorpe 1967)

Hoak, R.D.   1961.  The thermal  pollution  problem. J.  Water Pollut.  Control Fed.
  33(12):1267-1276.

Hodgson, R.H., and N.E. Otto.  1963.   Pondweed growth  and response to  herbicides
  under controlled light and temperature.   Weeds  11:232-237.

Hollingsworth, E.B., and W.B. Ennis,  Jr.   1953.   Proc. Southern Weed Conf.  23.
  (cited in Kaufman 1976)

Hollis, E.H.   1952.  Variations in feeding habits of striped  bass, Roccus
  saxatilis,  in Chesapeake Bay.  Bingh. Oceanogr. Bull. 14:111-131.

Hotchkiss,  N.  1967.  Underwater and  floating-leaved plants of the United States
  and Canada.  Bureau Sport Fish. Wildl.   No. 44. Washington, D.C.  124  pp.
                                       308
 image: 








Hough, R.A.  1974.  Photorespiration and productivity in submersed aquatic
  vascular plants.  Limnol.  Oceanogr.  19:912-927.

Hutchinson, G.E.  1970.  The chemical  ecology of three species  of Myriophyllum
  (Angiospermae, Haloragaceae).   Limnol. Oceanogr.  15:1-5.

Hutchinson, G.E.  1975.  A treatise of limnology,  limnological  botany.   Vol.  Ill,
  John Wiley and Sons, New York.

Jaworski, E.G.   1975.   Chloroacetamides, pp.  349-376.  lr\_ P.C.  Kearney  and  D.D.
  Kaufman.  Herbicides: chemistry,  degradation and  mode of action.   Vol.  I.
  Marcel  Dekker, Inc., New York.   500 pp.

Jaworski, N.A., D.W.  Lear, Jr.  and  0.  Villa,  Jr.  1972.  Nutrient management
  in the Potomac estuary, pp.  246-273.  j_n G.E.  Likens (ed.),  Nutrients and
  eutrophication:  the  limiting  nutrient controversy.   Am.  Soc.  Limnol.  Oceanogr.
  Inc., Lawrence,  KA.

Jefferies, D.J., and I. Prestt.   1966.  Post-mortems  of peregrines and  lanners
  with particular reference to  organochlorine residues.  Brit.  Birds 59:49-64.

Joanen, T., and L.L.  Glasgow.   1965.  Factors influencing the  establishment of
  widgeongrass  stands  in Louisiana.  Southeastern Assoc. Game  Fish Comm.  Conf.
  19:78-92.

Johnson, T.W.,  Jr. and K.K.  Sparrow.  1961.   Fungi  in oceans and estuaries. J.
  Cramer, Weinheim.

Johnson, W.  1966.  Water milfoil disappearing in bay.   Washington Star,
  September 11.

Jones, G., and  D.R.  Cullimore.   1973.   Influence of macro-nutrients on  the
  relative growth of water plants in the Qu'Appelle lakes,  Canada.   Environ.
  Pollut. 4(4):283-290.

Jones, J.R.E.  1949.   An ecological study of  the river Rheidol: North Cardigan-
  shire, Wales.  J.  Anim. Ecology 18:67-88.

Jordan, L.S., B.E. Day, and W.A.  Clerx.  1964.  Photodecomposition of triazines.
  Weeds 12:5-6.

Jordan, L.S., J.D. Mann, and B.E. Day.  1965. Effects of ultraviolet light  on
  herbicides.  Weeds 13:43-46.

Joyner, B.G., and I.E. Freeman.   1973.  Pathogem'city of Rhizoctom'a sol am' to
  aquatic plants.   Phytopathology 63(3):681-685.

Kaufman, D.D.  1976.   Phenols,  pp.  665-707.   ln_ P.C.  Kearney and D.D. Kaufman
  (eds.j,Herbicides:  chemistry  degradation and mode of action.   Vol. 2.  Marcel
  Dekker, Inc.  New York.  475 pp.
                                      309
 image: 








Kaufman,  D,D,,  and P.C,  Kearney.   1970.   Micrpbial  degradation  of s-triazine
  herbicides, pp.  235-266.   In F.A.  Gunther,  and J,D.  Gunther (eds.),  Residue
  Reviews, 32,   Springer-Verlag,  New York.

Kearney,  P.C.,  T.J.  Sheets,  and J.W.  Smith.   1964.   Volatility  of seven
  s-triazines.  Weeds 12:83.

Kelly, W.N.   1963.  Aquatic  plants eradication:   H.R.   2992.   Daily market
  Rep. USDI, Bur.  Comm.  Fisheries, Hampton,  VA.   Feb.  5.   Mimeo.   4 pp.

Kerwin, J.A., R.E. Munro, and W.W.A.  Peterson.    1975a_.   Distribution  and
  abundance  of  aquatic vegetation in the upper  Chesapeake Bay 1971-1973,
  pp.  D1-D21.  Jm  J. Davis  (ed.), Impact of  tropical  storm Agnes  on Chesapeake
  Bay.  Chesapeake Research  Consortium.

Kerwin, J.A., R.E. Munro, and W.W. Peterson.   1975JD.   Distribution and abun-
  dance of aquatic vegetation tithe upper Chesapeake Bay 1971-1974.  U.S.  Fish
  Wildl.  Serv.  Patuxent Wildl.  Research  Sta.   Mimeo.  15 pp.

Ketchersid,  M.L.,  R.W. Bovey, and M.G. Merkle.   1969.   The detection of tri-
  fluralin vapors  from air.   Weed Sci.   17:484-485.

Khailov,  R.M.,  and Z.P.  Burlakova.  1969.  Release  of dissolved organic matter
  by marine  seaweeds and distribution of their  total  organic production to
  inshore communities.  Limnol. Oceanogr. 14:521-527.

Kikuchi,  T.   1966.  An ecological study  on  animal  communities of the Zosjera
  marina_ belt, in Tomioka Bay, Amakusa,  Kyushu,  Pub!.  Amakusa Mar. Biol. Lab.
  1:1-106.

Kikuchi,  T.   1968.  Faunal  list of the Zostera  marina belt in Tomioka  Bay,
  Amakusa, Kyushu.  Publ. Amakusa Mar. Biol.  Lab.  1:163-192.

Kikuchi:  T.   1974a_.   Marine  submerged vegetation in Seto Naikai,  Nansei  Re.
  Fish Res.Lab. Japanese Fishery Agency, Hiroshima, original  text.  39 pp.

Kikuchi;,  T.   1974b_.   Japanese contributions  on  consumer ecology in eelgrass
  (Zoscera rnarina  L.) beds,  with special reference  to trophic relationships
  and resources in inshore fisheries. Aquaculture  4:145-160.

Kikuchi,  T., and J.M. Peres.  1977.   Consumer ecology of seagrass beds,
  pp.  147-193.   _In_ C.P.  McRoy and C.  Helfferich (eds.), Seagrass Ecosystems:
  a scientific  perspective.   Marcel  Dekker,  Inc. New York.

Kirby, A.H.M.  1966.  Dinitroalkylphenols:  versatile agents for control of
  agricultural  pests and diseases.  World Rev.  Pest Control 5:30-44.

Klausner, S.D., P.J. Zwerman, and D.F.  Ellis.  1974.   Surface runoff losses
  of soluble nitrogen and phosphorous under two systems of soil management,
  J. Environ. Qua!.  3(1).-42-46.
                                      310
 image: 








Klingman, D.L,  1962.   Weed Society of America, Terminology Committee report.
  Weeds 10(3):255-271.

Klokov, V.M., and L.N.  Zimbalevskaya.   1974.   Productivity of higher aquatic
  vegetation and total  amount of phytophilous invertebrates in the Kiliyskaya
  Delta of the Danube.   Hydrobiol.  J.  10(l):60-62.

Knight, B.A.G., and P.J. Denny.  1970.   The interaction of paraquat with  soil:
  adsorption by an expanding lattice clay mineral.   Weed Res.  10:40-48.

Knowles, E.   1976.   A  simple diagnostic model  to determine the feasibility of
  salinity control of Eurasian watermilfoil.   Sea Grant UNC-SG-76-97.  Raleigh.
  23 pp.

Kogan, S.I., and G.A.  Chinnova.   1972.  Relations between Ceratophyllum
  demersum and some blue-green algae.   Hydrobiol.  J.  8(5):14-19.

Kolessar, M.A.  1967.   Aquatic plants  in Maryland—a growing menace.  Proc.
  Amer. Society Civil  Eng.  93(WW3):l-7.

Kopp, J.F. and R.C. Kroner.  1968.   Trace metals in waters of the  United States
  Federal Water Pollution Control  Admin. Cincinnati, Ohio, (cited  in Schroeder
  1977).

Krausch, H.D.  1976.    The  macrophytes of the middle course of the Saale River
  East Germany and their biomass.   Limnologica 10(l):57-72.

Krecker, F.H.  1939.  A comparative study of  the animal populations of certain
  submerged aquatic plants.  Ecology 20(4)-.553-562.

Kries, O.K.   1947.  Bot, Gaz. 108:510. (cited in Loos  1969)

Lambert, S.M., P.E. Porter, and  R.H. Schieferstein.  1965.  Weeds  13:185.
  (cited in Weber 1972)

Lamoureux, W.J.  1957.   Aquatic  plants for fish and wildlife.   Toronto Anglers
  Hunters Assoc., Canadae28 pp.

Langlois, G.A.  1975.   Effect of algal exudates on  substratum selection  by
  motile telotrochs of  the  marine peritrich ciliate Vorticella marina^
  J. Protozoology 22(1):115-123.

Lap pal ai>er), A.  197?   Riotic fluctuations in a Zostera marina community.
  OIKOS 15(suppl.):74-80.

Lappalainen, A., and P. Kangas.   1975.  Species diversity of macrofauna  in a
  Zostera marina community  in Tvarminne, S. Finland Merentutkimuslait.
  Julk/Havsforskningsisnt.  Skr.  No. 239:316-324.

Lathwell D.H., H.F. Mulligan, and D.R. Bouldin.  1969.  Chemical properties,
  physical properties and plant  growth in twenty artifical wildlife marshes.
  Fish and Game J. 16:158-183.
                                     311
 image: 








Lawrence, J.M.   1965.   Graphic presentation  of  aquatic  herbicide  data.   Proc.
  Southern Weed Conf.  18:568-573.

Lawrence, G.M.   1968.   Dynamics of chemical  and physical  characteristics  of
  water bottom muds and aquatic life in a  large impoundment  on  a  river.  Agr.
  Exp. Sta. Auburn Univ. Auburn, Alabama Zool.  Ent.  Dept.  Series,  Fisheries
  No. 6.

Lawrence, J.M., and E.B. Hollingsworth. 1969.   Aquatic herbicide data.
  Supplement.   Agricultural  handbook 231.  Washington,  D.C.

Lee, C.R., T.tp. Sturgis and  M.C. Landin.  1976.   A  hydroponic study of  heavy
  metal uptake by selected marsh plant species.   Tech.  Rept. D-76-5.  U.S.
  Army Engineer Waterways Experiment Station.   Vicksburg,  MS.

Leitis, E., and D.G.  Crosby.  1974.   Photodecomposition of trifluralin.   J.
  Agri. Food Chem. 22(5):842-848.

Levins, R.  1966.  The strategy of model building in population biology.   Amer.
  Scientist 54-421-431.

Levins, R.  1973.  The limits of complexity, pp.  109-127.  _In H.H.  Pattee
  (ed.) Hierarchy theory: the challenge of  complex systems.    George
  Braziller, New York.

Levinton, J.S.   1977.   Ecology of shallow  water deposit feeding communities,
  Zuisset Harbor, Mass,, pp. 191-227.   In_  B.C.  Coull (ed.),  Ecology of  marine
  benthos.  Univ. South Carolina Press, Columbia.

Levinton, J.S.  and R.K. Bambach.  1975. A comparative  study of Silurian and
  recent depolsit feeding bivalve communities.   Paleobiol.  1(1):97-124.

Lincoln,  F.C.   1953.   Migration routes and flyways, pp. 47-53.   In F.H.
  Kortright (ed.), The ducks, geese and swans of North  America.  Telegraph
  Press,  Harrisburg,  PA.

Lind, C.T., and G. Cottam. 1969.  The submerged aquatics of  University  Bay;
  a study in eutrophication.  Amer.  Midi.  Natur.  81(2):353-369.

Linduska, J.P.,  ed.    1964.  Waterfowl tomorrow.   U.S. Dept.  Interior,  Fish
  Wild!.  Serv.  Washington, D.C.  770 pp.

Linn, J.G., Ej.J. Staba, R.D. Goodrich, and J.C.  Meiske.  1972.  Composition
  and digestibility of aquatic plants.  J. Anim.  Sci.  35(5):1114.

Linn, J.G., R.D. Goodrich, D.E. Otterby, J.C. Meiske,  and E.J.  Staba.   1975.
  Nutritive \[alue of dried or ensiled aquatic plants.   Part  II: digestibility
  by sheep.  J. Anim.  Sci. 41(2):610-615.

Lippson,  A.J.  ed.  1973.  The Chesapeake Bay in Maryland:  an atlas of natural
  resources.  The Johns Hopkins Univ.  Press. Baltimore, MD.
                                      312
 image: 








Lippson, R.L.  1970.  Blue crab study in Chesapeake Bay,  Maryland.   Univ.
  Maryland,  NRI Ref. No. 70-46.

Little, E.C.S., ed.  1968.  Handbook of utilization of aquatic plants.   FAO,
  Rome.

Lohammar, G.  1965.  The vegetation of Swedish lakes.   Acta Phytogeogr.  Suec.
  50:28-48.

Longwell, J.R., and V.D. Stotts.  1958.  Some observations on the recovery of
  diving ducks banded in the Maryland portion of Chesapeake Bay.   Southeastern
  Assoc. Game Fish Comm. Conf. 12:285-291.

Loos, M.A.  1969.  Phenoxyalkanois acids, pp. 1-49.  Ir± P.C.  Kearney and D.D.
  Kaufman (eds.), Degradation of herbicides.   Marcel Dekker,  Inc.,  New  York.
  394 pp.

Love, A.  1961.  Some notes on Myriophyllum spicatum.   Rhodora 63:139-145.

Lumsden, R.D., D.E. Ellis, and J.L. Sincock.   1963.  A survey of fungi  associ-
  ated with lesioned and chlorotic sago pondweed (Potamogeton pectinatus).
  Plant Disease Rep. 47(7):689-693.

Lunney, C.A., G.J. Davis, and M.N. Jones.  1975.  Unusual structures associated
  with peripheral reticulum in chloroplasts of Myriophyllum spicatum.
  J. Ultrastructure Res. 50(2):293:296.

Mackin, J.G.  Unpublished.  Eelgrass disease.  A review of the literature.
  Virginia Inst. Mar. Sci.  Mimeo. 13 pp.

Malquori, A., and L. Radaelli.  1966.  Ric. Sci. 36:1094.  (cited in Calderbank
  and Slade 1976)

Manning, J.H.  1965.  The Maryland soft shell clam industry and its effects
  on tidewater resources.  Univ. Maryland CBL Ref. No. 11. 25 pp.

Marsh, G.A.  1970.   A seasonal study of Zostera epibiota in the York River,
  Virginia.  Ph.D. Thesis.  College of William and Mary,  Williamsburg.   155 pp.

Marsh, G.A.  1973.  The Zostera epifaunal community in the York River,  Virginia.
  Chesapeake Sci. 14(2):87-97.

Marsh, G.A.  1976.  Ecology of the gastropod epifauna of eelgrass in a  Virginia
  estuary.  Chesapeake Sci. 17:182-187.

Marshall, N.  1947.  An abundance of bay scallops in the absence of eelgrass.
  Ecology 28(3):321-322.

Marshall, N.  1960.  Studies of the Nantic River, Connecticut, with special
  reference to the bay scallop, Aequipecten irradians.  Limnol. Oceanogr.
  5(1):86-105.
                                       313
 image: 








Marshall, S.M., and A.P.   Orr.   1948.   Further experiments  of  the  fertilizaion
  of a sea loch (Loch Craig!in):  the  effect of different  plant nutrients  on
  the phytoplankton.  J.  Mar.  Biol, Assoc,  U.K.  7:360-379.

Martin, A.C., and P.M.  Uhler.   1939.   Food  of game  ducks  in the United  States
  and Canada.  U.S. Dept.  Agr.  Tech.  Bull.   634.  Washington,  D.C.   308 pp.

Martin, A.C., H.S.  Zim, and A.L.  Nelson.  1951.   American wildlife and  plants,
  a guide to wildlife food habits.  Dover Publ.,  Inc.,  New  York. 474 pp.

Maryland Department of Agriculture, Division of Inspection  and Regulation.
  1963-1977.  Maryland agricultural liming  facts.   College  Park, MD.  Mimeo.

Maryland Department of Agriculture, Division of Inspection  and Regulation.
  1971-1977.  Maryland fertilizer facts.  College Park, MD.  Mimeo.

Maryland Department of State Planning.   Unpublished data  sheet. Maryland
  population—resource dynamics:  selected statistics,  1900-2000.

Maryland Department of Tidewater Fisheries.  1954.   The lives  and  loves of
  of Chesapeake Bay blue crab.   The Compass.  3:12.

Maryland Department of Tidewater Fisheries.  1955.   Water chestnut blight
  threatens. The Compass.   4(1):1-2.

Mason, H.L.  1969.   A flora of the Marshes  of California.  Univ. California
  Press.

Matthews, E.D.   1963.  Soil survey of Dorchester County,  Maryland.   U.S.  Dept.
  Agric,, Washington, D.C.  Series 1959.  No. 26.

McAtee, W.L. 1911.   Three important wild duck foods.  U.S. Bur.  Biol.  Survey
  Circ. 81.  19 pp.

McAtee, W.L. 1915.   Eleven important  wild duck foods.   U.S.  Dept.  Agr.  Bull.
  205.  26 pp.

McCann, C.  1945.  Notes on the genus Ruppia (Ruppiaceae).   J. Bombay  Nat.  Hist.
  Soc. 45:396-402.

McCombie, A.M., and I.  Wile.   1971.   Ecology of aquatic vascular plants in
  southern Ontario  impoundments.   Weed Sci  19:225-228.

McCracken, M.D., M.S. Adams, J. Titus, and  W. Stone.   1975.  Diurnal  course  of
  photosynthesis in Myriophyllum spicatum and Qedogonium.   OIKOS  26(3):355-361.

McGahee, C.F., and  A.J. Davis.   1971,   Photosynthesis  and respiration in
  Myriophyllum spicatum L. as  related to salinity.   Limnol.  Oceanogr.
  16(5):826-829.

McGlamery, M.D., and F.W.  Slife.   1966.  The adsorption and desorption  of
  atrazine in soil  as affected by pH, temperature and  concentration.   Weeds
  14:237-239.

                                       314
 image: 








Mclntosh, A.  1974.  Notes on the use of copper sulfate in ponds.   Environ.
  Contam. Toxicol.  Bull, 12(4)425-432.

McMillan, C.  1974.  Salt tolerance of mangroves and submerged aquatic plants,
  pp. 379-390.  Iji  R.J.  Reimold and W.H. Queen (eds.), Ecology of  halophytes
  Academic Press, New York.

McRoy, C.P.  1966.   Standing stock and ecology of eelgrass (Zostera marina L.)
  in Izembek Lagoon, Alaska.  M.S. Thesis, Univ. Washington,  Seattle.   138 pp.

McRoy, C.P.  1968.  The distribution and biogeography of Zostera marina  (eelgrass)
  in Alaska.  Pacific Sci. 22:507-513.

McRoy, C.P.  1969.   Eelgrass under Arctic winter ice.  Nature 224:818-819.

McRoy, C.P.  1970a_.  Standing stocks and other features of eelgrass (Zostera
  marina) populations on the coast of Alaska.   J. Fish. Res.  Bd.  Canada
  27:1811-1821.

McRoy, C.P.  1970bK  On the biology of eelgrass in Alaska.  Ph.D.  Thesis, Univ.
  Alaska, College.

McRoy, C.P., and R.J. Barsdate.  1970.  Phosphate absorption  in eelgrass.
  Limnol. Oceanogr. 15(1):6-13.

McRoy, C.P., R.J. Barsdate, and M. Nebert.  1972.  Phosphorus cycling  in an
  eelgrass (Zostera marina L.) ecosystem.   Limnol. Oceanogr. 17:58-67.

McRoy, C.P., and J.J. Goering.  1974.  Nutrient transfer between the seagrass
  Zostera marina and its epiphytes.  Nature 248:173-174.

McRoy, C.P., J.J. Goering, and B. Chaney.  1973.  Nitrogen fixation associated
  with seagrasses.   Limnol. Oceanogr. 18:998-1002.

Metcalf, E.P.  1931.  Wild duck foods of North Dakota lakes.   U.S. Dept. Agri.
  Tech. Bull. 221.   71 pp.

Muenscher, W.C.  1936.  Storage and germination of seeds of aquatic plants.
  Cornell Univ. Agri. Exp. Sta. Bull. 652.

Meyer, B.S., F.H. Bell, L.C. Thompson, and E.I. Clay.  1943.   Effect of depth
  emersion on apparent photosynthesis in submerged vascular aquatics.   Ecology
  24(3):393-399.

Migula, W.  1909.  Kryptogamen-Flora von Deutschland Osterreich und Schweiz.  II.
  Algen, 2.  Teil Rhodophyceae, Phaeophyceae, Characeae.  Gera, F. von
  Zezschwitz.  383 pp.  (cited in Hutchinson 1975)

Mihursky, J.A.  1967.  On possible constructive uses of thermal additions to
  estuaries.  Bio.  Sci. 17(10):698-702.
                                       315
 image: 








Mihursky, 0,A,  1969a,  Thermal  loading;  new threat to  aquatic life.   Catalyst
  2(3):6-9.

Mihursky, J,A.  1969JD.  Patuxent thermal  studies,  summary and  reconmedations.
  Univ. Maryland CBL Ref.  No.  69-2.

Mihursky, J.A., and I.E. Cronin.  1974.   Balancing needs  of fisheries  and energy
  production.  38th North  American Wildl.  Conf.  549:459-476.

Mihursky, J.A., A.J. McEarlean,  and V.S.  Kennedy.   1970.   Thermal  pollution,
  aquaculture and pathobiology in aquatic systems.  J.  Wildl.   Diseases
  6:347-355.

Mihursky, J.A., A.J. McEarlean,  V.S.  Kennedy, and  W.H.  Roosenburg.   1970.
  Regional planning and the Chesapeake Bay environment; an ecological  approach.
  Proc. New England Coastal Zone Mgt.  Conf.  pp.  47-74.

Mihursky, J.A., and J.B. Pearce.  1969.   Introduction.  Chesapeake Sci.
  10(3-4):125-127.

Miller, J.H., P.E. Keeley, C.H.  Carter,  and R.J. Thullen.   1975.   Soil  persis-
  tence of trifluralin, benefin  and nitralin.   Weed Sci  23:211-214.

Milne, L.J., and M.J. Milne.   1951.   The  eelgrass  catastrophe.  Sci. Amer.
  184:52-55.

Misra, R.D.  1938.  Edaphic factors in the distribution of aquatic plants in
  the English Lakes.  J. Ecology 26:411-451.

Misra, M.P.  1972.  Cytological  studies  in some  Indian  Potamogeton and
  Aponogeton species.  Bull.  Bot. Soc. Bengal 26(1-2):47-52.

Mitchell, D.S., ed.  1974.  Aquatic vegetation and its  use and control.   UNESEO,
  Paris.  134 pp.

Mitchell, J.W., and P.C. Marth.   1946.  Germination of  seeds in soil containing
  2,4-dichlorophenoxyacetic acid.  Bot.  Gaz. 197:408-416.

Moffitt, J., and C. Cottam.  1941.  Eelgrass depletion  on the  Pacific  Coast and
  its effect upon black brant.  U.S.Fish  Wildl.  Serv. Leaflet  No.  204.

Molinier,  R., and J. Picard.   1952.   Recherches sur les  herbiers  de phanerogames
  marines du littoral Mediterranean Francois. Ann. Inst.  Oceanogr. 27:157-234.

Molnar, J.  1935.  Compt.  Rend.  201:1482.   (cited  in Kaufman 1976)

Morales, R.  1972.  Models: 1. Limnol. Oceanogr. 17:499.

Moulton, M.P.  1971.  An inquiry into the use of plastic  "grass" as a substitute
  for Thalassia.  M.S. Thesis.  Florida State Univ. Tallahassee.   121  pp.
                                        316
 image: 








Mulhern, B.M., W.L. Reichel, L.N.  Locke, T.A.  Lament,  A.  Belisle,  E.  Cromartic,
  A.E. Bagley, and R.M.  Prouty, 1970.   Organochlorine  residues  and autopsy
  data from tjald eagles  1966-1968.  Pestic. Monit.  J.  4:141-144.

Mulligan, H.F., A. Baranowski, and R.  Johnson.   1976.   Nitrogen and phosphorous
  fertilization of aquatic vascular plants and algae in replicated ponds,  1:
  initial response to fertilization.   Hydrobiologia 48(2):109-116.

Munro, R.E.   1976a.   Distribution and abundance of submerged aquatic vegeta-
  tion in th4 upper Chesapeake Bay--1975 compared with 1971-1974.    U.S.  Fish
  Wildl. Senj. Patuxent  Wildl. Research Sta.,  Laurel,  MD.  Mimeo 8 pp.

Munro, R.E.  1976b_.  Distribution  and  abundance of submerged aquatic vegetation
  in the uppeY Chesapeake Bay--1976 compared with 1971-1975. U.S.  Fish Wildl.
  Serv. Patuxent Wildl.  Research Sta., Laurel,  MD.   Mimeo.  7 pp.

Nagle, J.S.  1968.  Distribution of the epibiota of macrobenthic plants.   Contr.
  Mar. Sci., Univ. Texas 13:105-144.

Nash, C.B.  1947.  Environmental characteristics of a  river estuary.   Univ.
  Maryland CB|L Ref. No.  64.

Naylor, E.  1965.  Effects of heated effluents upon marine  and  estuarine organ-
  isms.  Advj Mar. Biol. 3:63-103.
Nearpass, D.(
   1965.  Effects of soil acidity on the adsorption penetration
  and persistence of simazine.  Weeds 13:341-346.

Needham, J.G., and J.T. Loyd.  1930.  The life of inland waters.   Charles  C.
  Thomas, Springfield, 11.

Needham, P.R<  1938.   Trout streams.  Comstock Publ.  Co., Ithica, New York.
Nelson, J.W..
  compositior
  plants.  Ur
 and L.S. Palmer.  1939.  Nutritive values of general chemical
 of species of El odea, Myriophyllum, Vallisneria and other aquatic
n'v. Minnesota Agri, Exp. Sta. Tech. Bull. 136:1-34.
Newbold, C.  1975.  Herbicides in aquatic systems.   Biol.  Conserv.  7(2):97-118.

Newman, J.F.^ and J.M. Way.  1966.  Proc. Brit.  Weed Contr.  Conf.  p.  582.
  (cited in Weber 1972)

Newroth, P.R.  1977.  Memorandum to concerned parties-aquatic weed management
  programme, Okanagan Basin, 1977-1978.  Ministry Environ. Victoria,  BC.  6 pp.

Nichols, S.A.  1975.  Identification and management of Eurasian watermilfoil
  in Wisconsin. Trans. Wis. Acad. Sci. Arts Letters 63:116-128.

Nicholson, S,A., and L.W. Post.  1975.  Ash content of macrophytes from
  Chautauqua Lake, N.Y. Ohio J. Sci 75(1)1:29-32.

Nikles, E., and L. Ekner. 1963.  (to Ciba) Swiss Pat. 480,793;BE656,233;
  NE6,413,689, (1963).  (cited in Esser et al. 1975)

                                      317
 image: 








Nilsson, L.   1969.   Food consumption  of diving  ducks  wintering  at  the  coast  of
  South Sweden in relation to food resources.   OIKOS  20:128-135.

Nimmo, D.R., A.J. Wilson, Jr.,  and R.R.  Blackman,   1970.   Localization of  DDT
  in the body organs of pink and white  shrimp.   Bull.  Environ.  Contam.  Toxicol.
  5:333-340.

Nixon, S.W., and C.A.  Oviatt.  1972.  Preliminary  measurements  of  midsummer
  metabolism in beds of eel grass, Zostera  mari na.   Ecology 53(1):150-153.

Norton, 0.,  and 0.  Ellis.  1976.  Management  of aquatic  vegetation with sima-
  zine.  Proc. Southern Weed Sci. Soc.  29:359-364.

Odum, E.P.   1961.  The role  of tidal  marshes  in estuarine  production.   N.Y.  State
  Conserv.  15:12-15.

Odum, E.P.   1971. Fundamentals  of ecology.  W.B. Saunders Co., Philadelphia,  PA.
  574 pp.

Odum, H.T.   1972. An energy  circuit language  for ecological  and social  systems:
  its physical basis,  pp. 139-211.   IJT_  B.  Patten (ed.),  Systems analysis and
  simulation in ecology.  Vol.  II.  Academic Press,  New York.  592  pp.

Odum, H.T.,  and C.M. Hoskin.  1958.  Comparative studies on  the metabolism of
  marine waters.  Pub!. Inst. Mar.  Sci.  (Texas) 5:16-46.

Odum, H.T.,andR.F. Wilson.   1962.    Further  studies  on  reaeration and metabolism
  of Texas  bays, 1958-1960.   Pub. Inst.  Mar.  Sci.  (Texas)  8:23-55.

Odum, W.E.   1970.  Pathways  of energy flow in a south Florida estuary.  Ph.D.
  Thesis.  Univ. Miami, FL.   162 pp.

Ogata, E.,  and T. Matsui.  1971.  Photosynthesis in several  marine plants  of
  Japan as  affected by salinity, drying and pH  with attention to their growth
  habitats.   Bot. Mar. 8:199-217.

Ogden, E.G.   1943.   The broad-leaved species  of Potampgeton  of  North America
  and Mexico. Rhodora 45:57-105, 119-216.

Olsen, C.  1950.  The significance of concentration for  the  rate of  ion absorp-
  tion in higher plants in water culture.   Physiol. Plant. 3:152,.

O'Neill, R.V.  1975.  Management of large  scale environmental modelling projects,
  pp. 251-282.  Ijn C.S. Russell (ed.),  Ecology  modelling in  a resource manage-
  ment framework.  The Johns Hopkins  Univ.  Press,  Resources  for the  Future,
  Inc., Washington, D.C.

Orth, R.J.   1971.  Benthic infauna of eel grass, Zostera  marina, beds.   M.
  Thesis.  Univ. Virginia, Charlottesville.  79 pp.

Orth, R.J.   1973.  Benthic infauna of eelgrass, Zostera  marina, beds,  Chesapeake
  Sci. 14(4):258-269.
                                     318
 image: 








Orth, R.J. 1975^.  Destruction of eelgrass,  Zostera marina,  by the cownose ray,
  Rhinoptera bonasus, in the Chesapeake Bay.   Chesapeake Sci.  16:206-208.

Orth, R.J.  1975lb.  The role of disturbance  in an eelgrass,  Zostera marina
  community.  Ph.D. Thesis.  Univ.  Maryland,  College Park.

Orth, R.J.  1976.  The demise and recovery of eelgrass, Zostera marina,  inthe
  Chesapeake Bay, Virginia. Aq. Bot.  2:141-159.

Orth, R.J.  1977a..  The effect of Hurricane  Agnes on the benthic fauna of  eel-
  grass, Zostera marina, in the lower Chesapeake Bay, pp.  566-583.  J^n J.  Davis,
  and B. Laird (coordinators).  The effects  of Tropical Storm  Agnes on the
  Chesapeake Bay estuarine system.   The Johns Hopkins University Press,  Baltimore,
  MD.

Orth, R.J.  1977b_.  The importance  of sediment stability in  seagrass communities,
  pp. 281-300.  In B.C. Coull (ed.),  Ecology of marine benthos.  Univ. South
  Carolina Press, Columbia.

Orth, R.J. (in press) Effect of nutrient enrichment on the growth of eelgrass,
  Zostera marina, inthe Chesapeake  Bay, Virginia. Mar. Biol.

Orth, R.J., and H. Gordon.  1975.  Remote sensing of submerged aquatic vegetation
  in the lower Chesapeake B ay, Virginia: final  report to National Aeronautics
  and Space Administration.  NASA-10720.  62 pp.

Ostenfeld, C.H.  1905.  Preliminary remarks  on the distribution and the biology
  of the Zostera of the Danish Seas.  Botanisk Tidsskrift 27:123-125.

Ostenfeld, C.H.  1908.  On the ecology and distribution of the grass wrack
  (Zostera marina) in Danish waters.   Rept.  Danish Biol. Sta.  No. 16.  62  pp.

Ostenfeld, C.H.  1918.  Report on the Danish oceanographical  expeditions 1908-
  1910 to the Mediterranean and adjacent seas.  Biology 2:16.

Osterhaut, W.J.V.  1906.  On the importance  of physiologically balanced soil
  for plants.  Bot. Gaz. 42:127-134.

Osterhaut, W.J.V.  1917.  Tolerance of fresh water by marine plants and its
  relation to adaptation.  Bot. Gaz.  63:146-149.

Otsuki, A., and R. Wetzel.  1972.  Coprecipitation of phosphate with carbonates
  in a marl lake.  Limnol. Oceanogr.  17:763-766.

Otsuki, A., and R. Wetzel.  1973.  Interaction of yellow organic acids with
  calcium carbonates in fresh water.   Limnol. Oceanogr. 18:490-493.

Overton, S.W.  1975.  The ecosystem modelling approach in the  coniferous forest
  biome, pp. 117-138.  _In B.C. Patten (ed.),  Systems analysis  and simulation
  in ecology, Vol. 3.  Academic Press, New York.
                                       319
 image: 








Owens, M., M.A.  Learner,  and P,J.  Maris.   1967.   Determination of  the  biomass
  of aquatic plants using an optical  method,   J,  Ecology   55:671-676.

Paar, J.F., and  J,  Smith.  1973.   Soil  Sci.  115:55.   (cited  in Probst  et al.
  1975)

Palmer, R.D., and C.D.  Grogan.   1968.   Tolerance  of  corn  lines to  atrazine  in
  relation to content of  benzoxazinone  derivatives,  2-glucoside.   Weeds 3:219-222.

Parka, S.J., and J.B. Tepe.   1969.   The disappearance of  trifluralin from field
  soils.  Weed Sci. 17:119-123.

Parker, B.W.  1965.  Minutes.   3rd Annual  Conf. Patuxent  Estuary Studies. Univ.
  MarylandCBLRef.  No.  65-23.

Parochetti, J.V., G.W.  Dec,  Jr.,  and G.W.  Burt.   1976.  Volatility of  eleven
  dinotroaniline herbicides.  Weed Sci. 24:529-532.

Patrick, W.H., and I.e. Mahapatra.   1968.   Transformation and availability  to
  rice of nitrogen and phosphorus in waterlogged  soils.   Adv. Agron. 20:323-359.

Patriquin, D.G., and R.  Knowles.   1972.   Nitrogen fixation  in the rhizosphere
  of marine angiosperms.   Mar.  Biol.  16:49-58.

Patten, B.C., Jr.  1955.   Germination of  the seed of Myriophyllum  spicatum  L.
  Bull. Torrey Bot. Club  82(l):50-56.

Patten, B.C., Jr.  1956.   Notes  on the  biology of Myriophy11 urn spicatum L.  in
  New Jersey lake.   Bull. Torrey Bot. Club 83(1):5-18.

Patten, B.C.  1971. A primer for ecological  modelling and simulation with analog
  and digital computers,  pp. 3-102.  Jji B.C.  Patten  (ed.), Systems analysis and
  simulation in  ecology,  Vol.  I.  Academic Press,  New York.

Pearsall, W.H.  1920.  The aquatic vegetation of  the English lakes.  J. Ecology
  8:163-201.

Pearsall, W.H.,  and A.M.  Hanby.   1925.  The variation of  leaf form in  Potamogeton
  perfoliatus.  New Phytol.  24:112-120

Pearsall, W.H.,  and W.H.  Pearsall.   1923.   Potamogeton  in English  lakes.  J.
  Botany 61(2):l-7.

Peltier, W.H., and E.B.  Welch.   1969.  Factors affecting  growth of rooted
  aquatics in a  river.    Weed Sci.  17(4) .-412-416.

Penfound, W.T.  1956.  Primary production of vascular aquatic plants.  Limnol.
  Oceanogr. 1:92-101.

Penhale, P.A.  1976.  Primary productivity, dissolved organic carbon excretion,
  and nutrient transport in an epiphyte-eel grass  (Zostera marina)  system.
  Ph.D. Thesis,  North Carolina State Univ., Raleigh.


                                       320
 image: 








Penhale, P.A.  1977.   Macrophyte-epiphyte biomass and productivity in an eelgrass
  (Zostera marina L.) community.   J.  Exp. Mar.  Biol.  Ecology 26:211-224.

Perry, M.C.  1977.   Population trends of wintering waterfowl in Chesapeake Bay.
  U.S. Fish Wildl.  Serv.  Patuxent Wild!.  Research Sta, Laurel,  MD.   Mimeo.  3  pp.

Perry, M.C., R.  Andrews,  and P.P. Beaman.  1976.   Distribution  and abundance of
  canvasbacks in Chesapeake Bay in relation to  food organisms.   Presentation,
  Atlantic Estuarine  Research Society, Cape May,  NJ.   11  pp.

Petersen, C.G.J.   1913.   On baendeltangens (Zostera marina)  aarsproduktion i de
  Danske Farvande.   Mindeskrift Japetus Steenstrup.  Copenhagen.

Petersen, H.E.   1933.  Wasting disease of eelgrass (Zostera  marina).   Nature
  132:1004.

Petersen, H.E.   1934.  Wasting disease of eelgrass (Zostera  marina).   Nature
  134:143-144.

Peterson, G.E.   1967.  The discovery  and development of 2,4-D.   Agri. History
  41:243-254.

Petkova, L.M.,  and  I.P.  Lubyanov.  1969.   Konsentratsiia  deiabykh mikroelemnitiv
  u makrofitiv  vodoim stepvoi zony Ukrainy.  Ukr. Bot. Zh.  26:90-96.   (cited
  in Hutchinson 1975)

Peverly, J.H. and T.W. Crawford,  Jr.   1975.  Glyphosphate as an herbicide for
  2 submerged aquatic species.  Proc. Northeast Weed Sci. Soc.  29:102-107.

Pfitzenmeyer, H.T., and K.G. Drobeck.  1964. The occurrence of the brackish-
  water clam.  Rangia cuneata, in the Potomac River, Maryland.   Chesapeake Sci.
  5(4):209-212.

Philip, G.  1936.  An enhalid plant association in the Humber estuary.   J. Ecol.
  24:205-219.

Philipp, C.C.,  and  R.G.  Brown.  1965.  Ecological studies of transition-zone
  vascular plants in  the South River, Maryland.  Chesapeake  Sci.  6(2):73-81.

Phillips, R.C.   1972.  Ecological life history  of Zostera marina L. (eelgrass)
  in Puget Sound, Washington.  Ph.D.  Thesis, Univ. Washington,  Seattle.   154 pp.

Phillips, R.C.   1974_a.  Temperate grass flats,  pp. 244-299.   ln_ H.T.  Odum, B.J.
  Copeland, and E.A.  McMahan.  Coastal ecological systems of the United  States,
  Vol. 2, Conserv.  Found., Washington, D.C.

Phillips, R.C.   1974J).  Transplantation of seagrasses, with  special emphasis on
  eelgrass, Zostera marina L. Aquaculture 4:161-176.

Phillips, R.C.   1976.  Preliminary observations on transplanting and a pheno-
  logical index of  seagrasses.  Aq. Bot.  2:93-101.
                                       321
 image: 








Phillips,  R.C.,  and S.  Grant.    1965.   Environmental effect on  Phyllospadix
  scouleri  and Zostera  marina  leaves.  Amer.  J.  Bot. 52:644.

Pionke,  H.B., and G.  Chesters.   1973.   Pesticide-sediment  interactions.   J.
  Environ.  Qua!.  2(l):29-45.

Pokorny, K.S.  1967.   Labyrinthula.   J.  Protozool.  14:697-708.

Pomeroy, L.R., E.E. Smith,  and C.M.  Grant.   1965.  The  exchange of  phosphorus
  between  estuarine water and  sediments.   Limnol. Oceanogr. 10:167-172.

Pond, R.H.   1905.  The  relation of aquatic plants to the substratum (contribu-
  tions  to  the biology  of the  Great Lakes).   Rep. U.S.  Fish Comm. 21:483-526.

Porsch,  0.   1905.  Der  Spaltoffnungsapparat im  Lichte der  Phylogenie.   Jena.
  (cited in Sculthorpe  1967)

Porsild, A.E.  1932.   Notes on the occurrence of Zostera and  Zannichellia in
  arctic North America.  Rhodora 34:90-94.

Posluszny,  U., and R.  Sattler.   1976.   Floral development  of  Zannichellia
  palustris.   Canadian  J. Bot.  54:651-662.

Postma,  H.   1967.  Sediment transport and sedimentation in the  estuarine  environ-
  ment,  pp. 158-179.  J_n G.H.  Lauff (ed.),  Estuaries. American  Association for
  the Advancement of Science,  Washington, D.C.

Probst,  G.W., T.  Golab, and W.L. Wright.   1975.  Dinitroanilines, pp.  453-500.
  ln_ P.C.  Keiarney and D.D.  Kaufman.   Herbicides: chemistry, degradation and
  mode of  action, Vol.  1.  Marcel  Dekker, Inc.,  New York.  500  pp.

Probst,  G.W., T.  Golab, R.J.  Herberg, F.J.  Holzer, S.J.  Parka,  C. Van  Der Schans,
  and J.B.  Tepe.   1967.  Fate  of trifluralin in soils and  plants.   J.  Agri.  Food
  Chem.  15:592-598.

Proctor, V.W.  1960.   Dormancy and germination  of Chara oospores. Phycol. News
  Bull.  40:64.  (cited  in Hutchinson 1975)

Prouse,  G.A..  1959.  Relationship between epiphytic algal  species and  their
  macrophytic hosts.   Nature 183(4669):1204:1205.

Provasoli,  L.  1971.   Nutrition relationship in marine  organisms, pp.  369-382.
  _In_ 0.  Costlow,  Jr.  (ed.), Fertility of the sea.  Gordon  and Breach,  New York.

Radford, A.E., H.E. Ahles, and C.R.  Bell.  1964.  Manual of the vascular  flora
  of the Carolinas.  Univ.  North Carolina Press, Chapel  Hill.   1183 pp.

Ramsey,  A.J.   1974.  The use of autoradiography to determine  the proportion  of
  bacteria  metabolizing in an  aquatic habitat.   J. Gen.  Microbiol.   80:363-373.
                                      322
 image: 








Ramsey, A.J.  and J.C.  Fry.   1976.   Response of epiphytic  bacteria  to  the  treat-
  ment of two aquatic  macrophytes  with the herbicide,  paraquat.  Water Res.
  10:453-459.

Ranwell, D.S., and B.M.  Downing.   1959.   Brant goose winter feeding pattern  and
  Zostera resources at Scott Head  Island, Norfolk.   Anim.  Behav. 7:42-56.

Rasmussen, E.  1973.  Systematics  and ecology of the Isefjord marine  fauna
  (Denmark).   Ophelia  11:l-495.

Rasmussen, E.  1977.  The wasting  disease of eelgrass  (Zostera marina) and  its
  effects on  environmental  factors and fauna, pp.  1-51.   lr± C.P. McRoy and
  C. Helfferich (eds.),  Seagrass ecosystems: a scientific perspective. Marcel
  Dekker, Inc., New York.

Rawls, C.K.   1964.  Aquatic plant  nuisances.  Proc.  Interstate Comm.  Potomac
  River Basin 1:51-56.

Rawls, C.K.   1965^.  Field tests of herbicide toxicity to certain  estuarine
  animals.  Chesapeake Sci  6(3):150-161.

Rawls, C.K.   1968.  Changes in watermilfoil abundance  in  the Wicomico River,
  1964 to 1968.  Univ. Maryland CBL Ref.  No. 68-79.  Mimeo 5 pp.

Rawls, C.K.   1971cu  Submersed rooted vegetation in  the Chesapeake Bay.  Univ.
  Maryland CBL Ref. No.  71-39. Mimeo 4 pp.

Rawls, C.K.   1971]).  The accumulation and loss of field-applied  butoxyethanol
  ester of 2,4-D dichlorophenoxyacetic acid in oysters (Crassostrea virgim'ca)
  and soft-shelled clams (Mya arenaria).   Hyacinth Control J. 9(l):62-78.

Rawls, C.K.   1975.  Mechanical control of Eurasian watermilfoil  in Maryland  with
  and without 2,4-D application.   Chesapeake Sci.  16(4):266-281.

Rawls, C.K.   1977.  Field studies  of shell regrowth  as a  bioindicator of
  eastern oyster (Crassostrea virginica Gmelin) response  to 2,4-D  BEE in
  Maryland tidewaters. Chesapeake  Sci. 18(3):226-271.

Rawls, C.K.   In press.  Food habits of waterfowl in  the upper Chesapeake  Bay,
  Maryland.

Rawls, C.K.,  and G.F.  Beaven.  1963.  Results of a 1962 field experiment  sub-
  jecting certain estuarine animals to a 2,4-D ester.   Proc. Southern Weed
  Conf. 16:343-344.  (Abstr.)

Rawls, C.K.,  and P. Mckee.   1964.   Maryland's 1963 program for regulation and
  evaluation  of 2,4-D applications.  Proc. Southern  Weed  Conf. 17:306-307.

Rawls, C.K.,  J.H. Steenis, and V.D. Stotts.  1975.   Status of Eurasian water-
  milfoil and associated species  in the Upper Chesapeake  Bay and its  tributaries,
  1970 and 1971, with  notes on these species, 1955-1969.   Univ.  Maryland  CBL
  Ref. No. 75-37.  33 pp.
                                       323
 image: 








Raymont, J.E.G.  1947.   A fish  farming  experiment  in  Scottish  sea  lochs.   J.  Mar.
  Res. 6:219-227.

Reese, A.   1963.   Uber  die deutschen  Ruppia  and  Zannichellia.   Kategorien  und
  ihre Verbreitung in schleswig  - Holstein. Schr. Naturw.  Ver.  Schlesw-Holst.
  34:44-70.   (cited  in  Tomlinson 1976)

Reid, G.K.   1961.   Ecology of inland  waters  and  estuaries.   Reinhold  Publishing
  Corp., New York.

Rendle, A.B.  1930.   The classification of flowering  plants.   Vol.  1.  Cambridge
  Univ. Press, England.

Renn, C.E.   1934.   Wasting disease  of Zostera  in American waters.   Nature
  70:149-158.

Renn, C.E.   1935.  A mycetozoan parasite of  Zostera marina.  Nature 135:544-545.

Renn, C.E.   1937.   The  eelgrass situation along  the Middle  Atlantic Coast,
  Ecology 18:427-431.

Rickett, H.W.   1923. A quantitative  study of  the  larger  aquatic plants  of
  Green Lake,  Wisconsin.  Wise. Acad. Sci. Arts  Letters 21:381-414.

Riemer, D.N.,  and S.J.  Toth.   1969.   A  survey  of the  chemical  composition  of
  Potamogeton  and Myriophyllum  in New Jersey.  Weed Sci.  17(2):219-223.

Riley, D.,  W.  Wilkinson, and  B.V.  Tucker.  1976.   Biological unavailability of
  bound paraquat residues in  soil,  pp.  301-353.  rn D.D.  Kaufman,  G.G.  Still,
  G.D. Paulson, and  S.K. Bandal (eds.), Bound  and  conjugated pesticide residues,
  Series 29.  American  Chemical Society, Washington,  D.C.

Ritchie, D.E., Jr. and  J.B.  Genys.   1975.  Daily temperature and salinity  of
  surface water of Patuxent River at  Solomons, Maryland,  on 30 years  of
  records (1938-1967).   Chesapeake Sci. 16(2) :127-133.

Roeth, F.W., and T.L.  Lavy.   1971   Weed Sci. 19:98.   (cited in Esser  et al.
  1975)

Roeth, F.W.andT.L.  Lavy, and O.C.  Burnside.  1969.   Atrazine  degradation  in
  two soil  profiles. Weed Sci. 17:202-205.

Rose, E.T.   1955.   Completion report  on aquatic  vegetation  control.   Fire  Island
  Lake.  Rep.  Iowa State Conser. Comm.  D-J Prof. F-27-D1.  9 pp.

Ryan, J.B.   1969.  The  effects  of fertilization  on the mineral  composition of
  pond water.   Proc. Northeast  Weed Control  Conf.  23:349-356.

Ryan, J.B.,  and D.N. Riemer.   1975.   Copper  toxicity  symptoms  in sago  pondweed,
  Potamogeton  pectinatus.   Proc. Northeast Weed  Sci.  Soc. 29:108-113.
                                      324
 image: 








 image: 








 image: 








Ryan, J.8., D.N. Riemer, and ,S.J.  Toth.   1972.   Effects of fertilization  on
  aquatic plants, water and bottom sediments.   Weed $ci .  20(5) :482-486,

Sailer, R.I.  1972.  Biological control  of aquatic weeds, recent progress.
  Proc. Northeast Weed Sci . Soc. 26:180-182.

Sand-Jensen, K.   1975.  Biomass, net production and growth dynamics  in an eel-
  grass (Zostera marina L. ) population in Vellerup Vig, Denmark, Ophelia
  14:185-201.

Sand-Jensen, K.   1977.  Effect of epiphytes on  eelgrass photosynthesis.   Aq.
  Bot. 3:55-63.

Saunders, G.W.  1957.  Interrelations of dissolved organic matter and phyto-
  plankton.  Bot. Rev. 23:389-409.

Sawyer, C.N.  1962.  Causes, effects and control of aquatic growths.  J.  Water
  Pollut. Control Fed. 34:279-288.

Scherer, 0., G.  Horlein, and K. Hartel ,   1963.   Preparation of N-Alfoxy  ureas
  and their use  as selective herbicides.  Angew. Chem.  75:670-673.

Schindler, J.E., J.J. Alberts, K.R. Honick.  1972.  A preliminary investigation
  of organic and inorganic associations  in a stagnation system.   Limnol.
  Oceanogr. 17:952-957.

Schomer, H.A.   1934.  Photosynthesis of  water plants at various  depths in the
  lakes of northeastern Wisconsin.  Ecology 15:217-218.

Schroeder, W.L.   1977.  Dredging in estuaries:  a guide for review of environ-
  mental impact  statements.   Technical  manual. National  Science Foundation,
  Washington,  D.C.  313 pp.

Schubel , J.R.   1968.  Suspended sediment discharge of the Susquehanna River  at
  Havre de Grace, Maryland, during the period 1 April 1966 through 31 March
  1967.  Chesapeake Sci. 9(2) :131-135.

Schubel, J.R.   1972.  Suspended sediment discharge of the Susquehanna River
  at Conowingo,  Maryland, during 1969.  Chesapeake Sci. 13(l):53-58.

Schubel, J.R.   1974.  Effects of Agnes on the suspended sediment of the Chesa-
  peake Bay and  contiguous shelf waters, pp.  B1-B26.  In J. Davis (ed.),  The
  effects of tropical storm Agnes on the Chesapeake Bay estuarine system.
  Chesapeake Research Consort. No. 34.

Schuette, H.A.,  and H. Alder.  1927.  Notes on  the chemical composition of some
  of the large aquatic plants of Lake Mendota II.  Vallisneria and Potamogeton.
  Trans. Wisconsin Acad. Sci. Arts Letters 2
Schuette, H.A., and H. Alder.  1929a_.  A note on the chemical  composition of
  Chara from Green Lake, Wisconsin.  Trans. Wisconsin Acad.  Sci.  Arts Letters
  24:141-146.
                                     325
 image: 








Schuette, H.A.  and H.  Alder.   1929tK   Notes  on  the  chemical  composition  of  some
  of the larger aquatic plants of Lake Mendota  IU.   Castalia  odorata  and Najas
  flexilis.  Trans. WIs. Acad. Sci.  Arts  Letters, 24:135-139.

Schultz, J.A.,  D.B. Manigold,  and F.L.  Andrews.   1973.   Pesticides  in  selected
  western streams—1968-1971,   Pestic.  Monit. J,  7:73-84.

Schultze, H.W.   1974.   The chlorine  industry: past,  present  and  future,  pp.  1-19.
  Jji Chlorine Bicentennial Symposium.   The Electrochemical Society,  Inc.
  Princeton, NJ.

Schulze, K.L. 1966.  Biological  recovery  of  wastewater.   J.  Water Pollut. Control
  Fed.  38(12)-.1944-1948.

Sculthorpe, C.D.   1967.  The  biology of aquatic vascular plants.  Edward  Arnold
  Ltd., London.  610 pp.

Seaman, D.E.andW.A. Porterfield.  1964.   Control of aquatic weeds  by  the snail
  Marisa cornuarietis.   Weeds  12:87-92.

Seba, D.B. and  C.F. Corcoran.   1969.   Surface slicks as  concentrators  of pes-
  ticides in the  marine environment.   Pest,  monitoring J.  3(3):190-193.  (Cited
  in Brown 1975)

Setchell, W.A.   1924.   Ruppia  and its  environmental  factors.   Botany 10:286-288.

Setchell, W.A.   1927.   Zostera marina  latifolia:  ecad or ecotype?    Bull. Torrey
  Club.  54:1-6.

Setchell, W.A.   1929.   Morphological  and  phenological notes  on Zostera marina L.
  Univ. California Publ. Bot.  14:389-452.

Shannon, E.L.  1953.  The production of root hairs  by aquatic  plants.  Amer.
  Midi. Nat. 59(2):474-479.

Sharp,  J.H.  1977.  Excretion  of organic  matter by  marine phytoplankton: do
  healthy cells do it?  Limnol.   Oceanogr. 22(3):381-399.

Shchapova, T.F.,  and V.B. Vizzhinskaya.   1969.  Algae of  the  littoral  of  the
  west coast of Sakhalin.  Trudy Inst.  Okeanol.  Akad. Nauk SSSR  34:123-164.

Shea, G.B.  1976.  Biological  effects  of  enhanced ultraviolet  radiation  on  a
  salt marsh ecosystem.  Ph.D. Thesis, Univ. Maryland, College Park.   121 pp.

Shear,  G.M.  1965.  The role  of herbicides in no-tillage crop  production. Proc.
  Southern Weed Conf.  18:28-34.

Sheets, T.J., and J.F.  Lutz.   1969.   Movement of herbicides  in runoff water.
  Am.Soc. Agric.  Eng.  Papers,   pp.  69-707.

Sherburne, H.R.,  V.H.  Freed,  and S.C.  Fang.   1956.   4:50.   (cited  in Geissbuhler
  et al. 1975)


                                      326
 image: 








Shima, L.J., R,R. Anderson, and V.P.  Carter.   1976.   The use of aerial  color
  infrared photography in mapping the vegetation of  a fresh water marsh.
  Chesapeake Sci. 17(2):74-85.

Shiyan, P.N., and A.I. Merezhko.  1972.   Effect of hydrogen ion concentration
  on photosynthesis and radiocarbon metabolism in aquatic plants.   Gidrobiol.
  Zh. 8(2):34-41.

Sieburth, J.M.  1968.   The influence of algal  antibiosis on the ecology of
  marine microorganisms, pp.  63-89.  lr\_ M.R.  Droop and E.J. Woods  (eds.),
  Advances in microbiology of the sea.   Academic press, London.

Sieburth, J.M. and C.D. Thomas.  1973,   Fouling on eelgrass (Zostera marina L.)
  J. Phycol. 9:46-50.

Siever, R.,  K.C.  Beck, and K.A. Berner.   1965.  Composition of intersitial
  waters of modern sediments.  J. Ecology 73:39-73.

Sills, J.B.  1970.  A review of herbivorous fish for  weed control.   Prog.  Fish
  Cultur.  32:158-161.

Simon, H.A.   1973.  The organization of complex systems, pp. 3-27.   In  H.H.
  Pattee (ed.), Hierarchy theory: the challenge of complex systems.   George
  Braziller, New York.

Simsiman, G.V. and G.  Chesters.  1975.   Persistence  of endothall in  the aquatic
  environment.  Water, Air Soil Pollut.   4:399-413.

Sincock, J.L,  1962. Estimating consumption of food  by wintering waterfowl
  populations, pp. 217-221.  J_n Proc. Conf. Southeastern Assoc. Game Fish
  Comm. 16:217-221.

Skerman, T.M.  1956.  The nature and development of  primary films  on surfaces
  submerged 1n the sea.  New Zealand J.  Sci.  Technol.  386:44-57.

Slade, P.  1965.   Photochemical degradation of paraquat.  Nature 207(4996):515-
  516.

Slade, P.  1$66.   Weed. Res. 6:158.  (cited in Funderburk 1969)

Slade, P., and A.E. Smith.  1967.  Photochemical degradation of diquat.  Nature
  213-919.  ^cited in Funderburk 1969).

Sladen, W.L.  1975. Timeless voyager, the whistling  swans.  Nat.  Geographic
  147:135-145.

Small, J.  1946.   pH and plants, an introduction for beginners.  D.  van Nostrand
  Co., Inc.   New York.

Smith, A.E., and J. Grove.  1969.  Photochemical degradation of diquat  in
  dilute aqueous solution and on silica gel.   J. Agr. Food Chem. 17(3):609-613.
                                      327
 image: 








Smith, A.E., and D.V.  Phillips.   1975.   Degradation  of  alachlor  by  Rhizoctonia
  sol am'.   Agronomy J.  67:347-349.

Smith, G.   1962.  Eurasian watermilfoil  (Myriophvllum spicatum)  in  the  Tennessee
  Valley.   Proc. Southern Weed Conf.  Mimeo.   15:10 pp.

Smith, G.E.  1963.  Control of Eurasian  watermilfoil  (M_.  spicatum)  in TVA
  Reservoirs.  Proc. Southern Weed  Conf.   Mimeo.  16:5 pp.

Smith, 6.M.  1950.  The freshwater  algae of  the United  States. McGraw Hill
  Book Co., New York.

Smith, K.L.  1971.  Structural and  functional  aspects of  a  sublittoral  commun-
  ity. Ph.D. Thesis. Univ. Georgia, Athens.   194 pp.

Southwick, C.H. 1967-1969.  Biologic and environmental  control of Eurasian
  watermilfoil  in Chesapeake Bay: quarterly  progress  reports  to  U.S.  Department
  of Interior,  Fish and Wildlife Service.

Southwick, C.H. 1972.   Tentative outline for inventory  of aquatic vegetation:
  Myriophyllum spicatum (Eurasian watermilfoil).   Chesapeake  Sci. 13(suppl).
  S174-S176.

Southwick, C.H., and F.W. Pine.   1975.   Abundance of submerged vascular vege-
  tation in the Rhode River from 1966 to 1973.   Chesapeake  Sci.  16(1): 147-151.

Sparrow, F.K.  1974.  Observations  on chytridiaceous  parasites of phanerogams,
  Part 19.  A physoderma on Eurasian watermilfoil (Myriophyllum  spicatum L.)
  Am.  J. Bot. 61(2):174-180.

Spencer, W.F.,  and M.M. Claith.   1974.   Factors affecting vapor  loss  of tri-
  fluralin from soil.   J. Agr. Food Chem.  22(6):987-991.

Springer,  P.F.   1959.   Summary of interagency meeting on  Eurasian watermilfoil.
  U.S. Fish Wild!. Serv. Patuxent Wildl.  Sta.,  Laurel,  MD.  Mimeo.   10  pp.

Springer,  P.F., G.F. Beaven, and V.D. Stotts.   1961.  Eurasian watermilfoil—
  a rapidly spreading pest plant in eastern  waters.   Northeast Wildl. Conf.
  Mimeo. 6 pp.

Springer,  P.F., and R.E. Stewart.   1950.   Gadwall nesting in  Maryland,  Auk
  67(2):234-235.

Springer,  P.F., and R.E. Stewart.  1959.   Condition  of  waterfowl  feeding grounds
  on the Susquehanna Flats during the fall of 1959 with notes on the  invasion
  of a serious pest plant.  U.S.Fish Wildl.  Serv. Patuxent  Wildl. Research  Sta.
  Mimeo.  6 pp.

Springer,  P.F., F.M. Uhler, and R.E. Stewart.   1958.  Condition  of  waterfowl
  feeding grounds on the Susquehanna Flats,  fall  1958.   U.S.Fish Wildl. Serv.
  Patuxent Wildl. Research Sta.   Mimeo.   5 pp.
                                      328
 image: 








Stanley, R.A.  1974.  Effect of 2,4-D and various salts on Eurasian watermil-
  foll.  Weed Sci, 22(6):591-594.

Stauffer, R.C,  1937. Changes in the invertebrate community of a lagoon after
  a disappearance of the eelgrass.   Ecology 18(3):427-431,

Steemann Nielsen, E.  1946.  Carbon sources in the photosynthesis of aquatic
  plants.  Nature 158:594-596.

Steemann Nielsen, E.  1951.  Passive and active ion transport during photo-
  synthesis in water plants.  Physiol. Plant 4:189-198.

Steemann Nielsen, E.  1952.  Experimental carbon dioxide waves in photosynthesis,
  Physio!.  Plant. 5:145-159.

Steenis, J.H.  1966.  Aquatic weed control.  North Central Regional Herbicide
  Workshop, Wichita, KA.  Mi.meo.  pp. 4-1 to 4-12.

Steenis, J.H.  1970.  Status of Eurasian watermilfoil and associated submersed
  species in the Chesapeake Bay area--1969.  Adm. Rept. to R. Andrews, U.S.
  Fish Wildl. Serv. Patuxent Wildl. Research Sta.   27 pp.

Steenis, J.H.  1976.  Significance of the northeast disease condition of
  Eurasian watermilfoil in the Kawartha Lake region in terms of what has been
  observed in Chesapeake Bay.  Water Resources Branch, Ministry of the
  Environment, Ontario.  Mimeo.  3 pp.

Steenis, J.H., and G.M. King, summarizers.  1964.  Report on interagency
  workshop meeting on Eurasian watermilfoil.  Annapolis, MD.  Mimeo. 21 pp.

Steenis, J.H. and V.D. Stotts.  1961.  Progress report on control of Eurasian
  watermilfoil.  Proc. Northeast Weed Control  Conf. 15:566-570.

Steenis, J.H. and V.D. Stotts.  1965.  Tidal dispersal of herbicides to control
  Eurasian watermilfoil in the Chesapeake Bay.  Proc. Southern Week Conf.
  18:507-511.

Steenis, J.H., V.D. Stotts, and C.R. Gillette.  1962.  Observations on distri-
  bution and control of Eurasian watermilfoil  in Chesapeake Bay, 1961. Proc.
  Northeast Weed Control Conf. 16:442-448.

Steenis, J.H., E.W.Ball, V.D. Stotts, and C.K. Rawls.  1967.  Pest plant control
  with herbicides, pp. 140-148.  Jni Proc. Marsh Estuary Mgt. Symp, Louisiana
  State Univ., Baton Rouge.

Steenis, J.H. and V.D. Stotts, and C.K. Rawls.  1972.  Status of Eurasian
  waternrilfoil and associated species in the Chesapeake Bay area, 1970 and
  1971.  U.S. Fish Wildl. Serv. Patuxent Wildl, Research Sta.  Mimeo. 13 pp.

Steinbeck,  J., and E. Picketts.  1941.  Sea of Cortez.  Viking Press, New York.
  598 pp.
                                      329
 image: 








Stephens, G.   1967.   Dissolved organic  material  as  a  nutritional  source  for
  marine and  estuarine invertebrates, pp.  367-373,   ln_ G,H.  Lauff (ed,),
  Estuaries.   American Association for  the Advancement of Science.   Publ.  No.  83.
  Washington, D.C.

Stevenson, F.J.   1976,  Organic matter  reactions involving pesticides  in soil.
  _I_n  D.D. Kaufman,  G.S, Still, G.D.  Paulson,  and S.K.  Bandal.   Bound  and
  conjagated  pesticide residues.   American Chemical  Society, Washington, D.C.

Steward, A.N., L.R.  Dennis, and H.M.  Gilkey.   1960.   Aquatic plants  of the
  Pacific Northwest  with vegetative keys.   Oregon State College,  Con/all is.

Stewart, R.E.  1958,  Distribution of the  black  duck.   U.S.  Fish  Wild!.  Serv.
  Circ.  No.  51.   8 pp.

Stewart, R.E.  1962.  Waterfowl populations in the  upper Chesapeake  region.
  U.S. Fish Wild!. Serv. Spec. Rep.,  Wild!. No.  65.  208 pp.

ftewart, R.E.  1972.  Waterfowl of the  Chesapeake Bay.   Chesapeake Sci.
  13:(Suppl)  S134-S137.

Stewart, R.E., and J.H. Manning.   1958.   Distribution and ecology of whistling
  swans  in the Chesapeake Bay region. Auk  75:203-212.

Stewart, R.E. and C.S. Robbins.  1958.   Birds  of Maryland and  the District of
  Columbia    U.S.Fish Wild!. Serv. N.  Amer.  Fauna  No.  62. 401  pp.

Stickler, R.L.,  E.L. Knake and T.D. Hinsley.   1969.   Weed Sci.  17:257  (cited
  in Weber 1972)

Stolp, C.F.,  and D.  Penner.  1973.  Enhanced phytotoxicity of  atrazine-phosphate
  combinations.   Weed Sci.  21:37-40.

Stotts,  V.D.  1955.   Black duck banding  study ends in  the Kent  Island area.
  MD.   Tidewater News 12(4):l-4.

Stotts,  V.D.   1956.   The black duck (Anas  rubripes)  in the upper Chesapeake Bay
  and its estuaries.  Proc. Southeastern Assoc.  Game Fish Comm. Conf.  10:280-285.

Stotts,  V.D,   1960.   Preliminary studies of estuarine benthic  zones.  Maryland
  Game and Inland Fish Commission.  Maryland Pittman Robertson W-30-R-8.  41 pp.

Stotts,  V.D.   1961.   Summary of the interagency  research meetings on the biology
  and control of Eurasian watermilfoil.   Md.  Game Inland Fish  Comm.    Mimeo.
  7 pp.

Stotts,  V.D.   1969.   Habitat and breeding  ecology--east-centrai United States.
  In P,      Barske (ed.), Black duck evaluation, management and research:
  a symposium.  Atlantic Waterfowl Council Wild!. Mgt. Inst. 193 pp.
                                       330
 image: 








 Stotts,  V.D.   1970.  Survey of estuarine submerged vegetation.  Maryland Fish
   and  Wildlife Administration.  Maryland Pittman - Robertson W-45-2. 7 pp.

 Stotts,  V.D.,  and  D.E.  Davis.  1960.  The black duck in the Chesapeake Bay of
   Maryland: breeding behavior and biology.  Chesapeake Sci. 1(3-4):127-154.

 Stroube,  E.W., and D.P. Bondarenko.   1960.  Persistence and distribution of
   simazine  appeared in  the field.  Proc. N.C. Weed Control Conf. 17:40.

 Sugam, R.,  and G.R. Helz.  1977.  Speciation of chlorine produced  oxidants in
   marine  waters: theoretical aspects.  Chesapeake Sc--  18(1):116-118.

 Sulkin,  S.  1973.   Blue crab study in Chesapeake Bay, Maryland.
   Univ.  Maryland CBL Ref. No. 73-94.

 Sulkin,  S.  1977.   Factors influencing blue crab population size:  nutrition
   of larvae and migration of juvenile.  Univ. Maryland UMCEES Ref. No. 77-16HPEL.
   Vol. 1  and  II.

 Surber,  E.W.   1961.  Improving sport  fishing by control of aquatic weeds.
   Bureau  of Sport  Fisheries and Wild!., Atlanta, GA.  Circular 128.

 Sutton,  D.L.,  D.A.  Durham, S.W. Bingham, and C.L. Foy.  1969.  Influence of
   simazine  on  apparent  photosynthesis of aquatic plants and herbicide residue
   removal from water.  Weed Sci. 17:56-59.

 Swanson,  C.R., W.C. Shaw, and J.H. Hughes.  1953.  Some effects of isopropl
   N-(3-chlorophenyl) carbamate and an alkano-lamino salt of dinitro ortho
   secondary butyl  phenol on germinating cotton seeds.  Weeds 2:178 (cited in
   Kaufman 1976)

 Swindale, D.'N., and J.T. Curtis.  1957.  Phytosociology of the larger sub-
   merged  plants in Wisconsin Lakes.   Ecology 38:397-707.

 Syers, O.K.,  R.F.  Harris, and D.E. Armstrong.  1973.  Phosphate chemistry in
   lake sediments.   J. Environ. Qual.  2:1-14.

 Takhtajan, A.  1969.  Flowering plants: origin and dispersal.  Translated from
   Russian by  C. Jeffrey Smithsonian Institution Press, Washington, D.C.

•Taylor,  A.R.A.  1957a^.  Studies of the development of Zostera marina L. I. The
   embryo  and  seed.  Canadian J. Bot.  35:477-499.

 Taylor,  A.R.A.  1975^.  Studies of the development of Zostera marina L. II.
   Germination  and  seedling development.  Canadian J. Bot. 35:681-695.

 Teal,  T.M.  1962.   Energy flow in the salt marsh ecosystem of Georgia.  Ecology
   43(4):614-624.

 Teeter,  J.W.   1965.  Effects of sodium chloride on the sago pondweed.  J. Wildl.
   Mgt. 29(4):838-845.
                                      331
 image: 








Tenore, K.R.  1975.  Detrital utilization by the polychaete, Capital]a capitata.
  J. Mar. Research 33(3):261-274.

Thayer, G.W., S.M. Adams, and M.W. LaCroix.  1975.  Structural and functional
  aspects of a recently established Zostera marina community, pp. 518-540.  Jji
  I.E. Cronin (ed.), Estuarine research.  Academic Press, New York.  738 pp.

Thomas, M.L.H.  1967.  Experimental control of eelgrass (Zostera marina L.) in
  oyster growing areas.  Proc. Northeast Weed Control Conf. 21:542-549.

Thomas, M.L.H., and J.R. Duffy.  1968.  Butoxyethanol ester of 2,4-D in the
  control of eelgrass (Zostera marina L.) and its effects on oysters
  (Crassostrela virginica Gmelin) and other benthos.  Proc. Northeast Weed
  Control ConT. 22:186-193.

Thomas, W.A.4 G. Goldstein and W.H. Wilcox.  1973.  Biological indicators of
  environmetnal quality.  A bibliography of abstracts.  Ann Arbor Science
  Publishers. 254 pp.

Thompson,  H.iE., C.P. Swanson, and A.G. Norman.  1946.  New growth-regulating
  compounds: I. Summary of growth inhibitory activities of some organic
  compounds a|s determined by three tests.  Bot. Gaz. 197:476-507 (cited in
  Geissbuhler et al 1975)

Tiedje, J.M.* and M.L. Hagedorn.  1975.  Degradation of alachlor by a soil
  fungus, Cha|ltomium globosum.  J. Agr. Food Chem. 23:77-81.

Titus, J., RjA. Goldstein, M.S. Adams, J.B. Mankin, R.V. O'Neill, P.R. Weiler,
  Jr., H.H. Shucart, and R.S. Booth.  1975. A production model for Myriophyllum
  spicatum. Ecology 56(5):1129-1138.

Toetz, D.W.  1973.  The kinetics of NH  uptake by Ceratophyllum.  Hydrobiologia
  41(3):275-290.

Tomlinson, P.iB., and V. Posluszny.  1976.  Generic limits in the Zannichelliaceae
  (Sensodumortier).  Taxon.25:273-279.

Tucker, B.V., D.E. Pack, J.N. Ospenson, A. Omid, and W.D. Thomas.  1969.
  Paraquat sdil bonding and plant response.  Weed Sci. 17:448-451.

Turekian, K.K.  1971.  Rivers, tributaries and estuaries.  Chapter 2.  Jjr^
  D.W.Hood (dd.),Impingement of man on the oceans.  Wiley-Interscience, N.Y.
  (cited in Schroeder 1977)

Tutin, T.G.  1934.  The fungus on Zostera marina.  Nature 134:573.

Tutin, T.G.  1938.  The autecology of Zostera marina in relation to its wasting
  disease.  New Phytologist 37:50-71.

Tutin, T.G.  1940.  The Percy Sladen Trust expedition to Lake Titicaca in 1937
  under the leadership of Mr. H. Cary Gibson.  M.A.X.  The macrophytic vegetation
  of the lake.  Trans. Linnaean Soc. London, 3rd Ser. 1:161-189.
                                      332
                                             U.S. GOVERNMENT PRINTING OFFICE: 1978—747-583/6094 Region No. 4
 image: 








U.S. Army Corps of Engineers,  Baltimore District,   1974.   Chesapeake  Bay,
  existing conditions report.   Vol.  1-7.

U.S. Army Corps of Engineers,  Baltimore District.   1977.   Chesapeake  Bay,
  future conditions report.    Vol.  II,  Biota.

U.S. Department of Agriculture, Bureau  of Biological  Survey.   1939.   Wildlife
  Research and Management Leaflet BS-125.  Washington,  D.C.

U.S. Department of Commerce.   1974.   Census of agriculture.   GPO,  Washington,
  D.C.

U.S. Department of Interior,  Fish and Wildlife Service.   1944.   Propogation  of
  wild duck foods. Wildl. Mgt. Series I.

U.S. Environmental Protection  Agency.  1975.  Environmental  and recovery studies
  of Escambia Bay and the Pensacola  Bay system, Florida.   EPA 904/9-76-016.
  Washington, D.C.

Uhler, L.M.  1958.  Memo regarding proposed study  of the  effects of the  carp
  (Cyprinus carpio) on waterfowl foodplants at the mouths of the Bear River,
  Weber River, and at other points in Utah.  U.S.  Fish  Wildl.  Serv. Patuxent
  Wildl. Research Sta., Laurel, MD.   Mimeo.  3 pp.

Ungar, I.A.  1974.  Inland halophytes of the United States,  pp. 235-305.  Ir±
  R.J. Reimold and W.H. Queen  (eds.), Ecology of halophytes.   Academic Press,
  Inc., New York.

Upchurch, R.P., and W.C. Pierce.  1957.  Weeds 5:321.  (cited in Weber 1972)

Urner, C.A.  1934.  The eelgrass blight on the New Jersey Coast.  Linnaean Soc.
  N.Y. 43:37-39.  (Abstr.)

Van, T.K., W.R. Haller, and A. Bowes.  1976.  Photosynthesis of three submerged
  aquatic macrophytes.  Plant  Physio!.  57(5 suppl):6.

Varenko, N.I., and V.T. Chuiko.  1971.   Role of higher  aquatic plants in the
  migration of manganese, zinc, copper, and cobalt in the Dneprodzerzhinsk
  Reservoir.  Hydrobiol. J.  (Gydrobiol. Zh. trans.) 7:45-48.

Velsicol Chemical Corporation.  1967.  General Bull. No.  521-2.  (cited  in
  Kearney and Kaufman 1975)

Walker, C.R,  1959.  Control  of certain aquatic weeds in  Missouri  farm ponds.
  Weeds 7:310-316.

Walker, C.R.  1964.  Simazine  and other s-triazine compounds as aquatic
  herbicides in fish habitats.  Weeds 12(2).-134-139.

Walker, J.D. and R.R. Colwell.  1974.  Mercury-resistant  bacteria  and
  petroleum degradation.  Applied Microbio.  27(1):285-287.   (cited  in Brown
  1975)


                                      333
 image: 








Way, J.M.j O.F.  Newman,  N.W.  Moore,  and  F.W.  Knaggs.   1971.   Some  ecological
  effects of the use of  paraquat for the control  of weeds  in  small  lakes.
  J. Appl. Ecology 8:509-532.

Weatherby, C,A.   1932.   On the nomenclature  of Elodea.   Rhodora  34:114-116.

Weber, J.B.  1970.  Mechanisms of adsorption of s-triazines by clay colloids
  and factors affecting  plant availability,  pp.  93-130.  Jn_ F.A. Gunther
  and J.D. Gunther (eds.),Residue Reviews, 32.   Springer-Verlag, New York.

Weber, J.B.  1972.  Interaction of organic pesticides with participate  matter
  in aquatic and soil systems, pp. 55-120.   ^n R.F. Gould.  Fate of organic
  pesticides in  the aquatic environment. American Chemical Society, Washington,
  D.C.

Weber, J.B., and H.D. Cable.   1968.   Microbial  decomposition  of  diquat  adsorbed
  on montmorillonite and kaolinite clays.  J.  Agr. Food  Chem.  16:475-478.

Weber, J.B., P.W.  Perry, and R.P. Upchurch.   1965.  The  influence  of temperature
  and time on the absorption of paraquat, 2,4-D and prometone by clays, charcoal
  and an anion-exchange  resin.  Soil Sci. Soc.  Am. 29:678-687.

Weber, J.B., S.B.  Weed,  and T.M. Ward.   1969.   Adsorption  of  s-triazines by
  soil organic matter.   Weed Sci. 17:417-421.

Weed Science Society of  America.  1974.   Herbicide handbook of the Weed Science
  Society of America, 34d ed., WSSA, Champaign, II.  430 pp.

Weiss, P.A.  1969.  The  living system:  determinacy stratified, pp.  3-42.  ln_
  A. Koestler and J.R.  Smythies (eds.),  Beyond reductionism.   MacMillan Co.,
  New York.

Welch, P.S.  1935.  Limnology.  McGraw-Hill, New York.

Weldon, L.W., R.D. Blackburn, and D.S.  Harrison.   1969.  Common  aquatic weeds.
  U.S. Dept. Agric. Handbook No. 352.   Washington, D.C.

Weldon, L.W., R.D. Blackburn, and D.S.  Harrison.   1969.  Common  aquatic weeds.
  U.S. Dept. Agric., Agric. Handbook No. 352.    Washington, D.C.

Weldon, L.W., and F.L.  Timmons.  1961.   Weeds  9:111.   (cited  in  Crosby  1976)

Welsh, S.I.  1974.  Anderson's flora of Alaska and adjacent parts  of Canada.
  Brigham Young Univ. Press, Provo,  Utah.

Wester, H.V., and S.D.  Rawles. 1976.  Impact of chlorine pollution in the upper
  Potomac and Anacostia  Estuaries.  U.S. Department of the Interior, Washington,
  D.C. (Abstr.)

Wetzel, R.G.  1964.  A comparative study of  the primary  productivity of higher
  aquatic plants, periphyton and phytoplankton in a large  shallow  lake.  Int.
  Rev. Gesamten.  Hydrobiologia 49:1-64.


                                      334
 image: 








Wetzel, R.G.  1969.  Excretion of dissolved organic compounds by aquatic
  macrophytes.  Bioscience 19(6);539-540.

Wetzel, R.G.  1975.  Limnology.  W.B. Saunders Co., Philadelphia, PA.   743 pp,

Wetzel, R.G., and H.L. Allen.  1971.  Functions and interactions of dissolved
  organic matter and the littoral zone in lake metabolism and eutrophication,
  In_Z. Kajak and A. Hillbricht-Howska (eds.), Productivity problems of fresh-
  waters.  Warsaw Polish Academy of Science.

Whaley, R.C., J.H. Carpenter, and R.L. Baker.  1966.  Nutrient data summary
  1964, 1965, 1966: Upper Chesapeake Bay, Potomac, South, Severn, Magothy,
  Back, Chester and Miles Rivers and Eastern Bay.   The Johns Hopkins University
  Spec. Rep. 12, Univ. Maryland CBL Ref.  No. 66-4.

White, A.W., Jr., L. E. Asmussen, E.W. Hauser,.and J.W. Turnbull.  1976.  Loss
  of 2,4-D in runoff from plots receiving simulated rainfall and from a small
  agricultural watershed.  J. Environ. Qual. 5(4):487-490.

Wilkinson, R.E.  1963.  Effects of light intensity and temperature on the
  growth of waterstargrass, coontail, and duckweed.  Weeds 11:287-289.

Williams, R.B., and L. K. Thomas. 1967.  The standing crop of benthic animals
  in a North Carolina estuarine area.  J. Elisha Mitchell Sci.  Soc. 83:135-139.

Willis, G.H., R.L. Rogers and E.M. Southwick.  1975.  Losses of diuron, linuron,
  fenac and trifluralin in surface drainage water.  J. Environ. Qual.
  4(3):399-402.

Wilson, D.P.  1949.  The decline of Zostera marina L. at Solcombe and its
  effect on the shore.  J. Mar. Biol. Ass.  U.K. 28:395-412.

Wiurn-Anderson, S.  1971. Photosynthetic uptake of free Co2 by the roots of
  Lobelia dortmanna.  Physio!. Plant 25:245.

Wu, T.L., N.J. Mick and B.M. Fox.  1977.   Runoff studies of the agricultural
  herbicides alachlor and atrazine from the Rhode River watershed during the
  1976 growing season, pp. 707-724.   J_n D.L. Correll (ed.), Watershed research
  in Eastern North America.  Smithsonian Press.

Yeo, R.R.  1965a..   Life history of sago pondweed.  Weeds 13(4) :314-321.

Yeo, R.R.  1965b.   Yields of propagules  of certain aquatic plants.  I. Weeds
  14:15:110-113.

Yeo, R.R.  1967.  Weeds 15:42. (cited in Calderbank and Slade 1976)

Young, E.L., III. 1943.  Studies on Labryinthula.   The etiologic aaent of the
  wasting disease of eel grass.  Am.  J. Bot. 30:586-593.

Zenkevitch, L.A.  1963.  Biology of the seas of the U.S.S.R. Interscience Pub.,
  New York.  955 pp.
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