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i ;
* ' EPA-600/3-84-015
January 1984
SUBMERGED AQUATIC VEGETAT-WN IN
UPPER CHESAU-EAKE BAY: STUDIES
RELATED TO POSSIBLE CAUSES OF
THE RECENT DECLINE I« ABUNDANCE3
r . — W-. MichaeV Kemp,b
Walter R. Boynton,0
:,-> J, Court Stevenson,b
I . Jay C. Means,^ ,
,! " Robert R. Tw1lley,b and
Thomas-Wv-0oaes,b
•- _._.. Editors
ij"
:*-,', ' .
. r . ... ••• - .'c-
,,aUn1Vers1ty of Maryland Center for Environmental
and EstuaMne Studies Contribution No« 1431
bHorn Point Environmental Laboratories
Cambridge, Maryland
cChesapeak« Bloldgltal >Laboratory
Solomons, Maryland 20688 ' ^
Grant Nos. R8059320IO and X003248010
Project Officer
Pr. David Flemer
U.S. Environmental Protection Agency
2083 West Street
Annapolis, MD 21401
IT
NATIONAL TECHNICAL
INFORMATION SERVICE
1.1 OIPMTWNI OF COiCEdCl
»«*«nio, n. mil
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TECHNICAL REPORT DATA
(neatt rtati Instructions on the rei/ene before completing)
1. R6POTT NO.
EPA-600/3-84-015
3. RECIP
14. TITLE AND SUBTITLE „,...,. _. ,
Submerged Aquatic Vegetation in Upper Chesapeake
Bay: Studies Related to Possible Causes of the
Recent Decline in Abundance.
5. REPORT DATE
January 1984
8. PERFORMING ORGANIZATION CODE
. AUTHOR(S) „ • • •
W. M. Kemp, W. R. Boynton, J. C. Stevenson,
J. C. Means, R. R. Twilley and T, W. Jones
I. PERFORMING ORGANIZATION REPORT NO.
t
9. PERFORMING ORGANIZATION NAME AND ADDRESS
Center for Environmental and Estuarine Studies
University of Maryland
Cambridge, MD 21613
10. PROGRAM ELEMENT NO.
G RANT NO.
and
X003248010
12. SPONSORING AGENCY NAME AND ADDRESS
Chesapeake Bay Program
U.S. EPA
Central Regional Laboratory
Annapolis. MD 21401
13. TYPE OF REPORT AND PERIOD COVERED
Technical
14. SPONSORING AGENCY CODE
EPA/600/05
15. SUPPLEMENTARY NOTES
To. ABSTRACT
This paper provides a synthesis of research conducted on possible causes of
the decline in abundance of submerged aquatic vegetation (SAV) in upper Chesapeake
Bay beginning in the late 1960's. Three factors potentially were emphasized in
this study: runoff of agricultural) herbicides; erosional inputs of fine-grain
sediments; nutrient enrichment/and associated algal growth. Widespread use of
herbicides in the estuarine watershed occurred contemporaneous with the SAV
loss; however, extensive sampling of estuarine water and sediments during 1980-81
revealed that typical bay concentrations of herbicides (primarily atrazine)
rarely exceeded 2ppb. However, normal concentrations (< 5 ppb) were shown experi-
mently to have little measurable effect .on plants. Historical Increases in
turbidity have been documented for some bay tributaries since the 1940's. Light
(PAR) attenuation by suspended fine-grain sediments contributed more to total
turbidity in bay shallows (< 1.5m) than did phytoplankton chlo'ophyll a. Evidence
Indicated that plant photosynthesis was I1ght-lImited for much of the ?ay.
Effects of the continual increase in nutrient enrichment of the bay (documented
since 1930) were tested by experimentally fertilizing pond roesocosms at levels
common to the upper estuary. Moderate to high nutrient loadings resulted in
significant increases in growth of epiphytic and planktonic algae and decreases
in ^iV prrtHiirfr ir\n
17.
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NOTICE
This document has been reviewed in accordance with
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19103
CONTENTS
Page
SUMMARY AND CONCLUSIONS ............................................. vi
CHAPTER I. Concentrations of the Herbicides Atrazlne and Linuron in
Agricultural Drainage, Tributary Estuaries and Littoral
Zones of Upper Chesapeake Bay
Acknowledgements........... ....... ......... .................... I-ii
Introduction.
Methods.
Results and Discussion.
References
Figures
Tables
Appendices
-1
2
-6
-15
-18
-29
-34
CHAPTER II. Temporal Responses of a Submerged Vascular Plant and
its Associated Autotrophic Community to Atrazine
Stress in Estuarlne Microcosms
Acknowl edgements Il-i i
Abstract II-l
Int roduct 1 on 11-2
Materials and Methods II-3
Results and Discussion 11-6
References 11-22
CHAPTER III. Effects of Atrazine and Linuron on Photosynthesis
and Growth of Potamogeton perfoliatus and Myriophyllum
splcatum 1n Estuarlne Microcosms
Introducti on 111-1
Materials and Methods III-2
Results and Discussion 111-9
Implications: Herbicides and Estuarlne Vascular Plants 111-29
References 111-37
Appendi ces II1-41
CHAPTER IV. Atrazine Uptake, Phytotoxlcity, Release, and Short-
Term Recovry for the Submerged Aquatic Plant,
Potamogeton perfoliatus
Abstract IV-1
Introduction IV-2
Materials and Methods IV-3
Results and Discussion IV-5
111
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Page
Conclusions IV-15
References IV-16
CHAPTER V. Uptake and Phytotoxicity of So1l-Sorbed Atrazlne for
the Submerged Aquatic Plant, Potamogeton perfoliatus
Abstract V-l
Introductl on V-2
Materials and Methods V-3
Results and Discussion V-4
References V-10
CHAPTER VI. Degradation of Atrazine in Estuarine Water/Sediment
Systems and Selected Soils
Acknowledgements VI -11
Abstract VI-1
Introduction VI-2
Materials and Methods VI-3
Resul ts and Di scussion V1-6
References VI-19
CHAPTER VII. Uptake and Photosynthetic Inhibition of Atrazlne
and its Degradation Products on Four Species of
Submerged Vascular Plants
Acknowledgements. VII-11
Abstract VII-1
Introduction VI1-2
Materials and Methods VII-3
Results and Discussion VI1-4
References. VI1-14
CHAPTER VIII. Effects of Nutrient Enrichment in Experimental Ponds
Containing Submerged Vascular Plant Communities
Table of Contents VIII-11
List of Figures VIII-lv
Introduction VIII-1
Materials and Methods VIII-2
Results VI11-8
Discussion VIII-30
References VII1-54
Appendices VII1-61
iv
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Page
CHAPTER IX. The Decline of Submerged Vascular Plants 1n Upper
Chesapeake Bay: Summary of Results Concerning
Possible Causes
Acknowl edgements IX-ii
Abstract IX-1
Int roductl on IX-2
Approach to Problen IX-4
Herbicide Inputs, Fate and Phytotox1c1ty IX-4
Suspendable Sediments and SAV Light Responses IX-7
Nutrient Enrichment and Algal-SAV Relations IX-11
Synthesis of Findings and Implications IX-14
References IX-19
Regional Center lor hnuronniniral Information
US f-P\ Region Ml
165(1 AK h Si
Philadelphia P4 1<)I»3
. EPA Region III
Regional Center for Environmental
Information
1650 Arch Street (3PM52)
Philadelphia, PA 19103
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SUMMARY AND CONCLUSIONS
This report presents results of research conducted at University of Mary-
land's Center for Environmental and Estuarine Studies concerning factors poten-
tially involved in the decline of submerged aquatic vegetation (SAV) in upper
Chesapeake Bay. This research examines three main factors in relation to SAV
growth and production: agricultural herbicides; suspended sediments and associ-
ated light attenuation; nutrient enrichment and resulting algal growth and
light attenuation. A few ongoing studies (e.g., Goldsborough 1983, Staver
1983) are not included here; however, in this discussion some reference is
made to their findings which will be available soon. The results of other
relevant studies are summarized elsewhere (Boynton et al. 1983; Wetzel et al.
1983).
Considerable effort was expended to investigate the potential importance
of herbicides in contributing to the overall stress of the estuary's SAV popula-
tions (Chapters I-VII). This research emphasized two specific compounds. The
first of these, atrazine, which is closely associated with corn crops, has
been the most widely used herbicide in the region, while the second compound,
linuron, is commonly employed in weed control for soybeans. Concentrations of
these two herbicides were monitored in water and sediments throughout the
upper bay over the period 1980-81 (Chapter I). A hierarchically designed
stratified sampling scheme revealed typical aqueous concentrations of both
compounds to be about 0-3 ppb in the main bay, 0-5 ppb in a major eastern
shore tributary, and 0-40 ppb in a creek connecting a small estuarlne cove to
surrounding agricultural fields. Concentrations In the creek and small cove
were measured at l-4h intervals before, during and after all runoff events,
and values above 5 ppb never persisted for more than 6-8 h. Atrazine concen-
trations associated with suspended or deposited sediments were less than 5 ppb
for > 95% of samples and never exceeded 20 ppb.
Initial studies indicated a wide range of physiological and morphological
responses of one common SAV species, Potamocjeton perfoliatus, in response to
herbicide treatment, including photosynthetic depression, stem elongation,
reduction 1n stem weight per unit length, and increased chlorophyll a per unit
leaf area (Chapter II). Several of these effects are analogous to observed
adaptations of this and related species to reduced light intensity (e.g.,
Goldsborough 1983).
At atrazine or linuorn concentrations between 5-100 ppb significant photo-
synthetic inhibition was observed for both _P. perfoliatus and Myriophyllum
spicatum in microcosms, followed by strong recovery (toward untreated control
plants) within 1-3 wk, eventhough herbicide levels remained within 5-10% of
initial values throughout (Chapters II and HI). Plant biomass decreased
significantly after 5 wk of treatment at herbicide concentrations > 50 ppb for
vi
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P. perfoil atus and > 500 ppb for H. spciatum (Chapter III). Overall, the
effects of the two herbicides were statistically Identical, while some differ-
ences between plant specie* were observed (M. spicatum being more tolerant).
Estimates of I^Q (herbicide concentration at which 1% loss of photosynthesis
(Pa) is predicted) were 2-4 ppb for P_. perfqliatus and 8-11 ppb for M.
spicatum, and values of 150 (concentration for 50% loss of Pa) range"? from
45-55 ppb and 80-117 ppb respectively. Similar phytotoxicities were observed
for Zannichellia palustris and Ruppla maritlma (Chapter VII).
Rapid uptake of ^C-labelled atrazine was demonstrated for P. perfoil atus,
with equilibrium between internal and external concentrations beTng achieved
within about 1 h (Chapter IV). A direct relation between atrazine uptake and
photosynthetic depression was observed for this plant; however, disproportion-
ately high apparent uptake at low external herb'dde concentrations suggests a
two-step uptake process with simple sorptlon (without inhibition of photosyn-
thesis) dominating at low concentrations. Root uptake of atrazine appears to
be of little Importance for these plants. Initial photosynthetic recovery of
atrazine-treated plants was effected by release of sorbed herbicide within 2 h
after rinsing in atrazine-free water. Some (~ 5%) loss of photosynthesis
was evident after 3 d of wash; however, this difference was not statistically
significant. Short-term (2 h) experimental exposures to atrazine revealed
reductions in £. perfoliatus photosynthesis which were similar to those observed
over 2-6 wk 1n~~microco3ms, with values of 159 being about 80 ppb.
Atrazine is readily sorbed to soil and sediment particles, with a parti-
tion coefficient (sorbediaqueous) greater than 1.0 (Chapter V). However, the
potential importance for plant uptake of atrazine sorbed to overlying sediments
(resting on SAV leaves) seems to be remote. Experiments with ll>C-label1ed
atrazine showed negligible plant uptake of herbicide sorbed to soils concentra-
tions of at about 120 ppb. In addition, the presence of epiphytic sediments
significantly retarded leaf uptake of aqueous atrazine, although such sediments
themselves Inhibited photosynthesis presumably by attenuation of light and
reduction of CO? utpake.
The degradation of 1<4C-1abelled atrazine was observed under simulated
field conditions for upper and middle bay sediment-water systems and for two
common agricultural soils In the Maryland coastal plain. The distributions of
atrazine and two categories of metabolites or degradation products (hydroxy-
atrazine and dealkylated atrazine) were followed over an 80 d period. The
half-life (time for 50% degradation to metabolites) for atrazine was markedly
shorter for estuarine systems (15-20 d) than for soils (330-385 d). The accum-
ulation of hydroxyatrazine in experimental estuarine water and sediments raised
questions concerning the potential phytotoxicity of these compounds. Bioassay
experiments were performed with 4 species of SAV to examine uptake and photo-
synthetic depression for uC-labelled atrazine and 3 metabolites (Chapter
VII). Overall, the Inhibitory effect of the metabolite, hydroxyatrazine, on
plant photosynthesis was negligible compared to that for atrazine, with no
significant inhibition even at 1500 ppb. Some significant loss of Pa was
observed for deethylated atrazine at 500 ppb; however, this metabolite has a
short half-life in the estuary, being similar to that for atrazine.
The effects of nutrient enrichment on algal (plankton and epiphytes)
vii
-------
growth and SAV production and abundance were Investigated by fertilizing 8
(duplicates at 4 levels) experimental ponds (500m2) during June-August
1981 (Chapter VIII). These ponds, which were seeded with sediment, water and
plants from the Choptank River estuary, were maintained In batch-mode for
sequential periods of 7-10 d punctuated by complete exchange of water followed
by retreatment prior to the next batch period. Maximum fertilization rates
were typical of nutrient loading In areas of upper Chesapeake Bay receiving
direct agricultural runoff. Nutrient concentrations 1n treated ponds *ere
reduced rapidly to control levels within 1-3 d, and plant tissue nutrient
contents were directly related to treatment. Initial growth of the two domin-
ant SAV species (P. perfollatus and £. maritime) was enhanced 1n fertilized
ponds; however, pTani abundance 1n August was inversely related to treatment,
with SAV virtually eliminated at the highest dosage.
Planktonic and epiphytic algal biomass (as chlorophyll a) increased sig-
nificantly with treatment. Light (PAR) attenuation by mlcroTlgae was suffi-
cient to account for the reduction in SAV production and abundance in August.
Epiphytic growth accounted for most of the light reduction although attenuation
in the water column was also necessary to reduce PAR below plant compensation
levels. Direct measurements of epiphyte effects on both PAR attenuation (by
leaf scrapings 1n petri dishes) and plant photosynthesis (with llfC-labelled
bicarbonate) confirmed this relationship. Preliminary evidence suggests that
a shortening of SAV growing season, as observed here 1n response to fertiliza-
tion, may ultimately lead to decimation of these plant populations by dis-
rupting plant reproduction. Light attenuation by microalgae and suspendable
sediments may affect the normal balance between SAV production and respiration
leading to premature-flowering and/or insufficient translocatlon to underground
propagates,I both of which would reduce the viability of regrowth 1n the fol-
lowing spring. It 1s concluded that further research is needed to understand
the reproductive capacities and strategies for these plants.
The results of 2 recent studies continuing this line of research are not
Included in this report but will be available soon. A second year (1982) of
fertilization in the experimental ponds provided a more detailed examination
of the nutrient-algal-SAV relationships (Staver 1983). Problems encountered
In the batch-mode approach in 1981 were alleviated with a continuous flow
system and more frequent treatment. In this 1982 study only 4 ponds were
used, and SAV communities in these were essentially mono-specific stands of _P.
perfollatus, thus eliminating the complicating problems of differential epi-
phytic colonization on 2 SAV species. The general patterns observed 1n 1981
were more pronounced and less equivocal in the 1982 research. Detailed studies
of the responses and adaptations of £. perfpliatus to (high 100X, medium 34%,
low 6X) light were also done 1n 1982 (Goldsborough 1983). Numerous morpho-
logical and physiological changes in this plant were observed in response to
reduced (moderate and low) light, Including stem elongation, Increased pigmen-
tation, increased specific leaf area, as well as Increased Initial slope for
photosynthesis versus irradlance relations. Most of these adjustments appear
to confer adaptive advantage on shaded plants; however, after 2 wk of exposure
to low light significant reductions in stem density, flowering and underground
reproductive propagules were observed.
A summary and synthesis of the research Included 1n this report 1s pro-
viii
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vided 1n the final chapter (IX). Here, we consider the relative contributions
of herbicide runoff, sediment loading <>nd nutrient enrichment to the environ-
mental stress experienced by SAV in upper Chesapeake Bay. Combining these
research findings in a simple conceptual framework as well as a numerical
simulation model suggested that the relative importance of effects on SAV
associated with these 3 inputs is as follows, nutrients > sediments » herbi-
cides. A narrative scenario is developed to interpret spatial and temporal
aspects of the SAV decline in light of this research, and potential resource
management strategies are discussed.
ix
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UMCEES 63-63 CBL
CHAPTER I
CONCENTRATIONS OF THE HERBICIDES
ATRAZINE AND IINURON IN AGRICULTURAL
DRAINAGE, TRIBUTARY ESTUARIES AND LITTORAL
ZONES OF UPPER CHESAPEAKE BAY*
April, 1983
Contribution No. 1431 Center for Environmental and EstuaMne Studies,
University of Maryland.
tHorn Point Environmental Laboratories, Box 775, Cambridge, MD 21613.
^Chesapeake Biological Laboratory, Box 38, Solomons, MD 20688.
1-1
W.R. Boyntontf I
J.C. Means# and J.C. Stevensont '
with i
W.M. Kemp-; 1
R. Twllleyt
J
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ACKNOWLEDGEMENTS
Many individuals contributed to the successful completion of this survey
and to these people we express our thanks. In particular we acknowledge the
enthusiastic assistance of M. Meteyer, N. Kaumeyer and K. Kaumeyer in
conducting our field work and laboratory analyses and K. Staver for help in
sampling of agricultural drainage during storm events. Dr. Randy Sperry
provided statistical advice with support from Md. Dept. Natural Resources,
Power Plant Siting Program. The R.V.'s Orion and Venus were operated by
Capts. W.C. Keefe and R. Younger, respectively. This research was supported
by a grant from EPA's Chesapeake Bay Program (Grant No. CR 805932-01-02 Task
7).
I-ii
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INTRODUCTION
Although herbicides have provided effective weed control resulting in
higher crop yields and are a necessity for modern no-till agriculture
(Phillips et al. 1980), they may also have deleterious environmental effects
upon non-target species (Galston 1979). Recently there has been concern that
herbicide runoff from agricultural fields may have played a role in the
decline of submerged aquatic vegetation (SAV) in Chesapeake Bay (Stevenson and
Confer 1978). Early changes in SAV populations coincided with increased
herbicide usage in the Chesapeake watershed in the 1960's (Bayley et al.
1978). During that period the principle herbicide was atrazine
(2-chloro-4-ethylamino-6-isopropyl-amino-s-triazine) which was applied to
large acreages of corn. Later, other herbicides such as linuron
[3-(3,4-dich1orophenyl)-l-methoxy-l-methylurea], were also used widely because
of a shift to soybeans which were planted in rotation with corn every other
year.
Previous reports of the presence of atrazine residues in aquatic systems
receiving runoff from agricultural areas showed concentrations could reach 20
pg JT1 (Waldron 1974, Richard et al. 1975, Miur et al. 1978, Schepers et al.
1978, Frank et al. 1979, Roberts et al. 1970). However, these studies were
all done in freshwater systems which differ in many ways from estuaries such
as Chesapeake Bay. The possibility of high herbicide levels in Chesapeake Bay
waters was first suggested by Correll et al. (1978) who reported dissolved
atrazine and linuron concentrations in the range of 1-10 ppb in several upper
bay tributaries and up to the ppm range in sediments. However subsequent
measurements by Austin (see Stevenson and Confer, 1978) and Newby et al.
(1978) in surface waters of the open bay showed concentrations rf atrazine
only as high as 1.0 pg jr* and concentrations declined rapidly in a
non-conservative manner to undetectable levels (<0.1 vg JT*) in a seaward
direction. Similarly, Zahnow and Riggleman (1980) reported that
concentrations of the pheuylurea herbicide linuron were non-detectable (<.01
ug 1~1) in either the water column or sediments in several tributary rivers of
the bay, including the Choptank and Rhode River estuaries. The variability
between these studies may have resulted for a number of reasons, including:
the proximity of sampling times to run-off events; the persistance of
different herbicides in estuarine waters; the location of sampling stations
relative to herbicide source area (littoral zone vs. open bay waters); and
differences in herbicide loadings due to annual variations in precipitation
and resultant runoff.
In view of these uncertainties, and the limited amount of herbicide data
available, we conducted a three-phase investigation of selected herbicide
(atrazine and linuron) concentrations in the upper Chesapeake Bay (Maryland
portion of bay). The first phase of this investigation documented herbicide
concentrations in water and sediments at 23 littoral zone sites throughout the
1-1
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upper bay where SAV communities were: (1) still present; (2) now absent but
had been present in the recent past or; (3) had not been present for at least
two decades. The second phase involved monthly measurements of herbicide
concentrations along the longitudinal axis of a major upper-bay tributary
(Choptank River estuary) receiving drainage from an agriculturally dominated
watershed. The third phase involved detailed monitoring of herbicide
discharge from an experimental agricultural watershed where application rates
were known. Our objectives were to develop a preliminary description of the
time-space characteristics of herbicide concentrations in the upper bay and to
relate these field observations to in situ distributions of SAV and to
experimentally derived relationships between SAV growth and herbicide dose.
METHODS
Sampling Design
Herbicide concentrations in water (dissolved) and sediments were
monitored at twenty-three shallow water (0.5 - 1.0 m depth) sites in the upper
Chesapeake Bay (Fig. 1; Table 1) on 4 occasions (23-28 April; 11-16 June;
24-29 July; 15-22 September in 1980). Sampling areas were chosen along the
open bay shoreline throughout the upper bay, in tributary rivers and in
hydrodynamically quiescent coves to provide a representative sampling of SAV
habitats. In each habitat area several stations were identified and included:
(1) those having SAV communities (Status I as indicated by the 1978 aerial
surveys of Anderson and Macomber, 1979); (2) sites at which SAV had been
present prior to 1969 (Stotts, pers. comm) but had not been present within the
last decade (Status III); and locations which had not supported SAV
communities at least since 1959-61 (Status IV). During the present study
there were 3 sites where vegetation had been present in 1978 but failed to
appear in 1980; these stations were designed as being Status II.
Atrazi ne and linuron were also measured monthly from April through
September at 4 to 7 locations along the longitudinal axis of the Choptank
River estuary, a major eastern shore tributary of Chesapeake Bay (Fig. 2).
Sampling sites were selected based on salinity (S) conditions in the estuary
during each cruise such that there was equal increment in surface salinity
among stations from tidal-freshwater (5=1 ppt) to the bay (S=9-17 ppt). In
addition, one station was routinely sampled at a site mid-way from the main
channel and littoral zone station SI-14 (Todds Cove). A single water sample
was collected at 0.5 m at each station for dissolved residue analyses. In
addition one sediment grab was also collected at each station and a sub-sample
of surficial material (top 5 cm) was analyzed for residues. On an occasional
basis, 10-20* of near-surface water was filtered and the particulate fraction
analyzed for residues.
A controlled agricultural watershed (Fig. 3) was monitored to estimate
herbicide delivery to the Choptank River estuary. Runoff and tidal influences
were monitored using aim width Pars hell flume (Lomax et al. 1979).
1-2
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tT
Downstream from the flume, four additional stations were also sampled, the
last being adjacent to the Choptank River. Runoff events were monitored prior
to application of agricultural fertilizers and herbicides, immediately
following application and during the summer period after the emergence of
field crops. Herbicide runoff was also monitored on a weekly basis during
1981 at the U.S. Geological Survey gauging station at Beaverdam (located on
Kings Creek which enters the Choptank River 55.5 km upstream of the mouth)
which drains a larger watershed.
All water samples for herbicide analyses were collected in pre-cleaned
and solvent washed 2 liter glass jars with aluminum foil-lined caps.
Immediately after sampling, a 1 liter aliquot of each sample was filtered
through precombusted Whatman GFC glass fiber filters (1.2 \im) and pumped
through a pr-cleaned SEP-PAK Cjg cartridge at a rate of 3 mi mirrl to
concentrate herbicide residues. After the sample was pumped, the bottle was
washed down with 50 mjt of distilled water and was also pumped through the
SEP-PAK. Finally, 15 nu of distilled water was pumped through the SEP-PAK to
remove salts. The SEP-PAK cartridges were placed in individual pre-cleaned
and solvent washed 50 mt capped vials and frozen at -20 C until analyzed in
the laboratory. The balance of each water sample was refrigerated at 4 C as a
reserve sample until all analyses are completed on the pumped aliquots.
Sediment samples for herbicide analyses were collected using a stainless
steel coring device (4 cm diameter x 60 cm). Triplicate 10 to 15 cm cores
were collected and the top 5 cm were subsampled in the field for analysis.
The sediment cores (1 kg wet sediment per replicate) were stored in
pre-cleaned and solvent washed one quart glass jars with aluminum foil-lined
caps and frozen at -40 C until analyzed. At selected stations water samples
were collected and analyzed for pariculate bound herbicides. A 20 liter
sample was filtered in the field through precombusted Whatman GFC glass fiber
filters and the filters wrapped in aluminum foil and frozen at -40 C until
analyzed.
Herbicide Analysis
All glassware and apparatus used in herbicide extraction and clean-up
procedures were washed with glass distilled deionized water and pesticide
grade methanol. The extraction of frozen sediment was achieved by weighing
the frozen material in a tared, pre-extracted soxhlet thimble. The samples
were extracted in a Soxhlet apparatus for 24 hours with 200 mi of
distil led-in-glass (DIG) methanol (Burdick and Jackson, Muskegon, MI).
Following extraction the samples were dried to constant weight to obtain the
dry weight of material extracted.
The methanol extracts were dried over anhydrous sodium sulfate,
evaporated in a rotary vacuum evaporator to approximately 10 m* of DIG
methanol for analysis. Some samples required clean-up prior to analysis.
When this was necessary, the entire 1 mt sample was passed through a
preparative reverse-phase liquid chromatcgraphlc column (Bondapak Cjo) using a
solvent system of 50:50 methanolrwater solvent system. The fraction(s) for
atrazi ne and/or linuron were collected, evaporated under nitrogen and taken up
to 1 ml of DIG methanol for quantitative analysis.
1-3
-------
The ShP-PAK containing water column residues were eluted with 5 m* of DIG
methanol and the eluent was evaporated under a stream of nitrogen and taken up
in 1 m* of DIG methanol containing a known quantity of an internal standard
(diphenylamine) for a quantitative analysis.
Atrazine residues were quantified using a Hewlett-Packard 5840 gas
chromatograph equipped with a 2 mm ID x ? M all-glass column packed with 10
percent Carbowax 20 M on 80/100 Supelcoport. The column was maintained at a
temperature of 160 C and the injector and detector were held at 225 C and 300
C, respectively. An alkali-flame nitrogen-phosphorus specific detector was
used to measure the amount of atrazine and internal standard in a 4 ji£ sample.
Quantification was achieved by comparing the atrazine/internal standard ratio
(AT/IS) to a calibration curve of AT/IS vs. atrazine concentration.
Linuron residues were analyzed using a Waters Associates 6000A liquid
chromatograph equipped with a \i Bondapak-Phenyl (Trade name) column, a model
440 fixed wavelength ultraviolet detector (254 pm), a Perkin-Elmer M-2
electronic integrator and a Linear 159 chart recorder. Twenty microliter
sanples were introduced onto the column using a Rheodyne 7125 injection valve
and eluted using an isocratic solvent system of 35 percent acetonitrile/water.
Areas under the sample peaks were integrated and quantified by comparison with
a calibration curve.
Quality Assurance Program for Analysis of Herbicides
As an integral part of the analytical program for this study, a quality
assurance (QA) program was developed which included both frequent internal
checks and periodic external checks on the precision and accuracy of the
analytical methods employed for trace analyses of herbicides in water,
suspended particulates and sediments of Chesapeake Bay.
The internal program for quality assurance started In the field and
included the establishment of sampling protocols and storage procedures which
ensured that herbicide residues present in the samples at the time of sapling
would not degrade or volatilize from the samples. During the first year of
this study storage experiments were performed both internally and as part of
an external QA audit to assure that the integrity of the samples was
preserved. These studies indicated that no detectable losses of sample at
environmentally realistic levels (1-2 ppb) occurred under the conditions used.
The details of the sampling and storage techniques are presented in the
methods section of this report.
With the large number of samples being collected and analysed, record
keeping was recognized as an important component of our QA program. The
following steps were taken to insure continuity of sample Identification and
data reporting.
1. All samples were labeled at sampling with the date, site
of origin and sample type. These data were also entered
1n a continuous logbook at the time of sampling. Field
work sheets documenting the sampling data and site
1-4
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-
.
information were also filled out at each station.
2. A second book contained all of the written laboratory
methods employed for sampling, storage, extraction,
concentration and analysis.
3. All weights and measures used during the preparation of
the samples for analyses were recorded in a laboratory
record book along with the appropriate sample
identification information.
4. All analytical data relating to the quantitation of the
herbicide residue were kept on the chromatograms.
This last step was the most convenient for us since: 1) the integration
data and quantifications were printed on the chromatograms in one case or were
printed on a tape and stapled to the corresponding chromatogram and 2) this
allowed us to keep the standard chromatograms and sample chromatograms together
for future reference. Each working standard curve used for quantitation was
also retained in the file. Our methods were set up such that a minimum of
calculation was necessary. Peak areas or area/area ratios (internal
standard/sample) were divided by the slope of the working calibration curve and
corrected for concentration factors or extraction weights. Quantitation data
summaries for logical groups of samples (i.e. 1979 field HgO samples; 1980
linuron f^O samples; etc.) were then prepared.
At the analysis stage, the Internal QA program was centered upon
maintaining a consistantly high level of analytical results. The program was
designed to insure: 1) quantitative recovery of herbicide residues from water
and sediment samples, and 2) accurate, reproducible and precise determination
of the concentrations of herbicide residues in water, suspended particulates
and sediment extracts. The program included the following steps:
1. Preparat"'"!! of fresh standards from 99.5+% pure analytical
grade compounds and intercomparisons of old standards with
new standards every two weeks.
2. Daily three-point checks of working standard curves and
recalibration of instruments before sample analysis and
preparation of new standard curves when instrument
parameters were changed (i.e., new column, new detector
bead, etc.).
3. Method blanks (water, solvent, SEP-Pack) were run with
each batch of samples. All blanks were below our
detection limit.
4. Blind samples with known residues were periodically
inserted in the sample analysis schedule. No sample
varied more than 10$ from the known amount.
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•*-*—
\
b. Une In 10-12 samples was analyzed In duplicate. No
variations of more than 10% were observed.
6. All samples were injected in duplicate. If results varied
by more than 5%, the samples were reanalyzed.
7. Samples which were analyzed were reanalyzed with a known
spike. Recoveries of 90-100% were considered acceptable.
8. Mass spectral confirmation using a three ion/selected ion
monitoring technique was employed on field samples with
significant residues (>0.6 ppb) to confirm the identity of
the herbicide residue and to cross-check the quantitation.
In addition to the internal program for QA the laboratory was evaluated
three times by external QA auditors. In each case, blinded samples were
received, spiked in duplicate into estuarine water, and analyzed by the normal
laboratory protocols. In each case, the results of our analyses were within
the acceptable limits of accuracy, reproducibility and precision. (Appendix
Tables 10 and 11).
The following methodological parameters were determined in these external
audits.
ATRAZINE LINURON
Accuracy* +_ 15
Reproducibility (1 ppb} + 3.0% ±2.9%
Precision + 0.016 +0.006
Detection Limit 0.05 ppb (water) (J.05 ppb (water)
0.1 ppb (sediment) 0.1 ppb (sediment)
* includes extraction efficiency
As stated earlier, the first external QA audit Included a check on sample
storage procedures. No significant losses were observed using our storage
protocols.
RESULTS AND DISCUSSION
Upper Bay Littoral Zone Investigations
Measurements of dissolved atrazine and linuron concentrations, as well as
SAV biomass measurements, associated with the littoral zone investigations are
listed in Appendix Table I. During the April, June, July and September
cruises, atrazine concentrations ranged from
£0.05-0.3 ppb, £0.05-1.14 ppb, £0.05-0.4 ppb and £0.05-0.93 ppb,
resprectively. Maximum dissolved atrazine concentrations were consistently
less than 2 ppb and the majority of samples yielded concentrations below the
detection limit (0.05 ppb). During the April and June sampling periods
1-6
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linuron residues were below the detection limit (0.05 ppb) at all 23 stations
while in July and September concentrations ranged from ^0.05-1.3 ppb and
^0.05-0.75 ppb, respectively. The lack of detectable linuron residues in
April and June was attributed to the fact that large quantities of this
herbicide are usually not applied until July when soybeans are planted.
To provide a broad view of dissolved herbicide distribution in the upper
bay we have summarized our data by averaging concentration measurements from
similar geographical areas during each of the 4 sampling periods (Table 2).
Atrazine residues above detectable concentrations were observed earlier in the
year and within more geographical locations in the bay than was the case for
linuron. For example, dissolved atrazine X).l ppb occurred at 32-36% of our
stations from April-July while such concentrations of linuron were exceeded at
only 13-20% of stations in July and September. Finally, for both herbicides,
averaged concentrations were generally higher in either the upper bay or tidal-
fresh tributary areas than in other geographical groupings, although some
exceptions occurred (e.g. mid arid lower bay in April).
While averaged herbicide concentration data is useful in providing a
general view of conditions in the upper bay, the time-space occurrence of
maximum concentrations is also important (Table 3) particularly since it
appears that short-term (1 hr) exposure of seagrasses to atrazine can depress
photosynthetic rates (Jones et al., 1983). In April maximum dissolved
atrazine concentrations were relatively low in all areas (jCO.05-0.30 ppb) but
tended to be somewhat higher in the mid and lower bay groups (Si's 1 and 24).
However, maximum concentrations in June, July and September tended to occur in
the upper bay and/or tidal fresh tributaries, paralleling the trend in the
averaged data presented in Table 2. For reasons that are not clear at this
time, stations in the vicinity of the Patuxent River estuary (Si's 1, 2 and
27) consistently had ths highest concentration in the mid-bay region and in
the tidal freshwater category on 2 of 4 occasions (SI-27). Except that
detectable concentrations of dissolved linuron were not observed in the April
and June surveys, the spatial pattern of maximum concentrations closely
paralleled that observed for atrazine.
Sediment concentrations of atrazine and linuron were measured at each of
the 23 littoral zone sites during each survey. Detectable concentrations are
given in Table 4 and the results of all analyses are contained in Appendix 2.
Detectable concentrations in surficial sediments were generally lower and much
less frequently observed than in the water column. Detectable levels of
atrazine (>0.1 pg kg"*) were found in bottom sediments only 5 times during the
entire survey (total sample number = 82) and none exceeded 1.0 ug kg-1.
Atrazine residues were most frequently encountered in June and all occurred in
the upper bay (Si's 5 and 7) or tidal-fresh tributaries (SI-18). Linuron
concentrations in sediments exceeded limits of detectability at only 1 site
(SI-23; 0.51 pg kg"*) near the town of Crisfield in September. It appears
that little of either atrazine or linuron remains associated with sediments in
the estuary. Cunninghan (1980) showed that over 90% of atrazine adsorbed to
sediment is released when placed in estuarine water. In addition, Jones et
al. (1982) reported that atrazine in the water column degrades rapidly with a
half-life of 1-2 weeks, suggesting that estuarine concentrations may be
-------
ephenierel. Linuron has an even faster degredation rate in estuarine waters
(Means et al., 1983) which may account for its even lower frequency of
occurrance in the study area.
Choptank River Longitudinal Survey. 1980
To obtain a more detailed characterization of herbicide distributions in
one area of the bay, monthly samples were taken along the longitudinal axis
(channel stations) of the Choptank River estuary, t .e watershed of which is
agriculturally dominated. Station locations were given in Figure 2, and all
measurements of dissolved atrazine and linuron concentrations are listed in
Appendix Table 3 and summarized in Figure 4. The general pattern that emerged
for both compounds was one in which concentrations were near or below
deto^Mon levels in the early spring (April and May) and late summer
(September) and in the range of £0.05-1.0 ppb luring the months of June, July
and August. There was some indication that highest residue concentrations
occu-red in the tidal-fresh region as might be expected since the ratio of
river volume to drainage area is minimal and hence the potential for dilution
is limited. However, on several occasions elevated concentrations were found
in other regions of the estuary suggesting that inputs from adjacent
agricultural fields might oe of sufficient magnitude to elevate residue
concentrations in the mainstan channel areas. In any case, dissolved
concentrations were generally below 1.0 ppb throughout the study area and
never exceeded 2.0 ppb. Of the 38 stations sampled, 53% exhibited residue
concentration of atrazine below detection levels and only 26% had
concentrations X10 ppb. Only 16% of the stations sampled showed significant
concentrations of lir.uron.
Consistent with the results of the upper bay littoral zone survey,
sediment concentrations of atrazine and linuron were even lower and detectable
concentrations (X). 1 ug kgr^) were rarely encountered (Appendix Table 4). In
fact, of the 38 stations sampled only 2 had detectable concentrations of
atrazine or linuron. While considerably fewer samples were analyzed for
herbicide residues associated with the suspended particulate fraction, we did
not detect significant concentrations (M).l pg k(fl) in any of samples
analyzed (Appendix Table 5).
Agricultural Runoff Studies
In 1980 relatively low spring precipitation caused very low superficial
water tables in the Choptank River region where our intensive runoff studies
were centered. The silty-clay Mattapax soils of this region have a high
moisture holding capacity and can absorb large quantities of water when dry.
As a result of the precipitation-soil conditions evidenced in 1980, there was
virtually no measurable runoff prior to July and hence it is doubtful that
data collected during this period are representative of more normal years. In
any case, concentrations of dissolved atrazine and linuron measured during
1980 at several locations on the Horn Point Experimental watershed are listed
in Appendix Table 6 (see Fig. 3 for station locations). During the monitoring
1-8
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f>
period, concentrations of linuron in agricultural base-flow drainage ranged
from below our level of detection (^0.05 ppb) to 2.61 ppb in a small embayment
(pond) adjacent to the Choptank River. Peak atrazine concentrations ranged
from 8.2 ppb in the flume to 18.1 ppb immediately downstream adjacent to a
cornfield. Atrazine concentrations were more frequently in excess of 1.0 ppb
earlier in the year, suggesting that even when baseflow runoff is the
predominant means of transport, maximum concentrations still occur shortly
after application of these compounds. During dry conditions we also found
that elevated herbicide concentrations were largely restricted to drainage
ditches connected to agricultural fields. As indicated in Appendix Table 6
all samples taken from the Choptank adjacent to agricultural fields exhibited
residue concentrations below detection levels, even when appreciable
concentrations were observed in drainage creeks. Apparently degradation rates
for these compounds are sufficiently rapid (Jones et al. 1982) coupled with
dilution in estuarine waters such that elevated concentrations were not
observed in open waters of the Choptank adjacent to the experimental watershed
i n 1980.
Of the 67 determinations of atrazine and linuron residues associated with
suspended particulates in the water column, only one sample exhibited a
significant concentration (Appendix Table 7). Similarly, atrazine and linuron
concentrations in soils collected from cropland and drainage chennels were
generally below detection levels (_<0.1 ugkg'M and never exceeded 1.2 ppb
(Appendix Table 8). Hence 1t appears that during 1980 there was little mass
transfer of herbicide in any form (dissolved or adsorbed) between fields and
estuary nor was there a significant accumulation of residues in cropland or
aquatic sediments.
However, in 1981 precipitation in the spring and early summer months was
near average and runoff events at the Horn Point Experimental watershed were
recorded up until mid-summer when a protracted dry period began. Also, flows
at Beaver Dam (Fig. 2) measured at the U.S. Geological Survey station on Md.
Rt. 331 were substantial following spring planting.
Atrazine is usually applied at a rate of 2.2 kg ha"1 during final disking
and seeding operations in conventional tillage of corn used by over 90% of the
fanners in the Choptank region (R. Wade, Agricultural Extension Agent,
Dorchester Co., MD). Normally, planting begins in late April on excessively
drained sandy soils (Gallstown) in this area; followed by planting in
moderately well drained soils (e.g. sassafrass) and finally proceeds to heavy
clay soils (e.g. Mattapex) in May when evapotranspiration dries up excessive
moistjre. Therefore in a large (1500 ha) watershed such as that around
Beaverdam Branch, there is a progression of application on various soils over
a number of weeks, which began in late April in 1981.
Despite its much larger size the Beaverdam watershed behaved similarly to
the Horn Point Experimental watershed except that concentrations were
detectable a little earlier than at Horn Point due to earlier application.
However, since the peak concentrations at Beaverdam was lower (9 ppb) during
the Intensive runoff period of May 11-15 (Figs. 5a and 5c) total delivery of
atrazine to the Choptank River was almost identical per watershed (Appendix
1-9
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Table 9). During the highest runoff month (May) an estimated 4.6 kg atrazine
was transported from the watershed, while only 0.2 kg and 0.07 kg were
transported in June and July, respectively. Therefore the total 1981 atrazine
leakage rate was in the range of Horn Point about 0.6% of the input. This
latter loading was derived from an estimate of corn acreage in the Beaverdam
watershed from a small plane and the recommended rate ot application for this
area (2.2 kg ha'1).
One of the reasons for this relatively low rate of atrazine leakage may
be that delivery occurred after the study period but Wauchope and Leonard's
(1980) formula suggests little leakage that late in the season. A more likely
reason is that relatively low pH which ranged from 4.5 to 6.8 during this
period reduced atrazine mobility. Runoff losses of atrazine have been
reported to be much lower in -inlimed soils and leaching increases with
increased pH (Gaynor and Volk, 1981). Another important factor is that the
relatively flat eastern shore landscape may preclude as much herbicide runoff
as that found on the western shore (1%) by Wu (1980). Therefore, herbicide
application on Maryland's eastern shore may present potential fewer
environmental problems than originally anticipated by Correl 1 et al. (1977).
In contrast to the extended period of herbicide application at the
Beaverdam watershed, 18 ha of corn was planted in only two days at the Horn
Point Experimental watershed beginning on May 4, 1981. Initial atrazine
concentration in ditches on this date was undetectable, demonstrating little
spray drift during application (Appendix Table 9).
A week after application, the largest runoff events of 1981 resulted from
a series of thunderstorms which passed over the region (Fig. 5c). At Horn
Point, 12.2 x 10^ nH of water passed through the flume in the agricultural
field over the period of May 11-15. Atrazine concentrations ranged from 1.6
to a peak of 13.7 ppb in samples taken over this period. An estimated 197 g
atrazine was lost downstream or about 0.5% of the total application (39.6 kg).
It appears that runoff throughout the basin was significant enough to increase
atrazine concentrations in the estuary proper (F1g. 5b) over those observed in
1980 (Fig. 4).
Although there were several small precipitation events later 1n the
month, none was large enough to promote runoff. In succeeding months, due to
declining atrazine concentrations, much less residue was delivered to the Bay.
In June an estimated 34 g was lost and 16 g in July. The total delivery
during this 3 month period accounted for 0.6% of the total application. Since
»i prolonged drought period began in late July, very little further herbicide
leakage occurred in 1981 from the Horn Point watershed. Also, although
soybeans were planted in July very low concentrations (<2 ppb) of linuron plus
little flow of water produced unestimatable low leakage of linuron. We
discuss the temporal coupling of runoff and herbicide application in more
detail in a later section of this report.
SAV-Herbicide Relationships
We had anticipated finding SAV communities at 10 of the 23 littoral zone
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r"
'
stations saripled in 1980 based on the results of the 1978 aerial surveys of
Anderson and Macomber (1979). However, at 3 sites (Si's 15, 20 and 23)
aboveground bicmass never appeared during 1980 and at all upper bay locations
where SAV was present in 1980 (Si's 4, 9 and 28), biomass disappeared prior to
the September sampling period. In addition, qualitative observations taken
since 1980 indicate that SAV has declined at other of our stations including
Si's 10, 13 and 14 (Staver, pers. romm.; K?umeyer, pers cornm.). In contrast,
SAV communities around Smith Island (SI-21) in the lower bay appeared robust
in late 1982 (Kemp, pers conm.). It appears that some declines in
distribution and abundance have occurred post-1978 and continued through 1982,
at least at the stations we sampled. The results of SAV biomass sampling are
listed in Appendix Table 1 and summarized in Table 5. In general SAV appeared
to be more ephemeral in the upper bay region than in the mid and lower bay
although the highest mean biomass observation was obtained at a location in
the upper bay (SI-28). With few exceptions (e.g. SI-28 in June; SI-14 in
July) SAV standing stocks were low compared to those observed in other SAV
studies in the bay (Kaumeyer et a!., 1980; Wetzel et al., 1980).
To explore our data for possible relationships between herbicides and SAV
abundance, dissolved atrazine and linuron concentrations measured during field
surveys were plotted against SAV biomass estimates (Fig. 6). The resultant
scatter plots suggest little in the way of strong patterns except that a broad
range in SAV biomass was associated with herbicide concentrations below our
level of detection. An alternative approach is to consider SAV status (i.e.
present, early disappearance in 1980, not present since 1969 and not present
since 1959-61) relative to observed herbicide concentrations. Specifically,
we calculated the percent occurrance of atrazine above levels of detection for
all four bay surveys for each SAV status group. Results indicated that
atrazine concentrations were above detection levels, 45%, 50%, 42% and 66% of
measurements in Status I, la (a sub-class of I where SAV disappeared early in
1980), III and IV areas, respectively. Again, strong trends did not emerge
although there was some indication that detectable herbicides were more
frequently associated with thosa areas where SAV had not been observed since
the 1959-61 period and in areas where SAV disappeared early in the 1980
growing season. The frequency of atrazine occurrance was similar in areas
with normal SAV in 1980 and in those areas where SAV had not been observed
since 1969. However, if the above calculation is done using 0.5 ppb as a
criteria for significant herbicide presence, a stronger pattern appears
wherein this criteria is equalled or exceeded in 7%, 20%, 13% and 42% of
observations in areas having SAV Status I, la, III and IV, respectively.
While this is more suggestive of herbicide influence the pattern may be the
result of some other factor co-varying with herbicide presence (nutrient
and/ >r sediment effects on light attenuation). In the case of SAV it has been
postulated that nutrient enrichment and light attenuation by sediments, in
addition to herbicides, may be stressing or limiting the distribution of these
communities in the bay (Stevenson and Confer, 1978). The results of other
experiments and field studies conducted as part of our overall SAV program
were syntheized into an ecosystem simulation model, the results of which
suggested the relative potential SAV stress of 3 factors to be
nutr1ents>sed1ments>herbicides (Kemp et al., 1983).
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While these studies indicated a secondary role for herbicides as an
influence on SAV distributions in the upper Chesapeake, it is not possible to
completely discount herbicides as a factor in some areas of the bay for
several reasons. For example, in the field studies reported here our sampling
schedule was sufficiently discontinuous ( 6 wk intervals) such that we could
not consistently detect short-term elevations or depressions in herbicide
concentration due to runoff events in all littoral zones of the bay and hence
our herbicide values only represent instantaneous concentrations. However,
elevated, but apparently ephemeral, herbicide concentrations occur and may
represent a stress to SAV in some areas of the bay. Jones et al. (1982), for
example, has shown that SAV photosynthesis was depressed even when exposure
times were short (1 hr) and recovery took 4-8 hr in herbicide-free medium. In
the course of experimental dose-response studies (Kemp et al., 1983) we did
not test for the cumulative effects of repeated pulse exposures of SAV to
herbicides and thus the effects of this type of exposure remain unknown.
Additionally, the frequency of field measurements of herbicides were not
sufficiently intense to determine the maximum levels of herbicide to which
natural SAV communities were exposed.
An alternative procedure for evaluating possible impacts of herbicides on
SAV is to compare in situ herbicide concentrations with the results of
herbicide dose-response experiments conducted in conjunction with this study.
A summary of the results of laboratory work reported by Kemp et al. (1983) is
presented in Fig. 7. Herbicide concentrations causing 50% inhibition (
SAV net photosynthesis (Pa) ranged between 55-117 ppb and 45-80 ppb for
atrazine and linuron, respectively. Concentrations causing incipient (1%)
inhibition of Pa ranged from 2-11 ppb, consistently higher than concentrations
observed in littoral zones throughout the upper bay. Values for IJ^Q and IJQ
for SAV biomass were similar to those reported for macrophyte photosynthesis.
As indicated earlier in this report, maximum concentrations of atrazine
and linuron approached 50 and 20 ppb, respectively, during a strong runoff
event in May, 1981. More frequently concentrations were in the range of 1-10
ppb and existed for only short periods of time (2-8 h) being rapidly
dissipated by dilution and degradation. Although some species may be more or
less sensitive to herbicide stress than those we studied (e.g. Walsh et al.,
i982; Correll and Wu, 1982) our in situ field observations of herbicide
concentration coupled with laboratory dose-response work suggests that while
herbicides may stress plants in some estuarlne areas it is difficult to
conclude that these compounds were primarily responsible for the bay-wide
decline of SAV communities.
Annual Variability in Herbicide Concentrations
In this section we summarize some observations concerning the potential
for significant annual variations in herbicide concentrations in the bay.
Necessarily, much of what can be said is circumstantial but may still be
useful in judging the representativeness of the data collected in 1980 and
1981.
In Fig. 8 we have summarized several features of freshwater flow from the
1-12
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Susquehanna River for purposes of placing the results of the 1980 studies in
perspective relative to this potential herbicide source. Considerable
variation was evident among annual average flows as well as intra-annual flows
between 1976-1982 ranging from about 52,000 cfs in 1979 to about 29,000 cfs in
1980 (Fig. 8). In this view 1980 was a low-flow year, as was 1981 and 1982.
Concentrations of atrazine detected in the Susquehanna River at Conowingo
Dam (U.S. Geological Survey, 1982) were plotted against river flow and are
shown in Fig. 9. With few exceptions detectable herbicide residues wer
associated with low river flow. Of the 14 occasions when detectable residues
were observed, 12 occurred at river discharge rates below 40,000 cfs and the
majority occurred at flows less than 20,000 cfs. Most of these lower flows
occurred during May-September suggesting that herbicides entering the bay were
largely derived from compounds applied to croplands in the spring or summer of
the same year. The lack of detectable residues during the winter-spring
freshet further supports this contention. Finally, there was little if any
pattern in atrazine concentration among the years for which data were
available, even though there were considerable differences in river discharge
characteristics. In general, concentrations ranged from <0.1 ppb to 1.2 ppb,
with values commonly in the range of 0.2-0.6 ppb between 1978 and 1981.
Atrazine concentrations measured at upper bay stations (e.g. Si's 4, 5,
6, 7, 8 and 28) in 1980 were generally comparable to those observed in
discharge over the period 1978-1981. In fact, atrazine and linuron
concentrations along the mainstem of the bay in 1977 and 1980 were generally
comparable (Fig. 10). From the data available, it seems reasonable to
tentatively conclude that dissolved concentrations of atrazine in the upper
bay and along the mainstem are generally below 1 ppb and do not exhibit strong
annual variabilities.
However the situation may be somewhat different in tributary rivers. In
areas dominated by agriculture it appears that higher (10 ppb) herbicide
concentrations can occur, even if only for brief periods of time. These
events appear to be related more to local rainfall patterns and herbicide
application times than to more general features of climate and river flow.
Kemp et al. (1981) summarized atrazine runoff data reported in several studies
and found that the total amount of residue transported into waterbodies was a
function of the timing of the first runoff event after herbicide application;
the longer the time interval between application and initial runoff event the
lower the prcentage of applied herbicide which was removed. Uauchope and
Leonard (1980) found an exponential decrease in concentration of atrazine with
increasing time interval between application and initial runoff event. These
results are consistent with those reported earlier in this paper. Since a
strong runoff event occurred at the experimental watershed at Horn Point only
3 days after herbicide application in 1981, resultant concentrations may
approximate maximum values to be expected in such tributary rivers (Fig. 5b).
IP any case, it appears that considerable short-term variability is to be
expected in herbicide concentrations in waters derived from agricultural areas
and tributary waters due to the interaction of application date and subsequent
runoff events and the limited dilution potential of small creeks and rivers.
Because of these transient events, it may well be worth investigating the
1-13
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cummulative response of SAV to repeated short-term exposure to elevated
herbicide concentrations.
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i
LITtRATUkh CITED
Anderson, R.R. and R.T. Macomber. 1980. Distribution of submerged vascular
plants, Chesapeake Bay, Maryland. Rept. to USEPA, Chesapeake Bay Program
by Aero Eco, Reston, VA.
Bayley, S. , V.D. Stotts, P.P. Springer and J. Steenis. 1978. Changes in
submerged aquatic macrophyte populations at the head of the Chesapeake
Bay, 1958-1975. Estuarinss 1:74-85.
Cornell, 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, DC. 361 p.
Correll , D.L. , J.U. Pierce and T.L. Wu. 1978. Herbicides and submerged
plants in Chesapeake Bay, p. 858-877. jn: Am. Soc. Civil Engineering.
Coastal Zone-78.
Correll, D.L. and T.L. Wu. 1982. Atrazi ne torir.ity to submerged vascular
plants in simulated estuarine microcosms. Aquat. Bot. 14:151-158.
Cunningham, J.J. 1980. Effects of herbicide stress on the structure and
metabolism of the submerged macrophyte, Potamogetpn perfoliatus, in
estuarine microcosms. M.S. Thesis, Univ. MD, College Park, MD.
Frank, R. and G.J. Sirons. 1979. Atrazine: Its use in corn production and
its losses to stream waters in Southern Ontario, 1975-1977. The Science
of the Total Environment. 12:223-239.
Galston, A. 1979. Herbicides: a mixed blessing. Bioscience 29:85-90.
Gaynor, J.D. and V.V. Volk. 1981. Runoff losses of atrazine and terbutryn
from unlimed and limed soils. Environ. Sci. and Technol. 15:440-443.
f Jones, T.W., W.M. Kemp, J.C. Stevenson and J.C. Means. 1982. Degradation of
atrazine in estuarine water/ sediment systems and selected soils. J.
Environ. Qual. (In press).
Jones, T.U., W.M. Kemp. P.S. Estes and J.C. Stevenson. 1983. Atrazine
uptake, phytotoxicity, release and short-term recovery for the submerged
aquatic plant, Potamogeton perfoliatus. horn Pt. Environ. Laboratories,
Box 775, Cambridge, MD.
Kaumeyer, K., W.R. Boynton, L. Lubbers, K, Staver, S. Bunker, W.M. Kemp and
J.C. Means. 1981. Metabolism and biomass of submerged macrophyte
communities 1n northern Chesapeake Bay, p. 353-400. In: Kemp et al .
(eds). Submerged Aquatic Vegetation in Chesapeake Bay: It's Ecological
Role in the Bay Ecosystems and Factors Leading to Its Decline. Horn Pt.
Environ. Laboratories, Box 775, Cambridge, MD.
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r
il
Kemp, W.M., J.C. Means, T.W. Jones and J.C. Stevenson. 1982. herbicides in
Chesapeake Bay and their effects on submerged aquatic vegetation: A
synthesis of research supported by U.S.E.P.A., Chesapeake Bay Program, p.
503-567. In: Chesapeake Bay Program Technical Studies: A Synthesis.
U.S.E.P.A., Washington, DC.
Kemp, W.M., W.R. Boynton, J.C. Stevenson, R.R. Twilley and J.C. Means. 1983.
The decline of submerged vascular plants in Chesapeake Bay: Summary of
results concerning possible causes. Mar. Tech. J. (In press).
.omax, K., J.C. Stevenson, M.S. Christy and J.R. Todd. 1979. Nonpoint
pollution data collection problems on low flat coastal topography, p.
46-52. _[n: K. Flynn (ed.) Nonpoint Pollution Control - tools and
techniques for the future. Interstate Commission on the Potomac River
Basin, Rockville, MD.
Means, J.C., Wijayarante and W.R. Boynton. 1983. Fate and transport of
selected pesticides in estuarine environments: Implications for ocean
pollution. Can. J. Fish. Aquat. Sci. (In press).
Muir, D.C.G., J.Y. Yoo and B.E. Baker. 1978. Residues of atrazine and
N-deethylated atrazine in water from five agricultural in Quebec, Arch.
Eriv. Contam. Toxicol. 7:221-235.
Newby, L.C., R.A. Kahrs, K. Adams and M. Szolics. 1978. Atrazine residues in
the Chesapeake Bay. Proc. N.E. Weed. Sci. Soc. 32:339 (Abstract).
Richard, J.J., 6.A. Junk, M.J. Avery, N.L. Nehring, J.S. Fritz and H.J. Svec.
1975. Analysis of various Iowa waters for selected pesticides:
Atrazine, DDE and Dieldrin-1974. Pesticides Monitor. J. 9:117-123.
Roberts, 6.C., G.J. Sirons, R. Frank and H.E. Collins. 1979. Triazine
residues in a watershed in southwestern Ontario (1973-1975). Jour. Great
Lakes Research 5:246-255.
Schepers, J.S., D.R. Anderson, G.E. Schuman, E.J. Vavricka and H.D. Wittmuss.
1978. Agricultural runoff in tha midwest. Nebraska Agric. Exp. Station
Public No. 5643.
Stevenson, J.C. and N.M. Confer. 1978. Summary of available information on
Chesapeake Bay submerged vegetation. U.S. Dept. Inter. IWS/OBS-78/66.
NTIS, Springfield, VA. 333 pp.
United States Geological Survey. 1983. Estimated streamflow entering
Chesapeake Bay. U.S.G.S., 208 Carroll Blvd., LaSalle Road, Towson, MD.
Waldron, A.C. and C.W. Bailey. 1974. Pesticide movement from cropland into
Lake Erie. Environmental Protection Agency Technical Series.
EPA-660/2-74-033, Washington, DC.
1-16
-------
Walsh, t.t. , U.L. Hansen and D.A. Lawrence. 1982. A flow-through system for
exposure of seagrass to pollutants. Mar. Envir. Res. 7:1-11.
Walsh, J.J. 1976. Herbivory as a factor in patterns of nutrient utilization
in the sea. Limnol. Oceanogr. 21:1-13.
Wauchope, R.D. and R.A. Leonard. 1980. Maximum pesticide concentrations in
agricultural runoff: a semi-empirical formula. J. Environ. Qual.
9:665-672.
Wetzel, R.L., P.A. Penhale and K.L. Webb. 1981. Plant community structure
and physical-chemical regimes at the Vaucluse Shores study site. Chap.
2, Sect. A. Virginia Inst. Mar. Sci., Gloucester Pt., VA.
Wu, T.L. 1980. Dissipation of the herbicides atrazine and alachlor in a
Maryland corn field. J. Environ. Qual. 9:459-465.
Zahnow, E.W. and J.C. Riggleman. 1980. Search for linuron residues in
tributaries of the Chesapeake Bay. J. Agric. Food Chem. 28:974-978.
1-17
-------
SCALE Of MILES
10 0 10 20
UPPER CHESAPEAKE SITE
INDEXING STATION LOCATIONS
• SAV present in 1980
O SAV lost since 1976
A SAV lost since 1969
X SAV not present since 1959-61
Figure 1. Location and coding of sites Investigated during the littoral zone
survey conducted 1n upper Chesapeake Bay during 1980. Letitude,
longitude and other station characteristics are given 1n Table 1.
-------
oca*
_J (O t-
at z
a. a
< o
S-
0>
1-19
-------
Marsh Watershed
J
s. Agricultural Watershed '•',
Figure 3. Configuration and sampling station locations at the Horn Point
experimental watershed located adjacent to the Choptank River
estuary.
1-20
-------
o
u
o
O
o
•o
o
>
"o
m
1.0
0.5
0
1.0
0.5
0
mouth
25 Apr 80
• Atrazine
o Linuron
16 Sep 80
10
20
30 40
tidal-fresh
River Mile, nautical
Figure 4. Concentrations of dissolved atrarlne and llnuron 1n
surface waters of the main channel of the Choptank River
estuary 1n 1980.
-------
r
»
xT
o
|
»-
2
U
z
o
u
UJ
z
IM
o;
»-
<
10-
10-
(0)
*_
jo"
<
tr
u
I
u
o
u
ffi
tr
lO-i
8-
6-
4-
2-
INITIAL
HERBICIDE
APPLICATION
W0ler*h*d
MPEL
-RUNOFF FROM
AGRICULTURAL
FIELD HPEL
FLOW OVER
BEAVER
\ DAM
\
MAY
JUNE
(b)
-
-
•^
W///////////A
^•B
mmmm
\
1
J
D™
I | J] J
75 65 60 35 v 25 20
DISTANCE FROM MOUTH (km)
10
Figure 5. Temporal patterns of atrazlne concentration sin runoff from 2
agricultural watersheds in the Choptank River basin during the
spring of 1981 (a) spatial distribution of herbicides along the
longitudinal axis of the Choptank River estuary from May 10-13,
1981 (b) and details of rainfall at the Horn Point watershed,
runoff from two sites and dissolved atrazlne concentrations measured
at the flume at HOrn Point and at Beaverdam (c). Data are presented
in Appendix Table 9.
1-22
-------
E «•
u
*- 3-
a? 2-
U
UJ 1-
cc
0.
ll II 1.111
X ioo
o
soH
£
u.
Horn Pt.
. I UU
«oo4 Beaver Dam
.o
a.
13-
10-
UJ s-
Horn Pt.
OC
< 10-
8 '^
o
13.7
10.0
A
-
Beaver Dam /v**0
I Ii_^I I
APR MAY JUN JUL AUG
Flgurs 5c.
1-23
-------
80
I 60
i
CD
W
40
20
' 1
• 1
• I
1
*'.:!
Sampling Periods:
• Apr
o Jun«
u M
A Sep
• Herbicide cone, below level of detection
(S0.05 ppb)
Apr data from 3 atationa
e
0.05 0.2 0.4 0.6
Diaaorved Atrazin*. ppb
—0~-
0.8 1.0
N
80
60
40
20
O i
A !
O i
0.05
Sampling Periods:
.Apr
o June
• Jo)
* Sep
Herbicide cone, below level of detection
($0.05 ppb)
. Apr data from 5 stations
- Sep data from 3 stutions
0.2
04 0.6
Lint won. IH*(I
08
Figure 6. Scatter diagram of SAV blomass versus dissolved atrazlne (a) and
dissolved Unuron (b) concentrations observed at Httoral zone
stations 1n upper Chesapeake Bay 1n 1980.
1-24
-------
O
o
CD
CL
CD
i
100
80
60
40.
20.
ATRAZfNE
M. spicatum
Y= 147.4 - 47.0X Q"
45 ppb
lJ5 80 ppb
10
50 100
Log Herbicide Concentration (ppb)
Figure 7. Regressions of mean apparent 02 production (Pa; expressed at % of
control value) versus the log of herbicide concentration for P.
perfollatus and M. spicatum treated with (a) atrazlne and (b)~
llnuron.TTlso sRbwn are I50 values (herbicide concentration ore-
dieted to cause 50% photosynthetlc Inhibition) for each species.
Diagram was adapted from Kemp et al. (1983).
1-25
-------
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1-26
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1-28
-------
Table 1. Station coding, location and site descriptors associated with
Upper Bay site indexing study, 1980. Units are: silt-clay
content, %; median diameter, mm; light extinction, nr1
(k=extinction coefficient).
SEDIMENT TYPt
SAV STATION
STATUS CODt
1 SI-4
SAV
Present ,, Q
loan ai-y
i'OU
Sl-10
si-n
SI-M
SI-21
SI-28
II Sl-15
SAV
Lost 51-20
Since
1978 51-23
III SI-1
SAV
Lost SI-2
Since
1969 SI-S
Sl-6
51-16
SI-17
Sl-19
SI-22
51-24
51-25
SI-27
IV 51-7
SAV Not
Present 51-8
(«t leist)
Since 51-18
1959-61)
.
LOCATION
Susquehanna Mouth
Concord Point
Magothy River
James Pond
Chester ft. Mouth
E. Neck Narrows
Chester River
Cliffs Bight
Choptank Diver
Todds Cove
S»1th Island
Otter Is.
Gunpowder R. Mouth
Lower Is. Pt.
ChopUnk Mver
Benonl Pt.
South Marsh Is.
Johruon Pt.
Big Annemessex R.
Wear Point
Patuxent R. Mouth
Solomons Is.
Mid-Chesapeake
Western Shores
Susqoehanna Mouth
Furnace Bay
Susquehanna Flats
Chortank River
Leconpte Cr.
Choptark River
Horn Point
Choptank River
Frailer Neck
Smith Island
Horse Hmwch
819 AnneMSsex R.
Moon Bay
Barren Island
Sand Pt.
Patuxent River
Buena Vista
Elk River
Cabin John Cr.
Elk River
Veazey Neck
Choptank River
Kingston Ldg.
LATITUDE/
LONGITUDE
39* 32' 08"
76*05 '17"
39" 05 '33"
76*26'07"
39*02'54"
76*13'42"
39*05 ' 17"
76*09' 30"
38*36 '38"
76*1' '00"
37*58'16"
75*59'42*
39* 18' 34"
76*20'40"
»*41'03"
76*12'54"
38*06 ' 37*
76*03 '18*
38*02 '33-
75.49.49.
38*19'07"
76*27 '09*
38*29 '26"
76*29'45"
39'33'17"
76*02 '38"
39*30'42"
76*04 '16"
38'36'H"
76*10'35"
38*35 '38"
78*07 '52"
38*44-00"
76*00 '09"
37*56'57-
75*59-42"
38*04-12"
75*47-42"
38*18-45*
76*15-00*
38*30'46"
76*39'47"
3f V34"
75 -/'ll*
39*28-11*
75*57 -01 "
38*46-26*
75*57'57*
PERCENT
SILT/CLAY
55.8124.4
17.011.3
9.014.7
32.0*23.5
34 9i24.4
54.617.7
45.2H1.0
75.1114.3
63.5124.5
42.4H4.0
0.910.5
0.810.7
60.H33.4
1.4H. 9
31.8110. 9
52.010.0
2.7*0.5
80.U8. 2
29.3124.3
52.4130.3
0.610.2
28.81). 2
2.712.8
51.8112.9
MEDIAN
DIAMETER
0.2010.08
0.20i0.02
0.1310.01
0.2010.03
0.1410.01
0.1210.0
0.2010.03
0.1310.0
O.UiO.Oi
0.3710.06
0.2St0.09
.201.01
.171.03
.231.02
.191.01
l.Oi.OO
.381.05
.141.02
.391.03
.16-. 03
2.01.00
.141.01
.721.86
.291.15
LIGHT
EXTINCTION
1.5t0.52
2.5U.4
1.4i0.3
1.7t0.2
1.7i0.6
1.9H.O
1.110.6
1.310.5
2.310.8
1.710.9
1.510.9
1.810.6
2.310.6
1.8:0.7
2. Oil. 7
l.OiO.O
4.4i2.7
3.9ili
2.4lO£
2.611JB
2.910.2
4.010.9
2.610.4
4. 111. 3
-------
1
Table 2.
Summary of maximum and average dissolved atrazine (A) and
Mnuron (B) concentrations measured in various geographical
re UPP6r Chesapeake Ba> durin9 4 sampling periods
Sampling Periods
A. Atrazine
• Maximum Observed
Concentration
• Percent Observations
>0.5 ppb
£0.1 ppb
• Mean Concentrations
by Geographical Area3
Upper Bay
Upper-Mid Bay
Mid Bay
Lower Bay
Tidal Fresh Tribs.
Stations with SAV
0.3
0
36
0.09
<0.05
0.11
0.11
<0.05
0.08
June
1.1-1.2
27
32
0.78
0.18
0.13
<0.05
<0.05
0.29
July
0.4
0
35
0.18
<0.05
<0.05
0.07
0.12
<0.05
September
0.9
9
17
£0.05
<0.05
~0.16
<0.05
0.30
<0.05
Sampling Periods
B. Linuron
• Maximum Observed
Concentration
• Percent Observations
£0.50 ppb
>0.10 ppb
• Mean Concentrations .
by Geographical Area0
Upper Bay
Upper-Mid Bay
Mid Bay
Lower Bay
Tidal Fresh Tribs.
Stations with SAV
April
<0.05
0
0
<0\05
<0.05
<0.05
<0.05
<0.05
<0.05
June
<0.05
0
0
<0.05
"0.05
"0.05
"0.05
^0.05
<0.05
1.3
15
20
0.42
<0.05
"0.05
<0.05
~0.20
0.13
aStations were grouped according to geographical areas as follows:
Upper Bay: Si's 4, 5, 6, 7 and 8.
Mid-Upper Bay: Si's 9, 10, 13 and 28.
Mid Bay: Si's 1, 2, 14, 15, 16 and 15.
Lower Bay: Si's 20, 21, 22, 23 and 24.
Tidal Fresh Tributaries:
Stations with SAV:
locations.
September
0.75
9
13
0.12
<0.05
<0.05
70.05
~0.25
<0.05
._. SI'S 18, 19 and 27.
SI'S 4, 9, 10, 13, 14, 21 and 28; Refer to F1g. 1 for
1-30
-------
Table 3. Station locations at which maximum dissolved atrazine U)
and linuron (B) concentrations (ppb) were observed during
1980 littoral zone surveys.
A. Atrazine
Locations
Upper Bay
Upper-Mid Bay
Mid Bay
Lower Bay
Tidal Fresh Tribs.
Stations with SAV
B. Linuron
Locations a
Upper Bay
Upper-Mid Bay
Mid Bay
Lower Bay
Tidal Fresh Tribs.
Stations with SAV
Sampling Periods
April
0.20(SI-7)
<0.05
7.30(51-1)
0.30(SI-24)
0.10(51-18)
0.20(SI-21)
June
1.14(SI-6)b
0.45(51-13)
0.65(51-2)
0.10(51-21)
0.10(51-19)
1.09(51-4)
July
0.4(51-8)
<0.05
D".13(SI-1)
1.20(51-22)
0.25 (SI-27)
0.20(51-4)
September
0.11(51-8
0.10(SI-13)
0.93(51-1
<0.05
ff.91(SI-27)
0.10(51-13)
Sampling Periods
April
<0.05
<0.05
TO. 05
TO. 05
<0.05
TO. 05
June
<0.05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
July
1.30(SI-7)C
<0.05
7.25(51-1)
<0.05
7.55(51-27)
0.80(SI-4)
September
0.56(51-8)
<0.05
7.3l(SI-l)
<0.05
7.75(51-27
<0.05
aSee Table 2 for station groupings and Fig.l for locations.
At other upper bay stations atrazine concentrations (ppb) were
1.0?(SI-4), <0.05(51-5), 1.08(51-7) and 0.7(SI-8).
cLinuron concentration was 0.8 ppb at Station SI-4 (upper bay area).
1-31
-------
Table 4. Stations and dates at which detectable UO.l vg kg"1)
concentrations of atrazine and linuron were found in surficial
sediments collected from littoral zone sites in upper
Chesapeake Bay, 1980.
t
Herbicide Concentration, yq kg"1
Date Station Atrazine Linuron
April 28 SI-23 0.37 <0.10
June 13
June 13
June 12
Sept. 17
Sept. 15
SI-5
SI-7
SI-18
SI-28
SI-23
0.65
0.43
0.64
0.93
<0.10
<0.10
SO. 10
SO. 10
<0.10
0.51
-------
-*«
f
Table 5. Summary of mean SAV aboveground biomass (gdw/m2)
measured on 4 occasions in upper Chesapeake Bay, 1980.
DATE UPPER BAY MID-BAY LOWER BAY
Apr i 1
June
Jul y
Sept
SI-4
0
24.8
0.0
0.0
SI-28
0
91.2
17.2
0.0
51-9 51-10
0 0
10.3
0.8 2.0
0.0 19.2
51-13
0
4.6
5.6
12.0
51-14
0
33.2
66.0
49.2
51-21
0
14.4
35.6
29.2
1-33
-------
Appendix Table 1. Listing of dissolved herbicide concentrations (ppb), SAV
biomase. and other selected variables measured at 23 littoral
zone statiuis in upper Chesapeake Bay, 1980. See text for
explanation of SAV status. Temperature in °C, salinity as
ppt, and SAV biontass as gdw/nr. All water quality samples
were taken 0.5m below the surface.
SAV STATIONS EftTE TEMP fiAT.TMTTy HEBBTCTne CCNC fPCb) SAV
5TATDS
II
III
IV
April 1980 Cruise
SI-4
SI-9
SI-10
SI-13
SI-14
SI-21
SI-28
0JL **W
SI-15
SI-20
SI-23
SI-1
SI-2
SI-5
SI-6
SI-16
SI-19
SI-22
SI-24
SI-25
SI-27
SI-7
SI-8
SI-18
24/4
24/4
24/4
25/4
25/4
28/4
25/4
28/4
28/4
23/4
23/4
24/4
24/4
25/4
25/4
28/4
28/4
28/4
1/5
25/4
24/4
25/4
13.2
18.7
19.2
16.2
17.8
16.3
18.8
15.9
17.0
15.6
17.8
13.6
13.6
19.3
18.0
15.8
17.5
15.3
15.4
17.3
16.8
18.0
0.0
3.3
5.2
5.5
9.6
11.7
9.8
11.9
n.i
8.7
7.6
0.0
0.0
9.1
0.9
11.6
10.9
8.7
3.2
0.0
0.0
0.4
A. tr 92 JflS Lipuroo
0.07
10.05
10.05
10.05
0.15
0.20
0.10
10.05
10.05
0.30
10.05
0.15
10.05
10.05
10.05
10.05
0.30
0.10
10.05
0.20
10.05
0.10
1-34
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
Biomasa
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
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
Species
-
-
~
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-------
r
Appendix Table 1 (cont.)
STATUS
SAV
II
III
IV
]
SI-4
SI-9
SI-10
SI-13
SI-14
SI-21
SI-28
SI-15
SI-20
SI-23
SI-1
SI-2
SI-5
SI-6
SI-16
SI-19
SI-22
SI-24
SI-25
SI-27
SI-7
SI-8
SI-18
3une 1980 Cruise
13/6 20.5 0.1
12/6
12/6
12/6
11/6
13/6
12/6
11/6
11/6
16/6
16/6
15/6
13/6
12/6
12/6
1V6
11/6
11/6
16/6
13/6
13/6
12/6
24.8
25.5
23.8
22.4
24.0
24.9
24.5
21.1
23.4
21.9
19.5
22.5
21.8
-
21.5
20.7
22.4
24.7
22.0
22.0
21.1
9.3
6.5
10.0
12.8
2.3
9.9
12.2
12.9
13.0
12.3
0.1
0.1
9.5
-
13.0
13.2
11.2
7.7
0.3
0.2
0.6
Atrazine
1.09
._. — -MTYP '
pi^uron
10.05
10.05 10.05
0.45
10.05
0.10
0.09
10.05
10.05
10.05
10.05
0.65
10.05
1.14
10.05
0.10
10.05
10.05
10.05
10.05
1.08
0.70
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
Biomass
24.8
10.3
4.6
33.2
14.4
91.2
0.0
0.0
0.0
0.0
o.n
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
Species
H^ spieatutn
mixed9
Bi. flaritina
£^ perfoliatus
E^ perfoliatus
^BBEina
E*. perfoliatus
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
1-35
-------
'II
••
• Appendix Table 1 (cont.)
SAV STATIONS DATE TEMP SALINITY HERBICIDE CQNC^DDb)
STATUS
SAV
II
III
IV
July I960 Cruise
SI-4
SI-9
SI-10
SI-13
SI-14
SI-21
SI-28
SI-15
SI-20
SI-23
SI-1
SI-2
SI-5
SI-6
SI-16
SI-19
SI-22
SI-24
SI-25
SI-27
SI-7
SI-8
SI-18
26/7
26/7
25/7
25/7
24/7
24/7
25/7
24/7
24/7
24/7
29/7
26/7
26/7
26/7
24/7
25/7
24/7
24/7
24/7
29/7
26/7
26/7
25/7
27.3
31.9
-
31.8
28.6
26.7
26.7
29.6
28.9
25.7
28.3
28.5
26.2
30.1
28.4
28.7
26.2
25.5
2P.O
28.2
31.2
29.7
28.4
0.2
8.4
-
7.3
9.8
14.7
3.8
10.5
12.8
14.1
14.0
12.6
0.3
0.1
10.4
3.1
15.2
13.7
12.9
10.0
0.2
0.2
1.7
Atrazine
0.20
10.05
10.05
10.05
10.05
Linuron Bionass
0.80
10.05
10.05
10.05
10.05
NOT SAMPLED
10.05
10.05
NOT
NOT
0.13
10.05
10.05
0.20
10.05
0.10
0.20
10.05
10.05
0.25
0.20
0.40
10.05
10.05
10.05
SAMPLED
SAMPLED
0.25
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
0.55
1.30
10.05
10.05
0.0
0.8
2.0
5.6
66.0
35.6
17.2
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
0.0
0.0
0.0
Species
-
Vj. americana
£*. perfoliatus
SM. perfoliatus
B«. maritima
E*. perfoliatus
Z. marina
Pj. perfoliatus
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
—
1-36
-------
/
Appendix Table 1 (cont.)
SAV STATIONS DKTE TEMP SALINITY HERBICIDE CCNC (ppbj
SAV
STATOS Septe|riper 1980 Cruise
I SI-4
SI-9
SI-10
SI-13
SI-14
SI-21
SI-28
II SI-15
SI-20
SI-23
III SI-1
SI-2
SI-5
SI-6
SI-16
SI-19
SI-22
SI-24
SI-25
SI-27
IV SI-7
SI-8
SI-18
18/9
17/9
17/9
17/9
16/9
15/9
17/9
16/9
15/9
15/9
22/9
18/9
12/9
17/9
16/9
16/9
15/9
15/9
17/9
22/9
17/9
17/9
16/3
20.5
25.2
23.4
22.2
23.1
26.2
25.2
23.8
24.9
25.8
26.7
25.9
20.0
23.2
26.5
25.7
25.9
25.6
21.5
26.0
25.8
26.0
25.7
aSarnples contained a mixture of
canadensis and ^ americana.
0.2
12.4
12.5
10.9
15.2
20.9
7.9
14.9
18.8
19.6
19.0
17.0
0.2
0.2
14.0
5.5
20.9
19.0
17.4
13.1
2.4
3.1
3.5
the following
Atrazine
10.05
10.05
10.05
OJO
10.05
10.05
0.07
10.05
10.05
10.05
0.93
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
0.91
0.06
0.11
10.05
species:
Lin or on
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
0.31
10.05
10.05
10.05
10.05
10.05
10.05
10.05
10.05
0.75
10.05
0.56
10.05
HL. spicatumaf \
Biomass
0.0
0.0
19.2
12.0
49.2
29.2
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
0.0
0.0
0.0
0.0
PA perfol
Species
-
mixed9
PA perfoliatus
PA maritima
PA perfoliatus
Z. mgffirfp
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
iatajs,. EA
1-37
-------
Appendix Table 2. Listing of atrazine and linuron concentrations (ppb) in
surf icial sediment samples (upper 5 cm) collected from 23
littoral zone locations in upper Chesapeake Bay, 1980.
Sediment
April
Station
SI-4
SI-9
SI-10
SI-13
SI-14
CT— 91
OJ. ZJ.
CT— 7ft
OJ. £O
CT—1 ^
OX AD
SI-20
SI-23
SI-1
SI-2
SI-5
CTW;
Al.^)
SI-16
SI-19
SI-22
SI-24
SI-25
SI-27
SI-7
SI -8
SI-18
1980 Cruise
Date
24/4
24/4
24/4
24/4
25/4
28/4
28/4
23/4
23/4
24/4
25/4
25/4
28/4
1/5
25/4
Herbicide
Atrazine
10.1
iO.l
iO.l
10.1
10.1
10.1
0.37
10.1
10.1
10.1
10.1
10.1
___— — KTYT JIM71T VfVTi.
10.10
10.10
"""" ntiTUT VTBTkp
10.10
Concentration fpob)
Linuron
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.10
10.10
10.10
1-38
-------
Sediment
JUne 1980
Station
SX-4
SI -9
•JJL y
SI-10
SI-13
SI-14
SI-21
SI-28
SI-15
SI-20
SI-23
SI-1
SI-2
SI-5
SI -6
SI-16
SI-19
SI-22
51-24
SI-25
51-21
SI-7
SI-8
SI-18
Cruise
Date
13/6
12/6
12/6
12/6
11/6
13/6
12/6
11/6
1V6
16/6
16/6
13/6
13/6
12/6
12/6
11/6
1V6
11/6
16/6
13/6
18/6
12/6
Herbicitfe
Atrazine
10.1
£0.1
iO.l
10.1
iO.l
10.1
£0.1
10.1
10.1
10.1
10.1
0.65
10.1
10.1
10.1
10.1
10.1
10.1
10.1
0.43
10.1
0.64
Concentration >fpb)
Linuron
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
1-39
-------
Sediment
July
Station
SI -4
SI-9
SI-10
SI-13
SI-14
SI-21
SI-28
SI-15
SI-20
SI-23
SL-1
SE-2
SI-5
SI-6
SI-16
SI-19
SI-22
SI-24
SI-25
SI-27
SI-7
SI -8
SI-18
1980 Cruise
Date
26/7
26/7
25/7
25/7
24/7
24/7
25/7
24/7
24/7
24/7
29/7
26/7
26/7
26/7
24/7
25/7
23/7
24/7
24/7
29/7
26/7
26/7
Herbicitfe
Atrazine
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
Concentration (rob)
jAmron
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
1-40
-------
Sediment
Septenber
Station
SI-4
SI-9
SI-10
SI-13
SI-14
SI-21
SI-28
SI-15
SI-20
SI-23
SI-1
SI-2
SI-5
SI-6
SI-16
SI-19
SI-22
SI-24
SI-25
SI-27
SI-7
SI-8
SI-18
1980 Cruise
Date
17/9
17/9
17/9
17/9
16/9
15/9
17/9
16/9
15/9
15/9
22/9
18/9
18/9
17/9
16/9
16/9
15/9
15/9
16/9
22/9
17/9
17/9
16/9
Herbicid^
Atrazine
10.1
10.1
10.1
10.1
10.1
iO.1
0.93
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
Concentration (Epbl
Linuron
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
0.51
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
10.1
1-41
-------
•t!
Appendix Table 3.
27/5/80
12/6/80
25/7/80
18/8/80
16/9/80
Summary of station locations, physical characteristics and dissolved
herbicide concentrations (ppb) measured during monthly water quality
surveys in the Choptank River Estuary, 1980. All samples were taken
0.5m from the surface. Station locations are shown in Fig. 2.
LOCATION
Kingston Ldg.
Frazer Neck
Goost Pt.
Choptank Mouth
Lloyds Ldg.
Blinkhorn Cr.
Jamaica Pt.
Hambrook Bar
LeCompte Bay
Todds Cove
Choptank Mouth
Kingston Ldg.
Frazer Neck
Blinkhorn Cr.
Goose Pt.
LeCompte Cr.
Todds Cove
Choptank Mouth
Crowberry Cr.
Frazer Neck
Cabin Cr.
Goose Pt.
Howell Pt.
Todds Cove
Choptank Mouth
Marker 60
Marker 55
Marker 41
Marker 31
Chlora Pt.
Todds Cove
Choptank Mouth
Marker 64
Kingston Ldg.
Frazer Neck
Cabin Cr.
Todds Cove
Choptank Mouth
RIVER"
MILE
33.
29.
17,
0.0
26.8
22.
19.
10.8
8.4
3.5
0.0
33.
29.
22.
17.
8.4
3.5
0.0
35.
29.
.3
.5
.7
.4
.4
.3
.5
.4
.7
.9
.5
21.0
17.
10.
3.5
0.0
35.
30.
23.
16.
7.6
3.5
0.0
38.
33.
29.
21.0
3.5
0.0
.7
.6
.9
.3
.7
.2
.4
.3
.5
SALINITY
0.5
1.7
6.7
8.9
1.2
3.1
5.9
8.1
9.1
9.4
9.8
1.4
2.6
4.8
7.0
9.5
9.9
10
1
4.0
6.3
7.8
10
11
11.8
1.2
4.0
6.6
9.9
12.2
12.8
14.2
1.3
3.4
5.7
10.1
15.5
.4
.5
.3
.1
17.0
TEMP
TO"
18.0
17.6
17.1
14.5
22.8
22.2
21.7
20.8
20.
21.
21.5
22.3
22.0
21.7
21.5
21.4
21.
21.
.2
.2
27.6
28,4
28.1
28.
27.
27.
28.
27.9
27.4
27.0
26.7
26.7
26.*
25.9
25.2
25.4
25.6
24.6
24.3
24.1
HEKBICIDE CONC.
Atrazine
I ppb)
0.08
0.07
<0.05
~0.06
0.06
0.10
0.06
<0.05
TO. 05
TO. 05
30.05
TO. 05
~0.30
0.50
<0.05
~0.55
0.06
0.35
0.72
<0.05
~0.23
<0.05
TO. 05
TO. 05
TO. 05
~0.48
0.16
0.08
<0.05
TO. 05
"0.39
<0.05
TO. 05
"0.06
<0.05
TO. 05
TO. 05
TO. 05
Linuron
Ippb)
<0.05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
TO. 05
"0.08
<0.05
TO. 05
TO. 05
"1.14
0.78
0.06
<0.05
"0.20
0.95
<0.05
"0.05
<0.05
TO. 05
TO. 05
TO. 05
TO. 05
aRiver mile 0.0 (nautical) taken as being between Blackwalnut and Cook Pts.
-------
f
Appendix Table 4. Concentrat'ions of atrazine and linuron found in
surficial sediments (upper 5 cm) from samples collected
along the longitudinal axis of the Choptank River estuary,
1980. Station locations are given in Figure 2.
DATE
25/4/80
12/5/80
25/7/80
18/8/80
\ ;
\ i
16/9/80
LOCATION
Kingston Ldg.
Frazer Neck
Goose Pt.
Choptank Mouth
Kingston Ldg.
Frazer Neck
Blinkhorn Cr.
Goose Pt.
LeCompte Cr.
Crowberry Cr.
Frazer Neck
Cabin Cr.
Goose Pt.
Howe11 Pt.
Todds Pt.
Choptank Mouth
Crowberry Cr.
Marker "55"
Marker "41"
Marker "31"
Chlora Pt.
Todds Pt.
Choptank Mouth
Marker "64"
Frazer Neck
Choptank Mouth
RIVER
MILE
33,
29,
17,
0.0
33.3
29.5
22.4
17.7
8.4
35.9
29,
21.
17.
10.6
3.5
0.0
35.
30.
23.
16.
7.
3.5
0.0
.9
.3
.7
.2
.6
38.4
29.5
0.0
SEDIMENT
HERBICIDE CONCENTRATIONS (ppb)
AtrazineLinuron
0.1
£0.1
<0.1
~0.13
<0.1
<&.!
0.38
0.1
0.1
1-43
-------
Appendix Table 5. Listing of atrazine and linuron concentrations (ppb)
measured in the participate fraction from water samples collected
along the longitudinal axis of the Choptank Estuary, 1980.
Station locations are given in Figure 2.
PARTICULATE
DATE
25/4
27/5
27/5
12/6
11/6
27/7
27/7
18/8
18/8
18/8
16/9
16/9
16/9
RIVER
LOCATION MILE
Frazer Neck 29.5
Jamaica Point 19.4
Choptank Mouth 0.0
Kingston Ldg. 33.3
Choptank Mouth 0.0
Crowberry Cr. 35.9
Choptank Mo'Jth 0.0
Marker "60" 35.9
Marker "31" 16.2
Choptank Mouth 0.0
Marker "64" 38.4
Choptank Mouth 0.0
Frazer Neck 29.5
VOLUME
FILTERED
20£
20£
30£
104
20£
184
20£
20£
204
204
20£
20£
204
HERBICIDE CONCENTRATION (ppb)
Atrazine
£0.1
£0.1
£0.1
£0.1
£0.1
£0.1
£0.1
£0.1
£C.l
£0.1
£0.1
£0.1
<0.1
Linuron
£0.1
£0.1
£0.1
£0.1
£0.1
£0.1
£0.1
<0.1
<0.1
£0.1
£0.1
<0.1
<0.l
1-44
-------
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^^ «SJ CM IN* ISt CM CM *S* O O O f* C
!CZCZ&o.f 30-^ 3 a x a T "w a. 5 5 5 a. a. :
> o o o o a. a. a. oo
0000
.. a.
isii??
pope c - —p p
a.
-------
"•* "•
rii
Appendix Table 7,
Concentrations of atrazine and linuron in the suspended
particulate fraction of water samples collected from
several monitoring stations at the Horn Point Experimental
watershed, 1980. See Fig. 3 for station locations.
NR=not recorded.
UAH
1/5
LOCATION
2/5
18/5
27/5
1/6
3/6
22/6
2/7
8/7
16/7
17/7
22/7
23/7
Bridge
Pund
Choptank
Uier
Pond
Choptank
Uier
Choptank
Uier
Mier
Uier
Uier
1IHI
0815
1000
1300
1845
NR
NR
0845
1100
1445
1805
NR
1200
1430
1500
1130
1605
1500
NR
1400
0730
NR
1230
1800
NR
NR
NR
1300
SUSPENDED PART1CULATI
HERBICIDE CONCENTRATION, ppl
Uier 0010
Uier 2215
Bridge 2200
Pond 2115
Chopunk 2100
Wter 2275
Pond 2315
Pond 2330
Uier
Uier
Uier
Uier
Pond
Pond
Pond (mid)
Pond
Pond (mouth)
Pond (Hid)
Pond
Pond
Pond (mouth)
Pond (stream)
0100
0145
0800
1215
1742
0015
0030
0045
1315
1330
1400
1832
1832
1843
Atraiine
<0.10
70.10
70.10
70.10
70 10
70.10
.10
-------
Appendix Table 8.
Concentrations of atrazine and linuron in soil samples
collected at the Horn Point Experimental watershed, 1980.
DATE
6/7
8/7
4/8
12/8
21/8
26/8
5/9
10/9
19/9
26/9
3/10
24/10
31/10
14/11
26/11
LOCATION
HERBICIDE CONCENTRATION, ppb
Atrazine Linuron
crop
crop
crop
crop
crop
crop
crop
crop
crop
crop
crop
crop
crop
crop
crop
soil,
soil,
soil,
soil,
soil,
soil,
soil,
soil,
soil,
soil,
soil,
soil,
soil,
soil,
soil,
HPEL°
HPEL
HPEL
HPEL
HPEL
HPEL
Wier
Wier
HPEL
HPEL
Wier
Wier
HPEL
Wier
HPEL
<0.10
<0.10
~0.26
1.20
0.79
1.10
<0.10
TO. 10
TO. 10
TO. 10
TO. 10
TO. 10
TO. 10
TO. 10
<0.10
<0.10
<0.10
TO. 10
TO. 10
<0.10
TO. 10
TO. 10
TO. 10
TO. 10
TO. 10
TO. 10
TO. 10
TO. 10
TO. 10
TO. 10
aHPEL referens to the Horn Point Experimental watershed.
1-47
-------
fi
Appendix Table 9.
Concentrations of dissolved atrazine and linuron in water
collected from several locations at the Horn Point
Experimental watershed and from several stations along the
Choptank River estuary in 1981. See Figs. 1-3 for station
locations.
LOCATION
DATE
TIME
DlibULVll)
HERBICIDE COUCtNJJ(ATJCIN_._ppti
AtraZine Linuron
Horn Point Experimental Matershed
Bridge
5/10
5/11
5/15
5/29
6/2
6/8
6/10
6/15
6/19
6/20
6/Z2
7/13
7/20
7/22
S/15
5/15
5/11
Pond («f
-------
QUALITY ASSURANCE DATA
Appendix Table id Summary of duplicate field analyses of water.
1980 HERBICIDE CONC. (ppb)
STATION DATE ATRAZINE LINURON
SI-5 24/4 0.15 <0.05
0.20 <0.05
SI-1 23/4 0.30 <0.05
0.34 <0.05
SI-4 13/6 1.09 <0.05
1.05 <0.05
SI-?9 12/6 0.10 <0.05
0.13 <0.05
SI-4 26/7 0.20 0.80
0.21 0.84
SI-1 29/7 0.13 0.25
0.10 0.20
SI-1 22/9 0.93 0.31
0.89 0.34
SI-4 18/9 <0.05 <0.05
<0.05 <0.05
Jamaica Pt 27/5 0.06 <0.05
0.05 <0.05
Marker 41 18/8 0.08 0.06
0.08 0.05
Patuxent 13/7 0.81 <0.05
0.81 <0.05
1-49
-------
f:
QUALITY ASSURANCE DATA
Appendix Table 11. Summary of spiked sample analyses and percent recovery.
STATION
1980
DATE
SI-1 23/4
+2 ppb spike 23/4
SI-1 16/6
+2 ppb spike 16/6
SI-1 29/7
+2 ppb spike 29/7
SI-1 22/9
+2 ppb spike 22/9
Wier 22/7 (2225)
+2 ppb spike 22/7 (2225)
Wier 4/8 (1430)
+2 ppb spike 4/8 (1430)
Wier 3/10 (1000)
+2 ppb spike 3/10 (1000)
HERBICIDE CONC. (ppb) % RECOVERY
ATRAZINE LINURON AT.
0.15
2.09
<0.05
2.01
0.13
2.01
0.93
3.01
0.76
2.59
<0.05
2.05
<0.05
1.91
<0.05
1.98
<0.05
2.03
0.25
2.08
0.3]
2.18
<0.05
1.93
<0.05
1.97
<0.05
2.03
97.2
100.5
94.4
102.7
93.8
102.5
95.5
LIN.
99.0
101.5
92.4
94.4
96.5
98.5
101.5
1-50
-------
CHAPTER II
TEMPORAL RESPONSES OF A SUBMERGED VASCULAR PLANT
AND ITS ASSOCIATED AUTOTROPHIC COMMUNITY
TO ATRAZINE STRESS IN ESTUARINE MICROCOSMS
J.J. Cunningham1, W.M. Kemp1,
M.R. Lewis1»z and J.C. Stevenson1
Point Environmental Laboratories, University of Maryland,
CEES, P.O. Box 775, Cambridge, MD. 21613 U.S.A.
2Present address: Department of Biology, Dalhousle University,
Halifax, Nova Scotia, Canada B3H 401
-------
•f
r
ACKNOWLEDGEMENTS
Numerous individuals contributed to the conduct of this research project,
including: S. Slacum and S. Long for laboratory assistance; L. Douglas, R.
Brinsfield and S. Bellinger for consultation on statistical analyses; J.
Gilliard for typing; D. Kennedy and F. Younger for drafting; and R. Galloway,
T. Jones, R. Twilley, J. Means, W. Boynton, T. Fisher, D. Correll and R.
Sjoblad for advice and review of manuscripts. Atrazine analyses were performed
by C. Ganz of EnCase Laboratories in cooperation with L. Newby and L. Bal-
lantine of Ciba-Geigy Corp. Computational work was supported by the Univer-
sity of Maryland Computer Science Center. This work was funded in part by a
grant from the U.S. Environmental Protection Agency's Chesapeake Bay Program
No. R805932010.
11-11
-------
f
ABSTRACT
Experiments were conducted over eight weeks in large (700 1) estuarine
microcosms to test a variety of physiological and morphological responses of
the submerged vascular plant, Potamogeton perfoliatus. to the herbicide, atra-
zine. At atrazine concentrations of about 0.13 ppm (equivalent to highest
values occurring in the estuary) significant decreases in apparent 03 produ-
ction (Pa) were exhibited immediately following treatment; however, a signifi-
cant trend of photosynthetic recovery was evident within 2 wk, eventhough
atrazine levels remained relatively constant. Since herbicide treatment exerted
negligible effect on dark respiration (RM)t the metabolic ratio Pa=Rn responded
in much the same way as did Pa. Integrated community production and consump-
tion of 03 followed patterns similar to those for P. perfoliatus, and on
hypothesized atrazine-induced shift in relative contributions of each auto-
trophic group (macrophytes, phytoplankton, epiphytes benthic microalgae) was
not borne out. While areal densities of plant shoots for the experimental
populations were unaffected by this level of treatment, total biomass decreased
significantly, and a lag of 2-4 wk was evident following initial losses of Pa.
Morphology of individual shoots was markedly influenced by atrazine, with
significant increases in mean shoot length and decreases in weight per unit
length. Furthermore, chlorophyll a per unit leaf area Increased 5-fold with
atrazine treatment, and Such effecTs are analogous to previously reported
shade adaptations of this and other submerged plants. The implications of
these results are discussed in terms of design for further dose-response studies
of herbicides and SAV.
II-l
I
-------
INTRODUCTION
Structural and functional attributes of submerged vascular plants provide
a basis for diverse ecosystems which dominate the littoral zones of many aqua-
tic environments. These plants, which are among the most productive In the
world (Westlake, 1968; Mann 1982), supply a food-base for variegated detrital
trophic chains. Their physical structure creates a unique habitat for epi-
phytic organisms (Nagel, 1968; Marsh, 1973; Nelson, 1979) and a refuge for
small fish and invertebrates from predation (Adams, 1976; Coen et al., 1981).
Submerged aquatic vegetation (SAV) markedly influences several aspects of its
environment, including: the local physical circulation and related sedimento-
logical processes (Ginsburg and Lowenstam; Ginsburg, 1958; Fonseca et al.
1982; Harlin et al. 1982). The cycling of nutrients (McRoy et al. 1972,
Howard-Williams, 1981), and the geochemistry of sediment pore-waters (lizumi
et al. 1980, Kenworthy et al. 1982).
While the ecological importance of SAV is widely recognized, in many
aquatic systems this role is being diminished or lost as plant populations
undergo major declines 1n abundance (e.g. Den Hartog and Poldermann, 1975;
Peres and Picard, 1975). In one large North American estuary, Chesapeake
Bay, a continuing decrease in SAV distribution and abundance has been apparent
since the mid-1960's (Bayley et al. 1978, Orth and Moore 1981). Numerous
factors have been suggested as contributing to this and other SAV declines,
Including decreased water clarity; (e.g. Kullberg, 1974; Jupp and Spence 1977);
nutrient enrichment and associated algal growth (Phillips et al., 1978; Sand-
Jensen and S0ndergaard, 1981); and Intense, localized phenomenon such as
grazing and foraging by waterfowl and fish (Orth 1975; Kijirboe 1980).
Che recent study has suggested that Inadvertent runoff of agricultural
herbicides (primarily the widely used compound, atrazlne) may have contributed
to the loss of SAV 1n Chesapeake Bay (Correll and Wu 1982). Moreover, 1n some
watercourses dense populations of these plants have been perceived as deleteri-
ous to human Interests, and active application of herbicides has been used to
control SAV growth (e.g., Brooker and Edwards 1975, Robson and Barrett 1977).
Thus, there 1s a need to understand the nature and magnitude of herbicide
effects on SAV. Several studies have examined herbicide effect on SAV by
monitoring either loss of photosynthesis in shortterm (2h-4d) exposures (Sutton
et al. 1969, Bieleckl and Skrabka 1976) or changes in growth, mortality and/or
photosynthesis after longer (3-6 wk) exposures (Forney and Davis 1981, Correll
and Wu 1982). However, few Investigations have considered temooral patterns
of response, and other measures of SAV physiology (such as pigmentation and
morphology) have largely been overlooked in relation to herbicides. Some
researchers have measured herbicide effects on photosynthesis and respiration
of Integrated SAV communities (Brooker and Edwards 1973 a,b, Strange 1976,
Strange and Shreck 1976), but none have measured effects at levels of Individual
II-2
-------
plants, plant populations, and associated communities.
The present study was initiated to investigate temporal trends in photo-
synthesis, respiration, biomass and abundance (as well as other morphological
and physiological variables) for the submerged plant, Potamogeton perfoliatus.
in response to atrazine stress over several weeks. Broader, ecological effects
of atrazine were also considered in terms of oxygen production and respiration
for whole experimental communities and for major autotrophic groups comprising
those communities. The overall goal of this study was to characterize atrazine
effects on a spectrum of plant and community physiological and ecological
variables and to determine temporal patterns of these effects. This study was
not intended to develop detailed dose-response relationships for atrazine and
£. perfoliatus; these are provided elsewhere (Kemp et al. 1982).
MATERIALS AND METHODS
Experimental Design
We hypothesized that indications of stress in P_. perfoliatus would be
evident within 1-3 weeks following atrazine treatment in terms of several
physiological variables, including photosynthesis, respiration, pigmentation,
stem and leaf weight and meristic relations. We also postulated that some
recovery would occur within weeks, and that other autotrophic groups would
exhibit responses inverse to those for SAV due to competitive interaction.
Since the objectives of this study were to discern the qualitative nature of
stress responses, we utilized relatively high concentrations of atrazine (ap-
proximating extreme in situ conditions) to increase the likelihood of observ-
able effects.
Time-series observations of SAV responses required experimental popula-
tions large enough to allow weekly removal of several plants without markedly
disturbing the population (<5% removal). Plant growth (shoot length and
density) was measured non-destructively at weekly Intervals to minimize
sampling effects; however, periodic removal of plants was also necessary to
establish length-weight relations. The large experimental microcosms used
here provided sufficient plant material for the above measurements,and ade-
quate water volume and surface area were also available in these systems for
growth of associated micro-algal populations. i~
A split-plot, 2-way analysis of variance was employed for statistical
interpretation, with herbicide dosage as the main plot and time and replicates
as subplots. In this factorial experiment significant differences (p<0.05)
among means were isolated with the Student-Newman-Kuels multiple range test
(Snedecor and Cochran 1967).
Experimental Systems
Microcosm communities were established 1n 6 large glass aquaria (1.8 x
0.6 x 0.8m), each containing approximately 700 t filtered (5u) water and
12 cm depth of sediments from the Choptank River estuary, a tributary on the
II-3
-------
eastern shore of Chesapeake Bay. The sandy-silt sediment, which was obtained
from an existing SAV bed, had sand/silt/clay proportions of 76/20/4 and con-
tained about 0.8% organic matter. Microcosms were maintained in an air-
conditioned laboratory and water temperature remained relatively constant
throughout the study (22-26 C), with typical diel ranges of 2 C. An initial
salinity of 9.5°/oo increased about l°/oo from beginning to end of experiment
due to evaporation. The microcosms were illuminated by banks of "cool white"
fluorescent lights on a 14 h photoperiod. Water in the microcosms was contin-
uously circulated using centrifugal pumps (Little Giant Model 2 MD, rated flow
of 17 i min'1), with inlet and outlet diffusers separated at opposite
ends of the tanks. Each microcosm was seeded initially with 75 individual
plants (shoots 6-50 cm, rhizomes 2-5 cm) of the submerged vascular plant,
Potamogeton perfoliatus. obtained in July 1978 from a population 1n the Chop-
tank River estuary.
Atrazine Addition and Analysis
After establishing the microcosm communities, a period of 3 weeks was
allowed for these systems to equilibrate prior to additon of atrazine. In an
effort to simulate actual runoff conditions, atrazine was added to microcosms
adsorbed onto sediments. Technical grade (96.4% purity) atrazine was dissolved
in 100 mi. acetone and dried onto a 1.0 kg (dry weight) sediment sample.
Aquaria were randomly paired and selected for each of 2 treatments: high
dosage (860 mg atrazine); low dosage (86 mg atrazine) and control (sediment
addition only). The herbicide and/or sediment dosages were Introduced by
vigorously mixing into the microcosm water. Water, sediment and suspended
solids (>0.3 y) were collected for analysis of atrazine residues at 3 times
during the experiment (1 d prior to treatment, and 36 h and 30 d following
treatment). Atrazine residues were extracted in methanol (a Soxhlet apparatus
was used for sediments) and analyzed using gas chromatographic techniques
(Purkayastha and Cochrane 1973). Analyses were performed at EnCase Labora-
tories (Greensboro, NC, USA) through the cooperation of C1ba-Geigy Corporation.
Photosynthesis and Respiration
Photosynthesis and respiration of P. perfoliatus were measured in each
microcosm at 6-8 d intervals beginning T wk prior to treatment. Individual
plants were carefully removed from sediments with minimum disruption, and a
single shoot with about 5 cm length of rhizome (roots intact) was washed free
of sediments and epiphytes and placed Into a BOD bottle (300 ml) containing
ambient water from the respective microcosm. Apparent photosynthesis (Pa)
and dark respiration (Rn) were measured as oxygen (Og) changes during incuba-
tions of 2 h in 6 replicate clear and opaque bottles suspended at the depth of
the plant canopy in each system (Buesa 1975). Epiphytes removed from individual
plants were incubated separately in light and cu.rk (L and D) BOD bottles, and
triplicate L and D bottles containing only water and suspended material were
incubated to estimate plankton production and respiration (used also as a
"blank" to correct plant and epiphyte measurements). Metabolism of the benthic
community was determined using L and D acrylic cylinders (800 mi) inserted
2 cm into sediments. In all cases rates were estimated as changes in 03
measured at 2-3 h Intervals over a 9-12 h Incubation. Bottles were suspended
in front of the circulation pump outlet diffuser to gently and continually mix
II-4
-------
them, and bottles were shaken by hand at 30min Intervals to insure that gas
diffusion gradients would be minimized (e.g., Conover 1967, Westlake 1978).
At the end of each incubation, plants were placed in aluminum foil dishes
and dried at 60 C to constant weight, ^standardize metabolic rates to dry
weight of plant material (g 0- (g d.w.) h ). Plant and epiphyte
production and respiration rates were also extrapolated to g Oo m"^"1 by
multiplying specific rates by plant density and photoperiod, while water depth
(or height under chamber) was used to obtain areal rates for plankton and
benthos. Polarographic oxygen electrodes (Orbisphere Model 2709) were used to
measure 03 concentrations, and air calibration was performed daily. The
potential problems of lacunal storage of 02 in submerged vascular plants
(e.g., Zieman and Wetzel 1980) were not encountered in these well circulated
systems (Westlake 1978), and periodic contemporaneous measurements of uC-uptake
(Lewis et al., 1982) yielded photosynthetic quotients (02 production:1"^
incorporation) of about 1.5 (Lewis, 1980).
Community metabolism (Pa and Rn) was also monitored weekly by measuring
mean 03 concentrations in the open water of each microcosm at the beginning
and end of the pho'«.operiod. Production and respiration of microcosm communi-
ties were taken as the increase and decrease, respectively, in 03 concentration
between successive dawn and dusk measurements (Odum, 1956). Concentrations of
62 were maintained above 5.5 ppm throughout the experiment by periodic aeration
using standard aquarium bubblers. Corrections for gas transfer across the
air-water interface were made by applying a diffusion coefficient to the ob-
served mean saturation deficit (Odum and Hoskins, 1958). Coefficients for 02
diffusion (averaging 0.15 g Q£ irr^^atm"1) were obtained by
monitoring the rate of 02 invasion into microcosms which had been previously
deoxygenated by bubbling with nitrogen gas (Kemp et al., 1983).
Plant Abundance, Biomass and Morphometry
Plant density (shoots nr2) and shoot length were determined each
week beginning 2 wk prior to treatment. Quadrats in each microcosm were care-
fully marked, and all stems in each were counted and measured for length during
a given sampling. Plant biomass In the aquaria was estimated with the following
non-destructive technique. At the beginning and end of the experiment, and
twice during the study, 20-30 plants representative of the entire spectrum of
size-classes, were selected from each experimental treatment. Plants were
measured individually for length and number of leaves and were dried to constant
weight (at 60 C). Biomass of each microcosm was estimated for each week using
linear regressions of weight versus length and applying measurements of mean
and total length to obtain total plant weight. At the conclusion of the experi-
ment, 3 replicate cores (9 cm dia) wtre taken from microcosm communities to
determine representative ratios of above-ground:below-ground plant biomass,
and total aboveground (shoot) material was harvested, dried and weighed.
Other Variables
Chlorophyll a concentrations 1n P. oerfoliatus were measured at the end
of the experiment~by taking leaf sectTons (18 mm*) in duplicate from the
uppermost leaves of 3 plants in microcosms. Each leaf disc was extracted in
II-5
-------
tl
the dark at 5 C for 24 h in 90% acetone after tissue grinding (Vernon, 1960).
Absorbance values were read at 665 and 745 nm on a Beckman (Model 88) spec-
trophotometer, and chlorophyll concentrations were calculated using the tri-
chromatic equations given by Strickland and Parsons (1972). Plankton and
benthic algal pigments were estimated according to the methods of Strickland
and Parsons (1972).
Photosynthetically active radiation (PAR) was measured weekly in each
microcosm at mid-water depth using a LICOR (Model LI-192SB) cosine-corrected
sensor. Total suspended solids were also measured by filtering triplicate 250
mi water samples through pre-weighted, dried Whatman GFC (1.2 y) filters,
which were dried to constant weight at 90 C, cooled in dessicator and reweighed
(Strickland and Parsons, 1972). The filtrate was frozen for subsequent analyses
of nitrate, nitrite and orthophosphate using methods of Strickland and Parsons
(1972), while ammonium was analyzed as in Grasshoff and Johannsen (1972).
Temperature and salinity were monitored at each measurement of microcosm 02
concentrations (weekly at dawn-dusk-dawn) using a Beckman (Model RS5-3) induc-
tion salinometer and thermistor.
RESULTS AND DISCUSSION
Atrazine Concentrations and Partitioning
Aqueous concentrations of atrazine were relatively constant throughout
the experiment following treatments, with values of about 0.13 ppm for "low"
dose systems and 1.20 ppm for "high" dose. The lower concentrations correspond
to the maximum concentrations of atrazine observed in Chesapeake Bay (Kemp et
al.» 1982). Atrazine concentrations were similar at 3 and 30 d following
treatment in both high and low dose experimental systems, and atrazine budgets
developed for these microcosm, indicate about 15-20% loss of the herbicide
during the experiment. Assuming a first-order degradation process, this implies
a half-life of about 3-4 mo, which is 3-6 times that estimated by Jones et al.
(1982) under different experimental conditions (exposed to natural ultraviolet
radiation). By far, the vast majority of the compound remained in solution,
with about 11, 6 and 0.03% of the total mass contained in sediments, plants
and suspended solids, respectively (Fig. 1). The estimated plant uptake of
atrazine was similar to that reported by previous investigators (Funderbunk
and Lawrence, 1963; Negi et al., 1963; Sutton et al., 1969).
Environmental Variables
During the course of the experiment there were several notable changes in
the milieu of these microcosms. Some of these changes are evident in control
systems, and probably reflect natural processes in the development of microcosm
communities. For example, total seston (suspended particulates) underwent a
significant decrease in concentration from the beginning to end of the study
but showed no response to treatment (Table 1). While cylces of fluctuating
concentrations of dissolved nutrients may be evident on longer time-scales
(Kemp et al., 1981), during the 7-8 wk of this study control and low dose
microcosms experienced only small changes in nutrients (Table 1). Under high
11-6
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II-7
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TABLE 1. Summary of selected environmental variables for microcosm communities
treated with the herbicide, atrazine.*
Variable
Total Seston
(mg/Ji)
PAR
(pEin m"2s~ l)
NO;
( uM)
NO;
NHj
U)
Control
Pre Post
27.8 19.2
±0.2 ±5.1
122
±4
0.46 0.65
±0.11
0.22 0.12
±0.05
0.21 0.93
±0.15
0.17 0.14
±0.02
Treatment
Low
Pre Post
27.5 21.3
±1.9 ± 5.5
131
±10
0.35 1.13
±0.46
0.35 0.23
±0.10
2.32 2.07
±0.14
0.32 0.08
±0.02
High
Pre Post
29.4 20.3
±1.4 ±5.0
131
±8
0.41 11.2
±1.30
0.12 1.44
±0.41
0.30 40.21
±11.8
0.191 0.63
±0.21
*6iven are means ± standard deviation for 2 pre-treatment samplings and for
samplings in the final 2 weeks of post treatment observation. For
replication, n=4 for seston, nutrients and post-treatment PAR, n=l for
pretreatment nutrients.
#Photosynthet1cally active radiation measured at mid depth of water column
(ca. 35 cm below water surface).
II-8
-------
herbicide treatments there were marked Increases 1n concentration for all
rj nutrient species measured (NO^, NO?, NHt, P0=4), resulting
from plant excretion and decomposition (e.g., Strange, 1976). Although light
available for plant photosynthesis (PAR) was below saturation values (Golds-
borough, 1983), there were no significant differences among treatments (Table
!)•
Plant Photosynthesis and Respiration
Over the first 4 wk of measurements apparent photosynthesis (Pa) for
control plants (P. perfoliatusl exhibited a continual Increase (0.41 to 1.11
gOgifZd"* ), witn" a significant decline (to 0.67 gOom^d"1 )
in che last week (F1g. 2a). Values of Pa normalized per unit weight of
plant did not change significantly through week 6 (mean = 2.79 mg 02 g dry
wt."1^"1), with a sharp decline again in week 7 (1.75). Under low
atrazine dosage Pq decreased significantly with treatment in week 4 followed
by a steady and significant recovery (Fig. 2a). While Pa for low dose micro-
cosms remained below that for controls throughout post-treatment observations,
by week 7 it was statistically indistinguishable from pre-treatment values
(week 3). Furthermore, Pa per unit weight was not significantly different
for control and low dosed plants 1n the final week of observation. At high
herbicide dosage Pa remaine-l negative throughout. This recovery of Pa at
low dose is remarkable in view of the fact that atrazine concentrations re-
mained relatively constant throughout. To our knowledge, there have been no
previous reports of this behavior, and the mechanism whereby 1t might occur 1s
uncertain (Kemp et al. 1982).
The mean losses of Pa over the 4 wk following treatment for plants
exposed in this study to Tow (0.13 ppm) and high (1.2 ppm) dosage of atrazine
were 100% and about 50% compared to control plants, respectively. These results
are comparable to previous reports on effects of atrazine and related herbicides
on SAV photosynthesis. In their Investigation of simazine effects on 3 fresh-
water vascular plants, Sutton et al. (1969) observed a maximum of 40% reduction
/ - 1n 0? concentration (rather than rate of production) after 4 d at 0.12 ppm.
Similarly, Bielecki and Skrabka (1976) reported about 35% loss of carbon diox-
ide fixation by the macrophyte, Spirodela polyrrhiza, exposed to 0.2 ppm sima-
zine for 24 h, while Fowler (1977) observed about 50% decrease 1n Pa of Myrio-
phyllum sp. at 0.5 ppm of another ^-triazine (DPX 2674) after 10 d. In a
study of longer duration, Correll and Wu (1982) reported Pa for 4 SAV species
(9_. pectlnatus, Z. palustris, _V. americana and Zostera marina) after 3-6 wk
exposures to 0.075 and 0.65 ppm atrazine. .*t the lower concentration effects
-r on Pa ranged from a 48% stimulation to a 39% depression compared to controls,
while the higher concentration resulted in 71-100% loss of Pa. There was no
' evidence of metabolic recovery 1n any of the short-term experiments, and data
\ provided 1n the longer study of Correll and Wu (1982) was Insufficient for any
,\ such Interpretation.
The pronounced effects of atrazine and other £-tr1az1ne herbicides on SAV
photosynthesis 1s to be expected in view of the fact that the mode of toxic
action Involves H111 Reaction blockage on the reducing side of photosystem II
(Souza-Machado et al., 1978). However, the anticipated effects on plant respir-
ation are, perhaps, less obvious. Dark respiration (Rn) was unaffected by
II-9
-------
POTAMOGETON PERFOLIATUS
LO
O
m
UJ 0.5
< +1
Or
-I
.•.'.'.'a) PRODUCTION, P0
.'•'• • .|b)RESPIRATION,Rn
• '. •'. .[c) RATIO, P0: Rn
34567
WEEK OF EXPERIMENT
F1g. 2. Metabolic responses of Potamogeton perfollatus to low (L = 0.13 ppm)
and high (H « 1.20 ppm) dosages of atrazlne as compared to controls
1C), In terms of a) apparent 02 production (Pa), b) dark respiration
(Rn;, and c) the ratio P^Rn- Points and vertical bars Indicate
mean ± standard error. Shaded portion of figure represents pretreat-
ment period.
11-10
-------
low atrazine treatment, remaining relatively constant throughout the study.
Under high dosage Rp showed a steady and significant decline through week 7
(Fig. 2b). The ratio of Pa to dark respiration provides an index of the
metabolic energy balance for the plant population (e.g., Drew 1979). Since Rn
changed very little, patterns of Pa:Rn (on a diel basis) were similar to the
temporal and treatment trends for Pa alone (Fig. 2c). Thus, for the recovery
period (weeks 5-7) low dosed plants were able to undergo minimal net growth,
as Pa:Rn remained near 1.0 for weeks 5-6, increasing somewhat t.o 1.6 in week
/ •
Plant Abundance and Selected Morphological and Physiological Variables
Responses of plant photosynthesis and respiration to herbicide treatment
were eventually manifested as changes in abundance and biomass of these SAV
populations, as well as changes in plant morphology. Density (#/m2 ) of
shoots (stems with leaves) increased in a nearly linear manner between v.eeks 2
and 6 for both control and low dose microcosms, with no change occurring from
week 6 to 7 (Fig. 3a). There was no significant difference between these two
treatments. At high atrazine dosage (1.2 ppm) a significant decline was ob-
served from week 5 to 7, with final shoot density only about 20% of control
values (Table 2). While changes in shoot numbers provided only weak indication
of herbicide response here for P. perfoliatus, Correll and Wu (1982) found
shoot mortality to be a reasonable measure of stress for V. americana treated
with relatively low concentrations of atrazine (0.012 ppmj.
At the beginning and throughout the experiment, representative samples of
plant shoots were obtained from microcosms to establish length (L, cm) versus
weight (B, gm) relationships, so that stem density data could be translated
into biomass. Significant linear regressions were obtained throughout; however,
significant changes in slope (p<0.05, analysis of covariance) were also ob-
served. For pre-treatment weeks the regression for plants in all microcosms
was
B * 0.0032 L + 0.0003 (r2 « 0.89).
The slope of this relation for the pooled control system data for weeks 5 and
7 (F1£. 4) had increased sign;Ticantly (indicating that a unit length of plant
was heavier). The slope of the L-B regression for low dosed plants was signifi-
cantly less than that for controls in the final 3 wk (F1g. 4), and the mean
L:B ratio was significantly Increased with treatment (2.4, 4.3 and 6.1, re-
spectively, Table 2).
Applying the regressions 1n Fig. 4 to the stem density data 1n Fig. 3a,
we obtain ar estimate of plant biomass for f_. perfoliatus populations 1n experi-
mental microcosms (F1g. 3b). In control microcosms through week 6, net accre-
tion of plant biomass proceeded at a consistent rate (0.7 g d.w. m^d'1)
which is identical to the mean value of post-treatment Pa (assuming that g
Og:g d.w. * 1.0 as in Odum, 1971). Significant effects of atrazine dosage
on total plant biomass were detectable 2 wk following dosage for both treat-
ments (F1g. 3b). Thus, there was a 1 wk lag between the Initial Indication of
metabolic decline and 1nc1p1ertly observable losses of plant material. By
week 7 biomass 1n the high dose microcosms had been virtually eliminated, as a
11-11
-------
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234567
WEEK OF EXPERIMENT
F1g. 3. Temporal responses of a) plant blomass, b) shoot density, and c) mean
shoot length for Potamogeton perfollatus exposed to low (0.13 pom)
and high (1.20 ppm) doses of atrazlne compared to controls. Vertical
bar Indicate ± standard error, and dashed lines with arrows represents
the Initiation of treatment.
11-12
-------
TABLE 2. Summary of selected physiological and morphological characteristics
treated with the Herbicide, atrazine.*
Treatment
Measurement
Shoot Biomass (Ba)
(g d.w. m'2)
Rhizobial Biomass (Bb)
(g d.w. m'2)
Ratio, Bh:B.
u a
Shoot Density
(no. m'2)
Mean length of Shoots
(cm plant'1)
Length: Weight Ratio**
(m g-1)
Chlorophyll a
(mg m-2(leafT)
Internodal Length
(cm)
Control
44.3 ±
40.0 ±
0.93 ±
458 t
15.5 ±
2.4 ±
28 ±
1.37 ±
17.1
12.9
0.22
13
2.9
0.3
8
0.06
Low
24.3 ±
20.0 ±
0.94 ±
477 ±
20.2 ±
4.3 ±
158 ±
1.11 ±
8.7
8.6
0.54
41
2.5
0.6
16
0.09
High
1.4 ± 0.1
-f
_t
107 ± 6
19.6 ± 1.9
6.1 ± 2.3
114 ± 5
1.89 i 0.82
*Data are from samples taken in last week of experiment, except in the case of
Shoot Lengths which are averaged over the last 3 wk. Given are mean values ±
standard deviation, where n = 12 for Chlorophyll, n - 6 for Biomass and Shoot
Length, and n=20-30 for LengthrWeight and Internodal Length.
**Rat1o for individual shoots from weeks 4, 7 and 8.
tRhizobial biomass is not reported for high dose systems because plant material
appeared to be dead and decaying.
11-13
-------
0.15
o»
- 0.10
LU
(T
Q
H
< 0.05
_l
£L
LENGTH VERSUS WEIGHT
(Potomogeton perf o\ iotus)
10
Low Dose
0.0027X-0.0059
(r2«0.75)
High Dose
Y*0.0039X-0.0438
(r2 *0.76)
15 20 25 30
STEM LENGTH.cm
35
F1g. 4. Dry weight of plant stems versus stem length for Potamogeton perfollatus
1n microcosms treated with atrazlne at low (solid circles, 0.13 ppm)
and high (circles with dots, 1.20 ppm) doses and for untreated plants
1n control (open circle) microcosms. Plant samples taken 2 and 4 wk
after Initial treatment.
11-14
-------
r i
t
* t
consequence of negative values for Pa over the previous 4 wk. This 4 wk
lapse between full metabolic and biomass response is consistent with the
respiratory turn-over time (T = biomass:respiration) just prior to treatment,
where biomass was at about 15 g m~2 and respiration was 0.4 g m~2d~l (T =
37 d). Plant biomass in low dose microcosms remained constant after week 5 at
low dose, suggesting again a recovery of metabolic balance (c.f., Fig. 2).
while both herbicide dosages caused significant reduction in total standing
stocks, the ratio of below-ground to above-ground biomass was unaffected by
atrazine treatment (Table 2). Other investigators (Brooker and Edwards, 1973;
Strange, 1976) have reported marked losses of macrophytic biomass after prolonged
(30 d) exposures to high concentrations of herbicides (>0.5 ppm); however, the
temporal correspondence between reductions in Pa and biomass have not been
examined previously.
The size-distribution of £. perfoliatus shoots was unaffected by
herbicide treatment in our experiments, with plants in the 6-10 cm class
dominating throughout the experiment at all atrazine levels (Cunningham,
1979). Average length of individual shoots, however, was significantly
increased for both low and high treatments within 2 wk following atrazine
amendments (Fig. 3c, Table 2). In contrast, Forney and Davis (1981) re-
ported the opposite response, with 26-51% reduction in growth of shoots
for £. perfoliatus exposed to 0.1-0.32 ppm atrazine for 4 wk. This differ-
ence may be due to the relatively low light intensities (75 wEin m^s"1)
under which their experiments were conducted. The elongation effect which
we observed is consistent with the change in lengthrweight ratio discussed
above.
There is some evidence that the photosynthetic stress imposed by
atrazine could elicit this increase in stem length, where for instance,
Young and Evans (1978) found that leaf elongation and etiolation were an
indication of atrazine stress and tolerance in perennial grasses. Stem
and leaf elongation have been suggested by numerous Investigators as indices
of shade adaptation in submerged vascular plants. Spence (1975) has re-
viewed the substantial literature documenting this effect for various
Potamogetonaceae under reduced Intensity and quality of light in field and
laboratory experiments. While the control mechanism for this response of
submerged aquatic plants to decreased light is uncertain, it is of physio-
logical Interest that atrazine exposure produced a similar effect.
Another Index of shade response by Pptamogeton spp. and other SAV
species with distinct leaf and stem structure (Spence 1975) 1s "Internodal
length" (I.e., the mean distance along the stem between leaf nodes). For
atrazine treated £. perfoliatus, the effect on Internodal length was less
clear than for mean stem length and for L:B ratio. Although a significant
(38%) Increase In this index was evident for high dose plants compared to
controls, there was a slight decrease for low atrazine treated plants. No
pre-treatment differences were evident among microcosm plant populations.
For this analysis, special effort was made to select plants representative*
of size distributions of respective experimental populations, since a
significant relationship was found between Internodal length (I, cm) and
total stem length (L, cm),
11-15
-------
I = 0.025 L + 1.002 (r2 =0.83).
Thus, this index (internodal length) is subject to the vagueries of visually
determined "representative samples".
Concentrations of chlorophyll a in£. perfoliatus leaves also exhibited
a reaction to atrazine treatment whTch is analogous to that expected under
extreme light limitaticn, where significantly elevated levels of chlorophyll
£ were measured for herbicide treated plants (Table 2). An inverse rela-
tionship between ambient light and chlorophyll £ has been previously
reported for various submerged plants (e.g., Bowes et al., 1977; Wiginton
and McMillan, 1979; Drew, 1979).
Several Investigators have observed this "greening effect" of increased
chlorophyll content under atrazine stress for algae and terrestrial plants;
however, we have found no previous reference to effects of atrazine on pigment
composition in aquatic vascular plants (Ebert and Dumford, 1976). The physio-
logical mechanisms whereby these reactions (elongation and increased chloro-
phyll) to atrazine stress might be effected are presently unclear (Ebert and
Dumford, 1976; Moreland, 1980), as is the relationship (if any) to modes of
shade adaptation.
Community Photosynthesis and Respiration
Apparent production (Pa), night respiration (Rn) and the metabolic
ratio (Pa-'Rn) f°r *ne integrated microcosm communities are provided in Fig.
5. The general response of these metabolic variables was similar to that for
P_. perfoliatus alone (Fig. 2), with significant effects on Pa at low and high
dose and recovery of low dose Pa toward the end of the experiment. A distinct
difference, however, was the pronounced decrease in community Pa following
treatment, even for control microcosms. This may be partially attributable to
the addition of sediments as a vehicle control; however, seston levels in
post-treatment weeks actually decreased for all microcosms steadily over the
course of the experiment (Table 1 and Cunningham, 1979). Probably, a more
reasonable explanation lies in the sharp reduction in dissolved nutrients and
associated phytoplankton populations. In control microcosms by week 4, concen-
trations of NH^, NOj and P0=4 decreased to 0.10, 0.15 and 0.14 uM
respectively, and between weeks 3 and 4 algal Pa decreased by more than 50%.
However, without untreated controls this remains an open question.
The response of community R,, to treatment (F1g. 5b) was almost identical
to that for £. perfoliatus respiration, with significant effects evident only
at high dosage. Community Pa:Rn ratios also followed similar pattern to
those for SAV (Fig. 5c), although ratios were generally below 1.0 (even for
controls) indicating a net consumption of previously stored (probably sediment)
detrltal organic matter (Odum, 1956). Presumably, the lack of a strong response
in community Rn to herbicide treatment may further reflect the relative im-
portance of detrltal (rather than direct grazing) trophic chains 1n these
microcosms, since the loss of Pa did not produce a comparable reduction in
Rn.
Few studies have reported effects of atrazine treatment on community Pa
11-16
-------
COMMUNITY
a) PRODUCTION.?.
WRESPIRATION.R
o
- o
a: -I
-2
10, R.:R.
34567
WEEK OF EXPERIMENT
F1g. 5. Metabolic responses of microcosm communities containing Potamogeton
perfollatus to low (L = 0.13 ppm) and high (H = 1.20 ppm) dosages of
atrazlne as compared to controls (C), 1n terms of a) apparent 0?
production (Pa), b) night respiration (Rn), and c) the ratio Pa:Rn.
Points and vertical bars Indicate mean ± range and shaded portion of
figure represents pretreatment period.
11-17
-------
and Rn. However, two investigations have measured effects of other herbicides
on community oxygen metabolism. Brooker and Edwards (1973 a,b) found that
community metabolism in a reservoir treated with paraquat to control the SAV,
Myriophyllum sp., exhibited an initial loss of Pa, followed by a return to
pre-treatment levels within 1-2 wk. However, most of this recovery was attrib-
uted to increased phytoplankton production, with an eventual recolonization
after 1-2 mo by macrophytic algae (Chara globularis) rather than SAV. Strange
(1976) reported virtual loss of community Pa (as CCfc uptake) in microcosms
containing the SAV, Egeria densa, within 30 d following treatment with 0.5 ppm
mixed herbicides (diquat and endothall). Daily measurements of Pa indicated
little or no recovery after treatment. Here as in our study, the effect on
respiration was less marked, so that Pa:Rn followed a pattern similar to
that for Pa. In contrast, Brooker and Edwards (1973 a,b) observed losses of
Pa and Rn to be similar, with little effect on Pa:Rn, probably because of
the mechanism of paraquat action involving formation of generally reactive
free-radicals.
We had hypothesized that the relative balance among major autotrophic
groups (SAV, epiphytes, phytoplankton, and benthic microalgae) would shift in
response to differential effects of herbicide treatment and resulting changes
in competitive advantage for light and nutrients. However, our observations
failed to corroborate this hypothesis. The relative contributions of these 4
groups *.o total gross 0? production (operationally defined as Pa plus Rn)
are given in Fig. 6. In control and low dose microcosms P. £erfoliatu£ contri-
butions increased steadily from 41 and 44% in week 3 to 77 and 74% in week 7,
while the phytoplankton proportions decreased from 41 and 43% to 8 and 7% in
control and low dose, respectively. Phytoplankton and epiphytes did comprise
a slightly greater portion of total production under high dosage; however, the
rates were all so low that it 1s hard to ascribe any particular Importance to
this. The absence of herbicide induced changes in the balance among autotrophs
is probably the consequence of two major factors. First, herbicide toxicity
may be similar for all pnotosynthetic organisms in the microcosm communities.
Secondly, the particularly low concentrations of dissolved nutrients in micro-
cosm water columns may have conferred overwhelming advantage to P. perfoliatus
which was able to draw on higher concentrations available in sedTment pore-
waters.
Final Comments
This experiment has demonstrated the ability of a submerged vascular
plant, P_. perfoliatus, to recover photosynthetic 03 production within several
weeks following continuous treatment with moderately high concentrations of
the herbicide atrazine. Such observations emphasize the importance of examining
temporal patterns over weeks or months for understanding the effects of herbi-
cides on SAV. More subtle manifestations of effects such as changes in repro-
ductive success would require even longer term experiments. We report here
several other indices of atrazine effects such as stem elongation, reduced
stem weight per unit length, increased internodal length and increased levels
of chlorophyll £, all of which are parallel to tht previously observed response
of this and related species to reduced light intensities. Such indices could
be used routinely as measures of atrazine stress; however, care must be taken
not to confuse plant responses to herbicide and shade. The effects of atrazine
11-18
-------
\ t-
TABLE 3. Coefficients cf variation (CV) for apparent production in microcosm
communities treated with the herbicide, atrazi.ne.*
Treatment
Component
CONTROL
Macrophyte
Plankton
LOU DOSE
Macrophyte
Plankton
HIGH DOSE
Macrophyte
Plankton
Week of Experiment
3t
40. 2*
37.8t
58. 6f
27.0*
26.3t
19.3f
4
21.3
12.4
50.3
34.2
174.4
171.4
5
20.8
65.4
38.3
122.8
115.6
85.3
6
40.5
64.3
23.4
64.3
136.1
137.1
7
17.2
95.4
40.2
111.9
80.0
166.7
*CV is defined as (standard deviation/mean) x 100.
tWeek 3 is prior to treatment; weeks 4-7 are post-treatment.
11-19
-------
0SAV
BSPHYTO PLANKTON
BENTHIC ALGAE
EPIPHYTES
4567
WEEK OF EXPERIMENT
Fig. 6. Relative contributions (compared to control microcosm in week 6) of
Potamogeton perfpii atus (SAV), phytoplankton, benthic microalgae and
epiphytic algae to total gross 0? production (defined as Pa plus
Rn) of experimental communities in a) control, b) low (0.13 ppm)
atrazine dosed, and c) high (1.20 ppm) atrazine dosed microcosms.
Treatment was initiated 1 d prior to week 4 measurements.
11-20
-------
on competitive interactions among primary producers in SAV communities may
not involve compensatory shifts in relative balance. However, this question
needs to be addressed in experimental systems where both sediment and aqueous
nutrients are continuously available. By characterizing a broad range of
atrazine effects on P_. perfoliatus physiology and morphology, this study has
provided a basis for further examination of SAV responses to herbicides at
lower concentrations typical of those occurring frequently in estuaries such
as Chesapeake Bay.
11-21
-------
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11-22
-------
t!
13. Den Hartog, C., Polderman, P.J.G. (1975). Changes in the seagrass popu-
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19. Funderbunk, H.H., Lawrence, J.M. (1963). Absorption and translocation of
radioactive herbicides in submersed and emersed aquatic weeds. Weed Res.
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24. Howard-Williams, C. (1981). Studies on the ability of a Potamogeton
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27. Jupp, B.P., Spence, D.H.N. (1977). Limitations on macrophytes in a
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Env. Labs, Cambridge, MD. 82 pp.
30. Kenworthy, W.J., Zieman, J.C., Thayer, G.W. (1982). Evidence for the
influence of seagrasses on the benthic nitrogen cycle in a coastal plain
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41. Nelson, W.G. (1979). An analysis of structural pattern In an eelgrass
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87-118.
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CHAPTER III
RESPONSE OF POTAMOGETON PERFOLIATUS AND MYRIOPHYLLUM SPICATUM
PHOTOSYNTHESIS AND GROWTH
TO ATRAZINE AND LINURON STRESS IN ESTUARINE MICROCOSMS*
W. Michael Kempt
Jeffrey J. Cunnlnghamt**
J. Court Stevensont
Walter R. Boynton#
Jay C. Means!
August 1982
Contribution No. 1431 Center for Environmental and Estuarlne Studies,
Un1ver1sty of Maryland
tHorn Point Environmental Laboratories, P.O. Box 775,
Cambridge, MD. 21613
: fChesapeake Biological Laboratory, P.O. Box 38,
: Solomons, MD. 20688
**Present Address: Department of Agricultural and Resource Economics,
i University of Maryland, College Park, MD. 20742
j
-------
f.
INTRODUCTION
The littoral waters of Chesapeake Bay historically have been dominated by
productive communities of submerged vascular plants (e.g. Bayley et al. 1978;
Stevenson and Confer 1978). This submerged aquatic vegetation (SAV) can pro-
vide food, habitat and refuge from predators for many fish and invertebrates
during crucial stages of their growth cycle (Adams 1976). Moreover, SAV com-
munities stabilize surrounding estuarine ecosystems by trapping and binding
sediments (Orth 1977), and by modulating pulses in estuarine nutrient cycles
(Barsdate et al. 1974; Howard-Williams 1981).
Over the last two decades, the numerous species of submerged macrophytes
native to Chesapeake Bay have undergone a dramatic decline in abundance and
distribution, so that current populations in the upper and middle bay are less
than 5% of their previous levels (Stevenson and Confer 1978; Orth and Moore
1981). Just prior to this reduction of native SAV species, there was an
unprecedented invasion of the exotic SAV, Myriophyllum spicatum, which grew
to nuisance proportions in a period of 3-5 years, after which it too decreased
rapidly (Bayley et al. 1978).
The cause of this decline has been a subject of considerable debate over
the last several years; however, one of the primary factors postulated as a
causative agent is the runoff of agricultural herbicides (Kemp et al. 1982).
The vast agricultural enterprise in Chesapeake Bay's watershed employs a
variety of phytotoxic compounds for weed control. Two of the most widely used
herbicides in this region are atrazine and linuron. In some previous experi-
ments the phytotoxic effects of atrazine were tested for the macrophyte,
Potamogeton perfoliatus (Cunningham 1979). This plant, which is one of the
dominant native species in middle and upper Chesapeake Bay, exhibited strong
photosynthetic inhibition at herbicide levels of about 100 and 1000 ppb. How-
ever, even the lower of these conccentrations is slightly greater than the
highest levels measured in runoff water entering the estuary (Hershner et al.
1982). Other recent studies have reported variable results regarding growth
and mortality responses of this genus to various concentrations of atrazine
(Forney and Davis 1981; Cornell and Wu 1982), although some suprassion of
growth was generally evident at 10-30 ppb (Forney and Davis 1981).
The purpose of the present study was to further Investigate herbicide
phytotoxicity in the estuarine environment, examining additional compounds and
plant species over a broader range of herbicide concentrations. In addition to
P. perfoliatus we selected M. spicatum for these experiments to test the
Tfypothesis that it is more Tolerant to herbicide stress than the native species,
thus possibly explaining Its Invasion just prior to onset of the general SAV
decline. Experiments were conducted using two herbicides, atrazine and linuron,
each of which is considered representative of a whole class of compounds (Kemp
III-l
-------
et al. 1982). The study design employed nominal herbicide concentrations of
0, 5, 50, 100, 500 and 1000 ppb aqueous, and plant response was measured in
terms of apparent production and respiration as well as growth and abundance.
Herbicide concentrations in these experiments were compared to those observed
in *n extensive estuarine monitoring program to interpret these experimental
results in terms of the potential role of herbicides in the SAV decline.
MATERIALS AND METHODS
Experimental Systems
Experimental microcosm communities were established in 42 glass aquaria
(32x 35 x 48 cm), each containing about 50 I of filtered (5 p) estuarine
water and about 8 cm depth of sediment. Microcosms were seeded with 10
individual Potamogeton perfpliatus or Myriophyllum spicatum plants of 6-14 cm
stem length (2-6 cm rhizome) inserted into the sediments. Sediments were a
sandy silt similar to that described in Cunningham (1979). Water, sediments
and plants were all obtained from the brackish (8-12) ppt portion of the
Choptank River estuary, a tributary of Chesapeake Bay.
Microcosms were maintained in an air-conditioned laboratory providing
relatively constant water temperature (21.5 ± 1.5 C) throughout the study.
Salinity was kept at 9.0 ± 1.1 ppt by replacing evaporative losses with
distilled water. Illumination was provided by banks of cool white fluorescent
lights on a 14 h photoperlod, yielding about 150-200 pE1n nr^s-l at the
water surface. Water was continuously recirculated using centrifugal submerged
pumps with Inlet and outlet diffusers at opposite ends of each aquarium. The
inner walls of these microcosms were scraped clean of epibota at weekly
intervals.
Photosynthesis and Respiration
Apparent photosynthesis (Pa) and night respiration (Rn) for each plant
community were estimated twice weekly on successive days using measurements of
dissolved oxygen (DO) in the water column at dawn and dusk (Odum and Hoskins
1958; McConnel1 1962). Concentrations of DO were maintained above 3-4 ppm
throughout the study by periodic aeration with standard aquarium bubblers.
Corrections for gas transfer across the air-water Interface were made by
applying a diffusion coefficient to the observed mean departure from satura-
tion (Odum and Hoskins 1958). Appropriate coefficients were obtained by
measuring the rate of oxygen Invasion Into filtered (1.0 ym) aquarium water
(previously deoxygenated by bubbling with N? gas). These aquaria contained
no sediment, and a control with DO near saturation was utilized to account
for any DO change due to microbial metabolism. In all, 5 such diffusion experi-
ments were conducted *ndi2 examples are provided 1n F1g. 1. Coefficients ranged
from 0.15-0.22 g02 m h atm and averaged 0.18. Periodically, Pg and Rn were
determined by measuring DO at 2-4 h Intervals over an entire dlel sequence,
and these experiments demonstrated that the error in estimating metabolic
111-2
-------
3.0
2.5
O)
»
X
O
•g 2.0
w
(0
*-
a
x
UJ
1.5
1.0
GAS TRANSFER ACROSS
AIR-WATER INTERFACE
Control
Experiment 1
k-0.21
Experiment 2
k» 0.16
_L
JL
9.5
i_
O>
9.0 5
c
0)
O)
8.5
X
O
•o
0)
"o
CO
0)
5
o
8.0
o
O
7.5
J
1 2
Time from Start (h)
Figure 1. Example results of two experiments to measure the coefficient of 02
diffusion across the air-water interface in experimental microcosms.
III-3
-------
rates from DO at dawn and dusk only was small (<5%). Examples of 2 such diel
patterns for control (Fig. 2a) and treated (Fig. 2b) microcosms with _P.
perfoliatus are presented in Fig. 2. Reaeration (diffusion) corrections were
either positive (Fig. 2a) or negative (Fig. 2b) but were always <10-15% of Pa.
Contribution of plankton to the observed DO changes in microcosm water
were estimated during the first experiment by incubating duplicate clear and
opaque BOD bottles containing aquarium water. Again, Pa and Rn were inferred
from DO changes in light and dark bottles which were incubated for 2-3 h
suspended in front of the circulation pump outlet diffuser to gently and con-
tinually mix them. Plankton contribution to total water DO changes was generally
neglibible (<5%), and therefore was not measured in the second experiment.
Plant Abundance and Biomass
Plant density (shoots/nr) and shoot lengtn were determined in each micro-
cosm at 3-4 wk intervals for the atrazine experiment. At each sampling all
stems were counted and measured for length. At the beginning and end of
experiments several representative plants were selected from each microcosm,
and these were measured individually and dried to constant weight at 60C
(272h). Regressions of dry weight versus stem length were obtained and used to
infer biomass from the stem density and length surveys. Initial biomass (i.e.
weight of plants inserted in sediment) was estimated more directly by obtaining
a blotted wet weight prior to planting and developing a regression of wet to
dry weight on a subsample of 35-40 plants (Fig. 3). When experiments were
terminated, all plants were harvested from each microcosm and shoots were
dried at 60C to constant weight. Biomass of roots and rhizomes was not con-
sidered here, since it was found to be proportional to shoot biomass for all
herbicide treatments in an earlier study (Cunninghern 1979), and since it was
<3Q% of total plant biomass in control microcosms (Fig. 4).
Herbicide Dosing, Sampling and Analysis
After establishing the microcosm communities, a period of 7-8 wk was
allowed for development and equilibration prior to herbicide dosing.
Technical grade (96.4% purity) atrazine was dissolved 1n 100 ml of methanol
for delivery Into the aquaria at nominal concentrations (calculated on the
basis of microcosm water volume) of 0, 5, 50, 100, 500 and 1000 ppb, with both
untreated and vehicle (methanol only) controls. Duplicate microcosms were
randomly selected for each treatment.
At the termination of these experiments, samples of water, sediment and
plant material were obtained from each aquarium for herbicide analysis. Two
liters of water were collected in glass bottles and stored at 4C until analysis.
Approximately 1.0 kg of sediment was collected from each system using brass
corers, and these samples were frozen at -40C 1n glass bottles until analysis.
Samples of plant material were drained, wrapped 1n aluminum foil and frozen at
-40C until analysis. The extraction, clean-up and concentration procedures for
atrazine and Unuron were similar and, therefore, will be presented together.
All glassware and apparatus used in the extraction and clean-up procedures were
111-4
-------
a) CONTROL
Oo CONCENTRATION
Reaeration
Correc'fion
RATE of ©2 CHANGE
b) 100 ppb ATRAZINE
cv
O
o>
8
7
S
O2 CONCENTRATION
CM
-H)-2
'« +0.1
o
CM
O
+0.2
Pa
Reaeration Correction
RATE of O2 CHANGE
8 12 16 20
Time (h)
24
Figure 2. Example die! patterns of 02 concentration and .-ate of chanqe
in 02 with correction for gas exchange for a) control micro-
cosm and b) 100 ppb atrazine treatment. Apparent 0-,
production (Pa) and night respiration (Rn) are indicated
III-5
-------
0.4
0.3
o>
O>
0.2
0.1
WATER CONTENT
o P. perfoliatus, control
Q F. perfoliatus. 1-5 ppb
x P. perfoliatus. 50 ppb
• M. spicatum. control
0 /
s
xo
o /
/
»/'°J^ ^All Plants
Y - 0.072X + 0.037
V^ » (r2 = 0.88)
•Potamogetan perfoliatus
Y- 0.098X - O.O05
(r2-0.92)
2 3
Wet Weight, g
Figure 3. Water content (dry versus wet weight) for Potamogeton perfollatus
and Myrlophynum spicatum us»ri in microcostn experiments: ^
III-6
-------
-
K «•
jn
Q.
•*»
O)
F" 3
d>
o
o
rr
ROOT vs SHOOT WEIGHT
(Potamogeton perfoliatus)
/ ®
»v
468
Shoot Weight, g/plant
10
Figure 4. Belowground (Root) versus aboveground (Shoot) weights for
Potamogeton perfoliatus used in microcosm experiments.
III-7
-------
washed with glass distilled delonlzed water, ana pesticide grade methanol prior
to use.
'"xtractlon of frozen sediment and plant tissue samples was achieved by
weighing the frozen material in a tared, pre-extracted Soxhlet thimble.
Samples were exhaustively extr?cted in a Soxhlet apparatus for 24 h with
200 ml of d1st11led-1n-glass (DIG) methanol (Burdick and Jackson, Milwaukee, MI).
Following extraction, sediment or tissue samples were oven-dried over night at
105C. Methanol extracts were dried over anhydrous sodium sulfate, concentrated
in a rotary vacuum evaporator to approximately 10 ml, and taken to dryness
under a stream of pure nitrogen. The residue was dissolved in 1 ml of DIG
met anol for analysis. Some samples required clean-up prior to analysis, where
the entire 1 ml sample was passed through a preparative reverse-phase liquid
chromatograpMcc column (Bondapak CIQ) "sing a solvent system of 50:50
methanolrwater. The fractlon(s) for atrazlne and/or Unuron were collected,
evaporated under nitrogen and dissolved 1n 1 ml of DIG methanol for
quantitative analysis.
Water samples (1-2 t) in glass bottles were filtered through pre-
combusted Whatman GF/C glass-fiber filters and then pumped at a rate of
3 ml/min through a SEP-PAK CIQ (Waters Associates) cartridge which was
pre-cleaned with 4 ml each of DIG acetonltrile, DIG methanol and distilled-
deionized (DDI) water. After this procedure, the bottle was washed with
50ml of DDI water, and this was also pumped through the SEP-PAK. Finally,
15 ml of DDI water was passed through the SEP-PAK to remove salt. The SEP-PAK
was eluted with 5 ml of DIG methanol, and the eluent was evaporated under a
stream of nitrogen and dissolved in 1 ml of DIG methanol containing a known
quantity of an internal standard (diphenylamine) for quantitative analysis.
Quantitative analysis was performed using a combination of gas chromatography
and liquid chromatography. Atrazlne residues were quantified using a Hewlett-
Packard 5840 gas chromatograph equipped with 2 m length of all-glass column
(2 mm ID) packed with 10% Carbowax 20 M on 80/100 Supelcoport. The column
was maintained at a temperature of 160C, andd Injector and detector were held
at 225C and 300C, respectively. An alkali-flame nitrogen-phosphorus specific
detector was used to measure the amount of atrazlne and Internal standard in
a 4 pi sample. Quantification was achieved by comparing the atrazine/internal
standard ratio (AT/IS) to a calibration curve of AT/IS versus atrazlne
concentration.
Unuron and atrazine residues were measured using a Waters Associates
6000A liquid chromatograph equipped with a p-Bondapak-Phenyl (T.M.) column,
a model 440 fixed wavelength ultraviolet detector (254 ym), a Perkin-Elmer
M-2 electronic integrator and a Linear 159 chart recorder. Samples (20 yt)
were Introduced into the column using a Rheodyne 7125 Injection valve and
eluted using an 1socrat1c solvent system of 35% accetonitrlle/water. Areas
under the sample peaks were Integrated and compared to a calibration curve for
the compound.
111-8
-------
Physical and Chemical Variables
Dissolved oxygen and temperature measurements were obtained using polaro-
graphic oxygen electrodes (Orbisphere Model 2709) calibrated dally 1n moist
air. Salinity was measured at the beginning of each week using a Beckman
(Model RS5-3) Induction salinometer. Photosynthetlcally active radiation was
determined weekly In selected microcosms at mid-water depth using a LICOR
(Model-LI-192SB) cosine-corrected sensor. Concentrations of dissolved Inorganic
nitrogen species (NH*, NO? and N(E) were measured on microcosm water
passing a Whatman GFC (1.2 u) filter using a Tecnnicon Auto-Analyzer system.
Nitrate and nitrite were determined according to the cadmium-reduction method,
and ammonium analysis employed the Solarozano technique (Strickland and Parsons
1972).
Statistical Approach
Several statistical tests were utilized to identify significant effects
of herbicides in the microcosm experiments. All analyses were done using appar-
ent photosynthesis (Pa) and biomass as the variables indicating macrophyte
performance. Testing of effects on Pa was divided into two stages involving
pre-treatment and post-treatment data. In the first stage, pre-treatment data
were subjected to an analysis of co-variance to determine if differences 1n
the rate of Increase of Pa among microcosms developed during the 4-5 wk
period prior to herbicide treatment. In addition, the means of pre-treatment
data were compared to determine if photosynthetic rates were equal in all
treatments at the start of the experiment. This pre-treatment analysis was
essential in the present study because differences among microcosms could
develop in response to factors (such as sediment conditions) not related to
herbicide treatment, and such differences would invalidate post-treatment
comparisons among experimental systems. The second stage of our statistical
Interpretation consisted of one-way analysis of variance (AN OVA) testing,
where herbicide concentration was the treatment. Tests were run Independently
for observations in each post-treatment week and significant differences among
means were Identified using the Student-Newman Kuels (SNK) multiple range
test. Analysis of post-treatment data was done both with and without correction
for pre-treatment differences in Pa. Biomass data were tested using simple
one-way AN OVA with SNK.
RESULTS AND DISCUSSION
Atrazine Experiments
For the sake of clarity, atrazlne and linuron experiments will be discussed
separately. However, these will be compared and the overall implications
considered in a final section.
111-9
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« Atrazlne Concentrations
Atrazlne concentrations remained relatively unchanged through the experi-
mental period, with 84-89% of the original dose remaining after 4 wk (Table 1).
Assuming first-order degradation kinetics, this Is equivalent to a half-life
of about 3-4 mo. which Is comparable to values observed by Cunningham (1979)
and Correll and Wu (1982) for similar microcosms. This degradation rate 1s
considerably slower than the rate reported by Jones et al. (1982a) using smaller
experimental systems exposed to ambient temperature and light. Concentrations
of the herbicide taken up by either P. perfollatus or £. spicaturn were below
our limits of detection (1.0 pg/kg) Tn all experiments, and concentrations
were also low for the sediments. Thus, very little of the applied atrazlne was
sorbed or degraded, so that concentrations were relatively constant.
Atrazlne Effects on Photosynthesis and Respiration
Measurements of Pa and Rn for these SAV microcosms were Initiated 2 wk
after planting of the communities, and they were continued for 5 wk prior to
treatment. During this pretreatment phase, Pa and Rn (F1g. 5 and 6, Appendix
Tables 1 A-D, 5 A-D) exhibited a general increase as the communities became
established. Values for Pa were consistently higher in the M^. spicatum
communities, and this may be attributable to the 30% greater quantum efficiency
of this plant compared to £. perfollatus (Kemp et al. 1981). Since the analysis
of experimental effects compares treatment level to control for all dates
following initial dosing, some consideration was given to t.ie comparability
of these communities prior to treatment. Analysis of covariance Indicated tv»at
the slopes of increasing Pa versus time for all aquaria in a given experiment
were not significantly different (Table 2). The mean pretreatment values of
Pa were, however, statistically different (Table 2), so that all post-treatment
values could be normalized to controls according to the pretreatment ratio of
mean Pa for a given microcosm to mean Pa of controls (referred to as "intercept
adjustment"). We present ANOVA results for these data both with and without
this adjustment.
The effects of atrazlne on Pa of P. perfoliatus and M_. spicatum are sum-
marized in Table 3. At atrazlne >50 ppF there was significant depression of
Pa for £. perfollatus in all posT-treatment weeks (8-11), while at 5 ppb the
t effects were significant in weeks 9 and 10 but not 8 and 11. The vehicle con-
trols exhibited a small but significant decrease in Pa for week 9, with an
effect 1n week 8 only apparent without Intercept adjustment. Myriophyllum
j spicatum Pa was less sensitive to the negative effects of atrazlne, and In
! fact there was a significant enhancement of Pa over vehicle controls at
I 5 ppb. Similar growth stimulation at low concentration of photosynthetic
) Inhibitor herbicides has been observed for various terrestrial weeds (Ries
| 1976; Hoffman and Lavy 1978) and submerged plants (Forney and Davis 1981;
i Correll and Hu 1982). The mechanism for this stimulation is unclear. However,
i5 two possible explanations are: first, utilization of nitrogen released during
i degradation of atrazlne by these nutrient-limited plant populations (Kemp et
• al. 1980); and second, Increased chlorophyll £ production under atrazlne stress
! (Cunningham 1979). A significant loss of Pa was evident at atrazlne >50 ppb
\ for the first 2 wk of treatment. However, in weeks 9 and 10 no negative effects
i
I 111-10
-------
Table 1. Results of atrazine analysis of water, sediments and plant tissue at the end of
the 1979 microcosm experiments*. Given are means ± standard deviation.
Sample
50 ppb atrazine
100 ppb atrazine
500 ppb atrazine
1000 ppb atrazine
42
89
445
869
Water
.3 i 4.5
.6 ± 24.6
i 57.6
± 128
Sediment
TR*
TR
1.4 ± 0.8
2.4 ± 0.4
Plant Tissue
(wg/kg)
TR
TR
TR
TR
Percent
Recovery
84
89
89
87
#Control andbppD samples were contaminnated prior to analysis.
*TR ^0.1 ug/kg for sediments and 1.0 ug/kg for plant tissues.
III-ll
-------
CM
O
o>
J
•o
O
0)
ffl
a
a
P. perfoliatus vs ATRAZINE
- CONTROL
VEHICLE CONTROL
5 ppb
50 ppb
J L.
100 ppb
500 ppb
1000 ppb
-.P.
treatment
initiated
-..T. i .T.T. T« -.T.-.T.-r-?
•• •!••"• ••"•-t» *•• •••.."• •
„**.».*.!.• i-.. r..- '.-
»•"••, • . », ••» •••••»•••",«
6
7
10 11
Week of Experiment
Figure 5.
Mean of four weekly measurements of apparent 02 pro-
duction for microcosm communities containing Potamogeton
perfpllatus exposed to 5 levels of atrazlne dosage with
two kinds of controls (untreated and treated with solvent
only). Shaded areas represent approximate departures
from control levels.
111-12
-------
o
oZ
**
»
co
Q.
a
M. spicatum vs ATRAZINE
- 8
CM
O 6
O>
E 4
PH
6
4
2
6
4
2
. CONTROL
5 ppb
50 ppb
_l I
100 ppb
500 ppb
1000 ppb
-treatment
initiated
.-*:*'••
_•••?•
.**•?«?.•;£:•::
••
6
8
9 10 11
Week of Experiment
Figure 6. Mean of four weekly measurements of apparent 0? pro-
duction for microcosm communities containing Myriophyllum
spicatum (see Fig. 5 caption) exposed to 5 levels of
atrazine dosage with vehicle control (treated with solvents
111-13
-------
i •
Table 2. Summary of one-way analysis of variance and covarlance for pretreat-
ment behavior in experiments to tsst herbicide effects on Potamogeton
perfoliatus and Myriophyllum splcatum apparent photosynthesis (Pa). Tests
are for equality of slopes as Pa increased during pre-treatment and
equality of mean pre-treatment values of Pa.t
Experiment
Potamogeton
vs. Atrazine
Myrophyl 1 urn
vs. Atrazine
Potamogeton
vs. tinuron
Myrophyl 1 urn
Equality of
Slopes I
0.3645
0.8064
0.2270
0.6561
Equality of
Cell Means*
0.0011*
0.0000*
0.0110*
0.0353*
vs. Linuron
tTable entries are probabilities that slopes or means are different.
lvalues <0.05 Indicate that there are significant differences (p<0.05) among
pre-treatment slopes of Pa over time.
*Va1ues <0.05 were taken to indicate that time-zero Intercepts (I.e., Initial
Pa) were significantly different among Individual microcosms.
111-14
-------
i!
were seen at concentration <100 ppb. Respiration generally followed Pa closely
(Appendix Tables IB and D, 5B and D) with some lag 1n response time, so that
the ratio Pa:Rn provided a less sensitive measure of stress.
The effects observed 1n this experiment at concentrations >50 ppb are
similar to those reported previously for various £-triazine herbicides and sub-
merged vascular plant species. For example, Sutton et al. (1969) found 40%
loss of Pa for £. canadensis and Myriophyllum sp. after 4 d at 120 ppb atrazine,
while Bielecki and Skrabka (1976) found similar effects for Spirodela polyrhiza
after 24 h exposure to 100 ppb simazine, and Fowler (1977) reported 50%
decrease in Pa of Myriophyllum sp. at 500 ppb of another triazine (DPX
2674) after 10 d. Correll and Wu (1982) observed a range of effects from 48%
stimulation to 39% depression of Pa after 3-6 wk exposure to 75-650 ppb atra-
zine for 4 other SAV species (_P. pectinatus, Zanichellia palustris, Vallisneria
americana, Zostera marina). Recently, Walsh et al. (1982) has estimated the
atrazine concentration for a 50% loss of Pa in the tropical seagrass, Thalassia
testudinum, to be 320 ppb.
There is striking evidence of photosynthetic recovery for both P_.
perfoliatus and M^. spicatum ? wk after treatments of _<50 ppb atrazine, and
for M. spTcatum even at 100 ppb (Figs. 5 and 6, Table 3). This recovery 1s
simiTar to that reported by Cunningham et al. (1982) for £. perfoliatus at
100 ppb. What is so remarkable about this recovery is that it occurred in the
face of relatively constant external aqueous concentrations of the herbicide.
Jones et al. (1982b) have demonstrated the ability of £. perfoliatus exposed
to 10-100 ppb atrazine to recover Pa with sequential washes in herbicide-
free water, and this response was attributable to removal of the herbicide
from the chloroplasts. In the present case, however, the mechanism of
recovery must involve some sort of persistent detoxification, but Us exact
description awaits further Investigation.
Phytoplankton production comprised a small to negligible portion of total
community photosynthesis, representing <5% of community Pa for all but
one occasion (when 1t was <15%). In fact, mean plankton Pa was negative for
25 of 42 occasions (Table "?). A possible explanation for this reduced phyto-
plankton production is nutrient limitation (Kemp et al. 1980). Concentrations
of dissolved Inorganic nitrogen remained low in all herbicide experiments
(Table 5), with NHj generally below 3 yM and NO* below 5 MM for
all but the high herbicide treatments (>500 ppbj. Nevertheless, there was a
significant trend of reduced Pa and Increased Rn in the plankton with Increasing
atrazine, particularly above 50 ppb. This pattern 1s consistent with various
studies of £-tr1az1ne toxlcity for algae (Walsh 1972; Pruss and Hlggins 1974;
Valentine and Singham 1976; Hawxby et al. 1977). Since the walls of these
experimental aquaria were maintained clean of algal periphyton, while sediments
(Cunningham 1979) and plankton (Table 4) were generally heterotrophic, dawn-dusk
DO Increases 1n microcosm water probably represent slight underestimates of
vascular plant Pa.
Atrazine Effects on Plant Biomass
Time-course patterns of £. perfoliatus biomass 1n response to atrazine
111-15
-------
Table 3. Summary of one-way analysis of variance for post-treatment data 1n
experiments to test atrazlne effects on apparent photosynthesis (Pa) of
2 macrophyte species.*
Experiment
Treatment
Experimental Week Number
nr
11
Potamogeton
mogi
7~Ai
vs. Atrazine
ttyrlophyllum
vs. Atrazfne
No Intercept Adjustment
Control
Vehicle Control
5 ppb
50 ppb
100 ppb
500 ppb
1000 ppb
Vehicle Control
5 ppb
50 ppb
100 ppb
500 ppb
1000 ppb
0.650a
0.536b
0.505b
0.284c
O.OOSd
-0.286e
-0.196e
0.514a
0.617a
0.211b
-0.024c
-0.183d
-0.448e
0.529a
0.301b
0.158C
-0.069d
-0.383e
-0.341e
-O.bl7f
0.353a
0.392a
-0.134b
-0.253b
-0.389b
-0.547b
0.556a
0.568a
0.416b
0.307C
0.066d
-0.348e
•0.291e
0.540a
0.674b
0.394a
0.398a
-0.122c
-0.268d
0.549a
0.610a
O.SlOa
0.341b
0.140c
-0 198d
0.588a,b
0.672a
0.514b
0.323c
-0.083d
-0.321e
Intercepts Adjusted to Control
Potamogeton Cont^
vs. Atrazine Vehicle Control
5 ppb
50 ppb
100 ppb
500 ppb
1000 ppb
Myriophyllum Vehicle Control
vs. Atrazine 5 ppb
50 ppb
100 ppb
500 ppb
1000 ppb
0.602a
0.563a
0.505a
0.225b
-0.124c
-0.334d
-0.209c
0. 188a
0.399b
-0.060C
-0.294d
-0.270d
-0.734e
0.481a
0.328b
0.158C
-0.129d
-0.473e,f
-0.565f
-0.396e
0.027a
0.175a
-0.4055
-0.522b,c
-0.476 b,c
-0.833C
0.508a,b
0.595a
0.416b
0.248C
-0.066d
-0.396e
-0.304f
0.178a
0.457b
0.123a
0.128a
-0.209C
-0.554d
O.SOla
0.637b
0.510a
0.282c
O.OOSd
-0.246e
-0.173e
0.262a
0.455b
0.243a
0.053C
0.170d
0.607e
*ANOVA tested against treatment Tor each week after treatment Initieted. Values
given are mean P. (g Oom'-^h"1) , and letters following each entry indicate
significantly (p<0.05) different statistical group according to an SNK multiple
range test (read vertically with treatment for each experiment).
111-16
i
-------
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111-18
-------
treatment are presented in Fig. 7. For the control microcosms net production
of above-ground biomass exhibited a logistic growth pattern, with an initial
lag phase of 0.6 gdw nr^d"*, an exponential phase of 2.1 gdw nr^d'*,
and an incipient plateau of 1.0 gdw nr'd"1. These correspond well (assuming
Q£ = dry weiaht = 1.0) to apparent photosynthesis levels of 1.2, 1.5 and
1.8 gO^ d , respectively. The pattern of P. perfoliatus growth was
unaffected by 5 ppb atrazine, and while some effect is evident after 4 weeks of
exposure at 50 ppb, it was not significant )ANOVA; SNK tests). Atrazine MOO ppb
resulted in significant loss of biomass at week 11, although the effect at
week 8 was significant only at concentrations >500 ppb. Forney and Davis
(1981) also found significant loss of biomass Tor P_. perfoliatus after 4 wk
exposure to 100 ppb atrazine, while Fcwler (1977) reported 20-80% loss of
plant vigor (visually discerned) for £. pectinatus at 125 ppb of another s-triazine,
(DPX 3674), for 30-54 d. The submersed aquatic plant, J/. americana is apparently
more sensitive to herbicide stress, where Correll and Wu (1982) observed significant
increases in mortality after 47 d at 12 ppb atrazine.
Biomass production by M. spicatum (Fig. 8) exhibited more
trend in control systems, wTth highest rates during the final i
1.7 gdw m~'d~l. The same growth sequence was exhibited in all t
of an exponential
interval being about
gdw m'^d"1. The same growth sequence was exhibited in all treatments through
100 ppb, with no significant treatment effect. Only at 500 and 1000 ppb were
biomass levels significantly reduced compared to controls. Thus, biomass data
suggest (as did Pa measurements) that this exotic species of SAV was more
tolerant of herbicide stress than was the native. However, unlike the Pa
data, there was no evidence in biomass data of a growth stimulation at the low
treatment (5 ppb).
The biomass estimates in Figs. 7 and 8 are based on direct measurements
for the first and fourth dates (the first was based on wet weights of plants
inserted into aquarium sediment, and the fourth was from final harvests),
but indirect methods were used for the two intermediate observations. These
are based on length-weight relations developed during the course of the
experiment. In an earlier study (Cunningham et al. 1982), a significant
decrease in slope of this relation was observed at atrazine treatments of
100-1000 ppb for £. perfoliatus. In the present study, the atrazine treated
plants similarly "exhibited a reduced slope (Fig. 9), although the difference
was not significant, perhaps due to the shorter water columns in these micro-
cosms compared to those used by Cunningham et al. (1982). These data are from
experimental week 8, and the few plants taken from 500 and 1000 ppb atrazine
treatments followed the same general trend as those from 50-100 ppb. A pro-
nounced difference in slope occurred for M. spicatum treated with atrazine,
and eventhough fewer samples were taken fb~r this species, the slopes were
significantly separated (p<0.05) (Fig. 10). The mechanism for this stem elong-
ation under atrazine stress is unclear, although it is similar to a well-
established shade response (Cunningham et al. 1982).
Linuron Experiments
Linuron Concentrations
Concentrations of linuron were dramatically reduced during the 4 wk experi-
111-19
-------
Figure 7.
P. perfrliatus vs ATRAZ1NE
.
15-
10
5
15
10
1 5
8
«
E 15
«^
* 10
• 5
(O O
T- T-
3SBUJO|a 11
03 5
0.
^
(0
= 15
0 '**
CO
£ 10
5
15
10
5
VEHICLE
CONTROL
range
"s^^
mea0^r*xj
- 50 ppb
' _ P*
" 100 ppb
.
™. *!
500 ppb
*
1000 ppb
fx*!3
f ..i..i |:-:-:-:-xi
•n
Initiate
**
0)
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•:':•'
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:•:
bn
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;'
•".%•
:S:
r^
i
+— i
1
4~
-
"
-
-
•
8
11
Week of Experiment
Time-course measurements of shoot biomass for Potamogeton
perfoliatus exposed to 5 levels of atrazine dosage with
vehicle control (solvent treatment). Initial biomass was
estimated by measuring wet weight and using wet-dry weight
regression; middle two values were estimated by measuring
stem lengths and using a length-weight regression; final
biomass estimated by liarvest. Given are mean and range of
two replicate microcosms.
II1-20
-------
M. soicatum vs ATRAZINE
8
4
8
CO
o
o
o
k.
o
8
4
T3 ^
0)
CO
CO
CO
o
m
"c
CO
8
4
JS 8
o
CO y|
co 4
>
8
4h
VEHICLE
CONTROL
range
mean
5 ppb
50 ppb
100 ppb
500 ppb
1000 ppb
1 579
Week of Experiment
12
Figure 8.
Time-course measurements of shoot blomass (see Fig. 7 caption)
for Myriophynum spicatum exposed to 5 levels of atrazine
dosagt with vehicle control (treated with solvent only).
111-21
-------
0.25
o,
£
O>
"55
>, 0.15
Q
c
£
Q.
0.10
0.05
WEIGHT vs LENGTH
P. perfoliatuf,
Controls
'°° «/ o .
~~....— ~/T~^y
Y= 0.0036X - 0.01 o / xx
(r2 = 0.83) V /
»^X •
/
• /o
o <>y
O'v V
/•• •/
0 ox*° °'°
oo
rx_^f50-100 ppb Atrazine
.0028X - 0.02
o x^ f 50-100 pp
o o' W= 0.002
X O '»• x_o _
/g o v«—
20 40 60
Stem Length, cm
80
Figure 9. Regressions of stem length versus weight for Potamogeton perfollatus
in microcosms untreated and exposed to atrazine.
111-22
-------
I
0.20
WEIGHT vs LENGTH
M. spicatum
Controls
Y- 0.0051X -
20 30 40
Stem Length, cm
50
Figure 10. Regressions of stem length versus weight for Myriophyllum spicatum
in microcosms untreated and exposed to.atrazine^—
in-23
-------
mental period, where only about 15% of the original dose remained to the end
(Table 6). This amounts to a half-life (time until 50% loss) of about 1-2 wk,
for a first-order decay process. The degradation of Unuron was about 10 times
more rapid than that observed for atrazine in comparable experiments. While
there have been no previous studies of Unuron degradation In estuarine systems,
the literature for agricultural soils confirms the relatively labile nature of
this compound (Kemp et al. 1982). The amount of Unuron sorbed to sediments
1n these aquaria was similar to that in the atrazine experiment, but partition
coefficients (soil concentrat1on:aqueous concentration) were about 10 times
higher for linuron, which is consistent again with the agronomy literature
(Kemp et al. 1982).
Linuron Effects on Photosynthesis and Respiration
After an Initial drop from week 3 to 4, Pa and Rn for both P. perfollatus
and J^. spicatum controls steadily Increased until week 8, after which no change
was "apparent (Figs. 11 and 12). Values of Pa and Rn were similar for both
species (Appendix Tables 4 A-D and 6 A-D). As with the atr^zine experiment, we
considered the comparability of pretreatment values of Pa by means of an
analysis of covariance to compare the slope of increasing pretreatment Pa and
the mean Pa at time of treatment. We determined that the pretreatment slopes
of Pa versus time were not significantly different, but mean values of Pa
were (Table 2). Therefore, we analyzed metabolic data both with and without
adjusting post-treatment means to account for this departure from pretreatment
controls (referred to as "intercept adjustment").
The results of sequential one-way ANOVA (with SNK) tests for differences
in Pa among Unuron treatments are summarized in Table 7. No effect on _P.
perfoliatus photosynthesis was evident at 5 ppb linuron, while concentrations
2;50 ppb always resulted in significant depression of Pa compared to controls,
and even greater effect occured at Unuron >500 ppb. Intercept adjustment
did not alter statistical Interpretation. For M. splcatum significant loss of
Pa occurred at Unuron ^100 ppb and occasionally at 50 ppb as well. While there
was a slight stimulation of Pa for M. spicatum at 5 ppb, this effect was not
significant. Respiration generally Toll owed a pattern similar to that for Pa,
Indicating a close coupling of anabolic and catabolic processes (Appendix
Tables 4B and 0, 6B and D). However, effects on respiration were less severe,
and the ratio Pa:Rn indicated that growth would be depressed 1n response
to Unuron treatment, although the effect would be somewhat buffered.
Photosynthesis for both species exhibited a significant recovery trend
(Figs. 11 and 12) at all treatments jClOO ppb (determined by significance of
the slope of Pa versus time). This pattern is similar to that observed for
atrazine treated plants. However, the mechanisms for recovery are probably
quite different since linuron degradation occurred rapidly compared to atrazine
in these microcosms. About 36% of the original dose had already been lost just
1 wk after treatment. Correspondingly, at the 50 ppb treatment about 30% recovery
of Pa was apparent after 1 wk of exposure. Thus, while recovery of Pa 1n the
atrazine experiments probably Involved some sort of enzymatic detoxification,
simple degradation of dissolved Unuron in these experimental systems may
account for the observed return of photosynthesis.
111-24
-------
Table 6. Results of Unuron analysis of water, sediments and plant tissues at the end of
the 1980 microcosm experiments. Given are means ± standard deviation.
Sample
Control
Vehicle control
5 ppb linuron
50 ppb linuron
100 ppb Unuron
500 ppb linuron
1000 ppb linuron
Water
( M9/»)
0
0
1.1 ± 0.2
4.4 t 3.1
12.8 t 5.6
69.7 ± 38.7
100.0 ± 27.9
Sediment
(ug/kg)
0
0
TR*
TR
TR
1.0 ± 0.5
1.4 ± 0.8
Plant Tissue
(wg/kg)
0
0
TR
TR
TR
TR
TR
Percent
Recovery
—
—
22
9
13
14
11
*TR _< 0.1 pg/kg for sediments ana 1.0 wg/kg for plant tissue.
111-25
-------
P. perfoliatus vs LINURON
3456 789 10 11
Week of Experiment
Figure 11. Mean of five weekly measurements of apparent 02 production for
microcosm communities containing Potamogetor, perfoliatus exposed
to 5 levels of linuron dosage with one control (see Fig. 5 caption).
111-26
-------
CM
O
O>
E
o
•o
O
0
CD
a
a
M. spicatum vs LINURON
• MeOH
7 6
• 5 ppb
. 50 ppb
CONTROL
100 ppb
treatment
initiated
10 11
34 56 7 89
Week of Experiment
Figure 12. Mean of five" weekly measurements of apparent 02 production for
microcosm communities containing Myriophyllum spicatum (see
F1g. 5 caption) exposed to 5 levels of llnuron dosage with two
kinds of controls (untreated and treated with solvent only).
111-27
-------
Table 7. Summary of one-way analysis of variance for post-treatment data from experiments
to test linuron effects on apparent photosynthesis (Pa) of 2 submerged macrophyte
species.
Experiment Treatment
Experimental Week Dumber
Iff
II
No intercept Adjustment
Potamogeton
vs
moge
7TT
inuron
Myriophyllum
vs. Linuron
Potamogeton
Tiogj
» L
vs. uTnuron
Control
Vehicle
5 ppb
50 ppb
100 ppb
500 ppb
1000 ppb
Control
Vehicle
5 ppb
50 ppb
100 ppb
500 ppb
1000 ppb
Control
Vehicle
5 ppb
50 ppb
100 ppb
500 ppb
1000 ppb
Cont
Cont
0.239a
, 0.218a
0.122a
-O.lllb
-0.243b
-0.264b
-0.279b
0.218a
. 0.493b
0.384b
-O.OSlc
-0.179c
-0.144c
-0.156c
Cont
0.342a
0.310a
0.132a
-0.090b
-0.202b
-0.253b
-0.313b
0.339a,b
0.331a,b
0.425a
0.139b
0.088c
-0.141c
-0.083c
0.371a
0.457a
0.387a
0.1655
0.075b
-0.147c
-0.246C
0.407a
0.576b
0.691b
0.365a
-0.050c
0.016C
-0.056C
Intercepts Adjusted to Control
0.282a
, 0.394a
0.272a
-0.035b
-0.213b
-0.170b
-0.1396
0.385a
0.486a
0.282a
-0.014b
-0.173b
-0.159b
-0.174b
0.414a
0.628b
0.536b
0.241c
0.102c
-0.052d
-0.107d
0.371a
0.488a
0.431a
0.192b
O.lOSb
-0.135c
-0.216c
0.519a
0.587a
0.763b
0.374c
0.136d
-O.OOSe
-0.946e
0.414a
0.665b
0.581b
0.267c
0.135c
-0.042d
-0.077d
0.412a
0,519a
0.391a
0.242b
0.164b
-O.lllc
-0.203C
0.505a,b
0.596a
0.794c
0.422b
0.160d
O.OOOe
-0.046e
0.455a
0.695b
0.5407a
0.318C
0.193d
-0.0177e
-0.064e
Myriophyllum
vs. Linuron
Control
Vehicle Cont.
5 ppb
50 ppb
100 ppb
500 ppb
1000 ppb
0.179a
0.283a
0.143a
-0.112b
-0.232b,c
-0.339c
-0.354c
0.300a
0.121a
0.184a
O.lOSa
-0.141b
-0.336b
-0.282b
0.368a
0.367a
0.450a
0.335a
-0.003b
-0.211C
-0.255C
0.479a,b
0.377a,b
0.522a
0.343b
0.083c
-0.200d
-0.244d
0.467a,b
0.386b
0.553a
0.391b
0.107c
-0.195d
-0.246d
*ANOVA testecTagainst treatment for each week after treatment Initiated. Values given
are mean P. (g Oo m'^h"1) and letters following each entry Indicate significantly
different *p<0.05) statistical groups according to SNK multiple range test (read vertically
with treatment for each experiment).
111-28
-------
Overall, the effects of linuron treatment on productivity of these two
plant species are remarkably similar to those observed for atrazine exposure.
Few previous studies have examined linuron toxicity for aquat'Ic plants.
However, Bielecki and Skrabka (1976) have shown that short-term (24 h) losses
of photosynthesis by Spirodela polyrrhiza were similar for linuron and sima-
zine (an s^triazine closely related to atrazine), although slightly less severe
for the latter compound. While the modes of action for these two herbicides
are somewhat different, as with atrazine both are photosynthetic inhibitors.
"he similarity of effects between linuron and the s-triazines is consistent with
a recent study by O'Brien and Prendeville (1979) wFich demonstrated that linuron
and simazine induced identical rates of electrolyte leakage from the cell membrane
of Lemna minor. Toxicities of linuron and atrazine for a wide range of terrestial
weeds have also shown to be relatively comparable (Stevenson and Confer 1978).
Linuron Effects on Plant Biomass
At the end of this experiment total plant biomass was harvested from each
microcosm, and these data are summarized in Fig. 13. For £. perfpliatus there
was a clear trend of decreasing biomass with treatment at herbicide concentrations
2.50 ppb. No effect was evident at 5 ppb, but significant loss of plant material
occurred at >50 ppb (p£0.05, 1-way ANOVA, SNK). In fact, treatment effects
separated inTo 3 groups (control and 5 ppb, 50 and 100 ppb, and 500 and 1000 ppb).
There was a small but insignificant increase in biomass for M. spicatum at 5 ppb,
although no such effect was apparrent in Pa data. A trend similar to that for
£. perfoliatus occurred for M^. spicatum, with mean biomass decreasing as treat-
ments increased from 50-1000 ppb, but significant losses (p<0.05) were seen
only at linuron 2.500 ppb. At 100 ppb the effect was marginaTly significant
(p^0.20). It appears that plant biomass is a less sensitive index of linuron
stress than Pa, possible because Pa and Rn tend to become adjusted, minimizing
effects on plant growth.
IMPLICATIONS: HERBICIDES AND ESTUARINE VASCULAR PLANTS
Relative Phytotoxicity of Herbicides for Plants
The relationships between herbicide dosage and plant production or biomass
can be expressed in terms of an exponential dose-response model (BUss 1970;
Horowitz 1976). In Fig. 14 we present mean Pa as a percent of vehicle control
plotted versus the logarithm of nominal herbicide concentration for the four
experiments performed in this study. This model provides a good descrip-
tion for the results of two experiments (atrazine/fl. spicatum and linuron/
P. perfoliatus), with r' _> 0.99. While some version of the logistic model might
Tfave been more appropriate for the other two experiments (Bliss 1970; Streibig
1980), the exponential model, nonetheless, accounted for > 94% of the variance
in those data (Fig. 14).
Overall, the dose-response relations for all four experiments were simi-
lar with slopes and intercepts ranging from 36.8-48.9 and 110.5-147.4,
respectively. However, several differences are worth noting. The generally
greater sensitivity of £. perfoliatus to both herbicides is evident here by the
111-29
-------
10
(0
o
o
o
i_
O
•a
o>
w"
o>
CO
o
m
o
Q.
O
O
CO
(a)
P. perfoiiatus
(x and range)
10
(b)
M. spicatum
and range)
control
50
100
500 1000
Linuron Dose, ppb
Figure 13. Shoot biomass for a) P. perfoiiatus and b) M. spicatum harvested after
5 weeks exposure to SHevels of linuron dosage with untreated controls
Given are means and ranges for duplicate microcosms. Asterisks indi-
cate significant (p<0.05) differences between treatments and consols
111-30
-------
I1
•
100
80
60
0)
40
o
O
JB
.O
0>
M 20
a) ATRAZINE
E, perfoliatus
. Y- 121.3 - 41.3X
(r2 - 0.95)
M. spicatum
Y- 14~7.4 -47.0X
(r2 = 0.99)
I50 - 55 ppb
ol
o
to
o
CO
0.
c
CO
0>
100
80
60
40
20
b) LINURON
P. perfoliatus
Y- 110.5 - 36.8X
(r2 - 1.00)
M. spicatum
Y-142.1 - 48.9X
(r2 . 0.94)
•so • 45
10
50 100
500 1000
Log Herbicide Concentration (ppb)
Fig. 14. Regressions of mean apparent 02 production (as a % of control) over
the first 4 weeks of treatment versus log of herbicide concentration
for £. perfoliatus and H. spicatum treated with a) atrazine and h)
linuron. Also shown are values of ICQ (herbicide concentrations
anddhe"bicid """ 50% photosynthetlc inhibition) for each species
111-31
-------
.$ fact that mean Pa's for this species were lower than for M. spicatum at all
f but the highest herbicide concentrations. The apparent greater tolerancce of
M. spicatum to atrazine and Unuron exposure and the actual stimulation of its
: production at low concentrations might lead to some speculations concerning
the proliferation of this species in upper Chesapeake Bay prior to the general
die-back of all submerged plants (Bayley et al. 1978). Using 150 (herbicide
concentration producing 50% Inhibition) as an index of relative toxicity,
we also find that Unuron was slightly more effective than atrazine at reducing
Pa for both plant species. Combining the results of all four experiments in
this statistical model, we find a reasonably strong regression (rz = 0.93),
with ICQ = 72 ppb. The herbicide concentration inducing incipient (1%) inhibi-
tion (II.Q) can be inferred from this model, and values of IJ.Q range from
.
2-11 ppb. Relationships between plant biomass (after a 5 wk treatment) and
herbicide dosing concentration were also statistically significant for all
experiments, with r2 _> 0»?3 for all but the atrazine/M. spicatum study. Values
for It ft and Ig0 were similar for Pa and biomass (TabTe 8) , wm en is not
surprising given the physiological relation between production and final
standing crop.
A few previous studies have used the same exponential dose-response model
for herbicides and submerged vascular plants. Forney and Davis (1981) estimated
the ranges of Ii g to be 1-14 ppb and that 159 to be from 53-907 ppb for
E. canadensis, vl americana and P_. perfoliatys exposed to atrazine using a
variety of growth parameters to measure inhibition. They also found that N[.
spicatum was significantly more tolerant of herbicide stress than the other
species. Walsh et al. (1982) reported that Pa for ]_. testudinum exhibited
somewhat less sensitivity to atrazine exposure than observed in the present
study for £. perfoliatus and M. spicatum, with I£Q for the seagrass being
about 320 ppb. The effects of~atraz1ne on submerged plants reported by Correll
et al. (1978) and Correll and Wu (1982) were not treated in a dose-response
model. However, using a linear Interpolation between % inhibition of Pa
observed at 2 test concentrations, we estimate 159 values to have ranged
from about 150-450 ppb, with the highest value for the temperate seagrass, Z.
marina. Yet, at 12 ppb atrazine mortality of _V. americana was estimated to ¥e
about 501 (I.e., ISQ » 12 ppb) 1n a later experiment (Correll and Wu 1982).
In general the effects of herbicide treatment were more severe on Pa than
on biomass (B); however, the pattern was similar in both cases. The ratio
Pa/3 provides a measurement of normalized plant growth or turnovr rate. In our
study this ratio decreased with time in control microcosms, perhaps indicating a
decrease in new growth. With herbicide treatment the ratio Pa/B exhibited a
similar (but less pronounced) trend to that for either Pa or B separately.
Photosynthetic Recovery
In the above discussion we have used an operational definition of herbicide
effect as the mean loss of Pa compared to vehicle controls over a 5 wk treatment
period. However, we noted earlier that recovery of Pa was evident for all
4 herbicide/plant combinations at concentrations ^ 100 ppb. In the case of
atrazine this recovery occurred even in the face of relatively constant aqueous
concentrations external to the plant tissue. Thus, Integrated over an entire
III- 32
-------
J
Table 8. Summary of dose-response relations for herbicide treatment of submerged vascular
plants.
Herbicide
Atrazine
Linuron
Combined
Plant
P. perfoliatus
M. spicatum
P. perfoliatus
M. spicatum
Combined
Apparent Photosynthesis (Pa)*#
r?
0.95
0.99
1.00
0.94
0.93
',.0 '50
4 55
11 117
2 45
8 80
5 72
Final
r2
0.96
0.53
0.95
0.93
0.72
Biomass
'1.0
1
3
1
16
3
(B)*
'50
30
91
25
137
61
'Based on linear regression of P* and B(express as % of vehicle controls) versus log
nerbicide concentration, with r" for least-square fit line and Ij g and I5Q being herbi-
ci,,e concentration (ppb) associated with 1% and 50% inhibition, respectively.
#Mean values of Pa taken for the first A post-treatment weeks.
111-33
-------
4 mo growing season, the effects might tend to be mitigated by regrowth. On
the other hand, experiments using short-term (ca. 2 h) exposures of submerged
plants to atrazine followed by sequential washes with herbicide-free water,
revealed that complete photosynthetic recovery was not apparent for 1-2 d
(Jones et al. 1982b). Whereas the former mode of recovery appears to involve
some sort of enzymatic detoxification within the plant, the latter results
simply from release of previously cell-bound atrazine. It seems that brief
exposures to atrazine of about 1 h may result in some photosynthetic inhibi-
tion for 1-2 d, while loss of Pa from extended (1-5 wk) bathing in herbicide
concentrations may be molified within a week. Che consequence of this
"buffering" effect is that both short and long-term dose-response experiments
yield similar results in terms of 150 and other measures of inhibition (c.f.
Jones et al. 1982b).
Field Concentrations of Herbicides and Their Effects
At the outset of this study the information on herbicide concentrations in
Chesapeake Bay was sparse, although the few existing data suggested that con-
centrations in shallow coves could approach 10 ppb (Correll et al. 1978).
Recently, Stevenson et al. (1983) have reported the results of an extensive survey
of atrazine and linuron concentrations in various regions of Chesapeake Bay
during the spring/summer seasons of 1980 and 1981. In this study herbicide con-
centrations (atrazine and linuron) were measured in water, suspended material
and sediments at 23 littoral zon3 stations in the main bay area; at 8-10 stations
along the salinity gradient of a major tributary (Choptank River); and at 4-5
stations along a runoff creek draining agricultural fields adjacent to the Choptank.
Bay-wide samples were taken bi-monthly from April-September, Choptank samples were
taken monthly during the same period and drainage from agricultural fields was
monitored prior to, during and for 12-24 h following runoff events. Precipitation
patterns in 1980 were similar to the ten-year (1970-80) average, while 1981
was characterized by Intense rainfall in early May, with light sporadic precipi-
tation in June and July (Kemp et al. 1982).
Tie ranges of atrazine and linuron concentrations observed in this survey
are summarized in Table 9. A transect down the main axis of the estuary revealed
that concentrations of either compound rarely exceeded 1 ppb, with highest values
in the brackish reaches. A similar transect along the main salinity gradient
of a major tributary (Choptank River/estuary), Indicated concentrations 1n 1980
similar to those 1n the open bay, while 1n 1981 maximum values were 9.3 and
3.0 ppb, respectively, for atrazine and linuron. The high atrazine concentra-
tion was actually from a freshwater station just above the head of tide. In a
creek and small estuarine cove connected to the Choptank and receiving direct
agricultural runoff, peak concentrations approached 50 ppb atrazine and 20 ppb
linuron, with highest values occurring during the May 1981 runoff events.
Generally, concentrations 1n May were on the order of 1-5 ppb, and those > 10 ppb
existed for only 2-8 h, being rapidly dissipated by dilution, adsorption and
degradation. These concentrations are similar to those reported elsewhere for
these coastal plain estuaries (Newby et al. 1978; Correll et al. 1978; Wu
1980; Zahnow and Riggleman 1980; Hershner et al. 1982).
Using these herbicide data, a relatively extreme runoff scenario can be
111-34
-------
Table 9. Summary of ranges of atrazine and linuron concentrations observed in
water from Chesapeake Bay and'its primary and secondary tributaries.*
1.
2.
3.
SAMPLING
LOCATION
Horn Point
(Runoff Creek
and Cove)
Choptank Estuary
•Monthly Survey
Runoff Event
Chesapeake Bay
SAMPLING
PERIOD
May-Jul 1980
May 1981
May-Jul 1980
May 1981
Apr-Sep 1980
CONCENTRATION
ATRAZINE
0.1-18.3
0.7-46.0
0.0- 0.8
0.2- 9.3
0.0- 1.2
RANGE (ppb)
LINURON
0.0- 2.6
0.4-18.3
0.1- 1.2
0.3- 3.0
0.0- 1.3
*Data summarized from Stevenson et aT. (T983).
111-35
-------
I!
developed for submerged vascular plants growing 1n small coves and the overall
effects of resulting herbicide concentrations on plant production can then be
estimated using Fig. 14 and Table 8. In a wet spring such as that of 1981, we
might find 2 major runoff events occurring in May spaced 2 wk apart and generating
peak atrazine concentrations of 50 and 20 ppb, respectively, which last about
6 h, followed by baseline concentrations of 1-5 ppb until July. A subsequent
runoff event in July (after the planting of a second grain crop) might result
in peak linuron concentrations of 10 ppb for 6 h followed by 1-3 ppb for the
remainder of the month. Such environmental conditions could be expected to
result in the following sequence of Pa inhibition: May -- 50% loss of Pa
for 2 d, 5% loss for 12 d, 30% loss for 2 d, 5% loss for 15 d; June — 1% loss
for 30 d; July -- 25% loss for 3d, 5% loss for 28 d. Integrated over the
entire 3 mo period, this would amount to a mean of 6% inhibition of Pa using
a simplistic additive approach.
It is of interest to note that two recent papers investigating atrazine
effects on submerged plant growth (Forney and Davis 1981; Correll and Wu 1982)
reached what appear to be opposite conclusions concerning the possible threat
posed by this herbicide for submerged plant populations in Chesapeake Bay.
Whereas Forney and Davis (1981) stated that it is unlikely that atrazine "caused
the die-off of plants in Chesapeake Bay," Correll and Wu (1982) suggested that
"there is every reason to be concerned that herbicides such as atrazine may be
seriously impacting submersed vascular plant populations in estuaries." Despite
the apparent difference in these two conclusions the experimental results from
these two studies are, as we discussed previously, similar. However, these two
statements may not be as contradictory as they seem.
The data and analyses which we have provided here indicate that 1-10% loss
of submerged plant production might occur in certain estuarine regions as a result
of runoff of herbicides such as atrazine and linuron over the ccurse of a growing
season. Since these plant populations are stressed generally by reduced light and
other perturbations (Kemp et al. 1982), such an herbicide-induced loss of pro-
duction could add to the adversity of their environment, and therefore, the posi-
tion of Correll and Wu (1982) would not be unreasonable. When these plants are
existing at the margins of their adaptability range, small incremental stresses
can undermine reproductive viability by shifting the physiological energy
balance from net positive to negative. However, as Indicated by Forney and
Davis (1981), it is difficult to conclude from the results of this and other
studies that herbicides, per se, caused the decline in Chesapeake Bay's
submerged plants. Further studies examining the short and long-term effects of
herbicide stress on SAV reproduction may be warrented to resolve this issue.
111-36
-------
r
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28:12^-131.
30. Ries, S.K. 1976. Subtoxic effects on plants, p. 313-344. In L.J. Audus
(ed.) Herbicides, physiology, biochemistry, ecology, vol ,~7. Academic
Press, London.
31. Stevenson, J.C. and N.M. Confer. 1978. Summary of available information on
Chesapeake Bay submerged vegetation. US Dept. Inter. FWS/OBS-78/66.
NTIS, Springfield, VA. 333 pp.
32. Stevenson, J.C., W.R. Boynton, J.C. Means, W.M. Kemp, and R.R. Twilley.
1983. Concentrations of the herbicides, atrazine and linuron, in agricul-
tural drainage, tributary estuaries and littoral zones of upper Chesapeake
Bay. Report to US EPA, Annapolis, MD.
33. Streibig, J.C. Models for curve-fitting herbicides dose response data.
Acta Agric. Scandinav. 30:59-64.
34. Strickland, J.D.H. and T.R. Parsons. 1972. A Practical Handbook of Sea-
water Analysis. Fish. Res. Bd., Canada Bull. 167. Ottawa. 310 pp.
35, Sutton, D.L., D.A. Durham, S.W. Bingham, C.L. Foy. 1969. Influence of sim-
azine on apparent photosynthesis of aquatic plants and herbicide residue
re-noval from water. Weed. Sci. 17:56-59.
36. Vallentine, J.P. and S.W. Bingham. 1976. Influence of algae on amitrole
and atrzine residues in water. J. Can. Bot. 54:2100-2107.
37. Walsh, G.E. 1972. Effect of herbicides on photosynthesis and growth of
marine unicellular algae. Hyacinth. Contr. J. 10:45-48.
38. Walsh, G.P., D.L. Hansen and D.A. Lawrence. 1982. A flow-through system
for exposure of seagrass to pollutants. Mar. Environ. Res. 7:1-11.
111-39
-------
39. Wu, T.L. 1980. Dissipation of the herbicides atrazine and alachlor in a
Maryland Cornfield. J. Environ. Qual. 9:459-465.
40. Zahnow, E.W. and J.D. Riggleman. 1980. Search for linuron residues in
tributaries of the Chesapeake Bay.J. Agric. Food Chem. 28:974-978.
111-40
-------
APPENDIX
111-41
-------
lAJlLt 1A MSPONSC OF AM-AKtNT f MOTOSTN1HESIS Of PU1AMOGETO* TO ATKAZJNt
CONClNThATlUNMr.F.fi. ). 1979 EXPt M«t NT?
UNITS AK£ BhAHS OxrUlN UK CUBIC MlltH Hk HUIJK
. TREATMENT
.CONTROL
.CONTROL
.CONTROL
.CONTROL
. flEAN
. ERROR
. VEH-CONTROL
.WEH-CONTROL
.UEH-CONTROL
•.UEH-CONTROL
. MEAN
. ERROR
.ATRHZINE 5
.ATRAZINE 3
.ATRAZINE S
.ATRAZINE S
. MEAN
. CRROft
.ATRAZINE SO
.ATRAZINE 30
.ATRAZINE 30
.ATRAZINE 30
. MEAN
. ERROR
IATRAZINE too
.ATRAZINE 100
.ATRAZINE 100
.ATRAZINE 100
. MEAN
. ERROR
.ATRAZINE 300
.ATRAZINE 300
.ATRAZINE 300
.ATRAZINE 500
•
. MEAN
. ERROR
.ATRAZINE 1000
.ATRAZINE 1000
.ATRAZINE 1000
.ATRAZINE 1000
. MEAN
. ERROR
.
1ANK.
11 .
11 .
22 .
22
.
•
If .
19 .
20 .
20 .
.
•
12 .
12 .
13 .
13 .
.
•
3 .
3 .
24 .
24 .
^
•
13 .
13 .
27 .
27 .
t
•
16 .
14 .
26 .
26 .
.
•
S .
3 .
10 .
10 .
.
•
j
.1*6
.244
.371
.428
.310
.107
.267
.293
.144
.233
.239
.064
.IBS
.246
.145
.187
.171
.041
.131
.229
.167
.242
.192
.032
.206
.216
.194
.282
.224
.039
.272
.392
.739
.083
.372
.273
.179
.233
.196
.287
.209
.030
4
.163
.173
.390
.319
.262
.111
.142
.119
.239
,19»
.180
.063
.203
.103
.143
.164
.133
.042
.130
.130
.297
.233
.197
.082
.092
.119
.206
.187
.131
.034
.270
.200
.201
.109
.193
.066
.130
.207
.187
.130
.184
.038
S
.396
.392
.303
.336
.357
.045
.307
.313
.338
.380
.339
.033
.270
.239
.279
.316
.276
.032
.303
.292
.357
.368
.430
.133
.297
.298
.297
.293
.297
.001
.313
.288
.440
.423
.366
.077
.230
.373
.258
.312
.301
.030
6
.404
.283
.260
.249
.299
.071
.247
.181
.429
.363
.305
.112
.322
.239
.433
.231
.316
.098
.307
.197
.543
.306
188
44
. .64
.049
.410
.221
.211
.191
.260
.218
.339
.338
.294
.066
.371
.196
.375
.236
.289
.083
uti •
7
.352
.391
.264
.372
.445
.162
.368
.346
.381
.641
.334
.117
.396
.404
.437
.426
.416
.019
.313
.483
.623
.639
.313
.131
.129
.171
.380
.431
.278
.ISO
.440
.338
.391
.364
.488
.086
.322
.303
.418
.483
.470
.041
B
.603
.643
.653
.701
.630
.040
.480
.539
.530
.393
.336
.047
.433
.331
.491
.345
.305
.042
• .221
.342
.235
.339
.284
.063
-.033
.043
-.032
-72
•>B
0
-.335
-.133
-.401
-.233
-.283
.107
-.191
-.107
-.323
-.164
-.183
.101
9
.416
.548
.?97
.514
.329
.039
.239
.237
.375
.333
.301
.064
.173
.142
.202
.111
.137
.040
-.143
-.077
-.017
-.039
-.069
.036
-.372
-.499
-.303
-.189
-.341
.130
-.593
-.491
-.494
-.489
-.317
.031
-.326
-.333
-.420
-.449
-.397
.068
10
.327
.333
.393
.369
.356
.031
.400
.593
.316
.361
.567
.038
.486
.346
.285
.348
.416
.121
.293
.313
.306
.314
.307
.010
.004
.081
.075
.105
.066
.043
-.342
-.298
-.335
-.395
-.347
.040
-.237
-.223
-.403
-.299
-.274
.069
li
.511
.341
.315
.629
.349
.035
.680
.737
.499
.325
.610
.116
.365
.618
.408
.449
.310
.098
.339
.346
.331
.348
.341
.008
.123
.138
.105
.173
.140
.031
-.218
-.155
-.212
-.208
-.198
.029
-.170
-.115
-.203
-.ISO
-.139
.031
111-42
-------
TAbll Ifc kFSFONSE OF KLSMkAUUN OF F UIAMOOE TC1N TO ATkA/INC CONCtNTKAT UJNi
(P.Kb.>. 197V EXf CRIMf Nl .
UNITS ARE GKAflB OXYWN F•t^ (.u^M, METEk' Mk HQUk.
.
. TkiAlfltNT
.CONTROL
.CONTROL
.CONTROL
.CONTROL
. MEAN
. ERROR
.UEH-CONTROL
.VEH-CONTKOL
.VEH-CONTROL
.UEH-CONTROL
. HE AN
. ERROR
.ATRAZINE 5
.ATRAZINE 5
.ATRAZINE S
.ATRAZINE S
. HEAN
. ERROR
IATRAZINE so
.ATRAZINE SO
.ATRAZINE SO
.ATRAZINE SO
. HE AN
. ERROR
.ATRAZINE 100
.ATRAZINE 100
.ATRAZINE 100
.ATRAZINE 100
. HE AN
. ERROR
! ATRAZINE 300
.ATRAZINE 500
.ATRAZINE 500
.ATRAZINE 500
. MEAN
. ERROR
.ATRAZINE 1000
.ATRAZINE 1000
.ATRAZINE 1000
.ATRAZINE 1000
. MEAN
. ERROR
.
TANK.
11 .
11 .
22 .
22 .
.
•
19 .
19 .
20 .
20 .
t
•
12 .
12 .
13 .
13 .
t
•
3 .
3 .
24 .
24 .
,
•
13 .
13 .
27 .
27 .
%
•
16 .
16 .
26 .
26 .
.
•
5 .
S .
10 .
10 .
,
'
i
-.244
-.287
-.340
-.419
-.322
.075
-.375
-.406
-.206
-.265
-.313
.094
-.298
-.331
-.234
-.27?
-.284
.041
-.218
-.268
-.311
-.342
-.285
.054
-.277
-.294
-.264
-.343 -
-.294
.033
-.317
-.381
-.821
-.282
T.450
.231
-.207
-.261
-.336
-.371
-.*89
.058
4
-.273
-.271
-.400
-.375
-.330
.067
-.349
-.300
-.316
-.282
-.312
.028
-.384
-.321
-.288
-.286
-.320
.046
-.238
-.242
-.396
-.347
-.311
.073
-.214
-.224
-.330
-.313
-.275
.047
-.349
-.297
-.403
-.484
-.348
.057
-.230
-.255
-.342
-.303
-.302
.049
^
-.349
-.376
-.318
-.373
-.339
.027
-.403
-.407
-.341
-.370
-.380
.031
-.364
-.371
-.325
-.347
-.357
.021
-.332
-.333
-.508
-.549
-.431
.114
-.303
•-.313
-.349
-.371
-.334
.032
-.345
-.347
-.432
-.479
-.406
.041
-.282
-.375
-.397
r.402
-.377
.048
4,
-.382
-.331
-.340
-,321
-.343
.027
-.311
-.293
-.402
-.375
-.346
.051
-.377
-.366
-.451
-.319
-.378
.055
-.306
-.249
-.575
-.543
-.418
.165
-.133
-.088
-.406
-.317
-.241
.146
-.319
-.283
-.497
-.489
-.397
.112
-.357
-.267
-.421
-.384
-.334
.069
UtLK
T
-.361
-.443
-.401
-.492
-.424
.034
-.463
-.344
-.438
-.493
-.490
.040
-.408
-.418
-.430
-.419
-.419
.009
-.348
-.316
-.586
-.611
-.465
.155
-.141
-.179
-.386
--.401 -
-.282
.129
-.473
-.475
-.487
-.576
-.303
.049
-.461
-.472
-.464
-.496
-.436
.030
•a
-.677
-.677
-.774
-.774
-.725
.056
-.713
-.713
-.674
-.674
-.693
.023
-.703
-.703
-.620
-.620
-.661
.048
-.584
-.584
-.707
-.707
-.645
.071
-.463
-.463
-.485
-.485
-.474
.013
-.550
-.550
-.527
-.327
-.538
.013
-.311
-.309
-.531
-.531
-.520
.183
Cj
-.339
-.360
-.647
-.332
-.374
.049
-.740
-.724
-.668
-.710
-.710
.031
'.643
-.682
-.387
-.363
-.619
.054
-.612
-.503
-.548
-.611
-.368
.053
-.454
-.536
-.542
-.728
-.565
.116
-.476
-.523
-.476
-.513
-.497
.025
-.327
-.346
-.374
-.425
-.379
.049
PO
-.303
-.527
-.632
-.641
-.376
.071
-.627
-.642
-.584
-.619
~.AtB
.025
-.392
-.595
-.403
-.503
-.523
.091
-.411
-.430
-.389
-.393
-.506
.099
-.154
-.204
-.405
-.392 —
-.289
.128
-.330
-.326
-.493
-.494
-.416
.091
-.196
-.223
-.293
-.263
-.235
.038
t
1!
-.377
-.633
-.674
-.694
-.644
.032
-.721 !
-.749
-.376
-.393
-.445
.095
-.613 !
-.641
-.446
-.521
-.560
.081
-.437
-.457
-.794
-.800
-.422
.203
-.205 !
-.194
-.488
-.474
-.340
.143
-.189 I
-.235
-.374
-.379
-.294
.097
-.143 !
-.132
-.144
-.143 .
-.144 .
.007
111-43
-------
TABLE 1C KfStONSC OF GROSS fHOIUSTNTHtSIS Of F'OIAMOGETON TO ATKAZJW
CONCLNTf>ATlONSU'.l .*. ) . 1171 EXfEhlHFNT.
UNITS ARC OkAMS OXYGEN F'Ef. CUt^lC METEk UK HOUR.
. TRLATnENI
.CONTROL
.CONTKOL
.CONTROL
.CONTKOL
. MEAN
. ERROR
.VEH-CONTROL
.VEH-CDNTKOL
.WEH-CONTRQL
. VEH-CONTROL
. MEAN
. ERROR
.ATRAZINE 3
.ATRAZINE S
.ATRAZINE S
.ATRAZINE S
. HE AN
. ERROR
.ATRAZINE 30
.ATKAZINE 30
.ATRAZINE 30
.ATRAZINE 30
. MEAN
. ERROR
TANK.
11 .
11 .
22 .
22 .
.
•
IV .
19 .
20 .
20 .
t
•
12 .
12 .
13 .
13 .
t
•
3 .
3 .
24 .
24 .
(
.
4
.140
.646
.84?
j.ois
.76:
.211
.79?
.842
.433
.624
.478
.191
.405
.709
.473
.567
.588
.098
.436
.404
.602
.721
.391
.117
4
.sso
.552
.950
.643
.724
.204
.630
.536
.701
.595
.616
.068
.740
.332
.546
.563
.600
.093
.492
.468
.852
.718
.632
.185
e>
.912
.918
.748
.861
.860
.079
.872
.683
.835
.898
.872
.027
.780
.738
. .734
.829
.J73
.040
.769
.761
1.269
1.336
1.034
.312
fe
.937
.746
.736
.699
.780
.107
.683
.595
.992
.887
.789
.182
.851
.731
1. 085
.697
.846
.172
.736
.346
1.349
1.267
.974
.394
UF.EK
-f
.858
1.211
.826
1.261
1.039
.229
1.017
1.306
1.222
1.333
1.220
.143
.967
.990
1.039
1.012
1.002
.031
.802
.923
1.443
1.494
1.166
.334
ft
1.512
1.391
1.736
1.784
1.666
.112
1.478
1.337
1.473
1.338
1.306
.036
1.438
1.316
1.360
1.414
1.432
.063
1.036
1.139
1.224
1.328
1.187
.121
4
1.210
1.333
1.503
1.288
1.333
.124
1.295
1.250
1.310
1.327
1.-J93
.033
1.073
1.097
1.023
.899
1.023
.089
.712
.427
.730
.817
.726
.079
10
1.232
1.273
1.477
1.467
1.362
.128
1.479
1.491
1.334
1.429
1.433
.071
1.313
1.379
.630
1.031
1.149
.243
.8*9
.918
1.130
1.143
1.013
.142
II
1.316
1.426
1.438
1.600
1.430
.116
1.690
1.813
1.306
1.355
1.541
.249
1.422
1.313
1.041
1.176
1.294
.211
.930
.985
1.444
1.468
1.212
.283
.ATRAZINE
.ATRAZINE
.ATRAZINE
.ATRAZINE
. MEAN
. ERROR
'.ATRAZINE
.ATRAZINE
.ATRAZINE
.ATRAZINE
•
. MEAN
. ERROR
.ATRAZINE
.ATRAZINE
.ATRAZINE
.ATRAZINE
'. MEAN
. ERROR
•
100
100
100
100
300
300
300
300
1000
1000
1000
1000
13
13
27
27
16
16
26
24
3
3
10
10
. .593
. .628
. .363
. .762
. .434
. .088
. .716
. .926
. 1.888
. .481
. 1.003
. .418
. .469
. .619
. .667
. .807
. .613
. .117
.392
.432
.696
.624
.336
.147
.738
.613
.743
.703
.710
.049
.452
.363
.666
.374
.406
.093
.721
.737
.786
.814
.744
.043
.824
.773
1.043
1.094
.934
.139
.444
.899
.813
.873
.828
.100
.379
.172
.978
.443
.348
.330
.704
.414
1.033
1.023
.830
.222
.871
.370
.943
.794
.737
.171
.334
.421
.919
.992
.471
.330
1.102
1.222
1.073
1.370
1.192
.135
1.168
1.164
1.068
1.180
1.109
.072
.393
.492
.447
.731
.471
.044
.433
.418
.338
.485
.449
.117
.243
.323
.420
.379
.344
.270
.243
.231
.454
.830
.430
.270
.073
.240
.173
.230
.179
.077
.131
.149
.103
.144
.134
.017
.219
.347
.442
.433
.470
.213
.148
.138
.337
.294
.233
.094
.037
.092
.010
.049
.034
.034
.412
.429
.788
.834
.414
.227
.044
.174
.312
.322
.213
.131
.031
.049
-.004
.030
.042
.028
111-44
-------
TAU.E !!• kCSMIN'jL Of !-!> (-aim II' I OIAHOM TUN 10 AT(.«?INC CONCl NTMT lONi
. HOU*.
THATHLNT
TANK.
UCEK
.CU4UOL
.CONTKOL
It
II
22
19
19
30
20
.CONTROL
. nt AM
. CkROh
.VCH-CnNTROL
.UCM-CON1ROI
.vrri-CONTROL
.VEM-CQNIROL
. fit AN
. ERROR
.AT(M2iNE 9 11
.nrftAtriNC 9 i;
.AIR4ZINE 9 13
.ATRAZINE 9 13
. HE AN
. ERROR
.'ATRAZINE 90 3
.ATRAZINC SO 3
.ATRAZINE SO 24
.ATRAZINC SO 24
. flEAN
. ERROR
.ATRAZINE 100 IS
.ATRAZINE 100 IS
.ATRAZINE 100 27
.ATRAZINC 100 27
'. ERROR
•
.ATRAZINC SOO 14
.ATRAZINE SOO 16
.ATRAZINC SOO 26
.ATRAZINC SOO 24
. MEAN
. ERROR
.811
.RIO
1.091
1.021
.943
.134
.712
.711
.499
.939
.772
.122
.&OO
.638
.975
.851
.744
.178
.407
.397
.fl?0
.70U
.582
.214
1.073
1.043
.953
.906
.994
.078
.742
.749
1.050
1.027
.902
.158
LOSS
.ess
.741
.776
.643
.134
.794
.414
1.047
.948
.841
.199
.975
1.334
.428
1.143
1.03?
.290
.79S
1.004
1.749
1.299
1.091
.237
,891
,990
.844
.904
.898
.044
.473
.794
.784
.883
.774
.087
.841
.979
.923
.931
.9?0
,osr
.350
.327
.941
.449
.427
.109
1.048
1 .019
.938
.eee
.972
.073
.997
.924
.884
.904
.918
.031
. BUA
.855
.744
.904
.853
.043
.943
.998
.844
.889
.913
.944
. .431
. .743
. .420
. .488
. .470
. .097
.401
. .894
. .537
. .708
. .479
. .139
. .744
. .739
. .733
. .822
. .799
. .042
. .838
. 1.029
. .900
, .301
, .772
, .322
.529
.321
.497
.373
.480
.110
.904
.937
.730
.471
.419
.119
.430
.931
.989
.397
.337
.077
.774
.473
.499
.237
.331
.224
.742
.444
.858
.841
.774
.104
.919
.872
1.094
1.039
.980
.103
.980
.932
.831
.793
.894
.084
.898
.830
1.019
.883
.897
.084
.894
.493
1.004
.787
.824
.144
1.003
.791
.944
.932
.917
.090
1.072
.337
1.010
.497
.834
.247
.813
.770
.722
.491
.749
.034
.971
.947
1.014
1.017
.993
.027
.90S
1.328
1.043
1.044
1.145
.271
.801
.933
.984
1.07S
.934
.114
.930
1.179
.803
.979
.972
.134
.444
.739
.792
.879
.747
.097
.378
.584
.332
.479
.444
.113
-.114
.097
-.044
.148
.014
.124
-.409
-.278
-.741
-.480
-.532
.203
.272
.208
.344
.197
.293
.048
-.237
-.133
-.031
-.044
-.121
.093
-.819
-.931
-.339
-.240
-.442
.299
-1.244
-.939
-1.038
-.933
-1.044
.142
.821
.918
.707
.492
.784
.104
.713
.733
.320
.330
.424
.113
.024
.397
.189
.248
.219
.199
-.977
-.914
-.717
-.800
-.832
.114
.922
.944
.874
.842
.904
.044
.774
.737
.414
.439
.394
.197
.410
.814
.213
.349
.301
.243
-1.193
-.440
-.547
-.349
-.732
.283
.ATRAZINC 1000
.ATRAZINE 1000
.ATRAZINE 1000
.ATRAZINE 1000
. MEAN
. ERROR
3 . .843 .943 .887 1.039 1.132
3 . .949 .812 1.000 .734 1.044
10 . .983 .947 .490 .891 .901
10 . .774 .495 .774 .447 .978
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.30° -1.094 -1.137 -1.049
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.142
.414
.114
.804
.128
.837
.133
1.032
.081
.383 -1.042 -1.142 -1.103
.204 .099 .143 .198
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TAULf 4A fcCSf-OWSf Of AWAMNT PHOTOSrWTHfSIS Or KlIanlllJClON 10 LINIIKON
CONCENTKflrIDNSlC.f .b.). 1 9BO fXfEK1MENI.
UNITS ARC GRAMS OXYGEN FTK CU&IC ME UK PER MOUIi.
...
... .
. TREATMENT
! CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
. HEAN
. ERROR
.VEH-CONTROL
.VEH-CONTROL
.VEH-CONTROL
.VEH-CONTROL
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. HEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
I LINURON
.LINURON
.LINURON
.LINURON
. HEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. HEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
S
3
S
S
50
50
30
SO
100
100
100
100
300
500
300
500
1000
1000
1000
1000
'
TANK.
IV .
IV .
6 .
6 .
IS .
IS .
26 .
26 .
.
•
22 .
22 .
24 .
24 .
,
•
17 .
17 .
IB .
IB .
t
•
1 .
1 .
4 .
4 .
t
•
a .
8 .
21 .
21 .
9
'
2 .
2 .
7 .
7 .
t
•
13 .
13 .
20 .
20 .
t
*
3
.183
.169
.212
.164
.112
.092
.176
.161
.13V
.03V
.31V
.314
.266
.237
.28V
.032
.225
.218
.236
.240
.230
.010
.237
.241
.233
.163
.218
.037
.330
.292
.198
.137
.239
.088
.180
.146
.309
.296
.233
.082
.170
.172
.183
.149
.168
.014
4
.027
.013
.08V
.093
.030
.039
.024
-.037
.033
.042
.047
.047
.12V
.134
.08V
.04V
.003
.016
.087
.072
.044
.041
.043
.143
.035
.043
.066
.052
.105
.128
.063
.080
.094
.028
.037
.047
.031
.083
.054
.020
.039
.004
.074
.086
.051
.037
S
.260
.237
.191
.238
.134
.136
.234
.233
.213
.043
.282
.283
.340
.308
.304
.027
.189
.170
.235
.266
.215
.044
.189
.22V
.127
.122
.167
.051
.166
.208
.247
.213
.208
.033
.132
.153
.192
.243
.183
.043
.076
.085
.293
.236
.178
.113
fe
.140
.163
.260
.290
.123
.161
.377
.413
.244
.110
.324
.336
.411
.418
.372
.04V
.212
.201
.273
.330
.234
.060
.183
.187
.232
.242
.211
.030
.233
.271
.173
.224
.226
.040
.154
.168
.259
.267
.212
.039
.139
.187
.320
.318
.246
.083
UEEK
7
.173
.081
.243
.179
.223
.163
.428
.420
.239
.124
.299
.072
.348
.134
.216
.128
.104
.037
.213
.134
.122
.073
-.042
-.123
-.096
-.182
-.111
.038
-.189
-.235
-.213
-.314
-.243
.035
-.187
-.243
-.246
-.379
-.264
.081
-.358
-.175
-.375
-.206
-.278
.103
8
.210
avv
.301
.2VS
.227
.293
.602
.607
.342
.167
.246
.371
.247
.377
.310
.074
-.143
-.003
.316
.360
.132
.246
-.136
.012
-.205
-.032
-.090
.099
-.273
-.110
-.324
-.099
-.201
.114
-.217
-.166
-.370
-.235
-.252
.086
-.389
-.369
-.238
-.237
-.313
.077
9
.226
.238
.348
.333
.293
.307
.392
.606
.371
.146
.437
.473
.440
.441
.433
.016
.318
.347
.438
.443
.386
.064
.196
.198
.120
.147
.163
.038
.098
.113
.014
.066
.073
.044
-.137
-.146
-.135
-.141
-.143
.008
-.283
-.306
-.191
-.202
-.246
.038
-------
TAfcLE 4k RESfONSC Of M. 6MI.AT ION Or PDTAMOGCON TO IINUKUN CflNCtNTKATlONS
(P.P.b.). 1VUO EXKtMMLNl
UNITS AKC OK«rlS OXTGLN ItK CUB'C Mt.TEK I£K HOUK.
t
(
. TKIATMCNT
.CONTROL
.CONTROL
.CONTROL
.CONTKOL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
. HE AN
. ERROR
luEH-CONTROL
.WEH-CONTROL
.UEH-CON1ROL
.VEH-CONTROL
. HEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. HEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. HEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
.LINURUN
.LINURON
.LINURON
.LINURON
'. HEAN
. ERROR
! LINURON
.LINURON
.LINURON
.LINURON
! HEAN
. ERROR
5
5
3
5
SO
SO
so
so
100
100
100
100
500
500
500
500
1000
1000
1000
1000
TANK.
19 .
19 .
6 .
6 .
IS .
IS .
26 .
26 .
t
•
22 .
22 .
24 .
24 .
^
•
17 .
17 .
18 .
IB .
.
•
1 .
1 .
4 .
4 .
.
•
8 .
a .
21 .
21 .
.
•
2 .
2 .
7 .
7 .
t
•
13 .
13 .
20 .
20 .
,
*
3
-.313
-.290
-.249
-.227
-.201
-.193
-.404
-.390
-.283
.081
-.352
-.354
-.337
-.350
-.353
.003
-.287
-.260
-.348
-.331
-.306
.040
-.112
-.336
-.301
-.235
-.296
.043
-.248
-.232
-.256
-.230
-.241
.013
-.242
-.218
-.332
-.313
-.276
.055
-.317
-.317
-.319
-.307
-.315
.005
A
-.331
-.309
-.240
-.205
-.214
-.165
-.472
-.446
-.298
.113
-.308
-.320
-.360
-.355
-.336
.026
-.309
-.290
-.321
-.307
-.307
.013
-.245
-.317
-.287
-.262
-.278
.031
-.250
-.234
-.232
-.221
-.239
.015
-.188
-.172
-.314
-.280
-.238
.069
-.372
-.208
-.326
-.307
-.303
.069
"5
-.366
-.374
-.275
-.282
-.224
-.226
-.508
-.522
-.347
.118
-.400
-.410
-.426
-.433
-.417
.013
-.330
-.330
-.358
-.354
-.343
.015
-.32C
-.334
-.253
-.246
-.290
.047
-.262
-.258
-.291
-.280
-.273
.015
-.214
-.235
-.322
-.325
-.274
.038
-.335
-.306
-.333
-.353
-.338
.023
If
-.322
-.347
-.279
-.308
-.205
-.219
-.496
-.522
-.337
.117
-.403
-.459
-.429
-.464
-.439
.026
-.330
-.360
-.390
-.443
-.381
.048
-.296
-.336
-.285
-.303
-.305
.022
-.260
-.306
-.268
-.281
-.279
.020
-.207
-.230
-.317
-.330
-.271
.062
-.297
-.299
-.339
-.395
-.332
.046
UEEK.
T
-.435
-.444
-.346
-.377
-.242
-.279
-.689
-.565
-.425
.145
-.661
-.752
-.594
-.683
-.672
.065
-.447
-.557
-.616
-.611
-.538
.079
-.348
-.387
-.309
-.378
-.355
.035
-.316
-.393
-.430
-.399
-.385
.049
-.252
-.218
-.371
-.362
-.301
.077
-.522
-.522
-.451
-.451
-.486
.041
e
-.385
-.297
-.331
-.247
-.247
-.206
-.526
-.460
-.337
.112
-.551
-.483
-.454
-.379
-.467
.071
-.570
-.376
-.452
-.410
-.452
.085
-.248
-.218
-.377
-.187
-.257
.083
-.372
-.235
-.314
-.237
-.294
.061
-.187
-.163
-.260
-.232
-.211
.044
-.376
-.337
-.261
-.2 4
-.297
.073
9
-.377
-.355
-.332
-.298
-.270
-.253
-.556
-.539
-.372
.116
-.544
-.520
-.423
-.417
-.476
.065
-.346
-.346
-.500
-.483
-.419
.085
-.300
-.290
-.244
-.231
-.266
.034
-.223
-.212
-.231
-.253
-.233
.020
-.168
-.139
-.176
-.143
-.162
.013
-.314
-.308
-.208
-.193
-.236
.063
10
-.308
-.323
-.291
-.313
-.264
-.278
-.369
-.563
-.364
.126
-.486
-.499
-.408
-.427
-.455
.044
-.263
-.J07
-.454
-.480
-.376
.107
-.274
-.290
-.268
-.282
-.276
.010
-.217
-.246
-.298
-.315
-.269
.045
-.111
-.133
-.180
-.203
-.137
.042
-.269
-.281
-.173
-.189
-.228
.033
II
-.356
-.351
-.339
-.342
-.294
-.279
-.571
-.581
-.389
.119
-.486
-.479
-.415
-.393
-.443
.046
-.368
-.367
-.478
-.493
-.427
.069
-.350
-.344
-.336
-.294
-.331
.0-3
-.221
-.223
-.296
-.283
-.237
.039
-.103
-.101
-.207
-.177
-.147
.033
-.248
-.237
-.204
-.191
-.223
.032
111-50
-------
ti?
TA&LE 4C RESPONSE OF OROSS PHOTOSYNTHESIS Of POTAMUC.E TUN TO UNUNUN
CONCENTkATIONS(P.F>.k. > . ]?HO EXPERIMENT.
UNITS AKE GKAMS OXYGEN F'CK CUBIC METER ftK HOUK.
•It If,
TKEAJMENT
TANf,.
.CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
. HE AN
. ERROR
.VEH-CONTROL
.VEH-CONTROL
.WEH-CONTROL
.WEH-CONTROL
. MEAN
. ERROR
.LINURON
.LINURDN
.LINURON
.LINURON
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
•
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
S
s
3
3
30
30
30
30
100
100
100
100
300
300
300
300
1000
1000
1000
1000
19 .
19 .
6 .
6 .
IS .
13 .
24 .
26 .
.
•
22 .
22 .
24 .
24 .
.
•
17 .
17 .
IB .
18 .
t
•
1 .
1 .
4 .
4 .
•
•
S .
8 .
21 .
21 .
t
•
2 .
2 .
7 .
7 .
9
•
13 .
13 .
20 .
20 .
.
•
.622
.571
.561
.4e:
.393
.362
.742
.707
.335
.237
.812
.809
.763
.747
.783
.03?
.626
.381
.723
.703
.638
.066
.674
.711
.634
492
.633
.097
.677
.617
.337
.460
.378
.093
.318
.432
.774
.733
.619
.138
.614
.617
.630
.378
.610
.022
,4v:
.447
.423
.382
.330
.270
.686
.588
.43?
.133
.479
.496
.634
.630
.360
.084
.436
.421
.336
.302
.474
.034
.387
.390
.438
.409
.436
.0*2
.436
.453
.413
.390
.429
.032
.300
.288
.490
.474
.388
.109
.3*0
.294
.330
.313
.473
.122
.772
.781
.575
.632
.466
.472
.945
.964
.701
.193
.842
.838
.937
.914
.888
.045
.631
.632
.736
.742
.695
.063
.648
.696
.482
.447
.373
.116
.333
.369
.634
.606
.390
.032
.431
.482
.443
.4*8
.348
.121
.343
.314
.7*0
.732
.430
.141
.391
.669
.651
.721
.410
.472
1.071
1.144
.716
.263
.889
.978
1.012
1.068
.987
.075
.674
.70S
.819
.931
.787
.126
.398
.638
.631
.666
.638
.031
.398
.699
.330
.418
.414
.062
.444
.490
.7C-»
.72*
.991
.143
.373
.403
.796
.871
.712
.144
.782
.703
.728
.707
.392
.334
1.393
1.212
.834
.302
1.224
1.124
1.180
1.109
1.159
.033
.729
.816
1.073
.990
.902
.158
.446
.418
.336
.347
.387
.034
.232
.298
.388
.243
.296
.064
.144
.062
.274
.128
.137
.089
.373
.333
.237
.426
.403
.124
.749
.613
.764
.641
.372
.381
1.338
1.231
.814
.306
1.017
1.048
.883
.907
.964
.081
.634
.321
.931
.934
.763
.212
.211
.316
.323
.230
.270
.038
.248
.247
.116
.233
.211
.064
.045
.060
-.005
.070
.042
.033
.137
.103
.106
.062
.102
.031
.734
.733
.813
.769
.673
.661
1.370
1.361
.892
.296
1.219
1.201
1.032
1.024
1.119
.103
.803
.832
1.137
1.122
.973
.181
.616
.604
.461
.470
.538
.084
.411
.413
.366
.421
.403
.023
.098
.077
.091
.062
.082
.014
.134
.123
.101
.071
.113
.033
.638
.681
.783
.842
.641
.633
1.417
1.393
.880
.336
1.212
1.226
1.022
1.043
1.126
.108
.774
.836
1.093
1.123
.937
.178
.334
.374
.613
.383
.381
.023
.436
.430
.308
.536
.482
.047
.064
.083
.079
.112
.084
.020
.109
.119
.084
.104
.104
.013
.906
.874
.832
.861
.687
.677
1.376
1.420
.937
.286
1.197
1.207
1.078
1.073
1.139
.073
.833
.849
1.088
1.182
.988
.174
.666
.674
.780
.4*7
.703
.032
.471
.322
.348
.332
.323
.037
.034
.079
.134
.113
.093
.034
.113
.11*
.111
.108
.113
.003
111-51
-------
TAbLF 4I> MSfUNSE Of f—h RATIO Of POTAMOOETON TO LINIIKON CONCENTRATIONS
iF.i-.b.t. iveo EXPEMHENT.
UNITS AR£ GKAflS OXYGEN PE* CU0IC HFTER PL* MUUK.
TREATMENT
TANK.
UEl.v
10
II
.CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
.CONTROL
. MEAN
. ERROR
,'VEH-CONTROL
.UEH-CONTROL
.WEH-CONTROL
.VEH-CONTROL
. MEAN
. ERROR
.LINURON
.LINURQM
.LINURON
.LINURON
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
•
. BEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
•
. flEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
! LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
3
S
s
3
30
30
30
30
100
100
100
100
300
300
300
300
1000
1000
1000
1000
19 .
19 .
6 .
6 .
IS .
13 .
26 .
26 .
t
•
22 .
22 .
24 .
24 .
f
•
17 .
17 .
16 .
IB .
*
•
1 .
1 .
4 .
4 .
•
•
8 .
8 .
21 .
21 .
/
•
2 .
2 .
7 .
7 .
*
•
13 .
13 .
20 .
20 .
^
•
.385
.363
.831
.722
.537
.477
.434
.413
.378
.148
.904
.887
.743
.734
.818
.091
.784
.838
.478
.723
.736
.070
.760
.717
.774
.694
.736
.037
1.331
1.2S9
.773
.396
.990
.361
.744
.670
.931
.946
.823
.137
.336
.343
.374
.483
.334
.037
.082
.049
.371
.463
.140
.236
.031
-.083
.164
.182
.153
.147
.338
.377
.239
.126
.010
.033
.271
.233
.143
.129
.176
.437
.122
.164
.230
.133
.420
.347
.230
.362
.393
.124
.197
.273
.162
.296
.232
.063
.103
.019
.227
.280
.138
.118
.•MO
.687
.693
.844
.687
.690
.441
.446
.632
.134
.703
.693
.798
.711
.727
.048
.373
.313
.656
.751
.624
.103
.376
.666
.302
.496
.363
.088
.634
.806
.849
.761
.762
.093
.710
.651
.396
.746
.676
.067
.2*7
.278
.823
.721
.313
.C34
.435
.527
.932
.942
.600
.753
.760
.791
.717
.183
.804
.732
.938
.901
.849
.100
.642
.338
.700
.745
.661
.081
.618
.SS7
.814
.799
.697
.129
.904
.886
.633
.797
.810
.113
.744
.730
.817
.809
.773
.044
.333
.623
.944
.80S
.727
.183
.398
.18?
.702
.475
.839
.584
.621
.743
.570
.213
.432
.096
.386
.223
.340
.220
.233
.066
.346
.219
.216
.113
-.121
-.318
-.311
-.481
-.308
.147
-.398
-.646
-.493
-.787
-.631
.121
-.742
-1.113
-.663
-1.047
-.892
.223
-.686
-.333
-.831
-.437
-.377
.223
.345
.670
.909
1.194
.919
1.422
1,144
1.320
1.013
.309
.446
.768
.344
.995
.688
.245
-.234
-.013
.704
.878
.329
.347
-.348
.035
-.344
-.171
-.302
.296
-.734
-.431
-1.032
-.418
-.634
.291
-1.160
-1.031
-1.423
-1.099
-1 . 1 78
.171
-1.033
-1.093
-.989
-1.107
-1.036
.033
.399
.670
1.048
1.183
1.093
1.213
1.065
1.124
1.000
.233
.840
.910
1.040
1.038
.962
.103
.9)9
1.003
.876
.913
.928
.034
.633
.683
.492
.636
.616
.083
.439
.342
.036
.261
.324
.213
-.813
-.918
-.881
-.972
-.896
.066
-.908
-.994
-.918
-1.036
-.964
.061
.672
.693
1.299
1.291
1.027
.883
1.107
1.080
1.007
.241
1.093
1.036
1.103
1.042
1.074
.030
1.340
1.322
1.013
.942
1.204
.278
.620
.579
.888
.674
.690
.137
.408
.435
.303
.298
.411
.143
-.820
-.782
-.936
-.832
-.832
.073
-.996
-.975
-.719
-.832
-.933
.064
1.146
1.088
1.113
1.117
.939
1.023
1.011
1.043
1.061
.069
1.064
1.121
1.198
1.333
1.179
.114
.867
.916
.877
.988
.912
.033
.306
.364
.923
.949
.740
.239
.733
.914
.433
.337
.660
.207
-.874
-.604
-.734
-.768
-.730
.111
-.944
-.938
-.838
-.838
-.894
.034
III-5Z
-------
l»bLC 3A kESPONbE OF AtfAK'lNl fHOTOSTNl ME B16 Or HrMOPHYUUM TO ATXAZ1NC
CONCENTkATlONblP.P.H.I. 1979 EUERIHINT
UNI1S AKC GhAMS OXYGIN fEK Cu&lC flETEK PEK HUUK.
WEEIv
TKEATMENT
TANK,
10
.VEH-CONTROL
.WEH-CONTROL
.VEH-CONTR01.
.VEH-CONTROL
. MEAN
. EftftOfc
.ATKAZINE
.ATRA21NE
.ATKAZINE
.AfRAZINE
. MEAN
. ERROR
.ATRAZINE
.ATRAZINE
.AlfcAZINE
.ATRAZINE
. MEAN
. ERROR
.ATRAZINE
.ATRAZINE
.ATRAZINE
.ATRAZINE
. MEAN
. ERROR
.ATRAZINE
.ATRAZINE
.ATRAZINE
.ATRAZINE
. MEAN
. ERROR
.ATRAZINE
.ATRAZINE
.ATRAZINE
.ATRAZINE
.' MEAN
. ERROR
3
S
3
S
SO
50
30
30
100
100
100
100
300
300
300
300
10OO
1000
1000
1000
37 .
37 .
39 .
39 .
.
•
35 .
33 .
40 .
40 .
.
•
31 .
31 .
26 .
26 .
,
•
33 .
33 .
34 .
34 .
f
•
41 .
41 .
42 .
42 .
f
•
32 .
32 .
38 .
38 .
.
•
.134
.222
.216
.284
.214
.06?
.IBB
.297
.436
.393
.383
.176
.200
.288
.000
.000
.366
.131
.178
.337
.239
.270
.261
.075
.093
.310
.189
.222
.204
.089
.408
.432
.320
.523
.421
.083
.135
.095
.227
.239
.174
.070
.380
.325
.187
.230
.280
.088
.231
.091
.000
.000
.349
.227
.340
.313
.294
.213
.290
.054
.103
.149
.138
.084
.118
.030
.432
.316
.421
.369
.384
.053
.454
.454
.445
.437
.447
.008
.473
.333
.346
.317
.472
.083
.314
.541
.OOO
.000
.482
.054
.532
.518
.400
.371
.455
.082
.226
.210
.250
.229
.229
.016
.437
.463
.377
.399
.424 '
.043
.423
.264
.434
.272
.348
.093
.323
.126
.499
.292
.310
.153
.603
.248
.000
.000
.424
.149
.461
.297
.393
.7^6
.339
.083
.181
.102
.249
.191
.181
.060 .
.337
.423
.417
.291
.422
.109
.446
.462
.437
.327
.468
.041
.351
.319
.546
.591
.302
.105
.568
.729
.000
.000
.538
.146
.398
.480
.383
.472
.433
.050
.177
.222
.233
.294
.231
.048
.629
.758
.321
.422
.532
.198
.440
.489
.534
.591
.513
.064
.454
.503
.722
.788
.617
.163
.236
.326
.000
.000
.211
.098
-.033
.055
-.133
.013
-.024
.081
-.253
-.136
-.2BO
-.103
-.183
.067
-.361
-.342
-.317
-.373
-.448
.107
.229
.207
.316
.460
.353
.158
.264
.230
.636
.436
.392
.187
.087
.148
.000
.000
-.134
.313
-.037
-.003
-.483
-.488
-.253
.269
-.331
-.235
-.500
-.488
-.388
.128
-.707
-.491
-.301
-.490
-.347
.107
.473
.440
.355
.347
.304
.036
.563
.342
.791
.798
.674
.139
.392
.344
.000
.000
.393
.060
.263
.314
.332
.482
.396
.139
-.112
-.103
-.170
-.104
-.122
.032'
-.321
-,31»
-.271
-.160
-.268
.073
.450
.671
.539
.691
.588
.114
.348
.765
.640
.735
.672
.098
.391
.512
.000
.000
.314
.097
.298
.422
.268
.303
.323
.068
-.103
-.133
-.040
-.035
-.083
.043
-.376
-.379
-.272
-.233
-.320
.066
111-53
-------
1AH1C S..' KlSfUNKl OF RESf'UATION OF nTRIOPHrLLUn TO ATfcA/INC CONCENlkATIONE,
(f-.P.fc.). J?7» EXt-EMm.N1
UNlTb Aht OKAMS OXTCCN PL ft fuBlC HETER PER HOUfc.
TRtATntNl
TANK.
WEEK
a
.VEH-CCJNTROL
.VEH-CONTROL
.VEH-CONTROL
.VEH-CONTROL
. MEAN
. ERROR
37
37
39
39
. -.185
. -.301
. -.269
. -.351
. -.276
. .070
-.166
-.125
-.310
-.316
-.229
.096
-.443
-.494
-.443
-.436
-.434
.027
-.436
-.360
-.446
-.343
-.396
.052
-.443
-.464
-.436
-.493
-.464
.021
-.660
-.660
-.695
-.695
-.677
.020
-.691
-.684
-.548
-.601
-.631
.069
-.576
-.542
-.588
-.583
-.373
.021
-.393
-.621
-.389
-.611
-.604
..015
•
t
.
•
§
•
.623 -.363
.628 -.495
.873 -1.118
.875 -.833
-.620
-.622
-.798
-.774
-.634
-.693
-.682
-.632
.ATRAZINE 3 33 . -.247 -.432 -.439 -.320 -.409
.ATRAZINE 3 33 . -.334 -.419 -.376 -.107 -.492
.ATRAZINE 3 40 . -.406 -.334 -.534 -.521 -.328
.ATRAZINE S 40 . -.526 -.343 -.379 -.447 -.574
. MEAN . -.383 -.382 -.487 -.349 -.501 -.751 -.733 -.703 -.666
. ERROR . .116 .031 .096 .181 .070 .143 .284 .096 .028
.ATRAZINE SO 31 . -.231 -.210 -.467 -.599 -.563 -.704 -.686 -.328 -.397
.ATRAZINE SO 31 . -.304 -.122 -.515 -.236 -.624 -.704 -.437 -.524 -.583
.ATRAZINE SO 26 . .000 .000 .000 .000 .000 .000 .000 .000 .000
.ATRAZINE SO 26 . .000 .000 .000 .000 .000 .000 .000 .000 .000
. MEAN . -.447 -.395 -.567 -.318 -.599 -.736 -.533 -.347 -.610
. ERROR . .222 .267 .091 .189 .030 .037 .102 .035 .024
.ATRAZINE 100 33 . -.339 -.443 -.501 -.488 -.469 -.493 -.339 -.434 -.313
.ATRAZINE 100 33 . -.461 -.434 -.333 -.401 -.498 -.493 -.776 -.498 -.313
.ATRAZINE 100 34 . -.437 -.487 -.507 -.516 -.471 -.663 -.491 -.624 -.561
.ATRAZINE 100 34 . -.490 -.462 -.311 -.431 -.300 -.663 -.514 -.615 -.537
. MLAN . -.432 -.4Lfc -.513 -.464 -.484 -.578 -.380 -.543 -.332
. EKROR . .066 .023 .014 .050 .017 .098 .132 .092 .022
...TRAZINE 300 41 . -.254 -..'82 -.297 -.233 -.207 -.360 -.303 -.134 -.263
.ATRAZINE 300 41 . -.394 -.284 -.301 -.178 -.319 -.360 -.254 -.139 -.260
.ATRAZINE 500 42 . -.:.!* -.347 -.333 -.339 -.313 -.448 -.478 -.244 -.327
...IRAZINE 300 42 . -.407 -.333 -.331 -.279 -.332 -.448 -.SIS -.217 -.302
. 1CAN . -.343 -.312
. IRfcOk . .071 .034
.AIRAZINE 1000 32 . -.374 -.33'
.ATRAZINE 1000 32 . -.483 -.495
.AlhAZINE 1000 38 .-.'?* -.'76
.AIRAZINE 1000 36 . -.17? -,48V
. MEAN . -.466 -.'»(• -,4C -.518 -.484 -.i'3: .492 -.363 -.398
. ERROR . .084 .025 .('6 .081 .089 .f:' .I'?* .157 .069
.320 -.262
.026 .067
-.293
.038
.404 -.388
.031 .12*
.313 -.379 -.322
.SI." -.327 -.391
.41.- -.563 -.393
.'30 -.402 -.431
.546
.546
.327
.M7
-.47C
.1?*
.747
-.288
.032
-.497
-.387
-.372
-.337
111-54
-------
TAhlE 3C KtStONbl Or GKOSS f MOTOS>rNTMLSlS OF HTk'lOF HTLLUn TO ATKAZINC
CONCENTRATIONS^^ .11. >. 1V79 EXI'tRlHFN'
UNITS ARE GKAnS OxrCiEN fFF CoBlC METER fEK HOUN.
. TREATMENT
.VEH-CONTROL
.VEH-CONTROL
.VEH-CONTROL
.VEH-CONTROL
. HE AN
. ERROR
.ATRAZINE S
.ATRAZINE 5
.ATRAZINE S
.ATRAZINE S
. MEAN
. ERROR
.ATRAZINE SO
.ATRAZINE SO
.ATRAZINE SO
.A1RAZINE SO
. MEAN
. ERROR
.ATRAZINE 100
.ATRAZINE 100
.ATRAZINE 100
.ATRAZINE 100
. MEAN
. ERROR
.ATRAZIPC SOO
.ATRAZINE 500
.ATRAZINE SOO
.ATRAZINE SOO
. MEAN
. ERROR
.ATRAZINE 1000
.ATRAZINE 1000
.ATRAZINE 1000
1 .ATRAZINE 1000
. MEAN
. ERROR
TANK.
37 .
37 .
39 .
39 .
.
35 .
35 .
40 .
40 .
.
31 .
31 .
26 .
26 .
.
33 .
33 .
34 .
34 .
.
41 .
41 .
42 .
42 .
.
32 .
32 .
38 .
38 .
•
3
.393
.644
.593
.776
.601
.159
.534
.792
1.024
1.329
.338
.524
.713
.000
.000
.992
.460
.653
1.003
.850
.956
.865
.155
.450
.861
.636
.792
.683
.183
.932
1.108
.927
1.323
1.072
.187
<
.367
.271
.661
.682
.493
.207
.985
.912
.654
.710
.815
.158
.325
.262
.000
.000
.901
. .597
.960
.920
.976
.861
.929
.031
.497
.347
.623
.353
.353
.052
1.179
1.099
1.087
1.033
1.082
.072
S
1.0. 7
!.!• i
1.064
1.047
1.083
.043
1 .086
.880
1.321
1.328
1.154
.214
1.168
1.261
.000
.000
1.276
.082
1.233
1.265
1.110
1.086
1.173
.089
.642
.632
.716
.720
.677
.047
1.178
1.180
.960
1.070
1.097
.105
4
1.033
.768
1.058
.751
.902
.166
.772
.275
1.228
.917
.79B
.397
1.442
.579
.000
.000
1.150
.392
1.144
.859
1.115
.917
1.009
.142
.533
.351
.724
.581
.548
.134
1.367
1.162
1.209
.834
1.148
.215
WEEK
T
1.066
1.111
1.075
1.217
1.117
.069
.924
1.208
1.285
1.395
1.203
.201
1.360
1.603
.000
.000
1.378
.164
1.055
1.177
1.043
1.172
1.112
.073
.467
.669
.674
.738
.642
.124
1.361
1.383
.871
1.023
1.210
.323
&
1.164
1.413
1.507
1.564
1.462
.090
1.333
1.383
1.947
2.013
1.669
.361
1.222
1.312
.000
.000
1.241
.063
.658
.746
.795
.942
.785
.119
.251
.348
.407
.324
.382
.114
.203
.422
.207
.351
.296
.109
9
1.197
1.166
1.284
1.301
1.237
.066
1.055
.922
2.203
1.602
1.446
.584
1.046
.760
.000
.000
.640
.344
.717
1.083
.205
.231
.559
.421
.096
.121
.170
.233
.139
.060
-.050
.229
.166
.228
.143
.132
>0
1.279
1.199
1.378
1.366
1.303
.084
1.432
1.413
1.909
1.882
1.639
.273
1.131
1.078
.000
.000
1.160
.069
.873
1.011
1.406
1.343
1.158
.257
.104
.120
.171
.201
.149
.043
.277
.462
.030
.186
.244
.173
II
1.281
1.541
1.364
1.546
1.433
.132
1.464
1.737
1.394
1.620
1.604
.112
1.226
1.329
.000
.000
1.368
.118
1.018
1.143
1.053
1.054
1.067
.053
.263
.232
.417
.367
.320
.087
.319
.162
.249
.217
.237
.066
.
•
.
*
'
•
.
•
•
•
I
•
111-55
-------
TAhLE !H KfSf'ONSr Of f-K RATIO OF MTh lOnirLLUM TO ATkAZINf CONCENTRATIONS
O'.KIi. ). 197V EXIERIMENI.
UNITS AkE GKAMS OXYliLN fEK CU
-------
TAbLE 6* hlSf-ONSE Of APPARENT PHOTOSYNTHESIS Of MYRIOHMYLLUr TO LJNUKIIK
CQNCENTRATJONSCF-.F . H. ) . 1980 FXF'ERIHENT.
UNITS ARE GRAMS OXTDLN F'tK Cuft'C METER FEk HUUK.
UEtK
. TREATMENT TANK. 3 45 b f 8 9 lO'l
.CONTKOL 29 . .398 .148 .1OI .149 .274 .370 .360 .*S7 .31)
.CONTROL 29 . .343 .103 .099 .196 .211 .311 .401 .530 .33:
.CONTROL 30 . .262 .069 .Ii6 .106 .166 .274 .334 .412 .431
.CONTROL 30 . .317 .003 .121 .199 .063 .246 .333 .419 .373
• HE AN .. .330 .081 .109 .162 .179 .300 .367 .479 .467
• ERROR . .037 .061 .011 .044 .090 .034 .022 .075 .080
.WEN-CONTROL
.WEN-CONTROL
. WEH-CONTROL
.WEN-CONTROL
. MEAN
. ERROR
.LINURON 5
.LINURON 3
.LINURON 5
.LINURON 5
. MEAN
. ERROR
.LINURON SO
.LINURON 50
.LINURON SO
.LINURON SO
. MEAN
. ERROfc
32 .
3* .
36 .
36 .
.
•
31 .
31 .
41 .
41 .
•
37 .
37 .
40 .
40 .
.
.
.322
.242
.393
.343
.32S
.063
.546
.467
.603
.547
.541
.056
.788
.724
.381
.340
.558
.230
-.020
.011
.080
.072
.036
.048
.049
.038
-.014
-.009
.016
.032
.146
.159
.120
.111
.134
.022
.053
.022
.193
.238
.126
.103
.235
.201
.136
.096
.167
.063
.336
.257
.143
.149
.221
.093
.132
.238
.355
.318
.266
.090
.323
.319
.226
.236
.276
.052
.273
.275
.322
.323
.299
.027
.296
.243
.347
.246
.283
.049
.265
.187
.139
-.020
.143
.120
-.113
-.253
-.008
-.072
-.111
.104
-.066
.133
.147
.270
.121
.139
.391
.430
-.123
.039
.184
.270
.143
.200
.041
.049
.108
.077
.339
.326
.409
.393
.367
.040
.537
.579
.334
.350
.450
.126
.446
.448
.214
.231
.335
.130
.357
.352
.394
.405
.377
.026
.601
.383
.467
.436
.322
.082
.474
.481
.216
.202
.343
.153
.402
.363
.389
.391
.386
.017
.371
.652
.476
.514
.553
.077
.473
.535
.277
.280
.391
.133
.LINURON 100 42
.LINURON 100 42
.LINURON 100 38
.LINURON 100 38
. MEAN
. ERROR
.LINURON 300 39
.LINURON 500 39
.LINURON 500 33
.LINURON 300 33
•
. MEAN
. ERROR
•
.LINURON 1000 34
.LINURON 1000 34
.LINURON 1000 35
.LINURON 1000 35
. MEAN
. ERROP
.273
.297
.275
.270
.279
.012
.598
.464
.359
.295
.429
.132
.098
.060
.156
.133
.112
.042
.071
.084
.103
.101
.090
.013
.125
.113
.381
.407
.256
.139
.334
.275
.172
.172
.238
.080
.104
.148
.456
.455
.291
.191
.367
.419
.324
.367
.369
.039
-.173
-.367
-.163
-.223
-.232
.094
-.435
-.263
-.287
-.352
-.339
.086
-.194
-.168
-.160
-.040
-.140
.069
-.329
-.325
-.413
-.274
-.336
.058
-.085
-.062
.054
.082
-.003
.083
-.250
-.245
-.171
-.176
-.210
.043
.014
.020
.148
.150
.083
.076
-.249
-.264
-.148
-.139
-.200
.066
.028
.010
.198
.193
.107
.102
-.228
-.213
-.125
-.214
-.195
.047
.440
.340
.429
.285
.373
.074
.003
.023
.136
.152
.078
.076
.164
.159
.352
.334
.252
.103
.185
.277
.475
.492
.357
.151
-.347
-.205
-.333
-.333
-.354
.133
-.273
-.273
-.297
-.282
-.282
.011
-.244
-.258
-.266
-.253
-.253
.009
-.226
-.237
-.239
-.232
-.243
.015
-.239
-.229
-.266
-.249
-.246
.016
111-57
-------
T«m.f 6* RESPONSE OF RESFIfcATION (ir HrMUKHniUM TO LINUhON CONCENTKAT IONS
(P.f.Fi.). )9BO EXPERIMENT.
UNITS ARC GhftttS OJCT'JtN F'EK CUBIC METER f-Ef. HOUF
4
,
t
. TREATMENT
.CONTROL
.CONTROL
.CONtfiiL
.CONTROL
. MEAN
. ERROfc
.WEN-CONTROL
.VEH-CONTROL
.VEH-CONTROL
.VEH-CONTROL
. MEAN
. ERROR
.LI HURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. HEM*
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
! MEAN
. ERROR
•
5
5
3
5
50
SO
50
50
100
100
100
100
300
SOO
500
SOO
1000
.000
1000
1000
f
TANK.
29 .
29 .
30 .
30 .
,
.
32 .
32 .
36 .
3* .
t
•
31 .
31 .
41 .
41 .
,
.
37 .
3? .
40 .
40 .
(
•
42 .
42 .
36 .
38 .
(
•
3V .
3* .
33 .
33 .
•
•
34 .
34 .
33 .
39 .
t
•
1
-.IBB
-.249
-.294
-.274
-.276
.020
-.284
-.238
-.322
-.30o
-.293
.028
-.431
-.415
-.399
-.380
-.411
.030
-.330
-.625
-.288
-.283
-.436
.177
-.23>
-.227
-.239
-.233
-.233
.005
-.411
-.33*
-.284
-.240
-.323
.073
-.336
-.307
-.330
-.373
-.342
.028
4
-.331
-.307
-.326
-.311
-.319
.012
-.253
-.234
-.314
-.317
-.284
.036
-.321
-.291
-.326
-.301
-.310
.017
-.483
-.489
-.290
-.273
-.385
.118
-.2*0
-.281
-.273
-.248
-.273
.018
-.377
-.349
-.237
-.263
-.312
.060
-.347
-.363
-.423
-.343
-.369
.037
5
-.294
-.270
-.316
-.312
-.298
.021
-.279
-.239
-.304
-.293
-.284
.020
-.363
-.340
-.365
-.345
-.333
.013
-.363
-.338
-.299
-.263
-.416
.137
-.286
-.274
-.300
-.303
-.291
.013
-.406
-.390
-.280
-.266
-.333
.073
-.331
-.314
-.436
-.441
-.383
.073
•
-.278
-.289
-.310
-.327
-.301
.022
-.283
-.332
-.373
-.390
-.343
.047
-.421
-.441
-.378
-.400
-.410
.027
-.327
-.339
-.323
-.367
-.444
.116
-.280
-.326
-.347
-.384
-.334
.043
-.447
-.437
-.298
-.308
-.377
.086
-.346
-.378
-.476
-.514
-.428
.079
UEEf
7
-.324
-.363
-.428
-.328
-.368
.043
-.330
-.407
-.449
-.443
-.407
.035
-.366
-.609
-.322
-.620
-.379
.043
-.441
-•«0i
- S«2
• .303
-.397
. .139
-.323
-.497
-.341
-.341
-.376
.081
-.322
-.32i
-.339
-.374
-.439
.097
-.399
-.399
-.493
-.493
-.446
.034
I
-.329
-.233
-.310
-.242
-.27?
.047
- .389
-.280
-.476
-.302
-.362
.090
-.463
-.420
-.501
-.413
-.453
.045
-.474
-.400
-.205
-.149
-.307
.133
-.289
-.231
-.238
-.193
-.243
.041
-.416
-.363
-.302
-.262
-.336
.068
-.293
-.237
-.322
-.277
-.282
.033
9
-.306
-.286
-.276
-.243
-.278
.023
-.342
-.316
-.341
-.319
-.329
.014
-.306
-.484
-.438
-.426
-.463
.038
-.580
-.362
-.293
-.277
-.428
.163
-.262
-.239
-.226
-.223
-.242
.021
-.332
-.331
-.219
-.196
-.279
.084
-.273
-.264
-.291
-.282
-.277
.012
10
-.239
-.269
-.239
-.272
-.233
.018
-.287
-.327
-.319
-.359
-.323
.030
-.434
-.471
-.377
-.406
-.427
.043
-.338
-.366
-.301
-.322
-.432
.140
-.228
-.232
-.214
-.253
-.237
.020
-.324
-.368
-.163
-.250
-.277
.089
-.216
-.247
-.242
-.245
-.237
.014
II
-.313
-.3or
-.323
-.291
-.308
.014
-.369
-.327
-.391
-.360
-.362
.027
-.332
-.343
-.434
-.433
-.495
.061
-.368
-.390
-.343
-.310
-.433
.146
-.293
-.278
-.300
-.272
-.286
.013
-.368
-.334
-.161
-.083
-.242
.141
-.238
-.238
-.230
-.247
-.243
.006
111-53
-------
TAMl 6C HSIIiNM Of OkObS f MOIOSTNIHLSIS OF NlHOHirtlUn 10 LINUMIN
ClINi [NTKATIONMI .( .h. » , IVHO IXIFMhNlI.
UNITS Af>E CKAKS OX'ULN fl> CuB't HETEK FEK HUUk.
.
. TREATMENT
.CONTROL
.CONTROL
.CONTROL
.CONTROL
. MEAN
. ERROR
.VCH-CONTROL
.VCH-CONTROL
.VEM-CONTROL
.VCH-CONTROL
. MEAN
. ERROR
.LINURON 3
.LINURON S
.LINURON 3
.LINURON 3
. HE AN
. ERROR
.
TANK.
2* .
2V .
30 .
30 .
m
•
32 .
32 .
3* .
3* .
t
•
31 .
31 .
41 .
41 .
B
.
)
.801
.4*2
.474
.700
.717
.037
.720
.603
.844
.771
.734
.101
1.178
1.048
1.1*2
1.07?
1.117
.043
4
.613
.534
.324
.43?
.328
.071
.334
.366
.31?
.317
.434
.ova
.4??
.443
.442
.413
.430
.03*
i
.312
.477
.318
.338
.326
.03?
.443
.383
.41?
.430
.324
.130
./44
.477
.444
.37?
.441
.04?
fc
.33?
.400
.340
.437
.384
.036
.550
.702
.878
.864
.748
.133
,?12
.V37
.734
.7?3
.830
.088
HEEr
T
.730
.720
.762
.a6S
.695
.08?
.738
.813
,?7S
.844
.833
.0*3
1.038
1.03?
.84?
.848
.?33
.110
•
.811
.64)
.707
. jB4
.4?!
.104
.47?
.323
.813
.4?3
.427
.134
1.070
1.018
.378
.417
.821
.23*
a
.78?
.800
.740
.4?8
.737
.047
.81*
.76*
.884
.83*
.828
.048
1.244
1.234
.*47
. ?44
1.0**
.174
10
.8*2
.?06
.747
.800
.836
.074
.738
.810
.841
.*07
.82*
.042
1.23*
1.242
.?»4
1.004
1.11*
.13*
II
.»32
.»73
.884
.77*
.8*7
.088
.»!»
,821
,»37
.8*4
.8*3
.031
1.344
1.412
1.111
1.120
1.247
.134
.LINURO:. 30 37 . 1.33*
.LINURON 30 37 . 1.3**
.LINURON 30 40 . .784
.LINURON SO 40 . .737
.824 1.128 1.013 .304
.843 1.011 1.038 .387
.324 .342 .774 .331
.4*7 .317 .834 .334
.804 1.238 1.227 1.248
.740 1.234 1.273 1.341
.32* .427 .438 .73*
.238 .418 .433 .714
MEAN
ERROR
. 1.170
. .473
.LINURON 100 42 . .3*4
.LINURON 100 42 . .413
.LINURON 100 38 . .410
.LINURON 100 38 . .400
.473
.187
.303
.433
.338
.480
.804
.310
.*21
.134
.444
.122
.324 .4*3 .280
.4*7 .403 .32*
.802 .?41 .314
.831 .»*2 • .233
.338
.283
.210
.134
.202
.231
.*33
.341
.282
.301
.370
.3*4
.*48
.330
.333
.373
.447
.307
1.023
.334
.43*
.3**
.418
.3/3
MEAN
ERROR
.403
.00*
.LINURON 300 3* . 1.174
.LINURON 300 3* . .»42
.LINURON 300 13 . .73*
.LINURON 300 33 . .431
.4*3
.034
.3**
.372
.444
.472
.177
.738
.244
.»02 .»*4
.821 1.C40
.343 .741
.344 .7*8
.2*4
.033
.274
.IN
.172
.200
.032
.234
.183
.008
.0*2
.337
.084
.242
.247
.133
.0*8
. MEAN
. ERROR
.••1
.238
.LINURON 1000 34 . ,?13
.LINURON 1000 34 . .770
.LINURON 1000 33 . .*!*
.LINURON 1000 33 . .811
.327
.04*
.48*
.334
.728
.431
.708
.181
.133
.427 .44*
.400 .807
.**0 1.142
.*32 1.211
.274
.134
.211
.333
.137
.337
.134
.107
.133
.03*
.134
.104
.180
.073
.138
.111
.140
.141
.419
.077
.203
..232
.084
.211
.188
.072
.077
.lOf
.080
.0*1
. MEAN
. ERROR
.833
.074
.3*3
.104
.7*2
.207
.»37
.241
.24*
.101
.113
.041
.132
.014
.08*-
.014
.308
.103
.288
.282
.101
-.0*4
.144
.181
.0*3
.104
.084
.008
111-59
-------
)»HLl 6l> KtBHINSf Of P-K kftln OF flYKIOPHYLLUn TO LJNUKON CONCENTRATIONS,
(P.F.K.). 1VBO EXf EMHCN1 .
UNITE AHE CKAnS OXTOLN P£* CofcU HETEfc fEh MOUK.
.
.
. TkCATnENT
.CONTKOL
.CONTROL
.CONTROL
.CONTROL
. HE AN
. ERROR
.VEH-CONTROL
.VEH-CONTROL
.VEH-CONTROL
.VCH-CONTROL
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROK
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
.LINURON
.LINURON
.LINURON
.LINURON
. MEAN
. ERROR
3
3
3
3
30
30
30
30
100
too
too
100
300
300
300
300
1000
1000
1000
1000
,
TANK.
2V .
29 .
30 .
30 .
(
•
32 .
32 .
36 .
36 .
t
•
31 .
31 .
41 .
41 .
^
•
37 .
37 .
40 .
40 .
,
•
42 .
42 .
38 .
38 .
t
•
39 .
39 .
33 .
33 .
t
•
34 .
34 .
33 .
33 .
,
*
*
1.382
1.378
.891
1.157
1.202
.232
1.134
.938
1.220
1.121
1.103
.11V
1.211
1.123
1.311
1.43V
1.321
.183
1.433
1.138
1.323
1.201
1.27V
.124
1.182
1.308
1.131
1.14V
1.197
.073
1.433
1.303
1.233
1.22V
1.310
.101
1.302
1.107
1.226
.760
LOW
.240
4
.446
.334
.212
.010
.231
.187
-.079
.043
.235
.227
.111
.138
.133
.131
-.043
-.030
.033
.104
.301
.323
.414
.404
.361
.036
.338
.214
.371
.336
.413
.16V
.188
.241
.401
.381
.303
.104
.009
.063
.322
.443
.20V
.207
ft
.344
.367
.347
.388
.366
.018
.190
.083
.635
.807
.42V
.347
.647
.5V1
.373
.278
.472
.173
.393
.478
.478
.367
.330
.061
.437
.412
1.270
1.343
.863
.310
.823
.703
.614
.647
.497
.OV2
.493
.306
.772
.737
.632
.133
b
.334
.678
.34?
.609
.341
.143
.333
.717
.V32
.815
.734
.174
.767
.723
.598
.590
.66V
.089
.322
.492
.VV1
.880
.721
.232
.371
.434
1.314
1.183
.831
.487
..821
.V17
1.087
1.1 V2
1.004
.167
.333
.733
.998
.V37
.806
.213
UUK
7
.832
.381
.388
.176
.499
.288
.897
.397
.773
.333
.70S
.13V
.468
.307
.266
-.032
.232
.20V
-.236
-.421
-.033
-.236
-.236
.13V
-.338
-.738
-.478
-.634
-.602
.116
-.872
-.304
-.847
-.V41
-.7V1
.1V3
-.870
-.314
-1.081
-.673
-.783
.243
6
1.123
1.323
.884
1.017
1.087
.184
-.170
.473
.30V
.894
.377
.440
.806
1.024
-.246
.094
.420
.3V3
.302
.300
.200
.32V
.333
.123
-.471
-.727
-.620
-.207
-.336
.237
-.791
-.8V3
-1.374
-1.044
-1.027
.234
-.V3V
-1.132
-.V22
-1.018
-1.008
.103
«
1.176
1.402
1.283
1.449
1.327
.123
.Wl
1.032
1.1 VV
1.232
1.113
.120
1.061
1.194
.763
.822
.960
.203
.76V
.7V7
.723
.834
.781
.046
-.324
-.23V
.23V
.348
.011
.344
-.710
-.4V8
-.781
-.898
-.772
.092
-.8V4
-.V77
-.V14
-.8V7
-.V20
.03V
IO
2. 331
1.V70
1.724
1.340
1.BV1
.342
1.244
1.076
1.233
1.128
1.171
.002
1.324
1.238
1.23V
1.074
1.21V
.103
.881
.830
.718
.427
.74V
.118
.041
.07V
.6V2
.388
.333
.331
-,74f
-.717
-.1*97
-.334
-.733
.141
-1.044
-.960
-1.070
-1.02V
-1,026
.047
II
1.422
1.828
1.334
1.282
1.314
. .236
1.08V
1.110
.VVS
1.086
1.070
.031
1.034
1.201
1.048
1.187
1.117
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.833
.V07
.803
.903
.861
.032
.096
.034
.660
.710
.373
.33?
-.620 .
-.402
-.774
-2.318
-1.12V
.929
-1.004
-.V42
-1.064
-1.008
-1.00V
.042
111-60
-------
»
CHAPTER IV
ATRAZINE UPTAKE, PHYTOTOXICITY, RELEASE
AND SHORT-TERM RECOVERY FOR THE SUBMERGED AQUATIC PLANT,
POTAMOGETON PERFOLIATUS
T.W. JonesJ'2
W.M. Kemp2
P.S. Estes3
J.C. Stevenson2
Salisbury State College
Department of Biological Science
Salisbury, MD 21801
2
Horn Point Environmental Laboratories
Center for Environmental and Estuarine Studies
Cambridge, MD 21613
Oregon State University
Department of Zoology
CorvaMs, Oregon 97331
IV-i
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ABSTRACT
Atrazine uptake, phytoxicity, release, and short-term photosynthetic
recovery in the submerged vascular plant, Potamogeton perfoliatus, were investi-
gated in laboratory studies. The processes of atrazine uptake and release
were rapid, approaching equilibrium within 1 n. At low concentrations (<0.10
ppm), atrazine is accumulated into plant material at concentrations greater
than those external to the plant. At the lowest concentration tested (0.01
ppm), the ratio of atrazine in the shoot to the incubation solution was 9:1.
It is hypothesized that atrazine sorbs to plant tissue in addition to estab-
lishing an equilibrium between internal and external aqueous concentrations.
Thus, at lower external atrazine solution concentrations, the sorbed herbicide
exerts a yreater influence on the ratio of shoot to solution atrazine causing
the ratio to increase. The uptake of atrazine by roots of £. perfoliatus was
found to be small in comparison to shoot uptake on a whole plant basis.The
150 (the concentration inhibiting photosynthesis by 50%) for atrazine in
solution was determined to be 0.08 ppm with the maximum observed photosynthetic
reduction (87%) at a solution concentration of 0.65 ppm. Initial photosynthetic
recovery of P_. perfoliatus following exposure to atrazine was rapid with oxygen
evolution from treated plants (0.05, 0.03, and 0.10 ppm) being statistically
indistinguishable (p<0.05) from control plants after 2 h of atrazine-free
wash. However, there was an indication of residual photosynthetic depression
in dosed plants, even after a 77 h recovery period. The ecological consequences
of atrazine runoff into areas containing submerged aquatic vegetation must be
evaluated 1n light of the ephemeral nature of the presence of atrazine in the
water and the kinetics of uptake and release by the plants.
IV-1
-------
r
•
INTRODUCTION
A small but measurable percentage of the herbicides used for agricultural
weed control is lost from the croplands where applied, and some eventually
enters contiguous watercourses (Muir et al. 1978, Triplett et al. 1978, Wu
1980). If significant concentrations of these herbicides result in adjacent
aquatic systems, a potential stress exists for the indigenous aquatic vegetation
(Stevenson and Confer 1978). In many aquatic environments such as lakes and
estuaries, a conspicuous and productive community is that of the submerged
vascular plants. Over the last two decades, one such estuarine ecosystem,
Chesapeake Bay, has experienced a marked decline in the abundance of this
submerged aquatic vegetation (SAV). This decline occurred during a period of
expanding use of herbicides, particularly atrazine (2-chloro-4-ethylamino-6-
isopropylamino-s-triazine) in the extensively cropped watershed (Bayley et al.
1978; Stevenson and Confer 1978). This coincidence of widespread herbicide use
and SAV decline has been interpreted to suggest a possible causal connection
between the two trends (Stevenson and Confer 1978; Correll et al. 1978).
Several recent studies have examined the effect of atrazine on SAV species
in Chesapeake Bay (Forney and Davis 1981; Correll and Wu 1982; Cunningham et
al. 1982). In each of these studies consistent significant losses of SAV growth
and production were observed at atrazine concentrations of .05-.10 ppm. Con-
centrations of .01-.012 ppm resulted in significant effects on SAV in many
(but not all) experiments. In nature, these submerged plants may be exposed
ocassionally to atrazine concentrations on the order of .005-.050 ppm for brief
periods during runoff events; however, dilution, adsorption, and degradation of
the herbicide tend to reduce concentrations to 0-.005 ppm within 6-24 h (Correll
et al. 1978; Kemp et al. 1982). Since SAV exposure to phytotoxic herbicide
concentrations tends to be short term, it becomes important in assessing
herbicide effects to know how rapidly the compounds are taken-up by
plants, how uptake and plant response are related, and whether effects persist
after herbicides are removed from the water.
The purpose of this study was to examine the kinetic relationships between
SAV uptake of atrazine and phytotoxic response. Experiments conducted here involve
the plant, Potamogetpn perfoliatus, a dominant SAV species in upper Chesapeake
Bay, and the herbicide, atrazine, which is the most widely used weed control
chemical in the bay's watershed (Stevenson and Confer 1978). Specific questions
investigated in this study include: 1) the rate of atrazine uptake; 2) the
relative importance of root versus shoot uptake; 3) the relation between uptake
and reduction in carbon assimilation; 4) the time required for photosynthetic
recovery following brief (2 h) exposure to atrazine.
IV-2
-------
MATERIALS AND METHODS
Collection of Experimental Materials
Experimental plants (_P. perfoliatus) were collected from shallow (0.5 to
1.5 m) areas of the Choptank River estuary, a tributary of Chesapeake Bay during
July 1981 and 1982. Plants were obtained 1 d prior to experimental incubations
by gently removing roots and rhizomes from their substrate and washing leaves
and roots free of sediments and epiphytic material. Plants were held overnight
in filtered estuarine water enriched with Provasr'. i's ES medium at 25 C under
constant fluorescent illumination of 150 yEin • nr2 • s*1. All experiments
were conducted either in a Percival environmental chamber or a microcosm system
of 20 £ aquaria under the same light and temperature conditions, using filtered
(0.45 urn) estuarine water of salinity similar to that at the site of collec-
tion (9-11 ppt).
Atrazine Uptake and Phytotpxicity
Matched sets of plant material (ca. 5 g wet wt) were selected for use in a
series of 2 parallel treatments. The first treatment employed uniformly ring-
labelled [l4C]-atrazine (50 pci/mg, CIBA-GEIGY Corp ) dissolved in methanol
to ascertain atrazine uptake, while the other used [i^C]sodium bicarbonate
(53 uCi/mmol) plus non-labelled atrazine dissolved in methanol to determine
the amount of C^-fixation at a given herbicide dosage. Plants were incubated
1n 2 I Erlenmeyer flasks at atrazine concentrations of 0.01, 0.05, 0.10, 0.45,
and 0,65 ppm. A methanol vehicle control containing [*4C] sodium bicarbonate
plus the same amount of methanol as used with the atrazine and a standard
control with [l^C] sodium bicarbonate only were also performed. The total
volume in each flask was adjusted to 1 t with ES medium, and all 4 flasks were
simultaneously incubated for 4 h with periodic (hourly) mixing by hand swirling.
At the end of the experiment plants were radioassayed as described below.
^ime-Course Atrazine Uptake
Clean plants (terminal 20 cm) were placed in replicate flasks containing
either 0.02, 0.05 or 0.10 ppm 14C-atrazine (ring-labelled, 50 yci/mg) dis-
solved in 1.0 i. The flasks were incubated for a total of 24 h at constant
temperature and light. Plants were removed from the flasks at 0, 0.25, 0.50,
0.75, 1, 2, 4, 8, 12, and 24 h from the initial treatment, washed, and processed
for radioassay as described below.
Photosynthetic Recovery
Experiments to test photosynthetic recovery were Initiated by placing
individually tagged plants in 300 ml BOD bottles containing filtered (1 urn)
IV-3
-------
estuarine water. A control and 3 atrazine treatments (.005, .025, and .100 ppm)
were used, with 5 replicate measurements of photosynthesis for each incubation.
Bottles containing plants were suspended in 55 i aquaria, with water circu-
lated vigorously using submersible pumps. Apparent photosynthesis (Pa) was
estimated by changes in dissolved oxygen (DO) during 2 h incubations, where DO
measurements were made with a polarographic oxygen electrode (Orbisphere Model
(2709).
Two sets of experiments were conducted to Investigate photosynthetic
recovery. In the first of these, dosed plants were transferred to atrazine-free
filtered estuarine water in 300ml BOD bottles at 2 h after initial atrazine
dosing, and Pa was measured again in a second 2 h incubation. This was repeated
two more times in new atrazine-free water, and then the tagged plants were
returned to aquaria (one for each treatment) containing 20 i of filtered water
and maintained in the li^ht overnight. A final 2 h incubation '-/as conducted on
the following day, 24 h after initial washing to estimate Pa. The second
experiment involved washing plants in a larger volume of water and continued for
more than 3 d. Plants were returned to the pre-incubation aquaria following the
initial 2 h dosing period and allowed to flush in atrazine-free water (20 i)
for 3 h before being incubated in BOD bottles for 2 h to monitor photosynthesis.
This procedure was repeated at 29 and 77 h. At the end of each time interval
(3 h, 29 h, 77 h) the wash water in each aquarium was replaced with new filtered
water.
Atrazine Release
Atrazine release was monitored for 0.10 ppm herbicide treated plants in
the first of the recovery experiments above. Here, 10 replicate plants were
treated for 2 h with 0.10 ppm ring-labelled l^C-atrazine (50 uCi/mg). Five
of these plants were immediately processed for radioassay as described below.
The other 5 plants were placed in BOD bottles and treated as above. At
the end of each incubation in atrazine-free water, 1 ml aliquots were taken
from each BOD bottle and placed in 10 ml of Aquasol-2 (New England Nuclear)
for subsequent radioassay. At the end of the entire series of incubations and
washes, the plants were removed and dried for analysis of remaining 14C
content as described below.
The release of l^C-atrazine Was also measured in a wash series of various
solvents. Plants incubated for 2 h in 0.01, 0.05, 0.10, 0.45 and 0.65 ppm
14c-atrazine were subjected to a 4-step wash series. Four 1.0 t beakers were
arranged in the following order: (1) 500ml of estuarine water, (2) 0.1 %
Tween 80 (surfactant) in 500ml of estuarine water, (3) 500ml of estuarine
water, and (4) 500 ml of a 2% HC1 solution in estuarine water. The plants were
sequentially placed and agitated briefly in each of the beakers, blotted dry,
weighed, and dried at 80 C. Water from each of the 4 beakers was sampled (in
triplicate) after each wash for l^C-atrazine by placing a 1.0ml aliquot
into 10 ml Aquasol-2.
IV-4
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*4C-Analysis of Plant Material
All plant samples were dried at 80 C until constant weight (usually 24 h),
separated into root/rhizome (referred to as roots) and stem/leaf (referred to
as shoots) sections, weighed, and ground to powder with mortar and pestle. An
aliquot (0.1-0.2 g) of the ground, dried plant material was placed in tubes and
digested with nitric acid according to the method of Lewis et al. (1982). A
portion (1.0ml) of the digested plant material was placed in \ il of Aquasol-
2. All counts were performed using a Packard Tri-Carb 460C Liq,. -, Scintillation
Spectrometer. Quench corrections were made using the external standard channels
ratio method.
RESULTS AND DISCUSSION
Plant Uptake of Atrazine
The movement of atrazine into £. perfoliatus is quite rapid, coming to
near equilibrium with the surrounding solution within 15 min (Fig. la). The
atrazine concentrations within the plant remained quite stable from the first
hour of incubation through the 24th hour (Fig. Ib). A one-way ANOVA with
Student-Newman-Keuls (SNK) test of the means shows no significant difference
(p<0.05) between plant atrazine concentrations past 15 minutes of incubation.
Furthermore, varying solution concentrations of atrazine from .02 to .10 ppb
had little or no effect in the time required to attain equilibrium.
There are few comparable studies involving herbicide uptake and subsequent
release by aquatic plant species. The most similar studies are ones involving
single-celled algae or bacteria. Vallentine and Bingham (1976) found that for
several algae (Scenedesmus. Chlamydomonas, Euglena) the major uptake occurred
within the first minute of incubation, with internal concentrations staying
relatively constant for the remaining experimental period (24 h). Bohm and
Muller (1976), also working with Scenedesmus, found that cellular atrazine
uptake reached equilibrium with the culture solution in 4-8 h.
The relative importance of root versus shoot uptake of atrazine appears
reasonably balanced (root uptake ranging from 16-40% of shoot uptake) when the
data are normalized on a per gram tissue basis (Table 1). However, when the
relatively low biomass of roots compared to shoots per plant is considered,
uptake by the root portion of the plant is far less significant. In Table 1
uptake on a per gram root or shoot basis is compared to that on a total atrazine
per plant part basis, and it is apparent that actual uptake of atrazine per
plant by roots relative to shoots was very low. This estimate of root uptake
is probably lower than that occurring in the natural environment due to possible
injury to root systems during plant collection but still indicates a lesser
role of the root system in uptake of atrazine. This is the same conclusion
reached by Forney and Davis (1981) for both P. perfoliatus and El odea canadensis
where they partitioned roots and shoots, dosTng one or the other or boTKI
Since the roots and shoots of the plants were suspended in the same con-
centration of atrazine and the shoots contained a relatively high concentration
IV-5
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l
•H
0.20
0.60
0.7B
TIME (HR)
1.00
Fig. 1. Atrazine uptake by P. perfoliatus in (a) 24 hours at both 0.02 and
and 0.05 ppm and (bj 1 hour at 0.10 ppm (x ± S.D.).
IV-6
-------
TABLE 1. Root:shoot ratio of ^C-atrazine uptake in P, nerfoliatus.
Atrazine
Solution
Concentration
(ppra)
Root uptake per
gram dry wt.
Shoot uptake per
gram dry wt.
Root uptake per plant
Shoot uptake per plant
0.01
0.05
0.10
0.45
0.65
0 '
0.17
0.16
0.40
0.39
0.04
0.07
0.07
0.16
0.06
IV-7
-------
i
of atrazine, translocate on of the compound from the roots to the shoots might
have been inhibited. It is also not certain from these experiments whether
there was any translocation at all. It is conceivable that some atrazine
diffused initially from roots to shoots. However, the low final atrazine con-
centrations in the roots indicate that this was ultimately unimportant.
Funderburk and Lawrence (1963) observed a movement of simazine from isolated
roots to shoots in Heteranthera dubia (waterstargrass), but this was over a 5 d
period compared to the 4 h incubation in the present study. Thomas and Seaman
(1968) found no movement of simazine or atrazine when applied to the roots of
Potamogeton nodosus and similarly no translocation of atrazine was observed
from the roots of Potampgeton crispus (Sutton and Bingham 1968). Therefore,
it might be concluded that translocation of significant quantities of atrazine
by Potamogeton is doubtful.
Stem/leaf (shoot) uptake of atrazine (Fig. 2a) over the concentrations
tested exhibited a generally linear pattern reaching 0.69 vg atrazir.e/gdw
shoot (ppm) at 0.65 ppm aqueous concentration. Although plant dry weight is
generally considered to be a more reliable estimate of plant biomass, wet
weight was used in this study when considering atrazine uptake on a ppm basis.
The wet weight to dry weight ratio of shoots in _P. perfoliatus was determined
to be 10.3 ± 1.2 (n = 25) and for roots was 8.1 ± 0.6 (n = 25). The water
content, obviously a major portion of the biomass in a SAV species, must be
considered when discussing diffusion of atrazine. Rhizome/root (root) uptake
was also linear with the internal concentration reaching 0.27 ppm in a treatment
of 0.65 ppm atrazine.
Atrazine Phytotoxicity
Inhibition of photosynthesis with increasing atrazine concentrations
follows saturation kinetics with the maximum inhibitions (87 and 88%) occurring
at 0.45 and 0.65 ppm, respectively (Fig. 2a). Dark ^-fixation for these
plants was determined to be 2% of the total C02 fixed in the light, and
uptake of atrazine was the same in the light as 1n the dark (this uptake
insensitivity to light for atrazine uptake has also been reported by Vallentine
and Bingham (1976) working with the alga Scenedesmus). The 159 (atrazine
concentration at which photosynthesis is inhibited 50%) f or _P. perfoliatus in
these experiments was 0.08 ppm. This is in relatively good agreement to the
ISQ found by Cunningham et al. (1982) who worked with plants from the same
_P. perfoliatus population as in this study. They reported a 50% reduction in
apparent photosynthesis (Pa) at an atrazine concentration of 0.13 ppm. Of
interest is the fact that their experiments were long term (3 wks) and used
oxygen evolution to assess photosynthesis as compared to the experimental time
(4 h) and methodology (14C) of our study.
Outside of the work by Cunningham et al. (1982), it is difficult to compare
the results of this study on £. perfoliatus with others. Forney and Davis
(1981) did use as one of their SAV plants P_. perfoliatus but measured changes
in plant length, dry weight and mortality as indices of atrazine toxicity.
They estimated the I$Q in one experiment to be 0.474 ppm for length and
0.091 ppm for dry weight; however, in another experiment of longer duration
(4 wk) a 51% reduction in elongation rate occurred at 0.032 ppm. With El odea
canadensis, values of I$Q were obtained at 0.075 ppm and 0.123 ppm for elonga-
IV-8
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100
80
60
o
U
40
20
CO
«
UJ
I
CO
o
H
O
X
a.
(A)
• Inhibl tion of
P hotosynthesis
Atrazine Uptake
*
*»
0
£
o
0.8
0.6
0.4
0.2
O.I 0.2 0.3 0.4 0.5 0.6 0.7
ATRAZINE CONCENTRATION IN THE WATErt(ppm)
o
o
-C
CO
UJ
a.
ui
Nl
ft
»-
100
so
o
- 60
CD
40
20
(B)
j_
_L
_L
_L
J.
0.1 0.2 0.3 0.4 0.5 0.6 0.7
ATRAZINE CONCENTRATION IN THE SHOOTS
^ng /gm wet wt.
Fig. 2. (a) Atrazine uptake and associated photosynthetic inhibition in £.
perfoliatus at atrazine concentrations of 0.01 to 0.65 ppm. ~
(b) Internal atrazine concentration and associated photosynthetic
inhibition in P. perfoliatus.
IV-9
-------
tion and weight increment, respectively. While Correll and Wu (1982) observed
a slight stimulation of apparent photosynthesis for P. pectinatus at 0.075 ppm
atrazine, reductions of 50% and 20% were found for Zahnichellia palustrus and
Vallisneria americana, respectively, at that concentration. Thus, it would
appear that atrazine concentrations on the order of 0.100 ppm would effect an
for most SAV species studied.
The relationship of internal atrazine concentration in the shoot to
photosynthetic inhibition shows that the maximum photosynthetic inhibition
observed occurs when the internal atrazine concentration of the shoots reaches
about 0.45 ppm (Fig. 2b). A striking relationship is evident between the
external and internal atrazine concentrations in the shoots and the degree of
photosynthetic inhibition. An equilibrium appears to exist between internal
and external atrazine concentration only at the point in which maximum photo-
synthetic inhibition was observed. When the other atrazine solution concentra-
tions tested are examined, a slightly different case is found. In Fig. 3 it
can be seen that the ratio of atrazine in the shoot to atrazine in solution is
near unity at 0.45 ppm and increases (shoot accumulation) with lower concentra-
tions. If atrazine uptake in plants is a passive diffusion process, one would
expect (barring significant degradation in a 4 h period) an equilibrium to be
established between the total internal and external 14C-activity producing a
ratio of unity. However, the ratio for the shoots is always greater than one
indicating a possible atrazine accumulation against a concentration gradient.
This relative accumulation increased as the solution atrazine concentration
decreased. The plant:solution ratios for roots versus atrazine concentrations
(Fig. 2) are all less than unity (with the exception of the roots in the 0.01 ppm
solutions). Thus reflecting the relatively poor absorption of atrazine by
the P. perfoliatus roots in these experiments.
This apparent accumulation of atrazine at low concentrations has been
observed in algae by direct measurement (Bohm and Muller 1976) and indirectly
by measurement of the % atrazine remaining in solution (Vallentine and Bingham
1976). Atrazine is known to have a high binding affinity for organic matter
(Weber et al. 1969 ). The apparent accumulation at low atrazine concentrations
seen in this study and those of Bohm and Muller (1976) and Vallentine and
Bingham (1976) could simply be a result of the fixed amount of atrazine sorbed
per gram dry weight plant material having a greater influence on the ratio of
internal to external atrazine as the external atrazine concentration decreases.
In support of this is the report by Geller (1979) who found a good correlation
between bacterial surface area and atrazine accumulation, i.e., increased
surface area yielded higher atrazine accumulation.
Another possible explanation for this apparent accumulation of atrazine
in the shoots of £. perfoliatus at low atrazine concentrations may be found in
the fact that photosynthetic inhibitors like atrazine bind to protein at their
sites of activity in the chloroplast (Pfister et al., 1980). The total number
of binding sites for atrazine in the chloroplasts of the plant would be a
finite number relative to the mass of photosynthetic units in the plant (the
number of sites is estimated to be between several hundred to twenty-five
hundred per chlorophyll molecule ( Izawa and Good, 1965; Tischer and Strotmann
et al. 1974)). As atrazine diffuses into the plant chloroplasts and is bound
to the sites it would be removed from the solution phase thus reducing the
IV- 10
-------
•I
Z B
o
J
O 6
0)
a
bl
Z
N
ATRAZINE UPTAKE EQUILIBRIA
Shoots
O.I 0.2 0.3 0.4 0.5 0.6 0.7
SOLUTION CONCENTRATION,ppm
0.8
Fig. 3.
Ratio of atrazine uptake in £. perfoliatus to atrazine,concentration
in the medium.
IV-11
-------
*
plants incubated for 4 hr in a concentration gradient of atrazine is shown in
Table 2. The purpose of using this wash sequence was to see the degree of
sorption of ^C-atrazine in the plant material. It was assumed that first
wash would remove the loosely associated surface film containing the !4C-atraz1ne
from the incubation solution, while the surfactant in the second wash would
remove physically bound chemicals. The third wash (filtered water only) was
simply to remove the surfactant from the plant and as a check on the amount of
14C-atrazine associated with the plant still removable by a water wash
alone. This would provide a somewhat clearer picture of the absolute effect of
the 4th wash, the 21 HC1 solution which was intended to shock the membrane
electrical potential allowing materials in the cytoplasm to flow out.
The first water wash removed the most ^C-atrazine. jhe surfactant
wash removed very little additonal herbicide and may just represent a carry-over
phenomenon from the first wash water. However, the acid wash did remove a
substantial amount of **C-atrazine. The percentages 1n parentheses 1n Table 2
after the atrazine quantities indicate herbicide removal relative to the total
internal concentration (no percentages are given for the first wash due to
the variability of the amount of carry-over water from the incubation solutions).
The low percentage removed by wash |3 (just water) over the range of atrazine
concentrations tested indicates the thoroughness of the previous washes in
removing externally sorbed atrazine.
The exact physio-chemical mechanisms of atrazine removal brought about
by the acid wash and the ^ocdMon of the atrazine within the plant material
are open questions. One explanation is that atrazine is hydrolyzed to hydroxy-
atrazine by acid pH, facilitating the dissolution of this compound, which is
relatively more polar than atrazine. Therefore, the observed release of 14C-
atrazlne (ring-labelled) could have been an observation of l^C-hydroxyatrazine
going into solution only. Nevertheless, the high percentage of ^C-atrazlne
removed by the acid wash (371) does indicate that a substantial quantity of
atrazine sorbed by the plant material 1s located superficially.
Photosynthetic Recovery
The photosynthetlc recovery of £. perfpliatus occurs as rapidly as uptake
and release of atrazine. In both experimental procedures, the plants recovered
to greater than 751 of their maximum photosynthetlc potential within the
measured time of 2-3 h (Fig. 4a,b). A rapid rate of recovery was apparent
within the first 2 h, with a slower recovery occurring over the next 10-80 h.
Although a SNK test shows no significant difference (p<.05) between the means
after 2-3 h, a slow but steady Increase in photosynthesis is evident (the
reason for the drop in photosynthesis seen in the 0.025 ppm treatment (Fig. 4a)
is unknown. However, as seen in Fig. 4a, photosynthesis is still depressed
in the low volume wash experiment after 24 hours (a significant difference at
p<0.25 at all concentrations). Even after 77 h of flushing in the large
volume experiment photosynthesis is still less than control plants in the
.10 ppm treated plants (Fig. 4b). However, analysis of the plants in the
first recovery procedure exposed to 0.10 ppm of ^4C-atrazine indicated that
they contained no significant quantity of *4C at the end of 24 h of flushing.
Cunningham et al. (1982) observed a partial recovery of photosynthesis by
IV-12
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TABLE 2. The quantity of 14C-atrazine (pg) removed from_P. perfoliatus
by the various washes following the four-hour Incubation period. ™
Atrazlne Solution
Concentration
0.01
0.05
0.10
0.45
0.65
"Numbers in parentheses
11
Water
0.14
0.10
0.26
1.14
1.54
are the pen
#2
Surfactant
0.01 (3)a
0.03 (5)
0.09 (11)
0.38 (16)
0.41 (13)
:ent of total f^a
#2
Water
0.00 (0)
0.00 (0)
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nt 14C-atrazine
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0.02 (5)
0.18 (29)
0.29 (37)
0.45 (19)
0.60 (19)
removed.
IV-13
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TREATMENT TIME SINCE INITIAL TREATMENT(h)
Fig. 4. Photosynthetic recovery by P. perfoliatus following a 2 hour
dosing period with 0.005, 07025, and 0.100 ppm atrazine determined
over (a) 24 hours, and (b) 77 hours (x ± S.D.).
IV-14
-------
P. perfoliatus after the initial atrazine dosing in their microcosm study. In
Their study, however, the recovery (Pa as measured by oxygen changes in the
microcosms) occurred 1 wk after dosing (0.13 ppm) while atrazine was still
present in the microcosm water (the atrazine concentration declined only 15%
during the 4 wk post-treatment period). Although the experimental conditions
of their system and those of the present study were quite different, the combined
results do indicate the resilience of_P. perfoliatus to atrazine exposure.
CONCLUSIONS
The results obtained in this study indicate that Potamogeton perfoliatus
is a relatively sensitive plant to atrazine (150 = 0.075 ppm) when grown at 10 ppt
salinity. Root uptake of atrazine was small in relation to shoot uptake (~6
percent of shoot), and therefore, when considering short term photosynthetic
depression in SAV species, it is the atrazine in solution around the plant
shoots which is of most concern. Uptake and release of atrazine is rapid
(ca. 1 h), but there is an indication of some residual photosynthetic inhibi-
tion as long as 77 h following dosing eventhough no detectable atrazine could
be found in the plants.
The sorption of atrazine to SAV surfaces (as well as algal surfaces) leads
to amounts of atrazine associated with aquatic plant materials in higher
concentrations than that observed in the adjacent waters. This conceivably
could serve as a mechanism for bioaccumulation of atrazine in aquatic food
webs. However, Davis et al. (1979) in a study of the fate of atrazine in a salt
marsh ecosystem found no accumulation of atrazine in the animals (e.g., crabs,
snails) allowed to graze the dosed systems.
In regard to the role of atrazine in the decline of SAV in the Chesapeake
Bay, it would appear from these data and the observed concentrations of atra-
zine in the Bay that photosynthetic losses would be ephemeral allowing the
plants to recover. The rapid degradation of atrazine in estuarine environments
(Jones et al. 1982) along with sorption to sediment and dilution through tidal
actions would keep SAV species from being exposed to lethal concentrations of
the herbicide. However, the ultimate effects of the presence of atrazine in
the water and the associated short-term photosynthetic losses on the biology of
tine plants is unknown. Especially of concern is any effect on reproductive
success.
IV-15
-------
REFERENCES
1. Bayley, S., Stotts, V.D., Springer, P.P., and J. Steenis. 1978. Changes
in submerged aquatic macrophyte populations at the head of the Chesapeake
Bay, 1958-1975. Estuaries 1:74-75.
2. Bohn, H.H. and H. Muller. 1976. Model studies on the accumulation of herbi-
cides by microalgae. Naturiwissenschaften 63:296.
3. Correll, D.L., Pierce, J.W., and T.L. Wu. 1978. Herbicides and submerged
plants in the Chesapeake Bay. Pages 858-877 j_n Proc. Symp. on Technicol.,
Environmental, Socio-economical, and Regulatory Aspects of Coastal Zone
Management. Am. Soc. Cw. Eng.
4. Correll, D.L. and T.L. Wu. 1982. Atrazine toxicity to submersed vascular
plants in simulated estuarine microcosms. Aquatic Bot. (In press).
5. Cunningham, J.J., Kemp, W.M., Stevenson, J.C., and M.R. Lewis. 1982. Pat-
terns of ecological and physiological response and recovery of the sub-
merged macrophyte, Potamogeton perfoiliatus exposed to atrazine stress in
estuarine microcosms^Report to U.S. EPA, Annapolis, MD.
6. Davis, D.E., Weete, J.D., Pillai, C.G.P., Plumley, F.G., McEnerney, J.T.,
Everest, J.W., Truelove, B., and A.M. Diner. 1979. Atrazine fate and
effecgts in a salt marsh. EPA report no. 600/3-79-111. 84 pp.
7. Forney, D.R., and D.E. Daves. 1981. Effectgs of low concentrations of herbi-
cides on submersed aquatic plants. Weed Sci. 29:677-85.
8. Funderburk, H.H. Jr., and J.M. Lawrence. 1963. Absorption and translocation
of radioactive herbicides in submersed and emersed aquatic weeds. Weed
Res., 3:304-311.
9. Geller, A. 1979. Sorption and desorption of atrazine by three bactgerial
species isolated from aquatic systr.ms. Arch. Environ. Contam. Toxicol.
8:713-720.
10. Izawa, S. and N.E. Good. 1965. The number of sites sensitive to 3-(3,4-
dichlorophenyl)-l,l-dimethyurea,3-(4-chlorophenyl)-l,l-dimethylurea
and 2-chloro-4-(2-propylamino)-6-ethylamino-s-triazine in isolated
chloroplasts. Biochim. Biophys. Acta 102:20-78.
IV-16
-------
11. Jones, T.W., Kemp, W.M., Stevenson, J.C. and J.C. Means. 1982. Degrada-
tion of atrazine in estuarine water/sediment systems and soils. J. Environ.
Qual. 11:632-638.
12. Kemp, W.M., Means, J.C., Jones, T.W., and J.C. Stevenson. 1982. Herbicides
in Chesapeake Bay and their effects on submerged aquatic vegetation.
Univ. Maryland Centr. Environ. Est. Stud. Ref. No. 1295-HPEL.
Horn Pt. Env. Labs., Cambridge, Md. 82 pp.
13. Lewis, M.R., Kemp, W.M., Cunningham, J.J., and J.C. Stevenson. 1982. A
rapid technique for preparation of aquatic macrophyte samples for measuring
14C incorporation. Aquatic Bot. 13:203-207.
14. Muir, D.C.G., Yoo, J.Y., and B.E. Baker. 1978. Residues of atrazine and N-
de-ethylated atrazine in water from five agricultural watersheds in Quebec.
Arch. Environ. Contam. Toxicol. 7:221-224.
15. Pfister, K., Steinback, K.E., Gardner, G., and C.J. Arntzen. 1980. Identi-
fication of the photosystem II Herbicide binding protein. PI. Physiol
65(6): Supplement, Abstr. No. 48.
16. Stevenson, J.C. and N.M. Confer. 1978. Summary of available information on
Chesapeake Bay submerged vegetation. U.S. Department of Interior, Fish
and Wildlife Service. (FWS/OBS-78/66). Washington, D.C. 335 pp.
17. Sutton, D.L. and S.W. Bingham. 1968. Translocation patterns of simazine in
Potamogeton crispus L. Proceed. N.E. Weed Control Conf. 22:357-361.
18. Tischer, W. and H. Strotmann. 1977. Relationship between inhibitor binding
by chloroplasts and inhibition of photosynthetic electron transport.
Biochem. Biophys. Acta 460:113-125.
19. Thomas, T.M. and D.E. Seaman. 1968. Translocation studies with Endothal-14C
in Potamogeton nodosus Poir. Weed Res. 8:321-326.
20. Triplett, G.B., Conner, B.J., and W.M. Edwards. 1978. Transport of atrazine
and simazine in runoff from conventional and no-tillage crops. J.
Environ. Qual. 7:77-84.
21. Vallentine, J.P. and S.W. Bingham. 1976. Influence of algae on amitrole and
atrazine residues in water. J. Can. Bot. 54:2100-2107.
22. Weber, J.B., S.B. Weed, and T.M. Ward. 1969. Adsorption of ^-triazines by
soil organic matter. Weed Sci. 17:417-421.
23. Wu, T.L. 1980. Dissipation of the herbicides atrazine and alachlor in a
Maryland corn field. J. Environ. Qual. 9:459-465.
IV-17
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CHAPTER V
UPTAKE AND °HYTOTOXICITY OF SOIL-SORBED ATRAZINE
FOR THE SUBMERGED AQUATIC PLANT, POTAHOGETON PERFOLIATUS.
T.W. Jones1'2
P.S. Estes2
Salisbury State College
Department of Biological Sciences
Salisbury, MD. 21801
20regon State University
Department of Zoology
Corvalis, Oregon 97331
V-i
-------
ABSTRACT
The effect of atrazine-sorbed soil on photosynthesis in Potamogeton per-
foliatus was investigated under laboratory conditions. Leaves simultaneously
exposed to atrazine both in solution and sorbed to soil sedimented on the
leaves exhibited a similar uptake of atrazine and associated photosynthetic
reduction as did leaves exposed to the same concentration of atrazine in solu-
tion only. A small quantity of atrazine (0.19 ug/gdw leaf) was found in
leaves treated with atrazine-sorbed soil at 120 ppb whereas a significantly
larger amount (3.57 yg/gdw leaf) was present in leaves treated with dissolved
atrazine at a concentration of 100 ppb. Based on these results, it is con-
cluded that atrazine sorbed to soil is less available for uptake by aquatic
plants than atrazine in solution. Of greater physiological concern is the
physical presence of the soil on the leaves and the resultant attenuation of
licht.
V-l
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INTRODUCTION
The ecological effects of herbicide runoff into estuarine aquatic environ-
ments like the Chesapeake Bay have received considerable attention recently
with a special emphasis toward the impctct on submerged aquatic vegetation
(SAV) (Stevenson and Confer 1978, Cornell et al. 1978). Triazine herbicides
such as atrazine (2-chloro-4-ethylamino-6-isopropylamino-s-triazine) are
relatively mobile in the soil (Wauchope and Leonard, 1980J and do move from
agricultural fields. It has been observed that approximately 1% of the atrazine
applied to a field may ultimately enter nearby aquatic systems (Muir et al.,
1978; Triplett et al., 1978; Wu, 1980), most of which occurs during the first
major storm event following application (Muir et al., 1978; Triplett et al.,
1978; Wauchope, 1978). This runoff can result in dissolved atrazine concentra-
tions ranging from less than 1 to 100 ppb in adjacent waters (Frank et al.,
1979; Frank and Sirons, 1979; Wu, 1980; Hershner et al. 1981).
The partitioning of atrazine between the dissolved phase and the soil-
sorbed phase in the run-off component may be of key importance as to the avail-
ability of the herbicide for uptake by SAV species. Although the partition
coefficient (Kd = sorbed concentration * dissolved concentration at ecutlibrium)
for atrazine is variable due to soil parameters (most notably organic matter,
pH, and clay content), average values for many agricultural soil types are
usually between 1-5 (Talbert and Fletchall, 1965). Partition coefficients of
1-4 have also been reported for estuarine sediments (Means et al., 1980).
However, substantially higher Kd values (5-260) for suspended sediment in
run-off have been calculated (Correll and Wu, 1982). Since the Kd values are
routinely greater than 1, there is the potential for concentration of atrazine
within the suspended particulate fraction of field run-off material. The
accumulation of this atrazine-sorbed sediment produces a microenvironment on
SAV leaf surfaces that theoretically could result in a high concentration of
atrazine in the interstitial water of that sediment. Therefore, it has been
suggested that atrazine sorbed to suspended particulates may, in effect,
result in SAV exposure to elevated herbicide concentrations by sedimentation
of this material onto leaf surfaces (Correll and Wu, 1982).
This research was initiated to examine the extent of uptake of atrazine
in P_. perfoliatus when the soil-sorbed herbicide is placed on plant leaves.
Atrazine uptake and the resulting photosynthetic depression in £. perfoliatus
leaves werrt investigated under the following conditions: 1) atrazine in solu-
tion and on the overlying soil, 2) atrazine in solution only, 3) atrazine on
the overlying soil only.
V-2
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MATERIALS AND METHODS
Sorption - Desorption of Atrazine on Soil
The soil used throughout this study was Mattapex silt-clay collected from
an agricultural field that had not been tilled for four years. Two particle
size classes were tested for their sorptive properties. Che class contained
particles which passed through a 105 u sieve, but not through a 74 urn sieve.
The other contained particles which would pass through a 74ym, but not a
53ym sieve. These sizes were chosen because they could be suspended in a column
of water and yet would settle out within five minutes, suggesting that when
suspended in an aquatic environment, these particles might easily settle on
the leaves of submerged macrophytes.
Sorption of atrazine was examined at a water:soil ratio of 5:1 using five
concentrations of uniformly ring-labelled 14C-atrazine in methanol (10, 50,
100, 500, 1000 ppb). Two-gram soil samples were added to 16 x 150 mm glass
screw cap tubes to which 10 ml of atrazine solution was then added. The soil
samples were allowed to equilibrate for 6 hours on a mechanical shaker at room
temperature after which they were centrifuged. One-mi supernatant water samples
were taken from each tube and placed into 10 ml of Aquasol-2 (New England
Nuclear) for counting on a Packard Tri-Carb Model 460C Liquid Scintillation
spectrometer. The difference between the amount of atrazine originally in
solution and the amount remaining in solution after incubation was assumed to
be the amount sorbed to the soil.
After water samples were removed from the tubes, the remaining supernatant
was aspirated off and replaced with 10 ml of deionized water. The tubes were
shaken for 2 hours, centrifuged, and sampled as before to determine the amount
of atrazine which had desorbed from the soil. This entire procedure was repeated
to determine second-degree desorption. Wet weights and then dry weights of the
soil samples were taken to determine the interstitial water volume which was
used to correct desorption values.
Plant Preparation
Potampgeton perfoliatus (L) plants were collected from shallow waters of
the Choptank River estuary just prior to each experiment. Epiphytes and sedi-
ments were removed from the leaves manually and selected leaves from the ter-
minal 20 cm of at least 10 different plants were removed from the stems and
placed in filtered (.45 urn) Choptank water.
Leaves were arranged in four rows on a rack consisting of a ring of PVC
pipe (150 mm inside diameter, 43 mm high) with a black plastic mesh (2.75 mm)
bottom with three supporting legs (15 mm high). Four strands of monofilament
V-3
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In Treatment #2 leaves were exposed to 120 ppb atrazine on the soil with
no atrazine in solution. The other two bowls were identical to those in Treat-
ment #1. In Treatment #3, soil was applied without sorbed atrazine (me:hanol
served as a vehicle control), however, the water did contain 100 ppb atrazine.
Again the other bowls were identical to Treatments #1 and #2.
RESULTS & DISCUSSION
The two particle size classes of Mattapex silt-clay examined for use in
this study exhibited similar adsorptive (Fig. 1) and desorptive (Fig. 2) char-
acteristics. Ultimately, the larger size class (<105ym, >74ym) was chosen
over the smaller (<74um, >53ym) because the former has a greater tendency
to remain settled on £. perfoliatus leaves during the experimental procedures.
This larger size class has a partition coefficient (K/) for atrazine of 1.2
(rz = .99).
The importance of achieving a uniform distribution of soil over the leaves
of a plant and the necessity of being able to apply and recover known quantities
of soil was addressed by the use of detached leaf experiments. Atrazine uptake
rates (in dissolved phase) by attached and detached leaves of £. perfoliatus
were not significantly (p<0.05) different. The mean uptake of atrazine at a
dissolved concentration of 120 ppb (ug atrazine/gdw leaf) for attached
leaves was 6.31 ± 1.32 (x ± S.D.) and 5.97 ± 1.51 for detached leaves.
However, attached leaves did exhibit a higher mean photosynthetic rate (10.74 ±
2.01 mgC/gdw/hr) than did detached leaves (6.94 ± 1.93 mgC/gdw/hr). Since
only relative photosynthetic differences among treatments was considered to be
of importance here, this photosynthetic rate difference was of no consequence.
The results of experiments on atrazine uptake by leaves of !P. perfoliatijis
from sorbed-soil versus aqueous solution indicate the relative low availability
of soil-sorbed atrazine for plant uptake (Fig. 3). In Treatment 1, leaves that
were exposed to atrazine-sorbed soil and dissolved atrazine simultaneously
(at the proper K^ = 1.2) exhibited no significant difference (p<.01) in
uptake from leaves exposed to dissolved atrazine only (3.32 ± 0.31 versus
3.58 ± 0.21 u9 atrazine/gdw leaf, respectively). When leaves were exposed
to atrazine-sorbed soil only (Treatment 2), uptake was minimal (0.19 ± .03 ug/gdw)
as compared with uptake by leaves without soil exposed to an equal concentra-
tion of dissolved atrazine (3.57 ± .11 ug/gdw). The physical presence of
soil overlying the leaves did not impede or promote the uptake of atrazine
from solution (Treatment 3). The uptake by leaves with applied soil (no atra-
zine) and exposed to dissolved atrazine alone did not significantly differ
(P<.01) from the atrazine uptake by leaves without soil exposed to issolved
atrazine (4.55 ± .013 and 4.31 ± .06 wg atrazine/gdw, respectively).
The results obtained in the atrazine-sorbed soil treatments above are
consistant with reported atrazine adsorption-desorption kinetics in relation
to waterrsediment ratios. As this ratio decreases, atrazine sorption to the
same sedimert (same K^) increases (Laskowski et al. 1980), The waterrsediment
ratio in the microenvironment of pore-waters between adjacent sediment particles
accumulates on SAV leaf surfaces would be extremely low causing the atrazine
V-4
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DESORPTION DESORPTION
Figure 2. Atrazine desorption from Mattapex silt-clay at a water:soil
of 5:'. Error bars represent range between the particle sizes uses
(53-74 y and 75-105 u).
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Figure 3. Atrazine uptake in leaves of P. perfoliatus from atrazine-
sorbed soil and from solut1on~(* ± S.D.).
V-7
-------
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to remain sorbed to the sediment. However, the upper surfaces of the accumu-
lated sediment would be exposed to the larger volume of water in the system
and the atrazine would desorb accordingly.
The photosyr.thetic response of £. perfpliatus leaves to shading by varied
amounts of applied soil (0 to 9.93 g soil/gdw leaf) was quite variable (Fig.
4) and non-linear, appearing not to increase past about 4 g soil/gdw leaf at
which point the mean photosynthetic reduction was 28%. When atrazine and sur-
face soil are present in a system, the resulting photosynthetic reduction is
due to both physical shading of the leaves by the soil and to the presence of
atrazine (dissolved and/or sorbed to the soil). The mean value of 28% photosyn-
thetic reduction brought about by surface soil in the range of 4-10 g soil/gdw
leaf Fig. 4) was subtracted from the total photosynthetic reduction derived
experimentally to obtain the reduction due to atrazine alone (Table 1). When
atrazine was present in solution, the resulting photosynthetic reduction
ranged from 52 to 69%. Additional atrazine sorbed to the surface soil did not
seem to result in any additive photosynthetic reduction. Also, when atrazine
was introduced on the soil only, very little photosynthetic reduction resulted,
again indicating that atrazine-sorbed soil was not taken up by the leaves of
_P. perfoliatus.
It appears that the most important effect of soils (with or without atra-
zine) on plant leaves is attributable to the physical presence of sediment on
leaf upper surfaces. Published data on the effects of sediment on SAV leaf
surfaces on photosynthesis is wanting. However, data on epiphyte biomass on
SAV leaves are available. Epiphytes exert a similar influence on SAV species
as does settled soil in that they attenuate light. It has been shown that
light to the leaf surface of Zostera maximum can be reduced by 90% by natural
epiphytic growth (Phillips et al. 1978, Borum and Wium-Andersen 1980) and
photosynthesis in Zostera can be reduced by as much as 31% (Sand-Jensen
1977) by overlying epiphytes. Twilley et al. (1982) found a 27% reduction 1n
SAV photosynthesis with epiphyte communities of 6.13 grams dry wt epiphyte
per gram dry wt SAV. These values are surprisingly close to the maximum
amounts of soil (4-9 grams per gram dry wt leaf) applied to the leaves of the
present study and the average SAV photosynthetic reduction calculated (27%,
Table 1). Apparently densities of naturally occurring epiphytes of the same
weight as soil on leaf surfaces correlate well in relation to photosynthetic
reduction.
In conclusion, it would appear from the data of this study that soil-
sorbed atrazine is relatively unavailable for uptake by £. perfoliatus. De-
sorption of atrazine from soil is rapid, and therefore, 7t is likely that the
soil deposited on SAV leaves would have an atrazine concentration in equili-
brium (K^) with the water. Forney and Davis (1981) came to a similar conclusion
following their study of 4 Chesapeake Bay SAV species and atrazine. They too
found that atrazine uptake from the water was tht main mode of entry of the
herbicide into the plant. Furthermoie, atrazine degrades more rapidly to
hydroxyatrazine (nonphytotoxic) when it is in close proximity to soil surfaces
(Armstrong and Chesters 1968) so that the soil on leaf surfaces could even
serve to detoxify atrazine.
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REFERENCES
1. Armstrong, D.E. and G. Chesters. 1968. Adsorption catalyzed chemical
hydrolysis of atrazine. Environ. Sci. Technol. 2:683-689.
2. Borum, J. and S. Wiurn-Andersen. 1980. Biomass and production of epiphytes
on eelgrass (Zostera marinum L.) in the presund, Denmark. Ophelia
1:57-64.
3. Correll, D.L., Pierce, J.W., and T.L. Wu. 1978. Herbicides and submerged
olants in the Chesapeake Bay. Pages 858-877 jji Proc. Symp. on Technical,
Environmental, Socio-economical, and Regulatory Aspects of Coastal Zone
Management. Am. Soc. Av. Eng.
4. Correll, D.L. and T. Wu. 1982. Aquatic toxicity to submerged vascular
plants in simulated estuarine microcosms. Aquatic Botany (In press).
5. Frank, R., and G.J. Sirons. 1979. Atrazine: It's use in corn production
and its loss to stream waters in southern Chtario, 1975-1977. The Science
of the Total Environment. 12:223-239.
6. Frank, R., G.J. Sirons, R.L., Thomas, K. McMillan. 1979. Triazine residues
in suspended soilds (1974-1976) and water (1977) from the mouths of Cana-
dian streams flowing into the Great Lakes. Internat. Assoc. Great Lakes
Res. 5(2):131-138.
7. Hershner, C., Ward, K., and J. Illowsky. 1981. The effects of atrazine on
Zostera marina 1n the Chesapeake Bay, Virginia. Interior report, EPA
contract #R805953, Annapolis, MD. 169 pp.
8. Laskowski, D.A., and P.O. McCall. 1980. Determination of sorption constants
in soil and sediments. (Unpublished manuscript).
9. Means, J.C., T.W., Jones, T.S. Pait, R.D. Wijayaratne. 1981. Adsorption
of atrazine on Chesapeake Bay sediments and selected soils. In: Submerged
aquatic vegetation in Chesapeake Bay: Its ecological role inTay ecosystems
and factors leading to its decline. Kemp, W.M., J.C. Stevenson, W. Boynton,
and J.C. Means (Eds.) Submitted to Chesapeake Bay Program USEPA, Annapolis,
Maryland. Ref. #UMCEES 81-28 HPEL.
10. Muir, D.C.G., J.Y. Yoo, B.E. Baker. 1978. Residues of atrazine and N-
deethylated atrazine in water from five agricultural watersheds in Quebec.
Arch. Environm. Contarn. Toxicol. 7:221-235.
V-10
-------
11. Phillips, G.L., Eminson, D., and B. Moss. 1978. A mechanism to account for
macorphyte decline in progressively eutrophicated freshwters. Aquatic
Bot. 4:103-126.
12. Sand-Jen-.en, K. 1977. Effect of epiphytes on eelgrass photosynthesis.
Aquatic Bot. 3:55-63.
13. Stevenson, J.C. and N.M. Confer. 1978. Summary of available information
on Chesapeake Bay submerged vegetation. U.S. Dept. of Interior.
14. Talbert, R.E., and C.H. Fletchall. 1965. The adsorption of some s-atrazines
in soils. Weeds 13:46-52. ~
15. Triplett, G.B., Jr., B.J. Conner, W.M. Edwards. 1978. Transport of atra-
zine and simazien in runoff from conventional and no-tillage corn. J.
Environ. Qual. 7(l}:77-84.
16. Trfilley, R.R., W.M. Kemp, K.W. Staver, W.R. Boynton, J.C. Stevenson.
1982. Effects of nutrient enrichment in experimental estuarine ponds
containing submerged vascular plant communities. EPA Report, Grant No.
R805932-01-1, Annapolis, Md.
17. Wauchope, R.D. 1978. The pesticide content of surface water draining from
agricultural fields - A review. J. Environ. Qual. 7(4):459-472.
18. Wauchope, R.D., and R.A. Leonard. 1980. Maximum pesticide concentrations
in agricultural runoff: A semi empirical prediction formula. J. Environ.
Qual. 9(4):665-672.
19. Wu, T.L. 1980. Dissipation of the herbicides atrazine and alachlor in a
Maryland corn field. J. Environ. Qual. 9(3):459-465.
V-ll
-------
CHAPTER VI
DEGRADATION OF ATRAZINE IN
ESTUARINE WATER/SEDIMENT
SYSTEMS AND SOILS1
T. W. Jones2
W. M. Kemp3
J. C. Stevenson3
J. C. Means4
Contribution No. 1341 of the
University of Maryland Center for
Environmental and Estuarine Studies
2Assistant Professor
Salisbury State College
Salisbury, Maryland 21801
and
Visiting Assistant Professor
Horn Point Environmental Laboratories
Cambridge, Maryland 21613
3Assistant Professor
Horn Point Environmental Laboratories
Cambridge', Maryland 21613
**Ass1stant Professor
Chesapeake Biological Laboratory
Solomons, Maryland 20688
Vl-i
-------
ACKNOWLEDGEMENTS
The authors acknowledge J. Metz and N. Kaumeyer for assistance 1n sample
analysis, and Drs. Larry Ballantine and Lloy Newby of the CIBA-GEIGY Corpora-
tion, Agricultural Division, Greensboro, N.C. 27409, for analytical advice and
atrazine compounds. This work was supported by the US Environmental Protection
Agency grant #R 805932-01-1 through the Chesapake Bay Program.
VI-11
-------
i
ABSTRACT
Herbicides have been postulated as a cause of the disappearance of sub-
merged aquatic vegetation in the Chesapeake Bay. This research was undertaken
to determine the longevity of 2-chloro-4-ethylamino-6-isopropylamino-£-
triazine (atrazine) in two estuarine water/sediment microcosm systems and two
agricultural soil systems over an 80-day period under aerobic and low-oxygen
conditions. Atrazine degradation proceeded more rapidly in the estuarine sys-
tems than in the soil systems. The disappearance of atr^p.^ from the estua-
rine water was relatively rapid with the half-life (50% remaining in the
wat^r column) of the parent compound ranging from 3-12 days. Atrazine half-
life was determined to be 15 and 20 days for the two estuarine sediments and
330 and 385 days for the two agricultural soils. Hydroxyatrazine (2-hydroxy-
4-ethylamino-6-isopropylamino-_s-triazine) was the major short-term metabolite
in both the estuarine and terrestrial systems. By the 21st day of the experi-
ment, the % rjf total extracted residues corresponding to atrazine, and hy-
drcxyatrazine, were: 65, 20 and 10, 85, for the two estuarine systems; and
66, 29, and 93, 5 for the two soil systems. Decreased oxygen levels had
little effect on atrazine degradation in the experimental systems. The rapid
degradation of atrazine to hydroxyatrazine in estuarine water and sediment
indicates a low probability for the accumulation of atrazine in the estuary.
Additional index words: Herbicide, estuarine, decomposition, sorption, half-
life, metabolites
VI-1
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INTRODUCTION
Over the last several decades agricultural production in the United
States increased largely through the development of efficient cropping
methods (26). Among the more important factors contributing to improved agri-
cultural yields, has been the extensive use of herbicides for weed control.
Atrazine (2-chloro-4-ethylamino-6-isopropylamino-js-triazine) a compound used
to control broadleaf weeds, has found widespread application for corn and
sorghum crops since its introduction in 1958, and it is currently being
tested for pine plantations (6).
Invariably a fraction of the herbicide applied to agricultural fields is
transported to watercourses via surface runoff and groundwater interflow. Atr-
azine and its metabolites have been observed in freshwater streams contiguous
to agricultural land where it was found that from about 0.1% to 3.0% of the
atrazine placed on the fields is lost to the aquatic environment (9, 10, 18).
Most research concerning herbicide losses from agricultural soils has been
conducted at inland sites; however, a few recent studies have focused on the
coastal plain. For example, Wu (28) has reported a leakage rate of 1% for
atrazine in a Chesapeake Bay watershed, producing aqueous concentrations
averaging 17 ppb.
The effect of these herbicides on non-target species of aquatic organ-
isms is of ecological concern. Generally, concentrations of atrazine in the
range of those observed in runoff are potentially toxic to a variety of estua-
rine plants (3, 11, 24). A key factor contributing to the phytotoxicity of a
herbicide such as atrazine is its longevity or rate of degradation. Atrazine
sorption and degradation is influenced by pH, temperature, and soil moisture,
as well as clay and organic content of soils (1, 14, 25). Apparently, atra-
zine persists in most soil environments for a relatively long duration, with
a half-life exceeding one year under some conditions.
While Goswarni and Green (8) had suggested that the relatively high pH of
estuarine and coastal environments (> 7.0) would cause atrazine degradation
to be slowed, little empirical evidence has been available to substantiate
this hypothesis. Some preliminary results indicate that degradation of atra-
zine may proceed quite rapidly in a slightly brackish environment (2). How-
ever, their experimental system did not make direct comparison to soil
systems.
The purpose of this study was to investigate atrazine sorption and degra-
dation in estuarine water and sediments, as well as terrestrial soils, under
a range of environmental conditions in the same experimental design.
VI-2
-------
MATERIALS AND METHODS
Sediment/Soil Samples
Water and surface sediments (top 30 cm) were collected from inshore loca-
tions in early July 1979, to represent two salinity and geographical areas of
the Upper Chesapeake Bay region. The Tangier Sound sample, 15 parts per
thousand salinity, represented an open bay site while the Choptank Estuary
sample, 8 parts per thousand salinity, was hydrographically more protected.
The estuarine waters were filtered (0.45 ym) and the estuarine sediments
sieved (2 mm) and kept moist at 5 C.
Two soils common to the Eastern Shore watershed of the Bay were col-
lected at the same time for direct comparison of degradation rates in terres-
trial environments. Sassafras sandy loam (Typic Hapludult), a well drained
upland soil and Mattapex silty loam (Aquic Hapludult), a poorly drained low-
land soil, were obtained (top 30 cm) from sites where atrazine had not been
applied for over 3 yrs. The physical characteristics of the sediments and
soils in this study are listed in Table 1. The soils were also sieved (2 mm)
and held at 5 C at their ambient moisture content.
Atrazine Applications and Sampling
For the estuarine samples, 600 g of wet-sediment (40% water, by weight)
and 500 ml of water from the respective sampling areas were added to each of
6 flasks (2 «,), 3 of which remained open to the atmosphere via a cotton-
stoppered glass tube through a rubber stopper (aerobic) and the other 3
sealed with rubber stoppers (low-oxygen). The sediments were treated with uni-
formly ring-labeled atrazine (50 yCi/mg, 95% purity) by the introduction of a
slurry containing 1 g of the respective sediment type and 5 yCi (100 mg) of
C-atrazine in methanol yielding an initial atrazine concentration in each
flask of 0.10 ppm (water and sediment). All the flasks were maintained in a
water bath at ambient Choptank River temperatures (12-35 C) in full sunlight
starting in mid-July 1979 and ending in late October 1979. At each sampling
period (days 1, 7, 14, 21, 28, 45, 59, and 80), 1 ml of water from each flask
was passed through a 0.45 m syringe filter directly into a scintillation ,.
vial containing 10 ml of Aquasol-2 (New England Nuclear) to determine the C
activity in the aqueous fraction. The filter was.then placed in another scin-
tillation vial with Aquasol-2 to determine the C present in the suspended
particulate fraction.
A 5 ml water sample was also taken from each flask at each sampling
period and extracted twice with a total of 10 ml of chloroform. The chloro-
form (non-polar) extract and the residual 5 ml of water (polar) were evapo-
rated at room temperature and stored at -b C until analyzed for the parent
compound and its major metabolites.
VI-3
-------
f:
TABLE 1. Physical and chemical characteristics of sediments and soils.t
Sediments
CHOPTANK
TANGIER
_So11s_
SASSAFRAS
MATT APEX
Organic
pH Carbon Sand Silt
%
5.4 0.55 49 34
4.4 0.85 59 28
5.5 0.91 69 14
6.4 0.92 16 52
Clay
17
13
17
32
tSediments and soils were seived to 2 mm prior to analysis.
VI-4
-------
Sediment (2 ± 0.5 g) was removed from each flask at each sampling period
using a 2 cm diameter glass corer. The sediment was placed into a glass vial
containing 5 ml of 10 % aqueous acetonitrile and stored at -5 C until ex-
tracted. Following sampling, each flask was lightly swirled to resuspend the
surface sediments.
A small quantity (3 mg) of uniformly ring-labeled C-atrazine (150 yci)
dissolved in 100 ml of methanol was applied to 600 g subsamples each of both
Sassafras and Mattapex soils and the methanol allowed to evaporate while the
soils were thoroughly mixed. From these subsamples, 100 g aliquots of each
soil was placed into flasks (2 I) containing 300 g of untreated soil, and the
flasks shaken vigorously. To simulate natural soil moisture conditions for
these two soils, water was added to the samples of Sassafras soil to bring
them to 60 percent water-holding capacity (17% water by weight) and to the
Mattapex soil to bring them to 100 percent water-holding capacity (50% water,
by weight). The atrazine concentrations in the flask were 6.4 and 5.0 ppm
(water and soil) for the Sassafras and Mattapex soils, respectively. Three of
the flasks for each soil type were maintained under aerobic conditions and
three under low-oxygen conditions as described for the estuarine flasks. All
flasks were held in full sunlight at ambient air temperature over the same
period as the estuarine flasks. The soil temperature reached a maximum of 6 C
higher than the external air temperature on the hottest day recorded -- 36 C.
At each sampling period (same as estuarine samples), a total of 2 t 0.5 g of
soil were removed from three different loc?tions in each flask and collec-
tively placed in a glass vial containing 5 ml of 10 % aqueous acetonitrile
and maintained at -5 C. (Flasks were weighed at each sampling period and water
added as necessary. The C loss due to evolution of C0« from metabolized
atrazine was not assayed.
Extraction From Sediment and Soil
The sediment and soil samples were refluxed in 20 ml of acetonitrile for
4 h. After refluxing, 1 ml aliquot from each extract was radioassayed for C
activity as described previously. The remaining acetonitrile was refrigerated
at -5 C until further analysis by thin layer chromatography (TLC). To deter-
mine extractability, selected sediment/soil samples previously, extracted by
acetonitrile were combusted usina.a Harvey oxidizer and the C0~ trapped in
Oxifluor (New England Nuclear). C-glucose standards were combusted to estab-
lish instrument efficiency.
Thin Layer Chromatographic Analysis of Residues
The dried chloroform and water extract residues were dissolved in 0.2 ml
of chloroform and 0.2 ml of methanol, respectively, and spotted on 20 x 20
glass plates with a 250 ym layer of silica gel 60 F-254. The plates were de-
veloped to a 15 cm-solvent front in benzene-acetic acid-water (60:40:3.
v/v/v). Atrazine, and three of its major degradation products, 2-chToro-4-
amino-6-i sopropylamino-s-tri azine (N-de-ethylated), 2-ch1oro-4-ethylamino-6-
amino-£-triazine (N-de-Tsopropylated), and 2-hydroxy-4-etnylamino-6-
isopropylamino-£-triazine (hydroxyatrazine), were co-chromatogramed on each
plate. Location of the standard compounds was determined with an ultraviolet
lamp (254 nm) and location of the extracted compounds by autoradiography
VI-5
-------
using Kodak X-Omat R XR-5 film with an exposure time of 14 days. Typical RF
values of the standards were 0.90, 0.78, 0.74, and 0.25 for atrazine, N-de-
ethylated, N-de-isopropylated, and hydroxyatrazine, respectively (the ex-
tracted samples had Rf values slightly less than the standards possibly due
to retardation by salts in the extracted samples).
14
The C present in each spot appearing on the film was determined by re-
moving the silica gel from the plate (2 cm diameter) and placing it into
10 ml of Aquasol-2. The areas between the origin and hydroxyatrazine and be-
tween hydroxyatrazine and the N-dealkylat'id compounds were also removed and
counted separately. Since the RF values for the N-de-ethylated and N-de-
istpropylated daughter compounds were close (Rp of 0.78 and 0.74, respec-
tively), the silica gel from those areas was combined and termed the "dealky-
lated products." The acetonitrile extracts of the sediments and soils were
concentrated under low heat and spotted onto the TLC plates and processed as
above.
RESULTS AND DISCUSSION
^C-Atrazine Disappearance from the Mater
Atrazine removal from the water can occur via both sorption to the
sediment and degradation in the water to metabolic products which may
be sorbed on the sediment (Fig. 1). After atrazine sorption to sediments, the
compound could be degraded to metabolic compounds and subsequently desorbed
into the water column. This mechanism may be of some importance, since atra-
zine degrada-tion in sterile, filtered water systems has been shown to be ex-
tremely slow P, 2, 7). The dashed lines in Fig. 1 indicate the suspected
lesser significance of atrazine degradation in the water. Considering the
relatively short duration of our study period (80 days) and the reported slow
ring-cleavage of atrazine (5, 29), the evolution of CO- by biological degra-
dation was not mon-'tored.
14
The removal of C-activity from the water in both estuarine systems was
a relatively rapid process following first-order kinetics (Fig. 2). The
aerobic systems were found to have a significantly faster disappearance of
C activity from the water than the low-oxygen treatments (p<0.01). This sig-
nificance difference comes about mainly because of the slower removal of the
C-atrazine metabolites in the anaerobic systems after 21 d. This apparent
retardation of atrazine residue sorption to sediments due to low-oxygen
levels may be of significance in estuarine environments where the redox poten-
tial of surface sediments is low. Slowed sorption of atrazine residues out of
the water would increase the residence time of these compounds in the aqueous
environment permitting an increased uptake by planktonic organisms.
14
In addition, disappearance of C from the water in the Tangier systems
was significantly more rapid than in the Choptank systems (p<0.01). The ini-
tial removal rates (through day 21) for the 4 systems were 1.05, 1.04, 1.10,
and 1.07 %/d for the Choptank aerobic, Choptank low-oxygen, Tangier aerobic,
and Tangier low-oxygen systems, respectively. The half-lives of total atra-
zine residues in the water (based only on C activity) were 6 and 8 d for
the Tangier aerobic and Tangier low-oxygen systems, respectively, and 17 d
VI-6
-------
WATER
ATRAZINE
DEALKYLATED
ATRAZINE
Degradation
HYDROXY-
ATRAZINE
cb Sor ption
ATRAZiNE
-Degradation
DEALKYLATED
ATRAZINE
SEDIMENT.
HYDRJXY-
ATRAZINE
rJON-EXTRACTABLEV
ATRAZINE )
RESIDUES J.[
Figure 1. A conceptual model suggesting the fate of atrazine in the estuarine
water/sediment systems.
Ml-7
-------
CHOPTANK ESTUARY
LJ
H
80
60
40
> 20
!-
\
(a)
AEROB I C
\
\
LOW-OXYGEN
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20 40 60 0 20 40 60
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AEROBIC
Total Residues
1 i
l 1
(d )
LOW-OXYgcN
1 1
20 40
60
20 40 60
DAYS FROM START OF EXPERIMENT
Figure 2. The disappearance of total radioactivity and atrazine from estuarine
water.
VI-8
-------
t!
for the Choptank systems.
These rates of disappearance from the water were much more rapid than
those observed by Ballantine et al. (2) in their microcosn study, where they
found a half-life of 75 d for total C-atrazine residues in the water. The
periodic resuspension of the sediment at sampling times and the different
water to sediment ratio of the two studies (10:1 in Ballantine et al. vs.
2:1 in this study) may have produced faster disappearance rates. Decreases in
the water to soil ratio have been found to lead to increased sorption of atra-
zine (4).
Atrazine Degradation in Estuarine Water
A strong substrate-product relationship between atrazine and hydroxyatra-
zine was evident witii a low but relaJ'ively constant percentage of the C
activity associated with the dealkylated compounds in both salinity systems
(Fig. 3). Unlike the situation discussed above for the total residues
(Fig. 2), no significant difference (p<0.01) was observed for atrazine degra-
dation under different oxygen levels within salinity systems, but degradation
in the Tangier systems occurred significantly faster (p<0.01) than in the
Choptank systems. The average coefficient of variation for triplicate observa-
tions of % atrazine at each sampling time were 19.9, 25.7, 30.3, and 25.0%
for the Choptank aerobic, Choptank low-oxygen, Tangier aerobic, and Tangier
low-oxygen systems, respectively.
The composition of the total extract only (both chloroform and water
residual) is,represented by Fig. 3, and does not take into account the total
decrease of C activity in the water over time (Fig. 2). Therefore, the
half-life of atrazine in the water (including both sorption and degradation)
was 9 d for the aerobic and 12 d for the low-oxygen Choptank systems, while
being about 3 d for both Tangier systems. Again, these rates represent a more
rapid disappearance of atrazine from the water than observed by Ballantine
et al. (2), where they found the half-life of atrazine in the water to be
30 d.
14
The observed kinetics of the removal of total C from the water and the
degradation rate of atrazine in the estuarine systems may result from several
associated mechanisms: (1) The rapid hydrolysis of atrazine to hydroxyatra-
zine in the water linked to the greater sorptive properties of the relatively
polar hydroxyatrazine to soil (sediment) (5) would accelerate removal of C
from the water; and/or (2) C-labeled atrazine may be sorbed to sediments
initiating a rapid hydrolysis to hydroxyatrazine, whereupon the metabolite
desorbs back to the water (see Fig. 1). Catalysis of j>-triazines to hydroxy-
triazine has been shown to occur once the herbicide has been sorbed to clay
and organic matter surfaces (1, 20, 22). For example, Armstrong et al. (1)
found a 10-fold increase in the rate of atrazine hydrolysis when sterilized
soil was added to a solution containing atrazine, while Ballantine et al. (2)
detected essentially no atrazine degradation over a 4 mo.period in synthetic
seawater which contained no sediment. Geller (7) using C-atrazine in
sterile 0.02 M phosphate buffer (pH 7.2) found less than 5% of the atrazine
had degraded after 3 mo.
VI-9
-------
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Atrazine degradation was most rapid in tb* Tangier water (Fig. 3) con-
committant with the most rapid removal of total C from the water (Fig. 2).
Conversely, the Choptank water displayed a slower atrazine degradation and
sorption rate with a greater percentage of dealkylated products being
present. The distribution .-oefficients [K. = (yg/g adsorbed)/(yg/ml solu-
tion)] of the two sediment types used in She present study were 1.75 and 2.56
for the Choptank and Tangier sediments, respectively (16). The greater adsorp-
tive properties of the Tangier sediment correlates with the observed shorter
half-life of atrazine in the Tangier water in relation to the Choptank
tending to support the sorption-degradation-desorption mechanism.
Atrazine Degradation in Estuarine Sediment
14
The % of total C-atrazine associated with suspended particulate matter
(0.45 urn) in the water proved to be insignificant. The flasks remained undis-
turbed following sampling allowing,particulate matter to settle. Only . very
small (initially 10%) quantity of C was retained by the filters themselves,
and the magnitude of this residue diminished over time as the % of the more
polar hydroxyatrazine metabolite increased.
The rate of atrazine degradation and the appearance of the metabolic
products in the Tangier and Choptank sediments followed simple, first-order
kinetics, with the linearized (log^transformed) data producing highly signifi-
cant (p<0.01) regressions having r values in excess of 0.80. The distribu-
tion of residues over time followed a pattern similiar to the water (Fig. 4);
however, this data represents only the extractable portion of the total radio-
activity in the sediment. Extractability decreased over time (Table 2) paral-
lel to the kinetics of atrazine degradation to hydroxyatrazine for each sedi-
ment type. For example, the rate of hydroxyatrazine production increased with
the % of non-extractable C more rapidly in the Tangier than,the Choptank
sediment. By day 80 of the experiment, only 29% of the total C was extract-
able from the Tangier sediment, of which 90%.was hydroxyatrazine (Table 2,
; Fig. 4). On the same day, 37% of the total C was extractable from the,Chop-
tank sediment and of this 70% was hydroxyatrazine. The non-extractable C
atrazine activity most likely consists largely of further degraded metabo-
,; lites, as well as conjugates with soil organic matter (15). This view is sup-
j ported by the decrease in % of hydroxyatrazine in the Tangier aerobic system
• from day 14 (30%) to day 45 (16%) and the concommittant increases in non-
t extractable activity (57 and 75%, respectively). This suggests that the rela-
| tive availability of metabolic products for further degradation was greater
| earlier in the experiment for the Tangier system than for the Choptank. In
f the combined water/sediment Choptank system, the hydroxyatrazine % increased
from day 14 to day 45 (35 to 61%, respectively), re-emphasizing the rela-
tively slower degradation rates of that system.
A similar pattern was reported by Dao et al. (5) for 3 soils held at 0.1
bar moisture content at 30 C. They found that the extraction efficiency
ranged from 20 to 40% after 2 mo and that the major portion of the extract
was comprised of polar compounds (most likely hydroxyanalogs of atrazine).
Their extraction efficiencies compare well to the 30 to 40% extraction effi-
ciency found after 2.5 mo for the sediments in our study (Table 2). Ballan-
tine et al. (2), using a similar extraction procedure as in our study, found
that 53% of the radioactivity in the sediment was non-extractable after 1 mo.
VI-11
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EZ2 Atrazine Pa ren t
l-'-'-'-J Hydroxya t razi ne
H Oealkylated Atrazine
Figure 4. The percent composition of 14C-atrazine metabolites In the total extracted
residues from the estuarlne sediments.
VI-12
-------
TABLE 2. Extraction of ll»C-atrazine and Its metabolites with acetonitrile
from sediments and solls.t
Days
1
14
45
80
108
Sediment
Choptank
60
45
28
37
21
Source
Tangier
50
24
19
29
22
Soil
Sassafras
94
83
74
65
23
Mattapex
87
66
35
20
15
tData from aerobic samples only, determined by combustion.
VI-13
-------
A consideration in comparing the results of the Choptank and Tangier sys-
tems is that they may contain very different populations of microorganisms
with different atrazine degradation potential. The effect that environmental
factors might have on the distribution of fungi and bacteria, the major bio-
logical degradsrs of atrazine in the soi? (12, 13, 29), is not clear at this
time. Several fungal species isolated from the Chesapeake Bay may degrade
atrazine (Speedy, pers. com). Never-the-less, the low concentrations of deal-
kylated atrazine metabolites and the rapid appearance of hydroxyatrazine
would suggest a minor role for microorganisms in the degradation of atrazine
(23).
Atrazine Degradation in Soils
The apparent kinetics of atrazine degradation (considering only extract-
able residues) in the Sassafras sandy loam and Mattapex silty loam soils were
similar (Fig. 5) but markedly different from the estuarine sediments. Less
atrazine was degraded in the soils compared to the estuarine sediments after
80 days. The extractable percentage of C in the soils over time (Table 2)
shows that the atrazine metabolites on the Sassafras soils were more loosely
bound tl.an those on the Mattapex soil (65% extractable versus 20% extractable
at day 80, respectively). If one assumes that the non-extractable activity is
something other than the parent compound, atrazine degradation in the Matta-
pex soil was much more rapid than in the Sassafras.
The two major physical differences between the Sassafras and Mattapex
systems were the moisture content and the percent silt and clay (60, 14, 10%,
and 100, 52, 32%, respectively). Degradation of atrazine to hydroxyatrazine
in the Matttapex soil most probably would have been slowed by the high mois-
ture content. High soil moisture content may promote ring-cleavage of atra-
zine (19) but may also retard the conversion of atrazine to hydroxyatrazine
due to reduced adsorption onto the soil (4) and subsequent hydrolysis (1).
Conversely, the high clay content in the Mattapex soil may have accelerated
atrazine hydrolysis due to sorption on the highly acidic clay surfaces (21,
27). However, the exact source for the difference in degradation rates be-
tween the Sassafras and Mattapex soils cannot be determined from the current
data.
The issue of extractability has unfortunately received too little atten-
tion in the herbicide literature. The fate of atrazine can only be accurately
determined when the exact compositon of the non-extractable residues is
known. The degradation rate of atrazine can vary markedly depending on how
the non-extractable portion is considered. The two extreme cases are where
(1) the non-extractable portion is considered to be other than the parent com-
pound, and (2) the non-extractable portion contains the same compounds on a
percentage basis as the extractable portion (Table 3). Therefore, the range
of half-lives for atrazine calculated from the slopes of the first-order
plots in the 4 experimental systems of this study were 13-15, 16-20, 110-330,
and 36-385 days for the Tangier, Choptank, Sassafras, and Mattapex systems,
respectively. The effect is most severe in the case for the agricultural
soils, where half-lives may differ by a factor of 10. Regardless of which
assumption is used, however, as long as it is employed consistently for all
experimental systems, the degradation rates (indicated by the slope of the
linearized, first-order decay) were dramatically greater for the estuarine
systems than for the agricultural soils.
VI-14
-------
SOILS
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DAYS FROM START OF EX
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EZ3 Atraz ine Paren t
EH3 Hydroxyotrazine
• Dealkylated Atrazine
Figure 5. The percent composition of 14C-atrazine metabolites in the total extracted
residues from the agricultural soils.
VI-15
-------
TABLE 3. Atrazine degradation in the aerobic systems with estuarine sediment/
water and with agricultural soils under two different assumptions
concerning the composition of the non-extractable fraction.
ATRAZINE REMAINING IN TOTAL SYSTEMt
Non-Extractablett
As Non-Atrazine
Kon^ExtractabTettt
As Al1 Compounds
Esttarine
Choptank
Day 1
14
45
80
Tangier
Day 1
14
45
80
86
49
9
3
71
5
2
1
98
75
25
7
90
13
10
2
Soil
Mattapex
Day 1
14
45
80
88
73
56
53
85
66
31
19
93
86
75
79
96
96
82
86
t Includes both water and sediment for estuarine systems.
ft Non-extractable radioactivity considered to be compounds other than
atrazine.
ttt Non-extractable radioactivity considered to contain the same per-
centage of atrazine as the extractable portion.
VI-16
f
-------
i
The half-life of atrazine in agricultural soils seems to be quite vari-
able witn a range of 37 d to as long as 35 y (5, 1, respectively). Less re-
search has been conducted on atrazine degradation in aquatic environments,
and therefore, few comparative values are available. However, Armstrong et
al. (1) found an atrazine half-life of 145 d in a Wisconsin lake sediment and
Ballantine et al. (2) reported a half-life of approximately 30 d for Chesa-
peake Bay sediment. A general pattern emerges from these data, where degrada-
tion rates tend to be substantially slower in agricultural soils (where the
half-life generally ranges from 1-6 mo) than in estuarine systems (1-4 wk).
Rapid removal and degradation of atrazine to hydroxyatrazine in estua-
rine water and sediment as demonstrated in the present study indicates a rela-
tively reduced role of residual phytotoxicity in the estuary for the parent
compound. However, the N-dealkylated metabolites (principally N-de-ethylated
atrazine) may persist and accumulate in the estuary as has been observed in
agricultural fields (5, 17, 22}. Although no studies have been conducted on
the phytotoxicity of atrazine metabolites to aquatic plants, it is known that
N-de-ethylated atrazine is toxic to agricultural crops such as oats while
hydroxyatrazine is not (12). Therefore, the ecological impact of these atra-
zine metabolites in aquatic systems should be examined further.
14
The non-extractable C atrazine activity most likely consists largely
of further degraded daughter compounds, as well as conjugates with soil
organic matter (20). This view is supported by the decrease in percentage of
hydroxyatrazine in the Tangier system from day 14 (30 percent) to day 45 (16
percent) and the concomittant increases in non-extractable activity (57 and
75 percent, respectively). The Tangier system also exhibited more rapid rates
of both atrazine removal from the water and parent molecule degradation (Fig.
2). This suggests that the relative availability of daughter products for
further degradation was greater earlier on in the experiment in the Tangier
system than in the Choptank system. In the combined water/sediment Choptank
system, the hydroxyatrazine percentage increased from day 14 to day 45 (35 to
61 percent, respectively), reemphasizing the relatively slower degradation
rates of that system.
The half-lives (TQ 5) of atrazine applied to a variety of soils reported
in the literature are provided in Table 4 along with the estuarine and soil
systems of the present study for comparative purposes. The problem of non-
extractability of atrazine metabolites from soils creates a situation whereby
many of the values presented in this table must be considered only approxi-
mate. The atrazine half-lives in the soils of the present study are compar-
able with the reported values from the literature. A general pattern emerges
from these data, where degradation rates tend to be substantially slower in
agricultural soils (where TQ 5 generally ranges from 1-6 months) than in estu-
arine systems (where TQ 5 ranges from about 1-4 weeks).
In conclusion, it appears that atrazine is generally more labile in the
estuarine environment than on agricultural fields. As such, this trend tends
to benefit all concerned, since 1t enhances weed control for the farmer,
while diminishing the chances of effects to non-target species 1n the estu-
ary. However, the N-dealkylated metabolites (principally N-de-ethylated atra-
zine) may persist and accumulate 1n the estuary. Moreover, there is some
reason to suspect that this compound may retain some phytotoxicity. For
VI-17
-------
example, Sirons et al. (26) found that N-de-ethylated atrazine was more per-
sistent than atrazine in soils, and because of its phytctoxic nature may ac-
count for the carry-over of phytotoxicity observed from one year to the next
in soils following atrazine applications. Dao et al. (6) found the levels of
N-de-ethylated atrazine to remain almost constant in atrazine-treated soils
for two years following application. Rapid removal and degradation of atra-
zine to hydroxyatrazine in estuarine water and sediment as demonstrated in
the present study indicates a relatively reduced role of residual phc^o-
toxicity in the estuary for the parent compound. However, the relative per-
sistence of the dealkylated daughter products and their unknown phototoxicity
to estuarine plants should be examined further.
VI-18
-------
LITERATURE CITED
1. Armstrong, D.E., C. Chesters and R.F. Harris. 1967. Atrazine hydrolysis
in soil. Soil Sci. Soc. Am. Proc. 31:61-66.
2. Ballantine, L.G., L.C. Newby and B.J. Simcneaux. 1978. Fate of atrazine
in a marine environment. Fourth International Congress of Pesticide Chem-
istry, IUPAC, Zurich, Switzerland.
3. Cunningham, J.J. 1979. Responses of microcosm communities containing sub-
merged aquatic vegetation to herbicide stress. Master's thesis, Univ. of
Maryland. 63 pp.
4. Dao, T.H. and T.L. Lavy. 1978. Atrazine adsorption on soil as influenced
by temperature, moisture content, and electrolyte concentration. Weed
Sci. 26:303-308.
5. Dao, T.H., T.L. Lavy and R.C. Sorensen. 1979. Atrazine degradation and
residue distribution in soil. Soil Sci. Soc. Am. J. 43:1129-1134.
6. Eckert, R.E. 1979. Establishment of pine (Pinus spp.) transplants in
perennial grass stands with atrazine. Weed Sci. 27:253-257.
7. Geller, A. 1980. Studies on the degradation of atrazine by bacterial com-
munities enriched from various biotopes. Arch. Environ. Contam. Toxicol.
9:289-305.
8. Goswarni, K.P. and R.E. Green. 1971. Microbial degradation of the herbi-
cide atrazine and its 2-hydroxy analog in submerged soils. Environ. S~i.
and Tech. 5:426-429.
9. Hall, J.K., M. Pawlus and E.R. Higgins. 1972. Losses of atrazine 1n run-
off water and soil sediment. J. Environ. Qual. 3:172-176.
10. Hermann, W.D., J.C. Tournayre and H. Egli. 1979. Triazine herbicide
residues in Central European Streams. J. Pest Monitoring. 13:128-131.
11. Jones, T.W., J.C. Means, J.C. Stevenson, W.M. Kemp. 1981. Uptake and phy-
totoxicity of atrazine in Potampgeton perfoliatus. In: Submerged aquatic
vegetation in Chesapeake Bay: Its ecological role in~"bay ecosystems and
factors leading to its decline." Kemp, W.M., J.C. Stevenson, W. Boynton,
and J.C. Means, (Eds.) Submitted to Chesapeake Bay Program USEPA,
Annapolis, Maryland, Ref. #UMCEES 81-28 HPEL.
VI-19
-------
12. Kaufman, D.D. and J. Blake. 1970. Degradation of atrazine by soil fungi.
Soil Biol. Biochem. 2:73-80.
13. Kaufman, D.D. and P.C. Kearney. 1970. Microbial degradation of triazine
herbicides. Residue Rev. 32:235-265.
14. Kells, J.J., C.E. Rieck, R.L. Blevins and W.M. Muir. 1980. Atrazine dis-
sipation as affected by surface pH and tillage. Weed Sci. 28:101-104.
15. Lamoureau, G.L., I.E. Stafford, R.H. Shimabukuro and R.G. Zaylski. 1973.
Catabolism of the glutathione conjugate of atrazine. J. Agr. Food Chem.
21:1020-1025.
16. Means, J.C., T.W. Jones, T.S. Pait, R.O. Wijayaratne. 1981. Adsorption
of atrazine on Chesapeake Bay sediments and selected soils. In: Sub-
merged aquatic vegetation in Chesapeake Bay: Its ecological ro^e in bay
ecosystems and factors leading to its decline." Kemp, W.M., J.C. Steven-
son, W. Boynton, and J.C. Means (Eds.) Submitted to Chesapeake Bay Pro-
gram USEPA, Annapolis, Maryland. Ref. #UMCEES 81-28 HPEL.
17. Muir, D.C.G. and B.E. Baker. 1978. The disappearance and movement of
thres triazine herbicides and several of their degradation products in
soil under field conditions. Weed Res. 18:111-120.
18. Muir, D.C.G., J.Y. Yoo and B.E. Baker. 1978. Residues of atrazine and
N-de-ethylated atrazine in water from five agricultural watersheds in
Quebec. Arch. Environ. Contam. Toxicol. 7:221-224.
19. Obien, S.R. and R.E. Green. 1969. Degradation of atrazine in four
Hawaiian soils. Weed Sci. 17:509-514.
20. Roeth, F.W., Lavy, T.L., and O.C. Burnside. 1969. Atrazine degradation
in two roil profiles. Wesd Sci. 17:2u2-205.
21. Russell, J.D., M. Cruz, J.L. White, G.W. Bailey, W.R. Payne, Jr., J.D.
Pope, Jr., and J.J. Teasley. 1968. Mode of chemical degradation of _s-
triazine by moritimorillonite. Science. 160:1340-1342.
22. Sirons, G.R., R. Frank and T. Sawyer. 1973. Residues of atrazine cyana-
zine and their phytotoxic metabolites in a clay loam soil. J. Agric.
Food Chem. 21:1016-1020.
23. Skipper, H.D. and V.V. Volk. 1972. Biological and chemical degradation
of atrazine in soils. Weed Sci. 20:344-347.
24. Stevenson, J.C. and N.M. Confer. 1978. Summary of available information
on Chesapeake Bay submerged vegetation. Fish and Wildlife Service, Publ.
OBS-78/66. U.S. Dept. of the Interior.
25. Swanson, R.A. and G.R. Dutt. 1973. Chemical and physical processes that
affect atrazine and distribution in sotfl systems. Soil Sci. Soc. Amer.
Proc. 37:872-876.
VI-20
-------
26. U.S. Department of Commerce. 1974. Census of agriculture. GPO, Wash-
ington, D.C.
27. White, J.L. 1975. Determination of susceptibility of ^-triazine herbi-
cides to protonation and hydrolysis by mineral surfaces. Arch. Environ.
Contam. Toxicol. 3:461-469.
28. Wu, T.L. 1980. Dissipation of the herbicides atrazine and alachlor in a
Maryland corn field. J. Environ. Qual. 9:459-465.
14
29. Wolf, D.C. and J.P. Martin. 1975. Microbial decomposition of ring- C
atrazine, cyanuric acid, and 2-chloro-4,6-diamino^s-triazine. J.
Environ. Qual. 4:134-139.
•I
VI-21
-------
F *
ri!
CHAPTER VII
UPTAKE AND PHOTOSYNTHETIC INHIBITION OF
ATRAZINE AND ITS DEGRADATION PRODUCTS ON FOUR SPECIES OF
SUBMERGED VASCULAR PLANTS1
T. W. Jones2'3
L Wlnchell2
November 1982
University of Maryland Center for Environmental and Estuarine
Studies Ref. No. HPEL 83-251
2Horn Point Environmental Laboratories, P.O. Box 775
Cambridge, MD. 21613
3 Biology Department, Salisbury State College, Salisbury, MD. 21801
-------
ACKNOWLEDGEMENTS
This work was supported by grants from CIBA-GEIGY Corporation and the
U.S. Environmental Protection Agency Chesapeake Bay Program. We would like to
thank W. M. Kemp, H. M. LeBaron, J. C. Stevenson for review and comment on
various aspects of this work, P. Estes for laboratory assistance and K. Staver
for logistic support.
Vll-ii
-------
ABSTRACT
The photosynthetic inhibitory effects of atrazlne and three of its major
metabolites, deethylatcd, deisopropylated, and hydroxyatrazine, was determined
for four species of submerged macrophytes. All species showed a similar re-
sponse to varied dosages of the parent atrazlne compound with an average Ij
(concentration at which photosynthesis is Inhibited by 1%) for all plants of
20 ppb and an average ISQ (concentration at which photosynthesis is inhibited
by 50%) for all plants of 95 ppb. The degradation metabolites of atrazine
produced varying degrees of photosynthetic inhibition 1n the four species, but
generally the order of toxicity was deethylated > deisopropylated > hydroxy-
atrazine with hydroxyatrazine causing an apparent stimulation of photosynthesis
in several species. Of four species tested Myriophyllurn spicatum was the most
resistant to atrazine and its metabolites. The magnitude of the actual uptake
of the compounds (ug compound/gdw plant) by the plants correlated closely
with the photosynthetic inhibitory response, i.e., at the same concentration
the uptake of atrazine > deethylated > deisopropylated > hydroxyatrazine.
Considering that an extremely high environmental concentration (0.5 ppm) of
deethylated atrazlne for an estuary only produced a photosynthetic inhibition
of from 20 to 40% in four major species of submerged macrophytes, 1t is con-
cluded that the degradation products of atrazine tested are not of major sig-
nificance in the disappearance of the submerged grasses from the Chesapeake
Bay.
VII-1
-------
INTRODUCTION
Atrazine (2-chloro-4-ethylamino-6-isopropylam1no-s_-triaz1ne), a compound
used to control broadleaf weeds, has found widespread application for corn and
sorghum crops since its introduction in 1958. Currently, 1t 1s the most widely
used herbicide 1n the Chesapeake Bay watershed (Stevenson and Confer 1978).
Recent studies concerning runoff from cropland in the Chesapeake Bay watershed
where atrazine has been applied have shown that a measurable percent (ca It)
of the herbicide is ultimately transported from agricultural fields to the
aquatic environment (Wu 1980). Thus, herbicides such as atrazine represent a
potential source of stress for the vegetation in aquatic environments (e.g.,
estuaries) and these compounds have been suggested as a possible cause for the
recent decline of submerged aquatic vegetation (SAV) in Chesapeake Bay (Correll
et al. 1978). Dissolved concentrations of atrazine up to 17 ppb were found
by Correll and Wu (1981) and as high as 100 ppb by Kemp et al. (1982) in agri-
cultural runoff, while concentrations of as low as 5-10 ppb have been shown to
significantly reduce photosynthesis in various SAV species (Kemp et al. 1982,
Forney and Davis 1981, Jones et al. 1982).
A point of ecological concern In herbicide studies is the degradation
rate for these compounds 1n the environment. Atrazine can persist in soil
environments for a relatively long duration, with a half-life (time until 50%
of the parent compound remains) exceeding one year under some conditions (Arm-
strong et al. 1967). Degradation has been found to occur much more rapidly,
however, under the unique conditions found in shallow estuarine environments,
where Jones et al. (1982) found the half-life of atrazine to be approximately
2 weeks.
The degradation of atrazine in agricultural and estuarine environments
can occur by several pathways, Including (1) 2-hydroxylation forming 2-hydroxy-
4-etnylam1no-6-1sopropylam1no-sL-tr1az1ne(hydroxyatrazine), (2) N dealkylatlon
principally forming 2-chloro-4-am1no-6-1sopropylamino-striazine (deethylated
atrazine) or 2-chloro-4-ethylam1no-6-am1no-s_-tr1az1ne fdeisopropylated atrazine),
or 2-chloro-4,6-d1am1no-si-tr1az1ne, and (3) ring cleavage releasing C0£ (Arm-
strong et al. 1967, Kaufman and Blake 1970, Skipper and Volk 1972, Goswami and
Green 1971, Wolf and Martin 1975, and Jones et al. 1982). The resulting de-
al kylated degradation compounds show mixed phytotoxicities for terrestrial
plant species (Shimabukuro 1967, Kaufman and Blake 1970, Slrons et al. 1973),
while hydroxyatrazine has been shown to have negligible phytotoxic effects
(Gysin and Knusll 1960, Kaufman and Blake 1970).
Studies on agricultural soils (Slrons et al. 1973, Dao et al. 1979) as
well as 1n estuarine environments (Jones et al. 1982) have Indicated that the
atrazine degradation metabolite, deethylated atrazine, may be more persistent
than the parent compound and could account for carry-over toxlcity In agricul-
VH-2
-------
tural soils from one year to the next. However, no data exist on the effects
of this compound or other atrazlne metabolites on any SAV species nor on the
uptake of the compounds by these species.
The purpose of this study was to Investigate the phytotoxidties of atra-
zlne and its 3 principle degradation metabolites (deethylated atrazlne, deiso-
propylated atrazine, and hydroxyatrazine), and the magnitude of their uptake
by 4 important SAV species found in Chesapeake Bay.
METHODS & MATERIALS
Phytotoxicity of Atrazina and its Metabolites
Four submerged aquatic plant spec1«»s, Potamogeton perfoliatus, Ruppia
maritima, Myripphyllum spicatum and Zant....heniapalus'tris were collected from
the ChoptanV River estuary and its tributaries (8-12 ppt salinity). Freshly
collected plant shoots were rinsed in filtered (1 urn) Choptank water to
remove epiphytes and sediment, and cut to a specified length (10-15 cm de-
pending on species). Each plant was placeJ in an individual Wheaton 300 mi
BOD bottle containing filtered Choptank writer and a predetermined concentration
of either atrazine or one of its 3 princi ..» degradation products; deethylated
atrazlne, delsopropylated atrazine, or hydroxyatrazine. Stock solutions of
atrazine and it? metabolites were prepared by dissolving the compounds In
methanol such that a small volume (1-3 mi) could be added to 1500 mi of
filtered water to achieve the desired concentrations and this water used to
fill the BOD bottles.
The experimental design consisted of an array of 5 replicates each of
atrazlne, deethylated, delsopropylated and hydroxyatrazine. Five replicate
controls and dark bottles were Incubated simultaneously as well as 5 methanol
control bottles which contained a volume of methanol equal to that Introduced
into the experimental bottles with the herbicide. Duplicate 2 hour Incubations
were carried out at herbicid" concentrations of 0.5 ppm, 1.0 ppm, and 1.5 ppm
1n water baths maintained at 23 ± 2°C. Light was provided by a fluorescent
light bank yielding an Intensity of 180 uE1n/m2/sec at the bottle sur-
faces. Oxygen levels were measured with an Orbisphere Laboratories Oxygen
Indicator Model 2607. Following the final oxygen reading each plant was re-
moved and dried to a constant weight at 60°C. Oxygen production was calculated
as QZ PPro/S dry wt/hr. The same experimental design was also employed to test
the effects of lower concentrations of atrazine only (10, 25, 50, 100, 250 ppb),
in place of the atrazine metabolite compounds. All other conditions remained
the same.
Uptake of 14C Atrazlne Metabolites
Plants of the same 4 species as above were collected 1n the previously
described manner and placed in separate 2 * erhlenmyer flasks containing 1 t of
filtered river water and 0.5 ppm of either 1(*C ring-labelled atrazlne (spe-
cific activity (s.a.) 50 ud/mg), deethylated atrazlne (s.a. 21.3 uci/mg),
VII-3
I
-------
deisopropylated atrazine (s.a. 13.7 wd/mg), or hydroxyatrazine (s.a. 33
Incubations were conducted at 28°C 1n the light. After 2 hours the
plants were removed, rinsed in filtered Choptank water, dried at 60°C and
ground with a mortar and pestle. Duplicate samples were processed basically
according to the method of Beer et al. (1982). A 15 mg subsample was taken
from each ground plant sample and placed in a vial to which 0.1 ml water and
1 mi Beck,, "n BTS-450 tissue solubillzer was added. The sample was digested
at 60°C for 24 hours, after which time 1 mi was transferred to a vial con-
taining 10m* Beckman Ready-Solv NA pre-mixed liquid scintillation cocktail.
All samples were counted on a Packard Tri-Carb 460C liquid scintillation
counter. The external standard ratios method was used to determine counting
efficiency.
RESULTS AND DISCUSSION
Atrazine Toxcity
All four species of SAV responded in a similar manner to the dosage levels
(10-250 ppb) of atrazine tested, and analysis of covariance revealed no signif-
icant differences (P<.01) in dose-response pattern among species. A repre-
sentative log plot is given in Figure 1, where the percent photosynthetic
inhibition caused by increasing atrazine concentrations is shown for Ruppia
maritima. Although some photosynthetic inhibition was evident in Zannicnellia
and Myriophyllum at 25 ppb atrazine, significant effects did not appear until
50 ppb for all four species (Table 1). Values of Ij (concentration at which
photosynthesis is inhibited by IX) and ISQ (concentration at which photosyn-
thesis is inhibited by 50%) calculated from the linear regression equations
for the four species are presented 1n Table 2. The species were very similar
in their Ij values (~ 20 ppb) indicating that they all have approximately
the same threshold sensitivity to atrazine. However, the 150 values were
slightly more variable among the four species with Potamogeton being the most
sensitive (77 ppb) and Myriophyllum being the most resistant (104 ppb).
These va:ues are in close agreement with the findings of two other studies
working with Potamogeton and Myriophyllum where oxygen or- the ^C-technique
was used to assess short-term (2-4 h) photosynthesis (K'-np et al. 1982, Jones
et al. 1982). Kemp et al. (1982) in their utrazine study en Potamogeton also
monitored bionwss and found an I$Q of 130 ppb. Although Forney and DavTs
(1981) using stem length or dry weight as the plant response to atrazine found
simillar Ij values as in our study, they found quite different 159 values.
For Potamogeton they reported an IJQ for length of 474 ppb and for Myriophyllum,
1104 ppb. The variations in results of the effect of atrazine on such growth
responses as length and dry weight in aquatic macrophytes 1s not surprising
when considering the difficulty 1n maintaining these plants under laboratory
conditions for extended periods of time (e.g., Correll et al. 1978). It seems
that the most consistent results have been obtained using short-term experiments
monitoring photosynthetic parameters as measures of toxicity. However, these
results may not be the most revealing as to the total biological effect of
atrazine on the plants populations in their environment, and hence there is a
VI1-4
-------
•t!
(V.) NOI1I8IHNI OIJ.BHlNASO.LOHd
<~ ID
-------
TABLE 1. Apparent oxygen production (mg 02 gdw^h"1) of plants
exposed to atrazine.*
Plant Species
Atrazine
Treatment
Control
10 ppb
25 ppb
50 ppb
100 ppb
250 ppb
Zannichellia
palustris
6.46a
6.55a
5.97a
4.84b
2.53C
1.78C
Ruppia
maritima
8.93a
8.75a
8.79a
6.99b
5.61b
2.96C
Myriophyllum
spicatum
15.44a
15.43a
15.02a
li.88b
9.56b
4.44C
Potamoa.eton
perfoliatus
18.12a
17.09a
18.42a
13.01b
8.78C
3.19d
*6iven are mean values for 10 replicates followed by a letter designating
statistically different groups for a given species (p<0.05) using the
Student-Neuman-Keuls test.
VI1-6
-------
«r
TABLE 2. Calculated values of Ij and I$Q (ppb) as derived from linear
regression analysis of % photosynthetic inhibition versus log of
atrazine concentration.*
Plant
Species
Potamogeton perfoliatus
Myriophyllum s pi cat urn
Zannichellia palustris
Ruppia maritima
II
20
20
17
20
150
77
104
91
102
Corn
Coef
.93
.95
.95
.93
*Il and 150 are defined as the atrazine concentration at which 1% and 501
photosynthetic inhibition are apparent, respectively, (c.a., Forney and Davis
1980).
VII-7
-------
need for the longer duration experiments.
Atrazine Metabolite Toxicities
The repsonses of the four species of SAV tested to three levels (0.5,
1.0, 1.5 ppm) of atrazine and its 3 metabolites are shown in Figure 2. All
four plants had similar photosynchetic responses to the degradation products;
however, several significant differences between species is evident. Myrio-
phyl1 urn was less affected by the degradation products relative to the other
species. Also, increasing concentrations of deisopropylated and deethylated
atrazine did not produce concommitant increases in photosynthetic inhibition
in Myriophyllum, possibly indicating the approach of saturation levels of
these compounds in reducing photosynthesis in this species. These results
reinforce the observation that Myrlophyllum is relatively resistant to atrazine
as presented above (also see Kemp et al. 1982) and may indicate that this
species is able to detoxify atrazine to some extent. Also the four species
displayed varying responses to hydroxyatrazine 1n a range from photosynthetic
inhibition at all 3 concentrations (Zannichellia) to a stimulation of photosyn-
thesis at all concentrations (Potamogeton).
The actual oxygen production rates by the four species exposed to atrazine
and its metabolites are presented in Table 3, Indicating significant differ-
ences (P<.05) between the means. Hydroxyatrszine had no significant effect on
any of the plants at any of the three concentrations tested. Deisopropylated
atrazine exhibited mixed effects in the four species at concentrations of 0.5
and 1.0 ppm and only significantly depressed photosynthesis 1n all species at
the 1.5 ppm concentration. Deethylated atrazine had a significant effect at
all concentrations 1n all plants as did the parent compound.
Atrazine Metabolite Uptake
The magnitude of the uptake of atrazine and Its metabolites 1n the tissue
of the four species (F1g. 3) can be related very closely to the relative polari-
ties of the molecules. Relative polarity decreases 1n the order; hydroxyatra-
zine > deisopropylated atrazine > deethylated > atrazine. The large llpold
component of the chlorophyllous tissue in these plants would enhance atrazine
uptake and retard the movement of the more polar compounds especially hydroxy-
atrazine into the plant. This mechanism of selective herbicide penetration
was proposed earlier by Shimabukuro and Swanson (1969) for atrazine, but, no
data were presented. The data presented here may support such a mechanism.
However, whe.i the magnitude of photosynthetic Inhibition (% of control)
Is compared to the uptake of each compound (ug/gdw plant) (Fig. 4) an
indication of a more complex situation emerges. For example, the uptake of
deethylated atrazine by Zannlchellia was nearly as great as the uptake of
atrazine (10 ug/gdw vs 11 pg/gdw, respectively) and yet the photosynthetic
inhibition 1n response to this uptake was dramatically different. Atrazine
reduced photosynthesis by 85% while deethylated atrazine created a reduction
of only 40%. A similar situation occurred In Potamogetpn and to a lesser
extent Ruppia. Only Myrlophyllum had a close relationship between uptake and
photosyntnetlc Inhibition.
VII-8
-------
O « O «
(V.) NOI1I8IHNI Dll3HiNAS010Hd
VII-9
-------
TABLE 3. Apparent oxygen production (mg Op gdw^h"1) of plants exposed
to three levels of atrazine and its metabolites.
Plant Species
Concen-
tration
0.5 ppm
1.0 ppm
1.5 ppm
Treat-
mentt
Control
OH
Dei so
Deethyl
Atrazine
Control
OH
Dei so
Deethyl
Atrazine
Control
OH
Dei so
Deethyl
Atrazine
Zannichellia
palustris
59.18a*
52.95a>b
48.64b
36.85°
12.23d
63.93a
63.72a
56.14a
36.96b
8.73C
61.06a
57.15a«b
45.68b
25.02C
7.47d
Ruppia
mantima
44.45a u
42.35a«b
37.82b
41.04b
10.67C
40.16a
39.36a
30.99b
26.92b
6.21°
37.97a u
34.84a»b
30.90b
20.97C
3.53d
Myriophyllum
splcatum
51.76a
50.29a
54.55a
41.04b
10.72°
72.92a
73.98a
64.88a
49.46b
11.71C
54.59a'b
62.50a
51.15b
37.03°
7.23d
Potamogeton
perfoliatus
54.93a
52.23a
48.92?
36.47b
8.26°
58.15a
61.80a
49.91b
31.79°
6.08d
68.87a
69.88?
48.08b
26.26°
5.83d
*G1ven are mean values for 10 replicates followed by a letter designating
statistically different groups for a given species (p<0.05) using the Student-
Neuman-Keuls test. ~"
tTreatments are control, hydroxyatrazine (OH), deisopropylated atrazine (Deiso),
deethylated atrazine (Deethyl), and atrazine parent compound.
VII-10
-------
UJ O
Z UJ
N <
< -1
UJ
< O j UI
> ac. r* z
X 0. £ —
oo*"
* «» r~. 15
o _ uj o:
>. UJ UJ I-
x o ° <
D E3 S 0
MYRIOPHYLLUM
RUPP
POTAMOGETON
CHELL
solution concentration of
Atrazine metabolite uptake by the four species at
for each metabolite (x ± S.D., n = 4).
3
ZANN
igure
o
CM
10
6/6r/)
VII-ll
-------
-
(%)NOI1I9IHNI Dli3HiNASOJLOHd
VII-12
-------
The observations reported above may indicate not only a solubility factor
1n the mechanism of atrazine toxicity, but also possibly steric factors as
discussed elsewhere in detail for £-tr1azines (Ebert and Dumford 1976). The
current understanding of the mechanism of action of atrazine is that 1t binds
to a specific protein in the thylakoid membrane (Pfister et al., 1980) which
requires that the compounds possess the appropriate configuration. The removal
of groups from the ^-triazine ring or hydro^ylation of atrazine to form degraded
metabolites such as those tested here would create steric changes. Pfister et
al. (1979) has further proposed a resistance mechanism where plants modify the
herbicide binding site such that the compound cannot bind and thus produces no
effect. The percent photosynthetic inhibition per ug deethylated atrazine
taken up by the plant was only 1/2 that for the same amount of atrazine absorbed.
Therefore, the compound was present in the cells but less effectual in reducing
photosynthesis compared to atrazine. However the location of the compound is
most important for it still could be that the compound is unable to penetrate
the cMoroplasts due to polarity, and thus it remains chiefly in the cytosol.
It would appear that the atrazine degradation metabolites tested here are
not as effectual in reducing photosynthesis in SAV species as atrazine is in a
system such as the Chesapeake toy. The high concentration (0.5-1.5 ppm) of
the degradation products tested were necessary to ellicit detectable responses
and are far above the concentrations that would be expected 1n the environment.
VI1-13
-------
REFERENCES
1. Armstrong, O.E., C. Chesters, and R.F. Harris. 1967. Atrazine hydrolysis
in soil. Soil Sci. Soc. Am. Proc. 31:61-66.
2. Beer, S., Stewart, A.J., and R.G. Wetzel. 1982. Measuring chlorophyll
a and ^C-labeled f/hotosynthate in aquatic angiosperms by the use of a
tissue solubilizer. Plant Physiol. 69:54-57.
3. Correll, D.L. and T.L. Wu. 1982. Atrazine Toxicity to Submersed Vascular
Plants in Simulated Estuarine Microcosms. Aquatic Botany 14:151-158.
4. Correll, D.L, J.W. Pierce, and T.L. Wu. 1978. Herbicides and Submerged
Plants in Chesapeake Bay. IN: Amer. Soc. Civil Eng. (ed.) Coastal
Zone. 78 pp. 858-877.
5. Dao, T.H., T.L. Lavy, and R.C. Sorensen. 1979. Atrazine Degradation
and Residue Distribution in Soil. Soil Sci. Soc. Am. J. 43:1129-1134.
6. Ebert, E., and S.W. Dumford. 1976. Effects of Triazine Herbicides on
the Physiology of Plants. Residue Rev. 65:1-103.
7. Forney, D.R., and D.E. Davis. 1981. Effects of low concentrations of
herbicides on submerged aquatic vegetation. Weed Sci. 29:677-685.
8. Goswami, K.P., and R.E. Green. 1971. Microbial degradation of the herbi-
cide atrazine and its 2-hydroxy analog in submerged soils. Environ. Sci.
Tech. 5:426-429.
9. Gysin, H., and E. Knusli. I960. Chemistry and Herbicidal Properties of
Triazine Derivatives. Adv. Pest Control Res. 3:289-358.
10. Jones, T.W., W.M. Kemp, J.C. Stevenson, and J.C. Means. 1982. Degrada-
tion of atrazine in estuarine water/sediment systems and soils. J.
Environ. Qual. 11:632-638.
11. Jones, T.W., W.M. Kemp, P.S. Estes, J.C. Stevenson. 1982. Atrazine
uptake phytotoxicity, release, and short-term recovery for the submerged
aquatic plant Potamoqeton perfoliatus. Report to U.S. E.P.A., Annapolis,
Maryland, Grant No. R805932-01-1.
12. Kaufman, D.D., and J. Blake. 1970. Degradation of atrazine by soil
fungi. Soil Biol. Biochem. 2:73-80.
VII-14
1
-------
13. Kemp, W.M., J.J. Cunningham, J.C. Stevenson, J.C. Means, W.R. Boynton.
1982. Response of submerged vascular plants to herbicide stress in estua-
rine microcosms. Report to U.S. E.P.A., Annapolis, Maryland, Grant No.
R805932-01-1.
14. Pfister, K., K.E. Steinback, G. Gardner, and C.J. Arntzen. 198C. Identi-
fication of the photosystem II herbicide binding protein. Plant Physiol.
65(6)'.Supplement, Abstr. No. 48.
15. Pfister, K., S.R. Radosevich, and C.J. Arntzen. 1979. Modification of
Herbicide Binding to Photosystem II in Two Biotypes of Senedo vulgaris
L. Plant Physio. 64:995-999.
16. Shimabukuro, R.H. 1967. Significance of atrazine dealkylatlon 1n root
and shoot of pea plants. J. Agri. Food Chem. 15:557-562.
17. Shimabukuro, R.H., and H,R. Swanson. 1969. Atrazine metabolism, selectiv-
ity, and mode of action. J. Agr. Food Chem. 17:199-205.
18. Sirons, G.R., R. Frank, and T. Sawyer. 1973. Residues of atrazine cyana-
zine and their phytotoxic metabolites in a clay loam soil. J. Agric. Food
Chem. 21:1016-1020.
19. Skipper, H.D., and V.V. Volk. 1972. Biological and chemical degrada-
tion of atrazine in soils. Weed Sci. 20:344-347.
20. Stevenson, J.C., and N.M. Confer. 1978. Summary of available Infor-
mation on Chesapeake Bay submerged vegetation. Fish and Wildlife Service
Pub. no. OBS-78/66, U.S. Dep. of the Interior. U.S. Government Printing
Office, Washington, D.C.
21. Wolf, D.C., and J.P. Martin. 1975. Microblal decomposition of ring-
ll*C atrazine, cyanuric add, and 2-chloro-4,6-diam1no-s-triazine. J.
Environ. Qual. 4:134-139.
22. Wu, T.L. 1980. Dissipation of the herbicides atrazine and alachlor in a
Maryland corn field. J. Environ. Qual. 9:459-465.
VII-15
-------
f I
CHAPTER VIII
EFFECTS OF NUTRIENT ENRICWENT
IN EXPERIMENTAL ESTUARINE PONDS CONTAINING
SUBMERGED VASCULAR PLANT COMMUNITIES*
Robert R. Twllleyt
W. Michael Kempt
Kenneth W. Stavert
Walter R. Boyntonf
J. Court Stevensont
August 1982
Contribution No. 1431 Center for Environmental and Estuarlne
Studies, University of Maryland.
tHorn Point Environmental Laboratories, P.O. Box 775,
Cambridge, MD. 21613
^Chesapeake Biological Laboratory, P.O. Box 38,
Solomons, MD. 20638
VIII-1
-------
TABLE OF CONTENTS
Page
LIST OF FIGURES VIIMv
INTRODUCTION VII1-1
MATERIALS AND METHODS VIII-2
Ponds Design VIII-2
Experimental Design VIII-2
Bi oma s s V111- 4
Submerged Vascular Plants VIII-4
Epiphytic Material VIII-4
PI anktoni c Materi a 1 V111-5
Productivity and Respiration VIII-5
Vascular Plants and Epiphytes VIII-5
Community Metabolism VIII-6
Nutrient Dynamics VIII-6
Denitrlfication VIII-6
Nutrient Sampling VIII-6
Chemical and Physical Analyses VIII-7
Light Measurements VIII-7
RESULTS VIII-8
Nutrient Cycling VIII-8
Water Column Concentrations VIII-8
Plant Composition VIII-8
Sediment Nutrients VIII-13
Denitrification Rates VIII-13
Light Attenuation VI11-17
Epiphytic Solids VII1-17
Water Column Attenuation VIII-17
Plant Biomass VIII-17
Submerged Vascular Plants VIII-17
Epiphytic Biomass VII1-21
Plant and Epiphyte Productivity VIII-24
Plant Production and Respiration VIII-24
Plant/Epiphyte Relations VI11-28
Community Photosynthesis and Respiration VI11-30
DISCUSSION VIII-30
Nutrient Uptake from the Water Column VIII-30
Nitrogen Uptake and Storage by SAV VIII-34
Sediment Nutrient Dynamics VIII-39
VIII-11
-------
Algal Response to Nutrient Enrichment VIII-39
PAR Attenuation by Algal Biomass VIII-42
Epiphyte Effects on SAV VIII-45
SAV Biomass Response to Nutrient Enrichment VIII-48
Response of Community Metabolism to Fertilization VIII-50
SAV Strategy for Growth and Production VIII-50
SUMMARY V111- 52
LITERATURE CITED VII1-54
APPENDICES VIII-61
VIII-111
-------
t!
LIST OF FIGURES
Figure 1.
Figure 2.
Figure 3.
Figure 4.
Figure 5.
Figure 6.
Figure 7.
Figure 8.
Diagram of pond mesocosms at Horn Point Environmental
Laboratories. Broken lines represent the flow of
estuarine water to and from the Choptank River
estuary ............................... .. ..... .. .....
Time series plot of inorganic nitrogen
and N(E) and phosphorus concentrations
in the pond water at four nutrient treatments
beginning on 16 July, 1981 .......... .........
Concentrations (uM) of total nitrogen, nitrate,
and ammonium in pond water at four nutrient treat-
ments on the third day following nutrient applications
during the summer, 1981 ,
Tissue nitrogen (N) concentrations (% dry wt.) of
Potamogeton perfoliatus subjected to four nutrient
treatments at 26 and 60 days following the initial
t rea tme nt
Changes in the carbonrnitrogen ratios (atom weight)
in tissues of Potamogeton perfoliatus subjected
to four nutrient treatments during the summer, 1981.
Concentrations (pM) of nitrate plus nitrite
and ammonium in the pore waters of sediments with and
without vegetation in a low and high nutreint treated
pond on 15 July 1981
Page
VIII-3
VIII-9
VIII-10
VIII-11
VIII-12
VIII-14
Concentrations (yM) of nitrous oxide (N20) in
the headspace at various intervals of a 24 h incuba-
tion of sediment cores froma low and high nutrient
treatment. Also included are nitrate (NOo)
concentrations in water overlying the sediment cores at
the beginning and end of the experiment
Denitrification rates (ymol •nT2«h~1)
in the vegetated and bare sediments of a low and
high nutrient treated pond................ .,
VIII-15
VII1-16
VHI-iv
-------
If-
Figure 9.
Figure 10.
Figure 11.
Figure 12.
Attenuation coefficients (m'1) of the water
column at four nutrient treatments
Concentrations of chlorophyll _a (pg/*) and
total sestion (mg/je) in the pond waters at four
nutrient treatments
Aboveground bioma^s (gdw/m2) of submersed
macrophytes in ponds subjected to four nutrient
treatments. Fertilization began on 18 June, 1981.
VIII-18
VIII-19
VI11-20
a) Changes in the total biomass of submersed macro-
phytes (kg dry wt.) in the ponds subjected to four
nutrient treatments, b) Average daily changes in the
biomass of submersed macrophytes (gdw«m"2»d"1)
in ponds at four nutrient treatments
Figure 1.3.
Figure 14.
Figure 15.
Epiphyte biomass (gdw/gdw(SAV)) on Ruppia maritima
and Potamogeton perfoliatus in ponds subjected to
four nutrient treatments.Fertilization began after
the June measurements..
Epiphyte biomass (chl-a/gdw (SAV) on Ruppia maritima
and Potamogeton perfolTatus in ponds subjected to four
nutrient treatments.
June measurements...,
Fertilization began after the
VII1-22
VIII-23
VI11-25
Photosynthetic active radiation (pEin»m"2«
s'1) at the water's surface and at 0.5 m depth from
mi dooming to midafternoon along with measurements of
apparent production (Pa) and net respiration (R,,) for
Ruppia maritima and Potamogeton perfoliatus
VIII-26
Figure 16.
Net photosynthesis (mg C-gdw^h"1} along
the length of Potamogeton perfoliatus and Ruppia
maritima cleared of epiphytic material. Included is
the amount of photosynthetic active radiation
(wEin'm-Z'S'1) from water's surface
to 0.5 m depth.....
Figure 17.
Figure 18.
Apparent production and net respiration [mg
?
nutrient treated pond
of Potamogeton perfoliatus and
associated epiphytes from a
(g dry wt.
low nutrient and a hiyh
VIII-27
VIII- 29
Net photosynthesis [mg C (g dry wt.
of the tip (0-15 cm) and basal (15-50 cm) sections
of Potamogeton perfoliatus and Ruppia maritima and
£
>rf
associated epiphytes V111-31
Figure 19. Photosynthesis and respiration (g O.-m"3^"1)
of the pond communities at four nutrient levels
during summer of 1981 VI11-32
VIII-v
-------
r
Figure 20.
Figure 21.
Figure 22.
Figure 23.
Figure 24.
Figure 25.
Changes in net production (g O'lrr^d'1) of
the pond communities at four nutrient treatments
during the summer of 1981. Fertilization began
after the June measurements
Uptake rate for NH^ and NUj from pond waters with
submersed macrophyte communities at various concen-
trations of nitrogen
The relationship between tissue nitrogen content (%)
and biomass production of submersed macrophytes
The response of photosyntnetic active radiation
{attenuation coefficient, K), plankton chlorophyll £
(um/i) and total sestion (mg/i) of the
water in pond mesocosms subjected to four nutrient
treatments
Correlations among the attenuation of photosynthetic
active radiation of the water column in ponds treated
with nutrients and A) total seston concentration
(mg/4), and B) total nitrogen concentration (um)
VIII-33
VI1I-35
VII1-37
VI11-41
VI11-43
Correlations between A) attenuation coefficients
for photosynthetic active radiation and plankton
chlorophyll a, and B) total nitrogen concentrations
(um) and plaTikton chlorophyll £ 1n water column
of pr 4s treated with nutrients...
VI11-44
Figure 26. Effects of epiphyte biomass [gdw/gdw(SAV)] on the
normal apparent production of Potamogeton
perfoliatus (% of production of plants cleared of
epiphytic material) based on experiments using 1(*C-
incorporation and dissolved oxygen evolution to measure
pi ant metabol1sm
Figure 27.
Figure 28.
Figure 29.
Effects of epiphyte biomass on Potamogeton perfoliatus
expressed as area (mg/cm2) and weight
[gdw/gdw(SAV)] ,
The response of submersed aquatic vegetation in
experimental ponds to various loading rates of
nitrogen and phosphorus
The apparent production to nighttime respiration ratio
of ponds at four nutrient treatments
VII1-46
VI11-47
VI11-49
VIII-51
VlII-vl
-------
INTRODUCTION
Over the past two decades there has been a marked decline 1n abundance
and distribution of submerged vascular plants in Chesapeake Bay (Ba>ley
et al. 1978; Stevenson and Confer 1978; Orth and Moore 1981). While densities
of Zostera marina have been reduced in the higher salinity reaches of this
estuary, the most dramatic losses have occurred in the upper and middle bay.
Here, numerous plant species have been involved, such as Potamogeton perf ol -
iatus, j>. pectinatus, Ruppia maritima, Zannichellia palustra, Elodea
canadensis and Valisnqria amencana. A number of factors have been suggested
as contributing to this decline, including the increasing input of nutrient
wastes (Boynton et al. 1981). Nutrient enrichment is well documented for
several regions of Chesapeake Bay", as is the Increase in" phytoptankton chlor-
opfcyH _a -(Hfhursky and Boynton 1979; Heinle et al. 1981}. Prior to TRFgen-
eral demise of submerged aquatic vegetation (SAV) in the Bay, there was a
proliferation of the exotic species Myriophyllum spicatum throughout the
upper bay (Bayley et al . 1978). This is similar to the pattern reported by
Lind and Cottam (1969), where Myriophyllum invasion of Lake Mendota occurred
in response to eutrophi cation.
Various investigators have postulated thac observed losses of SAV in
other freshwater systems were attributable to eutrophi cation, Including Loch
Leven, Scotland (Jupp and Spence 1976), Lake Erie, Ohio (Stuckey 1978), White-
water Lake, Ontario (Dale and Miller 1978), and Norfolk Broads, England
(Phillips et al. 1978). Others have suggested that nutrient
enrichment may be one of several factors contributing to dimunition of sea-
grasses in such coastal ecosystems, as the Dutch Waddenzee (Den Hartog and
Polderman 1975), the French Medlterranian (Peres and Picard 1975), and Cockburn
Sound, Australia (Cambridge 1979). The hypothesized mechanisms whereby nutrient
additions could lead to reductions tn SAV involve the prolmptTbn of -a4-gaT .....
growtfi, either phytoplanktonic (Jupp and Spence 1977) or ¥pTpfiy^Tc1pPln1ll1ps
et al. 1978), and a resuTttrrg reduction 1n light available to the vascular
plants (Sand-Jensen 1977; Penhale 1977). Additional stress mechanisms jaybe
ivolved such as: inhibition of molecular
"Jensen 1977); enhanced deposition of sediments on SAV leaves (Menzie 1979);
and Incresed growth of colonial animal fouling on SAV leaves stimulated by
elevated availability of phytoplankton (Staver et al. 1980).
Much of the Information regarding nutrient effects on algal -SAV relation-
ships has been Inferred from indirect correlative evidence along natural nutri-
ent gradient (e.g. Cattaneo and Kalff 1980; Sand-Jensen and S^ndergaard
1981). However, direct experimental approaches have been applied for fresh-
water ecosystems utilizing pond or pool microcosms (Mulligan and Baranowskl
1969; Ryan et al. 1972; Moss 1976; Mulligan et al. 1976; Phillips et al.
1978). In fact, early experiments with fish ponds demonstrated that fertili-
zation offered an effective means of controlling aquatic weeds (e.g., Smith
VIII-1
-------
and Swingle 1941). In a recent paper Harlln and Thome-Miller (1981) reported
the results of semi control led experiments where nutrients were added to
seagrass beds 1n situ. While this study provided some provocative results,
rates of nutrient addlton could be determined only qualitatively. With this
exception, there have been no direct experiments Investigating nutrient enrich
ment Affects on SAV communities for marine or estuarine systems.
In this paper we report the results of 2. study where we used eight repli-
cate experimental estuarine ponds stocked with mixed SAV species and flushed
with Chesapeake Bay waters. The purpose of this study was to Investigate the
effects of nutrient enrichment on: (1) abundance of phytoplankton and epiflora:
(2) community production and nutrient cycling; (3) Interactions between algae
and SAV (especially relative to light availability); and (4) SAV growth, abund
ance and nutrient status.
MATERIALS AND METHODS
Ponds Design
The eight rectangular ponds were constructed at Horn Point Environmental
Laboratories during the spring and summer of 1979 (F1g. 1). The dimensions of
each pond are 27 m by 13 m at water surface, with sides sloped (1:1) to a
nominal depth of about 1.2 m. Water from the Choptank River 1s pumped to a
centrally located reservoir, from which water flows Into each pond. Estuarine
water entered each pond through a control valve and exited through a stand-
pipe, so that flushing rate and water level could be controlled. The ponds
have three piers each to facilitate sampling. Two short (3m) piers are lo-
cated at the Inflow and outflow ends of the ponds, and a longer pier 1s located
midway along one side, extending 9 m Into the pond.
The ponds were stocked with submersed aquatic vegetation during the summer of
1979 from coves located along the Choptank River estuary. Cores (15 cm dia)
containing plant shoots, roots and sediments were transported from source
areas to the ponds, where they were transplanted in a grid with 1 m distance
between adjacent plugs. Chly two diagonally separated quarters of each pond
were seeded. The dominant transplanted SAV species were Potamogeton perfoliatus
and Ruppia maritime. By the summer of 1980, about 50-80% of the sediment surface
was covered by SAV, and several other vascular plant species were observed at
lower densities, including ZannichelHa palustrus, Myriophyllum spicatum. and
El odea canadensls. This experiment was initiated in the early summer of 1981,
and represented the first manipulative treatment of these transplanted grass
beds.
Experimental Design
Three different treatments of dissolved nutrients were applied to duplicate
ponds, and two ponds served as controls. Commercial fertilizers 1n the form of
ammonium sulphate, potassium nitrate, and di -ammonium phosphate were dissolved
in distilled water and applied to the ponds with a sprayer. The nitrogen (N)
application rates were 1.68, 0.84, and 0.42 g/m2 for the high, medium, and
VIII-2
-------
To Discharge
From
Estuary
~-Hnf low System
^Discharge System
Figure 1. Diagram of pond mesocosms at Horn Point Environmental Labora-
tories. Broken lines represent the flow of estuarine water to
and from theChoptank River estuary.
VIII-3
-------
low dose ponds, Respectively, and contained equal amounts of nitrate (NOj)
and ammonium (NH.). Concentrations of inorganic N immediately after dosing
were 120, 60, and 30 vM in treated ponds, respectively. Corresponding
phosphorus (P) loading rates were 0.37, 0.19, and 0.09 g/mz which yielded
initial concentrations of 12, 6 and 3 uM in treated ponds. The ponds were
treated on six occasions at 10 d intervals beginning 19 June 1981 and ending
on 4 August 1981. The ponds were held in batch mode for 8-9 d following each
application, followed by 1-2 d of flushing with ambient estuarlne water to
effect a complete turnover of water.
Biomass
Submerged Vascular Plants
Submersed aquatic vegetation was sampled in each pond twice before fer-
tilization began; twice during the treatment period and once during post treat-
ment in November. A stratified random sampling procedure was used to select
six 0.1 m2 vegetated plots in each pond. Aboveground (leaves and stems) and
belowground (roots and rhizomes) biomass was harvested on 17 June whereas only
shoot? were sampled on the other occasions. Samples were rinsed with estuarlne
water, sorted by sped as, and dried in a forced draft oven at 60°C to constant
weight. Dry weights were determined to the nearest 0.01 g. The dried biomass
was ground through a 40 mesh screen using a Wiley Mill and stored in air tight
plastic bags. Aerial photography at 150 m was used to determine the percent
cover of SAV 1n each pond on each sampling date. Kodak Ektachrome ASA 400
daylight film was used to produce color slides from which the cover of SAV was
traced and area determined.
The chlorophyll content of Pptamogeton was determined from 3 mm diameter
disks sampled from leaves along the terminal 10 cm section of the plant.
These samples were ground in a 10:1 dimethylsulfoxide (DMSO): acetone solution
(Wscox and Israelstam 1979) and chlorophyll absorption was measured on a Gary
219 spectrophotometer.
Epiphytic Material
Epiphyte biomass was determined each time SAV biomass was measured except
for the first pretreatment and the post-treatment occasions. Individual
plants were sampled 1n triplicate and placed 1n 1 t plastic bottles. Epi-
phytes were removed by agitating the bottles for several minutes. This water
sample was stirred 1n a beaker while three ten ml aliquots were removed and
filtered through prewelghed GFC glass fiber filt.ars. These three subsamples
were duplicated for analysis of chlorophyll £ and total suspended solids.
Chlorophyll a filters were wrapped 1n aluminum foil and frozen, and the others
were dried for two days at 60°C. Background total suspended iolld concentra-
tions were determined on pond water alone. The plant from which epiphytes
were removed was dried 1n a plant press. After determining dry weights, these
samples were analyzed for leaf area with a LICOR Model 3100 area r*ter.
-------
Planktonlc Material
Plankton pigments were measured by filtering 100-200 ml of pond water
through 0.45 y GFC filters. Chlorophyll-a was extracted for 24 h in 10 ml of
a 1:1 solution of DMSO and acetone (Shoar~and Lium 1976) and flourescence
was measured using a Turner Model 111 flourometer.
Productivity and Respiration
Vascular Plants and Epiphytes
Primary production and respiration were measured using both dissolved
oxygen (DO) and 14C techniques. Total seston was determined again by filtra-
tion of 50-200 ml of ambient water through GFC filters (0.45 p). Filters
were washed, dried and weighed according to the methods of Strickland and
Parsons (1972). SAV and/or epiphytes were incubated in 300ml biological
oxygen demand (BOO) bottles filled with filtered (1.0 p) estuarine water,
and changes in 00 over time were used to estimate apparent productivity.
Bottles were incubated for short time Intervals (1-3 h) in either the ponds or
in a 0.25 m deep incubator under ambient light and temperature with continu-
ously circulated river water. Light attenuation, salinity, and temperature of
the water column were also measured during each experiment.
The productivity of the top 15 cm of plants with epiphytes of various
densities were compared to the basal sections of SAV with epiphytes. The con-
tribution of epiphytes to DO changes within these bottles was calculated by
extrapolating measured rates of just epiphyte production to results with epi-
phytes plus SAV. The epiphyte biomass on the plants (g/gdw(SAV)) was measured
as discussed above and used to convert epiphyte production data (mg02 gdw
(epiphyte)'1) to epiphyte production associated with SAV. DO changes in
light bottles represented apparent net production and no corrections were
made for oxygen storage since lacuna! capacity in these plants is minor (West-
lake 1978). DO changes in opaque bottle incubations were used to provide an
estimate of dark respiration.
Net carbon incorporation was also measured using uptake of **C bicarbon-
ate. Whole plants were carefully removed from sediments and placed with epi-
phytes intact Into clear plexiglass tubes (7.5 cm dia, 50 cm long) with the
roots of the plants attached to one end of the core. These cores were sealed,
and floated vertically in the control pond such that the tip of the shoots
were 2-3 cm below water's surface and the remainder of the plant extended to
j 0.5 m depth (the length of the core). Carrierfree 14C-bicarbonate was
injected along the length of the core via to a specific activity of 5 pCi/i.
Plants were incubated for 1-2 h during midday.
Potampgeton perfoliatus was studied at 2 epiphyte levels and Ruppia mari-
tima at only 1 epiphyte level, and controls for both plants were nearly free
of epiphytes. Following incubation, the control plants were sectioned Into
10 cm lengths, and the epiphyte colonized plants were sectioned into two lengths
which were either less than or greator than 15 cm from the tip of the plant.
The epiphytes were removed with a stream of water and a rubber policeman, and
the entire contents filtered onto GFC glass fiber filters. Plants and filters
VIII-5
-------
were dried to constant weight at 60°C and digested in nitric acid according to
Lewis et al. (1982). Radioassay was performed with a Packard Tri-Carb 460C
liquid scintillation counter standardized with a quench curve. The absolute
amount of CO^ uptake was determined from specific activity and alkalinity
measurements, which represents net productivity.
Community Metabolism
Diel changes of DO in the ponds were used to estimate community produc-
tion and respiration following the approach of Odum and Hoskin (1958). Measure-
ments were made prior to and during fertilization. DO and temperature measure-
ments were made at the surface and 0.5 m at 3 stations (the end of each sampling
pier) in each pond at dawn and at dusk. This sampling scheme was performed for
2 consecutive days 7 times during the summer. Changes in DO were corrected for
oxygen transfer across the air-water interface using a modification of the
method of Copeland and Duffer (1967). Changes in DO from dawn to dusk and from
dusk to dawn were taken to represent net production and nighttime respiration,
respectively.
Nutrient Dynamics
Denitrification
Duplicate intact sediment cores (7.b cm diameter x 20 cm depth) were
obtained in vegetated and unvegetated areas of a low nutrient and high nutri-
ent dosed pond. Sediment denitrification was measured in each core following
the acetylene reduction procedure of Sorensen (1978). The overlying water in
each core was removed to give a headspace of 4 cm resulting in a water depth
of about 15 cm. Cores from the low and high nutrient dosed ponds, were en-
riched with dissolved nitrate at concentrations of 15 uM N and 60 pM N
above ambient levels, respectively. The cores were sealed and the headspace
purged with a gas mixture (80% Ar, 18% 02, 2% CO?) to remove nitrogen while
providing an in situ oxygen tension. Acetylene (Cg^) was injected into the
core to achieve a partial pressure of 0.2 atm (Patriquin and Denike 1978), and
the headspace of the core was sampled at 0, 3, 6, 17 and 24 h for N20 evolution.
At 24 h the headspace was again purged with the gas mixture, amended with
acetylene and incubated for another 24 h period. At 0, 24 and 48 h the over-
lying water was sampled for dissolved inorganic nutrients (NH^, NOo
and DIP) and DO. Cores were incubated in Percival incubators at 30*C and a 16
h light, 8 h dark photoperiod. Headspace samples were stored in yacutainers
and later analyzed by a Packard 111 gas chromatograph equipped with a 63Ni
electron capture detector. Standards were run using pure nitrous oxide (Air
Products, Inc.) to relate peak heights to NgO concent,ation.
Nutrient Sampling
Water. Water in each pond was sampled at a depth of about 0.5 m at the
3 stations (end of each pier) in each pond throughout the summer. Unfil-
tered subsamples were stored in plastic bottles and frozen for subsequent
VIII-6
-------
analysis of total N and P. Triplicate 150ml aliquots were filtered through
preweighed GFC glass fiber filter paper (1 u) immediately following collec-
tion for analysis of both chlorophyll a and total suspended solids. Filters
for chlorophyll £ were wrapped in alumThum foil and frozen, while the other
filters were dried for several days at 60°C and weighed. The filtered water
samples were analyzed for NH., NO^, NOo and DIP. Total nitrogen
and phosphorus, and pH were measured on unfiltered samples.
Sediment. During the 17 June and 13 August biomass samplings, 6 sediment
samples were taken in each pond with a modified plastic core (2.5 cm dia, 15
cm long). These sediment cores were sectioned at 2 cm intervals to a depth of
10 cm. Fresh weights were measured, the samples were dried to constant weight
at 60°C and weighed again to obtain water content. Each section was ground
with a mortar and pestle, stored in plastic-pak bags and analyzed for total
carbon, nitrogen and phosphorus. Four intact sediment cores (7.5 cm diameter
x 30 cm length) were taken in a low and high nutrient dosed pond on 15 .July
1982. Two cores in each pond were from vegetated and unvegetated areas. Each
core was sectioned into 2 cm subsamples to a depth of 10 cm in a glove-box
under N£ atmosphere. Triplicate subsamples from each section were combined
and extracted with deionized water. Following centrifugation, the supernatant
was filtered through GFC filters and analyzed for inorganic nutrients '""
NO^ plus N0£, DIP).
Chemical and Physical Analyses
Inorganic nutrients were assayed on a Technicon Auto Analyzer II using
the following techniques: ammonium determinations followed Solorzano (1969);
nitrate was reduced with a cadmium column and nitrite was reacted with sul-
fanilamide and N-1-dihydrochlomide njpthylene liamine; phosphorus results
represent filterable phosphorus reactive witr. Ammonium molybdate in ascorbic
acid. Total phophorus and nitrogen were digested with persulphate using the
method of Valderrama (1981) followed by inorganic phosphate and nitrate assay
described above. pH was measured with a Beckman Model 4500 digital pH meter
with a calomel reference electrode. An Orbisphere Model 2603 oxygen meter and
probe (with stirrer) were used to measure DO in open water and in BOD bottles.
Total carbon and nitrogen of sediment, plant and filter paper were assayed
with a Perkin Elmer 240B elemental analyzer.
Light Measurements
Attenuation of photosynthetically active radiation (PAR) in each pond was
determined periodically throughout the summer with a LICOR 185A light meter
equipped with a LICCri 1925B underwater quantum sensor. Daily integral light
energy and PAR were also obtained during all productivity experiments using a
Weather Measure Corp. Model No. R401 pyronometer and the LICOR meter.
Light attenuation due to epiphytes was determined using a modification
of the method of Borum and Wiurn-Andersen (1980). Here, the reduction in PAR
was measured as It passed through a finger bowl containing different densities
of epiphytes removed from Potampgeton perfollatus leaves. Total suspended
solid concentration of the epiphyte medium was used to determine the weight
VIII-7
-------
of epiphytes per cm^ in the bowls. This value was related to percent of
original light to calculate light attenuation coefficients.
RESULTS
Nutrient Cycling
Water Column Concentrations
During the week following each nutrient dosing, inorganic nutrient con-
centrations underwent a rapid and steady decline in all ponds (Fig. 2).
Initial concentrations varied according to treatment, but within 3 d NHj
and DIP concentrations in all ponds were dramatically reduced. The exception
was NOo in the high treatment ponds which remained above 25 uM even
after 7 d, Whereas NO^ in the other ponds was less than 1.0 yM after 3 d.
Concentrations of NO^, NH^, and DIP, as well as total P and
total N were measured throughout the summer on the third day following
treatment (Appendix, Table A-l to A-5). The trend apparent in Fig. 2, where
NH< and DIP were reduced to similar levels among treatments within 3 d,
was exhibited for each dosage except the last. Following the sixth dosage,
both NH« and NOo remained relatively elevated in the high dose ponds
(Fig. 3). Although the inorganic nutrients were similar among treatments
after 3 d, concentrations of total N and P reflected treatment levels through-
out the summer (Fig. 3). Over 90% of the total nitrogen levels were organic
N in the control, low and medium treatment ponds. Inorganic N typically
comprised about 25% of the total for high treatment systems, except in the
6th wk when NHj and NOg were nearly 50% of total N (Fig. 3).
Plant Composition
The N content in Potamogeton perfoliatus under control conditions changed
little from mid-June to August (Fig. 4, Table B-l). However, nitrogen levels
of plants in the low and medium nutrient dosed ponds increased gradually
during the summer by about 0.3% N for each treatment. The most dramatic
change in % N was observed in the SAV in the high nutrient treatment, where
% N during the course of the experiment increased from 1.10-1.99% N in June
to 3.07% N in August.
These changes in % N (g dry wt.) for Potamogeton are also reflected in
the carbon to nitrogen atom ratios in plants among the treatments (Fig. 5,
Table B-2). C:N ratios of plants increased in the control ponds from 16 to
19, yet the ratios decreased in the other treatments. The magnitude of this
decrease in C:N ratios among the treatments followed the nutrient application
rate, with the greatest decrease observed in SAV from the high nutrient
treatment. C:N ratios of Potamogeton in these ponds were only 10:1 in August.
These changes in C:N ratio and % N demonstrate the capacity of SAV to take
up N luxuriously in response to increased nutrient loading.
VIII-8
-------
10
PHOSPHORUS
246
DAYS AFTER TREATMENT
Figure 2. Time series plot of inorganic nitrogen (NH^ and NO^) and phosphorus
concentrations (uM) in the pond water at four nutrient treatments
beginning on 16 July, 1981.
VI11-9
-------
150
100
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6/6 19/6 30/6 16/7 28/7 4/8
Figure 3. Concentrations (uM) of total nitrogen, nitrate, and ammonium in
pond water at four nutrient treatments on the third day following
nutrient applications during the summer, 1981.
VIII-10
-------
*
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20 40 60
TIME SINCE INITIAL TREATMENT^
Figure 5. Chanjes in the carbon:nitrogen ratios (atom weight)
in tissues of Potamogeton perfoliatus subjected to
four nutrient treatments during the summer, 1981.
VIII-12
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ILL
Sediment Nutrients
Nitrate concentrations in the interstitial pore waters of sediments were
similar between the low and high nutrient dosed ponds in July (Fig. 6). Neither
were there any distinct trend in NOo of the pore waters in vegetated compared
to unvegetated areas in either pond. In contrast, NH4 concentrations of
the pore waters in the high nutrient dosed pond were consistently higher than
those in the low nutrient pond (Fig. 6). Concentrations ranged from 150 uM
to 400 pM in the former pond compared to a range of 40 pM to 210 pM in
the lower nutrient treatment.
Ammonium concentrations were about 180 pM in the vegetated and unvege-
tated areas of the high nutrient pond in the upper 6 cm. From 6 to 10 cm
sediment depth, NH* 1n the unvegetated areas increased sharply to about
350 - 400 yM, whereas NHt levels in the vegetated cores remained at
concentrations less than 200 uM. In the low nutrient o^osed pond, pore-water
NH. in the vegetated areas was usually only 25% of NH^ concentrations
in unvegetated areas to a depth of 10 cm. Concentrations of the vegetated
areas did not exceed 90 pM, whereas concentrations were generally 180 pM
in the unvegetated areas (Fig. 6).
Denitrification Rates
Nitrous oxide (N20) production in the low NOo dosed core (10 pM)
varied considerably during the first 24 h incubation period (Fig. 7). N20
evolution was low during the first 3 h of incubation reflecting the lag for
acetylene to diffuse into the sediments. From 3 to 6 h a sharp pulse of N20
was produced in all cores. Following this pulse, N20 production rates de-
clined, and differences were observed among cores with and without SAV. The
change in N20 production during the time course can be related to the depletion
of NK concentrations during the experiment. The initial NO^ concentration
was 10 pM in the low nutrient dosage which decreased to about 1.1 pM at
17 h. Since denltrification rates are dependent on NK concentrations, a
reduction in N20 production would be expected as NO^ concentrations in
the overlying water decreased.
The time series of N^O production in the high nutrient dosed cores also
showed a lag in rates during the first 3 h (Fig. 7). No0 production was
generally linear from 3 to 17 h although some decrease in rates was observed
from 17 to 24 h. The change 1n NOjj concentration was from 72 to 4 pM,
and therefore lower N20 production rates at 17 h could be expected because
of the much lower NO^ levels 1n the water column.
Denltrification rates were calculated from changes 1n N20 from 3 to 6 h
for the vegetated and unvegetatad cores of both nutrient levels (F1g. 8). The
rates were significantly greater 1n high dosed cores, with values ranging from
19 to 22 pmol• m"2«h~l 1n low dosed cores and from 44 to 46 pmol«
m"2.h"l under high nutrient dosage (Fig. 8). There were no significant
differences between the vegetated and unvegetated cores for either nutrient
treatment.
VIII-13
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LOW NUTRIENT
HIGH NUTRIENT
0-2
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400
200
400
Figure 6. Concentrations (yM) of nitrate plus nitrite and ammonium in the pore
waters of sediments with and without vegetation in a low and high
nutrient treated pond on 15 July 1981.
VIII-14
-------
-------
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w*
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Figure 8. Denitrification ratas (gmol'm'^h"1) in the vegetated
and bare sediments of a low and high nutrient treated
pond.
VIII-16
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I
Light Attenuation
Epiphytic Solids
The attenuation of PAR by epiphytic solids on-tbe leaves of Potamogeton
followed a negative exponential relation (Y = YO£"U* , r2 =0.8/7:TfiTs
estimate is based on the dry weight of total solids on the leaf surface.
Presumably, the relationship between light attenuation and chlorophyll content
of epiphytes might indicate a greater effect per unit pigment due to high
absorption in the spectral range from 400 to 700 nm.
Mater Column Attenuation
Attenuation of PAR by the water column in experimental ponds was not
significantly different among control, low, and meaium nutrient dosed systems,
but was much greater under high nutrient treatment (Fig. 9). Attenuation
coefficients (K) in the control ponds were about 1 m"*, while values were
slightly higher (1.0 to 1.5m-l) in low and medium nutrient treatments.
Turbidity in high nutrient ponds was significantly greater overall, with PAR
attenuation coefficients averaging about 4.0 nr1 and reaching 8.0 m-1 during
the final sampling. This attenuation coefficient of 4 m-1 represented a
reduction of typical ambient midday light (1200 pE m-2«s-l) from
730 pE m-2-s-l just below the water surface to about 160 uE m-l-s-1
at 0.5 m deep.
High nutrient ponds had elevated concentrations of total suspended solids
and chlorophyll £ compard to other treatments (Fig. 10). Whenever attenuation
coefficients were greater than 3 m~l, chlorophyll a concentrations exceeded
150 vg/t. Chlorophyll £ above 20 vg/t was observed only under high
dosage. However, while total suspended solid (TSS) levels were about 30 mg/t
for control and low nutrient treatments; they were significantly greater (ca.
60 mg/t) in medium and to the high nutrient treatments (Fig. 10).
Plant Biomass
Submerged Vascular Plants
Mean values for plant blomass prior to treatment were slightly higher 1n
control ponds (ca. 120 gdw/m') compared to 80-87 gdw/m^ among the other
treatments (F1g. 11). Biomass Increased 1n all treatments during June and
July to levels ranging from a low of 157 gdw/m2 1n medium treatment ponds to
a high of 237 gdw/m2 1n controls. M1d summer results also showed that Ruppia
dominated the blomass of the control and medium treatments (71 and 63%,
respectively) while Potamogeton dominated the low and high nutrient treatments
(68 and 98%, respectively).
By August the mean total blomass had decreased in the medium and high
nutrient ponds to about 80 gdw/m^, similar to early summer values. Blomiss
1n the low (196 gdw/m2) and control (201 gdw/m2) nutrient ponds were signifi-
cantly higher (p<0.05) than values for the medium and high nutrient treatment.
VIII-17
-------
2
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1
6/6 6/11^ 6/22 7/21 7/24 7/30
Figure 9. Attenuation coefficients
treatments.
of the water column at four nutrient
VIII-18
-------
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rt
Figure 11. Aboveground biomass (gdw/m£) of submersed macrophytes in ponds subjected
to four nutrient treatments. Fertilization began on 18 June, 1981.
VI11-20
I
-------
fi
The biomass loss In medium ponds was marked by a decline In the presence of
Rup£ia from 63% of the total biomass in July (99.2 gdw/m2) to only 7% of the
total biomass in August (6 gdw/m2). Ruppia was sparse in the high nutrient
ponds in July (2% of the total) and absent in the high nutrient ponds 1n August.
By November the effects of the fall senescent period on SAV biomass were evident
in these systems, although all of the ponds except for those receiving high
nutrient dose had some biomass remaining.
Changes in SAV standing crop in the ponds between sampling dates provide
a measure cf net productivity for these submersed grasses (Fig. 12b). There
was an initial pulbe of SAV production in the control pond followed by little
growth during the remainder of the summer. In mid-June SAV net production
ranged from 0.64 gdw m-2»d-l at the low nutrient treatment to 2.77
gdwm~2.d-l at the high nutrient treatment which follows the rank of
nutrient levels applied. By mid-July net SAV production continued to increase
in the low nutrient treatment, but declined slightly in the medium and high
nutrient treatments to about 2.0 gdw-m~2«d~ . Net production of
SAV in medium and high nutrient dosed ponds continued to decrease in August to
values less the -2 gdwm"2 «d"^, while SAV net production in the low
treatment was still positive at 1.2 gdw«nr2-d-l.
Since the stratified sampling strategy for SAV biomass di^ not monitor
unvegetated areas of each pond, total biomass per pond using areal coverage of
vegetation more c'early defines changes in SAV biomass in response to nutrient
enrichment. Incremental changes in this total biomass in relation to initial
pre-treatment measurements are given in Fig. 12a. Both control and low
nutrient treatments exhibited nearly constant increases in SAV biomass during
the summer, and increases in SAV biomass were also observed for medium and
high nutrient treatments from early June to mid-July. However, from mid-July
to mid-August the absolute biomass of SAV in both medium and high nutrient
treatments declined. August biomass levels in medium nutrient ponds remained
at 4 kg dry wt above early June levels, but SAV biomass was nearly 4 kg dry wt
below the initial levels in high nutrient ponds. Therefore the biomass of SAV
in the high nutrient pond showed a significantly greater negative response to
nutrient enrichment.
Epiphytic Biomass
Dry weight and chl-a_ of total epiphytic material was sampled on three
occasions during this experiment, once prior to treatment and twice during
treatment. Epiphytic biomass as dry weight, was always highest for high and
medium treated systems (Fig. 13), with mean values exceeding 3.7 gdw/gdw(plants).
Low dose ponds exhibited a steadily increasing total epiphytic material, where
mean values grew from about 1.2 in June to 2.4 gdw/gdw(plants) in August.
Unfortunately, only one pond could serve reliably as control for this experi-
ment. However, epiphytic biomass in this control pond remained at less than
5% of levels in all other ponds. This control system contained Ruppia maritima
as the near exclusive SAV species, while the two high dose systems were virtu-
ally devoid of this species. However, there was no distinct pattern in the
accumulation of epiphytes of J*. maritima versus Potamogeton perfoliatiis in the
low and medium dosed ponds where both plants were Important" to total biomass
(Figs. 11 and 13). Epiphyte levels were significantly greater for high nutrient
VIII-21
-------
f!
* 60
>s
h.
T3
o»
je 40
CO
(O
O
CO
20
C9
O
A)BIOMASS INCREMENT
CONTROL
LOW ^.-»
... x MEDIUM
*V*J c
HIGH
B) NET PRODUCTION
JUNE
JULY
AUGUST
Figure 12. a) Changes 1n the total biomass of submersed macrophytes
(kg dry wt.) 1n the ponds subjected to four nutrient treat-
ments, b) Average daily changes in the biomass of submersed
macrophytes gdwnr2-d-l) in ponds at four nutrient treatments.
VIII-22
-------
t:
4
> 2
<
CO
o*
X.
«>
•o 4
^
CO
o 2
o
H
CONTROL
LOW
Potomog«ton
Ruppia /
1 ^Ss
•".'•• 1 "•••: 'Vy
£% ^ ^^
(O
CO
< 4
2
O
CD 2
UJ
Q.
0. 4
UJ
2
MEDI,UM
J , As
•!•. ry>
• '.••/ /^^
! S ifi^
;:.{i^ v^'X
,i,
•;''•'•
•'."."•/
//
//
//
\
HIGH
fi
: I i
JUNE JULY
'•*•'.
• *.*
• * « *
•"* * "
\
i .
i
1
AU6
Figure 13. Epiphyte biomass (gdw/gdw(S/W)) on Ruppia
and Potamogeton perfoliatus in ponds subj
maritime
ected to
four nutrient treatments. Fertilization began after
the June measurements.
VIII-23
-------
treatment than for low or control, whereas medium dosed epiphytes were signlfi-
cantly different only compared to controls.
Epiphytic chlorophyll-^ biomass shows a much clearer response to nutrient
treatment, although data from a control pond (#1) was not considered (Fig. 14),
Chi-ai measurements were less than 0.3 mg/gdw(plants) at pretreatment for both
specTes. By August, chlorophy!1-a_ remained at this pretreatment level v,n
Ruppia in the control pond, while concentrations on Ruppia and Potamogetpn
increased in relation to nutrient treatment up to 1.6 mg/gdw(plant) in the
high nutrient pond (Potamogaton) (Fig. 14). The most dramatic Increase in
chlorophyll-a occurred on Potampgeton in the high nutrient applications of
nutreints. The chlorophyl1 -£ biomass increased from 0.07 to 1.58 mg/gdw in
one month. This Increase represented a shift in the chlorophyll-a: total
solids ratio from 0.003 to 0.054, compared to a change of about 0.012 to 0.018
in the other two treatments for Potamogeton.
Plant and Epiphyte Productivity
Plant Production and Respiration
Diurnal patterns of apparent production of P. perfoliatus (Fig. 14) show
unvarying rates from 1100 - 1600 h on a cloudlesT summer day (15 June 1981).
Production:respiration ratios (P/R) were also remarkably constant during
this period at about 1.8. In contrast, apparent production rates of £.
maritima exhibited a distinct temporal sequence, with rates at midday"~nearly 4
times greater than morning and afternoon rates, which were similar. Respira-
tion, however, was constant during the day for R. maritima, resulting In a
range of P/R ratios from 1.8 In the morning to.lT./.at midday. The peak apparent
production rate for Ruppia was 10.2 mg 02»gdw~1»hi compared to
8.1 mg 0«gdw «h for Potamogeton.
mg O^^gdw "h"1 for Potamogeton.
Vertical distribution of production along plant stems was also different
>en these two species (F1g. 16). Net production varied line
length of Potamogeton ranging from 5 mg Ogdw^h'1 for the top
between these two species (Fig. 16). Net production varied linearly along the
»ton ranging from 5 mg C»gdw~*»h~l for the top 5 cm
section to 1.2 mg Ogdw-l«h-I for the bottom section, more than 45 cm
from the tip (F1g. 16). However, net production was nearly constant along the
length of Ruppia at about 3.5 mg C^gdW^h'1. The quantity of PAR
available from the water surface to 0.5 m 1s also shown in Fig. 16, and Ind-
icates that it was 1n excess of saturation values for photosynthesis (300-600
E1n nT2s'l) for both Potamogeton and Ruppia.
The internodal length (i.e., distance between leaf rodes on the stem)
ased along
plant to greater
decreased along Potamogeton from less than 1.0 cm in the terminal 10 cm of the
reater than 2 cm at the base. Since the merlstem of Potamogetpn 1s
terminal, the leaves at the tip are usually younger than leaves in the basal
section. The branching of Ruppj a 1 s more consistent along the length of the
plant and these branches, even those near the base of the plant, are long
enough to reach the surface of the water. Therefore the net productivity dis-
similarities of these two submerged species seems to be a result of the
morphological arrangement of the photosynthetic structures along the stem of
the plants.
VI 1 1-24
-------
2.0
< i.o
CO
•o
>•*
ol
J. 2.0
.c
o
6 1.0
CO*
CO
<[
jg
O
5 2-0
UJ
t 1 0
>- ••u
X
0.
Q.
!.•
CONTROL
f^+ffmf f^*+f*m lf*^4v^V
LOW
i— 4.«*_>_ -' '•' /* Jl
PtfTT^?^ ; ' '. '7>^/l • :. I '.' y^J
MEDIUM
Ruppio ,
* • • • *
i ^^^^^ t '•• • •.
^^^ ;;;^ ;^.^
2.0
1.0
Hl<
- Potamogeton ^^
trr-r\
3
/
/
/
H
£
/
.1 ,
I
JUNE JULY
AUG
Figure 14. Epiphyte biomass (chl-a/gdw (SAV)) on Ruppia marltlma
and Potamogeton perfolTatus in ponds subjected to four
nutrient treatments. Fertilization began after the June
measurements.
VIII-25
-------
BOO
400
CC
<
CL
8
I
•
I
•o
CM
O
8
1000
PAR
SURFACE
POTAMOGETON
1200 1400
TIME.h
1600
Figure 15. Photosynthetic active radiation (yEin-m'2^"1) at the water's
surface and at 0.5 m depth from midmorning to midafternoon
along with measurements of apparent production (Pa) and net
respiration (Rn) for Ruppia maritima and Potamogeton
perfoliatus.
VIII-26
-------
'Hid 30
Figure 16. Net photosynthesis (ing C«gdw~l'h'l) along tha length
of Potamogeton perfoliatus and Ruppia morltima cleared
of epiphytic material.Included is the amount of
photosynhtetic active radiation (yEin'm"2^'1) from
water's surface to 0.5 m depth.
VIII-27
-------
Plant/Epiphyte Relations
Apparent production of Potamogeton taken from a low nutrient pond, was
.«.. *h,» c „„ n ^^...-i.u-i f0r the tip sections, with rates above
for plant tips cleaned of epiphytic
greater than 5 mg {X^gdw 'h"1 fc
8.1 mg Op'gdw «h on two dates
mater (Fig. 17). Pa of the basal
(Fig. 17). Pa of the basal sections of Potamogeton was always lower
than rates for the tip ranging from 4.8 to 6.0 mg 0^* gdw »h (55% of
Pa for the 0-10 cm sections). The combined Pa of plant and epiphytes ranged
from 11.2 to 12.4.mg Oo-gdw -h for apical portions, and 5.8
to 7.2 mg ^'gdw'1' h~* for lower stem. In all cases, plar.ts domin-
ated total apparent production in the low nutrient pond. Epiphyte levels on
Potamogeton in this pond were less than 2.0 gdw/gdw(SAV).
Peak Pa for Potamogeton from high nutrient ponds was only 4.0 mg 03*
gdw'1'!!'1 (Fig. 17). This rate was for a tip section of the plant
which had 1.40 gdw/gdw(SAV) of epiphytes, which was the lowest epiphyte biomass
value observed on the plants tested in this pond. At epiphyte biomass levels
above 3.0 gdw/gdw(SAV), SAV production was less than 1.0 mg 02«gdw"1-h"1,
which occurred for both the tip and basal sections of Potamogeton in August.
Although the contribution of SAV to total production was minor, the elevated
epiphyte biomass resulted in total Pfl (epiphyte plus SAV) >.5 ;ng 02*gdw"1«h"1
for July and August with a peak value of 8.0 mg O^gdw »h . The
contribution of epiphytes to this production ranged from 58 - 100%.
SAV respiration ranged from 0.30 to 2.45 mg 02-gdw"1'h"1 with an
average of 1.4 mg Oo-gdw «h for Potamogeton from the low nutrient
treated pond resulting in P:R ratios from 4.0 to 30. P:R ratios for epiphytes
from this pond ranged from 0 to 3.6; therefore the total production of the
SAV/epiphyte community was always greater than total respiration at an average
ratio of 4.4 (Table E-l). Respiration of Potamogeton from the high nutrient
treatment ranged from 0.40 to 6.03 mg Q^-gdw »h with an average of
1.9 g Og'gdw »h . These higher respiration rates together with re-
duced net production values resulted in much lower P:R ratios ranging from 0
to 9.8. Only 2 of the 5 measurements of SAV metabolism from the high nutrient
treatment had P:R ratios greater than one. Although the P:R ratios of epi-
phytes from this treatment were similar to those ratios for epiphytes from the
low nutrient pond; the total P:R ratio of the SAV/epiphyte community under
high nutrient application was only 1.8 compared to 4.4 for the low nutrient
treatment.
These data are based on DO changes of epiphytes 1n one chamber and epi-
phytes plus SAV in the other. By subtracting these res-ilts, the partitioning
of production and respira'cion of .just SAV and epiphytes were calculated for
each experiment. The uptake of C-C02 by epiphytes and SAV gives a more
direct measurement of the relative net productivities of these plants under
varying levels of epiphyte biomass.
Net production (as C-CO? Incorporation) for the 0-15 cm section of
Potamogeton decreased to 73% of control values at an epiphyte density of
5.04 gdw/gdw(SAV). However, the total net production of the epiphyte and SAV
VIII-28
-------
12 -
8 -
T «•
CO
Mr
-
1
m
fffl
• •• ji
L(
DW
$'.•5:
v :':•":
•V'-'i
• • • •
• • ^
NUTRIENTS
.>•*•.•.{
\<-:-.:.r
1
^
I
1
l|
•::\j%1
%
• • • *
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;:i;>:Ci
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$
• • • •
It * ft
*1
2 12
O
00
LU
8 H
4
(-f)
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' E3 Epiphytt P0
. E3 SAV P0
0 SAV Rn
• ESI EpiphyU Rn
"
' S,
5^ I
• • • '
B * * •
•
>^;-v
^
f::.-x\
W-
i
Y/<
* • * *
NUTRI
&$
• •£•
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>^8
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tt
7 1-
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1
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r
It .
EN
Si
:.:.:':"?;
!'•'.'.** 15
II
;'•';"•;«
:::H^
• IV •/!
• . .
• •
• •
• •
• •
•
• •
» •
T
S
',
•
>
tt.
• • *
• •
•
T * d
TIP
I8JUN
TIP BASE
15 JUL
Tl? BASE
5 AUG
Figure 17. Apparent production and net respiration [mg 02 (9 dry wt.
SAVJ-l-h-1] of Potamogeton perfoliatus and associated epi-
phytes from a low nutrient and a high nutrient treated
pond.
VIII-29
-------
community increased from 5.09 nig C-gdw-^h'1 (control) to 7.79 mg
C-gdw-Lh-1 at this high epiphyte biomass level (Fig. 18). This was
an increase of 153% of the net production of nonepiphytized plants. At the
same epiphyte biomass level, net production of the 15-55 cm section of Pota-
mogeton decreased to only 56% of the control. As observed for the tip oTTota-
mogeton. the basal section of the SAV/epiphyte community increased in totTT"
-l-h'1 (control) to 3.78 mg C-gdw-^h'1
net production from 2.32 mg C-gdw
(163%). At medium levels of epiphyte biomass, which ranged from 1-2 gdw/gdw(SAV),
the net production of neither the tip nor basal sections of the plant were
affected by the fouling.
Epiphyte biomass was much lower on Ruppia compared to Potamogeton at 0,49
and 0.39 gdw/gdw(SAV) for tip and base, respectively. However, the reduction
in photosynthesis on these plants was much higher at 67% of the control for
the tip and only 23% of the control for the basal sections. Also in contrast
to Potamogeton, the total community net production of the lightly fouled Ruppia
was lower than the controls. Therefore epiphyte production was not enough to
compensate for the reduced net production of Ruppia due to epiphytic fouling.
Community Photosynthesis and Respiration
Apparent production in control and low nutrient pond communities exhibited
similar patterns with an increase in net production during the latter week of
July followed by a slight decrease in mid-August (Fig. 19JL The peak production
rates in these two treatments were 8.71 and 8.23 g 02 • m «d ,
respectively. Through June and mid-July the medium and high nutrient dosed
ponds also increased in net production with peak values of 11.05 and 12.93 g
CU»m »d , considerably higher than for control and low treatments.
The peak increase in net production rates in these two treatments was about
4.5 g O-'irf^'d'1 above pretreatment values, and the increase
occurred sooner in the high dose pond compared to medium nutrient treatment.
This rate of change in net production during the summer was more than double
the Increases observed in both the control and low nturient treatment (F1g. 20).
Following these late July peaks, community Pa decreased In the control,
low, and medium nutrient treatments by similar magnitude during August.
However, only the medium nutrient pond had net production values greater than
pretreatment values. Net production 1n the high nutrient oonds declined dras-
tically during this period to levels more the 3.0 g 0? nT^d"1 less
than pretreatment values. Thls.decline 1n net production represented a total
decrease of more than 7 gO^'m" 'd"1 during a 10-day period, and
1t 1s coincident with the observed loss of SAV. Only under high nutrient dosaged
did P:R become less than 1.0. From the end of July to mid-August the P:R
ratio of these ponds dropped from 1.5 to 0.6.
DISCUSSION
Nutrient Uptake from the Water Column
Uptake rates of dissolved Inorganic nitrogen and phosphorus from the
VIII-30
-------
CONTROL
POTAMOGETON
MEDIUM
HIGH
SURFACE
E
I
H 0.25
CL
UJ
O
0.50
Plant
Epiphytes
2468 2468 2468
PHOTOSYNTHESIS.mgC-gdwfSAV)-'.!.-1
RUPPIA
SURFACE
jf 0.251
a.
UJ
o
0.50
C<
'•:;• :•.*•
•"• •* • * *. *
'•':'•'••
* , . ". » •
3
i
.•
NTROL
Plant -^
''• '
•*#
•V
MEDIUM
• • •
'. .';
Epiphytts
i i i i
2468 2468
PHCTOSYNTHESIS.mg C-gdw (SAV)"'. h-1
Figure 18. Net photosynthesis [mg C (g dry wt. SAV)'1^'1] of the tip (0-15 cm)
and basal (15-50 cm) sections of Potamogeton perfoliatus and Ruppia
maritima and associated epiphytes.
VIII-31
-------
I
•o
*>•
N
o 8
c
o: 4
c
•
-4
•,
, 8
4
0
O
O
Figure 19.
CONTROL
%
y*,
I
i
LOW
I
MEDIUM
pb
HIGH
6 23 24
JUNE
^
Ki
16T 17 23 T 30 31
JULY
^
i
* 10 1!
AU6
Photosynhtesis and respiration (g Oc«m" »d" ) of the pond communities
at four nutrient levels during summer of 1981.
VIII-32
-------
I1
O
o
O
O
tr
a.
!~-2
X
a
CHANGE IN
COMMUNITY METABOLISM
1 Medium
Control
\* Low
i
i
JUNE
JULY
AUGUST
Figure 20. Changes in net production (g 0-ni~3.d"l) of the pond communities
at four nutrient treatments during the summer of 1981.
Fertilization began after the June measurements.
VI11-33
-------
r
water column appear to have been dependent on concentration (Fig. 21). Uptake
(of NOj and NH^ were similar between 0 and 10 yM N; above this concentr-
ation NH4 uptake rates were much higher, indicating a preference for NH^.
At about 60 yM N the uptake was only 18 yM/d for NOo compared to
30 uM/d for NHj. The curves in Fig. 21 suggest that NOj and NHj
uptake by these SAV communities was diffusion-limited without clear indication
of saturation up to 90 uM. Other investigators have, also, reported a prefer-
ence of NO: over NH+ for various SAV species (Nichols and Keeney 1976;
Best 1980; lizumi and Hattori 1982) as well as phytoplankton (McCarthy et al.
1976).
These NO^ and NH^ uptake curves are similar to patterns of nutrient
uptake observed elsewhere for £. perfoliatus. Laboratory uptake studies have
shown that NH^ uptake by shoots of P. perToTiatus is 10 times greater than
N(C uptake (Stevenson et al. in prep)/Field studies in P. perfoliatus
beijls along the Choptank River estuary using 0.51 m deep chambers revealed that
NH4 uptake rates were similar to those for NOj at+N concentrations up
to about 30 yM, but at concentrations > 75 yM, NH* uptake rates were
generally twice those of NOj (Kaumeyer et al. 1981). Thus, it appears that
SAV communities have a higher absorption capacity for NO^ and NH^ compared
to plankton communities, and that the absorption rates for NH^ are much
higher compared to NOj uptake.
Nitrogen Uptake and Storage by SAV
The relationship between tissue nutrient content of aquatic plants and
nutrient enrichment observed in this study has two important ecological implica-
tions. Tissue nutrients in aquatic plants have been proposed as an indicator
of the nutrient status of their ecosystem (Gerloff and Krombholz 1966; Fitz-
gerald 1969; Gossett and Morris 1971; Adams et al. 1971, 1973; Seddon 1972).
Also, aquatic plant communities may be managed in a variety of schemes for the
treatment of nutrient wastes with subsequent economic benefits from the
increased nutritional quality of the plants (Boyd 1970, 1971; Siedel 1971;
McNabb 1976; Wolverton et al. 1975).
In this study, N content of Potamogeton leaves and stems increased markedly
in proportion to nutrient enrichment. The maximum t i ss> iie™F~cTjn~c"eTrt"r"attwt
(3%) was observed in the high nutneTit treatment (120 yM N/wk). In contrast,
tissue N concentration of Potamogetpn growing in ambient estuarine waters was
only 1.2% N. Nitrogen content of plants at low and medium treatments were
intermediate, both being about 2% N.
Boyd and Scarsbrook (1975) also observed significant increases in tissue
N of Eichhornia crassipes for fertilized ponds; however, there was little
distinction in tissue N (1.8%) among various nutrient enrichments ranging from
7 to 35 yM N per week. Under laboratory conditions, media concentrations of
3000 yM N were required for the blades and floats of E. crassipes to reach N
concentrations of 2.0% (Gosset and Norris 1971). A cHange in N content for
Vallisneria americana from 1-2% in the laboratory occurred in response to an
increase from 500 to 2000 yM (as NOo) in the growth medium (Gerloff and
Krombholz 1966). Our study indicates that P. perfoliatus with tissue N >
1.5% may be an indication of a nutrient enrTched environment, although precise
VI11-34
-------
V)
V
VIII-35
-------
relationships to the "trophic" status of those waters await further study.
Luxurious accumulation of nutrients in submersed aquatic plant communi-
ties has been used successfully in ameliorating nutrient waste problems
(Sinclair and Forbes 1980). Gerloft and Krombholz (1966) showed that J/.
americana accumulated nearly 75% of the N in growth media ranging from 15C to
3000 uM N, while at 6000 yM the percent recovery dropped to 56%. During
their study, plant growth rates remained relatively constant while N content
of plants increased. In our experiment, both SAV productvojT^ajjdJMjisue N
increased with fertilization (Fig. 22). It appears fhait growth was stimulated
in associated' with tissue N >1.5%, which is similar to the critical concentra-
tion of 1.3% N proposed by Gerloff and Krombholz (1966). Nutrient amended
plants accumulated about 1.45 g N/m' more than plants in unfertilized ponds
in July. This excess accumulation was due to Increased tissue nitrogen and
biomass production for all nutrient treated ponds (Table 1). The percentage
of applied nitrogen that was recovered in SAV biomass ranged from 113% in
the low nutrient ponds to 30% for the high nutrient treatment (Table 1). By
13 August following six applications of nutrients to the ponds, the percent
recovery of the applied N by SAV tissue changed dramatically. Results for the
low nutrient treatment were similar to that observed on 13 July (127% recovery,
Table 1). However, N incorporation in the medium and high nutrient ponds dropped
to 9 and 7%, respectively. Similar results were observed in pond fertilization
studies with JE. crassipes, where at 4 and 8 uM N treatments the plants
recovered larg"e amounts of N; but at the 34 pM N treatments recovery was
minimal (Boyd & Scarsbrook 1975).
This change in the pattern of N accumulation by SAV can be explained by
examining the relationship between tissue N concentrations and SAV biomass
production on 13 August (F1g. 22). Low nutrient treatments resulted 1n an
Increase in biomass production and an increase 1n tissue N concentrations to
1.8% in July. However, even though tissue N concentrations were greater than
2*0% 1ft the high nutrient ponds, SAV production was negative by as much ps 3.0
gdwm-2. d-l (Fig. 22). In short-term laboratory studies where ^
plankton populations are controlled, SAV growth 1s observed for all nutrient
amendments. In these field experiments, SAV biomass decreased under highly
eutrophic condiTions. Therefore, eventhough the tissue N of SAV may increase
in response to nutrient enrichment; the "nutrient buffering effect" of SAV
is operative only under moderate eutrophic environments. i
The luxuriant consumption of nutrients by aquatic plants may not only
ameliorate moderate eutrophic conditions; but also Increases the nutritional
quality of the macrophytes. In this study, an increase in nutrient enrichment
resulted in a proportional decrease In tissue C:N ratios of SAV. Presumably
this Inorganic nitrogen was converted to ami no adds and proteins which would
increase the value of SAV as food (direct or indirect) for fish and waterfowl.
For macroalgae some of this excess tissue N may be stored as NO^ rather
than protein (Wheeler and North 1981). Although 1t has been shown that season-
ally elevated tissue N is usually proteinaceous (Best 1977), further studies
are needed to determine the chemical nature of accumulated N in SAV in response
to fertilization.
VII I-36
-------
\
y
M
'E
13 JULY
O
O
O
cr
Q.
5 0
O (-)
CD
I
-I 2
O.
1.0
1.5
2.0
2.5 3.0
13 AUGUST
1.0 1.5 2.0 2.5 3.0
TISSUE NITROGEN (%)
Figure 22. The relationship between tissue nitrogen content (%)
and biomass production of submersed macrophytes
(gdwm-2«d-l).
VIII-37
-------
Table 1. The amount of nitrogen applied (g/m2) compared to the amount of nitrogen
recovered in plant tissue (g/m2) above controls for three nutrient enrich-
ment treatments.
NUTRIENT ENRICHMENT
LOW
13 July
Nutrients Applied 1.26
(g/m2)
Nutrients Recovered 1.42
in SAV (g/m2)
% Recovery 113
13 August
Nutrients Applied 2.52
Nutrients Recovered 3.19
in SAV (g/m2)
% Recovery 127
MEDIUM HIGH
2.52 5.04
1.40 1.49
56 30
5.04 10.08
0.47 0.72
9 7
VIII-38
-------
,^ Sediment Nutrient Dynamics
1
Denitrification rates measured in the low (~20 mol N m-2 h-1)
and high (~40 pmol N»m-2«h-l) nutrient treatments were within the
typical range of 10-100 ymol N«m-2.h-l previously reported for
denitrification in estuarine sediments (Sorsenson 1978; Koike and Hattori
1979; Cren and Blackburn 1979; Seitzinger et al. 1980; Henrikson et al. 1981;
Nishio et al. 1982). Denitrification rates in our study responded to NO,
enrichment; however while NOo levels were increased by a factor of 7 (10-70
the denitrification rates only doubled. This is consistent with the kinetic
relations reported by Billen (1978). Koike and Hattori (1979) and others who
indicate that K$ is about 30-50 uM NO^. Although denitrification
appears to have responded to eutrophication, the rates observed in this study
accounted for only 3-6% of the NO, applied weekly to the water column in
the low nutrient pond and 2-4% in the high nutrient pond. Assimilatory uptake
was the dominant process causing loss of NOo from the water column in
these ponds following fertilization.
Oxygen transport to estuarine sediments can be facilitated by the presence
of seagrasses (Oremland and Taylor 1977; lizumi et al. 1980) which may promote
nitrification in otherwise anaerobic environments. This enhancement of N£
production should increase denitrification rates if NOj is the limiting
factor. In this study we did not observe significant differences in denitrifi-
cation rates between vegetated and unvegetated sediments in either the high
or low nutrient treatments. Bremner and Blackburn (1979) reported that acetylene
inhibits nitrification as well as denitn*' ;ion in agricultural soils, so
that our acetylene-blockage technique may i,.,* have been appropriate for detecting
such nitrification related effects.
The significantly lower NH£ concentrations in the interstitial waters
of vegetated sediments in the low nutrient pond may reflect root uptake by
SAV. The average NH4 difference in a m of sediment, 10 cm deep, between
vegetated and unvegetated sites was 140 yM. Based on a bulk density of 1.8
g/cm3 and 20% water content for these sediments described above, this is
equivalent to 6300 umol N. Root biomass in this pond was 20 gdw/m2 and
root uptake was about 4 yg-at N«gdw-l« h-1 (Stevenson et al., 1n prep.;
resulting in total SAV uptake of 1900 ymol N«m-2«d-l. This is
equivalent to 30%/d of the difference between these two areas and represents
a turnover time of 1.4 and 4.7 d of the sediment NH^ pools in the low and
high nutrient treatments, respectively.
Algal Response to Nutrient Enrichment
There have been numerous experimental studies of phytoplankton response
to nutrient enrichment in microcosms of various sizes and shapes. Generally,
these studies have observed rapid response of phytoplankton Pa to fertiliza-
tion (e.g., Edmondson and Edmonson 1947; Edmondson 1955; Abbott 1967, 1969;
Dunstan and Menzel 1971) and elevated but variable algal populations and chlor-
ophyll a concentrations (e.g., O'Brien and de Noyelles 1974; Gamble et al.
1977). Typically, the phytoplankton response 1s not linear with respect to
nutrient additions (O'Brien and de Noyelles 1977; Gamble et al. 1977; Nixon,
personal communication), and a variety of factors may be responsible for
VII1-39
-------
r
mollifying or exacerbating this relation. These include nutrient interactions
with sediment, grazing on plankton, competition with periphyton and macrophytes,
or limitation by carbon or other requisite substances.
Several studies have involved fertilization of experimental systems con-
taining submerged vascular plants, and these have similarly observed increases
of phytoplankton biomass at high doses. However, a much reduced response was
reported at low and moderate nutrient doses, perhaps, as a result of competi-
tion with macrophytes (Mulligan and Baranowski 1969; Mulligan ?t al. 1976;
Hall et al. 1970). In a recent paper Phillips et al. (1978) argued that phyto-
plankton response was a secondary effect of fertilization, following initial
periods of prolific epiphytic growth. Apparently, this increased phytoplankton
growth in response to nutrient additions is not confined to microcosms and
occurs also in nature, as strong correlations between the two have been ob-
served for lakes (Schindler 1978) and estuaries (Boynton et al. 1982).
Phytoplankton biomass (chlorophyll a) exhibited a strong and very signifi-
cant increase under high nutrient treatment in our experimental ponds (Fig. 23).
However, low and medium treatments seemed to have little effect on plankton
biomass. While this comparatively reduced phytoplankton response seen at moder-
ate treatments may be a result of the inability of our sampling scheme to
detect ephemeral blooms (with measurements 1-3/wk), it may also indicate an
inferior ability of phytoplantkon to compete with SAV and their epiphytes for
limited nutrients. We did see increases in chlorophyll a of 1-2 orders of
magnitude occurring at high treatment over the course of~l-2 days (Table C-2),
suggesting the highly variable nature of these populations. For the most part,
when chlorophyll ^ levels were > 2 ug/t , plankton communities were
virtually monospecific, dominated by small coccoid chlorophytes. Undoubtedly,
the low mixing rates in these ponds influenced competitive selection conferring
advantage to motile and bouyant species. Other investigators have also reported
widely fluctuating chlorophyll a levels in response to nutrient additions
(Edmondson 1955; O'Brien and deFToyelles 1974) and have attributed this erractic
behavior to such factors as pH (carbon limitation) and grazing. Water column
attenuation of PAR followed a similar pattern relative to treatment, while
total seston exhibited a small but statistically insignificant increase with
treatment (Fig. 23). Thus, it appears that living phytoplankton cells generally
represented a small fraction of the total seston, but exerted a large effect
on PAR attenuation.
Over the last decade an expanding literature has suggested that growth of
epiphytic algae in response to fertilization may be more important than phyto-
plankton relative to effects on submerged vascular plants (Moss 1976; Phillips
et al. 1978; Cattaneo and Kalff 1980; Harlin and Thome-Miller 1981; Sand-Jensen
and S0ndergaard 1981). Interpretation of these data is complicated by the
fact that micro and macro-algae may exhibit differential responses in time
(Phillips et al. 1978; Harlin and Thorne-Miller 1981), and there are no previous
controlled experiments in brackish or marine environments.
In our study epiphytes exhibited a different response to fertilization
than did phytoplankton, where all treatments (low, medium and high) experienced
elevated levels of epiphytic material compared to controls. By the final
sampling in August, epiphytic material averaged 0.1, 1.9, 2.8 and 2.9 g/gdw
(SAV) for control, low, medium and high treatments, respectively (Fig. 13).
VI11-40
-------
2 E
o ^r
UJ
U_
UJ
o
50
_ 40
o| 20
_J
S I0
0
x 40
o»
E
- 30
O
H 20
UJ
10
0
PAR ATTENUATION
(7.2)
(210)
"
PLANKTON CHLa
SESTON
CONTROL LOW MEDIUM HIGH
NUTRIENT TREATMENT
Figure 23. The response of photosynthetic active radiation (attenuation
coefficient, K) , plankton chlorophyll a_ (urn/ft) and total
sestion (mg/K,) of the water In pond mesocosms subjected to
four nutrient treatments.
VIII-41
-------
T!
The same rank occurred for epiphytic chlorophyll-a which averaged 0.08, 0.37,
0.75 and 1.58 mg/gdw(SAV) in August (Fig. 14). TFe levels of epiphytic mate-
rial in nutrient treated ponds are similar to those observed by Staver et al.
(1981) for Chesapeake Bay and by Menzie (1979) for Hudson River upper estuary.
Control levels are comparable to those observed by Staver et al. (1981) at
Parson's Island in July. It appears that in the competition for light and
nutrients between phytoplanktonic and epiphytic algae, the latter have an
edge under all but the most extreme nutrient additions where phytoplankton
are very competitive.
PAR Attenuation by Algal Biomass
An effect of nutrient-stimulated algal growth, which is of importance for
the production of submerged vascular plants, is the attenuance of PAR. In our
experiment PAR downwelling attenuation coefficients (K) exhibited a moderate
but statistically significant correlation (r2 = 0.32) with total seston
(Fig. 25A). The slope of this relation (0.0396) is about twice that which we
determined experimentally (0.0174) for inorganic sediments (Kemp et al. 1981),
suggesting that a greater percentage of the material suspended in the ponds
was pigmented (so as to absorb rather than merely reflect efficiently in the
400-700 nm wavelength range). Another indication that higher values of K were
associated with fertilized systems is seen in Fig. 24B, where a strong correla-
tion (r2 = 0.69) is obtained between total nitrogen in the water column and
PAR attenuance.
Overall, the relation between K and planktonic chlorophyll ^ was vari-
able, particularly at low pigment levels where other materials dominated the
seston (Fig. 25A). However, if we consider only the few instances where algal
cells comprised a major fraction of sestion (>10%), a very strong correlation
occurs (r2 = 0.95). Here (Fig. 25A) we estimated dry weight of algal cells
by assuming a carbon:chlorophyll £ ratio of 100 (Hunter and Laws 1981) and a
dry weight:carbon ratio of 2.5 (Parsons et al. 1961). The slope of this cor-
relation (0.0146) is remarkably consistent with low Input of Inorganic sedi-
ments (Riley 1956; Scott 1978). These values, however, are about twice those
obtained experimentally for pure algal cultures of Dunallella sp. and
Pseudoisochrysis sj>. (0.0061 and 0.0081) at our laboratory (Kemp et al. 1981),
or those reported elsewhere (e.g., Parsons and Takahashl 1973; Bannister 1974).
This discrepancy is likely attributable to the additional presence of consider-
able amounts of plankton detritus and Inorganic solids 1n pond water columns.
Epiphytic material also reflects and absorbs PAR before reaching SAV leaf
surfaces. We obtained an excellent regression between PAR attenuance
through a plane and epiphytic biomass (r* = 0.87) with a slope of 0.36%
(mg/cm2)-l. Surprisingly, this 1s very similar to the relation obtained
for seston (with some simple unit conversions, the slope becomes 0.396% (mg/
cm2)"*), suggesting that the attenuance properties (per unit wt.) of seston
and epiphytes are comparable.
Several previous studies have examined this relationship between epi-
phytic material and attenuance. Phillips et al. (1978) measured attenuations
at several wavelengths for glass slides colonized by algal epiphytes. They
provide cell counts as a measure of biomass, and we converted these to mg
VII1-42
-------
r:
. 2
h- I
UJ
U
u.
U
o
o
h-
< 3
tu
I-
I- 2
A)
PAR ATTENUATION VS. SESTON
H
Y-0.0396 (X)+0.39
(r2-0.32)
10 20 30 40 50
TOTAL SESTON,mg/l
u B)
PAR ATTENUATION VS.TOTAL N
Y-O.I27(X)+0.66
(r2-0.69)
25
50
75
100
125
TOTAL NITROGEN,/JM
Figure 24. Correlations among the attenuation of photosynhtetic active radia-
tion of the water column in ponds treated with nutrients and A)
total seston concentration (mg/fc) and B) total nitrogen concentration
(um).
VIII-43
-------
E
~L 4
A)
PAR ATTENUATION
VS. PLANKTON CHL a
o
LL
U_
UJ
O
O
O
H
UJ
80
!20
160
200
. 150
UJ
e>
<
H-
O
100
50
B)
TOTAL NITROGEN VS. PLANKTON CHLa
- /
40 SO 120 160
PHYTOPLANKTON CHLa,/jg/l
200
Figure 25. Correlations between A) attenuation coefficients for photosynthetic
active radiation and plankton chlorophyll a_, and B) total nitrogen
concentrations (um) and plankton chlorophyll a_ 1n water column of
ponds treated with nutrients.
VIII-44
-------
dry wt. using chl a/cell data of Hickman (1971) from a nearby locale and dry
wt/chl a data of STaver et al. (1981). The resulting relationship for 3 levels
of epipFyte colonization is almost identical with ours, where 10 mg/cm2 results
in about 84% absorption and 2 mg/cm2 causes 52% absorption at 615 nm. On the
other hand, the data of Borum and Wiurn-Andersen (1980) indicate a less pro-
nounced effect, so that 12 mg/cm2 results in only 56% reduction in PAR.
Presumably, the epiphytic material in the latter study contained a greater
percentage of nonabsorbing inorganic particulars. Finally, the extensive
relationships reported by Sand-Jensen and S0ndergaard (1981) for 4 Danish
lakes appear to be very similar tc those observed in the present study. Un-
fortunately, each study has reported the results in different units, so that
these comparisons must be considered tentative.
Epiphyte Effects on SAV
The development of epiphytic communities on SAV leaves can reduce vascular
plant production through several mechanisms other than PAR attenuation, in-
cluding the reduction of diffusive transport of N, P and C02. Furthermore,
the relationship between light reduction and loss of photosynthesis is non-
linear except at PAR levels below I|< (intersection of initial slope of
photosynthesis-irradiance curve with maximum photosynthesis value). Thus, it
is important to examine directly the effects of epiphytic material on SAV
photosynthesis.
We tested this relationship between epiphytes and SAV Pa twice, once^n
July usirg 02 production as a measure of Pa, and once in September using C
incorporation. Significant relationships between-reduction in Pa and epiphyte
biomass were obtained (Fig. 26) in both cases (r = 0.84 and 0.69 for Oo
and 14C, respectively). However, the slopes were markedly different, being
three times greater in the earlier study. This may be the result of different
epiphytic communities during the two experiments, where the September epiphytes
were less detrimental per unit dry weight. These experiments were conducted
using natural light incubations, and the slightly higher ambient PAR in Sep-
tember could partially explain this difference in slopes. We can compare Figs.
9 and 27 by utilizing the relationship between leaf area and plant dry wt. for
_P. perfoliatus in these ponds (4.7 x 103 cm2/g, Fig. 27). If there was a
one-to-one relation between light and SAV Pa we would expect about a 90% loss
of Pa associated with an increase from 1.0 to 3.0 g epiphyte/g SAV. In fact,
the September experiment ^..-icts a 27% reduction in Pa, while the July data
indicate a 67% loss of Pa. Thus, the relation to light was not linear for
either experiment.
Other investigators have considered the effects of epiphytic coloniza-
tion on seagrass Pa, but only at a single level of epiphytes. Sand-Jensen
(1977) showed that from darkness to saturating PAR levels epiphyte colonized
Zostera marina exhibited lower Pa than clean plants. The % reduction was
greatest however (ca. 50%) through the initial linear portion of the curve. He
reported inhibition due to epiphytes even at PAR of about 1200 yEln m~2s-1.
Yet, even with an 80% reduction of incident PAR, remaining light would be near
saturation. Sand-Jensen (1977) also showed a reduction in C02 uptake by _Z.
marina due to epiphytes except at the highest concentrations of inorganic
carbon, presumably capable of saturating plant demand. Penhale and Smith (1977)
VII1-45
-------
150
E
o
a?
2 100
H
O
Q
O
(T
0.
Z
Id
ac
<
0.
Q.
50
EPIPHYTE EFFECTS ON SAV
0_- Production
(July)
Y-205.5-51.34 (X)
(r2«0.84
° Ti p, C-lncorporotlon
• BoM,l4C-lncorporatlon
o Ti p, 02 Production
• Bast, 02 Production
o\
\
14
C-lncorporation
(Sipt.)
Y-I2I.O-I4.57(X)
(rz-0.69)
12345
EPIPHYTE BIOMASS.gdw/gdw (SAV)
Figure 26. Effects of epiphyte biomass [gdw/gdw(SAV)l on the normal apparent
production of Potamogeton perfollatus (% of production of plants
cleared of epiphytic material) based on experiments using ^C-
incorporation and dissolved oxygen evolution to measure plant
metabolism.
VI11-46
-------
cn
M 5
E
u
V)
CO
< 3
5
O
00 2
Ld
H-
> I
CL-
E
UJ
EPIPHYTE BIOMASS
PER UNIT WEIGHT VS. AREA
Y=2.60(X)-0.27
0 I 2
EPIPHYTE BIOMASS,gdw/gdw(SAV)
Figure 27. Effects of epiphyte biomass on Potamogeton perfoliatus
expressed as area (mg/cm2) and weight [gdw/gdw(SAV)j.
VIII-47
-------
1
IS
conducted similar experiments, but found little epiphyte effect except above
800 pEin m-2s-l, suggesting that the reduction of diffusive uptake of
minerals (where demand was greatest at high PAR) may have been more important
than light attenuation.
In a recent paper, Sand-Jensen and S0ndergaard (1981) have argued that
light attenuation associated with epiphytic growth exerts a far greater impact
of SAV than that due to phytoplankton in Danish lakes subjected to different
degrees of fertilization. This is probably the case for these lakes where
phytoplankton pigments are < 10 pg/fc and watercolumn attenuation coeffi-
cients are generally < 1.0/m. In the shallow waters of upper Chesapeake Bay,
however, attenuation coefficients of 1-4/m are not uncommon, and chl a typically
ranges from 5-30 pg/4 (Boynton et al. 1981). Most of the attenuation TTere
is probably due to suspended sediments, although plankton are important.
In our nutrient enrichment experiments, both plankton and epiphytes con-
tributed substantially to PAR attenuation, particularly in the high nutrient
dosed ponds. For example, with a typical summer PAR of 1200 uEin nr^s-l
incident at the water surface and a water column K = 3.0/m, there would be 60,
270 and 570 uEin m-2s-l available at the sediment surface, at 0.5 m, and
at 0.25 m depth. Typical values of compensation light levels (Ic) are about
50-75 pEin nr^s-l, so that net production is not possible at the sediment
surface. Given a typical value of epiphytic biomass of 4.0 gdw/gdw (SAV), we
would find 30 and 10 pEin m-2$-l available for leaves at 0.25 m and 0.5
m, respectively, below the water surface. Thus, unless these vascular plants
can adapt by pigment and enzymatic shifts to such rigorous light regimes, they
cannot exist under the combined stress of turbidity plus epiphytic material.
SAV Biomass Response to Nutrient Enrichment
Nutrient loading rates >^ 60 uM N/wk and 6 uM P/wk during the growing
season caused a significant decline in SAV biomass in our pond mesocosms.
Negative biomass responses were not observed until 60 days following the initial
fertilization and can be attributed to (among other things) decreased light
availability in response to increased phytoplankton and epiphyte growth. The
results of this study agree with observations of other fertilization experiments
using ponds, and together these studies show the response of SAV to a gradient
of N and P loading rates (Fig. 28). All of these studies used 710 d fetilization
frequencies for periods ranging from 6-23 wk. Our study is the only nutrient
enrichment experiment reported here on estuarine plant communities.
Loading rates up to 30 pM N/wk and 3.0 pM P/wk above ambient nutrient
conditions resulted in no apparent effect on SAV biomass (Fig. 28). At 50 pM
N/wk and 2.2 pM P/wk Moss (1976) observed lower biomass levels compared to
low nutrient and control treatments. However, at slightly higher N and P
loading rates, Howard-Williams (1981) showed no odverse effects of nutrients
to Potamogeton pectinatus. Above 60 pM N/wk and 6 pM P/wk, SAV consistently
exhibited declines in biomass compared to control treatments (Fig. 28). At
300 pM N/wk and 16 pM P/wk, SAV biomass was completely eliminated in 5 of
6 experimental ponds (Mulligan et al. 1976). Investigators have attributed
differences observed among these studies to species tolerance to nutrient
enrichment (Mulligan and Baranowski 1969, Ryan et al. 1972, Moss 1976). A
VIII-48
-------
JI
12.5
o
10.0
o
-I 7.5
CO
cr
5.0
a.
CO
o
X4
NUTRIENT LOADING EFFECTS
ON MACROPHYTE BIOMASS
-I
o No Effect
+ Biomass Increased
- Biomass Decreased
x Biomass Eliminated
-2
-1
-
I. THIS STUDY
2. Ryan et al.1972
3. Moss 1976
4. Mulligan et al.1976
5. Howard-Williams 1981
45
00
3 05
Y/
v 30 60 90 120" 360
NITROGEN LOADING,/jM/wk
Figure 28. The response of submersed aquatic vegetation in experimental ponds to
various loading rates of nitrogen and phosphorus.
VIII-49
-------
•n
• " range of factors may influence these apparent taxonomic differences; including
* nutrient absorption capacity, adaptations to shading, and high initial biomass
conditions which may have ameliorated nutrient inputs (Howard-Williams 1981).
Thus, all of these studies show remarkable similarity in the response of SAV
communities to increased nutrient loadings.
Response of Community Metabolism to Fertilization
Nutrient enrichment of pond ecosystems is a standard practice for increasing
fish yields by stimulating primary production. In this study, medium nutrient
enrichments of 60 uM N/wk and 6 pM P/wk increased net community production
over controls; however at doubled fertilization rates net community production
declined. Hephner (1962) observed a similar response of fertilized ponds in
which modest nutrient additions resulted in a total production rate of 462.0
mg Om-2.h-l compared to 384.5 mg C-m-2.h-l at higher
fertilization. Although surface photosynthesis were greater at high nutrients,
productivity at lower depths was inhibited from shading by surface plankton.
In our study, high nutrient enrichmnet resulted in a decline in SAV biomass
and a subsequent reduction of total community net production. This decrease
in SAV corresponded to increases in both phytoplankton and epiphytes. However,
since total community production decreased at high dosage, the increased phyto-
plankton and epiphytic growth was insufficient to compensate for the loss of
vascular plants.
The role of SAV beds as habitat and indirect food sources for many sport
and commercial fisheries has been well established for Chesapeake Bay (Boynton
1982). The relative balance between production and respiration (P:R) for
these SAV communities provides an index of their ability to fill this role.
In our study, low nutrient levels resulted in increased P:R ratios from 1.8-2.8;
however, as nutrient levels increased, community P:R ratio decreased to <1.0
(Fig. 29). Under these eutrophic conditions, SAV communities no longer con-
tribute net energy to estuarine food webs . The response of these experimental
estuarine systems to elevated nutrient levels followed the general push-pull
patterns discussed by Odum et al. (1979) for ecosystems under stress.
SAV Strategy for Growth and Production
Net photosynthesis (Pa) of Potamogeton and Ruppia were distinctly differ-
ent in both vertical (along length of the plant) and diurnal patterns. These
diurnal trends suggest that _P. perfoliatus is more responsive to light changes
than is R. maritima. Nonetheless, the total apparent production of both plants
was abouT 25 mg (^•gdw~l»d">l. Respiration was relatively constant
throughout the day for both plants, indicating that production and respiration
may be coupled more closely in R. maritima.
Maximum Pa along the length of Potamogeton was observed in the tip of
I tne plant, whereas Pa in Ruppia was nearly constant along its entire length
(Fig. 16). A gradient or epiphyte biomass with lower concentrations at the
tip has been observed in the field for mature Potamogeton (Staver et al.
1981) and corroborated with data from the ponds. These gradients suggest that
under ambient conditions, the tip of Potamogeton must be paramount to the
VI11-50
-------
0."
3
o
CD
UJ
METABOLIC RATIO
FOR POND COMMUNIT IES
30 60 90 120
NITROGEN LOADING, >uM/wk
Figure 29. The apparent production to nighttime respiration ratio
of ponds at four nutrient treatments.
VIII-51
-------
energy economy of the entire plant, tui ticularly when demands for belowground
production and flowering are included. When this terminal section of Potamogeton
is shaded either by epiphytic or suspended material, the balance between pro-
duction and consumption of energy becomes negative as observed experimentally
in this study (Fig. 17). As the temporally and spatially integrated energy
balance for these vascular plants approaches zero, a shift in reproductive
strategy may become evident.
Potamogeton perfoliatus reproduces sexually by means of seed production
during the summer, and asexually by formation of buds on the apex of rhizomes
at the growing season end. As observed for P. crispus, the advent of a new
growing season for this genus seems to be dominated by asexually produced
propagules rather than seeds (Rogers and Breen 1980). The starch con'ent of
these structures enables plants to grow under adverse environments wh ;h may
exist early in the growing season (Rogers and Breen 1980). Fixed carton must
be translocated from sites of production to storage for this propagation scheme
to be successfull (HarrUon 1978). Under high nutrient conditions, the shading
of the Potamogeton shoot tips may decrease the net energy available for bud
formation In a survey of belowground vegetation in^.our^ experimental ponds
during November, buds were found in all ponds except one of"tHose receiving
high nutrient treatment, which had no belowground vegetation. During the
subsequent growing season, no vascular plants were observed in this pond.
Further studies are needed to investigate factors affecting net production in
these plants, particularly as related to respiration patterns, reproductive
structures and germination success.
SUMMARY
Eight experimental ponds containing submerged aquatic vegetation (SAV)
were subjected in duplicate to 4 levels (including control) of fertilization
from June to August 1981. Nutrients were added on a weekly ccycle with highest
loadings corresponding to those typical for brackish environments in the upper
Chesapeake Bay receiving agricultural runoff. Nutrients were removed to am-
bient levels within 1-3 d following treatment except in the high dose systems
after the fourth application, when NO: levels persisted well above controls
for the entire period. Vascular plant tissue nutrients responded to treatment
with about 3% N at high dosage and 1.2% for controls. It appears that sediment
denitrification also followed treatment level; however, there was no evidence
for any influence of SAV on this process. Seston and, in particular, phyto-
planton chlorophyll ^ increased with fertilization, and pronounced blooms were
evident under high dosage. Of the total seston, phytoplankton exerted the
greatest influence on attenuation of photoysnthetically active radiation
(PAR), so that there was insufficient light for SAV growth at the sediment
surface during blooms. An extensive epiphytic community developed on plants
in all nutrienttreted ponds at densities similar to those observed in nature
on senescent plants. Atter.uation of PAR by these epiphytes was considerable,
with >90% absorption and reflection of incident radiation resulting from typical
epiphytic densities in treated systems. However, without any PAR attenuance in
the overlying water, such epiphytic growth would be Insufficient to reduce
light below photosynthetic compensation levels, and net SAV growth could occur.
Thus, PAR attenuation by both seston and epiphytes is necessary to effect
VIII-52
-------
plant mortality. In fact, SAV biomass decreased significantly in high treatment
compared to controls within 60 d following initiation of the experiment. More-
over, the integrated primary production of these entire pond communities was
significantly reduced with the loss of SAV, eventhough phytoplankton and epi-
phytic growth were enhanced. This premature loss of SAV may only amount to a
shortening of the growing season rather than a population decimation unless
plant reproduction is also detrimentally affected. Some preliminary evidence
suggests that the inability of these stressed plants to maintain a balance
between photosynthesis and respiration may prevent sufficient translocation
of energy to below-ground overwintering structures. It is hypothesized that
without this vegetative energy storage, spring budding may not be possible.
VIII-53
-------
LITERATURE CITED
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I. Phosphorus studies. In: S.H. Jenkins (ed.), Advances in water pollu-
tion research. Pergamon~Tress, New York.
Abbott, W. 1967. Microcosm studies on estuarine waters. II. The effects of
single doses of nitrate and phosphate. J.W.P.C.F. 39:113-122.
Adams, Franklin, S., Herbert Cole, Jr., and Lowny B. Massie. 1973. Element
constitution of selected aquatic vascular plants from Pennsylvania:
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Environ. Pollut. 5:117-147.
Adams, Franklin S., David R. MacKenzie, Herbert Cole, Jr., and Marilyn W.
Price. 1971. The influence of nutrient pollution levels upon element
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Bannister, T.T. 1974. A general theory of steady state phytoplankton
growth in a nutrient saturated mixed layer. Limnol. Oceanogr. 19:13-30.
Bayley, S., V.D. Stotts, P.F. Springer, and J. Steenis. 1978. Changes in
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Best, E.P.H. 1977. Seasonal changes in mineral and organic components of
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Best, E.P.H. 1980. Effects of nitrogen on the growth and nitrogenous com-
pounds of Ceratophyllum demersum. Aquatic Bot. 8:197-206.
Billen, 6. *978. A budget of nitrogen recycling 1n North Sea sediments off
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(Suppl.) 1:57^§4T
Boyd, C.E. 1971. The limnological role of aquatic macrophytes and their
relationship to reservoir management. Res. Fish, and Limnol. 8:153-166.
Boyd, C.E. 1970. Vascular aquatic plants for mineral nutrient removal from
polluted waters, Economic Botany, Vol. 24:95-103.
VIII-54
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Boyd, C.E. and E. Scarsbrook. 1975. Influence of nutrient additions and
initial density of plants on production of water-hyacinth Eichhornia
crassipes. Aquatic Botany 1:253-261.
Boynton, W.R. and K.L. Heck. 1981. Ecological role and value of submerged
macrophyte communities: A scientific summary. Univ. of Md. Center for
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Boynton, W.R., W.M. Kemp and C.W. Keefe. 1982. A comparative analysis of
nutrients and other factors influencing estuarine phytoplankton
production, pp. 69-90. In: V.S. Kennedy (ed.), Estuarine Compari-
sons, Academic Press, N.77
Boynton, W.R. et al. 1981. Influence of submerged macrophyte communities on
turbidity and sedimentation in littoral zones of northern Chesapeake
Bay, pp. 842-878. In: W.M. Kemp, W.R. Boynton, J.C. Stevenson and
J.C. Means (eds.),""Submerged aquatic vegetation in Chesapeake Bay.
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VIII-72
-------
Table D-3. Specific leaf area (cm2/gdw) of Potamogeton perfoliatus and Ruppia
martima in some
Pond
1
2
3
7
8
Date
15 June
1 July
16 June
1 July
16 June
15 July
18 June
15 July
18 June
of the experimental ponds.
Section
Tip
Tip
Tip
Tip
Tip
Tip
Base
Whole
Tip
Tip
Base
Whole
Tip
Potamogeton
X
124.5
193.8
252.3
213.6
318.9
273.5
210.1
241.8
216.0
251.1
192.8
217.0
194.2
SD
35.4
52.4
54.2
59.4
49.0
43.1
45.1
53.9
54.0
115.1
102.6
108.0
80.0
%c
28
27
21
28
15
16
22
16
25
46
53
50
41
Ruppia
x 5D *L
12.4 5.3 43
71.0 38.3 54
49.3 9.1 19
40.4 6.1 15
58.9 14.0 24
48.8 13.7 28
VIII-73
-------
1
• Table D-4. Chlorophyll a and b concentrations ( g/cm^) and ratios for
1 Potamogeton perfoliatus in a low nutrient dosed pond in relation to the
! dates nutrients were applied
Date o*" Sampling
Application
July 8
July 14
July 16
July 17
July 23
July 28
July 29 July 29
July 31
August 4 August 4
August 5
August 6
August 10
to the pond.
Chlor a
13.11
9.74
10.54
9.35
10.90
10.92
8.36
7.37
9.04
10.99
Chlor b^
2.01
2.25
2.35
2.83
1.53
2.36
1.87
2.39
2.68
1.73
a/b
6.53
4.33
4.48
3.31
7.15
4.62
4.47
3.08
3.38
6.34
VIII-74
-------
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-------
Table E-2. Epiphyte biomass and net productivity, and productivity of the host
plant Ruppia maritima for the upper (0-15 cm) and lower (+15 cm) sections
of the plant. Total production is expressed per gdw of the macrophyte.
Plant Epiphyte Ruppia
Section Biomass Production
(gdw) (mg C gdw^h-
Epiphyte Production
(mg C
Per Epiphyte Per S
Total
Production
(mg C
0-15
15+
0.37
0.48
0.63
0.32
0.40
0.45
3.82
2.13
2.31
3.23
2.56
0.62
0.91
0.66
0.51
0.80
0.57
0.78
0.86
0.64
0.19
0.38
0.36
0.25
0.34
0.29
2.32
2.69
3.59
0.87
1.25
0.95
VIII-77
-------
1
Table E-3. Epiphyte biomass and productivity, and productivity of the host plant
Potamogeton perfoliatus for the upper (0-15 cm) and lower (+15 cm) sections of
the
Plant
Section
(cm)
0-15
15+
plant. Total production is expressed
Epiphyte
Biomass
(g/gdw(SAV))
0.29
1.73
1.90
2.39
3.76
5.22
6.13
0.27
0.77
1.25
1.39
1.68
3.84
5.44
Potamogeton
Production
(mgC gdw1 h"1)
5.09
5.31
3.44
4.67
4.25
5.44
1.52
2.32
2.00
3.12
0.96
2.58
0.85
2.08
per gdw of the
macrophyte.
Epiphyte Production
Per Epiphyte
(mgC gdw~i h"1)
0.15
0.97
1.59
1.03
0.94
0.57
0.92
0.08
1.45
0.94
1.02
1.02
0.56
0.71
Per SAV
(mgC gdw1 h"1)
0.04
1.68
3.02
2.46
3.53
2.98
5.64
0.02
1.12
1.18
1.42
1.71
2.15
3.86
Total
Production
(mgC gdw1 h'1)
5.13
6.99
6.46
7.13
7.78
8.42
7.16
2.34
3.12 £
4.30
2.38
4.29
3.00
5.94
VIII-78
-------
on
Treatment
Date
5 June
16 June
23 June
24 June
16 July
17 July
23 July
30 July
31 July
10 August
11 August
Control
1
7.16
5.89
4.69
(0.32)
4.53
(0.54)
3.09
(0.65)
7.83
(2.11)
8.89
(0.23)
9.47
(0.96)
8.35
(1.47)
7.36
(0.56)
6.52
5
6.34
6.31
9.19
(1.88)
4.65
(1.22)
3.84
(0.18)
8.03
(1.21)
7.43
(1.71)
7.95
(0.53)
7.17
(1.25)
4.71
(0.32)
6.92
Low
3
5.53
6.53
6.39
(0.84)
5.35
(0.34)
3.75
(0.38)
8.59
(0.66)
6.14
(0.50)
8.59
(1.01)
7.49
(0.39)
2.64
(0.33)
2. 6 ">
6
4.62
4.53
6.38
(0.71)
4.92
(0.36)
2.06
(0.67)
7.52
(1.40)
5.70
(0.96)
7.87
(1.37)
f.4s
5.13
(1.26)
5.24
Mid
4
5.19
4.33
5.77
(0.36)
6.55
(0.41)
3.18
(0.27)
10.26
(2.09)
6.23
(0.40)
10.21
(1.50)
8.83
(0.16)
9.29
(0.51)
6.80
8
5.50
6.48
6.28
(1.41)
5.35
(0.46)
2.22
(0.16)
11.31
6.64
(0.70)
11.88
(2.19)
8.75
(0.98)
9.77
(0.62)
5.63
Hi
2
-
5.94
5.35
(0.23)
7.05
(0.26)
4.33
(0.39)
10.06
(0.67)
9.18
(1.09)
8.57
(0.70)
3.17
1.09
(0.44)
1.46
gh
7
5.17
3.40
7.80
(0.70)
4.30
(0.15)
3.55
(0.95)
9.52
(1.85)
9.42
(0.39)
17.28
(4.02)
12.46
(1.96)
1.92
(0.17)
3.10
VIII-79
-------
Table F2. Nighttime respiration (Rn) for total communities in experimental ponds based
on dawn/dusk readings of dissolved oxygen (g02 m~3 d"1).
Treatment
Date
15 June
23 June
16 July
23 July
30 July
10 August
Control
1
3.2t
(0.77)
2.75
(0.36)
4.85
(0.43)
6.55
(0.22)
5.37
( )
2.48
(0.57)
5
3.05
(0.47)
3.31
(1.58)
4.07
(0.33)
5.17
(0.75)
4.33
(0.53)
-
Low
3
3.74
(0.67)
3.20
(0.46)
5.01
(0.07)
4.86
(0.63)
4.55
(0.38)
0.63
(0.22)
6
3.45
(0.44)
3.13
(0.26)
4.62
(0.92)
6.04
(0.31)
3.35
(0.27)
3.65
(0.69)
Mid
4
3.80
(0.36)
3.35
(0.13)
5.05
(0.31)
5.94
(0.25)
4.32
(0.78)
3.78
(0.89)
8
4.36
(0.11)
3.66
(0.80)
5.66
(0.30)
6.26
(0.18)
6.09
(1.47)
3.76
(0.18)
High
t
4.26
(1.14)
5.64
(0.33)
6.93
(0.15)
8.60
(0.69)
7.10
(0.13)
3.05
(0.20)
7
3.24
2.71
(0.61)
6.15
(0.54)
7.25
(0.24)
6.87
(2.00)
3.06
(0.11) i
VIII-80
-------
f
Table F-3. Ratios of apparent productionrnighttime respiration (ParRn) for total communitit
in experimental ponds based on dawn/dusk readings of dissolved oxygen.
Treatment
Date
23 June
24 June
16 July
17 -July
23 July
30 J'dy
31 July
10 August
11 August
Control
1
1.71
1.65
0.64
1.61
1.36
1.76
1.55
2.97
2.63
5
2.78
1.40
0.94
1.97
1.44
1.84
1.66
-
-
Low
3
2.00
1.67
0.75
1.7i
1.26
1.89
1.65
4.19
4.22
6
2.04
1.57
0.45
1.63
0.94
2.35
1.93
1.41
1.44
Mid
4
1.72
1.96
0.63
2.03
1.05
2.36
2.04
2.46
1.80
8
1.72
1.46
0.39
2.00
1.06
1.95
1.44
2.60
1.50
High
2
0.95
1.25
0.62
1.45
1.07
1.21
0.45
0.36
0.48
7
2.88
1.59
0.58
1.55
1.30
2.52
1.81
0.63
1.01
VIII-81
-------
CHAPTER IX
THE DECLINE OF SUBMERGED VASCULAR
PLANTS IN UPPER CHESAPEAKE BAY: SUMMARY
OF RESULTS CONCERNING POSSIBLE CAUSES1
W. Michael Kemp2
Walter R. Boynton3
Robert R. Twilley2
J. Court Stevenson
Jay C. Means3
1983
^Contribution No. 1431 University of Maryland
Center for Environmental and Estuarine Studies (UMCEES),
2Horn Point Environmental Laboratories, UMCEES, Box 775,
Cambridge, MD. 21613 USA
3Chesapeake Biological Laboratory, UMCEES, Box 38,
Solomons, MD. 20638 USA
IX-i
-------
ACKNOWLEDGEMENTS
We would like to thank our many colleagues, students and research associ-
ates for their contribution to the conduct of this program: S. Bollinger, J.
Cunningham, D. Flemer, W. Goldsborough, T. Jones, M. Lewis, D. Marbury, L.
Murray, S. Nixon, R. Orth, P. Penhale, M. Shenton, K. Staver, R. Wetzel, R.
Wijayaratne. Special thanks are due to Al Hermann for his major contribution
to the numerical simulation modeling. This reserach was supported by grints
from the US Environmental Protection Agency No. R805932010 and X00324801D and
the MD State Dept. Natural Resources, Tidewater Administration No. C18-8U-430
(82).
IX-ii
-------
ABSTRACT
This paper provides a summary and synthesis of research conducted to
investigate possible causes of the decline in abundance of submerged aquatic
vegetation (SAV) in upper Chesapeake Bay beginning in the late 1960's. Three
factors potentially were emphasized in this study: runoff of agricultural
herbicides; erosional inputs of fine-grain sediments; nutrient enrichment and
associated algal growth. Widespread use of herbicides in the estuarine water-
shed occurred contemporaneous with the SAV loss; however, extensive sampling
of estuarine water and sediments during 1980-81 revealed that typical bay
concentrations of herbicides (primarily atrazine) rarely exceeded 2 ppb. On
two occasions relatively high values (20-45 ppb) were observed for brief (2-4
h) periods in a small cove following runoff events. Short (2-6 h) and long
(4-6 wk) term experiments indicated that ephemeral phytotoxic effects would be
expected in response to these highest herbicide concentrations followed by
rapid recovery. However, normal concentrations (< 5 ppb) had little measurable
effect on plants. Historical increases in turbidity have been documented for
some bay tributaries since the 1940's. During our study light (PAR) attenua-
tion by suspended fine-grain sediments contributed more to total turbidity in
bay shallows (< 1.5 m) than did phytoplankton chlorophyll £. Diel cycles of
PAR available in SAV beds indicated that plant photosynthesis was light-limited
for much of the day, and PAR often fell below the compensation level (Ic)
needed for minimal plant growth. Although some SAV species exhibited consider-
able ability to adapt to reduced light by such mechanisms as increased pigmenta-
tion and stem elongation, increased turbidity has probably reduced overall
depth distributions of SAV markedly. Effects of the continual increase in
nutrient enrichment of the bay (documented since 1930) were tested by experi-
mentally fertilizing pond mesocosms at levels common to the upper estuary.
Moderate to high nutrient loadings resulted in significant increases in growth
of epiphytic and planktonic algae and c Teases in SAV production, as well as
premature seasonal senescence of fertil ..ad plant populations. Direct measure-
ments demonstrated the inhibitory effect of epiphytic growth on SAV photosyn-
thesis, due largely to light attenuation. The results of these various experi-
ments were synthesized into an ecosystem simulation model which demonstrated
the relative potential contributions of the 3 factors to SAV declines, where
nutrients > sediments > herbicides. Other factors and mechanisms are also
discussed along with possible resource managements options.
IX-1
-------
INTRODUCTION
It is widely recognized that submerged vascular plants play an important
role in the ecology of littoral regions of lakes, estuaries and oceans (1, 2,
3). While a number of studies have noted the Ability of these plant communi-
ties to attenuate variability of nutrient, sediment and production cycles (4,
5, 6), several such communities have themselves undergone extreme fluctuations
in distribution and abundance. For example, in the mid 1930's a widespread
die-off of the seagrass, Zostera marina, was well documented throughout the
North Atlantic coastal regions (7JITFTe cause of this occurrence has never
been unequivocally established, although recent suggestions have pointed to
subtle climatic shifts (8). Other reports of regional declines in abundance
of submerged aquatic vegetation (SAV) have indicated the possible influence of
human activities (9, 10).
Few of the reported SAV declines have occurred in estuarine environ-
ments and most have involved 1-2 plant species. However, in one of the world's
largest estuaries, Chesapeake Bay, a major loss of SAV has continued since
the mid 1960's to the present (11, 12, 13). More than 10 species have experi-
enced significant decreases in abundancce, including Potamogeton perfoliatus,
_P. pectinatus, Valisneria americana, Zannichellia palustris, Ruppia mantima
as well as the marine species Z. marina (12).In~the upper estuary this decline
in native species was proceeded" by an invasion of the exotic, Myriophyllum
spicatum (Fig. la) which eventually also died-back (11). Studies of seed and
pol len distribution in sediment cores T'rom the upper bay have demonstrated
that this dimunition in plant abundance is unprecedented (Fig. la) for at
least the last century (13). In general, it appears that the recent decline
occurred first and with greatest intensity in the brackish waters of the estu-
ary, with 1L. marina communities in the lower bay being affected less and some-
what later (l"3JT
Numerous mechanisms have been cited as possible causes of this occurrence
(12). The concept that natural entrained population cycles or global climatic
events might be responsible seems unlikely in view of the range of biological
and physiological characteristics for the numerous species invoked. In addi-
tion, there is no parallel trend in plant abundance apparent in nearby coastal
regions (13). Other factors including animal foraging and grazing and major
storm events are probably of occasional and local importance, but these are
part of the normal milieu to which SAV are exposed and hence are insufficient
to explain this abnormal decline. The absence of correlations between distri-
bution of SAV and industrial pollutants renders such anthropogenic wastes an
unlikely cause; however, more general changes in water quality associated with
diffuse sources (e.g. runoff) do represent a potential explanation(12).
In an extensive review concerning SAV in Chesapeake Bay and elsewhere
(12), it was suggested that three categories of environmental changes deserved
IX-2
-------
a.
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ATRAZINE USE IN
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PATUXENT RIVER BASIN
SEDIMENT YIELD
INTENSE
CONSTRUCTION
FERTILIZER SALES
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TOTAL
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- WASHINGTON,D.C.
_ SEWAGt DISCHARGE
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1930 1940
1950 I960
YEARS
1970
1980
IX-3
-------
?!
Fig. 1. Summary of long-term trends (1930-1980) in selected variables for
Chesapeake Bay and its tributaries: a) submerged aquatic vegetation
abundance in the upper bay (1958-1976 (11), prior to 1958 (14)); b)
use of atrazine in coastal plain counties draining into the bay (12);
c) Susquehanna River flow (69); d) idealized sediment yield for Patux-
ent River basin (28, 29); 3) fertilizer sales 1n Maryland (35); f)
nitrogen in sewage discharge from Washington, D.C. into Potomac River
estuary (35, 69).
IX-3a
-------
further attention: increased fine-grain sediments from land erosion; increased
algal growth from nutrient enrichment of estuarine waters; and aqueous concen-
trations of herbicides arising from agricultural runoff.
This paper summarizes the results from recent studies examining possible
causes of the SAV decline in upper Chesapeake Bay. Specifically, we report
the salient findings of investigations concerning: estuarine distributions,
degradation, sorption, and SAV phytotoxicity of selected herbicides; light
availability and vertical attenuance by suspended material, distribution of
this suspended matter, and photosynthetic responses of SAV to different
light regimes; effects of nutrient enrichment on algal growth, and responses
of SAV growth and production to elevated levels of planktonic and epiphytic
algal biomass. We also synthesize these results toward reconstructing a plaus-
ible scena, io vis a vis this loss of submerged vascular plants, and we
provide comments on resource management options and the future of SAV in upper
Chesapeake Bay.
APPROACH TO PROBLEM
In 1978 we initiated a 3-year study to investigate various aspects of the
ecology of SAV communities in Chesapeake Bay. While intensive research was
conducted at several locations along the estuarine salinity gradient, our work
I focussed on communities located in the low salinity (5-15°/oo) region. The
i research was designed to address three general questions: (1) factors poten-
tially responsible for the observed decline in SAV distribution and abundance;
(2) SAV community interactions and characteristics; and (3) resource management
options.
This research program was organized in a hierarchical fashion to deal
with the complexity of the ecosystems studied in addressing these questions.
Depicted in Fig. 2 1s the manner in which (c) specific research approaches
were Integrated into (b) broad research objectives which were, in turn, related
to (a) research questions (15, 16). General objectives of this reserach pro-
gram involved: the development of mechanistic relationships among ecological
factors through controlled experimentation; the interpretation of these results
in terms of actual conditions in nature; and the establishment of a framework
to extend specific results in to a general context. The specific research
approaches employed ranged from shortterm laboratory experiments to seasonal
mesurements in the estuary and experimental ponds, with ecological modeling at
all levels for analysis, interpretation and generalization. In the following
sections we review the results of our field, laboratory and modeling studies
to evaluate the possible roles of herbicides, suspendable sediments and nutri-
ents 1n the SAV decline in the bay.
HERBICIDE INPUTS, FATE AND PHYTOTOXICFY
For the last two decades the most widely used herbicide in the Chesa-
peake Bay watershed (and particularly in the surrounding coastal plain) has
IX-4
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IX-5
-------
Fig. 2. Schematic flow chart illustrating the relationships between specific
research approaches, broad research objectives and overall research
questions. Three thicknesses of arrows suggest levels of influence
for these items.
IX-5a
-------
been atrazine (12, 17). Since its introduction to the region in the early
1960's, its use, which is particularly important for corn crops, has grown
steadily to the present (Fig. lb). Atrazine was thus selected as the primary
compound for intensive investigation. Our research also considered the distri-
bution and phytotoxicity of a second important compound, linuron, which is
used for wetd control in soybean crops.
Herbicide Distribution and Degradation
In general about 0.2-2.0% of atrazine applied to agricultural fields is
transported into adjacent waters in runoff, and resulting concentrations in
the estuary depend on dilution, dispersion, adsorption and degradation (17,
21, 27). In the open waters of Chesapeake Bay observed concentrations of
atrazine and linuron rarely have rarely exceeded 1 ppb (18, 19, 20). In major
tributaries such as the Choptank and Rappahanock Rivers concentrations of 5
ppb may occur following a major spring runoff event. Such events can generate
transient (2-6 h) concentrations up to about 40 ppb in secondary tributaries
and small cc-.cs (20, 21, 22).
Our data indicate that atrazine and linuron degrade rapidly in estuarine
conditions with half-lives of 1-6 wk (17, 23). In addition, these herbicides
exhibit strong tendency for sorption to particles and colloids (20, 24), and
degradation of particle-bound atrazine appears to be even more rapid (25). As
a result of dilution and degradation, concentrations of atrazine on suspended
and deposited sediments in the estuary were seldom greater than 5 vg/kg
suggesting little accumulation potential, (20), and moreover, once bound to
particles atrazine becomes virtually unavailable for plant uptake (25).
Herbicide Uptake and Phytotoxicity
Using 14C-ring labelled atrazine Jones et al. (in 25) found that uptake
by £. perfoliatus was rapid, reaching equilibrium within 1 h. The observations
that atrazine concentrations were low in sediments (20), combined with the
relatively slow translocation of the herbicide measured within plant vascular
tissues (25) suggest the primary mode of uptake is foliar. A strong correla-
tion was observed between atrazine uptake and short-term depression of photo-
synthesis. After a sequence of washes in atrazine-free water, a portion of
the incorporated atrazine was released and photosynthesis returned to control
levels within 4-8 h (25).
In addition to short-term (2 h) experiments relating photosynthetic
depression to atrazine exposure, microcosms containing estuarine water and
sediments with £. perfoliatus or M. spicatum were used to test longer duration
(4-6 wk) effects of atrazine and Tinuron on plant growth and production. At
concentrations less than 100 ppb of either herbicide, both plants exhibited a
significant trend of photosynthetic recovery within 1-2 wk after initial ex-
posure despite the continued presence of herbicides in microcosm waters (25).
Using a linear dose-response model for apparent photosynthesis (or net biomass
accumulation) versus the logarithm of initial herbicide concentration, signifi-
cant (r2x).93) relationships were observed for all combinations of herbicides
5
IX-6
-------
and plants (Fig. 3). Values of IJ.Q and *50 (concentrations resulting in
1% and 50% inhibition of photosynthesis) ranged from about 2-4 ppb and 70-120
ppb, respectively, for the 4 combinations of herbicides and plant species
tested (25).
At 5-10 ppb (the upper limit of herbicide concentrations typically occur-
ring in most of the estuarine shallows) a 10-20% loss of photosynthesis would
be expected. However, the ephemeral nature of such elevated herbicide levels
and the tendency toward rapid photosynthetic recovery in these plants would
render such effects short in duration. Overall, atrazine phytotoxicity has
been tested for 7 species in Chesapeake Bay in various experiments, and some
differences in sensitivity were apparent (25, 26, 27). For example, the exotic
species, M. spicatum, exhibited greater tolerance than most native plants, and
the seagrass. Z. marina, appeared also to be less sensitive, while the fresh-
water member oT the Hydrocharitaceae, ±. americana, was among the least toler-
ant species tested.
Some concern about the possible phytotoxicity of atrazine metabolites
formed during degradation was allayed in recent experiments, again using 14C-
labelled compounds (provided by Cipa-Geigy Corporation, Greensboro, NC), where
150 values were found to be at least 10 times greater than for the parent
compound (25). Thus, while conditions certainly occur sporadically in the
estuary where herbicide stress could induce some loss in SAV production, the
possibility that herbicides led to the SAV decline saems remote.
SUSPENDABLE SEDIMENTS AND SAV LIGKT RESPONSES
Substantial changes in both sediment yield to and turbidity in Chesapeake
Bay and some tributaries have occurred over the last several decades (Fig. Id).
In one major tributary (Patuxent River), there have been periods of increasing
and decreasing sediment yields, punctuated by occasional major input events
during the last 50 years (14, 28, 29, 30). Overall, it seems that turbidity
in this tributary is higher now than 30 years ago (33) even though inputs of
fine-grain sediments have recently decreased (29), indicating there is not a
simple relationship between these factors.
Light Attenuation due to Suspended Sediments
Laboratory and field experiments were conducted to assess the relative
contributions of suspended sediments and chlorophyll-^ to diffuse, down-welling
light attenuation. Diffuse attenuation of phytosynthetically active radiation,
PAR (400-700 nm), due to different concentrations of suspended materials was
measured in stirred, opaque-sided, cylindrical chambers (60 cm dia, 120 cm 'it)
by observing PAR at 10 cm vertical intervals. Known amountd of dried, sieved
(62 v) sediment or algal culture suspensions were added to the chambers to
develop relations between attenuation coefficient (k) and suspended concentra-
tions. The slope of k versus algal biomass (in terms of dry wt.) was found to
be about twice that for k versus inorganic suspended sediments due to the high
absorbance of algal pigments at PAR wavelengths (31). However, the relative
ranges of these two suspensoids typical of shallow estuarine environments
IX-7
-------
f.
• ^••••#»wa** ••• •*•** «•••••• » •
.•.'.*•• •..•«.*•••*• *•/. . - . •••/•- •• •*••••••
• » ••*••••!» • ••*• l.» •• •••!••••"•• !••
jQ
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or
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SIS3HlNAS010Hd !N3dVddV
SNOI10nCI3d !N30d3d
Nl
IX-8
-------
Fig. 3. Reduction in apparent photosynthesis (%) for two species of submerged
aquatic vegetation resulting from treatment with the herbicide atrazine
at 5 initial concentrations. Three degrees of shading represent
(from heavy to light) maximum in situ atrazine concentrations observed
in: open Chesapeake Bay waters; main bay tributaries; and a small
cove within one tributary (17, 25).
IX-8a
-------
suggest that suspended solids are a far greater component to total turbidity.
Concentrations of suspended sediments (seston) often increase from 20-100
mg/i within 1-2 h due to moderate (5-10 m/s) summer winds (25, 31), while
chlorophyll-a concentrations typically range from 5-15 vg/t over a tidal
cycle (Fig. T) and are not markedly influenced by wind events. These common
excurisons in seston and chlorophyll-^ would result in about 50% and 8% reduc-
tions in PAR at 50 cm depth, respectively.
To assess jn-situ light conditions, measurements of seston, chlorophyll-
a, attenuation coefficient, water depth and PAR were made over tidal cycles in
Tittoral areas with and without SAV communities (25, 31). Data from a typical
cycle (Fig. 4) indicate that both chlorophyl!-£ and suspended particulate
concentrations were lower within SAV communities than in non-vegetated littoral
areas, and the differences were greatest at low slack tide, probably due to
settling of particulates in the quiescent waters of the bed. It i* evident
here that PAR attenuation followed seston consistently at both sites, while
not so for chlorophyll-a. Consistent with laboratory data, most (> 95%) light
attenuation could be attributed to suspended solids other than chlorophyll-a.
Sediments may also be important in light attenuation when they settle from The
water column onto SAV leaves. For example, Staver et al. (31) found 80-90%
of total epiphytic material (attached to leaves) to be inorganic sediments as
opposed to algae or other organic materials in a Chesapeake Bay SAV community.
However, there is a continuous cycle of deposition and resuspension of these
loosely attached sediments, and the integrated, long-term effect of these
processes on photosynthesis is not known.
Light Response of SAV
In laboratory chambers the responses of P. perfoliatus and M. spicatum
photosynthesis to light intensity followed a "Basic rectangular hyperbolic
form. Values of IK (intersection of initial slope and Pmax) ranged from
200-300 uEm^s'1 and were similar to values reported for other SAV
species (31). A second important parameter of the photosynthesis-irradiance
(P-I) relationship is light compensation point (Ic), which is the PAR intens-
ity at which net production (in excess of respiration) approaches zero. Values
of Ic at about 50 uEm^s"1 were reported for apical 10 cm growing
tips of £. perfoHatus (25). However, Ic values for whole plants (including
non-photosynthetic root-rhizome tissue) would be substantially higher, probably
in the range of 75-150 yEjn~2s~1. Given the ambient turbidity
levels generally observed in the bay (k > 2/m) in addition to light reduction
associated with epiphytic materials, it would appear that SAV are generally
exposed to light regimes approaching Ic. Unless these plants can adjust to
such light stress, net growth would not be possible.
In fact, Goldsborough (32) found that at least one species (£.
perfoliatus) has considerable ability to adapt to reduced light conditions via
morphological changes (such as stem elongation and increased leaf area:weight
ratio) and biochemical changes (such as increased chlorophyll-£ per leaf area)
which influence P-I relationships. However, under extreme shading (< 75 yEm~2s"1)
the capacity of adaptive mechanisms was exceeded, resulting in reductions in
new shoots, number of flowering plants, and root storage nodules (which appear
IX-9
-------
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UJ
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xnid
IX-10
-------
Fig. 4. Time-course observations for planktonic chlorophyll £, total seston,
water depth, light attenuation coefficient and light available at 10
cm depth and at the bottom of a 1.0 m (mean depth) water column for a
bed of submerged plants (£. perfoliatus) and for an adjacent unvege-
tated area on 22 September 1980. Shaded regions represent typical
ranges for 1^ (intersection of initial slope and maximum photosyn-
thesis in a photosynthesis-irradiance function) and Ic (compensation
light level for 10 cm apical growing tips of plants) (31, 32).
IX-lOa
-------
to be overwintering organs, 1).
Overall Effects of Suspendable Sediments on SAV
In the Patuxent Estuary, which formerly contained extensive SAV communi-
ties, chlorophyl l-a_ concentrations increased from about 10 to 40pgA and
secchi disc depths decreased from about 0.8 m to 0.35 m (or k = 1.8 -
4.U/m, assuming k = 1.4/secchi) for spring-summer during the 1960's decade
(33). Partitioning these attenuation coefficient values between chlorophyl1-a
and other particulate and dissolved materials (34) shows about 7% of total
attenuation could be attributed to the algal pigment in the early 1960's,
while about 14% could be so partitioned for the 1970 data. While the relative
importance of phytoplankton attenuation increased over this period, it appears
that most light attenuation was still associated with inorganic particulates
and other non-chlorophyllous organics.
In any case, the observed increase in turbidity would cause a significant
reduction in the depth distribution of SAV. For example, if we take summertime
irradiance at the water surface to be 1200 uEm"2s~1 (a typical value
at noon on a sunny Aug-Sep day) and Ic to be 100 uEirf^"1, the
depth to which sufficient light penetrates to support SAV growth would be
reduced from 1.4 m to 0.6 m for the aforementioned scenario in the Patuxent
between 1960 and 1970. Similar turbidities were observed (25) throughout
littoral zones in upper Chesapeake Ba\ suggesting that the depth distribution
of SAV has been restricted due to redb -. PAR availability.
NUTRIENT ENRICWENT AND ALGA1 V RELATIONS
Watershed inputs of nitrogen (N) and phosphorus (P) to Chesapeake Bay
have increased several-fold in the last two decades (Fig. 1 e,f), and aqueous
concentrations of inorganic nutrients have likewise increased appreciably in
many areas of the estuary (33, 35). Correspondly, phytoplankton populations
(as measured by chlorophyl1-a) have also expanded during this period (33, 35).
Since it appears that submerged vascular plants can obtain their N and P re-
quirements from sediment pore waters (36, 37) which are rich in nutrients, it
is expected that nutrient additions to overlying waters would increase SAV
growth to a limited extent only. In fact, there are a number of mechanisms
where fertilization may lead to decreases in SAV production and abundance.
Nutrient enrichment tends to promote algal growth, e'ther phytoplanktonic (38)
or epiphytic (10) which in turn can inhibit SAV photosynthesis via reductions
in light and molecular transport across SAV epidermis (39, 40). In addition,
it has been postulated that increased phytoplankton populations can stimulate
growth of animal fouling communities on SAV leaves and other firm, stable
substrates (25, 41) leading to similar photosynthetic stress for the plants.
In this section we consider this C'.csclon terms of correlations from field
observations and results of nutrient enrichment studies in experimental ponds.
IX-11
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Algal Responses to Nutrient Enrichment
The effects of nutrient enrichment on algal and SAV growth were investi-
gated in 8 experimental ponds (area = 350m2; depth = 1.2 m) treated in
duplicate with 3 nutrient levels (plus controls) at 8-10 day intervals for a
10 week period during the summer of 1981. Initial nutrient concentrations
after dosing were 120, 60 and 30 yM inorganic nitrogen (50% NH^; 50%
NOj), with N:P (atomic) ratios of 10:1. Nutrient loading rates at medium
dosage were equivalent to runoff from a typical watershed (26% agriculture,
11% residential) draining into a small Chesapeake Bay tributary (42).
Phytoplankton biomass (as chlorophyll-^) generally increased with treat-
ment levels (significantly greater at low and high doses), particularly at the
highest nutrient amendments (Fig. 5). A sequence of phytoplankton bloom events
were evident in high dose ponds, where chlorophyll-^ increased by 1-2 orders
of magnitude on several occasions within a 1-2 d period. This response was
similar to those previously reported for nutrient enrichment studies (43, 44).
Epiphytic algal biomass was significantly higher than controls in all treated
ponds (Fig. 5). Levels of epiphytic material in nutrient treated ponds were
similar to those observed in the estuary on scenescent plants while control
levels were comparable to those occurring early in the SAV growing eason (32,
45). Again, this pattern of increased epiphytic algal growth is consistent
with results from nutrient enrichment experiments elsewhere (10, 46, 47).
Effects of Algal Growth on SAV
Correlations between PAR attenuation in the water and phytoplankton chloro-
phyll -a were obtained from measurements in the experimental ponds using only
those (Tata where the estimated weight of algal cells comprised a major faction
(> 10%) of total seston weight (25). The slope of this relationship (0.0146
n^mg"1; r2 = 0.95) Is quite consistent with observations from deep
coastal waters (48) and slightly greater than those derived from laboratory
cultures (31, 49). We also obtained a strong relationship between PAR attenu-
ance through a plane (estimated by scraping epiphytes from leaves of known
area into a petri dish and measuring PAR attenuation, 50) and epiphytic biomass
(r2 = 0.87). The slope of this relation was 0.36% (mg/cm2)'1, which
again is comparable to previous reports (10, 50, 51). Direct measurements of
SAV photosynthesis (using both 1J»C uptake and oxygen evolution methods) over
a range of epiphytic colonization levels (0-5 gdw epiphyte/gdw SAV) yielded
significant correlations with about 50% reduction in photosynthesis at 4
gdw/gdw (25). After 8 wk of nutrient treatment, SAV biomass in medium and
high fertilization systems had decreased significantly compared to controls
(Fig. 5). While the contribution of the water column to total attenuation
(from water surface to plant leaves) was generally small compared to that
associated with epiphytic material, without such light reduction due to tur-
bidity, epiphytic growth would have been insufficient to reduce light below
compensation levels (Ic). Similar observations on the relative roles of
phytoplankton and epiflora have been reported for Danish lakes (51).
IX-12
-------
I
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tr
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o
10
PHYTOPLANKTON
V
I
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-EPIPHYTIC BIOMASS
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A
300
en
S
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<
CO
150
_ SAV BIOMASS
s
Control Low Medium High
NUTRIENT DOSE
-------
!
Fig. 5. Summary of phytoplankton stocks (as chlorophyll £), weight of epiphytic
material, and submerged aquatic vegetation biomass in August 1981,
for experimental ponds treated with 4 levels of nutrient enrichment
after 3 weeks. Given are means 1 standard error (25).
IX-13a
-------
•I!
• -
'. ' Nutrient Enrichment and SAV Decline
I While nutrient fertilization has been occurring 1n Chesapeake Bay over
' the last century or more, the upper bay outbreak of M. spicatym in the early
1960's (just proceeding the general SAV decline) may~have marked the onset of
; critical nutrient enrichment levels. It appears that this species has competi-
tive advantage ov»r other SAV under conditions of elevated nutrient inputs
(e.g, 52). During the last several years numerous investigators have postu-
lated that eutrophication was responsible for observed losses of SAV in fresh-
water systems including: Loch Leven, Scotland (38); Lake Erie, Chio (53);
Whitewater Lake, Ontario (54); and Norfolk Broads, England (10). Others have
suggested that nutrient enrichment may be one of several factors contributing
to dlmunition of seagrasses in su^h coastal ecosystems as the Dutch Waddenzee
(9), the French Mediterranean (55) and Western Australia estuaries (56). In
all cases, these declines have occurred progressively over decade-long periods,
consistent with observations in Chesapeake Bay (13).
In our experimental pond studies, SAV biomass reductions in high dose
ponds amounted to a foreshortening of the normal growing sesaon; however, some
effects on vegetative reproduction were also apparent. For example, shoot
production from budding was markedly reduced in experimental ponds the spring
following a summer of high nutrient treatment, and after a second year of
identical treatment vegetative root nodules were also a significantly reduced
(25). To interpret these results in the context of long-term declines in
abundance, it may be necessary to relate premature seasonal scenescence to
decreased reproductive success in a more quantitative fashion.
SYNTHESIS OF FINDINGS AND IMPLICATIONS
Ecosystem Modeling as a Tool for Synthesis
The research discussed in this paper has identified and described a wide
range of detailed Interactions between submerged vascular plants and their
environment. We used a variety of numerical simulation models for these SAV
ecosystems to place the complex interactions into a unified ecological frame-
work. Che of these models was designed to address questions relating to man-
agement of SAV resources in the estuary, including both the role of these
plants 1n secondary production and the environmental factors influencing plant
growth (57). Generally, this model consisted of 14 simultaneous, non-linear
{ differential equations, with time as the independent variable. Each equation
I described the temporal behavior of a state variable, with each term in a given
i equation representing a connection between that variable and another internal
| or external variable. The model was calibrated with data collected from field
and laboratory measurements and was used to interpolate between discrete ob-
servations in time and space and to both hindcast and forecast consequences of
changing external factors (e.g. temperature, nutrient loading and flushing
rate).
Digital computer simulations were performed (using finite difference
numerical methods) to consider the effects of herbicide, sediment and nutrient
IX-14
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fl
.
inputs to the estuary individually and combined (Fig. 6). Under simulated
conditions based on maximum observed herbicide concentrations in a shallow
embayment, annual mean SAV biomass (B) and total net production (NP) decreased
by about 2% and 4% respectively (Fig. 6a), with greatest effects during May-
June runoff events. A doubling of sedimer.. loading to the SAV bed and sur-
rounding waters resulted in J3% and 22% reductions in B and NP, and the effects
were most pronounced in the late summer and fall periods when heavy winds
stimualted sediment resuspension (Fig. 6b). A two-fold nutrient errichment
resulted in marked reductions in B and NP (29% and 48%), with strongest depres-
sions occurring in June (Fig. 6c). Apparently, relatively high nutrient and
light levels in spring promoted rapid growth of epiphytic algae which was
retarded subsequently in summer due to nutne-t depletion. These simulation
results are similar to findings from pond fertilization experiments (25).
Combining these three stresses in a single simulation resulted in an average
of 35% and 56% losses of biomass and production, and the net effect of the
three factors thus appeared to be somewhat antagonistic (Fig. 6d).
It is interesting to note that under combined stresses the growing season
(period of continuous biomass accumulation) was reduced from about 4.5 mo to
less than 2 mo. In addition, plant biomass at the end of the simulated year
was considerably lower than initial levels under combined factors. While this
might suggest an effect on reproductive success of this population, multi-year
simulations produced recurring patterns similar to that shown in Fig. 6.
However, this is not surprising because reproductive biology, per se, was not
an explicit function in the model.
Gradual Reductions in Abundance versus Population Demise
Most of the species occurring in upper Chesapeake Bay undergo clear annual
cycles of above-ground structure, and new growth in spring may be generated
either from seeds or from underground storage organs. The .nodel simulations
indicated that under environmental stress, net growth available for allocation
to sexual or vegetative reproduction is reduced. Experimental observations
have demonstrated that extreme light stress, related either to turbidity or
epiphytic growth, results in significant decreases in both flowering and pro-
duction of underqround storage nodules (25, 32). We hypothesize that the
observed gradual reductions in abundance of stressed plants in model and field
experiments would eventually result in a local demise cf these populations due
to reproductive failure. This final outcome would require a repetitive se-
quence of annual stressed growth conditions, incrementally undermining repro-
ductive vitality.
In general, SAV communities exhibit considerable ability to modify their
local environment and thereby reduce stresses; however, this "buffering capac-
ity" can be exceeded and lead to premature seasonal die-back. Two examples
involve nutrients ar I suspended particulates. While SAV communities are cap-
able of rapid uptake of nutrients from overlying water (4), nutrient enrichment
beyond the assimilative capacity can promote epiphytic algal growth to the
detriment of vascular plar:t production (e,.g. 10, 25). Secondly, the well
established ability of seagrasses and other SAV to trap and bind suspended
particulate matter (e.g. 5, 58) is limited in silty estuarine environments
IX-15
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27
18
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27
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A) HERBICIDE
RUNOFF
Basel i ne
Simulation
BasalIne
b Herbicides
Added
I I I
B) SEDI MENT
LOADING
Baseline
Sediments
Added
36
27
18
9
36 -
27 -
18 '
9 -
C) NUTRIENT j$j%jBa,.lin.
ENRICHME
D)COMBINED
Base!ine
FMAMJ JASONDJ
MONTH OF YEAR
IX-16
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Fig. 6. Results of numerical simulations of submerged vascular plant biomass
over an annual cycle under conditions of maximum herbicide runoff,
doubled sediment loading, doubled nutrient enrichment, and a combina-
tion of these three stresses. In all cases the upper line (shown for
comparative purposes) represents the baseline conditions which are
compared to means of field observations in the upper panel (57).
IX-16a
-------
(25), and associated turbid waters tend to reduce light availability and plant
production. It appears that while moderate levels of these stresses result in
little if any reductions in plant production and distribution, extreme levels
can overwhelm the ability of such plant communities to ameliorate these factors.
Reconstructing the SAV Decline
Historical trends in data for SAV distribution and abundance, sediment
and nutrient loading and herbicide use (Fig. 1) coupled with experimental
results and model simulations reported here allow development of a plausible,
although not conclusive, scenario concerning the observed decline of SAV in
Chesapeake Bay.
Accelerated soil erosion and sediment loading associated with extensive
land development in the late 1950's apparently led to elevated turbidity in
several regions of the estuary (28, 29, 30, 35). Nutrient loading also in-
creased from point sources associated with population centers and from regional
diffuse sources associated with intensifying agriculture. In the Patuxent
River estuary, marked declines in SAV populations (59) coincided with increased
turbidity and nutrient concentrations. In the Potomac River, invasion by M.
spicatum followed by proliferation of blue-green algal mats, correlated wiTh
expanding sewage discharges and incipient declines in native SAV (60). The
establishment of M. spicatum in brackish portions of Chesapeake Bay proceeded
a general SAV decTine (11), which may have been a response to eutrophication
(52). In the late 1960's, it appears that strict erosion control practices
reduced sediment runoff inputs and associated turbidities in some regions;
however, nutrient inputs continued to rise. The general use of herbicides for
agricultural weed control in the watershed in the mid-1960's may have contrib-
uted slightly to deteriorate SAV growth conditions, and the greater tolerance
of ^. spicatum to herbicides is consistent with the observed brief prolifera-
tion of this species. Possibly further compounding these stressed conditions
was the drought of the 1960's (Fig. 1) which led to increased salinities (61)
and probably salinity stress for various freshwater species (62). In the
summer of 1972 a 200 year storm event resulted in rates of sediment deposition
up to 25 cm (63) in some locations, virtually burying local plant communities.
While this storm occurred well after the initial evidence of SAV decline, its
effects are apparent in plant abundance data (Fig. la). There is also evidence
for considerable damage to SAV populations from intense grazing and foraging
episodes by waterfowl and fish (64, 65).
While it is impossible to definitely demonstrate what caused the SAV
decline, data from controlled experiments, as well as recent field observations
and historical records all suggest that nutrient enrichment and increased
turbidity probably played major roles. Herbicide runoff may represent an
ephemerally and locally important stress, but our data indicate its contribu-
tion to this general die-back has been minimal. Major meteorological events
and direct grazing certainly have contributed to the rigors of SAV existence
and may have accelerated the recent decline, but historical records indicate
these factors probably also played a secondary role.
IX-17
-------
r
Management of SAV Resources
The potential for improving environmental conditions for propagation and
growth of submerged vascular plants in the estuary can be considered in terms
of the relative importance and controllability of key factors. Herbicide
losses from croplands to adjacent watercourses can be reduced by such measures
as alternative weed control techniques and "buffer stripping" at the margins
of fields; however, the socio-economic costs of such strategies would be con-
siderable (66). Research results presented here indicate herbicides exert a
minor influence on SAV, so that the wisdom of such measures may be questionable.
Three major sources of suspendable sediments to the estuary are runoff,
shoreline erosion and resuspension of bottom sediments (67). Both shore ero-
sion, which is important in the middle bay and eastern shore tributaries (67,
68), and resuspension, which dominates in most estuarine shallows (25), are
largely uncontrollable. Existing soil conservation practices have been reason-
ably effective in reducing sediment runoff (29, 30) and probably represents a
realistic management option, given the apparent contribution of suspendable
sediments to the SAV decline.
Although nutrient inputs to Chesapeake Bay from sewage effluents represent
less than 20% of the total for nitrogen (69), in some areas such as the Potomac
and Patuxent Rivers, they are a major source which can be controlled, albeit
at considerable cost. Diffuse sources, dominated by agricultural runoff,
represent the largest nutrient input to the estuary, and efforts to develop
effective controls are crucial. The substantial experimental and correlative
data available strongly suggest that nutrient enrichment has resulted in losses
of submerged vascular plants in a variety of aquatic systems, including Chesa-
peake Bay. This, coupled with other documented consequences of excessive
fertilization (e.g. noxious algal blooms and anoxic bottom waters) point to a
considerable need to focus on nutrient waste management.
The role of SAV communities In maintaining water quality and promoting
secondary production has been well established in general and in Chesapeake
Bay in particular. For example, it has been estimated that about 50% of the
current sewage derived nutrient inputs to the bay could have been assimilated
by healthy SAV communities which existed in 1960 (70). Kahn (71) has calcu-
lated that previous SAV populations supported a fishing resource valued in
excess of a million USA dollars per year. Nevertheless, estuaries are char-
acteristically stressed environments, and such natural stresses combined with
anthropogenic factors tend to make estuarine littoral regions only marginally
compatible with SAV physiological requirements. If a decision were made to
attempt a reversal of this SAV decline, it appears that several steps would be
required, first, nutrient inputs should be reduced and efforts should be made
to continue and improve soil erosion control practices. Second, a better
understanding of propagation and reproduction mechanisms and capabilities of
these plants is needed. Finally, a substantial program (possibly involving
direct transplanting) might be required to accelerate restoration of these SAV
communities.
IX-18
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