Ecological Research Series
Biological Models Of
Freshwater Communities
I
55
\
UJ
O
Office of Research and Development
U.S. Environmental Protection Agency
Washington, D-C. 20460
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RESEAECH REPORTING SERIES
Research reports of the office of Research and
Monitoring, Environmental Protection Agency, have
been grouped into five series. These five broad
categories were established to facilitate further
development and application of environmental
technology. Elimination of traditional grouping
was consciously planned to foster technology
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fields. The five series are:
1. Environmental Health Effects Research
2. Environmental Protection Technology
3. Ecological Research
4. Environmental Monitoring
5. Socioeconomic Environmental Studies
This report has been assigned to the ECOLOGICAL
RESEARCH series. This series describes research
on the effects of pollution on humans, plant and
animal species, and materials. Problems are
assessed for their long- and short-term
influences. Investigations include formation,
transport, and pathway studies to determine the
fate of pollutants and their effects. This work
provides the technical basis for setting standards
to minimize undesirable changes in living
organisms in the aquatic, terrestrial and
atmospheric environments.
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EPA-660/3-73-008
August 1973
BIOLOGICAL MODELS OF FRESHWATER COMMUNITIES
By
Dr. Frieda B. Taub
College of Fisheries
University of Washington
Seattle, Washington 98195
Project 16050 DXM
Project Officer
Dr. Walter M. Sanders III
Southeast Environmental Research Laboratory
Environmental Protection Agency
Athens, Georgia 30601
Prepared for
OFFICE OF RESEARCH AND DEVELOPMENT
U.S. ENVIRONMENTAL PROTECTION AGENCY
WASHINGTON, D.C. 20460
For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C. 20402 - Price $1.06
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EPA Review Notice
This report has been reviewed by the Environ-
mental Protection Agency and approved for
publication. Approval does not signify that
the contents necessarily reflect the views
and policies of the Environmental Protection
Agency, nor does mention of trade names or
commercial products constitute endorsement or
recommendation for use.
11
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ABSTRACT
Data from continuous cultures of an alga (Chlamydomonas
reinhardtii)and protozoan (Tetrahymena vorax)have been
used to construct a model of algal standing crop over
ranges of light intensity, dilution rate, and nutrient
concentration both in the absence and presence of pre-
dation by the protozoa.
The model has been used to demonstrate response surfaces
for the steady-state standing crop values for the algae
and protozoa over the ranges used in the laboratory
experiments (shown as isopleths). The physical variables
had a marked effect on the algal standing crop which
influenced the growth rate of the protozoan. The stand-
ing crop of the protozoan was determined by growth and
dilution rates. The effect of the predation was depen-
dent on the protozoan standing crop. The response
surfaces indicate that predation can reduce algal stand-
ing crop only within certain ranges of the variables
considered.
The experimental density results and the model pro-
jections, adjusted for the daily varying flow rates,
are shown. The chemical analyses for steady-state cul-
tures are reported but not entirely integrated into the
model.
The comparative toxicities of Aroclor 1242, a poly-
chlorinated biphenyl and DDT, were tested on the alga
and protozoan, and also on daphnids, ostracods, and
guppies.
This report was submitted in fulfillment of Project
Number 16050 DXM, under sponsorship of the Environmental
Protection Agency-
111
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CONTENTS
Section Page
I Conclusions 1
II Recommendations 3
III Introduction 5
IV Methods and Materials 7
V Experimental Phase 15
VI Discussion 63
VII Acknowledgments 71
VIII List of Publications 73
v
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FIGURES
PAGE
1 Response surface (isopleths) of algal standing 16
crop in upstream community (flask A or C) at
nutrient concentration of 0.5 mM N0_.
2 Response surface (isopleths) of algal standing 17
crop in downstream community (flask B) at
nutrient concentration of 0.5 mM NO .
3 Effect of predation on the response surface e 18
(isopleths) of algal standing crop in downstream
community (flask D) at nutrient concentration of
O.5 mM N0~.
4 Response surface (isopleths) of protozoan standing 19
crop in downstream community (flask D) at
nutrient concentration of 0.5 mM NO .
5 Response surface (isopleths) of algal standing 20
crop in upstream community (flask A or C) at
nutrient concentration of O.05 mM NO .
6 Response surface (isopleths) of algal standing 21
crop in downstream community (flask B) at
nutrient concentration of O.O5 mM NO .
7 Effect of predation on the response surface 22
(isopleths) of algal standing crop in downstream
community (flask D) at nutrient concentration of
0.05 mM N0~.
8 Response surface (isopleths) of protozoan standing 23
crop in downstream community (flask D) at
nutrient concentration of 0.05 mM NO .
9 Response surface (isopleths) of algal standing 24
crop in upstream community (flask A or C) at
nutrient concentration of 5.0 mM NO .
.3
1O Response surface (isopleths) of algal standing 25
crop in downstream community (flask B) at nutrient
concentration of 5.0 mM NO .
vi
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FIGURES
PAGE
11 Effect of predation on the response surface 26
(isopleths) of algal standing crop in down-
stream community (flask D) at nutrient con-
centration of 5.0 mM NO .
12 Response surface (isopleths) of protozoan 27
standing crop in downstream community
(flask D) at nutrient concentration of
5.O mM N0~
13 Experimental algal standing crop in 28
experiment BM-1.
14 Model algal standing crop in experiment BM-1. 29
15 Experimental and model protozoan standing crop 30
in experiment BM-1.
16 Experimental algal standing crop in experiment 31
Bm-3.
17 Model algal standing crop in experiment BM-3. 32
18 Experimental and model protozoan standing 33
crop in experiment BM-3.
19 Experimental algal standing crop in experiment 34
BM-4.
20 Model algal standing crop in experiment BM-4. 35
21 Experimental and model protozoan standing crop 36
in experiment BM-4.
22 Experimental algal standing crop in experiment 37
BM-5.
23 Model algal standing crop in experiment BM-5. 38
24 Experimental and model protozoan standing crop 39
in experiment BM-5.
vii
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FIGURES
PAGE
25 Experimental algal standing crop in 40
experiment BM-7.
26 Model algal standing crop in experiment BM-7. 41
27 Experimental and model protozoan standing 42
crop in experiment BM-7.
28 Experimental algal standing crop in 43
experiment BM-9.
29 Model algal standing crop in experiment BM-9. 44
3O Experimental and model protozoan standing crop 45
in experiment BM-9.
31 Response of Chlamydomonas reinhardtii to the 46
addition of various concentrations of Aroclor
1242.
Vlll
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TABLES
No. Page
1 Experimental Conditions - Design 47
2 Experimental Conditions and Results
at Steady State 49
3A BM-1 Chemical Analysis 50
B BM-1 Pigment Analysis 51
4A BM-3 Chemical Analysis 52
B BM-3 Pigment Analysis 53
5A BM-4 Chemical Analysis 54
B BM-4 Pigment Analysis 55
6A BM-5 Chemical Analysis 56
B BM-5 Pigment Analysis 57
7A BM-7 Pigment Analysis 58
B BM-7 Pigment Analysis 59
8A BM-9 Pigment Analysis 60
B BM-9 Pigment Analysis 61
9 Summary of PCB Toxicity Studies 62
IX
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SECTION I
CONCLUSIONS
The model demonstrates the range of experimental con-
ditions over which predation can reduce algal standing
crop. Under these conditions, the reduction in algal
population is marked and the range of conditions sup-
porting high algal populations is reduced. Predation
control cannot occur under either of two conditions:
(1) if the algal standing crop is very low, even if
the washout due to dilution is low, and (2) even if
algal growth rate and production is high and the
standing crop moderate, if the washout due to dilution
is high. The model provides a means of analyzing
standing crop as a function of experimental conditions
in spite of variabilities in flow rates (largely due to
the inadequacies of the pump).
Aroclor 1242 appeared to temporarily inhibit the
growth rate of Chlamydomonas as evidenced by cell
counts and C uptake, while DDT did not appear to
have any effect. A greater concentration of PCB was
found in the algal cells than in the media, indicating
that concentration and passage of the biphenyl com-
pounds through the food chain may take place. Neither
Aroclor 1242 nor DDT in the amounts tested appeared to
have any effect on the growth or cell density of
Tetrahymena vorax cultures. Daphnia pulex were quite
sensitive to additions of Aroclor 1242 as low as 0.02
ppm. The toxicity of PCB and DDT to the ostracod
Cypridopsis vidua appeared to be approximately the same.
Young guppies died in concentrations of 2 ppm Aroclor
1242. Aroclor 1242 appears to have a much lower
toxicity to cladocerans and guppies than p,p'-DDT.
Although the effect of PCB on algal growth appeared to
be temporary, in view of its evident capability to be
passed through the food chain and its selective
toxicity to certain zooplankton, it would be unwise to
attempt to predict its effect on the ecosystem without
further study.
The alga-protozoan model here is of limited use as a PCB
or DDT test system, but an excellent test system for
algicides. The PCB-DDT effects can be tested on our
alga-daphnids, alga-ostracods, or alga-daphnids-ostracod-
guppy system.
1
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SECTION II
RECOMMENDATIONS
The adequacies of the model to explain experimental
results should be further explored. The community
metabolism and chemical composition data should be
integrated into the model.
The model should be explored for its adequacy to
explain natural communities. Specifically, the
usefulness of the analogy of washout and predation
mortality should be explored.
Effects of toxicity and other stresses should be
evaluated on these alga-predator systems.
More complex communities should be studied, both for
modeling and for use of toxicities and other stress
effects. Community metabolism or total system
analyses may have to be used, since these systems will
have to be non-homogeneous and aliquot sampling will
not be feasible.
Community metabolism and stresses of carbon limitation
should be studied with continuous cultures, with in
situ 0 and pH probes, and with automatic and recor-
ding pH equipment.
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SECTION III
INTRODUCTION
One of the consistent effects of urbanization is the eutro-
phication of water bodies. To the extent that the associated
increased primary productivity channels to invertebrates and
ultimately to fish production, and provided that the algal
standing crop does not become a nuisance, eutrophication is
beneficial. Complex aquatic communities are thought to have
compensatory mechanisms which damp responses over some
undefined range of stress, e.g., added nutrients. When these
compensatory mechanisms are stressed beyond their capacity,
the established communities rapidly shift to less desirable
structures. The most notable undesirable attribute is
usually a high algal standing crop. The failure of herbi-
vores to effectively crop down high algal standing crops
(provided the greens are not replaced by blue-greens) is not
currently well understood. In these conditions, herbivore
populations must be limited by something other than food
availability-
The complimentary use of a biological culture system and
a mathematical simulation model has provided the opportunity
for rapid exploration of hypotheses on the mathematical
model, and a check of their validity with the laboratory
biological model. This study has provided an intermediate
test system between pure cultures and the complexities of
real lake systems. In situations where nutrient input cannot
be eliminated, many of the noxious conditions of decaying
algal blooms could be prevented if the conditions favoring
consumption could be enhanced.
This report emphasizes the yet unpublished results of the
study. The model described here has been developed in part
from the earlier published work of this grant. The first
study (Taub, 1969a) demonstrated that batch gnotobiotic com-
munities could be maintained for periods as long as 170 days
provided that new growth medium was occasionally added to
make up for the volume lost by sampling and evaporation.
Communities of an axenic alga Chlamydomonas were compared
with communities of Ch1amydomonas with the herbivorous pro-
tozoan Tetrahymena and the bacteria Pseudomonas, Cytophaga
and Aerobacter» The algal density was not reduced by the
presence of the other organisms in these batch communities.
-5-
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A second study (Taub, 1969b), showed that in batch com-
munities, even the presence of a larger herbivore, the
rotifer Philodina, resulted in only a temporary reduc-
tion in algal abundance. The major effect of the roti-
fer was to reduce the abundance of the protozoan either
by competition for food or by predation. The absence of
3 of the 6 kinds of bacteria had no effect. A third
report, (Taub, 1969 c), demonstrated that a two-stage
continuous culture of the alga, protozoan and 2 bacteria
could be maintained and that they responded to changes in
flow rate and light intensity. At high dilution rates
(l.O and 1.4 per day) and high light intensities algal
populations and Pseudomonas were low in the upstream com-
munity, and the protozoa and E. coli^ became extinct,
whereas at lower dilution rates (O.57 and 0.73) all of
the organisms were able to maintain steady-state populations,
At reduced light intensities and the lower dilution rates,
the algal densities were markedly reduced and the protozoan
population was able to persist at a dilution rate of 0.5
but not 0.75 per day. An assumption of a Mechalis-Menten
relationship between the growth rate of the protozoan and
the abundance of the algae as the substrate, accurately
predicted protozoan extinction, but not steady state
populations. The downstream and yield communities were
progressively denser and more stable to the environmental
changes. The continuous culture technique provided more
sensitive communities as well, as being more amenable to
analyses. These formed much of the basis for the new work.
The comparative toxicities of DDT and Aroclor 1242, and to
a more limited degr.ee, (2 , 3-Dichloro-l, 4 naphtoquinone)
have been investigated. Various other exploratory studies
are reported here.
-6-
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SECTION IV
MATERIALS AND METHODS
Biological Culture Model
The biological/computer simulation model systems have been
used to study the control of algal standing crop by herbi-
vores over a range of environmental conditions of nutrient
concentration, light intensity and flow rates. The test
organims are an alga (Chlamydomonas reinhardtii) and
herbivorous protozoan (Tetrahymena vorax V S).
The biological culture model consists of a two-flask con-
tinuous culture with only algal cells and a parallel
system with the addition of protozoa in the second growth
flask. The alga only system flasks are designated:
Reservoir > A > B > G
(upstream) (downstream) ("green" yield)
The alga-protozoan system flasks are designated:
Reservoir > C > D =» R
(upstream) (downstream) ( ''red" yield)
alga pop- alga and alga and protozoan
ulation protozoan populations
populations
This arrangement permits the second growth flasks and yield
reservoirs to be maintained in the dark for determining
algal death and predation rates, or in the light for
determining algal regrowth-predation-light interactions.
The variables of nutrient concentration, flow rate, and
light intensity have all been shown to be major deter-
minants of the community behavior. In general, the
physical conditions are set, the culture monitored by
optical density (OD) and cell count until a steady state
is reached (one week with less than 1O% change), and then
the culture is harvested for chemical data and cell
enumerations. In some of the latter experiments, con-
ditions have been changed during the states to examine
response times. In most experiments the flow rates could
not be maintained at adequate constancy throughout the
course of the experiment.
-------
The nominal environmental conditions were, therefore,
only an approximation of the actual experimental con-
ditions, and it was necessary to use an average flow
rate and average cell densities for the period of
"steady state" conditions when the culture was har-
vested for chemical analyses; the temperature was
20 ± 2C; light was provided by cool white fluorescent
and incandescent (except at 1OOO ftc, when only the
former were used); the approximate culture volume was
5OO ml per flask; the nutrient solution was Medium 63
(Taub and Dollar, 1968), except when noted that NCX
was altered (PO concentrations were also altered to
maintain the same N:P ratio).
Computer Simulation Model
The computer simulation model computes the population
densities of the algal and protozoan populations and
the concentrations of dissolved organic and inorganic
substrates, given the physical conditions, by the pro-
cedure outlined below. Each of these four modeled
components is represented by a differential equation,
which expresses the rates of change of the component
with respect to time. The model starts with the basic
Lotka-Voltera equations for a predator-prey system.
The differential equations are then modified to include
the effects of inflow and washout to represent the
chemostat environment.
Second flask equations:
Increase =growth-mortality-outflow+inflow-predation
dA
2=|l A -DA -dA +dA -k A_P (1)
a 2. 2. 2. L L 2
dt
Increase = growth-mortality-outflow
dP = |i P-dP-D^P (2)
dT p 2
Increase = inflow-outflow-consumption+recycling
2 - dS -dS -y, A+R (3)
J- Z cl
dt
-------
Increase = inflow-outflow+production-utilization
d°2=dO -do +k n A -k O P (4)
1 2. 2 a 2 32
dt
where A algae population, A first flask, A , second
flask (numbers/ml)
P-protozoan population (numbers/ml)
S-nitrogen substrate (mg/ml)
0-organic dissolved substances (mg/ml of nitrogen
content)
D ,D algal and protozoan death rates (daily
rates)
I_L , p. algal and protozoan growth rates (daily
a p
rates)
d dilution rate (daily rates)
Y- yield coefficient of algae
R nitrogen substrate available for algae growth
from recycling
k ,k ,k -rate coefficients
J_ ^ -J
In the model the growth rate of the algal
population is based on the Mechalis-Menton equation modi
fied to include the effects of both light and substrate
concentration. The following equation fits the experi-
mental results at the .05 level of significance:
M. = [L LS
a max
L (K +S)+SK, (5)
s 1
-------
where 11 - maximal growth rate of algae
max
L - light intensity at mid -depth of the culture
S - substrate concentration
K Kn constants (Michaelis-Menton constant)
s, 1
The yield coefficient of the algae, Y, has been represen-
ted as a function of available nitrate substrate.
A linear regression equation was fit to the experimental
data in order to predict protein concentration from sub-
strate levels.
The optical density in the model is calculated from
a multiple regression equation that includes algal den-
sity and substrate concentration. The light intensity
at mid-depth of the culture is computed using Beer's Law.
,6,
where I -incident light intensity
A extinction coefficient as measured by optical
density
d depth of interest
It is appropriate to recognize that the growth of the
protozoan predator should be similarly modified so 1hat
|_l in equation (2) is replaced by:
p
where |_r is the maximum growth rate of protozoans
which is proposed to be a function of algae protein con-
centration and K is a constant.
10
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One more additional consideration is necessary to make the
model more realistic. It is unlikely that growth rates
adjust instantaneously and to allow for this possibility
a time delay factor is included in the algae growth
equation. Thus, equation (5) can be written:
^r^max LSt-At (5'>
L(V S)t-At+St-AtKl
This says that the growth rate depends on the substrate
concentration not at present time but at a previous time.
At units earlier. A time lag of .1 days has been deter-
mined by best fit.
The model has been used to calculate the response surface
for a range of flow and light conditions. To generate
each point on the isopleth grid, the model was run for
a sufficiently long time period that the populations
reached a steady state. Contours of equal population
density were then drawn on the grid. The algal isopleths
represent cell density in millions/ml (1O /ml) and pro-
tozoan isopleths are in ten thousands/ml (1O /ml).
The model is programmed in MIMIC, a digital computer
simulation language packaged by Control Data Corporation
and run on the CDC 64OO computer. MIMIC performs
integration of systems of differential equations by
a centralized integration routine, using a fourth order
variable step Runge-Kutta algorithm. The language pro-
vides routines for the time sequencing of events and
output of the results in both tabular and plotted form.
Although the models will be subject to further refine-
ments, both the biological and mathematical models are
now functional tools.
Toxicity Studies
Five different organisms were used in the present inves-
tigation: the alga Chlamydomonas reinhardtii, the ciliate
protozoan Tetrahymena vorax, the cladoceran Daphnia pulex,
the ostracod Cypridopsis vidua, and the guppy Poecilia
reticulata. Media 63 was the experimental medium in which
the effects of the toxicants upon algae, cladocerans, and
ostracods were studied. Bioassay media, modified from
Fernell and Rosen to contain 1/10O of the organic
11
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components and 1/10 of the organic salts, was used for
the Tetrahymena studies. Coarsely-filtered pond water
was used in the guppy toxicity tests. Disposable glass-
ware was used to prevent residue effects. At the start
of an experiment all culture vessels and media were
autoclaved at 250°C. for 25 minutes to insure sterility
(except the guppy experiments in,which pond water was
used). One hundred percent, p,p'-DDT, designated as
the "ESA pesticide reference standard" was used in all
DDT experiments and the Aroclor 1242 used was obtained
directly from Monsanto in St. Louis, Missouri. The
test chemical was generally added to the growth media
prior to the introduction of the organisms. Acetone
was used as a vehicle for DDT, and 95% ethyl alcohol
was used for the PCB at a concentration of O.2 ml sol-
vent/liter media. Initial algal concentrations were
0.1 x 10 cells/ml. Experimental cultures containing
algae and/or Daphnia were grown at 28.5 C.± 1 C. under
a bank of fluorescent lights at 900 foot-candles.
Tetrahymena vorax cultures, grown in test tubes, were
placed on a roller tube apparatus which rotated the
tubes at 1/5 rpm. Protozoan, ostracod, and guppy
bioassays were conducted under the conditions of 23.5
C±l C. and 75 footcandles of light.
The Chlamydomonas cells were killed and stained by adding
a drop of I -KI solution, then counted using a haema-
cytometer at 100X. The Tetrahymena were stained in the
same manner, then ten O.Ol ml drops of the culture were
distributed on a Falcon counting plate and the cells in
each counted at SOX. Carbon-14 uptake by algal cells
subjected to various concentrations of both DDT and PCB
was determined by incubating 5 ml samples with NaH CO
and using a standard filtration-planchet method. Gas
chromatography analysis was performed by Dr. James Saddler
of the Fisheries Research Institute on five algal cul-
turesa control, a solvent control, and three cultures
to which 20, 2, and 0.2 ppm Aroclor had been added. The
algal pellets and supernatant samples were extracted
with acetonitrilepetroleum ether; purified by elution on
a Florisil column; and injected into a gas chromatograph
equipped with an electron capture detector.
12
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Exploratory Experiments
1. Pollution demonstration.
2. Community Metabolism.
3. Multi-trophic level, self-sustained communities,
Methods are described briefly with the discussion.
13
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SECTION V
EXPERIMENTAL PHASE
Results
The current state of the model is most clearly demon-
strated by the response surfaces for algal and
protozoan standing crops calculated over the range of
variables tested, Fig. 1-12. The standing crop in
the actual experiment, and the model calculations
(based on environmental conditions including actual
daily flow rates) are shown in Fig. 13-30. The
nominal and actual experimental conditions are listed
in Tables 1 and 2. The chemical data collected on
the experimental runs at steady state is shown in
Tables 3-8.
Toxicity effects are reported in Table 9 and Fig. 31.
Results of the exploratory experiments are briefly
stated in the discussion.
15
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6000]
5000-
4000-
>30QO-
2000-
1000-
600
Figure 1. Response surface (isopleths) of algal
standing crop in upstream community
(flask A or C) at nutrient concen-
tration of 0.5 mM NO .
16
-------
6000
MAX 4.O
eoo
Figure 2. Response surface (isopleths) of
algal standing crop in downstream
community (flask B) at nutrient con-
centration of O.5 mM NO".
17
-------
MAX 3.99
600
Figure 3. Effect of predation on the response
surface (isopleths) of algal standing
crop in downstream community (flask D)
at_nutrient concentration of O.5 mM
N0~.
18
-------
MAX .689
600
Figure 4. Response surface (isopleths) of pro-
tozoan standing crop in downstream
community (flask D) at nutrient con-
centration of O.5 mM NO .
19
-------
MAX .67
6000
son
40M
tan
1000
.3
.t
.1
100
Figure 5
too
300
FLOW
400
900
600
Response surface (isopleths) of algal
standing crop in upstream community
(flask A or C) at nutrient concen-
tration of 0.05 mM NO
20
-------
MAX .86
son
5 3000
ton
1000
100
300
FLOW
400
900
Figure 6,
Response surface (isopleths) of algal
standing crop in downstream community
(flask B) at nutrient concentration
of O.05 mM NO
21
-------
MAX .57
600
Figure 7. Effect of predation on the response
surface (isopleths) of algal standing
crop in downstream community (flask D)
at nutrient concentration of 0.05 mM
NO '
22
-------
MAX .09
100
800
900
FLOW
400
000
Figure 8. Response surface (isopleths) of proto-
zoan standing crop in downstream com-
munity (flask D) at nutrient concen-
tration of O.O5 mM NO .
23
-------
MAX 18.95
600
Figure 9. Response surface (isopleths) of algal
standing crop in upstream community
(flask A or C) at nutrient concen-
tration of 5.0 mM N0~
24
-------
GOOOr
o
. "
CD -H
MAX 19.04
5000
4000
> 3000-
2000 -
1000-
8.0
2.0
100
200
300
FLOW
400
500
GOO
Figure 1O. Response surface (isopleths) of algal
standing crop in downstream community
(flask B) at nutrient concentration
of 5.0 mM NO~ .
O
25
-------
MAX 7.24
900
Figure 11. Effect of predation on the response
surface (isopleths) of algal standing
crop in downstream community (flask D)
at nutrient concentration of 5.0 mM
NO .
26
-------
IP I-
MAX 0995
Figure 12. Response surface (isopleths) of pro-
tozoan standing crop in downstream
community (flask D) at nutrient con-
centration of 5.O mM NO .
27
-------
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Response of Chlamydomonas reinhardtji to the
addition of various concentrations of Aroclor I242(
I06H
5!
^
K
O control
O solvent control
A-- .2 p. p.m.
D- - 2 p.p.m.
S-- 20 p.p.m.
-
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0 2 4 6 8 10 12 14 16 18 20 2
10
Fig. 31
DAYS
Effect of the addition of O.2, 2, and
20 pprn Aroclor 1242 on the growth of
Ch 1 amydomona s reinhardt ii . Each point
represents the mean of two obser-
vations whose individual values are
indicated as the range.
46
-------
Table 1: TABLE OF EXPERIMENTAL CONDITIONS
Experiment Media Flow Light
mM ml/day ftc
BM 71-1 .5 140 1000 all flasks
in light
71-3 .5 360 3000 B,G,D,R, in
dark
71-4 .5 500 30OO B,G,D,R, in
dark
71-5 5 3OO 3000 B,G,D,R, in
dark
71-7 .5 5OO 3OOO all flasks
in light
71-9 .5-5 30O 30OO all flasks
in light
Major deviations in experimental conditions.
BM-1
Experiment initialized at 3OOO ftc changed to 10OO ftc
on day 13. Flow rate high and variable( 1OOO ml-40 ml)
average 5OO ml until day 22 changed to 14O ml/day.
Day 27 1O ml of culture in Flask B was inoculated into
Flask D. Day 13 protozoans re-inoculated to density of
.1 x 1O analyzed day 35.
BM-3
Light intensity initialized at 1000 ftc changed to 3OOO
ftc on day 7 temp fluctuation on day 8 22.5 26.8 C
for 4-5 hours. Cultures contaminated on day 2O.
Analyzed day 24.
BM-4
Operation per design. Flow fluctuation, 340-62O.
Analyzed day 19.
47
-------
Table 1: continued
BM-5
Initialized on Med 63 changed to Med 66 on day 15.
Initialized flow at 400-6OO ml reduced on day 33 to
250-300 ml. Suspected low CO flow on days 29-33.
Gross fungal contamination day 39. Analyzed day 46.
BM-7
Flow on day 21, 150 ml day 22 O ml. Analyzed day
56.
BM-9
Initialized with media 63 ,stabilized at day 20.
Switched to media 66, day 21. Changed glassware
day 29 because of excessive wall growth. Analyzed
day 38.
48
-------
Table 2: Experimental Conditions and Results at Steady State
Average conditions (averaged over period considered stable)
Exp. flask algae prot flow Exp. flask algae prot flow
BM 71-1 A
B
G
C
D
R
BM 71-3 A
B
G
C
D
R
BM 71-4 A
B
G
C
D
R
4.33 140
4.95
3.15
4.54 148
1.15 .477
1.03 .269
3.31 332
4.75
4.23
3.78 330
1.56 .330
.76 .211
1.69 505
2.66
1.67
2.22 496
1.98 .066
1.26 0.37
BM 71-5 A
B
G
C
D
R
BM 71-7 A
B
G
C
D
R
BM 71-9 A
B
G
C
D
R
3.92
2.67
3.74
3.21
1.94
1.99
1.45
1.81
1.60
.74
1.30
1.61
1.70
2.60
5.00
2.75
4.32
6.84
257
251
1.103
.836
505
520
.OO69
.0075
347
316
.0515
.0635
-------
Table 3A: BM-1 Chemical Analysis
Conditlf
BIOLOt \L MODELS 70-1
February 24. 1971
o
22 C
Flow rate 140 ml/day
0^140 ^.35
400
Cell Density
Algae Protoz.
& i. °°
vol.
raj.
485 A
Ul
O 395 B
G yield
465 C
410 D
R yield
xlO /ml
3.98
4.6
2.65
4.05
1.14
1.05
xlO /ml 16mM
.47
.33
.26
.38
*0£ .21
^,(J3 .19
(Condition 1)
Whole Whole
Culture culture
"Biomass"
ash free
dry wt Protein %
MK/ml
.33
.27
.25
.25
.20
.29
rag/ml
.06
.04
.05
.05
.04
.07
Protein
17.4
15.6
19.7
21.5
19.9
23.0
Liquid
only
mM
'
.005
.0003
.006
.0001
.0001
0.0000
Liquid
only
mM
-
.0008
.0016
.001
.0018
.0025
Whole
Cul ture
Total
NH£ N re~ .
covered
mM
.6
.5
.6
.6
.5
.8
mM
.605
.5003
.606
.6001
.5001
.8000,
14
C CPM
per ml
194.1
343.9
590.9
561.7
152.8
224.3
,
per 10 cells
48.8
74.8
223.0
138.7
134.0
213.6
Conclusions:
Not Light Limited after 2nd flask.
N limited in the 1st flask .
Algal "mortality" between B and yield (to be further explored).
Consumption of algae occurred by protozoa;757. drop in algal cell density,presumably eaten in Flask D,slight further consimp-
Protozoan "mortality" between D and yield (to be further explored). ln yleld bottl««
No indication of increased algal production with cropping.
Slight if any increased NH4 free as a result of cropping; could be due to increased algal uptake.
-------
Table 3B: BM-1 Pigment Analysis
PIGMENTS
BM 71-1
3-31-71
chla
P & S Analysis
mg/1
chl b
carotenoids
Pheo pigment Analysis
mg/1
Chl a
Pheo a
A
B
.562
.204
G Yield .330
D
RY
1.431
2.492
0.552
.229
.118
.176
0.550
0.514
0.165
.139
.116
.134
0.330
.471
0.090
.478
.247
.388
1.256
.731
0.294
.148
.160
.080
0.312
2.951
0.391
-------
Table 4A: BM-3 Chemical Analysis
Sherer unit Continuous
Condition:
3OOO fc. 12 hrs on, 12 hrs dark
20* c (B, G, D, Red-Dark)
Flow rate: 360 ML/Day
Culture: * Sterility
Cell Pcnsitv
Volume
455 A
455 B
360^3
507 uC
565 t)
36**
Algae
x!06/ml
3.29
3.66
4.39
3.43
1.72
. 685
Protoz. OD
xlCT/ml 16raM
i ':
1 . 250 !'
! I'
! . 275 j.
j . 252 |
I . 244 i;
. 189 i . 210 i;
. 182 | . 145 I
Culture
Whole Whole
Culture culture
"Bionass"
ash free
dry wt Protein
M /ml mr;/wl
.. 2500
. 3160
. 2572
. 2432
. 2439
. 2633
; . 0472
. 0423
. 0400.
: . 0378;
i . 0577!
. 0471
BM-71-3
4/26/71
Liquid Liquid Wt
only only Cv
R03
% K02 "n **
Protein nM inM ml
18.9
13.4
15.6
15.5
23.6
17.9
O00002
-------
(Jl
CO
Table 4 B: BM-3 Pigment Analysis
P & S Analysis
mg/1
PIGMENTS
A
B
G
C
D
R
chl a
0.96
1.12
1.06
1.02
1.12
0.83
chl b
0.34
0.41
0.41
0.36
0.36
0.24
Carotenoids
0.28
0.31
0.33
0.27
0.34
0.27
BM-71-3
4-26-71
Pheopigment Analysis
mg/1
Chi a
0.829
0.94
0.93
0.84
0.73
0.37
Pheo a
0.34
0.27
0.46
0.30
0.32
0.77
-------
Table 5A: BM-4 Chemical Analysis
Sherer Unit CC
Condition:
3OQO ft. 12 hrs light B
20 C 12 hrs dk. D
Flow rate 500 /Day
+ Contaminated
Cell Donritv
xX06/ml
Protoz. OD
xlO /ml 16
Vol
425 A, 2.53
£> 445 B 2.35
i
StKJf'G 2.10
425 d+ 2.52
43O D + 3.08
48O'/R4- 1.80
.026
.039
.G. (Dark)
.R. (Dark)
Whole
Culture
"Bicr.iass"
ash free
dry w£
:r:M Mf,/rol
26o! .2094
290 ; .2137
220 ! .1983
270 . .2072
220 ! .1883 I
215 j .2139 i
BM 71-4
5-19-71
VSiols Liquid Liquid Whole
culture only only Culture
KO Total ^
'ro -. jjjjt N re- C CPM
Protein % ' 2 '"'4 covered
m^/t-,1 Protein c£I mH reJ-1 mM per ml per 10 cell
.0387 18.5 .140 O.OOO2 , ' 2604
i
.0385 18.0 .0288 " i ; ' ; 2551
.0472 ', 23.8 .0270' " ; ; ' 3128 '
.0401 ; 19.4 .0992, : . j 3104
.0474 j 25.2 .0002 " : ! 2918
.0456 ; 21.3 .0078! " ; ; ' 2681
-------
Table 5B BM-4
PIGMENTS
BM-71-4, 5-19-71
P & S Analysis
mg/1
Chi a Chi b Carotenoids
Pheopigment Analysis
mg/1
Chi a Pheo a
A
B
GY
C
D
RY
.72
1.00
.86
.84
.95
.93
.27
.40
.41
.32
.34
.37
.16
.26
.20
.19
.24
.22
.64
.87
.70
.73
.82
766
.17
.24
.29
.19
.294
-------
Table 6A: BM-5 Chemical Analysis
t_n
cn
Condition: Sherer unit CC
3000 fc.
120hrs
-------
Table 6B BM-5
' Flask Chi a
A 4.64
B 3.01
*-,fW r. _ .».-.*,..... --
GY " 4.23
C 3.66
D 5.13
RY ' "~ 5.61 -
P & S Analysis of Pigments
mg/1
Chi b
1.97
1.20
" ~ "'" " 2.13 - ' "
:i;77 ~"~ " '"
- 1.99 - ' "" ""
. 2.00'" ~"
BM 71-5
7-6-71
Carotenoids
0.90
0.59
" ' ' '1.04' ~
--"- - +,820"
" ""' "1.3 "~
1.22
-------
Table 7A: BM-7 Chemical Analysis
9-20-1971
BM-7-71
12 hours light - 12 hrs dark
Scherer unit - continuous culture
3OOO fc
Med #63
I.. -A
-I
Ln A
00
B
Green
C
D
Red
Temp. 22°C
Coll Densitv
:cl06/ml :d.OA/ml
Vol
427 .42x10
390 1.47x10
520 1.06xlO
427 .56x;106
Whole Whole
Culture culture
"BioTMss"
OD dry w£ Protein
I&TDM K"/:i\l ns/rl
.070
; .22OO
.300 .2850
.4OO
.140
445 .82x'l06.0056xlD4.340
540 1.47xl06.O044x|l04.328
: .2979
.2039
! .2511
i .3217
1
.O419 :
.0457
.0364 i
.0380 j
.0433 |
.0480 '
Liquid Liquid Whole
only o31y Culture
KO Total u
\. ... ' + N re- C CPM
% "2 'N 4- J ' covered ,
Protein s£! iri-1 nsM nM per ml per 10 cell,
! : i
18.6 0^240 ^.0002| ! j 2269
1 . {
16. 0 O.O084^.OOO!2 \ [ 2847
12.2 0.003d <. 0002 J i' 3079
18.2 0.166': s. 0002 j 1.1796
i ^ . !' ;
' ---; j !; ,
17.3 ;0. 0088 ^.0002 i , 3124 :
14.9 O.OO68COOOJ2 | ', 323O
Sterile Culture
-------
Table 7B: BM-7
PIGMENTS
BM 71-7
Sampled 9-20
P + S Analysis
mg/1
un
*£>
A
B
GY
D
RY
chlor a
0.700
1.137
1.046
0.922
0.841
0.775
chlor b
0.242
0.440
0.387
0.337
0.408
0.372
carotenoids
0.193
0.281
0.263
0.2O6
0.220
0.159
Pheo Analysis
mg/1
Pheopigments*
0.121
0.042
0.310
0.134
O.O71
O.419
* Variation between duplicates was larger than usual.
-------
Table 8A: BM-9 Chemical Analysis
BM-71-9 10/28/71
Chly #9O (reinhardtii)
12 hrs. Dark, 12 hrs light Q
Shere unit. 3OOO fc. Ts22 C
Med #66 Whole
Whole
Liquid Liquid Whole
A1"
VolxlO
A 485
B 450
340
reen
C 475
D 455
Red 300
Coll Densitv
2.63
2.54 :
5.47 j
2.81 !
3.06 ' .135
5.55 ' ''.16B
OD
16rnM
.520
.71OO
1.450
.640
.900
1.52
i^uii-ure
Bicrsass'
ash free
dry wt
Mi /ml
'
i .5067
' .5356
; .6933
: .5467
! .5844
; .7383
cuicura cr»j.y oniy culture
.^°3
Protein % 2 W14 m*
c^/nl - Protein siM mM mM
" |
.O878 ; 17.3 3.04i<-.005;
.1153 21.5 2.08K.005J
; . : i
.2699 j 38.9 ; 1.40J^.OO5j
.1085 j 19.9 , 2. 99 |<. 005;
.1646 ' 28.2 [ L.6o'<.005:
.3318 44.9 . 0.94;<.005[
local J^A
N re- C CPM
covered ,
mM per ml per 10 cell
i.
i
j 687
; 973
; 1 286
\ ; 643
:603
i: 217
Contaminat^ on 1O/6 Sterility showed + on 1O/28 - It was negative on 1O/2O
-------
Table 8B. BM-9 PIGMENT ANALYSIS
P & S Analysis
mg/1
B
chl a
3.99
5.56
11.16
5.75
7.34
13.39
chl b
2.02
2.51
5.10
2.25
2.71
7.10
Carotenoids
1.58
1.44
3.02
1.41
1.82
4.00
No Pheo Analysis conducted
-------
(Ti
TABLE 9
Summary of PCB toxicity studies. +++many survivors; ++ ~ most survivors;
+ ^. few survivors; 0 =: no survivors.
Test Table
Situation # age dose of PCB (ppm)
Daphnia
fed PCB-containing
cells*
direct addition of
PCB-alcohol
non-fed
fed
PCB-containing
algal cultures
Ostracods
PCB-containing
algal cultures
Guppies
direct addition
of PCB-alcohol
2
3
3
4
5
5
6
7
8
* Daphnia in PCB-free
O.OOO2 O.OO2 O.O2 O.2 2
young +++ +
young +++ +++ + 00
young +++ +++ ++ 00
arln 1 f- D
adult +++ +++ ++ 0
adult +++ +++ 0 O
adult +++ +++ +++ ++
young 0
young +++ +++ ++ 0
media were fed washed Chlamydomonas cells
20
O
O
0
O
o
o
0
o
0
grown
obser-
vation
day
4
4
4
3
2
9
3
7
1
in PCB
suspensions of the indicated doses.
-------
SECTION VI
DISCUSSION
The response surfaces of the model provide a pictorial
demonstration of the current model which incorporates
our present understanding. The interactions between
light intensity and flow (also dilution) rates can be
seen by examining the isopleths at any one concen-
tration, e.g. Fig 1, O.5 mM NO As can be seen from
the isopleth marked 3 (3x10 cells/ml) this density of
cells can be maintained as the steady state population
over the light intensity range of 10OO to 6000 ftc. if
the flow is relatively low, but can also be maintained
at progessively higher flow rate at progressively
higher light intensities. The downstream community
without predation. Fig. 2, shows that the potential for
further growth is rather limited. The effects of pre-
dation will be marked over most, but not all of the con-
ditions (cf Fig. 3 with Fig.2). The effects of the
predation are obvious when the range of conditions which
will support the maximal standing crop (light stippled
area, 3.5x10 cells/ml) are considered. With predation,
the maximal densities can be maintained only with flow
rates greater than 4OO ml and light intensities greater
than 3OOO ftc. The diagrams demonstrate that the algal
standing crop is not altered by the potential presence
of predators at either very favorable or very unfavorable
conditions.
The protozoan standing crop which results from the algal
cells consumed are shown in Fig. 4. They are highest
at the conditions which have demonstrated major effects
on algal crop.
A reduction in nutrient concentration to O.05 mM NO ,not
only sharply reduces the maximal standing crop, but also
shifts the pattern of the isopleths so that the highest
algal standing crops (moderately stippled area) occur
along the left border, i.e. maximal density can occur at
any light intensity but only at very low flows. The
maximum algal densities are only .5 - .7x10 cells/ml.
The effect of the protozoan predation is to sharply
reduce the range of conditions which would support even
the 0.5x10 cells/ml, but the O.3 and O.lxlO cells/m.1
densities would occur under the same environmental con-
4
ditions. Protozoan population is extremely low, .8 x 1O at the
63
-------
most, and would be ineffective over most of the environ-
mental range.
Increasing the nutrient concentration to S.OrnM sharply
increases the maximal standing crop, 14 x 10 cells/ml
(darkly stippled area) and in the upstream flask, the
maximum occurs along the left edge, i.e. almost irres-
pective of light, but only at low flows. In the down
stream community, the range of conditions contributing
to the maximal conditions are reduced. The effect of
the predation is marked and prevents algal densities
greater than 6.O x 10 cells/ml. The maximal protozoan
population is high, .9 x 10 cells/ml but can be main-
tained only under a limited range of conditions. Their
density is very sensitive to flow, but rather insensi-
tive to light intensity. Note that the protozoan den-
sity is only 50% increased, whereas the nutrient con-
centration was increased 1O fold.
The examination of the actual experimental runs is com-
plicated by the high variability in daily flow rates
(usually ± 1O%, occasionally ± 2O%). The seriousness
of this problem is demonstrated by the great sensitivity
of cell density to flow rate under some conditions, e.g.
Fig. 1, where a flow rate of 300 ± 30 ml/day would be
expected to result in changes from almost .5 to 3 x 10
cell/ml densities.
As with any simulation model there are several problems
involved in determining the validity or predictability
of the model. One method of testing the model is to
provide two independent sets of data, one for estimating
the parameters and one for testing the prediction of the
model. Experiments BM-1 through BM-7 were used to
estimate parameters for the following relationships:
O.D. - f (algal cone., substrate cone.)
Algae protein cone. - f (substrate cone.)
Algae growth rates - f (substrate cone., light)
Coefficient of predation - f (algal density,
protozoan density)
Algal natural mortalities
64
-------
The following list of parameters and functions were
estimated by making reasonable assumptions about values
and by experimenting with the model to produce accep-
table results. At most these functions are based on
one or two data points.
At - time lag for algae response to changing conditions
threshold level of nitrate substrate needed for algal
growth
protozoan growth rates - f (algal density, algal
protein cone.)
protozoan mortality rates - f (protozoan density,
light)
parameters for dissolved organic components
parameters for recycling of nitrate substrate.
To demonstrate the models ability to predict the den-
sities of the experimental runs, the daily flow rates
were used in the model. Generally, the agreement
between the experimental and model algal densities was
good, but there are some troublesome disagreements,
only some of which have satisfactory explanations.
Differences in initial responses are probably due to
differences in initial conditions; the model assumed
that the initial densities in all flasks was 1 x 10
cells/ml, whereas it was not in fact uniform. This
effect is especially obvious in BM-4 (Fig. 19 & 20).
Of greater concern are the occurrances in BM-5 (Fig.22
and 23) where two major peaks in algal density
occurred in the experimental data, but not in the
model. The experimental and model protozoan populations
also generally agree, but there are some inadequately
explained disagreements. In BM-1 (Fig. 15) and BM-5
(Fig. 24), the experimental population showed agreement
for some period of time, but then increased and were
highly variable. The model was then used to predict
the results of BM-9. Figures 28, 29 and 3O show the
experimental and model results. The experiment was
designed to be a near repeat to experiments BM-3 and
BM-5, and to give a measure of the response time to
a change in environmental conditions. It is difficult
to identify the causes of the lack of agreement between
the two results. As expected the model predicted
results that were much like the two earlier experiments,
however, the experimental results were quite different.
65
-------
Also the model fails to demonstrate how the algal
density could be higher in the presence of predation
than in its absence as shown in this experiment. The
model predicted the timing of steady state quite well
with a somewhat too rapid a response to the change
in environmental conditions.
More experimental data is necessary to establish the
amount of experimental variation, random noise in the
system, that can be expected and the degree to which
the model forecasts the results. We can obtain some
insight into the amount of variation within an
experiment by examining the variation that occurred
between flasks A and C. The variation between experi-
ments of similar experimental conditions, BM-3, BM-5,
and BM-9, needs to be examined further.
Plotting the assumed steady state results on the
isopleths indicates that the exact position of the
curves may be questioned. However, the general shape
and relative numbers appear to be reasonable. Thus,
the model can be used as an integral part of designing
experiments and in understanding the system.
The chemical data and the activity data have not yet
been adequately incorporated into the model.
Toxicity Studies
Figure 31 illustrates the effect of three different
doses (O.2, 2, and 2O ppm) of Aroclor 1242-alcohol on
the density of Ch1amydomonas over a period of 22 days.
Both the control and the solvent control followed the
typical parabolic growth curve with no initial lag
period. There was a period of rapid growth (the log
phase) followed by a leveling off of the population
size as the culture approached the stationary phase.
Aroclor-containing cultures did not follow this pat-
tern, however, but took a much longer time to approach
the cell density of the controls. In the Ch1amydomonas
cultures to which the two highest dosages of Aroclor
were added there appeared to be not only a delay
before exponential growth began, but an initial drop
in the algal density below the original inoculum size.
66
-------
The severity of the response was dose related. After
day 5, the growth rate of these inhibited cultures
increased so that by day 22 they had cell densities
similar to the controls. By day 22, the standing crop
of Ch1amydomonas in all of the cultures appeared to be
about the same. This experiment was repeated several
times with similar results, although the degree of
inhibition from equal additions of PCB varied somewhat.
This variation may be due to heterogeneity of the PCB
globular suspensions, or to differences in other
physical factors from experiment to experiment.
14
In order to determine whether C uptake by Chlamy-
domonas cells was also affected by the addition of
Aroclor 1242, the experiment was repeated using five
different doses of PCB(O.OOO2, O.O2, O.2,2, and 2O
ppm), incubating NaH CO , with samples taken from the
cultures at three different points in the growth period.
On day 4, the control had the greatest C uptake and
the PCB containing cultures had uptakes per cell and
perml in inverse relationship to their PCB concen-
tration. By days 11 and 15, the C uptake per cell
were all markedly reduced and showed no dose-related
response. These results were undoubtedly influenced
by the varying amounts of nutrients still available.
The C uptake per ml tended to increase during the
duration of the experiment, the values generally in
inverse relation to the dose.
A possible reason for the apparent recovery of
Chlamydomonas from the initial effects of PCB-containing
media is that the PCB was degraded or otherwise made
less effective during the course of the experiment. The
possibility that the fluorescent lights used in growing
the algae cultures were causing degradation of the
added PCB was investigated. Mason jars of Media 63
containing 2 ppm Aroclor 1242 were placed under the bank
of fluorescent lights for 7,5,2 or O days prior to
their inoculation with Chlamydomonas. All of the PCB-
containing cultures exhibited delayed algal growth and
there did not appear to be any correlation between
degree of inhibition and the length of time the media
was under the lights after the PCB was added. This
seemed to indicate that neither degradation by light
nor adsorption of PCB on the glass were significant
67
-------
factors in the delayed growth and subsequent recovery
of the Ch1amydomonas cultures. Another possibility
is that the PCB may have been metabolized either by
the algae or by contaminating bacteria. No difference,
however, was noted in the chromatograms between con-
taminated and axenic cultures, nor in degree of algal
growth inhibition, hence bacterial degradation of
Aroclor 1242 was probably not a significant factor.
(The EPA laboratory at Athens has suggested that this
result might have resulted from surface effects on
the transfer of CO from the atmosphere).
Data from the gas chromatography analysis seem to
indicate that the Ch1amydomon a s was concentrating
the PCB, for a much higher concentration was found
in the algal pellet (which took up about 0.05 ml in
volume) than in the one liter of supernatant. For
example, in cultures to which 2O ppm (mg/1) PCB had
been added, O.52 mg were detected in the algae, and
only O.04 mg in the supernatant. A large percentage
of PCB that was added was not recovered from either
the media or the algae. This may have been lost because
of adherence to the glass sides of the mason jars,
sinking of small PCB globules to the bottom, vaporization,
codistillation with water, metabolism by the algae, or
loss in the extraction, Florisil clean-up, or injection
processes.
14
The effect of DDT on the growth and C uptake of
Chiamydomonas cultures was studied. In the tested
concentration range of O.2 ppm to 2O ppm DDT, the
algal growth curves did not differ appreciably from
those of the controls. It is thus possible that
Chiamydomonas, like Dunaliella, is relatively DDT
resistant, and yet may be effected by polychlorinated
biphenyls which may restrict C uptake by a different
mechanism.
The toxicity of PCB and DDT to organisms other than
algae was then investigated. The growth curves of the
protozoan Tetrahymena vorax grown in the presence of
Aroclor 1242 (0.02 to 20 ppm) and in the presence of
DDT (O.Ol to 100 ppm) seem to indicate that neither
chemical has any effect upon the growth rate or
population size. Aroclor 1242 appeared to be fairly
68
-------
toxic to Daphnia pulex, however. Young Daphnia died
at levels as low as O.O2 ppm. Mortality may be
linked with other stresses as well, however, for
when the Daphnia were supplied with algal culture,
the death rate was cut to one-third. A comparison of
the relative toxicity of PCB and DDT to ostracods
revealed a greater mortality of Cypridopsis vidua at
20 ppm PCB than at the same concentration of DDT.
At 20 ppm there were no survivors out of 20 ostracods
in the Aroclor-containing cultures while there were
13 survivors in the DDT cultures. At lower concen-
trations, however, DDT appeared to have more of an
effect than the PCB. The guppy Poecilia reticulata
had 1OO% mortelity at 20 and 2 ppm, but only 25%
mortality at 0.2 ppm. The behavior of the fish just
prior to death in PCB-containing cultures was quite
different from the normal symptoms of hydrocarbon
pesticide poisoning. In some cases behavior included
rapid pivoting of the body with the nose pressed close
to the bottom of the jar; fungus-like growths were
also often associated with dying or recently-dead fish.
This study has been published, Morgan (1972).
Exploratory Experiments
1. Pollution demonstration
To serve both as a class demonstration and as an
exploratory study of stress conditions, an experiment
was conducted on the effects on complex communities of
low and high levels of organic pollution (O.O8 g/1 and
4 g/1 Nutrient Borth); DDT (10 ppm) and an algicide
(1.2 ppm, 2,3-Dichloro-l,4 naphtoguinone). The results
were obivous even to the most casual observation. With
low levels of organic enrichment, density of the algae
and zooplankton were enhanced, whereas at high levels,
the community was murky yellow green, objectionably
odoriferous and the zooplankton had died from lack of
oxygen. The DDT killed the zooplankton and an algal
bloom had occurred in the absence of predation. The
algicide killed the algae, and while not killing the
zooplankton, they were obviously starved and had had
no offspring.
69
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2. Community Metabolism
The 0 exchange of yields from some of the continuous
culture have been studied by C uptake, continuous 0
and pH recording, or photosynthetic respirometry- It
has been shown that the patterns are different in the
alga-only system as compared to the alga-protozoan
system. In general, the systems subjected to predation
tended to be the more productive per algal cell and per
volume (ml of culture). Algal cultures at higher
dilution rates also demonstrated greater O production
per cell than cells grown at lower dilution rates.
These data are only an index of what might be occurring
in the growth flasks, since these tests must be con-
ducted on external samples under altered conditions.
3. Multi-trophic level, self sustained communities.
Aquaria of various sizes and with various nutrient con-
centrations were inoculated with a complex community
to explore the nutrient budget which would be required
for an alga-zooplankton-fish (guppy) community where
primary productivity could serve as the initial energy
source (i.e. without dependence on an external source
of fish food. It became obvious that at least 18 liters
with an initial NO concentration of 5.O mM NO~ would be
necessary to even marginally supply enough N for guppy
growth. Without shelters, the zooplankton population
can be eliminated by the fish predation. If containers
of 18 liters (i.e. 5 gal. carboys) or larger can be
used, and if higher concentrations of N0~ are used, and
if shelters for the zooplankton can be provided, the
feasibility of self sustained communities seems
reasonable. The non-homogeneous nature of such com-
munities would require that community be assessed either
by community 0 exchange or by total analysis of
replicate samples.
70
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SECTION VII
ACKNOWLEDGMENTS
The efforts of Dr. Walter M. Sanders III, current Grant
project Officer and his predecessors, Dr. Frank Wilkes
and Mr. Joel Fisher are acknowledged with sincere thanks.
Mr. Daniel McKenzie has been responsible for the mathe-
matical modeling, as well as all computer services.
The culture work and chemical analyses have been con-
ducted by Ms. Ruth Hung and Mr. Fred Palmer with the
assistance of Ms. Kathleen Hamel. The pesticide studies
were conducted by Ms. Janet Morgan and are being con-
tinued by Mr. Joseph Cummins. Community metabolic studies
were conducted by Mr. Jonathan Heller. Exploratory pol-
lution and self-supporting communities were studied by
Mr. Benedict Satia. Ms. Liesel Rombouts has provided
secretarial support.
71
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SECTION VIII
LIST OF PUBLICATIONS
1. Taub, Frieda B. and Alexander M. Dollar 1968. "The
Nutritional Inadequacy of Chlorella and Chlamydo-
monas as Food for Daphnia Pulex", Limnology and
Oceanography, Vol. 13, No.4, pp. 607-617.
2. Taub, Frieda B., "A Biological Model Of A Freshwater
Community: A Gnotobiotic Ecosystem," Limnology
and Oceanography.. Vol. 14, No. 1, pp 136-142
(1969a).
3. Taub, Frieda B., "Gnotobiotic models of freshwater
communities", Verh. Internat. Verein. Limnol.,
Vol. 17, pp 485-496 (1969b).
4. Taub, Frieda B., "A Continuous Gnotobiotic (Species
Defined) Ecosystem", pp 101-12O. In John Cairns,
Jr, ed., The Structure and Function of Fresh-Water
Microbial Communities, American Microscopical
Society, (1969c).
5. Morgan, Janet R, 1972. "Effects of Aroclor 1242R
(a Polychlorinated Biphenyl and DDT on Cultures of
an Alga, Protozoan, Daphnid, Ostracod and Guppy".
Bulletin of Environmental Contamination & Toxicology,
Vol. 8, No. 3, pp 129-137.
6. Taub, Frieda B., "Insights Into Stability Of Bio-
logical Systems as demonstrated by a Chemostat" (in
manuscript), (1972)
7. Taub, Frieda B., "Continuous cultures of an alga and
its predator", (in manuscript, accepted for presen-
tation at the symposium "Modern Methods in the Study
of Microbial Ecology", International Biological Pro-
gramme, Sweden, June 1972).
-73-
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SELECTED WATER
RESOURCES ABSTRACTS
INPUT TRANSACTION FORM
I. Report No.
w
4. Title
BIOLOGICAL MODELS OF FRESHWATER COMMUNITIES
7. Aathor(s)
TAUB, Frieda B.
Washington University, Seattle, College of Fisheries
12. Sponsoring Organization u. S. Environmental Protection Agency
25. Supplementary Notes
Environmental Protection Agency report number,
EPA-660/3-73-008, August 1973.
S. PerfoTtaitJ!' Organization
RejfoitNo.
:0. Pfojecttio.
16050 DXM
11, Conicsctl Grunt Wo
EPA Grant 16050 DXM
13. Type of Repoz- and
Period Covered
Final Report
16. ^-Abstract
Data from continuous cultures of an alga (Chlamydomonas reinhardtii) and
protozoan (Tetrahymena vorax) have been used to construct a model of
algal standing crop over ranges of light intensity, dilution rate, and
nutrient concentration both in the absence and presence of predation by
the protozoa. The model predicts that predation can reduce algal, standing
crop only within certain ranges of the environmental variables.
The comparative toxicities of Aroclor 1242, a polychlorinated biphenyl,
and DDT, were tested on the alga and protozoan, and also on daphnids,
ostracods, and guppies. (Ta'ui-University of Washington)
17a. Descriptors
*Model studies, *Algae, *Protozoa, Chlamydomonas, Ciliates, Bacteria,
Nitrates, Light intensity, Primary productivity, Secondary productivity,
cultures, Pesticide toxicity, DDT
17b. Identifiers
*Chemostats, *Polychlorinated biphenyls
17c. COWKR Field & Gioup 05C
18, Availability
19. S,' rarity C 'fisg.
(Report)
20. Secun iy Class.
(Page)
21. No. of
Pages
22. Price
Send To:
WATER RESOURCES SCIENTIFIC INFORMATION CENTER
U.S. DEPARTMENT OF THE INTERIOR
WASHINGTON, D. C. 2O240
Abstractor Frieda B. Taub
Ia-:.Hu:tion University of Washington
R S i C ' O 2 (R £ V i i IN £:
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