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
transfer   and  a  maximum  interface  in  related
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.

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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

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     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

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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-
tures—a 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

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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

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                                           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

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                                             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

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                                                  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

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                                                  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

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                                            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

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                                              MAX .09
        100
800
 900
FLOW
                                 400
000
Figure 8.   Response surface (isopleths)  of  proto-
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            tration of O.O5 mM NO   .
                      23

-------
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                                                 600
Figure 9.  Response surface  (isopleths) of algal
           standing crop in upstream community
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           tration of 5.0 mM N0~
                         24

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 GOOOr
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                of  5.0 mM NO~  .
                             O
                            25

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                                                 900
Figure 11. Effect of predation on the response
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           NO „.
                        26

-------
  IP I-
MAX 0995
Figure 12. Response surface  (isopleths) of pro-
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           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.
-
,1

\ /'

' 1 1 , - 	 	 -1 	 1 	 1 	 1 	 1 	 1 	 I .....
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
-------
(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

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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

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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

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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

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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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