&EPA
United States Office of Water (4305) EPA- 820-R-13-011
Environmental Protection December 2013
Agency
AQUATOX
MODELING ENVIRONMENTAL FATE
AND ECOLOGICAL EFFECTS IN
AQUATIC ECOSYSTEMS
Sensitivity Analysis of AQUATOX
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Contents
Introduction 1
Nominal-range Sensitivity Analysis 1
Interpreting Model Results 2
Overall Conclusions from Results 3
Lake Onondaga, NY 5
Chlorophyll a 5
Percent Blue-Greens 6
Other endpoints 8
Lake Onondaga, NY - Diagenesis Model 8
Hypolimnetic Sediment Oxygen Demand 9
Hypolimnion Oxygen 9
Hypolimnion Total Phosphorus 10
Other endpoints 11
Cahaba River, Alabama 11
Moss biomass 13
Zoobenthos biomass 13
Fish biomass 14
Other endpoints 15
DuluthPond, MN 15
Chlorpyrifos in Water 15
Zoobenthos Biomass 16
Fish Biomass 17
Other Endpoints 19
Ohio Stream with Chlorpyrifos 19
Periphytic chlorophyll a 19
Select Biomass Results 21
Galveston Bay, TX 22
PCB Burdens in Animals 22
Other Endpoints 25
Statistical Sensitivity Analysis 25
Onondaga Lake, NY 26
Blue-green Maximum Photosynthetic Rate 26
Blue-green TOpt 29
Cyclotella PMax 32
Onondaga Lake, NY, Diagenesis 37
ThetaGCIass2 37
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Cahaba River, AL 38
Smallmouth BassTOpt 38
Periphytic Green, % Lost with Sloughing Event 40
Chironomid, Selective Sorting 42
Duluth Pond, MN, Chlorpyrifos 44
Log Kow 44
Ohio Stream, Chlorpyrifos 47
Yellow Perch LC50 47
Galveston Bay, TX, PCBs 49
Sea Trout TOpt 49
Discussion of Nominal-Range and Statistical Sensitivity Analyses 51
Summary and Conclusions 54
References 56
Appendix A. Detailed Analysis of the Fate and Effects of Chlorpyrifos in the
Duluth Pond 57
Appendix B. Additional Select Tornado Diagrams for Each Simulation 62
Appendix C. Comprehensive List of Variables Tested for Each Nominal-range
Sensitivity Analysis 75
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Introduction
This report reflects the results of a comprehensive sensitivity analysis of AQUATOX EPA
Release 3. The approach was two-pronged. First, a nominal-range sensitivity analysis was
used to provide a comprehensive screening of various endpoints and relevant parameters and
loadings using calibrated studies. Second, parameters of particular interest were analyzed
more closely using statistical sensitivity analysis with user-defined probability distributions.
This analysis is intended both as an examination of the structural integrity and robustness of the
AQUATOX modeli.e. "is the model behaving appropriately?"and also as a guide for users
calibrating and analyzing the AQUATOX model for other sites.
The model runs presented here were performed with AQUATOX Release 3, and not Release
3.1. However, AQUATOX Release 3.1 is generally backwardly compatible with Release 3.0.
Two model updates that may change results are a minor change to the denitrification code and
a change in the manner that BOD is converted to organic matter. Neither of these updates
should have an appreciable effect on the results and conclusions presented herein. However
AQUATOX Release 3.1 also has many new options and capabilities that were not tested as part
of this analysis (e.g. diagenesis steady-state mode, floating cyanobacteria, and updates to the
perfluoroalkylated surfactants model).1
The studies chosen from the list of AQUATOX Release 3 distributed studies were intended to
span a wide range of water-body types, with a wide spectrum of nutrient and chemical
contamination issues:
Lake Onondaga NY: stratified eutrophic lake
Lake Onondaga NY, with Diagenesis: implementation of sediment diagenesis
model
Cahaba River, AL: shallow, nutrient-enriched, wadeable stream
Duluth, MN Pond with Chlorpyrifos: toxicant in mesocosm
Ohio Stream with Chlorpyrifos: toxicant effects in stream
Galveston Bay, TX: estuary with PCB contamination
Simulations were not altered from the simulations that are distributed with AQUATOX Release
3, with the possible exception of the simulation time periods.
NOMINAL-RANGE SENSITIVITY ANALYSIS
Depending on the complexity of each model setup and the goals of the sensitivity analysis,
between 45 and 890 parameters were tested for each site. Results in this document reflect a
total of over 1000 hours of CPU time. A complete list of the parameters tested may be found in
Appendix C of this analysis.
1 In addition, one model construct was changed as a part of the sensitivity-analysis process. Based on
the nominal sensitivity results, the "selective sorting" construct was modified so that it was desensitized.
This model change is reflected in the statistical sensitivity analysis included in this report and is also
included as part of AQUATOX Releases 3 and 3.1.
1
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Table 1. Overview of analyses.
Site name:
Lake Onondaga NY
Lake Onondaga NY, with
Diagenesis
Cahaba River, AL
Duluth, MN Pond with
Chlorpyrifos
Ohio Stream with Chlorpyrifos
Galveston Bay, TX
15%
Test
done
done
done
done
done
33%
test
done
done
done
done
Parameters
Tested
173
50
627
419
274
890
Ave.
Runtime
0.6 min
1.33hrs
21. 3 min
1 min
8.3 min
10.5 min
Tot. CPU
time
6.5 hours
133 hours
444 hours
3 hours
100 hours
308 hours
The nominal-range sensitivity analysis was run both to assess near-range sensitivity (adding
and subtracting 15% to each parameter's value) and also occasionally run with larger
differences (adding and subtracting 33%). Due to computer-time limitations, both tests were
not run for every site listed. For two sites, both near-range and far-range simulations were
utilized to examine the linearity of model response to parameter changes. Care must be taken
when interpreting far-range sensitivity results as an addition of or subtraction of 33% from a
parameter's value may bring that value outside the range of plausibility. For example, if all
measured values for a parameter fall within plus or minus 10% running the model with a 33%
change may be inappropriate. Furthermore, some parameters, such as Log Kow, have units
measured on a logarithmic scale. In this case, a 33% change is much more significant than a
33% change to a parameter with non-logarithmic units.
Parameters in the feeding-preferences matrix were not modified as part of this test, due to direct
dependencies of other feeding-preference parameters in the matrix. Tests outside of this
analysis suggest that the model is sensitive to food-web setup, however.
For all simulations tested, a few endpoints of particular interest were examined. However,
results were also generally produced for all nutrient, organic matter, and biota concentrations as
well. Increasing the number of parameters tested has a direct effect on how much time a
sensitivity analysis will take, but increasing the number of endpoints (for which results are
saved) does not. However, reporting all of these results was generally outside of the scope of
this report. Select results of interest are presented in Appendix B.
INTERPRETING MODEL RESULTS
When interpreting results of a nominal-range uncertainty analysis, a sensitivity statistic may be
calculated such that when a 10% change in the parameter results in a 10% change in the model
result, the sensitivity is calculated as 100%:
Sensitivity =
Result Pos
- Result Baselim
2-
+
ResultNeg
ResultBaseune
- Result Basdme
100
PctChanged
where:
Sensitivity
normalized sensitivity statistic (%);
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Result scenario = averaged AQUATOX result for a given endpoint given a positive
change in the input parameter, a negative change in the input
parameter or no change in the input parameter (baseline)
PctChanged = percent that the input parameter is modified in the positive and
negative directions.
The averaging period for sensitivity results is generally the entire period of the simulation.
For each output variable tracked, model parameters may be sorted on the average sensitivity
(for the positive and negative tests) and plotted on a bar chart. The end result is referred to as a
"Tornado Diagram" as shown throughout this document. When interpreting a tornado diagram,
the vertical line at the middle of the diagram represents the deterministic model result. Red
lines represent model results when the given parameter is reduced by the user-input percentage
while blue lines represent a positive change in the parameter. Within this report the top 14 most
sensitive variables out of all variables tested in a simulation are shown in each tornado diagram.
When interpreting sensitivity results, it is important to consider the endpoint being evaluated and
the system being modeled. For example, a 15% change in oxygen results in a system on the
verge of hypoxia could be very important. On the other hand, a 15% change in oxygen in a high
oxygen system may have little biological effect. It is also important to consider the uncertainty
in the input parameter being evaluated. Some parameters are constrained to a fairly narrow
range due to extensive study (e.g. Log Kow for many parameters). Other parameters may be
variable up to several orders of magnitude, either because of lack of scientific knowledge or
actual variability (e.g. "critical force" or FCrit for periphyton). Finally keep in mind that the
sensitivity is relative to the percentage change in the parameter. In other words 100%
sensitivity means that a 15% change in the parameter results in a 15% change in the endpoint.
OVERALL CONCLUSIONS FROM RESULTS
In the course of working through all the results from these sensitivity analyses, several
conclusions become clear:
AQUATOX biotic state variables are sensitive to temperature parameters
o These parameters include "optimal temperature," "maximum temperature," and
"temperature response slope."
o Changes to the temperature of water, itself, often produce sensitive results. This
would indicate the importance of obtaining accurate temperature data, site-
specific, if possible.
o Careful attention should be paid to these variables by anyone calibrating biotic
state variables; this conclusion was true for every type of site tested in this
analysis.
Consumption and respiration parameters are also particularly sensitive, especially when
allometric formulations are used for fish.
Algae are sensitive to their maximum photosynthesis rate (PMAX).
o This relationship is especially straightforward for phytoplankton biomass.
o Periphyton biomass are be predicted to have a similar response but rapid buildup
of biomass may be offset by sloughing of periphyton mats, so average results
often show less of an effect.
Simpler food-web models are more sensitive to effects from food-web interactions.
o For example a food web with five zoobenthos categories is less sensitive to
perturbations in a single zoobenthos parameter than a food web in which all
zoobenthos are represented by a single category.
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Some biotic state variables are subject to rapid growth and dieback processes and these
variables tend to be more sensitive to changes in parameters.
o For example, cryptomonad and periphyton biomass tend to be more sensitive
endpoints than the "slow-and-steady" moss compartments.
o Similarly, invertebrates tend to be more sensitive than fish.
"Percent lost in slough event" is a sensitive parameter for periphyton biomass.
"Sorting: selective feeding," a relatively new parameter that affects the ability of an
organism to avoid sediment dilution effects, is also a fairly sensitive parameter for many
animals. Based on the initial analyses, it was reformulated to be less sensitive. This
updated reformulation is present in both EPA Release 3.0 and 3.1.
Predictably, Log Kow is a highly sensitive parameter for toxicant fate and effect.
Many AQUATOX parameters show an essentially linear response when extrapolating a
15% change out to a 33% change. (In other words, one could use a line drawn from the
baseline model result, with 0% perturbation, through the perturbed model result with
15% parameter change, to fairly successfully predict what the model result would be with
a 33% perturbation.)
o This indicates that many of these sensitivity results may be extrapolated to a
wider range than tested. For example, consider a calibration procedure in which
predicted chlorophyll a needs to be increased by 25% in order to match observed
chlorophyll a and the sensitivity analysis suggests that a parameter has 100%
sensitivity to chlorophyll a. In this case, increasing the tested parameter by 25%
might help bring the endpoint into line with observed data. (This assumes that
increasing the given parameter by 25% is biologically defensible.)
Usually it's fairly easy to understand why other parameters are non-linear, e.g. they are
logarithmic or exponential parameters by nature.
When examining the full set of results, the nominal-range sensitivity analysis generally produced
results supportive of the validity of model construction. None of the examined effects on model
endpoints proved to be unexplainable. In this manner, this sensitivity analysis has provided
somewhat of a stress-test of the model. Thousands of alternative model parameterizations
have been tested without producing results that are unreasonable or outside of physical
plausibility.
In some cases, additional investigation may be required to determine why a particular
parameter causes a particular effect. A useful exercise can be to run the unchanged baseline
simulation as a "control" simulation and then run the model with the parameter change as the
"perturbed" simulation. This exercise can be performed with derivative "rates output" turned on
and a daily averaging period. Then the precise nature of model feedbacks that led to the
unexpected result can generally be tracked down. This was done to determine why there was a
discrepancy between nominal-range sensitivity analysis and statistical sensitivity analysis of
chlorpyrifos in the Duluth MN pond (Appendix A). For the most part, though, model results were
straightforward enough to render such an exercise unnecessary.
Two model parameterizations did reduce the model's time-step to nearly zero due to stiff
equations but neither appears to be a cause of great concern:
For the diagenesis model of Lake Onondaga, increasing the exponential temperature
dependence of pore water diffusion by 15% caused the model to freeze up. This
parameter is exponential in nature and an increase by 15% is likely outside the
reasonable range for this parameter.
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For the Cahaba River, increasing "selective feeding" for Corbicula to 1.15 caused the
simulation to freeze. The default parameter for this variable is 1.0 meaning that
selective feeding is perfect and sediment dilution has no effect on feeding for this
organism. In fact, the value of 1.15 is outside the allowable range for this parameter
which ranges from 0 to 1.0.
LAKE ONONDAGA, NY
As a test of which parameters are most sensitive within a highly impacted stratified lake, Lake
Onondaga New York was chosen as a case study. Summary:
A two-year simulation was performed on this highly-impacted eutrophic lake; results are
averaged over two years
Parameters tested include all phytoplankton parameters and all nutrient and organic
matter loadings (see Appendix C for a complete list)
Sediment diagenesis parameters were tested separately; this model run was performed
without the sediment diagenesis model included
Model was run with both 15% and 33% parameter tests
The two endpoints that were examined particularly closely were chlorophyll a, and
percent blue-greens (recently renamed "percent cyanobacteria").
CHLOROPHYLLS
Not surprisingly, chlorophyll a for this site was most sensitive to algal parameters, particularly
those for cryptomonad, which appears to be the algal compartment most subject to variability in
this simulation. (In the baseline simulation, cryptomonad comprises 30% of the predicted
biomass) The results also indicate that if the blue-green optimal temperature were to be
lowered, a blue-green bloom would occur creating a significant increase in the predicted
chlorophyll a. Parameters that caused the most effects on this output variable were maximum
photosynthesis rates and also temperature variables (temperature response slope and optimal
temperatures). Interestingly, increasing the inflow of organic matter to the system resulted in a
decrease in chlorophyll a concentrations, likely due to the effect on predicted turbidity (See
Figure B-1 in Appendix B).
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Sensitivity of Phyto. Chlorophyll (ug/L) to 15% change in tested parameters
3/30/2009 12:44:31 PM
65.6% - Cryptomonad: Max Photosynthetic Rate (1/d)
52.6% - Phyt, Blue-Gre: Optimal Temperature (deg. C)
52.5% - Cyclotella nan: Max Photosynthetic Rate (1/d)
49.1% - Cryptomonad: Temp Response Slope
46.5% - Cryptomonad: Exponential Mort. Coefficient: (max /d)
43.3% - Susp&Diss Detr: Mult. Point Source Load by
37.7% - Cryptomonad: Maximum Temperature (deg. C)
26.6% - Phyt, Blue-Gre: Temp Response Slope
24.2% - Cryptomonad: Optimal Temperature (deg. C)
23.3% - Greens: Max Photosynthetic Rate (1/d)
20.6% - Cyclotella nan: Light Extinction (1/m)
19.1% - Susp&Diss Detr: Mult. Non-Point Source Load by
16.3% - Cryptomonad Resp. Rate, 20 deg C (g/g d)
14.4% - Cyclotella nan: Temp Response Slope
23 24 25
Phyto. Chlorophyll (ug/L)
26
Figure 1. Sensitivity of Phytoplanktonic Chlorophyll a in Lake Onondaga NY.
Comparing the 33% parameter-change results (See Figure B-2 in Appendix B) with the 15%
results, blue-green temperature parameters stand out as being the most non-linear. Reducing
blue-green temperature parameters so that they can thrive in cooler water will cause dramatic
blue-green blooms in this simulation; however, 33% may be outside the range of plausibility for
some of these parameters. Other parameters tested are predicted to have a much more linear
response. For the most part, changing a parameter by 33% roughly doubled the response that
was predicted by the 15% change. One exception to this linearity is the loading of organic
matter. The relationship between organic matter and chlorophyll a weakens as the signal to that
parameter intensifies. In other words, there are limits to the extent of predicted chlorophyll a
responses given a change in organic matter.
PERCENT BLUE-GREENS
As of AQUATOX Release 3.0, this AQUATOX output has been renamed "percent
cyanobacteria." As mentioned above, the blue-greens (cyanobacteria) are subject to dramatic
blooms if the temperature parameters are lowered to allow this variable to thrive in cooler water
temperatures. This may not be a reasonable model parameterization, however, as a 33%
decrease in this parameter may not be biologically feasible. Other blue-green parameters that
significantly affect the percentage of blue-greens include the maximum photosynthetic rate,
respiration rate, and saturating light parameters. Increasing the photosynthetic rate of
Cyclotella nana (a diatom) would reduce the overall percentage blue-greens. (This is because
the "percent blue-greens" metric is calculated based on the percentage of blue-green biomass
relative to all algal biomass. In other words, a diatom bloom will cause a decrease in percent
blue-greens even if the blue-greens biomass stays constant.)
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Sensitivity of Percent Blue-Greens (%) to 15% change in tested parameters
3/30/2009 12:43:37 PM
720% - Phyt, Blue-Gre: Optimal Temperature (deg. C)
474% - Phyt, Blue-Gre: Temp Response Slope
244% - Phyt, Blue-Gre: Max Photosynthetic Rate (1/d)
200% - Phyt, Blue-Gre Resp. Rate, 20 deg C (g/g d)
119% - Cyclotella nan: Max Photosynthetic Rate (1/d)
60.3% - Phyt, Blue-Gre: Saturating Light (Ly/d)
50.5% - Greens: Max Photosynthetic Rate (1/d)
48.5% - Phyt, Blue-Gre: Light Extinction (1/m)
39.6% - Phyt, Blue-Gre: Maximum Temperature (deg. C)
35.8% - Cyclotella nan: Optimal Temperature (deg. C)
32.5% - Susp&Diss Detr: Mult. Point Source Load by
30.1% - Cryptomonad: Temp Response Slope
25.8% - Cyclotella nan Resp. Rate, 20 deg C (g/g d)
21.7% - Cryptomonad: Max Photosynthetic Rate (1/d)
5 10 15 20
Percent Blue-Greens (%)
^^^
^^
,
L_
|
g
'
25
Figure 2. Sensitivity of Percent Blue-Greens in Lake Onondaga NY.
Examining the 33% test (Figure B-3), as noted above, blue-green temperature parameters are
the most non-linear. For example, decreasing the blue-greens "maximum temperature"
parameter by 33% results in a "percent blue-greens" of 70 as opposed to the baseline of 11.
Non-temperature related parameters are approximately linear within this range of parameter
testing, however. Results for blue-green biomass, shown below, are very similar to the results
for the percentage blue-greens category.
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Sensitivity of Phyt, Blue-Gre (mg/L dry) to 15% change in tested parameters
1001.7% - Phyt, Blue-Gre: Optimal Temperature (deg. C)
594% - Phyt, Blue-Gre: Temp Response Slope
355% - Phyt, Blue-Gre: Max Photosynthetic Rate (1/d)
275% - Phyt, Blue-Gre Resp. Rate, 20 deg C (g/g d)
99.6% - Phyt, Blue-Gre: Light Extinction (1/m)
95.7% - Cyclotella nan: Max Photosynthetic Rate (1/d)
83.3% - Phyt, Blue-Gre: Saturating Light (Ly/d)
67.2% - Phyt, Blue-Gre: Maximum Temperature (deg. C)
28.2% - Greens: Max Photosynthetic Rate (1/d)
28% - Cyclotella nan: Optimal Temperature (deg. C)
27.9% - Phyt, Blue-Gre: P Half-saturation (mg/L)
27.1% - Phyt, Blue-Gre: Exponential Mort. Coefficient: (max /d)
23.3% - Cyclotella nan Resp. Rate, 20 deg C (g/g d)
22.4% - Cyclotella nan: Temp Response Slope
0.2 0.4 0.6 0.8
Phyt, Blue-Gre (mg/L dry)
Figure 3. Sensitivity of Phytoplanktonic Blue-Greens in Lake Onondaga NY.
OTHER ENDPOINTS
Other endpoints examined within this sensitivity analysis are summarized below:
Hypolimnetic Oxygen: this output is sensitive to those parameters that increase
chlorophyll a concentrations such as cryptomonad parameters and BOD loadings. See
Figure B-4.
Largemouth Bass Concentrations, Adult: this output is sensitive to primary producers'
effects on the food-web and therefore Cyclotella and cryptomonad maximum
photosynthesis rates. See Figure B-5. However, these are all indirect effects as
largemouth bass parameters themselves were not tested as part of this study.
Results were produced for all nutrient, organic matter, and biota concentrations in both
segments and are available upon request.
LAKE ONONDAGA, NY- DIAGENESIS MODEL
As a test of which parameters are most sensitive within an implementation of the AQUATOX
sediment diagenesis model, the diagenesis implementation of Lake Onondaga was chosen.
Summary:
A one-year simulation was performed and results were averaged over that year
Parameters tested include all sediment diagenesis parameters
Model was run with a 15% change in tested parameters
The three endpoints that were examined particularly closely were hypolimnion SOD,
hypolimnion oxygen, and hypolimnion Total Phosphate (TP).
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HYPOLIMNETIC SEDIMENT OXYGEN DEMAND
Sediment oxygen demand (SOD) results were most sensitive to the "exponential dependence of
decomposition to temperature" for G class 2 particulate organic carbon (Theta for G class 2).
Class G2 corresponds with sedimented refractory detritus. The reaction velocity for methane
oxidation also produces significant SOD changes (kappa CH4). Other sensitive parameters
relate to the speed at which organic matter decomposes, methane oxidizes or denitrification
occurs.
Sensitivity of HYP SOD (gO2/m2 d) to 15% change in tested parameters
276% - Diagenesis: Theta for G class 2 POC
161% - Dagenesis: Theta for methane oxidation
40.2% - Diagenesis: Theta for G class 1 POC -
32.9% - Diagenesis: H2 (m) -
32.1% - Dagenesis: Theta for denitrification -
30.1% - Diagenesis: Theta for nitrification
23.8% - Dagenesis: kpoc2 (1/d)
22.7% - Dagenesis: KappaCH4 (m/d)
18.6% - Dagenesis: KdNHS (L/kg)
17.7% - Dagenesis: ml (kg/L)
12.8% - Diagenesis: KappaNO3_1f (m/d)
5.59% - Diagenesis: Dd (m2/d)
3.71% - Diagenesis: KappaNO3_2 (m/d)
2.66% - Diagenesis: KappaNHSf (m/d)
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0.5 0.6 0.7 0.8 0.9
HYPSOD(gO2/m2d)
1.1
Figure 4. Sensitivity of Hypolimnetic SOD in Lake Onondaga NY.
HYPOLIMNION OXYGEN
Not surprisingly, the concentration of oxygen in the hypolimnion is directly related to the SOD
parameters tested above. Any parameter that increases SOD in the hypolimnion decreases
oxygen in that same layer. Calculated sensitivity statistics for oxygen concentration in water are
generally lower, however, as that concentration is a function of many factors only one of which
is the SOD flux.
-------
88.7% - Diagenesis: Theta for G class 2 POC -
40.1% - Dagenesis: Theta for methane oxidation
15.3% - Diagenesis: Theta for G class 1 POC
11.2%- Dagenesis: H2(m)
9.07% - Dagenesis: Theta for denitrification
8.26% - Diagenesis: Theta for nitrification
7.43% - Dagenesis: kpoc2 (1/d)
6.31% - Diagenesis: KdNHS (L/kg)
6.16% - Diagenesis: ml (kg/L)
5.89% - Diagenesis: KappaCH4 (m/d)
4.54% - Diagenesis: KappaNO3_1f (m/d)
1.41% - Dagenesis: KappaNO3_2 (m/d)
0.919% - Diagenesis: Theta for G class 1 PON
0.913% - Dagenesis: KdPO42 (L/kg)
(mg/L) to 15% change in tested parameters
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5.6 5.8 6 6.2 6.4 6.6 6.8 7 7.2
HYP Oxygen (mg/L)
Figure 5. Sensitivity of Hypolimnetic Oxygen in Lake Onondaga NY.
HYPOLIMNION TOTAL PHOSPHORUS
Phosphorus concentrations in the hypolimnion were most strongly related to the partitioning of
phosphate between dissolved and particulate forms in the anaerobic layer. The most sensitive
parameters were the partition coefficient for phosphate in layer 2 (KDPO42), and the solids
concentration in that layer (m2). The diffusion coefficient for pore water was also important
(Dd). Because the diffusive surface mass transfer is related to predicted sediment oxygen
demand, the rate at which organic carbon decomposes (theta for POC) also affects the rate at
which phosphorus diffuses into the water column.
10
-------
Sensitivity of HYP TP (mg/L) to 15% change in tested parameters
49.7% - Dagenesis: KdPO42 (L/kg)
45.8% - Dagenesis: m2 (kg/L)
44.4% - Diagenesis: Dd (m2/d)
25.4% - Diagenesis: H2 (m)
17.9% - Diagenesis: Theta for G class 2 POC
9.48% - Dagenesis: Theta for G class 1 POP -
7.9% - Diagenesis: w2 (m/d) -
6.8% - Dagenesis: Theta for methane oxidation
6.54% - Dagenesis: ml (kg/L)
4.6% - Dagenesis: Theta for denitrification
3.93% - Diagenesis: dKDP041f (unitless)
2.21% - Dagenesis: Theta for G class 2 POP
2.06% - Dagenesis: Theta for G class 1 POC
1.95% - Diagenesis: Theta for nitrification
kg/L)
POP
(m/d)
ation
kg/L)
;ation
less)
POP
PHP
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0.56 0.57 0.58 0.59 0.6 0.61 0.62 0.63 0.64
HYP TP (mg/L)
Figure 6. Sensitivity of Hypolimnetic TP in Lake Onondaga NY.
OTHER ENDPOINTS
Other endpoints examined within this sensitivity analysis are summarized below:
Ammonia and nitrate concentrations are most sensitive to nitrification parameters and
the rate of decomposition of POC and PON. (Figures B-6 and B-7)
Interestingly, the depth of the active layer (hi) did not appear in the top 14 most
sensitive parameters for any of the endpoints that we examined. Increasing the size of
the active layer can significantly reduce model run-times when the model is not run in
steady-state mode.
Increasing the exponential temperature dependence of pore water diffusion (theta for
pore water diffusion) by 15% caused the model to freeze. For this reason, this
parameter was not included in these results, but nutrient release from the sediment bed
can be assumed to be quite sensitive to small changes in this parameter.
Results were produced for all nutrient, organic matter, and biota concentrations as well
as diagenesis fluxes and nutrient and organic matter compartments within the sediment
bed. These results are too numerous for this report but are available upon request.
Cahaba River, Alabama
As a test of which parameters are most sensitive within a nutrient-enriched wadeable stream,
Cahaba River, Alabama was chosen as a case study. Summary:
A one-year simulation was performed on this flashy river; results are averaged over the
entire year
11
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Parameters tested include all periphyton and moss parameters, all fish parameters, and
all nutrient and organic matter loadings (see Appendix B for a complete list)
The model was run with a 15% change in parameters
The over 20-minute runtime and extensive list of parameters tested meant that nearly
450 hours of computer time were required for this analysis.
When periphyton and phytoplankton species were linked, parameters tested in one
species were simultaneously changed in the linked species. These parameter changes
are designated as "Linked" in the variable lists.
Endpoints that were examined particularly closely were periphytic chlorophyll a, moss biomass,
zoobenthos biomass, and fish biomass.
PERIPHYTIC CHLOROPHYLL A
Periphyton biomass is quite sensitive to sloughing during high flow events, especially when
biomass has built up to an unstable degree. The percentage of biomass that is lost in a
sloughing event affects the amount of periphyton left behind to rebuild from. Not surprisingly,
the two most sensitive parameters for this endpoint are "percent lost in slough event" for the two
most important periphyton groups. Other sensitive parameters for this category are dominated
by temperature effects. Sensitive parameters include, "optimal temperatures" for periphyton,
"temperature response slopes," and the multiplication factor for water temperature itself.
Sensitivity of Peri. Chlorophyll (mg/sq.m) to 15% change in tested parameters
76.1% - Fteri, Green w r Pet. Lost Slough Event (percent) * Linked *
72.3% - Peri Hi-Nut Di Fct. Lost Slough Event (percent) * Linked *
48.2% - Fteri Hi-Nut Di: Optimal Temperature (deg. C) * Linked *
47.4% - Peri, Green w r: Optimal Temperature (deg. C) * Linked *
43.7% - Temp: Multiply Loading by
41.1 % - Peri Hi-Nut Di: Temp Response Slope * Linked *
35.9% - Mussel: Temperature Response Slope
34.2% - Fteri, Green w r: Temp Response Slope * Linked *
32.9% - Fteri, Nitzschi: Temp Response Slope * Linked *
32.2% - Fteri, Green w r Resp. Rate, 20 deg C (g/g d) * Linked *
31.5% - Peri, Green w r: P Half-saturation (mg/L) * Linked *
31.5% - Fteri, Nitzschi Min. Sat. Light (Ly/d) * Linked *
31.2% - Fteri, Green w r: N Half-saturation (mg/L) * Linked *
30.9% - NH3 & NH4+: Multiply Loading by
36 38 40 42
Peri. Chlorophyll (mg/sq.m)
44
Figure 7. Sensitivity of Periphytic Chlorophyll a in Cahaba River AL.
12
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MOSS BIOMASS
Moss biomass within this simulation is represented by the "Fontinalis" state variable, so
Fontinalis parameters dominate. Fontinalis is sensitive to temperature effects so the water
temperature itself, the "temperature response slope," and the "maximum temperature" for this
state variable are all within the top five most sensitive variables. This "slow and steady" moss
compartment is also affected by its initial condition more than other state variables in this
simulation. Fontinalis is subject to shading by periphyton and is therefore inversely sensitive to
many of the same parameters that affect periphyton chlorophyll a.
Sensitivity of Moss Chla (mg/sq.m) to 15% change in tested parameters
108% - Temp: Multiply Loading by
91.7% - Fontinalis a: Initial Condition (g/m2 dry)
66.7% - Fontinalis a: Max Photosynthetic Rate (1/d)
63.9% - Fontinalis a: Temp Response Slope
56.3% - Fontinalis a: Maximum Temperature (deg. C)
46.2% - Peri Hi-Nut Di Pet. Lost Slough Event (percent) * Linked *
30.6% - Fontinalis a Resp. Rate, 20 deg C (g/g d)
29.8% - Peri Hi-Nut Di: Optimal Temperature (deg. C) * Linked *
28.8% - Fontinalis a: Optimal Temperature (deg. C)
25.1% - Peri Hi-Nut Di: Temp Response Slope * Linked *
22.3% - Fontinalis a: Exponential Mort. Coefficient: (max / d) -
17.2% - Peri Hi-Nut Di: Max Photosynthetic Rate (1/d) * Linked *
12.6% - Fontinalis a: Inorg. C Half-saturation (mg/L)
12.4% - Peri, Green w r: Optimal Temperature (deg. C) * Linked *
32 34 36 38 40
Moss Chla (mg/sq.m)
42
Figure 8. Sensitivity of Moss Chlorophyll a in Cahaba River AL.
ZOOBENTHOS BIOMASS
There are several zoobenthos compartments within this simulation. For this report, we focus on
chironomid results as an example of testing and modifying sediment effects. Other zoobenthos
sensitivity results for this site may be found in Appendix B (Figures B-8 to B-11). Chironomid
results were most sensitive to sorting capability (degree to which there is selective feeding,
relevant to all invertebrates). The default parameter for this variable is 1.0 meaning that
selective feeding is perfect and sediment dilution has no effect on feeding for this organism.
Increasing this parameter by 15% results in a parameter value that is outside the natural zero to
one domain for this parameter, so this result should be ignored. Decreasing the parameter to
0.85, however, results in a significant loss of predicted biomass (to an average value that is less
than one third of the baseline biomass). Based in part on this sensitivity, the selective sorting
construct was modified so that it was desensitized, meaning this simulation result is no longer
relevant for EPA Release 3.0 or 3.1. Chironomids are secondarily most sensitive to shiner
13
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parameters. Shiners are predators for chironomids so those parameters that increase the
viability of shiners decrease the predicted biomass for chironomids. This relationship illustrates
the importance of food-chain interactions when calibrating the AQUATOX model.
Sensitivity of Chironomid (g/m2 dry) to 15% change in tested parameters
621% - Chironomid Sorting, selective feeding (unitless)
240% - Shiner: Optimal Temperature (deg. C)
224% - Shiner: (Allometric) CA
221% - Shiner: Maximum Temperature (deg. C)
139% - Shiner: Temperature Response Slope
111% - Temp: Multiply Loading by
100% - Cladophora: Optimal Temperature (deg. C) * Linked *
98.6% - Shiner: (Allometric) RA
98.5% - Shiner: (Allometric) ACT
93.8% - Cladophora: Temp Response Slope * Linked *
83.2% - Chironomid: Optimal Temperature (deg. C)
79.7% - Smallmouth Ba2: Optimal Temperature (deg. C)
74.9% - Cladophora Resp. Rate, 20 deg C (g/g d) * Linked *
71.3% - Susp&Diss Detr: Pet. Refr. Loads, Const.
0.05 0.1 0.15 0.2
Chironomid (g/m2 dry)
Figure 9. Sensitivity of Chironomid in Cahaba River AL.
FISH BIOMASS
There are five fish species modeled within this simulation. This section will focus on the adult
gamefish in this simulation. This state variable can be considered an "integrator of the food
chain" given its position at the top. Graphs for the other four fish species in this simulation may
be found in Appendix B (Figures B-12 to B-15). Adult smallmouth bass are sensitive to bass
parameters, especially "optimal temperature," allometric consumption parameter "CA," "Mortality
coefficient," and its own "temperature response slope." Parameters further down the food-chain
create high sensitivity as well. The Chironomid "selective feeding" and shiner "maximum
temperature" parameters both have significant effects on the availability of food for the bass
state variable. (Note that, based on the trophic interaction matrix for this simulation, both
chironomids and shiners are directly preyed upon by smallmouth bass.)
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Sensitivity of Adult S.M. Bass (g/m2 dry) to 15% change in tested parameters
369% - Smallmouth Ba2: Optimal Temperature (deg. C)
315% - Chironomid Sorting, selective feeding (unitless)
245% - Smallmouth Ba2: (Allometric) CA
180% - Temp: Multiply Loading by
138% - Smallmouth Ba2: Mortality Coeff (1/d)
95.2% - Shiner: Maximum Temperature (deg. C)
91.2% - Smallmouth Ba2: Temperature Response Slope
80.1% - Susp&Diss Detr: Fct. Refr. Loads, Const.
76.7% - Cladophora: Optimal Temperature (deg. C) * Linked *
76.5% - Smallmouth Ba2: Maximum Temperature (deg. C)
74.2% - Smallmouth Ba2: (Allometric) RA
74.2% - Smallmouth Ba2: (Allometric) ACT
73.4% - Smallmouth Ba2: Initial Condition (g/m2 dry)
65.2% - CO2: Multiply Loading by
0.06 0.08 0.1 0.12 0.14
Smallmouth Ba2 (g/m2 dry)
0.16
Figure 10. Sensitivity of Adult Smallmouth Bass in Cahaba River AL.
OTHER ENDPOINTS
Results were produced for all nutrient, organic matter, and biota concentrations within this
simulation. Graphs of these results are too numerous for this report but are available upon
request.
DULUTH POND, MN
As a test of toxicant fate and effects in mesocosm, chlorpyrifos in an experimental enclosure in
Duluth Pond, MN was chosen as a case study. Summary:
Three-month simulation with an initial chlorpyrifos concentration of 6.3 ug/L. Results are
averaged over the three months.
Parameters tested included zoobenthos parameters, fish parameters, fate parameters,
animal LC50s, and the toxicant initial condition (see Appendix C for a complete list)
The model was run with both a 15% and 33% change in parameters
The endpoints that were examined particularly closely were zoobenthos biomass, fish biomass,
and the chlorpyrifos concentration in water.
CHLORPYRIFOS IN WATER
Chlorpyrifos concentrations in water are by far most sensitive to the Log Kow parameter which
affects the partitioning between organic matter and water for this chemical. As this is a
15
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logarithmic parameter, the extent of this relationship is not surprising, and this high sensitivity
will turn up throughout the sensitivity analysis. The initial condition in water is the next most
sensitive parameter for this endpoint followed by the "Henry's law constant" which affects
volatilization and the rate of aerobic microbial degradation. Although the sensitivity is only 20%,
the "elimination rate constant" of chemicals within diatoms is an interesting addition as it shows
how biotic processes can affect the concentration of a chemical within a water body.
Sensitivity of T1 H2O (ug/L) to 15% change in tested parameters
234% - T1: Octanol-Water Partition Coeff (Log Kow)
98.4% - T1: Initial Condition (ug/L)
34.5% - T1: Henry's Law Const, (atm. mA3/mol)
20.2% - T1: Aerobic Microbial Degrdn. (L/d)
19.8% - T1: Diatoms Bim. Rate Constant (1/d)
8.96% - T1: Molecular Weight
6.91% - T1: Uncatalyzed Hydrolysis (L/d)
5.97% - T1: Greens Bim. Rate Constant (1/d)
5.64% - Daphnia: Maximum Temperature (deg. C)
4.67% - T1: Weibull Shape Parameter
4.43% - Daphnia: Temperature Response Slope
4.23% - T1: Photolysis Rate (L/d)
3.6% - T1: Activation Energy for Temp (cal/mol)
3.56% - T1: Chironomid EC50 Dislodge (ug/L)
^^
1
0.6 0.7 0.8 0.1
T1 H2O (ug/L
^^_
"
L
I
I
) 1 1.1
)
Figure 11. Sensitivity of Chlorpyrifos in Water in Duluth Pond MN.
Examining the 33% changes in parameters produces a remarkably similar list of sensitive
variables with very similar sensitivity statistics (Figure B-16 in Appendix B). This means, for this
simulation, the parameters that affect toxicant concentrations in water exhibit a linear response
in the 15% to 33% range.
ZOOBENTHOS BIOMASS
Zoobenthos in this simulation are represented by the chironomid state variable. This endpoint
is, by far, most sensitive to the change in the Log Kow variable. Interestingly, a decrease in Log
Kow which increases tissue concentrations (Figure B-17) results in far greater biomass. This is
apparently due to a reduction in grazing pressure from shiners, a predator that loses biomass
when Log Kow goes down. Moving beyond Log Kow, because predicted biomass is so low,
chironomid biomass is somewhat sensitive to the "seed" loading that is added to the system
each day. Chironomid parameters including optimal temperature, LC50 and EC50s are also
somewhat sensitive.
Examining results given a 33% change indicates that these parameter effects are more or less
linear with the exception of Log Kow which is significantly more sensitive to a negative change.
(A 33% reduction in Log Kow results in a ten-fold increase in chironomid biomass.)
16
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Sensitivity of Chironomid (g/m2 dry) to 15% change in tested parameters
546% - T1: Octanol-Water Partition Coeff (Log Kow)
68.1% - Chironomid: Multiply Loading by
68.1% - Chironomid: Const Load (g/m2 dry)
67.4% - T1: Sed/Detr-Water Partition Coeff (mg/L)
32.3% - Chironomid: Initial Condition (g/m2 dry)
24% - Chironomid: Optimal Temperature (deg. C)
21.6% - T1: Chironomid LC50 (ug/L)
21.6% - T1: Chironomid EC50 Dislodge (ug/L)
21.6% - T1: Chironomid EC50 Growth (ug/L)
21.4% - Chironomid: Specific Dynamic Action
17.5% - Chironomid: Initial Fraction Lipid (wet wt.)
14.7% - Chironomid: Max Consumption (g / g day)
12.6% - T1: Initial Condition (ug/L)
10.5% - Daphnia: Optimal Temperature (deg. C)
0.015
0.02 0.025 0.03
Chironomid (g/m2 dry)
Figure 12. Sensitivity of Chironomids in Duluth Pond MN.
FISH BIOMASS
Food-chain effects again dominate sunfish biomass results. While the concentration of
chlorpyrifos increases within sunfish when Log Kow decreases, the abundance of the
Chironomid food source increases overall sunfish biomass. Increasing the Kow by 15% results
in lower predicted body burdens and lower toxic effects, also increasing biomass.
Non-toxicant parameters that affect predicted sunfish biomass include optimal temperature, and
allometric consumption and respiration parameters.
The chemical partition coefficients (Log Kow and Sed/Detr partition coefficients) show non-linear
responses to a 33% test, but the biotic parameters are quite linear (i.e. calculated sensitivity
percentages are nearly the same, Figure B-18).
17
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Sensitivity of Green Sunfish2 (g/m2 dry) to 15% change in tested parameters
888% - T1: Octanol-Water Partition Coeff (Log Kow)
209% - T1: Sed/Detr-Water Partition Coeff (mg/L)
74.2% - Green Sunfish2: Optimal Temperature (deg. C)
67.7% - Green Sunfish2: Initial Condition (g/m2 dry)
61.8% - T1: Initial Condition (ug/L)
59.7% - Green Sunfish,: (Allometric) CA
55.9% - Green Sunfish2: (Allometric) RA
55.9% - Green Sunfish2: (Allometric) ACT
55.8% - T1: Bluegill LC50 (ug/L)
53.2% - Green Sunfish2 Wet to Dry (ratio)
53.2% - Green Sunfish2: Initial Fraction Lipid (wet wt.)
50.4% - Green Sunfish2: (Allometric) RB
15.6% - Green Sunfish2: Const Load (g/m2 dry)
15.6% - Green Sunfish2: Multiply Loading by
0.001 0.001 0.002 0.002 0.003 0.003 0.004 0.004 0.005
Green Sunfish2 (g/m2 dry)
Figure 13. Sensitivity of Green Sunfish in Duluth Pond MN.
Shiner biomass is sensitive to Log Kow and initial condition, mortality coefficient, temperature
parameters, and allometric respiration parameters.
Sensitivity of Shiner (g/m2 dry) to 15% change in tested parameters
101% - Shiner: Initial Condition (g/m2 dry)
81.9% - T1: Octanol-Water Partition Coeff (Log Kow)
63.3% - Shiner: Mortality Coeff (1/d)
33.3% - Shiner: Optimal Temperature (deg. C)
27.3% - T1: Sed/Detr-Water Partition Coeff (mg/L)
22.1% - Shiner: Maximum Temperature (deg. C)
16.3% - Shiner: (Allometric) RA
16.3% - Shiner: (Allometric) ACT
10% - Green Sunfish,: Initial Condition (g/m2dry)
8.55% - Shiner: Temperature Response Slope
8.36% - T1: Weibull Shape Parameter
7.55% - Shiner: (Allometric) RB
7.09% - Chironomid: Respiration Rate: (1 /d)
6.83% - T1: Greens Elim. Rate Constant (1/d)
0.05 0.055 0.06
Shiner (g/m2 dry)
0.065
Figure 14. Sensitivity of Shiner in Duluth Pond MN.
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OTHER ENDPOINTS
As is the case for all of these analyses, results for all nutrients, plants, and animals are available
upon request as well as toxicant concentrations in tissues. In this simulation, for several of the
algal state variables, the tornado diagrams reflect a unidirectional response to several
parameters (see Figure B-19 for example). In some cases, when many parameters push a
system into the same alternative state, this can indicate that the ecosystem has two possible
"equilibrium" states. In other cases, a unidirectional response may suggest that the baseline
parameter is an optimal value for the parameters in question.
OHIO STREAM WITH CHLORPYRIFOS
To examine model sensitivities to toxicant loadings within an AQUATOX river segment, and
factors affecting periphyton fate in particular, the simulation of a generic 2nd- and 3rd-order
stream (based in part on Honey Creek, Ohio) was utilized. Summary:
One-year simulation with several 0.4 ug/L pulses of chlorpyrifos representing the effects
of pesticide runoff during summer storms.
Parameters tested included periphyton parameters, animal LC50s and EC50s, and
chlorpyrifos parameters (see Appendix C for a complete list)
Model was run with 10% changes in parameters to examine close-range sensitivities
Endpoints most closely considered for this system were periphytic chlorophyll a and select
biomass results.
PERIPHYTIC CHLOROPHYLLS
Periphyton in this system are not sensitive to the toxicant concentration being simulated (an
insecticide). Toxicant variables do not show up in the top 30 most-sensitive variables for this
endpoint.
Similar to the Cahaba River implementation, periphyton are most sensitive to the "percent lost in
slough event" parameters. Other sensitive parameters for this category are dominated by
temperature effects, including "temperature response slopes" for periphyton, and "optimal
temperatures."
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Sensitivity of Peri. Chlorophyll (mg/sq.m)to 15% change in tested parameters
130% - Peri High-Nut Pet. Lost Slough Event (percent)
66.4% - Peri Low-Nut D Pet. Lost Slough Event (percent)
63.2% - Peri High-Nut: Temp Response Slope
53.7% - Peri High-Nut: Light Extinction (1/m)
50.7% - Peri High-Nut: Pet in Riff le (if stream %)
50.6% - Peri High-Nut: Maximum Temperature (deg. C)
46.7% - Peri High-Nut: FCrit, periphyton (new tons)
45.8% - Peri Low-Nut D: Max Photosynthetic Rate (1/d)
44.6% - T1: Sed/Detr-Water Partition Coeff (mg/L)
43.6% - Peri Low-Nut D: Const Load (g/m2 dry)
43.6% - Peri Low-Nut D: Multiply Loading by
43% - Peri, Green: Photorespiration Coefficient (1/d)
42.2% - Peri High-Nut: Mortality Coefficient: (frac / d)
42.2% - Peri, Green: Light Extinction (1/m)
13
14
15
16 17 18 19
Peri. Chlorophyll (mg/sq.m)
20
21
22
Figure 15. Sensitivity of Periphytic Chlorophyll a in Ohio Stream.
Interestingly, when the range of tested parameters extends to 33%, sensitivities are reduced.
This indicates that the range of periphyton biomass results is limited in extent but can be highly
variable within that range given even small changes in model parameters.
Sensitivity of Peri. Chlorophyll (mg/sq.m) to 33% change in tested parameters
47.7% - Peri High-Nut Pet. Lost Slough Event (percent)
41.8% - Peri High-Nut: Light Extinction (1/m)
34.8% - Peri Low-Nut D Fbt. Lost Slough Event (percent)
33.5% - Peri High-Nut: Max Photosynthetic Rate (1/d)
33.4% - Peri Low-Nut D Resp. Rate, 20 deg C (g/g d)
25% - Peri Low-Nut D: Max Photosynthetic Rate (1/d)
22.7% - Peri High-Nut: Pet in Riffle (if stream %)
22.6% - Peri High-Nut: FCrit, periphyton (newtons)
22.5% - Peri High-Nut: Maximum Temperature (deg. C)
22.3% - Peri High-Nut: ROrganics (ratio)
21.7% - Peri High-Nut: Initial Condition (g/m2 dry)
20.3% - Peri Low-Nut D: Maximum Temperature (deg. C)
20.2% - Peri Low-Nut D: FCrit, periphyton (new tons)-
19.5% - Peri, Green: N Half-saturation (mg/L)
^^m
^^M
^^
'
^^^^m
16
17
18 19 20
Peri. Chlorophyll (mg/sq.m)
21
22
Figure 16. Sensitivity of Periphytic Chlorophyll a in Ohio Stream.
20
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SELECT BIOMASS RESULTS
Of all the parameters tested, smallmouth bass biomass is by far most sensitive to the sediment-
to-detritus partition coefficient for the toxicant in water. This variable still only has a 48.5%
sensitivity meaning a 10% change in the parameter results in a roughly 5% change in biomass.
As the LC50 for this organism (12.4 ug/L) is well above the dose of the toxicant used in this
study (0.4 ug/L), this result is certainly due to food-web effects. Caddisfly populations are
sensitive to toxic effects of chlorpyrifos (Figure B-20) and this echoes up the food-web.
Sensitivity of Smallmouth Bass, Lg (g/m2 dry) to 15% change in tested parameters
48.5% - T1: Sed/Detr-Water Partition Coeff (mg/L)
29.7% - T1: Octanol-Water Partition Coeff (Log Kow)
15.2% - Peri High-Nut: Pet in Riffle (if stream %)
13% - Peri High-Nut: FCrit, periphyton (new tons)
12.9% - Peri High-Nut Pet. Lost Slough Event (percent)
12% - Peri High-Nut: Maximum Temperature (deg. C)
11.3% - Peri High-Nut : Optimal Temperature (deg. C)
9.85% - T1: Bass EC50 Growth (ug/L)
9.85% - T1: Bass EC50 Dislodge (ug/L) -
9.78% - T1: Multiply Loading by
9.47% - Peri High-Nut: Temp Response Slope
9.05% - Peri, Blue-Gre: Mortality Coefficient: (frac / d)
9.02% - Peri Low-Nut D: Multiply Loading by
9.02% - Peri Low-Nut D: Const Load (g/m2 dry)
^H
^^^^^^
^^m
^m
0.016 0.017 0.017 0.018 0.018 0.019 0.02
Smallmouth Bass, Lg (g/m2 dry)
0.02
Figure 17. Sensitivity of Smallmouth Bass in Ohio Stream.
Alternatively, white suckers have neither direct nor indirect effects of toxicant at this dosage
and, in fact, have very little sensitivity to any of the parameters tested. The maximum sensitivity
is below 5% indicating that a 10% change an all of these variables resulted in less than one half
of a percent effect on average sucker biomass. White suckers are parameterized as omnivores,
and that evidently buffers them against food-web perturbations.
21
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4.45% - Peri High-Nut Pet. Lost Slough Event (percent)
2.25% - Peri High-Nut: Temp Response Slope
1.83% - Peri High-Nut: FCrit, periphyton (newtons)
1.54% - Peri High-Nut: Optimal Temperature (deg. C)
1.52% - Peri High-Nut: Max Photosynthetic Rate (1/d)
1.5% - Peri High-Nut Resp. Rate, 20 deg C (g/g d)
1.28% - Peri High-Nut : Initial Condition (g/m2 dry)
0.872% - Peri High-Nut: P Half-saturation (mg/L)
0.844% - Peri High-Nut: Saturating Light (Ly/d)
0.838% - Peri, Blue-Gre: Max Photosynthetic Rate (1/d)
0.791% - Peri, Green: Mortality Coefficient: (frac / d)
0.761% - Peri, Green: Const Load (g/m2 dry)
0.761% - Peri, Green: Multiply Loading by
0.759% - Peri, Green: Min Adaptation Temperature (deg. C)
0.107
to 15% change in tested parameters
l
^^^^
^m
0.108 0.108 0.108 0.108 0.108 0.109 0.109
White Sucker (g/m2 dry)
Figure 18. Sensitivity of White Sucker in Ohio Stream.
For all of these case studies a complete set of results based on all parameter tests performed
are available upon request.
GALVESTON BAY, TX
To examine model sensitivities within the AQUATOX estuary implementation and factors
affecting PCB bioaccumulation, the simulation of Galveston Bay Texas was utilized. Summary:
One-year simulation with PCB 1254 contamination in sediments.
Parameters tested included zoobenthos parameters, fish parameters, fate parameters,
and PCB initial conditions in sediments (see Appendix C for a complete list)
Model was run with 33% changes in parameters. The long run-time (over 300 CPU
hours for all parameters) precluded an additional 15% run for this report.
The endpoints that are reported on here are PCB burdens in animals; biomass results are also
available (e.g. Figures B-22 to B-24).
PCB BURDENS IN ANIMALS
PCB concentrations in sea bass (Cynoscion), at the top of the food web, are quite sensitive to
temperature parameters for Cynoscion but also to these parameters for shrimp and mullet. It is
possible that these temperature parameters are outside of their reasonable range given a 33%
change in value. Interestingly, parameters for organisms further down the food-chain produce
considerable sensitivity for PCB concentrations in Cynoscion. This illustrates the importance of
bioaccumulative multipliers for PCB burdens at the top of the food web.
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Sensitivity of Cynoscion (sea bass) ppb (ug/kg wet) to 33% change in tested parameters
167% - Cynoscion (sea: Optimal Temperature (deg. C)
112% - Cynoscion (sea Wet to Dry (ratio)
111 % - Mugil (mullet): (Allometric) CB
108% - Fenaeus (Shrim: Maximum Temperature (deg. C)
108% - Cynoscion (sea: Maximum Temperature (deg. C) i
91.3% - Mugil (mullet): Maximum Temperature (deg. C)
90% - Penaeus (Shrim Max. Salinity Tolerance, Ingestion (0/00)
85.8% - Fenaeus (Shrim Min. Salinity Tolerance, Ingestion (0/00)
77.3% - Mugil (mullet): (Allometric) CA
69.3% - Ostrea (oyster Sorting, selective feeding (unitless)
61.3% - TIRdetr sed: Initial Condition (ug/kg dry)
57.2% - T1: Aerobic Mcrobial Degrdn. (L/d)
49.8% - Cynoscion (sea: (Allometric) CB- -
46.3% - Cynoscion (sea: (Allometric) RA- -
500 1,000
TICynoscion (sea(ppb) (ug/kg wet)
Figure 19. Sensitivity of Sea Bass in Galveston Bay TX.
Results for tissue concentrations of PCBs in catfish are also sensitive to temperature
parameters and allometric consumption and respiration parameters. Interestingly, increasing
the rate of aerobic microbial degradation of sediments decreases burdens in catfish as there is
less labile detritus available for the organism to consume. Unlike sea bass, catfish are almost
exclusively sensitive to their own parameters. Effects from prey parameters do not make the list
of most-sensitive parameters.
23
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Sensitivity of TIArius (catfish(ppb) (ug/kg wet) to 33% change in tested parameters
301% - Arius (catfish: Optimal Temperature (deg. C)
139% - Arius (catfish: (Allometric)
125% - Arius (catfish: Temperature Response Slope
112% - Arius (catfish Wet to Dry (ratio
91.4% - Arius (catfish: (Allometric) CB
71.5% - T1: Aerobic Mcrobial Degrdn. (L/d)
51.2% - TIRdetr sed: Initial Condition (ug/kg dry)
47.8% - Arius (catfish: (Allometric)
47.8% - Arius (catfish: (Allometric) ACT
47.1% - Arius (catfish: Maximum Temperature (deg. C)
45.2% - Arius (catfish: (Allometric)
39.3% - Rdetr sed: Initial Condition (g/m2 dry)
39% - T1: Octanol-Water Partition Coeff (Log Kow)
34.1% - Arius (catfish: Mean Weight (g)
40
50 60 70 80 90
TIArius (catfish(ppb) (ug/kg wet)
100
Figure 20. Sensitivity of PCBs in Catfish in Galveston Bay TX.
Shrimp results are most sensitive to the assumed wet-to-dry ratio for shrimp. This wet-to-dry
ratio, which appears in many of the PCB sensitive-parameter lists, affects the calculated wet-
weight PPB when calculating this quantity from the dry-weight units native to the model.
Like catfish, the rate of microbial degradation is an important parameter for shrimp as is the
toxicant initial condition in sediments. Finally, shrimp PCB burdens are sensitive to the
organism's own consumption rates as governed by the maximum consumption parameter, the
salinity tolerance for ingestion parameters, and the selective feeding parameter.
24
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Sensitivity of TIPenaeus (Shrim(ppb) (ug/kg wet) to 33% change in tested parameters
112% - Penaeus (Shrim Wet to Dry (ratio)
66.2% - T1: Aerobic Mcrobial Degrdn. (L/d)
58.5% - T1R detr sed: Initial Condition (ug/kg dry)
50.9% - Fenaeus (Shrim: Maximum Temperature (deg. C)
49.8% - Fenaeus (Shrim Max. Salinity Tolerance, Ingestion (0/00)
48.6% - Fenaeus (Shrim: Max Consumption (g / g day)
45.3% - R detr sed: Initial Condition (g/m2 dry)
43.4% - T1: Octanol-Water Partition Coeff (Log Kow)
31.8% - Ostrea (oyster Sorting, selective feeding (unitless)
31.5% - Penaeus (Shrim Min. Salinity Tolerance, Ingestion (0/00)
24.7% - Fenaeus (Shrim: Optimal Temperature (deg. C)
24.5% - Fenaeus (Shrim: Temperature Response Slope
21.8% - T1: Initial Condition (ug/L) -
18.3% - T1: Sed/Detr-Water Partition Coeff (mg/L)
50 60 70 80 90 100
TIPenaeus (Shrim(ppb) (ug/kg wet)
Figure 21. Sensitivity of PCBs in Shrimp in Galveston Bay TX.
OTHER ENDPOINTS
Biomass results for this estuary simulation were strongly influenced by changes in temperature
parameters (optimal and maximum temperature), salinity tolerance ranges, and also allometric
parameters for consumption and respiration. The complexity of the food-web in this system
caused the biomass of most species to be most sensitive to their own parameters as opposed
to the parameters of a predator or prey state variable. (Multiple food sources mean a predator
is less dependent on a single prey item; Figures B-22 to B-24). Results for all nutrients,
biomasses, and PCB burdens in both vertical segments are available upon request.
STATISTICAL SENSITIVITY ANALYSIS
Nominal-range sensitivity analysis is suitable as a screening method to identify the parameters
and drivers most important to the simulation results. However, by taking an arbitrary, uniform
percentage without regard to units and underlying distributions, and looking only at results
averaged over the entire simulation, it can distort the true sensitivity of a particular parameter.
Therefore, as a second step, we applied statistical sensitivity analysis based on distributions
derived from literature parameter values. For this analysis, we chose parameters that were
highly sensitive during the nominal-range sensitivity analysis. In some cases, we chose
parameters where adequate data were available to create a distribution that represents their
range (for example, the maximum photosynthesis rates for algae). In other cases, we used this
analysis to help understand sensitivity to a parameter that is not easily measured (for example,
the percentage of periphyton lost in a "sloughing event"). Analyses were performed using the
25
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uncertainty analysis option in AQUATOX with one parameter at a time. With sufficient data
approaching normality, the normal distribution can be used. In the examples that follow the
Analyse-it add-on to the Excel spreadsheet was used to visually evaluate normality by
comparison of a normal plot with the frequency diagram, and by comparison of a plot of the
observations of the sample against the expected normal quantile. As stated by the Analyse-it
Help file: "The expected quantile is the number of SDs [standard deviations] from the mean
where such an observation would be expected to lie in normal distribution with the sample mean
and standard deviation. When the sample is normally distributed the points will form a straight-
line. Deviation from the line indicates non-normality."
Where data are insufficient or normality is not indicated, uniform and triangular distributions
were used. In a uniform distribution every value across the specified range has an equal
likelihood of co-occurrence; it is used when only the range is known. A triangular distribution is
used when a central tendency also is known; it is defined by three points: a most likely value,
and by minimum and maximum values, which have zero probability of occurring.
In addition to plotting the minimum, maximum, and mean +- one standard deviation for a given
endpoint, the time-varying coefficient of variation (CV) can be calculated and plotted in an Excel
file using the ratio of the standard deviations to the means for a particular endpoint. The CV is
dimensionless so it is useful for comparing the responses of dissimilar endpoints.
ONONDAGA LAKE, NY
BLUE-GREEN MAXIMUM PHOTOSYNTHETIC RATE
We obtained PMax parameter values from Collins and Wlosinski (1983). Several values were
considered to be outliers but were kept in the distribution. The reported data in Collins and
Wlosinski exhibit a normal distribution (Figure 22, Figure 23), which was well represented by the
distribution used in the analysis (Figure 24). Percent blue-greens is very sensitive to the PMax
(Figure 25, Figure 26), and chlorophyll a is less sensitive (Figure 27); however, the latter was
chosen because there are chlorophyll data from the lake to provide a reality check.
Histogram
u-
4>
Figure 22. Histogram of observed Blue-Green PMaxvalues from Collins and Wlosinski (1983).
26
-------
3 -i
2 -
y.
4)
as
-1 H
-2 -
-3
Normality Plot (Q-Q)
0246
Pmax
8 10 12
-Normal Fit
(Skewness=0.93,
Figure 23. Normality of observed blue-green PMax values from Collins and Wlosinski (1983).
0.035 F
0 2 4 6 8 10
Figure 24. Distribution of blue-green PMax values used in analysis.
27
-------
Table 2. Statistics for observed blue-green PMax values.
n
Mean
95% Cl
SE
Variance
SD
95% Cl
CV
Skewness
Kurtosis
Shapiro-Wilk W
P
26
3.916
2.661
0.6094
9.655
3.107
2.437
79.4%
0.93
0.19
0.91
0.021
to 5. 171
to 4.289
100.0
80.0
60.0
40.0
20.0
Percent Blue-Greens (
4/29/2009 2:33:24 PM
Mean
Minimum
Maximum
Mean -StDev
Mean + StDev
Deterministic
1/12/1989 5/12/1989 9/9/1989 1/7/1990 5/7/1990 9/4/1990 1/2/1991
Figure 25. Sensitivity of percent blue-greens to blue-green PMax in Onondaga Lake NY.
28
-------
400%
0%
12/23/1988
7/11/1989
1/27/1990
8/15/1990
3/3/1991
Figure 26. Coefficient of variation for percent blue-greens based on sensitivity analysis of blue-
green PMax in Onondaga Lake NY.
Phyto. Chlorophyll (u
4/29/2009 2:34:51 PM
Mean
Minimum
Maximum
Mean -StDev
Mean + StDev
Deterministic
o.o
1/12/1989
5/12/1989
9/9/1989
1/7/1990
5/7/1990
9/4/1990
1/2/1991
Figure 27. Sensitivity of chlorophyll a to blue-green PMax in Onondaga Lake NY.
BLUE-GREEN TOPT
The same dataset used for PMax was used for TOpt, assuming that the PMax values were
measured at the optimum temperatures. The distribution did not exhibit normality (Figure 28).
29
-------
Based on visual inspection, the closest distribution is a uniform distribution (Figure 29), which in
this case is defined by the 25th and 75th percentiles, similar to the box plot based on observed
values (Figure 30, Table 3). As with Pmax, percent blue-greens is very sensitive to TOpt (Figure
31), and chlorophyll a is less so (Figure 32).
Histogram
-Normal Fit
(Mean=32.52,
20
25
30 35
Topt
40
45
Figure 28. Histogram of observed blue-green TOpt values
28
30
32
34
36
38
Figure 29. Distribution of blue-green TOpt values used in analysis.
30
-------
95% Cl Notched Outlier
Boxplol
Median (34 25)
95% Cl Mean Diamond
Mean (32 52)
Figure 30. Box and whisker plot of observed blue-green TOpt values.
Table 3. Statistics for observed blue-green TOpt values.
n
Mean
95% Cl
SE
Variance
SD
95% Cl
CV
Skewness
Kurtosis
Shapiro-Wilk W
P
26
32.52
29.74
1.351
47.43
6.89
5.40
21.2%
-0.45
-1.24
0.88
0.006
Median
to 35.30 97.1%CI
Range
IQR
to 9.51 Percentile
Oth
25th
50th
75th
100th
34.25
26.50
20.0
14.08
20.00
25.00
34.25
39.08
40.00
to 38.00
(minimum)
(1st
quartile)
(median)
(3rd
quartile)
(maximum)
31
-------
Percent Blue-Greens (
4/29/2009 3:55:34 PM
100.0
80.0
60.0
Mean
Minimum
Maximum
Mean -StDev
Mean + StDev
Deterministic
40.0
20.0
1/12/1989 5/12/1989 9/9/1989 1/7/1990 5/7/1990 9/4/1990
1/2/1991
Figure 31. Sensitivity of percent blue-greens to blue-green TOpt'm Onondaga Lake NY.
Phyto. Chlorophyll (u
4/29/2009 3:59:06 PM
140.0
120.0
100.0
Mean
Minimum
Maximum
Mean -StDev
Mean + StDev
Deterministic
20.0
0.0
1/12/1989 5/12/1989
9/9/1989
1/7/1990
5/7/1990
9/4/1990
1/2/1991
Figure 32. Sensitivity of chlorophyll a to blue-green TOpt in Onondaga Lake NY.
CYCLOTELLA PMAX
Again the maximum photosynthetic values were taken from Collins and Wlosinski (1983).
Cyclotella is a surrogate for a group of diatoms adapted to high-nutrient conditions with
corresponding high growth rates. However, the PMax used in the nominal range sensitivity
analysis (Figure 1) (3.4/d) is at the high end of the range of observed values. Therefore, the
32
-------
distribution of PMax values of all diatoms reported by Collins and Wlosinski (1983) was used for
the uncertainty analysis (Figure 34), with diatom PMax =1.6 and SD = 0.686 (Figure 33, Figure
34). The observed data exhibit normality (Figure 35, Table 4). Because of competition, percent
blue-greens is sensitive to diatom PMax, as is chlorophyll a, especially in the fall (Figure 36,
Figure 37).
Frequency
D ro 4^ o> co o ro
^
0 0
/
5 1
^^^^^^^^^
1
s
Histogram
(Mean=1.599, ...
\
s
5 2 2.5 3 3.5
Pmax
Figure 33. Histogram of observed diatom PMax values.
0.5 1 1.5 2 2.5 3
Figure 34. Distribution of diatom PMaxvalues used in analysis.
33
-------
3 i
2 -
Normality Plot (Q-Q)
£
I
(8
m
o
-1 -
-3
o.e
1.5 2
Pmax
2.8
3.5
Figure 35. Normality of observed diatom PMax values.
Table 4. Statistics for observed diatom PMax values.
n
Mean
95% Cl
SE
Variance
SD
95% Cl
CV
Skewness
Kurtosis
Shapiro-Wilk W
P
34
1.599
1.360
0.1177
0.471
0.686
0.554
42.9%
0.65
0.62
0.96
0.335
to 1.839
to 0.904
34
-------
Percent Blue-Greens (
4/29/2009 4:53:39 PM
90.0
Mean
Mean -StDev
Mean + StDev
Deterministic
o.o
1/12/1989
5/12/1989
9/9/1989
1/7/1990
5/7/1990
9/4/1990
1/2/1991
Figure 36. Sensitivity of percent blue-greens to diatom PMax'm Lake Onondaga NY.
Phyto. Chlorophyll (u
4/29/2009 4:58:03 PM
90.0
80.0
70.0
Mean
Mean -StDev
Mean + StDev
Deterministic
1/12/1989
5/12/1989
9/9/1989
1/7/1990
5/7/1990
9/4/1990
1/2/1991
Figure 37. Sensitivity of chlorophyll a to diatom PMaxin Lake Onondaga NY.
The mean results seemed to be a better fit to the chlorophyll a data from the lake than the
deterministic, so the model was run with PMax =1.6 (the mean of observed values) instead of
the prior value of 3.4, and the results (perturbed) seem better than those with the original value
(control), especially in the second year when it simulates a clearing event with low observed
chlorophyll a (Figure 38, Figure 39). Because this is no longer Cyclotella, but rather a
35
-------
generalized diatom, it was renamed "Phyto, Diatom" and saved to the Library. This will now be
used as the calibrated study for Lake Onondaga.
ONONDAGA LAKE, NY (CONTROL) Run on 04-22-09 9:59 AM
(Epilimnion Segment)
A Epilimnion Chla (ug/L)
Phyto. Chlorophyll (ug/L)
1/12/1989 5/12/1989 9/9/1989 1/7/1990 5/7/1990 9/4/1990 1/2/1991
Figure 38. Original calibration of chlorophyll a with diatom PMax= 3.4 in Onondaga Lake NY.
ONONDAGA LAKE, NY (PERTURBED) Run on 04-29-09 5:08 PM
(Epilimnion Segment)
96
A Epilimnion Chla (ug/L)
Phyto. Chlorophyll (ug/L)
1/12/1989 5/12/1989 9/9/1989 1/7/1990 5/7/1990 9/4/1990 1/2/1991
Figure 39. Chlorophyll a result with diatom PMax= 1.6 in Onondaga Lake NY.
36
-------
ONONDAGA LAKE, NY, DIAGENESIS
THETA G CLASS 2
The temperature constant Theta for refractory participate organic carbon has limited variability
in published applications. Di Toro (2001) uses a value of 1.10 for three dissimilar sites, including
both freshwater and saltwater sites; Thomann and Mueller (1987) use a value of 1.04; a value of
1.15 has been used for the Lake Onondaga simulations based on other applications. Because
there is no justification for any one value, we used a uniform distribution between 1.04 and 1.15
(Figure 40) with ten iterations. Neither endpoint chosen, sediment oxygen demand nor dissolved
oxygen in the hypolimnion, is very sensitive to Theta (Figure 41, Figure 42).
1.05 1.06 1.07 1.08 1.09 1.1 1.11 1.12 1.13 1.14
Figure 40. Distribution of Theta for refractory particulate organic carbon.
SOD (gO2/m2 d)
5/7/2009 2:45:42 PM
2.5
2.0
Mean
Mean - StDev
Mean + StDev
Deterministic
1/12/1989 5/12/1989
9/9/1989
1/7/1990
5/7/1990
9/4/1990
1/2/1991
Figure 41. Sensitivity of sediment oxygen demand to Theta in Lake Onondaga NY.
37
-------
Oxygen (mg/L)
5/7/2009 2:47:54 PM
10.0
8.0
Mean
Mean -StDev
Mean + StDev
Deterministic
1/12/1989
5/12/1989
9/9/1989
1/7/1990
5/7/1990
9/4/1990
1/2/1991
Figure 42. Sensitivity of hypolimnetic dissolved oxygen to Theta in Lake Onondaga in Onondaga
Lake NY.
Cahaba River, AL
SMALLMOUTH BASS TOPT
Temperature preference by adults is for 28-31° C, as evidenced by positioning when given a
choice; and optimal growth occurs between 26 and 29° C (Edwards et al. 1983). A normal curve
was fit to these ranges, with the median of 28.5° taken as the mean, and a standard deviation of
1.5° to fit the range (Figure 43). The TOpt value used in the deterministic run was 29°, so the
mean result differs somewhat from the deterministic result; the model is quite sensitive to the
smallmouth bass TOpt (Figure 44). Interestingly, the top-down control on shiners and periphyton
is negligible by the second year based on the decline in sensitivity (Figure 45, Figure 46).
38
-------
26 27
28
29 30 31
Figure 43. Distribution of smallmouth bass TOpt values used in analysis.
Smallmouth Ba2 (g/m2
5/5/2009 8:58:54 AM
0.25
0.15
0.1
0.05
Mean
Mean -StDev
Mean + StDev
Deterministic
3/10/2001 7/8/2001 11/5/2001 3/5/2002 7/3/2002 10/31/2002
Figure 44. Sensitivity of smallmouth bass to smallmouth bass TOpt in Cahaba River AL.
39
-------
Shiner (g/m2 dry)
5/5/2009 9:01:52 AM
Mean
Mean -StDev
Mean + StDev
Deterministic
0.4
3/10/2001 7/8/2001 11/5/2001 3/5/2002
7/3/2002 10/31/2002
Figure 45. Sensitivity of shiners to smallmouth bass TOpt in Cahaba River AL.
Peri, Green wr (g/m2
5/5/2009 9:10:47 AM
Mean
Mean -StDev
Mean + StDev
Deterministic
3/10/2001
7/8/2001
11/5/2001
3/5/2002
7/3/2002
10/31/2002
Figure 46. Sensitivity of periphytic green algae to smallmouth bass TOpt in Cahaba River AL.
PERIPHYTIC GREEN, % LOST WITH SLOUGHING EVENT
There are no data on which to base the analysis, so a skewed triangular distribution was
defined around the calibrated value (Figure 47). Biomass of the periphytic green algae are
moderately sensitive to the percent lost with sloughing (Figure 48, Figure 49).
40
-------
50 55 60 65 70 75 80 65 90 95
Figure 47. Triangular distribution of percent lost with sloughing used in analysis.
Peri, Green wr (g/m2
5/6/2009 10:13:00 AM
Mean
Mean -StDev
Mean + StDev
Deterministic
o.o
3/10/2001
7/8/2001
11/5/2001
3/5/2002
7/3/2002
10/31/2002
Figure 48. Sensitivity of periphytic green algae to percent lost with sloughing in Cahaba River AL.
41
-------
100%
IS)
£
0)
2
00
.c
Q.
'C
0)
Q.
U
75% -
50% -
25% -
0%
4/19/2001
11/5/2001
5/24/2002
12/10/2002
Figure 49. Coefficient of variation for periphytic green algae based on sensitivity analysis of
"percent lost with sloughing" in Cahaba River AL.
CHIRONOMID, SELECTIVE SORTING
Chironomids living in sand, as in the Cahaba River, are very selective feeders; however, those
living in fine-grained sediment may ingest up to 50% inorganic sediments by larval dry weight;
and the average for 12 sediments is 10% (Ristola et al. 1999). Therefore, a skewed triangular
distribution was used (Figure 50) with a minimum of 0.4 and the most likely and maximum
coinciding at 1 (and 1.0001). In actuality, the highest value used in the analysis was 0.985, and
the deterministic simulation exceeded the mean + 1 standard deviation; the chironomids are
sensitive to this parameter (Figure 51). This result was obtained only after the code was
modified to desensitize the function to deposited sediment; previously, all chironomids died out
unless selective sorting equaled 1. In this way the analyses contributed to an improvement in
the model.
0.4 0.45 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1
Figure 50. Skewed triangular distribution of selective sorting used in analysis.
42
-------
Chironomid (g/m2 dry)
5/8/2009 6:52:56 AM
Mean
Mean -StDev
Mean + StDev
Deterministic
3/10/2001
7/8/2001
11/5/2001
3/5/2002
7/3/2002
10/31/2002
Figure 51. Sensitivity of chironomid biomass to selective sorting by chironomids in Cahaba River.
Based on the literature survey and sensitivity results, the default selective sorting value for
chironomids was changed to 0.9. The model was then re-run with the new value (and code);
the perturbed simulation is with X2 TSS as a further test of the sensitivity. The perturbed results
seem reasonable (Figure 52): depositional events cause a decrease of up to 50% in chironomid
biomass. Black arrows on the figure below represent the approximate peaks of depositional
periods.
0.3
0.3
0.2
°2
0.2
0.2
0.1
0.1
0.1
Chironomid (g/m2 d
Ctl chironomids (g/m
ry) I
n2 dry) |
3/10/2001 7/8/2001 11/5/2001 3/5/2002 7/3/2002 10/31/2002
Figure 52. Chironomid biomass perturbed with X2 TSS (red line) compared to control simulation
(green dots) in Cahaba River AL.
43
-------
Duluth Pond, MN, Chlorpyrifos
JVQW
The ARS Pesticide Properties Database reports the Log Kow of chlorpyrifos as 5 (4.7-5.3), and
5 is used in the deterministic simulation. The Australian National Toxics Network gives the
value as 4.96 and several US EPA publications give the value as 4.7. A value of 5 is used as
the most likely value in a triangular distribution, with bounding values of 4.6 and 5.4 (Figure 53);
compare this to the range of 4.25 to 5.75 used in the nominal-range sensitivity analysis with a
15% change. The concentration of chlorpyrifos in the water is moderately sensitive to the Kow
(Figure 54). The concentration in adult green sunfish is also moderately sensitive (Figure 55)
because of their time-dependent bioaccumulation, and this is reflected in their variable biomass
(Figure 56). All other biotic groups exhibit almost immediate and uniform mortality across the
range of Kows (Figure 57). Note that the chironomid biomass was most sensitive with the
nominal range of 15% (Figure 12), but it was not sensitive to the better defined triangular
distribution. The uptake of chlorpyrifos and its effect on chironomids is quite different between
log Kow of 5.4 and 5.75. A detailed analysis is provided in Appendix A (page 59).
o
4.6 4.65 4.7 4.75 4.8 4.85 4.9 4.95 5 5.05 5.1 5.15 5.2 5.25 5.3 5.35 5.4
Figure 53. Triangular distribution of log Kow for chlorpyrifos used in analysis.
44
-------
T1 H2O (ug/L)
4/2/2010 2:36:04 PM
-- Mean
- Minimum
-A- Maximum
-₯-Mean -StDev
-- Mean + StDev
° Deterministic
3.0
2.0
1.0
6/27/1986 7/12/1986 7/27/1986 8/11/1986 8/26/1986 9/10/1986
Figure 54. Sensitivity of chlorpyrifos concentration in Duluth pond MN as a function of log Kow.
TIGreen Sunfish, Adul
4/2/2010 2:36:04 PM
6.00E-04
5.00E-04
4.00E-04
3.00E-04
2.00E-04
1 .OOE-04
2.71 E-20
Mean
Minimum
Maximum
Mean -StDev
Mean + StDev
Deterministic
6/27/1986 7/12/1986 7/27/1986 8/11/1986 8/26/1986 9/10/1986
Figure 55. Sensitivity of chlorpyrifos concentration in green sunfish in Duluth pond MN as a
function of log Kow.
45
-------
Green Sunfish, Adult
4/2/2010 2:36:04 PM
1.40E-02
1.20E-02
1 .OOE-02
8.00E-03
6.00E-03
4.00E-03
2.00E-03
O.OOE+00
-- Mean
- Minimum
-A- Maximum
-₯-Mean -StDev
-- Mean + StDev
° Deterministic
6/27/1986 7/12/1986 7/27/1986 8/11/1986 8/26/1986 9/10/1986
Figure 56. Sensitivity of green sunfish biomass to log Kowof chlorpyrifos in Duluth pond MN.
Chironomid (g/m2 dry)
4/2/2010 2:36:04 PM
0.35'
0.25'
0.2
0.15'
0.1
0.05
Mean
Minimum
Maximum
Mean -StDev
Mean + StDev
Deterministic
6/27/1986 7/12/1986 7/27/1986 8/11/1986 8/26/1986 9/10/1986
Figure 57. Sensitivity of chironomid biomass to log Kowof chlorpyrifos in Duluth pond MN.
46
-------
Ohio Stream, Chlorpyrifos
YELLOW PERCH LC50
Yellow perch was chosen for analysis because it is the most sensitive biotic group to
chlorpyrifos (Figure 58). The yellow perch LC50 of 2.22 ug/L for chlorpyrifos was estimated
from observed bluegill LC50 using the Interspecies Correlation Estimation (ICE); a standard
deviation of 1.08 was also based on ICE statistics (Figure 59). Following the first dose of
chlorpyrifos, yellow perch may decline a little or a lot, depending on the LC50 (Figure 60).
Another way of analyzing the response is to plot the results in a risk graph (Figure 61); there is a
50% chance that yellow perch will decline by 58.5% by the end of the simulation and a 100%
chance that they will decline by 14.5%. Top-down control of lower trophic levels can be seen in
the response of mayflies (Figure 62); due to variable predation by yellow perch, mayflies too are
somewhat sensitive to the yellow perch LC50 values.
Ohio Creek (PERTURBED)
Run on 05-8-09 1:39 PM
Chironomid (g/m2dry)
Tubifex tubife (g/m 2 dry)
Mussel (g/m2 dry)
Mayfly (Baetis (g/m 2 dry)
Gastropod (g/m 2 dry)
Shiner (g/m2 dry)
Yellow Perch (g/m2 dry)
Stoneroller (g/m2 dry)
White Sucker (g/m2 dry)
Smallmouth Bas (g/m 2 dry)
- T1 H2O (ug/L)
1/30/1997
4/30/1997
7/29/1997
10/27/1997
Figure 58. Response of yellow perch (circles) and other animals to pulsed loadings of chlorpyrifos
in Ohio stream.
47
-------
0.005
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5
Figure 59. Distribution of yellow perch LC50 used in analysis.
Yellow Perch (g/m2 dr
5/8/2009 2:33:26 PM
Mean
Mean -StDev
Mean + StDev
Deterministic
1/30/1997 3/31/1997 5/30/1997 7/29/1997 9/27/1997 11/26/1997
Figure 60. Sensitivity of yellow perch in Ohio stream to chlorpyrifos LC50.
48
-------
Biomass Risk Graph
5/9/2009 11:17:08 AM
100.0
90.0
80.0
>> 70.0
!5
60.0
.a
g
i 50.0
c
HI
g 40.0
Q.
30.0
20.0
10.0
Yellow Perch
15
20
25
30 35 40 45
Percent Decline at Simulation End
50
55
Figure 61. Risk graph demonstrating sensitivity of yellow perch to LC50 distribution.
Mayfly (Baetis (g/m2
5/8/2009 2:53:44 PM
6.0
5.0
4.0
3.0
2.0
1.0
0.0
Mean
Mean -StDev
Mean + StDev
Deterministic
1/30/1997 3/31/1997 5/30/1997 7/29/1997 9/27/1997 11/26/1997
Figure 62. Sensitivity of mayflies in Ohio stream to yellow perch LC50.
Galveston Bay, TX, PCBs
SEA TROUT TOPT
A value of 27° for sea trout optimal temperature is supported by the literature and is used in the
deterministic simulation. According to the Web page of the Smithsonian Marine Station at Fort
Pierce FL, spawning takes place from 24° to 30°; these values were used to obtain a normal
49
-------
distribution (Figure 63, mean = 27°, SD = 1.5). The simulation was cut from three years to one
year because equilibrium was obtained in both PCB concentrations and biomass. Sea trout are
moderately sensitive to the TOpt (Figure 64); however, the concentration of PCBs in sea trout is
even more sensitive to the TOpt (Figure 65, Figure 66).
0.045
0.04
26
27
28
29
30
Figure 63. Distribution of sea trout TOpf used in analysis.
Cynoscion (sea (g/m2
5/7/2009 10:17:40 AM
0.6
0.5
0.4'
0.3
0.2
0.1
0.0
Mean
Mean - StDev
Mean + StDev
Deterministic
1/20/1999 3/21/1999 5/20/1999 7/19/1999 9/17/1999 11/16/1999
Figure 64. Sensitivity of sea trout to TOpt in Galveston Bay TX.
50
-------
TICynoscion (sea (ug/
5/7/2009 9:57:24 AM
2.00E-04
1.50E-04
1 .OOE-04
5.00E-05
1.36E-20 -b
Mean
Mean - StDev
Mean + StDev
Deterministic
1/20/1999
3/21/1999 5/20/1999
7/19/1999 9/17/1999 11/16/1999
Figure 65. Sensitivity of concentration of PCBs in sea trout as a function of sea trout TOpt in
Galveston Bay TX.
120.0%
^ 100.0%
3
o
0.0%
11/1/1998 2/9/1999 5/20/1999 8/28/1999 12/6/1999 3/15/2000
Figure 66. Coefficient of variation for concentration of PCBs in sea trout based on sensitivity
analysis of sea trout TOpt in Galveston Bay TX.
Discussion of Nominal-Range and Statistical Sensitivity
Analyses
Of the two methods, nominal-range sensitivity may be considered the less powerful technique,
evaluating variables one at a time with nonparametric statistics. Statistical sensitivity analysis is
a parametric technique based on defined distributions and can evaluate interactions among
variables. As shown in the case studies, it provided insights beyond nominal-range sensitivity
for key ecosystem parameters, boundary conditions, and helped to refine model constructs.
51
-------
Table 5 summarizes the analyses and shows a rough correspondence between the results of
the two methods. The two statistics are not directly comparable, however. Sensitivity provides
results based that are integrated over the entire study whereas CV represents the variability
over the course of a run based on a distribution of feasible parameter values. The most
sensitive endpoint-parameter pairing in all the statistical sensitivity analyses was % blue-greens
in Lake Onondaga as a function of blue-green PMax with CV% = 127. That was followed closely
by % blue-greens in Lake Onondaga as a function of blue-green TOpt. Both also had high
sensitivity % based on nominal-range sensitivity. Chlorophyll a in Lake Onondaga was also
sensitive, but much less so.
Table 5. Comparison of sensitivity % (nominal-range sensitivity) and CV % (statistical sensitivity).
Site
Lake
Onondaga NY
Lake
Onondaga NY,
Diagenesis
Cahaba River
AL
Duluth Pond
MN
Ohio Stream
Endpoint
Chlorophyll a
% Blue-green
Hypo. DO
Hypolimnetic
SOD
Hypo. DO
Smallmouth
bass
Shiner biomass
Periphytic
green algae
Periphytic
green algae
Chironomid
biomass
Chlorpyrifos in
water
Chlorpyrifos in
sunfish
Sunfish
biomass
Chironomid
biomass
Yellow perch
biomass
Parameter
BI-grTOpt
Bl-gr Pmax
Diatom
Pmax
BI-grTOpt
Bl-gr Pmax
Diatom
Pmax
BI-grTOpt
Theta
Theta
Smallmouth
TOpt
Smallmouth
TOpt
Smallmouth
TOpt
% Lost to
sloughing
Chiro. sel.
sorting
Chlorpyrifos
Kow
Chlorpyrifos
Kow
Chlorpyrifos
Kow
Chlorpyrifos
Kow
Chlorpyrifos
LC50 yellow
perch
Test
%
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
Sensitivity
%
52.6
52.5
720
244
119
4.3
276
88.7
369
76.1
621
234
888
546
0.25
Distribution
Uniform
Normal
Normal
Uniform
Normal
Normal
Uniform
Uniform
Uniform
Normal
Normal
Normal
Triangular
Triangular
Triangular
Triangular
Triangular
Triangular
Normal
Mean
CV%
30.5
27.3
18.4
114.2
127.1
15.2
18*
10*
21.4*
24.7
13.4
43.2
47.4
27.8
8.1
63.6
47.5
11.5
7
52
-------
Galveston Bay
TX
Mayfly biomass
Sea trout
biomass
PCBs in sea
trout
Chlorpyrifos
LC50 yellow
perch
Sea trout
TOpt
Sea trout
TOpt
15
33
33
0.25
167
Normal
Normal
Normal
17.7
41.8
45.5
A serious drawback to nominal-range sensitivity analysis is that even a 15% variation may result
in inappropriate parameter values, especially if the given deterministic parameter value is near
the limit of observed values. For example, hypolimnetic SOD in Lake Onondaga had a
sensitivity of 276% as a function of Theta. Published values of Theta range from 1.04 to 1.15;
the latter value is used in the deterministic simulation, so 15% variation yields 0.98 and 1.32
well beyond the uniform distribution, which has a CV = 10. Additionally, nominal range statistics
are computed for the entire run but miss the variability over the course of the simulation.
Sensitivity analysis can also point out problems with model formulations. In this exercise,
simulated chironomid biomass in the Cahaba River as a function of selective sorting yielded
sensitivity of 621%. When a statistical distribution was used chironomid biomass went to zero.
The original sensitivity was an artifact of the sediment effects formulation. The sorting construct
was re-formulated, and the results were reasonable, with CV = 27.8%.
Nominal-range sensitivity for the Duluth pond simulations was very sensitive to the log Kow
values. Statistical sensitivity analysis was moderately sensitive. Because they are log values, a
small change in Kow values can lead to a large change in result. On the other hand, not all
analyses yield sensitive results. The Ohio stream simulation is insensitive to the chlorpyrifos
LC50 for yellow perch because the pulsed loading of chlorpyrifos is only 0.4 ug/L, compared to
6.3 ug/L in the Duluth pond. Sensitivity analysis should always be in the context of the specific
site.
Sea trout TOpt was varied in a simulation of Galveston Bay in the final analysis; both sea trout
biomass and PCB concentrations in sea trout were moderately sensitive using a well defined
normal distribution. However, nominal-range sensitivity analysis used 33% variation, which put
the sea trout TOpt at 18° and 35.9°, compared to the TMax of 35°. No wonder it was very
sensitive! A variation of 10% should probably be used for most analyses; this led to changing
the default percent change to 10%.
Considering patterns of sensitivity, TOpt is moderately sensitive across sites using well defined
distributions. This is despite the fact that the temperature function incorporates limited
adaptation, which should desensitize the function. It is a non-linear function with optimum and
maximum temperatures that are usually close (U.S. Environmental Protection Agency 2009,
Figure 67). This function, attributed to Stroganov (1956), is well established in the peer-
reviewed literature. Sensitivity for specific groups appears to be consistent with the literature.
53
-------
STROGANOV FUNCTION
BLUE-GREENS
10 20 30
TEMPERATURE (C)
40
Figure 67. Temperature response of blue-greens.
As we have seen, the algal parameters are also sensitive across sites. This is probably a
consequence of potentially rapid growth rates and susceptibility to sloughing (periphyton) and
crashes of blooms (phytoplankton). This analysis suggests that users should be careful in
choosing parameter values and should be willing to conduct site-specific calibrations.
Summary and Conclusions
This comprehensive sensitivity analysis was designed to exercise the AQUATOX model with a
wide range of parameter changes and to summarize overall results. The project was performed
partially to test the response of the model to many hundreds of parameterizations to ensure
model stability and reasonable results in all cases. The other goal of this exercise was to assist
in model calibration. Sensitivity analyses provide a useful tool to understand which parameters
are likely to be most fruitful towards pushing the model towards a specific calibration goal
without exceeding the defensible range for each parameter.
Overall, the model performed well in the model stress test. Thousands of alternative model
parameterizations were executed without producing unreasonable results, or results outside the
realm of physical plausibility. However, one model construct was modified as a result of these
teststhe manner in which the model interprets the "sorting" parameter for invertebrate feeding.
Initial model results indicated that the model was overly sensitive to this new parameter and it
has been modified as shown in equation (120) of the Release 3.1 Technical Documentation.
In general users should use a multi-parameter nominal-range sensitivity analysis when trying to
understand the overall response of a system to changes in many of its parameters. When trying
to understand the potential effects of a single parameter within the range of uncertainty in its
observed values, a statistical sensitivity analysis is a better approach because the observed
values can be used to define an appropriate uncertainty distribution.
This sensitivity analysis can also support current and future model calibrations. The general
observations listed below have supported recent AQUATOX calibrations and hopefully will
assist future calibration efforts for readers of this document.
54
-------
AQUATOX biotic state variables are sensitive to temperature parameters. Careful
attention should be paid to these variables by anyone calibrating biotic state variables
regardless of the type of site being modeled.
Consumption and respiration parameters are also sensitive, especially when allometric
formulations are used for fish.
Algae are sensitive to their maximum photosynthesis rate (PMax) which was also tested
more thoroughly through a statistical sensitivity analysis.
Simpler food-web models are more sensitive to effects from food-web interactions due to
lack of alternative prey sources within the model's domain.
Periphyton biomass is quite sensitive to the effects of sloughing and therefore sloughing
parameters such as "percent lost in slough event" are sensitive parameters.
Log Kow is a highly sensitive parameter for toxicant fate and effect.
Despite the complexity of the AQUATOX model, a comparison of 15% and 33%
parameter changes provided similar responses (when normalized to the size of the
parameter change as is done by the sensitivity statistic).
55
-------
References
Collins, C. D., and J. H. Wlosinski. 1983. Coefficients for Use in the U.S. Army Corps of
Engineers Reservoir Model, CE-QUAL-R1. Tech. Rept. E-83-15, Environmental
Laboratory, U.S. Army Engineer Waterways Experiment Station, Vicksburg, Miss.
Di Toro, D. M. 2001. Sediment Flux Modeling. Wiley-lnterscience, New York.
Edwards, E. A., G. Gebhart, and O. E. Maughan. 1983. Habitat Suitability Information:
Smallmouth Bass. FWS/OBS-82/10.36, Fish Wildlife Service.
Gobas, F. A. P. C., E. J. McNeil, L. Lovett-Doust, and G. D. Haffner. 1991. Bioconcentration of
Chlorinated Aromatic Hydrocarbons in Aquatic Macrophytes (Myriophyllum spicatum).
Environmental Science & Technology 25:924-929.
Ristola, T., J. Pellinen, M. Ruokolainen, A. Kostamo, and J. V. K. Kukkonen. 1999. Effect of
Sediment Type, Feeding Level, and Larval Density on Growth and Development of a
Midge (Chironomus riparius). Environmental Toxicology and Chemistry 18:756-764.
Stroganov, N. S. 1956 (1962 translated). Physiological Adaptability of Fish to the Temperature
of the Surrounding Medium. Academy of Sciences of the U.S.S.R., Moscow.
Thomann, R. V., and J. Mueller. 1987. Principles of Surface Water Quality Modeling and
Control. HarperCollins, New York, NY.
U.S. Environmental Protection Agency. 2009. AQUATOX (Release 3) Modeling Environmental
Fate and Ecological Effects in Aquatic Ecosystems, Volume 2: Technical
Documentation. EPA-823-R-09-004, U.S. Environmental Protection Agency, Office of
Water, Office of Science and Technology, Washington DC.
56
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Appendix A. Detailed Analysis of the Fate and Effects of
Chlorpyrifos in the Duluth Pond
As noted earlier, there was a discrepancy between the nominal-range and statistical sensitivity
analysis of chlorpyrifos in a Minnesota pond; and some of the results were counterintuitive.
Bounding values of 4.6 and 5.4 were used for a triangular distribution of log Kow in the
statistical sensitivity analysis of chlorpyrifos (Figure 53), compared to the range of 4.25 to 5.75
used in the nominal-range sensitivity analysis. Chironomid biomass is insensitive up to log Kow
5.4 (Figure 57) but is very sensitive to a value of 5.75 (Figure 12). This merits closer
examinationwhich is possible given the extensive output that is available with the model. If we
force log Kow to have values of 4.25 and 5.75, as in the nominal-range sensitivity analysis, then
there is considerable difference between the two simulations of chironomid biomass (Figure A-
1, Figure A-2). With the lower Kow most chlorpyrifos is predicted to be in the dissolved phase
(Figure A-3). With the higher Kow, more chlorpyrifos is tied up in the bottom sediments and
especially in the abundant macrophytes (Figure A-4). As seen in Figure A-5, log Kow 5 to 6 is a
critical range for uptake by macrophytes.
57
-------
0.36
a
01
0.00
CHLORPYRIFOS 6 ug/L (CONTROL)
Run on 04-3-10 2'34 PM
I
V_.
6/27/1986 7/27/1986 8/26/1986
xti i / i n i \
Obs. Chironomids (no./sample)
900
Figure A-1. Predicted biomass of chironomids in Duluth pond with chlorpyrifos log Kow = 4.25.
CHLORPYRIFOS 6 ug/L (PERTURBED)
Run on 04-3-10 2:34 PM
Chironomid (g/m2 dry)
Obs. Chironomids (no./sample)
6/27/1986
7/27/1986
8/26/1986
Figure A-2. Predicted biomass of chironomids in Duluth pond with chlorpyrifos log Kow = 5.75.
Note partial recovery after initial mortality.
58
-------
CHLORPYRIFOS 6 ug/L (CONTROL)
Run on 04-3-10 2:34 PM
T1 Mass Dissolved (kg)
T1 Mass Susp. Detritus (kg)
T1 Mass Animals (kg)
T1 Mass Plants (kg)
T1 Mass Bottom Sed. (kg)
T1 H2O (ug/L)
6/27/1986
7/27/1986
8/26/1986
Figure A-3. Predicted distribution of chlorpyrifos mass in Duluth pond with log Kow = 4.25.
1 KOF C\A
_^
2.03E-20
CHLORPYRIFOS 6 ug/L (PERTURBED)
Run on 04 3 10 2-^4 PM
^ \,
\ X"^
f\\ \^_
^^^ "
6/27/1986 7/27/1986 8/26/1986
.54 T1 Mass Bottom Sed. (kg)
.4 8 -T1 H20(ug/L)
-4.2
-3.6
IQ
3.0 >
-2.4
-1.8
-1.2
-.6
Figure A-4. Predicted distribution of chlorpyrifos mass in Duluth pond with log Kow = 5.75.
59
-------
500
100
2468
Log KOW
Predicted Observed
10
Figure A-5. Uptake rate constant for macrophytes (U.S. Environmental Protection Agency 2009,
based on data from Gobas et al. 1991)
Chironomids are parameterized to feed on labile sedimentary detritus, so they are not directly
exposed to chlorpyrifos associated with macrophytes. At the lower Kow chlorpyrifos is available
to be sorbed across the gills (Figure A-6), leading to a high mortality in the simulated
chironomids; at the higher Kow uptake across the gills is lower and mortality is lower (Figure A-
7). Furthermore, disruption of feeding at sublethal concentrations means that there is not as
much dietary uptake. In conclusion, by examining distribution of chlorpyrifos mass and rates of
uptake predicted by AQUATOX, counterintuitive results can be reconciled.
CHLORPYRIFOS 6 ug/L (CONTROL)
Run on 04-3-10 2:34 PM
TIChironomid
TIChironomid
TIChironomid
TIChironomid
TIChironomid
TIChironomid
Emerglnsct (Percent)
GillUptake (Percent)
DietUptk (Percent)
Depuration (Percent)
Predation (Percent)
Mortality (Percent)
6/27/1986
7/27/1986
8/26/1986
Figure A-6. Predicted processes affecting transfer of chlorpyrifos in chironomids with log Kow-
4.25.
60
-------
CHLORPYRIFOS 6 ug/L (PERTURBED)
Run on 04-3-10 2:34 PM
120
96
QJ
CD
Q_
24
A
\
i
V
n
\ I
1
1\ L
\/ ~vvwvy
A '
^
N
'' . ~^ j
-it n K
n^T
1
' i
TH/-«I ' -II- 1 A /l-l A\
TIChironomid Mortality (Percent)
6/27/1986 7/27/1986 8/26/1986
Figure A-7. Predicted processes affecting transfer of chlorpyrifos in chironomids with log Kow-
5.75.
61
-------
Appendix B. Additional Select Tornado Diagrams for Each
Simulation
Sensitivity of Secchi d (m) to 15% change in tested parameters
28.8% - Susp&Diss Detr: Mult. Point Source Load by
19.8% - Cryptomonad: Max Photosynthetic Rate (1/d)
17.4% - Cryptomonad: Temp Response Slope
16.7% - Phyt, Blue-Gre: Optimal Temperature (deg. C)
14.2% - Susp&Diss Detr: Mult. Non-Point Source Load by
14.1% - Cryptomonad: Maximum Temperature (deg. C)
11.2% - Cryptomonad: Exponential Mort. Coefficient: (max / d)
10.2% - Phyt, Blue-Gre: Temp Response Slope
9.37% - Cryptomonad: Optimal Temperature (deg. C)
6.65% - Phyt, Blue-Gre: Max Photosynthetic Rate (1/d)
6.26% - Cyclotella nan: Max Photosynthetic Rate (1/d)
5.69% - Cyclotella nan: Light Extinction (1/m)
5.13% - Cryptomonad Resp. Rate, 20 deg C (g/g d)
4.82% - Cryptomonad: Light Extinction (1/m)
1.32
1.34
1.36 1.38
Secchi d (m)
1.4
1.42
Figure B-1: Onondaga Lake, Turbidity Results (Secchi depth), 15% parameter test.
62
-------
Sensitivity of Phyto. Chlorophyll (ug/L) to 33% change in tested parameters
178% - Phyt Blue-Gre' Maximum Temperature (deg C)
65 5% - Phyt Blue-Gre' Temp Response Slope
55.2% - Cryptomonad: Max Photosynthetic Rate (1/d)
45.9% - Susp&Diss Detr: Mult. Point Source Load by
44.2% - Cryptomonad: Exponential Mort. Coefficient: (max / d) -
37.6% - Cyclotella nan: Max Photosynthetic Rate (1/d)
30.9% - Greens: Max Photosynthetic Rate (1/d)
26.6% - Cryptomonad: Maximum Temperature (deg. C)
21.4% - Cyclotella nan: Light Extinction (1/m) -
20.9% - Susp&Diss Detr: Mult. Non-Point Source Load by
19.6% - Cyclotella nan: Temp Response Slope -
19.4% - Cyclotella nan: Maximum Temperature (deg. C)
17.5% - Cryptomonad Resp. Rate, 20 deg C (g/g d) -
i
^^^m
___^H
-
^m
^^H
1
'
^^
I
1
"" 1
" 1
\
20 25 30 35 40 45 50
Phyto. Chlorophyll (ug/L)
Figure B-2: Onondaga Lake, Chlorophyll a Results, 33% parameter test.
Sensitivity of Percent Blue-Greens (%) to 33% change in tested parameters
845% - Phyt, Blue-Gre: Maximum Temperature (deg. C)
658% - Phyt, Blue-Gre: Temp Response Slope
638% - Phyt, Blue-Gre: Optimal Temperature (deg. C)
228% - Phyt, Blue-Gre: Max Photosynthetic Rate (1/d)
202% - Phyt, Blue-Gre Resp. Rate, 20 deg C (g/g d)
114% - Cyclotella nan: Max Photosynthetic Rate (1/d)
103% - Cyclotella nan: Maximum Temperature (deg. C)
65.1% - Cyclotella nan: Optimal Temperature (deg. C)
56.7% - Phyt, Blue-Gre: Saturating Light (Ly/d)
48.5% - Greens: Max Photosynthetic Rate (1/d)
46.8% - Phyt, Blue-Gre: Light Extinction (1/m)
30% - Greens: Optimal Temperature (deg. C)
28.2% - Susp&Diss Detr: Mult. Point Source Load by
25% - Cyclotella nan: Temp Response Slope
10 20 30 40 50
Percent Blue-Greens (%)
60
70
Figure B-3: Onondaga Lake, Percent Blue-Greens Results, 33% parameter test
63
-------
Sensitivity of HYP Oxygen (mg/L) to 15% change in tested parameters
52.2% - Cryptomonad: Max Photosynthetic Rate (1/d)
25.8% - Cryptomonad: Exponential Mort. Coefficient: (max / d)
24.8% - Susp&Diss Detr: Mult. Point Source Load by
24.3% - Cryptomonad: Temp Response Slope
20.9% - Cryptomonad: Maximum Temperature (deg. C)
13.8% - Susp&Diss Detr: Mult. Non-Point Source Load by
11.7% - Cryptomonad: Optimal Temperature (deg. C)
10.3% - Cryptomonad: P Half-saturation (mg/L)
10.1% - Cryptomonad Resp. Rate, 20 deg C(g/g d)
5.67% - Cyclotella nan: Light Extinction (1/m)
5.37% - NH3 & NH4+: Mult. Point Source Load by
4.27% - Phyt, Blue-Gre: Optimal Temperature (deg. C)
4.18% - Cryptomonad: Light Extinction (1/m)
4.16% - Tot. Sol. P: Mult. Point Source Load by
7.6 7.8 8 8.2
HYP Oxygen (mg/L)
8.4
Figure B-4: Onondaga Lake, Hypolimnion Oxygen Results, 15% parameter test.
Sensitivity of Largemouth Ba2 (g/m2 dry) to 15% change in tested parameters
142% - Cyclotella nan: Max Photosynthetic Rate (1/d)
87.4% - Cryptomonad: Max Photosynthetic Rate (1/d)
42.4% - Cyclotella nan: Temp Response Slope
39.7% - Phyt, Blue-Gre: Optimal Temperature (deg. C)
38.4% - Cryptomonad: Exponential Mort. Coefficient: (max / d)
36% - Cryptomonad: Temp Response Slope
35.8% - Susp&Diss Detr: Mult. Point Source Load by
29.9% - Cyclotella nan Resp. Rate, 20 deg C (g/g d)
29.4% - Cyclotella nan: Optimal Temperature (deg. C)
21.8% - Cyclotella nan: Light Extinction (1/m)
20.2% - Cryptomonad: Maximum Temperature (deg. C)
20% - Cryptomonad Resp. Rate, 20 deg C (g/g d)
19.7% - Cryptomonad: P Half-saturation (mg/L)
18.8% - Phyt, Blue-Gre: Temp Response Slope
0.65 0.7 0.75 0.8
Largemouth Ba2 (g/m2 dry)
0.85
Figure B-5: Onondaga Lake, Largemouth Bass (Adult) Concentrations.
64
-------
Sensitivity of HYP NH3 & NH4+ (mg/L) to 15% change in tested parameters
40.5% - Diagenesis: Theta for nitrification
37.2% - Diagenesis: Theta for G class 2 POC
21.4% - Diagenesis: Theta for G class 1 PON
11.6% - Dagenesis: Theta for methane oxidation
11.3%- Dagenesis: H2(m)
11.2% - Diagenesis: Theta for G class 2 PON
8.36% - Dagenesis: Theta for denitrification
7% - Dagenesis: KappaNHSf (m/d)
4.43% - Diagenesis: KdNHS (L/kg)
4.34% - Diagenesis: ml (kg/L)
3.07% - Dagenesis: kpoc2 (1/d)
3.03% - Diagenesis: Theta for G class 1 POC
2.83% - Diagenesis: KM_NH3 (mgN/L)
2.47% - Dagenesis: kponl (1/d)
2.75
2.8 2.85 2.9 2.95
HYP NH3 & NH4+ (mg/L)
3.05
Figure B-6: Onondaga Lake Diagenesis, Ammonia in the Hypolimnion.
Sensitivity of HYP NO3 (mg/L) to 15% change in tested parameters
223% - Dagenesis: Theta for G class 2 POC
198% - Diagenesis: Theta for denitrification
90.1% - Diagenesis: KdNHS (L/kg)
83.3% - Diagenesis: Theta for nitrification
82.3% - Diagenesis: ml (kg/L)
54.6% - Diagenesis: KappaNO3_1f (m/d)
35.6% - Dagenesis: Theta for methane oxidation
22.7%- Dagenesis: H2(m)
22.7% - Dagenesis: kpoc2 (1/d)
21.8% - Dagenesis: O2critPO4 (mgO2/L)
18.7% - Diagenesis: Theta for G class 1 POC
16.6% - Dagenesis: KappaNO3_2 (m/d)
13% - Diagenesis: kpod (1/d)
12.9% - Diagenesis: Theta for G class 2 PON -
3 3.2 3.4 3.6 3.8 4 4.2 4.4 4.6 4.8
HYP NO3 (mg/L)
Figure B-7: Onondaga Lake Diagenesis, Nitrate in the Hypolimnion.
65
-------
Sensitivity of Caddisfly,Tric (g/m2 dry) to 15% change in tested parameters
285% - Caddisfly.Tric: Optimal Temperature (deg. C)
191% - Caddisfly,Tric: Maximum Temperature (deg. C)
93.2% - Temp: Multiply Loading by
59.2% - Caddisfly,Tric: Max Consumption (gig day)
42.7% - Peri Hi-Nut Di Pel. Lost Slough Event (percent) * Linked *
39.9% - Caddisfly.Tric: Respiration Rate: (1 /d)
36.9% - Susp&Diss Detr: Pet. Refr. Loads, Const.
36.5% - Caddisfly.Tric: Temperature Response Slope
33.2% - Caddisfly.Tric: Initial Condition (g/m2 dry)
32.8% - Peri Low-Nut D: Mortality Coefficient: (frac /d) * Linked *
28.8% - Chironomid: Optimal Temperature (deg. C)
27% - Feri Low -Nut D Resp. Rate, 20 deg C (g/g d) * Linked *
26.4% - Peri Hi-Nut D: Saturating Light (Ly/d) * Linked *
25.4% - Caddisfly.Tric: Half Sat Feeding (mg/L)
0.009 0.01 0.011 0.012 0.013 0.014
Caddisfly,Tric(g/m2dry)
Figure B-8: Cahaba River, Caddisfly.
Sensitivity of Mussel (g/m2 dry) to 15% change in tested parameters
165% - Temp: Multiply Loading by -
9O ^% IWIi iccol- Half Qat Foorlinn fmn/l ^
0
M
t
.6 0.8 1 1.2
Mussel (g/m2 dry)
^^^^H
I
I
1.4
Figure B-9: Cahaba River, Mussel.
66
-------
Sensitivity of Riffle beetle, (g/m2 dry) to 15% change in tested parameters
51.2% - Riffle beetle,: Specific Dynamic Action
30.4% - Riffle beetle,: Mortality Coeff (1/d)
13.8% - Riffle beetle, Sorting, selective feeding (unitless)
11.3% - Riffle beetle,: Initial Condition (g/m2 dry)
6.77% - Temp: Multiply Loading by -
3.18% - Riffle beetle,: Max Consumption (g / g day)
2.92% - Riffle beetle,: Temperature Response Slope
2.53% - Riffle beetle,: Carrying Capacity (g/sq.m)
2.16% - Peri Hi-Nut Di Pet. Lost Slough Event (percent) * Linked *
1.89% - Riffle beetle,: Optimal Temperature (deg. C)
1.42% - Riffle beetle,: Maximum Temperature (deg. C)
1.31% - Feri Hi-Nut D: Optimal Temperature (deg. C) * Linked *
1.26% - Feri, Nitzschi Pet. Lost Slough Event (percent) * Linked *
1.2% - Riffle beetle, Ammonia LC50 (mg/L)
1
1
1
.
^^^^^
^^
1
1
0.002 0.003 0.003
Riffle beetle, (g/m2 dry)
0.003
Figure B-10: Cahaba River, Riffle Beetle.
Sensitivity of Mayfly (Baetis (g/m2 dry) to 15% change in tested parameters
100% - Feri Hi-Nut Di: Optimal Temperature (deg. C) * Linked *
91.9% - Peri Hi-Nut Di: Temp Response Slope * Linked *
89.5% - Peri Hi-Nut Di Fct. Lost Slough Event (percent) * Linked *
87.7% - Shiner: Min Prey for Feeding
75.8% - Mayfly (Baetis: Max Consumption (g / g day)
67.9% - Temp: Multiply Loading by -
64.9% - Chironomid: Optimal Temperature (deg. C)
58.8% - Mayfly (Baetis Sorting, selective feeding (unitless)
54% - CO2: Initial Condition (mg/L)
52.3% - Fontinalis a Resp. Rate, 20 deg C (g/g d)
50.4% - Mayfly (Baetis: Optimal Temperature (deg. C)
48.6% - Riffle beetle,: Initial Condition (g/m2 dry)
48.6% - Caddisfly.Tric: Temperature Response Slope
48.2% - Susp&Diss Detr: Fct. Particulate, hit. Cond -
*
,^^m
,^^m
I
^" ,
1
^
0.04 0.042 0.044 0.046 0.048 0.05 0.052 0.054
Mayfly (Baetis (g/m2dry)
Figure B-11: Cahaba River, Mayfly.
67
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Sensitivity of Shiner (g/m2 dry) to 15% change in tested parameters
333% - Chironomid Sorting, selective feeding (unitless) -
168% - Temp: Multiply Loading by
154% - Cladophora: Optimal Temperature (deg. C) * Linked * -
152% - Shiner: Maximum Temperature (deg. C)
123% - Cladophora Resp. Rate, 20 deg C (g/g d) * Linked *
118% - Susp&Diss Detr: Pet. Fartic. Loads, Const. -
115% - Peri Hi-Nut Di Fct. Lost Slough Event (percent) * Linked
109% - Stonefly Nto Organics (frac dry)
107% - Fontinalis a: Temp Response Slope
106% - Peri, Nitzschi: P Half-saturation (mg/L) * Linked *
104% - Shiner: Optimal Temperature (deg. C) -
102% - Caddisfly.Tric Nto Organics (frac dry)
101% - Smallmouth Ba2: Optimal Temperature (deg. C)
98.9% - CO2: Const Load (mg/L)
0.4 0.5 0.6 0.7
Shiner (g/m2 dry)
0.8
Figure B-12: Cahaba River, Shiner.
Sensitivity of Bluegill (g/m2 dry) to 15% change in tested parameters
98.8% - Bluegill: (Allometric) CA
89.5% - Bluegill: Optimal Temperature (deg. C)
76.1% - Bluegill: Initial Condition (g/m2 dry)
72% - Temp: Multiply Loading by
62.3% - Peri Low-Nut D: Inorg. C Half-saturation (mg/L) * Linked *
61.4% - Peri Hi-Nut Di: Temp Response Slope * Linked *
59.3% - Bluegill: Mortality Coeff (1/d)
53.9% - Feri Hi-Nut D: Optimal Temperature (deg. C) * Linked *
52.3% - Shiner: (Allometric) CA
49.6% - Bluegill Ammonia LC50 (mg/L)
42.3% - Peri, Nitzschi: Max Photosynthetic Rate (1/d) * Linked *
41.2% - Chironomid: Optimal Temperature (deg. C)
41.1% - Bluegill: (Allometric) RA
41.1% - Bluegill: (Allometric) ACT
0.1 0.105 0.11 0.115 0.12 0.125 0.13
Bluegill (g/m2 dry)
Figure B-13: Cahaba River, Bluegill.
68
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Sensitivity of Stone roller (g/m2 dry) to 15% change in tested parameters
141% - Stoneroller: Optimal Temperature (deg. C)
131% - Stoneroller: Maximum Temperature (deg. C)
55.3% - Temp: Multiply Loading by
52.1% - Stoneroller: (Allometric) RA
52.1% - Stoneroller: (Allometric) ACT
41.9% - Stoneroller: Temperature Response Slope
12.8% - Stoneroller: Initial Condition (g/m2 dry)
8.14% - Stoneroller: Mean Weight (g)
7.67% - Stoneroller: (Allometric) CA
5.12% - Stoneroller: Min Adaptation Temperature (deg. C)
2.11% - Stoneroller: Mortality Coeff (1/d)
1.47% - Stoneroller: Specific Dynamic Action
0.914% - Feri Hi-Nut Di Pet. Lost Slough Event (percent) * Linked *
0.635% - Peri Hi-Nut Di: Optimal Temperature (deg. C) * Linked *
0.001 0.001 0.002 0.002
Stoneroller (g/m2 dry)
Figure B-14: Cahaba River, Stoneroller.
Sensitivity of Smallmouth Bas (g/m2 dry) to 15% change in tested parameters
84.8% - Temp: Multiply Loading by
61.4% - Smallmouth Bas: (Allometric) RA
61.4% - Smallmouth Bas: (Allometric) ACT
56% - Shiner: (Allometric) CA
52.4% - Smallmouth Bas: Initial Condition (g/m2 dry)
46.3% - Chironomid Sorting, selective feeding (unitless)
45.8% - Smallmouth Bas: (Allometric) CA
43.5% - Smallmouth Bas: Optimal Temperature (deg. C)
41.6% - Shiner: Optimal Temperature (deg. C)
37.1% - Cladophora: Optimal Temperature (deg. C) * Linked *
32.1% - Shiner: Maximum Temperature (deg. C)
27.6% - Cladophora Resp. Rate, 20 deg C (g/g d) * Linked *
24.5% - Shiner: Temperature Response Slope
24.2% - Smallmouth Bas: Maximum Temperature (deg. C)
0.018 0.019 0.02 0.021 0.022
Smallmouth Bas (g/m2dry)
Figure B-15: Cahaba River, Smallmouth Bass, YOY.
69
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Sensitivity of T1 H2O (ug/L) to 33% change in tested parameters
151% - T1: Octanol-Water Partition Coeff (Log Kow)
101% - T1: Initial Condition (ug/L)
34.5% - T1: Henry's Law Const, (atm. mA3/mol)
20.5% - T1: Aerobic Microbial Degrdn. (L/d)
18.7% - T1: Diatoms Bim. Rate Constant (1/d)
9.6% - T1: Molecular Weight
6.9% - T1: Uncatalyzed Hydrolysis (L/d)
4.27% - T1: Photolysis Rate (L/d)
3.63% - T1: Activation Energy for Temp (cal/mol)
2.47% - T1: Greens Bim. Rate Constant (1/d)
2.19% - Daphnia Wet to Dry (ratio)
2.18% - T1: Daphnia LC50 (ug/L)
1.7% - Daphnia: Maximum Temperature (deg. C)
1.58% - T1: Bluegreens Bim. Rate Constant (1/d)
0.4 0.5 0.6 0.7 0.8 0.9
T1 H2O (ug/L)
1.1 1.2
Figure B-16: Duluth Pond, Chlorpyrifos in Water, 33% parameter test.
Sensitivity of TlChironomid(ppb) (ug/kg wet) to 15% change in tested parameters
158% - T1: Octanol-Water Partition Coeff (Log Kow)
147% - T1: Initial Condition (ug/L)
141% - T1: Sed/Detr-Water Partition Coeff (mg/L)
102% - Chironomid Wet to Dry (ratio)
89.6% - Chironomid: Temperature Response Slope
86.9% - Chironomid: Respiration Rate: (1 /d)
68.1% - Chironomid: Optimal Temperature (deg. C)
53.2% - Shiner: Optimal Temperature (deg. C)
49.4% - T1: Henry's Law Const, (atm. mA3/mol)
43.4% - T1: Bluegreens Bim. Rate Constant (1/d)
42.8% - T1: Diatoms Bim. Rate Constant (1/d)
42.5% - Shiner: Mn Prey for Feeding
39.3% - T1: Chironomid LC50 (ug/L)
35.3% - T1: Chironomid EC50 Dslodge (ug/L)
1,000 1,500
TlChironomid(ppb) (ug/kg wet)
Figure B-17: Duluth Pond, Chlorpyrifos concentration in Chironomid.
70
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2296.4% - T1: Octanol-Water Partition Coeff (Log Kow)
125% - T1: Sed/Detr-Water Partition Coeff (mg/L)
73.2% - Green Sunfish2: Optimal Temperature (deg. C)
72.8% - T1: Initial Condition (ug/L)
68% - Green Sunfish2: Initial Condition (g/m2 dry)
60.3% - Green Sunfish2: (Allometric) RA
60.3% - Green Sunf ish2: (Allometric) ACT
56% - T1: Bluegill LC50 (ug/L)
53.4% - Green Sunf ish2 Wet to Dry (ratio)
53.4% - Green Sunfish2: Initial Fraction Lipid (wet wt.)
51.1% - Green Sunfish2: (Allometric) RB
34.2% - T1: Weibull Shape Parameter
21.4% - Green Sunfish2: Maximum Temperature (deg. C)
16.4% - Green Sunfish,: (Allometric) CA
/) to 33% change in tested parameters
^m
j
i
i
i
i
i
i
j
1
'
'
0 0.005 0.01 0.015 0.02
Green Sunfish2 (g/m2 dry)
Figure B-18: Duluth Pond, Sunfish, 33% parameter test.
Sensitivity of Chara (g/m2 dry) to 15% change in tested parameters
26 3% - "IT Chironomid EC50 Dislodge (ug/L)
20.8% - Chironomid: Maximum Temperature (deg. C)
20 8% - Daphnia Wet to Dry (ratio) ~
20 4% - T1 Daphnia LC50 (ug/L) -
20% - Daphnia: Respiration Rate: (1 / d) -
20% - T1: Diatoms Sim. Rate Constant (1/d) -
i 1
70
^^^^^^^^^^
71 72 73 74 75 7
Chara (g/m2 dry)
Figure B-19: Duluth Pond, Chara, 15% parameter test.
71
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Sensitivity of Caddisfly,Trichopter (g/m2 dry) to 15% change in tested parameters
353% - T1: Octanol-Water Partition Coeff (Log Kow)
182% - T1: Stonefly Elim. Rate Constant (1/d)
180% - Peri High-Nut Pet. Lost Slough Event (percent)
176% - Peri High-Nut: Optimal Temperature (deg. C)
168% - Peri, Blue-Gre: Mortality Coefficient: (frac / d)
167% - Peri, Blue-Gre: Maximum Temperature (deg. C)
167% - Peri, Green: Mortality Coefficient: (frac / d)
167% - Peri, Blue-Gre: Exponential Mort. Coefficient: (max / d)
167% - Peri, Blue-Gre: N:Organics (ratio)
167% - Peri, Blue-Gre: Max Photosynthetic Rate (1/d)
167% - Peri, Green: Exponential Mort. Coefficient: (max / d)
167% - Peri, Green: N:Organics (ratio)
167% - Peri, Green: Light Extinction (1/m)
167% - Peri, Blue-Gre: Const Load (g/m2 dry)
0.018 0.02 0.0220.0240.0260.028 0.03 0.0320.0340.0360.038 0.04 0.042
Caddisfly,Trichopter (g/m2 dry)
Figure B-20: Ohio Stream Chlorpyrifos, Caddisfly Biomass.
The two most sensitive parameters relate to toxicity and this can have effects that ripple throughout the
food web.
Sensitivity of Mayfly (Baetis) (g/m2 dry) to 15% change in tested parameters
616% - Peri High-Nut: Saturating Light (Ly/d)
432% - Peri High-Nut Resp. Rate, 20 deg C (g/g d)
430% - Peri High-Nut: Temp Response Slope
426% - Peri High-Nut: Maximum Temperature (deg. C)
400% - Peri High-Nut: FCrit, periphyton (newtons)
397% - Peri High-Nut: Pet in Riffle (if stream %)
380% - Peri High-Nut Pet. Lost Slough Event (percent)
364% - Peri High-Nut : Optimal Temperature (deg. C)
353% - Peri High-Nut: P Half-saturation (mg/L)
199% - Peri High-Nut: Max Photosynthetic Rate (1/d)
192% - Peri, Blue-Gre: Mortality Coefficient: (frac / d)
188% - Peri, Blue-Gre: Maximum Temperature (deg. C)
187% - Peri, Green: Exponential Mort. Coefficient: (max / d)
187% - Peri, Green: Mortality Coefficient: (frac / d)
0.2 0.4 0.6 0.8 1 1.2
Mayfly (Baetis) (g/m2 dry)
1.4
1.6
Figure B-21: Ohio Stream Chlorpyrifos, Mayfly Biomass.
72
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Sensitivity of Cynoscion (sea (g/m2 dry) to 33% change in tested parameters
2983% - Cynoscion (sea: (Allometric) CB
2866.5% - Cynoscion (sea: Optimal Temperature (deg. C)
2006.2% - Cynoscion (sea: (Allometric) CA
1414.9% - Cynoscion (sea Min. Salinity Tolerance, Ingestion (0/00)
1076.2% - Cynoscion (sea: Temperature Response Slope
730% - Cynoscion (sea: Mortality Coeff (1/d)
490% - Cynoscion (sea: Maximum Temperature (deg. C)
289% - Cynoscion (sea: (Allometric) RA
210% - Cynoscion (sea: Mean Weight (g)
187% - Cynoscion (sea: (Allometric) RB
162% - Cynoscion (sea: Specific Dynamic Action
153% - Cynoscion (sea Max. Salinity Tolerance, Ingestion (0/00)
144% - Cynoscion (sea Fishing Fraction (frac/d)
114% - Cynoscion (sea: Half Sat Feeding (mg/L)
0.02 0.04 0.06 0.08
Cynoscion (sea (g/m2 dry)
Figure B-22: Galveston Bay, TX, Sea Bass Biomass, 33% parameter test.
Sensitivity of Arius (catfish (g/m2 dry) to 33% change in tested parameters
372% - Arius (catfish Max. Salinity Tolerance, Ingestion (0/00)
238% - Arius (catfish: (Allometric) Cl
122% - Arius (catfish Max. Salinity Tolerance, Mortality (0/00)
104% - Arius (catfish: (Allometric) Rl
99.8% - Arius (catfish: Initial Condition ()
85.4% - Arius (catfish: Maximum Temperature (deg. C)
64.7% - Arius (catfish: (Allometric) CA
51.4% - Arius (catfish: (Allometric) ACT
51.4% - Arius (catfish: (Allometric) RA
32.1% - Fenaeus (Shrim Max. Salinity Tolerance, Ingestion (0/00)
31.1% - Arius (catfish Max. Salinity Tolerance, Respiration (0/00)
29.6% - Arius (catfish: Half Sat Feeding (mg/L)
26.7% - Arius (catfish: Optimal Temperature (deg. C)
25.2% - Fenaeus (Shrim Min. Salinity Tolerance, Ingestion (0/00)
0.05 0.1 0.15 0.2 0.25
Arius (catfish (g/m2 dry)
Figure B-23: Galveston Bay, TX, Catfish Biomass, 33% parameter test.
73
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Sensitivity of Penaeus (Shrim (mg/L dry) to 33% change in tested parameters
117% - Ftenaeus (Shrim Mn. Salinity Tolerance, Ingestion (0/00)
74.7% - Ostrea (oyster Sorting, selective feeding (unitless)
55.7% - Penaeus (Shrim: Maximum Temperature (deg. C)
49.8% - Ftenaeus (Shrim: Initial Condition (mg/L dry)
46.9% - Cynoscion (sea: (Allometric) CB
40.5% - Ftenaeus (Shrim: Max Consumption (g / g day)
36.8% - Ffenaeus (Shrim Max. Salinity Tolerance, Ingestion (0/00)
34% - Ostrea (oyster Max. Salinity Tolerance, Ingestion (0/00)
28.6% - Sciaenops (red: (Allometric) CB
27.9% - Ftenaeus (Shrim Fishing Fraction (frac/d)
25.7% - Ftenaeus (Shrim: Optimal Temperature (deg. C)
24.4% - Cynoscion (sm.: Optimal Temperature (deg. C)
23.9% - Cynoscion (sea: Optimal Temperature (deg. C)
21.6% - Ostrea (oyster Max. Salinity Tolerance, Gameteloss (0/00)
345
Penaeus (Shrim (mg/L dry)
Figure B-24: Galveston Bay, TX, Shrimp Biomass, 33% parameter test.
74
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Appendix C. Comprehensive List of Variables Tested for
Each Nominal-range Sensitivity Analysis
Lake Onondaga, NY:
Cyclotella nana: Saturating Light (Ly/d)
Greens: Saturating Light (Ly/d)
Phyt, Blue-Gre: Saturating Light (Ly/d)
Cryptomonad: Saturating Light (Ly/d)
Cyclotella nana: P Half-saturation (mg/L)
Greens: P Half-saturation (mg/L)
Phyt, Blue-Gre: P Half-saturation (mg/L)
Cryptomonad: P Half-saturation (mg/L)
Cyclotella nana: N Half-saturation (mg/L)
Greens: N Half-saturation (mg/L)
Phyt, Blue-Gre: N Half-saturation (mg/L)
Cryptomonad: N Half-saturation (mg/L)
Cyclotella nana: Inorg. C Half-saturation (mg/L)
Greens: Inorg. C Half-saturation (mg/L)
Phyt, Blue-Gre: Inorg. C Half -saturation (mg/L)
Cryptomonad: Inorg. C Half-saturation (mg/L)
Cyclotella nana: Temp Response Slope
Greens: Temp Response Slope
Phyt, Blue-Gre: Temp Response Slope
Cryptomonad: Temp Response Slope
Cyclotella nana: Optimal Temperature (deg. C)
Greens: Optimal Temperature (deg. C)
Phyt, Blue-Gre: Optimal Temperature (deg. C)
Cryptomonad: Optimal Temperature (deg. C)
Cyclotella nana: Maximum Temperature (deg. C)
Greens: Maximum Temperature (deg. C)
Phyt, Blue-Gre: Maximum Temperature (deg. C)
Phyt, Blue-Gre: N:Organics (ratio)
Cryptomonad: N:Organics (ratio)
Cyclotella nana: Light Extinction (1/m)
Greens: Light Extinction (1/m)
Phyt, Blue-Gre: Light Extinction (1/m)
Cryptomonad: Light Extinction (1/m)
Cyclotella nana: Sedimentation Rate (1/d)
Greens: Sedimentation Rate (1/d)
Phyt, Blue-Gre: Sedimentation Rate (1/d)
Cryptomonad: Sedimentation Rate (1/d)
Cyclotella nana: Exp Sedimentation Coeff
Greens: Exp Sedimentation Coeff
Phyt, Blue-Gre: Exp Sedimentation Coeff
Cryptomonad: Exp Sedimentation Coeff
Cyclotella nana: Pet in Riffle (if stream %)
Greens: Pet in Riffle (if stream %)
Cryptomonad: Maximum Temperature (deg. C)
Cyclotella nana: Min Adaptation Temperature (deg. C)
Greens: Min Adaptation Temperature (deg. C)
Phyt, Blue-Gre: Min Adaptation Temperature (deg. C)
Cryptomonad: Min Adaptation Temperature (deg. C)
Cyclotella nana: Max Photosynthetic Rate (1/d)
Greens: Max Photosynthetic Rate (1/d)
Phyt, Blue-Gre: Max Photosynthetic Rate (1/d)
Cryptomonad: Max Photosynthetic Rate (1/d)
Cyclotella nana: Photorespiration Coefficient (1/d)
Greens: Photorespiration Coefficient (1/d)
Phyt, Blue-Gre: Photorespiration Coefficient (1/d)
Cryptomonad: Photorespiration Coefficient (1/d)
Cyclotella nana: Mortality Coefficient: (frac / d)
Greens: Mortality Coefficient: (frac / d)
Phyt, Blue-Gre: Mortality Coefficient: (frac / d)
Cryptomonad: Mortality Coefficient: (frac / d)
Cyclotella nana: Exponential Mort. Coeffi: (max / d)
Greens: Exponential Mort. Coefficient: (max / d)
Phyt, Blue-Gre: Exponential Mort. Coeff.: (max / d)
Cryptomonad: Exponential Mort. Coefficient: (max / d)
Cyclotella nana: P:Organics (ratio)
Greens: P:Organics (ratio)
Phyt, Blue-Gre: P:Organics (ratio)
Cryptomonad: P:Organics (ratio)
Cyclotella nana: N:Organics (ratio)
Greens: N:Organics (ratio)
Cyclotella nana: Initial Condition (mg/L dry)
Greens: Initial Condition (mg/L dry)
Phyt, Blue-Gre: Initial Condition (mg/L dry)
Cryptomonad: Initial Condition (mg/L dry)
NH3 & NH4+: Const Load (mg/L)
NO3: Const Load (mg/L)
Tot. Sol. P: Const Load (mg/L)
TSS: Const Load (mg/L)
Cyclotella nana: Const Load (mg/L dry)
Greens: Const Load (mg/L dry)
Phyt, Blue-Gre: Const Load (mg/L dry)
Cryptomonad: Const Load (mg/L dry)
NH3 & NH4+: Multiply Loading by
NO3: Multiply Loading by
Tot. Sol. P: Multiply Loading by
TSS: Multiply Loading by
75
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Lake Onondaga, NY: Continued
Phyt, Blue-Gre: Pet in Riffle (if stream %)
Cryptomonad: Pet in Riffle (if stream %)
Cyclotella nana: Pet in Pool (if stream %)
Greens: Pet in Pool (if stream %)
Phyt, Blue-Gre: Pet in Pool (if stream %)
Cryptomonad: Pet in Pool (if stream %)
NH3 & NH4+: Initial Condition (mg/L)
NO3: Initial Condition (mg/L)
Tot. Sol. P: Initial Condition (mg/L)
TSS: Initial Condition (mg/L)
Susp&Diss Detr: Initial Condition (mg/L dry)
Susp&Diss Detr: Mult. Point Source Load by
NH3 & NH4+: Mult. Non-Point Source Load by
NO3: Mult. Non-Point Source Load by
Tot. Sol. P: Mult. Non-Point Source Load by
Susp&Diss Detr: Mult. Non-Point Source Load by
Cyclotella nana KSed Temp. (Estuary Only, deg C.)
Greens KSed Temp. (Estuary Only, deg C.)
Phyt, Blue-Gre KSed Temp. (Estuary Only, deg C.)
Cryptomonad KSed Temp. (Estuary Only, deg C.)
Cyclotella nana KSed Salinity (Estuary Only, o/oo)
Greens KSed Salinity (Estuary Only, o/oo)
Phyt, Blue-Gre KSed Salinity (Estuary Only, o/oo)
Cryptomonad KSed Salinity (Estuary Only, o/oo)
Cyclotella nana Mm. Salinity Tolerance, Photo. (0/00)
Greens Min. Salinity Tolerance, Photo. (0/00)
Phyt, Blue-Gre Min. Salinity Tolerance, Photo. (0/00)
Cryptomonad Min. Salinity Tolerance, Photo. (0/00)
Cyclotella nana Max. Salinity Tolerance, Photo. (0/00)
Greens Max. Salinity Tolerance, Photo. (0/00)
Phyt, Blue-Gre Max. Salinity Tolerance, Photo. (0/00)
Cryptomonad Max. Salinity Tolerance, Photo. (0/00)
Cyclotella nana Salinity Coeff! , Photo, (unitless)
Greens Salinity Coeff! , Photo, (unitless)
Phyt, Blue-Gre Salinity Coeffl, Photo, (unitless)
Cryptomonad Salinity Coeffl, Photo, (unitless)
Cyclotella nana Salinity Coeff2, Photo, (unitless)
Greens Salinity Coeff2, Photo, (unitless)
Greens Max. Sat. Light (Ly/d)
Phyt, Blue-Gre Max. Sat. Light (Ly/d)
Cryptomonad Max. Sat. Light (Ly/d)
Cyclotella nana Min. Sat. Light (Ly/d)
Greens Min. Sat. Light (Ly/d)
Phyt, Blue-Gre Min. Sat. Light (Ly/d)
Cryptomonad Min. Sat. Light (Ly/d)
Susp&Diss Detr: Pet. Partic. Loads, Const.
Susp&Diss Detr: Pet. Refr. Loads, Const.
Susp&Diss Detr: Pet. Particulate, Init. Cond
Susp&Diss Detr: Pet. Refractory, Init. Cond
Susp&Diss Detr: Multiply Loading by
Cyclotella nana: Multiply Loading by
Greens: Multiply Loading by
Phyt, Blue-Gre: Multiply Loading by
Cryptomonad: Multiply Loading by
NH3 & NH4+: Mult. Direct Precip. Load by
NO3: Mult. Direct Precip. Load by
Tot. Sol. P: Mult. Direct Precip. Load by
NH3 & NH4+: Mult. Point Source Load by
NO3: Mult. Point Source Load by
Tot. Sol. P: Mult. Point Source Load by
Phyt, Blue-Gre Salinity Coeff2, Photo, (unitless)
Cryptomonad Salinity Coeff2, Photo, (unitless)
Cyclotella nana Min. Salinity Tolerance, Mortality (0/00)
Greens Min. Salinity Tolerance, Mortality (0/00)
Phyt, Blue-Gre Min. Salinity Tolerance, Mortality (0/00)
Cryptomonad Min. Salinity Tolerance, Mortality (0/00)
Cyclotella nana Max. Salinity Tolerance, Mort. (0/00)
Greens Max. Salinity Tolerance, Mortality (0/00)
Phyt, Blue-Gre Max. Salinity Tolerance, Mort. (0/00)
Cryptomonad Max. Salinity Tolerance, Mortality (0/00)
Cyclotella nana Salinity Coeffl , Mortality (unitless)
Greens Salinity Coeffl , Mortality (unitless)
Phyt, Blue-Gre Salinity Coeffl , Mortality (unitless)
Cryptomonad Salinity Coeffl , Mortality (unitless)
Cyclotella nana Salinity Coeff2, Mortality (unitless)
Greens Salinity Coeff2, Mortality (unitless)
Phyt, Blue-Gre Salinity Coeff2, Mortality (unitless)
Cryptomonad Salinity Coeff2, Mortality (unitless)
Cyclotella nana Wet to Dry (ratio)
Greens Wet to Dry (ratio)
Phyt, Blue-Gre Wet to Dry (ratio)
Cryptomonad Wet to Dry (ratio)
Cyclotella nana Resp. Rate, 20 deg C (g/g d)
Greens Resp. Rate, 20 deg C (g/g d)
Phyt, Blue-Gre Resp. Rate, 20 deg C (g/g d)
Cryptomonad Resp. Rate, 20 deg C (g/g d)
Cyclotella nana Max. Sat. Light (Ly/d)
76
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Lake Onondaga NY, with Diagenesis:
ml (kg/L)
m2 (kg/L)
H1 (m)
Dd (m2/d)
w2 (m/d)
H2 (m)
KappaNHSf (m/d)
KappaNHSs (m/d)
KappaNOS 1f(m/d)
KappaNOS 1s (m/d)
KappaNOS 2 (m/d)
KappaCH4 (m/d)
KM NH3 (mgN/L)
KM O2 NH3 (mgO2/L)
KdNHS (L/kg)
KdPO42 (L/kg)
dKDPO41f (unitless)
dKDPO41s(unitless)
O2critPO4 (mgO2/L)
Theta for nitrification
Theta for denitrification
Theta for methane oxidation
SALTSW (ppt)
SALTND (ppt)
KappaH2Sd1 (m/d)
KappaH2Sp1 (m/d)
Theta for sulfide oxidation
KMHSO2 (mgO2/L)
KdH2S1 (L/kg)
KdH2S2 (L/kg)
kpon! (1/d)
kpon2 (1/d)
kponS (1/d)
kpod (1/d)
kpoc2 (1/d)
kpocS (1/d)
kpop! (1/d)
kpop2 (1/d)
kpopS (1/d)
Theta for G class 1 PON
Theta for G class 2 PON
Theta for G class 3 PON
Theta for G class 1 POC
Theta for G class 2 POC
Theta for G class 3 POC
Theta for G class 1 POP
Theta for G class 2 POP
Theta for G class 3 POP
kBEN STR(1/day)
Ksi (1/day)
77
-------
Cahaba River, AL: (Note, parameters listed as "Linked"
simultaneously)
were changed for periphyton and phytoplankton
Peri Low-Nut D: Saturating Light (Ly/d) * Linked *
Peri Hi-Nut Di: Saturating Light (Ly/d) * Linked *
Peri, Blue-Gre: Saturating Light (Ly/d) * Linked *
Cladophora: Saturating Light (Ly/d) * Linked *
Fontinalis a: Saturating Light (Ly/d)
Peri Low-Nut D: P Half -saturation (mg/L) * Linked *
Peri Hi-Nut Di: P Half-saturation (mg/L) * Linked *
Peri, Nitzschi: P Half-saturation (mg/L) * Linked *
Peri, Green wr: P Half-saturation (mg/L) * Linked *
Peri, Blue-Gre: P Half-saturation (mg/L) * Linked *
Cladophora: P Half-saturation (mg/L) * Linked *
Fontinalis a: P Half-saturation (mg/L)
Peri Low-Nut D: N Half-saturation (mg/L) * Linked *
Peri Hi-Nut Di: N Half-saturation (mg/L) * Linked *
Peri, Nitzschi: N Half -saturation (mg/L) * Linked *
Peri, Green wr: N Half-saturation (mg/L) * Linked *
Peri, Blue-Gre: N Half-saturation (mg/L) * Linked *
Cladophora: N Half-saturation (mg/L) * Linked *
Fontinalis a: N Half-saturation (mg/L)
Peri Low-Nut D: Inorg. C Half-saturation (mg/L) * Linked *
Peri Hi-Nut Di: Inorg. C Half-saturation (mg/L) * Linked *
Peri, Nitzschi: Inorg. C Half-saturation (mg/L) * Linked *
Peri, Green wr: Inorg. C Half-saturation (mg/L) * Linked *
Peri, Blue-Gre: Inorg. C Half-saturation (mg/L) * Linked *
Cladophora: Inorg. C Half-saturation (mg/L) * Linked *
Fontinalis a: Inorg. C Half-saturation (mg/L)
Peri Low-Nut D: Temp Response Slope * Linked *
Peri Hi-Nut Di: Temp Response Slope * Linked *
Peri, Nitzschi: Temp Response Slope * Linked *
Peri, Green wr: Temp Response Slope * Linked *
Peri, Blue-Gre: Temp Response Slope * Linked *
Cladophora: Temp Response Slope * Linked *
Fontinalis a: Temp Response Slope
Peri Low-Nut D: Optimal Temperature (deg. C) * Linked *
Peri Hi-Nut Di: Optimal Temperature (deg. C) * Linked *
Peri, Nitzschi: Optimal Temperature (deg. C) * Linked *
Peri, Green wr: Optimal Temperature (deg. C) * Linked *
Peri, Blue-Gre: Optimal Temperature (deg. C) * Linked *
Cladophora: Optimal Temperature (deg. C) * Linked *
Fontinalis a: Optimal Temperature (deg. C)
Cladophora: Maximum Temperature (deg. C) * Linked *
Fontinalis a: Maximum Temperature (deg. C)
Peri Low-Nut D: Min Adaptation Temperature (deg. C) * Linked *
Peri Hi-Nut Di: Min Adaptation Temperature (deg. C) * Linked *
Peri, Nitzschi: Min Adaptation Temperature (deg. C) * Linked *
Peri, Green wr: Min Adaptation Temperature (deg. C) * Linked *
Peri, Blue-Gre: Min Adaptation Temperature (deg. C) * Linked *
Cladophora: Min Adaptation Temperature (deg. C) * Linked *
Fontinalis a: Min Adaptation Temperature (deg. C)
Peri Low-Nut D: Max Photosynthetic Rate (1/d) * Linked *
Peri Hi-Nut Di: Max Photosynthetic Rate (1/d) * Linked *
Peri, Nitzschi: Max Photosynthetic Rate (1/d) * Linked *
Mussel: Initial Condition (g/m2 dry)
Riffle beetle,: Initial Condition (g/m2 dry)
Mayfly (Baetis: Initial Condition (g/m2 dry)
Gastropod: Initial Condition (g/m2 dry)
Copepod: Initial Condition (mg/L dry)
Stonefly: Initial Condition (g/m2 dry)
Shiner: Initial Condition (g/m2 dry)
Bluegill: Initial Condition (g/m2 dry)
Stoneroller: Initial Condition (g/m2 dry)
Smallmouth Bas: Initial Condition (g/m2 dry)
Smallmouth Ba2: Initial Condition (g/m2 dry)
NH3 & NH4+: Const Load (mg/L)
NO3: Const Load (mg/L)
Tot. Sol. P: Const Load (mg/L)
CO2: Const Load (mg/L)
Oxygen: Const Load (mg/L)
NO3: Multiply Loading by
Tot. Sol. P: Multiply Loading by
CO2: Multiply Loading by
Oxygen: Multiply Loading by
Susp&Diss Detr: Multiply Loading by
NH3 & NH4+: Multiply Loading by
Temp: Multiply Loading by
NH3 & NH4+: Mult. Non-Point Source Load by
NO3: Mult. Non-Point Source Load by
Tot. Sol. P: Mult. Non-Point Source Load by
Oxygen: Mult. Non-Point Source Load by
Susp&Diss Detr: Mult. Non-Point Source Load by
Crayfish Frac. in Water Col. (unitless)
Rotifer, Brach Frac. in Water Col. (unitless)
Chironomid Frac. in Water Col. (unitless)
Caddisfly.Tric Frac. in Water Col. (unitless)
Daphnia Frac. in Water Col. (unitless)
Corbicula Frac. in Water Col. (unitless)
Mussel Frac. in Water Col. (unitless)
Riffle beetle, Frac. in Water Col. (unitless)
Mayfly (Baetis Frac. in Water Col. (unitless)
Gastropod Frac. in Water Col. (unitless)
Copepod Frac. in Water Col. (unitless)
Stonefly Frac. in Water Col. (unitless)
Shiner Frac. in Water Col. (unitless)
Bluegill Frac. in Water Col. (unitless)
Stoneroller Frac. in Water Col. (unitless)
Smallmouth Bas Frac. in Water Col. (unitless)
Smallmouth Ba2 Frac. in Water Col. (unitless)
Crayfish Fishing Fraction (frac/d)
Rotifer, Brach Fishing Fraction (frac/d)
Chironomid Fishing Fraction (frac/d)
Caddisfly.Tric Fishing Fraction (frac/d)
Daphnia Fishing Fraction (frac/d)
Corbicula Fishing Fraction (frac/d)
Mussel Fishing Fraction (frac/d)
78
-------
Cahaba River, AL: Continued
Peri, Green wr: Max Photosynthetic Rate (1/d) * Linked *
Peri, Blue-Gre: Max Photosynthetic Rate (1/d) * Linked *
Cladophora: Max Photosynthetic Rate (1/d) * Linked *
Fontinalis a: Max Photosynthetic Rate (1/d)
Peri Low-Nut D: Photorespiration Coefficient (1/d) * Linked *
Peri Hi-Nut Di: Photorespiration Coefficient (1/d) * Linked *
Peri, Nitzschi: Photorespiration Coefficient (1/d) * Linked *
Peri, Green wr: Photorespiration Coefficient (1/d) * Linked *
Peri, Blue-Gre: Photorespiration Coefficient (1/d) * Linked *
Cladophora: Photorespiration Coefficient (1/d) * Linked *
Fontinalis a: Photorespiration Coefficient (1/d)
Peri Low-Nut D: Mortality Coefficient: (frac / d) * Linked *
Peri Hi-Nut Di: Mortality Coefficient: (frac / d) * Linked *
Peri, Nitzschi: Mortality Coefficient: (frac / d) * Linked *
Peri, Green wr: Mortality Coefficient: (frac / d) * Linked *
Peri, Blue-Gre: Mortality Coefficient: (frac / d) * Linked *
Cladophora: Mortality Coefficient: (frac / d) * Linked *
Fontinalis a: Mortality Coefficient: (frac / d)
Peri Low-Nut D: Exponential Mort. Coefficient: (max / d) * Linked *
Peri Hi-Nut Di: Exponential Mort. Coefficient: (max / d) * Linked *
Peri, Nitzschi: Exponential Mort. Coefficient: (max / d) * Linked *
Peri, Green wr: Exponential Mort. Coefficient: (max / d) * Linked *
Peri, Blue-Gre: Exponential Mort. Coefficient: (max / d) * Linked *
Cladophora: Exponential Mort. Coefficient: (max / d) * Linked *
Fontinalis a: Exponential Mort. Coefficient: (max / d)
Peri Low-Nut D: Light Extinction (1/m) * Linked *
Peri Hi-Nut Di: Light Extinction (1/m) * Linked *
Peri, Nitzschi: Light Extinction (1/m) * Linked *
Peri, Green wr: Light Extinction (1/m) * Linked *
Peri, Blue-Gre: Light Extinction (1/m) * Linked *
Cladophora: Light Extinction (1/m) * Linked *
Fontinalis a: Light Extinction (1/m)
Peri Low-Nut D: Carrying Capacity (g/m2) * Linked *
Peri Hi-Nut Di: Carrying Capacity (g/m2) * Linked *
Peri, Nitzschi: Carrying Capacity (g/m2) * Linked *
Peri, Green wr: Carrying Capacity (g/m2) * Linked *
Peri, Blue-Gre: Carrying Capacity (g/m2) * Linked *
Cladophora: Carrying Capacity (g/m2) * Linked *
Fontinalis a: Carrying Capacity (g/m2)
Fontinalis a: FCrit, periphyton (newtons)
Crayfish: Half Sat Feeding (mg/L)
Rotifer, Brach: Half Sat Feeding (mg/L)
Chironomid: Half Sat Feeding (mg/L)
Caddisfly.Tric: Half Sat Feeding (mg/L)
Daphnia: Half Sat Feeding (mg/L)
Corbicula: Half Sat Feeding (mg/L)
Riffle beetle,: Half Sat Feeding (mg/L)
Mayfly (Baetis: Half Sat Feeding (mg/L)
Gastropod: Half Sat Feeding (mg/L)
Copepod: Half Sat Feeding (mg/L)
Stonefly: Half Sat Feeding (mg/L)
Shiner: Half Sat Feeding (mg/L)
Riffle beetle, Fishing Fraction (frac/d)
Mayfly (Baetis Fishing Fraction (frac/d)
Gastropod Fishing Fraction (frac/d)
Copepod Fishing Fraction (frac/d)
Stonefly Fishing Fraction (frac/d)
Shiner Fishing Fraction (frac/d)
Bluegill Fishing Fraction (frac/d)
Stoneroller Fishing Fraction (frac/d)
Smallmouth Bas Fishing Fraction (frac/d)
Smallmouth Ba2 Fishing Fraction (frac/d)
Crayfish P to Organics (frac dry)
Rotifer, Brach P to Organics (frac dry)
Chironomid P to Organics (frac dry)
Caddisfly.Tric P to Organics (frac dry)
Daphnia P to Organics (frac dry)
Corbicula P to Organics (frac dry)
Mussel P to Organics (frac dry)
Riffle beetle, P to Organics (frac dry)
Mayfly (Baetis P to Organics (frac dry)
Gastropod P to Organics (frac dry)
Copepod P to Organics (frac dry)
Stonefly P to Organics (frac dry)
Shiner P to Organics (frac dry)
Bluegill P to Organics (frac dry)
Stoneroller P to Organics (frac dry)
Smallmouth Bas P to Organics (frac dry)
Smallmouth Ba2 P to Organics (frac dry)
Crayfish N to Organics (frac dry)
Rotifer, Brach N to Organics (frac dry)
Chironomid N to Organics (frac dry)
Caddisfly.Tric N to Organics (frac dry)
Daphnia N to Organics (frac dry)
Corbicula N to Organics (frac dry)
Mussel N to Organics (frac dry)
Riffle beetle, N to Organics (frac dry)
Mayfly (Baetis N to Organics (frac dry)
Gastropod N to Organics (frac dry)
Copepod N to Organics (frac dry)
Stonefly N to Organics (frac dry)
Shiner N to Organics (frac dry)
Bluegill N to Organics (frac dry)
Stoneroller N to Organics (frac dry)
Smallmouth Bas N to Organics (frac dry)
Smallmouth Ba2 N to Organics (frac dry)
Crayfish Wet to Dry (ratio)
Rotifer, Brach Wet to Dry (ratio)
Chironomid Wet to Dry (ratio)
Caddisfly.Tric Wet to Dry (ratio)
Daphnia Wet to Dry (ratio)
Corbicula Wet to Dry (ratio)
Mussel Wet to Dry (ratio)
Riffle beetle, Wet to Dry (ratio)
79
-------
Cahaba River, AL: Continued
Bluegill: Half Sat Feeding (mg/L)
Stoneroller: Half Sat Feeding (mg/L)
Smallmouth Bas: Half Sat Feeding (mg/L)
Smallmouth Ba2: Half Sat Feeding (mg/L)
Mussel: Half Sat Feeding (mg/L)
Crayfish: Max Consumption (g / g day)
Rotifer, Brach: Max Consumption (g / g day)
Chironomid: Max Consumption (g / g day)
Caddisfly.Tric: Max Consumption (g / g day)
Daphnia: Max Consumption (g / g day)
Corbicula: Max Consumption (g / g day)
Riffle beetle,: Max Consumption (g / g day)
Mayfly (Baetis: Max Consumption (g / g day)
Gastropod: Max Consumption (g / g day)
Copepod: Max Consumption (g / g day)
Stonefly: Max Consumption (g / g day)
Shiner: Max Consumption (g / g day)
Bluegill: Max Consumption (g / g day)
Stoneroller: Max Consumption (g / g day)
Smallmouth Bas: Max Consumption (g / g day)
Smallmouth Ba2: Max Consumption (g / g day)
Mussel: Max Consumption (g / g day)
Crayfish: Min Prey for Feeding
Rotifer, Brach: Min Prey for Feeding
Chironomid: Min Prey for Feeding
Caddisfly.Tric: Min Prey for Feeding
Daphnia: Min Prey for Feeding
Corbicula: Min Prey for Feeding
Riffle beetle,: Min Prey for Feeding
Mayfly (Baetis: Min Prey for Feeding
Gastropod: Min Prey for Feeding
Copepod: Min Prey for Feeding
Stonefly: Min Prey for Feeding
Shiner: Min Prey for Feeding
Bluegill: Min Prey for Feeding
Stoneroller: Min Prey for Feeding
Smallmouth Bas: Min Prey for Feeding
Smallmouth Ba2: Min Prey for Feeding
Mussel: Min Prey for Feeding
Crayfish: Temperature Response Slope
Rotifer, Brach: Temperature Response Slope
Chironomid: Temperature Response Slope
Caddisfly.Tric: Temperature Response Slope
Daphnia: Temperature Response Slope
Corbicula: Temperature Response Slope
Riffle beetle,: Temperature Response Slope
Mayfly (Baetis: Temperature Response Slope
Gastropod: Temperature Response Slope
Copepod: Temperature Response Slope
Stonefly: Temperature Response Slope
Shiner: Temperature Response Slope
Bluegill: Temperature Response Slope
Mayfly (Baetis Wet to Dry (ratio)
Gastropod Wet to Dry (ratio)
Copepod Wet to Dry (ratio)
Stonefly Wet to Dry (ratio)
Shiner Wet to Dry (ratio)
Bluegill Wet to Dry (ratio)
Stoneroller Wet to Dry (ratio)
Smallmouth Bas Wet to Dry (ratio)
Smallmouth Ba2 Wet to Dry (ratio)
Crayfish Oxygen Lethal Cone (mg/L 24 hr)
Rotifer, Brach Oxygen Lethal Cone (mg/L 24 hr)
Chironomid Oxygen Lethal Cone (mg/L 24 hr)
Caddisfly.Tric Oxygen Lethal Cone (mg/L 24 hr)
Daphnia Oxygen Lethal Cone (mg/L 24 hr)
Corbicula Oxygen Lethal Cone (mg/L 24 hr)
Mussel Oxygen Lethal Cone (mg/L 24 hr)
Riffle beetle, Oxygen Lethal Cone (mg/L 24 hr)
Mayfly (Baetis Oxygen Lethal Cone (mg/L 24 hr)
Gastropod Oxygen Lethal Cone (mg/L 24 hr)
Copepod Oxygen Lethal Cone (mg/L 24 hr)
Stonefly Oxygen Lethal Cone (mg/L 24 hr)
Shiner Oxygen Lethal Cone (mg/L 24 hr)
Bluegill Oxygen Lethal Cone (mg/L 24 hr)
Stoneroller Oxygen Lethal Cone (mg/L 24 hr)
Smallmouth Bas Oxygen Lethal Cone (mg/L 24 hr)
Smallmouth Ba2 Oxygen Lethal Cone (mg/L 24 hr)
Crayfish Oxygen Pet. Killed (Percent, 1-99)
Rotifer, Brach Oxygen Pet. Killed (Percent, 1-99)
Chironomid Oxygen Pet. Killed (Percent, 1-99)
Caddisfly.Tric Oxygen Pet. Killed (Percent, 1-99)
Daphnia Oxygen Pet. Killed (Percent, 1-99)
Corbicula Oxygen Pet. Killed (Percent, 1-99)
Mussel Oxygen Pet. Killed (Percent, 1-99)
Riffle beetle, Oxygen Pet. Killed (Percent, 1-99)
Mayfly (Baetis Oxygen Pet. Killed (Percent, 1-99)
Gastropod Oxygen Pet. Killed (Percent, 1-99)
Copepod Oxygen Pet. Killed (Percent, 1-99)
Stonefly Oxygen Pet. Killed (Percent, 1-99)
Shiner Oxygen Pet. Killed (Percent, 1-99)
Bluegill Oxygen Pet. Killed (Percent, 1-99)
Stoneroller Oxygen Pet. Killed (Percent, 1-99)
Smallmouth Bas Oxygen Pet. Killed (Percent, 1-99)
Smallmouth Ba2 Oxygen Pet. Killed (Percent, 1-99)
Crayfish Oxygen EC50 Growth (mg/L 24 hr)
Rotifer, Brach Oxygen EC50 Growth (mg/L 24 hr)
Chironomid Oxygen EC50 Growth (mg/L 24 hr)
Caddisfly.Tric Oxygen EC50 Growth (mg/L 24 hr)
Daphnia Oxygen EC50 Growth (mg/L 24 hr)
Corbicula Oxygen EC50 Growth (mg/L 24 hr)
Mussel Oxygen EC50 Growth (mg/L 24 hr)
Riffle beetle, Oxygen EC50 Growth (mg/L 24 hr)
Mayfly (Baetis Oxygen EC50 Growth (mg/L 24 hr)
80
-------
Cahaba River, AL: Continued
Stoneroller: Temperature Response Slope
Smallmouth Bas: Temperature Response Slope
Smallmouth Ba2: Temperature Response Slope
Mussel: Temperature Response Slope
Crayfish: Optimal Temperature (deg. C)
Rotifer, Brach: Optimal Temperature (deg. C)
Chironomid: Optimal Temperature (deg. C)
Caddisfly.Tric: Optimal Temperature (deg. C)
Daphnia: Optimal Temperature (deg. C)
Corbicula: Optimal Temperature (deg. C)
Riffle beetle,: Optimal Temperature (deg. C)
Mayfly (Baetis: Optimal Temperature (deg. C)
Gastropod: Optimal Temperature (deg. C)
Copepod: Optimal Temperature (deg. C)
Stonefly: Optimal Temperature (deg. C)
Shiner: Optimal Temperature (deg. C)
Bluegill: Optimal Temperature (deg. C)
Stoneroller: Optimal Temperature (deg. C)
Smallmouth Bas: Optimal Temperature (deg. C)
Smallmouth Ba2: Optimal Temperature (deg. C)
Mussel: Optimal Temperature (deg. C)
Crayfish: Maximum Temperature (deg. C)
Rotifer, Brach: Maximum Temperature (deg. C)
Chironomid: Maximum Temperature (deg. C)
Caddisfly.Tric: Maximum Temperature (deg. C)
Daphnia: Maximum Temperature (deg. C)
Corbicula: Maximum Temperature (deg. C)
Riffle beetle,: Maximum Temperature (deg. C)
Mayfly (Baetis: Maximum Temperature (deg. C)
Gastropod: Maximum Temperature (deg. C)
Copepod: Maximum Temperature (deg. C)
Stonefly: Maximum Temperature (deg. C)
Shiner: Maximum Temperature (deg. C)
Bluegill: Maximum Temperature (deg. C)
Stoneroller: Maximum Temperature (deg. C)
Smallmouth Bas: Maximum Temperature (deg. C)
Smallmouth Ba2: Maximum Temperature (deg. C)
Mussel: Maximum Temperature (deg. C)
Crayfish: Min Adaptation Temperature (deg. C)
Rotifer, Brach: Min Adaptation Temperature (deg. C)
Chironomid: Min Adaptation Temperature (deg. C)
Caddisfly.Tric: Min Adaptation Temperature (deg. C)
Daphnia: Min Adaptation Temperature (deg. C)
Corbicula: Min Adaptation Temperature (deg. C)
Riffle beetle,: Min Adaptation Temperature (deg. C)
Mayfly (Baetis: Min Adaptation Temperature (deg. C)
Gastropod: Min Adaptation Temperature (deg. C)
Copepod: Min Adaptation Temperature (deg. C)
Stonefly: Min Adaptation Temperature (deg. C)
Shiner: Min Adaptation Temperature (deg. C)
Bluegill: Min Adaptation Temperature (deg. C)
Stoneroller: Min Adaptation Temperature (deg. C)
Gastropod Oxygen EC50 Growth (mg/L 24 hr)
Copepod Oxygen EC50 Growth (mg/L 24 hr)
Stonefly Oxygen EC50 Growth (mg/L 24 hr)
Shiner Oxygen EC50 Growth (mg/L 24 hr)
Bluegill Oxygen EC50 Growth (mg/L 24 hr)
Stoneroller Oxygen EC50 Growth (mg/L 24 hr)
Smallmouth Bas Oxygen EC50 Growth (mg/L 24 hr)
Smallmouth Ba2 Oxygen EC50 Growth (mg/L 24 hr)
Crayfish Oxygen EC50 Repro (mg/L 24 hr)
Rotifer, Brach Oxygen EC50 Repro (mg/L 24 hr)
Chironomid Oxygen EC50 Repro (mg/L 24 hr)
Caddisfly.Tric Oxygen EC50 Repro (mg/L 24 hr)
Daphnia Oxygen EC50 Repro (mg/L 24 hr)
Corbicula Oxygen EC50 Repro (mg/L 24 hr)
Mussel Oxygen EC50 Repro (mg/L 24 hr)
Riffle beetle, Oxygen EC50 Repro (mg/L 24 hr)
Mayfly (Baetis Oxygen EC50 Repro (mg/L 24 hr)
Gastropod Oxygen EC50 Repro (mg/L 24 hr)
Copepod Oxygen EC50 Repro (mg/L 24 hr)
Stonefly Oxygen EC50 Repro (mg/L 24 hr)
Shiner Oxygen EC50 Repro (mg/L 24 hr)
Bluegill Oxygen EC50 Repro (mg/L 24 hr)
Stoneroller Oxygen EC50 Repro (mg/L 24 hr)
Smallmouth Bas Oxygen EC50 Repro (mg/L 24 hr)
Smallmouth Ba2 Oxygen EC50 Repro (mg/L 24 hr)
Crayfish Ammonia LC50 (mg/L)
Rotifer, Brach Ammonia LC50 (mg/L)
Chironomid Ammonia LC50 (mg/L)
Caddisfly.Tric Ammonia LC50 (mg/L)
Daphnia Ammonia LC50 (mg/L)
Corbicula Ammonia LC50 (mg/L)
Mussel Ammonia LC50 (mg/L)
Riffle beetle, Ammonia LC50 (mg/L)
Mayfly (Baetis Ammonia LC50 (mg/L)
Gastropod Ammonia LC50 (mg/L)
Copepod Ammonia LC50 (mg/L)
Stonefly Ammonia LC50 (mg/L)
Shiner Ammonia LC50 (mg/L)
Bluegill Ammonia LC50 (mg/L)
Stoneroller Ammonia LC50 (mg/L)
Smallmouth Bas Ammonia LC50 (mg/L)
Smallmouth Ba2 Ammonia LC50 (mg/L)
Crayfish Sorting, selective feeding (unitless)
Rotifer, Brach Sorting, selective feeding (unitless)
Chironomid Sorting, selective feeding (unitless)
Caddisfly.Tric Sorting, selective feeding (unitless)
Daphnia Sorting, selective feeding (unitless)
Corbicula Sorting, selective feeding (unitless)
Mussel Sorting, selective feeding (unitless)
Riffle beetle, Sorting, selective feeding (unitless)
Mayfly (Baetis Sorting, selective feeding (unitless)
Gastropod Sorting, selective feeding (unitless)
81
-------
Cahaba River, AL: Continued
Smallmouth Bas: Min Adaptation Temperature (deg. C)
Copepod Sorting, selective feeding (unitless)
Smallmouth Ba2: Min Adaptation Temperature (deg. C)
Stonefly Sorting, selective feeding (unitless)
Mussel: Min Adaptation Temperature (deg. C)
Shiner Sorting, selective feeding (unitless)
Crayfish: Respiration Rate: (1 /d)
Bluegill Sorting, selective feeding (unitless)
Rotifer, Brach: Respiration Rate: (1 / d)
Stoneroller Sorting, selective feeding (unitless)
Chironomid: Respiration Rate: (1 / d)
Smallmouth Bas Sorting, selective feeding (unitless)
Caddisfly.Tric: Respiration Rate: (1 / d)
Smallmouth Ba2 Sorting, selective feeding (unitless)
Daphnia: Respiration Rate: (1 / d)
Crayfish Slope for Sed Response (unitless)
Corbicula: Respiration Rate: (1 / d)
Rotifer, Brach Slope for Sed Response (unitless)
Mussel: Respiration Rate: (1 / d)
Chironomid Slope for Sed Response (unitless)
Riffle beetle,: Respiration Rate: (1 / d)
Caddisfly.Tric Slope for Sed Response (unitless)
Mayfly (Baetis: Respiration Rate: (1 / d)
Daphnia Slope for Sed Response (unitless)
Gastropod: Respiration Rate: (1 / d)
Corbicula Slope for Sed Response (unitless)
Copepod: Respiration Rate: (1 / d)
Mussel Slope for Sed Response (unitless)
Stonefly: Respiration Rate: (1 / d)
Riffle beetle, Slope for Sed Response (unitless)
Shiner: Respiration Rate: (1 / d)
Mayfly (Baetis Slope for Sed Response (unitless)
Bluegill: Respiration Rate: (1 / d)
Gastropod Slope for Sed Response (unitless)
Stoneroller: Respiration Rate: (1 / d)
Copepod Slope for Sed Response (unitless)
Smallmouth Bas: Respiration Rate: (1 / d)
Stonefly Slope for Sed Response (unitless)
Smallmouth Ba2: Respiration Rate: (1 / d)
Shiner Slope for Sed Response (unitless)
Crayfish: Specific Dynamic Action
Bluegill Slope for Sed Response (unitless)
Rotifer, Brach: Specific Dynamic Action
Stoneroller Slope for Sed Response (unitless)
Chironomid: Specific Dynamic Action
Smallmouth Bas Slope for Sed Response (unitless)
Caddisfly.Tric: Specific Dynamic Action
Smallmouth Ba2 Slope for Sed Response (unitless)
Daphnia: Specific Dynamic Action
Crayfish Intercept for Sed Response (unitless)
Corbicula: Specific Dynamic Action
Rotifer, Brach Intercept for Sed Response (unitless)
Mussel: Specific Dynamic Action
Chironomid Intercept for Sed Response (unitless)
Riffle beetle,: Specific Dynamic Action
Caddisfly.Tric Intercept for Sed Response (unitless)
Mayfly (Baetis: Specific Dynamic Action
Daphnia Intercept for Sed Response (unitless)
Gastropod: Specific Dynamic Action
Corbicula Intercept for Sed Response (unitless)
Copepod: Specific Dynamic Action
Mussel Intercept for Sed Response (unitless)
Stonefly: Specific Dynamic Action
Riffle beetle, Intercept for Sed Response (unitless)
Shiner: Specific Dynamic Action
Mayfly (Baetis Intercept for Sed Response (unitless)
Bluegill: Specific Dynamic Action
Gastropod Intercept for Sed Response (unitless)
Stoneroller: Specific Dynamic Action
Copepod Intercept for Sed Response (unitless)
Smallmouth Bas: Specific Dynamic Action
Stonefly Intercept for Sed Response (unitless)
Smallmouth Ba2: Specific Dynamic Action
Shiner Intercept for Sed Response (unitless)
Crayfish: Mortality Coeff (1/d)
Bluegill Intercept for Sed Response (unitless)
Rotifer, Brach: Mortality Coeff (1/d)
Stoneroller Intercept for Sed Response (unitless)
Chironomid: Mortality Coeff (1/d)
Smallmouth Bas Intercept for Sed Response (unitless)
Caddisfly.Tric: Mortality Coeff (1/d)
Smallmouth Ba2 Intercept for Sed Response (unitless)
Daphnia: Mortality Coeff (1/d)
Crayfish Trigger (dep. rate accel. drift in g/sq.m)
Corbicula: Mortality Coeff (1/d)
Rotifer, Brach Trigger (dep. rate accel. drift in g/sq.m)
Mussel: Mortality Coeff (1/d)
Chironomid Trigger (dep. rate accel. drift in g/sq.m)
Riffle beetle,: Mortality Coeff (1/d)
Caddisfly.Tric Trigger (dep. rate accel. drift in g/sq.m)
Mayfly (Baetis: Mortality Coeff (1/d)
Daphnia Trigger (dep. rate accel. drift in g/sq.m)
Gastropod: Mortality Coeff (1/d)
Corbicula Trigger (dep. rate accel. drift in g/sq.m)
Copepod: Mortality Coeff (1/d)
Mussel Trigger (dep. rate accel. drift in g/sq.m)
Stonefly: Mortality Coeff (1/d)
Riffle beetle, Trigger (dep. rate accel. drift in g/sq.m)
Shiner: Mortality Coeff (1/d)
Mayfly (Baetis Trigger (dep. rate accel. drift in g/sq.m)
Bluegill: Mortality Coeff (1/d)
Gastropod Trigger (dep. rate accel. drift in g/sq.m)
Stoneroller: Mortality Coeff (1/d)
Copepod Trigger (dep. rate accel. drift in g/sq.m)
82
-------
Cahaba River, AL: Continued
Smallmouth Bas: Mortality Coeff (1/d)
Stonefly Trigger (dep. rate accel. drift in g/sq.m)
Smallmouth Ba2: Mortality Coeff (1/d)
Shiner Trigger (dep. rate accel. drift in g/sq.m)
Crayfish: Carrying Capacity (g/sq.m)
Bluegill Trigger (dep. rate accel. drift in g/sq.m)
Rotifer, Brach: Carrying Capacity (g/sq.m)
Stoneroller Trigger (dep. rate accel. drift in g/sq.m)
Chironomid: Carrying Capacity (g/sq.m)
Smallmouth Bas Trigger (dep. rate accel. drift in g/sq.m)
Caddisfly.Tric: Carrying Capacity (g/sq.m)
Smallmouth Ba2 Trigger (dep. rate accel. drift in g/sq.m)
Daphnia: Carrying Capacity (g/sq.m)
Cladophora Min. Salinity Tolerance, Photo. (0/00) * Linked *
Corbicula: Carrying Capacity (g/sq.m)
Fontinalis a Min. Salinity Tolerance, Photo. (0/00)
Mussel: Carrying Capacity (g/sq.m)
Cladophora Max. Salinity Tolerance, Photo. (0/00) * Linked *
Riffle beetle,: Carrying Capacity (g/sq.m)
Fontinalis a Max. Salinity Tolerance, Photo. (0/00)
Mayfly (Baetis: Carrying Capacity (g/sq.m)
Cladophora Salinity Coeffl, Photo, (unitless) * Linked *
Gastropod: Carrying Capacity (g/sq.m)
Fontinalis a Salinity Coeffl, Photo, (unitless)
Copepod: Carrying Capacity (g/sq.m)
Cladophora Salinity Coeff2, Photo, (unitless) * Linked *
Stonefly: Carrying Capacity (g/sq.m)
Fontinalis a Salinity Coeff2, Photo, (unitless)
Shiner: Carrying Capacity (g/sq.m)
Cladophora Min. Salinity Tolerance, Mortality (0/00) * Linked '
Bluegill: Carrying Capacity (g/sq.m)
Fontinalis a Min. Salinity Tolerance, Mortality (0/00)
Stoneroller: Carrying Capacity (g/sq.m)
Cladophora Max. Salinity Tolerance, Mortality (0/00) 'Linked '
Smallmouth Bas: Carrying Capacity (g/sq.m)
Fontinalis a Max. Salinity Tolerance, Mortality (0/00)
Smallmouth Ba2: Carrying Capacity (g/sq.m)
Cladophora Salinity Coeffl, Mortality (unitless) * Linked *
Shiner: Mean Weight (g)
Fontinalis a Salinity Coeffl, Mortality (unitless)
Bluegill: Mean Weight (g)
Cladophora Salinity Coeff2, Mortality (unitless) * Linked *
Stoneroller: Mean Weight (g)
Fontinalis a Salinity Coeff2, Mortality (unitless)
Smallmouth Bas: Mean Weight (g)
Peri Low-Nut D Resp. Rate, 20 deg C (g/g d) * Linked '
Smallmouth Ba2: Mean Weight (g)
Peri Hi-Nut Pi Resp. Rate, 20 deg C (g/g d) * Linked *
Shiner: (Allometric) CA
Peri, Nitzschi Resp. Rate, 20 deg C (g/g d) * Linked *
Bluegill: (Allometric) CA
Peri, Green wr Resp. Rate, 20 deg C (g/g d) * Linked *
Stoneroller: (Allometric) CA
Peri, Blue-Gre Resp. Rate, 20 deg C (g/g d) * Linked *
Smallmouth Bas: (Allometric) CA
Cladophora Resp. Rate, 20 deg C (g/g d) * Linked *
Smallmouth Ba2: (Allometric) CA
Fontinalis a Resp. Rate, 20 deg C (g/g d)
Shiner: (Allometric) RA
Peri Low-Nut D Pet. Lost Slough Event (percent) * Linked *
Bluegill: (Allometric) RA
Peri Hi-Nut Pi Pet. Lost Slough Event (percent) * Linked '
Stoneroller: (Allometric) RA
Peri, Nitzschi Pet. Lost Slough Event (percent) * Linked *
Smallmouth Bas: (Allometric) RA
Peri, Green wr Pet. Lost Slough Event (percent) * Linked '
Smallmouth Ba2: (Allometric) RA
Peri, Blue-Gre Pet. Lost Slough Event (percent) * Linked '
Shiner: (Allometric) ACT
Cladophora Pet. Lost Slough Event (percent) * Linked *
Bluegill: (Allometric) ACT
Fontinalis a Pet. Lost Slough Event (percent)
Stoneroller: (Allometric) ACT
Peri Low-Nut D Max. Sat. Light (Ly/d) * Linked '
Smallmouth Bas: (Allometric) ACT
Peri Hi-Nut Pi Max. Sat. Light (Ly/d) * Linked '
Smallmouth Ba2: (Allometric) ACT
Peri, Nitzschi Max. Sat. Light (Ly/d) * Linked *
NH3 & NH4+: Initial Condition (mg/L)
Peri, Green wr Max. Sat. Light (Ly/d) * Linked '
NO3: Initial Condition (mg/L)
Peri, Blue-Gre Max. Sat. Light (Ly/d) * Linked '
Tot. Sol. P: Initial Condition (mg/L)
Cladophora Max. Sat. Light (Ly/d) * Linked *
CO2: Initial Condition (mg/L)
Fontinalis a Max. Sat. Light (Ly/d)
Oxygen: Initial Condition (mg/L)
Peri Low-Nut D Min. Sat. Light (Ly/d) * Linked '
Susp&Diss Detr: Initial Condition (mg/L dry)
Peri Hi-Nut Pi Min. Sat. Light (Ly/d) * Linked *
Cladophora: Initial Condition (g/m2 dry) * Linked '
Peri, Nitzschi Min. Sat. Light (Ly/d) * Linked *
Fontinalis a: Initial Condition (g/m2 dry)
Peri, Green wr Min. Sat. Light (Ly/d) * Linked '
Crayfish: Initial Condition (g/m2 dry)
Peri, Blue-Gre Min. Sat. Light (Ly/d) * Linked '
Rotifer, Brach: Initial Condition (mg/L dry)
Cladophora Min. Sat. Light (Ly/d) * Linked *
Chironomid: Initial Condition (g/m2 dry)
Fontinalis a Min. Sat. Light (Ly/d)
Caddisfly.Tric: Initial Condition (g/m2 dry)
Susp&Diss Detr: Pet. Partic. Loads, Const.
Daphnia: Initial Condition (mg/L dry)
Susp&Diss Detr: Pet. Refr. Loads, Const.
83
-------
Cahaba River, AL: Continued
Corbicula: Initial Condition (g/m2 dry)
Susp&Diss Detr: Pet. Particulate, Init. Cond
Susp&Diss Detr: Pet. Refractory, Init. Cond
84
-------
Duluth, MN Pond with Chlorpyrifos:
T1: Molecular Weight
T1 : Dissasociation Constant (pKa)
T1: Solubility (ppm)
T1 : Henry's Law Const, (atm. mA3/mol)
T1 : Vapor Pressure (mm Hg)
T1 : Octanol-Water Partition Coeff (Log Kow)
T1 : Sed/Detr-Water Partition Coeff (mg/L)
T1 : Activation Energy for Temp (cal/mol)
T1: Anaerobic Microbial Degrdn. (L/d)
T1: Aerobic Microbial Degrdn. (L/d)
T1 : Uncatalyzed Hydrolysis (L/d)
T1 : Acid Catalyzed Hydrolysis (L/d)
T1 : Base Catalyzed Hydrolysis (L/d)
T1 : Photolysis Rate (L/d)
T1 : Oxidation Rate Const (L/mol day)
T1 : Weibull Shape Parameter
T1 : Trout LC50 (ug/L)
T1 : Bluegill LC50 (ug/L)
T1 : Bass LC50 (ug/L)
T1 : Catfish LC50 (ug/L)
T1: Minnow LC50 (ug/L)
T1 : Daphnia LC50 (ug/L)
T1 : Chironomid LC50 (ug/L)
T1 : Stonefly LC50 (ug/L)
T1 : Ostracod LC50 (ug/L)
T1 : Amphipod LC50 (ug/L)
T1 : Other LC50 (ug/L)
T1: Trout Elim. Rate Constant (1/d)
T1: Bluegill Elim. Rate Constant (1/d)
T1: Bass Elim. Rate Constant (1/d)
T1: Catfish Elim. Rate Constant (1/d)
T1: Minnow Elim. Rate Constant (1/d)
T1: Daphnia Elim. Rate Constant (1/d)
T1: Chironomid Elim. Rate Constant (1/d)
T1: Stonefly Elim. Rate Constant (1/d)
T1: Ostracod Elim. Rate Constant (1/d)
T1: Amphipod Elim. Rate Constant (1/d)
T1 : Other Elim. Rate Constant (1/d)
T1: Trout Biotransformation Rate (1/d)
T1: Bluegill Biotransformation Rate (1/d)
T1: Bass Biotransformation Rate (1/d)
T1: Catfish Biotransformation Rate (1/d)
T1: Minnow Biotransformation Rate (1/d)
T1: Daphnia Biotransformation Rate (1/d)
T1: Chironomid Biotransformation Rate (1/d)
T1: Stonefly Biotransformation Rate (1/d)
T1: Ostracod Biotransformation Rate (1/d)
T1: Amphipod Biotransformation Rate (1/d)
T1: Other Biotransformation Rate (1/d)
T1 : Trout EC50 Growth (ug/L)
T1 : Bluegill EC50 Growth (ug/L)
T1 : Bass EC50 Growth (ug/L)
T1 : Catfish EC50 Growth (ug/L)
T1 : Minnow EC50 Growth (ug/L)
T1 : Daphnia EC50 Growth (ug/L)
T1 : Chironomid EC50 Growth (ug/L)
Shiner: (Allometric) RA
Green Sunfish2: (Allometric) RA
Green Sunfish,: (Allometric) RB
Shiner: (Allometric) RB
Green Sunfish2: (Allometric) RB
Green Sunfish,: (Allometric) ACT
Shiner: (Allometric) ACT
Green Sunfish2: (Allometric) ACT
T1: Initial Condition (ug/L)
Chironomid: Initial Condition (g/m2 dry)
Daphnia: Initial Condition (mg/L dry)
Green Sunfish,: Initial Condition (g/m2 dry)
Shiner: Initial Condition (g/m2 dry)
Green Sunfish2: Initial Condition (g/m2 dry)
TIChironomid: Initial Condition (ug/kg wet)
T1 Daphnia: Initial Condition (ug/kg wet)
TIGreen Sunfish,: Initial Condition (ug/kg wet)
TIShiner: Initial Condition (ug/kg wet)
TIGreen Sunfish2: Initial Condition (ug/kg wet)
T1 : Const Load (ug/L)
Chironomid: Const Load (g/m2 dry)
Daphnia: Const Load (mg/L dry)
Green Sunfish,: Const Load (g/m2 dry)
Shiner: Const Load (g/m2 dry)
Green Sunfish2: Const Load (g/m2 dry)
TIChironomid: Const Load (ug/kg wet)
T1 Daphnia: Const Load (ug/kg wet)
TIGreen Sunfish,: Const Load (ug/kg wet)
TIShiner: Const Load (ug/kg wet)
TIGreen Sunfish2: Const Load (ug/kg wet)
T1: Multiply Loading by
Chironomid: Multiply Loading by
Daphnia: Multiply Loading by
Green Sunfish,: Multiply Loading by
Shiner: Multiply Loading by
Green Sunfish2: Multiply Loading by
TIChironomid: Multiply Loading by
T1 Daphnia: Multiply Loading by
TIGreen Sunfish,: Multiply Loading by
TIShiner: Multiply Loading by
TIGreen Sunfish2: Multiply Loading by
T1 : Mult. Direct Precip. Load by
T1: Mult. Point Source Load by
T1: Mult. Non-Point Source Load by
T1 : Trout EC50 Dislodge (ug/L)
T1: Bluegill EC50 Dislodge (ug/L)
T1 : Bass EC50 Dislodge (ug/L)
T1 : Catfish EC50 Dislodge (ug/L)
T1: Minnow EC50 Dislodge (ug/L)
T1: Daphnia EC50 Dislodge (ug/L)
T1: Chironomid EC50 Dislodge (ug/L)
T1 : Stonefly EC50 Dislodge (ug/L)
T1 : Ostracod EC50 Dislodge (ug/L)
T1: Amphipod EC50 Dislodge (ug/L)
T1 : Other EC50 Dislodge (ug/L)
Chironomid Frac. in Water Col. (unitless)
85
-------
Duluth, MN Pond with Chlorpyrifos: Cont.
T1 : Stonefly EC50 Growth (ug/L)
T1 : Ostracod EC50 Growth (ug/L)
T1 : Amphipod EC50 Growth (ug/L)
T1 : Other EC50 Growth (ug/L)
T1 : Trout EC50 Repro (ug/L)
T1: Bluegill EC50 Repro (ug/L)
T1 : Bass EC50 Repro (ug/L)
T1 : Catfish EC50 Repro (ug/L)
T1 : Minnow EC50 Repro (ug/L)
T1: Daphnia EC50 Repro (ug/L)
T1 : Chironomid EC50 Repro (ug/L)
T1 : Stonefly EC50 Repro (ug/L)
T1 : Ostracod EC50 Repro (ug/L)
T1 : Amphipod EC50 Repro (ug/L)
T1 : Other EC50 Repro (ug/L)
T1: Trout Drift Threshold (ug/L)
T1 : Bluegill Drift Threshold (ug/L)
T1 : Bass Drift Threshold (ug/L)
T1 : Catfish Drift Threshold (ug/L)
T1 : Minnow Drift Threshold (ug/L)
T1 : Daphnia Drift Threshold (ug/L)
T1: Chironomid Drift Threshold (ug/L)
T1 : Stonefly Drift Threshold (ug/L)
T1 : Ostracod Drift Threshold (ug/L)
T1 : Amphipod Drift Threshold (ug/L)
T1 : Other Drift Threshold (ug/L)
T1 : Greens EC50 photo (ug/L)
T1 : Diatoms EC50 photo (ug/L)
T1 : Bluegreens EC50 photo (ug/L)
T1 : Macrophytes EC50 photo (ug/L)
T1 : Greens LC50 (ug/L)
T1 : Diatoms LC50 (ug/L)
T1 : Bluegreens LC50 (ug/L)
T1 : Macrophytes LC50 (ug/L)
T1 : Greens Elim. Rate Constant (1/d)
T1: Diatoms Elim. Rate Constant (1/d)
T1: Bluegreens Elim. Rate Constant (1/d)
T1: Macrophytes Elim. Rate Constant (1/d)
T1: Greens Biotransformation Rate (1/d)
T1: Diatoms Biotransformation Rate (1/d)
T1: Bluegreens Biotransformation Rate (1/d)
T1: Macrophytes Biotransformation Rate (1/d)
Chironomid: Half Sat Feeding (mg/L)
Daphnia: Half Sat Feeding (mg/L)
Green Sunfish,: Half Sat Feeding (mg/L)
Shiner: Half Sat Feeding (mg/L)
Green Sunfish2: Half Sat Feeding (mg/L)
Chironomid: Max Consumption (g / g day)
Daphnia: Max Consumption (g / g day)
Green Sunfish,: Max Consumption (g / g day)
Shiner: Max Consumption (g / g day)
Green Sunfish2: Max Consumption (g / g day)
Chironomid: Min Prey for Feeding
Daphnia: Min Prey for Feeding
Green Sunfish,: Min Prey for Feeding
Shiner: Min Prey for Feeding
Daphnia Frac. in Water Col. (unitless)
Green Sunfish, Frac. in Water Col. (unitless)
Shiner Frac. in Water Col. (unitless)
Green Sunfish2 Frac. in Water Col. (unitless)
Chironomid Min. Salinity Tolerance, Ingestion (0/00)
Daphnia Min. Salinity Tolerance, Ingestion (0/00)
Green Sunfish, Min. Salinity Tolerance, Ingestion (0/00)
Shiner Min. Salinity Tolerance, Ingestion (0/00)
Green Sunfish2 Min. Salinity Tolerance, Ingestion (0/00)
Chironomid Max. Salinity Tolerance, Ingestion (0/00)
Daphnia Max. Salinity Tolerance, Ingestion (0/00)
Green Sunfish, Max. Salinity Tolerance, Ingestion (0/00)
Shiner Max. Salinity Tolerance, Ingestion (0/00)
Green Sunfish2 Max. Salinity Tolerance, Ingestion (0/00)
Chironomid Salinity Coeffl, Ingestion (unitless)
Daphnia Salinity Coeffl, Ingestion (unitless)
Green Sunfish, Salinity Coeffl, Ingestion (unitless)
Shiner Salinity Coeffl, Ingestion (unitless)
Green Sunfish2 Salinity Coeffl, Ingestion (unitless)
Chironomid Salinity Coeff2, Ingestion (unitless)
Daphnia Salinity Coeff2, Ingestion (unitless)
Green Sunfish, Salinity Coeff2, Ingestion (unitless)
Shiner Salinity Coeff2, Ingestion (unitless)
Green Sunfish2 Salinity Coeff2, Ingestion (unitless)
Chironomid Min. Salinity Tolerance, Gameteloss (0/00)
Daphnia Min. Salinity Tolerance, Gameteloss (0/00)
Green Sunfish, Min. Salinity Tolerance, Gameteloss (0/00)
Shiner Min. Salinity Tolerance, Gameteloss (0/00)
Green Sunfish2 Min. Salinity Tolerance, Gameteloss (0/00)
Chironomid Max. Salinity Tolerance, Gameteloss (0/00)
Daphnia Max. Salinity Tolerance, Gameteloss (0/00)
Green Sunfish, Max. Salinity Tolerance, Gameteloss (0/00)
Shiner Max. Salinity Tolerance, Gameteloss (0/00)
Green Sunfish2 Max. Salinity Tolerance, Gameteloss (0/00)
Chironomid Salinity Coeffl, Gameteloss (unitless)
Daphnia Salinity Coeffl , Gameteloss (unitless)
Green Sunfish, Salinity Coeffl, Gameteloss (unitless)
Shiner Salinity Coeffl , Gameteloss (unitless)
Green Sunfish2 Salinity Coeffl, Gameteloss (unitless)
Chironomid Salinity Coeff2, Gameteloss (unitless)
Daphnia Salinity Coeff2, Gameteloss (unitless)
Green Sunfish, Salinity Coeff2, Gameteloss (unitless)
Shiner Salinity Coeff2, Gameteloss (unitless)
Green Sunfish2 Salinity Coeff2, Gameteloss (unitless)
Chironomid Min. Salinity Tolerance, Respiration (0/00)
Daphnia Min. Salinity Tolerance, Respiration (0/00)
Green Sunfish, Min. Salinity Tolerance, Respiration (0/00)
Shiner Min. Salinity Tolerance, Respiration (0/00)
Green Sunfish2 Min. Salinity Tolerance, Respiration (0/00)
Chironomid Max. Salinity Tolerance, Respiration (0/00)
Daphnia Max. Salinity Tolerance, Respiration (0/00)
Green Sunfish, Max. Salinity Tolerance, Respiration (0/00)
Shiner Max. Salinity Tolerance, Respiration (0/00)
Green Sunfish2 Max. Salinity Tolerance, Respiration (0/00)
Chironomid Salinity Coeffl, Respiration (unitless)
Daphnia Salinity Coeffl , Respiration (unitless)
86
-------
Duluth, MN Pond with Chlorpyrifos: Cont.
Green Sunfish2: Min Prey for Feeding
Chironomid: Temperature Response Slope
Daphnia: Temperature Response Slope
Green Sunfish,: Temperature Response Slope
Shiner: Temperature Response Slope
Green Sunfish2: Temperature Response Slope
Chironomid: Optimal Temperature (deg. C)
Daphnia: Optimal Temperature (deg. C)
Green Sunfish,: Optimal Temperature (deg. C)
Shiner: Optimal Temperature (deg. C)
Green Sunfish2: Optimal Temperature (deg. C)
Chironomid: Maximum Temperature (deg. C)
Daphnia: Maximum Temperature (deg. C)
Green Sunfish,: Maximum Temperature (deg. C)
Shiner: Maximum Temperature (deg. C)
Green Sunfish2: Maximum Temperature (deg. C)
Chironomid: Min Adaptation Temperature (deg. C)
Daphnia: Min Adaptation Temperature (deg. C)
Green Sunfish,: Min Adaptation Temperature (deg. C)
Shiner: Min Adaptation Temperature (deg. C)
Green Sunfish2: Min Adaptation Temperature (deg. C)
Chironomid: Respiration Rate: (1 / d)
Daphnia: Respiration Rate: (1 / d)
Green Sunfish,: Respiration Rate: (1 /d)
Shiner: Respiration Rate: (1 / d)
Green Sunfish2: Respiration Rate: (1 / d)
Chironomid: Specific Dynamic Action
Daphnia: Specific Dynamic Action
Green Sunfish,: Specific Dynamic Action
Shiner: Specific Dynamic Action
Green Sunfish2: Specific Dynamic Action
Chironomid: Excretion:Respiration (ratio)
Daphnia: Excretion:Respiration (ratio)
Green Sunfish,: Excretion:Respiration (ratio)
Shiner: Excretion:Respiration (ratio)
Green Sunfish2: Excretion:Respiration (ratio)
Chironomid: Gametes:Biomass (ratio)
Daphnia: Gametes:Biomass (ratio)
Green Sunfish,: Gametes:Biomass (ratio)
Shiner: Gametes:Biomass (ratio)
Green Sunfish2: Gametes:Biomass (ratio)
Chironomid: Gametes Mortality (1/d)
Daphnia: Gametes Mortality (1/d)
Green Sunfish,: Gametes Mortality (1/d)
Shiner: Gametes Mortality (1/d)
Green Sunfish2: Gametes Mortality (1/d)
Chironomid: Mortality Coeff (1/d)
Daphnia: Mortality Coeff (1/d)
Green Sunfish,: Mortality Coeff (1/d)
Shiner: Mortality Coeff (1/d)
Green Sunfish2: Mortality Coeff (1/d)
Chironomid: Carrying Capacity (g/sq.m)
Daphnia: Carrying Capacity (g/sq.m)
Green Sunfish,: Carrying Capacity (g/sq.m)
Shiner: Carrying Capacity (g/sq.m)
Green Sunfish2: Carrying Capacity (g/sq.m)
Green Sunfish, Salinity Coeffl, Respiration (unitless)
Shiner Salinity Coeffl , Respiration (unitless)
Green Sunfish2 Salinity Coeffl, Respiration (unitless)
Chironomid Salinity Coeff2, Respiration (unitless)
Daphnia Salinity Coeff2, Respiration (unitless)
Green Sunfish, Salinity Coeff2, Respiration (unitless)
Shiner Salinity Coeff2, Respiration (unitless)
Green Sunfish2 Salinity Coeff2, Respiration (unitless)
Chironomid Min. Salinity Tolerance, Mortality (0/00)
Daphnia Min. Salinity Tolerance, Mortality (0/00)
Green Sunfish, Min. Salinity Tolerance, Mortality (0/00)
Shiner Min. Salinity Tolerance, Mortality (0/00)
Green Sunfish2 Min. Salinity Tolerance, Mortality (0/00)
Chironomid Max. Salinity Tolerance, Mortality (0/00)
Daphnia Max. Salinity Tolerance, Mortality (0/00)
Green Sunfish, Max. Salinity Tolerance, Mortality (0/00)
Shiner Max. Salinity Tolerance, Mortality (0/00)
Green Sunfish2 Max. Salinity Tolerance, Mortality (0/00)
Chironomid Salinity Coeffl, Mortality (unitless)
Daphnia Salinity Coeffl , Mortality (unitless)
Green Sunfish, Salinity Coeffl, Mortality (unitless)
Shiner Salinity Coeffl , Mortality (unitless)
Green Sunfish2 Salinity Coeffl, Mortality (unitless)
Chironomid Salinity Coeff2, Mortality (unitless)
Daphnia Salinity Coeff2, Mortality (unitless)
Green Sunfish, Salinity Coeff2, Mortality (unitless)
Shiner Salinity Coeff2, Mortality (unitless)
Green Sunfish2 Salinity Coeff2, Mortality (unitless)
Chironomid Fishing Fraction (frac/d)
Daphnia Fishing Fraction (frac/d)
Green Sunfish, Fishing Fraction (frac/d)
Shiner Fishing Fraction (frac/d)
Green Sunfish2 Fishing Fraction (frac/d)
Chironomid P to Organics (frac dry)
Daphnia P to Organics (frac dry)
Green Sunfish, P to Organics (frac dry)
Shiner P to Organics (frac dry)
Green Sunfish2 P to Organics (frac dry)
Chironomid N to Organics (frac dry)
Daphnia N to Organics (frac dry)
Green Sunfish, N to Organics (frac dry)
Shiner N to Organics (frac dry)
Green Sunfish2 N to Organics (frac dry)
Chironomid Wet to Dry (ratio)
Daphnia Wet to Dry (ratio)
Green Sunfish, Wet to Dry (ratio)
Shiner Wet to Dry (ratio)
Green Sunfish2 Wet to Dry (ratio)
Chironomid Oxygen Lethal Cone (mg/L 24 hr)
Daphnia Oxygen Lethal Cone (mg/L 24 hr)
Green Sunfish, Oxygen Lethal Cone (mg/L 24 hr)
Shiner Oxygen Lethal Cone (mg/L 24 hr)
Green Sunfish2 Oxygen Lethal Cone (mg/L 24 hr)
Chironomid Oxygen Pet. Killed (Percent, 1-99)
Daphnia Oxygen Pet. Killed (Percent, 1-99)
Green Sunfish, Oxygen Pet. Killed (Percent, 1-99)
87
-------
Duluth, MN Pond with Chlorpyrifos: Cont.
Chironomid: Average Drift (frac/day)
Daphnia: Average Drift (frac/day)
Green Sunfish,: Average Drift (frac/day)
Shiner: Average Drift (frac/day)
Green Sunfish2: Average Drift (frac/day)
Chironomid: VelMax (cm/s)
Daphnia: VelMax (cm/s)
Green Sunfish,: VelMax (cm/s)
Shiner: VelMax (cm/s)
Green Sunfish2: VelMax (cm/s)
Chironomid: Mean Lifespan (days)
Daphnia: Mean Lifespan (days)
Green Sunfish,: Mean Lifespan (days)
Shiner: Mean Lifespan (days)
Green Sunfish2: Mean Lifespan (days)
Chironomid: Initial Fraction Lipid (wet wt.)
Daphnia: Initial Fraction Lipid (wet wt.)
Green Sunfish,: Initial Fraction Lipid (wet wt.)
Shiner: Initial Fraction Lipid (wet wt.)
Green Sunfish2: Initial Fraction Lipid (wet wt.)
Chironomid: Mean Weight (g)
Daphnia: Mean Weight (g)
Green Sunfish,: Mean Weight (g)
Shiner: Mean Weight (g)
Green Sunfish2: Mean Weight (g)
Chironomid: Pet in Riffle (if stream %)
Daphnia: Pet in Riffle (if stream %)
Green Sunfish,: Pet in Riffle (if stream %)
Shiner: Pet in Riffle (if stream %)
Green Sunfish2: Pet in Riffle (if stream %)
Chironomid: Pet in Pool (if stream %)
Daphnia: Pet in Pool (if stream %)
Green Sunfish,: Pet in Pool (if stream %)
Shiner: Pet in Pool (if stream %)
Green Sunfish2: Pet in Pool (if stream %)
Green Sunfish,: (Allometric) CA
Shiner: (Allometric) CA
Green Sunfish2: (Allometric) CA
Green Sunfish,: (Allometric) CB
Shiner: (Allometric) CB
Green Sunfish2: (Allometric) CB
Green Sunfish,: (Allometric) RA
Shiner Oxygen Pet. Killed (Percent, 1-99)
Green Sunfish2 Oxygen Pet. Killed (Percent, 1-99)
Chironomid Oxygen EC50 Growth (mg/L 24 hr)
Daphnia Oxygen EC50 Growth (mg/L 24 hr)
Green Sunfish, Oxygen EC50 Growth (mg/L 24 hr)
Shiner Oxygen EC50 Growth (mg/L 24 hr)
Green Sunfish2 Oxygen EC50 Growth (mg/L 24 hr)
Chironomid Oxygen EC50 Repro (mg/L 24 hr)
Daphnia Oxygen EC50 Repro (mg/L 24 hr)
Green Sunfish, Oxygen EC50 Repro (mg/L 24 hr)
Shiner Oxygen EC50 Repro (mg/L 24 hr)
Green Sunfish2 Oxygen EC50 Repro (mg/L 24 hr)
Chironomid Ammonia LC50 (mg/L)
Daphnia Ammonia LC50 (mg/L)
Green Sunfish, Ammonia LC50 (mg/L)
Shiner Ammonia LC50 (mg/L)
Green Sunfish2 Ammonia LC50 (mg/L)
Chironomid Sorting, selective feeding (unitless)
Daphnia Sorting, selective feeding (unitless)
Green Sunfish, Sorting, selective feeding (unitless)
Shiner Sorting, selective feeding (unitless)
Green Sunfish2 Sorting, selective feeding (unitless)
Chironomid Slope for Sed Response (unitless)
Daphnia Slope for Sed Response (unitless)
Green Sunfish, Slope for Sed Response (unitless)
Shiner Slope for Sed Response (unitless)
Green Sunfish2 Slope for Sed Response (unitless)
Chironomid Intercept for Sed Response (unitless)
Daphnia Intercept for Sed Response (unitless)
Green Sunfish, Intercept for Sed Response (unitless)
Shiner Intercept for Sed Response (unitless)
Green Sunfish2 Intercept for Sed Response (unitless)
Chironomid Trigger (dep. rate accel. drift in g/sq.m)
Daphnia Trigger (dep. rate accel. drift in g/sq.m)
Green Sunfish, Trigger (dep. rate accel. drift in g/sq.m)
Shiner Trigger (dep. rate accel. drift in g/sq.m)
Green Sunfish2 Trigger (dep. rate accel. drift in g/sq.m)
Chironomid Pet. Embedded Threshold
Green Sunfish, Pet. Embedded Threshold
Shiner Pet. Embedded Threshold
Green Sunfish2 Pet. Embedded Threshold
-------
Galveston Bay, TX:
T1 : Molecular Weight
T1 : Dissasociation Constant (pKa)
T1: Solubility (ppm)
T1 : Henry's Law Const, (atm. mA3/mol)
T1 : Vapor Pressure (mm Hg)
T1 : Octanol-Water Partition Coeff (Log Kow)
T1 : Sed/Detr-Water Partition Coeff (mg/L)
T1 : Activation Energy for Temp (cal/mol)
T1: Anaerobic Microbial Degrdn. (L/d)
T1: Aerobic Microbial Degrdn. (L/d)
T1 : Uncatalyzed Hydrolysis (L/d)
T1 : Acid Catalyzed Hydrolysis (L/d)
T1 : Base Catalyzed Hydrolysis (L/d)
T1 : Photolysis Rate (L/d)
T1 : Oxidation Rate Const (L/mol day)
T1 : Weibull Shape Parameter
Mulinia: Half Sat Feeding (mg/L)
Ostrea (oyster: Half Sat Feeding (mg/L)
Acteocina (gas: Half Sat Feeding (mg/L)
Oyster Drill: Half Sat Feeding (mg/L)
Penaeus (Shrim: Half Sat Feeding (mg/L)
Callinectes (C: Half Sat Feeding (mg/L)
Anchoa (anchov: Half Sat Feeding (mg/L)
Brevoortia (me: Half Sat Feeding (mg/L)
Micropogonias : Half Sat Feeding (mg/L)
Mugil (mullet): Half Sat Feeding (mg/L)
Sciaenops (red: Half Sat Feeding (mg/L)
Arius (catfish: Half Sat Feeding (mg/L)
Cynoscion (sm.: Half Sat Feeding (mg/L)
Cynoscion (sea: Half Sat Feeding (mg/L)
Mulinia: Max Consumption (g / g day)
Ostrea (oyster: Max Consumption (g / g day)
Acteocina (gas: Max Consumption (g / g day)
Oyster Drill: Max Consumption (g / g day)
Penaeus (Shrim: Max Consumption (g / g day)
Callinectes (C: Max Consumption (g / g day)
Anchoa (anchov: Max Consumption (g / g day)
Brevoortia (me: Max Consumption (g / g day)
Micropogonias : Max Consumption (g / g day)
Mugil (mullet): Max Consumption (g / g day)
Sciaenops (red: Max Consumption (g / g day)
Arius (catfish: Max Consumption (g / g day)
Cynoscion (sm.: Max Consumption (g / g day)
Cynoscion (sea: Max Consumption (g / g day)
Mulinia: Min Prey for Feeding
Ostrea (oyster: Min Prey for Feeding
Acteocina (gas: Min Prey for Feeding
Oyster Drill: Min Prey for Feeding
Penaeus (Shrim: Min Prey for Feeding
Callinectes (C: Min Prey for Feeding
Anchoa (anchov: Min Prey for Feeding
Brevoortia (me: Min Prey for Feeding
Micropogonias : Min Prey for Feeding
T1 Cynoscion (sea: Multiply Loading by
T1 : Mult. Direct Precip. Load by
T1 : Mult. Point Source Load by
Susp&Diss Detr: Mult. Point Source Load by
T1: Mult. Non-Point Source Load by
Susp&Diss Detr: Mult. Non-Point Source Load by
Mulinia Frac. in Water Col. (unitless)
Ostrea (oyster Frac. in Water Col. (unitless)
Acteocina (gas Frac. in Water Col. (unitless)
Oyster Drill Frac. in Water Col. (unitless)
Penaeus (Shrim Frac. in Water Col. (unitless)
Callinectes (C Frac. in Water Col. (unitless)
Anchoa (anchov Frac. in Water Col. (unitless)
Brevoortia (me Frac. in Water Col. (unitless)
Micropogonias Frac. in Water Col. (unitless)
Mugil (mullet) Frac. in Water Col. (unitless)
Sciaenops (red Frac. in Water Col. (unitless)
Arius (catfish Frac. in Water Col. (unitless)
Cynoscion (sm. Frac. in Water Col. (unitless)
Cynoscion (sea Frac. in Water Col. (unitless)
Mulinia Min. Salinity Tolerance, Ingestion (0/00)
Ostrea (oyster Min. Salinity Tolerance, Ingestion (0/00)
Acteocina (gas Min. Salinity Tolerance, Ingestion (0/00)
Oyster Drill Min. Salinity Tolerance, Ingestion (0/00)
Penaeus (Shrim Min. Salinity Tolerance, Ingestion (0/00)
Callinectes (C Min. Salinity Tolerance, Ingestion (0/00)
Anchoa (anchov Min. Salinity Tolerance, Ingestion (0/00)
Brevoortia (me Min. Salinity Tolerance, Ingestion (0/00)
Micropogonias Min. Salinity Tolerance, Ingestion (0/00)
Mugil (mullet) Min. Salinity Tolerance, Ingestion (0/00)
Sciaenops (red Min. Salinity Tolerance, Ingestion (0/00)
Arius (catfish Min. Salinity Tolerance, Ingestion (0/00)
Cynoscion (sm. Min. Salinity Tolerance, Ingestion (0/00)
Cynoscion (sea Min. Salinity Tolerance, Ingestion (0/00)
Mulinia Max. Salinity Tolerance, Ingestion (0/00)
Ostrea (oyster Max. Salinity Tolerance, Ingestion (0/00)
Acteocina (gas Max. Salinity Tolerance, Ingestion (0/00)
Oyster Drill Max. Salinity Tolerance, Ingestion (0/00)
Penaeus (Shrim Max. Salinity Tolerance, Ingestion (0/00)
Callinectes (C Max. Salinity Tolerance, Ingestion (0/00)
Anchoa (anchov Max. Salinity Tolerance, Ingestion (0/00)
Brevoortia (me Max. Salinity Tolerance, Ingestion (0/00)
Micropogonias Max. Salinity Tolerance, Ingestion (0/00)
Mugil (mullet) Max. Salinity Tolerance, Ingestion (0/00)
Sciaenops (red Max. Salinity Tolerance, Ingestion (0/00)
Arius (catfish Max. Salinity Tolerance, Ingestion (0/00)
Cynoscion (sm. Max. Salinity Tolerance, Ingestion (0/00)
Cynoscion (sea Max. Salinity Tolerance, Ingestion (0/00)
Mulinia Salinity Coeffl, Ingestion (unitless)
Ostrea (oyster Salinity Coeffl , Ingestion (unitless)
Acteocina (gas Salinity Coeffl , Ingestion (unitless)
Oyster Drill Salinity Coeffl, Ingestion (unitless)
Penaeus (Shrim Salinity Coeffl, Ingestion (unitless)
89
-------
Galveston Bay, TX: Continued
Mugil (mullet): Min Prey for Feeding
Sciaenops (red: Min Prey for Feeding
Arius (catfish: Min Prey for Feeding
Cynoscion (sm.: Min Prey for Feeding
Cynoscion (sea: Min Prey for Feeding
Mulinia: Temperature Response Slope
Ostrea (oyster: Temperature Response Slope
Acteocina (gas: Temperature Response Slope
Oyster Drill: Temperature Response Slope
Penaeus (Shrim: Temperature Response Slope
Callinectes (C: Temperature Response Slope
Anchoa (anchov: Temperature Response Slope
Brevoortia (me: Temperature Response Slope
Micropogonias : Temperature Response Slope
Mugil (mullet): Temperature Response Slope
Sciaenops (red: Temperature Response Slope
Arius (catfish: Temperature Response Slope
Cynoscion (sm.: Temperature Response Slope
Cynoscion (sea: Temperature Response Slope
Mulinia: Optimal Temperature (deg. C)
Ostrea (oyster: Optimal Temperature (deg. C)
Acteocina (gas: Optimal Temperature (deg. C)
Oyster Drill: Optimal Temperature (deg. C)
Penaeus (Shrim: Optimal Temperature (deg. C)
Callinectes (C: Optimal Temperature (deg. C)
Anchoa (anchov: Optimal Temperature (deg. C)
Brevoortia (me: Optimal Temperature (deg. C)
Micropogonias : Optimal Temperature (deg. C)
Mugil (mullet): Optimal Temperature (deg. C)
Sciaenops (red: Optimal Temperature (deg. C)
Arius (catfish: Optimal Temperature (deg. C)
Cynoscion (sm.: Optimal Temperature (deg. C)
Cynoscion (sea: Optimal Temperature (deg. C)
Mulinia: Maximum Temperature (deg. C)
Ostrea (oyster: Maximum Temperature (deg. C)
Acteocina (gas: Maximum Temperature (deg. C)
Oyster Drill: Maximum Temperature (deg. C)
Penaeus (Shrim: Maximum Temperature (deg. C)
Callinectes (C: Maximum Temperature (deg. C)
Anchoa (anchov: Maximum Temperature (deg. C)
Brevoortia (me: Maximum Temperature (deg. C)
Micropogonias : Maximum Temperature (deg. C)
Mugil (mullet): Maximum Temperature (deg. C)
Sciaenops (red: Maximum Temperature (deg. C)
Arius (catfish: Maximum Temperature (deg. C)
Cynoscion (sm.: Maximum Temperature (deg. C)
Cynoscion (sea: Maximum Temperature (deg. C)
Mulinia: Min Adaptation Temperature (deg. C)
Ostrea (oyster: Min Adaptation Temperature (deg. C)
Acteocina (gas: Min Adaptation Temperature (deg. C)
Oyster Drill: Min Adaptation Temperature (deg. C)
Penaeus (Shrim: Min Adaptation Temperature (deg. C)
Callinectes (C: Min Adaptation Temperature (deg. C)
Callinectes (C Salinity Coeff! , Ingestion (unitless)
Anchoa (anchov Salinity Coeffl, Ingestion (unitless)
Brevoortia (me Salinity Coeffl, Ingestion (unitless)
Micropogonias Salinity Coeffl , Ingestion (unitless)
Mugil (mullet) Salinity Coeffl, Ingestion (unitless)
Sciaenops (red Salinity Coeffl, Ingestion (unitless)
Arius (catfish Salinity Coeffl, Ingestion (unitless)
Cynoscion (sm. Salinity Coeffl, Ingestion (unitless)
Cynoscion (sea Salinity Coeffl , Ingestion (unitless)
Mulinia Salinity Coeff2, Ingestion (unitless)
Ostrea (oyster Salinity Coeff2, Ingestion (unitless)
Acteocina (gas Salinity Coeff2, Ingestion (unitless)
Oyster Drill Salinity Coeff2, Ingestion (unitless)
Penaeus (Shrim Salinity Coeff2, Ingestion (unitless)
Callinectes (C Salinity Coeff2, Ingestion (unitless)
Anchoa (anchov Salinity Coeff2, Ingestion (unitless)
Brevoortia (me Salinity Coeff2, Ingestion (unitless)
Micropogonias Salinity Coeff2, Ingestion (unitless)
Mugil (mullet) Salinity Coeff2, Ingestion (unitless)
Sciaenops (red Salinity Coeff2, Ingestion (unitless)
Arius (catfish Salinity Coeff2, Ingestion (unitless)
Cynoscion (sm. Salinity Coeff2, Ingestion (unitless)
Cynoscion (sea Salinity Coeff2, Ingestion (unitless)
Mulinia Min. Salinity Tolerance, Gameteloss (0/00)
Ostrea (oyster Min. Salinity Tolerance, Gameteloss (0/00)
Acteocina (gas Min. Salinity Tolerance, Gameteloss (0/00)
Oyster Drill Min. Salinity Tolerance, Gameteloss (0/00)
Penaeus (Shrim Min. Salinity Tolerance, Gameteloss (0/00)
Callinectes (C Min. Salinity Tolerance, Gameteloss (0/00)
Anchoa (anchov Min. Salinity Tolerance, Gameteloss (0/00)
Brevoortia (me Min. Salinity Tolerance, Gameteloss (0/00)
Micropogonias Min. Salinity Tolerance, Gameteloss (0/00)
Mugil (mullet) Min. Salinity Tolerance, Gameteloss (0/00)
Sciaenops (red Min. Salinity Tolerance, Gameteloss (0/00)
Arius (catfish Min. Salinity Tolerance, Gameteloss (0/00)
Cynoscion (sm. Min. Salinity Tolerance, Gameteloss (0/00)
Cynoscion (sea Min. Salinity Tolerance, Gameteloss (0/00)
Mulinia Max. Salinity Tolerance, Gameteloss (0/00)
Ostrea (oyster Max. Salinity Tolerance, Gameteloss (0/00)
Acteocina (gas Max. Salinity Tolerance, Gameteloss (0/00)
Oyster Drill Max. Salinity Tolerance, Gameteloss (0/00)
Penaeus (Shrim Max. Salinity Tolerance, Gameteloss (0/00)
Callinectes (C Max. Salinity Tolerance, Gameteloss (0/00)
Anchoa (anchov Max. Salinity Tolerance, Gameteloss (0/00)
Brevoortia (me Max. Salinity Tolerance, Gameteloss (0/00)
Micropogonias Max. Salinity Tolerance, Gameteloss (0/00)
Mugil (mullet) Max. Salinity Tolerance, Gameteloss (0/00)
Sciaenops (red Max. Salinity Tolerance, Gameteloss (0/00)
Arius (catfish Max. Salinity Tolerance, Gameteloss (0/00)
Cynoscion (sm. Max. Salinity Tolerance, Gameteloss (0/00)
Cynoscion (sea Max. Salinity Tolerance, Gameteloss (0/00)
Mulinia Salinity Coeffl, Gameteloss (unitless)
Ostrea (oyster Salinity Coeffl , Gameteloss (unitless)
90
-------
Galveston Bay, TX: Continued
Anchoa (anchov: Min Adaptation Temperature (deg. C)
Brevoortia (me: Min Adaptation Temperature (deg. C)
Micropogonias : Min Adaptation Temperature (deg. C)
Mugil (mullet): Min Adaptation Temperature (deg. C)
Sciaenops (red: Min Adaptation Temperature (deg. C)
Arius (catfish: Min Adaptation Temperature (deg. C)
Cynoscion (sm.: Min Adaptation Temperature (deg. C)
Cynoscion (sea: Min Adaptation Temperature (deg. C)
Mulinia: Respiration Rate: (1 / d)
Ostrea (oyster: Respiration Rate: (1 / d)
Acteocina (gas: Respiration Rate: (1 / d)
Oyster Drill: Respiration Rate: (1 / d)
Penaeus (Shrim: Respiration Rate: (1 / d)
Callinectes (C: Respiration Rate: (1 / d)
Anchoa (anchov: Respiration Rate: (1 / d)
Brevoortia (me: Respiration Rate: (1 / d)
Micropogonias : Respiration Rate: (1 / d)
Mugil (mullet): Respiration Rate: (1 / d)
Sciaenops (red: Respiration Rate: (1 / d)
Arius (catfish: Respiration Rate: (1 /d)
Cynoscion (sm.: Respiration Rate: (1 / d)
Cynoscion (sea: Respiration Rate: (1 / d)
Mulinia: Specific Dynamic Action
Ostrea (oyster: Specific Dynamic Action
Acteocina (gas: Specific Dynamic Action
Oyster Drill: Specific Dynamic Action
Penaeus (Shrim: Specific Dynamic Action
Callinectes (C: Specific Dynamic Action
Anchoa (anchov: Specific Dynamic Action
Brevoortia (me: Specific Dynamic Action
Micropogonias : Specific Dynamic Action
Mugil (mullet): Specific Dynamic Action
Sciaenops (red: Specific Dynamic Action
Arius (catfish: Specific Dynamic Action
Cynoscion (sm.: Specific Dynamic Action
Cynoscion (sea: Specific Dynamic Action
Mulinia: Excretion :Respiration (ratio)
Ostrea (oyster: Excretion:Respiration (ratio)
Acteocina (gas: Excretion:Respiration (ratio)
Oyster Drill: Excretion:Respiration (ratio)
Penaeus (Shrim: Excretion:Respiration (ratio)
Callinectes (C: Excretion:Respiration (ratio)
Anchoa (anchov: Excretion:Respiration (ratio)
Brevoortia (me: Excretion:Respiration (ratio)
Micropogonias : Excretion:Respiration (ratio)
Mugil (mullet): Excretion:Respiration (ratio)
Sciaenops (red: Excretion:Respiration (ratio)
Arius (catfish: Excretion:Respiration (ratio)
Cynoscion (sm.: Excretion:Respiration (ratio)
Cynoscion (sea: Excretion:Respiration (ratio)
Mulinia: Gametes:Biomass (ratio)
Ostrea (oyster: Gametes:Biomass (ratio)
Acteocina (gas: Gametes:Biomass (ratio)
Acteocina (gas Salinity Coeff! , Gameteloss (unitless)
Oyster Drill Salinity Coeff! , Gameteloss (unitless)
Penaeus (Shrim Salinity Coeffl, Gameteloss (unitless)
Callinectes (C Salinity Coeffl , Gameteloss (unitless)
Anchoa (anchov Salinity Coeffl, Gameteloss (unitless)
Brevoortia (me Salinity Coeffl , Gameteloss (unitless)
Micropogonias Salinity Coeffl, Gameteloss (unitless)
Mugil (mullet) Salinity Coeffl , Gameteloss (unitless)
Sciaenops (red Salinity Coeffl , Gameteloss (unitless)
Arius (catfish Salinity Coeffl, Gameteloss (unitless)
Cynoscion (sm. Salinity Coeffl, Gameteloss (unitless)
Cynoscion (sea Salinity Coeffl , Gameteloss (unitless)
Mulinia Salinity Coeff2, Gameteloss (unitless)
Ostrea (oyster Salinity Coeff2, Gameteloss (unitless)
Acteocina (gas Salinity Coeff2, Gameteloss (unitless)
Oyster Drill Salinity Coeff2, Gameteloss (unitless)
Penaeus (Shrim Salinity Coeff2, Gameteloss (unitless)
Callinectes (C Salinity Coeff2, Gameteloss (unitless)
Anchoa (anchov Salinity Coeff2, Gameteloss (unitless)
Brevoortia (me Salinity Coeff2, Gameteloss (unitless)
Micropogonias Salinity Coeff2, Gameteloss (unitless)
Mugil (mullet) Salinity Coeff2, Gameteloss (unitless)
Sciaenops (red Salinity Coeff2, Gameteloss (unitless)
Arius (catfish Salinity Coeff2, Gameteloss (unitless)
Cynoscion (sm. Salinity Coeff2, Gameteloss (unitless)
Cynoscion (sea Salinity Coeff2, Gameteloss (unitless)
Mulinia Min. Salinity Tolerance, Respiration (0/00)
Ostrea (oyster Min. Salinity Tolerance, Respiration (0/00)
Acteocina (gas Min. Salinity Tolerance, Respiration (0/00)
Oyster Drill Min. Salinity Tolerance, Respiration (0/00)
Penaeus (Shrim Min. Salinity Tolerance, Respiration (0/00)
Callinectes (C Min. Salinity Tolerance, Respiration (0/00)
Anchoa (anchov Min. Salinity Tolerance, Respiration (0/00)
Brevoortia (me Min. Salinity Tolerance, Respiration (0/00)
Micropogonias Min. Salinity Tolerance, Respiration (0/00)
Mugil (mullet) Min. Salinity Tolerance, Respiration (0/00)
Sciaenops (red Min. Salinity Tolerance, Respiration (0/00)
Arius (catfish Min. Salinity Tolerance, Respiration (0/00)
Cynoscion (sm. Min. Salinity Tolerance, Respiration (0/00)
Cynoscion (sea Min. Salinity Tolerance, Respiration (0/00)
Mulinia Max. Salinity Tolerance, Respiration (0/00)
Ostrea (oyster Max. Salinity Tolerance, Respiration (0/00)
Acteocina (gas Max. Salinity Tolerance, Respiration (0/00)
Oyster Drill Max. Salinity Tolerance, Respiration (0/00)
Penaeus (Shrim Max. Salinity Tolerance, Respiration (0/00)
Callinectes (C Max. Salinity Tolerance, Respiration (0/00)
Anchoa (anchov Max. Salinity Tolerance, Respiration (0/00)
Brevoortia (me Max. Salinity Tolerance, Respiration (0/00)
Micropogonias Max. Salinity Tolerance, Respiration (0/00)
Mugil (mullet) Max. Salinity Tolerance, Respiration (0/00)
Sciaenops (red Max. Salinity Tolerance, Respiration (0/00)
Arius (catfish Max. Salinity Tolerance, Respiration (0/00)
Cynoscion (sm. Max. Salinity Tolerance, Respiration (0/00)
91
-------
Galveston Bay, TX: Continued
Oyster Drill: Gametes:Biomass (ratio)
Penaeus (Shrim: Gametes:Biomass (ratio)
Callinectes (C: Gametes:Biomass (ratio)
Anchoa (anchov: Gametes:Biomass (ratio)
Brevoortia (me: Gametes:Biomass (ratio)
Micropogonias : Gametes:Biomass (ratio)
Mugil (mullet): Gametes:Biomass (ratio)
Sciaenops (red: Gametes:Biomass (ratio)
Arius (catfish: Gametes:Biomass (ratio)
Cynoscion (sm.: Gametes:Biomass (ratio)
Cynoscion (sea: Gametes:Biomass (ratio)
Mulinia: Gametes Mortality (1/d)
Ostrea (oyster: Gametes Mortality (1/d)
Acteocina (gas: Gametes Mortality (1/d)
Oyster Drill: Gametes Mortality (1/d)
Penaeus (Shrim: Gametes Mortality (1/d)
Callinectes (C: Gametes Mortality (1/d)
Anchoa (anchov: Gametes Mortality (1/d)
Brevoortia (me: Gametes Mortality (1/d)
Micropogonias : Gametes Mortality (1/d)
Mugil (mullet): Gametes Mortality (1/d)
Sciaenops (red: Gametes Mortality (1/d)
Arius (catfish: Gametes Mortality (1/d)
Cynoscion (sm.: Gametes Mortality (1/d)
Cynoscion (sea: Gametes Mortality (1/d)
Mulinia: Mortality Coeff (1/d)
Ostrea (oyster: Mortality Coeff (1/d)
Acteocina (gas: Mortality Coeff (1/d)
Oyster Drill: Mortality Coeff (1/d)
Penaeus (Shrim: Mortality Coeff (1/d)
Callinectes (C: Mortality Coeff (1/d)
Anchoa (anchov: Mortality Coeff (1/d)
Brevoortia (me: Mortality Coeff (1/d)
Micropogonias : Mortality Coeff (1/d)
Mugil (mullet): Mortality Coeff (1/d)
Sciaenops (red: Mortality Coeff (1/d)
Arius (catfish: Mortality Coeff (1/d)
Cynoscion (sm.: Mortality Coeff (1/d)
Cynoscion (sea: Mortality Coeff (1/d)
Mulinia: Carrying Capacity (g/sq.m)
Ostrea (oyster: Carrying Capacity (g/sq.m)
Acteocina (gas: Carrying Capacity (g/sq.m)
Oyster Drill: Carrying Capacity (g/sq.m)
Penaeus (Shrim: Carrying Capacity (g/sq.m)
Callinectes (C: Carrying Capacity (g/sq.m)
Anchoa (anchov: Carrying Capacity (g/sq.m)
Brevoortia (me: Carrying Capacity (g/sq.m)
Micropogonias : Carrying Capacity (g/sq.m)
Mugil (mullet): Carrying Capacity (g/sq.m)
Sciaenops (red: Carrying Capacity (g/sq.m)
Arius (catfish: Carrying Capacity (g/sq.m)
Cynoscion (sm.: Carrying Capacity (g/sq.m)
Cynoscion (sea: Carrying Capacity (g/sq.m)
Cynoscion (sea Max. Salinity Tolerance, Respiration (0/00)
Mulinia Salinity Coeff! , Respiration (unitless)
Ostrea (oyster Salinity Coeff! , Respiration (unitless)
Acteocina (gas Salinity Coeff! , Respiration (unitless)
Oyster Drill Salinity Coeff! , Respiration (unitless)
Penaeus (Shrim Salinity Coeffl, Respiration (unitless)
Callinectes (C Salinity Coeffl , Respiration (unitless)
Anchoa (anchov Salinity Coeffl , Respiration (unitless)
Brevoortia (me Salinity Coeffl , Respiration (unitless)
Micropogonias Salinity Coeffl , Respiration (unitless)
Mugil (mullet) Salinity Coeffl , Respiration (unitless)
Sciaenops (red Salinity Coeffl , Respiration (unitless)
Arius (catfish Salinity Coeffl , Respiration (unitless)
Cynoscion (sm. Salinity Coeffl, Respiration (unitless)
Cynoscion (sea Salinity Coeffl , Respiration (unitless)
Mulinia Salinity Coeff2, Respiration (unitless)
Ostrea (oyster Salinity Coeff2, Respiration (unitless)
Acteocina (gas Salinity Coeff2, Respiration (unitless)
Oyster Drill Salinity Coeff2, Respiration (unitless)
Penaeus (Shrim Salinity Coeff2, Respiration (unitless)
Callinectes (C Salinity Coeff2, Respiration (unitless)
Anchoa (anchov Salinity Coeff2, Respiration (unitless)
Brevoortia (me Salinity Coeff2, Respiration (unitless)
Micropogonias Salinity Coeff2, Respiration (unitless)
Mugil (mullet) Salinity Coeff2, Respiration (unitless)
Sciaenops (red Salinity Coeff2, Respiration (unitless)
Arius (catfish Salinity Coeff2, Respiration (unitless)
Cynoscion (sm. Salinity Coeff2, Respiration (unitless)
Cynoscion (sea Salinity Coeff2, Respiration (unitless)
Mulinia Min. Salinity Tolerance, Mortality (0/00)
Ostrea (oyster Min. Salinity Tolerance, Mortality (0/00)
Acteocina (gas Min. Salinity Tolerance, Mortality (0/00)
Oyster Drill Min. Salinity Tolerance, Mortality (0/00)
Penaeus (Shrim Min. Salinity Tolerance, Mortality (0/00)
Callinectes (C Min. Salinity Tolerance, Mortality (0/00)
Anchoa (anchov Min. Salinity Tolerance, Mortality (0/00)
Brevoortia (me Min. Salinity Tolerance, Mortality (0/00)
Micropogonias Min. Salinity Tolerance, Mortality (0/00)
Mugil (mullet) Min. Salinity Tolerance, Mortality (0/00)
Sciaenops (red Min. Salinity Tolerance, Mortality (0/00)
Arius (catfish Min. Salinity Tolerance, Mortality (0/00)
Cynoscion (sm. Min. Salinity Tolerance, Mortality (0/00)
Cynoscion (sea Min. Salinity Tolerance, Mortality (0/00)
Mulinia Max. Salinity Tolerance, Mortality (0/00)
Ostrea (oyster Max. Salinity Tolerance, Mortality (0/00)
Acteocina (gas Max. Salinity Tolerance, Mortality (0/00)
Oyster Drill Max. Salinity Tolerance, Mortality (0/00)
Penaeus (Shrim Max. Salinity Tolerance, Mortality (0/00)
Callinectes (C Max. Salinity Tolerance, Mortality (0/00)
Anchoa (anchov Max. Salinity Tolerance, Mortality (0/00)
Brevoortia (me Max. Salinity Tolerance, Mortality (0/00)
Micropogonias Max. Salinity Tolerance, Mortality (0/00)
Mugil (mullet) Max. Salinity Tolerance, Mortality (0/00)
92
-------
Galveston Bay, TX: Continued
Mulinia: Average Drift (frac/day)
Ostrea (oyster: Average Drift (frac/day)
Acteocina (gas: Average Drift (frac/day)
Oyster Drill: Average Drift (frac/day)
Penaeus (Shrim: Average Drift (frac/day)
Callinectes (C: Average Drift (frac/day)
Anchoa (anchov: Average Drift (frac/day)
Brevoortia (me: Average Drift (frac/day)
Micropogonias : Average Drift (frac/day)
Mugil (mullet): Average Drift (frac/day)
Sciaenops (red: Average Drift (frac/day)
Arius (catfish: Average Drift (frac/day)
Cynoscion (sm.: Average Drift (frac/day)
Cynoscion (sea: Average Drift (frac/day)
Mulinia: VelMax (cm/s)
Ostrea (oyster: VelMax (cm/s)
Acteocina (gas: VelMax (cm/s)
Oyster Drill: VelMax (cm/s)
Penaeus (Shrim: VelMax (cm/s)
Callinectes (C: VelMax (cm/s)
Anchoa (anchov: VelMax (cm/s)
Brevoortia (me: VelMax (cm/s)
Micropogonias : VelMax (cm/s)
Mugil (mullet): VelMax (cm/s)
Sciaenops (red: VelMax (cm/s)
Arius (catfish: VelMax (cm/s)
Cynoscion (sm.: VelMax (cm/s)
Cynoscion (sea: VelMax (cm/s)
Mulinia: Mean Lifespan (days)
Ostrea (oyster: Mean Lifespan (days)
Acteocina (gas: Mean Lifespan (days)
Oyster Drill: Mean Lifespan (days)
Penaeus (Shrim: Mean Lifespan (days)
Callinectes (C: Mean Lifespan (days)
Anchoa (anchov: Mean Lifespan (days)
Brevoortia (me: Mean Lifespan (days)
Micropogonias : Mean Lifespan (days)
Mugil (mullet): Mean Lifespan (days)
Sciaenops (red: Mean Lifespan (days)
Arius (catfish: Mean Lifespan (days)
Cynoscion (sm.: Mean Lifespan (days)
Cynoscion (sea: Mean Lifespan (days)
Mulinia: Initial Fraction Lipid (wet wt.)
Ostrea (oyster: Initial Fraction Lipid (wet wt.)
Acteocina (gas: Initial Fraction Lipid (wet wt.)
Oyster Drill: Initial Fraction Lipid (wet wt.)
Penaeus (Shrim: Initial Fraction Lipid (wet wt.)
Callinectes (C: Initial Fraction Lipid (wet wt.)
Anchoa (anchov: Initial Fraction Lipid (wet wt.)
Brevoortia (me: Initial Fraction Lipid (wet wt.)
Micropogonias : Initial Fraction Lipid (wet wt.)
Mugil (mullet): Initial Fraction Lipid (wet wt.)
Sciaenops (red: Initial Fraction Lipid (wet wt.)
Sciaenops (red Max. Salinity Tolerance, Mortality (0/00)
Arius (catfish Max. Salinity Tolerance, Mortality (0/00)
Cynoscion (sm. Max. Salinity Tolerance, Mortality (0/00)
Cynoscion (sea Max. Salinity Tolerance, Mortality (0/00)
Mulinia Salinity Coeffl, Mortality (unitless)
Ostrea (oyster Salinity Coeffl , Mortality (unitless)
Acteocina (gas Salinity Coeffl, Mortality (unitless)
Oyster Drill Salinity Coeffl , Mortality (unitless)
Penaeus (Shrim Salinity Coeffl, Mortality (unitless)
Callinectes (C Salinity Coeffl , Mortality (unitless)
Anchoa (anchov Salinity Coeffl , Mortality (unitless)
Brevoortia (me Salinity Coeffl , Mortality (unitless)
Micropogonias Salinity Coeffl, Mortality (unitless)
Mugil (mullet) Salinity Coeffl , Mortality (unitless)
Sciaenops (red Salinity Coeffl, Mortality (unitless)
Arius (catfish Salinity Coeffl , Mortality (unitless)
Cynoscion (sm. Salinity Coeffl, Mortality (unitless)
Cynoscion (sea Salinity Coeffl, Mortality (unitless)
Mulinia Salinity Coeff2, Mortality (unitless)
Ostrea (oyster Salinity Coeff2, Mortality (unitless)
Acteocina (gas Salinity Coeff2, Mortality (unitless)
Oyster Drill Salinity Coeff2, Mortality (unitless)
Penaeus (Shrim Salinity Coeff2, Mortality (unitless)
Callinectes (C Salinity Coeff2, Mortality (unitless)
Anchoa (anchov Salinity Coeff2, Mortality (unitless)
Brevoortia (me Salinity Coeff2, Mortality (unitless)
Micropogonias Salinity Coeff2, Mortality (unitless)
Mugil (mullet) Salinity Coeff2, Mortality (unitless)
Sciaenops (red Salinity Coeff2, Mortality (unitless)
Arius (catfish Salinity Coeff2, Mortality (unitless)
Cynoscion (sm. Salinity Coeff2, Mortality (unitless)
Cynoscion (sea Salinity Coeff2, Mortality (unitless)
Mulinia Fishing Fraction (frac/d)
Ostrea (oyster Fishing Fraction (frac/d)
Acteocina (gas Fishing Fraction (frac/d)
Oyster Drill Fishing Fraction (frac/d)
Penaeus (Shrim Fishing Fraction (frac/d)
Callinectes (C Fishing Fraction (frac/d)
Anchoa (anchov Fishing Fraction (frac/d)
Brevoortia (me Fishing Fraction (frac/d)
Micropogonias Fishing Fraction (frac/d)
Mugil (mullet) Fishing Fraction (frac/d)
Sciaenops (red Fishing Fraction (frac/d)
Arius (catfish Fishing Fraction (frac/d)
Cynoscion (sm. Fishing Fraction (frac/d)
Cynoscion (sea Fishing Fraction (frac/d)
Mulinia P to Organics (frac dry)
Ostrea (oyster P to Organics (frac dry)
Acteocina (gas P to Organics (frac dry)
Oyster Drill P to Organics (frac dry)
Penaeus (Shrim P to Organics (frac dry)
Callinectes (C P to Organics (frac dry)
Anchoa (anchov P to Organics (frac dry)
93
-------
Galveston Bay, TX: Continued
Arius (catfish: Initial Fraction Lipid (wet wt.)
Cynoscion (sm.: Initial Fraction Lipid (wet wt.)
Cynoscion (sea: Initial Fraction Lipid (wet wt.)
Mulinia: Mean Weight (g)
Ostrea (oyster: Mean Weight (g)
Acteocina (gas: Mean Weight (g)
Oyster Drill: Mean Weight (g)
Penaeus (Shrim: Mean Weight (g)
Callinectes (C: Mean Weight (g)
Anchoa (anchov: Mean Weight (g)
Brevoortia (me: Mean Weight (g)
Micropogonias : Mean Weight (g)
Mugil (mullet): Mean Weight (g)
Sciaenops (red: Mean Weight (g)
Arius (catfish: Mean Weight (g)
Cynoscion (sm.: Mean Weight (g)
Cynoscion (sea: Mean Weight (g)
Mulinia: Pet in Riffle (if stream %)
Ostrea (oyster: Pet in Riffle (if stream %)
Acteocina (gas: Pet in Riffle (if stream %)
Oyster Drill: Pet in Riffle (if stream %)
Penaeus (Shrim: Pet in Riffle (if stream %)
Callinectes (C: Pet in Riffle (if stream %)
Anchoa (anchov: Pet in Riffle (if stream %)
Brevoortia (me: Pet in Riffle (if stream %)
Micropogonias : Pet in Riffle (if stream %)
Mugil (mullet): Pet in Riffle (if stream %)
Sciaenops (red: Pet in Riffle (if stream %)
Arius (catfish: Pet in Riffle (if stream %)
Cynoscion (sm.: Pet in Riffle (if stream %)
Cynoscion (sea: Pet in Riffle (if stream %)
Mulinia: Pet in Pool (if stream %)
Ostrea (oyster: Pet in Pool (if stream %)
Acteocina (gas: Pet in Pool (if stream %)
Oyster Drill: Pet in Pool (if stream %)
Penaeus (Shrim: Pet in Pool (if stream %)
Callinectes (C: Pet in Pool (if stream %)
Anchoa (anchov: Pet in Pool (if stream %)
Brevoortia (me: Pet in Pool (if stream %)
Micropogonias : Pet in Pool (if stream %)
Mugil (mullet): Pet in Pool (if stream %)
Sciaenops (red: Pet in Pool (if stream %)
Arius (catfish: Pet in Pool (if stream %)
Cynoscion (sm.: Pet in Pool (if stream %)
Cynoscion (sea: Pet in Pool (if stream %)
Anchoa (anchov: (Allometric) CA
Brevoortia (me: (Allometric) CA
Micropogonias : (Allometric) CA
Mugil (mullet): (Allometric) CA
Sciaenops (red: (Allometric) CA
Arius (catfish: (Allometric) CA
Cynoscion (sm.: (Allometric) CA
Cynoscion (sea: (Allometric) CA
Brevoortia (me P to Organics (frac dry)
Micropogonias P to Organics (frac dry)
Mugil (mullet) P to Organics (frac dry)
Sciaenops (red P to Organics (frac dry)
Arius (catfish P to Organics (frac dry)
Cynoscion (sm. P to Organics (frac dry)
Cynoscion (sea P to Organics (frac dry)
Mulinia N to Organics (frac dry)
Ostrea (oyster N to Organics (frac dry)
Acteocina (gas N to Organics (frac dry)
Oyster Drill N to Organics (frac dry)
Penaeus (Shrim N to Organics (frac dry)
Callinectes (C N to Organics (frac dry)
Anchoa (anchov N to Organics (frac dry)
Brevoortia (me N to Organics (frac dry)
Micropogonias N to Organics (frac dry)
Mugil (mullet) N to Organics (frac dry)
Sciaenops (red N to Organics (frac dry)
Arius (catfish N to Organics (frac dry)
Cynoscion (sm. N to Organics (frac dry)
Cynoscion (sea N to Organics (frac dry)
Mulinia Wet to Dry (ratio)
Ostrea (oyster Wet to Dry (ratio)
Acteocina (gas Wet to Dry (ratio)
Oyster Drill Wet to Dry (ratio)
Penaeus (Shrim Wet to Dry (ratio)
Callinectes (C Wet to Dry (ratio)
Anchoa (anchov Wet to Dry (ratio)
Brevoortia (me Wet to Dry (ratio)
Micropogonias Wet to Dry (ratio)
Mugil (mullet) Wet to Dry (ratio)
Sciaenops (red Wet to Dry (ratio)
Arius (catfish Wet to Dry (ratio)
Cynoscion (sm. Wet to Dry (ratio)
Cynoscion (sea Wet to Dry (ratio)
Mulinia Oxygen Lethal Cone (mg/L 24 hr)
Ostrea (oyster Oxygen Lethal Cone (mg/L 24 hr)
Acteocina (gas Oxygen Lethal Cone (mg/L 24 hr)
Oyster Drill Oxygen Lethal Cone (mg/L 24 hr)
Penaeus (Shrim Oxygen Lethal Cone (mg/L 24 hr)
Callinectes (C Oxygen Lethal Cone (mg/L 24 hr)
Anchoa (anchov Oxygen Lethal Cone (mg/L 24 hr)
Brevoortia (me Oxygen Lethal Cone (mg/L 24 hr)
Micropogonias Oxygen Lethal Cone (mg/L 24 hr)
Mugil (mullet) Oxygen Lethal Cone (mg/L 24 hr)
Sciaenops (red Oxygen Lethal Cone (mg/L 24 hr)
Arius (catfish Oxygen Lethal Cone (mg/L 24 hr)
Cynoscion (sm. Oxygen Lethal Cone (mg/L 24 hr)
Cynoscion (sea Oxygen Lethal Cone (mg/L 24 hr)
Mulinia Oxygen Pet. Killed (Percent, 1-99)
Ostrea (oyster Oxygen Pet. Killed (Percent, 1-99)
Acteocina (gas Oxygen Pet. Killed (Percent, 1-99)
Oyster Drill Oxygen Pet. Killed (Percent, 1-99)
94
-------
Galveston Bay, TX: Continued
Anchoa (anchov: (Allometric) CB
Brevoortia (me: (Allometric) CB
Micropogonias : (Allometric) CB
Mugil (mullet): (Allometric) CB
Sciaenops (red: (Allometric) CB
Arius (catfish: (Allometric) CB
Cynoscion (sm.: (Allometric) CB
Cynoscion (sea: (Allometric) CB
Anchoa (anchov: (Allometric) RA
Brevoortia (me: (Allometric) RA
Micropogonias : (Allometric) RA
Mugil (mullet): (Allometric) RA
Sciaenops (red: (Allometric) RA
Arius (catfish: (Allometric) RA
Cynoscion (sm.: (Allometric) RA
Cynoscion (sea: (Allometric) RA
Anchoa (anchov: (Allometric) RB
Brevoortia (me: (Allometric) RB
Micropogonias : (Allometric) RB
Mugil (mullet): (Allometric) RB
Sciaenops (red: (Allometric) RB
Arius (catfish: (Allometric) RB
Cynoscion (sm.: (Allometric) RB
Cynoscion (sea: (Allometric) RB
Anchoa (anchov: (Allometric) ACT
Brevoortia (me: (Allometric) ACT
Micropogonias : (Allometric) ACT
Mugil (mullet): (Allometric) ACT
Sciaenops (red: (Allometric) ACT
Arius (catfish: (Allometric) ACT
Cynoscion (sm.: (Allometric) ACT
Cynoscion (sea: (Allometric) ACT
R detr sed: Initial Condition (g/m2 dry)
L detr sed: Initial Condition (g/m2 dry)
BuryRDetr: Initial Condition (g/m2)
T1R detr sed: Initial Condition (ug/kg dry)
T1L detr sed: Initial Condition (ug/kg dry)
T1 BuryRDetr: Initial Condition (ug/kg dry)
T1: Initial Condition (ug/L)
Susp&Diss Detr: Initial Condition (mg/L dry)
Mulinia: Initial Condition (g/m2 dry)
Ostrea (oyster: Initial Condition (g/m2 dry)
Acteocina (gas: Initial Condition (g/m2 dry)
Oyster Drill: Initial Condition (g/m2 dry)
Penaeus (Shrim: Initial Condition (mg/L dry)
Callinectes (C: Initial Condition (g/m2 dry)
Anchoa (anchov: Initial Condition 0
Brevoortia (me: Initial Condition 0
Micropogonias : Initial Condition 0
Mugil (mullet): Initial Condition 0
Sciaenops (red: Initial Condition 0
Arius (catfish: Initial Condition 0
Cynoscion (sm.: Initial Condition 0
Penaeus (Shrim Oxygen Pet. Killed (Percent, 1-99)
Callinectes (C Oxygen Pet. Killed (Percent, 1-99)
Anchoa (anchov Oxygen Pet. Killed (Percent, 1-99)
Brevoortia (me Oxygen Pet. Killed (Percent, 1-99)
Micropogonias Oxygen Pet. Killed (Percent, 1-99)
Mugil (mullet) Oxygen Pet. Killed (Percent, 1-99)
Sciaenops (red Oxygen Pet. Killed (Percent, 1-99)
Arius (catfish Oxygen Pet. Killed (Percent, 1-99)
Cynoscion (sm. Oxygen Pet. Killed (Percent, 1-99)
Cynoscion (sea Oxygen Pet. Killed (Percent, 1-99)
Mulinia Oxygen EC50 Growth (mg/L 24 hr)
Ostrea (oyster Oxygen EC50 Growth (mg/L 24 hr)
Acteocina (gas Oxygen EC50 Growth (mg/L 24 hr)
Oyster Drill Oxygen EC50 Growth (mg/L 24 hr)
Penaeus (Shrim Oxygen EC50 Growth (mg/L 24 hr)
Callinectes (C Oxygen EC50 Growth (mg/L 24 hr)
Anchoa (anchov Oxygen EC50 Growth (mg/L 24 hr)
Brevoortia (me Oxygen EC50 Growth (mg/L 24 hr)
Micropogonias Oxygen EC50 Growth (mg/L 24 hr)
Mugil (mullet) Oxygen EC50 Growth (mg/L 24 hr)
Sciaenops (red Oxygen EC50 Growth (mg/L 24 hr)
Arius (catfish Oxygen EC50 Growth (mg/L 24 hr)
Cynoscion (sm. Oxygen EC50 Growth (mg/L 24 hr)
Cynoscion (sea Oxygen EC50 Growth (mg/L 24 hr)
Mulinia Oxygen EC50 Repro (mg/L 24 hr)
Ostrea (oyster Oxygen EC50 Repro (mg/L 24 hr)
Acteocina (gas Oxygen EC50 Repro (mg/L 24 hr)
Oyster Drill Oxygen EC50 Repro (mg/L 24 hr)
Penaeus (Shrim Oxygen EC50 Repro (mg/L 24 hr)
Callinectes (C Oxygen EC50 Repro (mg/L 24 hr)
Anchoa (anchov Oxygen EC50 Repro (mg/L 24 hr)
Brevoortia (me Oxygen EC50 Repro (mg/L 24 hr)
Micropogonias Oxygen EC50 Repro (mg/L 24 hr)
Mugil (mullet) Oxygen EC50 Repro (mg/L 24 hr)
Sciaenops (red Oxygen EC50 Repro (mg/L 24 hr)
Arius (catfish Oxygen EC50 Repro (mg/L 24 hr)
Cynoscion (sm. Oxygen EC50 Repro (mg/L 24 hr)
Cynoscion (sea Oxygen EC50 Repro (mg/L 24 hr)
Mulinia Ammonia LC50 (mg/L)
Ostrea (oyster Ammonia LC50 (mg/L)
Acteocina (gas Ammonia LC50 (mg/L)
Oyster Drill Ammonia LC50 (mg/L)
Penaeus (Shrim Ammonia LC50 (mg/L)
Callinectes (C Ammonia LC50 (mg/L)
Anchoa (anchov Ammonia LC50 (mg/L)
Brevoortia (me Ammonia LC50 (mg/L)
Micropogonias Ammonia LC50 (mg/L)
Mugil (mullet) Ammonia LC50 (mg/L)
Sciaenops (red Ammonia LC50 (mg/L)
Arius (catfish Ammonia LC50 (mg/L)
Cynoscion (sm. Ammonia LC50 (mg/L)
Cynoscion (sea Ammonia LC50 (mg/L)
Mulinia Sorting, selective feeding (unitless)
95
-------
Galveston Bay, TX: Continued
Cynoscion (sea: Initial Condition 0
T1Susp&Diss Detr: Initial Condition (ug/kg dry)
TIMulinia: Initial Condition (ug/kg wet)
TlOstrea (oyster: Initial Condition (ug/kg wet)
TIActeocina (gas: Initial Condition (ug/kg wet)
TlOyster Drill: Initial Condition (ug/kg wet)
TIPenaeus (Shrim: Initial Condition (ug/kg wet)
TICallinectes (C: Initial Condition (ug/kg wet)
TIAnchoa (anchov: Initial Condition (ug/kg wet)
TIBrevoortia (me: Initial Condition (ug/kg wet)
TIMicropogonias : Initial Condition (ug/kg wet)
TIMugil (mullet): Initial Condition (ug/kg wet)
TISciaenops (red: Initial Condition (ug/kg wet)
TIArius (catfish: Initial Condition (ug/kg wet)
T\Cynoscion (sm.: Initial Condition (ug/kg wet)
T1Cynosc/on (sea: Initial Condition (ug/kg wet)
T1 : Const Load (ug/L)
Mulinia: Const Load (g/m2 dry)
Ostrea (oyster: Const Load (g/m2 dry)
Acteocina (gas: Const Load (g/m2 dry)
Oyster Drill: Const Load (g/m2 dry)
Penaeus (Shrim: Const Load (mg/L dry)
Callinectes (C: Const Load (g/m2 dry)
Anchoa (anchov: Const Load 0
Brevoortia (me: Const Load 0
Micropogonias : Const Load 0
Mugil (mullet): Const Load 0
Sciaenops (red: Const Load 0
Arius (catfish: Const Load 0
Cynoscion (sm.: Const Load 0
Cynoscion (sea: Const Load 0
TIMulinia: Const Load (ug/kg wet)
TlOstrea (oyster: Const Load (ug/kg wet)
TIActeocina (gas: Const Load (ug/kg wet)
TlOyster Drill: Const Load (ug/kg wet)
TIPenaeus (Shrim: Const Load (ug/kg wet)
TICallinectes (C: Const Load (ug/kg wet)
TIAnchoa (anchov: Const Load (ug/kg wet)
TIBrevoortia (me: Const Load (ug/kg wet)
TIMicropogonias : Const Load (ug/kg wet)
TIMugil (mullet): Const Load (ug/kg wet)
TISciaenops (red: Const Load (ug/kg wet)
TIArius (catfish: Const Load (ug/kg wet)
T\Cynoscion (sm.: Const Load (ug/kg wet)
T1 Cynoscion (sea: Const Load (ug/kg wet)
T1: Multiply Loading by
Susp&Diss Detr: Multiply Loading by
Mulinia: Multiply Loading by
Ostrea (oyster: Multiply Loading by
Acteocina (gas: Multiply Loading by
Oyster Drill: Multiply Loading by
Penaeus (Shrim: Multiply Loading by
Callinectes (C: Multiply Loading by
Ostrea (oyster Sorting, selective feeding (unitless)
Acteocina (gas Sorting, selective feeding (unitless)
Oyster Drill Sorting, selective feeding (unitless)
Penaeus (Shrim Sorting, selective feeding (unitless)
Callinectes (C Sorting, selective feeding (unitless)
Anchoa (anchov Sorting, selective feeding (unitless)
Brevoortia (me Sorting, selective feeding (unitless)
Micropogonias Sorting, selective feeding (unitless)
Mugil (mullet) Sorting, selective feeding (unitless)
Sciaenops (red Sorting, selective feeding (unitless)
Arius (catfish Sorting, selective feeding (unitless)
Cynoscion (sm. Sorting, selective feeding (unitless)
Cynoscion (sea Sorting, selective feeding (unitless)
Mulinia Slope for Sed Response (unitless)
Ostrea (oyster Slope for Sed Response (unitless)
Acteocina (gas Slope for Sed Response (unitless)
Oyster Drill Slope for Sed Response (unitless)
Penaeus (Shrim Slope for Sed Response (unitless)
Callinectes (C Slope for Sed Response (unitless)
Anchoa (anchov Slope for Sed Response (unitless)
Brevoortia (me Slope for Sed Response (unitless)
Micropogonias Slope for Sed Response (unitless)
Mugil (mullet) Slope for Sed Response (unitless)
Sciaenops (red Slope for Sed Response (unitless)
Arius (catfish Slope for Sed Response (unitless)
Cynoscion (sm. Slope for Sed Response (unitless)
Cynoscion (sea Slope for Sed Response (unitless)
Mulinia Intercept for Sed Response (unitless)
Ostrea (oyster Intercept for Sed Response (unitless)
Acteocina (gas Intercept for Sed Response (unitless)
Oyster Drill Intercept for Sed Response (unitless)
Penaeus (Shrim Intercept for Sed Response (unitless)
Callinectes (C Intercept for Sed Response (unitless)
Anchoa (anchov Intercept for Sed Response (unitless)
Brevoortia (me Intercept for Sed Response (unitless)
Micropogonias Intercept for Sed Response (unitless)
Mugil (mullet) Intercept for Sed Response (unitless)
Sciaenops (red Intercept for Sed Response (unitless)
Arius (catfish Intercept for Sed Response (unitless)
Cynoscion (sm. Intercept for Sed Response (unitless)
Cynoscion (sea Intercept for Sed Response (unitless)
Mulinia Trigger (dep. rate accel. drift in g/sq.m)
Ostrea (oyster Trigger (dep. rate accel. drift in g/sq.m)
Acteocina (gas Trigger (dep. rate accel. drift in g/sq.m)
Oyster Drill Trigger (dep. rate accel. drift in g/sq.m)
Penaeus (Shrim Trigger (dep. rate accel. drift in g/sq.m)
Callinectes (C Trigger (dep. rate accel. drift in g/sq.m)
Anchoa (anchov Trigger (dep. rate accel. drift in g/sq.m)
Brevoortia (me Trigger (dep. rate accel. drift in g/sq.m)
Micropogonias Trigger (dep. rate accel. drift in g/sq.m)
Mugil (mullet) Trigger (dep. rate accel. drift in g/sq.m)
Sciaenops (red Trigger (dep. rate accel. drift in g/sq.m)
Arius (catfish Trigger (dep. rate accel. drift in g/sq.m)
96
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Galveston Bay, TX: Continued
Anchoa (anchov: Multiply Loading by
Brevoortia (me: Multiply Loading by
Micropogonias : Multiply Loading by
Mugil (mullet): Multiply Loading by
Sciaenops (red: Multiply Loading by
Arius (catfish: Multiply Loading by
Cynoscion (sm.: Multiply Loading by
Cynoscion (sea: Multiply Loading by
T1Susp&Diss Detr: Multiply Loading by
TIMulinia: Multiply Loading by
TlOstrea (oyster: Multiply Loading by
TIActeocina (gas: Multiply Loading by
TlOyster Drill: Multiply Loading by
TIPenaeus (Shrim: Multiply Loading by
TICallinectes (C: Multiply Loading by
TIAnchoa (anchov: Multiply Loading by
T1 Brevoortia (me: Multiply Loading by
T1 Micropogonias : Multiply Loading by
T1 Mugil (mullet): Multiply Loading by
T1 Sciaenops (red: Multiply Loading by
TIArius (catfish: Multiply Loading by
T1Cynosc/on (sm.: Multiply Loading by
Cynoscion (sm. Trigger (dep. rate accel. drift in g/sq.m)
Cynoscion (sea Trigger (dep. rate accel. drift in g/sq.m)
Susp&Diss Detr: Pet. Partic. Loads, Const.
Susp&Diss Detr: Pet. Refr. Loads, Const.
Susp&Diss Detr: Pet. Particulate, Init. Cond
Susp&Diss Detr: Pet. Refractory, Init. Cond
Mulinia Pet. Embedded Threshold
Ostrea (oyster Pet. Embedded Threshold
Acteocina (gas Pet. Embedded Threshold
Oyster Drill Pet. Embedded Threshold
Penaeus (Shrim Pet. Embedded Threshold
Callinectes (C Pet. Embedded Threshold
Anchoa (anchov Pet. Embedded Threshold
Brevoortia (me Pet. Embedded Threshold
Micropogonias Pet. Embedded Threshold
Mugil (mullet) Pet. Embedded Threshold
Sciaenops (red Pet. Embedded Threshold
Arius (catfish Pet. Embedded Threshold
Cynoscion (sm. Pet. Embedded Threshold
Cynoscion (sea Pet. Embedded Threshold
97
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Ohio Stream with Chlorpyrifos:
Peri High-Nut Max. Salinity Tolerance, Mortality (0/00)
Peri High-Nut Max. Sat. Light (Ly/d)
Peri High-Nut Min. Salinity Tolerance, Photo. (0/00)
Peri High-Nut Pet. Lost Slough Event (percent)
Peri High-Nut Salinity Coeffl, Mortality (unitless)
Peri High-Nut Salinity Coeff2, Mortality (unitless)
Peri High-Nut Wet to Dry (ratio)
Peri High-Nut : Const Load (g/m2 dry)
Peri High-Nut : FCrit, periphyton (newtons)
Peri High-Nut : Inorg. C Half-saturation (mg/L)
Peri High-Nut : Max Photosynthetic Rate (1/d)
Peri High-Nut : Min Adaptation Temperature (deg. C)
Peri High-Nut : Multiply Loading by
Peri High-Nut : N:Organics (ratio)
Peri High-Nut : P Half-saturation (mg/L)
Peri High-Nut : Pet in Pool (if stream %)
Peri High-Nut : Photorespiration Coefficient (1/d)
Peri High-Nut : Saturating Light (Ly/d)
Peri High-Nut : VelMax Macrophytes (cm/s)
Peri Low-Nut D Max. Salinity Tolerance, Photo. (0/00)
Peri Low-Nut D Min. Salinity Tolerance, Mortality (0/00)
Peri Low-Nut D Min. Sat. Light (Ly/d)
Peri Low-Nut D Resp. Rate, 20 deg C (g/g d)
Peri Low-Nut D Salinity Coeffl , Photo, (unitless)
Peri Low-Nut D Salinity Coeff2, Photo, (unitless)
Peri Low-Nut D: Carrying Capacity (g/m2)
Peri Low-Nut D: Exponential Mort. Coefficient: (max / d)
Peri Low-Nut D: Initial Condition (g/m2 dry)
Peri Low-Nut D: Light Extinction (1/m)
Peri Low-Nut D: Maximum Temperature (deg. C)
Peri Low-Nut D: Mortality Coefficient: (frac / d)
Peri Low-Nut D: N Half-saturation (mg/L)
Peri Low-Nut D: Optimal Temperature (deg. C)
Peri Low-Nut D: P:Organics (ratio)
Peri Low-Nut D: Pet in Riffle (if stream %)
Peri Low-Nut D: Red in Still Water (frac)
Peri Low-Nut D: Temp Response Slope
Peri, Blue-Gre Max. Salinity Tolerance, Mortality (0/00)
Peri, Blue-Gre Max. Sat. Light (Ly/d)
Peri, Blue-Gre Min. Salinity Tolerance, Photo. (0/00)
Peri, Blue-Gre Pet. Lost Slough Event (percent)
Peri, Blue-Gre Salinity Coeffl , Mortality (unitless)
Peri, Blue-Gre Salinity Coeff2, Mortality (unitless)
Peri, Blue-Gre Wet to Dry (ratio)
Peri, Blue-Gre: Const Load (g/m2 dry)
Peri, Blue-Gre: FCrit, periphyton (newtons)
Peri, Blue-Gre: Inorg. C Half-saturation (mg/L)
Peri, Blue-Gre: Max Photosynthetic Rate (1/d)
Peri, Blue-Gre: Min Adaptation Temperature (deg. C)
Peri, Blue-Gre: Multiply Loading by
Peri, Blue-Gre: N:Organics (ratio)
Peri, Blue-Gre: P Half-saturation (mg/L)
Peri, Blue-Gre: Pet in Pool (if stream %)
Peri, Blue-Gre: Photorespiration Coefficient (1/d)
Peri, Blue-Gre: Saturating Light (Ly/d)
Peri, Blue-Gre: VelMax Macrophytes (cm/s)
Peri High-Nut Max. Salinity Tolerance, Photo. (0/00)
Peri High-Nut Min. Salinity Tolerance, Mortality (0/00)
Peri High-Nut Min. Sat. Light (Ly/d)
Peri High-Nut Resp. Rate, 20 deg C (g/g d)
Peri High-Nut Salinity Coeffl , Photo, (unitless)
Peri High-Nut Salinity Coeff2, Photo, (unitless)
Peri High-Nut : Carrying Capacity (g/m2)
Peri High-Nut : Exponential Mort. Coefficient: (max / d)
Peri High-Nut : Initial Condition (g/m2 dry)
Peri High-Nut : Light Extinction (1/m)
Peri High-Nut : Maximum Temperature (deg. C)
Peri High-Nut : Mortality Coefficient: (frac / d)
Peri High-Nut : N Half-saturation (mg/L)
Peri High-Nut : Optimal Temperature (deg. C)
Peri High-Nut : P:Organics (ratio)
Peri High-Nut : Pet in Riffle (if stream %)
Peri High-Nut : Red in Still Water (frac)
Peri High-Nut : Temp Response Slope
Peri Low-Nut D Max. Salinity Tolerance, Mortality (0/00)
Peri Low-Nut D Max. Sat. Light (Ly/d)
Peri Low-Nut D Min. Salinity Tolerance, Photo. (0/00)
Peri Low-Nut D Pet. Lost Slough Event (percent)
Peri Low-Nut D Salinity Coeffl , Mortality (unitless)
Peri Low-Nut D Salinity Coeff2, Mortality (unitless)
Peri Low-Nut D Wet to Dry (ratio)
Peri Low-Nut D: Const Load (g/m2 dry)
Peri Low-Nut D: FCrit, periphyton (newtons)
Peri Low-Nut D: Inorg. C Half-saturation (mg/L)
Peri Low-Nut D: Max Photosynthetic Rate (1/d)
Peri Low-Nut D: Min Adaptation Temperature (deg. C)
Peri Low-Nut D: Multiply Loading by
Peri Low-Nut D: N:Organics (ratio)
Peri Low-Nut D: P Half-saturation (mg/L)
Peri Low-Nut D: Pet in Pool (if stream %)
Peri Low-Nut D: Photorespiration Coefficient (1/d)
Peri Low-Nut D: Saturating Light (Ly/d)
Peri Low-Nut D: VelMax Macrophytes (cm/s)
Peri, Blue-Gre Max. Salinity Tolerance, Photo. (0/00)
Peri, Blue-Gre Min. Salinity Tolerance, Mortality (0/00)
Peri, Blue-Gre Min. Sat. Light (Ly/d)
Peri, Blue-Gre Resp. Rate, 20 deg C (g/g d)
Peri, Blue-Gre Salinity Coeffl, Photo, (unitless)
Peri, Blue-Gre Salinity Coeff2, Photo, (unitless)
Peri, Blue-Gre: Carrying Capacity (g/m2)
Peri, Blue-Gre: Exponential Mort. Coefficient: (max / d)
Peri, Blue-Gre: Initial Condition (g/m2 dry)
Peri, Blue-Gre: Light Extinction (1/m)
Peri, Blue-Gre: Maximum Temperature (deg. C)
Peri, Blue-Gre: Mortality Coefficient: (frac / d)
Peri, Blue-Gre: N Half-saturation (mg/L)
Peri, Blue-Gre: Optimal Temperature (deg. C)
Peri, Blue-Gre: P:Organics (ratio)
Peri, Blue-Gre: Pet in Riffle (if stream %)
Peri, Blue-Gre: Red in Still Water (frac)
Peri, Blue-Gre: Temp Response Slope
Peri, Green Max. Salinity Tolerance, Mortality (0/00)
98
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Ohio Stream with Chlorpyrifos (cont.):
Peri, Green Salinity Coeff! , Photo, (unitless)
Peri, Green Salinity Coeff2, Photo, (unitless)
Peri, Green: Carrying Capacity (g/m2)
Peri, Green: Exponential Mort. Coefficient: (max / d)
Peri, Green: Initial Condition (g/m2 dry)
Peri, Green: Light Extinction (1/m)
Peri, Green: Maximum Temperature (deg. C)
Peri, Green: Mortality Coefficient: (frac / d)
Peri, Green: N Half-saturation (mg/L)
Peri, Green: Optimal Temperature (deg. C)
Peri, Green: P:Organics (ratio)
Peri, Green: Pet in Riffle (if stream %)
Peri, Green: Red in Still Water (frac)
Peri, Green: Temp Response Slope
T1 : Acid Catalyzed Hydrolysis (L/d)
T1: Aerobic Microbial Degrdn. (L/d)
T1 : Amphipod EC50 Growth (ug/L)
T1: Amphipod Elim. Rate Constant (1/d)
T1: Anaerobic Microbial Degrdn. (L/d)
T1 : Bass EC50 Dislodge (ug/L)
T1 : Bass EC50 Repro (ug/L)
T1 : Bass LC50 (ug/L)
T1: Bluegill EC50 Growth (ug/L)
T1: Bluegill Elim. Rate Constant (1/d)
T1 : Bluegreens EC50 photo (ug/L)
T1 : Bluegreens LC50 (ug/L)
T1 : Catfish EC50 Growth (ug/L)
T1: Catfish Elim. Rate Constant (1/d)
T1: Chironomid EC50 Dislodge (ug/L)
T1 : Chironomid EC50 Repro (ug/L)
T1 : Chironomid LC50 (ug/L)
T1: Daphnia EC50 Dislodge (ug/L)
T1: Daphnia EC50 Repro (ug/L)
T1 : Daphnia LC50 (ug/L)
T1: Diatoms Elim. Rate Constant (1/d)
T1 : Dissasociation Constant (pKa)
T1 : Gastropod EC50 Growth (ug/L)
T1: Gastropod Elim. Rate Constant (1/d)
T1 : Greens EC50 photo (ug/L)
T1 : Greens LC50 (ug/L)
T1: Initial Condition (ug/L)
T1: Macrophytes Elim. Rate Constant (1/d)
T1: Minnow EC50 Dislodge (ug/L)
T1 : Minnow EC50 Repro (ug/L)
T1: Minnow LC50 (ug/L)
T1 : Mult. Direct Precip. Load by
T1: Mult. Point Source Load by
T1 : Mussel EC50 Dislodge (ug/L)
T1 : Mussel EC50 Repro (ug/L)
T1 : Mussel LC50 (ug/L)
T1 : Oligochaete EC50 Dislodge (ug/L)
T1 : Oligochaete EC50 Repro (ug/L)
T1 : Oligochaete LC50 (ug/L)
T1 : Ostracod EC50 Growth (ug/L)
T1: Ostracod Elim. Rate Constant (1/d)
T1 : Oxidation Rate Const (L/mol day)
Peri, Green Salinity Coeff2, Mortality (unitless)
Peri, Green Wet to Dry (ratio)
Peri, Green: Const Load (g/m2 dry)
Peri, Green: FCrit, periphyton (newtons)
Peri, Green: Inorg. C Half-saturation (mg/L)
Peri, Green: Max Photosynthetic Rate (1/d)
Peri, Green: Min Adaptation Temperature (deg. C)
Peri, Green: Multiply Loading by
Peri, Green: N:Organics (ratio)
Peri, Green: P Half-saturation (mg/L)
Peri, Green: Pet in Pool (if stream %)
Peri, Green: Photorespiration Coefficient (1/d)
Peri, Green: Saturating Light (Ly/d)
Peri, Green: VelMax Macrophytes (cm/s)
T1 : Activation Energy for Temp (cal/mol)
T1: Amphipod EC50 Dislodge (ug/L)
T1 : Amphipod EC50 Repro (ug/L)
T1 : Amphipod LC50 (ug/L)
T1 : Base Catalyzed Hydrolysis (L/d)
T1 : Bass EC50 Growth (ug/L)
T1: Bass Elim. Rate Constant (1/d)
T1: Bluegill EC50 Dislodge (ug/L)
T1: Bluegill EC50 Repro (ug/L)
T1 : Bluegill LC50 (ug/L)
T1: Bluegreens Elim. Rate Constant (1/d)
T1 : Catfish EC50 Dislodge (ug/L)
T1 : Catfish EC50 Repro (ug/L)
T1 : Catfish LC50 (ug/L)
T1: Chironomid EC50 Growth (ug/L)
T1: Chironomid Elim. Rate Constant (1/d)
T1 : Const Load (ug/L)
T1 : Daphnia EC50 Growth (ug/L)
T1: Daphnia Elim. Rate Constant (1/d)
T1 : Diatoms EC50 photo (ug/L)
T1 : Diatoms LC50 (ug/L)
T1 : Gastropod EC50 Dislodge (ug/L)
T1 : Gastropod EC50 Repro (ug/L)
T1 : Gastropod LC50 (ug/L)
T1: Greens Elim. Rate Constant (1/d)
T1 : Henry's Law Const, (atm. mA3/mol)
T1 : Macrophytes EC50 photo (ug/L)
T1 : Macrophytes LC50 (ug/L)
T1 : Minnow EC50 Growth (ug/L)
T1: Minnow Elim. Rate Constant (1/d)
T1: Molecular Weight
T1: Mult. Non-Point Source Load by
T1: Multiply Loading by
T1 : Mussel EC50 Growth (ug/L)
T1: Mussel Elim. Rate Constant (1/d)
T1 : Octanol-Water Partition Coeff (Log Kow)
T1 : Oligochaete EC50 Growth (ug/L)
T1: Oligochaete Elim. Rate Constant (1/d)
T1 : Ostracod EC50 Dislodge (ug/L)
T1 : Ostracod EC50 Repro (ug/L)
T1 : Ostracod LC50 (ug/L)
T1 : Photolysis Rate (L/d)
99
-------
Ohio Stream with Chlorpyrifos (cont.):
T1: Sed/Detr-Water Partition Coeff (mg/L)
T1: Smallmouth bass EC50 Growth (ug/L)
T1: Smallmouth bass Elim. Rate Constant (1/d)
T1: Solubility (ppm)
T1: Stonefly EC50 Growth (ug/L)
T1: Stonefly Elim. Rate Constant (1/d)
T1: Trout EC50 Dislodge (ug/L)
T1: Trout EC50 Repro (ug/L)
T1: Trout LC50 (ug/L)
T1: Vapor Pressure (mm Hg)
T1: White sucker EC50 Dislodge (ug/L)
T1: White sucker EC50 Repro (ug/L)
T1: White sucker LC50 (ug/L)
T1: Yellow perch EC50 Growth (ug/L)
T1: Yellow perch Elim. Rate Constant (1/d)
TIPeri High-Nut : Const Load (ug/kg wet)
TIPeri High-Nut : Multiply Loading by
TIPeri Low-Nut D: Initial Condition (ug/kg wet)
TIPeri, Blue-Gre: Const Load (ug/kg wet)
TIPeri, Blue-Gre: Multiply Loading by
TIPeri, Green: Initial Condition (ug/kg wet)
T1: Sed/Detr-Water Partition Coeff (mg/L)
T1: Smallmouth bass EC50 Growth (ug/L)
T1: Smallmouth bass Elim. Rate Constant (1/d)
T1: Solubility (ppm)
T1: Stonefly EC50 Growth (ug/L)
T1: Stonefly Elim. Rate Constant (1/d)
T1: Trout EC50 Dislodge (ug/L)
T1: Trout EC50 Repro (ug/L)
T1: Trout LC50 (ug/L)
T1: Vapor Pressure (mm Hg)
T1: White sucker EC50 Dislodge (ug/L)
T1: White sucker EC50 Repro (ug/L)
T1: White sucker LC50 (ug/L)
T1: Yellow perch EC50 Growth (ug/L)
T1: Yellow perch Elim. Rate Constant (1/d)
TIPeri High-Nut : Const Load (ug/kg wet)
TIPeri High-Nut : Multiply Loading by
TIPeri Low-Nut D: Initial Condition (ug/kg wet)
TIPeri, Blue-Gre: Const Load (ug/kg wet)
TIPeri, Blue-Gre: Multiply Loading by
TIPeri, Green: Initial Condition (ug/kg wet)
100
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