Critique and sensitivity analysis of the compensation function used ...

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Contract NQ. kl-7405-eng-26
CRITIQUE AND SENSITIVITY ANALYSIS OF THE
COMPENSATION FUNCTION USED IN THE LMS
HUDSQN RIVER STRIPED BASS MODELS
1
W, Van Winkle, S. W, Christensen, and G. Kauffman
ENVIRONMENTAL SCIENCES DIVISION
Pub? i cation No. 944
'Graduate student, University o f Tennessee.
Date Published: December 1976
OAK RIDGE NATIONAL LABORATORY
Oak Ridge, Tennessee 37830
operated by
UNION CARBIDE CORPORATION
for the
ENERGY RESEARCH AND DEVELOPMENT ADMINISTRATION
0 RNL/TM- 543 7
3 4456 0507637 5

ABSTRACT
VAN WINKLE, W., S. W. CHRISTENSEN, and G. KAUFFMAN. 1976.
Critique and sensitivity analysis of the compensation
function used in the LMS Hudson River striped bass
model s . ORNL/TM-5437. Oak Ri dge National Laboratory,
Oak Ridge, Tennessee. p p .
The description and justification for the compensation function
developed and used by Lawler, Matusky & Skelly Engineers (LMS) (under
contract to Consolidated Edison Company of New York) in their Hudson
River striped bass models is presented. A sensitivity analysis of
this compensation function is reported, based on computer runs with
a modified version of the LMS completely mixed (spatially homogeneous)
model. Two types of sensitivity analysis were performed: (1) a
parametric study involving at least five levels for each of the three
parameters in the compensation function, and (2) a study of the form
of the compensation function itself, involving comparison of the LMS
function with Functions having no compensation at standing crops
either less than or greater than the equilibrium standing crops. For
the range of parameter values used in this study, estimates of percent
reduction are least sensitive to changes in YS, the equilibrium
standing crop, and most sensitive to changes in KXO, the minimum mortality
rate coefficient. Eliminating compensation at standing crops
either less than or greater than the equilibrium standing crops results
in higher estimates of percent reduction. For all values of KXO and
for values of YS and KX at and above the baseline values, eliminating
compensation at standing crops less than the equi 1 i bri urn standing crops
results in a greater increase in percent reduction than eliminating com-
pensation at standing crops greater than the equilibrium standing crops.
The conceptual basis for the LMS compensation function is criticized,
particularly the lack of a sound biological basis for the left limb of
the function. An alternative functional form is presented. The lack
of a relationship between any of the three parameters in the LMS
compensation function and measureable biological phenomena is also
criticized.
iii

iv
Together, the critique and sensitivity analysis of the compensation
function used in the LMS Hudson River striped bass models highlight the
need for caution in relying on these models to reach a reasoned decision
on the potential impact of the Hudson River power plants on the striped
bass population.

TABLE OF CONTENTS
ABSTRACT ............................. iii
LISTOF FIGURES ......................... vii
LIST OF TABLES .......................... ix
I NTRODUCT I ON ........................... 1
LMS FORMULATION OF COMPENSATION ................. 1
SENSITIVITY ANALYSIS OF THE COMPENSATION FUNCTION USING
THE LMS COMPLETELY MIXED STRIPED BASS MODEL ........... 8
Justification for Using the Completely Mixed Model ..... 8
Methods ........................... 8
Results ........................... 13
Page
Sensitivity analysis for YS .............. 15
Sensitivity analysis for KX .............. 17
Sensitivity analysis for KXO .............. 19
Disablement of the left or right limb of the
compensation function ................. 21
Summary ........................... 27
DISCUSSION ............................ 28
Conceptual Basis for the LMS Compensation Function ..... 28
Sensitivity Analysis .................... 32
REFERENCES ............................ 35
APPENDIX A . Cross reference listing of the Lawler. Matusky &
Skelly Engineers completely mixed model for the
Hudson River striped bass population. as modified
by Oak Ridge National Laboratory .......... 37
APPENDIX B . Input data cards for sample run ........... 67
V

vi
APPENDIX e. Output from sample run . . . . . . . . . . . . . . . 69
APFENDIX D. Tabulation of detailed results from the
various sensitivity analyses . . . . . . . . . . . . 89
Page

Figure
LIST OF FIGURES
Exponential mortality coefficient vs concentration
(Juvenile 1) (modified from Fig. 9 of ref. 2).
Equivalent symbol s used el sewhere in this report:
YS = N,; KX = KE; KXO = 16. ...............
Probability of survival vs concentration (Juvenile
1) (modified from Fig. 10 of ref. 2). Equivalent
symbols used elsewhere in this report:
YS = Pa,;
KX = KE; KXO = KO. ...................
Exponential mortal i ty coefficient vs concentration
(Juvenile 1) (modified from Fig. 9 of ref. 2),
showing the effect on the curve of disabling the
left or right limb of the compensation function.
Equivalent symbol s used el sewhere in this report:
YS N,; KX = KE; KXO = KO. ...............
Sensitivity of (a) percent reduction of year1 ings
(b) percent reduction of adults, and (c) NMAX/YS to
changes in YS values ..................
Sensitivity of (a) percent reduction of yearlings,
(b) percent reduction of adults, and (c) NMAX/YS to
changes in KX values ..................
Sensitivity of (a) percent reduction of yearlings and
(b) and (c) percent reduction of adults to changes in
KXO values. Figure 6c is a plot of results from model
runs by the applicant (Ref. 7) .............
Dependence of percent reduction in number of yearlings
at year 40 on the value of YS with neither limb of the
compensation function disabled (e-), left limb
disabled ( G 4 ) , and right limb disabled (OF) .
Dependence of percent reduction in number of yearlings
at year 40 on the value of KX with neither limb of
the compensation function disabled (e-), left
limb disabled (A+), and right limb disabled
(0--) .......................
Dependence of percent reduction in number of yearlings
at year 40 on the value of KXO with neither limb of
the compensation function disabled (t----.), left
limb disabled (A+), and right limb disabled
(o------Q) .......................
vi i
Page
4
6
12
16
18
20
22
24
26

viii
Figure Page
10 Schematic representation of the population density
correctl’on factor for the apparent survival
probability used in the ORNL computer simulation
model for the striped bass young-of-the-year
population in the Hudson River . . . . . . . . . . . . . 36

LIST OF TABLES
Table Page
1 Parameter values used by ORNL in its sensitivity
analysis of the LMS compensation function e . . . . . . . . 10
2
Code number and description of output variables
tabulated by ORNL . . . . . . . . . . . . . . . . . . . . 14
3 Values of maximum probability of survival (PSO)
corresponding to the KXO values used by LMS . . . . . . . . 33
ix

INTRODUCTION
The primary issue in controversy with respect to estimating the
effects of entrainment and impingement on the Hudson River striped bass
population is the extent to which regulatory agencies, utilities, and
society should rely on compensatory decreases in natural mortal i ty to
offset the increased mortality due to the power plants. This issue is
of particular importance in terms of how compensation is included in
striped bass simulation models, because the hand1 ing of compensation
appears to account for the major part of the difference among
estimates of percent reduction in the striped bass population.
The objectives of this report are (1) to present the description
and justification for the compensation function developed and used by
Lawler, Matusky & Skelly Engineers (LMS) (under contract to Consolidated
Edison Company of New York), and (2) to present a sensitivity analysis
and critique of the LMS compensation function.
1,2,3
LMS FORMULATION OF COMPENSATION
LMS describes and justifies the mathematical formulation for
density-dependent mortality of early life stages, which is used in all
three of the LMS striped bass models to estimate the percent reduction
due to power plant operation, as follows: 2
"Quantitative accounting for compensation in biological
systems is simply a recognition that, as in'other physical
systems, first order kinetics cannot be employed to describe
survival kinetics over the whole range of population. This
recognition requires that rather than using the simple first
order decay function exclusively to describe natural survival
behavior, a more complex expression must be employed.
"'This expression should reduce to the first order function
over the range of populations where such is appropriate, but
should also recognize the tendency of the system to compensate
itself when driven substantially beyond this range in either
the direction of increased populations or in the direction
of decreased populations. This is the concept of homeostasis
or 'biofeedback', that is, that a living system tends to be
self-stabilizing.

"The first order decay expression is written:
in which:
Rate of mortal ity, fishlunit volurne/day = KEN
2
N = number of fish per unit volume of water
KE = unit first order decay rate, a constant having the
units of days -I.
"This expression was used in the early modeling El] to describe
the natural mortality behavior in any life stage. The
numerical value of KF is obtained when the duration of the
stage in days and thhe percent survival for that stage are known.
in which:
"The kinetic expression employed in the transport model
was developed by employing the first order form, in which a
general rate coefficient K, rather than the constant KE, is
introduced and is allowed to vary with fish concentration.
"For any stage, K is varied with the prevailing concentration
so that the rate of mortality in that stage increases with
increasing concentration (due to crowding , 1 ess food per
unit number of fish, more food [fish] for predators, etc.)
and decreases with decreasing concentration for the converse
reasons. Thus, the concept of homeostasis is preserved in
the model.
"The functional form chosen for variation of K is:
K =: general ized unit mortal i ty rate, day-'
KE = conventional first order or "equilibrium" rate,
day-l
KO = minimum unit mortality rate consistent with system
biology, day-'
Ns = "saturation" or equilibrium population level, fish
per unit volume
N = actual fish concentration at any point in time
(week and year) and space (river location)

"This kinetic model has been devel oped after extensi ve
review of population dynamics literature ([a] through
[f]). Many of the concepts described herein are presented
in these earlier references in a largely qualitative
fashion; they have been quantified here.
"Figure [l], which is a graphical representation of the
behavior of Equation 1 for a given set of rate constants
(KE, KO, Ns), shows how the generalized rate coefficient,
K, varies with population density. Explanation of the
behavior of Equation 1 and Figure [l] follows. [The
Figure 1 in this report is a modified version of the
original LMS Figure 9 of Ref. 2.1
"Consideration of Equation 1 shows that when the actual
population, N, is equal to the "saturation" population,
the K rate reduces to the constant KE, signifying
normal first order behavior.
"What we are saying is that, on a long-term basis,
exclusive of the plant's effect, we are considering
the estuary juvenile striped bass population to have
reached some "saturation1' or "equilibrium" level
This does not imply that the estuary can never support
more life - it simply says that for the existing set
of background conditions , i .e. , conditions both
natural and man-made that exist prior to the operation
of the plant, the river is "in balance'' or is supporting
that level of life which it is capable of supporting,
considering all the external factors, both good and bad,
that presently exist.
aNicholson, A. J., "The Self Adjustment of Population to Change,"
Cold Spring Harbor Symposium, 1957, Quant. Biol. 22:153-132.
3
bNicholson, A. J., "An Outline of the Dynamics of Animal Populations3"
Australian Journal of Zoology, 2:9-65, 1954.
'Smith, F. E., "Population Dynamics in Daphnia magna and a New
Model for Popul ati on Growth, I' Ecol ogy 44: 651 -663, 1 963
dErrington, P. L., "Factors Limiting Higher Vertebrate Populations,"
Quart. Rev. Biol, 21 :144-177, 1946.
e
Mangersky, P. J., Cunningham, W. J., "Time Lag in Population Models,"
Cold Spring Harbor Symposium, 1957, Quant. Biol. 22:329-338.
fPatten, B. C., "System Analysis and Simulation in Ecology,'' Academic
Press, New York, pages 275 through 278, 1971 .)

0.1 8
0.1 6
0.1 4
0.12
; 0.10
W
\
-
t
o. a
0.6
0.4
0.2
4
OHN L- DWG 76 -885 6
NMAX/ N,, RATIO OF MAXIMUM MODEL-CALCUL-ATEB CONCENTRATIQN TO
0
0 0.2 0.4 0.6 0.8 1.0
N, CONCENTRATION (nurnber/1000 f13)
1.2 4.4
Fig. 1. Exponential mortality coefficient vs concentration
(Juvenile 1) (modified from Fig. 9 of ref. 2). Equivalent symbols
used elsewhere in this report: YS = N,; KX = KE; KXO = KO.

"These include, for exaniple, the possibility that
railroad construction before the turn of the century on
both sides of the river may have cut off some natural
nursery areas, that the Sacandaga and Indian
Lake Reservoirs in the Adirondack Mountains near the
headwaters of the Hudson are probably posing a different
freshwater regime than once existed, etc,
"Whether we are close or far from the theoretical
ultimate saturation that might be reached under the
best of conditions is beside the point. We are only
interested in saying that before a specific new
influence enters the river, the river is probably not
in a state in which significant departure from a
balanced populatian exists.
"The mathematics chosen represent this notion quite
well The plateau shown in Figure [l], extending over
a concentration range of .42 [per one thousand] cubic
feet to .68 [per one thousand] cubic feet of juvenile
I'sg and in an approximate sense over an even broader
range, corresponds to the saturation level. The decay
rate is constant at -0536 day-1 the chosen value of KE.
Note that this corresponds to 20% survival over 30 days
of life of any juvenile I: complement.
over this relatively broad range are essentially first
order, the system is in relative balance or at relative
equilibrium, and there is little active compensation.
The important point is that this numerically apparent
non-compensatory behavior is occurring over a re1 ati vely
broad range centered about "existing" conditions in
the river.
5
The kinetics
""Tis notion is shown again in Figure [2] where survival
rate versus concentration is plotted. [The Figure 2 in
this report is a modified version of the original LMS
Figure 10 of Ref. 2.1. The daily survival rate at
which relative equilibrium is attained for this stage is
.948. Mote that the carrying capacity concentration
satisfying this plateau is in the range -42 to .68 per
one thousand cubic feet for given values. On either
side of this plateau, we observe either an increase or
decrease in survival of existing concentration. Survival
increases to compensate for lower concentration and
decreases ta compensate for higher concentration.
"NOW, Equation 1 also indicates that as the fish con-
centration drops off, because of induced population-
draining effects, the rate of mortality, K, continues
to decrease until a minimum rate of mortality, l$, is
reached. K approaches KO as the population decreases

0.98
0.96
0.94
2 0.92
1
>
n
3
cn
& 0.90
>-
t
II
.-
m
a
m
0.88
a
t
. J
-
a
n
- 0.86
0,
0.84
0.8 2
0.80
6
0 RN L- D WG 76 - 0 8 5 7
NMAX/N, , RATIO OF MAXIMUM MODEL-CALCULATED CONCENTRATION TO
EQUl L IBR IUM CONCENTRATION
0.5 4 .O 2 .o
0 0.2 0.4 0.6 0.8 1.0
A/, CONCENTRATION (number/!000 ft3)
t- ~
1.2 1.4
Fig. 2. Probability of survival vs concentration
(Juvenile 1) (modified from Fig. 10 of ref. 2). Equivalent
symbols used elsewhere in this report: YS = N,; KX = KE;
KXO = KO.

toward zero. Thus, may be interpreted as the minimum
rate of mortality that will exist in the system when
population influences on mortality (competition for food,
availability to predators, etc.) are eliminated.
"In this sense, KO has the same system interpretation as
does KE and Ns, i.e., it is representative of the "now"
condition in the estuary, taking into account all positive
and negative, natural and man-made influences on the
system.
"Equation 1, therefore, shows that, as concentrations
ape reduced by plant effects, the mortality rate due
to other effects will decrease, thereby compensating
partially for the smaller numbers by allowing a
larger fraction of the fish that remain to advance
to the next stage. This will only partially offset
the effects of the plant, since each early stage is
subjected to elther entrainment or impingement by the
plant.
"Note that in the presence of a factor which will
tend to increase population, such as a year in which
"everything is right," the mortality rate, K, will
exceed KE and the tendency to increase the population
will be controlled. Thus, compensation can be seen
to be the mechanism which keeps a fluctuating
population under control.
non-compensating feed back system is discussed in
detail in the early testimony.[l]
7
The fate of a fluctuating
"In summary, then, Equation 1 was chosen to represent
background or existing survival kinetics in the model
because it operates in a noma1 first order fashion
about existing concentrations and will permit partial
compensation if significant departures from existing
levels occur upon introduction of new influences."
LMS uses exactly the same compensation function in its real-time,
two dimensional model .3 With one modification, LMS also uses the
same compensation function in its completely (totally) mixed model
(i.e., spatially homogeneous model).' The one modification is that
the "saturation" or equilibrium population density (fish per
Ns 9
unit volume) used in the two transport models, is replaced by YS, the
"saturation" or equilibrium standing crop for the entire Hudson River
estuary .

SENSITIVITY ANALYSIS OF THE COMPENSATION FUNCTION
USING THE LMS COMPLETELY MIXED STRIPED BASS MODEL
Justification for Using the Completely Mixed Model
8
As indicated in the preceding section, LMS uses essentially the
same compensation function in all three or its striped bass models.
We selected the completely iiiixed model for the detai 1 eii sensi ti vi ty
analysis of this function because it is the easiest and least expensive
of the three models to run. We have also performed a sensitivity
analysis of the LMS compensation function using the LFSS tidai -averaged,
4
one dimensional model.
Met ho cl s
We started with the deck of computer cards for the transport and
5
completely mixed models as supplied and documepted' by LMS and Can
Edison. These two models consist of subroutines of a main program,
with the main program calling whichever model is specified. We
modified the main program to call only the cample"c1y mixed model and
left only those few subroutines required for the csmplletely mixed
model. Additional changes were made in the program, relating primarily
to input and output. lhe basic mathematical formulation of the model
was not altered except in one part of the investigation [the flattening
out horizontally (i.e., disabling) of the right or 1eT.t limb of the
compensation Function]. A listing of the computer program as used by
ORNL is given in Appendix A. Input data cards for a sample run are
given in Appendix By and output from the sample run is given in Appendix
C.
We performed two types of sensitivity analysis: (1) a parametric
study involving a range of values for each of the three parameters in
the compensation function, and (2) a study of the form of the cempensation
function itself involving disabling the left or right limb.
The LMS compensation function has three parameters for each life
stage:
YS(rNs), the saturation or equilibrium standing crop; KX(=KE)

9
the corresponding equilibrium mortality rate coefficient; and KXO(-K0),
the minimum mortality rate coefficient (see Figs. 1 and 2). (The
variables in all capital letters are the computer variable names, which
are used throughout the remainder of this report. The variables in
parentheses are the mathematical symbols used by Lawler, Matusky &
Skelly Engineers as quoted earlier in this report.) For each of these
three parameters we carried out a separate sensitivity analysis using
at least five different values for the parameter. The values of the
remaining two parameters were held constant at the baseline values.
The baseline parameter values [Table l(a)] were selected as
follows. The probability of survival (PS) and duration (DTE) were
specified for each life stage. The PS values were selected so that
the probability of survival frwm egg to yearling was 0.00001 and the
p ~ o ~ ~ of ~ survival i l i from ~ ~ Juvenile 1 through Juvenile 3 was 0.01,
with the probability of survival the same for each of the three
juvenile life stages. The DTE values are those used by LMS except
for eggs (2.0 vs 1.5 days) and Juvenile 2 (100 days vs 180.5 days).
aseline KX values were ca7culated as -ln(PS)/DTE. The model was run
using these KX values and KXO = KX for each life stage (i.e., no
compensation) without the power plant in Operation. The program was
modified ta select and print NMAX, the maximum standing crop calculated
for each life stage during the simulation. Then baseline YS values
were taken as one-half of these maximum standing crop values. The
choice of one-half was designed to assure that both limbs, as we17
as the plateau, of each compensation function would be utilized.
Baseline KXQ values were calculated as 0.8 KX. Additional levels
for the values of the equilibrium standing crop (YS), the equilibrium
mortality rate coefficient (MX), and the minimum mortality rate
coefficient (KXO) were obtained by using the mu1 tip1 icative constants
(denoted AYS, AKX, and AKXO, respectively) in Table l(b). Note that
level 4 of AYS, level 4 of AKX, and level 3 of AKXO (l”.e., KXO=O.8 KX)
correspond to the baseline set of parameter values.

10
Table 1. Parameter values used by ORNL in its sensitivity analysis
of the LMS coiiipensation function
(a) Baseline values
Parameter Life stage
_. ......... .
Symbo 1 a Units Eg$ Larva Juvenile 1 Juvenile 2 Juvenile 3
PS
DT E
YS(z N
S
KX(- KE
KXO( =KO
...........
0.1 0.01 0.21 5 0.215 0.215
Days 2 28 30 100 158
No. of
organisms
---- 1.47E9' 2.65E7' 8.98E6' 2.29E6'
Day-' 1.15 0.164 0.0511 0.0124 0.00972
Day-' _--- 0.132 0.0409 0.00996 0.00778
aPS = probability of survival through the life stage; DTE = duration of
the life stage; YS = saturation or equilibrium standing crop; KX = equilibrium
mortality rate coefficient; KXO = minimum mortality rate coefficient.
bORNL and LMS assume no compensation occurs in the egg stage.
9
'Fortran exponential notation; e.g., 1.47E9 = 1.47 x 10 .
dFor each life stage, KXO = 0.8 KX; e-g., for larvae 0.132 = 0.8 (0.164).
(b) Multiplicative constantse
Level AYS A K X ~ AKXO~
1 0.2 0.5 0.3
2 0.5 0.75 0.5
3 0.75 0.9 0.8
4 1 .o 1 .o 0.9
5 1.5 1.1 1 .o
6 2 .o 1.2
7 5 .O 1.3
e
For a given paraiiieter (i .e., YS, KX or KXO) and model run, the same
multiplicative constant: (value of AYO, AKX or AKXO, respectively) was used for all
four life stages. Parameter values are calculated in the computer program by
multiplying the baseline values in Table l(a) by multiplicative constants selected
from Table l(b).
fI~i the sensitivity analysis for KX, KXO values were always calculated as
0.8 times the KX value being used. For example, for larvae and AKX = 0.5, the KX
value used in the model is 0.5 (0.164) = 0.082. Then the KXO value used in the
model is 0.8 (0.082) = 0.0656.
gThe AKXO multiplicative constants were applied to the baseline KX values
(Table l(a)). The approach was to specify a value for the ratio KXO/KX(- AKXO)
(e.g., 0.3), and then given the baseline KX value (e.g., 0.164 for larvae) to
calculate KXO as KXO = AKXO-KX for the different levels of AKXO given in
Table l(b) (e.g., KXO = 0.3 (0.164) = 0.0492).

11
The range OT values used for each parameter was large enough
to evaluate the sensitivity of the model to parameter variations in
the neighborhood of the baseline values. We have not included results
for what we consider to be extreme variations in parameter values.
Extreme variations around the baseline values do provide further insight
into the operatian of the LMS compensation function, but they tend to
be inconsistent with the LMS conceptual justification far the function
of controlling population levels about an equilibrium point.
In addition to the above parametric study of the LMS compensation
function, we examined the sensitivity of the results to the form of
the function itself by disabling either the left limb or the right
limb (see Figs. 1 and 2). Again, when values of one parameter were
changed, the values of the remaining two parameters were held constant
at the baseline values. Note that disabling both arms simultaneously
eliminates compensation from the model and is equivalent to the case
with AKXO = 1 .O.
The left limb was disabled for each life stage by setting the
cubic term in Eq. (1) equal to zero whenever the standing crop at
time t, N(t), was less than the equilibrium standing crop, YS; ?.e.,
whenever N(t) < YS. The right limb was disabled in a similar manner,
but based on the test condition N(t) > YS. Figure 3 provides an
example of the resulting shapes of the LMS compensation function when
the left limb or right limb is disabled. The effects of disabling
the left limb or the right limb were compared with each other and
with the case of neither arm disabled.
The model was run for 41 years (year 0 through year 40) for
each parameter combination and form of the compensation function. The
output for year 0 provided results with no power plant; the output for
year 1 provided results with the power plant operating for 1 year;
and the output for year 40 provided results with the power plant
operating for 40 years. The hypothetical power plant considered in
these model runs had an intake flow of 8000 cubic feet per second (cfs),
which is more than the combined intake flows of Indian Point Units.

0.1 8
0.1 6
0.1 4
0.12
c
," 0.10
W
\
..
.rk
12
ORNL. -DW6 76-8855
NMAX/ N,, RATIO OF MAXIMUM MGDEL-CALCULATED CONCkNTRAIION TO
LEFT LIMB
DISABLED,
EQUILIBRIUM CONCENTRATION
0.5 1 .G 20
1 P---
RIGHT LIMB DISABLED
/
I I I I I I 1 I I I
JUVENILE -I/iOOO ft3
. . :.
0
0 0. z 0.4 0.s 0.8 1 .o 1.2
N, CONCENTRATION (numttar/1000 ft3)
Fig. 3. Exponential mortality coefficient vs concentration
(Juvenile 1) (modified from Fig. 9 of ref. 21, showing the effect
on the curve of disabl ing the 1 e ft or right 1 imb of the csmpensa-
tion function. €qui val ent symbol s used el sewhere in tki s report:
YS N,; KX = KE; KXO = KO.

1, 2, and 3 (4585 cfs) and less than the combined intake flows at
13
Indian Point plus Bowline, Lovett, Roseton, and Danskammer (9750 cfs).
A composite f-factor value of 0.5 was used for each of the three
entrainable 1 ife stages (eggs larvae, and Juvenile 1 ). (We have also
performed a combined sensitivity analysis for compensation parameters
and f-factors using the LMS tidal-averaged, one dimensional transport
model .4)
The code number and description of output variables we have
tabulated for each model run are given in Table 2. Variables 1-15 are
.For production into a life stage, ratio of maximum standing crop to
equil ibriurn standing crop (NMAX/YS), and percent survival through the
life stage for each of the five young-of-the-year life stages. In
addition, there are variables for number of yearlings produced (16),
total number of adults -in the population (17), relative number of adults
in age classes 1, 2, and 3 (181, and annual probability of survival for
adults in each of age classes 4 through 73 (19). Values of variables
9-19 were tabulated for years 0, 1, and 40. Variables 62-74 are the
“impact variables.’’ The percent reduction caused by the power plant is
cal CUI ated for each young-of-the-year 1 i fe stage and for yearl i ngs and
total number of adults. As an example, percent reduction in the number
of yaung-of-the-year striped bass surviving to become yearlings after
one year of power plant operation is calculated as:
10
(Number of year1 ings produced in year 0 - Number of
-_I__
yearl ings produced in year 1)
Number of yearlings produced in year 1
Values of variables 62-74 were tabulated for years 1 and 40, with
year 0 (no power plant) as the reference condition in both cases.
Results
Detailed results corresponding to the variables in Table 2 are
given in Appendix D, Tables D1-D6. Graphs in this Results section are
based on values from these tables.

14
Table 2. Code number and description of output variables
tabu1 ated by ORNL.
.........
.........
Output variable
b
codea Description of output variable
.
.
.........
........
01 Number of eggs produced
03 Percent survival through the egg life stage
04
05
Number of 1 arvae produced
NMAXIYS for larvae
06 Percent survival through the larval life stdge
07 Number of J1 produced
08 NMAXIYS for larvae
09 Percent survival through J1
10 Number of 52 produced
il NMAXIYS for 52
12 Percent survival through 52
13 Number of 53 produced
14 NMAXIYS for 53
15 Percent survi Val through 5.3
16
17
18
Number of yearlings produced
Total number of adults
Relative age composition in the first three age
classes
19 Annual probability of survival for adult age
classes 4-1 3c
Impact Vari ab1 e?
62
64
66
68
70
71
72
73
74
___
Percent reduction in number of eggs produced
Percent reduction in number of larvae produced
Percent reduction in number of Jl produced
Percent reduction in number of 52 produced
Percent reduction in number of 53 produced
Reduction in number of yearlings produced
Percent reduction in number of yearlings produced
Reduction in total number of adults
Percent reduction in total number of adults
-.
____. .........
aVariables 1-'I8 are used for each of year 0 (power plant off) and
years 1 and 40 (power plant on); variables 62-74 are used for each of
years 1 and 40 and refer to percent or number reductions at year 1 and
year 40 relative to year 0. See text for definition of percent reduction.
bNMAX is the maximum standing crop occurring in a given model run
for the indicated life stage; YS is the saturation or equilibrium stand-
ing crop for the indicated life stage and is an input parameter; J1
denotes the Juvenile 1 life stage; 52 denotes the Juvenile 2 life stage;
53 denotes the Juvenile 3 life stage.
'Variable 19, the annual probability of survival for adults in each
of age classes 4 through 13, is calculated during year 0 using an
iteration scheme. It is calculated to satisfy the constraint that,
given the values for all of the other parameters in the model, this is
the annual probability of survival for adults that results in a constant
adult population with no power plant. This parameter is then held
constant for years 1 through 40.
-~

15
Sensitivity analysis for YS, the equilibrium standing -
sx9.
The dependence of percent reduction in number of yearlings (age
class 1) and number of adults (age classes 1-13) on YS (Ns of Ey., 1) is
quite complicated (Figs. 4a and 4b>, although two basic trends stand
out and merit comnent. Values of YS less than the baseline values (that
is, where the multicative constant AYS 1 .O> result in lower percent
reductions than for the baseline case. Values of YS greater than the
basellne values (AYS > 1.8) result in higher percent reductions, As
would be expected, these trends are more obvious at year 40 than at
year 1. For example, at year 40 the percent reduction a’n number of
adults ranges from I5 to 49%, while at year 1 the percent reduction
ranges from 7 to 12% (Fig. 4b). It is important to note that these
variations are due to relatively small changes in YS from one-half (AYS =
0.5) to twice (AYS = 2-01 the baseline values.
The curves in Figs. 4a and 4b nay be explained, in part, by the
shape of the curves in Fig. 4c. Again YS is the equilibrium standing
crop for a given 1 ife stage, which was varied over seven levels by
means of the multiplicative constant AYS; the value of YS fixes the
location of the plateau of the compensation function along the abscissa
(Figs. 1 and 2). NMAX is the maximum standing crop calculated far a
given life stage during each simulation. Thus, the ratio NMAX/YS is an
indicator of the right-most point on the compensation curve actually used
in a given model run (Figs. 1 and 2; note the X-axis scale at the top of
these figures). For example, if NMAX/YS = 1.0 for a given life stage,
this means that the simulated standing crop reached a maximum value of
YS; thus, only the left limb of the compensation function was used at
all. As indicated in Fig. 4c and as would be expected, increasing YS
(AYS > 1 .O) causes NMAX9YS to decrease, eventually to less than 1 .O.
Decreasing YS (AYS < 1 .0) causes NMAX9YS to increase, although for
AYS - < 0.5 the value of NMAX/YS ultimately decreases for the juvenile
life stages.
Considered together, Figs. 4a, 4b, and 4c indicate that at YS
values slightly above the baseline levels (1.0 AYS - < 2.0), NMAX

v)
k l
2
J
0
K
W
u3
50
40
z
3 30
z
r
P
52
3
n
W
(r
V
lx
W
b
20
(0
0
16
...
..........
--
..................
ORPdL-D9G 76-7908R
.........
YEAR 40
....................
JUVENILE 3
...........
0 I ..... 1 ...... I... 1
0 i 2 3 4 5
V4L.UE OF AYS
Fig. 4. Sensitivity o f (a) per-
cent reduction of yearlings, (b) per-
cent reduction of adults, and (c)
NMAX/YS to changes in YS values.

YS approach each other and the populations spend more time oyi the
plateau (region of no compensation) and left limb of the compensation
vsction, with the result that percent reduction increases. At YS
values greater than
1% the populations are restra'cted
to the left limb (wh
atory at all points), with the
result that percent reduction decreases slightly, As YS decreases
below the baseline levels (AYS < ? .O) the inodel tends ta operate
more on the right limb of the compensation function, which gets
progressively steeper (i .e., stronger compensation), with the result
that percent reduction decreases.
.--__.l-m__.._ Sensitivity analysfs for KX9 the first - order mortality
rate coefficient
The dependence of percent reduction in number of yearlings an
strated in Fig, 5. Values
of KX less than the baseline values (that is, where the ~ ~ l t
constant AKX < 1 .O) result in lower percent reductions than the
base?ine case. Values of KX greater than the baseline values (AKX :> 1-03
result in higher percent reductions. Again, these trends are more
obvious at year 40 than year 1. For example, at year 465 the percent
reduction in number of' adults ranges from 3 %o 44%, while at year 1 the
percent reduction ranges from 2 to 10% (Fig. 5b), Estimates of
percent reduction are particularly sensitive to changes in KX in
the n~ighbor~ood of the baseline values (0.75 I c: AKX I 1 1 ).
The curves in Figs, 5a and 5b may be explained by the curves in
Fig. 5c, which is analogous in derivation to Fig. 4c. Again, the
ratio NMAX/YS is an indicator of the right-most point on the co~i~~~sation
curve used in a given model run (Figs. 1 and 2; note the X-axis
scale at the tap of these figures). Increasing K): (AKX > 1.0) muses
~ ~ ~ to X decrease, ~ Y S eventually to less than 1 .Id for a31 three
juvenile life stages. Decreasing KX (AKX < 1.0) causes ~ ~ to
~ X ~
increase to values considerably greater than 2.8, which is the approximate
baseline ratio for all four life stages.
Considered together, Figs. 5a, 5b, and 5c indicate that at KX
slightly above the baseline levels (1.0 < AKX 5- 1.11, natural mortalit

m
0
z
-I 40
(L
a
W
>
lL
0
E 30
m
5
E
z
0
!-
V
3
n
k
e
w
V
20
10
a I-
k 0;
LL
0
u
w
m
I
3
z
r
z
0
+
U
3
CI
w
K
k
z
W
V
a
w
a
m
>
\
X
a
5
P
...... .-
1
18
---"
-. ................... -. .
ORNL-DWG 76.- 7906
---.,
0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3
VALUE OF AKX
Fig. 5. Sensitivity of (a) percent reduction of
yearlings, (b) percent reduction of adults, and (c)
NF14XIYS to changes in KX values.

19
increases, and thus, NMAX decreases and approaches YS as the populations
spend more time on the plateau (region of no compensation) and left
limb of the compensation function. As a result percent reduction
increases. At still higher KX values (AKX 1.1 >, NMAX becomes less
than YS and the populations are restricted to the left limb which is
compensatory at all points. As a result percent reduction decreases
slightly. As KX decreases below the baseline levels, natural mortality
decreases and thus NMAX increases and the populations spend more time
on the right limb of the compensation function, which gets progressively
steeper (i .e., stronger compensation), with the result that percent
reduction decreases.
Sensitivity analysis of KXO, the minimum mortality rate
coefficient
The dependence of percent reduction in number of yearlings and
number of adults on KXO (KO of Eq. 1) is illustrated in Fig. 6. Values
of KXO less than the baseline values (that is, where the multiplicative
constant AKXO I
< 0.8) result in lower percent reductions than the base-
line case. Values of KXO greater than the baseline values (AKXO > 0.8)
result in higher percent reductions. Once again, these trends are
more ovbious at year 40 than year 1. For example, at year 40 the
percent reduction in number of adults ranges from 8 to 85%, while at
year 1 the percent reduction ranges from 4 to 14% (Fig. fib). Estimates
of percent reduction are particularly sensitive to changes in KXO
above the base1 ine values but become progressively less sensi tive
bel ow the basel i ne val ues .
The curves in Figs. 6a and 6b may be explained as fallows. The
major effect on the compensation curves (Figs. 1 and 2) of changing
KXO, while holding YS and KX constant, is to increase (ADO > 0.8) or
decrease (AKXO > 0.8) the steepness of both the left and right limbs.
When AKXQ = 1.0, a horizontal straight line at KXO = KK results; this
case corresponds to no compensation. Values of KXO greater than KK
(AKXO > 1 .O) are theoretically possible, but they have not been used
in the present study; such cases correspond to depensatory mortality,
i.e., a decrease in the mortality rate as standing crop increases,

t-
r O
w
20
I
~II
(a)
. .-
.....
-. ................
-YEAR P
- -YEAR 40
..........
.............
-..............I .
.............
--T-
t---
YEAR 4
- -YEAR “PO
-E
.. ._ ............
I /
0 0.2 0.4 0.6 0.8 4.0
VALUE Of AKXO
Fig. 6. Sensitivity of (a) percent r-edwc-
tion of yearlings and (b) and (c) percerit redus-
lion of adults to changes in KXO values. Fig.
6c is a plot of results from model runs by the
applicant (Ref. 7).

21
As the limbs sf the ~ ~ ~ ~ e ~ function s a t i become ~ n steeper3 the effectiveness
of compe~sa~ory changes in mortality -in the model increases, and
estimates of percent r ~ ~ decrease. u ~ ~ i ~ ~
This aspect of our sensitivity analysis has also been ~~~~~~~~~~
The rnajsr difference ~~~~~~~~
b,y LMS with similar results7 (F-ig. 6c)the
two analyses is that the LMS curve is shifted ownwards and covers
a narrower range of percent reduction values. This difference is due
primarily to the use by LMS of:: (’8) lower f-factom (for discussion of
f-factors, see Ref. Ed, pp. V-87 to V-1 1) for eggs, larvae, and duvenile
E .4, 0.4, O,2) versus (0.5, 0.5, O.5)]; (2) lower total power plant
intake flow [2642 cfs (Indian Poa’nt Units 1 and 2 with ~ ~ ~ ~ - t . ~
cooling) versus 8080 cfs (hypothetical power plant)]; and (3) a IO-yeznr
versus a 4.0-year simul ati an.
Disablement of I- the ._. .- .- left or right limb of the compensation -_-_.-----
func ti on
lll.^-l
__. Dependence on YS. .- The dependence of percent reduction in number
of yearlings at year 40 an YS with neither limb of the compensation
function disabled, left limb isabled, and right limb disabled is
i1 lustrated in Fig. 7 The curve for neither 1 imb disabled is the
same as the curve for year 40 in Fig. 4a, Disabling the left limb
results in higher percent reductions, especially for YS at and above
the basel ine values (AYS - 1.0). Disabling the right limb also results
in higher percent reductions, especially for YS at and below the baseline
values (AYS < 1.D).
The curves in Fig. 7 may be explained as follows, Disablin
either limb decreases t e range of standing crops over whic
tory changes in mortality can occur (Fig. 3). In addition, decreasing
YS (AYS s‘ 1.0) accentuates the importance of the right limb of the
~ ~ ~ ~ function ~ n i ~ offsetting a t i power ~ plant ~ mortality, wh’ile
increasing US(AYX 1.0 accentuates the importance of the left 1 imb
I 3). Thus, disabl ng the 1 eft 1 imb in combi nati
values z 1 .O markedly increases percent reduct ons (Fig. 7). Likewise,
disabling the right limb in combination with A S vallies 1 .cd ~ ~ a ~ ~ ~
increases percent reducta” ons

22
I I I
-. . . .. . ... .... . ... ..... .,
1 2 3 4 5
VALUE OF
Fig. 7. Dependence of percent reduction in number of yearlings
at year 40 an the value of YS with neither limb of the compensation
1 eft 1 imb di sabl ed (A----------A>, and right
function di sabl Ed (a- 1
limb disabled (OF).
a

23
. The dependence of percent reduction in number
of yearlings at year 40 on KX with neither limb of the Compensation
function disabled, left limb disabled, and right limb disabled is
illustrated in Fig. 8. The curve for neither limb disabled is the
same as the curve for year 40 in Fig. 5a. The curve for the left
limb disabled is similar in shape to that for neither limb disabled.
However, the percent reduction values with the left limb disabled are
approximately double the values with neither limb disabled for KX at
and above the baseline KX values (AKX - > 1.0). With the right limb
disabled the dependence of percent reduction on KX is the reverse of
that with neither limb disabled or the left limb disabled. Percent
reduction is highest for small KX values (AKX < 1.0) and decreases
far large KX values (AKX
‘I imb di sabl ed.
1 .O) to approach the curve for neither
The curves in Fig. 8 may be explained as follows. Again, disabling
either limb decreases the range of standing crops over which compensatory
changes in mortality can occur. Decreasing KX (AKX < 1 .O)
decreases mortality, and thus increases standing crops and NMAX
values (Table D5). As a result the left limbs of the compensation
functions become relatively unimportant, and consequently, disabling
the left ’limbs does not have much effect on percent reduction at low
AKX values. On the other hand, because of the increases in standing
crops and NMAX values, the right limbs of the compensation functions
are of greater importance; consequently, disabling the right limbs at
low KX values results in tremendous increases in percent reduction
(Fig. 8).
Increasing KX increases mortality, and thus decreases standing
crops and NMAX values {Table D5). As a result the right limbs of the
compensation functions become relatively unimportant, and consequently,
disabling the right limbs does not have much effect on percent reduction
at high AKX values (Fig. 8). On the other hand, because of the
decreases in standing crops and NMAX values, left limbs of the compensation
functions are of greater importance. Consequently, disabling the
left limbs at high KX values increases percent reduction.

6
0
u--
....... ~
r
....... ~
................
..................
0
bv
--e-
.-____.
8
_.
................ .-
24

25
The sl-ight decrease in percent reduction at AKX = 1.2 (the model
is unstable at A H = 1.3) from the apparent maximum percent reduction
at AKX = 1.1 for the ease of the left limb disabled merits comment
because this result reflects a subtle balancing of opposing effects.
As AKX increases from 1.1 to 1.2, the resulting higher mortality rates
have the effect of decreasing standing crops and NMAX values and of
driving the life stage populations off the rlght limbs of the compensa-
tion functions. Tn fact, as indicated in Table D5, b.y year 40 NMAX is
considerably less than YS for each life stage, and because the left
limbs of the compensation functions are disabled in this case, there is
no compensation in effect during the latter years of these model runs.
As AKX increases from 1.1 to 1.2, however, the right limbs of the
compensation functions become steeper (i .e., stronger compensation).
During the earlier years of the model run when the NMAX values are
still 'larger than the YS values, percent reduction decreases as AKX
increases from 1.1 to 1.2, due to the increasingly strong compensation.
This trend during the earlier years carries over to year 40 and accounts
fot- the decrease in percent reduction at AKX = 1.2.
Dependence on KXO. The dependence of percent reduction in number
of yearlings at year 40 on KXO with neither limb of the compensation
function disabled, left limb disabled, and right limb disabled is
illustrated in Fig. 9. The curve for neither limb disabled is the
same as the curve for year 40 in Fig. 6a. Disabling either the left
or right limb of the compensation function results in higher percent
reductions, especially for KXO at and below the baseline value (AKXO
- < 0.8).
Disabling the left limb, as compared to the right limb,
results in somewhat higher percent reductions. The relative steepness
of the three curves in Fig. 8 indicates that the sensitivity of the
model to the value of KXO is greatest when neither limb is disabled
and is least when the left limb is disabled.
The curves in Fig. 9 may be explained as follows. Disabling
either limb decreases the range of standing crops over which compensatory
changes in mortality can occur. In particular, disabling the left
limb eliminates compensatory changes in mortality for standing crops

26
0 0.2 0.4 0*6 8.8 1.0
VALUE OF AKXO
Fig. 9. Dependence of percent reduction in number of yearlings
at year 40 on the value of KXO with neither limb of the camyensation
function disabled (e-)
left limb disabled (A------A), and
right limb disabled (o---------o).

27
less than YS, while disabling the right limb eliminates compensatory
changes for standing crops greater than YS (Fig. 3). Figure 9 indicates
that both limbs of the compensation function are important in off-
setting power plant mortality for all values of KXO, but that the left
limb is the more important of the two.
Sumtiiary
(1) Two types of sensitivity analysis were performed: (a) a para-
metric study involving at least five levels for each of the three
parameters in the compensation function, (b) a study of the form of
the compensation function itself involving disabling the left or right
1 imb.
(2) The model was run for 41 years (year 0 through year 40) for
each parameter combination and form of the compensation function--year
0 with no power plant and years 1 through 40 with a power plant. The
hypothetical power plant had an intake flow of 8000 cfs. A composite
f-factor value of 0.5 was assumed for each of the entrainable life
stages (eggs, larvae, and Juvenile 1).
(3) Output variables, including production, percent survival, and
population size, were tabulated for years 0, 1, and 40. Values for
percent reduction due to power plant mortality were tabulated for years
1 and 40, with year 0 as the reference case.
(4) For the range of parameter values used in this study, estimates
of percent reduction are least sensitive to changes in YS, the
equilibrium standing crop, and most sensitive to changes in KXO, the
minimum mortality rate coefficient. Estimates of percent reduction in
number of adults at year 40 range from 15 to 49% for YS, 3 to 44"L for
KX, and 8 to 85% for KXO.
(5) Disabling either limb of the compensation function results in
higher estimates of percent reduction. For all values of KXO and for
values of YS and KX at and above the baseline values, disabling the left
limb resulted in a greater increase in percent reduction than did
disabling the right limb.

28
DISCUSSION
Conceptual Basis for the LMS Compensation unction^
We feel that the LMS niathematical formulation, as described under
- LMS formulation --.- of compensation, is not conceptually sound. As implemented
in the three LMS striped bass models, ’ ,*y3 the assumption is
made that without the new power plants (Indian Point Units 2 and 3,
Bowline, and Rosetsn), “the system is in relative balance or at relative
equilibrium, and there is little active compensation.’’ For young-sfthe-year
life stages of striped bass, it: is difficult to visualize a
source of mortality that (1 ) is a minimum near zero densi Ly, (2) increases
(although at a decreasing rate) ai; low densities to reach a plateau over
a range of intermediate densities (0.42 to 0.68 in Figs. 1 and 2 for the
Juvenile 1 life stage), and then (3) increases again (but now at an
increasing rate) at a high densl’ty. For example, it is not reasonable
to hypothesize a curve with this entire shape due solely to crowding or
less food per unit number of fish as density increases.
In particular, there is not a sound biological basis for the left
limb of the curves in Figs. 1 and 2 for fish species such as striped
bass. Much of the theory of compensation in animal populations is based
on experience with terrestrial and h
these populations there may be sound
the left half of the curves in Figs.
mortality coefficient and an increas
gher vertebrate popul ati ons .
In
biological bases for hypothesizing
1 and 2, which show a decreasing
ng probability of survival as
density decreases to very low values. The biological bases far this
type of curve involve refugia, territoriality, food preferences of
predators on target species (e.g. , young-of-the-year striped bass as
the target species), and other behavioral phenomena that tend to be
more highly developed in terrestrial and higher vertebrate species
than in nonterritarial fish species such as the striped bass. Based
on model results LMS has presented to date, it is not clear which half
aFor a previous discussion of some of the points mentioned below, see
reference 7 , pages 134-1 35.

29
of the curves in Figs. 1 and 2 is the more important in offsetting the
power plant impact. However, because the density in each river segment
initially starts at zero and finally drops back down to zero, the
left limbs of these curves are certainly utilized.
In our opinion, a mathematical formulation for compensation for
striped bass with a more sound biological basis is one that has a
plateau extending from zero ta some critical density. Above this
critical density the density-dependent parameter increases (e.g.
mortality rate coefficient and duration) or decreases (e.g., growth
rate coefficient and probability of survival) with further increases
in density due to resource limitations or selective predation.’ The
compensation functions used in both our young-of-the-year model” and
our life cycle model” have this property.
As an example, Fig. 10 is a schematic representation of the
population density correction factor for the apparent survival probability
used in the ORNL computer simulation model for the striped
bass young-of-the-year population in the Hudson River.” This type of
function is analogous to the plateau and right limb of the compensation
function used by LMS (cf. Figs. 2 and 10). Given this formulation,
the major issue (j.e.$ the extent to which regulatory agencies, utilities,
and society should rely on compensatory changes in mortality to
offset the increased mortality due to the power plants) reduces to
choosing: (a) critical densities, (b) steepness of the right limbs of
curves, and (c) where to assme the population would exist on the curve
without the additional power plant mortality.
We are also concerned about the conceptual relationship between
the three parameters in the LMS compensation function and actual bio-
f ogical phenomena.
The parameter YS for a givers life stage is defined as the equilib-
rium population level In the Hudson River. In our opinion the entire

31
concept of an equilibrium population level far any of the young-of-the-
year life stages is inappropriate. Within a year, the young-sf-the-
year population consists of a series of linked transients, with one life
stage over1 apping with both the preceding and succeeding 1 i fe stages
To speak of an equilibrium population level for each I-ife stage in such
a system is meaningless. In ea1 i ng wi th compari sons among years, only
the concepts of an average maximum standing crop and-an average transient
curve far a given life stage have ~peratiana~ meaning. In sum-
mary, it is our opinion that the parameter YS has na operational meaning
for the transient dynamics of the young-af-the-year life stages, and it
cannot be based directly ar indirectly an observed standing-crop or
density data.
KX I__
The parameter KX is defined by LMS as the ~ ~ ~ i first ~ order i b ~ i ~ ~
mortality rate coefficient.' y2 LMS calculates this parameter as
-ln(PS)/DTE far each life stage, where DTE is the time required to
pass through a gSven life stage under equilibrium conditians and PS is
the probability of survival through that life stage under equilibrium
conditions. However, all that can be estimated from field and/or
laboratory data are DTE', an average time required to pass through a
given 1 IPe stage, and PS' an average probability of survival through
that l-ife stage. DTE' and PS' could then be used to calculate an
-.-_ averas first or er mortality rate coefficient (KX') as KXt = -In(PS')/
DTE', assuming exponential mortality. Only by chance would DTE8 = DTE,
PS' = PS, and/or MXl = MX, because the average values wi?l reflect
biological phenomena occurring aver the full r nge of population
densities achieved in the natural system, and not just at an "equilibrim"
standing crop or density ~ h ~ defined) ~ ~ e v Thus, ~ r the parameters
necessary to calculate KX cannot be directly estimated from observable
data e
MX
The parameter KXO is defined as the mini rtality rate
coefficient, which is ap~r~ached at ~ ~ ~ levels ~ near l zero. a ~ We
i ~ ~

33
already have implicitly criticized the biological basis for this
parameter in the prw’ous discussion about the left limb of the curves
in Figs- 1 and 2 for fish species soch as striped bass (page 28).
Another point to be mad^ atwt KXO is that the values selected by LMS
eornmnrrly correspond to unr-ealistic probabilities of survival (Table 3) -
The PSO values for AKXB = 0.2’5 are comple%ely unrealistic biologically.
Fv~n in a hatchery under optimal conditions, it is difficult to obtain
survivals greater than 50% for the jrivenile stages and impossible for
12
larvae. The values for AKXO = 0.5 are also high, certainly for
conditions in the natural environment.
Sensitivity Analysis
Sensitivity analysis, involving systematic variation of parameters
through a range of values, is a standard way of evaluating and even
validating simulation models. On the basis of examining model output,
one can answer such questa’ons as: (a) what is the relative sensitivity
of the model to changes in certain parameters, and (b) is the model
output reasonable or even plausible for a given parameter combination?
With respect to the three parameters in the LMS compensation
function and the output variable of primary interest (viz. , percent
reduction in the striped bass popuiatican due to power plant operation),
and given the range of parameter values used in this study, the niodel
is least sensitive to changes in YS, the equilibrium standing crop,
and most sensitive to changes in KXO, the minimum mortality rate
coefficient. For example, estimates of percent reduction in nirmber
of adults at year 40 range from 15 to 49% for YS, 3 to 44% for KX, and
8 to 85% for KXO. Variations of this magnitude obviously must be
considered in reaching a reasoned decision on the potential impact of
the Hudson River power plants on the striped bass population. This
concern is accentuated by the lack of a sound bialogical basis for
the parameters YS, KX, and KXO.
A more fundamental type of sen5itivit.y analysis involves comparing
alternative forms For a function in a sirnulation model, where each form
of the fijnctiotl reflects a somewhat different set of assumptions and

33
Table 3. Values of maximum probability of survival (PSO)
corresponding to the KXO values used by LMS
AKXO = AKXO = AKXQ =
Life stage DTE~ PSa 0.8 0,5 0.25
(days)
Larva 28 0,15 0.22 0.39 8.62
Juvenile 1 30 0.20 0.28 0.45 0.67
Juvenile 2 123 0.50 0.57 0,71 0.84
Juvenile 3 158 0.19 0.27 0.44 0.66
aDTE is the average number of days required to pass through the
specified life stage. PS is the average probability of survival
through the specified life stage. (See reference 2, table 4, page
40a; and reference 13, Table 7, page 13c)
bValues for maximum probability of survival through the life
stage are calculated as

34
understanding about how the real -world system may operate. We have
ken critical in this report of the conceptual basis for the left limb
of the LMS Compensation function, and we have shown that disabling the
left 1 iinb resill ts in appreciably higher estimatm of pev-cent rediiction.
Thus, again, results of this type must be considered in reaching a
reasoned decision on lhe potential impact of the lludson River power
plants on the striped bass population.

3 5
REFERENCES
1. J- P. Law1er3 ''The effect of entrainment at Indian Pol'nt an the
poptilati~n of the Hudson River stripe bass. I' Testimony before
the Atomfc Safety lirens%'ng Boardl, lndian Point nit 2, USAEC
Do~ket, NO. 50-247, April 5, 1972,
2. J. P. Lawler, "Effect of entrainment and impingement at Endjan
Point on the poplalatian of the Hudsogl River striped bass."
Testimony befare the Atomic Safety Licensing Board, Indian Point
Unit 2, USAEC Docket No. 50-247, O~tober 30, 1932.
atusky & Skelly Engineers, "Report on ~ e v ~ l of ~ a ~ ~ ~ r ~ t
redl-time two dimensional made% of the Hudson River striped bass
population "
(Prepared under contract with Cans01 idated Ed-s'son
ew Yard, Inc, > October 1975).
Christensen, 9. Golumbek, and A. Clark,
""Sensitivity analysis of the L-MS tidal -averaged, one-dimensional
transport mdel of the Hudson River striped bass pop la ti an^"
O ~ ~ report, L ~ J Oak ~ Ridw National Laboratory, Oak Ridge,
Tennessee, (In preparation)
5. Letter dated July 13, 1974, from MI.. E. R.. Fidell, attorney for
Co~~o~i~~ted Edison at LeBoeuf, L-amb, Leiby, and MacRae, to
Mr. J.. Scinto, U.S. Nuclear Regulatory Commission, including as
an enclosure a document entitled "Dacumentatian for Mathematical
Models of the Hudson River Striped Bass Papulation," dated July
1974 *
6. Letter dated August 11, 1975, from William J. Cahill, Jr. Con-
solidated Edison, to Dr. Richard M. Rush, Oak Ridge National
Laboratory, including as enclosures a source deck for the trans-
port and the completely mixed striped bass life cycle models
developed by Lawler, Matusky Skelly Engineers, a listing far the
two models, and saniple data for testing each of the two models,

36
7. J. P. Lawler, "Sensitivity of the model presented in the testimony
of October 30, 1972, an the effect of entrainnient and inipingement
at Indian Point on the population of the Hudson River striped bass."
lest iilivny beforc the Atomic Safety Licensing t3~ar-d~ Indian Point
Unit 2, USAEC Docket No. 50-247, February 5, 1973.
8. U.S. Nuclear Regulatory Conmission (USNRC), "Final environmental
statetnernt related to operation of Indian Point Nuclear Generating
Station, Unit No. 3," Gocket No. 50-286, Vols. I and %I, February
1995.
9. W. W. Murdoch and A. Oaten, "Predation and population s.tahi1ityy"
pp. 1-731 IN A. MacFadyen (ed.) _____L_
Advances -111 in ecolo~ical - research,
. - . ~
Vol. 9. Academic Press, New York. 1975.
IO. ,4. H. Eraslan, W. Van Winkle, W. D. Sharp, S. W. Christensen,
C. P. Goodyear, R. M. Rush, and W. Fulkerson, "A cotnputer simulation
model for the striped bass young-of-the-year population i ti the
Hudson River." ORNL-59 77. Oak Ridge National Laboratory, Oak
Ridge, Tennessee. (In press).
11. W. Van Winkle, B. W. Rust, C. P. Goodyear, S. R. Blurn, and P. Thall,
"A stripes! bass papulation model and computer programs .I' ORNL/TM-
4578. Oak Ridge National Laboratory, Oak Ridge, Tennessee,
Deceiilber 1974.
12. Texan Instrinments Inc. , "Feasibility of culturing and stocking
Hudson River striped bass. 1974 Annrma! Report." Prepared undet-
13.
contract with consolidated Edison Company of New York, Inc.
November 1 97 5.
J. B. Lawler, "Effect of entrainment and impingement at Cornwall
on the Hudson River striped bass population. I' Testimony before
the Federal Power Cornmission, Cornwall, USFBC Project No. 2338,
October 1974.

~~~~~~~~ A
33
CROSS REFERENCE LISTING OF SHE LAWLER, blATLISKY &. SKELLY
ENGINEERS 60 PLETELY MIXED MODEL FOR THE WUOSON RIVER
STKIPLD BASS P ~ ~ U ~ ~ ~ I ~ ~ ~
AS
OAK RIDGE NATIONAL LAB

ISM 0002
ISH 0003
ISN 0009
ISN 0005
ISN 0006
XSN 0007
Ish' 0008
ISN 0009
ISH 0010
ISN 0011
ISM 0012
ISN 0013
ISM 0014
I S U 0015
ISM 0016
ISY 0017
ISI 0018
ISM (1019
rsa 0020
ISU 0021
IS8 0022
ISN 0023
ISM 0024
ISN 0025
ISH 0026
ISU 0021
ISM 0028
ISN QQ29
ISN 0030
ISM 0031
ISN 0032
ISM 0033
ISH 0034
ISM 0035
ISM 0036
ISN 0037
ISM 0038
ZSIS oouo
xsn ooui
38
CBIST
SOD K F ~ E ECDIC, NOL IS?, No CE CK ,LOAD, MAP, k OF 0 TT , NO I D , XR EF
HIST c
C...
C JANUARY 1976. CONPUTER fOnB FCK THE CO3PIEPEf.I kIXEE RODFL
HIST
HIST
5
in
C DEVELOEFC BY LAWIEA, MA'IUSKY S SKELIY, AS MODIFIED BY
C VAN YTNRZE.
c.. .
C...TAIS 15 THE RATN EROGHAB FOR THE COBFLEI'dLL HIXEi? MODEL.
c.. . IT +AS PoRn*Rr.y IDENTIFIED AS SIMROUTINE HISTG.
c...
HIST
HIST
HIST
I!ISY
H I ST
YIST
15
20
25
30
35
40
CO~M3N/ADoErr/LCw(20) ,PEC(ZO) ,SEAT[20) ,Sr4€,T(20)
H f $7 45
cOnnoa/tsiAI~FrA~r~5) ,AKXO (5) ,AYS(S) ,DE (5) ,DTE(5) ,'PKILL(S) ,SLEPT (5) HISP 50
1 ,IRIGAT[S) ,KX(S) ,KX0(5),YS(5)
COnnON/PAR,/IENU.ISKF ,ISY, RSTP,NN, F, CP, TE, V
HIST
HI ST
55
60
COMMOR' /RKTTA; NX,DN#UT,AUX(16,1) HIST 65
COhHON/YGHP/T?k (10) ,Ti%IY(lO) HIS? 70
COWHON/BYY,'Y(5000) ,YY (SOOC)
DlREhYION ADULT(20) ,ACIILTS [20), K Y U (20) ,PAD(2O) ,PADL(20) ,RMF(20)
DIREYSTON CHAP (6,5r,JLEPT(5),JRIGWT (53 ,PNLAY(B) ,ASUM(4) ,REF (6)
HIST
rllST
HIS7
75
ao
a5
DIMENSION h (100) ,S(lOO) ,R3(100) ,SR(lOO) ,SIi(lOO) ,R3R (loo), A S (100) HIST 9c
1 .R3RSI; flOOI
~ i ~ Iswi ~ e;JLEFI,JRTGHT,NG,YRS e
RPAL iRY33,Il!IPTOT,KX,kXO, NI C, NMAX,NNAXYS ,NTOT,NX,KFLA HT
DATA NC/6H NO/, IES/6H YES/
DATA J , K ,I,; e!, S j 5"l ai DATA IK,?N,IQ,IX,JJ, IL, M8/7*0/
CATA IAC81E3i, i~I,~PL,IPT,IST,IYf,II 6, LPT, Lsa/l O*O/
D AT A R SLT , K TfC/ 2'06
DA FA I RTPO , I'I'LST , K.5 PAN, US FAN/U* O/
D AT & I A CR M T , I S IA G%/ 28.0)'
DATA R ,S, R3 ,S B .- RR, 83R, R 35, E3RSR/B00*0. /
1119: 95
eiST 100
HIST 105
IlIqT 110
HIST 115
HIST 120
HTST 125
HIS' 13C
IIPST 135
HIST 140
HIST 145
DATA AA,A~,Ba,E2,BO,Sk,SP,TP/E*O./
HIST 150
DATA AVG,NEC,REF,SPE. SSF./9 C*O./
HIST 155
DATA ASIIPI, NMAX NTOT, PSPP, BATi?,SOh A, SURI, T€ND,TO'I ?/I 2*0./
DArA PRACT, PN DAP,FTPdE/S* 0 ./
MIS: 160
RE5T 165
DrTB NMAXYS ,PPQ~Wi~,TST&fiT/3*0.j
DATA A CULTc ADULT3 DCZO, PAD, PA LE, RMF/120*0./
HIST 17C
Ei5T 175
IWIEfEB OF1,OPZ
HIST 180
C...
HI9T 1R5
C.. .IWITIALILA'TTOM STbTEHYWTS.
HIS7 190
C...
OF1=6
HIST 195
HIsr 200
OF2=12
HIsT 205
IP1=5
RIST 210
ISH1 = NO
HIST 215
TIB (11 =O.
TIW(9) - 56.
HIST 220
HIST 225
DO
io
c...
C.. .READ
10 I=1,5000
YT(P~=O.
INPUT PARAKETERS AID WRIT2 FROSF: INPUT PARARETERS REQUESTED.
HIST 230
ilIST 235
HIST 240
HIST 245
C .
READ(IFl.10000) ISY,IEND ,LPB, SIP ,TSTHRT,TEND.iSKP
L 1 R=IY. 6-1
IF (ISW-EQ-1) ISU1-YES
HIST 250
HISP 255
HZST 260
XIST 265
TP-TEN D-TSTmT
HPST 270
READ (IF1,lOlOO) IST, IK.IEW, %IN
HIST 275

XSN BO42
ISM 0043
6SR 0044
ISN 0046
XSN 01047
rsI ooua
2SN BOY9
ISk4 0050
LSN 0052
ISM a054
ISB Q055
ISN 8056
IaN 0057
ISM 0058
ISN (8059
LSN Q060
XSY 0061
ISN 0063
ISM 0065
ISH U06b
1SN 0067
ISN 8869
LSN 01070
ISN 0071
TSlP 0072
ibM 0073
XSN 00lU
15td 0074
ISH 0076
1SN 0077
ISW 0078
LSY 0074,
LStd 0080
ItjN 0082
L S ~ OoaU
I$)a UC86
LS$4 0087
ISH 0088
ISI uam
lSbl 0090
IS& OL97
rsn 0093
ISN 0095
ISN 0B96
3slP 0097
ISI aw8
ISN 0100
Isn OIOL
ISH 0104
READ(X F 1 I 1020 0)
READIT Fl,?O30O)
39
QP
V, (PKILLfL) .L=l ,S), IPL
IF (XSW,EQ. 1) LYR=LYB+ISY
QFCFS = 1703hBO*QP
URITE(OF1,13000)
UIRITE(OF1,13900) IEND.LYR,ISYS,IPL
URITE(CFl,? 1000)
I F (NM.EQ.1) WRITE~OP2,131CO)
IF (NN.EQ,I)
RSWT = 1
IST AGE=I
IYR=O
WBITE(OFZ,I~~~O) QF* CPCFS,~, IPKILL(JJ) ,JJ-I,~)
ZEAD~IFl. 10400)P.TZ, (DE(JJ) .JJ=1,5)
PEQUAL=P
REA~(IFI,I~~~CI) SPAN, /TI:R(J) ,J=;, NSPAN)
REEAD(IF’I,106@C) [TItlW(J) ,J=l,NSPAN)
IF (NN.EG.1) UtiXTE(12,14000] (DE(J) ,J=l,5)
IF (NN.EQ.1)
KSPAN=NSPAN-I
GlHXTE(OF2,1Y100) ?E
DO 20 K=l,KSPAN
IF (NN.EQ. 1) YBITE (OF2.142CO)TIKfK) ,TIi‘(K+l) ,TIMW(K]
20 CCWTINUF
READ{IZ1,1070C) /DCY (J) .J=l,IEND)
REAR [I E 1,10800) (SHA T (J) .J=l .IEND)
PEAD (I F 1 1 OR9 0) (SMhT (J) J= 1 I I FN 6)
SFAO(IF1,109~~8) (FEC(J) ,J=l,IEND)
RFbDEIP1,11000) (PUDAY [J) 8J=l”b]
PTrn E= c
30 FRACT-CE(1) *TIklY[l) /TIR(2)
MEO=F* PE ACT
ITEST=tlOD(IYRb IR)
I Y=0
IF (1TEST.EQ. 0) IM=l
IF (I&. EQ. 1 .OR .IYR. EQ, 1) WRITE (OF 1, l1400) TYR
40 IF (IYR.GT,O) GC TO 50
6 ....... s..*-.-.a..
iiTST 284
FIIST 285
HIST 290
HIST 295
YIYT 300
YET 305
BIST 310
HIST 315
HIST 3.20
HIST 325
HIST 330
Y1:FT 335
HIST 340
HIST 345
HLYT 356
NISF 355
KIST 360
YIST 365
VXT 37r
HIST 775
;fIST 3d0
HIS? 385
ii1s.r 310
NIST 399
HIS? 400
HIST 405
HIS? 4lC
YIST 435
YlST 420
HEST 425
usr 430
KIST 43e
nTST 440
HIT” 445
HIST 450
RXST 4’jE.
YIST 46C
YIST 465
HIYT 470
HIST 475
HIST 490
VIST 495
HIST 490
WIST 495
‘iIS? 500
READ(XFl,ll 100) (CUAR(1,ISTACE) .I=1 $6)
RFAC(IF1,11200) KX (ISTAGE) ,KS (ISTAGE) ,DTE(ISTAGF)
FEAD(IF 1,11300) AKX (ISTAGE) .A KXO IS‘IAGE) AYS {ISTAGE]
1 ILi.:PT (XSTAGE) ,IRIGHT (ISTAGE)
JLFPP(1STAGE) = NO
JRICHT[ISTAGE) = NO
IF (ILEPT (ISTAGI). d(2.1)
IF (IRIGHT(1STAGE) .EQ.l)
JLEP‘: (IST AGE) = YES
JRIGHT (ISTAGE) = YES
RX (LSTAGE) = AKX(XSTAGE)*KX (XSTAGE)
RXO (IS‘IAGE) = AKKO [ISTAGE)*KX LISTAGE)
YS ( fST AGE) = A Y S [ISTAGEJ * Y S ( I ST A6 E)
HISF 505
HIST 510
50 IF (Ia.EQ.l.Os.r~R.EQ,l)
IF tIN.EQ.1 .OR,IYR.EQ.I]
UBITE(GP1, 13000)
UAITE(OP1.11500) ISTACE,
HXS‘? 515
(CHAR(1,ISTAGE) .HIST 520
1 I=1,6)
HXST 525
IF (NN.EQ.l.hBG.IN,EY.l.OR,NN.EO. 1.AND.XYB.EQ.I) WRITE{0~1,13300) HIS? 530
1 KX IIISTAGE) .KXO(ISTAGE) ,YC IISTAGE) .DTE (ISIIGE) , ARX (ISTACE) , HXST 535
1 AKXO(ISTXGF1 .AYS(ISTACE) ,JLEPP (ISTAGEj .JRIGHT(SSTAGE)
HIST 540
c. * .
HIST 5U5
C...AVERAGE THE VALUES IN THE PECDUCTIOH TABLE UHEN CIFFEBEHT
HIST 550
C...UODEL TX8E STEPS ARE USEE PCE VARIOUS LIFE STAGES.
HXST 555
c.. . 9IST 560
IP (ISTAFE, NE, 1) ASUU (ISTAGE) =DE (ISTAGE) /CE [ISTAGE- 1)
YIST 565

ISN 0106
ISH 0108
ISM 0110
ISN 0112
IS8 0110
ISN 0116
ISN 0118
ISH 0120
ISU 0122
I S N 0123
ISN 0120
ISM 0126
ISM 0127
ISN 0128
ISU 0130
ISU 0131
ISN 0132
ISH 0133
ISU 0134
ISH 0135
ISH 0136
ISW 0137
ISN 0138
XSN 0139
ISI 0140
ISH 0141
XSN 0142
ISU Oi43
ISU 0145
ISN 0146
XSI 0147
ISU 0148
IS$ 0149
ISH 0150
ISM 0151
ISM 0152
ISN 0153
ISN 015U
ISM 0155
TSU 0156
ISY 0157
ISH 0158
ISM 0159
ISM OlbG
ISU 0161
ISN 0162
ISH 0153
ISH 0164
IS$ 0165
ISil 0156
Isn 9167
ISU 0148
ISM 0159
ISH 0170
ISU 0171
ISN 0172
C...
60
70
80
IF (ISTAGE.EG.1) Fit! = (DTE[ISTAGE)/CE[l) t 0.0001)
IF (ISTAGE.EQ.1) IPT = ((0.0-ETT(lS'TAGE))/CE(l)) + SIGN(O.0001,
1 (O.O-C'IE(ISTAGE)))
IF (ISTAGE. EQ. 1) III=IFT+RR
I F (III.EQ.0) IPTfQ
IF (1FT.NE.O) IFT-IABS (IPT]
IF (1STAGE.EQ. l.AND.IPT.LE.0) IPT-0
IF (KFIRST. EQ. 0) LP'I=LPI
IF (ISTAGE. Ea. 1. OR. XSTAGE. EQ. 5) GC
bA=ABS (PNDA Y( I STAGE) -PN BB P (ISTA GE - 7
BEI=ABS (DE (r5TAGE) -DE (TSTBGE-1))
IF ((AA.LT. .0001).AMD. (BB.LT. .0001)
L=l
INCR?iT;ASU?! (ISTAGXI 4.001
I F (1NCRRT.LE.O) GO TO 120
IX-0
I PT=PLOAT ti PP) /'FLOAT (INCsHT)
EO 70 I-l,KTYO,INCRA~
AVG=O.
IX-IX+INCRPlT
DO 60 J=I,IX
AVG-=AVG+'III (J)
YY (J) =O.
YY (L)=AVG
L=L t 1
CONTINUE
KTYO=L
IAD=PN CAY [ISTAGE) /DE [IS'IAGE) + .OC1
IF (IAr.Ey-I) GO TO 160
PO 110 K=l,iCTYO,lAD
L=R
LL= 3 tIAD-1 AYG=O.
DO SO N-LsLL
AVG BOCbPY(N)
90
DO 100 N=L,LL
100
YT IN) =AVG/IAD
110 COBi TIN UE
GC TO (160,170) ,KSYT
120 IQ=l.O/bSUV (ISTBGF) e.001
IVY=-IQ
IM-KTYC
I KT YO- KT tO* IQ
DC 130 I(I=I,IKTYO,SQ
K=I RTYO-Ht 1
YY (KtIVY*l) =YY (MR)
l Y (aa)=o.
130 w!l=IJ1s-l
DO 150 #=?.IRTYC,IQ
J= K
JJ-KtIQ- 1
AH=PY [K) /IQ
DO 140 N-J,Jd
140
YY (N) =AN
150 COl'IIMWE
RTYO=IKTYO
GO TO 80
0 160
1
GO TC 160
HIST 510
HIST 575
HIS1 590
HIST 585
HI~T 530
HISP 595
HIST 500
Hlsr 605
VIST h10
UI4T 615
H1SP 620
HIST 625
IjIST 630
HI3P 635
KST 64C
HISr 645
'1IST 650
IiISl 655
HIST 660
HIS'P 465
XIST 670
Y X C 475
III;T 680
HIST 685
HIST 59c
IIIST 69=
HTST 700
MIST 705
HlJT 710
PIIST 715
HIST 720
fI1SP 725
HfTT 73C
RIST 735
IfItil' 7'bO
HIST 7Uc
MIST 750
HIST 755
HIST 760
YiST 765
HIST 770
hIST 57'
VIST 780
HIST 785
HIST 790
HIS? 195
HIST 900
HIST 905
HIST 810
HIST 815
HIST 820
HIST 825
TIST 930
HIST 535
HIST 8UO
HIST 8rC5
HI'rT 050
HIST 055

ISH 0173
ISW 0223
IISN 0224
ISH 0226
41
C.. .CALI. SUBROUTINE GROUTH FOR Til& STECXFIED LIfE STAGE.
c...
160 CALL G ROUTH [I# I ISTAGE, IYR "KTPO ,NE0 sNflA X I ET1 RE ., KPLANTJ
HTS? 960
HTST 865
HIST 870
C*".
C.. .CALCULATE AND WRITE TOTAL SRCDOCTIOL, TOTAL TRAHSFTR, % SURVIVAL
HCST 875
HIST 840
C...AND PlAXIFUn STANCING CRCP FOE TH9 SFECIPIZC LIFE STAGE.
c. e "
IP (IS'f'AGIS.GT.1) GO TC 1YO
HlST 985
HZST 990
HIST d?5
KSUT = 2 HIS? 900
GO TO 80
170 TOTI=O,
KSST 7 1
DO lAB .J-l.KTYC
RI'jT '305
HIST 910
HIST 315
HISP 920
180
TOT? = TCTl
COM'IIYUE
YY (J) HIST 925
HIST 930
3ATE = 100.*TQTl/P
cunw = TOTI/P
IP (IYR,E#.O) &ZP(ISl'AGE)
CHAMGN = REP(ISiAGE) - P
= P
HIST 935
q15- 9a0
HISZ 745
l1IST 940
CftXBGP = lOC*CBAIGN/REF (IS'IAGZ)
NFiAXYS = 0.0
IF tINJ,EQ,7 .OR.IYR. EQ.1) WBZTE(OF1, 11600)
Ul5T 955
BIST '96 c
P,TOTa,RA~E,?~RAX,W~RXYS,dIST Oh5
1 CHAHGN,CHBWCP IJIST 970
Gil TO 210 ImST 975
190 NTOT=TOTI HTST -380
TOTl=U
no 200 J=1*K"YO
'IIST YE15
HTST 190
TOT1 = TOT? I YYfJ) HIST 795
200 CCN'IIUUE
RAT E= d GO .*TOT l/NTOT
NOAXIS = NMAX/YS (ISTAGE)
HLSTI 000
B1ST1005
HIST 101 0
CllRPS = (TOT1;ITUT) *CUPlPS HISTI 01 5
PP fIYR.EQ.0) PET(1STfIGE) = HSOT HIST1020
CHAlGN = RYP(1STAGE) - NTCT msr 1025
CNANGP = 100+CHAMGH/BZP [ISTAGE)
HI ST1 03 0
IF [EW .EO. 1 .OR .tYh.EQ. 1) YRITE(6,1lh00) LTCT,TOml .RATE,YHAX,NnAXYS,BISP 103E
1 CHANCN,CHANGF
IP (XSTAGX.EQ.4) InPJ2=(KPLAN~/(KPLAHT+K~(I~~AG~~~
1 *(ITOT-TOTl)
il I ST 1 0 4 0
HISIlOQS
IP (ISTBGE. EQ. 5) IBPJ3= (KPIANT/ (KFI. IINT+KX (IFiTAGE)) ) f (ITOT-TOT 1) HIST 105C
fF (ISTAGE. EQ.5) LI11PTOT IHPJL + XRPJ3 HI ST1 055
I P (ISTAGE. E@ 4,ABID. I N .E Q f -0 R. IS 'IAGE. E Q. 4 AND. I YR. Ea.. 1) WRITE f 6 , HIST 1060
1 11800) IflPJL HI'iT? 065
If (ISSACE.EB.5.BND.IN .EQ - ?.OR, 1SIACE.EQ. 5. AND.IYR. EQ, 1) WRITS (6, HIST1070
1 49900) ZflPJ3,IAETOT HIST 1075
IF (XSfAGE.EQ.5) YEAR1 = CURPSLF
I? (I5TAGE. EQ, 5.AMD. IN.EQ .l.OR. IS?AGE.Ec. 5. AND. 1YR.EQ.. 1) WfiITE(6,
HISTI 080
HISTlOAS
1 11700) CTIQPS,YEABl
HXST 1090
210 CONTXNOE
c
C...CYCXE TO THE #EXT LIFE STAGE.
C .
C .... STAGE 2-LXRVAE
C =... STAGE 3-5=JUVENILE 1-111
c .... -....I .... .e.
PTIt4E = PTIRE t DTE(I5TAGE)
ISTACE=XSTAGE+1
IP (ISTdGE.EQ.2) PTZBE=PTIRE+TI#( hSEAY)
NEO=YY { 1)
BIST 109 5
HISTllOC
HIST1 105
HIST 11 1 G
HISTI 11 5
HIST1120
AISTl125
HTSTl130
HIST 11 35
HIST1140
HIST 1 1 U5

ISN 0227
ISN 0229
ISU 0231
ISN 0232
ISN 0233
ISN 0235
ISN 0239
ISU 0239
ISN 02bO
ISH 0241
ISN 0242
ISU 0243
ISN 0244
ISN 0245
ISM 0246
ISM 0247
ISN 0248
ISN 0249
ISN 0250
ISN 0251
ISN 0252
ISN 0253
ISN 0254
ISN 0255
ISN 0256
ISN 0259
ISN 0250
ISN 0259
ISN 0260
XSU 0261
ISM 0262
xsn 0263
ISN 0265
ISM 0266
ISM 0269
ISU 0260
ISN 0269
ISY 0270
ISN 0272
1.51 0273
ISN 0274
ISN 0275
IF (ISIAGE.LE.5) GO TO UO
I F (1YR.GT.O) GO TO 230
C.. *
C...CALL
C...
SUBROUTINE EQUAL FOR YEAR ZERO.
CALI. EQUAL (ADULT,ADVITS,DCY~J,NEO,P~~U~L,~~P,~O)
AFS = EXP(-DCYU(4)*365.)
IF (NN.EQ.l)
I F INN. EQ. 1 )
URITE(I2,13600) APS
WRITE [ OF2 ,13 4CO)
HIST 7 150
HIST 7 155
HISTllhO
HIST 1165
RISTll70
HIST1175
HIST 11 80
HI STI 185
HISP1190
J= HIST1195
IF (NN.EQ.1) URITE(OF2,13500) (J.DCYU(J) ,SRAT(J),SMAT(J) ,PEC (J) . .. 1 1,IENC)
HI ST 1200
c...
HIST i 205
C...GENERATE knULT CLASSES FOR YEAR ZERC.
HIST1210
c.. . HIST 1 2 1 5
ADULT (79 =NE0
HIST 1220
REP(6) = ADULT(’P)
XI ST7 22 5
DO 220 J=Z,IEND
HIST 1230
SUR V-EXP (-DCYU (J- 1 )* 365 .)
H I ST1 2 3 5
ADULT (J) =ADULT (J-l)*SUAV
HIST1240
220 CCNTINUE
HIST 1245
GO TO 250
41 ST1 2 50
c. * .
HIST1255
C...CALCULATE ADULT CLASSES FOB ALL PEAK OTHER THAN YEA2 ZE90.
H I ST 126 0
c... HIST4265
230 DO 240 IX1=2,IEND
HIST 1270
J=IEND-IX142
HIST7 275
240 ADULT (J) =ADULT (J-1) *EXP (-DCYD (J-1) *345.)
HIST 1280
ADULT (l)=NEO
YIST 12R5
250 CONTINUE
YI ST 9,290
c...
HIST 1295
C.. .CALCULATE EGG PRODUCZICN PCE THE UPCOPlIYG YEAR.
-
31 ST 1300
c.. . HIS” 1 3 0 5
P=0.
HiST1310
I = IYX 4 1
HISTl3 1 5
S(1) = e.
YISP 1320
DO 260 J=l,IENC
HISTI 325
SSF=ADULT (J) * SRB T ( 5) * SRAT (3) *P EC (J)
HIST1 330
SPAWN = ADULT (.i) *SAAT (J)QS~AT (J)
HIS? 1335
S(1) = S(1) b. SPAWN
H I ST 13U 0
R(1) = ADUL‘I(3)
HIST 1345
26 0 E=P*SSP
HIST1350
c.. .
HISTI 355
C...CALCULATE RELATIVE ADULT AGE DISTRIEDTION IN Two WAYS
qIST 1360
C.. .
HISTI 365
SP-0.
HIST1370
DC 290 J=I,IENC
HISTI 375
270 SPSP+ADULT(J)
H I T 1 380
IP (IYR.GT.0) GO TO 290
HIST 1385
DC 280 K-1,IENC
H I ST 1390
PADE(K1) = lOO.*ADDLI(K)/SP
HIST 1395
280 PAD (K)=100.*ADULT (K) /SF
HIST 4 400
SPE=SP
HIST7405
GO TO 310
HISTlUlO
290 IF (IYR.EQ.0) GO 70 310
HISTla75
DO 300 K=l,IEND
HIST1420
PADE (K) = 10O,*KDDLT (K) /SP
HIST 1 U25
300 PAD (K)=I OO.*BDULT (K) /SFE
HISTIU30
310 PSPP = SP/SPE
HIST1435

ISH Q276
XSN 0277
ISM 0278
XSW 0279
PSY 0280
ISH 02d2
ISH 028U
ISN 028b
ISM 0.488
&SI 0.290
ISN 0292
XSN 0294
ItiW 0296
IS# 0298
I S N 0299
ISH 0300
ISN 0301
XSN 0303
IS13 0304
ISN 0305
.ISM 0307
0309
ISH 0311
LSN 0312
ISH 03113
ISH 031U
XSN 0365
IS1 0317
IS# 0338
xsn 0319
ISH 0320
ISW 0321
ISN 0322
ISH 0323
ISW 0324
ISN 0325
XSI 0326
1SW 0328
ISM 0330
ISH 0.331
ISH 03.32
LSlU 03313
ISM 0334
TSY 0335
CHAGNl = REP(6) - ADULT(1)
CHAGPI = lOC+CHAGNl/REF (6)
CHAGAT = SPE - SP
CBAGPT = 100*CHAGNT/SPE
43
c...
C. ..PRINT ADULT AGE DISTRIBUTIOW AXD RELATIVE ALOLT AGE DISTA1BUT;ON.
c...
IF [IW.EQ. l.OR.IYZ.EQ.1) URITE{OFl, 12000)
IF (IN. EQ. 1 .OR . IYH . EQ. 1 ) YBITE (OF 1.12100) (J,ADULT (J) , J= 1 ~ IE ND)
IF (IN.rg.l.Oa.IYR.EQ.1) YBITE(OF1.12200) SP
IF (IN.EQ.l.Os.IWR.EC.1) UBITE(QF1, 12300)
IF (IN .EQ. 1 .OR.IYR.BQ. 1) WRITE(OF1,12U00) (R, F%I)(K) ,K=l ,IEHD)
TF [IN.!?Q.l,Ofi.XYB. EQ. 1) WRITE{CPI, 12500)
IF (IN.EQ.l.OR.IYR.EQ.1) URlTE{OF 1.124G0) (K,PADE(K) ,Y=l,IEND)
IP (IN .EQ. 1 .OTc .IYR. EQ. 1) YPXTE(OP1,12600) FSPP
XP (IN.EQ.I.Ok.XYR. EQ.1) uFITE(OP1, 12700) CHAGNl,CHAGPl, CHAGWT,
1 CHAGPT
E!2= 1.
SUMA=O.
DO 320 K=l@IEND
IF (K. IE. 1 ) E2=E2+EXL: (-CCY U(K- 1) * 365. )
320 SUHA:SUKA+Ei*i3BF (K)
SH=SUHA* (NEO/PEGUAL)
IF (1N.EQ.l.Ofi.IYR. EC.1) WEITE(OF1, 12800) SY
qIST14 4 0
HIST 1445
HI ST 14 50
HI ST 1 4 55
HIST 1460
HIST14h5
3TS'I 1470
NI ST1 47 5
HZST 14 8 0
HIST l4H5
HISr7 490
HIST 1 4 q 5
HIS? 159G
41ST1505
HI5r 151 C
9IST1515
HIST1520
HIST1525
HI STl S 3 0
HIST 1535
HIST1 SUO
q;s215'45
HIS'? 1550
qIST7 5 55
C.".
C...C'fCIE TO NEXT YEAO.
HIS? 1 Sb 0
HIST1565
C.*-
IF [ISW.EQ.1.AluD.IYB.Ei;.IFL) QP = 0.
IF (IY~~.EQ.LYR) GO TO 330
IYR=IY B t 1
ISTAGE=l
?TIN E= C .
GO TO 30
330 IF (1N.EQ.l) YRITZ(OP1,12900)
LYRl = LYR + 1
DC 34G I = 1,LYRl
R3(1) = R(ft3)
R3S(I) = R3(I)/S(I)
SR(X) = S(X)/S(l)
RR(1) = RfI)/R(l)
R3R(I) = R3(I)/R3[1)
R3RSR(I) = 33R(I)/SR(S)
3U0 CONTIWUE
IF (NN.E(I. 1) WRITE( 12,13100)
IF (NN.EQ.1) SRITE(12,13800) (1,s (I),R(I)
1 RR(1) ,R3R(I) ,835SR{I) ,I=l,IYRl)
,R3(1) .B3S{I) SR(I),
YISTli70
RIST1575
HISTl SRO
HIS? 1585
HIST 1510
HIST15'35
HIST 1600
I11 SY 1 0 0 5
RISTI 6 10
HIST 161 5
HIST 16 2 0
HISTli25
HI ST7630
HIST16 35
HIST1640
HI ST1645
HIST lh5C
HIST 16 5 5
HI ST1 66 0
HIST166'c
c
c
STOP
INPUT FCRHAT CARDS
HIS? 1670
HIST 1615
HIST 1680
HI ST 168 5
C
C OUTPUT POHEAT CARDS
C
ioaoo FORHAT ~I~,~X,I~,~X,I~,~W,~~,~X,~/FU,O,
ix) ,111
l0lQO PORKAT (U(I2,lX))
10200 POBEAT (E16.R)
10300 POHnAT (6F10.0.12)
10400 PQlidAT /E 15.8, PS.O,SP5.2)
RET1690
HIST1695
HIST 170C
HIST1705
HIST171 0
HIST 1715
HI ST1 7 2 0
qIST 1725

ISM 0336
ISH 0337
ISN 0338
ISN 0339
ISN 03UO
ISN 0341
ISN 0342
ISH 0343
ISBI 0344
IS$ 0345
ISN 0346
ISN 0347
ISN 0348
ISN 03N9
ISN 0350
ISN 0351
ISN 0352
ISM 0353
ISN 0354
ISM 0355
ISN 0356
XSN 0357
ISN 0358
ISN 0359
ISN 0360
ISN 0361
ISN 0362
ISN 0363
44
10500 F0RAIi.T [12.1X,95PS.O) HI ST1730
10600 FORRAT (lOF8.0) HISF1735
10700 FOPflAT (3E10.6,10F5.2)
10800 PORAAT 113F6.0)
HIST1 7UO
HISF171t5
10900 PCRBBT 48P10.0) HiST 1750
11000 FORMAT ((686.0) YIST1755
11100 FORPlAT(2OAU) HIS: 1760
11200 FORRAT (2 (~12.1,3x) ,PS.I)
11300 FORKAT (3F5.2.2(4X,I1))
11400 FORRAT (1H1, lX, *. ............. .. .. .. ..... ....... '/ lX,
1 '..CURRENT YEAR ....... ', a _. ,I3,'- ','..'/ lX,
1 * ....*................-.. * ....... '//)
11500 PORRBT (//, * STAGE*,I3,3X, 10AU)
11600 FORRAT (/,* TOTAL PRODUCTICN INTO "PIS LIFE STAGE - ',EZO.lO/
1 * TOTAL TRANSEER #INTO THE NEXT LIFE STAGE = ",E20.10/
1 ' % SURVIVAL THROUGH THIS LIFE STAGE = ',5#,P4.1,8
1 * f'lAXIMUN STANDIWb CAOP FOR THIS LIFE STAGE - ',E20.10/
1 ' RATIO OP IAXIMUN STANDING CROP TC EQUIIIBRIUM SIIANDING',
1 * CROE (NlAX/YS) - '.F7.4/
1 ' REDUCTION I N NUf'lBZR OF ORGANISPIS ENTERING THIS LIFE STAGE',
1 * DUE TO THE FOYEil FLANT...',E20.10/
1 * % IIEEUCTION I N NUMBER OF ORGANISFS ENTERING IHIS LIFE',
1 ' STAGE CUL TC THZ PCkER FLAHT...',F5.2)
11700 FORMAT (//* CUPIULATIVE FROFABILITY OF SURVIVAL FRO4 EGG',
1 * THROOGH JUVENILE 3 = *,515.8/
1 EXPECTFD NCIH@ER OF YEkRLINGS = ',P15.R)
11800 PORNAT (/' NUMBER OF' JUVENILE 7 KILIED BY IYPIWERENT.. . ',E12.6)
HIST 176 5
H I ST1 77 0
HIST 1775
HI ST1 780
HIST1785
YIST 1790
ti1 ST1795
HIST 1 R 0 0
H I ST 1905
H I ST1 q 10 HXS'1815
HISi-1520
HIST1525
HIST183C
HIST 1935
HISP 18'40
H I ST154 5
NISI* 1 Y 50
HIST1955
HI3TlY4P
11900 'OFYAT (/' WUREEG OF JUVENZEF 3 KILLEC EY IVPTNGESENT. ..',E12.6/
1 ' TOTAL NUMBPH OF JUVENILLS KILLED BY IMPIWG~RENT...',E12.6)
3IS118G5
KIST1 A70
12000 PORlAT(///* ADlrLT DIS'IRIBUTION BY AGE CLASSs,//, 5( HIST1575
1 13H AGE NUNBFilS )) HIST18AO
12100 PORAAT (5(1X,I3,1X,P8.0)) HIST1485
12200 PC3PIAT[lX,*TOTAL ADULTS *.F15.0/) HIST 1590
12300 FORaAT (//' PEltCEWT AGE CISfRIBUTION FELATIVE TO YEAR ZERO'/ 1X,5 (HIST1895
1 l2RAGE PERCENT )/)
HIYT 1900
17400 FORMAT (5 (lX,I3,1X,P7.3))
HIS71 905
12500 POFRXT (//' PEBCENT AGE DISTRIBUTION RELATIVE TC CURRENT YEAR'/ HIST1910
1 lX,§(lZHAGE EERCENT )/)
12600 FORRAT (/,* SIZE Op PCPULATION (YEAF CLASSES 1-13] FCJZ THE',
1 ' CURGENT rEAX AS A EERCEBTAGE OF THE STLE OP THE ', /,
1 ' POPCILAPION I N YEAR ZERO.. . I, E6.3)
/,
HIST 19 1s
HIST1920
HIS; 1925
HIST1930
12700 POaRAT[//' REDUCTION I N NUflBER OF YEARLINGS DUE TO PLANT... ',Fq.O/HIST1935
1 * X REDUCTICN I N NUUEEA CP YEARLINGS DUE "0 PLANT...',P5.2/ HIST 1940
1 ' REDUCTION I N TOTAL NUMBER OF ACULTS DUE TO PEAYT...',P9.0/ H I ST1 945
1 * X REDUCTBN I N TOTAL NURBER CP AICULTS [UZ TO PLANT ...*, P5.2) HIST1950
12800 POFMAT (/,' NUHBER OF EGGS EXPECTED TO BE PRODUCED BY', YISml955
1 /,' THE NUNBER OF ONE-YEAR OLD STRIPED BASS FUR THE CURRENT', HIST1960
1 /,* YEAR DURIUG THEIE LIFE TME AS A PERCENTAGE OF THE NBF'BEF'. HIST1365
1 /,' OF EGGS FBODUCED I N fEAR ZERC. .... ',F6.3//)
HIST1 970
12900 FORRAT {//* END HISTG.. ... . ..') HIST 197 5
13000 FCR4A.T {///, * * $*s*a*g+*8~2$****24~*~~~***r )
KIST 1980
13100 FOR!?BT[lHl,* TRACING LIFE HISTORY OF STRIFED BASS FISH ', /, HIST1985
1 * I N HUDSON RIVER, iJITH flC)ITILITP I N EACH *,/, HIST 1990
1 * STAGE GIVE8 BY:*,// 5X, HI ST199 5
1 ' D (N X) /DT=- { KIt (K X- RXO) * { ( N X- IS)/ Y7) ** 3 1 *?l X a )
HIST 200 0
13200 BORRATI16X,'-rKILL*QP+IX/V'.//. * WHERE, QF(MI**3/DAY)= ', f10. Q./,HIST2005
1
1
WHICH IS EQUIVALENT TO Ai4
7x,*v(~rc*3)= *,EIo.~// zx,
INTAKE FLOW OF'... *,E10.4,'(CPS)',/,HIST2010
HIST201 5

ISH a344
ISH 0365
XSB 0366
XSI 0367
KSI 0368
XSN 0371
TSN 0372
ISN 0373
ISN 0374
45
1 "PQBCTXONAI KILL iIaEe, CCRPOSXTE F-FACTOR) FOR:*,/
1 ' EGGS 'qP10.4/ 2X, LARVAE
1 ' JUYENILF 1 *.P10.4/ 2X,* JUVENIIE 2
1 ' JUVENILE 3 '. P10.4)
13300 FORRAT [//.a KX (l/DA Y)= ',EZO. IO,/,* KXO 1/DkY) = *,
2X,
*,e1c.4/
*,FlO.4/
2x,
2X"
1 E20.10,/,P PS(lffHBER)= *,E20.10,/rq LIFE PERICD(DAY]=
1 *10.4,/,
1
1 *
1 8
1 *
1 1
RATIO OF THE KX VALUE USED I N THIS RUN TO THE "SPAHOASD" KX9,
YALflE GIVEN ABOVE = ',F4.3,/,
R~TIO OF THE KXO vaLw USED IN THIS RUE! TO T:-IE KX VALUE*$
USED IN THIS RUN = ',P6.3,/,
RATIO OF THE 'fS VALUE USED IN THIS RUN TO THE "STANDARDW YSp,
1 VALUE GIVEN AbBOVE = *,P6.3,/,
1 * LEFT LIMB CF COMPENSATION PIINCTION DISARLED...',A6,/,
1 * XIGET LIYB OP COMPENSATION FUNCTION CTSABLED.. I 'sAS,/)
13400 FORHAT i(///,TIa,'AGE'.IlT.'DECAY COEFP.' IT31,aSEX 'iiATIO',T45,
1 'FEIACTION' .TbO.aPEdNCITY*./, T??, (I/CAI[) ',T31,* (PEII/TOT) ',T(i6,
1 'NATUBE',,T58,' (i?GSS/FEHALE) ' @ /)
13500 FCRRAT {~10,12,TlS, PlC-6.133, F4.2,T47,P4,2,T5R,E12.4~
6360@ PORNAT(//' ANNUAL PRCEAESLXTY OF SURVIVAL F9F ADULTS (4-13) = ',
1 F5.3)
13700 FORHlT (1H1 ,20XI"STOCK REC6UIT"lENT 78BLE*///
1 ' CEPINITIONS UP COLUNI HEA0INGS'/
1 I = YEAR + le/
1 S(1) = NUnEER OP SPAUNEi?S*/
1 8 R(1) = NURBER OP RECRUITS (3-YEAR OLD$)'/
1 8 R3/I) - NUTlBER OF 8ECRDITS AT I43 SPAUNED AT I,/
1 R3S(I) = BECXUITHENP RATE (RECRUITS 2.65 SPAUNER) '/
1 * SRtI) = NU8EER OP SPAWNERS ZELAPIVE TC NUXBEE OP SPAUNERT*,
1 8 AT x=10/
1 8 RR[I) = NUHaER OF RECRUITS RELATIVE TC NfJffHFR OF RECRUITSee
1 ' AT I=1"/
1 1 R3R(I) = NOHBER OF BECRCITS AT 1+3 REIATIVE TO THE NUnBEB OP'@
9 ' BECBOITS AT Ir4 (R3(I)/E3{1))'/
1 * R3RSR ( I) = RELATIVE RECRUITRENT RATE (R3R(I)/SX (I) 9 @//
1 T4,*I~,TlO,*S{X) m,T2G,'R{I) ,T30,'E3(I) ',T40, "!?3S(I) ',T60,
1 'SR (I) ' ,T70, "RR (I) * ,P80, * 63R (I) ' ,T90,' R 3RSR (I) a / / )
13800 FORHAT ~T2,I3,T?,P8.O,T17,F8.0,T27,P8,O,T?7,PR.~~T~7~~~.4~ Th7,
1 P8,4,T7?, Q8.4.I87,f8.4)
13900 FORMAT(* RO. ADULT AGE CLASSES - *,I2/ ' WIDEL SIOULBTES - '@13#
1 IX,*YEARS'/ 1 PLANT OPERATSNG. .. * , ~ 6 / 9 poa .I.*. - ...... .. *"13#
1 YEAFS.')
1UOOO POBnAT (//g RODEL TInE STEE SIZE (DAYS) '/ ~X,gEEGG*,SX,*~LARK',5g,
1 *JUV1',SX,'JUV2'~5Y,'JU~3'/ 5(3XFP4.2,2X)/1
14100 PORflAT(//' TOTAL PBOCflCTION PERIOE (DAYS) = @,F3.0/
1 * SUBPRODUCTION PERIODS A1D ASSOCIATED PEACTICNS OF TOTAL EGGq,
1 * PEOfOCTION'/
1 T5,'PERIOD (Dill!) T20, 'PRBCTIO N' )
14200 PCBfiAT (T5,2( 1X,P4.1) ,T22,P6.4)
E WD

****e5 0 R T H A N C fi 0 S S R E P I R E N C E L I S T 1 N G***>+
SYlBCL
I
INTERNIL STATEMENT NUVEERS
003Y 0035 0086 0086 0086 0100 0100 0100 n132 0135 0252 0253 0257 0257 0258 0113 C319 0319 012C
0320 0320 0321
037R . - - . 077R - - - 077R - - - -
0321 0322 0322 0323 0323 0324 0324 0324 0328 0328 0328 032a 0328 0328 CXR g 3 2 ~
J
OOlU 0059 0059 0059 0060 0060 0060 0061 0061 0061 0070 0070 0070 0011 0!171 0071 3072 0312 0072
0073 0073 0073 0074 007Y 007U 0135 0136 0137 0165 0168 0180 0181 0195 019f 0237 C237 0237 3277
0237
0261
C237
0262
0237 0241 0242
02R2 0282 0282
02U3
0282 _ _
0243 OiU7 0248 0248 024R 025U 0255 0255 3255 0255 C256 C25t 9256
K
L
n
001 4 0066 0067
027 i 0273 0273
0014 0043 OOU'
cc14 C159 0160
0067 0067
0274 0274
0043 012E
0145
0288
0138
0146 0147 0160
62118 0288 O ~
0139 0139 OlUl
0161 016U 0165 0166
R ci92 0292 02~2 0292
0146 0149 0151
0167 0265 0266
0300 0701 0301
C165
03C3
FL67 P?h7
N
P
n
S
V
Y
001 4 0149
000 (1 0057
001 0 c020
001 0 0020
0004 0043
0007
0150 0151 0152
0058 OOJ7 01R3
0258 0319 0322
0253 0257 0257
0052
0168
Ol8U
0322
0320
0169
0185 0187
0328
0321 0321
0190
0328
0211 0251 0259 0259
&A
An
002 1
002 1
Cl22
0167
012Y
0165
JB
DL
002 1
000 3
0123
0057
I3124
0061 0076 0104 0109 0106 0108 0123 0123 0142
dL
IK
IN
1Q
I X
c02 1
0015
001 5
029 i
001 5
001 5
02 98
0041
0079
0294
0155
0130
0301
0018
OORO
0296
0156
013U
0301 0303
0082 0098
03C5 0315
C158 0159
0134 0135
0100
0164
0102 0173
0166 0161
0190 cios 0213 0215 0210 0280 02~2 qzau C ~ R C c;qe c?qp
JJ 0015 0052 0052 005; 0057 0057 C057 0166 0168
KX
LL
0003
001 5
cc12
Olll?
0087 0095 0095 0096
0149 OlEl
0102 0207 0209
RN 001 5 0106 0110 0157 0161 0162 0153 0163
NN 000 L1 OOUl 0050 0052 COhl 0063 0061 0102 0102 0233 0235 0237 0326 032R
b0
NX
QP
au
OC11
000 5
ooola
001 0
OC13 0031
0012
0042 0046
0020 032i
0089
0052
03ie
0090
0307
Ra
R3
5fl
SP
38
?E
PP
oc2 1 0231
0010 0020
002 1 0304
002 1 0260
co1 c c020
00011 0057
002 1 0040
0319
0305
0262
0321
0063
032C 0323
0267 0266
032U 0328
0323
0267
032e
0258 0273 0275 0278 0284
YS 0003 0087 0097 0057 0102 0199
ry 0007 0035 0136 0131 0138 0150 0152 0161 0161 0162 0167 0169 0181 C196 0226
llss Ol2i 0123
A U
AeS
A ux
0003
023i
COO5
0093
0233
0095 0102
A VG
A YS
0022
000 3
0133
ooes
0136
0097
0136
0102
0138 0148 0150 0150 0152
OCY
DTE
r: lip
P E
I ID I B#
OOOi
0003
023i
000:
0016
001 6
0070
0087
02u2
0073
0142
0041
0102 0106 OlOE 0108
0248 03C1
0237 0255
0143 0145 0147 0152
0222

hi310
LR7O
awo
E 700
9 uoo
czoo
E zoo
rzeo
ZOO0
TOO0
8010
t70O
EPO3
@PO0
7100
XlO0
1 tF0
L100
L LOO
h 000
L 100
h 000
no00
hll0
3000
6000
GOOD
E600
L LOO
90')0
ZZOD
?ZOO
3 LOO
0100
RnOD
6030
9000
LZOO
9200
YHOG
t ZOO
OB00
LCOO
ZEOD
5570
8920
0203
ozoo
9200
2700
9203
GrOO
E610
CL75
97.00
€ZOO
Fron
8LE3
LE1 e
*$DO
9E 00
CCOO
QE 00
9LOO
6620
LLOD
2100
znzo
9200
RLL:,
0903
91 QO
QOCO
LEZG
0010
h0lO
9630
Bf0D
FEOO
6523
hLCO
OZtO
tZC0
LEZO
SBLO
L9LU
0500
Etnoo
8E00
06111
BbZO
59ro
F(,tO
ELL0
62EO
ti710
ns to
1 LZO
LBLO
L900
01100
EhZO
EOEO
LCZO
LLZO
3OLO
5L2O
HZEO
h?.EO
Car0
LR LO
ni zo
1ZLO
2310
1600
6503
Zi70
OLOO
moo
>OLO
9L LO
fLEO
6h 10
0610
6610
i3EO
5; ZU
iiZO
4f 50
L3LO
9L 00
LlZO
RV19
8KZO
EYOO
6ZtO
EL20
EGO0
LYOD
SSLD
LEZO
1 LOO
LSLO
6LLO
ZOZO
OPZG
6610
SOLO
hot0
9420
95'0
Oh20
E810
6120
N V
LSOO
hLlO
LOCO
9820
tlt?OO
PtOO
7800
L rz0
L9OO
LO70
bLZ0
L90O
zcz0
ZLOO
6SLO
1 OZD
i; 010
EhZO
net0
3610 HHZO
3010 8600
hZZO 9L30
ELLO 1LL3
soco EOSO
8hZO tal0
E610 0610
1
OLOO
9LL b
L6? 0
ZPLO
LLCO
1010
BOL O
a s
OBZO
I h? 0
081 0
LO!O
PhC 0
b6tO
M a d
LLPO
8LLO
D6Z0

GPO UTH
I W T OT
YRXGHT
*****F 0 R T R
1Xl'EI)bAL STATEHINT NUREEFS
000 5
073 1
0003 CC43 0052
0131 0131
0029 0076
0018 0158
0077
0159 oito 0164
COO3 GO88 0091
0012 0207 0211 0213
OOli 0209 0211 0215
GO18
000s
ooia
0078
coil
0065
0080
0089 coqi
0 ~ 6 6
0102
OOle OC59 no59 0060 0065
0009
oozu
0024
co75
OOlU
0173
0122
0222
0122
0222
OOU6 0052
0010 0020 0324 032R
0256 C257
0217 C21Q
0008 0026 0231
0278 C219 0296
0276 0277 C296
C274 C296
0277 0296
OlP7 OlEe 0190 0203 0204
01Ra
0173
0190 0204 02CE
0012 0211 021=
0019 0127 0128 0131 0132
0003 0088 0093
0019 C055 OCR6 0087 0087
0095 0096 0096 0096 0097
0104 OlOU 0104 0106 0106
0155 C173 0174 0185 0187
0217 0219 Oil9 0222 0223
OCO9 0011 0090 0093 0102
0118
COl2 C173 0207 0207 0209
0012 0025 0189 0190 01U9
0025 0058 0231 0304
0025 OC36 0040
48
a 3 C R O S S R E P I H E N C E LISTING*****
0171
0224
01u2
0224 0224 0313 '
020 5
0134
0087 0088 0088 0C88 OCRd 0C88 00R9 0040 00.11 0391 5093 0091 OC95 GO95
0097 0097 0100 oioo 0102 cia2 0102 0102 0102 0102 oic2 clod air2 oiou
oioa oica oioa aiio 0116 0120 0120 O ~ Z L 0122 0123 01'3 C I Z ~ 0147 ~ 1 ~ 2
0188 C199 0231 0203 OiOU 0207 0207 0209 0209 0211 0213 0213 0215 0215
0223 C224 0227 0312
0209
0205

LA DBL
10
20
3 0
4a
50
60
70
A0
90
IO0
110
t 20
a 30
140
9 EO
160
170
1 80
190
200
210
7 20
2 30
240
2 50
260
270
2 80
290
300
3 10
3 20
330
3r10
l(3000
lo100
lo200
10300
lo400
a0500
lMOO
107oa
lWJ00
lUY00
1 1000
11'100
1120d
17300
11400
llS00
1?40U
I1700
11800
I wao
1.tooa
112100
12200
QEFZNED
aa 35
0069
00 75
oow
OQ 98
07 3?
01 do
01 42
01 so
0152
0153
ai 55
0163
ai 69
01 70
01 13
01 78
c1 E2
01 93
01 91
0223
02 4u
02 166
0248
0250
0259
0262
0261
0.270
02 74
0275
0303
03 15
0325
0331
03 32
0333
Q3 34
0335
03 36
03 31
0338
0.3 30
03UO
03 It?
03 42
03U3
03 4U
03 45
03Ub
03 u7
oJua
0349
0350
0351
035%
0353
0256
0261
0265
0263
0277
0269 0270
0300
0309
031R
0036
aous
0042
0041
OOC7
0059
0060
0070
0071 0072
0073
007U
3056
0097
0088
0082
0100
0190 0205
0219
021 t
02 15
0280
02 82
0284
49

12300 035U
l,2*U0 0355
1,2500 0356
12400 0357
12700 0358
lbR0O 0359
12000 0360
1.2000 0361
13100 0362
lL?()O 0363
13300 0364
13b0 0365
13500 0366
1-30!? 0367
13500 0368
13800 0369
1x00 0370
lZ@OLl 0371
14100 0372
iu?oo 0373
0286
0288 0292
02 90
0294
0295
0305
0315
OOU7 0049 0098
0050
0052
01 02
0235
0237
0233
0326
0328
0048
0061
0063
00h7

ISI OOV6
ISP OO(r7
XSR oew
ISN 0044
ISN 0050
ISN 0052
ISk 0053
LS?i 0354
ISii 0055
ISN 0056
I58 0051
ISM 0058
ISN 0060
ISN 0062
ISN 0044
ISM 0055
ISM 0066
ISN 0067
IS# 0068
IS# 0070
ISI OOil
IS8 0073
IS# 0075
I5W 0074
I5N 0077
IS# 0070
ISH 0080
ISH 0081
Ish 0082
Isn 0083
1Sk 0084
ISH 0085
IS11 9686
ISN 0087
fSk 0088
%Sb’ BCSQ
ISN 0092
bSI 0398
XSI 0095
ISH Qa96
XSB 0097
TSI 0098
IS11 0099
ZSM 0100
I5L 0102
ISI 0103
1sw olaa
XSE 0905
xslk Qla?6
IdY 0107
ZSF 3109
ISY 0711
191 0493
52
GROW 280
GROW ,285
GROU 790
GROS 295
GROH 300
GROY 305
GROW 310
GROW 315
GROY 320
GROB 325
GROW 330
GRQd 335
GROU 340
GROW 3U5
GROU 350
GROU 355
GROU 350
GROY 365
GROU 370
GROW 375
GROW 380
GROV 385
GROY 390
GROY 395
GBOC 400
GROW 1105
FRnW 810
GROW 415
GRnY 420
GROW 425
GBOii ‘E30
Gl?O?J u35
GROP 440
GROU 045
GROW 450
GROY 455
GWCSI Lb50
GROW 465
GROW 470
GBCW 475
GROW 480
GBOW 485
GROF 480
GRnM 495
GRCW 500
GROU 505
GEOW 510
GROii 515
6808 520
GROU 525
GROW 530
GROW 535
GPOQ 560
GROH 545
GanR 550
GBOW 555
GROW 560
GROW 555

iSI 034.2
XSB 0143
53

*****F 0 R T R A N C R O S S R E P E X Z N C E L I S T I N G * * * * *
SYIBOL IBIPEi ?BAL STlrTFlENT WUBMEHS
I 011 4 0115 0137 0138
J
P
009 7
coo4
009R
0131
7
V
Y
0015
coo

SYIlBOL
OLDMX
PTXILIE
RATIO
GBOYTH
IBIGHT
ISl'kGE
ISTART
KOUNTX
Kal YTY
KPLALIT
KTOT ALL
55
*****FORTRAN C R O S S R E F E R E N C E LISTING***+*
IUTERYAL STATEIFNT HOIBERS
00111 0029 0038 0084 0092 0109 0119
0002 0023 002U 0037
0035 0080 0092 0109
000 2
0003 0073
0002 0022 0031 0035 OW4 0050 0058 OC60 0111 0126 0134
0020 0100 0106 0106 0114 0115 0122
0026 0043 0043 0044 0050 0052 OOSR 0103 0114 0115
0011 0049 0049 OOSC 0052 0053 0054 OC56 0056 0058 0103 0104 0105 0136 0139
0002 0008 0035 0076 0077 0079 0080 0082 0092 0169
OOOR 0079 0080 OOe3 0085

IABEL DEPIUEC
10 0031
20 0049
30 0056
00 0060
50 0067
60 0075
70 0095
BO 0098
90 0100
100 0107
110 0111
120 0121
130 0123
140 0134
150 0738
160 0139
10000 0141
10100 0142
EECEAEWCES
0126 0129 0133
0041
0039
0031
0090 009Q
0068
0088
0093
0060
0048 0055
01 07
0114 0117
0111
0123
0137
0134
0027
0029 0092 0109
56

53
CO l PXlER OPTTONS - BAU E= ti& IN , QPT=02 ,LX BECN T=60 ,SI Z F=000 OK,
SODRCE ,EBCDIC, NOEXST, m CECK .LOAD, flap, NBEDXT, NOID, XBEP
CDELT
c..
C,..SUBROUTINE DELTA IS THE BUBGE KUT'IA EGUATIQNS USED TO ADVANCE
DEET
D%LT
CELT
0
5
le
C..,ONE 'IXFIE STEP FCfi THE SFECXFXED LIFE STAGE. IT IS CALLED BY
C., .SUBROUT'XNE GROWTH. SUBaOUTIBE DELTI CALLS SUBROUTINE FUNC 1\T
DELT
DELT
15
20
C. I .POUR POIHIS. CELT 25
IS41 0002
ISM 0003
ISH OB04
XSN 0005
ISN 0006
IS1 0007
PSN OOCa
ZSN 0009
ISM 0010
1SI Q0Il
XSI oaia
iSN 0013
ISM 0014
XSI 0095
ISH 0016
ISH 0018
ISN a034
xsw 0020
ISN OQ21
ISI 0022
LSI 0023
ISY 062Q
IS# 0525
ISS 0029
ISI 0028
IS1 0029
Ish- 0030
IS@ 0031
C. DEL'r 31)
S UBROUTINE DELTA (UDIH e IN, ISTAGE ,I YR .K NA T L, KPLART RATIO PS N, PSI?, DELT '3 5
1 EST) nriv ---_ urr .-
CoflHbHpLSTAGE/AKX(5) ,AKXO (51 ,AYS(5) ,DE(5) ,CTE(5) .PI(ILL(S) ,TX+EFT(5) DEL? 45
1 ,IRIGflT (5) .KX 15) I KXO IS), YS (5) DELT 50
CORMON /SKTTA/Y (1) ,DEBY (1) .BUY( 16,l) DELT 55
REAL KNATL,KPLABT DELT 60
c THIS ROUTINE PERFORBS THE RUNGE KUTTA CaLCuL~~IoWs. OELT et;
H DElISTAGEl DELT 70
CALL PUNC (IN, SSTACE,IWR, KIATI, KPIAIT,RBTIO,PSW. FSP,PST) OEZT 15
DC 10 I=l,NDIF DELT 80
AUX 11,I) =Y (L) DELT 85
90 &OX (PSI) *DERY[I] OELT YO
20 CONTINUE DELT 95
C HONGE-KUTTA EQUATION$ POLLOW
n E m 100
30 DO QO I=l,Nr?IPI DELT 305
Z=fl+AUY (R,X] DELT 110
aox 9 5 ~ =z )
DELT 115
Y(I)=AUW~1,~)*.4*Z UELT 120
IF {Y~I) .IT.c.) x(x)=a. DELT 125
40 CCB'XINUE DELT 130
C z=x*. 4+H DELT a35
caLL FDIC (IN, ISTAGE~IYB KBAT L, KPXA NT,~APIO,PS N, GSP,PSTI TJELT le0
DC 50 x=i,Hmr DELT I45
Z=H1DPBY (I) DELT 750
AllX (6.1) =Z DECT 155
Y (I)=AUX(1,I)+.296977~~AU~~5~~)4~~587596*2 CELT 160
IF QT(1) .LT,O.) I [I) 50. DECT 165
50 CCNPTBUE DELT 170
c EEL? 175
C z=x+. 455737~~ DELT 180
CALL PUIC (IN I ISTILGE,IPR KNATI, KPIAB'I. RATIO ,PS N, FSP,PST) DELT 985
DO 60 I=I,HCIH
DEL? 190
Z=H+DERY (I) DEL" 195
AWX {9,1) -2
DELT 200
91 (X)=AUX (1 ,I) e. 2181004*IUX ( 5,1)-3.0509€5*AMX (6,I) b3.832865WZ DELT 205
LSN 0032
ISN OQ3Y
SSbl 0035
ISW 0036
ISI 0037
IP (I (I) "L.T.0.) Y (I)=O,
60 COWTPNUE
C z-xatd
CALL PUNC (IN, XSTAGE,IYR, KIRILTL, RPLA ET. RATIO,PSN, ESP, esr)
DO 70 I==3,NCIE
Y (X) =AUX (1, I) *.17476O3*AUW (5,9 1 - a 55 1 U@C7*AUX (6, I) 4 1,205536.
DELT 210
DELT 245
DELT 220
CELT 225
DELT 230
DELT 235
ISN 0038
ISH 0040
SSB 0041
ISH 0042
1 aoX(7.I)+.17~l8Q8*e*DEBY (I)
IF ~Y(I).LT.o.) r(I)=o.
70 CONTINUE
80 BETULIN
EID
DELT 2UO
DELT 245
DELT 250
DELT 255
DELT 260

SYEBOL
H
Y
z
DB
IN
KI
YS
Am
A OX
A IS
0 Tt.
In
KIO
PSK
PSF
PbT
Am0
Om x
PfhC
N U E
onn
PKlLL
ILEPT
KYAT L
EAT10
IPIGHT
I SI ACE
58
*****F 0 R T R A N C R 0 S S P E P E R E N C E I I S T I N Gat***
IIIPERNAL STILTEMENT NOUEERS
0006 0013 0021 0029 0037
OOOe COO9 0009 0010 0010 0012 0013 0014 OC15 OC15 0016 0016 0020 0021 0022 0023 C023 0023 0024
0024 0028 0029 003C 0031 0031 0031 0031 OC32 OC32 0036 0037 0037 0037 0037 0037 0037 0038 0038
0004 0009 0015 0016 0016 0023 0024 0024 0031 0032 0032 0037 0038 0038
0013 CO14 0015 0021 0022 0023 0029 0030 0031
0003 0006
0002 0007 0019 0027 0035
0003
0003
000 3
0004 0009 0010 0013 0014 0015 0022 0023 OC23
000 3
0003
0002 0007 0019 0027 0035
0003
0002 0007 0019 0027 0035
OC30 0031 0031 0031 0037 0037 0037 C037
0002 CCC7 0019 0027 0035
0002 0007 0019 0027 0035
000 3
0004 0010 0021 0029 0037
0007 C019 0027 0035
0002 0008 0012 0020 0028
OOOi
000 3
0003
0036
0002 0005 OC07 0019 0027 0035
0002 OOC7 0019 0027 0075
000 .~.. 3
0002 COO6 0007 0019 0027 0035
KPLAUT 0002 0005 0007 0019 OC27 0035

LISEL DEPIWED REFERENCES
10 0010 oaca
20 0011
30 a012
40 0018 0012
50 0026 0020
60 0034 0028
70 0040 00 36
80 0041
59

COllPILER OPTIONS - NAHE= HAIN,OPT=02,LIHECNT=6O,SIZE=OOOOK,
SOURCE, ESCDIC , NOLIST, WGDECK ,LOAD, PAP, NOEDIT, NOID, XREP
CPUPC
c...
PUNC
PIPNC
0
5
C...SVBROUTINE PUNC CALCULATES TCE CHANGE I N STANDING CPOP FOR PUK 10
C...THF SPECIFIED LIFE STAGE DUE TO NATURAL HOFIALITP AND, I F THE Pmc 15
C...POYER PLANT is mCEls I N TAE BODEI, DOE TO PLANT RORTALITY. PONC 20
C... PONC 25
ISN 0002
ISH 0003
ISN 0004
SOBBOUTINZ PUNC(IH,ISTAGE,IIR,KNA~L,KFLAU~,RATIO,FSN,PSP,PST) PIPNC 30
COB?TON/ ISTAG3/AR1(5) , AhXO (5). AY S (5) ,DE (5) ,DTE (5) ,FRILL (5) ,ILEFT (5) PONC 35
1 .TRIGHI (5),KX (5) ,KYO (5) ,IS ( 5) Fufl- 40
COM RON /P AR/IEND ,ISKP, ISH. KSTP ,N N, F. CP, TE , 1 PUYC 45
IS1 0005 COHMON /RKTTA/ U1,DNXCT PUNC 50
ISN 0006 REAL KNATL, kPLANT.RTOTAL FTlNC 55
ISN 0007
ISN 0008
REAL KX,KXO,YX
I S = IS'IAGE
PUNC
PUNC
60
65
ISN 0009 BUP = 0. IUNC 70
ISN 0010 IF (YS(IS).LT.I.) GO TO 10 POMC 15
ISN 0012 BOF = (KX(IS)-KYO(IS))*((Nl-~S(IS))/~S(IS))**3 PUNC 80
ISN OD13
ISU 0015
IF (NX.L~.~S(IS).AND.ILEP~(I~).EQ.~) BOP = 0.
IF (NX.CT.~S(~~).AND.IRIG~T(~S) .EC. 1) BUF = 0.
PUNC
PUYC
85
90
ISU 0017 10 KNATL = KX(1S) + BUP PUNC 95
ISN 0018
ISN 0019
ISN 0021
KPLANT = ISP*PKILL(IS)*QP/V
I F (IYR.EQ.0) KPLANT = 0.
KTOTAL = KNATL + KPLAMT
PUK 100
FONC 105
FUNC 110
ISW 0022 RATIO = KPLANT/KTOTBL PONC 115
ISN 0023 PSN = EXP(-KNAIL*DTE(IS))
FUNC 170
ISN 0024 PSP = EXP(-RPLINTID'lE(1S)) FUNC 125
ISN 0025
ISH 002.5
PST = rXP(-KTOTAL*DTE
DNXDT = -RTOTAL*HI
(IS)) PUWC 130
PUNC 135
ISN OC27 RETURN
PONC l6tO
ISN 0028 END PUNC 145

61
*****F o B T E A N c B o s s R E P E R I n c E L I s T I N G*****
IYTBRNAL STATEHENT NU8IBEES
coo 4
0004 0018
0003
000 2
0008 0010 0012 0012 0012 0012 0013 0013 .0015 CC15
0003 0007 0012 0017
000 4
OC17 0018 0023 0024 0025
QOOS ooc7 0012 on13 onis 0026
0004 0018
coou
COO3 0010 0012 OOli 0013 0015
000 3
000 3
COOS 0012 0013 0015 0017
0003 0023 00211 0025
0023 0024 0025
0004 0018
0002 0019
0003 0007 0012
0002 0023
0002 0024
0002 DO25
000 3
000 2
000 4
0004
000 4
000 0026
0003 0018
COO3 GO13
0002 0006 0017 0021 0023
OD02 0022
0003 0015
0002 COO8
0002 no06 0018 0019 0021 0022 00241
0006 GO21 0022 0025 0026

UBEL DBEIUEC REPEitZNCES
10 0017 0010
62

COUFILER CPTTONS - NAN E= HATN.OPT=02.LIRECN'I~60~SI2I=000OK.
SOURCti,~BCDIC,WOLIST, BOOCECK,LOAD, !4AP,#OEDIT,NOID,XB
C EQQ
c...
C.. .SUBROUTINE EQUAL CALCULATES A FIRST ORDER IICBTALITX RATE
C,.,COEPFICIENT FOB ADOLT CLASSES 4-13 FOfi YEAR ZERO. TRXS
C,..CBLCULATION XS DONE USING A NEUMN EHAPHSON TECHNIQUE AND
C..,IS CESIGNED TO GEYERALTE AN ADULT. AGE CISTRIEUTIQN THAT UILL
C.,,PRODOCTICN THE SAHE NUMBER OF EGGS AS SPECIFIED BY ONE OF
C. ,THE INPUT PARAflETERS.
c*,*
EP
ISN 0002
ISN 0003
ZSN 0004
SUBBOUTlNE EQUAL (bDOLf,ADOLTS. DCYO ,NEO. PEQUAL ,BHFI BO)
cOaacR/sDULTT/~CY(20) .FX(20) .SfiAT{20),SMAT[20)
cOHnoN/PAR/IEnD ,ISKP .ISW * KSTP ,N 1, F, QP,TE, V
ISN 0005
DIHENSION ADULT(20) ,ADULTS(ZO), DClU (20) ,FCF(JO)
ISH 0006
REAL BEO,BS,KO,KB
ISN 0007
DO 10 K=1,3
1.58 OGC8
ISN ocos
ISH 0070
XSN 0011
ISN 0012
10 DCTO(K)=DCY (K)
R O=PEQ QAL/NEO
DO 20 K=l,IEID
20 RllF (K)=SBAT (K)*SHAT (Kf * E X (K)
S1=RHF (1)
ISM 0013
ISM 0014
ISN 0015
XSN 0016
ISH 0017
AXP=1.
DO 30 K=2,4
AXP=BXP*EXP (-DCYU(K-1)
30 S1=51*Rt!P(K) *AXP
D= {RO-Sl)/AXP
*365.)
xs1 0018
ISN 0019
ISH 0020
ISN 0021
XSN 0022
ISH a023
ISH 0024
ISH 0025
ISN 0026
ISH 0027
ISY 0028
IS1 0029
ISM 0030
ISN 0031
ISH 0032
xsw 0033
ISN 0034
ISM 0035
IS% 0036
ISH 0037
LSN 0039
ISN 0041
WRITE( 12,10000)
WRITE (P2,lO 100) ROIS 1, AXP, C
DPEST=. 1E-7
X TE B X= 20
ITER4
KO= 1.89903B-3
c...
C.. .START ITERATION LOOP
c, m.
40 PPK=O.
PK=D
PX=l*
DO 50 K=S,I'EID
AK= R
PX=EXP (-KO* [AK-4.)*365.)
FK=PK-RHP(K) *PX
50 FEK=FPK+365.* (AK-U.)*G?lP (K)* PX
QUO T= P I( / FPU
K N-KO-F UOT
DF=ABS (KN-KO)
WRITE( 12,10200) RQ,KN,DP,XTER
X T E B=I E R + 1
IP (1TER.EQ.ITERX) GO TO 60
IP {DP.LE.DTEST) GO TC 60
I Y (Kla.LT,o.) K#=.5*KO
ISN 0043
KO=KN
ISH 0044
GC TO a0
ISN 0045 60 KK=4
XSN 0046
DO 70 K=KK,IEID
XSN 0047
70 DCYW (K)=KN
ISH 0048
ORITE( 12,10200) KO,Kl,DP,XT€R
63
%QUA 0
EQUA 5
EQUA 10
EQUA 15
EQUA 20
EOUA 25
EQOA 30
EQUA 35
EQU 40
EQUA 45
EQfJA 50
ZQUA 55
EQUA 60
EQUA 65
EQUA 70
EQUA 75
EQUA ao
EQUA 85
EQUA 90
EQUA 95
EQUA 100
EQUA 105
EQUA 110
EQUA 115
PQTJA 120
EQUA 125
EQUA 130
EQUA 135
EQOA 140
EQUA 145
EQUA 150
EQUA 155
EQUA 160
EQUA 165
EQUA 170
EQIJA 175
EQUA 180
EQUA 190 185
EQUA 195
EQUA 200
EQUA 285
EQUA 210
EQUA 215
EQUA 220
EQUA 225
$QUA 230
EQUA 235
EQUA 240
EQUA 245
EQUA 250
EQUA 255
EQUA 260
EQUA 265
EQUA 270
EQUA 675

D
K
P
V
AX
rl?
PL
RK
Kbl
KO
I(#
NS
Pll
UP
BO
S?
TP
ABS
A XP
DCY
EYY
PB:
P PK
1 sn
NSa
i( ?IP
UCI a
i?itiD
ISKP
ITER
RbT P
QmT
SMT
SaA T
AOULT
DMST
EWAL
ITERX
AWLTS
soot(
0028
a034
0025
004 5
000 6
000 6
000 u
COO6
0026
0004
0002
oaa 2
000 4
003 4
6011 3
0003
001 5
000 3
0024
GO64
000 2
000 2
060 2
000U
0004
002 2
0004
C032
000 1
0003
000 2
c02 c
000 i
002 1
000 i
0029 0071
0035 0039
0030 0030
0046
0033 0034
0023 0029
0029 003c
0009 0017
0016 0016
0015 OC15
coca
0029
0011
0031 0031
0006 0009
0005 0011
0005 0coe
COlO 8027
0035 OC76
0033
0011
0011
0005
0039
0037
0005
oo4a
003i
0035 0041 0041 0043 0047 OC38
00.31 0034 0035 ODUl 0043 OOl8H
0031
0019
0017 0019
0016 0617 8Q19
0032
0032 0016 0030 0031
0015 0011.9
0046
0036 0017 0040

UBhL
10
20
30
40
50
60
70
10000
10100
10200
10300
DE FI ti Er
00 C8
0011
00 16
00 24
0031
00 45
0047
0051
0052
00 53
0054
BEFBRENCll
0007
0010
0014
OOUU
0027
0037 OC39
0046
00 18
0019
003s ooue
0049
66

67
APPENDIX B
INPUT DATA CARDS FOR SAMPLE
1 13 OUO 0010 128. 335, 1
01 uo 01 01
4.6957E-3
.5 .r .5 .5 ,029
100.0E? 45. 0.2 0.7 0.7 1.4 1.0
08 7. 14. 21. 28. 34. U2. 49.
RUN
.029 40
.0536 .0243 .236l .4482 .2365 .Q000 .0013 .0000
.O02510 .001tl00 .000Fll 0. C . O . Q . 0 . 0 . 0 . 0 . 0 .
1.
.50 .52 .54
.o .o .0
.o .o
.94096 1.1476
1. 1. 2.
.56
.o .e
.o
1.36ES
.60 .62
1.0 1.
.205E6
1.56E6
.6u .h6 .6a
1. 1. 1.
.297E6 .42@"6
1.76E6
-70 -70
1. 1.
.57226
EGG ST4GE
1.151
0.00YO 2.
1.0 1.0 1.0
T APVAG STAGE
0.16115
0 0
1.U7EQ 28.
1.0 O.R 1.9 0 0
JUVENIff: I ST4GF
0,05115
2.55??7 30.
1.0 0.8 1.0 0 0
JlJVENVLE: 2 STAGE
0.0 12a5
1.0 0.8 1.@
JrlVFNrLT 3 STAG*
0. Q 097 20
0
A.98E5
0
2.29E6
100.
tSa.
1.0 0.9 1.0 0 0
0.
.70
1.
747P6

...
... f4 ... II)
. ... . .I . .O . .. .
. . *I .
... . .
r;l
.I. ...
P
0
0
0
3
0
0
ku .........................
4
& 0 0 0 0 0 0 0 0 0 0 0 w 0 0 (3 0 0 0 0 0 0 0 -0 v
c
X e
II. 0 0 0 0 0 0 0 CI 0 0 0 c3 a 0 I2 o 0 0 0 0 0 0 0 0 0
h 0 0 0 0 0 i: G 0 0 0 0 0 CJ 0 0 0 0 0 0 0 0 0 0 0 0
*.I 0
e .........................
0 0 c> 0 '> 0 9 0 c, 0 0 0 u 0 0 0 0 i, c. ,.> 0 3 c, c3 0
00 0 c ;o n n c: 0 c 0 c c1 c. c2 0 0 0 0 c) 0 c, c 0 0
0 0 0 r3 0 0 a 0 0 0 0 0 0 0 0 0 C' 0 0 * c e 0 0 4
e3 o o L== nu r, o o o c o 3 o o o ci o o 3 3 v o o v o
Lo .........................
c4 P i r r r ,-. r v- - c r r r r r r r r c r r 7 r- .--
.-
70

STAGE 2 IAfVAL STAGE
KX(l/DALI)a 0.16UQ999981E 00
KXO (l/OALI)= 0.73159996278 00
YS(blUNBER)= 0.1469999872E 10
LIFE PERIOD (DAY) f 28.0000
R a I a or TRI xr VALUE USED IN THIS RON TO THE *SIANDAAD- RX VAZOE GIVEN AEOVE = 4.000
RATIO OF THE KXO VALUE OSXD I N TBTS BUN TC TEE KX V&UE USED IN THIS RUN = 0.800
RATIO or TRE IS V ~LUP OSEO 18 ~ R X S RUY TO THE *STANCARD* TS PALOE GIVEN ABOVE = 1.000
LEPT LIlE OF COMPEISATION PURCTION DISABLED... IC
RIGHT LIKB OF COBPENSATION PUICTION DISABLED... NO
TINE( ) FOPULATTCNf-) TGANSFER PRODUCTXON POPULATION (+) KNlTL KPLANT
2.00
Y. 00
16.00
23.00
30.00
37.00
44.00
.o
.26393 09
.2375E 09
.9725E 09
.2050E 10
.2238E 10
.1594E 10
.a
.o
.c
.o
.21792 06
.5095E 06
.2005E 06
.1532f OB
-45972 08
.2CBUE 08
.2025E 09
.3844E 09
.2028E 09
.61OOE 01
.lf32Z 08
-30991 09
.2584E 09
.1175f 10
.243EE 10
.2Q40E 10
.1594E io
-1463E 00 .O
.1451E 00 .o
.1632E 00 .O
.1665E OC .O
.1692E 00 .O
.1645'3 00 .O
51.00 -50631 09 .1854E 07 .892OE 06 .5Or(4E 09 -15528 00 -0
58.00 .l62OE 09 .3975E 07 .1115E 07 .1580E 09 .1U13E 00 -0
65.00 -39591 oa .2769E 07
.O .3682I 08
.1342B 00 .o
72.00 .1357E 03 .8258E 01 .a .927@E 03 .I3162 00 -0
79.00 -29133 02 .o "0 .2913E 02 .I3162 00 -0
TOTAL PRODOCTION INTO THIS LIFE STkGB
TaPAL TBAIISEEB INTO THE NEXT LlPE STAGE =
X SURVIVAL 1HROOGH PHIS LIFE STAGE =
0.1002105651E 11
0.1126tC656CE 09
1.1
BAXILIUN STAIDIIG CROP POR THIS LIFE STAGE = C.2836734976E 10
RATIO OP RAXIOIIB STILRDIRG CECP TO EQUILIBRIUPl STANDING CROP (NRAX/YS) = 3.9298
REDUCTION Ib IOMEER OF ORGANISRS ENTERING THIS LIFE STAGE DUE TC THE POWER PLANT...
I REDUCTION In NU~BER or ORGIINISRS ENTERING THIS LIFE STAGE DUE TO THE POYER PLANT...
.....................................
0.0
0.0
STAGE 3 JUVENILE 1 STAGE
RS( ?/DALI}= 0.51149997863-01
KIO (l/DAlj= 0.40919993C7E-81
XS(NUlEEB)- C.2650000000E 08
LIFE PERIOD (DAT) = 30.0000
RATIO DP fRE KI VALUE OSED IR THIS RUB TO THE mSTANDARD* RX VALUE GIVIN ABOVE = 1.000
RATIO Of TU8 1110 fhLUE USED I N THIS RUN TO THE RX VdLUE USED IN TRIS RUN = 0.800
RUIO Of' TAE YS VALUE USED I N THIS RUN TO 'I8E *SlAWDABDn Y.5 VAIOE GIVEN A3OV2 = 7.000
LgPl' LIMB OP CORPEISAIICN PUICTION fZSABLEE... NC
RIGHT LIMB OF COBPEISATIOI FUNCTION DISABLED... RO
TIME( ) FCPULATICN (-) TRARSFER PRODUCTION POPULATION (+) KWATL KPLANT RATIO
30.00 .o .a .2179E 06 .2179E 06
R &TI0
0.0
0.0
0. (I
0.0
0.0
0.2
0.0
0.0
0.0
0.0
0.3
P SN
0.0166
0.0772
0.0104
5.009Q
O.00Re
0.0100
O.St30
0.0191
0.0233
0.0251
0.9251
PSI
P SP
1.0000
?.GOO0
1.cocc
1.0000
1 .coo0
1.n00
1.0000
1.0000
~.OOOO
1.0000
1.0000
FSF
PSI
0.0166
9.0172
C.il1OQ
3.0094
0.0088
0.0100
0.0130
0.0191
0.0233
0.0251
0.0251
PST
U
d

37.00
44-00
51.00
58.00
45.00
72.00
79.00
86.00
93.00
1 GO. 00
f07.i)O
.U573E
-55363
-1478E
-33972
-53993
.529UE
-34898
07
07
08
08
08
08
ce
.2101E OR
.e5103 07
.7218E 07
-1916E 02
.o
.o
.o
.o
.179?1 06
-4058~ c5
.33781! 06
.59392 06
-56671 06
.7037E C6
.1857E 01
.SO958 06
.2005I 06
.I8543 09
.3975~ a7
,27691 G?
.a2588 01
.0
.o
.o
.o
.0
.5062E 07
.5736E 07
-1663B 08
.3795€ 08
-5464~
oe
.5290E 08 ,
. N ~ K E oe
.x132~ 38
.7943F 07
.5144E 04
.1630E 02
.0535~-01 .a
.46093-01 -0
.50262-01 .0
.5138E-01 .0
.60262-01 .0
.S132E-01 .O
.S148B-31 .o
.5106E-01 .0
.4795E-O1 -0
.4227E-01 .O
.4092E-01 .O
TOTAL PRODUCTION IHTO THIS LIFE SThGE = 0.11261C6560E 09
TMAL TBAWSPER iHTO TRB NEXT IIFE STAGE = 0.2165459200E OB
0 SUBVIIAL THFOUGB TAIS LIP? STAGE = 19.2
axxnun SLAWDING CROP PCR anrs LIFT STAGZ = 0.5835945t00E Of
blATI0 OP HAXI?IUf! STANDING CROP ?Po EQUILXBRLUfl SlAWDIWG CROP (NEsX/TS) = 2.2022
itkDUCTIOH I# bUXBZK OY OAGAHISHS ENTEaIhG THIS LIFE S1A6E CUE TC T9E POWEP PLART...
b REDUCTIC3 ik XOflUER OF OFiG1815NS ElTEBIRG TRlS LIFE STAGE DU2 TO THE POUEE PLRNI.
STAGE U JUVENILE 2 STAGE
KX ( 1/DAY 1 = 0.12 4 499 98 4 1E- 0 1
KXo(l/DAFj=
ns(~uaaxn)=
0.9959995747E-02
o.egaooaoocor 07
LXPL PERIOD (DAY)= 190.0000
BAT10 OP THE KX VALUE USED IW THIS RON TO THE "SSAMDBED" XX VALUE GIVEN dBOYE = 1.000
SAT10 OF TWE RXO VALUE USED ZW THIS EUI TO TBE KI VALUE USED IN THIS ROW = 0.800
HAT10 OF THE \1S VALUE USED IH THIS BUM TO TBE "STBWCAPD" 1S VALUE GIVZN ABOVE = 4.000
LaPT LXX3 Of CORPEHSA?IO# PUHSTION DISABLED...
RIGHT LIE18 OF CONPENSATIOB PUHCTICN CISABLZC...
WC
WO
TIflB( 1
60.00
74.00
88-00
'1 02.00
123.00
137.00
151 .OO
165.00
179.00
193.00
a 07.00
FOPULATIDN (-1 TRAWSPSR
.o
.iui9~ a7
.8153E 07
.1789E C8
.1390E 08
-3148E 08
.o
-0
.a
.o
.a
.o
.9642E 07
.eosse G?
.63053 07
-51222 07
.43382 07
.0
.o
.c
.o
.u
YBOD UCTI ON
.52C$L 05
-7526: 05
.lq76E 07
.4258E 01
.o
.o
.o ." R
.c
.o
.i)
POPULB"0N
.5208k OS
.'155SI 07
-96292 137
.1789E 08
.1306E 08
.?I288 08
.9475E 07
.?959E 07
.6668I 07
.562(cE 07
.4?3?E 37
{t) KWATL
3.0
0.0
0.0
0.0
0.0
0.0
0 . 0
0.0
0.0
0.0
0.0
0.C
0.0
.1100B-O'! .ci 0.0
.12058-0 1 .o 0. 0
-14 BEE-0 1 .o 0.0
. 128lE-01 .0 0.0
.125'3E-0'1 .a 0.0
.1245E-04 .o 0.0
. i2h5E-07 .o n.p
. ?2U;E-Ol .c a. c
.1233P-@4 .F 0.0
.1220E-U1 .u 0.0
T ~ A PSODOCTICN L
INTO THIS LIFE STRGI = 0 . 2 ~ ~ 5 ~ ~ a8 9 2 0 ~ ~
TOTAL TBAHSlEh IBTO TEE NEXT LIP?. STAGE = 0.45780U70003 07
% SURVIVAL IHIOUGH T~IS Elm STAGE = 21.9
MAXShll3 STANDING CROP BOB THIS LIFE STAGE = 0. 1827956eOOP OE
SATLO Of HAXldULI STAXDlHG CROP TC. EQUXLIBdfUfl STIINDIUG CRCP (NRAX/YS) = 2.3347
aZDUCTdON Xh bCR3Eii 08 OPGJYISIIS ENTEEZEG THIS IIFB SPACE D:'Z S'C THE POIIZR PLAMT...
X BEDUCTIC)i IN NOHEEX OF ORGAHISRS ENTEEING THXS LKFE STAGE DiII 'to THP POWEP DLXX'I...
0.0
0.0
IURBdB 01 Y'JYIBILP 2 KILLED ET It',P:NGEflENT...O.O
0.2565
0.2509
0.2214
0.2147
0.1640
0.1539
0.2135
0.2962
G.2373
0.2814
0.2930
1.0000
1.0000
1.0000
1.000c
l.r)OOO
1 .oooo
1.0030
1. COD0
1.0003
1.QOC.O
1.0000
P SN FSP PST
0.2565
0.2509
0.2214
0.2141
0. 1640
0.3589
0. i135
0. 2152
0.2373
0.2814
0. 2930
0.3329 1.0000 0. 3329
0.28ao 7.oooc O.:HEO
0.2 25 8 .I . no oc 0.22 5 F;

STAGE 5 JUPBlXIE 3 STAGE
RI( ?/Dli I) = 0.971 99976 rl4E-0 2
KX0 (l/DAY)= 0.7775995880E-02
YS(SUBBER)= 0.22900000COL 07
LUOB PEBIOD (Day)= 158.0000
RATIO OP TBE KX VALUE USED IN THIS RUB TO THE *STANEAEB~ RX VALUE ~r9m ABOVE = ?.GOO
Bm'iO OF TKI 110 VALUP USED IN THIS RON TO THE KX YALIIE USED 18 THIS SUN = 0.8GO
RULO OP THB YS PALOE USED IS TRIS RUN TO THE WS'IANDARO" IS VALUE GIVEN ABOVE = 1.000
LEIT LfLl13 01 COOPElSAlICH PUKCTION fXSABLBC...
RXGHT LIUB CP COBPEISATION PULiCTION DISABLED...
HO
NO
TIffE( ) EOPULATION(-) TRANSFER FRODIICTION POPULATION I+) KUATL KPLANT RATiO
209.00 .O .e .4578L 07 .4578P 07
223.00 -39822 07 .5 .o -392413 07 -1050E-01 .O
2 37.00 ,34513 07 .o .0 .3Q03E 07 .99?3E-01 .O
251.00 .3006E 07 .o .o ,29653: 07 ,9779E-02 .O
265.00 .2622E 07 .a .o ,2587I c3 .Y726E-02 .O
279.60 -22893 07 .o .0 .2258E 07 .Y?20E-02 .a
293.00 .1Y97E 07 .a .o .1Y7OE 07 .9716E-02 .O
307.00 .174r(E 07 .a -0 .I7205 07 ,96993-02 .O
321.00 -15233 07 -0 -0 .1S32E 07 .96U7E-02 .O
335.00 -1331E 07 .o -0 .t313F 07
. .9577E-02 .O
349.00 -116SE 07 .o .o ,1149E 07 .9489E-ti2 .O
363.00 .1020Z 07
.o .o ,1009E 07 .9389E-02 .O
TOPAL PPODUCTICN INTO THIS LIFE STAGE = 0.4578097COCE 07
TOTAL TBANSPBR INTO THB NEXT IIFZ STAGE = '2.9808884375E 06
X SUBPIPAL THROUGH TBIS LIFE STAGE = 21.4
flAXIRUA STANDING CROP FOB THIS LIPE STAGE = 0.4578047COOE 07
RAP10 OF RAX1)IUB STANCING CROP TO BQUILIBBIUR STANDING CRCP (B!!AX/YS) = 1.9491
dEDUCTLO60W I N KURBER OF GRGANISlS ENTEBING THIS IIPE STACE DUE TO TPE POPEF PLANT... 0.3
% REDUCTICN PL( NUKBEB OF GRGANISRS GNTEBING THIS LIFE STAGE DUE. TO THE POUER PLRF?... 0.0
NURBEB OF JfJVPNILE 3 RILLFC €!Y IFlPIBGEHENT...0.0
TOTAL NUUBEB GP JUVENILES KILLED 91 IOPINGEBEUT. ..O.O
CU~UEAT~VE EBCEAEILITY OP SURVIVAL PROA EGG THRBIXH JUVENILE 3 = Q . ~ ~ O R B ~ Y Y E - O ~
EXPECTED NUBBER OP YEARLINGS = 0.98088688E 05
ADULT OISTi3TBUTION BT AGE CLASS
AGE WURB38S AGB RUKBEBS ACE RBKBEBS AGE WOJBEBS A.CB RUOBERS
3 960EBB. 2 392411. 3 235405. U 168348. 5 91787'.
6 73766, 7 461611. e 28890. 9 1BQEQ. 10 1131C..
I? 7681, f2 8431. 13 2773.
TaAL AOfdL'l'5 2 10 74 17.
PBRCEUT AGE DISTkXBUTION RELATIPK TO YEAR ZERO
AGB PBECBKT AGE PERCENT A6E PERCENT AGE PERCEW? AGE PERCENT
1 46.595 2 18.620 3 11.170 4 8.933 5 5.593
6 3.500 7 2.191 8 1.371 9 0.858 13 0.5?7
11 0.336 12 0.210 13 0.132
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
?S N
0.2008 0.?902
0.2133
c.2151
0.2153
0.2154
0,2162
0.2178
0.2202
9.2233
0.2269
FSF
1 * COOC
1.0000
1.0ODO
1 .eo00
1.00co
1 .c000
1 .coo0
1 .0000
i.C090
1.0000
?.@090
PS T
0.1Y02
0.2068
0.21 33
0.21 51
ti. 2153
0.2154
a. 21 62
0. 2179
0.2202
0.2233
c. 2269
U
c3

-lx
1 m I.
NPN
r
r
ElbJ cl
Yiu
mmm
r
.--0
s-
r m r
err4
I.I.m
...
XH
w YI
a0
0 n. Id
N
rnm -H
c
-x 1w
X k
EO
w
w x
w
isr.
aw
ux
w
L ?.
w
U
ffi w
P
74

.......... * ....... ..... .........
..CUEBBYT YEAR....... - 1- ..
...................... * ..... *.
STAGE 1 STAGE
KI{l/DlY)=
RXO ( 1/DAY) =
YS(NUHBER)=
0.1150999069E 01
0.115C999069E 01
0.0
LIFE PERIOD IDAY)= 2.0000
RATIO OF THE RX VALUE USED IN THIS RON TO THE "S'IAMDABD" KX VAIDE GIVEN ABOVE = 1,000
XATIO OF THE RXO VALUE USED IN THIS BUN TO THE KX VLLUE USED IN THIS RaN = 1.000
RATIO OF THE 15 VALUE USEE I N THIS BUM TO THE *STANCARD" YS VALUE GIVEN ABOVE = 7.000
LEFT LIHB OI COHPENSITION FUNCTION DISABLED... NO
BXGRT LIKB GP COBPENSLTIOU FUNCTION CISABLEC.. . NO
TIME( 1
0.0
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
18.00
20.00
22.00
24.00
26.00
28.00
30.00
32.00
34-00
36.00
38.00
40.00
92.00
uu.00
46.00
40.00
50.00
FCFUIBTICN (-)
.a
.5306B 09
-53061 09
.53063 09
.3363E 09
.2905E 09
.24C5E 09
.2Q05B 09
-22773 10
.2337E 10
.2337E 10
.3743& 10
.4437E 10
-44373 10
.49371 10
.i401E 10
-23413 10
.2341B 10
.7733E 09
.O
.o
-0
.12sox 08
.i2m a8
.i287~ a8
.3081E 07
TEANSPER
.o
.1518B 08
.1518E 08
.1518E 08
-1518E C8
-68821 07
-68828 07
.6882E 07
.6882E 07
.6687E 08
-66878 08
.6687E 08
.i269~ a9
.i269~ as
.$2693 09
.1269E 09
.6698E 08
.669BB 08
.669BE 08
.o
.o
.o
"0
.3682E C6
.36821 06
.3682E 06
PRODUCTION
.15311 09
-1531E 09
.1531E 09
.1531E 09
-69432 08
.6943~ a8
.69Y3E 08
.6943~ a8
.6746E 09
.6746E 09
.6796E 09
.1281E 10
.1281E 10
.1281E 10
-12811 10
,6757E 09
.6757L 09
.67573 09
.o
.O
.o
.o
.3714E 07
-37142 07
.371(IE 07
.O
POPULATION (+) , KblhTL
-15311 09
.6685E 09
.66BSE 09
.6SB5E 09
.390CE 09
.3031E 09
.3031E 09
.3031E 09
.2945E 10
.2949E 10
.2945E 10
.4957E 10
-55908 10
.5590E 10
.5590€ 10
.295OE 10
.2950f 10
.295CE 10
.7063E 09
.o
.o
.o
,1621E 08
-1621E 08
.1621E 08
-27131 07
.1151E 01
.1151E 01
.1151E 01
.1151E 01
.1151E 01
.1151E 01
.I15173 01
.115tE 01
.115lE 01
.1151E 01
.1151E 01
.1151E 01
.1151E .11SlE 01
-1151% 01
.1151E 01
.1151E 01
.115lE 01
-1151E 01
.11512 01
.11§1E 01
.1151E 01
-1151E 01
.1151E 01
.1151E 01
KPLANT XATIO
.4696E-02 0.004 1
.4696E-02 0.0041
.0696'?-02 0.0041
.46968-02 0. 004 1
.4696E-02 0.0041
-46962-02 0.0041
.4696B-02 0. @O* 1
,U696E-02 0.0041
-4696E-02 0.00Ul
.46963-02 0.0041
.1(6963-02 0.00Crl
.4696P-O2 0 -0041
.4696E-O2 0.0041
.4696E-32 0.0041
-46961-02 O.OOU1
.4696E-02 0.0041
.46962-02 0.0041
.U696'E-O2 0.0041
.U696E-O2 0.0041
.4696E-02 0.0041
-4696E-02 0.0041
-46962-02 0.0041
.46961-02 O.OOU1
.4696E-02 0.0041
.U696+02 0.C047
TmAL FBODUCTIOU INTO THIS LIFE STAGE = C.99999612933 11
TOTAL TBAllSIBR IllTO TBB NBXT fI?B STAGE = 0.9927446528E 10
% SUEVIVAL TBBOU6B THIS LICE STACE = 9.9
HUIMUR STABDXNG CROP FOR TRIS LIFE STAGE = 0.5590171648E 10
RAT10 O? llkXIHUE STARDING CBCP TO EQOILfBEIUH STAUDIlG CROP (%RAX/XS) s 0.0
REDUC?IOU IY UUHBER 01 OE6AlIISHS 8If'lBBIIIG TNXS LIFE SllGE DOE TC THE POSER PLANT... 0.32768OOOOOE 06
X RBDIICTIOX IN NDHBER OF CRGAlIISIS EUTERING THIS LIFE STACE DUE TO TRE POWER PLANT... 0.00
P SN
5.1001
0.1001
0.1001
0.1001
0,1001
0.100t
0.1001
0.1007
0.1001
0.1001
0.1001
0.1001
0.1001
0.1001
0.1001
0.1001
0.1001
0.1001
J.lOC1
0.1007
0.1001
0.1001
0.1001
0.1001
0.7001
P 9P
0.9907
C.0907
C.99Cl
0.9907
c.9907
0.99 07
0.9909
0.4907
0.9907
C.9907
C. $907
0.9907
C.5907
0. 99c7
0.9907
c.99c7
0.9907
c.9907
C. 9907
0.9907
0.9907
0.9907
0.9907
c. 9907
0.9907
PST
0.3991
0.0997
0.C991
0. oq91
0.8991
0. 0991
0.C991
3. c991
0.0941
0.C991
0.0991
0.0991
0.0991 0. C991
0.0991
0.0991 0. C991
0.0991
0.0991
0.0991
0.0991
9.0991 0.0991
0.0997

STAGH 2 LhFVIL STAGE
KX[l/OI1)= 0.16449999BlE 00
RX0 I Y/DAT)= 0,131 5999627E 30
rSfl4UK&lSII)= 0. 34699998721 10
LUX ?EgiOD (3bY)= 28.0090
BAT10 OP THE XX YALUB USED IN THIS RUN TO TAE "STAXDARD" KX VAI02 GII'.'H ABOVE = 1.003
iUlIO OP THE RAO PAIOE CSED I N THIS BUN TC TtiE B1 VCLUE USE3 IN THIS RUN = 9.800
BUIJ OP ZBE TS VALUE USED IX THIS RUN TO THE "STAHCARB" YS BRLUF GIVEN ABOVE = 1.000
LEFT ELK8 UP CONP&XSATIO!4 FUNCTIOX DISABLED... NO
RIGHT LIflB OF CONPENSITION PCNCTION CISABLEC... NO
TINE4 1 EOPULATICNI-) TEANSPER PBODDCTIOA FOPUIILTIO): (+I KNATL KPLANT RATIO
2.00
9.00
16.00
2J.00
30.00
37.00
44-00
5 1.00
58.00
65-00
7 2.00
79.00
.\.
.257a~ OY
-22QOE 05
.9493E 09
.lYY7E 90
.2180E 10
-1535E 30
.4738E 09
-1482~ 09
.351iul? 08
.'1250E 03
.3134E 02
.o
.o
.c
.o
.1906E 36
.U512E C6
.I7791 06
.1647E C7
.3549E ca
.24&7E O?
.1414E 01
.o
.1578E 08
.4551e3 OB
.2C65E 08
.2006E 09
-380BE 09
.2009P 09
-0
.@@37E 06
.1105€ 03
.o
-0
.D
.1518E OR
.3034E 09
-24962 05
.1461E 30 .46963-02
.1447E 00 .U696?-02
0.0311
0.0314
,145CI YO .I6303 00 -46962-02 0.0280
.2378E 10 .16bOI 00 -46962-02 (1.0275
.2381E 10
.1682E 00 ,4696E-02 0.0272
.15351 10 -16458 00 .U6963-02 0.0278
.4?22Z 09 .1543F 00 .46965-02 0.0295
.1446€ 09 .1406E 00 .46965-02 0.0323
.3299E 08 .1339E 00 .4696E-02 9.033')
.1236E 03 .1316E 00 .4696E-02 0.0345
.3134E 02 .1316B 00 .4696E-02 0.03C5
TCAl PaOCiiCTiOX INTO ?3lS LIP2 STAGE = 0.99274465288 10
T ~ A TBllXSIE8 L
IWPO THE PEXT LIP3 STAGE = 0.999476100CF 08
I 5UBYIVAL THBOOGH IRIS LIFE STAGE = 1.0
"IgxLIJd STANDING CROP PO8 Ti115 LIFE STAGE = C.2374163056E 10
l'h4i0 OF MAXIMU!! SThNDINb CRCF TO ECUIL33BIUO SThkDING CROP (NRAx/YS) = 1.8872
#&DUCTION Ik hU8BER OP ORGANISHS ENTERING THIS LIFE STAGE DUE TC THE POdEB PI.INT... 0.936'39984005
1 LEDSCTION i h NUOBER OF OYGlNISflS ENPERPHI; THIS LIFE SaAGE 3UE TO TPE POWER PLART... 0.93
STAGE. 3 JUVIBILE '1 STAGE
KX{?/DBY)= 0.57749997862-01
XI4 (I/DB1)= 0.40919993C7E-01
YS(NUPiBIB]= 0.2450000300E 08
LIFE P26XOD 1DdI)= 30.0000
RblIO OF THE XI YAiUZ OSED I3 THIS 63W TO THE "STANEAPD" RX VALUE "U:V?A ABOVZ = 1.000
BAT13 OF THE ICY0 VALUE USED Zbl THIS SOX TO TRE Xk! 88LUE USSD I# THIS BUN = 3.803
BAT10 OP THE YS YALUE 3SED I N TXPS RUM TO THE: "STAHDIRD" YS YATCE GIVEN AEOYE = 1.903
LEFT LIWB OP COBEBNSATICN PilKCPZOil EISAUZEC... NC
RlGidT LIMB OP COflPBNSdTlOW PUHCTIOH DISABLID... MO
? SN
0.0167
0.0774
0.0104
3.0096
C.0090
0.3100
C.0'33
0.0195
0.0235
0.0251
3.0251
PSP
0.8769
0.8768
0. F76P
0.8768
C.8763
0.8768
0.8768
c. R7h8
0.8766
0.P768
0. "768
TLBEi ) FCPVLRTION I-) TRANSFER ERODUCTIO&' POPffL$TION {+I KNdTL XPLANr RATIO PSN DS I PST
30.00 .o .c .490QP 06 .'lYOfE 06
PSP
0.0147
0.0152 0.0091
C.OOEri
0.0074
0.3CER
0.0117
0.017'1
0.J2O6
0.0220
0.0220

37.00 .3962E 07
44.00
51.00
58.00
65.00
.4726E 07
-12771 08
.2944E 08
.U565B 08
72.00 .4t20~ a8
79.00 .3059E C8
86-00 .1789E 08
93.00 .7013E 07
100.00 .9671E 06
107.00 -36832 01
.o
.o
.o
.o
.9512E 05
.3387E C5
.2845E 06
.5868E 06
.4720E 06
.5595E 06
.o
.4512E 06 .liG33E 07
.t779I 06 .4904€ 07
.16U7E 07 .1442% 08
.3549E 07 .3299E 08
.2417E 07
.1U14B 01
.o
.o
.4800E 08
.4716E 08
-3029~ ae
.173GE 08
.c ,65473: a7
.o .407EE 06
.o .3683E 01
.4896E-01 .4646E-'J2 9.0948
.4546E-O1 .4696E-O2 n.0936
.8973E-01 .4696E-02 0.0863
.5116E-01 .4696E-02 0,08* 1
.5 50 lE-0 1 .4 6 9613- 02 0,37 86
.5603E-01 e Q696E-02 0. C773
.5119E-01 .4696E-02 0.0840
.50801-01 .4696E-02 0.0846
.4708E-01 .4696E-02 0.0907
.4200E-01 .4696E-O2 0.1006
.4092E-01 .46961-02 0.1029
TOTAL PRODUCTION INTO THIS LIFE STAGE = 0.99947616002 OB
WAL TRAYSPER INTO THE NEXT IIPE STAGE = 0.1795907200E 09
I SUBVIVAL THEOUGH THIS LIPE STAGE = 1e.o
NAXiYUtl STANDING CROP FOR THIS LX?E STAGS = 0.5179577€00E OE
RATIO OP nAXInun STAWCING CRCP TO EQUILIBRIUPI STANDING CRCP (Nnrx/rs) = 1.9546
REDUCTION I N WUNBBR OP GRG&NISnS ENTERING THIS LIPE STAGE DUE 'IO THE POWER PLANT... 0.1266304OCOE 08
% LLDUCTICY I N NUBBER OF QRGANTSKS ENTEKING THIS LIFE S'IRGE DUE TO THE POWER PLAN4...11.24
STAGE 4 JUPENItE 2 STAGE
KX(l/DAT)= 0.1244999841E-01
KXO [ l /DlY)= 0.9959995747E-02
TS[NUPIBBR)= 0.89800000COE 07
LLPa PERIOD (DAY) = 100.0~00
Bur0 OF THE KX VALUE USED I N THIS RUN TO THE "STANDARDn KK VAICF GIVEN ABOVE = 1.000
8ATIO OF THE RXO VALUE USED I N THIS ROW TO THE RK VALUE USED I N THIS RUN = 0.800
~ATTIC OF THE PS V ~LUE USED IN THIS RUB TO THE -STANCARD* PS VALUE GIVEN ABOVE = 1.000
LEFT LIMB OI CCOPENSITION FUNCTION DISABLED... NC
HIGBT 1188 OF CONPEHSATION FUNCTICN CISABLEC... NO
0.2604
3.2556
0.2250
0.2155
3.1920
O.lR62
0.2153
0.2178
0.2435
0.2837
0.2930
:.ficF!6 0,2251
ii.56dh 0.2220
0.3686 0. ?954
C,e680 3.1572
0.8686 0. 7668
0.~~6136 0.3hia
0.e6~6 0.1870
0.8686 0.1692
C.8680 0.2115
0.8686 0.2464
0.~086 0. 2545
TIRE( ) POPULATICI{-) TRANSFER PROD UCTI ON POPUIATION(+) RNATL P SN PJB PST
KPLAIT RATIO
60.00 .o .o
.4012E 05 .4012€ 05
74.00 .1181E c7 .o
.6325P 05 .1244E 07 .10R2B-O1 .2630E-03 0,6237
88.00 .6817B 07 .o
.1220E 07 .8067f 07 .1242E-01 .26301-03 0.0207
102.00 .1492E C8 .o
.4410E 01 .1492E 08 .1317E-01 -2630E-03 G.Cl96
123.00 .1156E 08 .o
.a .1136E 08 .1251E-Ol ,2630E-03 F.0206
137. OQ .96763 07 -0 -0 .9505€ 07 .1245~-01 ,2630~-03 0,0207
151.00 -80982: 07 .o .O -79551 07 .1245!!-01 .2630E-03 0.0207
165.00 .6779E 07 .o .o .666OE 07 .1241E-O1 .2630F-03 0.C207
179.00 .5679E 07 -0 .o .5580€ 07 .1233E-O1 .2630E-O3 0.0209
193.00 -47663 07 .o .O .4663E 07 .1219E-0 1 .2630B-03 0.021 1
207.00 .4007P 07 .o .o .3939E 07 .1203E-01 .2h30E-03 0.9214
TOTAL PRODU~IOR INTC THIS LIEB STAGE f
TOTAL TRANSFER INTO THE NEXT LIFE STAGE =
0.17959C7200E 08
0.3805661 COCE 07
X SURVIVAL TISO1IGH THIS LIFE STAGE = 21.2
YAKIYU8 Sl'ANDIHG CXOP FOR THIS LIFE STAGE f 0.1520892000E OE
BIT10 OF NAXIflUO STANDING CROP TO EQUILIERIO8 STAUDIUG CRCP (NRlll/YS) = 1.6936
EKDUCTIOU IU NUIIBER OF CRGANISYS ENTERING THIS LIFE STAGE CUE TC THE POWER PLANT... 0.3695520COOE
% RBDUCTICY I N AUHBIR OP ORGANISOS ENTERING THIS LIFE STAG8 DUE TO THE POWER PLANT...17.07
07
WUlBEE O? JOYtWILE 2 KILLED El I!tPINGEHENT...O. 292753B 06
0.3390 0.9740 0. 3302
C.ZR8Y t.9740 0.2814
C.2679 C.C7110 0.2609
0.2862 6.9740 0.2788
0,2879 C.C7UO 0.2804
0.2880 0.9'10 0.2805
0.2890 0.97413 ?. 2315
0.2915 C.97UC C.2840
0.2954 0.9740 3.2378
0.3004 C. 9740 0.2Y 26
U

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0' L3 BOhEE' 00-E z 7
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SOC2'O

PZBCEUT AGE DISTRIBUTION RELATIVE TO CUBBENT YEAR
AGE PERCEBT AGX PERCENT AGE CIRCEBT AGE PERCENT AGE PPRCERT
1 41.691 2 20.311 3 12.184 4 9.749 5 6.1C1
6 3.818 7 2.389 8 1.495 9 0.936 10 0.5M
11 0.367 12 0.229 13 0.144
SIZE OF POPOLITION (YEAR CLASSES 1-13) FOR THE
CUPBENT YEAR AS A PERCERTACE OF TRE SIZB OF TAE
POPULATXOR II YEAR ZEI(O... 0.917
kEDUCTIOll I N )10!!8SR OP YElRLiNGS DUE TO PLANT... 175407.
‘4 RECUCTIOM IW NUHBLR OP YEARLINGS DUE TO PLANT...17.88
BBDUCTIOR I11 TOTAL NURBEE OF LCULTS CUE TO PLANT... 175406.
X REDUCTION IN TOTAL WUHBER OF ADULTS DUE TO PLANT... 6.32
NUBBBU OF EGGS EXPECTED TO BE PROKUCIC BY
‘la NUBBBR OF ONE-PEAR OLD SIPXPEC BASS FOR THE CURRENT
PEAa DURING TREIR LIFE TIfiE AS A PERCENTAGE OF ?HE WOllBER
OF EGGS PRODUCED IN PEAR ZERC..... 0.821

.............. * .................
..COBfiZ14T YEAR.. .. . . . - co- ..
.... i..I.....*
STAG3 1 STAGE
..................
KX[I/DAY)= 0.115C99906YE 01
xXO(t/Dafj= 0.135C999369E 01
KS [ NllflSERj- 3.0
LiPE PERIOD {DaYj- 2.0000
in10 OF TSl XK VALUE IJSFD IN TRIS RUN TO THE "S2AHCARD" KX VAZOE GiVIl ABOVE 5 1.030
2kXO OF THE SZC YALUE USED I N TI4I.S RUN TC THE KX V%LUZ USfD :H THIS RUti = 1.000
BAYIO OF TXE IS VKUE ~ S E O IN THIS su?i ~3 THE -STANCARD" rs VAL'JE GIVEN ABOVE = ;.coo
LET? ;SBB 09 CO3P3RSAT:OY PUlCTlOk UISAYLED...
NIGHT ilnB OF COflPENSATION PUliCTIOH 2ISABIEC...
NC
HO
TIHE[ 1
c. 0
2.50
4.30
6.03
a.ao
'80.30
13.00
'14.00
16.03
18. GCI
23.00
22.00
2u.09
26.3G
28.00
30.00
32.00
34.00
36.00
36.00
4b.00
42.03
44.00
46. OS
48.00
5C.00
FCPULATICN I-)
.c
.3762E 09
.37621 09
.37623 09
.23F151: 09
.'9706E 09
.i7C6E 09
.1706E 09
.1615)! 1C
.1557E :c
-15579 I0
.2654S :O
.31451 15
.3f46E 70
.3loSE I O
.'1703E YO
,166CE 10
.966OE 70
.5484E 09
.1406& 02
.o
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.~BBQB 37
.9725E 07
.93252 07
.2?E5E 07
TI; ANS FER
.a
.:076E 08
.10:6E CE
.1076E 38
.13JsB C8
.(IBEOE C7
.4AYOE 07
.ueaor 07
.4IJB0E 07
.Q?42E 06
.4742B CB
.4742E OB
.9001E ce
.~OUTE ca
.9OCIE 06
.900m ua
.4750E 08
.4750E 08
.475OP C8
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.i61'IE C6
.2617E 06
.261?B 06
PttOD UCTION
.YOh6E 39
.1086E i9
.1C86E OS
.?OEOE 09
.b923€ 08
.lr923f 08
-49231 38
.4923i: 06
.4783E 09
.4783? 39
.U782E 09
.90JGI 39
.908CE os
.yia31 09
.90SCf 09
.U791E 09
-4791-5 09
.4791E 09
.o
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.263YE 07
.2634E 07
.2534E 07
.c
POPULATION (+)
.IO861 09
.4740€ 09
.4740E 33
.47UOi 09
.27701: 39
.2t49E 09
.29U9E 09
.211)9E OY
.2ORBF 10
.20884 30
.2088f 10
.35151 13
.3964E ic
.3$642 10
.3444E 13
.2392E 10
.2092'1 10
.2092t 10
.500qE 09
.1406t 02
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.1150E OR
.7950E 08
.1153E 05
.1924€ 07
KNA'IL RPLAYT
.715iE 01 .4596?-02
.i151!? 01 -46961-02
.:I515 0; .3696+02
.?I558 07 .S69bZ-02
.!15TF 01 .h696P-02
.11572 01 .lr696?-02
.?151E 01 .46968-02
.?151E 01 .46964-0?
.1151E 01 ,46963-02
.7157E 01 .4696E-02
.1157is 5'1 .U696E-02
.1357E 31 .U696E-32
.Y3518 01 .46968-02
.9154E 01 .4696E-02
.I1558 01 .4696E-32
.1151E 01 .0696F-52
.1151E 01 .46?6?-02
.315'lE 01 .4696E-32
.1151E 01 .06968-62
.1157B 01 .4696E-02
.115lE 01 .46962-32
.1151E 01 .4696?-02
.li5YE O! .U696?-02
.1151E 3: .i(G96E-32
.t151E 01 .4696':-32
SATTO
0.0041
1.OO;rl
0.004:
9.004:
0.0041
0. i,34 3
0.0041
0.0041
0..)041
0.0OQ1
0.00crl
0. 304 i
0.004 I
0.0oct
0.0041
3. @Ob1
0.004 1
0.0041
0. oolii
0. 0041
0.004'
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0.004c'i
c. 004:
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O.?Oc!l
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0.1001
0.1OC1
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0.7OC1
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0.i061
0.7301
0. l"0 1
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0.9977
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2. $967
0.99117
2.0997
A. '907
0.9Y0'7
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0.0Q?7
3.9907
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i. 9907
C. 9907
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9.99n7
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2.

STAGE 2 KB%VLL STAGE
KX(l/DiiT)=
KXO(l/DAI)-
3. 16449999818 00
0.13153996271 00
t?(YUIBBB)= 0,1469999872E 10
ILPPE PSRIOD (DAY)= 28.0000
iiAN0 O? TRE KI VALUE USED I N THIS RUfl TO TRE aSUBDARD* FX YAZUX GIVEN ABOYZ = 1.000
iiATXO OP TEE KXO VALUE USED IR THIS ILUN TC TRE KX V&OE USED IR TBIS BOW = 0.800
RATIO OF THE 1s PALDE USEE IN THIS BUN TO THE "STIIDABD- rs VALUE GIVEN ~~BOVE = 1.000
liWT LIME OP COEPEXOITIOR PUHCTIOK DISABLED... NO
BIGHT LIHB OF COHPENSATICN FUNCTION CISABLEC... SO
TINE( J POPUIATICN(-) TBllNSPER PIIODUCTION POPULATION (+) KNATL KPLANT RATIO P sx P S? PST
2.0c .c .o .lo761 08 .1076Z 08
9.00 .38U62 09 .o -32291 08 .21691 09 .1&25L 00 .9696E-02 0.0319
16.00 .16598 09 .G .1464E 06 .1806E 09 .1415E 00 .Q696E-02 0.0321
23.00 .6819~ a9 .o .1423E 09 .82rri~ a9 .1591)0 00 .1(696E-02 0.0286
30.00 .1U27E 10 .l4b5E 06 .27oa~ 09 .lh96E 10 .16452 00 -4696723-02 0.0278
37.00 .1621t 10 .3656E C6 .1425E 09 .IY~UZ: io .1645E CO .9696E-0,2 0.0277
44.00 .1121E 10 .142SE 06 ,42203 01 .1120E 10 .1691E 00 -4696E-02 0.0278
51.00 .3534S 09 .1313E C7 .62663 06 .3S21E 09 -1S01E GO .96961-02 0.0303
58.00 ,1122E 09 .2859E 07 .78338 06 .1093E 09 .1386B 00 -4696E-02 0.0325
6 5.00 .2661l! 08 -38553 07 .a .24751 08 .13342 00 .4696&-02 0,03UO
72.00 .9709B 02 ,32682 01 .o .93e2~ a2 .131bE 00 .9696E-02 0.0345
79.00 .2197E 02 .o .o .219?I 02 .1316E 00 .4696B-02 0.0345
TOTAL PRODUCTIOY INTO THIS LIFE STAGE 5
TOTAL TIAIISIES INTO PBB NEXT LIPE STAGE =
0.7039401984E 10
0.7e42RC480CE 08
X SURVIVAL IHEOUGA THIS LIFE STAGE f 1.1
HUIHUH S'PANDIBG CROP POR THIS LIPE STAGE = C.2C25001972E 10
hATIO OP NAXIHBH STANDING CRCP TO EQUIfIBEIUA STANDING CROP (N#AX/YS) = 1.3716
#LDUCTIOM I# PUllBBR OF ORGINISllS BNTERINC THIS IIPE STAGE DUE TC TRE POPER PLANT... 0.238165452EE
J HEDUCTION I11 NUKBGB OF ORGAHISRS ENTERING THIS LIFE SZAGE DUE TG THE PCUEB ?LINT...29.?5
STAGE 3 JUVENILE 1 STAGE
6X

0 0 0 0 0 0 0 0 c) 0 La
OOQOoOOUOaO
P - c^ n in N m w m o P
-ltmIn*r-l-mmoo
r c
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e H
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t
t
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Vl
PI
X
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cs
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vi
3 Y
........... u
"
rl
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e
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r
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w w liI &.I k2 w
wwmmmm
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wofmmrn~
m FP-N rmo oc> 00
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n 0000 F
P
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.v W
w
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rrJ
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- r.
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9
sa ea 0
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W w 111 w cr'w w bl el w
OlilmInm-NmNS
WPimfJ2fOPOCD
0NNNNNNNN.r
-e- C - C F T - r C F r
..........
7-r
00
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.z
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.C
F.-TFI-FPPFP
0000000003
............
f ~ f f l U * f J S f
m 0. m 0. m 0 cn Ln rn 01 i7~
10 Lo 9 G w IO v, w 10 w io
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0
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SaGB S JUVENILE 3 STAGE
RX( l/DkY)=
KXO {l/D&Y)=
0.97?9997644E-02
0.77759 95 88OI-02
YS(UDIIBEB)= 0.2290000000L 07
LIFE PFAIOD(DBT)= 158.oooa
RATIO OF THE KX VALOE USED IN THIS RUN TO THE 'SIANtAfiD" KX VhLDE G:VE!I 6B0VE = 1.000
BYPSO OF !ME KXO VALUE USED I W TRIS RUN TO THE KX VALUE USED IU THIS RUN = 0.800
RATXO O? THE IS YALUE llSE0 I N THIS RUN TO THE "SIANOARD" 1s YhICE GIVEN BEOVE = 1.000
LEPT LIMB OF CORPENSAIICN PU8CTION CISABLEO... NC
RIGHT LIME CP COOPENSATION PUNCTIOW DISABLED... NO
TXME( j FOPULATICN (-1 TRANSFER FRODUCTION POPULATION (+I KNATL KPLANT RATIO PS?: EST P5 'I
209.00 .a .o .3198E 07 .319eE. c7
223.00 .28173 07 .a .o .2778E c7 .9744E-02 .263OF-O3 3.0263
237.00 .2449B 07 .o .a ,24751 07 -97213-02 .26303-03 0.0263
251.00 .2130E 07 .a .a .21OOE 07 .9719P-O2 .2630E-03 0.0283
265.00 .1852E 07 .0 .u .1827E 07 .97063-02 .26332-03 0.02b4
179.00 .1611E 07 .o .o . ~ 5 8 4 07 ~ -96693-02 .26308-03 0.0265
293.00 .1403E 07 .a .0 .I3831 07 -9607E-02 -2530n-03 10.0266
3 C7.00 .12223 07 .a .o .1206E 07 .9523E-02 .2630E-OJ 0.0269
321.00 .1066B 07 .O .o .lo521 07 .9423B-02 .2630F-03 0.0271
335.00 -93183 06 .a .a .9193E 06 .9314E-02 .2630E-03 0.0275
349.00 .815YE 06 .o .a .8047E 06 -9201E-02 .26307-03 0,027~
363.00 .7147E 06 .0 .o .7059E 06 .90871-02 .2630P-03 0.6281
TOTAL PRODUCTICR INTO THIS LIFE STAGE = 0.3157542CCCE 07
TOTAL TRANS€El IhTO THX NEXT LIFE STAGE = 0.6872511E75E 06
L SORVTVAL 'IHOOUGH THIS LIFE STAGE = 21.5
aAXIMUM STANDING CROP POI! THIS L IFE STAGE = 0,31975U2COOE C7
R U i O OF MAXIRUE STINCING CROP Ti3 EQUILIBBTUB STANDING C4CP (NCAX/YS) = 1.3963
EDUCTION I11 NZIPBER OF CRGINISRS ENTLBING THIS IIFE STAGE DUE TC THE POWBa PLANT... 0.1380505000E
% REDUCTION I N WUOBEB OF OEGlNISMS ENTEBING THIS LI€E ST4GE DUt TO THE POWER PLAN:...30.15
NULIBEP OP JUVfllILE 3 KILLEC El! IBPXNGERENT...0.661230E 05
TOTAL UOHBER CF JUVENILES KILLED BY IKPINGE~ERT...0.307SlUE 06
CUIIULATIVE EBCEAEXLITY OF SUBVIVAL PEOR EGG THROUGH JUlENILB 3 = 0.96920257E-05
EXPECTBD NORBEE OF TEARLIRGS = 0.68725025B 06
ADULT DISTPIBflEIOI RT AGE CLASS
AGE NURBERS AGE NWMBEBS AGE NUf3BERS AGE NURBE6S AGE NOHBERS
1 687251. 2 275272. 3 165345. 4 1324'13. 5 83023.
6 52037. 7 32618. E 20448. 9 12@20. 10 8039.
I1 5041. 12 3162. 13 1983.
TOIPAL ADULTS 147 9506.
PBUCENT AGE DISTRIBUTION RELATIVE TO IEAB ZERO
AGE PBBCEUT AGE FERCENT AGE PERCBRT AGE PXECENT AGB PERCENT
1 32.bll 2 13.062 3 ?.En6 Q 6.286 5 3.9'40
6 2.U69 7 1.548 8 0.970 9 0.608 10 0.383
11 0.239 12 0.150 13 0.094
37
0.2145
3.2153
0.2153
0.245e
0.2170
0.2192
0.2221
0.2256
0.2295
0.2337
0.2379
c.9543 0.2058
0.9593 0.2365
3.9593 0.2066
C.9593 0.2070
0.9593 0.2082
C.9593 0.2133
c.5593 0.213?
0.9593 3.2154
c.5593 0.2292
0.9593 c. 2242
C.9SYJ 3.22R2
m
w

85
ff'
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v)
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tn
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U
-
it
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C O r l f J 3 3a-f***
7 CC G2 07 01 CCQODWWCU
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N.-O"-.r*.- F *- r - r 7-
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0000000 000B00
. . . . . . .
0000000 000000
......
- 0
.............
0000000000000
86

STOCK RECRUITREHI TABLE
DWlNXTIOlS OP CCLUIIN AEADIIIGS
I = YEAR + 1
SQ) = YUHBER CF SPAPNERS
a(1) = NUOBER 01 RECRUITS (3-YEAR OLDS)
a3(q = NU~EEE OF RECRUITS AT 143 SPAWNED IT x
93s (1) = RECRUITIENT RATE (RECRUITS PER SPAWNER)
SB(1) = NUMBER OP SPIlNERS EEIATIVE TO NUOEER OF SPAiilEES AT 1=1
RBfI) = NUNEEF OF RECRUITS RELATIVE 'IO NUNBEB OF RECPUI'IS AT X=1
R3R(I) = NUOBiR OF RECRUITS AT 1+3 REIATIVE TC TAE RUMSEX OP RECRUITS AT 1=4 (R3(1)/83(1))
B3&SE(X) = RELATIVE RECFUITOEN? RATE (R3R (I)/SR (I) 1
I
1
i
3
4
5
6
7
8
9
10
11
12
13
1u
15
16
17
18
19
20
21
22
23
14
25
26
27
28
29
30
31
32
33
w
35
36
37
38
39
UI)
41
S (I)
17568 9.
175689.
17 568 9.
175684.
175685.
165908.
151954.
152875.
14 956 4.
147435.
14567C.
143955.
1422812.
340646.
139316.
138010.
136753.
13556 3.
134437.
13 350 0.
132693.
131958.
131263.
13059U.
12995 8.
129365.
128813.
128316.
127848.
12741 1.
127003.
126622.
126267.
12593 4.
12 562 2.
125328.
12505 2.
12479U.
124552.
124325.
124113.
R (1)
235405.
235405.
235405.
193309.
193 30 9.
19 3 30 9.
193309.
193309.
191632.
189 4 4 2.
187251.
185199.
183387.
183762.
180246.
178 8 5 ld.
177551.
176813.
176007.
175162.
174301.
173445.
172667.
171973.
171348.
170770.
170229.
169717.
169237.
168789.
168371.
167974.
167601.
167251.
166922.
166617.
166330.
166062.
165809.
165570.
165345.
R 3 (11
193309.
193309.
193309.
193309.
193309.
191632.
1 8 9 842.
181251.
185199.
183387.
181762.
186246.
178854.
177551.
776813.
176007.
175162.
174301.
173465.
172667.
171 973.
17 1398.
17 0770.
17C229.
16 9717.
165237.
168189.
166371.
167974.
167601.
167251.
166922.
166617.
166330.
166062.
165809.
16 5570.
165305.
0.
0.
0.
83s (I)
1.1003
1.1003
1.1003
1.1003
1.1003
1.1551
1.1990
1.2269
1.2382
1.2438
1.2478
1.2521
1.2571
1.2624
1.2692
1.2753
1.2809
1.2858
1.2902
1.2934
1.2960
1.2985
1.3010
1.3035
1.3059
1.3082
1.3103
1.31 22
1.3139
1.3154
1.3169
1.3183
2.3196
1.3208
1.3219
1.3230
1.3240
1.32U9
0.0
0.0
0.0
SR(I)
1.0000
1.0080
1.0000
1 .GOO0
1,0000
0.9443
c. 8993
L1.8701
0.8513
0.8392
0. e29 I
C.8194
o.ae9E
C.8005
0.7930
C.78S5
G.7784
0.7716
0.7652
c.7599
c. 7553
C.7511
0.7971
c*7433
0.7397
0.7363
0.7332
C.73OU
0.7277
0.7252
0.7229
0.7207
c. 71 87
0.7168
0.74 50
0.7134
C.7118
0.71 03
0.7089
0.7076
0.7064
?iB(I)
f.0000
1 .0000
1 .00@0
0.8212
0.8272
0.8212
0.8212
0.8212
0.8141
0.8047
0.7954
0.7867
0.7790
0.7721
0.7657
0.7598
0.7542
0.751 1
0.7477
0.7441
0.7408
0.7368
0.7335
0.7305
0.7279
0.7259
0.7231
0.7210
0.7189
0.7170
0.7152
0.7136
3.7120
0.7105
0.7091
0.7078
0.7066
0.7054
0.7049
0.7033
0.7024
B3P (I]
1.0000
1.0000
1.000G
1.GD00
1.0000
0.9913
0.9800
0.96 87
0.9580
0.9487
0.9403
0.F324
0.9252
0.9185
0.9147
0.9:05
0.9061
0.90 17
0.8972
0.8932
0.8896
0.8864
0.8834
0.8806
(3,8780
0.8755
0.8732
0.87 10
0.8689
0.8670
0.8652
0.86 35
0.85 19
0.8604
0.8591
0.8577
0.8565
0.8553
0.0
0.0
0.0
1.
1.
1.
I.
1.
1.
1.
1.
1.
1.
938SS (I)
1.0000
1.0000
1 .0000
1.0000
1. OOOO
1.0418
1 .a898
1.1132
1.125ii
I. 1335
1.1343
1.1379
1.1425
1. I473
1.1535
1.1591
1.1641
1.1686
1.1726
1.1755
779
80 9
824
R47
ea9
a9 o
908
926
90 1
955
1.1969
1.19R1
1.1993
1.2004
1.2014
1.2024
7.2033
1.2042
0.0
0.0
0.0

89
APPENDIX D
TABULATION OF DETAILED RESULTS FROM THE VARIOUS SENSITIVITY ANALYSES

T-i
p!
d
h
w
m
w
.4
&?
x 4
c?
N
".
ri
N
CJ &?
a
3 m
r- r- W m
4 w w W
4
- 4 m c.3 r- W W
w w FT? w w
L o w
L r l w
z 2 oo r- W W
w w w w w W
m
2
w w w W w
- 0
r l i
cd r- W W
w
m w

Table D2. Summary of model runs for the sensitivity analysis for KX, the first order mortality rate coefficient
7: AKX = 1.3
Level 1: AKX = 0.5 Level 2: AKX = 0.75
Level 3: AKX = 0.9 Level 4 : AKX = 1 .OO Level 5: AKX = 1.1
Level 6: AKX = 1.2
output
_-
Life
varlable
Plant Plant on Plant Plant on Plant Plant on Plant Plant on Plant
stage
Plant on
Plant Plant on Plan1 Plant on
code off, off, Year I Year 40 J.'ear Off, Year i Year40 year^ off, Year 1 Year40 year^ off, Year 1 Year40 vearO off, Year 1 Year40 year^ off, Year 1 Year40
year 0 'ear 1 'I'ar40 yea o
~ ~~ ~~
~ ~ ~ Level
1
3
4
5
6
7
8
9
I0
11
12
13
14
15
16
17
18
19
62
64
66
68
70
73
72
73
74
Egg 1.00 Ell
Egg 10.0%
Larvae 1.00 E10
Larvae 2.56
Larvae 7.4%
Juvenile 1 7.37 E8
Juvenile 1 5.40
Juvenile 1 5.3%
Juvenile 2 3.93 E7
Juvenile 2 4.06
Juvenile 2 31.2%
Juvenile 3 1.22 E7
Juvenile 3 5.35
Juvenile 3 24.0%
Yearlings
and adults
2.94 E6
YearLings
snd adults
5.82 E6
YeUliIIgs 50-20-12
and adults
Yearlings
and adults
0.439
Eggs
Larvae
Juvenile 1
Juvenile 2
Juvenile 3
Yearlings
Yearlings
Adults
Adults
1.00 Ell
9.9%
9.93 E9
2.51
6.7%
6.67 E8
5.21
5.4%
3.63 E7
3.75
32.6%
1.18 E7
5.16
24.0%
2.84 E6
5.72 E6
50-21 -12
0%
0.7%
9.5%
7.6%
3.3%
1.0 E5
3.4%
1.0 E5
1.7%
9.67 E10
9.976
9.60 E9
2.47
6.9%
6.63 E8
5.20
5.5%
3.63 E7
3.75
32.5%
1.18 E7
5.16
24.0%
2.S4 E6
5.63 E6
50-20-12
3.3%
4.0%
10.0%
7.6%
3.3%
1.0 E5
3.4%
1.9 E5
3.3%
1 .OO EL 1
10.0%
1.00 E10
2.21
2.9%
2.91 E8
3.12
11.0%
3.20 E7
3.09
25.5%
8.17 E6
3.57
23.4%
1.91 E6
3.89 E6
49-20-1 2
0.514
1.00 Ell
9.9%
9.93 E9
2.17
2.6%
2.61 E8
3.55
11.3%
2.95 E7
2.85
26.2%
7.71 E6
3.37
23.6%
1.82 E6
3.80 E6
48-20-12
0%
0.7%
10.3%
7.8%
5.6%
9.0 E4
4.7%
9.0 E4
2.3%
9.51 E10
9.9%
9.44 E9
2.09
2.7%
2.56 E8
3.54
1 1.5%
2.95 E7
2.85
26.1%
7.71 E6
3.37
23.6%
1.82 E6
3.70 E6
49-20-12
4.9%
5.6%
12.0%
7.8%
5.6%
9.0 E4
4.796
1.9 E5
4.9%
1.00 E1 1
10.0%
1.0 E10
2.04
1.4%
1.65 E8
2.78
16.4%
2.70 E7
2.54
22.6%
6.10 E6
2.66
22.6%
1.38 E6
2.87 E6
48-19-12
0.570
1.00 E11
9.9%
9.93 E9
I .99
1.5%
1.47 E8
2.5?
16.3%
2.40 E7
2.27
23.0%
5.53 E6
2.42
22.7%
1.25 E6
2.74 E6
46-20-12
0%
0.7%
10.6%
11.1%
9.3%
1.2 E5
8.9%
1.2 E5
4.3%
9.06 E10 1.00 Ell 1.00 Ell
9.9% 10.0% 9.9%
8.99 E9 1.00 El0 9.93 E9
1.84 1.93 1.89
1 .6% 1.1% 1.0%
1.40 E8 1.13 E8 9.99 E7
2.49 2.20 1.95
17.0% 19.2% 18.0%
2.38 E? 2.17 E7 130 E7
2.25 2.03 1.69
23.1% 21.1% 21.2%
5.48 E6 4.58 E6 3.81 E6
2.39 2.00 1.66
22.7% 21.4% 21.2%
1.25 E6 9.81 E5 8.05 E5
2.60 E6 2.11 E6 1.93 E6
48-19-12 47-19-11 42-20-12
9.0%
10.0%
15.3%
12.0%
10.1%
0.626
Impact variables
0%
0.7%
11.6%
17.1%
16.8%
1.3 E5 1.76 E5
9.4% 17.9%
2.7 E5 1.80 E5
9.4% 8.5%
7.09 E10 1.00 Ell
9.9% 10.0%
7.04 E9 1.00 E10
1.38 1.83
1.1% 0.8%
7.84 E7 7.66 E7
1.56 1.55
19.0% 1X.O%
1.49 E7 .1 .44 E7
1.40 1.35
21.5% 19.4%
3.20 E6 2.79 E6
I .40 1.22
2i.5% 19.6%
6.87 E5 5.47 E5
1.48 E6 1.26 E6
46-19-1 1 44-17-10
29.3%
29.6%
30.6%
31.3%
30.1%
2.94 E4
30.0%
6.30 E5
29.9%
0.719
l.00El1
9.976
9.93 E9
1.79
0.7%
6.78 E7
1.32
16.6%
1.13 E7
1.05
19.2%
2.16 E6
0.94
19.4%
4.18 E5
1.13 E6
37-19-12
0%
0.7%
11.5%
21.9%
22.6%
1.30 E5
23.7%
1.30 E5
10.3%
5.72 E10
9.9%
5.68 E9
1.05
0.8%
4.41 E7
0.86
17.1%
7.55 E6
0.71
20.0%
1.51 E6
0.66
20.2%
3.04 E5
7.03 E5
43-17-10
42.8%
43.2%
42.470
47.6%
46.0%
2.43 E5
44.4%
5.55 E5
44.1%
1.00 Eli 10.076
1.00 E10
1.74
0.5%
5.19 E7
1.02
16.8%
8.71 E6
0.81
17.8%
1.55 E6
0.68
18.3%
2.83 E5
7.26 E5
39-16-9
0.821
1 .OO El 1
9.9%
1.00 E10
1.70
0.5%
4.58 E7
0.87
14.8%
6.79 E6
0.63
17.8%
1.21 E6
0.53
18.2%
2.20 E5
6.62 E5
33-1 7-1 0
0%
0.9%
11.7%
22.0%
21.9%
6.35 E4
22.4%
6.35 E4
8.8%
6.18 E10
9.9%
6.13 E9
1.07
0.5%
3.16 E7
0.60
15.4%
4.87 E6
0.45
18.5%
9.04 E5
0.39
18.8%
1.70 E5
4.39 E5
39-16-9
38.2%
38.8%
39.2%
44.0%
4 1.6%
1.13 E5
39.8%
2.87 E5
39.5%
1.00 Ell
10.0%
1.00 El0
1.65
0.4%
3.51 E7
0.67
15.2%
5.34 E6
0.49
16.7%
8.89 E5
0.39
17.3%
1.54 E5
4.56 E5
34-1 3-8
0.915
1.00 El1
9.9%
9.93 E9
1.62
0.3%
3.10 E?
0.57
13.5%
4.18 E6
0.39
16.7%
6.99 E5
0.31
17.1%
1.19 E5
4.22 E5
28- 15-9
0%
0.9%
11.9%
21.6%
21.4%
3.42 E4
22.3%
3.42 E4
7.5%
6.23 E10
9.9%
6.19 E9
1.02
0.3%
2.15 E7
0.40
14.2%
3.05 E6
0.28
17.3%
5.28 E5
0.23
17.6%
9.28 E4
2.78 E5
33-13-8
37.6%
38.2%
38.9%
42.8%
40.6%
6.08 E4
39.6%
1.78 E5
39.0%

1
3
4
5
6
7
8
9
10
11
12
13
14
15
15
17
18
19
62
64
66
68
70
71
72
73
74
Egg 1.00 EI I
Egg 10.0%
hrvae 1.00 El0
Larvae 1.64
Larvae 1.7%
Juvenile 1 1.75 E3
Juvenile 1 2.72
Juvenile i 11.1%
J~iveiiiIe '2 1.94 E7
Juvenile 2 1.89
Juvenile 2 21 8%
Juvenile 3 4.23 E6
Juvenile 3 1.85
Juvenile 3 21.8%
Yearlings
and adults
9.22 E5
Yearhngs
and adults
1.99 E6
Yexling:, 46-1 9-1 1
and adults
Yearlings
and adults
0.636
Egg
Larvae
Juvenile 1
Juvenile 2
Juvenile 3
Yearlings
Yearlings
Adults
AdiiItS
1.00 E11
9.91%
9.93 E9
1.81
1.6%
1.68 E8
2.52
11.0%
1.77 E7
1.72
22.0%
3.89 E6
1 .70
21.7%
8.44 E5
1.91 E6
44-19-1 2
0 56
0.7%
8.6%
8.8%
8.0%
7.8 E4
8.470
8.U 64
4.0%
9.16 EL0
9.9:;
9.09 EY
1.71
! .7%
1.58 E8
2.5 5
11.3%
i."8 E7
i.73
21.9%
3.90 E6
1.70
21.7%
8.45 E5
1.83 Eb
46-19-1 1
8.48
9.i%
9.7%
8.2%
7.8%
7.4 E4
8.4%
1.6 E5
8.0%
1.00 El I
10.0%
1.00 6l(f
1 .67
I .?:A
1.45 E8
2.52
14.2%
2.G6 E7
1.97
21.3%
4.36 E6
1.91
21.5%
9.43 E5
2.03 E4
45-19-11
0.633
1.00 E li
9.9%
9.93 E9
I .54
i .3$5
1.3; E8
2.38
14.1%
1.85 E?
1.77
2 I .4%
3.94 E6
1.73
21.4%
8.46 E5
1.93 E6
44-19-12
0%
0.7%
9.7%
10.2%
9.2%
9.4 E4
10.0%
1.0 E5
4.9%
8.09 El0
9.9%
8.92 E9
1.70
14%
1.27 E8
2.33
14.57;
1.85 E7
1.77
2 I .4%
3.96 E6
1.73
2 1.415
8.45 E5
i.82 E6
46-19-1 1
10.1%
10.8%
12.4%
10.2%
9.2%
9.5 E4
10.1%
2.1 E5
10.3%
1.00 Eli
1 O.&h
1.00 E10
1.93
1.1%
1.13 L8
2.20
19.2%
2.17 F7
2.03
21.1%
4.58 E6
2.00
2 I .4%
9.81 b5
2.11 E6
47-19-1 I
0.626
1.30 Ell
10.im
Y.93 E9
1.89
I .O%
3.99 F?
1.95
i 8.G%
1.89 E7
1.69
21.2%
5.81 E6
1.66
21.270
8.05 E5
1.53 E6
42-21- L 2
Inrpact variables
0%
0.7%
1 1 .6%
17.1%
16.8%
1.6 E5
17.9%
1.3 E5
8.5%
7.G9 EL3
9.9%
7.04 69
1.38
1.1%
7.84 E?
1.55
i9.W
1.49 E7
1.40
28.570
2.20 E6
1.43
21.5:'~
6.8.: E5
i .48 E6
44-19-1 1
29.1%
29.6%
30.6%
31.3%
30.1%
2.9 E5
30.046
6.3 E5
23.9%
92
1.30 E ll
1O.G%
1.00 El0
I .96
I .O%
1.05 E8
2.09
20.5%
Lis E7
z.u.2
21 2%
4.60 E6
2.01
21.6%
4.92 E5
2.13 E6
47-19-11
0.624
1.00 Ell
9.9%
9.93 E9
1.91
Tr.970
9.25 E7
I .83
i8.5

93
Table D4. Summary of model runs for left limb and right limb of the compensation function disabled at different levels of AYS at year 40
Level 1: AYS = 0.2 Level 2: AYS = 0.5 Level 3: AYS = 0.75 Level 4: AYS = 1.00 Level 5: AYS = 1.50 Level 6: AYS = 2.00 Level 7: AYS = 5.00
output
variable
code
Life
SPUe
Neither
limb
disabled
Left
limb
disabled
Right
limb
disabled
Neither
limb
disabled
Left
limb
disabbd
Right
limb
disabled
Neither
limb
disabled
Left
limb
disabled
Right
limb
disabled
Neither
limb
disabled
Left
limb
disabled
Right
limb
disabled
Neither
limb
disabled
Left
Bm b
disa5led
Right
Limb
disabled
Neither
limb
disabled
Left
limb
disabled
Right
limb
disabled
Neither
limb
disabled
Left
limb
disabled
Right
limb
disabled
1
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
62
64
66
68
70
71
72
73
74
EW& 8.31 El0 7.91 E10 2.54 E10
E= 9.9% 9.9% 9.9%
Larvae 8.25 E9 7.85 E9 2.53 E9
Larvae 3.74 3.67 2.47
Larvae 0.2% 0.2% 1 .O%
Juvenile 1 1.62 E7 1.28 E7 2.60 E7
Juvenile 1 2.24 1.73 2.60
Juvenile 1 17.7% 18.4% 18.9%
Juvenile 2 2.87 E6 2.36 E6 4.92 E6
Juvenile 2 1.49 1.21 2.32
Juvenile 2 23.5% 22.9% 21.2%
Juvenile 3 6.76 E5 5.42 E5 1.04 E6
Juvenile 3 1.48 1.18 2.27
Juvenile 3 21.4% 20.9% 21.0%
Yearlings
and adults
1.45 E5 1.13 E5 2.19 E5
Yearlings
and adults
4.15 E5 3.43 E5 4.85 E5
Yearlings 35-14-8 33-13-8 45-18-1 1
and adults
Eggs 16.9% 20.9%
Larvae 17.5% 21.6%
Juvenile 1 4.1% 1.3%
Juvenile 2 12.2% 13.6%
Juvenile 3 14.8% 17.3%
Yearlings 2.9 E4 2.9 E4
Yearlings 16.7% 20.5%
Adults 8.4 E4 8.9 E4
Adults 16.8% 20.6%
74.6%
14.8%
75.1%
78.1%
78.6%
8.4 E4
79.3%
1.78 E6
78.5%
8.52 E10
9.9%
8.46 E9
2.63
0.6%
5.45 E7
2.21
17.1%
8.32 E6
1.79
21.4%
2.00 E6
1.75
2 I .O%
4.21 E5
9.81 E5
43-17-10
14.8%
15.4%
6.0%
12.1%
13.4%
7.3 E4
14.8%
1.7 E5
14.7%
8.02 E10
9.956
7.96 E9
2.56
0.6%
4.53 E7
1.84
18.0%
8.17 E6
1.55
21.2%
1.73 E6
1.51
20.8%
3.61 E5
8.52 E5
42-17-10
19.8%
20.6%
5.3%
14.6%
17.4%
8.92 E4
19.8%
2.11 E5
19.8%
3.13 E10
9.956
3.11 E9
1.22
1.1%
3.54 E7
1.42
19.2%
6.80 E6
1.28
21.6%
1.47 E4
1.29
21.6%
3.18 E5
6.88 E5
46-19-1 1
68.7%
69.0%
68.2%
71.7%
71.8%
8.19 E5
72.0%
1.72 E6
71.5%
8.22 E10
9 .?%
8.16 E9
2.03
1 .0%
7.82 E7
2.04
17.7%
1.38 E7
1.74
21.256
2.92 E6
1.70
21.176
6.17 E5
1.36 E6
45-18-1 1
17.8%
18.4%
14.4%
17.2%
17.0%
1.34 E5
17.8%
3.0 E5
17.8%
6.83 El0
9.976
6.78 E9
1.74
0.8%
5.73 E7
1.47
18.5%
1.06 E7
1.32
20.9%
2.21 E4
1.29
20.9%
4.62 E5
1.04 E6
45-18-1 1
31.7%
32.396
24.6%
29.8%
31.1%
2.25 E5
32.8%
5.00 E5
32.6%
3.61 E10
9.9%
3.53 E9
0.94
1.2%
4.28 El
1.15
19.4%
8.31 E6
1 .05
22.04
1.82 E6
1.06
22.0%
4.01 E5
8.56 E5
47-19-11
63.9%
64.2%
63.146
67.U%
66.7%
7.92 E5
66.4%
1.66 E5
66.0%
7.09 El0 3.66 E10
9.9% 9.9%
7.04 E9 3.63 E9
1.38 0.7 i
1.1% 0.9%
7.84 E7 3.17 E7
1.56 0.41
19.0% 18.6%
1.49 E? 5.90 E6
1.40 0.55
21.5% 20.9%
3.20 E6 1.23 E6
1.40 0.54
21.5% 20.9%
6.87 E5 2.56 E5
1.48 E6 5.84 E5
46-19-1 1 44-18-1 1
Impact variables
29.1% 64.3%
29.6% 63.8%
30.6% 65.8%
31.3% 68.94
30.1% 69.5%
2.94 E5 6.1 E5
30.0% 70.4%
6.30 E5 1.3 E6
29.9% 69.1%
4.05 E10
9.3%
4.02 E9
0.79
1.2%
4.99 E7
1 .00
19.5%
9.75 E6
0.92
22.2%
2.16 E6
0.94
22.2%
4.80 E5
1.02 E6
44-19-1 I
59.5%
59.9%
58.6%
62.7%
62.1%
7.7 E5
61.5%
1.6 E6
61.2%
5.20 El0
9.95
5.16 E9
0.68
1.5%
6.65 E7
0.89
19.7%
1.31 E7
0.83
22.4%
2.94 E6
0.85
22.4%
6.58 E5
1.38 E6
48-19-1 I
48.0%
48.4%
47.6%
51.8%
50.42%
6.42 E5
49.4%
1.34 E6
49.3%
2.05 ELG
9.9%
2.04 E9
0.21
0.9%
1.78 E7
0.23
18.6%
3.31 E6
0.21
20.9%
6.91 E5
0.20
20.9%
1.44 E5
3.311 E5
43-1 8-1 1
79.576
79.7%
82.2%
84.5%
85.0%
8.55 E5
85.6%
1.81 E6
84.5%
4.74 ElG
9.956
4.70 E9
0.6255
i.3%
6.20 E7
0.83
19.8%
1.23 E7
0.77
22.6%
2.77 E6
0.81
22.6%
6.25 E5
1.31 E6
48-19-12
52.6%
53.1%
5 1 .4%
56.1%
54.9%
7.31 E5
53.9%
1.52 E6
53.7%
5.26 El0
9.9%
5.22 E9
0.53
1.4%
7.21
0.72
20.0%
1.45 E7
' 0.6.8
22.8%
3.30 E6
0.72
22.8%
7.54 E5
1.57 E6
48-19-1 2
47.4%
47.8%
46.25'0
50.8%
49.5%
7.06 E5
48.4%
1.46 E6
48.2%
2.01 E10
9.9%
1.99 E9
0.19
0.9%
1.74 E7
0.17
18.6%
3.23 E6
0.15
20.9%
6.76 E5
0.15
20.9%
1.41 E5
3.25 E5
43-18-11
79.9%
80.1%
82.6%
84.9%
85.4%
8.63 E5
85.9%
1.83 E6
84.9%
5.21 E10
9.9%
2.17 E9
0.52
1.4%
1.16 E7
0.42
20.1%
1.44 E7
0.68
22.9%
3.28 E6
0.72
22.9%
7.50 E5
1.56 E6
48-19-12
47.9%
48.4%
44.6%
51.54
50.4%
7.17 E5
48.9%
1.48 E6
48.8%
~~
5.75 E10
9.9%
5.71 EY
0.24
1.7%
9.60 E?
0.39
21.4%
2.06 E7
0.39
24.34
4.99 E6
0.44
24.2%
1.21 E6
2.44 E6
49-20-1 2
42.5%
42.9%
42.5%
46.8%
44.7%
9.1 E5
42.9%
1.85 E6
43.1%
2.01 E10
9.3%
1.99 E9
0.08
0.9%
1.74 E7
0.07
18.6%
3.23 E6
0.06
20.9%
6.76 E5
0.06
20.9%
1.41 E5
3.25 E5
43-18-1 1
79.9%
80.1%
82.6%
84.9%
85.4%
8.63 E5
85.9%
1.S3 E6
84.946
5.75 E10
9.9%
5.71 E9
0.24
1.7%
9.60 E7
0.39
21.4%
2.06 E7
0.39
24.3%
4.99 E6
0.44
24.2%
1.21 E6
2.44 E6
49-20-12
42.4%
43.0%
42.6%
46.8%
44.7%
9.16 E5
43.2%
1.85 E6
43.1%

I 1
3
4
r
6
7
8
9
IO
ll
; ' I
I-
13
14
15
16
i7
I8
19
52
64
56
68
70
7i
72.
73
74
9.67s IO
;1.9yc
9.60E9
2.47
6.9%
6.63E8
5.20
5.556
3.63E7
3.75
32.570
1.18E7
5.16
24.0%
2.84%
5.63E.6
50-20- I2
0.435
3.3%
4.0%
10.0%
7.4%
3.3%
1 .OE5
3.4%
1.9E5
3 3%
Level 1. AKX = C.5
9.67"0
9.9%
9.60k9
2.47
6 7%
6.39S8
5.26
5.7%
3.6457
3.74
32.4%
1.18E7
5.16
24.3%
2.b4Eb
5.63%
5c-20- I2
0.439
3.3%
4.2%
10.3%
7.5%
3.5%
9.7%4
3.3%
i 9E5
3 .I

...... . . .._...._. .................................................... __

1-8,
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
55.
56.
57.
58.
59.
60 e
61.
62.
63.
64.
65.
66.
67.
68.
S. I. Auerbach
S. R, Blrmm
R. W. Brocksen
S. We Christensen
C. C. Coutant
D. DeAngelis
A. H. Eraslan
W. Ful kerson
R. Gardner
R. V. O'Neill
H. Postma
D. E. Reichle
C. R. Richmond
97
21.
22.
23.
24.
25 B
26.
27.
28-47 *
48-49.
50.
51 -52.
53.
54.
EXTERNAL DISTRIBUTION
ORNL/ TM-5437
T. H. Row
R. M. Rush
B. W. Rust
R. D. Sharp
H. W. Shugart
E. G. Struxness
G. U. Ulrikson
W. Van Winkle
Central Research Library
Document Reference Section
Laboratory Records Department
La bora tory Records , ORNL-RC
ORNL Patent Office
R. L. Ballard, Division of Technical Review, U.S. Nuclear
Regulatory Commission, Washington, DC 20555
Y. M. Barber, National Marine Fisheries Service, 8505 Chapel
Drive, Annandale, VA 22003
G. Beckett, U.S. Dept. of Interior, Fish and Wildlife Service,
Boston, MA 02109
C. W. Billups, Environmental Specialists Branch, Directorate
of Licensing, U.S. Nuclear Regulatory Commission, Washington,
DC 20555
J. W, Blake, United Engineers & Constructors, Inc., 1401 Arch
St., Philadelphia, PA 79105
S. Bledsoe, College of Fisheries, University of Washington,
Seattle, WA 98101
J. G. Boreman, National Power Plant Team, U.S. Fish and Wil
Service, 1451 Green Rd., Ann Arbor!, MI 48107
D. L. Bunting, Dept. of Zoology, University of Tennessee,
Knoxville, TN 37916
P. Campbell Texas Instruments, Buchanan, NY 10511
T. Cannon, Ecological Analysts, Inc. , 600 Wyndhurst Ave.,
Baltimore, MD 21210
H. K. Chadwick, California Dept. of Fish and Game, 115 Gordova
La. , Stockton, CA 95204
S. Chassis, Natural Resources Defense Council, Inc., 15 West
44th St., New York City, NY 10036
J. R. C1 ark, The Conservation foundation, 171 7 Massachusetts
Ave., Washington, DC 20013
D. Col by, Atlantic Estuarine Fisheries Center, National Marine
Fisheries Service, Bau Beaufort, NC 28516

-<
0
-5
h
v
22
-e
Y
' Y -50
A
0
0
3
w
z
3
T
rf
V
TI
v)
CD
-5
5.
3
W
2.
8
5 0
X
2.
d

113.
114.
115.
116.
117.
118.
119.
120.
127 *
122.
123.
124.
125.
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127.
128,
129.
130.
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132.
133.
134.
135.
136.
137.
138.
99
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Michigan, Ann Arbor, MI 48106
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P. Merges, New York State Dept. of Environmental Conser-
vation, Albany, NW 12201
C. W. Mortimer, Director, Center for Great Lakes Studies,
The University of Wisconsin-Milwaukee, Milwaukee, WI 53203
D. R, Muller, Division of Reactor Licensing, U.S. Nuclear
Regulatory Commission, Washington, DC 20555
I. P. Murarkas Argonne National Laboratory, 9700 South Cass
Ave. Argonnes IL 60439
J. O’Connor, Institute of Environmental Medicine, New York
University, Sterling Forest, NY 10979
F. Ossiander, Northwest Fisheries Center, National Marine
Fi s heri es Service a Seattl e, WA 981 12
R. L, Patterson, Schaol of Natural Resources, University of
Michigan, Ann Arbor, MI 38104
T. T. Polgar, Ma%rl”n Marietta Labaratories, 1450 S. Rolling
Rd., Baltimore, MD 21227
E. M. Portner, The Johns Hopkins University, Applied Physics
Laboratory, 862% Georgia Ave., Silver Spring, MD 20910
E. C. Raney4 Ichthyological Associates, Middletown, DE 19709
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of Toronto, Toronto , Canada
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Kingston, RT 02881
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Stony Brook, Long Island, MY 11790
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Ave. Argonne, IL 60439
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Commission, 825 N. Capitol St., Washington, DC 20013
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Rhode Island, Kingston, RI 02881
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Trade Center, ew York, NY 10047
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Washington, Seattle, WA 98195
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Research, U.S. Energy Research and Development Administration,
Germantown, MI1 20767
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Knoxville, TN 37976
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Laboratory, Richland, WA 99352
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100
139. D. N. Wallace, Power Authority of the State of New York, 10
Columbus Circle, New Yark, NY 10019
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Albany, NY 12201
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MA 02543
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143-169. Technical Information Center
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