Cladocera model: controlled food supply

Miguel F. Acevedo

Cladocera Model with Controlled Food Supply

Running from WinSEEM

Run WinSEEM. Go to MODEL menu item;

Select the population- structured item

There are three options for time-continuous models:

Constant food supply
Variable food supply
Controlled food supply

All these versions relate to a Cladocera population growing in the lab and stressed by a toxic compound

see Acevedo et al. (1995) for model equations and parameters
see Acevedo and Waller (2000) for the controlled food supply

The model does the following stages: eggs, neonates, adults
Select a model; the Model Info window has summary information on each model

For Constant and Variable Food versions go to Env. Model. course notes

The default values for the parameters are as in Acevedo et al. 1995

For Controlled Food Supply proceed to next section

Controlled food supply version

Go to Model menu item; select the Population-structured item; select option for Continuous controlled food

Go to Parameter, select Open default param sheets,

browse through parameter sheet; the last 13 records correspond to the controlled case and have the following default contents for label, value, low, high and description

 con_set, 0.5, 0.00, 1.00, setpoint for consumption as fraction of max supply;
 con_unit, [unitless], none, none, food consumption setpoint is fraction of max supply;
 off_conset, 1.50, 0.00, 2.00, offset in con_set to test control;
 off_unit, [unitless], none, none, offset consumption units;
 harv_ss, 0.60, 0.00, 1.00, harvest coeff at ss food consumption;
 harv_allow, 0.90, 0.00, 1.00, maximum harvest coeff allowed;
 harv_unit, [1/day], none, none, harvest coeff units, rate per unit density;
 harv_der, 0.00, 0.00, 2.00, derivative control gain, unitless;
 harv_aprupt, 50.00, 0.00, 100.00, abruptness gain of nonlinear control;
 abrupt_unit, [unitless], none, none, gain sensitivity units;
 supl_prop, 10.000, 0.00, 100.00, supply coeff for prop control;
 supl_der, 0.000, 0.00, 100.00, supply coeff for derivative control;
 supl_unit, [(1/day)/(Mcell/ml)], none, none, supply units, rate per unit of food;

These default values produce a run with the nonlinear controller set at gain sensitivity hs=50
Go to Simulation, the Run, wait for simulation to finish
Digression on plots:

there are several options for plots, here are some brief pointers to the option Multi Variables vs Time
select Multi Variables vs Time, a small window will pop open,

click to check mark or select a variable for the plot
do as many as desired
press Ok to get a plot of several X vs t
note: If you plot variables with high values together with variables with very low values, most likely you will not see the one with low values because of the scale.

After run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 11 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 12 reported in Acevedo and Waller.

To execute the linear controller,
Go to Parameter, back at the parameter sheet, records 9,10 and 11 from the top are used to determine the control configuration:

 cont_mode, 1, 0, 1, switch for nonlinear (1) or linear (0) harvest control;
 restr_mode, 0, 0, 1, switch for unrestricted food and no harvest (1) or restricted and harvest (0);
 fixed_mode, 1, 0, 1, switch for controlled supply and harvest (1) or fixed supply at max and no harvest (0);

change cont_mode to 0 (in Value column) to execute a linear controller; at Parameter menu, press Udtate input for simulation; go to Simulation and Run; wait until is done
after run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 8 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 9 reported in Acevedo and Waller.

other runs can be produced by changing the parameter values accordingly

Output files with numeric results:

Note: the View Logs option under Simulation cannot handle this model ; you won't be able to view the Detailed Output log
To obtain the numeric output from these models
go to simulation, and go to "Save detailed output file", select folder and file name
this is a text file that can be opened in a text editor (e.g. the windows notepad) or imported to a spreadsheet
the output file contains 11 columns, corresponding to the time stamp and 10 variables:

column 1: time stamp
columns 2-4: values of the population in each stage (eggs, female neonates, female adults)
columns 5-7: food supply rate, food density (algae), and error or departure with respct to setpoint
columns 8-9: consumption: rate and error or departure from setpoint
columns 10-11: harvest: rate and net harvest

here is an example of the first few records including the header

 Number_of_runs:           1
 Number_of_states:          10
 Number_of_data:         501
 Title: Cladocera_Stage_Structure     
 Sub_title:  cla_sex_lab      
 Y_axis_title:  Density_or_rate               
 Time__[days]   Eggs      Fem_neon  Fem_adult Supply    Algae     Food_Err  Consump   Cons_Err  Harv_rate Harvest   
 run number=  1:    none      = .0000E+00
        .00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .20    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .30    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .40    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .50    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .60    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .70    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .80    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .90    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00

For more information you are welcome to contact me by email acevedo@unt.edu

Cladocera model: controlled food supply

Miguel F. Acevedo

Cladocera Model with Controlled Food Supply

Running from WinSEEM

Run WinSEEM. Go to MODEL menu item;

Select the population- structured item

There are three options for time-continuous models:

Constant food supply
Variable food supply
Controlled food supply

All these versions relate to a Cladocera population growing in the lab and stressed by a toxic compound

see Acevedo et al. (1995) for model equations and parameters
see Acevedo and Waller (2000) for the controlled food supply

The model does the following stages: eggs, neonates, adults
Select a model; the Model Info window has summary information on each model

For Constant and Variable Food versions go to Env. Model. course notes

The default values for the parameters are as in Acevedo et al. 1995

For Controlled Food Supply proceed to next section

Controlled food supply version

Go to Model menu item; select the Population-structured item; select option for Continuous controlled food

Go to Parameter, select Open default param sheets,

browse through parameter sheet; the last 13 records correspond to the controlled case and have the following default contents for label, value, low, high and description

 con_set, 0.5, 0.00, 1.00, setpoint for consumption as fraction of max supply;
 con_unit, [unitless], none, none, food consumption setpoint is fraction of max supply;
 off_conset, 1.50, 0.00, 2.00, offset in con_set to test control;
 off_unit, [unitless], none, none, offset consumption units;
 harv_ss, 0.60, 0.00, 1.00, harvest coeff at ss food consumption;
 harv_allow, 0.90, 0.00, 1.00, maximum harvest coeff allowed;
 harv_unit, [1/day], none, none, harvest coeff units, rate per unit density;
 harv_der, 0.00, 0.00, 2.00, derivative control gain, unitless;
 harv_aprupt, 50.00, 0.00, 100.00, abruptness gain of nonlinear control;
 abrupt_unit, [unitless], none, none, gain sensitivity units;
 supl_prop, 10.000, 0.00, 100.00, supply coeff for prop control;
 supl_der, 0.000, 0.00, 100.00, supply coeff for derivative control;
 supl_unit, [(1/day)/(Mcell/ml)], none, none, supply units, rate per unit of food;

These default values produce a run with the nonlinear controller set at gain sensitivity hs=50
Go to Simulation, the Run, wait for simulation to finish
Digression on plots:

there are several options for plots, here are some brief pointers to the option Multi Variables vs Time
select Multi Variables vs Time, a small window will pop open,

click to check mark or select a variable for the plot
do as many as desired
press Ok to get a plot of several X vs t
note: If you plot variables with high values together with variables with very low values, most likely you will not see the one with low values because of the scale.

After run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 11 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 12 reported in Acevedo and Waller.

To execute the linear controller,
Go to Parameter, back at the parameter sheet, records 9,10 and 11 from the top are used to determine the control configuration:

 cont_mode, 1, 0, 1, switch for nonlinear (1) or linear (0) harvest control;
 restr_mode, 0, 0, 1, switch for unrestricted food and no harvest (1) or restricted and harvest (0);
 fixed_mode, 1, 0, 1, switch for controlled supply and harvest (1) or fixed supply at max and no harvest (0);

change cont_mode to 0 (in Value column) to execute a linear controller; at Parameter menu, press Udtate input for simulation; go to Simulation and Run; wait until is done
after run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 8 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 9 reported in Acevedo and Waller.

other runs can be produced by changing the parameter values accordingly

Output files with numeric results:

Note: the View Logs option under Simulation cannot handle this model ; you won't be able to view the Detailed Output log
To obtain the numeric output from these models
go to simulation, and go to "Save detailed output file", select folder and file name
this is a text file that can be opened in a text editor (e.g. the windows notepad) or imported to a spreadsheet
the output file contains 11 columns, corresponding to the time stamp and 10 variables:

column 1: time stamp
columns 2-4: values of the population in each stage (eggs, female neonates, female adults)
columns 5-7: food supply rate, food density (algae), and error or departure with respct to setpoint
columns 8-9: consumption: rate and error or departure from setpoint
columns 10-11: harvest: rate and net harvest

here is an example of the first few records including the header

 Number_of_runs:           1
 Number_of_states:          10
 Number_of_data:         501
 Title: Cladocera_Stage_Structure     
 Sub_title:  cla_sex_lab      
 Y_axis_title:  Density_or_rate               
 Time__[days]   Eggs      Fem_neon  Fem_adult Supply    Algae     Food_Err  Consump   Cons_Err  Harv_rate Harvest   
 run number=  1:    none      = .0000E+00
        .00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .20    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .30    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .40    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .50    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .60    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .70    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .80    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .90    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00

For more information you are welcome to contact me by email acevedo@unt.edu

.000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00 .10 .000E+00 .000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00 .20 .000E+00 .000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00 .30 .000E+00 .000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00 .40 .000E+00 .000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00 .50 .000E+00 .000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00 .60 .000E+00 .000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00 .70 .000E+00 .000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00 .80 .000E+00 .000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00 .90 .000E+00 .000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00 1.00 .000E+00 .000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00 1.10 .000E+00 .000E+00 .000E+00 .000E+00 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00

For more information you are welcome to contact me by email acevedo@unt.edu

Cladocera model: controlled food supply

Miguel F. Acevedo

Cladocera Model with Controlled Food Supply

Running from WinSEEM

Run WinSEEM. Go to MODEL menu item;

Select the population- structured item

There are three options for time-continuous models:

Constant food supply
Variable food supply
Controlled food supply

All these versions relate to a Cladocera population growing in the lab and stressed by a toxic compound

see Acevedo et al. (1995) for model equations and parameters
see Acevedo and Waller (2000) for the controlled food supply

The model does the following stages: eggs, neonates, adults
Select a model; the Model Info window has summary information on each model

For Constant and Variable Food versions go to Env. Model. course notes

The default values for the parameters are as in Acevedo et al. 1995

For Controlled Food Supply proceed to next section

Controlled food supply version

Go to Model menu item; select the Population-structured item; select option for Continuous controlled food

Go to Parameter, select Open default param sheets,

browse through parameter sheet; the last 13 records correspond to the controlled case and have the following default contents for label, value, low, high and description

 con_set, 0.5, 0.00, 1.00, setpoint for consumption as fraction of max supply;
 con_unit, [unitless], none, none, food consumption setpoint is fraction of max supply;
 off_conset, 1.50, 0.00, 2.00, offset in con_set to test control;
 off_unit, [unitless], none, none, offset consumption units;
 harv_ss, 0.60, 0.00, 1.00, harvest coeff at ss food consumption;
 harv_allow, 0.90, 0.00, 1.00, maximum harvest coeff allowed;
 harv_unit, [1/day], none, none, harvest coeff units, rate per unit density;
 harv_der, 0.00, 0.00, 2.00, derivative control gain, unitless;
 harv_aprupt, 50.00, 0.00, 100.00, abruptness gain of nonlinear control;
 abrupt_unit, [unitless], none, none, gain sensitivity units;
 supl_prop, 10.000, 0.00, 100.00, supply coeff for prop control;
 supl_der, 0.000, 0.00, 100.00, supply coeff for derivative control;
 supl_unit, [(1/day)/(Mcell/ml)], none, none, supply units, rate per unit of food;

These default values produce a run with the nonlinear controller set at gain sensitivity hs=50
Go to Simulation, the Run, wait for simulation to finish
Digression on plots:

there are several options for plots, here are some brief pointers to the option Multi Variables vs Time
select Multi Variables vs Time, a small window will pop open,

click to check mark or select a variable for the plot
do as many as desired
press Ok to get a plot of several X vs t
note: If you plot variables with high values together with variables with very low values, most likely you will not see the one with low values because of the scale.

After run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 11 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 12 reported in Acevedo and Waller.

To execute the linear controller,
Go to Parameter, back at the parameter sheet, records 9,10 and 11 from the top are used to determine the control configuration:

 cont_mode, 1, 0, 1, switch for nonlinear (1) or linear (0) harvest control;
 restr_mode, 0, 0, 1, switch for unrestricted food and no harvest (1) or restricted and harvest (0);
 fixed_mode, 1, 0, 1, switch for controlled supply and harvest (1) or fixed supply at max and no harvest (0);

change cont_mode to 0 (in Value column) to execute a linear controller; at Parameter menu, press Udtate input for simulation; go to Simulation and Run; wait until is done
after run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 8 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 9 reported in Acevedo and Waller.

other runs can be produced by changing the parameter values accordingly

Output files with numeric results:

Note: the View Logs option under Simulation cannot handle this model ; you won't be able to view the Detailed Output log
To obtain the numeric output from these models
go to simulation, and go to "Save detailed output file", select folder and file name
this is a text file that can be opened in a text editor (e.g. the windows notepad) or imported to a spreadsheet
the output file contains 11 columns, corresponding to the time stamp and 10 variables:

column 1: time stamp
columns 2-4: values of the population in each stage (eggs, female neonates, female adults)
columns 5-7: food supply rate, food density (algae), and error or departure with respct to setpoint
columns 8-9: consumption: rate and error or departure from setpoint
columns 10-11: harvest: rate and net harvest

here is an example of the first few records including the header

 Number_of_runs:           1
 Number_of_states:          10
 Number_of_data:         501
 Title: Cladocera_Stage_Structure     
 Sub_title:  cla_sex_lab      
 Y_axis_title:  Density_or_rate               
 Time__[days]   Eggs      Fem_neon  Fem_adult Supply    Algae     Food_Err  Consump   Cons_Err  Harv_rate Harvest   
 run number=  1:    none      = .0000E+00
        .00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .20    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .30    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .40    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .50    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .60    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .70    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .80    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .90    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00

For more information you are welcome to contact me by email acevedo@unt.edu

Cladocera model: controlled food supply

Miguel F. Acevedo

Cladocera Model with Controlled Food Supply

Running from WinSEEM

Run WinSEEM. Go to MODEL menu item;

Select the population- structured item

There are three options for time-continuous models:

Constant food supply
Variable food supply
Controlled food supply

All these versions relate to a Cladocera population growing in the lab and stressed by a toxic compound

see Acevedo et al. (1995) for model equations and parameters
see Acevedo and Waller (2000) for the controlled food supply

The model does the following stages: eggs, neonates, adults
Select a model; the Model Info window has summary information on each model

For Constant and Variable Food versions go to Env. Model. course notes

The default values for the parameters are as in Acevedo et al. 1995

For Controlled Food Supply proceed to next section

Controlled food supply version

Go to Model menu item; select the Population-structured item; select option for Continuous controlled food

Go to Parameter, select Open default param sheets,

browse through parameter sheet; the last 13 records correspond to the controlled case and have the following default contents for label, value, low, high and description

 con_set, 0.5, 0.00, 1.00, setpoint for consumption as fraction of max supply;
 con_unit, [unitless], none, none, food consumption setpoint is fraction of max supply;
 off_conset, 1.50, 0.00, 2.00, offset in con_set to test control;
 off_unit, [unitless], none, none, offset consumption units;
 harv_ss, 0.60, 0.00, 1.00, harvest coeff at ss food consumption;
 harv_allow, 0.90, 0.00, 1.00, maximum harvest coeff allowed;
 harv_unit, [1/day], none, none, harvest coeff units, rate per unit density;
 harv_der, 0.00, 0.00, 2.00, derivative control gain, unitless;
 harv_aprupt, 50.00, 0.00, 100.00, abruptness gain of nonlinear control;
 abrupt_unit, [unitless], none, none, gain sensitivity units;
 supl_prop, 10.000, 0.00, 100.00, supply coeff for prop control;
 supl_der, 0.000, 0.00, 100.00, supply coeff for derivative control;
 supl_unit, [(1/day)/(Mcell/ml)], none, none, supply units, rate per unit of food;

These default values produce a run with the nonlinear controller set at gain sensitivity hs=50
Go to Simulation, the Run, wait for simulation to finish
Digression on plots:

there are several options for plots, here are some brief pointers to the option Multi Variables vs Time
select Multi Variables vs Time, a small window will pop open,

click to check mark or select a variable for the plot
do as many as desired
press Ok to get a plot of several X vs t
note: If you plot variables with high values together with variables with very low values, most likely you will not see the one with low values because of the scale.

After run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 11 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 12 reported in Acevedo and Waller.

To execute the linear controller,
Go to Parameter, back at the parameter sheet, records 9,10 and 11 from the top are used to determine the control configuration:

 cont_mode, 1, 0, 1, switch for nonlinear (1) or linear (0) harvest control;
 restr_mode, 0, 0, 1, switch for unrestricted food and no harvest (1) or restricted and harvest (0);
 fixed_mode, 1, 0, 1, switch for controlled supply and harvest (1) or fixed supply at max and no harvest (0);

change cont_mode to 0 (in Value column) to execute a linear controller; at Parameter menu, press Udtate input for simulation; go to Simulation and Run; wait until is done
after run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 8 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 9 reported in Acevedo and Waller.

other runs can be produced by changing the parameter values accordingly

Output files with numeric results:

Note: the View Logs option under Simulation cannot handle this model ; you won't be able to view the Detailed Output log
To obtain the numeric output from these models
go to simulation, and go to "Save detailed output file", select folder and file name
this is a text file that can be opened in a text editor (e.g. the windows notepad) or imported to a spreadsheet
the output file contains 11 columns, corresponding to the time stamp and 10 variables:

column 1: time stamp
columns 2-4: values of the population in each stage (eggs, female neonates, female adults)
columns 5-7: food supply rate, food density (algae), and error or departure with respct to setpoint
columns 8-9: consumption: rate and error or departure from setpoint
columns 10-11: harvest: rate and net harvest

here is an example of the first few records including the header

 Number_of_runs:           1
 Number_of_states:          10
 Number_of_data:         501
 Title: Cladocera_Stage_Structure     
 Sub_title:  cla_sex_lab      
 Y_axis_title:  Density_or_rate               
 Time__[days]   Eggs      Fem_neon  Fem_adult Supply    Algae     Food_Err  Consump   Cons_Err  Harv_rate Harvest   
 run number=  1:    none      = .0000E+00
        .00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .20    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .30    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .40    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .50    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .60    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .70    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .80    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .90    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00

For more information you are welcome to contact me by email acevedo@unt.edu

Cladocera model: controlled food supply

Miguel F. Acevedo

Cladocera Model with Controlled Food Supply

Running from WinSEEM

Run WinSEEM. Go to MODEL menu item;

Select the population- structured item

There are three options for time-continuous models:

Constant food supply
Variable food supply
Controlled food supply

All these versions relate to a Cladocera population growing in the lab and stressed by a toxic compound

see Acevedo et al. (1995) for model equations and parameters
see Acevedo and Waller (2000) for the controlled food supply

The model does the following stages: eggs, neonates, adults
Select a model; the Model Info window has summary information on each model

For Constant and Variable Food versions go to Env. Model. course notes

The default values for the parameters are as in Acevedo et al. 1995

For Controlled Food Supply proceed to next section

Controlled food supply version

Go to Model menu item; select the Population-structured item; select option for Continuous controlled food

Go to Parameter, select Open default param sheets,

browse through parameter sheet; the last 13 records correspond to the controlled case and have the following default contents for label, value, low, high and description

 con_set, 0.5, 0.00, 1.00, setpoint for consumption as fraction of max supply;
 con_unit, [unitless], none, none, food consumption setpoint is fraction of max supply;
 off_conset, 1.50, 0.00, 2.00, offset in con_set to test control;
 off_unit, [unitless], none, none, offset consumption units;
 harv_ss, 0.60, 0.00, 1.00, harvest coeff at ss food consumption;
 harv_allow, 0.90, 0.00, 1.00, maximum harvest coeff allowed;
 harv_unit, [1/day], none, none, harvest coeff units, rate per unit density;
 harv_der, 0.00, 0.00, 2.00, derivative control gain, unitless;
 harv_aprupt, 50.00, 0.00, 100.00, abruptness gain of nonlinear control;
 abrupt_unit, [unitless], none, none, gain sensitivity units;
 supl_prop, 10.000, 0.00, 100.00, supply coeff for prop control;
 supl_der, 0.000, 0.00, 100.00, supply coeff for derivative control;
 supl_unit, [(1/day)/(Mcell/ml)], none, none, supply units, rate per unit of food;

These default values produce a run with the nonlinear controller set at gain sensitivity hs=50
Go to Simulation, the Run, wait for simulation to finish
Digression on plots:

there are several options for plots, here are some brief pointers to the option Multi Variables vs Time
select Multi Variables vs Time, a small window will pop open,

click to check mark or select a variable for the plot
do as many as desired
press Ok to get a plot of several X vs t
note: If you plot variables with high values together with variables with very low values, most likely you will not see the one with low values because of the scale.

After run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 11 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 12 reported in Acevedo and Waller.

To execute the linear controller,
Go to Parameter, back at the parameter sheet, records 9,10 and 11 from the top are used to determine the control configuration:

 cont_mode, 1, 0, 1, switch for nonlinear (1) or linear (0) harvest control;
 restr_mode, 0, 0, 1, switch for unrestricted food and no harvest (1) or restricted and harvest (0);
 fixed_mode, 1, 0, 1, switch for controlled supply and harvest (1) or fixed supply at max and no harvest (0);

change cont_mode to 0 (in Value column) to execute a linear controller; at Parameter menu, press Udtate input for simulation; go to Simulation and Run; wait until is done
after run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 8 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 9 reported in Acevedo and Waller.

other runs can be produced by changing the parameter values accordingly

Output files with numeric results:

Note: the View Logs option under Simulation cannot handle this model ; you won't be able to view the Detailed Output log
To obtain the numeric output from these models
go to simulation, and go to "Save detailed output file", select folder and file name
this is a text file that can be opened in a text editor (e.g. the windows notepad) or imported to a spreadsheet
the output file contains 11 columns, corresponding to the time stamp and 10 variables:

column 1: time stamp
columns 2-4: values of the population in each stage (eggs, female neonates, female adults)
columns 5-7: food supply rate, food density (algae), and error or departure with respct to setpoint
columns 8-9: consumption: rate and error or departure from setpoint
columns 10-11: harvest: rate and net harvest

here is an example of the first few records including the header

 Number_of_runs:           1
 Number_of_states:          10
 Number_of_data:         501
 Title: Cladocera_Stage_Structure     
 Sub_title:  cla_sex_lab      
 Y_axis_title:  Density_or_rate               
 Time__[days]   Eggs      Fem_neon  Fem_adult Supply    Algae     Food_Err  Consump   Cons_Err  Harv_rate Harvest   
 run number=  1:    none      = .0000E+00
        .00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .20    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .30    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .40    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .50    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .60    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .70    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .80    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .90    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00

For more information you are welcome to contact me by email acevedo@unt.edu

Cladocera model: controlled food supply

Miguel F. Acevedo

Cladocera Model with Controlled Food Supply

Running from WinSEEM

Run WinSEEM. Go to MODEL menu item;

Select the population- structured item

There are three options for time-continuous models:

Constant food supply
Variable food supply
Controlled food supply

All these versions relate to a Cladocera population growing in the lab and stressed by a toxic compound

see Acevedo et al. (1995) for model equations and parameters
see Acevedo and Waller (2000) for the controlled food supply

The model does the following stages: eggs, neonates, adults
Select a model; the Model Info window has summary information on each model

For Constant and Variable Food versions go to Env. Model. course notes

The default values for the parameters are as in Acevedo et al. 1995

For Controlled Food Supply proceed to next section

Controlled food supply version

Go to Model menu item; select the Population-structured item; select option for Continuous controlled food

Go to Parameter, select Open default param sheets,

browse through parameter sheet; the last 13 records correspond to the controlled case and have the following default contents for label, value, low, high and description

 con_set, 0.5, 0.00, 1.00, setpoint for consumption as fraction of max supply;
 con_unit, [unitless], none, none, food consumption setpoint is fraction of max supply;
 off_conset, 1.50, 0.00, 2.00, offset in con_set to test control;
 off_unit, [unitless], none, none, offset consumption units;
 harv_ss, 0.60, 0.00, 1.00, harvest coeff at ss food consumption;
 harv_allow, 0.90, 0.00, 1.00, maximum harvest coeff allowed;
 harv_unit, [1/day], none, none, harvest coeff units, rate per unit density;
 harv_der, 0.00, 0.00, 2.00, derivative control gain, unitless;
 harv_aprupt, 50.00, 0.00, 100.00, abruptness gain of nonlinear control;
 abrupt_unit, [unitless], none, none, gain sensitivity units;
 supl_prop, 10.000, 0.00, 100.00, supply coeff for prop control;
 supl_der, 0.000, 0.00, 100.00, supply coeff for derivative control;
 supl_unit, [(1/day)/(Mcell/ml)], none, none, supply units, rate per unit of food;

These default values produce a run with the nonlinear controller set at gain sensitivity hs=50
Go to Simulation, the Run, wait for simulation to finish
Digression on plots:

there are several options for plots, here are some brief pointers to the option Multi Variables vs Time
select Multi Variables vs Time, a small window will pop open,

click to check mark or select a variable for the plot
do as many as desired
press Ok to get a plot of several X vs t
note: If you plot variables with high values together with variables with very low values, most likely you will not see the one with low values because of the scale.

After run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 11 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 12 reported in Acevedo and Waller.

To execute the linear controller,
Go to Parameter, back at the parameter sheet, records 9,10 and 11 from the top are used to determine the control configuration:

 cont_mode, 1, 0, 1, switch for nonlinear (1) or linear (0) harvest control;
 restr_mode, 0, 0, 1, switch for unrestricted food and no harvest (1) or restricted and harvest (0);
 fixed_mode, 1, 0, 1, switch for controlled supply and harvest (1) or fixed supply at max and no harvest (0);

change cont_mode to 0 (in Value column) to execute a linear controller; at Parameter menu, press Udtate input for simulation; go to Simulation and Run; wait until is done
after run is finished, from Simulation select Plot Multi-Variables vs time

select consump and harvest, press Ok; this will produce graph similar to Figure 8 reported in Acevedo and Waller.
from Simulation select Plot Multi-Variables vs time, select Fem neonates and fem adults, press Ok; this will produce graph similar to Figure 9 reported in Acevedo and Waller.

other runs can be produced by changing the parameter values accordingly

Output files with numeric results:

Note: the View Logs option under Simulation cannot handle this model ; you won't be able to view the Detailed Output log
To obtain the numeric output from these models
go to simulation, and go to "Save detailed output file", select folder and file name
this is a text file that can be opened in a text editor (e.g. the windows notepad) or imported to a spreadsheet
the output file contains 11 columns, corresponding to the time stamp and 10 variables:

column 1: time stamp
columns 2-4: values of the population in each stage (eggs, female neonates, female adults)
columns 5-7: food supply rate, food density (algae), and error or departure with respct to setpoint
columns 8-9: consumption: rate and error or departure from setpoint
columns 10-11: harvest: rate and net harvest

here is an example of the first few records including the header

 Number_of_runs:           1
 Number_of_states:          10
 Number_of_data:         501
 Title: Cladocera_Stage_Structure     
 Sub_title:  cla_sex_lab      
 Y_axis_title:  Density_or_rate               
 Time__[days]   Eggs      Fem_neon  Fem_adult Supply    Algae     Food_Err  Consump   Cons_Err  Harv_rate Harvest   
 run number=  1:    none      = .0000E+00
        .00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .20    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .30    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .40    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .50    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .60    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .70    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .80    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
        .90    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.00    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00
       1.10    .000E+00  .000E+00  .000E+00  .000E+00  .200E-03  .200E+00  .000E+00  .500E+01  .000E+00  .000E+00

For more information you are welcome to contact me by email acevedo@unt.edu

0 .200E-03 .200E+00 .000E+00 .500E+01 .000E+00 .000E+00

For more information you are welcome to contact me by email acevedo@unt.edu