#### Plant, Deer and Wolf Population Dynamics

##### leah c

This simulation shows how plant, deer and wolf populations impact each other in a deciduous forest ecosystem.

- 3 years 5 months ago

#### Plant, Deer and Wolf Population Dynamics - ISD OWL

##### Kevin Collins

This simulation shows how plant, deer and wolf populations impact each other in a deciduous forest ecosystem.

- 2 years 2 months ago

#### Lotka-Volterra

##### Essi

- 2 months 3 weeks ago

#### Basic BIDE equation

##### Kevin T Shoemaker

- 2 years 8 months ago

#### Plant, Deer and Wolf Population Dynamics G-IV Intro

##### Kevin Collins

This simulation shows how plant, deer and wolf populations impact each other in a deciduous forest ecosystem.

- 2 years 6 months ago

#### Prisoner's dilemma with replicator equation

##### Nils Hermes

Small replicator equation setup (2d) with prisoner's dilemma payoff matrix (can be adjusted): (dx/dt)_i = x_i*((A*x)_i-x^T*A*x)

- 3 years 10 months ago

#### Eastern oyster population model Long Island Sound

##### Joao G. Ferreira ★

Eastern oyster growth model calibrated for Long Island Sound

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

- 6 years 6 months ago

#### IDREEM example oyster population model

##### Joao G. Ferreira ★

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

- 4 years 9 months ago

#### REServ Eastern oyster ecology and economics Long Island Sound

##### Joao G. Ferreira ★

Eastern oyster growth model calibrated for Long Island Sound

Developed and implemented by Joao G. Ferreira and Camille Saurel; growth data from Eva Galimany, Gary Wickfors, and Julie Rose; driver data from Julie Rose and Suzanne Bricker; Culture practice from the REServ team and Tessa Getchis. This model is a workbench for combining ecological and economic components for REServ. Economic component added by Trina Wellman.

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

Developed and implemented by Joao G. Ferreira and Camille Saurel; growth data from Eva Galimany, Gary Wickfors, and Julie Rose; driver data from Julie Rose and Suzanne Bricker; Culture practice from the REServ team and Tessa Getchis. This model is a workbench for combining ecological and economic components for REServ. Economic component added by Trina Wellman.

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

- 6 years 6 months ago

#### Population classes

##### Joao G. Ferreira ★

Simple model illustrating the population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

- 6 years 7 months ago

#### First order negative feedback

##### Luc Boerboom

- 1 year 3 weeks ago

#### Lynx and Hare

##### Muscoe Martin

lynx and hare geog 166

- 1 year 6 months ago

#### Algae, Tadpole and Dragonfly Population Dynamics

##### Laryssa Faith Laurignano

This simulation shows how algae, tadpole and dragonfly populations impact each other in a pond ecosystem.

- 2 years 11 months ago

#### Logistic Growth: One and Two Stocks

##### Theodore Pavlic

This is a demonstration of how logistic growth can be modeled with either one or two stocks. However, the two-stock case shows how the implementation of the carrying capacity is somehow less arbitrary than in the one-stock case.

- 2 years 11 months ago

#### REServ Eastern oyster Great Bay

##### Joao G. Ferreira ★

Eastern oyster growth model calibrated for Great Bay.

Developed and implemented by Joao G. Ferreira and Camille Saurel; growth data, driver data, and culture practice from Phil Trowbridge, Ray Grizzle, and Suzanne Bricker.

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Great Bay growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

Developed and implemented by Joao G. Ferreira and Camille Saurel; growth data, driver data, and culture practice from Phil Trowbridge, Ray Grizzle, and Suzanne Bricker.

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Great Bay growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

- 6 years 6 months ago

#### REServ Eastern oyster Long Island Sound

##### Joao G. Ferreira ★

Eastern oyster growth model calibrated for Long Island Sound

Developed and implemented by Joao G. Ferreira and Camille Saurel; growth data from Eva Galimany, Gary Wickfors, and Julie Rose; driver data from Julie Rose and Suzanne Bricker; Culture practice from the REServ team and Tessa Getchis.

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

Developed and implemented by Joao G. Ferreira and Camille Saurel; growth data from Eva Galimany, Gary Wickfors, and Julie Rose; driver data from Julie Rose and Suzanne Bricker; Culture practice from the REServ team and Tessa Getchis.

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

- 6 years 6 months ago

#### RabbitExploration

##### Richard Gould

- 5 years 1 month ago

#### Wolves & Deer

##### Muscoe Martin

Wolf and Deer population interaction geog 166

- 1 year 6 months ago

#### Guam Invasive Snake population dynamics

##### Erika Philby

- 8 months 1 week ago

#### Clone of REServ Eastern oyster ecology and economics Long Island Sound

##### Team Key-Log

Eastern oyster growth model calibrated for Long Island Sound

Developed and implemented by Joao G. Ferreira and Camille Saurel; growth data from Eva Galimany, Gary Wickfors, and Julie Rose; driver data from Julie Rose and Suzanne Bricker; Culture practice from the REServ team and Tessa Getchis. This model is a workbench for combining ecological and economic components for REServ. Economic component added by Trina Wellman.

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

Developed and implemented by Joao G. Ferreira and Camille Saurel; growth data from Eva Galimany, Gary Wickfors, and Julie Rose; driver data from Julie Rose and Suzanne Bricker; Culture practice from the REServ team and Tessa Getchis. This model is a workbench for combining ecological and economic components for REServ. Economic component added by Trina Wellman.

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)

3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)

- 1 year 11 months ago

#### Project wildlife populations (3) shared

##### Elsa Boogaard

- 2 weeks 3 days ago

#### Clone of Population classes

##### Alhambra

Simple model illustrating the population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

- 5 years 6 months ago

#### Project wildlife populations

##### Elsa Boogaard

- 2 weeks 3 days ago

#### Clone of Population classes

##### Alhambra

Simple model illustrating the population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)

t: Time

n: Number of individuals of weight s

g: Scope for growth (g day-1)

u: Mortality rate (day-1)

- 3 years 2 months ago