Insight diagram
This simulation shows how plant, deer and wolf populations impact each other in a deciduous forest ecosystem.
Plant, Deer and Wolf Population Dynamics
Insight diagram
Basic BIDE equation
Insight diagram
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)
Prisoner's dilemma with replicator equation
Insight diagram
RabbitExploration
Insight diagram
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.
Logistic Growth: One and Two Stocks
Insight diagram
This simulation shows how plant, deer and wolf populations impact each other in a deciduous forest ecosystem.
Plant, Deer and Wolf Population Dynamics - ISD OWL
Insight diagram
Wolf and Deer population interaction geog 166
Wolves & Deer
Insight diagram
First order negative feedback
Insight diagram
This simulation shows how plant, deer and wolf populations impact each other in a deciduous forest ecosystem.
Out 2025 - 4. Plantas, Cervo e Lobo - modelo da internet
10 4 months ago
Insight diagram
This simulation shows how plant, deer and wolf populations impact each other in a deciduous forest ecosystem.
Out 2025 - 3. Cervo e Lobo - Presa Predador - modelo da internet
14 4 months ago
Insight diagram
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)
Eastern oyster population model Long Island Sound
Insight diagram
Project wildlife populations (2)
Insight diagram
with the carrying capacity instead of mortality rate.
K = Carrying capacity (g m-2)
Project wildlife populations (5)
Insight diagram
keep on from here
http://www.suryatech.com/pages/wildlifemanagement-2.pdf
Modified Lotka–Volterra model (plants, preys, predators)
Insight diagram
Project wildlife populations
Insight diagram
Project wildlife populations (4)
Insight diagram
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)
Clone of Prisoner's dilemma with replicator equation
Insight diagram
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)
Clone of Eastern oyster population model Long Island Sound
Insight diagram
Matching pennies with replicator equation
Insight diagram
This simulation shows how plant, deer and wolf populations impact each other in a deciduous forest ecosystem.
CURSO MAR 25 - Grama, Cervo e Lobo - Presa Predador - modelo da internet
24 9 months ago
Insight diagram
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)
REServ Eastern oyster ecology and economics Long Island Sound
Insight diagram
This simulation shows how plant, deer and wolf populations impact each other in a deciduous forest ecosystem.
Plant, Deer and Wolf Population Dynamics G-IV Intro
Insight diagram
This simulation shows how algae, tadpole and dragonfly populations impact each other in a pond ecosystem.
Algae, Tadpole and Dragonfly Population Dynamics
Insight diagram
Project wildlife populations (3) shared