Density Dependent Population Growth

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24 Terms

1
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Why is density important?

Exponential growth until limited by resources

2
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How is exponential growth modelled?

B0, D0=Density independent per-capita birth and death rates

b, d=Density dependent per-capita birth and death rates

3
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Basic structure of population growth model: Discrete Time models (Exponential growth)

Nt+1=NtR

4
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Basic structure of population growth model: Discrete Time models (Generic Growth Function)

Nt+1=Ntf(Nt)

5
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Basic structure of population growth model: Discrete Time models (Per-capita growth term)

f(Nt)=R

6
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Basic structure of population growth model: Discrete Time models (Negative density dependence)

f(Nt)=er(1-Nt/K)

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Basic structure of population growth model: Continuous Time models (Exponential growth)

dN/dt=Nr

8
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Basic structure of population growth model: Continuous Time models (Generic growth function)

dN/dt=Nf(N)

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Basic structure of population growth model: Continuous Time models (Per-capita growth term)

f(N)=r

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Basic structure of population growth model: Continuous Time models (Negative density dependence)

f(N)=r(1-N/K)

11
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What is the term for feedback density dependence in negative density dependence equation?

1-Nt/K

12
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Role of state variable?

Express and record the “thing” that is modelled

13
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What does the mean filed model state?

One number

14
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What are parameters?

Biological elements we think affect the state variables of interest

15
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What is stability?

Population returning to a certain point after disturbance

16
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What is instability?

Cycles/Chaos

17
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How does discrete time dynamics get affected when there is a varying K?

Increases transient phase

-If K gets bigger=bigger transient phase

<p>Increases transient phase</p><p>-If K gets bigger=bigger transient phase</p>
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How does discrete time dynamics get affected when there is a varying initial conditions N1?

There will be either gradual increases or gradual decreases

-N1<K=gradual increase

-N1>K=gradual decrease

<p>There will be either gradual increases or gradual decreases</p><p>-N<sub>1</sub>&lt;K=gradual increase</p><p>-N<sub>1</sub>&gt;K=gradual decrease</p>
19
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How does discrete time dynamics get affected when intrinsic growth rate {r} increases?

Allows steady state to be reached faster, furthermore controls stability

<p>Allows steady state to be reached faster, furthermore controls stability</p>
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How does continuous time dynamics get affected when intrinsic growth rate {r} increases?

Approach steady state faster, and no change in steady state dynamics with r

<p>Approach steady state faster, and no change in steady state dynamics with r</p>
21
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How to plot a time series?

X-axis=Time

Y-axis=Population density

<p>X-axis=Time</p><p>Y-axis=Population density</p>
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How to plot a map?

X-axis=Current population density, N(t)

Y-axis=Future population density, N(t+1)

<p>X-axis=Current population density, N(t)</p><p>Y-axis=Future population density, N(t+1)</p>
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How to plot per-capita growth rate?

X-axis=Population density, N(t)

Y-axis=Per-capita growth rate

<p>X-axis=Population density, N(t)</p><p>Y-axis=Per-capita growth rate</p>
24
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What are the different bifurcation plots?

→Period doubling bifurcations (r=0.5→4)

→Stable equilibrium to 2-point cycle (r=1.9→2.1)

→2 to 4 point cycles (r=2.5→2.7)

→4 to 8 point cycles (r=2.5→2.7)

→8 to 16 point cycles (r=2.5→2.7)

<p>→Period doubling bifurcations (r=0.5→4)</p><p>→Stable equilibrium to 2-point cycle (r=1.9→2.1)</p><p>→2 to 4 point cycles (r=2.5→2.7)</p><p>→4 to 8 point cycles (r=2.5→2.7)</p><p>→8 to 16 point cycles (r=2.5→2.7)</p>