Exponential growth cant last forever 70000 60000 = = = t - - PowerPoint PPT Presentation

exponential growth can t last forever
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Exponential growth cant last forever 70000 60000 = = = t - - PowerPoint PPT Presentation

Exponential growth cant last forever 70000 60000 = = = t N N 2 , N 4 t 0 0 50000 40000 N t 30000 20000 10000 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Tempo Regulation factors N t Negative feedback


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SLIDE 1

Exponential growth can’t last forever

10000 20000 30000 40000 50000 60000 70000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

Tempo

Nt

4 , 2 = = = N N N

t t

λ λ

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SLIDE 2

Regulation factors

λ

Growth rate (birth rate, survival) Density independent

Nt

Density dependent Negative feedback

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SLIDE 3

Mechanisms that may induce density dependent regulation

Limited food resources:

– Less consumption per capita, longer time periods searching for prey, with longer exposition to predators (affects S and b)

Less space:

  • Smaller average territory or greater number of individuals without

territory

Greater predator and/or parasite pressure:

  • Predators “shift” to denser prey populations; greater incidence of

infectious diseases.

Greater use of marginal habitats of lesser quality

  • etc. etc...
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SLIDE 4

Exponential growth: constant b and d

t r t

e N N =

constants d b r − =

b0 d0 N time N0

growth l exponentia ⇒ > ⇒ > r d b

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SLIDE 5

Density dependent regulation

b0 d0 ) (N f d = ) (N f b = N

increase d b ⇒ >

decrease d b ⇒ <

Equilibrium, N = K

N=K

Stable equilibrium

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SLIDE 6

Carrying Capacity, K

Carrying capacity ≈ Population density which is sustained by the resources available

10 20 30

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

tempo N

K

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SLIDE 7

How to model density-dependence

  • 1. State the mechanisms of density dependence explicitly

Example: what are the mechanisms of intra-specific competition ?

  • 2. Assume simple analytical functions for b=f(N) and d=f(N)

Etc.

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SLIDE 8

Continuous breeding

b0 d0

d b r − =

r Substituting in

( ) ( ) ( ) [ ] ( ) ( ) [ ]

t t t t t t t t

N N q p d b dt dN N qN d pN b dt dN N d b dt dN + − − = + − − = − =

we get

t t t t

pN b b qN d d − = + =

N

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SLIDE 9

Introducing K

N K

At K, dN/dt = 0

when does

? = dt dN

( )

[ ]

t t N

N q p r dt dN + − =

Nt = 0 Trivial equilibrium q p r Nt + = Non-trivial equilibrium K itself

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SLIDE 10

The logistic equation of continuos breeders (Verhulst, 1838)

K r q p q p r K = + ∴ + =

( ) [ ]

t t N

N q p r dt dN + − =

Substituting here

      − = K N rN dt dN 1

Unregulated growth Regulating factor

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SLIDE 11

Growth per capita

      − = K N rN dt dN 1

Contribution of 1 individual for population growth

N K r r dt dN N − = 1

dt dN N 1

r

K r −

N

slope =

K Contrib. per capita

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SLIDE 12

Solution of the logistic equation

      − = K N rN dt dN 1

4 8 12 16

1 21 41 61 81 101 121 141

Tempo

N

K r=0.7 r=1 r=1.2

( )

t r t

e N K N KN N

− + =

Solution:

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SLIDE 13

Há populações com crescimento exactamente logístico ?