Populations Population growth Nt + 1 = Nt + B – D + I – E.

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Transcript of Populations Population growth Nt + 1 = Nt + B – D + I – E.

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Populations

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Population growth

• Nt + 1 = Nt + B – D + I – E

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Population growth

• Nt + 1 = Nt + B – D + I – E

• Nt + 1 = Nt + B – D (assume no I and E)

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Time: 0 1 2 3 4 5 6 7Cells: 1 2 4 8 16 32 64 128

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Time: 0 1 2 3 4 5 6 7Cells: 1 2 4 8 16 32 64 128

“J” shaped or exponential growth

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Exponential growth: # increase by constant factor (R or reproductive rate) each time interval

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Nt = N0Rt

R = 2, N0 = 1, t = 5

Nt = 1 * 25 = 32

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Nt = N0Rt

R = 2, N0 = 1, t = 5

Nt = 1 * 25 = 32Mathematical model for non-overlapping (discrete) populations

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dN/dt = rNr = intrinsic rate of increaser = birth rate (b) – death rate (d)

Mathematical model for overlapping populations

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r > 0 population will grow

r = 0 population won’t change

r < 0 population will shrink

dN/dt = rN

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Fig. 52.8 The exponential model for population growth

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Fig 52.9

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Fig 52.20

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Fig 52.16

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Cod in north Atlantic

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Fig. 52.11 The patterns of exponential and logistic population growth

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For: r=0.1 K=100

if N = 10 dN/dt = .1 (10) [(100 - 10)/100]= .1 (10) (.9)= .9

if N = 99 dN/dt = .1 (99) [(100 - 99)/100]= .1 (99) (.01)= .099

dN/dt = r N [(K - N)/K]

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What do I need to know about these models?

Exponential Logistic

Pattern: J-shaped S-shaped

Equation*: dN/dt = rN dN/dt = rN[(K-N)/K]

Assumptions: -growth rate constant growth rate decreases

with pop size

-unlimited env. carrying capacity

* Know what each term means and how changes in the terms affect the pattern of population growth.

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Sometimes population growth is independent of density

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Fig 52.18

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Larch budmoth

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Fig. 52.3

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Fig. 52.22

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A Life Table

Number Probability of #Offspring bornAge aged x survival to x to females aged x

0 600 1.0 0

1 300 0.5 0

2 240 0.4 2

3 60 0.1 3

4 30 0.05 5

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Age group (x)

Nx bx lx

0 600 0 1

1 300 0 .5

2 240 2 .4

3 60 3 .1

4 30 5 .05

lxbx

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Lifetime offspring per individual female