Chapter 5: Estimating Population Growth Rates Flashcards

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1
Q

exponential (or geometric) growth

A
  • (per capita) rate of change in abundance that is not affected by density
  • growth = increase or decrease
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2
Q

examples of exponential decline

A
  • Hawaiian monk seal: 3.9% decline per year
  • Devil facial disease
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3
Q

Malthus dilemma

A

contrast between exponential growth vs arithmetic growth

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4
Q

Malthus dilemma: geometric growth

A
  • population
  • increases by a constant factor of 2
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5
Q

Malthus dilemma: arithmetic growth

A
  • food
  • increases by constant difference of 2
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6
Q

λ =

A

Nt + 1 / Nt

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7
Q

when λ = 1

A

the population is stationary

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8
Q

when λ < 1

A

the population decreases geometrically

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9
Q

when λ > 1

A

the population increases geometrically

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10
Q

% change per year =

A

(λ-1) * 100

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11
Q

NT =

A

No * λT

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12
Q

discrete time

A

change in N over 1 year

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13
Q

discrete time equation

A

Nt + 1 = Nt (λt)

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14
Q

continuous time

A

instantaneous change

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15
Q

continuous time equation

A

dN/dt = rN

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16
Q

r =

A

slope of a line

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17
Q

continuous (exponential) growth equation

A

dN/dt = rN

18
Q

continuous (exponential) growth

A
  • the rate of change in population size at each instant in time
  • the instantaneous per capital growth rate
19
Q

per capita growth rate

A

the average contribution each individual makes to population change

20
Q

how to convert between λ and r

A

r = ln(λ)
λ = e^r

21
Q

when r = 0

A

the population is stable

22
Q

when r < 0

A

the population decreases exponentially

23
Q

when r > 0

A

the population increases exponentially

24
Q

advantages of λ

A

translates easily into ‘percent annual growth’ an easily understandable metric

25
Q

disadvantages of λ

A

cannot average over consecutive values

26
Q

advantages of r

A
  • center around 0
  • successive r values can be added or averaged over time
  • r values can be divided to convert to different time scales
27
Q

disadvantages of r

A

a hard to explain logarithm of the proportionate population change per time step

28
Q

when use an exponential growth model for wild populations?

A
  • often used as a null model to then identify deviations
  • unaffected by density
  • in newly established populations
  • populations recovering from catastrophic declines
  • invasive, pest outbreaks
29
Q

population growth is often ________

A

variable (stochasticity)

30
Q

what causes stochasticity in growth rate over time?

A
  • sample variance
  • process variance
31
Q

sample variance

A
  • aka observation error
  • nature is not varying, but our estimation error makes it seem like it
32
Q

process variance

A

the one actually affecting changes in abundance & the one we care about

33
Q

internal drivers of process variance

A
  • age structure
  • density dependence
  • connectivity
34
Q

process variance: changes from interacting species

A
  • predation
  • competition
  • parasitism
  • human harvest
35
Q

process variance: stochastic factors

A
  • environmental stochasticity
  • demographic stochasticity
36
Q

demographic stochasticity

A

due to random deviation from mean birth and death rates

37
Q

where is demographic stochasticity especially important

A

small population

38
Q

where does demographic stochasticity arise from?

A

strictly from population size & not from any variability in the environment

39
Q

demographic stochasticity can cause …

A

declines in small populations

40
Q

environmental stochasticity

A
  • due to extrinsic factors that cause mean vital rates to change randomly over time
  • effects less dependent on population size
41
Q

environmental stochasticity examples

A
  • early springs
  • summer droughts
  • hurricanes
  • forest fires