topic 5 Flashcards

1
Q

assumptions of logistic growth - from topic 4

A
  1. Simple density-dependence (linear & positive)
    Relaxed in more complex models; e.g. Allee effect (Topic 5)
    1. Responses to crowding are instantaneous (no time lags)
      Relaxed in time-lagged models (Topic 5)
    2. No age or genetic structure
      Can produce age-structured models (next topic)
    3. No impact of other species on population growth
      Can be included (next few weeks)
    4. Closed population & constant K
      Relaxed in more complex models
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2
Q

non - linear density dependence- why?

A

D-D more complex than simple linear in nature
○ At intermediate pop. Levels - might be intraspecific competition
○ At higher densities - might be interactions w other species ie. Predators compounding death rate = exponential death rate
ex. 2 Although death rate may increase due to interspecific competition, maybe cooperation helps offset it
graphs

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3
Q

inverse D-D?

A

not realistic for full range of densities
○ Opposite of interspecific competition
○ Not realistic for all densities but does come into play for certain situations, especially at low pop. Numbers - called the allee effect

b goes up and d goes down

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4
Q

what is the allee effect? look at graphs

A

inverse D-D at low N

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5
Q

why might you see allee effects - higher death rates

A

• Higher death rates in small pops. Because
• Lack of group cooperation
○ Increase predation risk
○ Reduced foraging efficiency
○ Unable to thermoregulate
• Small populations at risk of stochastic extinction &
negative genetic effects (e.g., inbreeding
depression)

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6
Q

why might you see allee effects - lower b rates

A

• Mating failures
○ Pollination or fertilization failures ex some fish or corals that use passive reproduction
○ Males and females unable to locate one another
Stochastic variation in sex ratio

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7
Q

consequences of allee effect - what is mvp, is it stable

A

○ At low pop their ability to cooperate declines
○ If density continued to increase the inverse density dependence would disappear
○ Mvp - unstable equilibrium, under this size pop. Is unlikely to continue to be viable
Death rate is density independent in the consequences graph, but still have mvp and carrying capacity

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8
Q

look at graphs of allee. define MVP

A

• Either way you will see mvp and k exhibiting allee effects
Minimum viable population size (MVP): Min. # individuals required for a high probability of population survival over a given period of time

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9
Q

why is mvp unstable

A

• Mvp unstable bc pops below this number will exceed to extinction
If they exceed k they will still decline, but will decline towards carrying capacity NOT to extinction
d=b at mvp, d=b at k, look at graph

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10
Q

pop below mvp?

A

d>b, r<0

death rate > birth rate

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11
Q

pop above K

A

d>b, r>0

large pop, death exceeds birth, pop decline towards k

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12
Q

pop allee effects at intermediate N?

A

pop increase towards k

d<b>0 </b>

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13
Q

what are time lags

A

• Amount of time it takes for a population to respond to change in environment (ie. Density)
Causes delayed density dependence
Population vital rates do not respond immediately to changes in N, i.e., they
experience time lags

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14
Q

time lag examples

A

• GESTATION TIME: # born at a given time may be influenced by
densities present several time periods ago
○ # births depends on conditions when individuals became pregnant, after which there is a gestation period.
○ Lag time = gestation period
• DEATH IS NOT IMMEDIATE:
• Lag time = time between change in conditions (density) & when an individual actually dies
Ie. Starvation

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15
Q

ex of more complex time lag interaction

A

interspecific can also cause time lags
Relating to more complex interactions:
Induced plant defenses may take time (after initial
herbivory) to accumulate
Delayed numerical responses of predators
— Gestation time Of predators

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16
Q

what does timelag do to pop growth

A

Time lags result in population fluctuations (ossilations) • Pop. Might grow above carrying capacity - hasn’t responded immediately
• Then they will drop below carrying capacity - will begin to respond, also not immediate

17
Q

oscillations in discrete time logistic

A

Discrete model coarse density-dependent feedback (built in time lags)
Population growth rate adjusted once per discrete time interval
Without additional time lags, extent of oscillations depend on R (see simulation)
with added time lags - extent of oscillations depend on R and length of time lag

18
Q

look at graph of pop growth with and without time lag

A

ok

19
Q

time lags for cont. logistic?

A

no time lags - instantaneous feedback, no oscillations
can add a time lag to the model: dN/dt=rNt[1-N(t-tau)/k)
pop growth rate responds to pop size w time lag
n(t-tau) = pop size at time t-tau in the past

20
Q

what do time lags depend on

A

Extent of oscillations depend on:
Reproductive potential (R or r)
Higher R or r = greater “overshoot” or “undershoot” Of K
Length of time lag (tau)
Longer time lag = greater potential “overshoot” or
“undershoot” Of K
Longer tau = responding to population densities further in
the past

21
Q

forms of the model with conditions - look at graphs

A

when r or R and tau is small w no fluctuation - monotonic approach to equilibrium
aat intermediate values - damped oscillations
at greater values - stable limit cycles
chaos (high R,r, tau)
unstable cycles (VERY high R,r, tau)