Lecture 11: Populations: Dynamics of consumer-resource populations Flashcards

1
Q

what have ecologists developed to study the dynamics of population growth and structure

A

three classes of spatially explicit models

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2
Q

3 modeling approaches with increasing level of complexity

A
  1. metapopulation models
  2. source-sink model
  3. landscape model
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3
Q

define metapopulation model

A

Describe a set of subpopulations occupying patches of habitat that individuals move between

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4
Q

define source-sink model

A

adds information habitat quality in
different patches to metapopulation model

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5
Q

define landscape model

A

Adds information on the differences in habitat within the habitat matrix - how surrounding habitat improves to source-sink

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6
Q

what does the metapopulation model measure

A

“patch occupation” through time

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7
Q

what does the source-sink model add to the metapopulation model

A

quality and directional movement data

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8
Q

what does the landscape model add to the source-sink model

A

data on habitat and barriers that alter movement

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9
Q

2 main sets of processes that the metapopulation has

A
  • Growth and regulation of subpopulations – each subpopulation may have its own birth and death rates and growth dynamics.
  • Colonization of empty patches and the extinction of existing occupied patches
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10
Q

what do metapopulation models capture

A

the dynamics of patch occupation and overall metapopulation persistence through time

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11
Q

factors impacting subpopulation dynaimcs

A
  1. Density-independent events have greater impact on small populations
  2. density-dependent factors
  3. movement between populations as a buffer
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12
Q

explain movement between populations as a buffer

A
  • The more individuals move between subpopulations, the more subpopulation dynamics mirror the dynamics of the full population
  • Zero or very little movement means each subpopulation has independent dynamics
  • At intermediate movement, subpopulations go extinct but are then recolonized, creating a shifting mosaic of patch occupation
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13
Q

metapopulation model equation

A

pe = 1 - (e / c)

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14
Q

explain the metapopulation model equation

A
  • pe = equilibrium proportion of occupied patches
  • e = extinction rate of patches
  • c = colonization rate of patches
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15
Q

metapopulation model equation - what happens when e < c

A
  • the equilibrium population is positive
  • this means the population is surviving
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16
Q

metapopulation model equation - what happens when e > c

A

the overall occupancy will decline to 0

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17
Q

metapopulation model equation - more complex/realistic models do what?

A

elaborate on the e and c parameters

18
Q

Dynamics can be influenced significantly by incorporating the following factors into e & c terms:

A
  1. Different patch sizes within a metapopulation.
  2. Different rates of colonization for each patch.
  3. Different dispersal from each patch.
  4. Inter-dependent patch colonization and extinction rates
19
Q

define rescue effect

A

The extent to which migration from large, productive patches can prevent small, unproductive patches from going extinct

20
Q

what can have a big impact on population dynamics

A
  • being eaten
  • consumer population can limit the resource population
21
Q

what are the consumer-resource interactions

A
  • Predator-prey.
  • Herbivore-plant.
  • Pathogen/parasite-host.
22
Q

how does the population cycle in regard to predator-prey interaction

A
  • As the prey population gets bigger, its easier for predators to see and catch
  • As the predator population grows, it starts to deplete prey, but time delay in reproduction
23
Q

what is cycling driven by

A

a combination of time delays, overshooting, and density-dependent effects in both predator and prey

24
Q

how do you get regular cycling

A

the more closely 1:1 predator-prey interaction is approximated, the closer to regulars cycling

25
what is the Lotka-Volterra model used for
used to predict the oscillations in the size of predator and prey populations
26
what is the Lotka-Volterra model describe
predator-prey population interactions.
27
the Lotka-Volterra model forms what foundation
forms the foundation of predator prey modeling research
28
Lotka-Volterra model equations
calculate the rate of change of predator and prey populations as each is reciprocally influenced by the other
29
Lotka-Volterra model equations - prey
[rate if change in the prey population] = [intrinsic growth rate of prey population] – [removal of prey individuals by predators]
30
Lotka-Volterra model equations - predator
[rate if change in the predator population] = [birth rate determined by prey captured] – [death rate from external factors]
31
Lotka-Volterra model - isocline lines
stable population sizes for prey and predator, based on the number of the other species in the interaction
32
Lotka-Volterra model - joint equilibrium point
- point where equilibrium isoclines cross - point at which populations will not change over time
33
Lotka-Volterra model - low number of prey and predators
a decrease in the predator population allows an increase in the prey population
34
Lotka-Volterra model - high number of prey and low number of predators
an increase in the prey population allows in an increase in the predator population
35
Lotka-Volterra model - high number of prey and predators
an increase in the predator population causes a decline in the prey population
36
Lotka-Volterra model - low number of prey and high number of predators
a decrease in the prey population causes a decrease in the predator population
37
Factors stabilizing Lotka-Volterra cycling
- predator inefficiency - density-dependent limitation - alternative food sources for the predator - refuges for the prey at low densities - reduced time delays in predator responses to changes in prey abundance
38
Lotka-Volterra cycling - predator inefficiency
prevents prey from being driven down so quickly
39
Lotka-Volterra cycling - density-dependent limitation
independent of the predator-prey relationship (disease, prey’s resource availability, etc.)
40
Lotka-Volterra cycling - alternative food sources for the predator
this prevents continued driving down of prey population and crash of predator population
41
Lotka-Volterra cycling - refuges
availability of predator-free space for the population to recover
42
Lotka-Volterra cycling - time delay
flattens high peaks and low troughs