Population Ecology Flashcards

1
Q

What are three key features of population growth that models try to capture

A
  1. Ability to increase from low density
  2. Population growth must eventually stop due to environmental limits
  3. Populations fluctuate in seemingly random ways
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2
Q

When is a continuous time model more appropriate in population ecology

A

When birth and death occur continuously, such as in bacterial populations

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3
Q

When is a discrete time model more appropriate in population ecology

A

When reproduction is seasonal or synchronised, such as in wildebeest

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4
Q

What does the parameter r represent in population models

A

The intrinsic rate of increase - a life history trait influenced by reproduction and mortality patterns

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5
Q

What does K represent in population models

A

the carrying capacity - the maximum population size an environment can support, based on available resources

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6
Q

What causes environmental stochasticity

A

Random environmental changes like weather affecting resource availability and thus K

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7
Q

What is the effect on a high r on population response to environmental fluctuations

A

Populations with high r can track changes in K more closely and recover faster from declines

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8
Q

What is the effect of a low r on a populations ability to recover

A

Slower recovery from declines, more susceptible to extinction after hazards

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9
Q

What is Occam’s razor and how does it apply to population ecology models

A

The principle of favouring simpler explanations; useful for isolating effects in complex systems

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10
Q

How does environmental stochasticity interact with hazard events

A

Random catastrophic events (e.g. harsh winters) can cause crashes, recovery time is inversely related to r

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11
Q

How do K-selected species differ from r-selected species

A

K-selected: Few, high-quality offspring, slow growth (e.g. whales)
r-selected: Many, fast-growing offspring, quick recovery (e.g. rodent

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12
Q

What is demographic stochasticity

A

Randomness in individual births and deaths, especially impactful in small populations

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13
Q

What is the Allee effect

A

A decrease in population growth rate when population size becomes too small, sometimes leading to extinction

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14
Q

What is a strong Allee effect

A

When a population drops below a critical size, growth rate becomes negative and the population cannot recover

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15
Q

What are three biological causes of strong Allee effects

A
  1. Breakdown of group defence (e.g., Musk Ox)
  2. Reduced hunting success in small packs (e.g., African wild dogs)
  3. Difficulty finding mates (e.g. Kakapo)
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16
Q

What is the minimum viable population (MVP)

A

the smallest population size needed to avoid extinction due to stochastic effects, estimated median is ~4000 individuals

17
Q

Why is the Kakapo so vulnerable to extinction

A

It’s a K-selected species with low reproductive rate, long lifespan, infrequent breeding, and high sensitivity to environmental change and predators

18
Q

What does a high r mean in terms of recovery from population crashes

A

Species with high r can recover rapidly after catastrophic events

19
Q

What are the typical traits of r-selected species

A

High reproductive rate
Small body size
Early maturation
Frequent and large litters
Thrive in less competitive environments

20
Q

What are typical traits of K-selected

A

Low reproductive rate
Large body size
Late maturation
Few, well-invested offspring
Live in competitive environments

21
Q

What is the r/K or fast/slow continuum

A

A general framework comparing species with fast (r-selected) vs. slow (K-selected) life histories - though it’s a simplification

22
Q

Why is r so difficult to estimate

A

Because it integrates many life-history traits and can be influenced by varying environmental and demographic factors

23
Q

What is the Poisson distribution used for in population models

A

To generate whole number population sizes from random processes, where the mean and variance are the same

24
Q

What is the impact of demographic stochasticity on small populations

A

Increased risk of extinction due to random variation in births and deaths

25
How do environmental and demographic stochasticity combine
They increase extinction risk, especially in small populations or those with low r
26
What is genetic drift and why is a problem
Loss of genetic diversity due to random sampling especially problematic in small or recently reduced populations as it can lead to a tight gene pool
27
How does a high r affect discrete-time logistic models
Leads to overshooting K, oscillations, and potentially chaotic dynamics in population size
28
How can selection on r lead to positive feedback loops
Harsh environments select for earlier reproduction and smaller size, which increases vulnerability, intensifying selection on r
28
What is chaotic population dynamics
When population size becomes unpredictable due to high sensitivity to initial conditions — like weather systems
29
Whats the different between life history traits and environmental parameters
r = life history trait (evolves, intrinsic to species) K = environmental parameter (set by resources and external factors)
30
Why are low-r species more vulnerable to hazards
They recover slowly from population crashes and spend little time at carrying capacity, increasing extinction risk
31
What causes chaotic dynamics in population models
High r values in discrete-time models combined with overcompensating density dependence lead to unpredictable patterns
32
Why is chaos relevant in ecology
t shows that even simple rules can produce complex and unpredictable dynamics - similar to weather systems