Stochasticity can be hard to incorporate into population models, though stochast
ID: 32679 • Letter: S
Question
Stochasticity can be hard to incorporate into population models, though stochastic phenomena often cause population growth rates to vary. Which of the following is NOT an example of a stochastic process that would be hard to model?
A.Individuals in the population competing with each other for resources
B.Disturbances like tornadoes or forest fires that kill large numbers of individuals
C.Variation in the sequence of births and deaths in a small population
D.The unexpected influx of a large number of immigrants
In contrast, some seemingly random fluctuations result from internal processes that are completely deterministic. For example, the discrete logistic equation does a good job of modeling which of these?
A.Allee effects in small populations
B.Age-dependent birth and death rates
C.Delayed density dependence
D.Seasonal variations in food availability
Demographic stochasticity increases extinction risk for small populations.
T or F?
Environmental stochasticity does not affect extinction risk for large populations.
T or F?
Chaotic population fluctuations occur only when environmental or demographic conditions change
T or F?
Explanation / Answer
1) Since, a large number of people are dead; change in small number will not matter. Since statistics can be easily applied while the sample size is high, this stochastic model will not be hard to examine.
Thus, the correct option is (b) Disturbances like tornadoes or forest fires that kill large numbers of individuals.
2) The correct option is (c) Delayed density dependence
3) Demographic stochasticity increases extinction risk for small populations is a true statement.
4) Environmental stochasticity does not affect extinction risk for a large population is a false statement.
5) Chaotic population fluctuations occur only when environmental or demographic conditions change is a true statement.
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