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Logistic Population Model

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P(t) = P<<sub>0</sub> * K / P<sub>0</sub> + (K-P<<sub>0</sub>) * E^-RT


P
(t) is the population size at time t (measured in days)
P0 is the initial population size
K is the carrying capacity of the environment
r is a constant representing population growth or decay

Problem F-Predict how a population will change over time

Using this model, answer the following question.

F.

Suppose P0 = 96, K = 130, and r = - 0.12. Compute the population size after 2, 5, 10, and 100 days. What do you suggest happens to the population size as t → ∞ ? Use the logistic equation above to find your answer.

A.
P(t) → – ∞ as t → ∞.
B.
P(t) → 130 as t → ∞.
C.
P(t) → 0 as t → ∞.
D.
P(t) → ∞ as t → ∞.
E.
P(t) → 96 as t → ∞.
 

 

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The Biology Project > Biomath > Applications > Logistic Population Model


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The University of Arizona

February 2005
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