Date created: Oct 24, 2013
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Logistic Model Population Growth Models
Logistic Model
Population Growth Models
a. rapid, resource replete growth at low populations (and high resources) b. inflection c. slowing net growth as population runs out of resources d. steady state at a high population
a. rapid, resource replete growth at low populations (and high resources)
b. inflection
c. slowing net growth as population runs out of resources
d. steady state at a high population
a. "Logistic Equation" for a population size N maximum growth rate (r) and carrying capacity (K) the growth rate decreases by a factor of (K-N)/K as N approaches K there is no death term, no mechanism for crash, b. STELLA model such as population size could reach a steady state when births = deaths c. general sigmoidal curves such as y = x^2/(x^2+K^2)
a. "Logistic Equation"
for a population size N maximum growth rate (r) and carrying capacity (K) the growth rate decreases by a factor of (K-N)/K as N approaches K there is no death term, no mechanism for crash,
for a population size N
maximum growth rate (r) and carrying capacity (K)
the growth rate decreases by a factor of (K-N)/K as N approaches K
there is no death term, no mechanism for crash,
b. STELLA model such as
population size could reach a steady state when births = deaths
c. general sigmoidal curves
such as y = x^2/(x^2+K^2)
