Lab 2 Assignment-QE.docx - Sarah Kerr WFB 4930/8610 –...

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Sarah Kerr WFB 4930/8610 – Quantitative Ecology Lab Assignment #2 LOGISTIC POPULATION MODELS Part A: Logistic Growth 1. Figure 1. The population in this model stabilizes at carrying capacity (50) because that is the largest number of individuals who can be supported indefinitely given the limited amount of resources in that specific environment. 2. The logistic model built differs from the exponential model given that in a logistic model there is a carrying capacity. The logistic growth model assumes that resources for growth and reproduction are limited. This is also known as density dependent, where the graph is not continuous and the population is not always (b>d) or N t +1 = Nt + bNt – dNt. Realistically other factors have to affect a populations growth, leaving the equation of dN/dt=rN to be dN/dt=rN(1-N/K).
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3. Figure 2. When a population starts off above carrying capacity, the population will quickly die off until the new population once again reaches carrying capacity. Once it reaches carrying capacity, the population size will then remain constant.
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  • Fall '17
  • ian morrison
  • Population Ecology, Logistic function, Sarah Kerr, LOGISTIC POPULATION MODELS

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