BIO120H1 Lecture Notes - Lecture 18: Logistic Function, Exponential Growth, Step Function
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BIO120H1 Full Course Notes
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Population genetics: the genetic variation in a population. Clones one seed = identical connected stems. Identical seeds = identical flowers = unconnected plants zoologists = population ecology botanists = community ecology (excel spreadsheets) equations and consequences. Differential equations for infinitesimal steps exponential growth model and the logistic growth model. The geometric growth model the time is in discrete steps. Geometric and exponential growth model density independent independent of population. Density dependent: bigger population rate slows, bigger populations less resources. Looking at n as a function of t which is time. Circumstances of when birth rates exceed death rates and thus the population grows. Immigrating in or out emigrating of the population. Emigration has the same consequences as an individual dying. Lambda = 1 = no change in the state which population changes over one time unit steady. If lambda > 1 then birth exceeds death. Population starting size is at t0 when n = 0.
