BIO220H1 Lecture 17: Lecture 17 Notes
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BIO220H1 Full Course Notes
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Human impact is a function of population and consumption (affluence and technology: affluence the consumption that humans are imposing on natural systems, technology efficiency with which that affluence is gained. Dn/dt = rn; solved as nt = n0ert. The simplest model of density-dependent regulation is the logistic model: density-dependent growth rates are not constant but vary with the number of individuals in the population. Logistic growth sigmoid growth, asymptotic approach to carrying capacity (k) Slide 7: population starts with exponential growth but flattens out at k, the breaking term [(k-n)/k] shows how resources are being exhausted. The data from allee from before 1949 best fit the sigmoid curve. They reached the conclusion that the carrying capacity would be 2. 6 billion people. Best fit of logistic equation to data suggests levelling at 2. 6 billion. So far, human population growth looks more like exponential growth than logistic. The population didn"t fit the logistic model predicted by allee in the 1940s.
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