EEB319H1 Lecture Notes - Lecture 16: Bifurcation Diagram, Time Series, State Space

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Lecture 16 chaos cont"d: tribolium example, time series evidence. Though about populations that have stages of lifecycle: different stages have different demographic rates. For stage-structured population models we looked at, focused on going from description of lifecycle to lifecycle graph that encapsulates processes that happen that connect developmental stages (annual demographic rates, fecundity, survival rates) to equations. Go from description to some equations for how population is changing though time. For density-independent populations can pull out important characteristics like the growth rate. Found that structured elements of population stabilize over long period of time: thinking about it in terms of relative abundances of stages, their proportions stabilize at some stable stage distribution. Size of overall population changes from time-step to time-step accordingly: this corresponded to eigenvalue and eigenvector pair. We looked at stage-structured populations in mussels but also in case of flour beetle. Went from description of lifecycle, to graph, to equations.

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