Handbook of quantitative ecology
Justin Kitzes.
Bok Engelsk 2022
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| Opplysninger | Part I. Change over time. Introducing difference equations; Duckweed on a pond : exponential growth; Throwing shade I : logistic growth; Throwing shade II : Lotka-Volterra competition; Rabies removal : SIR models -- Part II. Understanding uncertainty. Introducing probability; A bird in the cam I : single-variable probability; A bird in the cam II: two-variable probability; Picking ticks : Bayes's rule; Rabbit rates : probability distributions -- Part III. Modeling multiple states. Introducing matrix models; Imagine all the beetles : age-structured models; The road to succession : transition matrices; a pair of populations : absorption; Fish finders : diffusion -- Part IV. Explaining data. Introducing statistics; Seedling counts I : maximum likelihood; Seedling counts II : model selection; Flattened frogs I : generalized linear models; Flattened frogs II : hypothesis testing -- Part V. Expanding the toolbox. Other techniques ; Bird islands : graphical thinking; Max Plant Institute : optimization; Bears with me : stochastic simulation; Natives in the neighborhood : cellular automata.. - "Students and other researchers entering the fields of ecology and conservation biology often come with little computational or mathematics training, leaving them feeling unprepared to participate in the quantitative aspects of research in these fields. In this "low threshold, high ceiling" introduction to the subject, Justin Kitzes, an ecologist who has taught students at both undergraduate and graduate levels, aims to remedy this situation. He argues that anyone with the ability and interest to study ecology can learn the basics of the most widely used methods in quantitative ecology. Specifically, Kitzes shows readers how to translate common biological questions into mathematical models, doing so using only basic algebra and the use of spreadsheets, without requiring any background in advanced mathematics or programming skills. Students and practicing conservation biologists who are mathematically out-of-practice or uncomfortable will find this book a useful and necessary resource"--
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| ISBN | 9780226818320. - 9780226818344
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