Handbook of Quantitative Ecology by Justin Kitzes (English) Hardcover Book

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An essential guide to quantitative research methods in ecology and conservation biology, accessible for even the most math-averse student or professional.Quantitative research techniques have become increasingly important in ecology and conservation biology, but the sheer breadth of methods that must be understood—from population modeling and probabilistic thinking to modern statistics, simulation, and data science—as well as a lack of computational or mathematics training have hindered quantitative literacy in these fields. In this book, ecologist Justin Kitzes answers those challenges for students and practicing scientists alike.Requiring only basic algebra and the ability to use a spreadsheet, the Handbook of Quantitative Ecology is designed to provide a practical, intuitive, and integrated introduction to widely used quantitative methods. Kitzes builds each chapter around a specific ecological problem and arrives, step by step, at a general principle through the act of solving that problem. Grouped into five broad categories—difference equations, probability, matrix models, likelihood statistics, and other numerical methods—the book introduces basic concepts, starting with exponential and logistic growth, and helps readers to understand the field's more advanced subjects, such as permutation tests, stochastic optimization, and cellular automata. Complete with online solutions to all numerical problems, Kitzes's Handbook of Quantitative Ecology is an ideal coursebook for both undergraduate and graduate students of ecology, as well as a useful and necessary resource for mathematically out-of-practice scientists.

FORMATHardcover LANGUAGEEnglish CONDITIONBrand New Author Biography

Justin Kitzes is assistant professor of biological sciences at the University of Pittsburgh. He is coeditor of The Practice of Reproducible Research:Case Studies and Lessons from the Data-Intensive Sciences.

Table of Contents

IntroductionPart I Change over TimeChapter 1 Introducing Difference EquationsChapter 2 Duckweed on a Pond: Exponential GrowthChapter 3 Throwing Shade I: Logistic GrowthChapter 4 Throwing Shade II: Lotka-Volterra CompetitionChapter 5 Rabies Removal: SIR ModelsPart II Understanding UncertaintyChapter 6 Introducing ProbabilityChapter 7 A Bird in the Cam I: Single-Variable ProbabilityChapter 8 A Bird in the Cam II: Two-Variable ProbabilityChapter 9 Picking Ticks: Bayes's RuleChapter 10 Rabbit Rates: Probability DistributionsPart III Modeling Multiple StatesChapter 11 Introducing Matrix ModelsChapter 12 Imagine All the Beetles: Age-Structured ModelsChapter 13 The Road to Succession: Transition MatricesChapter 14 A Pair of Populations: AbsorptionChapter 15 Fish Finders: DiffusionPart IV Explaining DataChapter 16 Introducing StatisticsChapter 17 Seedling Counts I: Maximum LikelihoodChapter 18 Seedling Counts II: Model SelectionChapter 19 Flattened Frogs I: Generalized Linear ModelsChapter 20 Flattened Frogs II: Hypothesis TestingPart V Expanding the ToolboxChapter 21 Other TechniquesChapter 22 Bird Islands: Graphical ThinkingChapter 23 Max Plant Institute: OptimizationChapter 24 Bears with Me: Stochastic SimulationChapter 25 Natives in the Neighborhood: Cellular AutomataReferencesIndex

Review

"Handbook of Quantitative Ecology is most valuable. The book clearly, briefly, and gently introduces readers to many quantitative approaches one can find used in ecology today. . . . This book can (and should) be given to the enthusiastic undergraduate with an interest in ecology, the master's or PhD student with little to no mathematical training, or a professor looking to develop or reshape a course in quantitative biology. The author beautifully illustrates how effective quantitative analysis can be for solving ecological questions." * Quarterly Review of Biology *"Quantitative ecology is the application of mathematical modeling and probability theory to ecological concepts. Kitzes provides a short introduction to the quantitative methods most relevant to an introductory undergraduate course in ecology. In addition to short chapters introducing the methods of quantitative ecology, 20 chapters each present a simple example that can be studied through a quantitative method. Each chapter extends to four or five pages. After presenting the chapter's problem, the appropriate mathematical method is explained. Kitzes presents readers with specific instructions on setting up the mathematical model in a spreadsheet. His writing style is very clear, employing only minimal jargon. The mathematics is limited to algebra, presenting a low barrier to students without much mathematical background. The methods include difference equations, probability, matrix models, and several others. . . . Recommended." * Choice *"A stroke of genius. Kitzes does an excellent job of translating the properties of biological systems into mathematical models, using basic logic and without any advanced math. His approach is a powerful way to demystify these models and make them intuitive." -- Corlett Wolfe Wood, University of Pennsylvania"A low-threshold, high-ceiling introduction. Kitzes's book will appeal to undergraduate and graduate students who wish to increase their quantitative understanding to be able to better engage with the literature (which has grown increasingly quantitative) and take the first step—a large leap, in fact—toward becoming practitioners of quantitative ecology." -- Andrew Rominger, University of Maine

Review Quote

"A stroke of genius. Kitzes does an excellent job of translating the properties of biological systems into mathematical models, using basic logic and without any advanced math. His approach is a powerful way to demystify these models and make them intuitive."

Details ISBN0226818322 Author Justin Kitzes Pages 176 Language English Year 2022 ISBN-10 0226818322 ISBN-13 9780226818320 Format Hardcover Publication Date 2022-07-20 UK Release Date 2022-07-20 Imprint University of Chicago Press Country of Publication United States Illustrations 24 halftones, 19 tables NZ Release Date 2022-07-20 US Release Date 2022-07-20 Publisher The University of Chicago Press DEWEY 577.015118 Audience Professional & Vocational AU Release Date 2022-07-19 We've got this

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