| Description |
1 online resource : illustrations, map |
| Contents |
Frontmatter -- Contents -- Chapter 1. Mathematical modeling in biology -- Chapter 2. How to construct a model -- Chapter 3. Deriving classic models in ecology and evolutionary biology -- Primer 1. Functions and approximations -- Chapter 4. Numerical and graphical techniques--developing a feeling for your model -- Chapter 5. Equilibria and stability analyses--one-variable models -- Chapter 6. General solutions and transformations--one-variable models -- Primer 2. Linear algebra -- Chapter 7. Equilibria and stability analyses--linear models with multiple variables -- Chapter 8. Equilibria and stability analyses--nonlinear models with multiple variables -- Chapter 9. General solutions and transformations--models with multiple variables -- Chapter 10. Dynamics of class-structured populations -- Chapter 11. Techniques for analyzing models with periodic behavior -- Chapter 12. Evolutionary invasion analysis -- Primer 3. Probability theory -- Chapter 13. Probabilistic models -- Chapter 14. Analyzing discrete stochastic models -- Chapter 15. Analyzing continuous stochastic models--diffusion in time and space -- The art of mathematical modeling in biology -- Appendices 1. Commonly used mathematical rules -- Some important rules from calculus -- Perron-Frobenius theorem -- Finding maxima and minima of functions -- Moment-generating functions -- Index of definitions, recipes, and rules -- General Index |
| Summary |
"Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus. Otto and Day then gradually build in depth and complexity, from classic models in ecology and evolution to more intricate class-structured and probabilistic models. The authors provide primers with instructive exercises to introduce readers to the more advanced subjects of linear algebra and probability theory. Through examples, they describe how models have been used to understand such topics as the spread of HIV, chaos, the age structure of a country, speciation, and extinction. Ecologists and evolutionary biologists today need enough mathematical training to be able to assess the power and limits of biological models and to develop theories and models themselves. This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists" Publisher description |
| Bibliography |
Includes bibliographical references and indexes |
| Notes |
Association of American Publishers PROSE Award, 2007 |
|
Online resource; title from PDF title page (ProQuest Ebook Central, viewed October 19, 2020) |
| Subject |
Ecology -- Mathematical models
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Evolution (Biology) -- Mathematical models
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Biological models.
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Models, Biological
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NATURE -- Ecology.
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NATURE -- Ecosystems & Habitats -- Wilderness.
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SCIENCE -- Environmental Science.
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SCIENCE -- Life Sciences -- Ecology.
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MATHEMATICS -- General.
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Biological models
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Ecology -- Mathematical models
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Evolution (Biology) -- Mathematical models
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Evolution
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Mathematisches Modell
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Ökologie
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| Form |
Electronic book
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| Author |
Day, Troy, 1968- author.
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| ISBN |
9781400840915 |
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1400840910 |
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0691123446 |
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9780691123448 |
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