Individual-based Modeling and Ecology

Princeton Series in Theoretical and Computational Biology

Book 2
Princeton University Press
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Individual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the mechanisms through which population and ecosystem ecology arises from how individuals interact with each other and their environment. This book provides the first in-depth treatment of individual-based modeling and its use to develop theoretical understanding of how ecological systems work, an approach the authors call "individual-based ecology.?

Grimm and Railsback start with a general primer on modeling: how to design models that are as simple as possible while still allowing specific problems to be solved, and how to move efficiently through a cycle of pattern-oriented model design, implementation, and analysis. Next, they address the problems of theory and conceptual framework for individual-based ecology: What is "theory"? That is, how do we develop reusable models of how system dynamics arise from characteristics of individuals? What conceptual framework do we use when the classical differential equation framework no longer applies? An extensive review illustrates the ecological problems that have been addressed with individual-based models. The authors then identify how the mechanics of building and using individual-based models differ from those of traditional science, and provide guidance on formulating, programming, and analyzing models. This book will be helpful to ecologists interested in modeling, and to other scientists interested in agent-based modeling.

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About the author

Volker Grimm is a Senior Researcher at the UFZ Centre for Environmental Research Leipzig-Halle and Lecturer at the University of Potsdam. Steven F. Railsback is a consulting scientist and Adjunct Professor of Mathematics at Humboldt State University.
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Additional Information

Publisher
Princeton University Press
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Published on
Nov 28, 2013
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Pages
448
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ISBN
9781400850624
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Language
English
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Genres
Computers / Data Modeling & Design
Computers / Desktop Applications / Design & Graphics
Mathematics / Applied
Science / Life Sciences / Ecology
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Content Protection
This content is DRM protected.
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Available on Android devices
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Eligible for Family Library

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Quantitative approaches to evolutionary biology traditionally consider evolutionary change in isolation from an important pressure in natural selection: the demography of coevolving populations. In Analysis of Evolutionary Processes, Fabio Dercole and Sergio Rinaldi have written the first comprehensive book on Adaptive Dynamics (AD), a quantitative modeling approach that explicitly links evolutionary changes to demographic ones. The book shows how the so-called AD canonical equation can answer questions of paramount interest in biology, engineering, and the social sciences, especially economics.

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Filled with examples and exercises, with updates and supplementary materials at http://www.railsback-grimm-abm-book.com/
Designed for students and researchers across the biological and social sciences
Written by leading practitionersLeading universities that have adopted this book include:


Amherst College
Brigham Young University
Carnegie Mellon UniversityCornell University
Miami University
Northwestern University
Old Dominion University
Portland State University
Rhodes College
Susquehanna University
University College, Dublin
University of ArizonaUniversity of British ColumbiaUniversity of Michigan
University of South FloridaUniversity of Texas at Austin
University of Virginia

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