Self-Organization in Complex Ecosystems. (MPB-42) (Monographs in Population Biology)

Sol├ , Ricard V.; Bascompte, Jordi

Published by Princeton University Press
ISBN 10: 0691070407 / ISBN 13: 9780691070407
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Can physics be an appropriate framework for the understanding of ecological science? Most ecologists would probably agree that there is little relation between the complexity of natural ecosystems and the simplicity of any example derived from Newtonian physics. Though ecologists have long been interested in concepts originally developed by statistical physicists and later applied to explain everything from why stock markets crash to why rivers develop particular branching patterns, applying such concepts to ecosystems has remained a challenge.



Self-Organization in Complex Ecosystems is the first book to clearly synthesize what we have learned about the usefulness of tools from statistical physics in ecology. Ricard Solé and Jordi Bascompte provide a comprehensive introduction to complex systems theory, and ask: do universal laws shape the structure of ecosystems, at least at some scales? They offer the most compelling array of theoretical evidence to date of the potential of nonlinear ecological interactions to generate nonrandom, self-organized patterns at all levels.


Tackling classic ecological questions--from population dynamics to biodiversity to macroevolution--the book's novel presentation of theories and data shows the power of statistical physics and complexity in ecology. Self-Organization in Complex Ecosystems will be a staple resource for years to come for ecologists interested in complex systems theory as well as mathematicians and physicists interested in ecology.

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"A great book. Self-organization in Complex Ecosystems brings a whole new set of tools from statistical physics into the realm of studying ecological systems. Most, if not all, of these tools have been floating around the ecological literature for quite some time, in great part due to these authors themselves, but this book is the best overview yet. It will soon become the foundation for many courses and a major resource sitting on ecologists' bookshelves."--Will Wilson, Duke University

"This book is an outstandingly good summary of where we currently stand in the field of ecology. It draws together, in a clear and synoptic way, a large variety of new ideas and supporting them where possible and appropriate by data."--Robert M. May, University of Oxford

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Title: Self-Organization in Complex Ecosystems. (...
Publisher: Princeton University Press
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Book Description Princeton University Press, United States, 2006. Paperback. Condition: New. Language: English . Brand New Book. Can physics be an appropriate framework for the understanding of ecological science? Most ecologists would probably agree that there is little relation between the complexity of natural ecosystems and the simplicity of any example derived from Newtonian physics. Though ecologists have long been interested in concepts originally developed by statistical physicists and later applied to explain everything from why stock markets crash to why rivers develop particular branching patterns, applying such concepts to ecosystems has remained a challenge. Self-Organization in Complex Ecosystems is the first book to clearly synthesize what we have learned about the usefulness of tools from statistical physics in ecology. Ricard Sole and Jordi Bascompte provide a comprehensive introduction to complex systems theory, and ask: do universal laws shape the structure of ecosystems, at least at some scales? They offer the most compelling array of theoretical evidence to date of the potential of nonlinear ecological interactions to generate nonrandom, self-organized patterns at all levels. Tackling classic ecological questions--from population dynamics to biodiversity to macroevolution--the book s novel presentation of theories and data shows the power of statistical physics and complexity in ecology. Self-Organization in Complex Ecosystems will be a staple resource for years to come for ecologists interested in complex systems theory as well as mathematicians and physicists interested in ecology. Seller Inventory # AAH9780691070407

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