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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Ricard V. Solé is Professor of Research at the Catalan Institute for Research and Advanced Studies in Spain, head of the Complex Systems Lab at Universitat Pompeu Fabra in Barcelona, external professor at the Santa Fe Institute, and Senior Member of the NASA-Associate Center of Astrobiology. His recent books include Signs of Life: How Complexity Pervades Biology. Jordi Bascompte is Associate Professor of Research at the Spanish Research Council, and a Visiting Scientist at the National Center for Ecological Analysis and Synthesis at the University of California, Santa Barbara. He was awarded a European Young Investigator Award, and is coeditor of Modeling Spatiotemporal Dynamics in Ecology.
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Soft cover. Etat : Near Fine. The book has been covered in contact and there is an ownership signature on the front end paper and front paste down, else clean,solid and unmarked. xiv, 371 pages indexed. No 42 in Monographs in Population Biology edited by Simon A Levin and Henry S. Horn. " 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." (back cover) CONTENTS: Complexity in ecological systems Nonlinear dynamics Spatial self-organization: from pattern to process Scaling and fractals in ecology Habitat loss and extinction thresholds Complex ecosystems: from species to networks Complexity in macroevolution. N° de réf. du vendeur 018342
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Paperback. Etat : New. 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. N° de réf. du vendeur LU-9780691070407
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Etat : New. Deals with the usefulness of tools from statistical physics in ecology. This book provides an introduction to complex systems theory, and asks whether universal laws shape the structure of ecosystems. Tackling classic ecological questions, its presentation of theories and data focuses on the power of statistical physics and complexity in ecology. Series: Monographs in Population Biology. Num Pages: 384 pages, 112 line illus. 6 tables. BIC Classification: PSAF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 229 x 152 x 20. Weight in Grams: 542. . 2006. Paperback. . . . . N° de réf. du vendeur V9780691070407
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