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Self-Organization in Complex Ecosystems. (MPB-42) : Monographs in Population Biology - Ricard V. Sole

Self-Organization in Complex Ecosystems. (MPB-42)

Monographs in Population Biology

Paperback

Published: 1st March 2006
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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 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.

"Self-Organization in Complex Ecosystems is an excellent book, and could very well be the very best of its type."--Timothy F. H. Allen. BioScience "There is no book like this in the canonical line of textbooks on theoretical ecology: Self-Organization in Complex Ecosystems views ecosystems from the perspective of self-organization and the emergence of their large-scale complex features. It does this from a largely mathematical perspective and, surprisingly, draws on several methods from theoretical physics."--Stefan Bornholdt, TRENDS "Throughout the volume, the authors provide examples of rigorous mathematical treatment and ecological problems of local and global significance using concepts and tools of statistical physics. These examples, as well as a solid background on the applicability of fundamental laws of physics in ecology, could provide excellent supplemental formation for theoretical ecology courses."--Igor Linkov, Quarterly Review of Biology

List of Figures and Tablesp. xi
Acknowledgmentsp. xv
Complexity in Ecological Systemsp. 1
The Newtonian Paradigm in Physicsp. 2
Dynamics and Thermodynamicsp. 6
Emergent Propertiesp. 10
Ecosystems as Complex Adaptive Systemsp. 13
Nonlinear Dynamicsp. 17
The Balance of Nature?p. 17
Population Cyclesp. 19
Catastrophes and Breakpointsp. 27
Deterministic Chaosp. 31
Evidence of Bifurcations in Naturep. 34
Unpredictability and Forecastingp. 42
The Ecology of Universalityp. 48
Evidence of Chaos in Naturep. 50
Criticisms of Chaosp. 58
Complex Dynamics: The Interplay between Noise and Nonlinearitiesp. 61
Spatial Self-Organization: From Pattern to Processp. 65
Space: The Missing Ingredientp. 65
Turing Instabilitiesp. 68
Coupled Map Lattice Modelsp. 84
Looking for Self-Organizing Spatial Patterns in Naturep. 95
Dispersal and Complex Dynamicsp. 98
Spatial Synchrony in Population Cyclesp. 108
When Is Space Relevant? A Trade-Off between Simplicity and Realismp. 117
Coevolution and Diffusion in Phenotype Spacep. 123
Scaling and Fractals in Ecologyp. 127
Scaling and Fractalsp. 127
Fractal Time Seriesp. 137
Percolationp. 139
Nonequilibrium Phase Transitionsp. 144
The Branching Processp. 146
The Contact Process: Complexity Made Simplep. 149
Random Walks and Levy Flights in Population Dynamicsp. 151
Percolation and Scaling in Random Graphsp. 156
Ecological Multifractalsp. 162
Self-Organized Critical Phenomenap. 165
Complexity from Simplicityp. 168
Habitat Loss and Extinction Thresholdsp. 171
Habitat Loss and Fragmentationp. 171
Extinction Thresholds in Metapopulation Modelsp. 173
Extinction Thresholds in Metacommunity Modelsp. 178
Food Web Structure and Habitat Lossp. 186
Percolation in Spatially Explicit Landscapesp. 191
Extinction Thresholds in Spatially Explicit Modelsp. 195
Analytical Models of Correlated Landscapesp. 199
More Realistic Models of Extinction Thresholdsp. 206
Complex Ecosystems: From Species to Networksp. 215
Stability and Complexityp. 215
N-Species Lotka-Volterra Modelsp. 218
Topological and Dynamic Constraintsp. 223
Indirect Effectsp. 226
Keystone Species and Evolutionary Dynamicsp. 231
Complexity and Fragility in Food Websp. 237
Community Assembly: The Importance of Historyp. 251
Scaling in Ecosystems: A Stochastic Quasi-Neutral Modelp. 254
Complexity in Macroevolutionp. 263
Extinction and Diversificationp. 263
Internal and External Factorsp. 264
Scaling in the Fossil Recordp. 270
Competition and the Fossil Recordp. 276
Red Queen Dynamicsp. 279
Evolution on Fitness Landscapesp. 282
Extinctions and Coherent Noisep. 292
Network Models of Macroevolutionp. 295
Ecology as It Would Be: Artificial Lifep. 304
Recovery after Mass Extinctionp. 308
Implications for Current Ecologiesp. 313
Lyapunov Exponents for ID Mapsp. 317
Renormalization Group Analysisp. 319
Stochastic Multispecies Modelp. 321
Referencesp. 325
Indexp. 359
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9780691070407
ISBN-10: 0691070407
Series: Monographs in Population Biology
Audience: Tertiary; University or College
Format: Paperback
Language: English
Number Of Pages: 373
Published: 1st March 2006
Country of Publication: US
Dimensions (cm): 23.42 x 15.55  x 2.18
Weight (kg): 0.54