Self-Organization in Complex Ecosystems
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A01=Jordi Bascompte
A01=Ricard Sole
Approximation
Attractor
Author_Jordi Bascompte
Author_Ricard Sole
Balance of nature
Bifurcation diagram
Bifurcation theory
Biodiversity
Biological constraints
Cascade effect (ecology)
Category=PSAF
Central limit theorem
Chaos theory
Coevolution
Community structure
Complex adaptive system
Correlation and dependence
Correlation dimension
Critical phenomena
Density dependence
Diagram (category theory)
Ecology
Ecosystem
Ecosystem model
Emergence
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Errors and residuals
Evolution
Evolutionary dynamics
Extinction event
Extinction threshold
Food chain
Fractal dimension
Habitat destruction
Habitat fragmentation
Infection rate
Initial condition
Intermediate Disturbance Hypothesis
Intraguild predation
Keystone species
Logistic map
Lotka-Volterra equations
Lyapunov exponent
Macroevolution
Metapopulation
Nestedness
Network dynamics
Nonlinear system
Parameter
Pattern formation
Percolation threshold
Phase transition
Population cycle
Population dynamics
Power law
Predation
Prediction
Priority effect
Probability
Quantity
Ranking (information retrieval)
Replicator equation
Result
Self-organization
Self-organized criticality
Spatial correlation
Spatial ecology
Spatial heterogeneity
Stochastic
Stochastic cellular automaton
Stochastic process
Stochastic simulation
Time series
Vegetation
Product details
- ISBN 9780691070407
- Weight: 539g
- Dimensions: 152 x 235mm
- Publication Date: 26 Mar 2006
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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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.
Ricard V. Sole 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".
