Stability and Complexity in Model Ecosystems
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A01=Robert M May
Almost surely
Approximation
Author_Robert M May
Autocorrelation
Balance of nature
Biological constraints
Calculation
Carrying capacity
Category=PSAF
Central limit theorem
Chaos theory
Character displacement
Coefficient
Community matrix
Competitive exclusion principle
Complex plane
Control theory
Correlation and dependence
Density dependence
Determinacy
Deterministic system
Differential equation
Dimension
Ecological niche
Ecological stability
Ecology
Ecosystem
Ecosystem model
Efficiency of conversion
Eigenvalues and eigenvectors
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Equation
Equilibrium point
Expected value
Fragility
Free parameter
Functional response
Group selection
Idealization
Information theory
Limit cycle
Limiting similarity
Linear equation
Linearization
Logistic function
Logistic map
Lotka-Volterra equations
Lyapunov function
Maximum sustainable yield
Multivariate normal distribution
Nonlinear system
Parameter
Parameter space
Population cycle
Population dynamics
Population model
Predation
Predictability
Probability
Probability distribution
Quantity
Spatial heterogeneity
Special case
Stability theory
Statistical significance
Stochastic
Stochastic differential equation
Structural stability
Theorem
Theory
Trophic level
Variable (mathematics)
Variance
Product details
- ISBN 9780691088617
- Weight: 340g
- Dimensions: 140 x 216mm
- Publication Date: 18 Mar 2001
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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What makes populations stabilize? What makes them fluctuate? Are populations in complex ecosystems more stable than populations in simple ecosystems? In 1973, Robert May addressed these questions in this classic book. May investigated the mathematical roots of population dynamics and argued-counter to most current biological thinking-that complex ecosystems in themselves do not lead to population stability. Stability and Complexity in Model Ecosystems played a key role in introducing nonlinear mathematical models and the study of deterministic chaos into ecology, a role chronicled in James Gleick's book Chaos. In the quarter century since its first publication, the book's message has grown in power. Nonlinear models are now at the center of ecological thinking, and current threats to biodiversity have made questions about the role of ecosystem complexity more crucial than ever. In a new introduction, the author addresses some of the changes that have swept biology and the biological world since the book's first publication.
Robert M. May has been a pioneer in theoretically driven biology for the last thirty years. He has done key work in population ecology, the dynamics of infectious diseases, extinctions, and other areas. He is currently a Professor at Oxford University as well as President of the Royal Society in the United Kingdom.
