A01=Peter Turchin
Accuracy and precision
Additive white Gaussian noise
Attractor
Author_Peter Turchin
Autocorrelation
Balance of nature
Bayesian
Bayesian information criterion
Biomass (ecology)
Butterfly effect
Case study
Category=JHBD
Category=PSAF
Category=RGCG
Cross-validation (statistics)
Data set
Density dependence
Ecology
eq_bestseller
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_science
eq_society-politics
Estimation
Exponential growth
Forecasting
Free parameter
Functional response
Genetic drift
Habitat fragmentation
Herbivore
Initial condition
Law of mass action
Least squares
Least weasel
Leslie matrix
Limit cycle
Logistic map
Lotka–Volterra equations
Lyapunov exponent
Maternal effect
Negative binomial distribution
Negative feedback
Nonparametric regression
Paradox of enrichment
Parameter
Parasitism
Parasitoid
Partial autocorrelation function
Pheromone
Polynomial regression
Population
Population bottleneck
Population control
Population cycle
Population decline
Population dynamics
Population ecology
Population process
Predation
Prediction
Proportionality (mathematics)
Quantity
Random element
Rate of convergence
Red grouse
Ricker model
Rodent
Seasonality
Spline (mathematics)
State variable
Stationary distribution
Stochastic
Strong inference
Time series
Vegetation
Vital rates
Vole
Year
Product details
- ISBN 9780691090214
- Weight: 567g
- Dimensions: 140 x 216mm
- Publication Date: 02 Feb 2003
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
Secure
checkout
Fast Shipping
Easy returns
Why do organisms become extremely abundant one year and then seem to disappear a few years later? Why do population outbreaks in particular species happen more or less regularly in certain locations, but only irregularly (or never at all) in other locations? Complex population dynamics have fascinated biologists for decades. By bringing together mathematical models, statistical analyses, and field experiments, this book offers a comprehensive new synthesis of the theory of population oscillations. Peter Turchin first reviews the conceptual tools that ecologists use to investigate population oscillations, introducing population modeling and the statistical analysis of time series data. He then provides an in-depth discussion of several case studies--including the larch budmoth, southern pine beetle, red grouse, voles and lemmings, snowshoe hare, and ungulates--to develop a new analysis of the mechanisms that drive population oscillations in nature. Through such work, the author argues, ecologists can develop general laws of population dynamics that will help turn ecology into a truly quantitative and predictive science.
Complex Population Dynamics integrates theoretical and empirical studies into a major new synthesis of current knowledge about population dynamics. It is also a pioneering work that sets the course for ecology's future as a predictive science.
Peter Turchin is Professor of Ecology and Evolutionary Biology at the University of Connecticut. He is the author of "Quantitative Analysis of Movement" and more than sixty scientific articles, including several in "Nature and Science".
