Random fluctuations in population dynamics are fundamentally important in pure and applied ecology. This book introduces demographic and environmental stochasticity, and illustrates statistical methods for estimating them from field data. The concept of long-run growth rate of a population is explained and extended to age-structured populations. Diffusion approximations show how stochastic factors affect extinction in single populations and metapopulations. Delayed density dependence in populations with discrete annual reproduction is estimated from time series of adult numbers combined with basic life history data. The spatial scale of population fluctuations and local extinction risk depend on the scales of spatial environmental autocorrelation and individual dispersal, and the strength of density dependence. Stochastic dynamics and statistical uncertainty in population parameters are incorporated in Population Viability Analysis and sustainable harvesting. Statistics of species diversity measures and species abundance distributions are described, with implications for rapid assessments of biodiversity, and methods are developed for partitioning species diversity into components. Analysis of stochastic community dynamics indicates that real communities are far from neutral.
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Editorial Reviews
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"Our conservation effectiveness depends on our ability to understand biodiversity peril and biodiveristy persistence in the face of random environmental shocks. Lande, Engen and Saether have produced THE seminal theoretical contribution to conservation biology -- a brilliant exploration of stochastic influences on extinction and biodiversity. This is not a sterile theoretical treatise; it is a well-written and a certain-to-be-classic melding of theory and real-world examples."Peter Kareiva, Lead Scientist, The Nature Conservancy, USA
About the Author
Professor Lande is the winner of the Sewall Wright Award (1992),President, Society for the Study of Evolution, 1997, Fellow of the American Academy of Arts and Sciences, 1997- , MacArthur Foundation Fellow, 1997-2002.
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1 of 4 people found the following review helpful:
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caution!,
This review is from: Stochastic Population Dynamics in Ecology and Conservation (Oxford Series in Ecology & Evolution) (Paperback)
If all you want is a list of equations and examples of someone else using them, this is the book for you. If, like me, you were interested in learning the mathematics behind the totally opaque field of stochastic population modeling, this book will be totally useless to you. No derivations are provided for any save the most trivial examples.
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Inside This Book
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First Sentence:
Fluctuations in population size often appear to be stochastic, or random in time, reflecting our ignorance about the detailed causes of individual mortality, reproduction, and dispersal. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multiplicative growth rate, total density dependence, mean log abundance, environmental autocorrelation, neutral community models, tropical butterfly community, intraspecific synchrony, threshold harvesting, observed species abundances, stochastic population dynamics, population synchrony, intraspecific density dependence, demographic variance, estimating density dependence, low extinction risk, suitable unoccupied territory, proportional harvesting, heterogeneity among species, species abundance distribution, population time series, infinitesimal mean, environmental stochasticity, weak density dependence, log population size, individual dispersal Key Phrases - Capitalized Phrases (CAPs): (learn more)
Mute Swan, Great Tit, Song Sparrow, Grey Heron, Blue Tit, Soay Sheep, Amazonian Ecuador, Barn Swallow, Wytham Wood, Engure Marsh, Precautionary Principle, Red Lists, Time Fig, Tufted Duck, Analysis of Variance, Conservation International, Hirta Island, Lower Saxony, Norwegian Brown Bear, Seychelles Warbler, Northern Spotted Owl, Pied Flycatcher Ficedula New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Fluctuations in population size often appear to be stochastic, or random in time, reflecting our ignorance about the detailed causes of individual mortality, reproduction, and dispersal. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multiplicative growth rate, total density dependence, mean log abundance, environmental autocorrelation, neutral community models, tropical butterfly community, intraspecific synchrony, threshold harvesting, observed species abundances, stochastic population dynamics, population synchrony, intraspecific density dependence, demographic variance, estimating density dependence, low extinction risk, suitable unoccupied territory, proportional harvesting, heterogeneity among species, species abundance distribution, population time series, infinitesimal mean, environmental stochasticity, weak density dependence, log population size, individual dispersal Key Phrases - Capitalized Phrases (CAPs): (learn more)
Mute Swan, Great Tit, Song Sparrow, Grey Heron, Blue Tit, Soay Sheep, Amazonian Ecuador, Barn Swallow, Wytham Wood, Engure Marsh, Precautionary Principle, Red Lists, Time Fig, Tufted Duck, Analysis of Variance, Conservation International, Hirta Island, Lower Saxony, Norwegian Brown Bear, Seychelles Warbler, Northern Spotted Owl, Pied Flycatcher Ficedula New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
6
books
cite this book:
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- The Theoretical Biologist's Toolbox: Quantitative Methods for Ecology and Evolutionary Biology by Marc Mangel in Back Matter
- Animal Signals (Ecology and Evolution) by John Maynard-Smith in Front Matter
- Animal Signals (Oxford Series in Ecology and Evolution) by John Maynard-Smith in Front Matter
- Introduction to Modeling in Wildlife and Resource Conservation by Norman Owen-Smith in Back Matter
- Conservation of Wildlife Populations: Demography, Genetics and Management by L. Scott Mills in Back Matter
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