1
Stochastic Population Dynamics in Ecology and Conservation
Professor Russell Lande, Department of Biology,
University of California San Diego, USA; Professor Steinar Engen, Mathematical
Institute, NTNU Trondheim, Norway and Professor
Bernt-Erik Saether, Zoology
Institute, NTNU Trondheim, Norway.
Peter
Kareiva, Lead Scientist, The Nature
Random
population fluctuations have fundamental consequences in both pure and applied
ecology. This book introduces demographic and environmental stochasticity, and
illustrates statistical methods for estimating them, using field data from bird
and mammal populations and insect communities. The 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. In populations with discrete annual
reproduction, delayed density dependence can be estimated from time series of
adult numbers combined with basic life history data.
The spatial
scale of population fluctuations and local extinction risk depends 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
assessment of biodiversity. Methods are developed for partitioning species
diversity into additive components. Analysis of stochastic community dynamics
in space and time indicates that real communities are far from neutral.
Contents: 1.
Demographic and Environmental Stochasticity; 2. Extinction Dynamics; 3. Age Structure; 4. Spatial Structure; 5. Population
Viability Analysis; 6. Sustainable
Harvesting; 7. Species Diversity; 8. Community Dynamics.
Hardback,
0-19-852524-9, £55.00 £44.00
Paperback, 0-19-852525-7, £27.50 £22.00
20% DISCOUNT book.orders@oup.co.uk
(quote code BES03A)