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Stochastic Population Dynamics in Ecology and Conservation
Abstract
All populations fluctuate stochastically, creating a risk of extinction that does not exist in deterministic models, with fundamental consequences for both pure and applied ecology. This book provides an introduction to stochastic population dynamics, combining classical background material with a variety of modern approaches, including previously unpublished results by the authors, illustrated with examples from bird and mammal populations, and insect communities. Demographic and environmental stochasticity are introduced with statistical methods for estimating them from field data. The long-run growth rate of a population is explained and extended to include age structure with both demographic and environmental stochasticity. Diffusion approximations facilitate the analysis of extinction dynamics and the duration of the final decline. Methods are developed for estimating delayed density dependence from population time series using life history data. Metapopulation viability and the spatial scale of population fluctuations and extinction risk are analyzed. Stochastic dynamics and statistical uncertainty in population parameters are incorporated in Population Viability Analysis and strategies for 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 additive components. Analysis of the stochastic dynamics of a tropical butterfly community in space and time indicates that most of the variance in the species abundance distribution is due to ecological heterogeneity among species, so that real communities are far from neutral.
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Cited by
Synergies among extinction drivers under global change
BROOK, B., SODHI, N., & BRADSHAW, C. (2008) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2008.03.011 · Cited by 2,031
Biodiversity and ecosystem stability: a synthesis of underlying mechanisms
Loreau, M., & de Mazancourt, C. (2013) · Ecology Letters · doi:10.1111/ele.12073 · Cited by 1,308
Ecological models and data in R
Bolker, B. M. (2008) · doi:10.2307/j.ctvcm4g37 · Cited by 1,297
Parameter estimation for differential equations: a generalized smoothing approach
Ramsay, J. O., Hooker, G., Campbell, D., & Cao, J. (2007) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2007.00610.x · Cited by 613
The Causes and Consequences of Compensatory Dynamics in Ecological Communities
Gonzalez, A., & Loreau, M. (2009) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.39.110707.173349 · Cited by 537
Realistic levels of inbreeding depression strongly affect extinction risk in wild populations
O’Grady, J. J., Brook, B. W., Reed, D. H., Ballou, J. D., Tonkyn, D. W., & Frankham, R. (2006) · Biological Conservation · doi:10.1016/j.biocon.2006.05.016 · Cited by 498
Predicting ecosystem stability from community composition and biodiversity
de Mazancourt, C., Isbell, F., Larocque, A., Berendse, F., De Luca, E., Grace, J. B., Haegeman, B., Wayne Polley, H., Roscher, C., Schmid, B., et al. (2013) · Ecology Letters · doi:10.1111/ele.12088 · Cited by 382
Unravelling the structure of species extinction risk for predictive conservation science
Lee, T. M., & Jetz, W. (2011) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2010.1877 · Cited by 248
Influence of harvest, climate and wolf predation on Yellowstone elk, 1961-2004
Vucetich, J. A., Smith, D. W., & Stahler, D. R. (2005) · Oikos · doi:10.1111/j.0030-1299.2005.14180.x · Cited by 222
PEARCE‐HIGGINS, J. W., DENNIS, P., WHITTINGHAM, M. J., & YALDEN, D. W. (2010) · Global Change Biology · doi:10.1111/j.1365-2486.2009.01883.x · Cited by 147
Extinction cascades and catastrophe in ancient food webs
Roopnarine, P. D. (2006) · Paleobiology · doi:10.1666/05008.1 · Cited by 109
Faisal, A., Dondelinger, F., Husmeier, D., & Beale, C. M. (2010) · Ecological Informatics · doi:10.1016/j.ecoinf.2010.06.005 · Cited by 61
Kramer, K. L., Schacht, R., & Bell, A. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0316 · Cited by 54
Invader or resident? Ancient-DNA reveals rapid species turnover in New Zealand little penguins
Grosser, S., Rawlence, N. J., Anderson, C. N. K., Smith, I. W. G., Scofield, R. P., & Waters, J. M. (2016) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2015.2879 · Cited by 37
Grear, J., O’Leary, C., Nye, J., Tettelbach, S., & Gobler, C. (2020) · Marine Ecology Progress Series · doi:10.3354/meps13140 · Cited by 24
Metadata
- Authors
- Lande, R., Engen, S., & Saether, B.-E.
- Venue
- Oxford University Press eBooks
- Publisher
- Oxford University Press
- Published
- 2003-04-03
- OpenAlex
- W638910688
- Cited by
- 1,611
- References
- 0
- FWCI
- 66.58
- Type
- book
- Language
- en
- Open access
- closed
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