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Newman, Ken; Buckland, Stephen T.; Morgan, Byron; Cole, Diana; Gimenez, Olivier - Modelling Population Dynamics - 9781493951628 - V9781493951628
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Modelling Population Dynamics

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Description for Modelling Population Dynamics Paperback. Series: Methods in Statistical Ecology. Num Pages: 227 pages, 17 black & white illustrations, 21 colour illustrations, 10 black & white tables, biograp. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 12. Weight in Grams: 355.

This book gives a unifying framework for estimating the abundance of open populations: populations subject to births, deaths and movement, given imperfect measurements or samples of the populations. The focus is primarily on populations of vertebrates for which dynamics are typically modelled within the framework of an annual cycle, and for which stochastic variability in the demographic processes is usually modest. Discrete-time models are developed in which animals can be assigned to discrete states such as age class, gender, maturity,  population (within a metapopulation), or species (for multi-species models).

The book goes well beyond estimation of abundance, allowing inference on underlying population ... Read more

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Product Details

Format
Paperback
Publication date
2016
Publisher
Springer-Verlag New York Inc. United States
Number of pages
227
Condition
New
Series
Methods in Statistical Ecology
Number of Pages
215
Place of Publication
New York, United States
ISBN
9781493951628
SKU
V9781493951628
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Newman, Ken; Buckland, Stephen T.; Morgan, Byron; Cole, Diana; Gimenez, Olivier
Ken Newman is a mathematical statistician for the United States Fish and Wildlife Service. His primary research interest is in the use of state-space models to model the population dynamics of fish and wildlife to answer scientific questions and to serve as management decision support tools. Stephen Buckland is Professor of Statistics at the University of St Andrews, and ... Read more

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