9781493909766-1493909762-Modelling Population Dynamics: Model Formulation, Fitting and Assessment using State-Space Methods (Methods in Statistical Ecology)

Modelling Population Dynamics: Model Formulation, Fitting and Assessment using State-Space Methods (Methods in Statistical Ecology)

ISBN-13: 9781493909766
ISBN-10: 1493909762
Edition: 2014
Author: R. King, S. T. Buckland, D. L. Borchers, L. Thomas, K. B. Newman, B. J. T. Morgan, D. J. Cole, P. Besbeas, O. Gimenez
Publication date: 2014
Publisher: Springer
Format: Hardcover 227 pages
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ISBN-13: 9781493909766
ISBN-10: 1493909762
Edition: 2014
Author: R. King, S. T. Buckland, D. L. Borchers, L. Thomas, K. B. Newman, B. J. T. Morgan, D. J. Cole, P. Besbeas, O. Gimenez
Publication date: 2014
Publisher: Springer
Format: Hardcover 227 pages

Summary

Modelling Population Dynamics: Model Formulation, Fitting and Assessment using State-Space Methods (Methods in Statistical Ecology) (ISBN-13: 9781493909766 and ISBN-10: 1493909762), written by authors R. King, S. T. Buckland, D. L. Borchers, L. Thomas, K. B. Newman, B. J. T. Morgan, D. J. Cole, P. Besbeas, O. Gimenez, was published by Springer in 2014. With an overall rating of 4.3 stars, it's a notable title among other Biology (Biological Sciences) books. You can easily purchase or rent Modelling Population Dynamics: Model Formulation, Fitting and Assessment using State-Space Methods (Methods in Statistical Ecology) (Hardcover) from BooksRun, along with many other new and used Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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 processes such as birth or recruitment, survival and movement. This requires the formulation and fitting of population dynamics models. The resulting fitted models yield both estimates of abundance and estimates of parameters characterizing the underlying processes.

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