Modelling population dynamics : model formulation, fitting and assessment using state-space methods
著者
書誌事項
Modelling population dynamics : model formulation, fitting and assessment using state-space methods
（Methods in statistical ecology / series editors, Andrew P. Robinson ... [et al.]）
Springer, c2014
大学図書館所蔵 件 / 全9件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references (p. 201-212) and index
Other editors: S.T. Buckland, B.J.T. Morgan, R. King, D.L. Borchers, D.J. Cole, P. Besbeas, O. Gimenez, L. Thomas
内容説明・目次
内容説明
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.
目次
Introduction.- Matrices as Building Blocks.- State-space Models.- Fitting State-space models.- Model Formulation and Evaluation.- Modelling Population Dynamics Using Closed-population Abundance Estimates.- Estimating Survival Probabilities from Mark-re-encounter Data.- Estimating Abundance from Mark-recapture Data.- Integrated Population Modelling.- Concluding Remarks.
「Nielsen BookData」 より
