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E-book
Author Schaub, Michael (Ecologist), author.

Title Integrated population models : theory and ecological applications with R and JAGS / Michael Schaub and Marc Kéry
Published London, United Kingdom : Elsevier Academic Press, [2022]
©2022

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Description 1 online resource (1 volume) : chiefly color illustrations
Contents Part 1: Theory of integrated population models: Introduction -- Bayesian statistical modeling using JAGS -- Introduction to stage-structured population models -- Components of integrated population models -- Introduction to integrated population models -- Benefits of integrated population modeling -- Assessment of integrated population models -- Integrated population models with density dependence -- Retrospective population analyses -- Population viability analysis. -- Part 2: Integrated population models in practice: Woodchat shrike -- Peregrine falcon -- Horseshoe bat -- Hoopoe -- Black grouse -- Barn swallow -- Elk -- Cormorant -- Gray catbird -- Kestrel -- Black bear -- Conclusions
Summary Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses
Bibliography Includes bibliographical references (pages 565-592) and index
Notes Print version record
Subject Population -- Data processing
Population -- Mathematical models
Population biology -- Computer simulation
R (Computer program language)
Population biology -- Computer simulation
Population -- Data processing
Population -- Mathematical models
R (Computer program language)
Form Electronic book
Author Kéry, Marc, author.
ISBN 9780128209158
0128209151