Integrated Population Models

Theory and Ecological Applications with R and JAGS

By: Schaub, Kery

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16 November 2021 | Edition Number 1

At a Glance

No. of Pages
638

Dimensions(cm)
22.4 x 28.6 x 4.0

RRP $258.95

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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.

Offers practical and accessible ecological applications of IPMs (integrated population models)
Provides full documentation of analyzed code in the Bayesian framework
Written and structured for an easy approach to the subject, especially for non-statisticians

Industry Reviews

"This book represents the fourth in a series involving one or both of these authors. Their volumes all provide the theory underpinning the models, a heuristic description of the models, and R code for implementing them. Their books and accompanying workshops are fueling a rapid shift in the approach to analyses of ecological data. This newest work will move population ecology fully into the Bayesian paradigm. Every important advance in methodology is, however, a double-edged sword; with the increased analytical power comes an increase in the number and magnitude of potential errors. Integrated population models are no exception. Schaub and Kery address many of these potential problems but they could have been a bit stronger in emphasizing the importance of such problems. Despite this minor criticism, this is an important volume that will revolutionize the practice of population ecology. Every population ecologist should own a copy." --The Quarterly Review of Biology

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