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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
Introduction
THEORY OF INTEGRATED POPULATION MODELS
Bayesian Statistical Modeling Using JAGS
Introduction to Stage-Structured Population Models
Components of Integrated Population
Introduction to Integrated Population Models CHAPTER 6 Benefits of Integrated Population Assessment of Integrated Population
Integrated Population Models With Density Dependence
Retrospective Population Analyses
Population Viability Analysis
INTEGRATED POPULATION MODELS IN PRACTICE
Woodchat Shrike
Peregrine Falcon
Horseshoe
Hoopoe
Black
Barn Swallow
Elk
Cormorant
Gray Catbird
Kestrel
Black Bear
Conclusions