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.
Part I: Theory of Integrated Population Models
2. Basics of Bayesian Modeling
3. Introduction to Stage-Structured Population Models
4. Components of Integrated Population Models
5. Introduction to Integrated Population Models
6. Benefits of Integrated Population Modeling
7. Assessment of Integrated Population Models
8. Integrated Population Models with Density-Dependence
9. Retrospective Population Analyses
10. Population Viability Analyses
Part II: Integrated Population Models in Practice
11. Woodchat Shrike
12. Peregrine Falcon
13. Greater Horseshoe Bat
15. Black Grouse
16. Barn Swallow
19. Grey Catbird
21. Black Bear
Michael Schaub is the Head of the Ecology Department at the Swiss Ornithological Institute and a courtesy Professor at the University of Bern. His research interests include population dynamics, capture-recapture models, integrated population models, and migratory birds. He has co-authored approximately 130 peer-reviewed journal publications and the book Bayesian Population Analysis using WinBUGS.
Marc Kéry is a population ecologist with the Swiss Ornithological Institute and a courtesy professor at the University of Zürich. He is an expert in the estimation and modelling of abundance, distribution and species richness in animal and plant populations and has co-authored approximately 100 peer-reviewed articles and four books.