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Integrated Population Models. Theory and Ecological Applications with R and JAGS

  • Book

  • November 2021
  • Elsevier Science and Technology
  • ID: 5238287
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.

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

Table of Contents

1. Introduction

Part I: Theory of Integrated Population Models2. Basics of Bayesian Modeling3. Introduction to Stage-Structured Population Models4. Components of Integrated Population Models5. Introduction to Integrated Population Models6. Benefits of Integrated Population Modeling7. Assessment of Integrated Population Models8. Integrated Population Models with Density-Dependence9. Retrospective Population Analyses10. Population Viability Analyses

Part II: Integrated Population Models in Practice11. Woodchat Shrike12. Peregrine Falcon13. Greater Horseshoe Bat14. Hoopoe15. Black Grouse16. Barn Swallow17. Elk18. Cormorant19. Grey Catbird20. Kestral21. Black Bear22. Conclusions

Authors

Michael Schaub Head of Ecology, Swiss Ornithological Institute, Sempach, Switzerland. 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 coauthored approximately 130 peer-reviewed journal publications and the book Bayesian Population Analysis using WinBUGS. Marc K�ry Senior Scientist, Swiss Ornithological Institute, Basel, Switzerland. Dr. Marc works as a senior scientist at the Swiss Ornithological Institute, Seerose 1, 6204 Sempach, Switzerland. This is a non-profit NGO with about 160 employees dedicated primarily to bird research, monitoring, and conservation. Marc was trained as a plant population ecologist at the Swiss Universities of Basel and Zuerich. After a 2-year postdoc at the (then) USGS Patuxent Wildlife Center in Laurel, MD. During the last 20 years he has worked at the interface between population ecology, biodiversity monitoring, wildlife management, and statistics. He has published more than 100 peer-reviewed journal articles and five textbooks on applied statistical modeling. He has also been very active in teaching fellow biologists and wildlife managers the concepts and tools of modern statistical analysis in their fields in workshops all over the world, something which goes together with his books, which target the same audiences.