Integrated Population Models

Dr. Michael Schaub is a senior scientist and head of the population biology research group at the Swiss Ornithological Institute, and a courtesy professor at the University of Bern, Switzerland.Michael was trained as an animal population ecologist at the universities of Basel and Zürich. After a 1-year postdoc at the Centre National de la Rechereche Scientifique (CNRS) in Montpellier, France, he jointed the Swiss Ornithological Institute. His research interests include population dynamics, capture-recapture models, integrated population models, and migratory birds. He has coauthored approximately 170 peer-reviewed journal publications and the two books on applied Bayesian modeling for ecologists and has taught about 30 week-long workshops all over the world.Dr. Marc Kéry is a senior scientist at the Swiss Ornithological Institute, a non-profit NGO with about 200 employees dedicated primarily to bird research, monitoring, and conservation. Marc was trained as a plant population ecologist at the universities of Basel and Zürich, Switzerland. After a 2-year postdoc at the (then) USGS Patuxent Wildlife Center in Laurel, USA, he moved into animal population ecology and during the last 25 years has worked at the interface between population ecology, biodiversity monitoring, wildlife management, and applied statistics. He has published more than 150 peer-reviewed journal articles and six textbooks on applied statistical modeling. He has taught more than 60 one-week workshops all over the world to biologists and wildlife managers about the concepts and practice of modern statistical analysis in their fields, something which goes together with his books, which target the same audiences.

"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 Kéry 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

• 1. IntroductionPart 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 AnalysesPart 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