Spatial Capture-Recapture - Royle J. Andrew

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Résumé :
Spatial Capture-Recapture provides a revolutionary extension of traditional capture-recapture methods for studying animal populations using data from live trapping, camera trapping, DNA sampling, acoustic sampling, and related field methods. This book is a conceptual and methodological synthesis of spatial capture-recapture modeling. As a comprehensive how-to manual, this reference contains detailed examples of a wide range of relevant spatial capture-recapture models for inference about population size and spatial and temporal variation in demographic parameters. Practicing field biologists studying animal populations will find this book to be a useful resource, as will graduate students and professionals in ecology, conservation biology, and fisheries and wildlife management. Key features : - Offers comprehensive coverage of revolutionary new methods in ecology - Includes detailed worked examples with R and BUGS code for each methodological element along with software instructions and a companion R package so you can implement analyses and learn by doing - Presents a practical approach, embracing Bayesian and classical inference strategies in order to provide a variety of options to best get the job done.

Biographie:
Dr Royle is a Senior Scientist and Research Statistician at the U.S. Geological Survey's Patuxent Wildlife Research Center. His research is focused on the application of probability and statistics to ecological problems, especially those related to animal sampling and demographic modeling. Much of his research over the last 10 years has been devoted to the development of methods illustrated in our new book. He has authored or coauthored more than 100 journal articles, and co-authored the books Spatial Capture Recapture, Hierarchical Modeling and Inference in Ecology and Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, all published by Academic Press.

Sommaire:

Preface Acknowledgments I. Background and Concepts ???? 1. Introduction ???? 2. Statistical Models and SCR ???? 3. GLMs and Bayesian Analysis ???? 4. Closed Population Models II. Basic SCR Models ???? 5. Fully Spatial Capture-Recapture Models ???? 6. Likelihood Analysis of Spatial Capture-Recapture Models ???? 7. Modeling Variation In Encounter Probability ???? 8. Model Selection and Assessment ???? 9. Alternative Observation Models ???? 10. Sampling Design III. Advanced SCR Models ???? 11. Modeling Spatial Variation in Density ???? 12. Modeling Landscape Connectivity ???? 13. Integrating Resource Selection with Spatial Capture-Recapture Models ???? 14. Stratified Populations: Multi-session and Multi-site Data ???? 15. Models for Search-Encounter Data ???? 16. Open Population Models IV. Super-Advanced SCR Models ???? 17. Developing Markov Chain Monte Carlo Samplers ???? 18. Unmarked Populations ???? 19. Spatial Mark-Resight Models for partially identifiable populations ???? 20. 2012: A Spatial Capture-Recapture Odyssey V. Appendices ???? WinBUGS ???? OpenBUGS ???? JAGS ???? R Bibliography