Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS

Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This book explains all models/procedures in the context of hierarchical models which collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields. Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detectionPresents models and methods for identifying unmarked individuals and speciesWritten in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analysesIncludes companion website containing data sets, code, solutions to exercises, and further information INDICE: 1. Introduction to distribution, abundance and species richness in ecology 2. Introduction to hierarchical models 3. Analysis of hierarchical models (frequentist and Bayesian) 4. Modeling static abundance using the (binomial) N-mixture model 5. Modeling static abundance using multinomial N-mixture models 6. Distance sampling 1. Hierarchical Distance Sampling 7. Distance sampling 2. Advanced HDS. 8. Modeling static distribution and occurrence using site-occupancy models 9. Modeling presence-only data 10. Modeling static (meta-)communities using multi-species occupancy (Dorazio-Royle) models 11. Multi-species abundance models 12. Modeling abundance in open populations 13. Modeling species distribution and range dynamics using dynamic occupancy models 14. Modeling (meta-)community dynamics using dynamic multi-species occupancy models 15. Multi-state models 16. Spatial models 17. Combination approaches / Integrated models 18. Metapopulation models for capture-recapture data 19. Miscellaneous topics 20. Conclusions

• ISBN: 978-0-12-801378-6
• Editorial: Academic Press
• Encuadernacion: Cartoné
• Páginas: 704
• Fecha Publicación: 01/10/2015
• Nº Volúmenes: 1
• Idioma: Inglés