Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more advanced models currently available. The book explains all procedures in the context of hierarchical models that represent a unified approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a very powerful way of synthesizing data.

• Makes ecological modeling accessible for people who are struggling to use complex or advanced modeling programs
• Synthesizes current ecological models and explains how they are inter-connected
• Contains examples throughout the book, walking the reading through scenarios with both real and simulated data
• Presents an ideal resource for ecologists working in R, an open source version of S known for its exceptional ecology analyses, and in BUGS for more flexible Bayesian analyses

Graduate students and professionals in ecology, biogeography, conservation biology, fisheries and wildlife management

Part 1: Models for dynamic systems
13. Modeling population dynamics without replicate counts within a season
14. Modeling population dynamics with replicate counts within a season
15. Hierarchical models of survival
16. Modeling species distribution and range dynamics using dynamic occupancy models
17. Modeling metacommunity dynamics using dynamic community models

Part 2: Advanced models
18. Multi-state occupancy models
19. Occupancy models with false positives
20. Models for species interactions
21. Spatial models II (static and dynamic autologistic, IFM)
22. Combination approaches / Integrated models
23. Spatial capture-recapture

Part 3: Conclusions
24. Conclusions