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 to people who are struggling to use complex or advanced modeling programs
• Synthesizes current ecological models and explains how they are inter-connected
• Contains numerous examples throughout the book, walking the reading through scenarios with both real and simulated data
• Provides an ideal resource for ecologists working in R software and in BUGS software for more flexible Bayesian analyses

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

PART 1 MODELS FOR DYNAMIC SYSTEMS
1. Relative Abundance Models for Population Dynamics
2. Modeling Population Dynamics With Count Data
3. Hierarchical Models of Survival
4. Modeling Species Distribution and Range Dynamics, and Population Dynamics Using Dynamic Occupancy Models
5. Modeling Metacommunity Dynamics Using Dynamic Community Models

PART 2 ADVANCED MODELS
6. Multi-state Occupancy Models
7. Modeling False Positives
8. Modeling Interactions Among Species
9. Spatial Models of Distribution and Abundance
10. Integrated Models for Multiple Types of Data
11. Spatially Explicit Distance Sampling Along Transects
12. Conclusions