Description
Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS
Volume 2: Dynamic and Advanced Models
Authors: Kéry Marc, Royle J. Andrew
Language: EnglishKeywords
Abundance; Age-structured population model; Asymmetric interaction; Autologistic model; Basis functions; Bioacoustics; CAR model; Citizen science; Colonization; Dail–Madsen model; Dail-Madsen; Data fusion; Density surface models; Detection probability; Directed interaction; Dispersal: spatial DM model; Distribution; Dynamic occupancy model; Extinction; False-positive; False-positive detections; GAM; Generalized additive models; Geostatistical model; GLM; GLMM; Hazard model; Hierarchical distance sampling; Hierarchical model; IM; IPM; JSDM; Machine learning; Misclassification; Occupancy; occupancy; Persistence; Phenology; Population dynamics; Preferential sampling; Range dynamics; Relative abundance; Resource selection; Science-based model; SDM; Spatial autocorrelation; Spatial point process; Species determination; Species distribution model; Species interactions; Stacked data; Stage-structured population model; State-assignment error; State-space model
820 p. · 19x23.3 cm · Hardback
Description
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PART 1 MODELS FOR DYNAMIC SYSTEMS1. Relative Abundance Models for Population Dynamics2. Modeling Population Dynamics With Count Data3. Hierarchical Models of Survival4. Modeling Species Distribution and Range Dynamics, and Population Dynamics Using Dynamic Occupancy Models5. Modeling Metacommunity Dynamics Using Dynamic Community Models
PART 2 ADVANCED MODELS6. Multi-state Occupancy Models7. Modeling False Positives8. Modeling Interactions Among Species9. Spatial Models of Distribution and Abundance10. Integrated Models for Multiple Types of Data11. Spatially Explicit Distance Sampling Along Transects12. Conclusions
graduate students and professionals in ecology, biogeography, conservation biology, fisheries and wildlife management
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.
- 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