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Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS
Volume 1:Prelude and Static Models
A highly accessible new synthesis of the state-of-the-art in applied hierarchical modeling in ecology of distribution, abundance, and species richness, along with detection error, using both classical and Bayesian statistical methods and the free software programs R and BUGS/JAGS.
Marc Kéry (Author), J. Andrew Royle (Author)
9780128013786
Hardback, published 27 November 2015
808 pages, 250 illustrations (250 in full color)
23.4 x 19 x 4.1 cm, 1.81 kg
"For the beginning practitioner of hierarchical models,...this is definitely worth the space and may actually be the first place to start developing a strong fundamental understanding of hierarchical modeling. For more seasoned quantitative ecologists, there are lots of useful modeling details for both the unmarked and BUGS/JAGS syntax,...there is value to having it all in one place. Finally, for professors looking to teach a class or short-course on hierarchical models in ecology,...an excellent text for the course." course." --Journal of Agricultural, Biological, and Environmental Statistics
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 first volume explains static models/procedures in the context of hierarchical models that 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, Volume 1 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.
Preface Part 1: Prelude 1. Distribution, abundance and species richness in ecology 2. What are hierarchical models and how do we analyse them ? 3. Linear models, generalized linear models (GLMs), and random-effects: the components of hierarchical models 4. Introduction to data simulation 5. The Bayesian modeling software BUGS and JAGS Part 2: Models for static systems 6. Modeling abundance using binomial N-mixture models 7. Modeling abundance using multinomial N-mixture models 8. Modeling abundance using hierarchical distance sampling 9. Advanced hierarchical distance sampling 10. Modeling distribution and occurrence using site-occupancy models 11. Community models (incidence- and abundance-based)
Subject Areas: Animal husbandry [TVH], Applied ecology [RNC], The environment [RN]
