Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS: Volume 1:Prelude and Static Models

Academic Press
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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.

  • Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detection
  • Presents models and methods for identifying unmarked individuals and species
  • Written in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analyses
  • Includes companion website containing data sets, code, solutions to exercises, and further information
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About the author

Dr Kery is a Population Ecologist with the Swiss Ornithological Institute and a courtesy professor ("Privatdozent") at the University of Zürich/Switzerland, from where he received his PhD in Ecology in 2000. He is an expert in the estimation and modeling of abundance, distribution and species richness in "metapopulation designs" (i.e., collections of replicate sites). For most of his work, he uses the Bayesian model fitting software BUGS and JAGS, about which he has published two books with Academic Press (2010 and 2012). He has authored/coauthored 70 peer-reviewed articles and four book chapters. Since 2007, and for a total of 103 days, he has taught 23 statistical modeling workshops about the methods in the proposed book at research institutes and universities all over the world.

Dr Royle is currently a 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.

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Additional Information

Publisher
Academic Press
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Published on
Nov 14, 2015
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Pages
808
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ISBN
9780128014868
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Language
English
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Genres
Science / Environmental Science
Science / Life Sciences / Ecology
Technology & Engineering / Agriculture / Animal Husbandry
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Content Protection
This content is DRM protected.
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Available on Android devices
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Eligible for Family Library

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The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures.
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* occurrence or occupancy models for estimating species distribution
* abundance models based on many sampling protocols, including distance sampling
* capture-recapture models with individual effects
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* models of biodiversity, community structure and dynamics

* Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants)

* Development of classical, likelihood-based procedures for inference, as well as
Bayesian methods of analysis

* Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS

* Computing support in technical appendices in an online companion web site
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The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures.
The authors apply principles of hierarchical modeling to ecological problems, including

* occurrence or occupancy models for estimating species distribution
* abundance models based on many sampling protocols, including distance sampling
* capture-recapture models with individual effects
* spatial capture-recapture models based on camera trapping and related methods
* population and metapopulation dynamic models
* models of biodiversity, community structure and dynamics

* Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants)

* Development of classical, likelihood-based procedures for inference, as well as
Bayesian methods of analysis

* Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS

* Computing support in technical appendices in an online companion web site
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