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Hierarchical Modeling and Inference in Ecology
 
 

Hierarchical Modeling and Inference in Ecology, 1st Edition

The Analysis of Data from Populations, Metapopulations and Communities

 
Hierarchical Modeling and Inference in Ecology, 1st Edition,J. Royle,Robert Dorazio,ISBN9780123740977
 
 
 

  &      

Academic Press

9780123740977

9780080559254

464

235 X 191

A guide to data collection and modelling and inference strategies for biological survey data

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Key Features

* 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

Description

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods.

This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems.

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

Readership

Post-graduate research biologists in ecology and population dynamics and field surveys - engaged in field data collection and modelling for all practical and theoretical applications; Biostatisticians

J. Royle

Affiliations and Expertise

U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USA

View additional works by J. Andrew Royle

Robert Dorazio

Affiliations and Expertise

USGS Florida Integrated Science Center and Department of Statistics, University of Florida, Gainesville, FL , USA

Hierarchical Modeling and Inference in Ecology, 1st Edition

Introduction; Site-occupancy models; Closed population models; Modelling individual effects in closed populations; Abundance as a state variable; Abundance as a state variable; Dynamic site occupancy models; Cormack-Jolly-Seber models; Jolly-Seber models; Animal community models; Occupancy models with spatial dynamics; Open models for animal communities; Temporaly dynamic models for abundance; Other potential topics; Statistical concepts and philosophy; Appendices (online or in text)
Appendix1: R-tutorial, Sample R-functions for implementing several methods
Appendix2: WinBUGS tutorial and R2WinBUGS package
Appendix3:Sample WinBUGS and R-scripts for examples used in book

 
 
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