Book Cover
E-book
Author Royle, J. Andrew

Title Hierarchical modeling and inference in ecology : the analysis of data from populations, metapopulations and communities / J. Andrew Royle and Robert M. Dorazio
Edition 1st ed
Published Amsterdam ; Boston : Academic, 2008

Copies

Description 1 online resource (xviii, 444 pages, 8 unnumbered pages of plates) : illustrations (some color), maps (some color)
Contents 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
Summary 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 * 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
Bibliography Includes bibliographical references (pages 417-437) and index
Notes English
Print version record
Subject Spatial ecology -- Mathematical models
Spatial ecology -- Computer simulation
SCIENCE -- Environmental Science (see also Chemistry -- Environmental)
NATURE -- Ecosystems & Habitats -- Wilderness.
NATURE -- Ecology.
SCIENCE -- Life Sciences -- Ecology.
Spatial ecology -- Mathematical models.
Form Electronic book
Author Dorazio, Robert M
ISBN 9780123740977
0123740975
9780080559254
0080559255
1281762423
9781281762429
9786611762421
6611762426