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Description

This book examines the latest models for analyzing presence/absence data in occupancy measurement, and explores its importance in accurate population estimation. Using multiple models, the authors address the problem of imperfect detectability, and provide flexible means of analysis to address the issue. It covers practical sampling discussions including presentation of likelihood-based models. It addresses critical issues of imperfect detectibility and its effects on estimation. It provides flexible methods of estimation and analysis.

Reviews

"MacKenzie et al. write clearly and make sensible points that are illustrated with excellent case studies and figures...Estimation and modeling of occupancy patterns of a single species in a single period of population closure ('season') are adressed in detail...worth reading because it builds a strong foundation for models that incorporate data for multiple seasons or multiple species...Ongoing work that formed the basis for Occupancy Estimation and Modeling should help ensure that necessary tools increasingly will be available as people reach out for them." - Erica Fleishman, Stanford University, Department of Biological Sciences, for ECOLOGY

Contents

Ch. 1: Introduction Ch. 2: Occupancy in Ecological Investigations Ch. 3: Fundamental Principles of Statistical Inference Ch. 4: Single-species, Single-season Occupancy Models Ch. 5: Single-species, Single-season Models with Heterogeneous Detection Probabilities Ch. 6: Design Issues for Single-species, Single-season Occupancy Models Ch. 7: Single-species, Multiple-seasons Occupancy Models Ch. 8: Examining the Local Species Pool Ch. 9: Interspecific Relationships Between Species Ch.10: Extensions and Future Work

Additional Information

• Illustrations: Illustrated