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English
Academic Press Inc
17 November 2005
Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy-related parameters while allowing for imperfect detectability, and make recommendations for designing studies using these models.

By:   , , , , , , , , , , , , , , , , , ,
Imprint:   Academic Press Inc
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 151mm,  Spine: 24mm
Weight:   680g
ISBN:   9780120887668
ISBN 10:   0120887665
Pages:   344
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Replaced By:   9780128146910
Format:   Hardback
Publisher's Status:   Active
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 of Single-Season Occupancy Studies Ch. 7: Single-species, Multiple-seasons Occupancy Models Ch. 8: Occupancy Data for Multiple Species: Species Interactions Ch. 9: Occupancy in Community Level Studies Ch.10: Future Directions References Index

James Nichols received a B.S. in Biology from Wake Forest Univ., M.S. in Wildlife Management from Louisiana State Univ., and Ph.D. in Wildlife Ecology from Michigan State Univ. He has spent his entire research career at Patuxent Wildlife Research Center working for the U.S. Fish and Wildlife Service, the National Biological Service, and now the U.S. Geological Survey. He is currently a Senior Scientist at Patuxent. His research interests focus on the dynamics and management of animal populations and on methods for estimating population parameters.

Reviews for Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

MacKenzie et al. write clearly and make sensible points that are illustrated with excellent case studies and figures... --Erica Fleishman, Stanford University, Department of Biological Sciences, for ECOLOGY


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