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. * Provides authoritative insights into the latest in estimation modeling * Discusses multiple models which lay the groundwork for future study designs * Addresses critical issues of imperfect detectibility and its effects on estimation * Explores the role of probability in estimating in detail
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"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 ECOLOGYAbout the Author:
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.
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