By: Darryl I MacKenzie(Author), James D Nichols(Author), J Andrew Royle(Author), Kenneth H Pollock(Author), Larissa L Bailey(Author), James E Hines(Author)
324 pages, b/w photos, b/w illustrations, tables
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.
"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
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
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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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