Occupancy Estimation and Modeling
Inferring Patterns and Dynamics of Species Occurrence
By- Darryl MacKenzie, Proteus Research and Consulting, Dunedin, New Zealand
- James Nichols, U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, Maryland, USA
- J. Royle, U.S.Geological Survey, Patuxent Wildlife Research Center, Laurel, MD USA
- Kenneth Pollock, North Carolina State University, Department of Zoology, Raleigh, NC USA
- Larissa Bailey, US Geological Survey Patuxent Wildlife Research Center Laurel, Maryland USA
- James Hines, U.S.Geological Survey, Patuxent Wildlife Research Center, Laurel, MD USA
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.
Audience
Ecologists, biologists, graduate students
Hardbound, 344 Pages
Published: November 2005
Imprint: Academic Press
ISBN: 978-0-12-088766-8
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: IntroductionCh. 2: Occupancy in Ecological InvestigationsCh. 3: Fundamental Principles of Statistical InferenceCh. 4: Single-species, Single-season Occupancy ModelsCh. 5: Single-species, Single-season Models with Heterogeneous Detection ProbabilitiesCh. 6: Design Issues for Single-species, Single-season Occupancy ModelsCh. 7: Single-species, Multiple-seasons Occupancy ModelsCh. 8: Examining the Local Species PoolCh. 9: Interspecific Relationships Between SpeciesCh.10: Extensions and Future Work
