By
Darryl MacKenzie, Proteus Research and Consulting, Dunedin, New Zealand
James Nichols, U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, Maryland, U.S.A.
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
Description
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
