Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence
Editorial Reviews
Book 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.
* 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
About 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.
Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence,Darryl I. MacKenzie,James D. Nichols,J. Andrew Royle,Kenneth H. Pollock,Larissa L. Bailey,James E. Hines,Academic Press,0120887665,Animal populations,Estimates,Life Sciences - Biology - General,Life Sciences - Ecology,Mathematical models,Nature,Nature / Field Guide Books,Nature/Ecology,Wildlife,Quantity surveying,Technology / Power Resources
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