Occupancy Estimation and Modeling

Dr. MacKenzie is biometrician for Proteus Wildlife Research Consultants in New Zealand. His main area of expertise is in using occupancy models for monitoring and research. He started working in this area while on a year long stint at Patuxent Wildlife Research Center with Drs William L. Kendall and James D. Nichols during 2000/01. He has acted as a statistical consultant to the Department of Conservation, Ministry of Fisheries and the U.S. Geological Survey. In 2002 Darryl was awarded a prestigious Fast-Start Marsden Grant from the Royal Society of New Zealand for research into optimal study designs for estimating the proportion of area occupied by a target species. 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. Dr Royle is a Senior Scientist and Research Statistician at the U.S. Geological Survey's Patuxent Wildlife Research Center. His research is focused on the application of probability and statistics to ecological problems, especially those related to animal sampling and demographic modeling. Much of his research over the last 10 years has been devoted to the development of methods illustrated in our new book. He has authored or coauthored more than 100 journal articles, and co-authored the books Spatial Capture Recapture, Hierarchical Modeling and Inference in Ecology and Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, all published by Academic Press.

• 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 of Single-Season Occupancy StudiesCh. 7: Single-species, Multiple-seasons Occupancy ModelsCh. 8: Occupancy Data for Multiple Species: Species InteractionsCh. 9: Occupancy in Community Level StudiesCh.10: Future DirectionsReferencesIndex

"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 ECOLOGY