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Occupancy Estimation and Modeling
Inferring Patterns and Dynamics of Species Occurrence
- 2nd Edition - November 13, 2017
- Authors: Darryl I. MacKenzie, James D. Nichols, J. Andrew Royle, Kenneth H. Pollock, Larissa Bailey, James E. Hines
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 4 6 9 1 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 4 0 7 2 4 5 - 9
Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-… Read more
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Request a sales quoteOccupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of extensions that have been developed since the early 2000s. This provides an improved insight about species and community ecology, including, detection heterogeneity; correlated detections; spatial autocorrelation; multiple states or classes of occupancy; changes in occupancy over time; species co-occurrence; community-level modeling, and more.
Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition has been greatly expanded and detail is provided regarding the estimation methods and examples of their application are given. Important study design recommendations are also covered to give a well rounded view of modeling.
- Provides authoritative insights into the latest in occupancy modeling
- Examines the latest methods in analyzing detection/no detection data surveys
- Addresses critical issues of imperfect detectability and its effects on species occurrence estimation
- Discusses important study design considerations such as defining sample units, sample size determination and optimal effort allocation
Ecologists, population animal researchers, biologists, and graduate students in related areas
Part I: BACKGROUND AND CONCEPTS1. Introduction2. Occupancy Applications3. Fundamental Principals of Statistical Inference
Part II: SINGLE SPECIES, SINGLE SEASON OCCUPANCY MODELS4. Basic Presence/absence Situation5. Beyond Two Occupancy States6. Extensions to Basic Approaches7. Modeling Hetergeneous Detection Probabilities
Part III: SINGLE SPECIES, MULTIPLE SEASON OCCUPANCY MODELS8. Basic Presence/absence Situation9. More than Two Occupancy States10. Further Topics
Part IV: STUDY DESIGN11. Design of Single-season Occupancy Studies12. Multiple Season Study Design
Part V: ADVANCED TOPICS13. Integrated Modeling of Habitat and Occupancy Dynamics14. Species Co-occurrence15. Occupancy in Community-level Studies16. Final Comments
- No. of pages: 648
- Language: English
- Edition: 2
- Published: November 13, 2017
- Imprint: Academic Press
- Paperback ISBN: 9780128146910
- eBook ISBN: 9780124072459
DM
Darryl I. MacKenzie
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.
Affiliations and expertise
Proteus Research and Consulting, Dunedin, New ZealandJN
James D. Nichols
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.
Affiliations and expertise
U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USAJR
J. Andrew Royle
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.
Affiliations and expertise
Research Statistician, U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USAKP
Kenneth H. Pollock
Affiliations and expertise
North Carolina State University, Department of Zoology, Raleigh, NC, USALB
Larissa Bailey
Affiliations and expertise
Colorado State University, USAJH
James E. Hines
Affiliations and expertise
U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USARead Occupancy Estimation and Modeling on ScienceDirect