+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

PRINTER FRIENDLY

Occupancy Estimation and Modeling. Edition No. 2

  • ID: 3744685
  • Book
  • November 2017
  • 648 Pages
  • Elsevier Science and Technology
1 of 3

Occupancy 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

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

Note: Product cover images may vary from those shown
2 of 3

Part I: BACKGROUND AND CONCEPTS 1. Introduction 2. Occupancy Applications 3. Fundamental Principals of Statistical Inference

Part II: SINGLE SPECIES, SINGLE SEASON OCCUPANCY MODELS 4. Basic Presence/absence Situation 5. Beyond Two Occupancy States 6. Extensions to Basic Approaches 7. Modeling Hetergeneous Detection Probabilities

Part III: SINGLE SPECIES, MULTIPLE SEASON OCCUPANCY MODELS 8. Basic Presence/absence Situation 9. More than Two Occupancy States 10. Further Topics

Part IV: STUDY DESIGN 11. Design of Single-season Occupancy Studies 12. Multiple Season Study Design

Part V: ADVANCED TOPICS 13. Integrated Modeling of Habitat and Occupancy Dynamics 14. Species Co-occurrence 15. Occupancy in Community-level Studies 16. Final Comments

Note: Product cover images may vary from those shown
3 of 3
MacKenzie, Darryl I.
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.
Nichols, James D.
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.
Royle, J. Andrew
Dr Royle is currently a 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.
Pollock, Kenneth H.
Bailey, Larissa
Hines, James E.
Note: Product cover images may vary from those shown
Adroll
adroll