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

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Yes, you can access Occupancy Estimation and Modeling by Darryl I. MacKenzie,James D. Nichols,J. Andrew Royle,Kenneth H. Pollock,Larissa Bailey,James E. Hines in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.

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eBook ISBN

Topic

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Index

Front cover
Title page
Copyright page
Table of Contents
Preface
Acknowledgments
CHAPTER 1: Introduction
CHAPTER 2: Occupancy in Ecological Investigations
CHAPTER 3: Fundamental Principles of Statistical Inference
CHAPTER 4: Single-species, Single-season Occupancy Models
CHAPTER 5: Single-species, Single-season Models with Heterogeneous Detection Probabilities
CHAPTER 6: Design of Single-season Occupancy Studies
CHAPTER 7: Single-species, Multiple-season Occupancy Models
CHAPTER 8: Occupancy Data for Multiple Species: Species Interactions
CHAPTER 9: Occupancy in Community-level Studies
CHAPTER 10: Future Directions
APPENDIX: Some Important Mathematical Concepts
References
Index

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Table of contents