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Handbook of Capture-Recapture Analysis - Steven C. Amstrup

Handbook of Capture-Recapture Analysis

By: Steven C. Amstrup (Editor), Trent L. McDonald (Editor), Bryan F. J. Manly (Editor)

Paperback

Published: 20th November 2005
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Every day, biologists in parkas, raincoats, and rubber boots go into the field to capture and mark a variety of animal species. Back in the office, statisticians create analytical models for the field biologists' data. But many times, representatives of the two professions do not fully understand one another's roles. This book bridges this gap by helping biologists understand state-of-the-art statistical methods for analyzing capture-recapture data. In so doing, statisticians will also become more familiar with the design of field studies and with the real-life issues facing biologists.

Reliable outcomes of capture-recapture studies are vital to answering key ecological questions. Is the population increasing or decreasing? Do more or fewer animals have a particular characteristic? In answering these questions, biologists cannot hope to capture and mark entire populations. And frequently, the populations change unpredictably during a study. Thus, increasingly sophisticated models have been employed to convert data into answers to ecological questions. This book, by experts in capture-recapture analysis, introduces the most up-to-date methods for data analysis while explaining the theory behind those methods. Thorough, concise, and portable, it will be immensely useful to biologists, biometricians, and statisticians, students in both fields, and anyone else engaged in the capture-recapture process.

Winner of the 2007 Wildlife Publications Award in the Outstanding Edited Book Category, The Wildlife Society "This is a good book for anyone with a basic understanding of capture-recapture models who wants to develop their knowledge and apply these techniques to their own data. Exactly what a handbook should be!"--Laura Cowen, Quarterly Review of Biology "The editors have done an admirable job in trying to make complex capture-recapture models accessible to a greater range of field-based ecologists."--David Wilson, Austral Ecology "The capture, tagging, and subsequent recapture of animals, birds, and fish is the field biologists most important tool for enumerating and quantifying the status of wild populations. This mark-recapture data must be subjected to sophisticated statistical analyses back in the office, and there can be a disconnect between those who do the field work and those who do the analyses. This text, written by authors with expertise in the field and in the office, successfully bridges that gap. This handbook will be immediately useful to ecologists, biologists, and statisticians."--Northeastern Naturalist

List of Illustrationsp. ix
List of Tablesp. xi
Prefacep. xvii
Introduction to the Handbookp. 1
Introductionp. 1
Overview of chapters 2 to8p. 3
Maximum Likelihood with Capture-Recapture Methodsp. 9
Model Selection Proceduresp. 17
Notationp. 19
Classical Closed-population Capture-Recapture Modelsp. 22
Introductionp. 22
Structure of Capture-Recapture Experiments and Datap. 23
Early Models and Estimatorsp. 26
Limitations of Early Models and the Motivation for More General Modelsp. 34
Chapter Summaryp. 35
Classical Open-population Capture-Recapture Modelsp. 36
Introductionp. 36
The Original Jolly-Seber Modelp. 38
The Jolly-Seber Likelihood Componentsp. 44
Restrictions and Generalizations of the Jolly-Seber Modelp. 45
Age-dependent Modelsp. 46
Goodness-of-Fit and Model Selection Issuesp. 47
Examplesp. 48
Conclusionsp. 55
Chapter Summaryp. 55
Modern Closed-population Capture-Recapture Modelsp. 58
Introductionp. 58
Discrete-time Models with Unequal Catchabilitiesp. 58
Continuous-time Modelsp. 78
Computing Considerationsp. 85
Chapter Summaryp. 86
Modern Open-population Capture-Recapture Modelsp. 88
Introductionp. 88
Conditional Single-age Modelsp. 89
Conditional Multiple-age Modelsp. 102
Reverse-time Modelsp. 107
Unconditional Modelsp. 109
The Robust Designp. 116
Discussionp. 120
Chapter Summaryp. 121
Tag-recovery Modelsp. 124
Introductionp. 124
Assumptions of Brownie Modelsp. 128
Interpretation of the Tag-recovery Rate Parameterp. 128
Functional Linkage Between the Exploitation Rate and the Survival Ratep. 131
Instantaneous Rate Models for Estimating Harvest and Natural Mortalityp. 131
Diagnostics and Tests of Assumptionsp. 132
Preventing and Dealing with Failures of Assumptionsp. 134
Chapter Summaryp. 140
Joint Modeling of Tag-recovery and Live-resighting Datap. 142
Introductionp. 142
Data Structurep. 144
Simple Modelsp. 145
More General Modelsp. 156
Model Fitting and Assessmentp. 157
Tag Misreads and Tag Lossp. 161
Computing Considerationsp. 161
Chapter Summaryp. 163
Multistate Modelsp. 165
Introductionp. 165
The Arnason-Schwarz Modelp. 166
The Jolly-Seber Approachp. 177
Multisample Stratified Closed Populationsp. 187
Multisample Stratified Open Populationsp. 192
Chapter Summaryp. 194
Examplesp. 194
Introductionp. 196
Open-population Analyses of Data on the European Dipperp. 198
The Huggins Closed-population Model Applied to the European Dipper Datap. 231
Assessing Goodness-of-Fitp. 236
Horvitz-Thompson Open-population Size Estimatesp. 241
A Multistate (Multistrata) Modelp. 245
Polar Bears in the Southern Beaufort Seap. 247
Dead Recoveries of Mallard Ducksp. 254
Chapter Summaryp. 263
Capture-Recapture Methods in Practicep. 10
Introductionp. 266
Closed-population Modelsp. 266
Open-population Modelsp. 267
Tag-recovery Modelsp. 269
Other Modelsp. 270
Model Selectionp. 271
Known Agesp. 272
Appendixp. 275
Capability Matrix for Common Capture-Recapture Software Packagesp. 275
General and Contact Information for Commo
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780691089683
ISBN-10: 069108968X
Audience: Tertiary; University or College
Format: Paperback
Language: English
Number Of Pages: 336
Published: 20th November 2005
Publisher: Princeton University Press
Country of Publication: US
Dimensions (cm): 23.5 x 15.2  x 2.24
Weight (kg): 0.45