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by Bryan J. Manly, Trent L. McDonald, Steven C. Amstrup
Handbook of Capture-Recapture Analysis
Cover
Halftitle
Title
Copyright
Contents
List of Illustrations
List of Tables
Preface
One Introduction to the Handbook Bryan F. J. Manly, Trent L. McDonald, and Steven C. Amstrup
1.1 Introduction
1.2 Overview of Chapters 2 to 8
1.3 Maximum Likelihood with Capture–Recapture Methods
1.4 Model Selection Procedures
1.5 Notation
Two Classical Closed-population Capture–Recapture Models Anne Chao and Richard M. Huggins
2.1 Introduction
2.2 Structure of Capture–Recapture Experiments and Data
2.3 Early Models and Estimators
2.4 Limitations of Early Models and the Motivation for More General Models
2.5 Chapter Summary
Three Classical Open-population Capture–Recapture Models Kenneth H. Pollock and Russell Alpizar-Jara
3.1 Introduction
3.2 The Original Jolly-Seber Model
3.3 The Jolly-Seber Likelihood Components
3.4 Restrictions and Generalizations of the Jolly-Seber Model
3.5 Age-dependent Models
3.6 Goodness-of-Fit and Model Selection Issues
3.7 Examples
3.8 Conclusions
3.9 Chapter Summary
Four Modern Closed-population Capture–Recapture Models Anne Chao and Richard M. Huggins
4.1 Introduction
4.2 Discrete-time Models with Unequal Catchabilities
4.3 Continuous-time Models
4.4 Computing Considerations
4.5 Chapter Summary
Five Modern Open-population Capture–Recapture Models James D. Nichols
5.1 Introduction
5.2 Conditional Single-age Models
5.3 Conditional Multiple-age Models
5.4 Reverse-time Models
5.5 Unconditional Models
5.6 The Robust Design
5.7 Discussion
5.8 Chapter Summary
Six Tag-recovery Models John M. Hoenig, Kenneth H. Pollock, and William Hearn
6.1 Introduction
6.2 Assumptions of Brownie Models
6.3 Interpretation of the Tag-recovery Rate Parameter
6.4 Functional Linkage Between the Exploitation Rate and the Survival Rate
6.5 Instantaneous Rate Models for Estimating Harvest and Natural Mortality
6.6 Diagnostics and Tests of Assumptions
6.7 Preventing and Dealing with Failures of Assumptions
6.8 Chapter Summary
Seven Joint Modeling of Tag-recovery and Live-resighting Data Richard J. Barker
7.1 Introduction
7.2 Data Structure
7.3 Simple Models
7.4 More General Models
7.5 Model Fitting and Assessment
7.6 Tag Misreads and Tag Loss
7.7 Computing Considerations
7.8 Chapter Summary
Eight Multistate Models Carl J. Schwarz
8.1 Introduction
8.2 The Arnason-Schwarz Model
8.3 The Jolly-Seber Approach
8.4 Multisample Stratified Closed Populations
8.5 Multisample Stratified Open Populations
8.6 Chapter Summary
Nine Examples Trent L. McDonald, Steven C. Amstrup, Eric V. Regehr, and Bryan F. J. Manly
9.1 Introduction
9.2 Open-population Analyses of Data on the European Dipper
9.3 The Huggins Closed-population Model Applied to the European Dipper Data
9.4 Assessing Goodness-of-Fit
9.5 Horvitz-Thompson Open-population Size Estimates
9.6 A Multistate (Multistrata) Model
9.7 Polar Bears in the Southern Beaufort Sea
9.8 Dead Recoveries of Mallard Ducks
9.9 Chapter Summary
Ten Capture–Recapture Methods in Practice Bryan F. J. Manly, Steven C. Amstrup, and Trent L. McDonald
10.1 Introduction
10.2 Closed-population Models
10.3 Open-population Models
10.4 Tag-recovery Models
10.5 Other Models
10.6 Model Selection
10.7 Known Ages
Appendix
A.1 Capability Matrix for Common Capture–Recapture Software Packages
A.2 General and Contact Information for Common Capture–Recapture Software Packages Listed in Table A.1
References
Contributor’s Notes
Index
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Handbook of Capture–Recapture Analysis
HANDBOOK OF CAPTURE–RECAPTURE ANALYSIS
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