Handbook of Capture-Recapture Analysis ：Handbook of Capture-Recapture Analysis

Publication subTitle ：Handbook of Capture-Recapture Analysis

Author： Amstrup Steven C.;McDonald Trent L.;Manly Bryan F. J.;

Publication year： 2010

E-ISBN: 9781400837717

P-ISBN(Paperback): 9780691089676

Subject： O Mathematical Sciences and Chemical;O211 probability (probability theory, probability theory);Q1 General Biology;Q14 Biological Ecology (Ecology);Q95 Zoology

Keyword：动物学,普通生物学,数理科学和化学

Language： ENG

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Description

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.

Chapter

Cover

Contents

List of Illustrations

List of Tables

Preface

One: Introduction to the Handbook

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

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

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

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

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

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

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

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

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

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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