Handbook of Capture-Recapture Analysis
  1. 336 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

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.

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Yes, you can access Handbook of Capture-Recapture Analysis by Steven C. Amstrup, Trent L. McDonald, Bryan F. J. Manly, Steven C. Amstrup,Trent L. McDonald,Bryan F. J. Manly, Steven Amstrup, Trent McDonald, Bryan Manly in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Index

age, 272–73
age 0 cohort models, 105–6
age-dependent models, 46–47
age-specific breeding models, 106–7
conditional multiple-age models, 102–7
conditional single-age models, 89–102
Agresti, A., 71–72
Akaike, H., 18, 92, 98
Akaike’s information criterion (AIC), 18, 47–48, 60, 72, 102, 229
Arnason-Schwarz model, 171
closed-population models, 267
conditional single-age models, 92, 98
Cormack-Jolly-Seber model, 53, 224, 236, 240, 268
covariates, 224
goodness-of-fit, 271–72
multistate models, 165
polar bears, 249
quasi, 99–100, 236, 249
reduced-parameter models, 92
tag-recovery models, 127, 139, 163
weighting of, 100
Alexander, H. M., 72
Alho, J. M., 72, 111
Allen, D. M., 130
Alpizar-Jara, Russell, 5–6, 36–57, 267–68, 301
Alt, G. L., 161
American alligator, 48–51
Amstrup, Steven C., 1–21, 301
model examples, 196–264
open-population models, 111
practical methods, 266–73
Andersen, P. K., 85
Anderson, D. R., 8, 18, 171, 254
closed-population models, 79, 84
open-population models, 92, 98–100
tag-recovery models, 131–32, 145
Arnason, A. N., 8, 198
multistate models, 166, 183, 192
open-population models, 38, 43–44, 109, 111–12
Arnason-Schwarz model, 187–88, 195
AIC, 171
Bayesian methods, 171
breeder recruitment, 175, 177
Canadian geese, 166–67, 172–76
contingency test for, 170
Cormack-Jolly-Seber model, 167–71, 175
data collection, 167–69
dead recoveries, 175
experimental protocol of, 167–69
goodness-of-fi...

Table of contents

  1. Cover
  2. Halftitle
  3. Title
  4. Copyright
  5. Contents
  6. List of Illustrations
  7. List of Tables
  8. Preface
  9. One Introduction to the Handbook Bryan F. J. Manly, Trent L. McDonald, and Steven C. Amstrup
  10. Two Classical Closed-population Capture–Recapture Models Anne Chao and Richard M. Huggins
  11. Three Classical Open-population Capture–Recapture Models Kenneth H. Pollock and Russell Alpizar-Jara
  12. Four Modern Closed-population Capture–Recapture Models Anne Chao and Richard M. Huggins
  13. Five Modern Open-population Capture–Recapture Models James D. Nichols
  14. Six Tag-recovery Models John M. Hoenig, Kenneth H. Pollock, and William Hearn
  15. Seven Joint Modeling of Tag-recovery and Live-resighting Data Richard J. Barker
  16. Eight Multistate Models Carl J. Schwarz
  17. Nine Examples Trent L. McDonald, Steven C. Amstrup, Eric V. Regehr, and Bryan F. J. Manly
  18. Ten Capture–Recapture Methods in Practice Bryan F. J. Manly, Steven C. Amstrup, and Trent L. McDonald
  19. Appendix
  20. References
  21. Contributor’s Notes
  22. Index