MODELING CAPTURE, RECAPTURE, AND REMOVAL STATISTICS FOR ESTIMATION OF DEMOGRAPHIC PARAMETERS FOR FISH AND WILDLIFE POPULATIONS - PAST, PRESENT, AND FUTURE

• 成果类型: Article
• 署名作者: POLLOCK, KH
• 刊物名称: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
• ISSN/ISSBN: 0162-1459
• DOI: 10.2307/2289733
• 发表日期: 1991
• 页码: 225-238
• 关键词: estimating animal abundance; time-specific survival; band reporting rates; probabilities vary; closed population; Robust Estimation; recovery models; mayfield method; nest success; size

摘要

In this article I review the modeling of capture, recapture, and removal statistics for the purpose of estimating demographic parameters of fish and wildlife populations. Topics considered include capture-recapture models, band or tag return models, removal and catch per unit effort models, selective removal or change-in-ratio models, radio-tagging survival models, and nest survival models. The purpose is to present important concepts in a general manner for the benefit of a wide audience of statisticians. I will not attempt to be comprehensive, and I indulge in speculation about future directions. I indicate the importance of different statistical tools to this subject, such as Bayesian inference, boot strapping, robustness studies, goodness-of-fit tests. I also emphasize connections to other application areas of statistics. Capture-recapture methods, for example, are being considered for estimation of a variety of elusive human populations, such as the homeless and people missed in the census. Survival analysis, widely used in medicine and engineering, can also be applied to radio-tagged animals.