Correcting bias in survival estimation resulting from tag failure in acoustic and radiotelemetry studies

  • Richard L. Townsend
  • John R. Skalski
  • Peter Dillingham
  • Tracey W. Steig
Article

Abstract

The high detection rates of acoustic- and radio-tagged fish greatly improve the ability of an investigator to obtain information on survival and movement of fish with fewer tags. The trade-off, though, is a greater dependence on the individual tag performance, as each tagged fish in a smaller study represents a greater proportion of the outcome. This reduction in release size, due to the increase in detection capability, places a greater emphasis on the need to accurately gauge the status of the tagged fish. Should a tag fail while a smolt is migrating through the study area, the release-recapture model cannot discern the difference between smolt death and tag failure. If the release-recapture models are not adjusted for the probability of tag failure, the estimates of smolt survival will therefore be negatively biased. This article presents a semiparametric approach for adjusting survival estimates from release-recapture studies for tag failure, and provides subsequent estimation of sampling variance and its contributing components.

Key Words

Bootstrap Cormack-Jolly-Seber Gompertz distribution Mark-recapture Maximum likelihood Release-recapture 

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Copyright information

© International Biometric Society 2006

Authors and Affiliations

  • Richard L. Townsend
    • 1
  • John R. Skalski
    • 1
  • Peter Dillingham
    • 2
  • Tracey W. Steig
    • 3
  1. 1.School of Aquatic and Fishery SciencesUniversity of WashingtonSeattle
  2. 2.Department of Mathematics and StatisticsUniversity of OtagoDunediNew Zealand
  3. 3.Hydroacoustic Technology, Inc.Seattle

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