The importance of passive integrated transponder (PIT) tags for measuring life-history traits of sea turtles
Omeyer, LCM; Casale, P; Fuller, WJ; et al.Godley, BJ; Holmes, KE; Snape, RTE; Broderick, AC
Date: 21 November 2019
Journal
Biological Conservation
Publisher
Elsevier
Publisher DOI
Abstract
Capture-mark-recapture studies rely on the identification of individuals through time, using markers or tags,
which are assumed to be retained. This assumption, however, may be violated, having implications for population models. In sea turtles, individual identification is typically based on external flipper tags, which can be
combined ...
Capture-mark-recapture studies rely on the identification of individuals through time, using markers or tags,
which are assumed to be retained. This assumption, however, may be violated, having implications for population models. In sea turtles, individual identification is typically based on external flipper tags, which can be
combined with internal passive integrated transponder (PIT) tags. Despite the extensive use of flipper tags, few
studies have modelled tag loss using continuous functions. Using a 26-year dataset for sympatrically nesting
green (Chelonia mydas) and loggerhead (Caretta caretta) turtles, this study aims to assess how PIT tag use increases the accuracy of estimates of life-history traits. The addition of PIT tags improved female identification:
between 2000 and 2017, 53% of green turtles and 29% of loggerhead turtles were identified from PIT tags alone.
We found flipper and PIT tag losses were best described by decreasing logistic curves with lower asymptotes.
Excluding PIT tags from our dataset led to underestimation of flipper tag loss, reproductive periodicity, reproductive longevity and annual survival, and overestimation of female abundance and recruitment for both
species. This shows the importance of PIT tags in improving the accuracy of estimates of life-history traits. Thus,
estimates where tag loss has not been corrected for should be interpreted with caution and could bias IUCN Red
List assessments. As such, long-term population monitoring programmes should aim to estimate tag loss and
assess the impact of loss on life-history estimates, to provide robust estimates without which population models
and stock assessments cannot be derived accurately
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Except where otherwise noted, this item's licence is described as © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license
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