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Estimating survival of the shortfin mako Isurus oxyrinchus (Rafinesque) in the north‐west Atlantic from tag‐recapture data

A. D. Wood; J. S. Collie; N. E. Kohler
Journal of Fish Biology · Vol. 71, Issue 6 · pp. 1679-1695 · 2007

Abstract

Survival was estimated for shortfin mako Isurus oxyrinchus in the north‐west Atlantic from tag‐recapture data. The data used in this study were collected by the National Marine Fisheries Service Cooperative Shark Tagging Programme from 1962 to 2003. In total, 6309 shortfin mako sharks were tagged, of which 730 were recaptured. The high recapture rate of 11·6% for this species provided adequate recapture data to carry out survival analyses. Estimates of survival were generated with the computer software MARK, which provided a means for estimating parameters from tagged animals when they were recaptured. The results of several models are presented with various combinations of constant and time‐specific survival and recovery rates. A parametric bootstrap and the median variance inflation factor ( ) approach were used to test the fit of the general model to the data. The estimated indicated a very good model fit. The models with time invariant survival rate had the most support from the data and no group or time period effects were found. Recovery rate ( f ) appeared to increase from 0·043 in the early years to 0·056 in the later years. The nominal survival rate of 0·59 year −1 was adjusted with an estimated tag‐shedding rate of 0·26 year −1 to generate a final corrected annual survival estimate of 0·79 with a 95% CI of 0·71–0·87.

Bibliographic Information

JournalJournal of Fish Biology
PublisherWiley
Publication Date2007-12-01
Publication Year2007
Volume71
Issue6
Pages1679-1695
Document TypeJournal Article
Print ISSN0022-1112
eISSN1095-8649
DOI10.1111/j.1095-8649.2007.01634.x
SubjectGeneral Aquaculture, Fisheries & Fish Science

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/10958649
Publisher PageOpen Publisher Page
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