2019
DOI: 10.1002/fee.2090
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Determining natal origin for improved management of Atlantic bluefin tuna

Abstract: Effective sustainable management of marine fisheries requires that assessed management units (that is, fish stocks) correspond to biological populations. This issue has long been discussed in the context of Atlantic bluefin tuna (ABFT, Thunnus thynnus) management, which currently considers two unmixed stocks but does not take into account how individuals born in each of the two main spawning grounds (Gulf of Mexico and Mediterranean Sea) mix in feeding aggregations throughout the Atlantic Ocean. Using thousand… Show more

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Cited by 56 publications
(81 citation statements)
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“…1). The genetic analysis was conducted as part of a previous study; the methodology is described fully by Rodríguez-Ezpeleta 34 and is summarised here.…”
Section: Sampling All Samples Were Obtained Under the Provision Of Tmentioning
confidence: 99%
See 3 more Smart Citations
“…1). The genetic analysis was conducted as part of a previous study; the methodology is described fully by Rodríguez-Ezpeleta 34 and is summarised here.…”
Section: Sampling All Samples Were Obtained Under the Provision Of Tmentioning
confidence: 99%
“…A total of 2,081 fish were analysed for otolith core stable isotopes. Of these, 750 were previously analysed using genetic markers 34 . An important objective of the research programme through which the data were generated was to address uncertainty related to stock mixing.…”
Section: Sampling All Samples Were Obtained Under the Provision Of Tmentioning
confidence: 99%
See 2 more Smart Citations
“…Restriction site Associated DNA (RAD) have already proven to be effective in detection of hidden population structure and to better define unclear genetic subdivision and differentiation in fish [1][2][3][4][5][6]. Higher number of markers also increases the chances of detecting genomic regions under selective pressure [2,7,8] allowing the investigation of demographic vs environmental causes of genetic differentiation among populations.…”
Section: Introductionmentioning
confidence: 99%