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Marine and Coastal Fisheries
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Evaluating the impact of tuna purse-seine fishing under fish aggregating devices and free schools on Little Tunny in the Northeast Atlantic Ocean: Implications using length-based methods

Authors: Komba Jossie Konoyima; Jiangfeng Zhu; Richard Kindong;

Evaluating the impact of tuna purse-seine fishing under fish aggregating devices and free schools on Little Tunny in the Northeast Atlantic Ocean: Implications using length-based methods

Abstract

Abstract Objective Little Tunny Euthynnus alletteratus is a commercially viable species, and its research has been prioritized by the International Commission for the Conservation of Atlantic Tunas. This study aimed to evaluate the stock status of Little Tunny in the Northeast Atlantic Ocean, the effectiveness of the life history priors, and the sensitivity of the model's predicted reference points to prior misspecification. The findings could help reduce uncertainties regarding the state of Little Tunny in the region. Methods We used empirically estimated life history parameters and purse-seine fish aggregating device (FAD) and free school fishing length-frequency data from 2000 to 2021, available in the International Commission for the Conservation of Atlantic Tunas database. We applied the length-based Bayesian biomass (LBB) and length-based spawning potential ratio assessment methods. Result The LBB's outputs indicate that Little Tunny was grossly overfished at the exerted fishing pressure. This was corroborated by length-based spawning potential ratio estimates of low spawning per recruit for the stock exploited by purse seines under FAD and free school sets. The reference points of both models were most sensitive to asymptotic length (L∞) prior misspecification, and including life history priors in LBB produced a narrower confidence interval of the estimated reference points. Conclusion The Northeast Atlantic Ocean Little Tunny fishery exploited by purse-seine fisheries under FAD and free school sets may be unsustainable. We maintain that user priors could reduce uncertainty in LBB, whereas accurate specification of priors, particularly L∞, is required to have less biased results using the models. We recommend catch limits through, for instance, spatial closures, but caution is advised due to uncertainty in this study's life history priors.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
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