Marine & Environmental Sciences Faculty Articles

Document Type

Article

Publication Date

5-20-2022

Publication Title

Boletim do Instituto de Pesca

Keywords

Bigeye tuna, Bycatch, GLM, Selectivity, Yellowfin tuna

ISSN

1678-2305

Volume

48

Issue/No.

[Special Edition]

Abstract

The choice of bait is one of the fisheries tactics used to increase selectivity for particular target species. The performance of three bait types (mackerel, sardine, squid) was evaluated with a commercial vessel operating in the Equatorial Atlantic Ocean using the deep-set pelagic longline deployment method to target large yellowfin and bigeye tunas. The effect of different factors and covariates on the Capture per Effort Unit - CPUE was evaluated through Generalized Linear Models (GLM). In 121 experimental sets using three bait types, 2385 individuals of the two target species were captured, 1166 yellowfin tuna and 1219 bigeye tuna. The results suggest a preference between bait types for each target species, with the yellowfin tuna being mostly caught by the hooks using squid and bigeye tuna with fish bait mackerel. Stratifying the results for three depth ranges of the hooks, the combination of bait and depth for yellowfin tuna resulted in an increase of catch probability in the intermediary depth layer using mackerel. For bigeye tuna, using mackerel in the intermediary layer resulted in a reduction in the catch rate. Bycatch represented around 11.15% of total captures. These results will provide important information to choosing the most efficient bait for the pelagic longline fishing operation and will help future decisions of fisheries management.

Comments

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nivel Superior – Brasil (CAPES) – Finance code 001. This article was extracted from the correspondent author´s Master’s Dissertation MS. Tiago Hilario Pedrosa Campello, available at the repository library of Universidade Federal Rural de Pernambuco – UFRPE.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ORCID ID

0000-0002-4440-8767

ResearcherID

I-5396-2012

DOI

10.20950/1678-2305/bip.2022.48.e678

Peer Reviewed

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