Comparative analysis of three bait types in deep-set pelagic longline gear in the Equatorial Atlantic Ocean

Tiago Hilário Pedrosa Campello; Lucas Eduardo Comassetto; Humberto Gomes Hazin; Jose Carlos Pacheco dos Santos; David Kerstetter; Fábio Hissa Vieira Hazin (in memorian)

doi:10.20950/1678-2305/bip.2022.48.e678

Authors

Tiago Hilário Pedrosa Campello Universidade Federal Rural de Pernambuco - UFRPE, Departamento de Pesca e Aquicultura. https://orcid.org/0000-0002-9480-5146
Lucas Eduardo Comassetto Instituto Federal de Educação, Ciência e Tecnologia de Roraima - IFRR, Campus Amajari. https://orcid.org/0000-0002-3959-2846
Humberto Gomes Hazin Universidade Federal Rural do Semiárido - UFERSA. https://orcid.org/0000-0002-5999-2230
Jose Carlos Pacheco dos Santos Universidade Federal Rural de Pernambuco - UFRPE, Departamento de Pesca e Aquicultura, Unidade Acadêmica de Serra Talhada. https://orcid.org/0000-0003-2956-470X
David Kerstetter Halmos College of Natural Sciences and Oceanography / Nova Southeastern University. https://orcid.org/0000-0002-4440-8767
Fábio Hissa Vieira Hazin (in memorian) Universidade Federal Rural de Pernambuco - UFRPE, Departamento de Pesca e Aquicultura. https://orcid.org/0000-0003-3755-5379

DOI:

https://doi.org/10.20950/1678-2305/bip.2022.48.e678

Keywords:

Bigeye tuna, bycatch, GLM, selectivity, Yellowfin tuna

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.

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