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Prediction of potential net panel selectivity in mesopelagic trawls (CROSBI ID 317235)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Grimaldo, Eduardo ; Herrmann, Bent ; Brčić, Jure ; Cerbule, Kristine ; Brinkhof, Jesse ; Grimsmo, Leif ; Jacques, Nadine Prediction of potential net panel selectivity in mesopelagic trawls // Ocean engineering, 260 (2022), 111964, 22. doi: 10.1016/j.oceaneng.2022.111964

Podaci o odgovornosti

Grimaldo, Eduardo ; Herrmann, Bent ; Brčić, Jure ; Cerbule, Kristine ; Brinkhof, Jesse ; Grimsmo, Leif ; Jacques, Nadine

engleski

Prediction of potential net panel selectivity in mesopelagic trawls

The growing interest in harvesting mesopelagic fish species has increased the need for knowledge about how trawls should be designed for optimizing the catch efficiency of these resources. Since the net herding efficiency for small mesopelagic fish species is unknown, trawls targeting these species need to consider the potential net panel selectivity along the entire trawl body. Therefore, trawl engineers and net makers who design trawls for harvesting mesopelagic species need to know which design parameters, such as mesh size, mesh opening angles, and trawl tapering angles, can be used along the trawl body to avoid potential net panel selectivity, thus maximizing catch efficiency. This study addresses these knowledge gaps using an approach based on laboratory experiments with mesopelagic fish and a simulation model that can help in predicting the potential net panel selectivity. Three trawl designs that have been used in experimental fisheries in the Northeast Atlantic are investigated in this study. Two of them (trawl 1 and trawl 2) had small-mesh liners in the belly and extension piece while the third trawl didn't. The simulation model shows that trawls with small- mesh liners in the belly and extension piece reduces panel selectivity and can increase catch efficiency.

Mesopelagic trawl ; Trawl design ; Mesh opening ; Tapering angle ; Mesopelagic fish ; Selectivity ; Catch efficiency

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Podaci o izdanju

260

2022.

111964

22

objavljeno

0029-8018

10.1016/j.oceaneng.2022.111964

Povezanost rada

Biotehnologija

Poveznice
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