نتایج جستجو برای: trawl fishery

تعداد نتایج: 9209  

Journal: :Estuarine Coastal and Shelf Science 2023

In this study, we compared the bycatch reduction capacity of a trawl fitted with standard rigid sorting grid that newly developed, flexible system called Excluder. We conducted fishing trials in Norway pout (Trisopterus esmarkii) small-meshed fishery North Sea. Catch data were analysed by species and length using catch comparison ratio method. The Excluder significantly reduced (in weight) rela...

Journal: : 2022

Chub mackerel and japanese sardine fishery is overviweved for the period since 1976. Two blooms of high abundance were observed within this both species. Effectiveness fishing methods used during past present compared to reveal prospects their improvement sunstantiate operating parameters gear suitable energy capabilities vessels with certain tonnage. On results analysis, wider use purse seine ...

Journal: :Scientia Marina 2022

This study characterized the fishery dynamics of blue whiting, a bycatch species bottom trawl Norway lobster fishery, in NW Mediterranean. Landings and effort data over last two decades were combined with current information on spatial distribution catch, size age structure whiting year. Recruitment to demersal habitat occurred from 5 cm total length (TL) shelf break spring (April-May), when di...

Journal: :Food Control 2021

Damage incurred during the catch process is an indicator of overall quality fish and welfare. Because difficult to improve once it has deteriorated, important preserve process. Atlantic cod (Gadus morhua) most species in Barents Sea bottom trawl fishery. Bottom trawling a non-benign fishing method, therefore considered reduce damage imparted capture, subsequently In present study, levels on cap...

2006
J. R. Leathwick J. Elith M. P. Francis T. Hastie P. Taylor

We analysed relationships between demersal fish species richness, environment and trawl characteristics using an extensive collection of trawl data from the oceans around New Zealand. Analyses were carried out using both generalised additive models and boosted regression trees (sometimes referred to as “stochastic gradient boosting”). Depth was the single most important environmental predictor ...

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