Understanding size selectivity of trawls using structural models: Methodology and a case study on fish sorting grids
Fish behaviour affects the performance of selection devices in fishing gears. Traditionally, fish behaviour in relation to selection devices is assessed by direct observation. However, this approach has limitations, and the observations are not explicitly incorporated in the selectivity models. Furt...
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KeAi Communications Co., Ltd.
2025-05-01
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| Series: | Aquaculture and Fisheries |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468550X24000273 |
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| author | Nadine Jacques Bent Herrmann Jesse Brinkhof Manu Sistiaga |
| author_facet | Nadine Jacques Bent Herrmann Jesse Brinkhof Manu Sistiaga |
| author_sort | Nadine Jacques |
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| description | Fish behaviour affects the performance of selection devices in fishing gears. Traditionally, fish behaviour in relation to selection devices is assessed by direct observation. However, this approach has limitations, and the observations are not explicitly incorporated in the selectivity models. Further, underwater observations and quantification of fish behaviour can be challenging. In this study we outline and use an indirect method to explicitly incorporate and quantify fish behaviour in trawl selectivity analysis. We use a set of structural models, which are based on modelling the actual processes believed to determine the size selection of the device, to discern which behaviours are most likely to explain the selectivity process. By bootstrapping we assess how confident we can be in the choice of a specific structural model and on discerning the associated behavioural aspects. We collected size selectivity data in the Barents Sea demersal trawl fishery targeting gadoids, where the use of a sorting grid is compulsory. Using our modelling approach, we obtained deeper understanding of which behavioural processes most likely affect size selectivity in the sorting grids tested. Our approach can be applied to other fishing gears to understand and quantify fish behaviour in relation to size selectivity. |
| format | Article |
| id | doaj-art-c6633e5f0bb74b70b4fef7dafd96e495 |
| institution | Kabale University |
| issn | 2468-550X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Aquaculture and Fisheries |
| spelling | doaj-art-c6633e5f0bb74b70b4fef7dafd96e4952025-08-20T03:48:14ZengKeAi Communications Co., Ltd.Aquaculture and Fisheries2468-550X2025-05-0110349951310.1016/j.aaf.2024.03.003Understanding size selectivity of trawls using structural models: Methodology and a case study on fish sorting gridsNadine Jacques0Bent Herrmann1Jesse Brinkhof2Manu Sistiaga3UiT, The Arctic University of Norway, Tromsø, 9010, Norway; Corresponding author.UiT, The Arctic University of Norway, Tromsø, 9010, Norway; Department of Fishing Gear Technology, SINTEF Ocean, Trondheim, 7465, Norway; DTU Aqua, Technical University of Denmark, Hirtshals, 1019850, DenmarkUiT, The Arctic University of Norway, Tromsø, 9010, Norway; Norwegian Institute of Marine Research, Postbox 1870 Nordnes, Bergen, N-5817, NorwayUiT, The Arctic University of Norway, Tromsø, 9010, Norway; Norwegian Institute of Marine Research, Postbox 1870 Nordnes, Bergen, N-5817, NorwayFish behaviour affects the performance of selection devices in fishing gears. Traditionally, fish behaviour in relation to selection devices is assessed by direct observation. However, this approach has limitations, and the observations are not explicitly incorporated in the selectivity models. Further, underwater observations and quantification of fish behaviour can be challenging. In this study we outline and use an indirect method to explicitly incorporate and quantify fish behaviour in trawl selectivity analysis. We use a set of structural models, which are based on modelling the actual processes believed to determine the size selection of the device, to discern which behaviours are most likely to explain the selectivity process. By bootstrapping we assess how confident we can be in the choice of a specific structural model and on discerning the associated behavioural aspects. We collected size selectivity data in the Barents Sea demersal trawl fishery targeting gadoids, where the use of a sorting grid is compulsory. Using our modelling approach, we obtained deeper understanding of which behavioural processes most likely affect size selectivity in the sorting grids tested. Our approach can be applied to other fishing gears to understand and quantify fish behaviour in relation to size selectivity.http://www.sciencedirect.com/science/article/pii/S2468550X24000273Structural modelsSize selectivityFish behaviourBootstrap model selectionBottom trawlSorting grids |
| spellingShingle | Nadine Jacques Bent Herrmann Jesse Brinkhof Manu Sistiaga Understanding size selectivity of trawls using structural models: Methodology and a case study on fish sorting grids Aquaculture and Fisheries Structural models Size selectivity Fish behaviour Bootstrap model selection Bottom trawl Sorting grids |
| title | Understanding size selectivity of trawls using structural models: Methodology and a case study on fish sorting grids |
| title_full | Understanding size selectivity of trawls using structural models: Methodology and a case study on fish sorting grids |
| title_fullStr | Understanding size selectivity of trawls using structural models: Methodology and a case study on fish sorting grids |
| title_full_unstemmed | Understanding size selectivity of trawls using structural models: Methodology and a case study on fish sorting grids |
| title_short | Understanding size selectivity of trawls using structural models: Methodology and a case study on fish sorting grids |
| title_sort | understanding size selectivity of trawls using structural models methodology and a case study on fish sorting grids |
| topic | Structural models Size selectivity Fish behaviour Bootstrap model selection Bottom trawl Sorting grids |
| url | http://www.sciencedirect.com/science/article/pii/S2468550X24000273 |
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