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Predictive framework for codend size selection of brown shrimp (Crangon crangon) in the North Sea beam-trawl fishery

The brown shrimp (Crangon crangon) fishery is of great socio-economic importance to coastal communities on the North Sea. The fishery is exploited by beam trawlers often using codends with very small mesh sizes, leading to concerns about catch rates of undersized shrimp. However, little information...

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Autores principales: Santos, Juan, Herrmann, Bent, Stepputtis, Daniel, Günther, Claudia, Limmer, Bente, Mieske, Bernd, Schultz, Sebastian, Neudecker, Thomas, Temming, Axel, Hufnagl, Marc, Bethke, Eckhard, Kraus, Gerd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6047787/
https://www.ncbi.nlm.nih.gov/pubmed/30011305
http://dx.doi.org/10.1371/journal.pone.0200464
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author Santos, Juan
Herrmann, Bent
Stepputtis, Daniel
Günther, Claudia
Limmer, Bente
Mieske, Bernd
Schultz, Sebastian
Neudecker, Thomas
Temming, Axel
Hufnagl, Marc
Bethke, Eckhard
Kraus, Gerd
author_facet Santos, Juan
Herrmann, Bent
Stepputtis, Daniel
Günther, Claudia
Limmer, Bente
Mieske, Bernd
Schultz, Sebastian
Neudecker, Thomas
Temming, Axel
Hufnagl, Marc
Bethke, Eckhard
Kraus, Gerd
author_sort Santos, Juan
collection PubMed
description The brown shrimp (Crangon crangon) fishery is of great socio-economic importance to coastal communities on the North Sea. The fishery is exploited by beam trawlers often using codends with very small mesh sizes, leading to concerns about catch rates of undersized shrimp. However, little information is available on codend size selection, making it difficult to provide scientifically based advice on alternative codend designs. Therefore, this study establishes a predictive framework for codend size selection of brown shrimp, based on a large selectivity dataset from 33 different codend designs tested during four experimental fishing cruises, during which more than 350,000 brown shrimp were length measured. Predictions by the framework confirm concerns about the exploitation pattern in the fishery, because the retention probability of undersized shrimp reaches 95% with the currently applied designs. The framework predictions allow the exploration of obtainable exploitation patterns depending on codend design. For example, increasing codend mesh size to 25–29 mm would reduce the retention rate of undersized shrimp to a maximum of 50%, depending on codend mesh type.
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spelling pubmed-60477872018-07-26 Predictive framework for codend size selection of brown shrimp (Crangon crangon) in the North Sea beam-trawl fishery Santos, Juan Herrmann, Bent Stepputtis, Daniel Günther, Claudia Limmer, Bente Mieske, Bernd Schultz, Sebastian Neudecker, Thomas Temming, Axel Hufnagl, Marc Bethke, Eckhard Kraus, Gerd PLoS One Research Article The brown shrimp (Crangon crangon) fishery is of great socio-economic importance to coastal communities on the North Sea. The fishery is exploited by beam trawlers often using codends with very small mesh sizes, leading to concerns about catch rates of undersized shrimp. However, little information is available on codend size selection, making it difficult to provide scientifically based advice on alternative codend designs. Therefore, this study establishes a predictive framework for codend size selection of brown shrimp, based on a large selectivity dataset from 33 different codend designs tested during four experimental fishing cruises, during which more than 350,000 brown shrimp were length measured. Predictions by the framework confirm concerns about the exploitation pattern in the fishery, because the retention probability of undersized shrimp reaches 95% with the currently applied designs. The framework predictions allow the exploration of obtainable exploitation patterns depending on codend design. For example, increasing codend mesh size to 25–29 mm would reduce the retention rate of undersized shrimp to a maximum of 50%, depending on codend mesh type. Public Library of Science 2018-07-16 /pmc/articles/PMC6047787/ /pubmed/30011305 http://dx.doi.org/10.1371/journal.pone.0200464 Text en © 2018 Santos et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Santos, Juan
Herrmann, Bent
Stepputtis, Daniel
Günther, Claudia
Limmer, Bente
Mieske, Bernd
Schultz, Sebastian
Neudecker, Thomas
Temming, Axel
Hufnagl, Marc
Bethke, Eckhard
Kraus, Gerd
Predictive framework for codend size selection of brown shrimp (Crangon crangon) in the North Sea beam-trawl fishery
title Predictive framework for codend size selection of brown shrimp (Crangon crangon) in the North Sea beam-trawl fishery
title_full Predictive framework for codend size selection of brown shrimp (Crangon crangon) in the North Sea beam-trawl fishery
title_fullStr Predictive framework for codend size selection of brown shrimp (Crangon crangon) in the North Sea beam-trawl fishery
title_full_unstemmed Predictive framework for codend size selection of brown shrimp (Crangon crangon) in the North Sea beam-trawl fishery
title_short Predictive framework for codend size selection of brown shrimp (Crangon crangon) in the North Sea beam-trawl fishery
title_sort predictive framework for codend size selection of brown shrimp (crangon crangon) in the north sea beam-trawl fishery
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6047787/
https://www.ncbi.nlm.nih.gov/pubmed/30011305
http://dx.doi.org/10.1371/journal.pone.0200464
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