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How Many Fish Need to Be Measured to Effectively Evaluate Trawl Selectivity?
The aim of this study was to provide practitioners working with trawl selectivity with general and easily understandable guidelines regarding the fish sampling effort necessary during sea trials. In particular, we focused on how many fish would need to be caught and length measured in a trawl haul i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999221/ https://www.ncbi.nlm.nih.gov/pubmed/27560696 http://dx.doi.org/10.1371/journal.pone.0161512 |
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author | Herrmann, Bent Sistiaga, Manu Santos, Juan Sala, Antonello |
author_facet | Herrmann, Bent Sistiaga, Manu Santos, Juan Sala, Antonello |
author_sort | Herrmann, Bent |
collection | PubMed |
description | The aim of this study was to provide practitioners working with trawl selectivity with general and easily understandable guidelines regarding the fish sampling effort necessary during sea trials. In particular, we focused on how many fish would need to be caught and length measured in a trawl haul in order to assess the selectivity parameters of the trawl at a designated uncertainty level. We also investigated the dependency of this uncertainty level on the experimental method used to collect data and on the potential effects of factors such as the size structure in the catch relative to the size selection of the gear. We based this study on simulated data created from two different fisheries: the Barents Sea cod (Gadus morhua) trawl fishery and the Mediterranean Sea multispecies trawl fishery represented by red mullet (Mullus barbatus). We used these two completely different fisheries to obtain results that can be used as general guidelines for other fisheries. We found that the uncertainty in the selection parameters decreased with increasing number of fish measured and that this relationship could be described by a power model. The sampling effort needed to achieve a specific uncertainty level for the selection parameters was always lower for the covered codend method compared to the paired-gear method. In many cases, the number of fish that would need to be measured to maintain a specific uncertainty level was around 10 times higher for the paired-gear method than for the covered codend method. The trends observed for the effect of sampling effort in the two fishery cases investigated were similar; therefore the guidelines presented herein should be applicable to other fisheries. |
format | Online Article Text |
id | pubmed-4999221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49992212016-09-12 How Many Fish Need to Be Measured to Effectively Evaluate Trawl Selectivity? Herrmann, Bent Sistiaga, Manu Santos, Juan Sala, Antonello PLoS One Research Article The aim of this study was to provide practitioners working with trawl selectivity with general and easily understandable guidelines regarding the fish sampling effort necessary during sea trials. In particular, we focused on how many fish would need to be caught and length measured in a trawl haul in order to assess the selectivity parameters of the trawl at a designated uncertainty level. We also investigated the dependency of this uncertainty level on the experimental method used to collect data and on the potential effects of factors such as the size structure in the catch relative to the size selection of the gear. We based this study on simulated data created from two different fisheries: the Barents Sea cod (Gadus morhua) trawl fishery and the Mediterranean Sea multispecies trawl fishery represented by red mullet (Mullus barbatus). We used these two completely different fisheries to obtain results that can be used as general guidelines for other fisheries. We found that the uncertainty in the selection parameters decreased with increasing number of fish measured and that this relationship could be described by a power model. The sampling effort needed to achieve a specific uncertainty level for the selection parameters was always lower for the covered codend method compared to the paired-gear method. In many cases, the number of fish that would need to be measured to maintain a specific uncertainty level was around 10 times higher for the paired-gear method than for the covered codend method. The trends observed for the effect of sampling effort in the two fishery cases investigated were similar; therefore the guidelines presented herein should be applicable to other fisheries. Public Library of Science 2016-08-25 /pmc/articles/PMC4999221/ /pubmed/27560696 http://dx.doi.org/10.1371/journal.pone.0161512 Text en © 2016 Herrmann 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 Herrmann, Bent Sistiaga, Manu Santos, Juan Sala, Antonello How Many Fish Need to Be Measured to Effectively Evaluate Trawl Selectivity? |
title | How Many Fish Need to Be Measured to Effectively Evaluate Trawl Selectivity? |
title_full | How Many Fish Need to Be Measured to Effectively Evaluate Trawl Selectivity? |
title_fullStr | How Many Fish Need to Be Measured to Effectively Evaluate Trawl Selectivity? |
title_full_unstemmed | How Many Fish Need to Be Measured to Effectively Evaluate Trawl Selectivity? |
title_short | How Many Fish Need to Be Measured to Effectively Evaluate Trawl Selectivity? |
title_sort | how many fish need to be measured to effectively evaluate trawl selectivity? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999221/ https://www.ncbi.nlm.nih.gov/pubmed/27560696 http://dx.doi.org/10.1371/journal.pone.0161512 |
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