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...

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Published in:PLOS ONE
Main Authors: Bent Herrmann, Manu Sistiaga, Juan Santos, Antonello Sala
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2016
Subjects:
R
Q
Online Access:https://doi.org/10.1371/journal.pone.0161512
https://doaj.org/article/903e5e9f61f448d692399b154d399f83
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spelling ftdoajarticles:oai:doaj.org/article:903e5e9f61f448d692399b154d399f83 2023-05-15T15:39:06+02:00 How Many Fish Need to Be Measured to Effectively Evaluate Trawl Selectivity? Bent Herrmann Manu Sistiaga Juan Santos Antonello Sala 2016-01-01T00:00:00Z https://doi.org/10.1371/journal.pone.0161512 https://doaj.org/article/903e5e9f61f448d692399b154d399f83 EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC4999221?pdf=render https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0161512 https://doaj.org/article/903e5e9f61f448d692399b154d399f83 PLoS ONE, Vol 11, Iss 8, p e0161512 (2016) Medicine R Science Q article 2016 ftdoajarticles https://doi.org/10.1371/journal.pone.0161512 2022-12-31T12:02:54Z 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. Article in Journal/Newspaper Barents Sea Gadus morhua Directory of Open Access Journals: DOAJ Articles Barents Sea PLOS ONE 11 8 e0161512
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Bent Herrmann
Manu Sistiaga
Juan Santos
Antonello Sala
How Many Fish Need to Be Measured to Effectively Evaluate Trawl Selectivity?
topic_facet Medicine
R
Science
Q
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 Article in Journal/Newspaper
author Bent Herrmann
Manu Sistiaga
Juan Santos
Antonello Sala
author_facet Bent Herrmann
Manu Sistiaga
Juan Santos
Antonello Sala
author_sort Bent Herrmann
title 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_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_sort how many fish need to be measured to effectively evaluate trawl selectivity?
publisher Public Library of Science (PLoS)
publishDate 2016
url https://doi.org/10.1371/journal.pone.0161512
https://doaj.org/article/903e5e9f61f448d692399b154d399f83
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
Gadus morhua
genre_facet Barents Sea
Gadus morhua
op_source PLoS ONE, Vol 11, Iss 8, p e0161512 (2016)
op_relation http://europepmc.org/articles/PMC4999221?pdf=render
https://doaj.org/toc/1932-6203
1932-6203
doi:10.1371/journal.pone.0161512
https://doaj.org/article/903e5e9f61f448d692399b154d399f83
op_doi https://doi.org/10.1371/journal.pone.0161512
container_title PLOS ONE
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