How many fish need to be measured to effectively evaluate trawl selectivity?

Published version. Source at http://doi.org/10.1371/journal.pone.0161512 . License CC BY 4.0 . 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 partic...

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Published in:PLOS ONE
Main Authors: Herrmann, Bent, Sistiaga, Manu Berrondo, Santos, Juan, Sala, Antonello
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science 2016
Subjects:
Cod
Online Access:https://hdl.handle.net/10037/10718
https://doi.org/10.1371/journal.pone.0161512
id ftunivtroemsoe:oai:munin.uit.no:10037/10718
record_format openpolar
spelling ftunivtroemsoe:oai:munin.uit.no:10037/10718 2023-05-15T15:39:10+02:00 How many fish need to be measured to effectively evaluate trawl selectivity? Herrmann, Bent Sistiaga, Manu Berrondo Santos, Juan Sala, Antonello 2016 https://hdl.handle.net/10037/10718 https://doi.org/10.1371/journal.pone.0161512 eng eng Public Library of Science PLoS ONE Herrmann B, Sistiaga MB, Santos, Sala A. How many fish need to be measured to effectively evaluate trawl selectivity?. PLoS ONE. 2016;11(8) FRIDAID 1401292 doi:10.1371/journal.pone.0161512 1932-6203 https://hdl.handle.net/10037/10718 openAccess Fisheries Rations Curve fitting Cod Covariance Simulation and modeling Confidence intervals Mediterranean Sea VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 Journal article Tidsskriftartikkel Peer reviewed 2016 ftunivtroemsoe https://doi.org/10.1371/journal.pone.0161512 2021-06-25T17:55:06Z Published version. Source at http://doi.org/10.1371/journal.pone.0161512 . License CC BY 4.0 . 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 University of Tromsø: Munin Open Research Archive Barents Sea PLOS ONE 11 8 e0161512
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic Fisheries
Rations
Curve fitting
Cod
Covariance
Simulation and modeling
Confidence intervals
Mediterranean Sea
VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
spellingShingle Fisheries
Rations
Curve fitting
Cod
Covariance
Simulation and modeling
Confidence intervals
Mediterranean Sea
VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
Herrmann, Bent
Sistiaga, Manu Berrondo
Santos, Juan
Sala, Antonello
How many fish need to be measured to effectively evaluate trawl selectivity?
topic_facet Fisheries
Rations
Curve fitting
Cod
Covariance
Simulation and modeling
Confidence intervals
Mediterranean Sea
VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
description Published version. Source at http://doi.org/10.1371/journal.pone.0161512 . License CC BY 4.0 . 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 Herrmann, Bent
Sistiaga, Manu Berrondo
Santos, Juan
Sala, Antonello
author_facet Herrmann, Bent
Sistiaga, Manu Berrondo
Santos, Juan
Sala, Antonello
author_sort Herrmann, Bent
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
publishDate 2016
url https://hdl.handle.net/10037/10718
https://doi.org/10.1371/journal.pone.0161512
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
Gadus morhua
genre_facet Barents Sea
Gadus morhua
op_relation PLoS ONE
Herrmann B, Sistiaga MB, Santos, Sala A. How many fish need to be measured to effectively evaluate trawl selectivity?. PLoS ONE. 2016;11(8)
FRIDAID 1401292
doi:10.1371/journal.pone.0161512
1932-6203
https://hdl.handle.net/10037/10718
op_rights openAccess
op_doi https://doi.org/10.1371/journal.pone.0161512
container_title PLOS ONE
container_volume 11
container_issue 8
container_start_page e0161512
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