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...

Full description

Bibliographic Details
Main Authors: Bent Herrmann, Manu Sistiaga, Juan Santos, Antonello Sala
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0161512
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0161512&type=printable
id ftrepec:oai:RePEc:plo:pone00:0161512
record_format openpolar
spelling ftrepec:oai:RePEc:plo:pone00:0161512 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 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0161512 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0161512&type=printable unknown https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0161512 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0161512&type=printable article ftrepec 2020-12-04T13:35:35Z 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 RePEc (Research Papers in Economics) Barents Sea
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
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
spellingShingle Bent Herrmann
Manu Sistiaga
Juan Santos
Antonello Sala
How Many Fish Need to Be Measured to Effectively Evaluate Trawl Selectivity?
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?
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0161512
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0161512&type=printable
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
Gadus morhua
genre_facet Barents Sea
Gadus morhua
op_relation https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0161512
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0161512&type=printable
_version_ 1766370544836411392