Cargando…

When is enough, enough? Quantifying trade-offs between information quality and sampling effort for fishing gear selectivity data

There is general pressure throughout the world’s fisheries for the industry to have greater involvement not only in the development of fishing gears but also in the testing and documentation of their effect. In the European Union, the Common Fisheries Policy of 2013, together with the proposed refor...

Descripción completa

Detalles Bibliográficos
Autores principales: Veiga-Malta, Tiago, Feekings, Jordan, Herrmann, Bent, Krag, Ludvig Ahm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013241/
https://www.ncbi.nlm.nih.gov/pubmed/29928028
http://dx.doi.org/10.1371/journal.pone.0199655
_version_ 1783333993607856128
author Veiga-Malta, Tiago
Feekings, Jordan
Herrmann, Bent
Krag, Ludvig Ahm
author_facet Veiga-Malta, Tiago
Feekings, Jordan
Herrmann, Bent
Krag, Ludvig Ahm
author_sort Veiga-Malta, Tiago
collection PubMed
description There is general pressure throughout the world’s fisheries for the industry to have greater involvement not only in the development of fishing gears but also in the testing and documentation of their effect. In the European Union, the Common Fisheries Policy of 2013, together with the proposed reform of the technical measures regulation, highlights the need for greater flexibility in fisheries through increased stakeholder involvement. To achieve this flexibility, there is a need for additional fishing gears available to the fishermen. A way to facilitate this is to have the industry take part in the development and testing of fishing gears, as well as collect data on their performance. However, to have a successful industry-collected data programme, fishermen have to be able to collect data on the length of a portion of the catch. In this study, we determine how many individuals need to be measured to correctly evaluate the relative selective performance of a new gear compared to a standard gear. The evaluation was carried out by analysing catch ratio curves, their associated uncertainties, and the trade-offs between uncertainties and sampling effort. Results show that with relatively small sample sizes (500 to 1000 individuals) it is possible to correctly evaluate the performance of a gear for a given species. By having the industry develop and test their own gears, as well as being involved in the collection of data, the number of potential gear solutions available to address the different issues emerging in the fisheries is increased.
format Online
Article
Text
id pubmed-6013241
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-60132412018-07-06 When is enough, enough? Quantifying trade-offs between information quality and sampling effort for fishing gear selectivity data Veiga-Malta, Tiago Feekings, Jordan Herrmann, Bent Krag, Ludvig Ahm PLoS One Research Article There is general pressure throughout the world’s fisheries for the industry to have greater involvement not only in the development of fishing gears but also in the testing and documentation of their effect. In the European Union, the Common Fisheries Policy of 2013, together with the proposed reform of the technical measures regulation, highlights the need for greater flexibility in fisheries through increased stakeholder involvement. To achieve this flexibility, there is a need for additional fishing gears available to the fishermen. A way to facilitate this is to have the industry take part in the development and testing of fishing gears, as well as collect data on their performance. However, to have a successful industry-collected data programme, fishermen have to be able to collect data on the length of a portion of the catch. In this study, we determine how many individuals need to be measured to correctly evaluate the relative selective performance of a new gear compared to a standard gear. The evaluation was carried out by analysing catch ratio curves, their associated uncertainties, and the trade-offs between uncertainties and sampling effort. Results show that with relatively small sample sizes (500 to 1000 individuals) it is possible to correctly evaluate the performance of a gear for a given species. By having the industry develop and test their own gears, as well as being involved in the collection of data, the number of potential gear solutions available to address the different issues emerging in the fisheries is increased. Public Library of Science 2018-06-21 /pmc/articles/PMC6013241/ /pubmed/29928028 http://dx.doi.org/10.1371/journal.pone.0199655 Text en © 2018 Veiga-Malta 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
Veiga-Malta, Tiago
Feekings, Jordan
Herrmann, Bent
Krag, Ludvig Ahm
When is enough, enough? Quantifying trade-offs between information quality and sampling effort for fishing gear selectivity data
title When is enough, enough? Quantifying trade-offs between information quality and sampling effort for fishing gear selectivity data
title_full When is enough, enough? Quantifying trade-offs between information quality and sampling effort for fishing gear selectivity data
title_fullStr When is enough, enough? Quantifying trade-offs between information quality and sampling effort for fishing gear selectivity data
title_full_unstemmed When is enough, enough? Quantifying trade-offs between information quality and sampling effort for fishing gear selectivity data
title_short When is enough, enough? Quantifying trade-offs between information quality and sampling effort for fishing gear selectivity data
title_sort when is enough, enough? quantifying trade-offs between information quality and sampling effort for fishing gear selectivity data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013241/
https://www.ncbi.nlm.nih.gov/pubmed/29928028
http://dx.doi.org/10.1371/journal.pone.0199655
work_keys_str_mv AT veigamaltatiago whenisenoughenoughquantifyingtradeoffsbetweeninformationqualityandsamplingeffortforfishinggearselectivitydata
AT feekingsjordan whenisenoughenoughquantifyingtradeoffsbetweeninformationqualityandsamplingeffortforfishinggearselectivitydata
AT herrmannbent whenisenoughenoughquantifyingtradeoffsbetweeninformationqualityandsamplingeffortforfishinggearselectivitydata
AT kragludvigahm whenisenoughenoughquantifyingtradeoffsbetweeninformationqualityandsamplingeffortforfishinggearselectivitydata