More than anecdotes: fishers’ ecological knowledge can fill gaps for ecosystem modeling

Background Ecosystem modeling applied to fisheries remains hampered by a lack of local information. Fishers’ knowledge could fill this gap, improving participation in and the management of fisheries. Methodology The same fishing area was modeled using two approaches: based on fishers’ knowledge and...

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Principais autores: Bevilacqua, Ana Helena V., Carvalho, Adriana R., Angelini, Ronaldo, Christensen, Villy
Formato: article
Idioma:English
Publicado em: Public Library of Science
Assuntos:
Delphi methodology
Fishers’ knowledge model
Endereço do item:https://repositorio.ufrn.br/handle/123456789/30665
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spelling ri-123456789-306652020-11-29T07:45:29Z More than anecdotes: fishers’ ecological knowledge can fill gaps for ecosystem modeling Bevilacqua, Ana Helena V. Carvalho, Adriana R. Angelini, Ronaldo Christensen, Villy Delphi methodology Fishers’ knowledge model Background Ecosystem modeling applied to fisheries remains hampered by a lack of local information. Fishers’ knowledge could fill this gap, improving participation in and the management of fisheries. Methodology The same fishing area was modeled using two approaches: based on fishers’ knowledge and based on scientific information. For the former, the data was collected by interviews through the Delphi methodology, and for the latter, the data was gathered from the literature. Agreement between the attributes generated by the fishers’ knowledge model and scientific model is discussed and explored, aiming to improve data availability, the ecosystem model, and fisheries management. Principal Findings The ecosystem attributes produced from the fishers’ knowledge model were consistent with the ecosystem attributes produced by the scientific model, and elaborated using only the scientific data from literature.Conclusions/Significance This study provides evidence that fishers’ knowledge may suitably complement scientific data, and may improve the modeling tools for the research and management of fisheries 2020-11-24T19:12:27Z 2020-11-24T19:12:27Z 2016-05-19 article BEVILACQUA, Ana Helena V.; CARVALHO, Adriana R.; ANGELINI, Ronaldo; CHRISTENSEN, Villy. More than Anecdotes: fishers⠹ ecological knowledge can fill gaps for ecosystem modeling. Plos One, [S.L.], v. 11, n. 5, p. e0155655, 19 maio 2016. Disponível em: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155655. Acesso em: 13 nov. 2020. http://dx.doi.org/10.1371/journal.pone.0155655. 1932-6203 https://repositorio.ufrn.br/handle/123456789/30665 10.1371/journal.pone.0155655 en Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ application/pdf Public Library of Science
institution Repositório Institucional
collection RI - UFRN
language English
topic Delphi methodology
Fishers’ knowledge model
spellingShingle Delphi methodology
Fishers’ knowledge model
Bevilacqua, Ana Helena V.
Carvalho, Adriana R.
Angelini, Ronaldo
Christensen, Villy
More than anecdotes: fishers’ ecological knowledge can fill gaps for ecosystem modeling
description Background Ecosystem modeling applied to fisheries remains hampered by a lack of local information. Fishers’ knowledge could fill this gap, improving participation in and the management of fisheries. Methodology The same fishing area was modeled using two approaches: based on fishers’ knowledge and based on scientific information. For the former, the data was collected by interviews through the Delphi methodology, and for the latter, the data was gathered from the literature. Agreement between the attributes generated by the fishers’ knowledge model and scientific model is discussed and explored, aiming to improve data availability, the ecosystem model, and fisheries management. Principal Findings The ecosystem attributes produced from the fishers’ knowledge model were consistent with the ecosystem attributes produced by the scientific model, and elaborated using only the scientific data from literature.Conclusions/Significance This study provides evidence that fishers’ knowledge may suitably complement scientific data, and may improve the modeling tools for the research and management of fisheries
format article
author Bevilacqua, Ana Helena V.
Carvalho, Adriana R.
Angelini, Ronaldo
Christensen, Villy
author_facet Bevilacqua, Ana Helena V.
Carvalho, Adriana R.
Angelini, Ronaldo
Christensen, Villy
author_sort Bevilacqua, Ana Helena V.
title More than anecdotes: fishers’ ecological knowledge can fill gaps for ecosystem modeling
title_short More than anecdotes: fishers’ ecological knowledge can fill gaps for ecosystem modeling
title_full More than anecdotes: fishers’ ecological knowledge can fill gaps for ecosystem modeling
title_fullStr More than anecdotes: fishers’ ecological knowledge can fill gaps for ecosystem modeling
title_full_unstemmed More than anecdotes: fishers’ ecological knowledge can fill gaps for ecosystem modeling
title_sort more than anecdotes: fishers’ ecological knowledge can fill gaps for ecosystem modeling
publisher Public Library of Science
publishDate 2020
url https://repositorio.ufrn.br/handle/123456789/30665
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AT carvalhoadrianar morethananecdotesfishersecologicalknowledgecanfillgapsforecosystemmodeling
AT angelinironaldo morethananecdotesfishersecologicalknowledgecanfillgapsforecosystemmodeling
AT christensenvilly morethananecdotesfishersecologicalknowledgecanfillgapsforecosystemmodeling
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