More than Anecdotes: Fishers' Ecological Knowledge Can Fill Gaps for Ecosystem Modeling
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. The same fishing area was modeled using two approaches: based on fishers' knowledge and based on scie...
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| Veröffentlicht in: | PloS one 2016-05, Vol.11 (5), p.e0155655-e0155655 |
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| creator | Bevilacqua, Ana Helena V Carvalho, Adriana R Angelini, Ronaldo Christensen, Villy |
| description | 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.
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.
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.
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. |
| doi_str_mv | 10.1371/journal.pone.0155655 |
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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.
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.
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0155655</identifier><identifier>PMID: 27196131</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Animals ; Biology and Life Sciences ; Biomass ; Brazil ; Cephalopoda ; Coasts ; Commercial fishing ; Conservation of Natural Resources - methods ; Coral reefs ; Data collection ; Earth Sciences ; Ecology ; Ecology - methods ; Ecology and Environmental Sciences ; Ecosystem ; Ecosystem management ; Ecosystem models ; Ecosystems ; Environment models ; Environmental aspects ; Euthynnus alletteratus ; Female ; Fish ; Fisheries ; Fisheries management ; Fishery management ; Fishes ; Fishing ; Geography ; Humans ; Knowledge ; Lutjanus analis ; Male ; Management ; Middle Aged ; Science ; Software</subject><ispartof>PloS one, 2016-05, Vol.11 (5), p.e0155655-e0155655</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Bevilacqua et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Bevilacqua et al 2016 Bevilacqua et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-3e399a1779906e2e574840ff3d09c10ed01427a164ca07c7b79ea670fb1a5153</citedby><cites>FETCH-LOGICAL-c692t-3e399a1779906e2e574840ff3d09c10ed01427a164ca07c7b79ea670fb1a5153</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873290/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873290/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27196131$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bernardi, Giacomo</contributor><creatorcontrib>Bevilacqua, Ana Helena V</creatorcontrib><creatorcontrib>Carvalho, Adriana R</creatorcontrib><creatorcontrib>Angelini, Ronaldo</creatorcontrib><creatorcontrib>Christensen, Villy</creatorcontrib><title>More than Anecdotes: Fishers' Ecological Knowledge Can Fill Gaps for Ecosystem Modeling</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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.
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.</description><subject>Adult</subject><subject>Animals</subject><subject>Biology and Life Sciences</subject><subject>Biomass</subject><subject>Brazil</subject><subject>Cephalopoda</subject><subject>Coasts</subject><subject>Commercial fishing</subject><subject>Conservation of Natural Resources - methods</subject><subject>Coral reefs</subject><subject>Data collection</subject><subject>Earth Sciences</subject><subject>Ecology</subject><subject>Ecology - methods</subject><subject>Ecology and Environmental Sciences</subject><subject>Ecosystem</subject><subject>Ecosystem management</subject><subject>Ecosystem models</subject><subject>Ecosystems</subject><subject>Environment models</subject><subject>Environmental aspects</subject><subject>Euthynnus 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One</addtitle><date>2016-05-19</date><risdate>2016</risdate><volume>11</volume><issue>5</issue><spage>e0155655</spage><epage>e0155655</epage><pages>e0155655-e0155655</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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.
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.
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27196131</pmid><doi>10.1371/journal.pone.0155655</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Animals Biology and Life Sciences Biomass Brazil Cephalopoda Coasts Commercial fishing Conservation of Natural Resources - methods Coral reefs Data collection Earth Sciences Ecology Ecology - methods Ecology and Environmental Sciences Ecosystem Ecosystem management Ecosystem models Ecosystems Environment models Environmental aspects Euthynnus alletteratus Female Fish Fisheries Fisheries management Fishery management Fishes Fishing Geography Humans Knowledge Lutjanus analis Male Management Middle Aged Science Software |
| title | More than Anecdotes: Fishers' Ecological Knowledge Can Fill Gaps for Ecosystem Modeling |
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