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A bayesian approach to infer the sustainable use of artificial reefs in fisheries and recreation

2024-01-17Journal article Open access
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dc.contributor.authorRamos, Jorge
dc.contributor.authorDrakeford, Benjamin
dc.contributor.authorMadiedo, Ana
dc.contributor.authorCosta, Joana
dc.contributor.authorMiguel de Sousa Leitão, Francisco
dc.date.accessioned2024-01-31T11:45:31Z
dc.date.available2024-01-31T11:45:31Z
dc.date.issued2024-01-17
dc.date.updated2024-01-26T14:10:50Z
dc.description.abstractThe presence of artificial reefs (ARs) in the south of Portugal that were deployed a few decades ago and the corroboration of fishing patterns and other activities related to the use of these habitats have not been followed. It is important to note that monitoring the use of ARs was difficult in the past but is currently facilitated by the application of non-intrusive tools. In the present study, an approach is developed where, based on monitoring data from fishing and non-fishing boats, influence diagrams (IDs) are constructed to provide some evidence on fisheries or other use patterns and consequent AR effectiveness as coastal tools. These IDs allow us to infer various usefulness scenarios, namely catches, which are tangible, and satisfaction, which is intangible, and overall assessment of ARs and nearby areas in terms of human activities. After calibrating the Bayesian ID based on monitoring evidence, the obtained model was evaluated for several scenarios. In the base case, which assumes the occurrence of more fishing than recreation (assuming 3:1, respectively), the obtained utility is 18.64% (catches) and 31.96% (satisfaction). Of the scenarios run, the one that obtained the best results in the utility nodes together was the second one. The use of these tailored tools and approaches seems to be of fundamental importance for the adequate management of coastal infrastructures, particularly with regard to the inference of fishing resources and their sustainable use. An adequate interpretation based on the use of these tools implies being able to safeguard the ecological balance and economic sustainability of the communities operating in these areas.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSustainability 16 (2): 810 (2024)pt_PT
dc.identifier.doi10.3390/su16020810pt_PT
dc.identifier.eissn2071-1050
dc.identifier.urihttp://hdl.handle.net/10400.1/20327
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.relationResearch Centre for Tourism, Sustainability and Well-being
dc.relationAlgarve Centre for Marine Sciences
dc.relationAlgarve Centre for Marine Sciences
dc.relationCentre for Marine and Environmental Research
dc.relationSEARM_CLOUD: Socioeconomic artificial reef monitoring cloud based multi-vessel data gathering and analysis to steer stakeholders in the coastal areas
dc.relationClimate-mediated shifts in marine resources: an eco-socio-economic approach to assess vulnerability of fisheries to Climate Change.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAnglingpt_PT
dc.subjectAutomatic identification system (AIS)pt_PT
dc.subjectDivingpt_PT
dc.subjectFisheriespt_PT
dc.subjectInfluence diagram (ID)pt_PT
dc.subjectMonitoringpt_PT
dc.subjectRecreational activitiespt_PT
dc.subjectVessel trackingpt_PT
dc.titleA bayesian approach to infer the sustainable use of artificial reefs in fisheries and recreationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Centre for Tourism, Sustainability and Well-being
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleCentre for Marine and Environmental Research
oaire.awardTitleSEARM_CLOUD: Socioeconomic artificial reef monitoring cloud based multi-vessel data gathering and analysis to steer stakeholders in the coastal areas
oaire.awardTitleClimate-mediated shifts in marine resources: an eco-socio-economic approach to assess vulnerability of fisheries to Climate Change.
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04020%2F2020/PT
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oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de Projetos de I&D em Todos os Domínios Científicos - 2022/2022.01783.PTDC/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND4ed/2021.02180.CEECIND%2FCP1672%2FCT0003/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND5ed/2022.04803.CEECIND%2FCP1729%2FCT0006/PT
oaire.citation.issue2pt_PT
oaire.citation.startPage810pt_PT
oaire.citation.titleSustainabilitypt_PT
oaire.citation.volume16pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamConcurso de Projetos de I&D em Todos os Domínios Científicos - 2022
oaire.fundingStreamCEEC IND4ed
oaire.fundingStreamCEEC IND5ed
person.familyNameRamos
person.familyNameCosta
person.familyNameLeitão
person.givenNameJorge
person.givenNameJoana
person.givenNameFrancisco
person.identifier620214
person.identifier.ciencia-id2716-0804-58FC
person.identifier.ciencia-id3E1C-DBC2-42D5
person.identifier.orcid0000-0002-5115-7919
person.identifier.orcid0009-0005-2098-9818
person.identifier.orcid0000-0003-4983-9782
person.identifier.ridM-3980-2013
person.identifier.scopus-author-id7003991946
project.funder.identifierhttp://doi.org/10.13039/501100001871
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project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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