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

Detalhes bibliográficos
Autor(a) principal: Ramos, Jorge
Data de Publicação: 2024
Outros Autores: Drakeford, Benjamin, Madiedo, Ana, Costa, Joana, Miguel de Sousa Leitão, Francisco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/20327
Resumo: The 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.
id RCAP_ca782a24cf2308211e4c575bdb2ab61d
oai_identifier_str oai:sapientia.ualg.pt:10400.1/20327
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling A bayesian approach to infer the sustainable use of artificial reefs in fisheries and recreationAnglingAutomatic identification system (AIS)DivingFisheriesInfluence diagram (ID)MonitoringRecreational activitiesVessel trackingThe 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.MDPISapientiaRamos, JorgeDrakeford, BenjaminMadiedo, AnaCosta, JoanaMiguel de Sousa Leitão, Francisco2024-01-31T11:45:31Z2024-01-172024-01-26T14:10:50Z2024-01-17T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/20327engSustainability 16 (2): 810 (2024)10.3390/su160208102071-1050info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-07T02:01:01Zoai:sapientia.ualg.pt:10400.1/20327Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:36:37.591528Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A bayesian approach to infer the sustainable use of artificial reefs in fisheries and recreation
title A bayesian approach to infer the sustainable use of artificial reefs in fisheries and recreation
spellingShingle A bayesian approach to infer the sustainable use of artificial reefs in fisheries and recreation
Ramos, Jorge
Angling
Automatic identification system (AIS)
Diving
Fisheries
Influence diagram (ID)
Monitoring
Recreational activities
Vessel tracking
title_short A bayesian approach to infer the sustainable use of artificial reefs in fisheries and recreation
title_full A bayesian approach to infer the sustainable use of artificial reefs in fisheries and recreation
title_fullStr A bayesian approach to infer the sustainable use of artificial reefs in fisheries and recreation
title_full_unstemmed A bayesian approach to infer the sustainable use of artificial reefs in fisheries and recreation
title_sort A bayesian approach to infer the sustainable use of artificial reefs in fisheries and recreation
author Ramos, Jorge
author_facet Ramos, Jorge
Drakeford, Benjamin
Madiedo, Ana
Costa, Joana
Miguel de Sousa Leitão, Francisco
author_role author
author2 Drakeford, Benjamin
Madiedo, Ana
Costa, Joana
Miguel de Sousa Leitão, Francisco
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Ramos, Jorge
Drakeford, Benjamin
Madiedo, Ana
Costa, Joana
Miguel de Sousa Leitão, Francisco
dc.subject.por.fl_str_mv Angling
Automatic identification system (AIS)
Diving
Fisheries
Influence diagram (ID)
Monitoring
Recreational activities
Vessel tracking
topic Angling
Automatic identification system (AIS)
Diving
Fisheries
Influence diagram (ID)
Monitoring
Recreational activities
Vessel tracking
description The 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.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-31T11:45:31Z
2024-01-17
2024-01-26T14:10:50Z
2024-01-17T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/20327
url http://hdl.handle.net/10400.1/20327
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sustainability 16 (2): 810 (2024)
10.3390/su16020810
2071-1050
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799137417622454272