A Bayesian Approach to Infer the Sustainable Use of Artificial Reefs in Fisheries and Recreation

Jorge Ramos (), Benjamin Drakeford, Ana Madiedo, Joana Costa and Francisco Leitão
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Jorge Ramos: Research Centre for Tourism, Sustainability and Well-Being (CinTurs), University of Algarve, 8005-139 Faro, Portugal
Benjamin Drakeford: Centre for Blue Governance (CBG), University of Portsmouth, Portsmouth PO1 2UP, UK
Ana Madiedo: Research Centre for Tourism, Sustainability and Well-Being (CinTurs), University of Algarve, 8005-139 Faro, Portugal
Joana Costa: Research Centre for Tourism, Sustainability and Well-Being (CinTurs), University of Algarve, 8005-139 Faro, Portugal
Francisco Leitão: Centre of Marine Sciences (CCMAR), University of Algarve, 8005-139 Faro, Portugal

Sustainability, 2024, vol. 16, issue 2, 1-16

Abstract: 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.

Keywords: angling; automatic identification system (AIS); diving; fisheries; influence diagram (ID); monitoring; recreational activities; vessel tracking (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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