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

The presence of artificial reefs (AR) in the south of Portugal that were deployed a few decades ago and the corroboration of fishing patterns, or other activities related to the use of these habitats have not been followed. It is important to note that monitoring the use of AR 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 (ID) are constructed to provide some evidence on fisheries or other use patterns and consequent AR effectiveness as coastal tools. These ID allow us to infer various usefulness scenarios, namely catches, which is tangible, and satisfaction, which is intangible, and overall assessment AR 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 recreational (assuming 3:1, respectively), the obtained utility is 18.64% (catches) and 31.96% (satisfaction). Of the scenarios ran, the one that obtained the best results in the utility nodes together was the second one. The use of these tailored tools and approach seems to be of fundamental importance for an 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.