A total of 346 live animals of the endangered species fan mussel Pinna nobilis (Linnaeus 1758) were recorded in situ in the shallow water zone (<2m) within two sites of the marine protected area “Natura 2000” of Maliakos Gulf (Central Hellas). Our results showed that the recorded length (from 11.89 to 72.51 cm) of the fan mussels corresponds to ages that cover the majority of the species life time. Population densities were comparable to the higher values recorded previously in the Mediterranean Sea. The spatial distribution of species was clumped. Estimated total mortality was close to estimated natural mortality indicating that fishing activity does not significantly affect the population density and mortality of fan mussel in the study area. Population densities were related to sediment type, the buried length of animals was related to both sediment type and sea grass leaves size.

Greece exhibits the lowest seafood per capita consumption amongst European Mediterranean countries, and the investigation of consumer attitudes to new seafood products would bridge the gap among producers and consumers by promoting the vertical integration of the supply chain. However, limited information exists about consumer preferences for bivalves in the Mediterranean and for wild bivalves in particular. The present study aims to investigate, for the first time, consumers’ attitudes towards the purchase and consumption of bivalves, and more specifically, towards the edible pearl oyster Pinctada imbricata radiata, in the Greek shellfish market. Adult participants from the entire country completed a questionnaire covering the basic marketing aspects of bivalve and pearl oyster consumption, such as choice, purchase, reasons for consuming bivalves, confidence in product’s hygiene certification, media influence, etc. Data analysis included uni- and multi-variate statistics to examine the possible relations between the consumers’ demographics and socio-economic characteristics, and bivalve marketing aspects. Results showed that the majority of Greek consumers chooses traditional shellfish shops for purchasing pearl oysters, prefers a certification of quality, and trusts the confirmation provided by the veterinary authorities. Consumers’ attitudes vary considerably according to their demographics and socio-economic characteristics. Multivariate models revealed that the married, highly educated consumers that live in urban places were more reluctant to try new shellfish products and to accept an innovative way of market supply. The results reflect the positive attitude of Greek consumers towards the consumption of pearl oyster, a fact that would be helpful for decision makers in the planning of production, which in turn would promote bivalve consumption in the Greek shellfish market.

This study explores the design and capabilities of a Geographic Information System (GIS) incorporated with an expert knowledge system, tailored for tracking and monitoring the spread of dangerous diseases across a collection of fish farms. Specifically targeting the aquacultural regions of Greece, the system captures geographical and climatic data pertinent to these farms. A feature of this system is its ability to calculate disease transmission intervals between individual cages and broader fish farm entities, providing crucial insights into the spread dynamics. These data then act as an entry point to our expert system. To enhance the predictive precision, we employed various machine learning strategies, ultimately focusing on a reinforcement learning (RL) environment. This RL framework, enhanced by the Multi-Armed Bandit (MAB) technique, stands out as a powerful mechanism for effectively managing the flow of virus transmissions within farms. Empirical tests highlight the efficiency of the MAB approach, which, in direct comparisons, consistently outperformed other algorithmic options, achieving an impressive accuracy rate of 96%. Looking ahead to future work, we plan to integrate buffer techniques and delve deeper into advanced RL models to enhance our current system. The results set the stage for future research in predictive modeling within aquaculture health management, and we aim to extend our research even further.

The current study provides valuable insight into the ecological risks and decline of the bivalve fishery and biodiversity in the Amvrakikos Gulf over the last 50 years through a triangulation of information from in situ surveys and expert judgment, supplemented with historical archives. In situ sampling showed that bivalve species composition was a typical composition of benthic fauna consisting of the olive green cockle, Cerastoderma glaucum, the grooved carpet shell, Ruditapes decussatus, and the Mediterranean mussel, Mytilus galloprovincialis. Interviews confirmed the dramatic decrease in the abundance of striped venus clam, Chamelea gallina, and noble pen shell Pinna nobilis, both of which might be attributed to human-induced impacts, habitat degradation and climate change. Official data depicted a gradual reduction of bivalve catches since 1980 and massive degradation of the resources after 2000. As a result, the bivalve fishery was abandoned, having a negative impact on the local socio-economic community. The present study fills in a gap in knowledge for preserving species biodiversity that is critical to the health of the coastal environments.