Socio-economic factors affecting the distribution of marine litter: The Portuguese case study

Marine litter is a growing global problem with serious environmental, economic, social, and health threats. Understanding the socio-economic factors that influence the types and amounts of litter is of utmost importance. In this study, an integrative analysis of the socio-economic factors that characterize the beach litter distribution in continental Portugal and the Azores archipelago was conducted via a cluster analysis, implementing a novel technique to support the difficult task of marine litter characterization. The results highlighted that the most abundant beach litter material is plastic (92.9 %), followed by paper (2.2 %), wood (1.5 %), and metal (1.3 %). The majority of the items could not be attributed to a specific source (46.5 %). The remaining were attributed to public litter (34.5 % of total aggregated items), fishing (9.8 %), sewage-related debris (6.4 %) and shipping (2.2 %). The top-three beach litter categories were small plastic pieces (0-2.5 cm, 43.5 %), cigarette butts (30.1 %), and medium plastic pieces (2.5-50 cm, 26.4 %). A positive relation between both municipality environment expenditures and population density and the quantity and typology of litter was found. Beach litter quantity and categories were also associated with specific economic sectors, as well as with geographical/hydrodynamic conditions, demonstrating the utility of the technique and its applicability to other regions.

Automated summary

Marine litter poses serious threats to the environment, economy, society, and health globally. Understanding the socio-economic factors influencing litter types and amounts is crucial. This study conducted an integrative analysis of the socio-economic factors characterizing beach litter distribution in Portugal and the Azores archipelago, using a novel technique. Results showed that plastic was the most abundant litter material (92.9%), followed by paper, wood, and metal. The study identified specific sources for the litter and found a positive relationship between municipality environment expenditures and population density with litter quantity and typology.