How far are we from robust estimates of plastic litter leakage to the environment?

Stakeholder Analysis as a strategic tool in framing collaborative governance arenas for marine litter monitoring

Monitoring and assessment of marine litter requires multi-stakeholder involvement at national and subnational levels. Collaborative governance approaches are important, but often fail without adequate effort towards identifying and engaging stakeholders with appropriate profiles for the issue at stake. Stakeholder Analysis (SA) is increasingly used to ensure efficient governance arrangements. Our hypothesis is that SA contributes to collaborative governance processes for marine litter policies. We explored a pioneer participatory process in Brazil, where SA was applied to identify, categorize, and prioritize stakeholders, and analyze their power and interest, for the Strategic Plan for Monitoring and Assessing Marine Litter in the state of São Paulo. A top-down/bottom-up approach revealed that snowball sampling complemented the stakeholder assemblage identified by the consultation of experts. Prioritization of data-related stakeholders streamlined the participatory process. The interest-power matrix evaluated stakeholders' influences, guiding specific engagement strategies. We highlight the significance of SA in collaborative governance and mobilizing key stakeholders for effective marine litter monitoring initiatives, contributing to the global agenda to combat marine pollution.

Marine plastics, circular economy, and artificial intelligence: A comprehensive review of challenges, solutions, and policies

Global plastic production is rapidly increasing, resulting in significant amounts of plastic entering the marine environment. This makes marine litter one of the most critical environmental concerns. Determining the effects of this waste on marine animals, particularly endangered organisms, and the health of the oceans is now one of the top environmental priorities. This article reviews the sources of plastic production, its entry into the oceans and the food chain, the potential threat to aquatic animals and humans, the challenges of plastic waste in the oceans, the existing laws and regulations in this field, and strategies. Using conceptual models, this study looks at a circular economy framework for energy recovery from ocean plastic wastes. It does this by drawing on debates about AI-based systems for smart management. In the last sections of the present research, a novel soft sensor is designed for the prediction of accumulated ocean plastic waste based on social development features and the application of machine learning computations. Plus, the best scenario of ocean plastic waste management with a concentration on both energy consumption and greenhouse gas emissions is discussed using USEPA-WARM modeling. Finally, a circular economy concept and ocean plastic waste management policies are modeled based on the strategies of different countries. We deal with green chemistry and the replacement of plastics derived from fossil sources.

Citizen scientists study beach litter along 12,000 km of the East Pacific coast: A baseline for the International Plastic Treaty

Anthropogenic Marine Litter (AML) accumulating on beaches causes damage to coastal ecosystems and high costs to local communities. Volunteers sampled AML on 130 beaches along the central and southern East Pacific coasts, with AML densities ranging from 0.46 to 2.26 items m-2 in the different countries. AML composition was dominated by plastics and cigarette butts, the latter especially in Mexico and Chile. The accumulation of AML in the upper zones of the beaches and substantial proportions of cigarette butts, glass and metal pointed mainly to local sources. Statistical modelling of litter sources on continental beaches revealed that tourism, access and related infrastructure (e.g. parking lots) best explained AML densities, while plastic densities were also influenced by the distance from river mouths and national Gross Domestic Product. Large-scale monitoring can be a useful tool to evaluate the effectiveness of public policies that should primarily focus on land sources.

Advancing plastic pollution hotspotting at the subnational level: Brazil as a case study in the Global South

Identifying sources is crucial for proposing effective actions to combat marine litter pollution. Here, we used an innovative approach to identify hotspots of mismanaged plastic waste (MPW) within Brazil and subsequent leakage to the ocean, based on population density, socio-economic conditions, municipal solid waste management and environmental parameters. We estimated plastic waste generation and MPW for each of the 5570 Brazilian municipalities, which totaled 3.44 million metric tons per year. Then, we estimated the probability of litter mobilization and transport (P) and the relative risk of leakage to the ocean (MPW × P). The Guanabara Bay and La Plata River comprised the main oceanic entry hotspots of litter produced in Brazil. The use of national databases allowed us to increase spatial and temporal granularity, offering a detailed baseline for the application of prevention and mitigation actions. However, overcoming data limitations is still a challenge in Brazil as in other Global South countries.