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From Plastics to Micro- and Nano-Plastics: Mapping Agricultural Pollution Risk in a Mediterranean Region of Italy
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A GIS-based analysis of Apulia, Italy estimated agricultural plastic waste generation across land use types and mapped micro- and nano-plastic pollution risk, finding highest risks in vineyards, orchards, and greenhouse systems — particularly in the provinces of Foggia and Bari. This spatial risk index provides a practical decision-support tool for prioritizing regions where agricultural plastic management must be improved to prevent microplastic contamination of soils and waterways.
Agricultural plastic waste (APW) is an emerging source of soil pollution and potential micro- and nano-plastic (MNP) contamination in agroecosystems. This study focuses on the Apulia region in southern Italy, a key horticultural and viticultural area with intensive plastic use. Annual APW was estimated for each agricultural feature using a detailed 1:5000 land use map, crop distribution data, and validated plastic waste indices for several plastic application types. The analysis was integrated within a Geographic Information System (GIS) and combined with relative risk indices (RRIs) to compute and map the agricultural plastic pollution risk index (APPRI), a semi-quantitative indicator designated to estimate the potential release of MNPs from agricultural plastics. The APPRI is obtained by multiplying the APW estimates by the RRIs. The results show a clear spatial heterogeneity in plastic waste generation, with the highest APPRI values in vineyards, orchards, olive groves, and greenhouse systems, particularly in the provinces of Foggia and Bari. Cereal-based cropping systems exhibited the lowest risk values. The study proposes an innovative approach, combining land use, APW, and related potential risk into a single mapping tool. This allows for effectively identifying regional hotspots where management and recycling strategies should be prioritized. This GIS-based tool for assessing and visualizing agricultural plastic pollution risk can support evidence-based decision-making and sustainable waste management in agricultural landscapes.
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