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Neonicotinoid insecticides are a major driver of pollinator decline. Due to their persistence and mobility in soil, they can contaminate non-target vegetation through runoff or dust, reaching pollinator resources. However, predicting soil contamination is challenging, especially where pesticide use data is lacking. This study assessed the potential of using proxies such as cropping history and landscape structure to predict neonicotinoid content in soils. We analyzed seven neonicotinoids in 86 sites in agricultural landscapes of Belgium.
