An accurate understanding of areas in a landscape where an agrochemical will be applied is key to characterizing the potential risk to non-target species and their associated habitats. Spatial datasets available can be used either in isolation, or supplemented with other spatial and non-spatial data sources, to represent a realistic portrayal of land use and pesticide use. A case study was conducted to explore the use of spatial and non-spatial data layers to characterize the use area and potential for non-target exposures. Refinements explored in the case study include combinations, aggregations, and applications of the Cropland Data Layer, Census of Agriculture, National Land Cover Dataset, imagery, and pesticide use data. Changes in land use over time as well as land use trends were explored to improve estimates of the potential areas exposed during appropriate time scales for agricultural activities.

Characterizing land use for pesticide risk assessments

254th National Meeting (2017)

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