This project synthesizes publicly available datasets to better describe patterns of pesticide use in U.S. agriculture over space and time. One outcome is an index of pesticide toxicity to bees that translates insecticide use into honey bee lethal doses. We also provide reclass tables and a methodology to generate maps of predicted pesticide use (individual active ingredients or aggregate insecticides) by matching pesticide use estimates to the Cropland Data Layer. We make these datasets available to the pollinator research community to build better landscape models of pollinator health, and ultimately to inform pollinator conservation.
The output datasets generated by the code documented here are available via figshare.
This website is licensed under Creative Commons Attribution 1.0 Universal Public Domain Dedication (CC0 1.0).
Please cite/attribute this work as follows:
Douglas, M., Baisley, P., Soba, S., Kammerer, M., Lonsdorf, E. and Grozinger, C. 2022. Putting pesticides on the map for pollinator research and conservation. Scientific Data: 9(571). https://doi.org/10.1038/s41597-022-01584-z
Corresponding author:
Maggie Douglas, Assistant Professor, Environmental Studies & Environmental Science, Dickinson College
This project was supported by the following funding agencies:
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