- To provide a global gridded data set of commonly-used agricultural pesticides crucial to assess human and ecosystem exposure to potential toxicants for environmental modeling, assessment of agricultural chemical contamination and risk analysis, and other related research at global, regional, national, and local levels.
- The Global Pesticide Grids (PEST-CHEMGRIDS), Version 1.01 data set contains 20 of the most-used pesticide active ingredients on 6 dominant crops and 4 aggregated crop classes at 5 arc-minute resolution (about 10 km at the equator), estimated in year 2015, and then projected to 2020 and 2025. To estimate the global application rates of specific active ingredients, spatial statistical methods were used to re-analyze the U.S. Geological Survey Pesticide National Synthesis Project (USGS/PNSP) and the Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) pesticide databases, along with other public inventories including globally gridded data of soil physical properties, hydro-climatic variables, agricultural quantities, and socioeconomic indices. The application rate (APR) of each active ingredient on each crop is in kilogram per hectare per year (kg/ha-year), and the harvest area of each crop is in hectare (ha). The data set also includes 200 data quality index maps corresponding to each active ingredient on each crop, as well as maps of the 10 dominant crops and 4 aggregated crop classes. Version 1.01 includes data in GeoTIFF and netCDF formats.
- Recommended Citation(s)*:
Maggi, F., F. H. M. Tang, D. la Cecilia and A. McBratney. 2020. Global Pesticide Grids (PEST-CHEMGRIDS), Version 1.01. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/weq9-pv30. Accessed DAY MONTH YEAR.
Maggi, F., F. H. M. Tang, D. la Cecilia and A. McBratney. 2019. PEST-CHEMGRIDS, Global Gridded Maps of the Top 20 Crop-specific Pesticide Application Rates from 2015 to 2025. Scientific Data 6 (170): 1-20. https://doi.org/10.1038/s41597-019-0169-4.
* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.
† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.
- Available Formats:
- raster, map, map service