September 2020

Global Pesticide Grids (PEST-CHEMGRIDS), v1.01 (2015, 2020, 2025)


PURPOSE

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.


DESCRIPTION

The Global Pesticide Grids (PEST-CHEMGRIDS), Version 1.01 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.


ACCESSING THE DATA

The data may be downloaded at https://sedac.ciesin.columbia.edu/data/set/ferman-v1-pest-chemgrids-v1-01/data-download


DATA FORMAT

This archive contains the data in GeoTIFF and netCDF-4 formats.

The data files are compressed zipfiles. Downloaded files need to be uncompressed in a single folder using either WinZip (Windows file compression utility) or similar application. Users should expect an increase in the size of downloaded data after decompression. 


DATA FILE NAMING CONVENTION

APR_X_Y_Z_K.EXT
QI_X_Y_Z_K.EXT
X _HarvestedArea.EXT
where ‘APR” and ‘QI” stand for application rate and quality index, respectively, X is the crop, Y is the active ingredient, Z is the year, and K is the high (H) or low (L) estimate, while EXT is the file extension.


DATA UNITS

For application rate (APR), the unit is kilogram per hectare per year (kg/ha-year), and for crops (harvest area), the unit is hectare (ha).


SPATIAL EXTENT

Global 5 arc-minute resolution (about 10 km at the equator).


DISCLAIMER

CIESIN follows procedures designed to ensure that data disseminated by CIESIN are of reasonable quality. If, despite these procedures, users encounter apparent errors or misstatements in the data, they should contact SEDAC User Services at ciesin.info@ciesin.columbia.edu. Neither CIESIN nor NASA verifies or guarantees the accuracy, reliability, or completeness of any data provided. CIESIN provides this data without warranty of any kind whatsoever, either expressed or implied. CIESIN shall not be liable for incidental, consequential, or special damages arising out of the use of any data provided by CIESIN.


USE CONSTRAINTS

This work is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.


RECOMMENDED CITATION(S)

Data Set:

Maggi, F., F. H. M. Tang, D. la Cecilia and A. McBratney. 2020. Global Pesticide Grids (PEST-CHEMGRIDS), Version 1.01. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/weq9-pv30. Accessed DAY MONTH YEAR.


Scientific Publication: 

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.