Originator: United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) Publication_Date: 20240131 Title: 2023 Cropland Data Layer Edition: 2023 Edition Geospatial_Data_Presentation_Form: raster digital data Publication_Information: Publication_Place: USDA NASS Marketing and Information Services Office, Washington, D.C. Publisher: USDA NASS
Public Domain
Argricultural Production Data (World)
A spatial production allocation model designed to provide detailed information about the geographic distribution of major crops. Year: 2020
International Food Policy Research Institute (IFPRI), 2024, "Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0, https://doi.org/10.7910/DVN/SWPENT , Harvard Dataverse, V3
These models are used by CommodityMap to identify where environmental and social issues are occuring.
Environmental Issues
Category
Descripton
Dataset name
Attribution
License
Biodiversity
Biodiversity Hotspots are regions where at least 1,500 vascular plants as endemics and must have 30% or less of its original natural vegetation. Year: 2016
This dataset represents a set of priority terrestrial areas identified for conservation based on their rich biodiversity and ecological significance. Year: 2004
World Wildlife Fund - Global 200 (terrestrial) Ecoregions Credits: World Wildlife Fund - US Publication Date: 2004 Publisher: World Wildlife Fund Other Citation Info: Olson, D.M., E. Dinerstein, E.D. Wikramanayake, N.D. Burgess, G.V.N. Powell, E.C. Underwood, J.A. D'Amico, H.E. Strand, J.C. Morrison, C.J. Loucks, T.F. Allnutt, J.F. Lamoreux, T.H. Ricketts, I. Itoua, W.W. Wettengel, Y. Kura, P. Hedao, and K. Kassem. 2001. Terrestrial ecoregions of the world: A new map of life on Earth. BioScience 51(11):933-938.
The Aqueduct™ water risk framework combines 13 water risk indicators—including quantity, quality, and reputational risks—into a composite overall water risk score Year: 2023
Kuzma, S., M.F.P. Bierkens, S. Lakshman, T. Luo, L. Saccoccia, E. H. Sutanudjaja, and R. Van Beek. 2023. “Aqueduct 4.0: Updated decision-relevant global water risk indicators.” Technical Note. Washington, DC: World Resources Institute. Available online at: doi.org/10.46830/ writn.23.00061.
This dataset shows shows the dominant driver of tree cover loss from 2001-2022 using these two categories: commodity-driven deforestation: Large-scale deforestation linked primarily to commercial agricultural expansion.Shifting agriculture: Temporary loss or permanent deforestation due to small- and medium-scale agriculture. Year: 2022
Curtis, P.G., C.M. Slay, N.L. Harris, A. Tyukavina, and M.C. Hansen. 2018. “Classifying Drivers of Global Forest Loss.” Science. Accessed through Global Forest Watch on 2023. www.globalforestwatch.org."
The Bureau of International Labor Affairs (ILAB) maintains a list of goods and their source countries which it has reason to believe are produced by child labor or forced labor in violation of international standards. Data only available outside the USA and listed at the country level. Year: 2022
Public Domain (Disclaimer: The opinions expressed in this application are not the opinions of the U.S. Department of Labor (USDOL).)
Governamce
The Worldwide Governance Indicators (WGI) aim to assess and measure the quality of governance in countries worldwide by providing a comprehensive set of indicators capturing various aspects of political, economic, and institutional governance. Year: 2022
The FAO Trade Matrix is a database managed by the Food and Agriculture Organization, offering comprehensive information on international trade in agricultural products, facilitating analysis of trade patterns and movements of various food and agricultural commodities globally. Year: 2022