Data underlying the publication: Small-scale and large-scale agriculture across water-scarce and water-abundant regions

doi: 10.4121/de21d6c2-95f7-42e5-a3cf-f5b66b559924.v3
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/de21d6c2-95f7-42e5-a3cf-f5b66b559924
Datacite citation style:
Su, Han; Foster, Timothy; Hogeboom, Rick J.; Luna-Gonzalez , Diana; Willaarts, Bárbara et. al. (2024): Data underlying the publication: Small-scale and large-scale agriculture across water-scarce and water-abundant regions. Version 3. 4TU.ResearchData. dataset.
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version 3 - 2024-05-14 (latest)
version 2 - 2024-03-28 version 1 - 2024-01-08

We aim to estimate the geographic distribution of small-scale and large-scale agriculture across water-scarce and water-abundant regions, their blue and green water consumption, and the water stress (stress from a lack of blue water) and soil fertility stress on their crop. We combined three definitions of small-scale agriculture and used a soil fertility-enhanced crop model to estimate crop production and water consumption. 

This dataset contains country-level and grid-level results (55 countries). Crop code is open source and freely available on GitHub ( which is also archived in Zenado (DOI: 10.5281/zenodo.10510933) via a Creative Commons Attribution 4.0 International license. All the code, input data, and output data required to reproduce the results in this study will be archived for at least 10 years after publication within the University of Twente, Multidisciplinary Water Management (MWM) group. The MWM group will make the code and data available to anyone upon request.

A detailed method description and analysis are under preparation/review. We will update it here upon acceptance.

  • 2024-01-08 first online
  • 2024-05-14 published, posted
University of Twente, Faculty of Engineering Technology (ET), Multidisciplinary Water Management (MWM); University of Manchester, Department of Mechanical, Aerospace & Civil Engineering; Water Footprint Network, Enschede, NL; Stockholm University, Stockholm Resilience Centre; International Institute for Applied Systems Analysis (IIASA), Austria; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences


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