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.v2
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 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/de21d6c2-95f7-42e5-a3cf-f5b66b559924.v2
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Dataset
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version 2 - 2024-03-28 (latest)
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 results (55 countries). Code and gridded output will be available upon request.


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

history
  • 2024-01-08 first online
  • 2024-03-28 published, posted
publisher
4TU.ResearchData
format
*.csv
organizations
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

DATA

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