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

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 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/de21d6c2-95f7-42e5-a3cf-f5b66b559924.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

choose version: 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 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, 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

Files (2)