Data underlying the publication: Small-scale and large-scale agriculture across water-scarce and water-abundant regions
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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 (https://github.com/Han-Su22/ACEA) 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 can be found in the paper below (please also cite the paper when using the dataset). Feel free to contact the corresponding author …
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