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

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

本研究旨在估算水资源匮乏与丰沛区域内小尺度及大尺度农业的地理分布格局，及其蓝水（blue water）与绿水（green water）消耗量，同时评估作物面临的水分胁迫（由蓝水短缺引发的胁迫）与土壤肥力胁迫。本研究整合了三种小尺度农业的定义，并采用土壤肥力增强型作物模型估算作物产量与耗水量。
本数据集包含55个国家的国家级与栅格级计算结果。作物模型代码为开源代码，可于GitHub（https://github.com/Han-Su22/ACEA）免费获取，同时已通过知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International license）存档于Zenodo平台（DOI：10.5281/zenodo.10510933）。本研究中复现结果所需的全部代码、输入数据与输出数据，将在论文发表后至少10年内存档于特文特大学多学科水资源管理（Multidisciplinary Water Management, MWM）团队。该MWM团队将应任何需求者的请求，公开相关代码与数据。
详细的方法描述与分析内容正在筹备/审稿中，论文录用后我们将在此处更新相关内容。