Articles | Volume 15, issue 11
https://doi.org/10.5194/essd-15-4803-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-4803-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
31 Oct 2023
Data description article |
| 31 Oct 2023
| 31 Oct 2023
A gridded dataset of consumptive water footprints, evaporation, transpiration, and associated benchmarks related to crop production in China during 2000–2018
Wei Wang
The Research Center of Soil and Water Conservation and Ecological Environment, Chinese Academy of Sciences and Ministry of Education, Yangling, Shaanxi 712100, China
Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China
University of Chinese Academy of Sciences, Beijing 100049, China
La Zhuo
CORRESPONDING AUTHOR
The Research Center of Soil and Water Conservation and Ecological Environment, Chinese Academy of Sciences and Ministry of Education, Yangling, Shaanxi 712100, China
Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China
University of Chinese Academy of Sciences, Beijing 100049, China
College of Soil and Water Conservation Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Xiangxiang Ji
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Zhiwei Yue
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Zhibin Li
The Research Center of Soil and Water Conservation and Ecological Environment, Chinese Academy of Sciences and Ministry of Education, Yangling, Shaanxi 712100, China
Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China
University of Chinese Academy of Sciences, Beijing 100049, China
Meng Li
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Huimin Zhang
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Rong Gao
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Chenjian Yan
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Ping Zhang
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Pute Wu
CORRESPONDING AUTHOR
Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China
College of Soil and Water Conservation Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
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Total article views: 5,254 (including HTML, PDF, and XML)
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Total article views: 3,466 (including HTML, PDF, and XML)
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Total article views: 1,788 (including HTML, PDF, and XML)
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Cited
12 citations as recorded by crossref.
- Water-saving strategies across prefectures should target the manufacturing and agriculture sectors in China Z. Zhang et al. https://doi.org/10.1038/s43247-025-02292-3
- Warming Reshapes Land-Atmosphere Coupling: The LST-SM-ET-GPP Framework R. Mi et al. https://doi.org/10.3390/atmos17040352
- The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019 M. Wang & W. Shi https://doi.org/10.1038/s41597-024-04185-0
- Regional scale multi-crop water footprint quantification based on improved WOFOST model and remote sensing data assimilation X. Chen et al. https://doi.org/10.1016/j.agrformet.2025.110691
- Global spatially explicit crop water consumption shows an overall increase of 9% for 46 agricultural crops from 2010 to 2020 A. Chukalla et al. https://doi.org/10.1038/s43016-025-01231-x
- Widely cited global irrigation statistics lack empirical support A. Puy et al. https://doi.org/10.1093/pnasnexus/pgaf323
- Multi-scale machine learning model for long-term blue and green water consumption scenarios for crop production Z. Li et al. https://doi.org/10.1016/j.jia.2026.04.015
- Dietary differences amplify the water stress impacts of virtual water trade in the yellow river basin D. Ren et al. https://doi.org/10.1038/s41598-025-28020-7
- Water-saving irrigated area expansion hardly enhances crop yield while saving water under climate scenarios in China Z. Yue et al. https://doi.org/10.1038/s43247-025-02279-0
- The AIDA 1 km resolution crop-specific rainfed and irrigated areas and green and blue water demands for Italy N. Galli et al. https://doi.org/10.1038/s41597-025-05390-1
- Opportunity for mitigating soil loss by water erosion in cropland through crop switching and improved management in China K. Li et al. https://doi.org/10.1016/j.geosus.2025.100262
- Resilience assessment of interprovincial crop virtual water flow network in China H. Huang et al. https://doi.org/10.1016/j.agwat.2025.109456
12 citations as recorded by crossref.
- Water-saving strategies across prefectures should target the manufacturing and agriculture sectors in China Z. Zhang et al. https://doi.org/10.1038/s43247-025-02292-3
- Warming Reshapes Land-Atmosphere Coupling: The LST-SM-ET-GPP Framework R. Mi et al. https://doi.org/10.3390/atmos17040352
- The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019 M. Wang & W. Shi https://doi.org/10.1038/s41597-024-04185-0
- Regional scale multi-crop water footprint quantification based on improved WOFOST model and remote sensing data assimilation X. Chen et al. https://doi.org/10.1016/j.agrformet.2025.110691
- Global spatially explicit crop water consumption shows an overall increase of 9% for 46 agricultural crops from 2010 to 2020 A. Chukalla et al. https://doi.org/10.1038/s43016-025-01231-x
- Widely cited global irrigation statistics lack empirical support A. Puy et al. https://doi.org/10.1093/pnasnexus/pgaf323
- Multi-scale machine learning model for long-term blue and green water consumption scenarios for crop production Z. Li et al. https://doi.org/10.1016/j.jia.2026.04.015
- Dietary differences amplify the water stress impacts of virtual water trade in the yellow river basin D. Ren et al. https://doi.org/10.1038/s41598-025-28020-7
- Water-saving irrigated area expansion hardly enhances crop yield while saving water under climate scenarios in China Z. Yue et al. https://doi.org/10.1038/s43247-025-02279-0
- The AIDA 1 km resolution crop-specific rainfed and irrigated areas and green and blue water demands for Italy N. Galli et al. https://doi.org/10.1038/s41597-025-05390-1
- Opportunity for mitigating soil loss by water erosion in cropland through crop switching and improved management in China K. Li et al. https://doi.org/10.1016/j.geosus.2025.100262
- Resilience assessment of interprovincial crop virtual water flow network in China H. Huang et al. https://doi.org/10.1016/j.agwat.2025.109456
Saved (final revised paper)
Latest update: 13 Jun 2026
Short summary
The consumptive water footprint of crop production (WFCP) measures blue and green evapotranspiration of either irrigated or rainfed crops in time and space. A gridded monthly WFCP dataset for China is established. There are four improvements from existing datasets: (i) distinguishing water supply modes and irrigation techniques, (ii) distinguishing evaporation and transpiration, (iii) consisting of both total and unit WFCP, and (iv) providing benchmarks for unit WFCP by climatic zones.
The consumptive water footprint of crop production (WFCP) measures blue and green...
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