Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-923-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-923-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Historical simulation of maize water footprints with a new global gridded crop model ACEA
Multidisciplinary Water Management group, Faculty of Engineering
Technology, University of Twente, Enschede, the Netherlands
Joep F. Schyns
Multidisciplinary Water Management group, Faculty of Engineering
Technology, University of Twente, Enschede, the Netherlands
Martijn J. Booij
Multidisciplinary Water Management group, Faculty of Engineering
Technology, University of Twente, Enschede, the Netherlands
Rick J. Hogeboom
Multidisciplinary Water Management group, Faculty of Engineering
Technology, University of Twente, Enschede, the Netherlands
Water Footprint Network, Enschede, the Netherlands
Viewed
Total article views: 4,149 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Jul 2021)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
3,073 | 993 | 83 | 4,149 | 334 | 53 | 69 |
- HTML: 3,073
- PDF: 993
- XML: 83
- Total: 4,149
- Supplement: 334
- BibTeX: 53
- EndNote: 69
Total article views: 3,101 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Feb 2022)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
2,415 | 627 | 59 | 3,101 | 200 | 46 | 56 |
- HTML: 2,415
- PDF: 627
- XML: 59
- Total: 3,101
- Supplement: 200
- BibTeX: 46
- EndNote: 56
Total article views: 1,048 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Jul 2021)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
658 | 366 | 24 | 1,048 | 134 | 7 | 13 |
- HTML: 658
- PDF: 366
- XML: 24
- Total: 1,048
- Supplement: 134
- BibTeX: 7
- EndNote: 13
Viewed (geographical distribution)
Total article views: 4,149 (including HTML, PDF, and XML)
Thereof 3,891 with geography defined
and 258 with unknown origin.
Total article views: 3,101 (including HTML, PDF, and XML)
Thereof 2,932 with geography defined
and 169 with unknown origin.
Total article views: 1,048 (including HTML, PDF, and XML)
Thereof 959 with geography defined
and 89 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
13 citations as recorded by crossref.
- Agricultural drought severity in NE Italy: Variability, bias, and future scenarios G. Sofia et al. 10.1016/j.iswcr.2023.07.003
- Taking the spatio-temporal effects of climate change into account for Life Cycle Assessment of prospective scenarios to secure water supplies in agricultural areas N. Rogy et al. 10.1016/j.scitotenv.2023.169345
- A gridded dataset of consumptive water footprints, evaporation, transpiration, and associated benchmarks related to crop production in China during 2000–2018 W. Wang et al. 10.5194/essd-15-4803-2023
- Spatiotemporal responses of the crop water footprint and its associated benchmarks under different irrigation regimes to climate change scenarios in China Z. Yue et al. 10.5194/hess-26-4637-2022
- Nitrogen inputs by irrigation is a missing link in the agricultural nitrogen cycle and related policies in Europe J. Serra et al. 10.1016/j.scitotenv.2023.164249
- Simulation of crop yield using the global hydrological model H08 (crp.v1) Z. Ai & N. Hanasaki 10.5194/gmd-16-3275-2023
- Inputs for staple crop production in China drive burden shifting of water and carbon footprints transgressing part of provincial planetary boundaries B. Feng et al. 10.1016/j.watres.2022.118803
- Spatial and temporal sensitivity of water footprint assessment in crop production to modelling inputs and parameters Z. Li et al. 10.1016/j.agwat.2022.107805
- WHCrop: A novel water-heat driven crop model for estimating the spatiotemporal dynamics of crop growth for arid region L. He et al. 10.1016/j.agwat.2023.108410
- Regional blue and green water-saving potential and regulation paths for crop production: A case study in the Yellow River Basin Y. Duan et al. 10.1016/j.agwat.2023.108631
- Evolution of global water footprints of crop production in 1990–2019 O. Mialyk et al. 10.1088/1748-9326/ad78e9
- Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model O. Mialyk et al. 10.1038/s41597-024-03051-3
- Revealing Climate-Induced Patterns in Crop Yields and the Water-Energy-Food-Carbon Nexus: Insights from the Pearl River Basin C. Ye et al. 10.3390/w16243693
13 citations as recorded by crossref.
- Agricultural drought severity in NE Italy: Variability, bias, and future scenarios G. Sofia et al. 10.1016/j.iswcr.2023.07.003
- Taking the spatio-temporal effects of climate change into account for Life Cycle Assessment of prospective scenarios to secure water supplies in agricultural areas N. Rogy et al. 10.1016/j.scitotenv.2023.169345
- A gridded dataset of consumptive water footprints, evaporation, transpiration, and associated benchmarks related to crop production in China during 2000–2018 W. Wang et al. 10.5194/essd-15-4803-2023
- Spatiotemporal responses of the crop water footprint and its associated benchmarks under different irrigation regimes to climate change scenarios in China Z. Yue et al. 10.5194/hess-26-4637-2022
- Nitrogen inputs by irrigation is a missing link in the agricultural nitrogen cycle and related policies in Europe J. Serra et al. 10.1016/j.scitotenv.2023.164249
- Simulation of crop yield using the global hydrological model H08 (crp.v1) Z. Ai & N. Hanasaki 10.5194/gmd-16-3275-2023
- Inputs for staple crop production in China drive burden shifting of water and carbon footprints transgressing part of provincial planetary boundaries B. Feng et al. 10.1016/j.watres.2022.118803
- Spatial and temporal sensitivity of water footprint assessment in crop production to modelling inputs and parameters Z. Li et al. 10.1016/j.agwat.2022.107805
- WHCrop: A novel water-heat driven crop model for estimating the spatiotemporal dynamics of crop growth for arid region L. He et al. 10.1016/j.agwat.2023.108410
- Regional blue and green water-saving potential and regulation paths for crop production: A case study in the Yellow River Basin Y. Duan et al. 10.1016/j.agwat.2023.108631
- Evolution of global water footprints of crop production in 1990–2019 O. Mialyk et al. 10.1088/1748-9326/ad78e9
- Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model O. Mialyk et al. 10.1038/s41597-024-03051-3
- Revealing Climate-Induced Patterns in Crop Yields and the Water-Energy-Food-Carbon Nexus: Insights from the Pearl River Basin C. Ye et al. 10.3390/w16243693
Latest update: 06 Jan 2025
Short summary
As the global demand for crops is increasing, it is vital to understand spatial and temporal patterns of crop water footprints (WFs). Previous studies looked into spatial patterns but not into temporal ones. Here, we present a new process-based gridded crop model to simulate WFs and apply it for maize in 1986–2016. We show that despite the average unit WF reduction (−35 %), the global WF of maize production has increased (+50 %), which might harm ecosystems and human livelihoods in some regions.
As the global demand for crops is increasing, it is vital to understand spatial and temporal...