Puy, Arnald and Lankford, Bruce and Meier, Jonas and van der Kooij, Saskia and Saltelli, Andrea (2022) Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies. Environmental Research Letters, 17 (044014), pp. 1-12. Institute of Physics (IOP) Publishing. doi: 10.1088/1748-9326/ac5768. ISSN 1748-9326.
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Official URL: https://iopscience.iop.org/article/10.1088/1748-9326/ac5768
Abstract
An assessment of the human impact on the global water cycle requires estimating the volume of water withdrawn for irrigated agriculture. A key parameter in this calculation is the irrigation efficiency, which corrects for the fraction of water lost between irrigation withdrawals and the crop due to management, distribution or conveyance losses. Here we show that the irrigation efficiency used in global irrigation models is flawed for it overlooks key ambiguities in partial efficiencies, irrigation technologies, the definition of "large-scale" irrigated areas or managerial factors. Once accounted for, these uncertainties can make irrigation withdrawal estimates fluctuate by more than one order of magnitude at the country level. Such variability is larger and leads to more extreme values than that caused by the uncertainties related with climate change. Our results highlight the need to embrace deep uncertainties in irrigation efficiency to prevent the design of shortsighted policies at the river basin-water-agricultural interface.
| Item URL in elib: | https://elib.dlr.de/185411/ | ||||||||||||||||||||||||
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| Document Type: | Article | ||||||||||||||||||||||||
| Title: | Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies | ||||||||||||||||||||||||
| Authors: |
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| Date: | 14 March 2022 | ||||||||||||||||||||||||
| Journal or Publication Title: | Environmental Research Letters | ||||||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||||||
| Gold Open Access: | Yes | ||||||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||||||
| Volume: | 17 | ||||||||||||||||||||||||
| DOI: | 10.1088/1748-9326/ac5768 | ||||||||||||||||||||||||
| Page Range: | pp. 1-12 | ||||||||||||||||||||||||
| Publisher: | Institute of Physics (IOP) Publishing | ||||||||||||||||||||||||
| ISSN: | 1748-9326 | ||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||
| Keywords: | sensitivity analysis, agriculture, water sustainability, climate change | ||||||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||
| DLR - Research theme (Project): | R - Remote Sensing and Geo Research | ||||||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||||||
| Institutes and Institutions: | German Remote Sensing Data Center > Land Surface Dynamics | ||||||||||||||||||||||||
| Deposited By: | Meier, Jonas | ||||||||||||||||||||||||
| Deposited On: | 17 May 2022 10:37 | ||||||||||||||||||||||||
| Last Modified: | 16 Aug 2022 11:47 |
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