Spatiotemporal responses of the crop water footprint and its associated benchmarks under different irrigation regimes to climate change scenarios in China
Abstract 3 t- 1 2 concentration in 2080s under RCP8.5. The WF will increase the most for rain-fed crops. Relative to rain-fed crops, micro-irrigation and sprinkler irrigation result in the smallest increases in the WF for maize and wheat, respectively. These water-saving management techniques will mitigate the negative impact of climate change more effectively. The WF benchmarks for maize and wheat in the humid zone (an approximate overall average of 680 m3 t- 1 3 t- 1 3 t- 1 3 t- 1 3 t- 1 3 t- 1 for micro-irrigated wheat. Nevertheless, the WF benchmarks will not respond to climate changes as dramatically as the WF in the same area, especially in areas with limited agricultural development. The present study demonstrated that the observed different responses to climate change in terms of crop water consumption, water use efficiency, and WF benchmarks under different irrigation regimes cannot be ignored. It also lays the foundation for future investigations into the influences of irrigation methods, RCPs, and crop types on the WF and its benchmarks in response to climate change in all agricultural regions worldwide.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Spatiotemporal responses of the crop water footprint and its associated benchmarks under different irrigation regimes to climate change scenarios in China ; volume:26 ; number:18 ; year:2022 ; pages:4637-4656 ; extent:20
Hydrology and earth system sciences ; 26, Heft 18 (2022), 4637-4656 (gesamt 20)
- Urheber
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Yue, Zhiwei
Ji, Xiangxiang
Zhuo, La
Wang, Wei
Li, Zhibin
Wu, Pute
- DOI
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10.5194/hess-26-4637-2022
- URN
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urn:nbn:de:101:1-2022092905260743559290
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:25 MESZ
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Beteiligte
- Yue, Zhiwei
- Ji, Xiangxiang
- Zhuo, La
- Wang, Wei
- Li, Zhibin
- Wu, Pute
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