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A Fast Track approach to deal with the temporal dimension of crop water footprint
- Source :
- Environmental Research Letters
- Publication Year :
- 2017
- Publisher :
- IOP Publishing, 2017.
-
Abstract
- Population growth, socio-economic development and climate changes are placing increasing pressure on water resources. Crop water footprint is a key indicator in the quantification of such pressure. It is determined by crop evapotranspiration and crop yield, which can be highly variable in space and time. While the spatial variability of crop water footprint has been the objective of several investigations, the temporal variability remains poorly studied. In particular, some studies approached this issue by associating the time variability of crop water footprint only to yield changes, while considering evapotranspiration patterns as marginal. Validation of this Fast Track approach has yet to be provided. In this Letter we demonstrate its feasibility through a comprehensive validation, an assessment of its uncertainty, and an example of application. Our results show that the water footprint changes are mainly driven by yield trends, while evapotranspiration plays a minor role. The error due to considering constant evapotranspiration is three times smaller than the uncertainty of the model used to compute the crop water footprint. These results confirm the suitability of the Fast Track approach and enable a simple, yet appropriate, evaluation of time-varying crop water footprint.
- Subjects :
- water-food nexus
virtual water trade
water footprint uncertainty
temporal variability
yield patterns
010504 meteorology & atmospheric sciences
0208 environmental biotechnology
Climate change
02 engineering and technology
Agricultural engineering
01 natural sciences
Yield (wine)
Evapotranspiration
0105 earth and related environmental sciences
General Environmental Science
2. Zero hunger
Hydrology
Renewable Energy, Sustainability and the Environment
Crop yield
Public Health, Environmental and Occupational Health
020801 environmental engineering
Water resources
Variable (computer science)
13. Climate action
Environmental science
Spatial variability
Water use
Subjects
Details
- ISSN :
- 17489326 and 03091708
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Environmental Research Letters
- Accession number :
- edsair.doi.dedup.....1288fc48985e9f97f96981feb8106523
- Full Text :
- https://doi.org/10.1088/1748-9326/aa6b09