Water footprints and crop water use of 175 individual crops for 1990-2019 simulated with a global crop model
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View abstract on PubMed
Summary
This summary is machine-generated.This study quantifies the global water footprint (WF) of 175 crops using an enhanced process-based model. It provides updated data on agricultural water consumption for better resource management and virtual water trade insights.
Area Of Science
- Agricultural Science
- Hydrology
- Environmental Science
Background
- The water footprint (WF) is crucial for assessing agricultural water use and productivity.
- Existing WF datasets require updates and methodological enhancements for greater accuracy.
Purpose Of The Study
- To update and enhance global crop water footprint datasets using a process-based model.
- To quantify consumptive water footprints for 175 crops at a high resolution (5 arcminute) from 1990-2019.
Main Methods
- Application of a global process-based crop model simulating daily growth and water balance.
- Quantification of consumptive water footprints, partitioned into green and blue water components.
- Differentiation between rainfed and irrigated production systems.
Main Results
- Generation of gridded datasets and national averages for unit water footprints (m³ t⁻¹ yr⁻¹), production water footprints (m³ yr⁻¹), and crop water use (mm yr⁻¹).
- Comparison of new estimates with previous global studies covering different time periods and methodologies.
- Detailed insights into spatial and temporal patterns of agricultural water consumption.
Conclusions
- The enhanced WF datasets provide valuable, high-resolution data on agricultural water consumption.
- Outputs can inform virtual water trade studies, life cycle assessments, and water resource management.
- Methodological advancements offer improved accuracy for global water footprint assessments.
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