Global irrigation contribution to wheat and maize yield
Open Access
- 23 February 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Nature Communications
- Vol. 12 (1), 1-8
- https://doi.org/10.1038/s41467-021-21498-5
Abstract
Irrigation is the largest sector of human water use and an important option for increasing crop production and reducing drought impacts. However, the potential for irrigation to contribute to global crop yields remains uncertain. Here, we quantify this contribution for wheat and maize at global scale by developing a Bayesian framework integrating empirical estimates and gridded global crop models on new maps of the relative difference between attainable rainfed and irrigated yield (ΔY). At global scale, ΔY is 34 ± 9% for wheat and 22 ± 13% for maize, with large spatial differences driven more by patterns of precipitation than that of evaporative demand. Comparing irrigation demands with renewable water supply, we find 30–47% of contemporary rainfed agriculture of wheat and maize cannot achieve yield gap closure utilizing current river discharge, unless more water diversion projects are set in place, putting into question the potential of irrigation to mitigate climate change impacts.Keywords
This publication has 49 references indexed in Scilit:
- Carbon emissions from land use and land-cover changeBiogeosciences (online), 2012
- Closing yield gaps through nutrient and water managementNature, 2012
- Global food demand and the sustainable intensification of agricultureProceedings of the National Academy of Sciences of the United States of America, 2011
- Quantifying blue and green virtual water contents in global crop production as well as potential production losses without irrigationJournal of Hydrology, 2010
- MIRCA2000—Global monthly irrigated and rainfed crop areas around the year 2000: A new high‐resolution data set for agricultural and hydrological modelingGlobal Biogeochemical Cycles, 2010
- Water for Agriculture: Maintaining Food Security under Growing ScarcityAnnual Review of Environment and Resources, 2009
- Using Bayesian Model Averaging to Calibrate Forecast EnsemblesMonthly Weather Review, 2005
- Meeting Cereal Demand While Protecting Natural Resources and Improving Environmental QualityAnnual Review of Environment and Resources, 2003
- Global Water Demand and Supply ProjectionsWater International, 2002
- Comparing Simulated and Measured Values Using Mean Squared Deviation and its ComponentsAgronomy Journal, 2000