Global irrigation contribution to wheat and maize yield

被引:157
|
作者
Wang, Xuhui [1 ]
Mueller, Christoph [2 ]
Elliot, Joshua [3 ,4 ,5 ]
Mueller, Nathaniel D. [6 ,7 ]
Ciais, Philippe [1 ,8 ]
Jaegermeyr, Jonas [3 ,4 ,5 ]
Gerber, James [9 ]
Dumas, Patrice [10 ]
Wang, Chenzhi [1 ]
Yang, Hui [1 ,8 ]
Li, Laurent [11 ]
Deryng, Delphine [12 ]
Folberth, Christian [13 ]
Liu, Wenfeng [14 ]
Makowski, David [15 ]
Olin, Stefan [16 ]
Pugh, Thomas A. M. [16 ]
Reddy, Ashwan [17 ]
Schmid, Erwin [18 ]
Jeong, Sujong [19 ]
Zhou, Feng [1 ]
Piao, Shilong [1 ,20 ,21 ]
机构
[1] Peking Univ, Sino French Inst Earth Syst Sci, Beijing 100871, Peoples R China
[2] Potsdam Inst Climate Impact Res, D-14473 Potsdam, Germany
[3] Univ Chicago, Chicago, IL 60637 USA
[4] ANL Computat Inst, Chicago, IL 60637 USA
[5] Columbia Univ, Ctr Climate Syst Res, New York, NY 10025 USA
[6] Colorado State Univ, Dept Ecosyst Sci & Sustainabil, Ft Collins, CO 80523 USA
[7] Colorado State Univ, Dept Soil & Crop Sci, Ft Collins, CO 80523 USA
[8] CNRS, CEA, UVSQ Orme Merisiers, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France
[9] Univ Minnesota, Inst Environm, St Paul, MN 55108 USA
[10] Ctr Int Rech Environmt & Dev, F-94130 Nogent Sur Marne, France
[11] Univ Paris 06, Lab Meteorol Dynam, F-75005 Paris, France
[12] Climate Analyt, D-10969 Berlin, Germany
[13] Ludwig Maximilians Univ Munchen, Dept Geog, D-80333 Munich, Germany
[14] China Agr Univ, Coll Water Resources & Civil Engn, Beijing 100083, Peoples R China
[15] Univ Paris Saclay, INRA, AgroParisTech, UMR Agron 211, F-78850 Thiverval Grignon, France
[16] Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden
[17] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[18] Univ Nat Resources & Life Sci, Inst Sustainable Econ Dev, A-1180 Vienna, Austria
[19] Seoul Natl Univ, Grad Sch Environm Studies, Dept Environm Planning, Seoul, South Korea
[20] Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing 100085, Peoples R China
[21] Chinese Acad Sci, Ctr Excellence Tibetan Earth Sci, Beijing 100085, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
CROP MODELS; LAND-USE; WATER; EXPANSION; IMPACTS; DEMAND;
D O I
10.1038/s41467-021-21498-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 (Delta Y). At global scale, Delta Y is 349% 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. There are big uncertainties in the contribution of irrigation to crop yields. Here, the authors use Bayesian model averaging to combine statistical and process-based models and quantify the contribution of irrigation for wheat and maize yields, finding that irrigation alone cannot close yield gaps for a large fraction of global rainfed agriculture.
引用
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页数:8
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