Building soil to reduce climate change impacts on global crop yield

被引:14
|
作者
Deng, Xi [1 ]
Huang, Yao [2 ,3 ]
Yuan, Wenping [1 ]
Zhang, Wen [3 ]
Ciais, Philippe [4 ]
Dong, Wenjie [1 ]
Smith, Pete [5 ]
Qin, Zhangcai [1 ]
机构
[1] Sun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Key Lab Trop Atmosphere Ocean Syst,Minist Educ, Zhuhai 519000, Peoples R China
[2] Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Inst Bot, Beijing 100093, Peoples R China
[3] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atmo, Beijing 100029, Peoples R China
[4] Univ Paris Saclay, Lab Sci Climat & Environm, LSCE, IPSL,CEA,CNRS,UVSQ, F-91191 Gif Sur Yvette, France
[5] Univ Aberdeen, Inst Biol & Environm Sci, Sch Biol Sci, Aberdeen AB24 3UU, Scotland
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Maize; Wheat; Rice; Soybean; Food security; Yield loss; Yield resilience; Soil organic carbon; ORGANIC-CARBON; AGRICULTURE; METAANALYSIS; STABILITY; SEQUESTRATION; PRODUCTIVITY; MANAGEMENT; CROPLANDS; DYNAMICS; NITROGEN;
D O I
10.1016/j.scitotenv.2023.166711
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Improving soil health and resilience is fundamental for sustainable food production, however the role of soil in maintaining or improving global crop productivity under climate warming is not well identified and quantified. Here, we examined the impact of soil on yield response to climate warming for four major crops (i.e., maize, wheat, rice and soybean), using global-scale datasets and random forest method. We found that each degrees C of warming reduced global yields of maize by 3.4%, wheat by 2.4%, rice by 0.3% and soybean by 5.0%, which were spatially heterogeneous with possible positive impacts. The random forest modeling analyses further showed that soil organic carbon (SOC), as an indicator of soil quality, dominantly explained the spatial heterogeneity of yield responses to warming and would regulate the negative warming responses. Improving SOC under the medium SOC sequestration scenario would reduce the warming-induced yield loss of maize, wheat, rice and soybean to 0.1% degrees C- 1, 2.7% degrees C- 1, 3.4% degrees C- 1 and - 0.6% degrees C- 1, respectively, avoiding an average of 3%-5% degrees C- 1 of global yield loss. These yield benefits would occur on 53.2%, 67.8%, 51.8% and 71.6% of maize, wheat, rice and soybean planting areas, respectively, with particularly pronounced benefits in the regions with negative warming
引用
收藏
页数:10
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