Short-term extreme heat at flowering amplifies the impacts of climate change on maize production

被引:12
|
作者
Luo, Ning [1 ]
Mueller, Nathan [2 ,3 ]
Zhang, Yi [4 ]
Feng, Puyu [5 ]
Huang, Shoubing [1 ]
Liu, De Li [6 ,7 ]
Yu, Yonghong [1 ]
Wang, Xingya [1 ]
Wang, Pu [1 ]
Meng, Qingfeng [1 ]
机构
[1] China Agr Univ, Coll Agron & Biotechnol, Beijing, Peoples R China
[2] Colorado State Univ, Dept Ecosyst Sci & Sustainabil, Ft Collins, CO USA
[3] Colorado State Univ, Dept Soil & Crop Sci, Ft Collins, CO USA
[4] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
[5] China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China
[6] Wagga Wagga Agr Inst, New South Wales Dept Primary Ind, Wagga Wagga, NSW, Australia
[7] UNSW Sydney, Climate Change Res Ctr, Sydney, NSW, Australia
关键词
agriculture; food security; heat stress; process-based model; statistical model; YIELD GAPS; FOOD SECURITY; IN-VITRO; TEMPERATURE; ADAPTATION; STRESS; MODEL; WHEAT; AGRICULTURE; UNCERTAINTY;
D O I
10.1088/1748-9326/ace7e3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Extreme weather poses a threat to global crop production, food security and farmer livelihoods. High temperatures have been identified as detrimental to crop yields; however, how heat stress during the critical flowering stage will influence future maize (Zea mays L.) yields remains unclear. Here, we combined statistical and process-based models to assess impacts of short-term extreme heat at flowering on Chinese maize yield under climate change. We showed that heat around flowering has a stronger impact on yields than heat at other times in the growing season, especially for temperatures >30 & DEG;C. Heat stress during flowering was responsible for 23% of total yield loss from extreme degree days (EDDs) in 1990-2012. An improved process-based model (Agricultural Production Systems sIMulator (APSIM)-maize) incorporating a grain-temperature function was then applied and indicated that extreme heat at flowering amplified the impacts of climate change on maize production compared to the original model. The improved APSIM-maize predicted an 8.7% yield reduction across the Chinese Maize Belt as EDDs increased more than quadrupled at the end of the century (2070-2099) under a high emissions pathway (SSP585) in comparison with the baseline period (1990-2019). Our study highlights the importance of extreme heat at flowering on maize yield and can inform farmers and policy makers on adaptive measures as well as providing a reference for other crop areas facing similar challenges.
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页数:13
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