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Extreme surface solar ultraviolet radiation events reduce maize yields in China

文献类型: 外文期刊

作者: Guan, Haixiang 1 ; Zhu, Peng 2 ; Huang, Jianxi 1 ; Jin, Zhenong 5 ; Ma, Yuyang 6 ; Li, Xuecao 1 ; Zeng, Yelu 1 ; Su, Wei 1 ; Miao, Shuangxi 1 ; Wu, Wenbin 7 ; Wu, Bingfang 9 ;

作者机构: 1.China Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China

2.Univ Hong Kong, Dept Geog & Earth Sci, Hong Kong, Peoples R China

3.Southwest Jiaotong Univ, Fac Geosci & Engn, Chengdu, Peoples R China

4.Minist Agr & Rural Affairs, Key Lab Remote Sensing Agrihazards, Beijing, Peoples R China

5.Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Beijing, Peoples R China

6.China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Peoples R China

7.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing, Peoples R China

8.Minist Agr, Key Lab Agr Remote Sensing, Beijing, Peoples R China

9.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing, Peoples R China

10.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China

期刊名称:COMMUNICATIONS EARTH & ENVIRONMENT ( 影响因子:8.9; 五年影响因子:9.5 )

ISSN:

年卷期: 2025 年 6 卷 1 期

页码:

收录情况: SCI

摘要: Over recent decades, changes in atmospheric ozone and climate have substantially altered surface solar ultraviolet radiation, but the impacts of these changes on crop yields remain unclear. Here we analyze climate data and maize yields from 1992 to 2018 across China to quantify how extreme ultraviolet radiation events-periods of exceptionally high ultraviolet exposure-affect maize production. We show that maize yields decline by about 0.72% for each 1% increase in these events, especially during critical mid-growing stages, although higher soil moisture can reduce this damage. By the 2030 s, extreme ultraviolet radiation could reduce yields by 1.4% and 2.17%, with losses increasing substantially under moderate dry (by 51%) and severe heat stress (by 124%). These findings underscore the necessity of accounting for changes in ultraviolet radiation to improve the accuracy of yield projections.

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