中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatiotemporal distribution of agrometeorological disasters in China and its impact on grain yield under climate change

文献类型:期刊论文

作者Zhao, Yajun2; Zheng, Runhe2; Zheng, Fenli2,6; Zhong, Keyuan3; Fu, Jinxia4,6; Zhang, Jiaqiong2; Flanagan, Dennis C.5; Xu, Ximeng1; Li, Zhi4
刊名INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
出版日期2023-09-01
卷号95页码:15
关键词Agrometeorological disasters (AMDs) Spatiotemporal distribution Meteorological yield Extreme temperature Extreme precipitation
ISSN号2212-4209
DOI10.1016/j.ijdrr.2023.103823
通讯作者Zheng, Fenli(flzh@ms.iswc.ac.cn) ; Fu, Jinxia(fujinxia405@nwafu.edu.cn)
英文摘要Agrometeorological disasters (AMDs) in the context of climate change pose a great threat to agricultural production and food security in China. This study analyzed spatiotemporal characteristics of five types of AMDs (drought, flood, hail, low-temperature freezing and snow (LTFS), and typhoon) in China, assessed the impacts of AMDs on meteorological yield, and explored the influences of extreme climate on AMDs and meteorological yield. The results demonstrated that the total covered rate of AMDs generally showed a decreasing trend from 1978 to 2020 in China. The covered rates of drought, flood, and hail had significant downward trends, while the covered rates of the LTFS and typhoons had insignificant increasing trends. The AMDs' structure in different regions obviously changed after 2010. In addition, Pearson correlation analysis revealed that the covered rates of drought, flood, and typhoon were affected by the extreme precipitation indicators, and hail and LTFS were affected by the extreme temperature indicators. The increases of extreme temperature led to the decrease of the meteorological yield, while the effect of extreme precipitation on meteorological yield varied from region to region. This study provides significant references for guiding disaster mitigation.
WOS关键词METEOROLOGICAL DISASTERS ; EXTREME PRECIPITATION ; FREEZING DISASTER ; TEMPORAL-CHANGES ; JILIN PROVINCE ; CROP YIELD ; TEMPERATURE ; EVENTS ; WHEAT ; DROUGHT
资助项目National Key Ramp;D Program of China[2022YFD1500102] ; National Natural Science Foundation of China[U2243210]
WOS研究方向Geology ; Meteorology & Atmospheric Sciences ; Water Resources
语种英语
WOS记录号WOS:001048826700001
出版者ELSEVIER
资助机构National Key Ramp;D Program of China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/196401]  
专题中国科学院地理科学与资源研究所
通讯作者Zheng, Fenli; Fu, Jinxia
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess Pl, Yangling 712100, Shaanxi, Peoples R China
3.Gannan Normal Univ, Sch Geog & Environm Engn, Ganzhou 341000, Jiangxi, Peoples R China
4.Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Shaanxi, Peoples R China
5.Natl Soil Eros Res Lab, USDA ARS, 275 South Russell St, W Lafayette, IN 47907 USA
6.Northwest A&F Univ, Inst Soil & Water Conservat, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Yajun,Zheng, Runhe,Zheng, Fenli,et al. Spatiotemporal distribution of agrometeorological disasters in China and its impact on grain yield under climate change[J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION,2023,95:15.
APA Zhao, Yajun.,Zheng, Runhe.,Zheng, Fenli.,Zhong, Keyuan.,Fu, Jinxia.,...&Li, Zhi.(2023).Spatiotemporal distribution of agrometeorological disasters in China and its impact on grain yield under climate change.INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION,95,15.
MLA Zhao, Yajun,et al."Spatiotemporal distribution of agrometeorological disasters in China and its impact on grain yield under climate change".INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION 95(2023):15.

入库方式: OAI收割

来源:地理科学与资源研究所

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