气候变化领域集成服务门户(CCPortal): Unraveling the spatial-temporal patterns of typhoon impacts on maize during the milk stage in Northeast China in 2020

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DOI	10.1016/j.eja.2024.127169
	Unraveling the spatial-temporal patterns of typhoon impacts on maize during the milk stage in Northeast China in 2020
	Zhang, Qiang; Zhang, Geli; Xiao, Xiangming; Zhang, Yao; You, Nanshan; Di, Yuanyuan; Yang, Tong; He, Yingli; Dong, Jinwei
发表日期	2024
ISSN	1161-0301
EISSN	1873-7331
起始页码	156
卷号	156
英文摘要	Typhoons are increasing in inland areas and affecting agriculture under climate change. Assessing the large-scale impact of typhoons on crops is essential for improving agricultural resilience. However, typhoon impacts are typically intricate and uncertain, depending on the different stages of crop growth and the indicators used for assessment. Here, we leveraged satellite data to examine the spatial-temporal patterns of typhoon-induced impacts on maize during the milk stage in Northeast China in 2020. We found that land surface water index (LSWI) showed a significantly higher negative relative change of 161.5% in regions severely affected by typhoons, surpassing that of normalized difference vegetation index (NDVI, 19.7%), near-infrared reflectance of vegetation (NIRV, 31.7%), and enhanced vegetation index (EVI, 25.2%), suggesting the outperformance of LSWI in monitoring the impact of typhoons on maize. Based on LSWI, we revealed the spatial-temporal distribution of typhoon impacts. Specifically, significant impacts on maize growth were observed in central Northeast China, particularly in Heilongjiang (49% of maize fields) and Jilin provinces (53% of maize fields). Furthermore, week-long lagging typhoon impacts on maize growth were generally found but lasted until the end of the maize growing season. We also found the typhoon impacts were partially mitigated by spatial and temporal compensations. Regions with above-average maize growth offset the losses experienced in areas severely affected by typhoons. Additionally, better maize growth in the early stages enhanced its resilience against subsequent typhoon impacts. Despite the mitigating effects on maize production, typhoons may increase the risk of maize mold, which warrants further investigation. Given the projected increase in future climate extremes, this study provides valuable insights into the rapid assessment of typhoon impacts using satellite data and cloud computing and supports decision-making in crop management for sustainable agricultural production.
英文关键词	Typhoon; Maize; Milk stage; LSWI; Spatial -temporal compensation; Google Earth Engine
语种	英语
WOS研究方向	Agriculture
WOS类目	Agronomy
WOS记录号	WOS:001215228700001
来源期刊	EUROPEAN JOURNAL OF AGRONOMY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/302006
作者单位	Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; China Agricultural University; University of Oklahoma System; University of Oklahoma - Norman; Peking University
推荐引用方式 GB/T 7714	Zhang, Qiang,Zhang, Geli,Xiao, Xiangming,et al. Unraveling the spatial-temporal patterns of typhoon impacts on maize during the milk stage in Northeast China in 2020[J],2024,156.
APA	Zhang, Qiang.,Zhang, Geli.,Xiao, Xiangming.,Zhang, Yao.,You, Nanshan.,...&Dong, Jinwei.(2024).Unraveling the spatial-temporal patterns of typhoon impacts on maize during the milk stage in Northeast China in 2020.EUROPEAN JOURNAL OF AGRONOMY,156.
MLA	Zhang, Qiang,et al."Unraveling the spatial-temporal patterns of typhoon impacts on maize during the milk stage in Northeast China in 2020".EUROPEAN JOURNAL OF AGRONOMY 156(2024).