干旱区生态环境知识资源中心(Arid): Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China

Arid

DOI	10.3390/f14081679
	Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China
	Liu, Xiaomin; Wang, Sinan; Wu, Yingjie
通讯作者	Wang, SA
来源期刊	FORESTS
EISSN	1999-4907
出版年	2023
卷号	14 期号:8
英文摘要	In the context of global warming, timely and accurate drought monitoring is of great importance to ensure regional ecological security and guide agricultural production. This study established the Drought Severity Index (DSI), based on the potential evapotranspiration (PET), evapotranspiration (ET) and normalized difference vegetation index (NDVI) data from 2001 to 2020, to compensate for the low accuracy of drought spatial and temporal evolution due to the uneven distribution of stations. The DSI index was established to reveal the spatial and temporal variation of droughts in Inner Mongolia in the past 20 years, using trend analysis, gravity shift and geographic probes, and to explore the influence of different factors on the DSI. The results were as follows. (1) The results showed that the spatial distribution of DSI in Inner Mongolia during 2001-2020 had strong spatial heterogeneity, and generally showed distribution characteristics of drought in the west and wet in the east. In addition, the changes in DSI all exhibited a rising tendency, with the highest tendency in deciduous broadleaf forests (DBF) and the lowest tendency in grassland (GRA). (2) The center of gravity of wet, normal and arid areas showed a migration trend from northeast to southwest, with migration distances of 209 km, 462 km and 826 km, respectively. (3) The four combinations of temperature and elevation, temperature and slope, temperature and land use, and temperature and rainfall contributed the most. The results obtained in this study are important for the scheduling of ecological early warnings and drought prevention and control.
英文关键词	drought drought severity index (DSI) trend analysis geodetector influencing factors
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001056108900001
WOS关键词	SEVERITY INDEX DSI ; TEMPORAL VARIATIONS ; VEGETATION COVER ; TEMPERATURE ; DYNAMICS ; VARIABILITY ; PATTERNS ; IMPACT ; CARBON
WOS类目	Forestry
WOS研究方向	Forestry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396431
推荐引用方式 GB/T 7714	Liu, Xiaomin,Wang, Sinan,Wu, Yingjie. Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China[J],2023,14(8).
APA	Liu, Xiaomin,Wang, Sinan,&Wu, Yingjie.(2023).Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China.FORESTS,14(8).
MLA	Liu, Xiaomin,et al."Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China".FORESTS 14.8(2023).