干旱区生态环境知识资源中心(Arid): Quantifying drought response sensitivity and spatial and temporal heterogeneity of vegetation in arid and semi-arid regions

Arid

DOI	10.1080/01431161.2023.2182651
	Quantifying drought response sensitivity and spatial and temporal heterogeneity of vegetation in arid and semi-arid regions
	Zhang, Junyong; Ding, Jianli; Hou, Xuehui; Wu, Pengfei
通讯作者	Ding, JL
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2023
卷号	44 期号:5 页码:1665-1683
英文摘要	Drought disasters significantly threaten the stability of terrestrial ecosystems in arid and semi-arid regions. Although the impact of drought on vegetation has been extensively researched, there is still a lack of understanding regarding the ecological impacts of drought on the heterogeneous vegetation in northern China's arid and semi-arid regions. To investigate the spatial patterns of vegetation and differences in response to drought climate, the Normalized Difference Vegetation Index (NDVI) and Standardized Precipitation Evapotranspiration Index (SPEI) were used to determine vegetation characteristics and the seasonal sensitivity of vegetation types to drought response, as well as to identify the factors driving the sensitivity differences. In the study area, 83.1% of the vegetation exhibited a significant positive correlation with the drought index. The maximum correlation coefficient between vegetation and drought was 0.62, demonstrating that the majority of vegetation was influenced by drought. It was observed that different vegetation types responded differently to drought at varying spatial and temporal scales. The main drivers of vegetation response to drought in arid and semi-arid zones were quantified by using the random forest algorithm. The results indicated that climate and soil factors are the primary limiting factors. These findings enhance our comprehension of arid and semi-arid areas, the effect of drought on different plant species, and the factors that affect vegetation's response to drought.
英文关键词	Arid and semi-arid areas Multi-temporal scale drought Vegetation sensitivity Random forest regressor
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000951286400001
WOS关键词	TERRESTRIAL ECOSYSTEMS ; AGRICULTURAL DROUGHT ; CLIMATE-CHANGE ; SOIL-MOISTURE ; TIME-SCALES ; INDEX ; CHINA
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397037
推荐引用方式 GB/T 7714	Zhang, Junyong,Ding, Jianli,Hou, Xuehui,et al. Quantifying drought response sensitivity and spatial and temporal heterogeneity of vegetation in arid and semi-arid regions[J],2023,44(5):1665-1683.
APA	Zhang, Junyong,Ding, Jianli,Hou, Xuehui,&Wu, Pengfei.(2023).Quantifying drought response sensitivity and spatial and temporal heterogeneity of vegetation in arid and semi-arid regions.INTERNATIONAL JOURNAL OF REMOTE SENSING,44(5),1665-1683.
MLA	Zhang, Junyong,et al."Quantifying drought response sensitivity and spatial and temporal heterogeneity of vegetation in arid and semi-arid regions".INTERNATIONAL JOURNAL OF REMOTE SENSING 44.5(2023):1665-1683.