干旱区生态环境知识资源中心(Arid): Response of vegetation ecosystem to climate change based on remote sensing and information entropy: a case study in the arid inland river basin of China

Arid

DOI	10.1007/s12665-021-09416-w
	Response of vegetation ecosystem to climate change based on remote sensing and information entropy: a case study in the arid inland river basin of China
	Xu, Wei; Liu, Hui; Zhang, Qixing; Liu, Pai
通讯作者	Xu, W (corresponding author), Shenyang Agr Univ, Coll Water Conservancy, Shenyang 110866, Peoples R China. ; Zhang, QX (corresponding author), Survey Hydrogeol Engn & Environm Geol Qinghai, Xining 810008, Peoples R China.
来源期刊	ENVIRONMENTAL EARTH SCIENCES
ISSN	1866-6280
EISSN	1866-6299
出版年	2021
卷号	80 期号:4
英文摘要	Vegetation is sensitive to regional climate change especially in the arid area, and the effects of global warming on regional climate and ecological vegetation are complex and varied. Spatio-temporal variation of vegetation is closely related to the changing climate, detecting the correlation between the variation of climate and vegetation characteristics in time and spatial dimension is important for understanding the effects of climate change on vegetation ecosystem. Therefore, remote sensing and information entropy were proposed in the study to estimate the spatio-temporal variation of vegetation with normalized difference vegetation index (NDVI) and meteorological elements in the Nalenggele river basin, northwest China. The average NDVI value of the study area showed an increasing trend but more than 40% of the vegetation characteristic in this area showed a worse trend from 1987 to 2016. Temperature is the relatively prominent factor that affects the vegetation variation in this area, but only 12.25% of the vegetation showed strong correlation with temperature. The increasing temperature promoted the growth of vegetation in the oasis region and also caused the degradation of vegetation in the Gobi desert region to some extent. The variation of precipitation and humidity are not the key factors that control vegetation growth, less than 2% of the vegetation showed strong correlation with these two meteorological elements. The results of this study support the conclusion that the fragile vegetation ecosystem in the vast Gobi desert areas shows deteriorating trend in the past several decades closely to the changing climate.
英文关键词	Vegetation variation Information entropy Changing climate Arid region of north china
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000617432500002
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350100
作者单位	[Xu, Wei; Liu, Hui] Shenyang Agr Univ, Coll Water Conservancy, Shenyang 110866, Peoples R China; [Zhang, Qixing] Survey Hydrogeol Engn & Environm Geol Qinghai, Xining 810008, Peoples R China; [Liu, Pai] Shenyang Inst Technol, Fushun 113122, Peoples R China
推荐引用方式 GB/T 7714	Xu, Wei,Liu, Hui,Zhang, Qixing,et al. Response of vegetation ecosystem to climate change based on remote sensing and information entropy: a case study in the arid inland river basin of China[J],2021,80(4).
APA	Xu, Wei,Liu, Hui,Zhang, Qixing,&Liu, Pai.(2021).Response of vegetation ecosystem to climate change based on remote sensing and information entropy: a case study in the arid inland river basin of China.ENVIRONMENTAL EARTH SCIENCES,80(4).
MLA	Xu, Wei,et al."Response of vegetation ecosystem to climate change based on remote sensing and information entropy: a case study in the arid inland river basin of China".ENVIRONMENTAL EARTH SCIENCES 80.4(2021).