气候变化领域集成服务门户(CCPortal): Greening Implication Inferred from Vegetation Dynamics Interacted with Climate Change and Human Activities over the Southeast Qinghai-Tibet Plateau

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DOI	10.3390/rs11202421
	Greening Implication Inferred from Vegetation Dynamics Interacted with Climate Change and Human Activities over the Southeast Qinghai-Tibet Plateau
	Li, Hao; Liu, Liu; Liu, Xingcai; Li, Xiuping; Xu, Zongxue
通讯作者	Liu, L (通讯作者)
发表日期	2019
EISSN	2072-4292
卷号	11 期号:20
英文摘要	Vegetation dynamics are sensitive to climate change and human activities, as vegetation interacts with the hydrosphere, atmosphere, and biosphere. The Yarlung Zangbo River (YZR) basin, with the vulnerable ecological environment, has experienced a series of natural disasters since the new millennium. Therefore, in this study, the vegetation dynamic variations and their associated responses to environmental changes in the YZR basin were investigated based on Normalized Difference Vegetation Index (NDVI) and Global Land Data Assimilation System (GLDAS) data from 2000 to 2016. Results showed that (1) the YZR basin showed an obvious vegetation greening process with a significant increase of the growing season NDVI (Z(c) = 2.31, p < 0.05), which was mainly attributed to the wide greening tendency of the downstream region that accounted for over 50% area of the YZR basin. (2) Regions with significant greening accounted for 25.4% of the basin and were mainly concentrated in the Nyang River and Parlung Tsangpo River sub-basins. On the contrary, the browning regions accounted for <25% of the basin and were mostly distributed in the urbanized cities of the midstream, implying a significant influence of human activities on vegetation greening. (3) The elevation dependency of the vegetation in the YZR basin was significant, showing that the vegetation of the low-altitude regions was better than that of the high-altitude regions. The greening rate exhibited a significantly more complicated relationship with the elevation, which increased with elevated altitude (above 3500 m) and decreased with elevated altitude (below 3500 m). (4) Significantly positive correlations between the growing season NDVI and surface air temperature were detected, which were mainly distributed in the snow-dominated sub-basins, indicating that glaciers and snow melting processes induced by global warming play an important role in vegetation growth. Although basin-wide non-significant negative correlations were found between precipitation and growing season NDVI, positive influences of precipitation on vegetation greening occurred in the arid and semi-arid upstream region. These findings could provide important information for ecological environment protection in the YZR basin and other high mountain regions.
关键词	ZANGBO RIVER-BASIN SOIL-MOISTURE SPATIOTEMPORAL VARIATION SATELLITE-OBSERVATIONS SPATIAL HETEROGENEITY UNDERLYING MECHANISMS DRIVING FORCES ENERGY-BALANCE WATER-BALANCE LAND-COVER
英文关键词	Vegetation; Climate change; Human activities; Snow melting; Elevation-dependent; Yarlung Zangbo River
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000498395800089
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259530
推荐引用方式 GB/T 7714	Li, Hao,Liu, Liu,Liu, Xingcai,et al. Greening Implication Inferred from Vegetation Dynamics Interacted with Climate Change and Human Activities over the Southeast Qinghai-Tibet Plateau[J]. 中国科学院青藏高原研究所,2019,11(20).
APA	Li, Hao,Liu, Liu,Liu, Xingcai,Li, Xiuping,&Xu, Zongxue.(2019).Greening Implication Inferred from Vegetation Dynamics Interacted with Climate Change and Human Activities over the Southeast Qinghai-Tibet Plateau.REMOTE SENSING,11(20).
MLA	Li, Hao,et al."Greening Implication Inferred from Vegetation Dynamics Interacted with Climate Change and Human Activities over the Southeast Qinghai-Tibet Plateau".REMOTE SENSING 11.20(2019).