干旱区生态环境知识资源中心(Arid): Transition Characteristics of the Dry-Wet Regime and Vegetation Dynamic Responses over the Yarlung Zangbo River Basin, Southeast Qinghai-Tibet Plateau

Arid

DOI	10.3390/rs11101254
	Transition Characteristics of the Dry-Wet Regime and Vegetation Dynamic Responses over the Yarlung Zangbo River Basin, Southeast Qinghai-Tibet Plateau
	Liu, Liu 1,2; Niu, Qiankun 1,2; Heng, Jingxia 1,2; Li, Hao 1,2; Xu, Zongxue 3,4
通讯作者	Liu, Liu
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:10
英文摘要	The dry-wet transition is of great importance for vegetation dynamics, however the response mechanism of vegetation variations is still unclear due to the complicated effects of climate change. As a critical ecologically fragile area located in the southeast Qinghai-Tibet Plateau, the Yarlung Zangbo River (YZR) basin, which was selected as the typical area in this study, is significantly sensitive and vulnerable to climate change. The standardized precipitation evapotranspiration index (SPEI) and the normalized difference vegetation index (NDVI) based on the GLDAS-NOAH products and the GIMMS-NDVI remote sensing data from 1982 to 2015 were employed to investigate the spatio-temporal characteristics of the dry-wet regime and the vegetation dynamic responses. The results showed that: (1) The spatio-temporal patterns of the precipitation and temperature simulated by the GLDAS-NOAH fitted well with those of the in-situ data. (2) During the period of 1982-2015, the whole YZR basin exhibited an overall wetting tendency. However, the spatio-temporal characteristics of the dry-wet regime exhibited a reversal phenomenon before and after 2000, which was jointly identified by the SPEI and runoff. That is, the YZR basin showed a wetting trend before 2000 and a drying trend after 2000; the arid areas in the basin showed a tendency of wetting whereas the humid areas exhibited a trend of drying. (3) The region where NDVI was positively correlated with SPEI accounted for approximately 70% of the basin area, demonstrating a similar spatio-temporal reversal phenomenon of the vegetation around 2000, indicating that the dry-wet condition is of great importance for the evolution of vegetation. (4) The SPEI showed a much more significant positive correlation with the soil water content which accounted for more than 95% of the basin area, implying that the soil water content was an important indicator to identify the dry-wet transition in the YZR basin.
英文关键词	dry-wet regime climate change vegetation dynamics GLDAS GIMMS Yarlung Zangbo River
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000480524800112
WOS关键词	PRECIPITATION EXTREMES ; DROUGHT VARIABILITY ; CLIMATE CHANGES ; ABRUPT CHANGE ; CHINA ; RUNOFF ; COVER ; TEMPERATURE ; INTENSITY ; XINJIANG
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	北京师范大学 ; 中国农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218370
作者单位	1.China Agr Univ, Coll Water Resources & Civil Engn, Beijing 100083, Peoples R China; 2.China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China; 3.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China; 4.Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Liu, Liu,Niu, Qiankun,Heng, Jingxia,et al. Transition Characteristics of the Dry-Wet Regime and Vegetation Dynamic Responses over the Yarlung Zangbo River Basin, Southeast Qinghai-Tibet Plateau[J]. 北京师范大学, 中国农业大学,2019,11(10).
APA	Liu, Liu,Niu, Qiankun,Heng, Jingxia,Li, Hao,&Xu, Zongxue.(2019).Transition Characteristics of the Dry-Wet Regime and Vegetation Dynamic Responses over the Yarlung Zangbo River Basin, Southeast Qinghai-Tibet Plateau.REMOTE SENSING,11(10).
MLA	Liu, Liu,et al."Transition Characteristics of the Dry-Wet Regime and Vegetation Dynamic Responses over the Yarlung Zangbo River Basin, Southeast Qinghai-Tibet Plateau".REMOTE SENSING 11.10(2019).