干旱区生态环境知识资源中心(Arid): Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets

Arid

DOI	10.3390/rs11141633
	Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets
	Bei, Xiangyi 1; Yao, Yunjun 1; Zhang, Lilin 2; Xu, Tongren 3; Jia, Kun 1; Zhang, Xiaotong 1; Shang, Ke 1; Xu, Jia 1; Chen, Xiaowei 1
通讯作者	Yao, Yunjun
来源期刊	REMOTE SENSING
ISSN	2072-4292
出版年	2019
卷号	11 期号:14
英文摘要	Terrestrial biophysical variables play an essential role in quantifying the amount of energy budget, water cycle, and carbon sink over the Three-River Headwaters Region of China (TRHR). However, direct field observations are missing in this region, and few studies have focused on the long-term spatiotemporal variations of terrestrial biophysical variables. In this study, we evaluated the spatiotemporal dynamics of biophysical variables including meteorological variables, vegetation, and evapotranspiration (ET) over the TRHR, and analyzed the response of vegetation and ET to climate change in the period from 1982 to 2015. The main input gridded datasets included meteorological reanalysis data, a satellite-based vegetation index dataset, and the ET product developed by a process-based Priestley-Taylor algorithm. Our results illustrate that: (1) The air temperature and precipitation over the TRHR increased by 0.597 degrees C and 41.1 mm per decade, respectively, while the relative humidity and surface downward shortwave radiation declined at a rate of 0.9% and 1.8 W/m(2) per decade during the period 1982-2015, respectively. We also found that a dryer warming' tendency and a wetter warming' tendency existed in different areas of the TRHR. (2) Due to the predominant wetter warming' tendency characterized by the increasing temperature and precipitation, more than 56.8% of areas in the TRHR presented a significant increment in vegetation (0.0051/decade, p < 0.05), particularly in the northern and western meadow areas. When energy was the limiting factor for vegetation growth, temperature was a considerably more important driving factor than precipitation. (3) The annual ET of the TRHR increased by 3.34 mm/decade (p < 0.05) with an annual mean of 230.23 mm/year. More importantly, our analysis noted that ET was governed by terrestrial water supply, e.g., soil moisture and precipitation in the arid region of the western TRHR. By contrast, atmospheric evaporative demand derived by temperature and relative humidity was the primary controlling factor over the humid region of the southeastern TRHR. It was noted that land management activities, e.g., irrigation, also had a nonnegligible impact on the temporal and spatial variation of ET.
英文关键词	terrestrial biophysical variables Three-River Headwaters Region of China spatiotemporal dynamics climate change vegetation index evapotranspiration
类型	Article
语种	英语
国家	Peoples R China ; Netherlands
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000480527800003
WOS关键词	LATENT-HEAT FLUX ; NET PRIMARY PRODUCTIVITY ; TIBETAN PLATEAU ; CLIMATE-CHANGE ; VEGETATION DYNAMICS ; DECADAL VARIATIONS ; SOLAR-RADIATION ; ALPINE MEADOW ; DATA SETS ; EVAPOTRANSPIRATION
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
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218392
作者单位	1.Beijing Normal Univ, State Key Lab Remote Sensing Sci, Fac Geog Sci, Beijing 100875, Peoples R China; 2.Univ Twente, Fac Geoinformat & Earth Observat ITC, NL-7500 AE Enschede, Netherlands; 3.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Fac Geog Sci, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Bei, Xiangyi,Yao, Yunjun,Zhang, Lilin,et al. Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets[J]. 北京师范大学,2019,11(14).
APA	Bei, Xiangyi.,Yao, Yunjun.,Zhang, Lilin.,Xu, Tongren.,Jia, Kun.,...&Chen, Xiaowei.(2019).Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets.REMOTE SENSING,11(14).
MLA	Bei, Xiangyi,et al."Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets".REMOTE SENSING 11.14(2019).