气候变化领域集成服务门户(CCPortal): Quantitative spatial analysis of vegetation dynamics and potential driving factors in a typical alpine region on the northeastern Tibetan Plateau using the Google Earth Engine

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DOI	10.1016/j.catena.2021.105500
	Quantitative spatial analysis of vegetation dynamics and potential driving factors in a typical alpine region on the northeastern Tibetan Plateau using the Google Earth Engine
	Liu, Chenli; Li, Wenlong; Wang, Wenying; Zhou, Huakun; Liang, Tiangang; Hou, Fujiang; Xu, Jing; Xue, Pengfei
通讯作者	Li, WL (通讯作者)，Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Minist Agr & Rural Affairs, Key Lab Grassland Livestock Ind Innovat,State Key, Lanzhou 730000, Peoples R China. ; Wang, WY (通讯作者)，Qinghai Normal Univ, Dept Life Sci, Xining 810008, Peoples R China.
发表日期	2021
ISSN	0341-8162
EISSN	1872-6887
卷号	206
英文摘要	Vegetation is essential in maintaining terrestrial ecosystem functions, and understanding why and how vegetation evolves is necessary for regional ecological management. On the Tibetan Plateau, the effects of various factors and their interactions in directing vegetation change remain unclear. Supported by the Google Earth Engine (GEE) platform, we quantified spatiotemporal vegetation variation in Gannan Prefecture on the north-eastern Tibetan Plateau for 2000-2018 using trend analysis and spatial autocorrelation and explored its driving factors with a geographic detector method. The normalized difference vegetation index (NDVI) illustrated fluctuating growth from 2000 to 2018, and the overall growth rate was 0.002/year. The spatial distributions of NDVI were variable, and areas with NDVI greater than 0.8 accounted for more than 69% of Gannan Prefecture area. From 2000 to 2018, the global Moran's index of vegetation NDVI was greater than 0.52 and showed a fluctuating upward trend, indicating that the vegetation NDVI tended to be distributed with a high spatial concentration. The local Moran's index of NDVI was mainly characterized by High-High and Low-Low clustering types, and the former increased significantly, but the latter decreased. The annual mean temperature, soil type, and elevation were the dominant factors driving vegetation NDVI change in Gannan Prefecture, explaining more than 15% of the variability. Furthermore, the influence of the interaction between any two factors on NDVI was an almost nonlinear enhancement. These results could help us improve our understanding of the underlying mechanism of NDVI changes and provide a scientific basis for ecological protection in alpine regions.
关键词	3-RIVER SOURCE REGION BIG DATA APPLICATIONS CLIMATE-CHANGE COVER VARIATIONS RISK-ASSESSMENT GANNAN PLATEAU TREND ANALYSIS RIVER-BASIN MODIS DATA NDVI
英文关键词	NDVI; Driving factors; Moran's index; Geographical detector; Google Earth Engine (GEE); Gannan Prefecture
语种	英语
WOS研究方向	Geology ; Agriculture ; Water Resources
WOS类目	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS记录号	WOS:000688449100022
来源期刊	CATENA
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254746
作者单位	[Liu, Chenli; Li, Wenlong; Liang, Tiangang; Hou, Fujiang; Xue, Pengfei] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Minist Agr & Rural Affairs, Key Lab Grassland Livestock Ind Innovat,State Key, Lanzhou 730000, Peoples R China; [Wang, Wenying] Qinghai Normal Univ, Dept Life Sci, Xining 810008, Peoples R China; [Zhou, Huakun] Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Cold Reg Restorat Ecol, Xining 810008, Peoples R China; [Xu, Jing] Lanzhou Univ Finance & Econ, Sch Agr & Forestry Econ & Management, Lanzhou 730020, Peoples R China
推荐引用方式 GB/T 7714	Liu, Chenli,Li, Wenlong,Wang, Wenying,et al. Quantitative spatial analysis of vegetation dynamics and potential driving factors in a typical alpine region on the northeastern Tibetan Plateau using the Google Earth Engine[J]. 中国科学院西北生态环境资源研究院,2021,206.
APA	Liu, Chenli.,Li, Wenlong.,Wang, Wenying.,Zhou, Huakun.,Liang, Tiangang.,...&Xue, Pengfei.(2021).Quantitative spatial analysis of vegetation dynamics and potential driving factors in a typical alpine region on the northeastern Tibetan Plateau using the Google Earth Engine.CATENA,206.
MLA	Liu, Chenli,et al."Quantitative spatial analysis of vegetation dynamics and potential driving factors in a typical alpine region on the northeastern Tibetan Plateau using the Google Earth Engine".CATENA 206(2021).