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	Quantifying Degradation Classifications on Alpine Grassland in the Lhasa River Basin, Qinghai-Tibetan Plateau
	Han, Wangya1; Lu, Huiting1; Liu, Guohua1; Wang, Jingsheng2; Su, Xukun1
刊名	SUSTAINABILITY
	2019-12-02
卷号	11期号:24页码:-
关键词	alpine grassland quantitative degradation classifications remote sensing Lhasa river basin
英文摘要	The Qinghai-Tibetan Plateau (QTP) has the world's largest alpine grassland ecosystem. The QTP ecosystem is extremely fragile and suffers continuous degradation. An accurate determination of the status of alpine grassland is the first crucial step in monitoring its degradation. A novel method combining field survey with remote sensing information based on ecological indicators is proposed. The degradation classification of alpine grassland was identified by multivariate hierarchical analysis based on 270 field plots. The spatial pattern of alpine grassland degradation was mapped by determining remote sensing variables that corresponded to field indicators of the degradation classification system. The results showed that clustering analysis divided the degradation classification of alpine grassland into five classes: Non-Degraded (ND), Slightly Degraded (SLD), Moderately Degraded (MD), Severely Degraded (SD), and Extremely Degraded (ED). The most significant factors for alpine grassland degradation included the dominance of Cyperaceae plants, soil total nitrogen content, soil organic carbon content, soil total carbon content, soil bulk density, soil pH, dominance of miscellaneous plants, and elevation among all 17 variables. The assessment and mapping of alpine grassland degradation provide an important basis for alpine grassland protection and management, particularly at a large scale.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/42449]
专题	生态环境研究中心_城市与区域生态国家重点实验室
作者单位	1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Han, Wangya,Lu, Huiting,Liu, Guohua,et al. Quantifying Degradation Classifications on Alpine Grassland in the Lhasa River Basin, Qinghai-Tibetan Plateau[J]. SUSTAINABILITY,2019,11(24):-.
APA	Han, Wangya,Lu, Huiting,Liu, Guohua,Wang, Jingsheng,&Su, Xukun.(2019).Quantifying Degradation Classifications on Alpine Grassland in the Lhasa River Basin, Qinghai-Tibetan Plateau.SUSTAINABILITY,11(24),-.
MLA	Han, Wangya,et al."Quantifying Degradation Classifications on Alpine Grassland in the Lhasa River Basin, Qinghai-Tibetan Plateau".SUSTAINABILITY 11.24(2019):-.

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