干旱区生态环境知识资源中心(Arid): Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China

Arid

DOI	10.7717/peerj.8223
	Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China
	Wang, Haijun 1,2; Peng, Peihao 1; Kong, Xiangdong 2,3; Zhang, Tingbin 1; Yi, Guihua 1
通讯作者	Wang, Haijun ; Peng, Peihao
来源期刊	PEERJ
ISSN	2167-8359
出版年	2019
卷号	7
英文摘要	This study focuses on the vegetation dynamic caused by global environmental change in the eastern margin of the Qinghai-Tibet Plateau (EMQTP). The Qinghai-Tibet Plateau (QTP) is one of the most sensitive areas responding to global environmental change, particularly global climate change, and has been recognized as a hotspot for coupled studies on changes in global terrestrial ecosystems and global climates. An important component of terrestrial ecosystems, vegetation dynamic has become a key issue in global environmental change, and numerous case studies have been conducted on vegetation dynamic trends using multi-source data and multi-scale methods across different study periods. The EMQTP is regarded as a transitional area located between the QTP and the Sichuan basin, and has special geographical and climatic conditions. Although this area is ecologically fragile and sensitive to climate change, few studies about vegetation dynamics have been carried out in this area. Thus, in this study, we used long-term series datasets of GIMMS 3g NDVI and VGT/PROBA-V NDVI to analyze the vegetation dynamics and phenological changes from 1982 to 2018. Validation was performed based on Landsat NDVI and Vegetation Index & Phenology (VIP) data. The results reveal that the year 1998 was a vital turning point in the start of growing season (SGS) in vegetation ecosystems. Before this turning point, the SGS had an average slope of 9.2 days/decade, and after, the average slope was 3.9 days/decade. The length of growing season (LGS) was slightly prolonged between 1982 to 2015. Additionally, the largest national alpine wetland grassland experienced significant vegetation degradation; in autumn, the degraded area accounted for 63.4%. Vegetation degradation had also appeared in the arid valleys of the Yalong River and the Jinsha River. Through validation analysis, we found that the main causes of vegetation degradation are the natural degradation of wetland grassland and human activities, specifically agricultural development and residential area expansion.
英文关键词	Multisource remote sensing Phenology change Vegetation dynamic EMQTP
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000502757100006
WOS关键词	NDVI TIME-SERIES ; GREEN-UP DATES ; PHENOLOGY ; RESPONSES ; WETLAND ; DIFFERENTIATION ; DESERT ; IMAGES ; WINTER ; RED
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
EI主题词	2019-12-13
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311704
作者单位	1.Chengdu Univ Technol, Coll Earth Sci, Chengdu, Sichuan, Peoples R China; 2.Chengdu Univ Technol, Engn & Tech Coll, Leshan, Sichuan, Peoples R China; 3.Southwest Petr Univ, Sch Civil Engn & Architecture, Chengdu, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Wang, Haijun,Peng, Peihao,Kong, Xiangdong,et al. Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China[J],2019,7.
APA	Wang, Haijun,Peng, Peihao,Kong, Xiangdong,Zhang, Tingbin,&Yi, Guihua.(2019).Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China.PEERJ,7.
MLA	Wang, Haijun,et al."Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China".PEERJ 7(2019).