干旱区生态环境知识资源中心(Arid): Detecting Patterns of Vegetation Gradual Changes (2001-2017) in Shiyang River Basin, Based on a Novel Framework

Arid

DOI	10.3390/rs11212475
	Detecting Patterns of Vegetation Gradual Changes (2001-2017) in Shiyang River Basin, Based on a Novel Framework
	Wang, Ju 1,2; Xie, Yaowen 1,2; Wang, Xiaoyun 1,2; Dong, Jingru 1,2; Bie, Qiang 1,2
通讯作者	Xie, Yaowen
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:21
英文摘要	A lot of timeseries satellite products have been well documented in exploring changes in ecosystems. However, algorithms allowing for measuring the directions, magnitudes, and timing of vegetation change, evaluating the major driving factors, and eventually predicting the future trends are still insufficient. A novel framework focusing on addressing this problem was proposed in this study according to the temporal trajectory of Normalized Difference Vegetation Index (NDVI) timeseries of Moderate Resolution Imaging Spectroradiometer (MODIS). It divided the inter-annual changes in vegetation into four patterns: linear, exponential, logarithmic, and logistic. All the three non-linear patterns were differentiated automatically by fitting a logistic function with prolonged NDVI timeseries. Finally, features of vegetation changes including where, when and how, were evaluated by the parameters in the logistic function. Our results showed that 87.39% of vegetation covered areas (maximum mean growing season NDVI in the 17 years not less than 0.2) in the Shiyng River basin experienced significant changes during 2001-2017. The linear pattern, exponential pattern, logarithmic pattern, and logistic pattern accounted for 36.53%, 20.16%, 15.42%, and 15.27%, respectively. Increasing trends were dominant in all the patterns. The spatial distribution in both the patterns and the transition years at which vegetation gains/losses began or ended is of high consistency. The main years of transition for the exponential increasing pattern, the logarithmic increasing pattern, and the logarithmic increasing pattern were 2008-2011, 2003-2004, and 2009-2010, respectively. The period of 2006-2008 was the foremost period that NDVIs started to decline in Liangzhou Oasis and Minqin Oasis where almost all the decreasing patterns were concentrated. Potential disturbances of vegetation gradual changes in the basin are refer to as urbanization, expansion or reduction of agricultural oases, as well as measures in ecological projects, such as greenhouses building, afforestation, grazing prohibition, etc.
英文关键词	vegetation gradual changes pattern temporal trajectory logistic model Shiyang river basin
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000504716700016
WOS关键词	CHANGE-VECTOR ANALYSIS ; LAND-COVER CHANGE ; NDVI TIME-SERIES ; FOREST DISTURBANCE ; TREND ANALYSIS ; MULTITEMPORAL SPACE ; MINQIN OASIS ; DEGRADATION ; CHINA ; WATER
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
EI主题词	2019-11-01
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310576
作者单位	1.Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Gansu, Peoples R China; 2.Minist Educ MOE, Key Lab Western Chinas Environm Syst, Lanzhou, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wang, Ju,Xie, Yaowen,Wang, Xiaoyun,et al. Detecting Patterns of Vegetation Gradual Changes (2001-2017) in Shiyang River Basin, Based on a Novel Framework[J]. 兰州大学,2019,11(21).
APA	Wang, Ju,Xie, Yaowen,Wang, Xiaoyun,Dong, Jingru,&Bie, Qiang.(2019).Detecting Patterns of Vegetation Gradual Changes (2001-2017) in Shiyang River Basin, Based on a Novel Framework.REMOTE SENSING,11(21).
MLA	Wang, Ju,et al."Detecting Patterns of Vegetation Gradual Changes (2001-2017) in Shiyang River Basin, Based on a Novel Framework".REMOTE SENSING 11.21(2019).