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	Detecting Global Vegetation Changes Using Mann-Kendal (MK) Trend Test for 1982-2015 Time Period
	Guo Meng; Li Jing; He Hongshi; Xu Jiawei; Jin Yinghua
来源期刊	Chinese Geographical Science
ISSN	1002-0063
出版年	2018
卷号	28 期号:6 页码:907-919
英文摘要	Vegetation is the main component of the terrestrial ecosystem and plays a key role in global climate change. Remotely sensed vegetation indices are widely used to detect vegetation trends at large scales. To understand the trends of vegetation cover, this research examined the spatial-temporal trends of global vegetation by employing the normalized difference vegetation index (NDVI) from the Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling and Mapping Studies (GIMMS) time series (1982-2015). Ten samples were selected to test the temporal trend of NDVI, and the results show that in arid and semi-arid regions, NDVI showed a deceasing trend, while it showed a growing trend in other regions. Mann-Kendal (MK) trend test results indicate that 83.37% of NDVI pixels exhibited positive trends and that only 16.63% showed negative trends (P < 0.05) during the period from 1982 to 2015. The increasing NDVI trends primarily occurred in tree-covered regions because of forest growth and re-growth and also because of vegetation succession after a forest disturbance. The increasing trend of the NDVI in cropland regions was primarily because of the increasing cropland area and the improvement in planting techniques. This research describes the spatial vegetation trends at a global scale over the past 30+ years, especially for different land cover types.
英文关键词	vegetation trend NDVI3g.v1 Mann-Kendall (MK) trend test land cover types
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	CSCD
WOS研究方向	Science & Technology - Other Topics
CSCD记录号	CSCD:6360972
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/336033
作者单位	Guo Meng, School of Geographical Sciences, Northeast Normal University, Changchun, Jilin 130024, China.; Xu Jiawei, School of Geographical Sciences, Northeast Normal University, Changchun, Jilin 130024, China.; Jin Yinghua, School of Geographical Sciences, Northeast Normal University, Changchun, Jilin 130024, China.; Li Jing, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130102, China.; He Hongshi, School of Geographical Sciences, Northeast Normal University;;School of Natural Resources, University of Missouri- Columbia, ;;, Changchun;;Columbia, ;;USA 130024;;65211.
推荐引用方式 GB/T 7714	Guo Meng,Li Jing,He Hongshi,et al. Detecting Global Vegetation Changes Using Mann-Kendal (MK) Trend Test for 1982-2015 Time Period[J],2018,28(6):907-919.
APA	Guo Meng,Li Jing,He Hongshi,Xu Jiawei,&Jin Yinghua.(2018).Detecting Global Vegetation Changes Using Mann-Kendal (MK) Trend Test for 1982-2015 Time Period.Chinese Geographical Science,28(6),907-919.
MLA	Guo Meng,et al."Detecting Global Vegetation Changes Using Mann-Kendal (MK) Trend Test for 1982-2015 Time Period".Chinese Geographical Science 28.6(2018):907-919.