干旱区生态环境知识资源中心(Arid): Monitoring Vegetation Change and Its Potential Drivers in Inner Mongolia from 2000 to 2019

Arid

DOI	10.3390/rs13173357
	Monitoring Vegetation Change and Its Potential Drivers in Inner Mongolia from 2000 to 2019
	Kang, Yao; Guo, Enliang; Wang, Yongfang; Bao, Yulong; Bao, Yuhai; Mandula, Naren
通讯作者	Guo, EL (corresponding author), Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot 010022, Peoples R China. ; Guo, EL (corresponding author), Inner Mongolia Normal Univ, Inner Mongolia Key Lab Disaster & Ecol Secur Mong, Hohhot 010022, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:17
英文摘要	Inner Mongolia in China is a typically arid and semi-arid region with vegetation prominently affected by global warming and human activities. Therefore, investigating the past and future vegetation change and its impact mechanism is important for assessing the stability of the ecosystem and the ecological policy formulation. Vegetation changes, sustainability characteristics, and the mechanism of natural and anthropogenic effects in Inner Mongolia during 2000-2019 were examined using moderate resolution imaging spectroradiometer normalized difference vegetation index (NDVI) data. Theil-Sen trend analysis, Mann-Kendall method, and the coefficient of variation method were used to analyze the spatiotemporal variability characteristics and sustained stability of the NDVI. Furthermore, a trend estimation method based on a Seasonal Trend Model (STM), and the Hurst index was used to analyze breakpoints and change trends, and predict the likely future direction of vegetation, respectively. Additionally, the mechanisms of the compound influence of natural and anthropogenic activities on the vegetation dynamics in Inner Mongolia were explored using a Geodetector Model. The results show that the NDVI of Inner Mongolia shows an upward trend with a rate of 0.0028/year (p < 0.05) from 2000 to 2019. Spatially, the NDVI values showed a decreasing trend from the northeast to the southwest, and the interannual variation fluctuated widely, with coefficients of variation greater than 0.15, for which the high-value areas were in the territory of the Alxa League. The areas with increased, decreased, and stable vegetation patterns were approximately equal in size, in which the improved areas were mainly distributed in the northeastern part of Inner Mongolia, the stable and unchanged areas were mostly in the desert, and the degraded areas were mainly in the central-eastern part of Inner Mongolia, it shows a trend of progressive degradation from east to west. Breakpoints in the vegetation dynamics occurred mainly in the northwestern part of Inner Mongolia and the northeastern part of Hulunbuir, most of which occurred during 2011-2014. The future NDVI trend in Inner Mongolia shows an increasing trend in most areas, with only approximately 10% of the areas showing a decreasing trend. Considering the drivers of the NDVI, we observed annual precipitation, soil type, mean annual temperature, and land use type to be the main driving factors in Inner Mongolia. Annual precipitation was the first dominant factor, and when these four dominant factors interacted to influence vegetation change, they all showed interactive enhancement relationships. The results of this study will assist in understanding the influence of natural elements and human activities on vegetation changes and their driving mechanisms, while providing a scientific basis for the rational and effective protection of the ecological environment in Inner Mongolia.
英文关键词	MODIS NDVI STM spatiotemporal variation geodetector Inner Mongolia
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000694510100001
WOS关键词	SPATIAL-DISTRIBUTION ; RESTORATION PROGRAMS ; CLIMATIC-CHANGE ; GEO-DETECTOR ; WINTER-WHEAT ; AVHRR NDVI ; TRENDS ; DYNAMICS ; FOREST ; CHINA
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
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364481
作者单位	[Kang, Yao; Guo, Enliang; Wang, Yongfang; Bao, Yulong; Bao, Yuhai; Mandula, Naren] Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot 010022, Peoples R China; [Kang, Yao; Guo, Enliang; Wang, Yongfang; Bao, Yulong; Mandula, Naren] Inner Mongolia Normal Univ, Inner Mongolia Key Lab Disaster & Ecol Secur Mong, Hohhot 010022, Peoples R China; [Bao, Yuhai] Inner Mongolia Normal Univ, Inner Mongolia Key Lab Remote Sensing & Geog Info, Hohhot 010022, Peoples R China
推荐引用方式 GB/T 7714	Kang, Yao,Guo, Enliang,Wang, Yongfang,et al. Monitoring Vegetation Change and Its Potential Drivers in Inner Mongolia from 2000 to 2019[J],2021,13(17).
APA	Kang, Yao,Guo, Enliang,Wang, Yongfang,Bao, Yulong,Bao, Yuhai,&Mandula, Naren.(2021).Monitoring Vegetation Change and Its Potential Drivers in Inner Mongolia from 2000 to 2019.REMOTE SENSING,13(17).
MLA	Kang, Yao,et al."Monitoring Vegetation Change and Its Potential Drivers in Inner Mongolia from 2000 to 2019".REMOTE SENSING 13.17(2021).