干旱区生态环境知识资源中心(Arid): Increased spatial heterogeneity in vegetation greenness due to vegetation greening in mainland China

Arid

DOI	10.1016/j.ecolind.2018.12.039
	Increased spatial heterogeneity in vegetation greenness due to vegetation greening in mainland China
	Yao, Rui 1; Wang, Lunche 1; Huang, Xin 2,3; Chen, Xinxin 1; Liu, Zhengjia 4
通讯作者	Wang, Lunche ; Huang, Xin
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2019
卷号	99 页码:240-250
英文摘要	Spatial heterogeneity in vegetation greenness (VG) can influence earth surface process and resource ecology. However, its long-term change and driving forces remain poorly understood. In this study, MODIS enhanced vegetation index (EVI) data was used to examine the change in spatial heterogeneity in VG and its relationships with vegetation greening in mainland China during 2000-2017. Moving window standard deviation and range of growing season mean EVI (GSEVI) were used as proxies for spatial heterogeneity in VG. It was found that moving window standard deviation of GSEVI increased significantly over 33.8% to 53.7% of mainland China during 2000-2017, while it decreased significantly over less than 5% of mainland China. The results of moving window range of GSEVI were similar to moving window standard deviation of GSEVI. These may be explained by: (1) increased standard deviation and range of GSEVI accompanied by increased GSEVI value; and (2) faster greening speed in dense than in sparse vegetated areas. Additionally, the increased spatial heterogeneity in VG means the increased difference in VG between arid and humid regions, and between urban cores (UCs) and rural areas. These may primarily be attributed to slower greening speed in arid than in humid regions, and in UCs than in rural areas. Thus some benefits from vegetation greening may be much less in arid than in humid regions, and in UCs than in rural areas. Overall, this study analyzed an interesting phenomenon that vegetation greening may increase spatial heterogeneity in VG, which has a series of implications for environment and human activities.
英文关键词	Spatial heterogeneity Vegetation greenness Remote sensing Enhanced vegetation index Mainland China
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000470960400029
WOS关键词	URBAN HEAT-ISLAND ; PLANT-SPECIES RICHNESS ; SURFACE ; PATTERNS ; TREND ; URBANIZATION ; INTENSITY ; FOOTPRINT ; REGION
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215198
作者单位	1.China Univ Geosci, Sch Earth Sci, Lab Crit Zone Evolut, Wuhan 430074, Hubei, Peoples R China; 2.Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Hubei, Peoples R China; 3.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Yao, Rui,Wang, Lunche,Huang, Xin,et al. Increased spatial heterogeneity in vegetation greenness due to vegetation greening in mainland China[J]. 中国科学院地理科学与资源研究所,2019,99:240-250.
APA	Yao, Rui,Wang, Lunche,Huang, Xin,Chen, Xinxin,&Liu, Zhengjia.(2019).Increased spatial heterogeneity in vegetation greenness due to vegetation greening in mainland China.ECOLOGICAL INDICATORS,99,240-250.
MLA	Yao, Rui,et al."Increased spatial heterogeneity in vegetation greenness due to vegetation greening in mainland China".ECOLOGICAL INDICATORS 99(2019):240-250.