Using a geographical detector to identify the key factors that influence urban forest spatial differences within China

doi:10.1016/j.ufug.2020.126623

	Using a geographical detector to identify the key factors that influence urban forest spatial differences within China
	Duan, Qianwen 1,2; Tan, Minghong 1,3
刊名	URBAN FORESTRY & URBAN GREENING
	2020-03-01
卷号	49 页码:8
关键词	Urban Forest Coverage Major Chinese cities Influencing factors Geographical detector method
ISSN号	1618-8667
DOI	10.1016/j.ufug.2020.126623
通讯作者	Tan, Minghong(tanmh@igsnrr.ac.cn)
英文摘要	Increasing urbanization is a global phenomomen that has led to numerous urban problems, including air pollution and traffic noise. Urban forests are important, therefore, because they are able to effectively alleviate such unsustainable problems. Systematic analyses of spatial differences in urban forest coverage (UFC) and the factors that influence this cover type, however, need to be further explored within Chinese cities, especially on the basis of spatial data. The intensity gradient (IG) method was applied in this study to identify urban areas across China using Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) data. Urban forests were then extracted from the global land cover dataset GlobeLand30 to enhance comparability of this land cover type between cities. The factors influencing spatial differences in UFC in 286 major Chinese cities were then detected using a geographical detector method, an approach which differs from the more traditional use of multiple regression as it better illustrates the explanatory power of variables and their interactions. The results of this study reveal that average UFC across China was 19.7 % in 2010 and that clear differences were present between south China (27.6 %) and north China (11.1 %). The factors underlying UFC differences between Chinese cities are complicated; data show that biogeoclimatic factors have exerted the greatest impact while the effects of socioeconomic factors have generally been weak. The impact of variables interacting with one another has also tended to be stronger than the influence of single factors. The results presented here also imply that there were no significant spatial differences in average UFC between cities with the title Chinese 'National Forest City' (NFC) and others.
资助项目	Strategic Priority Research Program of Chinese Academy of Sciences of China[XDA20040400] ; National Natural Science Foundation of China[41771116]
WOS关键词	POPULATION-DENSITY ; CARBON STORAGE ; CANOPY COVER ; GREEN SPACE ; AIR-QUALITY ; LAND-USE ; URBANIZATION ; CITY ; VEGETATION ; SURFACE
WOS研究方向	Plant Sciences ; Environmental Sciences & Ecology ; Forestry ; Urban Studies
语种	英语
出版者	ELSEVIER GMBH
WOS记录号	WOS:000524972100037
资助机构	Strategic Priority Research Program of Chinese Academy of Sciences of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/133926]
专题	中国科学院地理科学与资源研究所
通讯作者	Tan, Minghong
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, 11A Datun Rd, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, 11A Datun Rd, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Int Coll, 11A Datun Rd, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Duan, Qianwen,Tan, Minghong. Using a geographical detector to identify the key factors that influence urban forest spatial differences within China[J]. URBAN FORESTRY & URBAN GREENING,2020,49:8.
APA	Duan, Qianwen,&Tan, Minghong.(2020).Using a geographical detector to identify the key factors that influence urban forest spatial differences within China.URBAN FORESTRY & URBAN GREENING,49,8.
MLA	Duan, Qianwen,et al."Using a geographical detector to identify the key factors that influence urban forest spatial differences within China".URBAN FORESTRY & URBAN GREENING 49(2020):8.