Quantifying the Spatial Heterogeneity and Driving Factors of Aboveground Forest Biomass in the Urban Area of Xi'an, China

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	Quantifying the Spatial Heterogeneity and Driving Factors of Aboveground Forest Biomass in the Urban Area of Xi'an, China
	Zhao, Xuan; Liu, Jianjun; Hao, Hongke; Yang, Yanzheng
刊名	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
	2020-12
卷号	9 期号:12 页码:1-13
关键词	urban forest forest biomass biomass distribution geographic detector
英文摘要	Investigating the spatial distribution of urban forest biomass and its potential influencing factors would provide useful insights for configuring urban greenspace. Although China is experiencing an unprecedented scale of urbanization, the spatial pattern of the urban forest biomass distribution as a critical component in the urban landscape has not been fully examined. Using the geographic detector method, this research examines the impacts of four geographical factors (GFs)-dominant tree species, forest categories, land types, and age groups-on the aboveground biomass distribution of urban forests in 1480 plots in Xi'an, China. The results indicate that (1) the aboveground biomass and four GFs show obvious heterogeneity regarding their spatial distribution in Xi'an; (2) the dominant tree species and age group which impacts the patterns of aboveground biomass are the primary GFs, with the independent q value (a statistic metric used to quantify the impacts of GFs in this study) reaching 0.595 and 0.202, respectively, while the forest category and land type were weakly linked to the spatial variation of aboveground biomass, with a q value of 0.087 and 0.076, respectively; and (3) the interactions among these four GFs also tend to contribute to the distribution pattern of aboveground biomass. The interactions between GFs achieved a larger impact than the sum of impacts that were independently obtained from the factors. Our results showed that the method of using a geographical detector is a useful tool in the urban area, and can reveal the driver pattern of aboveground biomass and provide a reference for city planning and management.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/44524]
专题	生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式 GB/T 7714	Zhao, Xuan,Liu, Jianjun,Hao, Hongke,et al. Quantifying the Spatial Heterogeneity and Driving Factors of Aboveground Forest Biomass in the Urban Area of Xi'an, China[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(12):1-13.
APA	Zhao, Xuan,Liu, Jianjun,Hao, Hongke,&Yang, Yanzheng.(2020).Quantifying the Spatial Heterogeneity and Driving Factors of Aboveground Forest Biomass in the Urban Area of Xi'an, China.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(12),1-13.
MLA	Zhao, Xuan,et al."Quantifying the Spatial Heterogeneity and Driving Factors of Aboveground Forest Biomass in the Urban Area of Xi'an, China".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.12(2020):1-13.