Optimizing urban greenspace spatial pattern to mitigate urban heat island effects: Extending understanding from local to the city scale

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

	Optimizing urban greenspace spatial pattern to mitigate urban heat island effects: Extending understanding from local to the city scale
	Li, Xiaoma ; Zhou, Weiqi
刊名	URBAN FORESTRY & URBAN GREENING
	2019-05
卷号	41 页码:255-263
关键词	Cooling effect Land surface temperature MODIS Relative importance Spatial arrangement Urban greening
ISSN号	1618-8667
英文摘要	Optimizing urban greenspace spatial pattern has been widely recommended to mitigate urban heat island (UHI) effect, mainly based on the statistically significant relationships between temperature and measurements of urban greenspace spatial pattern at local scale within a city. However, the scientific evidence at the city level is scarce, even though the importance of urban greenspace spatial pattern in mitigating UHI effect at the city level has been recognized. This study aims to fill this gap by investigating the relationship between the city level surface UHI intensity (SUHII) and a series of explanatory variables belonging to urban greenspace spatial pattern, urban morphology, and urban-rural difference of surface characteristics, using the region of Illinios-Indiana-Ohio in the USA as a case study. Results showed that urban greenspace spatial pattern variables were significantly correlated with SUHII, even after controlling for the impacts of urban-rural difference of surface characteristics (e.g., urban-rural difference of vegetation index) and urban morphology (e.g., urban size). SUHII was negatively correlated with patch density and mean patch shape of urban greenspace, and positively correlated with edge density of urban greenspace. Variance partitioning showed significant overlaps of the explanatory ability of these three groups of variables, which jointly explained 38% of the SUHII variation. Urban greenspace spatial pattern had a slightly larger independent role in explaining the SUHII variation than urban morphology (5% vs 2%), even though the urban-rural difference of surface characteristics was the major determinant (19%). Findings of this study extended our understanding of the impact of urban greenspace spatial pattern on SUHII from the local scale to the city scale and can help design effective urban planning and management strategies at the city scale to improve urban thermal environment.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/42767]
专题	生态环境研究中心_城市与区域生态国家重点实验室
作者单位	1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Hunan Agr Univ, Hort & Landscape Coll, Changsha 410128, Hunan, Peoples R China 3.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
推荐引用方式 GB/T 7714	Li, Xiaoma,Zhou, Weiqi. Optimizing urban greenspace spatial pattern to mitigate urban heat island effects: Extending understanding from local to the city scale[J]. URBAN FORESTRY & URBAN GREENING,2019,41:255-263.
APA	Li, Xiaoma,&Zhou, Weiqi.(2019).Optimizing urban greenspace spatial pattern to mitigate urban heat island effects: Extending understanding from local to the city scale.URBAN FORESTRY & URBAN GREENING,41,255-263.
MLA	Li, Xiaoma,et al."Optimizing urban greenspace spatial pattern to mitigate urban heat island effects: Extending understanding from local to the city scale".URBAN FORESTRY & URBAN GREENING 41(2019):255-263.