气候变化领域集成服务门户(CCPortal): Impact of urban greenspace spatial pattern on land surface temperature: a case study in Beijing metropolitan area, China

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DOI	10.1007/s10980-019-00932-6
	Impact of urban greenspace spatial pattern on land surface temperature: a case study in Beijing metropolitan area, China
	Yin, Jie; Wu, Xiaoxu; Shen, Miaogen; Zhang, Xiaoli; Zhu, Chenghao; Xiang, Hongxu; Shi, Chunming; Guo, Zhiyi; Li, Chenlu
通讯作者	Wu, XX ; Shi, CM (通讯作者)
发表日期	2019
ISSN	0921-2973
EISSN	1572-9761
起始页码	2949
结束页码	2961
卷号	34 期号:12
英文摘要	Context Urban greenspace can significantly decrease the land surface temperature (LST). The spatial characteristics and vegetation composition of urban greenspace have a great influence on its cooling capacity. Objectives We sought to distinguish the cooling effect by different spatial pattern factors of greenspace and by the interaction of these factors, which may be useful in understanding cooling effect and designing urban greenspace. Methods Both the greenspace derived from SPOT6 and LST retrieved from Landsat-8 images are employed to identify the dominant factors influencing LST and investigate the interaction between any two dominant factors in the Beijing metropolitan area. Results The results indicate that the dominant spatial factors affecting LST vary by greenspace type, i.e., for grass, the number of patches (NP) and patch density (PD) have a significant effect on LST while for coniferous forest, the landscape shape index (LSI) is the dominant spatial factor. And the NP and percentage of landscape are the dominant spatial factors for broad-leaved forest and mixed forest, respectively. The interaction of any two dominant factors is larger than their individual effects, and the interaction between the NP and LSI of greenspace is not as strong as the interaction between the NP and PD. Conclusions Urban greenspace design and planning need to consider the spatial pattern of different types of greenspace. On this basis, we proposed a pattern effective in cooling LST in cities climatically similar to Beijing, which could provide theoretical reference for the design and planning of urban greenspace.
关键词	HEAT-ISLAND LANDSCAPE COMPOSITION CLIMATE CITY VEGETATION MITIGATION DESIGN STREET ENERGY SPACES
英文关键词	Urban greenspace; Land surface temperature; Spatial pattern; Geo-detector; Interactive effect
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Physical Geography ; Geology
WOS类目	Ecology ; Geography, Physical ; Geosciences, Multidisciplinary
WOS记录号	WOS:000495762200001
来源期刊	LANDSCAPE ECOLOGY
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259501
推荐引用方式 GB/T 7714	Yin, Jie,Wu, Xiaoxu,Shen, Miaogen,et al. Impact of urban greenspace spatial pattern on land surface temperature: a case study in Beijing metropolitan area, China[J]. 中国科学院青藏高原研究所,2019,34(12).
APA	Yin, Jie.,Wu, Xiaoxu.,Shen, Miaogen.,Zhang, Xiaoli.,Zhu, Chenghao.,...&Li, Chenlu.(2019).Impact of urban greenspace spatial pattern on land surface temperature: a case study in Beijing metropolitan area, China.LANDSCAPE ECOLOGY,34(12).
MLA	Yin, Jie,et al."Impact of urban greenspace spatial pattern on land surface temperature: a case study in Beijing metropolitan area, China".LANDSCAPE ECOLOGY 34.12(2019).