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Impact of urban greenspace spatial pattern on land surface temperature: a case study in Beijing metropolitan area, China

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Abstract

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.

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Acknowledgements

This work was funded by the National Key Research and Development Program of China (Nos. 2018YFC1406906, and 2016YFA0600104) and Top-Notch Young Talents Program of China (to Shen).

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Authors and Affiliations

  1. State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, No. 19 Xinjiekouwai Street, Haidian District, Beijing, 100875, China

    Jie Yin, Xiaoxu Wu, Hongxu Xiang, Chunming Shi, Zhiyi Guo & Chenlu Li

  2. Beijing Key Laboratory of Precision Forestry, Forestry College, Beijing Forestry University, Beijing, 100083, China

    Jie Yin & Xiaoli Zhang

  3. Key Laboratory of Alpine Ecology and Biodiversity, CAS Center for Excellence in Tibetan Plateau Earth Sciences, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China

    Miaogen Shen

  4. Satellite Environment Center, Ministry of Environmental Protection, Beijing, 100094, China

    Chenghao Zhu

Authors
  1. Jie Yin
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  2. Xiaoxu Wu
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  3. Miaogen Shen
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  4. Xiaoli Zhang
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  5. Chenghao Zhu
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  6. Hongxu Xiang
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  7. Chunming Shi
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  8. Zhiyi Guo
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  9. Chenlu Li
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Correspondence to Xiaoxu Wu or Chunming Shi.

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Yin, J., Wu, X., Shen, M. et al. Impact of urban greenspace spatial pattern on land surface temperature: a case study in Beijing metropolitan area, China. Landscape Ecol 34, 2949–2961 (2019). https://doi.org/10.1007/s10980-019-00932-6

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  • DOI: https://doi.org/10.1007/s10980-019-00932-6

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