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Impacts of Composition and Canopy Characteristics of Plant Communities on Microclimate and Airborne Particles in Beijing, China

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  • Shuxin Fan

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    Laboratory of Beijing Urban and Rural Ecological Environment, Beijing 100083, China
    National Engineering Research Center for Floriculture, Beijing 100083, China)

  • Mengyuan Zhang

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    Laboratory of Beijing Urban and Rural Ecological Environment, Beijing 100083, China
    National Engineering Research Center for Floriculture, Beijing 100083, China)

  • Yilun Li

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    Laboratory of Beijing Urban and Rural Ecological Environment, Beijing 100083, China
    National Engineering Research Center for Floriculture, Beijing 100083, China)

  • Kun Li

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    Laboratory of Beijing Urban and Rural Ecological Environment, Beijing 100083, China
    National Engineering Research Center for Floriculture, Beijing 100083, China)

  • Li Dong

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    Laboratory of Beijing Urban and Rural Ecological Environment, Beijing 100083, China
    National Engineering Research Center for Floriculture, Beijing 100083, China)

Abstract

As the basic component of urban green-spaces, plant communities regulate both the microclimate and air particle levels. Understanding the regulatory mechanism of plant communities represents the theoretical basis for using green spaces to improve the urban climate and mitigate air particle pollution. Based on field investigations, differences in the daily air temperatures (AT), relative humidity (RH), and PM 10 and PM 2.5 concentrations in eight compositional types of plant communities were quantitatively analyzed. In addition, the correlations between these variables and various canopy parameters were further established in order to detect critical thresholds. The results showed that, among the eight compositional types, significant differences existed in daily AT, RH, PM 10 and PM 2.5 levels. The mixed tree, shrub and grass (M-TSG) community had the strongest cooling and PM 10 reduction effects; the broad-leafed tree, shrub and grass (B-TSG) community had the best humidifying effect; while the mixed tree and grass (M-TG) community most effectively reduced PM 2.5 concentrations. The daily AT and PM 10 concentrations were significantly negatively correlated with canopy density (CD) and leaf area index (LAI), but positively correlated with canopy porosity (CP) and sky view factor (SVF), while these correlations were opposite for daily RH. The response of daily PM 2.5 concentrations to canopy characteristics was complex, featuring multiple non-linear relations. Critical thresholds were found in some cases. Overall, M-TSG or M-TG communities with about 75% CD, 55% CP, 2.5 LAI and 0.18 SVF perform most noticeable both microclimate and air particle regulation services.

Suggested Citation

  • Shuxin Fan & Mengyuan Zhang & Yilun Li & Kun Li & Li Dong, 2021. "Impacts of Composition and Canopy Characteristics of Plant Communities on Microclimate and Airborne Particles in Beijing, China," Sustainability, MDPI, vol. 13(9), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4791-:d:542789
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    References listed on IDEAS

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    1. Rui Wang & Qi Chen & Dexiang Wang, 2022. "Effects of Altitude, Plant Communities, and Canopies on the Thermal Comfort, Negative Air Ions, and Airborne Particles of Mountain Forests in Summer," Sustainability, MDPI, vol. 14(7), pages 1-22, March.

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