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Chinese Journal of Applied Ecology ›› 2019, Vol. 30 ›› Issue (11): 3844-3854.doi: 10.13287/j.1001-9332.201911.026

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Differences in atmospheric CO2 concentration and δ13C value between green spaces and its adjacent roads as well as the influencing factors in Beijing, China.

SUN Shou-jia1,2*, LEI Shuai1,2, QIU Lan-fen3, LI Chun-you4, SHU Jian-hua3   

  1. 1Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China;
    2Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China;
    3Beijing Key Laboratory of Ecological Function Assessment and Regulation Technology of Green Space, Beijing Institute of Landscape Architecture, Beijing 100102, China;
    4College of Landscape and Travel, Agricultural University of Hebei, Baoding 071000, Hebei, China
  • Received:2019-01-03 Online:2019-11-15 Published:2019-11-15
  • Contact: * E-mail: sunshj@caf.ac.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (31470705) and the Project of Co-Innovation Center for Sustainable Forestry in Southern China of Nanjing Forestry University

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Abstract: Near-surface atmospheric CO2 concentration and δ13C value in four greenspaces and on their adjacent roads in Beijing were measured by off-axis integrated cavity output spectroscopy to analyze the influence of urban greenspace on spatial distribution of near-surface atmospheric CO2. The results showed that atmospheric CO2 concentration and δ13C value varied substantially both temporally and spatially. The highest CO2 concentration was found in the urban area, followed by the suburbs, and the lowest CO2 concentration was in the outer suburbs. There was a clear near-surface atmospheric CO2 dome, but a reverse pattern for δ13C value. During the non-growing season, the ΔCO2 and Δ13C between greenspace and adjacent roads were low. The differences among the four experimental sites were not significant. In the growing season, the ΔCO2 and Δ13C at the BLA&4th RR (Beijing Institute of Landscape Architecture and 4th Ring Road) and BOP&5th RR (Beijing Olympic Forest Park and 5th Ring Road) in urban areas were significantly higher than those at DP&SR (Daoxianghu Park and Sujiatuo Road) and MTG&MR (Mentougou forest experimental station and an adjacent road) in the suburbs. During the growing and non-growing seasons, CO2 concentration of all examined sites was significantly positively related with the traffic volume, indicating that traffic volume was an important factor affecting the spatial distribution of CO2. The δ13C value was significantly negatively related with traffic volume during non-growing season, but no significant relationship was found during the growing season. The ΔCO2 concentration between the four green-spaces and their adjacent roads were significantly negatively related with leaf area index (LAI). The Δ13C value were significantly logarithmically related to LAI. Results from stepwise regression showed that solar radiation, temperature, and LAI significantly affected ΔCO2 in urban areas and suburbs during the growing season, and that temperature and solar radiation were the major driving factors for Δ13C. During the growing season, plants in the greenspaces assimilated CO2 via photosynthesis and thus reduced the near-surface atmospheric CO2 concentration. Our results indicate that green-spaces play a positive role in improving ecological environment in urban areas.