北京城市绿地与周边道路空气CO2浓度和δ13C值的差异及影响因素

doi:10.13287/j.1001-9332.201911.026

应用生态学报 ›› 2019, Vol. 30 ›› Issue (11): 3844-3854.doi: 10.13287/j.1001-9332.201911.026

北京城市绿地与周边道路空气CO₂浓度和δ¹³C值的差异及影响因素

孙守家^1,2*, 雷帅^1,2, 仇兰芬³, 李春友⁴, 舒健骅³

¹中国林业科学研究院林业研究所/国家林业局林木培育重点实验室, 北京 100091;
²南京林业大学南方现代林业协同创新中心, 南京 210037;
³北京市园林科学研究院/园林绿地生态功能评价与调控技术北京市重点实验室, 北京 100102;
⁴河北农业大学园林与旅游学院, 河北保定 071000

收稿日期:2019-01-03 出版日期:2019-11-15 发布日期:2019-11-15
通讯作者: * E-mail: sunshj@caf.ac.cn
作者简介:孙守家, 男, 1975年生, 博士研究生. 主要从事植物生理生态学和稳定同位素生态学研究. E-mail: sunshj@caf.ac.cn
基金资助:
本文由国家自然科学基金项目(31470705)和南京林业大学南方现代林业协同创新中心项目资助

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-jia^1,2*, LEI Shuai^1,2, QIU Lan-fen³, LI Chun-you⁴, SHU Jian-hua³

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

摘要/Abstract

摘要： 采用离轴积分腔输出光谱技术测定了北京市4组绿地及其相邻道路上CO₂浓度和δ¹³C值的变化,分析城市绿地对近地层CO₂浓度空间分布的影响.结果表明:北京城市CO₂浓度和δ¹³C值存在时空差异,城区CO₂浓度最高,近郊次之,远郊最低,CO₂存在明显的穹顶式分布,但δ¹³C值变化分布恰好相反.在非生长季节中,绿地与相邻道路之间的ΔCO₂和Δ¹³C值较小,4个试验点之间差异不显著.然而,在生长季节中,城区的北京园林科学研究院绿地与4环路(BLA&4^th RR)、北京奥林匹克森林公园与5环路(BOP&5^th RR)的ΔCO₂和Δ¹³C值显著高于郊区的稻香园公园与苏家屯东路(DP&SR)、北京门头沟城郊森林站与站外道路(MTG&MR).在生长季节和非生长季节中,4个试验点的CO₂浓度与车流量呈显著正相关,表明车流量是影响市区CO₂浓度空间分布的重要因素之一.非生长季节中δ¹³C值与车流量呈显著负相关,但在生长季节,δ¹³C值与车流量相关性不显著.4块绿地内外的ΔCO₂浓度值均与叶面积指数(LAI)呈显著负相关,Δ¹³C值与LAI呈极显著的对数函数关系.逐步回归分析表明,生长季节中太阳辐射、温度和LAI对市区和近郊绿地内外ΔCO₂浓度具有显著影响,温度和太阳辐射是影响Δ¹³C值的主要因子.生长季节中,植物通过光合作用降低了绿地系统近地层的CO₂浓度,表明绿地系统在改善城市生态环境方面发挥积极作用.

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&4^th RR (Beijing Institute of Landscape Architecture and 4^th Ring Road) and BOP&5^th RR (Beijing Olympic Forest Park and 5^th 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.

孙守家, 雷帅, 仇兰芬, 李春友, 舒健骅. 北京城市绿地与周边道路空气CO₂浓度和δ¹³C值的差异及影响因素[J]. 应用生态学报, 2019, 30(11): 3844-3854.

SUN Shou-jia, LEI Shuai, QIU Lan-fen, LI Chun-you, SHU Jian-hua. Differences in atmospheric CO₂ concentration and δ¹³C value between green spaces and its adjacent roads as well as the influencing factors in Beijing, China.[J]. Chinese Journal of Applied Ecology, 2019, 30(11): 3844-3854.

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北京城市绿地与周边道路空气CO₂浓度和δ¹³C值的差异及影响因素

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

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