Study of CO2 Emissions from Traffic and CO2 Sequestration by Vegetation Based on Eddy Covariance Flux Measurements in Suburb of Beijing, China
文献类型：期刊论文
| 作者 | Lia, Yu1; Gao, Jing1; Dong, Suocheng1,2 ; Zheng, Ji1,2; Jiac, Xin3
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| 刊名 | POLISH JOURNAL OF ENVIRONMENTAL STUDIES
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| 出版日期 | 2020 |
| 卷号 | 29期号:1页码:727-738 |
| 关键词 | CO2 emissions from transportation CO2 fluxes CO2 sequestration by vegetation fertilization effect |
| ISSN号 | 1230-1485 |
| DOI | 10.15244/pjoes/103025 |
| 通讯作者 | Gao, Jing(gaojingcrystal@126.com) |
| 英文摘要 | Many studies have shown that urban forests function as important carbon (C) sinks by sequestering carbon dioxide (CO2), and there are a great deal of scientific data on their potential to fix CO2 through photosynthesis, including variations among vegetation types and temporal dynamics. However, although vehicle traffic is one of the main anthropogenic sources of CO2, the relationship between these emissions and sequestration by vegetation is unclear. Here, we use the eddy covariance technique to directly measure the net CO2 flux to: (1) quantitatively validate C emissions from transportation and C sequestration by vegetation at the spatio-temporal resolution of 1 km and 30 min and (2) select tree species that best sequester C by photosynthesis and identify the major controlling factors. During the daytime monitoring period (7:00-17:00) of the plant-growing season (May-October), the net photosynthetic C sequestration per tree was used to measure the C fixation capacity of different tree species, and the order was Mono maple > Amur cork tree > Goldenrain > Chinese ash > Chinese pine > Ginkgo. In the study, C sequestration by trees was primarily controlled by photosynthetically active radiation, traffic volume and relative humidity, which together explained 92.3% of the total C sequestration by trees during the monitoring period in the growing season, and C sequestration was positively correlated with photosynthetically active radiation and traffic flow, but negatively correlated with relative humidity. Furthermore, vehicle CO2 emissions significantly increased the amount of photosynthetic C sequestration due to a fertilization effect. Therefore, it is necessary to improve the accuracy of micro-scale regional C flux measurements in order to more accurately determine CO2 sources and sinks and inform the selection of vegetation that can maximize the sequestration of traffic CO2 emissions. |
| WOS关键词 | OFFSETTING CARBON EMISSIONS ; URBAN FORESTS ; DECIDUOUS FOREST ; STORAGE ; MODEL ; TREES ; PHOTOSYNTHESIS ; DENSITY ; BALANCE ; CANOPY |
| 资助项目 | Research on The Process and Influence Mechanism of Carbon Dioxide Emissions in Different Areas of Beijing Based on Flux Footprint[41771182] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000501486900022 |
| 出版者 | HARD |
| 资助机构 | Research on The Process and Influence Mechanism of Carbon Dioxide Emissions in Different Areas of Beijing Based on Flux Footprint |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/130793]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Gao, Jing |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 3.Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lia, Yu,Gao, Jing,Dong, Suocheng,et al. Study of CO2 Emissions from Traffic and CO2 Sequestration by Vegetation Based on Eddy Covariance Flux Measurements in Suburb of Beijing, China[J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES,2020,29(1):727-738. |
| APA | Lia, Yu,Gao, Jing,Dong, Suocheng,Zheng, Ji,&Jiac, Xin.(2020).Study of CO2 Emissions from Traffic and CO2 Sequestration by Vegetation Based on Eddy Covariance Flux Measurements in Suburb of Beijing, China.POLISH JOURNAL OF ENVIRONMENTAL STUDIES,29(1),727-738. |
| MLA | Lia, Yu,et al."Study of CO2 Emissions from Traffic and CO2 Sequestration by Vegetation Based on Eddy Covariance Flux Measurements in Suburb of Beijing, China".POLISH JOURNAL OF ENVIRONMENTAL STUDIES 29.1(2020):727-738. |
入库方式： OAI收割
来源：地理科学与资源研究所
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