Examining indicators and methods for quantifying ozone exposure to vegetation
文献类型：期刊论文
| 作者 | Mao, Huiting3; Felker-Quinn, Emmi4; Sive, Barkley4; Zhang, Leiming5; Ye, Zhuyun6,7; Fang, Hongliang1,2 |
| 刊名 | ATMOSPHERIC ENVIRONMENT
 |
| 出版日期 | 2024 |
| 卷号 | 316页码:9 |
| ISSN号 | 1352-2310 |
| 关键词 | Ozone Dry deposition Stomatal ozone flux Stomatal conductance |
| DOI | 10.1016/j.atmosenv.2023.120195 |
| 通讯作者 | Mao, Huiting(hmao@esf.edu) |
| 英文摘要 | The U.S. National Park Service uses W126 to assess critical levels of ozone (O-3) exposure to sensitive plant species, whereas the scientific community considers the stomatal flux-based metric, phytotoxic O-3 dose (POD), more relevant in foliar risk evaluation. This study found a decreasing trend of 0.15 ppm-hrs/yr (p = 0.049) in W126 at a Yellowstone National Park monitoring site during 1997-2021 and no trend at a Grand Teton National Park site over 2012-2021 but no trends at both sites in POD calculated following the United Nations Economic Commission for Europe Convention on Long-range Transboundary Air Pollution (CLRTAP) (2017). To evaluate the CLRTAP (2017) method, 2019 summer POD was calculated for comparison using the Big-leaf model and was found 20%-100% less than the CLRTAP (2017)-calculated leaf-level one already, let alone compared to the latter scaled up to canopy-level, owing to the much smaller stomatal O-3 flux (SOF) estimates under most conditions. Further analysis revealed exceptions where larger SOF values (>0.02 mmol/m(2)/hr), obtained from using the Big-leaf model with measured sensible heat and water vapor flux included in input, were not captured by the CLRTAP (2017) method and the Big-leaf model with input of regular meteorological variables only. Those large SOF values resulted under cooler, less windy, more humid, and cloudier conditions, when the approximate water vapor concentration difference between the ambient and leaf saturation level was found <1 mol/m(3). A multivariate function was developed, through machine learning, by regressing SOF on air temperature, wind speed, relative humidity, phytosynthetically active radiation, and O-3 concentration. Its testing and evaluation demonstrated improved estimates of the large variability in SOF. This new parameterization showed promising capability of assessing critical levels of O-3 exposure in park management, and it could be further improved with long-term flux measurement data becoming available and evapotranspiration better represented. |
| WOS关键词 | GASEOUS DRY DEPOSITION ; STOMATAL UPTAKE ; FLUX ; ALGORITHMS ; EXTENSION ; FOREST |
| 资助项目 | Greater Yellowstone Coordinating Committee ; Air Resource Division, NPS |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:001112897800001 |
| 资助机构 | Greater Yellowstone Coordinating Committee ; Air Resource Division, NPS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200396]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Mao, Huiting |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.State Univ New York Coll Environm Sci & Forestry, Dept Chem, Syracuse, NY 13210 USA 4.Air Resources Div, Natl Pk Serv, Lakewood, CO 80228 USA 5.Environm & Climate Change Canada, Toronto, ON, Canada 6.Aarhus Univ, Dept Environm Sci, Roskilde, Denmark 7.Aarhus Univ, Interdisciplinary Ctr Climate Change, iCLIMATE, Roskilde, Denmark |
| 推荐引用方式 GB/T 7714 | Mao, Huiting,Felker-Quinn, Emmi,Sive, Barkley,et al. Examining indicators and methods for quantifying ozone exposure to vegetation[J]. ATMOSPHERIC ENVIRONMENT,2024,316:9. |
| APA | Mao, Huiting,Felker-Quinn, Emmi,Sive, Barkley,Zhang, Leiming,Ye, Zhuyun,&Fang, Hongliang.(2024).Examining indicators and methods for quantifying ozone exposure to vegetation.ATMOSPHERIC ENVIRONMENT,316,9. |
| MLA | Mao, Huiting,et al."Examining indicators and methods for quantifying ozone exposure to vegetation".ATMOSPHERIC ENVIRONMENT 316(2024):9. |
入库方式： OAI收割
来源：地理科学与资源研究所
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