Examining indicators and methods for quantifying ozone exposure to vegetation

Mao, Huiting; Felker-Quinn, Emmi; Sive, Barkley; Zhang, Leiming; Ye, Zhuyun; Fang, Hongliang

doi:https://open-science.canada.ca/handle/123456789/1338

Examining indicators and methods for quantifying ozone exposure to vegetation

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dc.contributor.author: Mao, Huiting; Felker-Quinn, Emmi; Sive, Barkley; Zhang, Leiming; Ye, Zhuyun; Fang, Hongliang
dc.date.accepted: 2023-11-02
dc.date.accessioned: 2023-12-05T20:56:12Z
dc.date.available: 2023-12-05T20:56:12Z
dc.date.issued: 2024-01-01
dc.date.submitted: 2023-07-05
dc.description.abstract - en: The U.S. National Park Service uses W126 to assess critical levels of ozone (O3) exposure to sensitive plant species, whereas the scientific community considers the stomatal flux-based metric, phytotoxic O3 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 O3 flux (SOF) estimates under most conditions. Further analysis revealed exceptions where larger SOF values (>0.02 mmol/m2/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 mole/m3. A multivariate function was developed, through machine learning, by regressing SOF on air temperature, wind speed, relative humidity, phytosynthetically active radiation, and O3 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 O3 exposure in park management, and it could be further improved with long-term flux measurement data becoming available and evapotranspiration better represented.
dc.description.plainlanguage - en: This study compares different methodologies to assess tropospheric impacts of ozone on vegetation. In particular, W126, the current ozone standard used in the United States (US), was compared with three different approaches to calculate ozone fluxes.
dc.description.plainlanguage - fr: Dans le cadre de cette étude, on a comparé différentes méthodologies pour évaluer les impacts troposphériques de l’ozone sur la végétation. En particulier, l’indice W126, la norme actuelle relative à l’ozone utilisée aux États-Unis, a été comparé à trois approches pour calculer les flux d’ozone.
dc.identifier.uri: https://open-science.canada.ca/handle/123456789/1338
dc.language.iso: en
dc.publisher - en: Environment and Climate Change Canada
dc.publisher - fr: Environnement et Changement climatique Canada
dc.relation.isreplacedby: https://doi.org/10.1016/j.atmosenv.2023.120195
dc.rights - en: Open Government Licence - Canada
dc.rights - fr: Licence du gouvernement ouvert - Canada
dc.rights.openaccesslevel - en: Green
dc.rights.openaccesslevel - fr: Vert
dc.rights.uri - en: https://open.canada.ca/en/open-government-licence-canada
dc.rights.uri - fr: https://ouvert.canada.ca/fr/licence-du-gouvernement-ouvert-canada
dc.subject - en: Biological diversity; Nature and environment; Science and technology; Climate
dc.subject - fr: Diversité biologique; Nature et environnement; Sciences et technologie; Climat
dc.subject.en - en: Biological diversity; Nature and environment; Science and technology; Climate
dc.subject.fr - fr: Diversité biologique; Nature et environnement; Sciences et technologie; Climat
dc.title - en: Examining indicators and methods for quantifying ozone exposure to vegetation
dc.type - en: Submitted manuscript
dc.type - fr: Manuscrit soumis
local.article.journaltitle: Atmospheric Environment
local.pagination: 27 pages
local.peerreview - en: No
local.peerreview - fr: Non

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