Articles | Volume 20, issue 1
https://doi.org/10.5194/bg-20-45-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-45-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Minor contributions of daytime monoterpenes are major contributors to atmospheric reactivity
Deborah F. McGlynn
Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
Graham Frazier
Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
Laura E. R. Barry
Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA
Manuel T. Lerdau
Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA
Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
Sally E. Pusede
Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA
Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
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Hirofumi Ohyama, Isamu Morino, Voltaire A. Velazco, Theresa Klausner, Gerry Bagtasa, Matthäus Kiel, Matthias Frey, Akihiro Hori, Osamu Uchino, Tsuneo Matsunaga, Nicholas M. Deutscher, Joshua P. DiGangi, Yonghoon Choi, Glenn S. Diskin, Sally E. Pusede, Alina Fiehn, Anke Roiger, Michael Lichtenstern, Hans Schlager, Pao K. Wang, Charles C.-K. Chou, Maria Dolores Andrés-Hernández, and John P. Burrows
Atmos. Meas. Tech., 13, 5149–5163, https://doi.org/10.5194/amt-13-5149-2020, https://doi.org/10.5194/amt-13-5149-2020, 2020
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Column-averaged dry-air mole fractions of CO2 and CH4 measured by a solar viewing portable Fourier transform spectrometer (EM27/SUN) were validated with in situ profile data obtained during the transfer flights of two aircraft campaigns. Atmospheric dynamical properties based on ERA5 and WRF-Chem were used as criteria for selecting the best aircraft profiles for the validation. The resulting air-mass-independent correction factors for the EM27/SUN data were 0.9878 for CO2 and 0.9829 for CH4.
Cited articles
Atkinson, R. and Arey, J.: Gas-phase tropospheric chemistry of biogenic
volatile organic compounds: A review, Atmos. Environ., 37, 197–219,
https://doi.org/10.1016/S1352-2310(03)00391-1, 2003a. a
Atkinson, R. and Arey, J.: Atmospheric Degradation of Volatile Organic
Compounds, Chem. Rev., 103, 4605–4638, https://doi.org/10.1021/cr0206420,
2003b. a
Atkinson, R., Aschmann, S. M., and Arey, J.: Rate constants for the gas-phase
reactions of OH and NO3 Radicals and O3 with
sabinene and camphene, Atmos. Environ. Pt. A, 24, 2647–2654, https://doi.org/10.1016/0960-1686(90)90144-C, 1990a. a
Atkinson, R., Hasegawa, D., and Aschmann, S. M.: Rate constants for the
gas-phase reactions of O3 with a series of monoterpenes and
related compounds at 296 ± 2 K, Int. J. Chem. Kin.,
22, 871–887, https://doi.org/10.1002/kin.550220807, 1990b. a
Atkinson, R., Baulch, D. L., Cox, R. A., Crowley, J. N., Hampson, R. F., Hynes,
R. G., Jenkin, M. E., Rossi, M. J., and Troe, J.: Evaluated kinetic and
photochemical data for atmospheric chemistry: Volume II – gas phase
reactions of organic species, Atmos. Chem. Phys., 6,
3625–4055, https://doi.org/10.5194/acp-6-3625-2006, 2006. a
Bouvier-Brown, N. C., Goldstein, A. H., Gilman, J. B., Kuster, W. C., and
de Gouw, J. A.: In-situ ambient quantification of monoterpenes,
sesquiterpenes, and related oxygenated compounds during BEARPEX 2007:
implications for gas- and particle-phase chemistry, Atmos. Chem.
Phys., 9, 5505–5518, https://doi.org/10.5194/acp-9-5505-2009, 2009. a, b, c, d, e
Chan, W.: The Fate of Biogenic Hydrocarbons within a Forest Canopy: Field
Observation and Model Results, Ph.D. thesis, University of Virginia, LibraETD, https://doi.org/10.18130/V3MV8J, 2011. a
Davison, B., Taipale, R., Langford, B., Misztal, P., Fares, S., Matteucci, G.,
Loreto, F., Cape, J. N., Rinne, J., and Hewitt, C. N.: Concentrations and
fluxes of biogenic volatile organic compounds above a Mediterranean Macchia
ecosystem in western Italy, Biogeosciences, 6, 1655–1670,
https://doi.org/10.5194/bg-6-1655-2009, 2009. a
Delwiche, C. F. and Sharkey, T. D.: Rapid appearance of 13C in biogenic
isoprene when 13CO2 is fed to intact leaves, Plant Cell
Environ., 16, 587–591, https://doi.org/10.1111/j.1365-3040.1993.tb00907.x, 1993. a
Faiola, C. L., Buchholz, A., Kari, E., Yli-Pirilä, P., Holopainen, J. K.,
Kivimäenpää, M., Miettinen, P., Worsnop, D. R., Lehtinen,
K. E., Guenther, A. B., and Virtanen, A.: Terpene Composition Complexity
Controls Secondary Organic Aerosol Yields from Scots Pine Volatile
Emissions, Sci. Rep., 8, 1–13, https://doi.org/10.1038/s41598-018-21045-1,
2018. a, b
Fischbach, R. J., Staudt, M., Zimmer, I., Rambal, S., and Schnitzler, J.-P.:
Seasonal pattern of monoterpene synthase activities in leaves of the
evergreen tree Quercus ilex, Physiol. Plantarum, 114, 354–360,
https://doi.org/10.1034/j.1399-3054.2002.1140304.x, 2002. a
Frazier, G., McGlynn, D. F., Barry, L. E., Lerdau, M., Pusede, S. E., and
Isaacman-VanWertz, G.: Composition, concentration, and oxidant reactivity of
sesquiterpenes in the southeastern U.S., Environ. Sci.-Atmos., 2, 1208–1220,
https://doi.org/10.1039/d2ea00059h, 2022. a, b
Friedman, B. and Farmer, D. K.: SOA and gas phase organic acid yields from the
sequential photooxidation of seven monoterpenes, Atmos. Environ.,
187, 335–345, https://doi.org/10.1016/j.atmosenv.2018.06.003, 2018. a, b
Funk, J. L., Mak, J. E., and Lerdau, M. T.: Stress-induced changes in carbon
sources for isoprene production in Populus deltoides, Plant Cell
Environ., 27, 747–755, https://doi.org/10.1111/j.1365-3040.2004.01177.x, 2004. a, b
Ghirardo, A., Koch, K., Taipale, R., Zimmer, I., Schnitzler, J.-P., and Rinne,
J.: Determination of de novo and pool emissions of terpenes from four common
boreal/alpine trees by 13CO2 labelling and PTR-MS analysis, Plant Cell
Environ., 33, 781–792, https://doi.org/10.1111/j.1365-3040.2009.02104.x, 2010. a, b, c, d
Guenther, A.: Seasonal and spatial variations in natural volatile organic
compound emissions, Ecol. Appl., 7, 34–45, 1997. a
Guenther, A., Nicholas, C., Fall, R., Klinger, L., Mckay, W. A., and Scholes,
B.: A global model of natural volatile organic compound emissions, J.
Geophys. Res., 100, 8873–8892, 1995. a
Guenther, A., Greenberg, J., Harley, P., Helmig, D., Klinger, L., Vierling, L.,
Zimmerman, P., and Geron, C.: Leaf, branch, stand and landscape scale
measurements of volatile organic compound fluxes from U.S. woodlands, Tree
Physiol., 16, 17–24, https://doi.org/10.1093/treephys/16.1-2.17, 1996. a
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006. a
Guenther, A. B., Monson, R. K., and Fall, R.: Isoprene and monoterpene
emission rate variability: Observations with eucalyptus and emission rate
algorithm development, J. Geophys. Res., 96, 10799,
https://doi.org/10.1029/91jd00960, 1991. a, b
Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., and Wang, X.: The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions, Geosci. Model Dev., 5, 1471–1492, https://doi.org/10.5194/gmd-5-1471-2012, 2012. a, b, c, d
Haapanala, S., Rinne, J., Hakola, H., Hellén, H., Laakso, L., Lihavainen,
H., Janson, R., O'Dowd, C., and Kulmala, M.: Boundary layer concentrations
and landscape scale emissions of volatile organic compounds in early spring,
Atmos. Chem. Phys., 7, 1869–1878,
https://doi.org/10.5194/acp-7-1869-2007, 2007. a
Hakola, H., Hellén, H., Hemmilä, M., Rinne, J., and Kulmala, M.:
In situ measurements of volatile organic compounds in a boreal forest,
Atmos. Chem. Phys., 12, 11665–11678,
https://doi.org/10.5194/acp-12-11665-2012, 2012. a
Harley, P., Eller, A., Guenther, A., and Monson, R. K.: Observations and
models of emissions of volatile terpenoid compounds from needles of ponderosa
pine trees growing in situ: Control by light, temperature and stomatal
conductance, Oecologia, 176, 35–55, https://doi.org/10.1007/s00442-014-3008-5, 2014. a
Isaacman-VanWertz, G., Sueper, D. T., Aikin, K. C., Lerner, B. M., Gilman,
J. B., de Gouw, J. A., Worsnop, D. R., and Goldstein, A. H.: Automated
single-ion peak fitting as an efficient approach for analyzing complex
chromatographic data, J. Chromatogr. A, 1529, 81–92,
https://doi.org/10.1016/j.chroma.2017.11.005, 2017. a, b
Kesselmeier, J. and Staudt, M.: An Overview on Emission, Physiology and
Ecology.pdf, J. Atmos. Chem., 33, 23–88,
https://doi.org/10.1023/A:1006127516791, 1999. a
Kroll, J. H. and Seinfeld, J. H.: Chemistry of secondary organic aerosol:
Formation and evolution of low-volatility organics in the atmosphere,
Atmos. Environ., 42, 3593–3624,
https://doi.org/10.1016/j.atmosenv.2008.01.003, 2008. a
Kuang, B. Y., Lin, P., Huang, X. H. H., and Yu, J. Z.: Sources of humic-like
substances in the Pearl River Delta, China: positive matrix factorization
analysis of PM2.5 major components and source markers, Atmos. Chem. Phys., 15, 1995–2008, https://doi.org/10.5194/acp-15-1995-2015, 2015. a
Lee, A., Goldstein, A. H., Keywood, M. D., Gao, S., Varutbangkul, V., Bahreini,
R., Ng, N. L., Flagan, R. C., and Seinfeld, J. H.: Gas-phase products and
secondary aerosol yields from the ozonolysis of ten different terpenes, J. Geophys. Res.-Atmos., 111,
1–18, https://doi.org/10.1029/2005JD006437, 2006. a
Lerdau, M. and Gray, D.: Ecology and evolution of light‐dependent and
light‐independent phytogenic volatile organic carbon, New Phytol.,
157, 199–211, https://doi.org/10.1046/j.1469-8137.2003.00673.x, 2003. a, b
Lerdau, M., Guenther, A., and Monson, R.: Plant Production and Emission of
Volatile Organic Compounds, BioScience, 47, 373–383, https://doi.org/10.2307/1313152,
1997. a
Lewinsohn, E., Gijzen, M., Muzika, R. M., Barton, K., and Croteau, R.:
Oleoresinosis in Grand Fir (Abies grandis) Saplings and Mature Trees
(Modulation of this Wound Response by Light and Water Stresses), Plant
Physiol., 101, 1021–1028, https://doi.org/10.1104/pp.101.3.1021, 1993. a, b
Lim, Y. B. and Ziemann, P. J.: Effects of Molecular Structure on Aerosol
Yields from OH Radical-Initiated Reactions of Linear, Branched, and Cyclic
Alkanes in the Presence of NOx, Environ. Sci. Technol., 43,
2328–2334, https://doi.org/10.1021/es803389s, 2009. a
Loreto, F., Förster, A., Dürr, M., Csiky, O., and Seufert, G.: On
the monoterpene emission under heat stress and on the increased
thermotolerance of leaves of Quercus ilex L. fumigated with selected
monoterpenes, Plant Cell Environ., 21, 101–107,
https://doi.org/10.1046/j.1365-3040.1998.00268.x, 1998. a
McGlynn, D. and Isaacman-VanWertz, G.: In-Canopy Biogenic Volatile Organic Compounds Mixing Ratios at the Virginia Forest Lab, Mendeley Data [data set], V3, https://doi.org/10.17632/jx3vn5xxcn.3, 2022. a
McGlynn, D. F., Barry, L. E. R., Lerdau, M. T., Pusede, S. E., and
Isaacman-VanWertz, G.: Measurement report: Variability in the composition of
biogenic volatile organic compounds in a Southeastern US forest and their
role in atmospheric reactivity, Atmos. Chem. Phys., 21,
15755–15770, https://doi.org/10.5194/acp-21-15755-2021, 2021. a, b, c, d, e, f, g, h, i
Niinemets, Ü. and Monson, R. K. (Eds.): Biology, Controls and Models of
Tree Volatile Organic Compound Emissions, vol. 5 of Tree Physiology,
Springer Netherlands, Dordrecht, https://doi.org/10.1007/978-94-007-6606-8, 2013. a, b, c, d
Niinemets, Ü., Reichstein, M., Staudt, M., Seufert, G., and Tenhunen,
J. D.: Stomatal constraints may affect emission of oxygenated monoterpenoids
from the foliage of Pinus pinea, Plant Physiol., 130, 1371–1385,
https://doi.org/10.1104/pp.009670, 2002. a
Panopoulou, A., Liakakou, E., Sauvage, S., Gros, V., Locoge, N., Stavroulas,
I., Bonsang, B., Gerasopoulos, E., and Mihalopoulos, N.: Yearlong
measurements of monoterpenes and isoprene in a Mediterranean city (Athens):
Natural vs anthropogenic origin, Atmos. Environ., 243, 117803,
https://doi.org/10.1016/j.atmosenv.2020.117803, 2020. a, b
Pinto, D. M., Tiiva, P., Miettinen, P., Joutsensaari, J., Kokkola, H., Nerg,
A.-M., Laaksonen, A., and Holopainen, J. K.: The effects of increasing
atmospheric ozone on biogenic monoterpene profiles and the formation of
secondary aerosols, Atmos. Environ., 41, 4877–4887,
https://doi.org/10.1016/j.atmosenv.2007.02.006, 2007. a
Pollmann, J., Ortega, J., and Helmig, D.: Analysis of atmospheric
sesquiterpenes: Sampling losses and mitigation of ozone interferences,
Environ. Sci. Technol., 39, 9620–9629,
https://doi.org/10.1021/es050440w, 2005. a
Porter, W. C., Safieddine, S. A., and Heald, C. L.: Impact of aromatics and
monoterpenes on simulated tropospheric ozone and total OH reactivity,
Atmos. Environ., 169, 250–257, https://doi.org/10.1016/j.atmosenv.2017.08.048,
2017. a
Pratt, K. A., Mielke, L. H., Shepson, P. B., Bryan, A. M., Steiner, A. L.,
Ortega, J., Daly, R., Helmig, D., Vogel, C. S., Griffith, S., Dusanter, S.,
Stevens, P. S., and Alaghmand, M.: Contributions of individual reactive
biogenic volatile organic compounds to organic nitrates above a mixed
forest, Atmos. Chem. Phys., 12, 10125–10143,
https://doi.org/10.5194/acp-12-10125-2012, 2012. a
Rinne, H. J., Guenther, A. B., Greenberg, J. P., and Harley, P. C.: Isoprene
and monoterpene fluxes measured above Amazonian rainforest and their
dependence on light and temperature, Atmos. Environ., 36,
2421–2426, https://doi.org/10.1016/S1352-2310(01)00523-4, 2002. a, b, c
Shu, Y. and Atkinson, R.: Rate constants for the gas‐phase reactions of
O3 with a series of Terpenes and OH radical formation from
the O3 reactions with Sesquiterpenes at 296 ± 2 K,
Int. J. Chem. Kinet., 26, 1193–1205,
https://doi.org/10.1002/kin.550261207, 1994. a
Staudt, M., Bertin, N., Frenzel, B., and Seufert, G.: Seasonal Variation in
Amount and Composition of Monoterpenes Emitted by Young Pinus pinea Trees –
Implications for Emission Modeling, Plant Cell Environ., 35, 77–99,
https://doi.org/10.1023/A:1006233010748, 1999. a, b
Steinbrecher, R., Hauff, K., Hakola, H., and Rössler, J.: A revised
parameterisation for emission modelling of isoprenoids for boreal plants,
Air Pollut. Res. Report, 70, 29–44, 1999. a
Taipale, R., Kajos, M. K., Patokoski, J., Rantala, P., Ruuskanen, T. M., and
Rinne, J.: Role of de novo biosynthesis in ecosystem scale monoterpene
emissions from a boreal Scots pine forest, Biogeosciences, 8, 2247–2255,
https://doi.org/10.5194/bg-8-2247-2011, 2011. a, b, c, d
Tingey, D., Manning, M., Grothaus, L. C., and Burns, W. F.: The Influence of
Light and Temperature on Isoprene Emission Rates from Live Oak, Physiol.
Plant., 47, 112–118, https://doi.org/10.1111/j.1399-3054.1979.tb03200.x, 1979. a, b
Ulbrich, I. M., Canagaratna, M. R., Zhang, Q., Worsnop, D. R., and Jimenez,
J. L.: Interpretation of organic components from Positive Matrix
Factorization of aerosol mass spectrometric data, Atmos. Chem.
Phys., 9, 2891–2918, https://doi.org/10.5194/acp-9-2891-2009, 2009.
a
Yee, L. D., Isaacman-VanWertz, G., Wernis, R. A., Meng, M., Rivera, V.,
Kreisberg, N. M., Hering, S. V., Bering, M. S., Glasius, M., Upshur, M. A.,
Gray Bé, A., Thomson, R. J., Geiger, F. M., Offenberg, J. H.,
Lewandowski, M., Kourtchev, I., Kalberer, M., De Sá, S., Martin,
S. T., Alexander, M. L., Palm, B. B., Hu, W., Campuzano-Jost, P., Day, D. A.,
Jimenez, J. L., Liu, Y., McKinney, K. A., Artaxo, P., Viegas, J., Manzi, A.,
Oliveira, M. B., De Souza, R., Machado, L. A., Longo, K., and Goldstein,
A. H.: Observations of sesquiterpenes and their oxidation products in
central Amazonia during the wet and dry seasons, Atmos. Chem.
Phys., 18, 10433–10457, https://doi.org/10.5194/acp-18-10433-2018, 2018. a
Yu, H., Guenther, A., Gu, D., Warneke, C., Geron, C., Goldstein, A., Graus, M.,
Karl, T., Kaser, L., Misztal, P., and Yuan, B.: Airborne measurements of
isoprene and monoterpene emissions from southeastern U.S. forests, Sci. Total Environ., 595, 149–158,
https://doi.org/10.1016/j.scitotenv.2017.03.262, 2017. a
Zimmerman, P. R.: Testing of hydrocarbones emissions from vegetation, leaf
litter and aquatic surfaces, and development of a methodology for compiling
biogenic emissions inventories, Tech. Rep.,
http://ci.nii.ac.jp/naid/10004472642/en/ (last access: 1 November 2022), 1979. a
Short summary
Using a custom-made gas chromatography flame ionization detector, 2 years of speciated hourly biogenic volatile organic compound data were collected in a forest in central Virginia. We identify diurnal and seasonal variability in the data, which is shown to impact atmospheric oxidant budgets. A comparison with emission models identified discrepancies with implications for model outcomes. We suggest increased monitoring of speciated biogenic volatile organic compounds to improve modeled results.
Using a custom-made gas chromatography flame ionization detector, 2 years of speciated hourly...
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