• Medientyp: E-Artikel
  • Titel: Characterization of total ecosystem scale biogenic VOC exchange at a Mediterranean oak-hornbeam forest
  • Beteiligte: Schallhart, S. [VerfasserIn]; Rantala, P. [VerfasserIn]; Nemitz, E. [VerfasserIn]; Mogensen, D. [VerfasserIn]; Tillmann, R. [VerfasserIn]; Mentel, T. F. [VerfasserIn]; Rinne, J. [VerfasserIn]; Ruuskanen, T. M. [VerfasserIn]
  • Erschienen: EGU, 2015
  • Erschienen in: Atmospheric chemistry and physics / Discussions 15(19), 27627 - 27673 (2015). doi:10.5194/acpd-15-27627-2015
  • Sprache: Englisch
  • DOI: https://doi.org/10.5194/acpd-15-27627-2015
  • ISSN: 1680-7367; 1680-7375
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  • Beschreibung: Recently, the number and amount of biogenically emitted volatile organic compounds (VOCs) has been discussed vigorously. Depending on the ecosystem the published number varies between a dozen and several hundred compounds. We present ecosystem exchange fluxes from a mixed oak-hornbeam forest in the Po Valley, Italy. The fluxes were measured by a proton transfer reaction-time-of-flight (PTR-ToF) mass spectrometer and calculated by the eddy covariance (EC) method. Detectable fluxes were observed for twelve compounds, dominated by isoprene, which comprised over 65 % of the total flux emission. The daily average of the total VOC emission was 9.5 nmol m-2 s-1. Methanol had the highest concentration and accounted for the largest deposition. Methanol seemed to be deposited to dew, as the deposition happened in the early morning, right after the calculated surface temperature came closest to the calculated dew point temperature.We estimated that up to 27 % of the upward flux of methyl vinyl ketone (MVK) and methacrolein (MACR) originated from atmospheric oxidation of isoprene. A comparison between two flux detection methods (classical/visual and automated) was made. Their respective advantages and disadvantages were discussed and the differences in their results shown. Both provide comparable results; however we recommend the automated method with a compound filter, which combines the fast analysis and better flux detection, without the overestimation due to double counting.
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