History effect of light and temperature on monoterpenoid emissions from Fagus sylvatica L. |
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| Authors: | M Demarcke J-F Müller N Schoon H Van Langenhove J Dewulf E Joó K Steppe M ?impraga B Heinesch M Aubinet C Amelynck |
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| Institution: | 1. Belgian Institute for Space Aeronomy, Ringlaan 3, B-1180 Brussels, Belgium;2. Research Group Environmental Organic Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium;3. Laboratory of Plant Ecology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium;4. Unité de Physique des Biosystèmes, Gembloux Agro-Bio Tech, Université de Liège, Gembloux, Belgium;1. IPSP-CNR, Institute for Sustainable Plant Protection, National Research Council, Via Madonna del Piano 10, 50019, Sesto Fiorentino, Florence, Italy;2. CEH, Centre for Ecology and Hydrology, Environment Centre Wales, Deiniol Road, Gwynedd, LL57 2UW Bangor, UK;3. RPS-CREA, Research Centre for the Soil-Plant System, Council for Agricultural Research and Economics, Via della Navicella 2-4, 00184 Rome, Italy;4. IVALSA-CNR, Trees and Timber Institute, National Research Council, Via Madonna del Piano 10, 50019, Sesto Fiorentino, Florence, Italy;5. Department of Agri-Food Production and Environmental Sciences, University of Florence, Viale delle Idee 30, 50019, Sesto Fiorentino, Florence, Italy;1. Dept. of Chemistry, Swedish University of Agricultural Sciences (SLU) Biocenter, Box 7015, SE-75007 Uppsala, Sweden;2. Spectral Solutions, Bredablicksvägen 7, SE-18142 Lidingö, Sweden;1. College of Environmental Sciences and Engineering, Qingdao University, Qingdao, 266071, China;2. Department of Earth System Science, University of California, Irvine, CA, 92697, USA;3. State Key Joint Laboratory of Environmental Simulation and Pollution Control (Peking University), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China;4. Division of Environment and Sustainability, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China;1. Department of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Chamran Blvd. Karaj, P.O. Box 31585-4314 Iran;2. Institute of Medicinal Plants Technology and Development, Mola Sadra Rd, Tehran, P.O. Box 14155-1565 Iran;3. Department of Biochemistry and Molecular Biology, Michigan State University, 603 Wilson Rd, Rm 201, East Lansing, MI 48824-1319 USA;1. Institute of Analytical Chemistry of the CAS, v. v. i., Veve?í 97, 60200 Brno, Czech Republic;2. Global Change Research Centre of the CAS, v. v. i., Bělidla 986/4a, 60300 Brno, Czech Republic;3. National Research Council, Institute of Agroenvironmental and Forest Biology, Via Guglielmo Marconi 2, 05010 Porano, Italy |
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| Abstract: | Monoterpenoid emissions from Fagus sylvatica L. trees have been measured at light- and temperature-controlled conditions in a growth chamber, using Proton Transfer Reaction Mass Spectrometry (PTR-MS) and the dynamic branch enclosure technique.De novo synthesized monoterpenoid Standard Emission Factors, obtained by applying the G97 algorithm (Guenther, 1997), varied between 2 and 32 μg gDW?1 h?1 and showed a strong decline in late August and September, probably due to senescence.The response of monoterpenoid emissions to temperature variations at a constant daily light pattern could be well reproduced with a modified version of the MEGAN algorithm (Guenther et al., 2006), with a typical dependence on the average temperature over the past five days.The diurnal emissions at constant temperature showed a typical hysteretic behaviour, which could also be adequately described with the modified MEGAN algorithm by taking into account a dependence on the average light levels experienced by the trees during the past 10–13 h.The impact of the past light and temperature conditions on the monoterpenoid emissions from F. sylvatica L. was found to be much stronger than assumed in previous algorithms.Since our experiments were conducted under low light intensity, future studies should aim at confirming and completing the proposed algorithm updates in sunny conditions and natural environments. |
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