Reference : History effect of light and temperature on monoterpenoid emissions from Fagus sylvatica L.
Scientific journals : Article
Life sciences : Environmental sciences & ecology
http://hdl.handle.net/2268/76436
History effect of light and temperature on monoterpenoid emissions from Fagus sylvatica L.
English
Demarcke, M. [> > > >]
Schoon, N. [> > > >]
Van Langenhove, H. [> > > >]
Dewulf, J. [> > > >]
Joo, E. [> > > >]
Steppe, K. [> > > >]
Simpraga, M. [> > > >]
Heinesch, Bernard mailto [Université de Liège - ULg > Sciences et technologie de l'environnement > Physique des bio-systèmes >]
Aubinet, Marc mailto [Université de Liège - ULg > Sciences et technologie de l'environnement > Physique des bio-systèmes >]
Amelynck, C. [> > > >]
Muller, Jean François [ > > ]
2010
Atmospheric Environment
44
27
3261-3268
Yes
International
1352-2310, Unique-ID = ISI:000280938400005
[en] 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 mu g g(-1)DW 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 E 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. (C) 2010 Elsevier Ltd. All rights reserved.
http://hdl.handle.net/2268/76436

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