Articles | Volume 17, issue 12
Atmos. Chem. Phys., 17, 7555–7566, 2017
https://doi.org/10.5194/acp-17-7555-2017

Special issue: Biosphere-atmosphere exchange or organic compounds: impact...

Atmos. Chem. Phys., 17, 7555–7566, 2017
https://doi.org/10.5194/acp-17-7555-2017

Research article 22 Jun 2017

Research article | 22 Jun 2017

Effect of mid-term drought on Quercus pubescens BVOCs' emission seasonality and their dependency on light and/or temperature

Amélie Saunier et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Amélie Saunier on behalf of the Authors (19 Dec 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (10 Jan 2017) by Janne Rinne
ED: Reconsider after minor revisions (Editor review) (13 Mar 2017) by Janne Rinne
AR by Amélie Saunier on behalf of the Authors (21 Mar 2017)  Author's response    Manuscript
ED: Reconsider after minor revisions (Editor review) (07 Apr 2017) by Janne Rinne
AR by Amélie Saunier on behalf of the Authors (11 Apr 2017)  Author's response    Manuscript
ED: Reconsider after minor revisions (Editor review) (12 Apr 2017) by Janne Rinne
AR by Amélie Saunier on behalf of the Authors (18 Apr 2017)  Author's response    Manuscript
ED: Reconsider after minor revisions (Editor review) (08 May 2017) by Janne Rinne
AR by Amélie Saunier on behalf of the Authors (11 May 2017)  Author's response    Manuscript
ED: Publish subject to technical corrections (22 May 2017) by Janne Rinne
AR by Amélie Saunier on behalf of the Authors (22 May 2017)  Author's response    Manuscript
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Short summary
We investigated the BVOC emissions variations of Quercus Pubescens, under natural and amplified drought, in situ, in order to determine the dependency to light and/or temperature of these emissions. Our results showed that all BVOC emissions were reduced with amplified drought. Moreover, we highlighted two dependences: (i) light and temperature and (ii) light and temperature during the day and to temperature during the night. These results can be useful to enhance emission models.
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