Articles | Volume 21, issue 23
Atmos. Chem. Phys., 21, 17389–17431, 2021
https://doi.org/10.5194/acp-21-17389-2021
Atmos. Chem. Phys., 21, 17389–17431, 2021
https://doi.org/10.5194/acp-21-17389-2021

Research article 01 Dec 2021

Research article | 01 Dec 2021

Modelling the influence of biotic plant stress on atmospheric aerosol particle processes throughout a growing season

Ditte Taipale et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-141', Anonymous Referee #1, 05 May 2021
    • AC1: 'Reply on RC1', Ditte Taipale, 11 Jun 2021
  • RC2: 'Comment on acp-2021-141', Anonymous Referee #2, 30 May 2021
    • AC2: 'Reply on RC2', Ditte Taipale, 11 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ditte Taipale on behalf of the Authors (07 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (03 Aug 2021) by Susannah Burrows
RR by Anonymous Referee #2 (11 Aug 2021)
RR by Alex B. Guenther (12 Aug 2021)
ED: Publish subject to minor revisions (review by editor) (17 Sep 2021) by Susannah Burrows
AR by Ditte Taipale on behalf of the Authors (03 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (30 Oct 2021) by Susannah Burrows
AR by Ditte Taipale on behalf of the Authors (01 Nov 2021)  Author's response    Manuscript
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Short summary
Larval feeding and fungal infections of leaves can greatly change the emission of volatile compounds from plants and thereby influence aerosol processes in the air. We developed a model that considers the dynamics of larvae and fungi and the dependency of the emission on the severity of stress. We show that the infections can be highly atmospherically relevant during long periods of time and at times more important to consider than the parameters that are currently used in emission models.
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