Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-905-2020
https://doi.org/10.5194/gmd-13-905-2020
Model description paper
 | 
05 Mar 2020
Model description paper |  | 05 Mar 2020

HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 1: Carbon fluxes and tree dimensional growth

Mathieu Jonard, Frédéric André, François de Coligny, Louis de Wergifosse, Nicolas Beudez, Hendrik Davi, Gauthier Ligot, Quentin Ponette, and Caroline Vincke

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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 Mathieu Jonard on behalf of the Authors (09 Sep 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (11 Sep 2019) by Min-Hui Lo
RR by Anonymous Referee #4 (24 Sep 2019)
RR by Anonymous Referee #3 (29 Sep 2019)
RR by Anonymous Referee #1 (14 Oct 2019)
ED: Reconsider after major revisions (14 Oct 2019) by Min-Hui Lo
AR by Mathieu Jonard on behalf of the Authors (24 Nov 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (26 Nov 2019) by Min-Hui Lo
RR by Anonymous Referee #4 (09 Dec 2019)
ED: Reconsider after major revisions (17 Dec 2019) by Min-Hui Lo
AR by Mathieu Jonard on behalf of the Authors (20 Jan 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (21 Jan 2020) by Min-Hui Lo
RR by Anonymous Referee #4 (23 Jan 2020)
ED: Publish as is (27 Jan 2020) by Min-Hui Lo
AR by Mathieu Jonard on behalf of the Authors (30 Jan 2020)  Manuscript 
Short summary
To explore the forest response to new forestry practices under a changing environment, one needs models combining a process-based approach with a detailed spatial representation, which is very rare. We decided to develop our own model according to a spatially explicit approach describing individual tree growth based on resource sharing (light, water and nutrients). A first evaluation showed that HETEROFOR predicts well individual radial growth and is able to reproduce size–growth relationships.