Articles | Volume 16, issue 2
https://doi.org/10.5194/bg-16-241-2019
https://doi.org/10.5194/bg-16-241-2019
Research article
 | 
22 Jan 2019
Research article |  | 22 Jan 2019

Simulating growth-based harvest adaptive to future climate change

Rasoul Yousefpour, Julia E. M. S. Nabel, and Julia Pongratz

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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
ED: Reconsider after major revisions (19 May 2018) by Anja Rammig
AR by RASOUL YOUSEFPOUR on behalf of the Authors (19 May 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (11 Jun 2018) by Anja Rammig
RR by Anonymous Referee #1 (12 Jun 2018)
ED: Reconsider after major revisions (24 Jun 2018) by Anja Rammig
AR by RASOUL YOUSEFPOUR on behalf of the Authors (29 Aug 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (07 Sep 2018) by Anja Rammig
RR by Anonymous Referee #3 (10 Oct 2018)
RR by Anonymous Referee #2 (30 Oct 2018)
ED: Reconsider after major revisions (06 Nov 2018) by Anja Rammig
AR by RASOUL YOUSEFPOUR on behalf of the Authors (16 Nov 2018)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (11 Dec 2018) by Anja Rammig
AR by RASOUL YOUSEFPOUR on behalf of the Authors (19 Dec 2018)
ED: Publish as is (22 Dec 2018) by Anja Rammig
AR by RASOUL YOUSEFPOUR on behalf of the Authors (30 Dec 2018)  Author's response   Manuscript 
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Short summary
Global forest resources are accounted for to establish their potential to sink carbon in woody biomass. Climate prediction models realize the effects of future global forest utilization rates, defined by population demand and its evolution over time. However, forest management approaches consider the supply side to realize a sustainable forest carbon stock and adapt the harvest rates to novel climate conditions. This study simulates such an adaptive sustained yield approach.
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