Articles | Volume 14, issue 14
Biogeosciences, 14, 3525–3547, 2017
https://doi.org/10.5194/bg-14-3525-2017
Biogeosciences, 14, 3525–3547, 2017
https://doi.org/10.5194/bg-14-3525-2017

Research article 26 Jul 2017

Research article | 26 Jul 2017

Leveraging 35 years of Pinus taeda research in the southeastern US to constrain forest carbon cycle predictions: regional data assimilation using ecosystem experiments

R. Quinn Thomas et al.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (13 May 2017) by Sönke Zaehle
AR by Quinn Thomas on behalf of the Authors (22 May 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (05 Jun 2017) by Sönke Zaehle
RR by Anonymous Referee #2 (19 Jun 2017)
RR by Anthony Walker (19 Jun 2017)
ED: Publish subject to technical corrections (19 Jun 2017) by Sönke Zaehle
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Short summary
To improve predictions of future forest productivity, we introduce an analytical approach that uses data from numerous research experiments that have occurred across the southeastern US to calibrate a mathematical forest model and estimate uncertainty in predictions. As a result, predictions using the model are consistent with a rich history of forest research in a region that supplies a large fraction of wood products to the world.
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