Articles | Volume 19, issue 7
Biogeosciences, 19, 1891–1911, 2022
https://doi.org/10.5194/bg-19-1891-2022
Biogeosciences, 19, 1891–1911, 2022
https://doi.org/10.5194/bg-19-1891-2022
Research article
05 Apr 2022
Research article | 05 Apr 2022

Importance of the forest state in estimating biomass losses from tropical forests: combining dynamic forest models and remote sensing

Ulrike Hiltner 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 bg-2021-195', Anonymous Referee #1, 14 Sep 2021
    • AC1: 'Reply on RC1', Ulrike Hiltner, 02 Nov 2021
  • RC2: 'Review of bg-2021-195', Thomas Pugh, 12 Oct 2021
    • AC2: 'Reply on RC2', Ulrike Hiltner, 02 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (07 Nov 2021) by Ben Bond-Lamberty
AR by Ulrike Hiltner on behalf of the Authors (11 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (15 Dec 2021) by Ben Bond-Lamberty
RR by Anonymous Referee #1 (13 Jan 2022)
ED: Publish subject to minor revisions (review by editor) (22 Jan 2022) by Ben Bond-Lamberty
AR by Ulrike Hiltner on behalf of the Authors (26 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (01 Mar 2022) by Ben Bond-Lamberty
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Short summary
Quantifying biomass loss rates due to stem mortality is important for estimating the role of tropical forests in the global carbon cycle. We analyse the consequences of long-term elevated stem mortality for tropical forest dynamics and biomass loss. Based on simulations, we developed a statistical model to estimate biomass loss rates of forests in different successional states from forest attributes. Assuming a doubling of tree mortality, biomass loss increased from 3.2 % yr-1 to 4.5 % yr-1.
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