Articles | Volume 20, issue 17
https://doi.org/10.5194/bg-20-3651-2023
https://doi.org/10.5194/bg-20-3651-2023
Research article
 | 
13 Sep 2023
Research article |  | 13 Sep 2023

Canopy gaps and associated losses of biomass – combining UAV imagery and field data in a central Amazon forest

Adriana Simonetti, Raquel Fernandes Araujo, Carlos Henrique Souza Celes, Flávia Ranara da Silva e Silva, Joaquim dos Santos, Niro Higuchi, Susan Trumbore, and Daniel Magnabosco Marra

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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-2022-251', Anonymous Referee #1, 30 Jan 2023
    • AC1: 'Reply on RC1', Adriana Simonetti Lopes Peixoto, 26 Apr 2023
  • RC2: 'Comment on bg-2022-251', Anonymous Referee #2, 09 Mar 2023
    • AC2: 'Reply on RC2', Adriana Simonetti Lopes Peixoto, 26 Apr 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (03 May 2023) by Martin De Kauwe
AR by Adriana Simonetti Lopes Peixoto on behalf of the Authors (07 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 Jun 2023) by Martin De Kauwe
RR by Ricardo Dal Agnol da Silva (21 Jun 2023)
RR by Anonymous Referee #1 (27 Jun 2023)
ED: Publish subject to minor revisions (review by editor) (30 Jun 2023) by Martin De Kauwe
AR by Adriana Simonetti Lopes Peixoto on behalf of the Authors (20 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Jul 2023) by Martin De Kauwe
AR by Adriana Simonetti Lopes Peixoto on behalf of the Authors (30 Jul 2023)
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Short summary
We combined 2 years of monthly drone-acquired RGB (red–green–blue) imagery with field surveys in a central Amazon forest. Our results indicate that small gaps associated with branch fall were the most frequent. Biomass losses were partially controlled by gap area, with branch fall and snapping contributing the least and greatest relative values, respectively. Our study highlights the potential of drone images for monitoring canopy dynamics in dense tropical forests.
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