Biogeosciences
Biogeosciences
BG
Articles | Volume 20, issue 17
Articles | Volume 20, issue 17
https://doi.org/10.5194/bg-20-3651-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-3651-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 17
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

Viewed

Total article views: 1,748 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,188 489 71 1,748 173 44 55
  • HTML: 1,188
  • PDF: 489
  • XML: 71
  • Total: 1,748
  • Supplement: 173
  • BibTeX: 44
  • EndNote: 55
Views and downloads (calculated since 12 Jan 2023)
Cumulative views and downloads (calculated since 12 Jan 2023)

Viewed (geographical distribution)

Total article views: 1,748 (including HTML, PDF, and XML) Thereof 1,762 with geography defined and -14 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

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.
Read more
Altmetrics
Final-revised paper
Preprint