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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Sep 2023
Research article |
| 13 Sep 2023
| 13 Sep 2023
Canopy gaps and associated losses of biomass – combining UAV imagery and field data in a central Amazon forest
Adriana Simonetti
CORRESPONDING AUTHOR
Programa de Pós-graduação em Ciências de Florestas
Tropicais, Instituto Nacional de Pesquisas da Amazônia, Manaus,
69060-062, Brazil
Laboratório de Manejo Florestal, Instituto Nacional de Pesquisas
da Amazônia, Manaus, 69060-062, Brazil
Raquel Fernandes Araujo
Laboratório de Manejo Florestal, Instituto Nacional de Pesquisas
da Amazônia, Manaus, 69060-062, Brazil
Smithsonian Tropical Research Institute, Forest Global Earth Observatory, P.O. Box 0843-03092, Balboa, Ancón, Panama
Carlos Henrique Souza Celes
Laboratório de Manejo Florestal, Instituto Nacional de Pesquisas
da Amazônia, Manaus, 69060-062, Brazil
Smithsonian Tropical Research Institute, Forest Global Earth Observatory, P.O. Box 0843-03092, Balboa, Ancón, Panama
Flávia Ranara da Silva e Silva
Programa de Pós-graduação em Ciências de Florestas
Tropicais, Instituto Nacional de Pesquisas da Amazônia, Manaus,
69060-062, Brazil
Laboratório de Manejo Florestal, Instituto Nacional de Pesquisas
da Amazônia, Manaus, 69060-062, Brazil
Joaquim dos Santos
Laboratório de Manejo Florestal, Instituto Nacional de Pesquisas
da Amazônia, Manaus, 69060-062, Brazil
Niro Higuchi
Laboratório de Manejo Florestal, Instituto Nacional de Pesquisas
da Amazônia, Manaus, 69060-062, Brazil
Susan Trumbore
Biogeochemical Processes Department, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
Daniel Magnabosco Marra
CORRESPONDING AUTHOR
Biogeochemical Processes Department, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
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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.
We combined 2 years of monthly drone-acquired RGB (red–green–blue) imagery with field surveys in...
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