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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Cited articles

Aleixo, I., Norris, D., Hemerik, L., Barbosa, A., Prata, E., Costa, F., and Poorter, L.: Amazonian rainforest tree mortality driven by climate and functional traits, Nat. Clim. Change, 9, 384–388, https://doi.org/10.1038/s41558-019-0458-0, 2019. 
Allen, C. D., Breshears, D. D., and McDowell, N. G.: On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene, Ecosphere, 6, 1–55, https://doi.org/10.1890/ES15-00203.1, 2015. 
Amaral, M., Lima, A., Higuchi, F., dos Santos, J., and Higuchi, N.: Dynamics of Tropical Forest Twenty-Five Years after Experimental Logging in Central Amazon Mature Forest, Forests, 10, 89, https://doi.org/10.3390/f10020089, 2019. 
Araujo, R. F., Nelson, B. W., Celes, C. H. S., and Chambers, J. Q.: Regional distribution of large blowdown patches across Amazonia in 2005 caused by a single convective squall line, Geophys. Res. Lett., 44, 7793–7798, https://doi.org/10.1002/2017GL073564, 2017. 
Araujo, R. F., Chambers, J. Q., Celes, C. H. S., Muller-Landau, H. C., dos Santos, A. P. F., Emmert, F., Ribeiro, G. H. P. M., Gimenez, B. O., Lima, A. J. N., Campos, M. A. A., and Higuchi, N.: Integrating high resolution drone imagery and forest inventory to distinguish canopy and understory trees and quantify their contributions to forest structure and dynamics, PLoS One, 15, 1–16, https://doi.org/10.1371/journal.pone.0243079, 2020. 
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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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