Strong temporal variation in treefall and branchfall rates in a tropical forest is related to extreme rainfall: results from 5 years of monthly drone data for a 50&thinsp;ha plot

Araujo, Raquel Fernandes; Grubinger, Samuel; Celes, Carlos Henrique Souza; Negrón-Juárez, Robinson I.; Garcia, Milton; Dandois, Jonathan P.; Muller-Landau, Helene C.

doi:https://doi.org/10.5194/bg-18-6517-2021

Articles | Volume 18, issue 24

https://doi.org/10.5194/bg-18-6517-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-18-6517-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 24

Research article

|

20 Dec 2021

Research article |

| 20 Dec 2021

Strong temporal variation in treefall and branchfall rates in a tropical forest is related to extreme rainfall: results from 5 years of monthly drone data for a 50 ha plot

Raquel Fernandes Araujo, Samuel Grubinger, Carlos Henrique Souza Celes, Robinson I. Negrón-Juárez, Milton Garcia, Jonathan P. Dandois, and Helene C. Muller-Landau

Supplement

https://doi.org/10.5194/bg-18-6517-2021-supplement

Data sets

Collection of datasets: Strong temporal variation in treefall and branchfall rates in a tropical forest is related to extreme rainfall: results from 5 years of monthly drone data for a 50-ha plot Raquel F. Araujo, Samuel Grubinger, Milton Garcia, Jonathan P. Dandois, and Helene C. Muller-Landau https://doi.org/10.25573/data.c.5389043.v1

Model code and software

Analysis codes and datasets: Strong temporal variation in treefall and branchfall rates in a tropical forest is related to extreme rainfall: results from five years of monthly drone data for a 50-ha plot R. F. Araujo, C. H. S. Celes, R. I. Negrón-Juárez, and H. C. Muller-Landau https://doi.org/10.5281/zenodo.5786740

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Short summary

Our study contributed to improving the understanding of temporal variation and climate correlates of canopy disturbances mainly caused by treefalls and branchfalls. We used a unique dataset of 5 years of approximately monthly drone-acquired RGB (red–green–blue) imagery for 50 ha of mature tropical forest on Barro Colorado Island, Panama. We found that canopy disturbance rates were highly temporally variable, were higher in the wet season, and were related to extreme rainfall events.