Articles | Volume 18, issue 24
Biogeosciences, 18, 6517–6531, 2021
https://doi.org/10.5194/bg-18-6517-2021
Biogeosciences, 18, 6517–6531, 2021
https://doi.org/10.5194/bg-18-6517-2021

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 et al.

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

Download
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.
Altmetrics
Final-revised paper
Preprint