Abstract
Tree mortality is a major control over tropical forest carbon stocks globally but the strength of associations between abiotic drivers and tree mortality within forested landscapes is poorly understood. Here, we used repeat drone photogrammetry across 1500 ha of forest in Central Panama over 5 years to quantify spatial variation in canopy disturbance rates and its predictors. We identified 11,153 canopy disturbances greater than 25 m2 in area, including treefalls, large branchfalls and standing dead trees, affecting 1.9% of area per year. Soil type, forest age and topography explained up to 46%–67% of disturbance rate variation at spatial grains of 58–64 ha, with higher rates in older forests, steeper slopes and local depressions. Furthermore, disturbance rates predicted the proportion of low canopy area across the landscape, and mean canopy height in old growth forests. Thus abiotic factors drive variation in disturbance rates and thereby forest structure at landscape scales.
Original language | English |
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Pages (from-to) | 1126-1138 |
Number of pages | 13 |
Journal | Ecology Letters |
Volume | 25 |
Issue number | 5 |
DOIs | |
State | Published - May 2022 |
Externally published | Yes |
Funding
KCC was supported as part of the Next Generation Ecosystem Experiments‐Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research; KCC was also supported by the Smithsonian Institution Fellowship Program; MD was supported by the Carbon Mitigation Initiative at Princeton University; data collection was supported by a Smithsonian Institution Competitive Grants Program for Science award to HCM. The authors thank Jonathan Dandois and Ryan Nolin for early contributions to the BCI drone project, Sam Grubinger and Milton Solano for advice on photogrammetry processing; Pablo Ramos and Paulino Villarreal for assistance collecting drone images; and Raquel Araujo, Carlos Celes, Ricardo Dalagnol, Evan Gora and Michael Keller for feedback on earlier versions of this work.
Keywords
- canopy gaps
- disturbance
- drones
- forest carbon
- forest dynamics
- forest structure
- photogrammetry
- tropical forest