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Compositional Acclimation Can Lessen Tropical Forest Change in Response to Increasing Lightning Frequency: Insights
David Medvigy1, Evan M Gora2,3, Stephen P Yanoviak3,4
1Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
Global Change Biology
|December 8, 2025
Summary
Increased lightning strikes in tropical forests impact forest biomass. Species-specific lightning tolerance and composition changes help forests acclimate to rising lightning frequency, mitigating biomass loss.
Area of Science:
- Ecology
- Forestry
- Climate Change Science
Background:
- Tropical forests face increasing lightning frequency, a major driver of tree mortality.
- The ecological implications of escalating lightning events on forest dynamics remain largely uncertain.
Purpose of the Study:
- To develop and implement a species- and spatially explicit model of lightning impacts on tropical forest dynamics.
- To assess the sensitivity of forest aboveground biomass (AGB) and composition to changes in lightning frequency.
Main Methods:
- A mechanistic forest dynamics model was enhanced with a species- and spatially explicit lightning module.
- The model was calibrated and validated using observational data from a Panamanian tropical forest.
- Simulations were run to evaluate forest responses under varying lightning frequencies.
Main Results:
- The lightning-enabled model accurately simulated observed aboveground biomass (AGB), carbon flux, and stem densities.
- Increasing lightning frequency reduced overall AGB, but this effect was moderated by species-specific lightning tolerances.
- Forest composition shifted, with lightning-tolerant species increasing in AGB, and the impact of lightning on AGB saturated at high frequencies.
Conclusions:
- Empirically informed lightning modeling captures contemporary forest impacts.
- Changes in lightning frequency will alter forest AGB, species composition, and structure.
- Tropical forests can partially acclimate to increased lightning through compositional shifts, highlighting the need for lightning in global ecosystem models.
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