Evidence map›Paper›PMID 41355757›Full record

ArticleGlobal change biology2025

Compositional Acclimation Can Lessen Tropical Forest Change in Response to Increasing Lightning Frequency: Insights From Simulation Modeling.

David Medvigy, Evan M Gora, Stephen P Yanoviak

Abstract read
In one paragraph

Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

David MedvigyDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.ORCID 0000-0002-3076-3071
Evan M GoraCary Institute of Ecosystem Studies, Millbrook, New York, USA.ORCID 0000-0002-0537-5835
Stephen P YanoviakSmithsonian Tropical Research Institute, Balboa, Panama.ORCID 0000-0001-6425-1413

Funding

Division of Environmental Biology 1354060Division of Environmental Biology 1655346Division of Environmental Biology 2213245Division of Environmental Biology 2213246Division of Environmental Biology 2241507National Geographic Society 9703-15National Science Foundation Graduate Research Fellowship Program 2015188266Smithsonian Tropical Research Institute
6 · The paper itself

Abstract

Lightning frequency in tropical forests has been increasing for decades and lightning is a major agent of forest biomass mortality, but the implications of increased lightning frequency are unclear. Here, we provide a species- and spatially explicit implementation of lightning in a mechanistic forest dynamics model. We evaluated the model's ability to reproduce current-day observations in a Panamanian tropical forest, and the sensitivity of model outputs to plausible changes in lightning frequency. The lightning-enabled model simulated aboveground biomass (AGB), carbon flux, and stem densities that were consistent with observations. As expected, AGB declined with increasing lightning frequency. However, the magnitude of AGB decline was greatly reduced when trees were assigned empirically derived, species-specific lightning tolerances. Changes in species composition weakened the sensitivity of AGB to increasing lightning: the AGB of a small number of large-statured, lightning-tolerant species increased with increasing lightning frequency. In addition, the effect of lightning on AGB tended to saturate at high lightning frequencies because of the combined effect of changes in size structure and composition. Specifically, the number of large, lightning-susceptible trees was relatively small at high lightning frequencies. Overall, this study shows that an empirically informed representation of lightning captures the contemporary effects of lightning on forests, indicates that changes in lightning frequency will change forest AGB, species composition, and size structure, and shows that forests can partially acclimate to higher lightning frequency through changes in composition. Thus, more widespread inclusion of the lightning into global ecosystem models would be an important step toward improving simulations of forest responses to global change.

Indexed as

AcclimatizationForestsLightningModels, BiologicalTreesBiomassComputer SimulationModels, TheoreticalPanamaTropical Climateclimate changecompositional acclimationforest dynamics modellightningmortalitytropical forest dynamics

Identifiers

PMID41355757
PMCPMC12683616

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.