Evidence map›Paper›PMID 40552430›Full record

ArticleGlobal change biology2025

Simulating Lightning-Induced Tree Mortality in the Dynamic Global Vegetation Model LPJ-GUESS.

Andreas Krause, Konstantin Gregor, Benjamin F Meyer, Anja Rammig

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 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

4 authors.

Andreas KrauseTechnical University of Munich, TUM School of Life Sciences, Freising, Germany.ORCID 0000-0003-3345-2989
Konstantin GregorTechnical University of Munich, TUM School of Life Sciences, Freising, Germany.ORCID 0000-0003-3513-3607
Benjamin F MeyerTechnical University of Munich, TUM School of Life Sciences, Freising, Germany.ORCID 0000-0002-6193-2923
Anja RammigTechnical University of Munich, TUM School of Life Sciences, Freising, Germany.

Funding

Deutsche Forschungsgemeinschaft 536753546
6 · The paper itself

Abstract

Lightning is an important yet often overlooked disturbance agent in forest ecosystems. Recent research conducted in Panama suggests that lightning is a major cause of large tree mortality in tropical forests. However, lightning-induced tree mortality is not included in state-of-the-art ecosystem models. Here, we implement a general lightning mortality module in the dynamic global vegetation model LPJ-GUESS to explore the impacts of lightning on forests at local and global scales. Lightning mortality was implemented stochastically in dependency of local cloud-to-ground lightning density and simulated forest structure based on findings from the Panamanian forest. For this site, LPJ-GUESS adequately simulates the average number of trees of different size classes killed per lightning strike, with a total of 2.9 simulated versus 3.2 observed. The model also captures the estimated contribution of lightning to the overall mortality of large trees (21% simulated vs. 24% observed). Applying the new model version to other tropical and temperate forests for which observation-based estimates on lightning mortality exist, LPJ-GUESS reproduces estimated impacts in some forests but simulates substantially lower impacts for others. Global simulations driven by two alternative products of cloud-to-ground lightning densities suggest that lightning kills 301-340 million trees annually, thereby causing 0.21-0.30 GtC yr.

Indexed as

ForestsLightningModels, TheoreticalTreesComputer SimulationPanamaatmosphere‐vegetation interactionscarbon cycledisturbanceecosystem modellingflashforest dynamicslightning striketree death

Identifiers

PMID40552430
PMCPMC12186139

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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.