Evidence map›Paper›PMID 41087435›Full record

ArticleScientific reports2025

Peatland fires in Alaska will double by the end of the century.

Mark Jason Lara, Roger Michaelides, Duncan Anderson, Wenqu Chen, Emma Catherine Hall, Caroline Ludden, Aiden Isaac Gittler Schore, Umakant Mishra, Sarah Nicole Scott

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Mark Jason LaraDepartment of Plant Biology, University of Illinois, Urbana, IL, USA. mjlara@illinois.edu.
Roger MichaelidesDepartment of Geography, Washington University at Saint Louis, Saint Louis, MO, USA.
Duncan AndersonDepartment of Geography, University of Illinois, Urbana, IL, USA.
Wenqu ChenDepartment of Geography, University of Illinois, Urbana, IL, USA.
Emma Catherine HallDepartment of Geography, University of Illinois, Urbana, IL, USA.
Caroline LuddenDepartment of Plant Biology, University of Illinois, Urbana, IL, USA.
Aiden Isaac Gittler SchoreDepartment of Plant Biology, University of Illinois, Urbana, IL, USA.
Umakant MishraComputational Bio & Biophysics, Sandia National Laboratories, Livermore, CA, USA.
Sarah Nicole ScottThermal/Fluids Science and Engineering, Sandia National Laboratories, Livermore, CA, USA.

Funding

Directorate for Engineering 1928048Office of Polar Programs 2311073U.S. Department of Energy DE-NA0003525
6 · The paper itself

Abstract

During recent summers, warm and dry conditions have increased the occurrence of wildfires and potentially peat-fires across Alaska. Limitations in resolving the fine-scale distribution of peatlands and climate observations have constrained our ability to accurately predict peat-fire dynamics. Using a new high-resolution peatland map of Alaska, we evaluated the climate and environmental controls of past and future peat-fire activity. Ensemble machine learning models identified reduced soil moisture, higher temperatures, and evapotranspiration as key predictors of annual total burned peatland area (tenfold CV R

Identifiers

PMID41087435
PMCPMC12521555

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Registered trials

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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.