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

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<sup>2</sup> = 0.62, RMSE = 221.1 km<sup>2</sup>). By the end of the twenty-first century, models forced with climate datasets from representative concentration pathways (RCPs) 4.5, 6.0, and 8.5 emission scenarios project a statewide doubling of burned peatlands (increasing 61-121%), with regional increases ranging from 25-165% in polar, 61-95% in boreal, and 102-106% in maritime ecoregions. These projections indicate that wildfires will progressively encroach further into organic-rich moist and wet peaty soils, potentially amplifying soil carbon release across Alaska.

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Publication Details

Journal
Scientific Reports
Published
2025-10-14
DOI
https://doi.org/10.1038/s41598-025-19682-4
Primary Topic
Peatlands and Wetlands Ecology
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Duncan Anderson, Wenqu Chen, Roger Michaelides, Aiden I. G. Schore et al.
Scientific Reports
Peatlands and Wetlands Ecology
article

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

Duncan Anderson, Wenqu Chen, Roger Michaelides, Aiden I. G. Schore, Mark J. Lara, Sarah Scott, Caroline Ludden, Emma Hall, Umakant Mishra
article en

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<sup>2</sup> = 0.62, RMSE = 221.1 km<sup>2</sup>). By the end of the twenty-first century, models forced with climate datasets from representative concentration pathways (RCPs) 4.5, 6.0, and 8.5 emission scenarios project a statewide doubling of burned peatlands (increasing 61-121%), with regional increases ranging from 25-165% in polar, 61-95% in boreal, and 102-106% in maritime ecoregions. These projections indicate that wildfires will progressively encroach further into organic-rich moist and wet peaty soils, potentially amplifying soil carbon release across Alaska.

Scientific ReportsVol. 15(1)
University of Illinois Urbana-Champaign (US), Sandia National Laboratories California (US), Washington University in St. Louis (US), University of Illinois System (US), Carnegie Department of Plant Biology (US)
National Science Foundation, U.S. Department of Energy, Directorate for Engineering, National Nuclear Security Administration, Office of Polar Programs, Sandia National Laboratories
Openalex Percentile: Top 72%
Peatlands and Wetlands Ecology
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