Evidence for strong bottom-up controls on fire severity during extreme events

Abstract Background Record fire years in recent decades have challenged post-fire forest recovery in the western United States and beyond. To improve management responses, it is critical that we understand the conditions under which management can mitigate severe wildfire impacts, and when it cannot. Here, we evaluated the influence of top-down and bottom-up fire severity forcings on 17 wildfires occurring during two consecutive record-setting years in the eastern Cascade Mountains of Washington State. Despite much of the area having been burned after an extended period of fire exclusion, nearly one-third of the forested area burned at low severity. Results Using random forest modeling and Shapley local importance measures, we found that weather and fuels were both dominant drivers of fire severity, and past fuel treatments were successful at reducing severity—even during extreme fire progression days. First-entry fires were more typically driven by top-down climate and weather variables, while for reburns (i.e., overlapping fire footprints within the period of record), severity was largely mitigated by reduced fuels and a positive influence of topography (e.g., burning downslope). Likewise, reburns overall exhibited lower fire severity than first entry fires, suggesting strong negative feedbacks associated with past fire footprints. The normalized difference moisture index (NDMI)—an indicator of live fuel loading and moisture levels—was a leading predictor of fire severity for both first-entry fires and reburns. NDMI values < 0 (i.e., low biomass) were associated with reduced fire severity, while values > 0.25 (i.e., high biomass) were associated with increased severity. Forest management was effective across a variety of conditions, especially under low to moderate wind speeds (< 17 m·s −1 ), and where canopy base heights were ≥ 1.3 m. Conclusions Our findings support previous work demonstrating strong top-down weather and climate controls on fire severity along with bottom-up spatial controls of fuels and topography on patterns of fire severity. Local importance measures refined our understanding of the conditions under which bottom-up factors successfully mitigated fire severity. Our results indicate a clear role for fuels and fire management—including wildland fire use—to restore characteristic composition and structure to the landscape and to moderate fire severity.

Authors

Institutions

Publication Details

Journal
Fire Ecology
Published
2025-05-01
DOI
https://doi.org/10.1186/s42408-025-00368-1
Citations
7
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
7.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evidence for strong bottom-up controls on fire severity during extreme events

Gina R. Cova, Paul F. Hessburg, Vivian Griffey, Tucker J. Furniss et al.
7 citations
Fire Ecology
Fire effects on ecosystems
7.74
article

Evidence for strong bottom-up controls on fire severity during extreme events

Gina R. Cova, Paul F. Hessburg, Vivian Griffey, Tucker J. Furniss, R. Brion Salter, Nicholas A. Povak, Susan J. Prichard, Robert W. Gray
article en
7 citations

Abstract

Abstract Background Record fire years in recent decades have challenged post-fire forest recovery in the western United States and beyond. To improve management responses, it is critical that we understand the conditions under which management can mitigate severe wildfire impacts, and when it cannot. Here, we evaluated the influence of top-down and bottom-up fire severity forcings on 17 wildfires occurring during two consecutive record-setting years in the eastern Cascade Mountains of Washington State. Despite much of the area having been burned after an extended period of fire exclusion, nearly one-third of the forested area burned at low severity. Results Using random forest modeling and Shapley local importance measures, we found that weather and fuels were both dominant drivers of fire severity, and past fuel treatments were successful at reducing severity—even during extreme fire progression days. First-entry fires were more typically driven by top-down climate and weather variables, while for reburns (i.e., overlapping fire footprints within the period of record), severity was largely mitigated by reduced fuels and a positive influence of topography (e.g., burning downslope). Likewise, reburns overall exhibited lower fire severity than first entry fires, suggesting strong negative feedbacks associated with past fire footprints. The normalized difference moisture index (NDMI)—an indicator of live fuel loading and moisture levels—was a leading predictor of fire severity for both first-entry fires and reburns. NDMI values < 0 (i.e., low biomass) were associated with reduced fire severity, while values > 0.25 (i.e., high biomass) were associated with increased severity. Forest management was effective across a variety of conditions, especially under low to moderate wind speeds (< 17 m·s −1 ), and where canopy base heights were ≥ 1.3 m. Conclusions Our findings support previous work demonstrating strong top-down weather and climate controls on fire severity along with bottom-up spatial controls of fuels and topography on patterns of fire severity. Local importance measures refined our understanding of the conditions under which bottom-up factors successfully mitigated fire severity. Our results indicate a clear role for fuels and fire management—including wildland fire use—to restore characteristic composition and structure to the landscape and to moderate fire severity.

Fire EcologyVol. 21(1)
University of Wyoming (US), Conservation International (US), University of Washington (US), Pacific Northwest Research Station (US), Pacific Southwest Research Station (US), Native Mental Health Association of Canada (CA)
Joint Fire Science Program
Openalex Percentile: Top 2%
Fire effects on ecosystems
7.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.