ArticleGlobal change biology2025
Intensifying Fire Season Aridity Portends Ongoing Expansion of Severe Wildfire in Western US Forests.
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 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Recent high-severity wildfires in a dry-conifer landscape are unprecedented over five centuries and foretell future forest loss.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Faster, bigger, more severe: Extreme wildfire spread sets the stage for forest ecosystem change in western and boreal North America.Science advances · 2026Article
- Fire lines adjacent to aspen are unlikely to hold during extreme burning conditions in southern Rocky Mountain forests.Ecological applications : a publication of the Ecological Society of America · 2026Article
- Intensifying Fire Season Aridity Portends Ongoing Expansion of Severe Wildfire in Western US Forests.Global change biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Area burned by wildfire has increased in western US forests and elsewhere over recent decades coincident with warmer and drier fire seasons. However, high-severity fire-fire that kills all or most trees-is arguably a more important metric of fire activity given its destabilizing influence on forest ecosystems and direct and indirect impacts to human communities. Here, we quantified area burned and area burned severely in western US forests from 1985 to 2022 and evaluated trends through time. We also assessed key relationships between area burned, extent and proportion burned severely, and fire season climate aridity. Lastly, using the strong relationships between fire season aridity and both area burned and area burned severely, we predicted future fire activity under ongoing warming. While annual area burned increased 10-fold over our study period, area burned severely increased 15-fold. Disproportionate increases in severe fire occurred across a wide range of forest types from 1985 to 2022. Importantly, we found that the proportion of area burned severely increased with fire extent at the scale of individual fires and total annual area burned. The relationships between fire season aridity and fire were strong, and our models predicted further increases in fire activity, leading to 2.9- and 4-fold increases in area burned and area burned severely, respectively, under mid-21st century climate. Without a substantial expansion of management activities that effectively reduce fire severity (e.g., thinning of understory and fire-intolerant trees combined with prescribed fire), wildfires will increasingly drive forest loss and degrade ecosystem services including carbon storage, biodiversity conservation, and water yield, with major impacts to human communities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.