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https://doi.org/10.31223/x52m9...
Article . 2025 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
Science
Article . 2026 . Peer-reviewed
Data sources: Crossref
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The air pollution benefits of low-severity fire

Authors: Iván Higuera-Mendieta; Marshall Burke;

The air pollution benefits of low-severity fire

Abstract

Wildfires are reversing decades of air quality improvements across much of the US. Expanded use of prescribed fire is a primary proposed solution, but air quality trade-offs—more initial smoke for less smoke later—remain poorly quantified. Using two decades of satellite-derived measurements of fire severity and smoke particulate matter across California, we assessed the causal effect of low-severity wildfire, a proxy for prescribed burning, on subsequent wildfire activity and air quality. We found that low-severity fire reduced the probability of very-high-severity wildfire by 92%, with reductions lasting a decade and extending 5 kilometers from treated locations. Reduced future smoke far outweighed the smoke produced during treatment, with benefit-cost ratios exceeding five after a decade. Sustained treatment of 500,000 acres annually would reduce cumulative smoke fine particulate matter (PM 2.5 ) by about 10% after a decade.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Top 10%
Top 10%
Average
hybrid