Evidence map›Paper›PMID 38483184›Full record

ArticleEnvironmental science & technology2024

California Case Study of Wildfires and Prescribed Burns: PM

Laura Kiely, Soroush E Neyestani, Samiha Binte-Shahid, Robert A York, William C Porter, Kelley C Barsanti

Abstract read
In one paragraph

Article in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Prescribed fire is unlikely to reduce net PMProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Carbon costs of different pathways for reducing fire hazard in the Sierra Nevada.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  6. Review
  7. Article
  8. Informing public health protection under new patterns of wildfire smoke.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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

6 authors.

Laura KielyChemical and Environmental Engineering, University of California Riverside, Riverside, California 92521, United States.ORCID 0000-0002-8150-6104
Soroush E NeyestaniDepartment of Environmental Sciences, University of California Riverside, Riverside, California 92521, United States.ORCID 0000-0002-2083-2440
Samiha Binte-ShahidChemical and Environmental Engineering, University of California Riverside, Riverside, California 92521, United States.
Robert A YorkDepartment of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California 94720, United States.
William C PorterDepartment of Environmental Sciences, University of California Riverside, Riverside, California 92521, United States.ORCID 0000-0002-3121-8323
Kelley C BarsantiChemical and Environmental Engineering, University of California Riverside, Riverside, California 92521, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wildfires are a significant threat to human health, in part through degraded air quality. Prescribed burning can reduce wildfire severity but can also lead to an increase in air pollution. The complexities of fires and atmospheric processes lead to uncertainties when predicting the air quality impacts of fire and make it difficult to fully assess the costs and benefits of an expansion of prescribed fire. By modeling differences in emissions, surface conditions, and meteorology between wildfire and prescribed burns, we present a novel comparison of the air quality impacts of these fire types under specific scenarios. One wildfire and two prescribed burn scenarios were considered, with one prescribed burn scenario optimized for potential smoke exposure. We found that PM

Indexed as

Air PollutantsAir PollutionParticulate MatterWildfiresCaliforniaFiresHumansSmokeAir PollutantsParticulate MatterSmokeair qualityCMAQPM2.5prescribed burnssmokewildfires

Identifiers

PMID38483184
PMCPMC10976878

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.