Evidence map›Paper›PMID 39840224›Full record

ArticlePNAS nexus2025

Wildland fire entrainment: The missing link between wildland fire and its environment.

Rodman R Linn, John Kevin Hiers, Joseph J O'Brien, Kara Yedinak, Chad Hoffman, Jesse Canfield, David Robinson, Scott Goodrick

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Rodman R LinnLos Alamos National Laboratory, P.O. Box 1663, MS T003, Los Alamos, NM 87545, USA.ORCID https://orcid.org/0000-0002-5746-4880
John Kevin HiersNatural Resources Institute, Texas A&M University, 1747 Pennsylvania Ave, NW Suite 400, Washington, DC 20006, USA.ORCID https://orcid.org/0000-0002-6813-8941
Joseph J O'BrienSouthern Research Station, US Forest Service, 320 Green Street, Athens, GA 30602, USA.ORCID https://orcid.org/0000-0003-3446-6063
Kara YedinakNorthern Research Station, US Forest Service, 1 Gifford Pinchot Drive, Madison, WI 53726, USA.ORCID https://orcid.org/0009-0005-6295-3442
Chad HoffmanColorado State University, 1472 Campus Delivery, Fort Collins, CO 80523, USA.
Jesse CanfieldLos Alamos National Laboratory, P.O. Box 1663, MS T003, Los Alamos, NM 87545, USA.ORCID https://orcid.org/0000-0002-8975-9843
David RobinsonLos Alamos National Laboratory, P.O. Box 1663, MS T003, Los Alamos, NM 87545, USA.
Scott GoodrickSouthern Research Station, US Forest Service, 320 Green Street, Athens, GA 30602, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wildfires are growing in destructive power, and accurately predicting the spread and intensity of wildland fire is essential for managing ecological and societal impacts. No current operational models used for fire behavior prediction resolve critical fire-atmospheric coupling or nonlocal influences of the fire environment, rendering them inadequate in accounting for the range of wildland fire behavior scenarios under increasingly novel fuel and climate conditions. Here, we present a new perspective on a dominant fire-atmospheric feedback mechanism, which we term wildland fire entrainment (WFE). WFE is the fluid motion associated with air movement toward the fire driven by pressure gradients created by buoyant updrafts, and through integration of nonlocal influences on fire behavior, it plays a pivotal role in predicting wildland fire spread. WFE dynamically integrates all aspects of a fire's surrounding environment, fuels, topography, winds and fire line geometry to rate and pattern of fire spread and energy release. Because WFE explicitly incorporates fire-induced buoyancy, it links recent advances in idealized combustion research to the dynamic and highly variable wildland fire environment. Incorporating WFE into emerging fire models will allow more robust predictions of fire behavior and spread.

Indexed as

coupled fire-atmosphere feedbacksfire behaviorfluid dynamicsprescribed firewildfire

Identifiers

PMID39840224
PMCPMC11747357

What OpenQuestion holds

Textmetadata
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.