Evidence map›Paper›PMID 41696412›Full record

ArticleFire ecology2026

Assessing the potential fire tolerance of conifer saplings in cold and wet environments using a pyro-ecophysiology approach.

Alexander S Blanco, David R Wilson, Scott W Rainsford, Grant L Harley, Roshan P Bhatta, Corbin W Halsey, Gabriella M Eldridge, Daisy P Estrada Garza, L May Brown, Madeleine F Stanley and 7 more

Abstract read
In one paragraph

Article in Fire ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Alexander S Blanco *Department of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.
David R Wilson *Department of Civil and Environmental Engineering, College of Engineering, University of Idaho, Moscow, ID 83844 USA.
Scott W Rainsford *Department of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.
Grant L Harley *Department of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.
Roshan P Bhatta *Department of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.
Corbin W HalseyDepartment of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.
Gabriella M EldridgeDepartment of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.
Daisy P Estrada GarzaDepartment of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.
L May BrownDepartment of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.
Madeleine F StanleyDepartment of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.
Jeffrey A LoganDepartment of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.
Aaron M SparksDepartment of Geography, Florida State University, Tallahassee, FL 32306 USA.ORCID 0000-0003-1286-3770
Henry D AdamsSchool of the Environment, Washington State University, Pullman, WA 99164 USA.ORCID 0000-0001-9630-4305
Daniel M JohnsonWarnell School of Forestry and Natural Resources, University of Georgia, Athens, GA 30602 USA.ORCID 0000-0003-1015-9560
Andrew T HudakRocky Mountain Research Station, United States Forest Service, Moscow, ID 83844 USA.
Li HuangDepartment of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.
Alistair M S SmithDepartment of Earth and Spatial Sciences, College of Science, University of Idaho, Moscow, ID 83844 USA.ORCID 0000-0003-0071-9958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Climate change is expected to alter fire return intervals in cold and wet forests in the northwestern United States. This coupled with an expected rise in prescribed fires to restore healthy forests, disproportionately increases risk to saplings of tree species adapted to colder and wetter environments that have low fire resistance. To assess this potential impact, we evaluated the impacts of increasing fire intensity on Results: In this study we demonstrate that the probability of mortality in the saplings of these two conifer species displays a sigmoidal increase with increasing fire intensity. At fire radiative energy dosage levels < 0.6 MJ m Conclusions: Our results provide predictive tools that managers could use to make informed decisions on the potential impacts of fires on conifer saplings growing in cold and wet environments. Results from both species suggest that chlorophyll fluorescence temporal trends could serve as a potential early warning indicator of fire-induced tree mortality, however, future work should explore whether similar responses are observable using remote sensing data from solar-induced chlorophyll fluorescence and assess potential mechanisms underlying this signal. The general sapling mortality model presented in this paper appears to provide an improved method of predicting conifer sapling mortality over existing approaches, however, research is needed to develop coefficients to adjust the model with tree age and environmental factors. Further studies could also explore whether phenotypic plasticity is driving observed tree responses to fire from plants grown from similar environments. Supplementary Information: The online version contains supplementary material available at 10.1186/s42408-025-00443-7.

Indexed as

ConiferFire behaviorFire severityMortalityRecovery

Identifiers

PMID41696412
PMCPMC12894159

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Registered trials

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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.