Evidence map›Paper›PMID 36848330›Full record

ArticlePloS one2023

Too hot, too cold, or just right: Can wildfire restore dry forests of the interior Pacific Northwest?

Skye M Greenler, Christopher J Dunn, James D Johnston, Matthew J Reilly, Andrew G Merschel, R Keala Hagmann, John D Bailey

Abstract read
In one paragraph

Article in PloS one, 2023. 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

7 authors.

Skye M GreenlerDepartment of Forest Engineering, Resources, and Management, Oregon State University, Corvallis, Oregon, United States of America.ORCID 0000-0002-4454-8970
Christopher J DunnDepartment of Forest Engineering, Resources, and Management, Oregon State University, Corvallis, Oregon, United States of America.
James D JohnstonDepartment of Forest Ecosystems and Society, Oregon State University, Corvallis, Oregon, United States of America.
Matthew J ReillyPacific Northwest Research Station, United States Department of Agriculture, United States Forest Service, Corvallis, Oregon, United States of America.
Andrew G MerschelDepartment of Forest Ecosystems and Society, Oregon State University, Corvallis, Oregon, United States of America.
R Keala HagmannSchool of Environmental and Forest Sciences, University of Washington, Seattle, Washington, United States of America.
John D BaileyDepartment of Forest Engineering, Resources, and Management, Oregon State University, Corvallis, Oregon, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As contemporary wildfire activity intensifies across the western United States, there is increasing recognition that a variety of forest management activities are necessary to restore ecosystem function and reduce wildfire hazard in dry forests. However, the pace and scale of current, active forest management is insufficient to address restoration needs. Managed wildfire and landscape-scale prescribed burns hold potential to achieve broad-scale goals but may not achieve desired outcomes where fire severity is too high or too low. To explore the potential for fire alone to restore dry forests, we developed a novel method to predict the range of fire severities most likely to restore historical forest basal area, density, and species composition in forests across eastern Oregon. First, we developed probabilistic tree mortality models for 24 species based on tree characteristics and remotely sensed fire severity from burned field plots. We applied these estimates to unburned stands in four national forests to predict post-fire conditions using multi-scale modeling in a Monte Carlo framework. We compared these results to historical reconstructions to identify fire severities with the highest restoration potential. Generally, we found basal area and density targets could be achieved by a relatively narrow range of moderate-severity fire (roughly 365-560 RdNBR). However, single fire events did not restore species composition in forests that were historically maintained by frequent, low-severity fire. Restorative fire severity ranges for stand basal area and density were strikingly similar for ponderosa pine (Pinus ponderosa) and dry mixed-conifer forests across a broad geographic range, in part due to relatively high fire tolerance of large grand (Abies grandis) and white fir (Abies concolor). Our results suggest historical forest conditions created by recurrent fire are not readily restored by single fires and landscapes have likely passed thresholds that preclude the effectiveness of managed wildfire alone as a restoration tool.

Indexed as

FiresTemperatureWildfiresEcosystemForestsNorthwestern United StatesPinus ponderosa

Identifiers

PMID36848330
PMCPMC9970105

What OpenQuestion holds

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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.