Evidence map›Paper›PMID 41395376›Full record

ArticleFire ecology2025

A post-fire reforestation assessment and prioritization tool for the Western United States.

Zachary A Holden, Ellen Jungck, Kimberley T Davis, Dyer A Warren, Alan Swanson, Solomon Z Dobrowski, Marco Maneta, Kyle C Rodman, Lewis Faller, Vince Archer

Abstract read
In one paragraph

Article in Fire ecology, 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. Review
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

10 authors.

Zachary A HoldenUSDA Forest Service, Rocky Mountain Research Station, Missoula, MT 59808 USA.ORCID 0000-0002-4319-6491
Ellen JungckUSDA Forest Service Region 1, Missoula, MT 59808 USA.
Kimberley T DavisUSDA Forest Service, Rocky Mountain Research Station, Missoula, MT 59808 USA.
Dyer A WarrenDepartment of Community and Public Health, University of Montana, Missoula, MT 59810 USA.
Alan SwansonDepartment of Community and Public Health, University of Montana, Missoula, MT 59810 USA.
Solomon Z DobrowskiDepartment of Forest Management, University of Montana, Missoula, MT 59810 USA.
Marco ManetaDepartment of Geosciences, University of Montana, Missoula, MT 59810 USA.
Kyle C RodmanEcological Restoration Institute, Northern Arizona University, Flagstaff, AZ 86011 USA.
Lewis FallerDepartment of Forest Management, University of Montana, Missoula, MT 59810 USA.
Vince ArcherUSDA Forest Service Region 1, Missoula, MT 59808 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Increasing wildfire area burned has left millions of hectares in the western United States (US) in need of reforestation. Recent federal legislation allows for increased investments in tree planting to address the backlog of planting needs in previously burned areas. To support post-fire planning and assessment, we developed Regenmapper, a web-based decision support system (DSS) that provides spatial information on natural regeneration potential within post-fire environments. The program is freely available from a web browser (https://alpheus.dbs.umt.edu/regenmapper) and is designed to function across all land ownership categories for the 11 western States. Results: Regenmapper allows users to select historical wildfires or upload their own burn severity maps for recent fires. Within the burned area, it then predicts the potential for natural regeneration based on distance to mature live trees (seed sources) and hydroclimatic conditions. To this end, we developed 30-m resolution soil water balance and surface temperature models with corresponding projections for the 2050 period based on scenarios from the 6th Coupled Model Intercomparison Project (CMIP6). These data are used to estimate the probability of natural seedling regeneration based on historical or future biophysical conditions, respectively, and species-specific climatic tolerances. We also implement a simple planting prioritization algorithm based on distance to roads and the relative effects of dispersal and climatic limitations to rapidly identify accessible sites that are unlikely to reforest naturally. For US Forest Service managers, we develop an additional prioritization matrix based on fire severity, the probability of natural regeneration, and where federal law mandates reforestation when fires burn through recently harvested areas. Finally, we demonstrate model outputs in a case study approach through the 2017 Lolo Peak fire in Montana, US. Conclusions: Investments in tree planting will influence the extent and trajectory of future forests, but drought, climate change, and wildfires may challenge the ability of managers to re-establish forests over upcoming decades. DSS's like Regenmapper will benefit the planning and execution of tree planting efforts by reducing time required to conduct post-fire assessments and improving planting outcomes. Supplementary Information: The online version contains supplementary material available at 10.1186/s42408-025-00405-z.

Identifiers

PMID41395376
PMCPMC12698830

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LicenceCC BY
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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.