Research and Publications

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Post-fire field guide: Create and use post-fire soil burn severity maps

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In the weeks following the 2022 Cedar Creek Fire, an Interagency Burned Area Emergency Response (BAER) team was mobilized to identify and mitigate risks to human life and safety and critical water resources in the surrounding communities, including Oakridge, Oregon. During their assessment, the BAER team used a field guide developed by the Rocky Mountain Research Station to create a soil burn severity map and identify areas prone to elevated erosion. Their field work led to quick assessment of potential harm to water quality in Waldo Lake.

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Improving climate resilience of persistent pinyon-juniper woodlands

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This report highlights recent science on primary threats to persistent woodlands, identifies the role of changing climate, and highlights new efforts and approaches to develop management  strategies focusing on building pinyon-juniper woodland health and climate resilience.

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A nontarget, disturbance-resilient native species influences post-fire recovery

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Native species that are abundant and persistent across disturbance-succession cycles can affect recovery and restoration of plant communities, especially in drylands. In the sagebrush-steppe deserts of North America, restoring deep-rooted perennial bunchgrasses (DRPBGs) is key to the strategy for breaking an increasingly problematic cycle of wildfire promoted by exotic annual grasses (EAGs) and displacement of perennials by post-fire increases in EAGs. We asked how Sandberg bluegrass (Poa secunda)—a common native grass that shares traits with EAGs such as resilience to disturbance and rapid, shallow-rooted, early season growth—(1) recovered after wildfire, (2) responded to different combinations of native-plant seedings of DRPBGs and EAG-targeting herbicides; and (3) in turn, related to DRPBG recovery.

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Fire history to identify seed needs in the Cold Deserts of the western US

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This study used geospatial seed transfer zones as our focal management areas. We broadly considered generalized provisional seed transfer zones, created using climate and stratified by ecoregion, but also present results for empirical seed transfer zones, based on species‐specific research, as part of our case study. Historic fire occurrence was effective for prioritizing seed transfer zones: 23 of 132 provisional seed transfer zones burned every year, and, within each ecoregion, two provisional seed transfer zones comprised ≧50% of the total area burned across all years. Fire occurrence within PACs largely reflected the seed transfer zone priorities found for the ecoregion as a whole. Our results demonstrate that historic disturbance can be used to identify regions that encounter regular or large disturbance. This information can then be used to guide seed production, purchase, and storage, create more certainty for growers and managers, and ultimately increase restoration success.

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Wildland Fire Mitigation and Management Commission: Final report

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In the face of this national challenge, Congress took bipartisan action to establish the Wildland Fire Mitigation and Management Commission through the 2021 Infrastructure Investment and Jobs Act. The legislation charged the 50-member Commission with the ambitious task of creating policy recommendations to address nearly every facet of the wildfire crisis, including mitigation, management, and postfire rehabilitation and recovery. Recognizing the urgency of the crisis, the Commission was given just a single year to  conduct a sweeping review of the wildfire system and produce a comprehensive set of policy priorities.

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Predicting burn severity for integration with post-fire debris-flow hazard assessment: Case study from Upper Colorado Rv Basin

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Fuels, pre-fire weather, and topography were important predictors of burn severity, although predictor importance varied between fires. Post-fire debris-flow hazard rankings from predicted burn severity (pre-fire) were similar to hazard assessments based on observed burn severity (post-fire).

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The value of rapid parcel-level wildfire risk assessments

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Many tools that identify wildfire risks and hazards across the landscape assume that all houses and properties within a community have the same level of risk. However, there are often substantial differences across properties, such as building materials and distance to overgrown vegetation. Tools that don’t account for parcel-level risk cannot provide the details necessary for informing action on private property, such as maintaining defensible space, posting a visible address sign, or hardening a structure.

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“Community” definition matters for wildfire risk education efforts

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Biophysical and social data collected at the property level are used to investigate whether practitioner defined “communities” within a contiguous geographic area are distinct in dimensions relevant to tailoring wildfire preparedness and mitigation education efforts. Specifically, we ask: How can local, community-specific social data inform wildfire education efforts across diverse communities? To answer this question, the research attends to the notion that there is not a one-size-fits-all approach to fire adapted communities by investigating what (e.g., the messaging, the programs, the communication mode), if anything, about wildfire education efforts should be tailored to the local context?

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Model predicts which buildings will survive fire

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Colorado State University engineers have developed a model that can predict how wildfire will impact a community, down to which buildings will burn. They say predicting damage to the built environment is essential to developing fire mitigation strategies and steps for recovery.

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Consequential lightning-caused wildfires and the “let burn” narrative

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Initial strategies were driven by resource objectives for only six of the 32 wildfires; firefighter hazard mitigation was the primary driver of all others. No fire exhibited every characteristic of the Tamarack Fire. Analog fires accounted for a small percent (3.4%) of large (> 121 ha) USFS lightning-caused ignitions. These fires were responsible for 61.6% of structures destroyed and 25.8% of total personnel commitments of large lightning-caused USFS fires.

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