Fuels & Fuel Treatments
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Pre-fire differences in fuel and vegetation responses among treatments largely did not persist or were not detectible 1 to 2 years following wildfire. These findings suggest that the extreme wildfire conditions superseded long-term treatment differences in many fuel and vegetation metrics observed prior to wildfire. Despite subtle treatment differences, the hand thinned treatment resulted in the lowest change in fuel loading relative to all other treatments. Lastly, pre-fire differences in exotic species among fuel treatments were retained following wildfire, suggesting some treatments may have greater potential for exotic species expansion or type conversion to exotic grasslands.
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We find that the inclusion of sagebrush-obligates expands the model-selected area of consideration for conifer management, likely because habitat overlap between sagebrush-obligates is imperfect. The inclusion of pinyon jay, a woodland-obligate, resulted in substantial shifts in the distribution of model-selected priority areas for conifer removal, particularly away from pinyon jay strongholds in Nevada and east-central California. Finally, we compared the conifer optimizations created here with estimates of ongoing conifer removal efforts across the intermountain west and find that a small proportion (13−18%) of management efforts had occurred on areas predicted as being important for pinyon jay, suggesting that much of the ongoing work is already successfully avoiding critical pinyon jay habitat areas.
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Our findings demonstrate that targeted sage grouse habitat restoration under SGI was not at odds with protection of pinyon jay populations. Rather, conifer management has largely occurred among northern sagebrush landscapes where models suggest that past cuts likely benefit Brewer’s sparrow and sage thrasher while avoiding pinyon jay habitats.
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We investigated how incident management teams consider and incorporate US Forest Service (USFS) fuel treatments into wildfire response. Our goals were to: 1) understand how forest and fire personnel communicate about existing treatments; 2) understand what treatment characteristics they look for to meet different objectives; and 3) gather recommendations for improving fuel treatments to support incident management. We conducted 59 interviews with fire and fuel personnel in the western United States. This work included seven case studies of 2020 and 2021 wildfires where existing fuel treatments were considered in incident response.
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Vegetation and substrate burn severity was characterized as moderate across the study site and did not differ among treatments. Contrasting with higher pre-fire shrub density in the mastication + burning treatment, 2-year post-fire live shrub density did not differ among treatments. Higher pre-fire fine woody fuel loading in the mastication treatment did not correspond to post-fire fuel loading among treatments, while the hand thinned treatment was the only treatment where fine fuel loading was not significantly reduced post-fire. Total plant species richness increased in all treatment types following wildfire, largely driven by an increase in exotic species. Native cover decreased, and exotic cover increased in oak and chaparral types, but greater exotic species cover in the mastication + burning treatment in chaparral was maintained following wildfire.
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This study focused on alternative perspectives of successful fuel break use and the impact of fuel break configurations and management actions on fire risk across a given landscape. This was accomplished using a variety of methods. We used a survey of wildland fire management personnel to gather information on perceptions of fuel break effectiveness, data on fuel break use, and locations of the fuel breaks in question. Input was sought from
managers for fuel breaks throughout California. Managers who were responsible for a specific fuel break or were familiar with suppression operations on a fuel break were eligible to take this survey.
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Our results indicate pinyon jay populations are declining within Bird Conservation Region 16. Jay density was positively associated with sagebrush cover, Palmer Drought Severity Index, and pinyon-juniper cover. Conversely, jay populations were negatively associated with Normalized Difference Vegetation Index (NDVI). We found higher pinyon jay densities within locations possessing both sagebrush and pinyon-juniper cover; conditions characteristic of phase I and II conifer encroachment which are preferentially targeted for conifer removal to restore sagebrush communities. Conifer removal, if conducted at locations with high pinyon jay densities, is therefore likely to negatively affect jay abundance.
Webinar recording.
A recent report, Effectiveness of fuel treatments at the landscape scale: State of understanding and key research gaps, provides key findings from four literature synthesis documents (concepts and fuel treatment effectiveness measurements, empirical, simulation, and case studies) that evaluate the extent to which landscape fuel treatments mitigate adverse effects of wildfire, provide opportunities to manage fire for beneficial effects of wildfire, provide opportunities for cost efficient fire suppression strategies, maximize fire responder safety, provide results to inform future fuel treatment planning, and identify research gaps.
Join the Joint Fire Science Network and Rocky Mountain Research Station for the Landscape Fuel Treatment Effectiveness webinar on Wednesday, April 5 from 11:00 – 12:30 MT.
Four Rocky Mountain Research Station scientists will present their latest research followed by a panel discussion and Q&A.
- Lessons learned from wildland fire case studies | Ali Urza, Research Ecologist
- Quantifying forest wildfire hazard and fuel treatment effectiveness from stands to landscapes | Sharon Hood, Research Ecologist
- Fuel treatment scenarios tested through simulation studies | Jeff Ott, Research Ecologist
- Is there empirical evidence for landscape-level fuel treatment effectiveness? | Shawn McKinney, Writer/Editor
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We developed and applied a spatial optimization algorithm to prioritize forest and fuel management treatments within a proposed linear fuel break network on a 0.5 million ha Western US national forest. The large fuel break network, combined with the logistics of conducting forest and fuel management, requires that treatments be partitioned into a sequence of discrete projects, individually implemented over the next 10–20 years. The original plan for the network did not consider how linear segments would be packaged into projects and how projects would be prioritized for treatments over time, as the network is constructed. Using our optimization algorithm, we
analyzed 13 implementation scenarios where size-constrained projects were prioritized based on predicted wildfire hazard, treatment costs, and harvest revenues.
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Qualifying studies focused primarily but not exclusively on forested landscapes of the western USA and ranged in size from 200 to 3,400,000 ha. Most studies showed that scenarios with fuel reduction treatments had lower levels of wildfire compared to untreated scenarios. Damaging wildfire types decreased while beneficial wildfire increased as a result of treatments in most cases where these were differentiated. Wildfire outcomes were influenced by five dimensions of treatment design (extent, placement, size, prescription, and timing) and other factors beyond the treatments (weather, climate, fire/fuel attributes, and other management inputs). Studies testing factorial combinations showed that the relative importance of these factors varied across landscapes and contexts.