Fuels & Fuel Treatments
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This study evaluated drivers of fire severity and fuel treatment effectiveness in the 2014 Carlton Complex, a record‐setting complex of wildfires in north‐central Washington State. All treatment areas burned with higher proportions of moderate and high severity fire during early fire progressions, but thin and underburn, underburn only, and past wildfires were more effective than thin‐only and thin and pile burn treatments. Treatment units had much greater percentages of unburned and low severity area in later progressions that burned under milder fire weather conditions, and differences between treatments were less pronounced. Our results provide evidence that strategic placement of fuels reduction treatments can effectively reduce localized fire spread and severity even under severe fire weather. During wind‐driven fire spread progressions, fuel treatments that were located on leeward slopes tended to have lower fire severity than treatments located on windward slopes. As fire and fuels managers evaluate options for increasing landscape resilience to future climate change and wildfires, strategic placement of fuel treatments may be guided by retrospective studies of past large wildfire events.
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The primary objective of this study was to explore the application of a dynamic global vegetation model (DGVM), the Ecosystem Demography (EDv2.2), to understand vegetation dynamics and ecosystem productivity in varying climate and fire scenarios. Most vegetation models do not represent sagebrush’s physical and physiological functions. Thus, we developed a sagebrush plant functional type (PFT) to use in modeling. Associated with this, the researchers performed a series of analyses and evaluations of the sagebrush and in the context of scenarios under natural (undisturbed) and disturbed (fire) environments.
- Results indicate that a number of sagebrush parameters are most sensitive to how productive the plant is (in our model). These include specific leaf area (SLA), stomatal slope, fine root turnover rate, cuticular conductance, and maximum carboxylation rate. These findings allow future sagebrush modeling efforts to further refine these parameters in different environments.
- The researchers comparisons between model runs and field data from Reynold Creek Experimental Watershed (RCEW), show good agreement. Improvements are needed to refine the model with additional PFTs representative of a range of elevations in the Great Basin.
- The researchers fire scenario modeling suggested that fire substantially reduced shrub gross primary production (GPP) and it took several decades before it was restored to pre-fire conditions. Grass GPP, however, responded more quickly in post-fire conditions. While these processes are representative of field observations and other studies, additional PFTs and improvement in fire routines in the model will provide for a better prognosis of future ecosystem dynamics of the sagebrush-steppe.
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View the complete pinyon-juniper synthesis
View fact sheet on pinyon-juniper ecology
View fact sheet on pinyon-juniper history
View fact sheet on pinyon-juniper ecohydrology
View fact sheet on pinyon-juniper management and restoration
This synthesis reviews current knowledge of pinyon and juniper ecosystems, in both persistent and newly expanded woodlands, for managers, researchers, and the interested public. We draw from a large volume of research papers to centralize information on these semiarid woodlands. The first section includes a general description of both the Great Basin and northern Colorado Plateau. The ecology section covers woodland and species life histories, biology, and ecology and includes a detailed discussion of climate and the potential consequences of climate change specific to the Great Basin and Colorado Plateau. The history section discusses 20,000 years of woodland dynamics and geographic differences among woodland disturbance regimes and resilience. The ecohydrology section discusses hydrologic processes in woodlands that influence soil conservation and loss; water capture, storage, and release; and the effect that woodland structure and composition have on these processes. The final section, restoration and management, covers the history of woodland management, the different methods used, the advantages and disadvantages of different vegetation treatments, and posttreatment vegetation responses. We also discuss successes and failures and key components that determine project outcomes important for consideration when restoring ecosystem function, integrity, and resilience.
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Modelling the spatial prioritization of fuel treatments and their net effect on values at risk is an important area for applied work as economic damages from wildfire continue to grow. We model and demonstrate a cost-effective fuel treatment planning algorithm using two ecosystem services as benefits for which fuel treatments are prioritized. We create a surface of expected fuel treatment costs to incorporate the heterogeneity in factors affecting the revenue and costs of fuel treatments, and then prioritize treatments based on a cost-effectiveness ratio to maximize the averted loss of ecosystem services from fire. We compare treatment scenarios that employ cost-effectiveness with those that do not, and use common tools and models in a case study of the Sisters Ranger District on the Deschutes National Forest in central Oregon.
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The Forest Health in Oregon: State of the State 2020 conference was February 26-27 at the LaSells Stewart Center on the campus of Oregon State University in Corvallis, OR. Geared to foresters, forest managers, woodland owners, students, and others with an interest in forest health, the conference provided a blend of current information and practical applications on how to manage a healthy forest.
This webinar will provide an introduction to the fundamental concepts and tools for understanding the who, what, why and how for managing prescribed fire smoke in the Southeast. Speakers from regional air quality regulation programs will discuss topics including: smoke production, smoke prediction, regional regulations, health impacts and more. Following the presentation there will be time for audience Q/A with the speakers.
A 1.5 hour webinar from the EPA Region 4, Georgia Department of Natural Resources Environmental Protection Division, North Carolina Department of Environmental Quality Air Quality Division, SERPPAS Prescribed Fire and Air Quality Working Group, North Carolina State University, the Southern Fire Exchange, and the University of Florida. Presenters: Scott Davis (EPA R4), Heidi LeSane, (EPA R4), Rick Gillam (EPA R4), Jim Boylan (GA DNR EPD), Randy Strait (NC DEQ AQ), and Jenn Fawcett (SERPPAS/NCSU)
Prescribed fire is an important management tool on federal lands that is not being applied at the necessary or desired levels. Since 2017, we have been investigating policy barriers and opportunities for increasing prescribed fire application on US Forest Service and Bureau of Land Management lands in the Western United States. In the first phase of our work, we found that lack of adequate capacity and funding were the most commonly cited barriers to increasing application of prescribed fire, and that successful approaches rely on collaborative forums and positions that allow for communication, problem-solving, and resource sharing among federal and state partners. In 2019, we completed case studies of locations using unique strategies to increase application of prescribed fire in complex land management contexts. This webinar reports on the primary themes from these case studies, highlighting specific examples of practice from different Forest Service and BLM units.
The Fuel Characteristic Classification System (FCCS) was designed to store and archive wildland fuel characteristics within fuelbeds, defined as the inherent physical characteristics of fuels that contribute to fire behavior and effects. The FCCS represents fuel characteristics in six strata including canopy, shrubs, herbaceous fuels, downed wood, litter-lichen-moss, and ground fuels. Each stratum is further divided into one or more categories and subcategories to represent the complexity of wildland and managed fuels. A variety of techniques to measure and summarize fuelbed data are detailed in this guide. This guide is organized by strata and categories to facilitate data input into FCCS fuelbeds and provides field sampling forms by stratum. The first section provides an overview of how FCCS reference fuelbeds were constructed from databases, literature sources, and expert opinion. The guide next describes how regional pathway fuelbeds can provide a systematic set of management fuelbeds that track vegetation and fuel succession over time as well as management activities such as prescribed burning and mechanical thinning. The final section details common field sampling methodologies for users who wish to use field measurements to construct FCCS fuelbeds.
In an empirical analysis of shaded fuelbreaks that burned during the 2014 Bald Fire (15,950 ha on the Lassen National Forest, California), we found that overall fire severity was reduced in the treated areas relative to untreated. A non-linear mixed effects model estimates that the reduction was detected more than 400 m into the treated area, greater than the standard width of the prescribed fuelbreak. Both pre- and post-fire species composition differed between treated and untreated forest, with few living stems remaining in the measured untreated areas. In the post-fire treated area, we documented a mixed conifer forest dominated by larger diameter Pinus, implying that the fuelbreak did result in a more resilient post-fire structure and composition. These results indicate that fuelbreak design may need to be wider than generally prescribed and that even during extreme fire conditions fuel treatments can result in resilient forest structures.
Using data collected as part of the Sagebrush Steppe Treatment Evaluation Project (SageSTEP), this guide summarizes fuel loads, vegetation cover by functional group, and shrub and tree stem density 10 years after sagebrush and pinyon-juniper reduction treatments. The data was collected at 16 study sites in Washington, Oregon, California, Nevada, and Utah, and is summarized by treatment type, region, and roups or woodland development phases based on pre-treatment vegetation. These summarized data an be used by land managers and fire behavior specialists to quickly estimate fuel loads in older treatments or to predict fuel loads 10 years after a potential treatment. These fuel loading data can be used to create custom fuel beds to model fire behavior and effects.