Case Study
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This study defines five metrics that collectively provide comprehensive and complementary insights into the effect of fire regimes on ecosystem resilience and components of biodiversity. These include (1) Species Habitat Availability, a measure of the amount of suitable habitat for individual species; (2) Fire Indicator Species Index, population trends for species with clear fire responses; (3) Vegetation Resilience, a measure of plant maturity and the capability of vegetation communities to regenerate after fire; (4) Desirable Mix of Growth Stages, an indicator of the composition of post-fire age-classes across the landscape; and (5) Extent of High Severity Fire, a measure of the effect of severe fire on post-fire recovery of treed vegetation communities. Each metric can be quantified at multiple spatial and temporal scales relevant to evaluating fire management outcomes. Results highlight four characteristics of metrics that enhance their value for management: (1) they quantify both status and trends through time; (2) they are scalable and can be applied consistently across management levels (from individual reserves to the whole state); (3) most can be mapped, essential for identifying where and when to implement fire management; and (4) their complementarity provides unique insights to guide fire management for ecological outcomes.
In this Utah State University study, we began by reviewing published academic literature, focusing on the few studies conducted in Utah. To dig deeper, we focused on concerns raised in Summit County, where prescribed burning has drawn considerable public attention and occasional opposition. Finally, we conducted a preliminary online survey of wildland-urban interface (WUI) residents across the state to assess initial levels of concern and/or support for prescribed fire.
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Using the Gunnison sage-grouse as a case study, we leveraged existing resource selection function models to identify areas of high restoration potential across landscapes with variable habitat conditions and habitat-use responses. We also tested how this information could be used to improve restoration planning. We simulated change in model covariates across crucial habitats for a suite of restoration actions to generate heatmaps of relative habitat suitability improvement potential, then assessed the degree to which use of these heatmaps to guide placement of restoration actions could improve suitability outcomes. We also simulated new or worsening plant invasions and projected the resulting loss or degradation of habitats across space. We found substantial spatial variation in projected changes to habitat suitability and new habitat created, both across and among crucial habitats. Use of our heatmaps to target placement of restoration actions improved habitat suitability nearly fourfold and increased new habitat created more than 15-fold, compared to placements unguided by heatmaps. Our decision-support products identified areas of high restoration potential across landscapes with variable habitat conditions and habitat-use responses. We demonstrate their utility for strategic targeting of habitat restoration actions, facilitating optimal allocation of limited management resources to benefit species of conservation concern.
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The research presented in this article utilized mixed-method, residential surveys of property owners in Kittitas County, Washington, to explore influences on support for wildfire mitigation requirements and performance of voluntary mitigations on private lands. We found a high degree of variability in support for regulatory approaches, including relatively low levels of support for building or retrofitting regulations and a moderate level of support for vegetation management regulations. Perceptions about wildfire risk sources or public land management, past performance of wildfire mitigation actions, and support for shared, locally managed mitigations all correlated with support for differing regulatory approaches. We also found that performance of voluntary mitigation actions correlated with increasing wildfire program participation, differed among part-time or full- time residents, and were influenced by proximity to nearby property boundaries. Our results suggest that the most supported strategy in the study area may be the establishment of local, tax funded districts that encourage voluntary mitigation actions tailored to local circumstances. We conclude the paper by comparing our results to existing lessons from wildfire social science.
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This qualitative case study evaluates manager and researcher perceptions of the impact of a place-based, collaborative knowledge co-development process and examines the outcomes of that co-development for changes to management approaches. The USDA Forest Service (Forest Service) Rocky Mountain Research Station General Technical Report 373 (GTR-373) is a codeveloped science synthesis that functions as a boundary object providing a framework for planning, designing, and implementing management action for restoration of ponderosa and dry mixed-conifer forests. The process of creating and socializing the GTR-373 framework fostered continual knowledge exchange and engagement between researchers and managers across different organizations and levels of decision-making. This built trust in the information, improved justification for management action, developed a common foundation for cross-boundary implementation, and increased communication. The framework has been applied across jurisdictions and has been used as a foundational tool for training staff and designing projects. However, adapting the GTR-373 framework across scales remains challenging.
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Biocrusts are sensitive to changes in livestock grazing intensity in arid rangelands and may be useful indicators of ecosystem functions, particularly soil properties like soil stability, which may suggest the potential for soil erosion. We compared biocrust community composition and surface soil stability in a big sagebrush steppe rangeland in the northwestern Great Basin in several paired sites, with or without long-term cattle grazing exclusion, and similar soils (mostly sandy loams), climate, and vegetation composition. We found that livestock grazing was associated with both lower surface soil stability and cover of several biocrust morphogroups, especially lichens, compared with sites with long-term livestock exclusion. Surface soil stability did not modify the effects of grazing on most biocrust components via interactive effects. Livestock grazing effects on total biocrust cover were partially mediated by changes in surface soil stability. Though lichens were more sensitive to grazing disturbance, our results suggest that moss (mostly Tortula ruralis in this site) might be a more readily observable indicator of grazing-related soil stability change in this area due to their relatively higher abundance compared with lichens (moss: mean, 8.5% cover, maximum, 96.1%, lichens: mean, 1.0% cover, maximum, 14.1%). These results highlight the potential for biocrust components as sensitive indicators of change in soil-related ecosystem functions in sagebrush steppe rangelands. However, further research is needed to identify relevant indicator groups across the wide range of biocrust community composition associated with site environmental characteristics, variable grazing systems, other rangeland health metrics, and other disturbance types such as wildfire.
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Like many communities across the western United States, the greater Flagstaff area in northern Arizona has experienced multiple wildfires in recent years that have resulted in postfire flooding. The 2019 Museum Fire provides a case study for better understanding how the cascading disturbances of wildfire and postfire flooding, which can be further compounded by adjacent disturbances like monsoon-related flooding, impacted Flagstaff residents, and how they were informed of, perceive, and respond to these risks. In 2022, we conducted a survey in Flagstaff after 2021 flooding associated with the Museum Fire burn scar and monsoonal events to better understand attitudes “before” and “after” flooding. This resulted in findings in eight thematic areas: 1) respondent demographics; 2) geographic distribution of respondents in 2022; 3) experiences with recent flooding events; 4) communication during flood events; 4) flood risk perceptions; 6) flood insurance coverage; 7) mitigating flood risk; and 8) managing flood risk, wildfires, and forest management. This work builds upon a survey we completed in 2019 immediately following the Museum Fire that evaluated respondents’ experience with the fire and evacuation, communication of fire emergency information, and opinions regarding forest management.
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We present an easily replicable approach to calculate the economic cost from carbon released instantaneously from wildfires at state and county level (US). Our approach is straightforward and relies exclusively on publicly available data that can be easily obtained for locations throughout the USA. We also describe how to apply social cost of carbon estimates to the carbon loss estimates to find the economic value of carbon released from wildfires. We demonstrate our approach using a case study of the 2017 Eagle Creek Fire in Oregon. Our estimated value of carbon lost for this medium-sized (19,400 ha) fire is $187.2 million (2020 dollars), which highlights the significant role that wildfires can have in terms of carbon emissions and their associated cost. The emissions from this fire were equivalent to as much as 2.3% of non-fire emissions for the state of Oregon in 2020.
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Costs associated with the Schultz Fire continued to accrue over 10 years, particularly those associated with post-wildfire flooding, totalling between US$109 and US$114 million. Suppression costs represented only 10% of total costs.
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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).