Research and Publications
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While increased length and intensity of wildfire seasons in many places have led to more concern about wildland firefighter safety, we believe ethnography has been underutilized as a method within this domain. In response, we begin building a shared idiom for ethnographic engagement with wildland firefighter safety and similar occupations. We draw on ethnographic approaches to late industrialism to develop a method called discursive risk analysis (DRA) as an initial stage in a broader collaborative and generative research practice. By collaborative, we mean cooperation among stakeholder, disciplinary, professional, and other groups. We use DRA to analyze ethnographic data and documentary sources relevant to discussions of ‘the Big Lie’ among firefighters and agency leadership. The Big Lie is a term that both firefighters and agency leaders used to suggest that wildland firefighters are being harmed by agency discourse that says firefighters will be kept safe despite the unavoidable danger of the job. It is important to the Big Lie discussion that this harm is conceptualized by firefighters as discursively driven, necessitating a research method attentive to discourse. Discursive Risk Analysis of the Big Lie discussion suggests two discursive gaps that may result in two discursive risks. The first gap, found in agency discourse, is that ‘everyone knows the job is dangerous’ but ‘zero fatalities is a reasonable goal.’ This gap is associated with a discursive risk, a possible decrease in trust among wildland firefighters in agency leadership. The second gap, observed in firefighter discourse, is that ‘the job is dangerous’ but ‘no one will get hurt today.’ This gap is associated with another discursive risk, the possibility of decreased situational awareness. Finally, we clarify each of these gaps and risks through two anthropological concepts (the Sapir–Whorf hypothesis and the public secret) that can bring new perspectives to discussions about institutional cultures of health and safety.
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For nearly 12 years, the Field Guide for Mapping Post-Fire Soil Burn Severity has provided BAER teams with consistent methodologies, tools, and terminology to quickly and accurately identify postfire conditions. RMRS Research Engineer Pete Robichaud and colleagues created the field guide, which is now available in Spanish.
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The wildland-urban interface (WUI) is the area where structures and other human development intermingle with wildland vegetation or where housing is in the vicinity of large areas of wildland vegetation. This StoryMap provides data on two trends from 1990 to 2020: the expansion of WUI area and the growth in housing in WUI areas.
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The 2015 U.S. Fish and Wildlife Service listing determination of “not warranted” under the Endangered Species Act was in part a result of a large-scale collaborative effort to develop strategies to conserve GRSG populations and their habitat and to reduce threats to both. New scientific information augments existing knowledge and can help inform updates or modifications to existing plans for managing GRSG and sagebrush ecosystems. However, the sheer number of scientific publications can be a challenge for managers tasked with evaluating and determining the need for potential updates to existing planning documents. To assist in this process, the USGS has reviewed and summarized the scientific literature published since January 1, 2015. Our most recent GRSG literature summary was published in 2020 (Carter and others, 2020) and included products published through October 2, 2019. Here, we consider products published between October 2, 2019, and July 21, 2022. We compiled and summarized peer-reviewed journal articles, data products, and formal technical reports (such as U.S. Department of Agriculture Forest Service General Technical Reports and USGS Open-File Reports) on greater sage-grouse. We first systematically searched three reference databases and three government databases using the search phrase “greater sage-grouse.” We refined the initial list of products by removing (1) duplicates, (2) publications not published as research, data products, or scientific review articles in peer-reviewed journals or as formal technical reports, and (3) products for which greater sage-grouse was not a research focus or the study did not present new data or findings about greater sage-grouse. We summarized each product using a consistent structure (background, objectives, methods, location, findings, and implications) and identified management topics addressed by each product; for example, species and population characteristics. We also identified projects that provided new geospatial data. The review process for this annotated bibliography included two initial internal colleague reviews of each summary, requesting input on each summary from an author of the original publication, and formal peer review. Our initial searches resulted in 221 total products, of which 147 met our criteria for inclusion. Across products summarized in the annotated bibliography, broad-scale habitat characteristics, behavior or demographics, site-scale habitat characteristics, habitat selection, and population estimates or targets were the most commonly addressed management topics. The online version of this bibliography, which will be available on the Science for Resource Managers tool (https://apps.usgs.gov/science-for-resource-managers), will be searchable by topic, location, and year, and will include links to each original publication. The studies compiled and summarized here may inform planning and management actions that seek to maintain and restore sagebrush landscapes and GRSG populations across the GRSG range.
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Effective wildlife management requires robust information regarding population status, habitat requirements, and likely responses to changing resource conditions. Single-species management may inadequately conserve communities and result in undesired effects to non-target species. Thus, management can benefit from understanding habitat relationships for multiple species. Pinyon pine and juniper are expanding into sagebrush-dominated ecosystems within North America and mechanical removal of these trees is frequently conducted to restore sagebrush ecosystems and recover greater sage-grouse. However, pinyon-juniper removal effects on non-target species are poorly understood, and changing pinyon-juniper woodland dynamics, climate, and anthropogenic development may obscure conservation priorities. To better predict responses to changing resource conditions, evaluate non-target effects of pinyon-juniper removal, prioritize species for conservation, and inform species recovery within pinyon-juniper and sagebrush ecosystems, we modeled population trends and density-habitat relationships for four sagebrush-associated, four pinyon-juniper-associated, and three generalist songbird species with respect to these ecosystems. We fit hierarchical population models to point count data collected throughout the western United States from 2008 to 2020. We found regional population changes for 10 of 11 species investigated; 6 of which increased in the highest elevation region of our study. Our models indicate pinyon-juniper removal will benefit Brewer’s sparrow, green-tailed towhee, and sage thrasher densities. Conversely, we predict largest negative effects of pinyon-juniper removal for species occupying early successional pinyon-juniper woodlands: Bewick’s wren, black-throated gray warblers, gray flycatcher, and juniper titmouse. Our results highlight the importance of considering effects to non-target species before implementing large-scale habitat manipulations. Our modeling framework can help prioritize species and regions for conservation action, infer effects of management interventions and a changing environment on wildlife, and help land managers balance habitat requirements across ecosystems.
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Increases in fire activity and changes in fire regimes have been documented in recent decades across the western United States. Climate change is expected to continue to exacerbate impacts to forested ecosystems by increasing the frequency, size, and severity of wildfires across the western United States (US). Warming temperatures and shifting precipitation patterns are altering western landscapes and making them more susceptible to high-severity fire. Increases in large patches of high-severity fire can result in significant impacts to landscape processes and ecosystem function and changes to vegetation structure and composition. In this synthesis, we examine the predicted climatic influence on fire regimes and discuss the impacts on fire severity, vegetation dynamics, and the interactions between fire, vegetation, and climate. We describe predicted changes, impacts, and risks related to fire with climate change and discuss how management options may mitigate some impacts of predicted fire severity, and moderate some impacts to forests, carbon, and vegetation changes post fire.
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Sagebrush shrublands in the Great Basin, USA, are experiencing widespread increases in wildfire size and area burned resulting in new policies and funding to implement fuel treatments. However, we lack the spatial data needed to optimize the types and locations of fuel treatments across large landscapes and mitigate fire risk. To address this, we developed treatment response groups (TRGs)—sagebrush and pinyon-juniper vegetation associations that differ in resilience to fire and resistance to annual grass invasion (R&R) and thus responses to fuel treatments.
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Many nations administer national forest inventory programs for unbiased estimation of forest attributes over broad spatial and temporal extents. However, management and conservation decisions often demand reliable estimates for finer spatiotemporal domains. In the western US, wildfire activity is expanding and postfire regeneration must contend with a warmer, drier climate. We evaluate the potential of K nearest neighbor (KNN) strategies for estimation of stocking across postfire measurements of Forest Inventory & Analysis plots in 11 western US states, and subsequently for model-assisted (MA) estimation of stocking over domains defined by aggregations of burned areas within individual states and 4-year periods. In particular, we develop and evaluate a form of constrained KNN that allows for unbiased MA domain estimation under simple random sampling by drawing only on measurements external to a domain of interest. KNN strategies based on geographically, radiometrically, and climatically proximate measurements are found to provide more accurate estimates of stocking at the plot level than domain means. Applying the selected external KNN strategy also reduced standard errors of MA domain estimates by 16% over direct domain estimators, but bias correction introduces substantial variability over synthetic estimates. Further applications of the external constraint imposed on KNN are discussed.
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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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Wildfire regimes are changing dramatically across North American deserts with the spread of invasive grasses. Invasive grass fire cycles in historically fire-resistant deserts are resulting in larger and more frequent wildfire. This study experimentally compared how single and repeat fires influence invasive grass-dominated plant fuels in the Great Basin, a semi-arid, cold desert, and the Mojave, a hyper-arid desert. Both study sites had identical study designs. In the summer of 2011, we experimentally burned half of each experimental block, the other half remaining as an unburned control. Half of the burned plots were reburned 5 years later to simulate increasing burn frequency. We estimated non-woody plant biomass, cover, and density in plots from 2017 to 2020.