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Big sagebrush cover decreased significantly in response to spring temperatures. On the other hand, cheatgrass cover and Sandberg’s bluegrass cover increased mostly in wetter years. Three other species analyzed, three-tip sagebrush, needle-and-thread grass and bluebunch wheatgrass, showed very weak responses to annual climate. This analysis shows that species commonly found together may differ in how they respond to annual climate variation. The weak response to annual climate variation we observed is in contrast to the strong sensitivity to climate predicted by species distribution models. Our analysis suggests that species’ responses to climate may require long-term changes in climate or may be driven by other indirect effects of climate, such as fire frequency.
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Efforts to understand, assess, and address diversifying recovery needs have growing relevance as wildfires continue to impact communities. However, little is known about social experiences navigating gaps in assistance funding and support or “unmet needs” in post-fire spaces, particularly for indirect impacts like smoke damage. Determining how affected residents access available information and make decisions related to unmet needs can aid the development of resources and programs that support rapid identification of, and response to, emergent or undocumented impacts during recovery processes. This study explores household experiences with smoke damage as an unmet need during recovery following the 2021 Marshall Fire in Boulder County, Colorado, USA. Semi-structured interviews with residents and professionals who dealt with smoke damage revealed a wide spectrum of impacts. Decisions to act on smoke damage were influenced by risk perceptions and personal capacity to undertake self-guided recovery in the absence of a formalized process for navigating remediation. These experiences underscored a distinct absence of scientific and management expertise, legal protections or standards, and assistance related to smoke damage identification and remediation, catalyzing distrust in officials and ambiguity regarding whether smoke damaged homes could become safe again. Together, these conditions created cascading uncertainties for residents with smoke damaged homes that motivated long-term health concerns. Unmet needs after wildfire appeared to emerge because of misconceptions about impact severity, limited professional capacity, and adherence to rigid recovery structures that restrict professionals’ ability to identify and incorporate non-traditional impacts into existing processes. Findings informed suggestions for improving smoke damage recovery processes, inviting consideration of policy and more inclusive assistance to support recovery from indirect wildfire impacts.
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Wildland firefighters (WLFFs) face significant brain health risks due to prolonged exposure to smoke, extreme heat, dehydration, physical exertion and irregular sleep patterns. Here, the literature is presented as a narrative review on studies that inform our knowledge on WLFF brain health. The neurotoxic components of wildfire smoke, such as particulate matter, carbon monoxide and polycyclic aromatic hydrocarbons, can disrupt brain function by inducing oxidative stress, neuroinflammation and hypoxia, which can contribute to cognitive decline and increase the risk of neurodegenerative diseases. Chronic heat exposure can exacerbate these risks leading to impaired cognitive functions including attention, memory, and decision-making. Sleep deprivation and extended shifts can compound cognitive and mood impairments through elevated stress hormone levels and inflammatory cytokines. Psychological stressors in wildland firefighting, including exposure to traumatic events, increase vulnerability to post-traumatic stress, anxiety, depression and suicidal ideation. Protective strategies for WLFFs should include personal protective equipment, hydration protocols, extended recovery periods and mental health programs. Future research should focus on long-term studies to fully understand the cumulative effects of these occupational hazards on brain health and inform policy changes to safeguard WLFF well-being. This holistic approach is critical as fire seasons become longer and more intense due to climate change.
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To assess relationships between fire spread rates and landscape burn severity patterns, we used satellite fire detections to create day-of-burning maps for 623 fires comprising 4267 single-day events within forested ecoregions of the southwestern United States. We related satellite-measured burn severity and a suite of high-severity patch metrics to daily area burned. Extreme fire spread events (defined here as burning > 4900 ha/day) exhibited higher mean burn severity, a greater proportion of area burned severely, and increased like adjacencies between high-severity pixels. Furthermore, increasing daily area burned also resulted in greater distances within high-severity patches to live tree seed sources. High-severity patch size and total high-severity core area were substantially higher for fires containing one or more extreme spread events than for fires without an extreme event. Larger and more homogenous high-severity patches produced during extreme events can limit tree regeneration and set the stage for protracted forest conversion. These landscape outcomes are expected to be magnified under future climate scenarios, accelerating fire-driven forest loss and long-term ecological change.
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To assess relationships between fire spread rates and landscape burn severity patterns, we used satellite fire detections to create day-of-burning maps for 623 fires comprising 4267 single-day events within forested ecoregions of the southwestern United States. We related satellite-measured burn severity and a suite of high-severity patch metrics to daily area burned. Extreme fire spread events (defined here as burning > 4900 ha/day) exhibited higher mean burn severity, a greater proportion of area burned severely, and increased like adjacencies between high-severity pixels. Furthermore, increasing daily area burned also resulted in greater distances within high-severity patches to live tree seed sources. High-severity patch size and total high-severity core area were substantially higher for fires containing one or more extreme spread events than for fires without an extreme event. Larger and more homogenous high-severity patches produced during extreme events can limit tree regeneration and set the stage for protracted forest conversion. These landscape outcomes are expected to be magnified under future climate scenarios, accelerating fire-driven forest loss and long-term ecological change.
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In this chapter, we identify and classify sources of uncertainty using an established analytical framework, and summarize results graphically in an uncertainty matrix. Our analysis facilitates characterization of the underlying nature of each source of uncertainty (inherent system variability versus limited knowledge), the location where it manifests within the modeling process (inputs, parameters, model structure, etc.), and its magnitude or level (on a continuum from complete determinism to total ignorance). We adapt this framework to the wildfire context by identifying different planning horizons facing fire managers (near‐, mid‐, and long‐term) as well as modeling domains that correspond to major factors influencing fire activity (fire behavior, ignitions, landscape, weather, and management). Our results offer a high‐level synthesis that ideally can provide a sound informational basis for evaluating current modeling efforts and that can guide more in‐depth analyses in the future. Key findings include: (1) uncertainties compound and magnify as the planning horizon lengthens; and (2) while many uncertainties are due to variability, gaps in basic fire-spread theory present a major source of knowledge uncertainty.
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To assess the effects of seeding on the genetic diversity of wildland populations, we conducted a genetic survey of bluebunch wheatgrass (Pseudoroegneria spicata) populations within the perimeter of a recent megafire in southeastern Oregon and southwestern Idaho, United States. We genotyped 760 samples with 10 polymorphic loci. We found similar genetic diversity in populations four to 5 years after seeding compared to unseeded populations that were either burned or unburned. Furthermore, genetic diversity neither increased nor decreased with distance from the fire’s edge, suggesting that wind dispersal from neighboring remnant populations plays a minor role in immediate post-fire recovery compared to resprouting and germination from the seed bank. Though no change was detected in the short term, this survey of genetic variation after a post-fire seeding provides an empirical baseline that can be used to track changes in genetic diversity of these wildland populations over time.
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This report makes the case that forest restoration should be at least equal to other land management priorities because large-scale restoration is necessary for the sake of forest ecosystem integrity now and into the future. Another proposal is to switch the “default” rule in federal planning documents that currently have to “justify” managed wildland fire; instead, U.S. federal agencies should be required to disclose the long-term ecological impacts of continued fire suppression.
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There are thousands of abandoned mine land (AML) sites in the U.S. that need to be restored to reduce wind and water erosion, provide wildlife forage, shade streams, and improve productivity. Biochar created from woody biomass that would normally be burned in slash piles can be applied to soil to improve soil properties and is one method to restore AML soil productive capacity. Using this ‘waste’ biomass for biochar and reclamation activities will reduce wildfire risk, air pollution from burning, and particulates released from burning wood. Biochar has the potential to improve water quality, bind heavy metals, or decrease toxic chemical concentrations, while improving soil health to establish sustainable plant cover, thereby preventing soil erosion, leaching, or other unintended, negative environmental consequences. Using forest residues to create biochar also helps reduce woody biomass and improves forest health and resilience. We address concerns surrounding organic and inorganic contaminants on the biochar and how this might affect its’ efficacy and provide valuable information to increase restoration activities on AMLs using biochar alone or in combination with other organic amendments. Several examples of AML biochar restoration sites initiated to evaluate short- and long-term above- and belowground ecosystem responses are presented.
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The Sagebrush Treatment Evaluation Project (SageSTEP) evaluated the ecological effects of prescribed fire and cut‐and‐leave treatments in sagebrush communities experiencing tree expansion in North American cold desert shrublands. We used 10 yr of data from the SageSTEP network to test how treatments interacted with pre‐treatment tree dominance, soil climate, and time since treatment to affect plant functional groups and dominant species. Non‐sprouting shrub (Artemisia spp.), sprouting shrub, perennial graminoid, and annual grass responses depended on tree dominance and soil climate, and responses were related to the dominant species’ life‐history traits. Sites with warm and dry soils showed increased perennial graminoid but reduced Artemisia shrub cover across the tree dominance gradient after prescribed burning, while sites with cool and moist soils showed favorable post‐burn responses for both functional types, particularly at low to moderate tree dominance. Cut‐and‐leave treatments sustained or increased native perennial plant functional groups and experienced smaller increases in exotic annual plants in both soil climates across the tree dominance gradient. Both treatments reduced biocrust cover. Selecting appropriate tree‐reduction treatments to achieve desired long‐term outcomes requires consideration of dominant species, site environmental conditions, and the degree of woodland expansion. Careful selection of management treatments will reduce the likelihood of undesirable consequences to the ecosystem.