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Determining whether forest landscapes can maintain their resilience to fire–that is, their ability to rebound and sustain their current composition and structure–in the face of rapid climate change and increasing fire activity is a pressing…
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Decision support systems (DSSs) are increasingly common in forest and wildfire planning and management in the United States. Recent policy direction and frameworks call for collaborative assessment of wildfire risk to inform fuels treatment…
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In the near future, a higher occurrence of wildfires is expected due to climate change, carrying social, environmental, and economic implications. Such impacts are often associated with an increase of post‐fire hydrological and erosive responses,…
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Recent wildland fire disasters have attracted interest from a variety of disciplines seeking to reduce impacts of fire on people and natural resources. Architecture, insurance and reinsurance, city and county government, and engineering sectors have…
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For over 100 years, the US Forest Service (USFS) has developed initiatives to improve safety outcomes. Herein we discuss the engineered solutions used from 1910 through 1994, when the agency relied on physical science to address the hazards of…
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Climate change is projected to exacerbate the intensity of heat-waves and drought, leading to greater incidences of large and high-intensity wildfires in forested ecosystems. While commonly-used remotely-sensed spectral assessments can provide…
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A long-term study at Lick Creek demonstrates how fuel treatments in dry forests provide benefits beyond mitigating the chance of a high-severity fire.
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The dead foliage of scorched crowns is one of the most conspicuous signatures of wildland fires. Globally, crown scorch from fires in savannas, woodlands, and forests causes tree stress and death across diverse taxa. The term crown scorch, however,…
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Wildfire disasters on overhead transmission lines seriously threaten the safe and stable operation of large power grids and the normal use of electricity. After a wildfire occurs near a transmission line, it is often inefficient to take measures…
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Common land-surface disturbances in rangelands with potential to influence the resistance and resilience of the ecosystem include livestock grazing and fire. The impact of these land-use disturbances on the soil microbial community is important to…
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Computational models of wildfires are necessary for operational prediction and risk assessment. These models require accurate spatial fuel data and remote sensing techniques have ability to provide high spatial resolution raster data for landscapes…
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Fire-prone dry forests often face increasing fires from climate change with low resistance and resilience due to logging of large, old fire-resistant trees. Their restoration across large landscapes is constrained by limited mature trees, physical…
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Non‐native, invasive Bromus tectorum (cheatgrass) is pervasive in sagebrush ecosystems in the Great Basin ecoregion of the western United States, competing with native plants and promoting more frequent fires. As a result, cheatgrass invasion likely…
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In 2016, the USDA Forest Service, the largest wildfire management organization in the world, initiated the risk management assistance (RMA) program to improve the quality of strategic decision-making on its largest and most complex wildfire events.…
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Changing wildfire regimes are causing rapid shifts in forests worldwide. In particular, forested landscapes that burn repeatedly in relatively quick succession may be at risk of conversion when pre‐fire vegetation cannot recover between fires. Fire…
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A recent numerical simulation study by Moinuddin et al. (2018) determined that over a specific range of Froude numbers defined by them as ‘plume mode’, grass fuel height has a strong inverse effect on the rate of fire spread in grasslands. They then…
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Background: Maternal wildfire exposure (e.g., smoke, stress) has been associated with poor birth outcomes with effects potentially mediated through air pollution and psychosocial stress. Despite the recent hike in the intensity and frequency of…
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Wildfire behavior predictions typically suffer from significant uncertainty. However, wildfire modeling uncertainties remain largely unquantified in the literature, mainly due to computing constraints. New multifidelity techniques provide a…
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Understanding tree physiological responses to fire is needed to accurately model post‐fire carbon processes and inform management decisions. Given trees can die immediately or at extended time periods after fire, we combined two experiments to…
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Forest landscapes across western North America (wNA) have experienced extensive changes over the last two centuries, while climatic warming has become a global reality over the last 4 decades. Resulting interactions between historical increases in…
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