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Volumes of eroded sediment after wildfires vary substantially throughout different geologic terrains across the western United States. These volumes are difficult to compare because they represent the response to rainstorms and runoff with different characteristics. However, by measuring the erosion response as the erodibility efficiency of water to detach and transport sediment on hillslopes and in channels, the erosion response from different geologic terrains can be compared. Specifically, the erodibility efficiency is the percentage of the total available stream power expended to detach, remobilize, or transport a mass of sediment. Erodibility efficiencies were calculated for the (i) initial detachment, and...
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Wildfire is a dominant ridge to reef threat to human and natural communities in the Hawaiian Islands, with impacts to natural and cultural resources and ecoystem services. Fire regimes in Hawaii have shifted from very infrequent wildfire occurrence prior to human arrival to greatly increased frequency, intensity, and size over the past 100+ years, almost all of which is driven by anthropogenic ignitions and wildland fuels associated with invasive species, particularly grasses. Recent fire science has greatly increased understanding of contemporary drivers of fire in Hawaii; however, the social dimensions and historical perspectives from Hawaiian language primary sources have not been integrated into synthetic understanding...
Abstract (from http://www.aimspress.com/aimses/ch/reader/view_abstract.aspx?doi=10.3934/environsci.2015.2.203): Contemporary pressures on sagebrush steppe from climate change, exotic species, wildfire, and land use change threaten rangeland species such as the greater sage-grouse (Centrocercus urophasianus). To effectively manage sagebrush steppe landscapes for long-term goals, managers need information about the potential impacts of climate change, disturbances, and management activities. We integrated information from a dynamic global vegetation model, a sage-grouse habitat climate envelope model, and a state-and-transition simulation model to project broad-scale vegetation dynamics and potential sage-grouse habitat...
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We developed a screening system to identify introduced plant species that are likely to increase wildfire risk, using the Hawaiian Islands to test the system and illustrate how the system can be applied to inform management decisions. Expert-based fire risk scores derived from field experiences with 49 invasive species in Hawai′i were used to train a machine learning model that predicts expert fire risk scores from among 21 plant traits obtained from literature and databases. The model revealed that just four variables can identify species categorized as higher fire risk by experts with 90% accuracy, while low risk species were identified with 79% accuracy. We then used the predictive model to screen 365 naturalized...


map background search result map search result map Fire Risk Scores from Predictive Model Based on Flammability and Fire Ecology of Non-Native Hawaiian Plants from 2020-2021 Selected Hawaiian Language Newspaper Articles Relating to Wildfires in 1877 and 1901 Selected Hawaiian Language Newspaper Articles Relating to Wildfires in 1877 and 1901 Fire Risk Scores from Predictive Model Based on Flammability and Fire Ecology of Non-Native Hawaiian Plants from 2020-2021