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General distribution of weeds located within the Buffalo Field Office jurisdiction
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Mitigation of ecological damage caused by rangeland wildfires has historically been an issue restricted to the western United States. It has focused on conservation of ecosystem function through reducing soil erosion and spread of invasive plants. Effectiveness of mitigation treatments has been debated recently. We searched for literature on postfire seeding of rangelands worldwide. Literature databases searched included SCOPUS, Dissertation Abstracts, Forest Science, Tree search, Web of Science, Google Scholar, and science.gov. Search terms within publications included fire or wildfire in combination with seeding, rehabilitation, restoration, revegetation, stabilization, chaining, disking, drilling, invasives,...
The California Invasive Plant Council (Cal-IPC) developed a “risk mapping” approach that combines comprehensive distribution maps with maps of current and future suitable range to show where each (invasive) species is likely to spread. The distribution maps are based on a new dataset created through a major campaign to collect expert opinion data from local resource managers across the state. From this dataset, Cal-IPC recently completed risk maps and management recommendations for 43 invasive plant species in the Sierra Nevada. The proposed project will build an online tool for these data. The tool will allow natural resource managers to generate risk maps and summary statistics for areas they select, and to determine...
Categories: Data, Project; Tags: 2010, 2012, 2013, Applications and Tools, CA, All tags...
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Post-fire rehabilitation seeding in the U.S. Intermountain West, primarily conducted by the Bureau of Land Management, is designed to reduce the risk of erosion and weed invasion while increasing desirable plant cover. Seeding effectiveness is typically monitored for three years following treatment, after which a closeout report is prepared. We evaluated 220 third-year closeout reports describing 214 aerial and 113 drill seedings implemented after wildfires from 2001 through 2006. Each treatment was assigned a qualitative success rating of good, fair, poor, or failure based on information in the reports. Seeding success varied by both treatment (aerial or drill) and year. Aerial seedings were rated 13.6% good, 18.3%...
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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 Weed Distributions for the BLM Buffalo Field Office, Wyomng Fire Risk Scores from Predictive Model Based on Flammability and Fire Ecology of Non-Native Hawaiian Plants from 2020-2021 Weed Distributions for the BLM Buffalo Field Office, Wyomng Fire Risk Scores from Predictive Model Based on Flammability and Fire Ecology of Non-Native Hawaiian Plants from 2020-2021