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RAPID: Addressing the wind and water erosion knowledge gap in Drylands: Fire as a driver of erosion in cheatgrass invaded Sagebrush Steppe

RAPID: Addressing the wind and water erosion knowledge gap in Drylands: Fire as a driver of erosion in cheatgrass invaded Sagebrush Steppe
RAPID:解决旱地的风蚀和水蚀知识差距:火灾是入侵山艾草草原的侵蚀的驱动因素
批准号:
2141804
负责人:
Robert Washington-Allen
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-08-01 至 2023-07-31

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中文摘要
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英文摘要
This project responds to a June 9, 2021, wildfire that burned 283 hectares of the 999-ha Jacks Valley Wildlife Management Area (WMA) in south Carson City, Nevada. It explores soil erosion processes occurring subsequent to fires induced by cheat grass invasion. It will quantity the factors influencing wind and water erosion using modern instruments, including terrestrial laser scanner, unmanned autonomous vehicle, ground penetrating radar, and satellite imagery. The project team includes members of groups historically underrepresented in science. Students will be supported on the project through paid internships that leverage existing programs at the University of Nevada, Reno, and connections with federal partners. The data generated could be useful to tribal communities whose lands are at high risk to degradation. Building on an established United States Department of Agriculture (USDA) Agricultural Research Service (ARS) study, this project addresses a critical knowledge gap in our fundamental understanding of wind and water erosion rates in dryland landscapes that are undergoing abrupt change. The wildfire event that is the focus of this study presents a time-sensitive opportunity to collect perishable data on the wind- and water- driven soil erosion that occurs subsequent to fires induced by increased cheatgrass fuel loads in sagebrush steppe. The investigators will address research questions related to the relative contribution to the annual sediment budget of various factors influencing erosion. These factors will be quantified using terrestrial laser scanning, unmanned aerial vehicles, ground penetrating radar, and satellite imagery.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Supply Chain Collaboration in addressing Grand Challenges: Socio-Technical Perspective
  • 批准号:
    --
  • 项目类别:
    外国青年学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    Lim Jia Jia
  • 依托单位: