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Layer: Furthest_Head_Project (ID:15)

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Name: Furthest_Head_Project

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Multiple partners working together developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian ecosystems, including meadows, in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the research and management partners on the geomorphic sensitivity and ecological resilience of these systems to stressors and disturbances. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation characteristics. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the watershed-scale data collected for the individual watersheds. We also describe the database of the variables collected for the individual watersheds and provide the data sources. Finally, we provide summary information on the characteristics of the regions and watersheds within the region and the implications for assessments of geomorphic sensitivity and ecological resilience. The target audience for the multiscale approach for assessing geomorphic sensitivity and ecological resilience is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain range and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. https://www.fs.fed.us/rmrs/projects/multi-scale-resilience-based-framework-restoring-and-conserving-great-basin-wet-meadows-and



Copyright Text: Board, D.I., Dilts, T.E., Weisberg, P.J., Knight, A.C., Chambers, J.C., Lord, M.L & Miller J.R. (2020) Characterizing Ecoregions and Montane Perennial Watersheds of the Great Basin. RMRS-GTR-419

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Last Edit Date: 5/20/2021 9:34:57 PM

Schema Last Edit Date: 5/20/2021 9:34:57 PM

Data Last Edit Date: 5/20/2021 9:34:57 PM

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