Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northwest CASC > FY 2014 Projects > Changes to Watershed Vulnerability under Future Climates, Fire Regimes, and Population Pressures > Approved DataSets ( Show all descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___Northwest CASC ____FY 2014 Projects _____Changes to Watershed Vulnerability under Future Climates, Fire Regimes, and Population Pressures ______Approved DataSets Filters
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These data were used to examine how post-fire sedimentation might change in western USA watersheds with future fire from the decade of 2001-10 through 2041-50. The data include previously published projections (Hawbaker and Zhu, 2012a, b) of areas burned by future wildfires for several climate change scenarios and general circulation models (GCMs) that we summarized for 471 watersheds of the western USA. The data also include previously published predictions (Miller et al., 2011) of first year post-fire hillslope soil erosion from GeoWEPP that we summarized for 471 watersheds of the western USA. We synthesized these summarized data in order to project sediment yield from future fires for 471 watersheds through the...
Categories: Data;
Types: Citation;
Tags: A1B emission scenario,
A2 emission scenario,
Annual Post-fire Sediment Yield,
Arizona,
Average Burned Area,
This data release contains projections of future water demand for the Western USA at the county level. This data is part of the project "Changes to Watershed Vulnerability under Future Climates, Fire Regimes, and Population Pressures" (https://www.sciencebase.gov/catalog/item/531dc54de4b04cb293ee7806), and is the product of an analysis that determined where populations are changing, and how that change could affect residential and agricultural water withdraws from surface and ground water. Agricultural water use was derived from the Cropland Data Layer (CDL) of the National Agricultural Statistics Service, while residential water use was drawn from the USGS (Maupin et al. 2014). The scenarios follow four Intergovernmental...
Categories: Data;
Tags: Geography,
ICLUS Scenarios,
Land Use Change,
SRES Scenarios,
USGS Science Data Catalog (SDC),
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