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Filters: partyWithName: Tamara S Wilson (X) > partyWithName: U.S. Geological Survey (X)

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This spreadsheet dataset (.csv file) contains annual land-use and land cover area in square kilometers (km2) by scenario, timestep, WEAP hydrologic zone, and 4 sub-regions within the broader California Central Valley, modeled using the LUCAS ST-Sim for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water, poor management), California Dreamin’ (DREAM; high water availability, good management), Central Valley Dustbowl (DUST; low water availability, poor management), and Everyone Equally Miserable (EEM; low water availability, good management). These...
This spreadsheet dataset (.csv file) contains annual modeled output of land-use and land-cover change transitions in square kilometers (km2) by specified transition group, scenario, timestep, WEAP hydrologic zone, and 4 sub-regions within the broader California Central Valley, modeled using the LUCAS ST-SIM for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water availability, poor management), California Dreamin’ (DREAM; high water availability, good management), Central Valley Dustbowl (DUST; low water availability, poor management), and Everyone...
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This data release provides 270-m resolution maps of hotspots of vulnerability to projected changes in land-use, water shortages, and climate from 2001-2061 for agricultural, domestic, and ecological communities in the Central Coast of California, USA, under five management scenarios. This data covers the counties of Santa Cruz, San Benito, Monterey, San Luis Obispo, and Santa Barbara counties, but only cover those areas overlying a groundwater basin (because these contain the overwhelming majority of regional anthropogenic land-uses). Data are provided as .zip compressed file packages containing geospatial raster surfaces (.tif format). Each map is the product of one of three types of exposure to change (land, water,...
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This data release contains a shapefile of riparian vegetation communities attributed with information on trends in satellite-estimates of vegetation productivity for the period from 2000-2020. Cloud-masked Landsat data were processed from 2000 to 2020 to generate a 21-year growing season (June, July, and August) time series combining data from Landsat 5 (2000-2011), Landsat 7 (2012), and Landsat 8 (2013-2020). We computed the near-infrared reflectance of vegetation (NIRv) which is strongly correlated to vegetation Gross Primary Productivity (GPP). We analyzed growing season time series trends in NIRv by riparian vegetation type at the polygon-level using the Theil-Sen estimator (aka Sen's slope). In addition to...
    map background search result map search result map State Class Spreadsheet (Area of Land in Each Class per Year, per Scenario) State Class Transition Spreadsheet (Area of Land Transition into Each Class per Year, per Scenario) Spatial data of California riparian vegetation productivity trends over time (2000-2020) and environmental covariates Agricultural, domestic, and ecological vulnerability of California's Central Coast to projected changes in land-use, water sustainability, and climate by 2061 under five scenarios Agricultural, domestic, and ecological vulnerability of California's Central Coast to projected changes in land-use, water sustainability, and climate by 2061 under five scenarios Spatial data of California riparian vegetation productivity trends over time (2000-2020) and environmental covariates State Class Spreadsheet (Area of Land in Each Class per Year, per Scenario) State Class Transition Spreadsheet (Area of Land Transition into Each Class per Year, per Scenario)