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State Class Rasters (Land Use and Land Cover per Year and Scenario)

Dates

Publication Date
Start Date
2011
End Date
2101

Citation

Wilson, T.S., Matchett, E., Byrd, K., Conlisk, E., Reiter, Wallace, C., Flint, L.E., Flint, A.L., Joyce, B., and Moritsch, M., 2021, Integrated modeling of climate and land change impacts on future dynamic wetland habitat – a case study from California’s Central Valley: U.S. Geological Survey data release, https://doi.org/10.5066/P9BSZM8R.

Summary

This dataset consists of raster geotiff outputs of annual map projections of land use and land cover for the California Central Valley 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 Equally Miserable (EEM; low water availability, good management). These scenarios represent alternative plausible futures, capturing a range of climate variability, land management activities, [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

State Class Rasters.7z
“State Class Rasters Data Zip File”
49.76 MB application/x-7z-compressed

Purpose

The data can be used to visualize annual land-use and land-cover across the region for each modeled year and scenario, highlighting the spatial and temporal distribution of potential future ecological and waterbird habitat. Data is being provided to improve the replicability of analysis and meet federal open data standards.

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