Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change
Dates
Publication Date
2017-09-01
Start Date
1992
End Date
2062
Citation
Wilson, T.S., 2017, Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change: U.S. Geological Survey data release, https://doi.org/10.5066/F7Z60MZC.
Summary
This dataset contains .csv and .tif image files in support of the conclusions published in "Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change" in the journal PLOS One. We used the USGS's LUCAS model to examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand, including the historical (1992-2011) and projected periods (2012-2062) across 40 Monte Carlo simulations.We examined a range of potential water demand futures sampled from a 20-year record of historical (1992-2012) data to develop a suite of potential future land change scenarios from 2012-2062. These scenario simulations include a 1) business-as-usual [...]
Summary
This dataset contains .csv and .tif image files in support of the conclusions published in "Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change" in the journal PLOS One. We used the USGS's LUCAS model to examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand, including the historical (1992-2011) and projected periods (2012-2062) across 40 Monte Carlo simulations.We examined a range of potential water demand futures sampled from a 20-year record of historical (1992-2012) data to develop a suite of potential future land change scenarios from 2012-2062. These scenario simulations include a 1) business-as-usual (BAU), 2) low agriculture (LA), 3) high agriculture (HU), 4) low urban (LU), 5) high urban (HU), 6) lowest of the low (LL), and 7) highest of the high (HH) anthropogenic use scenarios.
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Purpose
The data were produced by running the Land Use and Carbon Scenario Simulator (LUCAS) model across 7 different future land use scenarios from 1992 to 2062 across 40 Monte Carlo iterations. Data include spreadsheets of each scenario and iteration output for state classes (i.e. land use and land cover) and state attributes (i.e. water use by land use class), as well as summarized output for 1) net change in land use and land cover, 2) change in water demand by 2062 for the region, and 3) net change in water demand by 2062 for each county and land use class. Summary raster geospatial .tif files show the average annual transition probability across all 7 scenarios and 40 Monte Carlo simulations for future urbanization and future agricultural expansion land use transitions. These two files were merged and summed to create the average annual transition probability map for future anthropogenic land use. Future land-use and water-demand projections are useful for resource managers and planners to envision potential resource futures.
