Filters: partyWithName: U.S. Geological Survey (X) > partyWithName: Jason Kreitler (X)
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This dataset contains a projection of land use and land cover for the conterminous United States for the period 2001 - 2061. This projection used the USGS's LUCAS (Land Use and Carbon Scenario Simulator) model to project a business as usual scenario of land cover and land use change. By running the LUCAS model on the USGS's YETI high performance computer and parallelizing the computation, we ran 100 Monte Carlo simulations based on empirically observed rates of change at a relatively fine scale (270m). We sampled from multiple observed rates of change at the county level to introduce heterogeneity into the Monte Carlo simulations. Using this approach allowed the model to project different outcomes that were summarized...
In the desert southwest biodiversity is facing a changing landscape due to human population growth, expansion of energy development, and from the persistent effects of climate change among other threats. The 2012 Desert LCC science needs document recognized the importance of modeling and predicting habitat area, fragmentation and corridor network connectivity for a broad range of wildlife taxa. Tools and methods from conservation planning are available to address some of these issues, but tools to evaluate the expected benefits of corridors in mitigating climate change effects are only in their infancy. This USGS project will use quantitative spatial analysis and principles from landscape ecology to determine where...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: 2012,
AZ-01,
AZ-02,
AZ-03,
AZ-04,
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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