Filters: Tags: Western US (X)
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The Western Governors’ Association (WGA) sponsored an assessment of crucial habitats which will be used for the evaluation of landscape-scale energy, land use, and transportation projects throughout the western United States. The main product of the WGA’s assessment is an easily accessible online system of maps displaying crucial habitats and corridors known as the Crucial Habitat Assessment Tool (CHAT; http://www.westgovchat.org/).Crucial habitats were based on factors such as species of concern, species of economic and recreational importance, special ecological systems and habitat types, habitat corridors, native species richness, and ecological integrity (i.e., unfragmented habitats). All of these factors are...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
Assessment,
California,
Colorado,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, we have trained time-series predictions directly from 331 high-resolution sites collected from 2013-2018 from Assessment, Inventory, and Monitoring (AIM) instead of using the 2016 “base” map as an intermediary....
Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2023 reference period in conjunction with soils and topography data to develop empirical models describing the spatio-temporal variation in component cover. To investigate the ramifications of future change across the western US, we extended models based on historical relationships over the reference period to model landscape effects based on future weather conditions from two emissions scenarios...
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,
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
We summed the number of wildfires, regardless of their size, simulated by the model MC2 for each pixel for the 21st century. We averaged that number across 12 different climate future runs. The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration...
This data set consists of approved wind energy development facilities locations in the western United States. The data set was created by converting facilities polygons to point locations,.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
California,
Colorado,
Colorado Plateau,
Columbia Plateau,
This data was produced to examine the extent and location of human induced fires throughout the western United States. The National Fire Occurrence Database (1986-1996) and additional government agency fire occurrence databases were queried for human induced fires between 1986 and 2001.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Burn,
Fires,
Human,
Human induced,
Western US
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was...
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was...
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, we have trained time-series predictions directly from 331 high-resolution sites collected from 2013-2018 from Assessment, Inventory, and Monitoring (AIM) instead of using the 2016 “base” map as an intermediary....
The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. We report an automated method of mapping rangeland fractional component cover over a large portion of the Northern Great Basin, USA, from 1986 to 2016 using a dense Landsat imagery time series. 2012 was excluded from the time-series due to a lack of quality imagery. Our method improved upon the traditional change vector method by considering the legacy of change at each pixel. We evaluate cover trends stratified...
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