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The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2011. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer...
The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2011. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer...
The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2011. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer...
The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2011. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer...
The Vista tool is used to create a Scenario of the CAs affecting the North American Warm Desert Riparian Woodland, Shrubland, Mesquite Bosque and Stream CE and applies user-input Landscape Condition Model (LCM) scores to generate ESAs for each of the CEs. The LCM consists of Site Impact scores and impact Distances for each CA category. Site Impact scores are a value between 0 and 1 representing the impact of the CA on the relevant CEs. A score close to 1 indicates negligible or no impact from that CA. A score close to 0 indicates the highest possible impact, e.g. an interstate highway that makes the area in which it occurs completely unsuitable for the CE. Distances are set in meters and extend the impact of the...
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
The Vista tool is used to create a Scenario of CAs affecting the Terrestrial Montane Lifezone Distribution CE and applies user-input Landscape Condition Model (LCM) scores to generate an Ecological Integrity Assessment (EIA) for the CE. The LCM consists of Site Impact scores and impact Distances for each CA category. Site Impact scores are a value between 0 and 1 representing the impact of the CA on the relevant CEs. A score close to 1 indicates negligible or no impact from that CA. A score close to 0 indicates the highest possible impact, e.g. an interstate highway that makes the area in which it occurs completely unsuitable for the CE. Distances are set in meters and extend the impact of the CA from the footprint...
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
The Vista tool is used to create a Scenario of the development CAs affecting the Coues White-tail Deer (Odocoilus virginianus couesi) CE and applies user-input Landscape Condition Model (LCM) scores to generate ESAs for each of the CEs. The LCM consists of Site Impact scores and impact Distances for each CA category. Site Impact scores are a value between 0 and 1 representing the impact of the CA on the relevant CEs. A score close to 1 indicates negligible or no impact from that CA. A score close to 0 indicates the highest possible impact, e.g. an interstate highway that makes the area in which it occurs completely unsuitable for the CE. Distances are set in meters and extend the impact of the CA from the footprint...
The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
The Vista tool is used to create a Scenario of the invasives CAs affecting the Pronghorn (Antilocapra americana) CE and applies user-input Landscape Condition Model (LCM) scores to generate ESAs for each of the CEs. The LCM consists of Site Impact scores and impact Distances for each CA category. Site Impact scores are a value between 0 and 1 representing the impact of the CA on the relevant CEs. A score close to 1 indicates negligible or no impact from that CA. A score close to 0 indicates the highest possible impact, e.g. an interstate highway that makes the area in which it occurs completely unsuitable for the CE. Distances are set in meters and extend the impact of the CA from the footprint out for the specified...
This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
These data were reprojected to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version and clipped to the MAR REA boundary. This raster dataset is a classification of bhdXXXXbc (base case scenario) from ICLUS v1.2 which is produced using the SERGoM v3 model, depicts housing density for the coterminous US in 2000, based on 2000 US Census Bureau block (SF1) datasets. (The classication is shown below.) A raster layer that portrays not-developed (and assumed to be undevelopable) called DEV20091024_depicts protected/unprotected lands and Census water polygons. Land was removed from blocks (reducing the area of a block, but not its number of housing units -- assuming that private housing units must be on private land) that...
This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
A raster map of soils at risk of water erosion distribution across the Madrean Archipelago study area.
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