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The Geospatial Multi-Agency Coordination Group, or GeoMAC, is an internet-based mapping tool originally designed for fire managers to access online maps of current wildland fire locations and perimeters in the continental United States, including Alaska. Perimeters are submitted to GeoMAC by the incidents via posting to FTP and web sites for downloading. This file contains wildland fire perimeters submitted to GeoMAC from the year 2000 to the calendar year preceeding the current one. The projection is geographic and the datum is NAD83. Last updated January 20, 2011, SPW. Additional metadata available at: http://rmgsc.cr.usgs.gov/outgoing/GeoMAC/historic_fire_data/us_hist_fire_perimeters_dd83_METADATA.htm
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...
This dataset shows the current distribution of Inter-Mountain Basins Montane Sagebush Steppe (NatureServe Landcover) within the context of current and near-term terrestrial intactness and long-term potential for energy development and potential for climate change (4KM reporting units). Current terrestrial intactness is based on current measures of landscape development, fire regime and vegetation impacts, and fragmentation. Near-term intactness includes estimates of urban growth and expansion of invasive vegetation. Long-term potential for energy development is based on areas of potential for wind, solar, and petroleum development derived from multiple sources. Long-term potential for climate change is based on...
This dataset presents black-footed ferret potential current distribution within the context of current and near-term terrestrial intactness and long-term potential for energy development and potential for climate change (4KM reporting units). Current terrestrial intactness is based on current measures of landscape development, fire regime and vegetation impacts, and fragmentation. Near-term intactness includes estimates of urban growth and expansion of invasive vegetation. Long-term potential for energy development is based on areas of potential for wind, solar, and petroleum development derived from multiple sources. Long-term potential for climate change is based on absolute changes in runoff, precipitation, temperature,...
5th Code HUC reporting units for the Colorado Plateau Ecoregion Used as analytical reporting units for aquatic conservation elements.
Runoff simulated by the biogeography model MAPSS using RegCM3 climate with GENMOM projections as boundary conditions. Units are millimeters of water. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well as soils information (texture, depth). Based on a set of climatic thresholds, the model...
Average Annual Temperature (2015-2030) simulated by RegCM3 with ECHAM5 projections as boundary conditions. Units are degrees Celsius. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline was calculated...
This dataset shows the current distribution of Inter-Mountain Basins Montane Sagebush Steppe (LANDFIRE EVT) within the context of current and near-term terrestrial intactness and long-term potential for energy development and potential for climate change (4KM reporting units). Current terrestrial intactness is based on current measures of landscape development, fire regime and vegetation impacts, and fragmentation. Near-term intactness includes estimates of urban growth and expansion of invasive vegetation. Long-term potential for energy development is based on areas of potential for wind, solar, and petroleum development derived from multiple sources. Long-term potential for climate change is based on absolute...
This dataset shows historic change agents and disturbance types within the historic distribution of this vegetation community as mapped in the LANDFIRE Biophysical Settings (BpS v1.0) dataset. The BpS provides an estimate of the distribution of this community under pre- Euroamerican settlement reference conditions (including historic fire regimes). While based on biophysical gradients and limited training plot data, with resultant inaccuracies of prediction, the BpS provides the best available estimate of the distribution of this vegetation community. Existing vegetation classifications are inadequate for estimating the distribution of this community for the purposes of this analysis, because they only provide a...
Potential Evapotranspiration simulated by the biogeography model MAPSS using RegCM3 climate with GFDL projections as boundary conditions. Units are millimeters of water. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well as soils information (texture, depth). Based on a set of climatic thresholds,...
The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The existing vegetation height (EVH) data layer is an important input to LANDFIRE modeling efforts. Canopy height is generated separately for tree, shrub and herbaceous cover life forms using training data and a series of geospatial data layers. EVH is determined by the average height weighted by species...
Natural Heritage New Mexico used standard photo-interpretive techniques to survey 1,654 digital orthophoto quarter quads (DOQQs) for ground disturbance caused by GPD. The surveyed area covered 7,944,262 ha. To assess accuracy, field observers walked 101, 2 km transects on the Navajo Nation and 50 on the Hopi Reservation, distances of approximately 202 and 100 km, respectively. On the surveyed DOQQs we delineated 40,587 ha of apparent GPD disturbance. We found apparent GPD disturbance that, when confirmed on the ground, will extend the GPD range up to 50 km to the northwest.
Southwest reGAP modeled distribution of Black-footed ferret in the Colorado Plateau ecoregion, USA The Southwest Regional Gap Analysis Project predicted habitat for 819 vertebrate species that reside, breed, or use habitat in the five-state region for a substantial portion of the their life history. The list of species to model was determined by identifying decision rules for taxon inclusion (These rules can be provided upon request). To create the most accurate models possible we are engaging taxa experts to provide a review of these habitat models. These models are based on the concept of Wildlife Habitat Relationships (WHRs). We have defined WHRs as a statement describing resources and conditions present in...
Difference of Spring (Apr-Jun) Precipitation (2045-2060 vs 1968-1999) simulated by RegCM3 with ECHAM5 projections as boundary conditions. Units are millimeters. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations....
Average Summer (Jul-Sep) Temperature (2015-2030) simulated by RegCM3 with ECHAM5 projections as boundary conditions. Units are degrees Celsius. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline...
Average Winter (Jan-Mar) Temperature (2045-2060) simulated by RegCM3 with GENMOM projections as boundary conditions. Units are degrees Celsius. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline...
Runoff simulated by the biogeography model MAPSS using RegCM3 climate with ECHAM5 projections as boundary conditions. Units are millimeters of water. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well as soils information (texture, depth). Based on a set of climatic thresholds, the model...
Potential Natural Vegetation Class simulated by the biogeography model MAPSS using RegCM3 climate with GFDL projections as boundary conditions. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well as soils information (texture, depth). Based on a set of climatic thresholds, the model defines...
The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees.DATA SUMMARY: The existing vegetation type (EVT) data layer represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western Hemisphere (http://www.natureserve.org/publications/usEcologicalsystems.jsp). A terrestrial ecological system is defined as a group...
This dataset shows historic change agents and disturbance types within the historic distribution of this vegetation community as mapped in the LANDFIRE Biophysical Settings (BpS v1.0) dataset. The BpS provides an estimate of the distribution of this community under pre- Euroamerican settlement reference conditions (including historic fire regimes). While based on biophysical gradients and limited training plot data, with resultant inaccuracies of prediction, the BpS provides the best available estimate of the distribution of this vegetation community. Existing vegetation classifications are inadequate for estimating the distribution of this community for the purposes of this analysis, because they only provide a...
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