Filters: Tags: Sonoran Desert (X)
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4KM grid cell reporting units for the Sonoran Desert Ecoregion Used as analytical reporting unit for terrestrial conservation elements and terrestrial intactness.
This dataset presents the current potential distribution of Mountain Lion 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,...
This dataset approximates areas available for utility-grade solar energy development under the Solar Energy Zone Alternative of the Solar Energy Development Programmatic Environmental Impact Statement (PEIS). Refer to the Solar Energy Development PEIS for more details.
This database contains GIS datasets representing the distribution of mule deer habitat throughout the United States and Canada (Alberta and Saskatewan only). Mule deer habitat is divided into 6 separate GIS layers corresponding to 6 types of mule deer habitat: 1)limited range, 2) summer range, 3) other important habitat, 4) winter range, 5) winter concentration, and 6) year-round population. Information on mule deer limiting factors associated with each habitat type is provided within the GIS datasets. Habitat delineations were identified through a Delphi process on a state-by-state basis and were subsequently tablet-digitized from 1:250,000 scale maps.
This dataset presents the conservation element summary dataset for all areas within the ecoregion that are not covered by urban areas or special designations, limited to BLM lands. The objective of this dataset is to highlight ecologically important areas (in the context of conservation elements identified for this REA) on BLM lands that are not protected by existing special designations. See ecological integrity dataset for additional details.
5th Code HUC reporting units for the Sonoran Desert Ecoregion Used as analytical reporting units for aquatic conservation elements.
This SWR feature class was created at the request of the Water Atlas group in order to make the final maps of SWR Places of Use (POUs) and Points of Diversions (PODs) for the Water Atlas publication.
Average Summer (Jul-Sep) Precipitation (2045-2060) 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. The PRISM baseline...
4KM grid cell reporting units for the Sonoran Desert Ecoregion Used as analytical reporting unit for terrestrial conservation elements and terrestrial intactness.
4KM grid cell reporting units for the Sonoran Desert Ecoregion Used as analytical reporting unit for terrestrial conservation elements and terrestrial intactness.
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...
These data were provided by the Arizona State BLM office without appropriate metadata. Please contact Elroy Masters (emasters@blm.gov) for additional information about this dataset.
The Southwest Exotic Plant Mapping Program (SWEMP) is a collaborative effort between the United States Geological Survey and federal, tribal, state, county and NGO partners in the southwest. This project is an ongoing effort to compile and distribute regional data on the occurrence of non-native invasive plants in the southwestern United States. The database represents the known sites (represented by a point location, i.e. site) of non-native invasive plant infestations within Arizona and New Mexico, and adjacent portions of California, Colorado, Nevada and Utah. These data, collected from 1911 to 2006, represent the field observations of various state, federal, tribal and county agencies, along with some specimen...
This map shows the current distribution of this ecosystem (extracted from NatureServe Landcover and LANDFIRE EVT) and current and near-term status, and long term potential for change. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated...
These data identify, in general, the areas where the final revised critical habitat for the Peninsular bighorn sheep (Ovis canadensis nelsoni) occurs.
These data were provided by the Arizona State BLM office without appropriate metadata. Please contact Elroy Masters (emasters@blm.gov) for additional information about this dataset.
This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
Types: Downloadable;
Tags: Authorization,
BLM,
Bankhead-Jones,
Bureau of Land Management,
Bureau of Reclamation,
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
Average Winter (Jan-Mar) Temperature (2015-2030) 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...
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