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This map shows habitat connectivity compiled from multiple sources. Habitat connectivity was modeled separately in California and Arizona. 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 with these data. The BLM should be cited...
This map shows the current predicted distribution of Lucy's Warbler, along with 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 with these data. The BLM should...
This dataset shows point locations and data specific to wildlife guzzlers in Sonoran Desert ecoregion.
This dataset shows an estimate of the probability of human-caused fire occurrence, based on 30 years of occurrence data using a MaxEnt model based on several factors including distance to roads, urban areas, vegetation type, and climate. This near-term estimate is based on projecting the Maxent model developed on current climate conditions onto downscaled climate projections from RegCM3 based on ECHAM5 boundary conditions. The model performed reasonably well, with an AUC of 0.704 Significant predictive factors include distance to highways, distance to major rivers, distance to urban areas, distance to roads, and winter precipitation. Caution should be exercised in interpreting this dataset, as it is based on an...
Humans have dramatically altered wildlands in the western United States over the past 100 years by using these lands and the resources they provide. Anthropogenic changes to the landscape, such as urban expansion, construction of roads, power lines, and other networks and land uses necessary to maintain human populations influence the number and kinds of plants and wildlife that remain. We developed the map of the human footprint for the western United States from an analysis of 14 landscape structure and anthropogenic features: human habitation, interstate highways, federal and state highways, secondary roads, railroads, irrigation canals, power lines, linear feature densities, agricultural land, campgrounds, highway...
This map shows the distribution of BLM wildlife movement corridors in Arizona. 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 with these data. The BLM should be cited as the data source in any products derived from these data.
This map shows fire-adapted communities according to the LANDFIRE Fire Regime Groups dataset. These identify areas historically adapted to fire; these communities may now experience uncharacteristic fire behavior due to legacy effects of fire suppression. 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...
This map shows EPA Level IV ecoregions within the Sonoran Desert ecoregion. 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 with these data. The BLM should be cited as the data source in any products derived from these data.
This map shows areas of high potential for wind and water erosion. These areas were extracted from state geology layers, STATSGO soils, elevation, and landcover. 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 with these data....
This feature class Describes the spatial location of recreation sites within or in close proximity to an administrative unit. Recreation sites are stored in three feature classes. The feature class Recreation_Site_pt represents recreation sites so small they are displayed as points, Recreation_Site_pl represents recreation sites large enough to be represented by area features, and Recreation_Site_ln represents recreation sites that are represented by lines. Any type of recreation site may be contained in any of the feature classes but any given recreation site must be contained in only one of the three feature classes. Recreation sites are grouped hierarchically. For example, a campground may be composed of many...
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...
This dataset shows the combination of high probability areas from two Maxent models that predict human and naturally-caused fire occurrence. This long-term estimate is based on projecting the Maxent model developed on current climate conditions onto downscaled climate projections from RegCM3 based on ECHAM5 boundary conditions. Caution should be exercised in interpreting this dataset, as it is based on an association between landscape factors and the locations of fire occurrences. This dataset does not provide information about the likely outcome of a fire. See the human and naturally-caused fire occurrence datasets for more information and limitations.
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
GIS data representing Off-Highway Vehicle area designations from the 2007 BLM Lake Havasu Field Office RMP (in Arizona and California). Two new Open Areas (Standard Wash and Shea Road/Osborne Wash) are not available for unrestricted use until after further evaluation.
5th Code HUC reporting units for the Sonoran Desert Ecoregion Used as analytical reporting units for aquatic conservation elements.
This raster dataset is the result of a subtraction of the classification of raster datasets bhd2030us and bhd2000us. Both are produced using the SERGoM v3 model, they depict housing density for the coterminous US in 2030 and 2000, resp., and are based on 2000 US Census Bureau block (SF1) datasets. (The classication of the subtraction is shown below.) A raster layer that portrays not-developed (and assumed to be undevelopable) called CUS_UPP_100 depicts protected/unprotected lands and Census water polygons. First, 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 was public and/or protected in the UNPROTPRIV100...
This dataset provides an estimate of current terrestrial intactness, based on a fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness. A powerpoint version of the logic model is available at: Vector\Conservation_Elements\Terrestrial\Ecosystem\Documentation\SOD_TI_logic_models.pptx This model integrates agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious Surfaces), linear development (from BLM GTLF, utility lines, and pipelines), energy and mining development (from state mine and USGS national mines datasets, geothermal wells, and oil/gas wells), invasive vegetation (multiple sources combined for invasives...
This map layer portrays the current routes used for conducting Breeding Bird Surveys in the lower 48 States, clipped to the HUC5/ecoregion boundary for the Sonoran Desert ecoregion. The digital data sets are used to create electronic and hard copy maps of the Breeding Bird Survey routes. The data can be used to conduct geographic analysis on national and large regional scales. The data should be displayed and analyzed at scales appropriate for 1:100,000-scale data. No responsibility is assumed by the National Atlas of the United States or by USGS Patuxent Wildlife Research Center in the use of these data.
This dataset depicts watersheds (HUC5) that contain observations of lowland leopard frogs more recent than 1980. Observations were derived from data Arizona Natural Heritage program (proprietary, cannot be shared with BLM or public).
This dataset depicts developed recreation sites from the BLM Kingman Field Office. This dataset was provided directly by BLM Arizona State Office to Conservation Biology Institute (CBI) without metadata. Information contained in this dataset record was completed by CBI.
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