Filters: Tags: Central Basin and Range (X)
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This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings.
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 theme contains raster data that depicts the total amount of sand in soils for the Central Basin & Range (CBR) Mojave Basin and Range (MBR) Rapid Ecoregional Assessment (REA).
These life history accounts and range maps represent updated versions of the species information in the three-volume set "California's Wildlife" edited by Zeiner, D.C. et al 1988-1990. There are also accounts for 48 more species here than in the original publication, bringing the total up to 694. The information was prepared under contract with the best available experts for various taxonomic groups. Authors and reviewers names appear on the individual life history accounts. Accounts were initially edited by Marshall White and, in later years, by California Wildlife Habitat Relationships (CWHR) Program staff with the California Department of Fish and Game. Update dates are noted on individual life history accounts....
This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings.
Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
This dataset was derived from 'NatureServe L48 ESLF V2.7'. See process steps for additional information. 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...
Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire regime models with predicted changes in climate envelopes provides a clearer understanding of how these ecological systems are likely to respond to multiple stresses. The natural range of variability for each CE was initially derived from LANDFIRE Vegetation Dynamics Development Tool (VDDT) models. The VDDT allows for the development of probabilistic quantitative model of CEs consisting of multiple ecological states with both deterministic and probabilistic drivers. For any defined suite of drivers, the models predict the relative abundance of each state within a defined...
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
CBR 2010,
Central Basin and Range,
Climate,
Scorecard analysis for terrestrial conservation elements and landscape condition. The landscape condition score represents area weighted mean value based upon the combined count and condition score. sum(count*score) / sum(count) *where count equals the cell count and score is the condition value. NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at...
This dataset is a raster of current predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average). 0=Absence; 1=Presence*see Maxent output pdf for details on model parameters.
This dataset represents the probability of occurrence for the carbonate alpine species assemblage within the Central Great Basin and Mohave Basin Ecoregion. This model represents the composite of multiple cross-validated inductive (Maximum Entropy) models of species distributions using non-spectral landscape variables. Input Variables: Geology, digital elevation model, distance to calcium carbonate soils, NatureServe's ecological systems map, soil pH, available water holding capacity, slope, and aspect. Classification Model: 1 - High Habitat Potential NoData - Very Low Habitat Potential or "Non-Habitat"
This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings.
This layer represents lines which have been proposed (per the requirements of Section 368 of the Energy Policy Act of 2005) as West-wide energy corridor centerlines for the final "Programmatic Environmental Impact Statement, Designation of Energy Corridors on Federal Land in the 11 Western States", November 2008. The layer was intersected with surface management agency, BLM field office, and state layers to add more tabular attributes.
In addition to current distribution of each bird species, this map shows their current and near-term status within the ecoregion. Current, Long-term, and summary bioclimate data is also include for several of these bird species. The input datasets used in the distribution model are also included. 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...
In addition to current distribution of each mammal species, this map shows their current and near-term status within the ecoregion. Current, long-term, and summary bioclimate data is also include for several of these mammal species. The input datasets used in the distribution model are also included. 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...
The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). Previously, NLCD consisted of three major data releases based on a 10-year cycle. These...
NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at broader scales The layer represents the scorecard of multiple indicator values of ecosytem/species integrity. Individual layers for ecosystems may have representitive values of change in extent, landscape condition, landscape connectivity, Fire Regime Departure, or invasive annual grass risk. Not...
Greater Sage Grouse range-wide breeding density at 75% (BreedingDensity75) of breeding population. ESRI file geodatabase of greater sage-grouse (Centrocercus urophasianus) range-wide breeding densities at 25% (BreedingDensity25), 50% (BreedingDensity50), 75% (BreedingDensity75) and 100% (BreedingDensity100) of breeding population. The objective of this BLM project is to map high breeding densities of greater sage-grouse for use in conservation planning. This completion report provides two deliverables: 1) The analytical framework for evaluating options on where partners can deliver actions that will yield the highest return on their conservation investment, and 2) The GIS shapefiles delineating high breeding densities...
We analyzed 12 indicators of ecological integrity and 2 Key Ecological Attributes (KEA) to assess the current status of the Aquatic Course Filter Conservation Elements. The indicators used were: 1) Riparian Corridor Fragmentation, 2) Landscape Condition Model Index, 3) Perennial Flow Network Fragmentation by Dams, 4) Surface Water Use/Discharge Ratio, 5) Ground Water Use/Discharge Ratio, 6a) Perennial Flow Modification by Diversion Structures, 6b) Flow Modification by Dams, 7) Condition of Groundwater Recharge Zone, 8a) Atmospheric Deposition-Nitrate Loading , 8b) Atmospheric Deposition--Toxic Mercury Loading, 9) State-Listed Water Quality Impairments, 10) Sediment Loading Index, 11) Presence of Invasive Plant Species,...
We analyzed 12 indicators of ecological integrity and 2 Key Ecological Attributes (KEA) to assess the current status of the Aquatic Course Filter Conservation Elements. The indicators used were: 1) Riparian Corridor Fragmentation, 2) Landscape Condition Model Index, 3) Perennial Flow Network Fragmentation by Dams, 4) Surface Water Use/Discharge Ratio, 5) Ground Water Use/Discharge Ratio, 6a) Perennial Flow Modification by Diversion Structures, 6b) Flow Modification by Dams, 7) Condition of Groundwater Recharge Zone, 8a) Atmospheric Deposition-Nitrate Loading , 8b) Atmospheric Deposition--Toxic Mercury Loading, 9) State-Listed Water Quality Impairments, 10) Sediment Loading Index, 11) Presence of Invasive Plant Species,...
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