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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...
This map shows risk models for invasive species within the ecoregion. Samples of invasive species are presenting -- falling within 4 categories (exotic, annual grasses, noxious forbs, and woody riparian). Bioclimate data for cheatgrass and tamarisk weed is also shown. The input dataset used for all analysis done for these models 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...
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...
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...
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,
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 model provides one view of ecological integrity for the ecoregion, based on a model of near-future landscape condition, which has been summed into the 4x4km grid cells. Anthropogenic stressors come in many forms, from regional patterns of acid deposition or climate-induced ecosystem change, to local-scale patterns in agricultural drainage ditches and tiles, point-source pollution, land-conversion, and transportation corridors, among others. To be effective, a landscape condition model needs to incorporate multiple stressors, their varying individual intensities, the combined and cumulative effect of those stressors, and if possible, some measure of distance away from each stressor where negative effects remain...
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
CBR 2010,
Central Basin and Range,
Cultural Resources,
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,
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...
Land surface forms for the conterminous United States were also generated as part of the ecosystems modeling effort (Cress and others, 2009b). After extensive investigation into various land surface form methodologies, the decision was made to use the methodology developed by the Missouri Resource Assessment Partnership (MoRAP). MoRAP made modifications to Hammond's (1964a, 1964b) land surface form classification, which allowed the use of 30-meter source data and a 1-km2 window for analyzing the data cell and its surrounding cells (neighborhood analysis) (True, 2002; True and others, 2000). While Hammond's methodology was based on three topographic variables, slope, local relief, and profile type, MoRAP's methodology...
Locations of landfills and waste transfer stations in the Central Great Basin Ecoregion taken from a larger data set of 11 western states. USGS/SAGEMAP obtained this data from state and federal agencies in GIS, tabular, and map format. The primary contact for this the source data set is Steve Hanser, USGS-FRESC, Snake River Field Station, Boise, ID Not intended for use at scales greater than 1:250000
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 theme contains raster data that depicts and ranks soils with respect to water erosion in the Central Basin and Range (CBR) Rapid Ecoregional Assessment (REA).
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,...
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,
This dataset compiles the values of Precipitation (ppt), Maximum Temperature (tmax) and Minimum Temperature (tmin) for the future (6 GCM average) in the Central Basin, as obtained using Ecoclim spatial climate data at 4km2 resolution. Each climate variable is provided for all 12 months (January through December) for 5 time slices: a 1900-1979 baseline to establish conditions from which change is measured, and then 2 current time slices of 15 years (1980-1995 and 1995-2010), and 2 future time slices for trend analysis - a decadal average of 6 GCMs for the 2020s and the 2050s. The layer contains the month of the year (CBR_jan, CBR_feb, etc), and contains: 1) the raw values of each climatic variable (Precipitation,...
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
CBR 2010,
Central Basin and Range,
Climate,
The TNC Ecoregional Portfolio Core Data Set is one of a set of Core Conservation Data Sets managed in GIS by The Nature Conservancy's network of Conservation Data Nodes. This Core Data Set will enable TNC to more effectively deliver data and products of ecoregional assessments to key conservation partners. The data set is being developed in phases. The first phase aggregates all maps of terrestrial ecoregional portfolios developed by The Conservancy across the fifty United States. Subsequent phases of this data set will include biodiversity conservation targets (species and ecosystems) and goals for their conservation, as well as adding existing freshwater and marine portfolios to the terrestrial portfolio developed...
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.
Linear feature data from BLM
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.
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