Filters: Tags: MBR 2010 (X)
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Environmental variable that represents the distance to highly alkaline soils in the MBR Ecoregion.
This dataset contains points that represent known locations important for aquatic recreation, including marinas and boat ramps.
Scorecard analysis for terrestrial conservation elements and Invasive Annual Plant Species. The annual grass index represents a summary score for a CE based upon the amount of the CE itersecting the annual grass model. The summary score is a weighted mean using the following formula. ((C0*0.5+C1*0.05+C2*0.05+C3+0.1+C4*0.1+C5*0.15)/Total Count)/0.5 *where C is the cell count by category. 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...
USGS Elevation
This simple assessment layer is used to answer management questions (MQs) about which high biodiversity sites (HBS) will experience significant climate change in the near future scenario in the Mojave Basin and Range Ecoregion. This is a basic intersect of areas that will likely experience significant climate change effects with the areas that have been identified by previous 3rd party analyses as having extraordinary biodiversity. It does not model actual response or condition of the HBS to climate change. Nearly all HBS in the ecoregion will experience significant effects according to the criteria that were selected. The climate space trends data layer was used to ascertain areas of significant climate changes....
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,...
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 dataset represents the probability of occurrence for the azonal carbonate rock crevices 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: NatureServe's Ecological systems map, soil pH, distance to calcium carbonate soils, elevation, slope, geology, distance to hydric soils, distance to perennial streams, distance to intermittent streams, average rock fragments in soil, aspect, and available water holding capacity. Classification Model: 1 - High Habitat Potential NoData - Very Low Habitat Potential or "Non-Habitat"
This data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully...
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 layer represents the near-future scorecard of one indicator of ecosytem integrity. This ecosystem assessment is for projected 2025 landscape condtion (LCM). 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. Please see "cmbrCE and indicators.xlsx" for a complete list of which measures were applied to individual CEs for current...
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 data set contains distribution information for all terrestrial and aquatic reptiles, crocodilians, and turtles occurring in the United States and Canada.
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 data set contains distribution information for all terrestrial and aquatic reptiles, crocodilians, and turtles occurring in the United States and Canada.
This dataset is a raster summarizing the change in suitable bioclimate by looking at the difference between current and A2 2050s. Value coding:-3 = Lost bioclimate; 0 = absence (current and future); 1= maintained bioclimate; 4 = gained bioclimate
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 is a 100-meter cell resolution raster of estimated use of public supply water for the southwestern United States. The dataset was generated from 1:100,000-scale county boundary data, 2005 LandScan population data, and USGS estimated use of water in the United States in 2000.
Scorecard analysis for terrestrial conservation elements and near-future 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...
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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