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Subset of wetlands within the Wyoming Basin REA Project area which are not lake, riverine, or river wetland types compiled from National Wetlands Inventory data from the five states in the project area. 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...
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To map the baseline distribution of sagebrush steppe, we included all sagebrush LANDFIRE Existing Vegetation Types (EVT) except for mountain big sagebrush, which is included in the foothill shrublands and woodlands community. We also included adjacent, low elevation (less than 2,600 m) grassland areas, which include postfire sagebrush steppe classified as grasslands and prairie grasslands that occur within the project buffer. All grassland EVT cells within a 210m radius buffer that were dominated by sagebrush steppe were included in the sagebrush steppe community. 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...
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This map summarizes information presented in the other chapters of the report, including background information on the Bureau of Land Management and Rapid Ecoregional Assessments (REAs), and the REA components that are addressed by the Wyoming Basin REA. In addition, we provide two-page summaries for each Change Agent (development, invasive species, fire, and climate change) and Conservation Element (species and communities) assessed by the Wyoming Basin REA. The REA?s provide an assessment of 1) baseline conditions for long-term monitoring of broad-scale conditions and trends; 2) landscape-level intactness of ecological communities, habitats for priority species, and the ecoregion overall; and 3) a predictive capacity...
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General habitat model for golden eagles using MaxEnt software, Phillips and others, 2006. Values of vegetation and abiotic variables at 218 mapped golden eagle locations, with nest locations provided by Colorado Natural Heritage Program, Idaho Fish and Wildlife Information System, Montana Natural Heritage Program, Rocky Mountain Bird Observatory, Utah Natural Heritage Program, and the Wyoming Natural Diversity Database, since 1990 were derived from data from SAGEMAP, Hanser and others, 2011, Homer and others, 2012, USGS, and WorldClim. Variables with the greatest weight included slope, topographic ruggedness, herbaceous cover, elevation, and annual mean temperature. The map of potential golden eagle habitat was...
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To map the distribution of mountain and subalpine forests and alpine zones, we included Douglas fir, ponderosa pine woodlands, lodgepole pine, spruce and fir, and all alpine LANDFIRE Existing Vegetation Types, EVT. Mountain slope aspen, see Chapter 15 Fig 2, and all grassland EVTs above 2,900 m also were 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...
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Developed a general habitat model for pygmy rabbits using MaxEnt software, Phillips and others, 2006. Values of vegetation and abiotic variables at 3,066 mapped pygmy rabbit locations, provided by Wyoming Natural Diversity Database, since 1990 were derived from data from SAGEMAP, Hanser and others, 2011, Homer and others, 2012, USGS, and WorldClim. Variables with the greatest weight included the average temperature of the coldest quarter, sagebrush cover, annual mean temperature, and the percent of sand in the soil. The map of potential pygmy rabbit habitat was based on MaxEnt parameter values that included 95 percent of the locations; omission rate of 5 percent. For additional details see the Wyoming Basin Rapid...
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To map the baseline distribution of foothill shrublands and woodlands, we included LANDFIRE Existing Vegetation Types, EVT, corresponding to mountain big sagebrush , mountain shrublands, which are predominantly mountain mahogany and scrub oak, ponderosa pine savannahs, and juniper woodlands. We also included the foothill aspen functional type, see Ch15_Fig2_Aspen_Distribution, and grassland EVT cells between 2,600 m and 2,900 m. For additional details see the Wyoming Basin Rapid Ecoregional Assessment Open File Report Appendix. 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...
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General habitat model for Brewer's sparrow using repeat visit survey data collected in Wyoming as part of the Integrated Monitoring in Bird Conservation Regions program, White and others, 2013, between 2009 and 2012. A suite of occupancy modles with different environmental covariates were evaluated using program MARK, White and Burnham, 1999, and the top model for each species was used to model the breeding distribution. The map of suitable habitat was based on parameter values that included 90 percent of the locations; omission rate of 10 percent. This omission rate minimized commission errors based on a comparison with independent datasets from Idaho Fish and Game, Montana Natural Heritage Program, Utah Natural...
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General habitat model for ferruginous hawks using MaxEnt software, Phillips and others, 2006. Values of vegetation and abiotic variables at 598 mapped ferruginous hawk locations, with nests and observations of individual birds provided by Colorado Natural Heritage Program, Idaho Fish and Wildlife Information System, Montana Natural Heritage Program, Rocky Mountain Bird Observatory, Utah Natural Heritage Program, and the Wyoming Natural Diversity Database, since 1990 were derived from data from SAGEMAP, Hanser and others, 2011, Homer and others, 2012, USGS, and WorldClim. Variables with the greatest weight included topographic ruggedness, elevation, the average temperature of the warmest quarter, and slope. The map...
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To map the baseline distribution of riparian forest and shrublands, we all included LANDFIRE Existing Vegetation Types (EVT) where the type contained the word "riparian", "woodland", "ravine" and "swamp". We also included aspen woodlands at elevations below 1524 m using ReGAP values, as these areas, upon inspection were found to be introduced vegetation and not aspen. 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,...
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Delineated two aspen functional types, foothill and mountain slope aspen. Foothill aspen occurs at lower elevations, typically less than 2,621 m, within a matrix of sagebrush and other shrubs. Mountain slope aspen occurs across broad elevations from the toe slope to upper subalpine zones, where it intermixes with conifer species. LANDFIRE Existing Vegetation Types (EVT) includes two aspen EVT Rocky Mountain Aspen Forest and Woodland and Intermountain Basin Aspen and Mixed Conifer Forest and Woodland, which overlapped broadly in elevation and were not sufficient for use in distinguishing aspen functional types. Proximity analysis was used to delineate the two functional types. Because higher elevation aspen typically...
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The spatial context of invasions is increasingly recognized as important for the success and efficiency of management actions. This information can be key for managing invasive grasses that threaten native ecosystems. We calculated landscape metrics and circuit-based centrality for invasive grasses using a source input raster of weighted-average annual herbaceous cover from 2016-2018 (Maestas et al. 2020, 30 meter resolution) in the Great Basin, USA. This shapefile data product includes the summarized landscape metrics and connectivity metrics for 15 kilometer grid cells (n = 2408) across the Great Basin, USA. Metrics for each grid cell include: mean patch area (area_mn), class area (ca), number of patches (np),...
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This raster dataset quantifies the relative flow patterns of structural sagebrush connectivity in the sagebrush biome at 270-meter resolution. Connectivity was calculated using an omnidirectional circuit-based algorithm, with sources, targets, and conductance based on sagebrush fractional component from the RCMAP sagebrush products for 1985, 1990, 1995, 2000, 2005, 2010, 2015, and 2020. Normalized cumulative current density was used to represent relative flow of connectivity and binned into 3 relative flow classes (impeded, diffuse, and channelized flow). We calculated the relative flow temporal trends for channelization and impedance between 1985 and 2020 to identify areas that were becoming more channelized or...
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This raster dataset quantifies the structural sagebrush connectivity in the sagebrush biome at 270-meter resolution. Connectivity was calculated using an omnidirectional circuit-based algorithm, with sources, targets, and conductance based on sagebrush fractional component from the RCMAP sagebrush products for 1985, 1990, 1995, 2000, 2005, 2010, 2015, and 2020. Cumulative current density was used to represent connectivity and binned into 20 quantile-based classes.
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This map summarizes information presented in the other chapters of the report, including background information on the Bureau of Land Management and Rapid Ecoregional Assessments (REAs), and the REA components that are addressed by the Wyoming Basin REA. In addition, we provide two-page summaries for each Change Agent (development, invasive species, fire, and climate change) and Conservation Element (species and communities) assessed by the Wyoming Basin REA. The REA?s provide an assessment of 1) baseline conditions for long-term monitoring of broad-scale conditions and trends; 2) landscape-level intactness of ecological communities, habitats for priority species, and the ecoregion overall; and 3) a predictive capacity...
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To map the baseline distribution of desert shrublands, we included all associated LANDFIRE Existing Vegetation Types (EVT). We also included adjacent, low elevation (less than 2,600 m) grassland areas, which include post fire desert shrublands classified as grasslands and prairie grasslands that occur within the project buffer. All grassland EVT cells within a 210 m buffer that were dominated by desert shrublands were included in the desert shrublands community. For additional details see the Wyoming Basin Rapid Ecoregional Assessment Open File Report Appendix. 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...
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Rivers and streams are comprised of flowlines selected from the National Hydrography Flowline Dataset Medium. 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...
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Rivers and streams are comprised of flowlines selected from the National Hydrography Flowline Dataset Medium. 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...
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General habitat model for the spadefoot assemblage using MaxEnt software, Phillips and others, 2006. Values of vegetation and abiotic variables at 105 mapped spadefoot locations, provided by the Colorado Natural Heritage Program, Montana Natural Heritage Program and Wyoming Natural Diversity Database, since 1990 were derived from data from SAGEMAP, Hanser and others, 2011, USGS, and WorldClim. Variables with the greatest weight included elevation, conifer forest cover, slope, and the percent riparian vegetation. The map of potential spadefoot habitat was based on MaxEnt parameter values that included 95 percent of the locations; omission rate of 5 percent. These data are provided by Bureau of Land Management (BLM)...
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The five needle pine (Limber and Whitebark) distribution was compiled from numerous data sources. The limber pine source distribution data compiled the Original Gap (ftp.gap.uidaho.edu) data (Note Utah does not have an explicit Limber pine class) and USDA Forest Service Individual Tree Species Parameter Maps (personal communication by Jim Ellenwood and Vern Thomas) as described at http://www.fs.fed.us/foresthealth/technology/remote_sensing.shtml. Limber pine (greater than 1 basal area). There is one large patch in SW Wyoming where original GAP data falsely identified limber pine (commission error) per Bob Means, BLM Wyoming State Forester. To address this commission error, these areas were replaced with ReGAP (codes...


map background search result map search result map BLM REA WYB 2011 Ch22 Spadefoot BLM REA WYB 2011 Ch08 Streams and Rivers Distribution Figs 10 to 17 BLM REA WYB 2011 Ch03 Overview Synthesis Part 3 BLM REA WYB 2011 Ch10 Riparian BLM REA WYB 2011 Ch12 Desert Shrublands BLM REA WYB 2011 Ch09 Wetlands BLM REA WYB 2011 Ch25 Ferruginous Hawk BLM REA WYB 2011 Ch24 Golden Eagle BLM REA WYB 2011 Ch03 Overview Synthesis Part 4 BLM REA WYB 2011 Ch13 Foothills BLM REA WYB 2011 Ch14 Montane Subalpine BLM REA WYB 2011 Ch27 Pygmy Rabbit BLM REA WYB 2011 Ch11 Sagebrush Steppe BLM REA WYB 2011 Ch16 Five Needle Pine BLM REA WYB 2011 Ch08 Streams and Rivers Distribution Figs 01 to 09 BLM REA WYB 2011 Ch26 Sagebrush Songbirds BLM REA WYB 2011 Ch15 Aspen Landscape and connectivity metrics based on invasive annual grass cover from 2016-2018 summarized at 15 kilometer grid cells in the Great Basin, USA Time series of circuit-based relative flow patterns for sagebrush structural connectivity from 1985 to 2020 Time series of circuit-based sagebrush structural connectivity from 1985 to 2020 Landscape and connectivity metrics based on invasive annual grass cover from 2016-2018 summarized at 15 kilometer grid cells in the Great Basin, USA BLM REA WYB 2011 Ch26 Sagebrush Songbirds BLM REA WYB 2011 Ch27 Pygmy Rabbit BLM REA WYB 2011 Ch09 Wetlands BLM REA WYB 2011 Ch03 Overview Synthesis Part 3 BLM REA WYB 2011 Ch22 Spadefoot BLM REA WYB 2011 Ch25 Ferruginous Hawk BLM REA WYB 2011 Ch24 Golden Eagle BLM REA WYB 2011 Ch03 Overview Synthesis Part 4 BLM REA WYB 2011 Ch13 Foothills BLM REA WYB 2011 Ch14 Montane Subalpine BLM REA WYB 2011 Ch16 Five Needle Pine BLM REA WYB 2011 Ch08 Streams and Rivers Distribution Figs 01 to 09 BLM REA WYB 2011 Ch15 Aspen BLM REA WYB 2011 Ch11 Sagebrush Steppe BLM REA WYB 2011 Ch08 Streams and Rivers Distribution Figs 10 to 17 BLM REA WYB 2011 Ch12 Desert Shrublands BLM REA WYB 2011 Ch10 Riparian Time series of circuit-based relative flow patterns for sagebrush structural connectivity from 1985 to 2020 Time series of circuit-based sagebrush structural connectivity from 1985 to 2020