Filters: Tags: Greater Sage-Grouse (X)
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This dataset was created for the GRSG National Planning Effort from the 2008 BLM Land Health spreadsheet. Sherm Karl edited this spreadsheet to indicate those allotments in which a land health evaluation has not yet been done. These allotments were then joined to the GSSP National Allotment database on 6/28/12. Of the 10623 allotment records from the spreadsheet, 158 were not able to be mapped. Data Assumption notes: Sherm Karl - We can only assume the data are as current as 2007. Additional allotments have been assessed since then, but we do not have this information in a national data set, so we should date this as the 2008 assessment. Also, here are some assumptions I made regarding allotments that have more...
This map presents limiting factors for greater sage grouse for an area in the northern part of the ecoregion. This was used for the Sage Grouse insert in the final report. 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...
This map shows the potential current distribution of greater sage grouse, in the context of current and near-term terrestrial intactness and long-term potential for climate change and energy development. 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...
Greater sage-grouse key ecological attributes (burn probability, distance to transmission lines, agriculture, etc) were added together to determine an overall score for the analysis unit within the greater sage-grouse PPH.
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
Cumulative Indicator Score,
DOI,
Geospatial,
This data, grsg_lcp_ThiessenPoly_mst5, is one of five hierarchical delineations of greater sage-grouse population structure. The data represent Thiessen polygons of graph constructs (least-cost path minimum spanning tree [LCP-MST]) that defined our population structure of sage-grouse breeding sites in the western United States. This data was developed by applying dispersal and genetic rules to decompose the fully connected population structure (graph) into the product presented here. Understanding wildlife population structure and connectivity can help managers identify conservation strategies, as structure can facilitate the study of population changes and habitat connectivity can provide information on dispersal...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Centrocercus urophasianus,
Colorado,
Idaho,
Montana,
This data, grsg_lcp_ThiessenPoly_mst2, is one of five hierarchical delineations of greater sage-grouse population structure. The data represent Thiessen polygons of graph constructs (least-cost path minimum spanning tree [LCP-MST]) that defined our population structure of sage-grouse breeding sites in the western United States. This data was developed by applying dispersal and genetic rules to decompose the fully connected population structure (graph) into the product presented here. Understanding wildlife population structure and connectivity can help managers identify conservation strategies, as structure can facilitate the study of population changes and habitat connectivity can provide information on dispersal...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Centrocercus urophasianus,
Colorado,
Idaho,
Montana,
Sagebrush (Artemisia spp.)-dominated shrublands are one of the most widespread ecosystems in western North America but also among the most imperiled due to interactions among land use, fire, and exotic plants. Global climate change models predict an accelerated loss of sagebrush due to synergistic feedbacks among disturbance patterns and vegetation response; only 20% would remain under the most extreme scenario of >6 C increase by the end of this century (Fig. 1). Much of the current sagebrush distribution within the Great Northern Landscape Conservation Cooperative (GNLCC) would be lost. The conservation status of Greater sage-grouse (Centrocercus urophasianus), the most visible of >350 plant and wildlife species...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CO-3,
Climate Change,
Colorado,
Colorado,
Columbia Basin,
Abstract (from http://www.aimspress.com/aimses/ch/reader/view_abstract.aspx?doi=10.3934/environsci.2015.2.203): Contemporary pressures on sagebrush steppe from climate change, exotic species, wildfire, and land use change threaten rangeland species such as the greater sage-grouse (Centrocercus urophasianus). To effectively manage sagebrush steppe landscapes for long-term goals, managers need information about the potential impacts of climate change, disturbances, and management activities. We integrated information from a dynamic global vegetation model, a sage-grouse habitat climate envelope model, and a state-and-transition simulation model to project broad-scale vegetation dynamics and potential sage-grouse habitat...
Categories: Publication;
Types: Citation;
Tags: Birds,
Drought, Fire and Extreme Weather,
Fire,
Forests,
Grasslands and Plains,
We produced 13 hierarchically nested cluster levels that reflect the results from developing a hierarchical monitoring framework for greater sage-grouse across the western United States. Polygons (clusters) within each cluster level group a population of sage-grouse leks (sage-grouse breeding grounds) and each level increasingly groups lek clusters from previous levels. We developed the hierarchical clustering approach by identifying biologically relevant population units aimed to use a statistical and repeatable approach and include biologically relevant landscape and habitat characteristics. We desired a framework that was spatially hierarchical, discretized the landscape while capturing connectivity (habitat...
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