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This theme is polygon data that depicts two types of development for the state of Wyoming. The first is existing development and the second are habitats where there is a high likelihood that development will occur in the near future. We considered development of oil, gas and coal bed methane, mining of minerals (trona, uranimum, coal, and bentonite), urban expansion. Other infrastructure activities such as roads, highways, fiberoptic lines, processing plants, pipelines, other facilities, and various combinations of development that were believed to impact sage-grouse were recorded. Information sources and assessment processes varied depending on data available and resource specialist participation for areas within...
The Integrated Rangeland Fire Management Strategy (hereafter Strategy, DOI 2015) outlined the need for coordinated, science-based adaptive management to achieve long-term protection, conservation, and restoration of the sagebrush (Artemisia spp.) ecosystem. A key component of this management approach is the identification of knowledge gaps that limit implementation of effective strategies to meet current management challenges. The tasks and actions identified in the Strategy address several broad topics related to management of the sagebrush ecosystem. This science plan is organized around these topics and specifically focuses on fire, invasive plant species and their effects on altering fire regimes, restoration,...
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This dataset contains landscape-scale greater sage-grouse Preliminary General Habitat. Specifically, it represents the remaining Sagebrush, Perennial grassland, Conifer encroachment, and some Persistence greater than 25% not accounted for in the 2012 Preliminary Priority Habitat dataset (Version 2 - April 2012). A combination of Key Habitat (Sather-Blair et al., 2000; ISAC 2006; BLM 2012), important winter and breeding habitat, local priority areas (spatially identified by the local working groups, BLM, IDFG biologists), known migration movement corridors, the revised 2011PA polygons, and exclusion of modeled agricultural and timber lands were used to further refine the 2012 Preliminary Priority Habitat (PPH) and...
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Sage-grouse core areas are habitats associated with 1) Montana's highest densities of sage-grouse (25% quartile), based on male counts and/or 2) sage-grouse lek complexes and associated habitat important to sage-grouse distribution. The data are intended for display of sage grouse core areas in Montana. The data are intended for initial resource review and conservation planning. For evaluating or reviewing site specific applications Montana Fish, Wildlife & Parks (FWP) recommends contacting the appropriate FWP Regional office. These are the Montana SageGrouse Core Areas 2010 polygons for Idaho-SW Montana Greater Sage Grouse Subregion. Areas that overlap into Idaho do not apply to Idaho and may represent difference...
Emerging applications of ecosystem resilience and resistance concepts in sagebrush ecosystems allow managers to better predict and mitigate impacts of wildfire and invasive annual grasses. Soil temperature and moisture strongly influence the kind and amount of vegetation, and consequently, are closely tied to sagebrush ecosystem resilience and resistance (Chambers et al. 2014, 2016). Soil taxonomic temperature and moisture regimes can be used as indicators of resilience and resistance at landscape scales to depict environmental gradients in sagebrush ecosystems that range from cold/cool-moist sites to warm-dry sites. We aggregated soil survey spatial and tabular data to facilitate broad-scale analyses of resilience...
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Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. HABITAT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD. 2) Moderate > 0.5 and < 1.0 SD. 3)...
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These connectivity areas correspond to the Version 3 core areas in Wyoming. They are closely linked to the core areas but are NOT core.
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Greater sage-grouse population components devrived using an 18-km maximum connection distance. Analysis was conducted using the CONEFOR SENSINODE 2.2 software package and this dataset was developed from lek data obtained from the state wildlife agencies. Components containing < 5 leks have been removed in order to protect the location of single or small groups of leks.
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Boundary of the conservation assessment of Greater Sage-grouse and sagebrush habitat conducted by the Western Association of Fish and Wildlife Agencies. The boundary is derived from the pre-settlement distribution of the Sage-grouse (Schroeder et al., 2004, Condor 106:363-376).
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This polygon data set represents all sage-grouse Priority Areas for Conservation (PACs) identified in the 2013 Greater Sage-Grouse Conservation Objectives Team (COT) Report. PACs represent areas identified as essential for the long-term conservation of the sage-grouse. The COT determined that the PACs are key for the conservation of the species range wide. PAC polygons were provided by States. This data set has merged all State PACs together and cleaned up the polygons by filling in small gaps along state borders, closing any holes less than 10 acres, and removing any polygons less than 10 acres. This cleaning reduced noise in the data. PACs were then split by population using the ‘GRSG_2015_USFWS_StatusReview_Populations’...
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Values represent percent of surrounding landscape (5K) are dominated by sagebrush cover. Reclassified LANDFIRE 2013 Existing Vegetation Type by selecting the ecological systems containing sagebrush (Codes: 2080, 2125, 2126, 2220, 2064, 2072, 2079, 2124) to create a binary raster dataset with 1 for the sagebrush land cover types and zero for all others.To incorporate sagebrush lost to fire in fires since the Landsat was flown in 2010 that Landfire was derived from, I used fire perimeters from 2011,2012, & 2013 to reclassify pixels designated as having sagebrush as 0 (not having sagebrush), which assumes a homogenous burn (in reality there may be patches of sagebrush left within a burn perimeter). I then ran focalsum...
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In general, we applied logistic regression model on 8,000 ± field sites, and used GIS models to map the probability of the presence of 12 Sagebrush species in Wyoming, which include: Low Sagebrush (Artemisia arbuscula ssp arbuscula), Plain Silver sagebrush (Artemisia cana ssp cana ), Mountain Silver sagebrush (Artemisia cana ssp viscidula), Fringed sage (Artemisia frigida), Early Sagebrush (Artemisia arbuscula ssp longiloba), Black sagebrush (Artemisia nova), Birds foot sage (Artemisia pedatifida), Mountain Big sagebrush (Artemisia tridentata ssp vaseyana), Basin Big sagebrush (Artemisia tridentata ssp tridentata), Wyoming Big Sagebrush (Artemisia tridentata ssp wyomingensis), Wyoming Three tip sagebrush (Artemisia...
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This data set contains landscape-scale greater sage-grouse Preliminary Priority Habitat. A combination of Key Habitat (Sather-Blair et al., 2000; ISAC 2006; BLM 2012), important winter and breeding habitat, local priority areas (spatially identified by the local working groups, BLM, IDFG biologists), known migration movement corridors, the revised 2011PA polygons, and exclusion of modeled agricultural and timber lands were used to further refine the 2012 Preliminary Priority Habitat (PPH) boundaries. PPH includes three categories: 1)Sagebrush, and two priority restoration areas - (2) Perrennial grasslands, and (3) Conifer encroachment areas (see below). Specific information on methodology, etc. can be found in the...
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This metadata references the polygonal ARC/INFO GIS cover showing the current and historic distribution of potential habitat, or range, of the Greater Sage-grouse (Centrocercus urophasianus) and Gunnison Sage-grouse (Centrocercus minimus) in Western North America. This data was initially researched and compiled by Dr. Michael A. Schroeder, research biologist for the Washington State Department of Fish and Wildlife. The initial draft of current and historic range data was mapped and submitted to state, federal, or provincial natural resource agencies and other experts for review, comment, and editing. The final product represents the best available science and expert review available at the time of compilation.Definition...
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This metadata references the polygonal ARC/INFO GIS cover showing the current and historic distribution of potential habitat, or range, of the Greater Sage-grouse (Centrocercus urophasianus) and Gunnison Sage-grouse (Centrocercus minimus) in Western North America. This data was initially researched and compiled by Dr. Michael A. Schroeder, research biologist for the Washington State Department of Fish and Wildlife. The initial draft of current and historic range data was mapped and submitted to state, federal, or provincial natural resource agencies and other experts for review, comment, and editing. The final product represents the best available science and expert review available at the time of compilation.Definition...
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Superseded by the GRSG 2015 USFWS Status Review Base Data Population dataset. This layer produced through collaborative work done by the 2012 Sage-Grouse Conservation Objectives Team (COT). The COT consisted of State and FWS representatives tasked with developing conservation objectives by defining the degree to which the threats to Sage-Grouse need to be ameliorated to conserve the Sage-Grouse so that it is no longer in danger of extinction or likely to become in danger of extinction. This data layer represents Sage-Grouse populations as defined by the COT. Population polygons provide a general identification of important areas for Sage-Grouse across its range. The population polygons originated from the Schroder,...
Emerging applications of ecosystem resilience and resistance concepts in sagebrush ecosystems allow managers to better predict and mitigate impacts of wildfire and invasive annual grasses. Soil temperature and moisture strongly influence the kind and amount of vegetation, and consequently, are closely tied to sagebrush ecosystem resilience and resistance (Chambers et al. 2014, 2016). Soil taxonomic temperature and moisture regimes can be used as indicators of resilience and resistance at landscape scales to depict environmental gradients in sagebrush ecosystems that range from cold/cool-moist sites to warm-dry sites. We aggregated soil survey spatial and tabular data to facilitate broad-scale analyses of resilience...
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Emerging applications of ecosystem resilience and resistance concepts in sagebrush ecosystems allow managers to better predict and mitigate impacts of wildfire and invasive annual grasses. Soil temperature and moisture strongly influence the kind and amount of vegetation, and consequently, are closely tied to sagebrush ecosystem resilience and resistance (Chambers et al. 2014). Soil taxonomic temperature and moisture regimes can be used as indicators of resilience and resistance at landscape scales to depict environmental gradients in sagebrush ecosystems that range from cold/cool-moist sites to warm-dry sites. We aggregated soil survey spatial and tabular data to facilitate broad-scale analyses of resilience and...
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SPACE USE INDEX CALCULATION Lek coordinates and associated trend count data were obtained from the 2013 Nevada Sage-grouse Lek Database compiled by the Nevada Department of Wildlife (NDOW, S. Espinosa, 9/10/2013). We queried the database for leks with a ‘LEKSTATUS’ field classified as ‘Active’ or ‘Pending’. Active leks comprised leks with breeding males observed within the last 5 years. Pending leks comprised leks without consistent breeding activity during the prior 3 – 5 surveys or had not been surveyed during the past 5 years; these leks typically trended towards ‘inactive’. A sage-grouse management area (SGMA) was calculated by buffering Population Management Units developed by NDOW by 10km. This included leks...
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In 'Simulation to evaluate response of population models to annual trends in detectability', we provide data and R code necessary to create simulation scenarios and estimate trends with different population models (Monroe et al. 2019). Literature cited: Monroe, A. P., G. T. Wann, C. L. Aldridge, and P. S. Coates. 2019. The importance of simulation assumptions when evaluating detectability in population models. Ecosphere 10(7):e02791. 10.1002/ecs2.2791, http://onlinelibrary.wiley.com/doi/10.1002/ecs2.2791/full.


map background search result map search result map Sagegrouse Developed Habitat for Wyoming at 1:24,000 Presence Probability of Sagebrush in Wyoming Wyoming Sage-Grouse Connectivity Areas Greater Sage-Grouse Preliminary General Habitat (Version 2, April 2012) for Idaho Greater Sage-Grouse Preliminary Priority Habitat (Version 2, April 2012) for Idaho SW Montana Greater Sage-grouse Core Areas Sage-grouse population boundaries (from the Conservation Objectives Team Report) Historic GSG Range Dataset: Sagebrush MW5k Percent Sage-grouse Conservation Assessment Boundary Distribution of the Sage-grouse in North America Sage Grouse Lek Components (2003-2007) Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Space Use Index (SUI) for the Greater Sage-grouse in Nevada and NE California (August 2014) Greater Sage-Grouse 2015 USFWS Status Review PACs Simulation to evaluate response of population models to annual trends in detectability Wyoming Sage-Grouse Connectivity Areas SW Montana Greater Sage-grouse Core Areas Presence Probability of Sagebrush in Wyoming Greater Sage-Grouse Preliminary Priority Habitat (Version 2, April 2012) for Idaho Greater Sage-Grouse Preliminary General Habitat (Version 2, April 2012) for Idaho Space Use Index (SUI) for the Greater Sage-grouse in Nevada and NE California (August 2014) Sagegrouse Developed Habitat for Wyoming at 1:24,000 Simulation to evaluate response of population models to annual trends in detectability Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Sage-grouse population boundaries (from the Conservation Objectives Team Report) Sage Grouse Lek Components (2003-2007) Greater Sage-Grouse 2015 USFWS Status Review PACs Historic GSG Range Sage-grouse Conservation Assessment Boundary Distribution of the Sage-grouse in North America Dataset: Sagebrush MW5k Percent