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This data, grsg_lcp_ThiessenPoly_mst3, 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...
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This data set defines boundaries of oil and gas project areas, greater sage-grouse (Centrocercus urophasianus) core areas, and non-core and non-project areas within the Wyoming Landscape Conservation Initiative (WLCI; southwestern Wyoming). Specifically, the data represents results from the manuscript “Combined influences of future oil and gas development and climate on potential Sage-grouse declines and redistribution” for low oil and gas development, high population size, and no climate component. The oil and gas development scenario were based on an energy footprint model that simulates well, pad, and road patterns for oil and gas recovery options that vary in well types (vertical and directional) and number...
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wy_lvl6_coarsescale: Wyoming hierarchical cluster level 6 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
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nv_lvl2_finescale: Nevada hierarchical cluster level 2 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
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nv_lvl7_coarsescale: Nevada hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
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Indices of habitat suitability and animal abundance provide useful proxy-based measures adaptive management (Coates et al. 2015a). Doherty et al. (in review) derived a range-wide population index model for sage-grouse using such indices that incorporated sage-grouse habitat suitability generated from Random Forest models (Evans et al. 2011), and spatially explicit abundance measures based on fixed kernel density functions informed by distributions of lek locations (lek locations defined by Western Association of Fish and Wildlife Agencies, see Coates et al. 2015b). The kernels were generated using two bandwidth distances representing the majority of breeding habitat in relation to leks (6.4 km) and seasonal movements...
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This shapefile represents habitat suitability categories (High, Moderate, Low, and Non-Habitat) derived from a composite, continuous surface of sage-grouse habitat suitability index (HSI) values for Nevada and northeastern California during summer¸ which is a surrogate for habitat conditions during the sage-grouse brood-rearing period.
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This shapefile represents proposed management categories (Core, Priority, General, and Non-Habitat) derived from the intersection of habitat suitability categories and lek space use. Habitat suitability categories were derived from a composite, continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California formed from the multiplicative product of the spring (mid-March to June), summer (July to mid-Octoer), and winter (November to March) HSI surfaces.
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The Washington Connected Landscapes Project will provide a framework to address the interacting impacts of habitat fragmentation and climate change on ecological systems and wildlife species within the Great Northern Landscape Conservation Cooperative (GNLCC) boundary.Managing for well-connected landscapes is a key strategy to enhance resilience and ensure the long-term viability of plant and animal populations. However, conservation planning efforts have rarely included connectivity for ecological processes such as dispersal, migration, and gene flow. Connectivity conservation is particularly important in the face of climate change, because many species will require highly permeable, well-connected landscapes not...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alberta, Alberta, Applications and Tools, British Columbia, British Columbia, All tags...
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This project will integrate the shared priorities developed by the Arid Lands Initiative (ALI) in the Columbia Plateau ecoregion into implementation mechanisms of existing and new ALI partners. The project will finalize the ALIs comprehensive strategy by assessing and agreeing on which partners are best positioned to implement which priority actions in which priority areas, integrate these priorities into existing partner work, identify gaps that new partners need to be engaged to address, design 1-2 ALI projects for collaborative implementation, and track and adapt the overall implementation efforts. This project will not only allow the ALI to successfully transition from planning to coordinated action, but will...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Connectivity, CA-1, California, California, Climate Change, All tags...
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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 data set depicts a preliminary version of the management zone boundaries for Greater and Gunnison sage-grouse in the western United States and Canada. These boundaries were digitized from a hand drawn figure originally created by the Western Association of Fish and Wildlife Agencies' (WAFWA) Sage-grouse Conservation Planning Framework Team for use in the Greater Sage-grouse Comprehensive Conservation Strategy. The delineation of sage-grouse management zones provide a context for the Sage-grouse Conservation Planning Framework Team to keep track of changes in sage-grouse populations and habitat trends and to identify where appropriate conservation strategies might be implemented.</purpose> This represents...
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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,...
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Successful adaptive management hinges largely upon integrating new and improved sources of information as they become available. Updating management tools for greater sage-grouse (Centrocercus urophasianus, hereafter referred to as “sage-grouse”) populations, which are indicators for the large-scale health of sagebrush (Artemisia spp.) ecosystems in the Great Basin of North America, provide a timely example for this tenet. Recently developed spatially-explicit habitat maps derived from empirical data played a key role in the conservation of this species facing listing under the Endangered Species Act. Herein, this report provides an updated process for mapping relative habitat suitability and management categories...
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wy_lvl9_coarsescale: Wyoming hierarchical cluster level 9 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
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Closeness centrality (cc; grsg_lcp_closeness_centrality) measures the average length of the shortest path between the node and all other nodes in the graph. The more central a node, the closer it is to all other nodes and the more likely information/movements can flow to other nodes. Closeness is computed as one divided by the average path lengths from a node to its neighbors, which assumes that important nodes are close to other nodes. The data were defined from least-cost paths (LCPs) constructed into minimum spanning trees (MSTs). We identified a threshold of the cc normalized value (>0.047) where patterns of network connectivity occurred in our graph. The cc identified leks with the greatest number of shortest...
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The Great Basin is characterized by strong patterns of precipitation along approximate north-south gradients (Miller and others, 2013). Hence, we used a hydrographic boundary layer developed by Mason (1999), to divide the region-wide extent of sage-grouse habitat mapping analysis into North and South regions that align coarsely with respective mesic (wet) and xeric (dry) regions of the state. Flood regions are based largely on patterns of snowmelt, summer thunderstorms or cyclonic rainfall, and the 8-digit Watershed Boundary Dataset (WBD, 2015) was used to select appropriate watersheds within our mapping extent that corresponded to the Mason (1999) boundary. Slight adjustments, made in ArcMap 10.3, included joining...
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Two different great basin perimeter files were intersected and dissolved to create the outer perimeter of the great basin for use modeling long-term wildfire effects on sage-grouse population growth, and development of sage-grouse concentration areas based on modeled habitat quality, lek density, and population abundance (Coates et al. 2015). These two perimeter files included a 1:1,000,000 map of hydrographic areas in the Great Basin) (Buto 2009), and vegetation characteristics (Karl et al. 2001). The resulting Modified Great Basin Extent represented a combination of hydrographic and floristic features best suited for the defining the spatial extent of the analyses. To ensure moving window analyses of habitat and...
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This shapefile represents proposed management categories (Core, Priority, General, and Non-Habitat) derived from the intersection of habitat suitability categories and lek space use. Habitat suitability categories were derived from a composite, continuous surface of sage-grouse habitat suitability index (HSI) values for Nevada and northeastern California formed from the multiplicative product of the spring, summer, and winter HSI surfaces.
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This data set defines boundaries of oil and gas project areas, greater sage-grouse (Centrocercus urophasianus) core areas, and non-core and non-project areas within the Wyoming Landscape Conservation Initiative (WLCI; southwestern Wyoming). Specifically, the data represents results from the manuscript “Combined influences of future oil and gas development and climate on potential Sage-grouse declines and redistribution” for high oil and gas development, low population size, and with effects of climate change under an RCP 8.5 scenario (2050) . The oil and gas development scenario were based on an energy footprint model that simulates well, pad, and road patterns for oil and gas recovery options that vary in well...


map background search result map search result map Washington Connectivity: Statewide Sage-grouse Management Zones in the Western U.S. and Canada - DRAFT Sage-grouse population boundaries (from the Conservation Objectives Team Report) Historic GSG Range Integrating Landscape Conservation Design into Partner Actions in the Columbia Plateau Ecoregion Modifed Great Basin Extent (Buffered) Great Basin Sage-Grouse Concentration Areas Spatially Explicit Modeling of Annual and Seasonal Habitat for Greater Sage-Grouse (Centrocercus urophasianus) in Nevada and Northeastern California - an Updated Decision-Support Tool for Management Summer Season Habitat Categories Shapefile Composite Management Categories Shapefile Hydrological Areas of Nevada for the Greater Sage-grouse Greater sage-grouse population change (percent change) over 50-years in a high oil and gas development, low population estimate scenario, and with effects of climate change under an RCP 8.5 scenario (2050) Greater sage-grouse population change (percent change) in a low oil and gas development, high population estimate scenario, and with no effects of climate change (2006-2062) Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 2 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 6 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 9 (Wyoming), Interim Composite Management Categories Shapefile Greater sage-grouse closeness centrality of fully connected population structure in the western United States Greater sage-grouse population structure (3: moderate-scaled, tier three) in the western United States Composite Management Categories Shapefile Greater sage-grouse population change (percent change) over 50-years in a high oil and gas development, low population estimate scenario, and with effects of climate change under an RCP 8.5 scenario (2050) Greater sage-grouse population change (percent change) in a low oil and gas development, high population estimate scenario, and with no effects of climate change (2006-2062) Spatially Explicit Modeling of Annual and Seasonal Habitat for Greater Sage-Grouse (Centrocercus urophasianus) in Nevada and Northeastern California - an Updated Decision-Support Tool for Management Composite Management Categories Shapefile Summer Season Habitat Categories Shapefile Hydrological Areas of Nevada for the Greater Sage-grouse Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 6 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 9 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 2 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Nevada), Interim Washington Connectivity: Statewide Great Basin Sage-Grouse Concentration Areas Integrating Landscape Conservation Design into Partner Actions in the Columbia Plateau Ecoregion Greater sage-grouse closeness centrality of fully connected population structure in the western United States Modifed Great Basin Extent (Buffered) Sage-grouse population boundaries (from the Conservation Objectives Team Report) Historic GSG Range Greater sage-grouse population structure (3: moderate-scaled, tier three) in the western United States Sage-grouse Management Zones in the Western U.S. and Canada - DRAFT