Deputy Center Director
Email:
shanser@usgs.gov
Office Phone:
970-226-9309
Fax:
970-226-9230
ORCID:
0000-0002-4430-2073
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The Science Framework for the Conservation and Restoration Strategy of the Sagebrush Biome provides a strategic, multiscale approach for prioritizing areas for management and determining effective management strategies across the sagebrush biome. It includes: A six step process linking information on sagebrush ecosystem resilience to species habitat requirements An assessment of the predominant ecosystem and anthropogenic threats Decision tools including a habitat matrix to aid in determining project areas and appropriate management actions at multiple scales Geospatial data, maps and models provided through the U.S. Geological Survey ScienceBase and BLM Landscape Approach Data Portal to support future assessments...
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We present five hierarchical demarcations of greater sage-grouse population structure, representing the spatial structure of populations which can exist due to differences in dispersal abilities, landscape configurations, and mating behavior. These demarcations represent Thiessen polygons of graph constructs (least-cost path [LCP] minimum spanning trees [MST; LCP-MST]) representing greater sage-grouse population structure. Because the graphs included locational information of sage-grouse breeding sites, we have provided polygons of the population structure. We also present two results using graph analytics representing node/connectivity importance based on our population structure. Understanding wildlife population...
Tags: California,
Centrocercus urophasianus,
Colorado,
Idaho,
Montana, All tags...
Nevada,
North Dakota,
Oregon,
South Dakota,
USGS Science Data Catalog (SDC),
United States,
Utah,
Washington,
Wildlife Biology,
Wyoming,
biota,
centrality measures,
connectivity (structural, functional, potential),
greater sage-grouse,
least-cost paths,
population structure,
western United States, Fewer tags
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wy_lvl7_coarsescale: Wyoming 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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management, All tags...
biota,
boundaries,
graph theory,
habitat connectivity,
hierarchical sampling units,
population monitoring, Fewer tags
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wy_lvl2_finescale: Wyoming 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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management, All tags...
biota,
boundaries,
graph theory,
habitat connectivity,
hierarchical sampling units,
population monitoring, Fewer tags
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Probability map of Cheatgrass occurrence in relation to vegetation, abiotic, and anthropogenic features. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
Categories: pre-SM502.8;
Tags: Botany,
Cheatgrass,
Colorado,
Ecology,
Ecology, All tags...
Great Basin,
Idaho,
Land Use Change,
Land Use Change,
Montana,
Probability of occurrence,
USGS Science Data Catalog (SDC),
Utah,
Wyoming,
biota,
environment,
geoscientificInformation,
geospatial datasets,
modeling,
scientific interpretation,
shrubland ecosystems, Fewer tags
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