
This data, grsg_lcp_ThiessenPoly_mst3, is one of five hierarchical delineations of greater sagegrouse population structure. The data represent Thiessen polygons of graph constructs (leastcost path minimum spanning tree [LCPMST]) that defined our population structure of sagegrouse 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, All tags...
Nevada,
North Dakota,
Oregon,
South Dakota,
United States,
Utah,
Washington,
Wyoming,
biota,
centrality measures,
connectivity (structural, functional, potential),
greater sagegrouse,
hierarchical population structure,
leastcost paths,
population structure,
western United States, Fewer tags

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 leastcost 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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Centrocercus urophasianus,
Closeness,
Colorado,
Idaho, All tags...
Montana,
Nevada,
North Dakota,
Oregon,
South Dakota,
United States,
Utah,
Washington,
Wyoming,
biota,
centrality measures,
connectivity (structural, functional, potential),
greater sagegrouse,
leastcost paths,
population structure,
western United States, Fewer tags

This data, grsg_lcp_ThiessenPoly_mst4, is one of five hierarchical delineations of greater sagegrouse population structure. The data represent Thiessen polygons of graph constructs (leastcost path minimum spanning tree [LCPMST]) that defined our population structure of sagegrouse 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, All tags...
Nevada,
North Dakota,
Oregon,
South Dakota,
United States,
Utah,
Washington,
Wyoming,
biota,
centrality measures,
connectivity (structural, functional, potential),
greater sagegrouse,
hierarchical population structure,
leastcost paths,
population structure,
western United States, Fewer tags

The betweenness (bc; grsg_lcp_betweenness_centrality) defines the importance of a node in a graph based on how many times it occurs in the shortest path between all pairs of nodes. In other words, a node is important if it is included in many shortest paths between other nodes because it serves as a bridge between different parts of the graph. The data were defined from leastcost paths (LCPs) constructed into minimum spanning trees (MSTs). The bc identified major corridors spanning the sagegrouse range where nodes had a larger number of connections with other nodes, reflecting regions where leks potentially play larger roles of sagegrouse continuity based on graph theory analytics. We identified a threshold of...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Betweenness,
California,
Centrocercus urophasianus,
Colorado,
Idaho, All tags...
Montana,
Nevada,
North Dakota,
Oregon,
South Dakota,
United States,
Utah,
Washington,
Wyoming,
biota,
centrality measures,
connectivity (structural, functional, potential),
greater sagegrouse,
leastcost paths,
population structure,
western United States, Fewer tags

This data, grsg_lcp_ThiessenPoly_mst1, is one of five hierarchical delineations of greater sagegrouse population structure. The data represent Thiessen polygons of graph constructs (leastcost path minimum spanning tree [LCPMST]) that defined our population structure of sagegrouse 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, All tags...
Nevada,
North Dakota,
Oregon,
South Dakota,
United States,
Utah,
Washington,
Wyoming,
biota,
centrality measures,
connectivity (structural, functional, potential),
greater sagegrouse,
hierarchical population structure,
leastcost paths,
population structure,
western United States, Fewer tags

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