Filters: Tags: habitat connectivity (X)
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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,
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,
This data set contains links that are important to each species' habitat network. Those important links are scored based on the percent currently under protection status, projected change in climate suitability by the middle of the 21st century, and projected change in percent urbanized by the middle of the 21st century. Important links were identified from all links in the networks of each species based on their Integral Index of Connectivity (dIIC). Any links with dIIC scores > 0.9 or which connected to nodes with dIIC > 0.9 were retained here as "important" links.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Forests,
Landscapes,
Southeast CASC,
climate change,
habitat connectivity,
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 population growth rates among smaller clusters. Equally so, the spatial structure and ecological...
nv_lvl6_coarsescale: Nevada 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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
Nevada,
United States,
Wyoming,
wy_lvl8_coarsescale: Wyoming hierarchical cluster level 8 (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,
The delineation of priority areas in western North America for managing Greater Sage-Grouse (Centrocercus urophasianus) represents a broad-scale experiment in conservation biology. The strategy of limiting spatial disturbance and focusing conservation actions within delineated areas may benefit the greatest proportion of Greater Sage-Grouse. However, land use under normal restrictions outside priority areas potentially limits dispersal and gene flow, which can isolate priority areas and lead to spatially disjunct populations. We used graph theory, representing priority areas as spatially distributed nodes interconnected by movement corridors, to understand the capacity of priority areas to function as connected...
wy_lvl1_finescale: Wyoming hierarchical cluster level 1 (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,
wy_lvl4_moderatescale: Wyoming hierarchical cluster level 4 (moderate-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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management,
wy_lvl5_coarsescale: Wyoming hierarchical cluster level 5 (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,
The U.S. Geological Survey (USGS) Data at Risk (DaR) team partnered with the Forest and Rangeland Ecosystem Science Center (FRESC) to preserve and release a subset of their golden eagle telemetry data. In the 1990’s, researchers from what is now FRESC worked with Boise State University (BSU) and collected telemetry and ground observation data that documented the local and migratory movements and behaviors of golden eagles. Over the course of this study 21 golden eagles in the conterminous western US were captured and marked with Argos platform terminal transmitters (PTTs) and tracked by satellite as they moved between breeding and wintering locations (individuals marked with Argos PTTs and tracked by satellite are...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Aquila chrysaetos,
Argos System,
Arizona,
British Columbia,
We will translate existing modeled hydroclimatic data into metrics used for water crossing design and replacement. WDFW permits (Hydraulic Code Rules, Chapter 220-110 WAC) and provides technical guidance for construction of hundreds of fish passable culverts, a number which is expected to rise dramatically in response to a 2013 federal court injunction directing the state to repair thousands of culverts that inhibit salmon migration. Current WDFW design guidance does not account for changes in hydrology resulting from climate change. This project will support the development of designs that maintain desired performance (e.g. connectivity benefits to aquatic organisms) throughout water crossings expected life.This...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2014,
Academics & scientific researchers,
Anadromous fish,
Applications and Tools,
Climate Change,
WildLinks 2011 Conference brought together transboundary scientists and managers to share information on the latest science , policies, and efforts to address climate adaptation for species and habitats on both sides of the border.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
Adaptation planning,
B.C. North Cascades,
B.C. North Cascades,
B.C. North Cascades,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
Nevada,
United States,
adaptive management,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
Nevada,
United States,
adaptive management,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management,
The banding data provides a comprehensive list of where and when each of the 21 golden eagles were captured, tagged (all satellite-tagged, some also radio-tagged) and deployed. The banding data is organized into a spreadsheet (Banding_Records.csv) that provides basic information on each bird as well as any notes about recaptures or deaths. The Capture_Sheets.pdf is a supplemental document that provides more detailed biological and spatiotemporal information about 15 of the tagged individuals. Individual golden eagles can be identified across the three datasets with their unique and consistent PTT numbers.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Aquila chrysaetos,
Argos System,
Idaho,
North America,
Snake River Bird of Prey Natural Area,
The satellite data consist of 9,253 estimated locations of 21 golden eagles (Aquila chrysaetos) that were satellite-tagged in either east-central Idaho (Salmon, Idaho) or southwestern Idaho (Snake River National Conservation Area) and tracked between 1993 and 1997 via the Argos satellite system. The raw eagle tracking data provided by Argos were filtered one time using a version of the Douglas Argos-Filter Algorithm and converted into XLS spreadsheet form. This preservation project preserved the geospatial and satellite information from the XLS spreadsheet and released it in shapefile format (Satellite_Data.shp) and CSV format (Satellite_Data.csv). Each tagged bird in this dataset has a unique PTT number that is...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Aquila chrysaetos,
Argos System,
Canada,
Idaho,
North America,
Conclusions: Grizzly bears avoid high volume roads (25,000 vehicles/day). High quality habitat determines movement decisions relative to roads. Grizzly bears will cross high volume roads to access high-quality habitat. Grizzly bears use areas close to roads more than expected, in particular low-volume roads (10,000 vehicles/day). Prevent loss of habitat connectivity with the following mitigation: maintain high-quality habitat adjacent to roads, install continuous highway fencing and create wildlife passages. Thresholds/Learnings: Synopsis: The study examined the relationships among grizzly bears, their habitats and roads in Banff National Park, a protected area characterized by a major transportation corridor. This...
Categories: Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alberta,
Banff-Bow Valley,
Land use configuration,
Landscape fragmentation,
connectivity,
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