Skip to main content
U.S. flag

An official website of the United States government

Sage-grouse

Filter Total Items: 36

Invasive Annual Grass (IAG) Spatial Dataset Compilation and Synthesis

USGS is working closely with partners in the Bureau of Land Management (BLM), U.S. Fish and Wildlife Service (USFWS), and the Intermountain West Joint Venture (IMJV) to collect and summarize spatial datasets that describe measurable aspects of invasive annual grasses (e.g., biomass or presence) across the western United Stated and beyond. The products developed through this project provide...
link

Invasive Annual Grass (IAG) Spatial Dataset Compilation and Synthesis

USGS is working closely with partners in the Bureau of Land Management (BLM), U.S. Fish and Wildlife Service (USFWS), and the Intermountain West Joint Venture (IMJV) to collect and summarize spatial datasets that describe measurable aspects of invasive annual grasses (e.g., biomass or presence) across the western United Stated and beyond. The products developed through this project provide...
Learn More

Optimization of Management Actions for Restoration Success and Wildlife Populations

USGS researchers, in collaboration with the Wyoming Landscape Conservation Initiative and other partners, are developing a statistically based prioritization tool that will aid agencies in their management decisions.
link

Optimization of Management Actions for Restoration Success and Wildlife Populations

USGS researchers, in collaboration with the Wyoming Landscape Conservation Initiative and other partners, are developing a statistically based prioritization tool that will aid agencies in their management decisions.
Learn More

Annotated Bibliography of Scientific Research on Greater Sage-Grouse

The greater sage-grouse has been a focus of scientific investigation and management action for the past two decades. The sheer number of scientific publications can be a challenge for managers tasked with evaluating and determining the need for potential updates to existing planning documents.
link

Annotated Bibliography of Scientific Research on Greater Sage-Grouse

The greater sage-grouse has been a focus of scientific investigation and management action for the past two decades. The sheer number of scientific publications can be a challenge for managers tasked with evaluating and determining the need for potential updates to existing planning documents.
Learn More

Genomic Scans for Local Adaptation in Greater Sage-Grouse

USGS scientists are identifying local adaptation in sage-grouse by modeling allelic variation at large numbers of single-nucleotide polymorphisms (SNPs) in relation to environmental and climate variables.
link

Genomic Scans for Local Adaptation in Greater Sage-Grouse

USGS scientists are identifying local adaptation in sage-grouse by modeling allelic variation at large numbers of single-nucleotide polymorphisms (SNPs) in relation to environmental and climate variables.
Learn More

Informing the Habitat Assessment Framework Process—An Assessment to Understand Habitat Patch Composition and Configuration Requirements for Range-Wide Sage-Grouse Persistence

USGS scientists are developing multiple products to directly inform the Bureau of Land Management's Sage-grouse Habitat Assessment Framework process.
link

Informing the Habitat Assessment Framework Process—An Assessment to Understand Habitat Patch Composition and Configuration Requirements for Range-Wide Sage-Grouse Persistence

USGS scientists are developing multiple products to directly inform the Bureau of Land Management's Sage-grouse Habitat Assessment Framework process.
Learn More

Integration of Genetic and Demographic Data to Assess the Relative Importance of Connectivity and Habitat in Sage-Grouse Populations

Using the existing rangewide genetic and demographic data, scientists from the USGS, USDA Forest Service, and University of Waterloo will assess the relative contributions of habitat and genetic connectivity to lek size and stability.
link

Integration of Genetic and Demographic Data to Assess the Relative Importance of Connectivity and Habitat in Sage-Grouse Populations

Using the existing rangewide genetic and demographic data, scientists from the USGS, USDA Forest Service, and University of Waterloo will assess the relative contributions of habitat and genetic connectivity to lek size and stability.
Learn More

Greater Sage-Grouse and Mule Deer Population Viability Analysis Across Scales

USGS and Colorado State University scientists will use data about sage-grouse and mule deer population data across Wyoming to evaluate the effectiveness of disturbance thresholds and investigate the efficacy of other disturbance metrics.
link

Greater Sage-Grouse and Mule Deer Population Viability Analysis Across Scales

USGS and Colorado State University scientists will use data about sage-grouse and mule deer population data across Wyoming to evaluate the effectiveness of disturbance thresholds and investigate the efficacy of other disturbance metrics.
Learn More

Understanding How Changes in Traffic Volume May Affect Sage-Grouse Population Dynamics Across Scales in Wyoming

USGS researchers and partners are working to investigate how transportation activities may drive changes in sage-grouse populations, using annually time-stamped transportation from the Wyoming Department of Transportation and sage-grouse population data from the Wyoming Game and Fish Department.
link

Understanding How Changes in Traffic Volume May Affect Sage-Grouse Population Dynamics Across Scales in Wyoming

USGS researchers and partners are working to investigate how transportation activities may drive changes in sage-grouse populations, using annually time-stamped transportation from the Wyoming Department of Transportation and sage-grouse population data from the Wyoming Game and Fish Department.
Learn More

Building the Sage-Grouse Umbrella with Songbird Habitat Models

USGS and Colorado State University scientists are using data and hierarchical community models to create predictive surfaces of bird use by habitat type and comparing these predictions to habitat prioritization derived from sage-grouse locations.
link

Building the Sage-Grouse Umbrella with Songbird Habitat Models

USGS and Colorado State University scientists are using data and hierarchical community models to create predictive surfaces of bird use by habitat type and comparing these predictions to habitat prioritization derived from sage-grouse locations.
Learn More

Assessing the Proliferation, Connectivity, and Consequences of Invasive Fine Fuels

Invasive annual grasses (fine fuels) are a significant challenge for land and wildlife management.
link

Assessing the Proliferation, Connectivity, and Consequences of Invasive Fine Fuels

Invasive annual grasses (fine fuels) are a significant challenge for land and wildlife management.
Learn More

Assessing the Effectiveness of Fuel Breaks for Preserving Greater Sage-Grouse in the Great Basin

Fuel breaks have the potential to minimize catastrophic losses of sagebrush habitat and sage-grouse populations by altering fire behavior and facilitating fire suppression. However, they may carry risks to sage-grouse populations—of habitat loss, fragmentation, cheatgrass (Bromus tectorum) invasion, and alteration of sage-grouse movements—that have not been quantified.
link

Assessing the Effectiveness of Fuel Breaks for Preserving Greater Sage-Grouse in the Great Basin

Fuel breaks have the potential to minimize catastrophic losses of sagebrush habitat and sage-grouse populations by altering fire behavior and facilitating fire suppression. However, they may carry risks to sage-grouse populations—of habitat loss, fragmentation, cheatgrass (Bromus tectorum) invasion, and alteration of sage-grouse movements—that have not been quantified.
Learn More

Evaluating Trends in Greater Sage-Grouse Populations With Quantile Regression

USGS scientists are evaluating the use of quantile regression to develop models of sage-grouse population changes across the United States.
link

Evaluating Trends in Greater Sage-Grouse Populations With Quantile Regression

USGS scientists are evaluating the use of quantile regression to develop models of sage-grouse population changes across the United States.
Learn More