Fish and Wildlife
Fish and Wildlife
This webpage has links to information about selected fish and wildlife research done by scientists at the USGS Fort Collins Science Center (FORT SC) in Fort Collins, Colorado.
Filter Total Items: 64
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.
Mapping Chronic Wasting Disease Management: Identify Opportunities for Intervention
This research effort is an interagency partnership between U.S. Geological Survey and U.S. Fish and Wildlife Service to model the social-ecological system that encompasses chronic wasting disease management in the United States. Chronic wasting disease (CWD) is a fatal, neurologically degenerative disease that impacts many cervid species in North America (e.g., elk, moose, mule deer, and white...
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.
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.
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.
A Climate Vulnerability Assessment Framework for Data-Poor Species
Assessing vulnerability to climate change is a key step in anticipating climate impacts on species.
Economic Implications of Sagebrush Treatment and Restoration Practices Across the Great Basin and Wyoming
USGS and Colorado State University researchers are conducting analyses and predictions of sagebrush recovery in the Great Basin and Wyoming and assess the role of weather, soils, and reseeding treatments.
Forecasting the Spatiotemporal Dynamics of Sagebrush in Wyoming Under a Changing Climate
Prioritizing landscapes for sage-grouse habitat conservation is complicated by long-term changes in climate.
Defining Multi-Scaled Functional Landscape Connectivity for the Sagebrush Biome to Support Management and Conservation Planning of Multiple Species
USGS and Colorado State University scientists are modelling multispecies connectivity through intact and disturbed areas of the sagebrush landscape.
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.
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.
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.