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: 61
Using Long-Term Remote Sensing and an Automated Reference Toolset To Estimate and Predict Post-Development Recovery Potential
USGS scientists are using a time-varying approach to monitor and predict recovery of sagebrush ecosystems following disturbance.
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.
Greater Sage-Grouse Science (2015–17): Synthesis and Potential Management Implications
USGS led an interagency team of Federal and State agency biologists to develop a report that synthesizes greater sage-grouse scientific literature.
SageDAT: Data and Tools To Support Collaborative Sagebrush Ecosystem Conservation and Management
The USGS, the BLM, the FWS, and the Western Association of Fish and Wildlife Agencies have developed of a new DOI-funded effort, known as SageDAT.
Smart Energy Development: Tools for Informed Development & Successful Reclamation
The USGS is developing science and decision support tools to inform policy and management decisions about various aspects of the energy development life cycle.
Hierarchical Sage-Grouse Population Assessment Tool: Building a Foundation for True Adaptive Management
USGS scientists and colleagues have designed a hierarchical monitoring framework for greater sage-grouse in Nevada, Wyoming, and northeastern California that will provide land managers with a monitoring and detection system to identify sage-grouse breeding locations (known as leks), clusters of leks, and populations where intervention may be necessary to sustain populations and to evaluate...
Environmental DNA (eDNA) Sampling Improves Occurrence and Detection Estimates of Invasive Burmese Pythons and Other Constrictor Snakes in Florida
Environmental DNA (eDNA) is organismal DNA that can be found in the environment. Environmental DNA originates from cellular material shed by organisms (via skin, excrement, etc.) into aquatic or terrestrial environments that can be sampled and monitored using new molecular methods. Such methodology is important for the early detection of invasive species as well as the detection of rare and...
Investigating Prey of Burmese Pythons using eDNA Methods
Environmental DNA (eDNA) is organismal DNA that can be found in the environment. Environmental DNA originates from cellular material shed by organisms (via skin, excrement, etc.) into aquatic or terrestrial environments that can be sampled and monitored using new molecular methods. Such methodology is important for the early detection of invasive species as well as the detection of rare and...
Field of Sagebrush Dreams: Planting and Restoring Functional Sagebrush in Burned Landscapes
Increased wildfire-induced loss of sagebrush in North American shrublands are outpacing natural recovery and leading to substantial habitat loss for sagebrush-obligate species like sage-grouse. The products and information developed for this project will help restoration practitioners, biologists, and land managers evaluate the efficacy of sagebrush restoration approaches as well as their ability...
Investigating Impacts of Oil and Gas Development on Greater Sage-Grouse Using a Bayesian State-Space Model
USGS and university researchers analyzed changes in male sage-grouse lek counts in Wyoming from 1984 through 2008, measuring disturbance owing to oil and gas development.
Multi-scale Statewide Wyoming Greater Sage-grouse Trends Determined by Population Viability Analysis
USGS scientists and partners investigated sage-grouse population trends in Wyoming and at multiple spatial scales.
Landscape Influence on Gene Flow in Greater Sage-grouse
US Geological Survey scientists and collaborators are using genetic information contained in sage-grouse feathers collected at leks to define the rangewide network of breeding populations.