Science Center Objects
USGS scientists conduct a combination of short- and longterm biological research, survey and monitoring, data analysis and applications, new tool and technology development and application, decision support, and adaptive management to address energy and wildlife management issues.
Each project below is associated with a type of energy production or transmission. Types of energy production or transmission are represented by the following icons:
Abbreviations used in project descriptions are defined on the Energy and Wildife Abbrevations page.
Science Center: Wetland and Aquatic Research Center
The Deepwater Horizon oil spill effected changes in multiple ecosystems within GOM, including coastal and deep-sea ecosystems that support large and valuable commercial and recreational fisheries and numerous threatened or endangered species. A few studies have documented the acute impacts of the spill to deep-sea communities, but long-term changes and recovery of communities have not been assessed. USGS is leading an unprecedented 7-year post-spill assessment of the GOM-OCS deep-sea coral communities that tracks change in coral-associated sediment communities. These results can help inform future deep-sea ecosystem monitoring and restoration activities and can lead to the development of effective adaptive management and conservation strategies for these vulnerable ecosystems.
Science Center: Forest and Rangeland Ecosystem Science Center
The USGS is collecting information related to habitat use, home range, and population dynamics of golden eagles in the Central Appalachians, northeastern California, and the Mojave and Sonoran Deserts, using various methodologies including GPS-GSM communications telemetry, standard GIS analyses, nest visits, and non-invasive genetic monitoring. The data have been used to model movement and create risk models to assist resource management agencies in evaluating management options for this species. Results can inform resource managers about where and when eagles could be most at risk from disturbances associated with renewable energy structures. Data are being combined with datasets from similar projects to create a framework and baseline to build an effective long-term golden eagle monitoring program in support of adaptive management.