Adaptive Management

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:

Oil and gas extraction and wind energy icons

Abbreviations used in project descriptions are defined on the Energy and Wildife Abbrevations page.

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Oil and gas extraction icon

Changes to Infaunal Communities Associated With Deep-Sea Coral and Their Potential Recovery From the Deepwater Horizon Oil Spill

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.

 

Wind power icon

Golden Eagle Migration and Habitat Use

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.