Collecting and Analyzing At-Sea and Coastal Avian Data to Assess Potential Effects of Offshore Renewable Energy Development

David Michael Pereksta, Bureau of Ocean Energy Management, Environmental Sciences Section, Camarillo, CA, United States
Abstract:
The prospect of renewable energy development off the coasts of the United States has led to a scramble for data needs on potentially affected resources, particularly those related to avian species. The potential effects from renewable energy development to avian species are complex and varied including collision, displacement, barrier effects, and attraction. As the lead Federal agency for renewable energy development on the Federal outer continental shelf (OCS), the Bureau of Ocean Energy Management (BOEM) has initiated, in coordination with other agencies and partners, the collection and synthesizing of existing data, identification of data gaps, development and funding of studies to fill those gaps, and creation of products for assessing risk to birds from structures at sea. Through the Environmental Studies Program, BOEM collects a wide range of environmental information to provide an improved understanding of offshore ecosystems, a baseline for assessing cumulative effects, and the scientific basis for development of regulatory measures to mitigate adverse impacts. With broad-scale assessments of suitable areas for wind, wave, and tidal energy production offshore, the challenge has been to collect and compile information quickly and at as large a scale as possible. Assessing what we know, what we can predict, and how can we assess risk has led BOEM to develop and collaborate on a variety of studies including baseline data assessments, at-sea surveys, predictive modeling of seabird distribution and abundance, vulnerability and risk assessments, and technology testing for efficient ways to inventory birds on the OCS. These are being applied in both the Atlantic and Pacific, including the Main Hawaiian Islands, to provide for assessments of potential effects and data needs early in the planning process at regional and local scales with the goal of designing and implementing projects that will minimize effects to avian species to the greatest extent practicable.