A pathway for citizen science data to inform policy: A case study using data for defining low-risk collision areas for wind energy development

The research and conservation community has successfully harnessed the wealth of ecological knowledge found in unprecedented volumes of citizen science (CS) data world-wide. However, few examples exist of the use of CS data to directly inform policy. Current examples of applications of CS data mainly stem from programs that are restricted in scope (e.g. defined protocols, restricted sampling time frame), and the potential use of unrestricted CS data to inform policy remains largely untapped. Here, we make a call for moving beyond questioning the reliability of CS data and present a case study of how the US Fish and Wildlife Service (USFWS) used information from an unrestricted CS program (eBird) to inform levels of exposure to collision risk for wind energy development. Policy implications. The USFWS made the technical recommendation to use eBird abundance estimates for the bald eagle as the only source of information to define low-risk collision areas as part of the agency's wind energy permitting process. Our study contributes a clear pathway of how to realize the potential of unrestricted CS programs for generating the evidence base needed to inform policy decisions.

Automated summary

The research and conservation community has successfully utilized citizen science (CS) data to gather ecological knowledge, but there is a lack of examples directly informing policy; current applications mainly come from limited scope programs, while the potential of unrestricted CS data for policy-making remains largely untapped; there is a call to move beyond questioning the reliability of CS data and to utilize unrestricted CS programs for generating the evidence base needed to inform policy decisions.