Determining preferences for ecosystem benefits in Great Lakes Areas of Concern from photographs posted to social media.

摘要: Abstract Relative valuation of potentially affected ecosystem benefits can increase the legitimacy and social acceptance restoration projects. As an alternative or supplement to traditional methods deriving beneficiary preference, we downloaded from media classified ≈ 21,000 photographs taken in two Great Lakes Areas Concern (AOC), St. Louis River Milwaukee Estuary. Our motivating presumption was that act taking a photograph constitutes some measure photographer's individual preference for, choice of, depicted subject matter among myriad possible matter. Overall, 17% photos photo-sharing sites Flickr, Instagram, Panoramio benefit AOC. Percent depicting photographs' varied between AOCs sites. Photos shared on Instagram were less user-gender biased than other active recreation (e.g., trail use) more frequently passive landscape viewing). Local users non-local users. The spatial distribution locations not benefit, identified areas within which few shared. source information, think has advantages over When combined with spatially-explicit relative derived aggregate be translated into information knowledge useful for decision making.