دانلود مقاله ISI انگلیسی شماره 140446
ترجمه فارسی عنوان مقاله

تعریف ترجیحات برای مزایای اکوسیستم در مناطق دریاچه بزرگ از نگرانی از عکس های ارسال شده به رسانه های اجتماعی

عنوان انگلیسی
Determining preferences for ecosystem benefits in Great Lakes Areas of Concern from photographs posted to social media
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
140446 2018 12 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Great Lakes Research, Volume 44, Issue 2, April 2018, Pages 340-351

ترجمه کلمات کلیدی
مناطق دریاچه بزرگ نگران کننده، رسانه های اجتماعی، به اشتراک گذاری عکس، خدمات و مزایای اکوسیستم، تصمیم سازی، ترمیم،
کلمات کلیدی انگلیسی
Great Lakes Areas of Concern; Social media; Photo sharing; Ecosystem services and benefits; Decision making; Restoration;
پیش نمایش مقاله
پیش نمایش مقاله  تعریف ترجیحات برای مزایای اکوسیستم در مناطق دریاچه بزرگ از نگرانی از عکس های ارسال شده به رسانه های اجتماعی

چکیده انگلیسی

Our motivating presumption was that the act of taking a photograph constitutes some measure of the photographer's individual preference for, or choice of, the depicted subject matter among myriad possible subject matter. Overall, 17% of photos downloaded from the photo-sharing sites Flickr, Instagram, and Panoramio depicted an ecosystem benefit of the AOC. Percent of photographs depicting a benefit and the photographs' subject matter varied between AOCs and among photo-sharing sites. Photos shared on Instagram were less user-gender biased than other photo-sharing sites and depicted active recreation (e.g., trail use) more frequently than passive recreation (e.g., landscape viewing). Local users shared more photos depicting a benefit than non-local users. The spatial distribution of photograph locations varied between photos depicting and not depicting a benefit, and identified areas within AOCs from which few photographs were shared. As a source of beneficiary preference information, we think Instagram has some advantages over the other photo-sharing sites. When combined with other information, spatially-explicit relative valuation derived from aggregate social preference can be translated into information and knowledge useful for Great Lakes restoration decision making.