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Valuating aesthetic benefits of cultural ecosystem services using conservation culturomics

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  • Do, Yuno

Abstract

Aesthetic benefits are expressed as subtle, individual emotions, opinions, and perceptions of natural areas. Our study demonstrates that Internet-based data, such as photographs, brief texts in microblogs and Internet search trends, can reflect an aesthetic judgment of natural areas. Facial expressions in photographs indicate the first emotions viewers experienced when they encountered a natural area. Sentiments expressed in text on social media provide organized data on the feelings and opinions about natural areas after direct or indirect experiences, such as visiting an area and hearing news related to it. A rise in search volume related to natural areas indicates increased public interest. Our study indicates that Internet-based data reflect the subtle aesthetic judgments of natural areas that underlie aesthetic benefits on multiple spatial and temporal scales.

Suggested Citation

  • Do, Yuno, 2019. "Valuating aesthetic benefits of cultural ecosystem services using conservation culturomics," Ecosystem Services, Elsevier, vol. 36(C), pages 1-1.
    • Handle: RePEc:eee:ecoser:v:36:y:2019:i:c:6
    DOI: 10.1016/j.ecoser.2019.100894
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    Cited by:

    1. Jun-Kyu Park & Woong-Bae Park & Yuno Do, 2022. "Identifying Popular Frogs and Attractive Frog Calls from YouTube Data," Sustainability, MDPI, vol. 14(16), pages 1-10, August.
    2. Fox, Nathan & Graham, Laura J. & Eigenbrod, Felix & Bullock, James M. & Parks, Katherine E., 2021. "Enriching social media data allows a more robust representation of cultural ecosystem services," Ecosystem Services, Elsevier, vol. 50(C).
    3. Tingting Ding & Wenzhuo Sun & Yuan Wang & Rui Yu & Xiaoyu Ge, 2022. "Comparative Evaluation of Mountain Landscapes in Beijing Based on Social Media Data," Land, MDPI, vol. 11(10), pages 1-30, October.
    4. Siya Cheng & Zheran Zhai & Wenzhuo Sun & Yuan Wang & Rui Yu & Xiaoyu Ge, 2022. "Research on the Satisfaction of Beijing Waterfront Green Space Landscape Based on Social Media Data," Land, MDPI, vol. 11(10), pages 1-25, October.

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