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Multiscale socio-ecological networks in the age of information

Author

Listed:
  • Maxime Lenormand
  • Sandra Luque
  • Johannes Langemeyer
  • Patrizia Tenerelli
  • Grazia Zulian
  • Inge Aalders
  • Serban Chivulescu
  • Pedro Clemente
  • Jan Dick
  • Jiska van Dijk
  • Michiel van Eupen
  • Relu C Giuca
  • Leena Kopperoinen
  • Eszter Lellei-Kovács
  • Michael Leone
  • Juraj Lieskovský
  • Uta Schirpke
  • Alison C Smith
  • Ulrike Tappeiner
  • Helen Woods

Abstract

Interactions between people and ecological systems, through leisure or tourism activities, form a complex socio-ecological spatial network. The analysis of the benefits people derive from their interactions with nature—also referred to as cultural ecosystem services (CES)—enables a better understanding of these socio-ecological systems. In the age of information, the increasing availability of large social media databases enables a better understanding of complex socio-ecological interactions at an unprecedented spatio-temporal resolution. Within this context, we model and analyze these interactions based on information extracted from geotagged photographs embedded into a multiscale socio-ecological network. We apply this approach to 16 case study sites in Europe using a social media database (Flickr) containing more than 150,000 validated and classified photographs. After evaluating the representativeness of the network, we investigate the impact of visitors’ origin on the distribution of socio-ecological interactions at different scales. First at a global scale, we develop a spatial measure of attractiveness and use this to identify four groups of sites. Then, at a local scale, we explore how the distance traveled by the users to reach a site affects the way they interact with this site in space and time. The approach developed here, integrating social media data into a network-based framework, offers a new way of visualizing and modeling interactions between humans and landscapes. Results provide valuable insights for understanding relationships between social demands for CES and the places of their realization, thus allowing for the development of more efficient conservation and planning strategies.

Suggested Citation

  • Maxime Lenormand & Sandra Luque & Johannes Langemeyer & Patrizia Tenerelli & Grazia Zulian & Inge Aalders & Serban Chivulescu & Pedro Clemente & Jan Dick & Jiska van Dijk & Michiel van Eupen & Relu C , 2018. "Multiscale socio-ecological networks in the age of information," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-16, November.
  • Handle: RePEc:plo:pone00:0206672
    DOI: 10.1371/journal.pone.0206672
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    References listed on IDEAS

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    1. Przemyslaw A Grabowicz & José J Ramasco & Esteban Moro & Josep M Pujol & Victor M Eguiluz, 2012. "Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-9, January.
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    3. Schirpke, Uta & Meisch, Claude & Marsoner, Thomas & Tappeiner, Ulrike, 2018. "Revealing spatial and temporal patterns of outdoor recreation in the European Alps and their surroundings," Ecosystem Services, Elsevier, vol. 31(PC), pages 336-350.
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    Cited by:

    1. Lee, Heera & Seo, Bumsuk & Cord, Anna F. & Volk, Martin & Lautenbach, Sven, 2022. "Using crowdsourced images to study selected cultural ecosystem services and their relationships with species richness and carbon sequestration," Ecosystem Services, Elsevier, vol. 54(C).
    2. Alejandro Huertas Herrera & Mónica Toro Manríquez & Rosina Soler & Cristian Lorenzo & María Vanessa Lencinas & Guillermo Martínez Pastur, 2021. "Assessing Socio-ecological Systems Using Social Media Data: An Approach for Forested Landscapes in Tierra del Fuego, Argentina," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(3), pages 817-839, October.
    3. Calcagni, Fulvia & Nogué Batallé, Júlia & Baró, Francesc & Langemeyer, Johannes, 2022. "A tag is worth a thousand pictures: A framework for an empirically grounded typology of relational values through social media," Ecosystem Services, Elsevier, vol. 58(C).
    4. Havinga, Ilan & Bogaart, Patrick W. & Hein, Lars & Tuia, Devis, 2020. "Defining and spatially modelling cultural ecosystem services using crowdsourced data," Ecosystem Services, Elsevier, vol. 43(C).
    5. Daymond, Tahlia & Andrew, Margaret E. & Kobryn, Halina T., 2023. "Crowdsourcing social values data: Flickr and public participation GIS provide different perspectives of ecosystem services in a remote coastal region," Ecosystem Services, Elsevier, vol. 64(C).
    6. Sinclair, Michael & Mayer, Marius & Woltering, Manuel & Ghermandi, Andrea, 2020. "Valuing nature-based recreation using a crowdsourced travel cost method: A comparison to onsite survey data and value transfer," Ecosystem Services, Elsevier, vol. 45(C).
    7. Sinclair, Michael & Ghermandi, Andrea & Signorello, Giovanni & Giuffrida, Laura & De Salvo, Maria, 2022. "Valuing Recreation in Italy's Protected Areas Using Spatial Big Data," Ecological Economics, Elsevier, vol. 200(C).
    8. Huai, Songyao & Chen, Fen & Liu, Song & Canters, Frank & Van de Voorde, Tim, 2022. "Using social media photos and computer vision to assess cultural ecosystem services and landscape features in urban parks," Ecosystem Services, Elsevier, vol. 57(C).

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