Novel insights on intensity and typology of direct human-nature interactions in protected areas through passive crowdsourcing

Ghermandi, A., Sinclair, M. , Fichtman, E. and Gish, M. (2020) Novel insights on intensity and typology of direct human-nature interactions in protected areas through passive crowdsourcing. Global Environmental Change, 65, 102189. (doi: 10.1016/j.gloenvcha.2020.102189)

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Abstract

Recent advances in geotagging, sharing and automatically analyzing online content from Social Networking Sites (SNS) offer unprecedented opportunities for the analysis of human-nature interactions. Previous studies in this field, however, offer limited insights regarding the benefits of automated content analysis especially at large scales, biases arising from the selection of SNS sources, and the predictive power of visitation models based on SNS data. We explore quantitative and qualitative aspects related to intensity, interests and sentiments associated with on-site experiences in 568 protected areas in Israel and the Palestinian Authority. We analyze counts and content of >100,000 photographs and tweets from four different SNSs, calibrate visitation models and predict visitation in unmonitored sites, cluster sites based on the typology of human-nature interactions reflected in online photographs, and characterize the polarity of sentiments associated with experiences in individual sites and clusters thereof. We find benefits in combining data from multiple sources and controlling for biases related to sites’ photogenicity and type of human-nature interactions. Our results suggest that current best estimates of visitation in unmonitored sites underestimate by 39% the actual number of visits. We discuss how the techniques and findings in this study are applicable in the broader context of the management and conservation of sites of environmental or cultural interest.

Item Type:Articles
Additional Information:This research (Grant No. 2751/16) was supported by the Israel Science Foundation within the ISF-UGC joint research program framework.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Sinclair, Dr Michael
Creator Roles:
Sinclair, M.Conceptualization, Methodology, Formal analysis, Writing – original draft
Authors: Ghermandi, A., Sinclair, M., Fichtman, E., and Gish, M.
College/School:College of Social Sciences > School of Social and Political Sciences
Journal Name:Global Environmental Change
Publisher:Elsevier
ISSN:0959-3780
ISSN (Online):1872-9495
Published Online:27 October 2020

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