气候变化领域集成服务门户(CCPortal): Novel insights on intensity and typology of direct human-nature interactions in protected areas through passive crowdsourcing

CCPortal

DOI	10.1016/j.gloenvcha.2020.102189
	Novel insights on intensity and typology of direct human-nature interactions in protected areas through passive crowdsourcing
	Ghermandi A.; Sinclair M.; Fichtman E.; Gish M.
发表日期	2020
ISSN	0959-3780
卷号	65
英文摘要	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. © 2020 Elsevier Ltd
英文关键词	Cultural ecosystem services; Heritage tourism; Israel; Nature-based recreation; Protected areas; Social media
语种	英语
scopus关键词	automation; conservation management; crowdsourcing; nature-society relations; perception; photography; protected area; social network; typology; Israel
来源期刊	Global Environmental Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/147589
作者单位	Department of Natural Resources and Environmental Management, University of Haifa, 199 Aba Khushy Ave., Haifa, 3498838, Israel; Natural Resource and Environmental Research Center, University of Haifa, Israel
推荐引用方式 GB/T 7714	Ghermandi A.,Sinclair M.,Fichtman E.,et al. Novel insights on intensity and typology of direct human-nature interactions in protected areas through passive crowdsourcing[J],2020,65.
APA	Ghermandi A.,Sinclair M.,Fichtman E.,&Gish M..(2020).Novel insights on intensity and typology of direct human-nature interactions in protected areas through passive crowdsourcing.Global Environmental Change,65.
MLA	Ghermandi A.,et al."Novel insights on intensity and typology of direct human-nature interactions in protected areas through passive crowdsourcing".Global Environmental Change 65(2020).