Crowdsourcing indicators for cultural ecosystem services: A geographically weighted approach for mountain landscapes. (May 2016)

• Record Type: Journal Article
• Authors: Tenerelli, Patrizia; Demšar, Urška; Luque, Sandra
• Is Part Of: Ecological indicators. Volume 64(2016)
• Page Start: 237
• Page End: 248
• Publication Date: 2016-05
• Subjects: Non-material ecosystem benefits -- Cultural service preferences -- Social perceptions -- Photoseries analysis -- Spatially varying relationships -- Land use planning -- Recreational choice; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2015.12.042
• Languages: English
• ISSNs: 1470-160X

Abstract

Graphical abstract: Highlights: Revealed preferences of ecosystem service can be acquired from online platforms. Spatially varying relationships were analysed through a geographically weighted regression. Environmental and opportunity settings are locally related to cultural services. Habitat, accessibility, and view-points have a major impact on the service supply. Spatial statistical models can be used to identify priority for land use planning. Abstract: Integrating cultural dimensions into the ecosystem service framework is essential for appraising non-material benefits stemming from different human–environment interactions. This study investigates how the actual provision of cultural services is distributed across the landscape according to spatially varying relationships. The final aim was to analyse how landscape settings are associated to people's preferences and perceptions related to cultural ecosystem services in mountain landscapes. We demonstrated a spatially explicit method based on geo-tagged images from popular social media to assess revealed preferences. A spatially weighted regression showed that specific variables correspond to prominent drivers of cultural ecosystem services at the local scale. The results of this explanatory approach can be used to integrate the cultural service dimension into land planning by taking into account specific benefiting areas and by setting priorities on the ecosystems and landscape characteristics which affect the service supply. We finally concluded that the use of crowdsourced data allows identifying spatial patterns of cultural ecosystem service preferences and their association with landscape settings.