Files in this item
Crowdsourcing indicators for cultural ecosystem services : a geographically weighted approach for mountain landscapes
Item metadata
dc.contributor.author | Tenerelli, Patrizia | |
dc.contributor.author | Demsar, Urska | |
dc.contributor.author | Luque, Sandra | |
dc.date.accessioned | 2017-01-22T00:32:15Z | |
dc.date.available | 2017-01-22T00:32:15Z | |
dc.date.issued | 2016-05 | |
dc.identifier | 240103533 | |
dc.identifier | 13284384-a5cc-4eaa-af45-f448a1012c94 | |
dc.identifier | 84955448878 | |
dc.identifier | 000371098700024 | |
dc.identifier.citation | Tenerelli , P , Demsar , U & Luque , S 2016 , ' Crowdsourcing indicators for cultural ecosystem services : a geographically weighted approach for mountain landscapes ' , Ecological Indicators , vol. 64 , pp. 237–248 . https://doi.org/10.1016/j.ecolind.2015.12.042 | en |
dc.identifier.issn | 1470-160X | |
dc.identifier.other | ORCID: /0000-0001-7791-2807/work/48516835 | |
dc.identifier.uri | https://hdl.handle.net/10023/10144 | |
dc.description | This study was partially supported by the OpenNESS project funded from the European Union's Seventh Programme for research; technological development and demonstration under grant agreement n° 308428. | en |
dc.description.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. | |
dc.format.extent | 12 | |
dc.format.extent | 935745 | |
dc.language.iso | eng | |
dc.relation.ispartof | Ecological Indicators | en |
dc.subject | Non-material ecosystem benefits | en |
dc.subject | Cultural service preferences | en |
dc.subject | Social perceptions | en |
dc.subject | Photoseries analysis | en |
dc.subject | Spatially varying relationships | en |
dc.subject | Land use planning | en |
dc.subject | Recreational choice | en |
dc.subject | G Geography (General) | en |
dc.subject | NDAS | en |
dc.subject | BDC | en |
dc.subject | R2C | en |
dc.subject | SDG 15 - Life on Land | en |
dc.subject.lcc | G1 | en |
dc.title | Crowdsourcing indicators for cultural ecosystem services : a geographically weighted approach for mountain landscapes | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. Bell-Edwards Geographic Data Institute | en |
dc.contributor.institution | University of St Andrews. School of Geography & Sustainable Development | en |
dc.contributor.institution | University of St Andrews. Geography & Sustainable Development | en |
dc.contributor.institution | University of St Andrews. School of Biology | en |
dc.identifier.doi | 10.1016/j.ecolind.2015.12.042 | |
dc.description.status | Peer reviewed | en |
dc.date.embargoedUntil | 2017-01-21 |
This item appears in the following Collection(s)
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.