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dc.contributor.authorBrown, Greg
dc.contributor.authorPullar, David
dc.contributor.authorHausner, Vera Helene
dc.date.accessioned2016-09-28T11:22:41Z
dc.date.available2016-09-28T11:22:41Z
dc.date.issued2016-04-09
dc.description.abstractA significant barrier to the assessment of ecosystem services is a lack of primary data, especially for cultural ecosystem services. Spatial value transfer, also known as benefits transfer, is a method to identify the probable locations of ecosystem services based on empirical spatial associations found in other geographic locations. To date, there has been no systematic evaluation of spatial value transfer methods for cultural ecosystem services identified through participatory mapping methods. This research paper addresses this knowledge gap by examining key variables that influence value transfer for cultural ecosystem services: (1) the geographic setting, (2) the type of ecosystem services, and (3) the land cover data selected for value-transfer. Spatial data from public participation GIS (PPGIS) processes in two regions in Norway were used to evaluate spatial value transfer where the actual mapped distribution of cultural ecosystem values were compared to maps generated using value transfer coefficients. Six cultural ecosystem values were evaluated using two different land cover classification systems GlobCover (300 m resolution) and CORINE (100 m resolution). Value transfer maps based on the distribution of mapped ecosystem values produced strongly correlated results to primary data in both regions. Value transfer for cultural ecosystems appear valid under conditions where the primary data and value transfer regions have similar physical landscapes, the social and cultural values of the human populations are similar, and the primary data sample sizes are large and unbiased. We suggest the use of non-economic value transfer coefficients derived from participatory mapping as the current best approach for estimating the importance and spatial distribution of cultural ecosystem services.en_US
dc.description.sponsorshipThe research leading to these results has received funding from the Polish-Norwegian Research Program operated by the National Centre for Research and Development under the Norwegian Financial Mechanism 2013–2016 in the frame of Project Contract No. POL-NOR/196105/2/2013.en_US
dc.descriptionSubmitted manuscript version. Publisher's version available at <a href=http://dx.doi.org/10.1016/j.ecolind.2016.03.053>http://dx.doi.org/10.1016/j.ecolind.2016.03.053</a>.en_US
dc.identifier.citationEcological Indicators 69 (2016): 1-11en_US
dc.identifier.cristinIDFRIDAID 1376594
dc.identifier.doi10.1016/j.ecolind.2016.03.053
dc.identifier.issn1470-160X
dc.identifier.issn1872-7034
dc.identifier.urihttps://hdl.handle.net/10037/9757
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.projectIDNorges forskningsråd: 230330
dc.rights.accessRightsopenAccess
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488en_US
dc.subjectBenefit transferen_US
dc.subjectRegional assessmenten_US
dc.subjectCultural valuesen_US
dc.subjectParticipatory mappingen_US
dc.titleAn empirical evaluation of spatial value transfer methods for identifying cultural ecosystem servicesen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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