An empirical evaluation of spatial value transfer methods for identifying cultural ecosystem services

Brown, Greg, Pullar, David and Hausner, Vera Helene (2016) An empirical evaluation of spatial value transfer methods for identifying cultural ecosystem services. Ecological Indicators, 69 1-11. doi:10.1016/j.ecolind.2016.03.053


Author Brown, Greg
Pullar, David
Hausner, Vera Helene
Title An empirical evaluation of spatial value transfer methods for identifying cultural ecosystem services
Journal name Ecological Indicators   Check publisher's open access policy
ISSN 1470-160X
1872-7034
Publication date 2016-10-01
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.ecolind.2016.03.053
Open Access Status Not Open Access
Volume 69
Start page 1
End page 11
Total pages 11
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2017
Language eng
Abstract A 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.
Keyword Benefit transfer
Norway
Regional assessment
Cultural values
Participatory mapping
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
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