Physical landscape associations with mapped ecosystem values with implications for spatial value transfer: an empirical study from Norway

Brown, Greg, Helene Hausner, Vera and Laegreid, Eiliv (2015) Physical landscape associations with mapped ecosystem values with implications for spatial value transfer: an empirical study from Norway. Ecosystem Services, 15 19-34. doi:10.1016/j.ecoser.2015.07.005


Author Brown, Greg
Helene Hausner, Vera
Laegreid, Eiliv
Title Physical landscape associations with mapped ecosystem values with implications for spatial value transfer: an empirical study from Norway
Journal name Ecosystem Services   Check publisher's open access policy
ISSN 2212-0416
Publication date 2015-10-01
Year available 2015
Sub-type Article (original research)
DOI 10.1016/j.ecoser.2015.07.005
Open Access Status Not yet assessed
Volume 15
Start page 19
End page 34
Total pages 16
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2016
Language eng
Abstract The identification of spatial associations between perceived ecosystem values and physical landscapes is confronted by a diversity of mapping methods, heterogeneous human populations, and variability in physical landscape classification systems. This study reviews previous research on spatial associations and reports new empirical findings from Norway to describe the potential for spatial “value transfer” methods that extrapolate ecosystem values to other locations. Public participation GIS (PPGIS) survey methods were implemented in two separate study areas in Norway to identify ecosystem values and to analyze their spatial association with land cover data. The ecosystem value associations with land cover were generally consistent with global findings reported elsewhere, with forested areas providing multiple ecosystem “bundles” supporting both recreation-related and provisioning values. Alternative value transfer methods were demonstrated using recreation value to compare actual with predicted distributions using land cover indices derived from value proportions, deviations from expected distribution, and correlation coefficients with ecosystem value bundles. The use of simple ecosystem value percentages located within land cover classes provided the best predictive results for value transfer in this study. The limitations and potential for value transfer methods based on spatial associations between mapped ecosystem values and physical landscape characteristics are discussed.
Keyword Ecosystem services
Land cover
Social values
PPGIS
Value transfer
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2016 Collection
 
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