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dc.contributor.authorGarnåsjordet, Per Arild
dc.contributor.authorSteinnes, Margrete
dc.contributor.authorCimburova, Zofie
dc.contributor.authorNowell, Megan
dc.contributor.authorBarton, David Nicholas
dc.contributor.authorAslaksen, Iulie
dc.date.accessioned2022-03-28T09:02:38Z
dc.date.available2022-03-28T09:02:38Z
dc.date.created2021-12-17T14:50:02Z
dc.date.issued2021
dc.identifier.citationStatistical Journal of the IAOS. 2021, 1247-1274.en_US
dc.identifier.issn1874-7655
dc.identifier.urihttps://hdl.handle.net/11250/2987866
dc.description.abstractThe article enhances the knowledge base for the assessment of urban ecosystem services, within the United Nations System of Environmental-Economic Accounting Ecosystem Accounting (SEEA EA), recently adopted as an international statistical standard. The SEEA EA is based on spatial extent accounts (area of ecosystems) and biophysical condition accounts (ecological state of ecosystems). Case studies from the Oslo region are explored, combining land use/land cover maps from Statistics Norway with satellite data. The results illustrate that a combination of land use/land cover data for ecosystem extent and detailed satellite data of land cover provides a much higher quality for the interpretation of extent and condition variables. This is not only a result of applying spatial analysis, but a result of applying knowledge about the information categories from satellite data of land cover, to official statistics for built-up land in urban areas that until now have not been identified. Moreover, the choice of spatial units should reflect that modelling of different ecosystem services, as a basis for trade-offs in urban planning, requires a combination of different spatial approaches to capture urban green elements. Ecosystem accounting, ecosystem services, urban ecosystems, spatial analysis, land use maps, land cover mapsen_US
dc.language.isoengen_US
dc.rightsNavngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/deed.no*
dc.titleUrban green. Integrating ecosystem extent and condition data in urban ecosystem accounts. Examples from the Oslo regionen_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holderCopyright ©2022 IOS Press.en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488en_US
dc.subject.nsibiogeografien_US
dc.source.pagenumber1247-1274en_US
dc.source.volume37en_US
dc.source.journalStatistical Journal of the IAOSen_US
dc.source.issue4en_US
dc.identifier.doi10.3233/SJI-210834
dc.identifier.cristin1970010
dc.relation.projectNorges forskningsråd: 255156en_US
dc.relation.projectEU – Horisont Europa (EC/HEU): 817527en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
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cristin.qualitycode0


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