Arbeitspapier

Urban green: Integrating ecosystem extent and condition as a basis for ecosystem accounts: examples from the Oslo region

The article enhances the knowledge base for assessment of urban ecosystem services, within UN System of Environmental-Economic Accounting Experimental Ecosystem Accounting (SEEA EEA), which 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 approach suggests that especially in an urban context, extent and condition accounts are not separate approaches as suggested by SEEA EEA but should be integrated for ecosystem accounting. Moreover, the basic spatial unit should not be fixed, as suggested by SEEA EEA, but should reflect that modelling of different ecosystem services, as basis for trade-offs in urban planning, requires different spatial units to capture urban green elements.

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 941

Klassifikation
Wirtschaft
Natural Resources and Domestic and International Conflicts
Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
Ecological Economics: Ecosystem Services; Biodiversity Conservation; Bioeconomics; Industrial Ecology
Environmental Economics: Government Policy
Thema
Experimental ecosystem accounting
ecosystem services
urban ecosystems
spatial analysis
land use maps
land cover maps

Ereignis
Geistige Schöpfung
(wer)
Garnåsjordet, Per Arild
Steinnes, Margrete
Cimburova, Zofie
Nowell, Megan
Barton, David N.
Aslaksen, Iulie
Ereignis
Veröffentlichung
(wer)
Statistics Norway, Research Department
(wo)
Oslo
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Garnåsjordet, Per Arild
  • Steinnes, Margrete
  • Cimburova, Zofie
  • Nowell, Megan
  • Barton, David N.
  • Aslaksen, Iulie
  • Statistics Norway, Research Department

Entstanden

  • 2020

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