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.

Language
Englisch

Bibliographic citation
Series: Discussion Papers ; No. 941

Classification
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
Subject
Experimental ecosystem accounting
ecosystem services
urban ecosystems
spatial analysis
land use maps
land cover maps

Event
Geistige Schöpfung
(who)
Garnåsjordet, Per Arild
Steinnes, Margrete
Cimburova, Zofie
Nowell, Megan
Barton, David N.
Aslaksen, Iulie
Event
Veröffentlichung
(who)
Statistics Norway, Research Department
(where)
Oslo
(when)
2020

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

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

Time of origin

  • 2020

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