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Application of the Natural Capital Model to assess changes in ecosystem services from changes in green infrastructure in Amsterdam

Author

Listed:
  • Paulin, M.J.
  • Remme, R.P.
  • de Nijs, T.
  • Rutgers, M.
  • Koopman, K.R.
  • de Knegt, B.
  • van der Hoek, D.C.J.
  • Breure, A.M.

Abstract

This paper demonstrates the utility of local models for assessing ecosystem services to support urban planning. It does so by application of the NC-Model, a spatially-explicit set of models for assessing ecosystem services in the Netherlands, to assess changes in ecosystem services in the Municipality of Amsterdam given the implementation of strategies from the Green Quality Impulse. The Green Quality Impulse is a spatial plan that envisions the development of Amsterdam’s green infrastructure by 2025 to support the needs of Amsterdam’s growing population. The NC-Model was implemented to spatially quantify six ecosystem services within a ‘business-as-usual’ scenario (only residential and population expansion considered) and three scenarios that capture changes in green infrastructure from the implementation of strategies from the Green Quality Impulse. Incorporation of local knowledge and data enabled quantification of ecosystem services at a high spatial resolution and identification of key factors that influence ecosystem service delivery. Such an approach can support urban planners who wish to better-understand the mechanism by which green infrastructure generates value for urban dwellers, to develop scientifically-sound spatial strategies that optimize ecosystem service supply and use, and to further communicate this information to decision-makers, investors, and local inhabitants in an accessible manner.

Suggested Citation

  • Paulin, M.J. & Remme, R.P. & de Nijs, T. & Rutgers, M. & Koopman, K.R. & de Knegt, B. & van der Hoek, D.C.J. & Breure, A.M., 2020. "Application of the Natural Capital Model to assess changes in ecosystem services from changes in green infrastructure in Amsterdam," Ecosystem Services, Elsevier, vol. 43(C).
    • Handle: RePEc:eee:ecoser:v:43:y:2020:i:c:s2212041620300565
    DOI: 10.1016/j.ecoser.2020.101114
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    Cited by:

    1. Schibalski, Anett & Kleyer, Michael & Maier, Martin & Schröder, Boris, 2022. "Spatiotemporally explicit prediction of future ecosystem service provisioning in response to climate change, sea level rise, and adaptation strategies," Ecosystem Services, Elsevier, vol. 54(C).
    2. Paulin, M.J. & Rutgers, M. & de Nijs, T. & Hendriks, A.J. & Koopman, K.R. & Van Buul, T. & Frambach, M. & Sardano, G. & Breure, A.M., 2020. "Integration of local knowledge and data for spatially quantifying ecosystem services in the Hoeksche Waard, the Netherlands," Ecological Modelling, Elsevier, vol. 438(C).
    3. Veerkamp, Clara J. & Schipper, Aafke M. & Hedlund, Katarina & Lazarova, Tanya & Nordin, Amanda & Hanson, Helena I., 2021. "A review of studies assessing ecosystem services provided by urban green and blue infrastructure," Ecosystem Services, Elsevier, vol. 52(C).
    4. Veerkamp, C.J. & Loreti, M. & Benavidez, R. & Jackson, B & Schipper, A.M., 2023. "Comparing three spatial modeling tools for assessing urban ecosystem services," Ecosystem Services, Elsevier, vol. 59(C).
    5. Donatella Valente & María Victoria Marinelli & Erica Maria Lovello & Cosimo Gaspare Giannuzzi & Irene Petrosillo, 2022. "Fostering the Resiliency of Urban Landscape through the Sustainable Spatial Planning of Green Spaces," Land, MDPI, vol. 11(3), pages 1-13, March.
    6. Liu, Hongxiao & Hamel, Perrine & Tardieu, Léa & Remme, Roy P. & Han, Baolong & Ren, Hai, 2022. "A geospatial model of nature-based recreation for urban planning: Case study of Paris, France," Land Use Policy, Elsevier, vol. 117(C).
    7. Kuiper, Jan Jurjen & Carpenter-Urquhart, Liam & Berbés-Blázquez, Marta & Rozas, Elisa Oteros & Fredström, Linna & Psiuk, Kinga & Savu, Codruța & Kautsky, Robert & Guerry, Anne & Carpenter, Stephen R., 2023. "Biosphere Futures: a database of social-ecological scenarios," SocArXiv v4ukj, Center for Open Science.

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