IDEAS home Printed from https://ideas.repec.org/a/spr/envsyd/v43y2023i4d10.1007_s10669-023-09933-y.html
   My bibliography  Save this article

Optimisation of selection and placement of nature-based solutions for climate adaptation: a literature review on the modelling and resolution approaches

Author

Listed:
  • Justin Capgras

    (Ecole des Ponts ParisTech
    Mitigrate)

  • Felicien Barhebwa Mushamuka

    (Mitigrate)

  • Laurent Feuilleaubois

    (Mitigrate)

Abstract

Nature-Based Solutions can be considered one of the best answers to the various consequences and problems caused by climate change, poor urbanisation and population growth. They are used not only as measures for the protection, sustainable management and restoration of natural and modified ecosystems but also as measures to mitigate certain natural disasters such as erosion, flooding, drought, storm surge and landslide. The benefit is for both biodiversity and human well-being. This paper reviews articles about optimising the selection and placement of Nature-Based Solutions. It presents several Operations Research approaches used in the context of climate adaptation. The analysis provided in this paper focuses on various case studies, state-of-the-art on Nature-Based Solutions, Operations Research algorithms, dissertations, and other papers dealing with infrastructure placement approaches in the context of climate adaptation.

Suggested Citation

  • Justin Capgras & Felicien Barhebwa Mushamuka & Laurent Feuilleaubois, 2023. "Optimisation of selection and placement of nature-based solutions for climate adaptation: a literature review on the modelling and resolution approaches," Environment Systems and Decisions, Springer, vol. 43(4), pages 577-598, December.
    • Handle: RePEc:spr:envsyd:v:43:y:2023:i:4:d:10.1007_s10669-023-09933-y
    DOI: 10.1007/s10669-023-09933-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10669-023-09933-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10669-023-09933-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:envsyd:v:43:y:2023:i:4:d:10.1007_s10669-023-09933-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.