Selecting methods for ecosystem service assessment: A decision tree approach

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  • Paula A. Harrison
  • Robert Dunford
  • David Barton
  • Eszter Keleman
  • Berta Martin- Lopez
  • Lisa Norton
  • Heli Saarikoski
  • Kees Hendriks
  • Eric Gómez-Baggethun
  • Bálint Czúcz
  • Marina García Llorente
  • David Howard
  • Sander Jacobs
  • Martin Karlsen
  • Leena Kopperoinen
  • Anders Madsen
  • Graciela M. Rusch
  • Michiel Eupen
  • Peter Verweij
  • Rognvald Smith
  • Diana Tuomasjukka
  • Grazia Zulian
A range of methods are available for assessing ecosystem services. Methods differ in their aims; from mapping and modelling the supply and demand of ecosystem services to appraising their economic and non-economic importance through valuation techniques. Comprehensive guidance for the selection of appropriate ecosystem service assessment methods that address the requirements of different decision-making contexts is lacking. This paper tackles this gap using the experience from 27 case studies which applied different biophysical, socio-cultural and monetary valuation methods to operationalise the ecosystem service concept towards sustainable land, water and urban management. A survey of the reasons why the case study teams selected particular methods revealed that stakeholder-oriented reasons, such as stakeholder participation, inclusion of local knowledge and ease of communication, and decision-oriented reasons, such as the purpose of the case study and the ecosystem services at stake, were key considerations in selecting a method. Pragmatic reasons such as available data, resources and expertise were also important factors. This information was used to develop a set of linked decision trees, which aim to provide guidance to researchers and practitioners in choosing ecosystem service assessment methods that are suitable for their context.
OriginalsprogEngelsk
TidsskriftEcosystem Services
Vol/bind29
Udgave nummerC
Sider (fra-til)481-498
Antal sider18
ISSN2212-0416
DOI
StatusUdgivet - feb. 2018
Eksternt udgivetJa

    Forskningsområder

  • Guidance, Method, Decision trees, Biophysical, Monetary, Socio-cultural

ID: 188784614