Utilizing ecosystem service classifications in multi-criteria decision analysis – Experiences of peat extraction case in Finland

Mustajoki, Jyri and Saarikoski, Heli and Belton, Valerie and Hjerppe, Turo and Marttunen, Mika (2020) Utilizing ecosystem service classifications in multi-criteria decision analysis – Experiences of peat extraction case in Finland. Ecosystem Services, 41. 101049. ISSN 2212-0416

[img] Text (Mustajoki-etal-ES-2020-Utilizing-ecosystem-service-classifications-in-multi-criteria-decision-analysis)
Mustajoki_etal_ES_2020_Utilizing_ecosystem_service_classifications_in_multi_criteria_decision_analysis.pdf
Accepted Author Manuscript
Restricted to Repository staff only until 25 November 2020.
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo

Download (707kB) | Request a copy from the Strathclyde author

    Abstract

    The Ecosystem Service concept is a widely used framework to examine the links between the functioning of ecosystems and human well-being. There is a broad range of ecosystem services, which are often classified hierarchically as provisioning, regulating and cultural services. Multi-Criteria Decision Analysis (MCDA), an approach for analyzing complex problems that involve trade-offs between multiple objectives, has increasingly been applied in the ecosystem service context. In MCDA, a problem is typically represented hierarchically as a value tree, which resembles the hierarchical structure of the ecosystem service classifications. However, in practice, there are several potential pitfalls that could distort the analysis, if some commonly used ecosystems service classification was directly used as the basis of an MCDA value tree. In this paper, we discuss these potential pitfalls and how to avoid them. Our discussion is illustrated with experience from a case study focusing on the ecosystem services provided by the peatlands in Finland