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 (https://doi.org/10.1016/j.ecoser.2019.101049)
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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
ORCID iDs
Mustajoki, Jyri, Saarikoski, Heli, Belton, Valerie ORCID: https://orcid.org/0000-0003-2555-1469, Hjerppe, Turo and Marttunen, Mika;-
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Item type: Article ID code: 70768 Dates: DateEvent1 February 2020Published25 November 2019Published Online8 November 2019AcceptedSubjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 11 Dec 2019 10:11 Last modified: 02 Dec 2024 01:22 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/70768