 |
| Titel |
A decision analysis framework for stakeholder involvement and learning in groundwater management |
| VerfasserIn |
T. P. Karjalainen, P. M. Rossi, P. Ala-Aho, R. Eskelinen, K. Reinikainen, B. Kløve, M. Pulido-Velazquez, H. Yang |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 12 ; Nr. 17, no. 12 (2013-12-18), S.5141-5153 |
| Datensatznummer |
250086035
|
| Publikation (Nr.) |
 copernicus.org/hess-17-5141-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| Multi-criteria decision analysis (MCDA) methods are increasingly used to
facilitate both rigorous analysis and stakeholder involvement in natural and
water resource planning. Decision-making in that context is often complex
and multi-faceted with numerous trade-offs between social, environmental and
economic impacts. However, practical applications of decision-support
methods are often too technically oriented and hard to use, understand or
interpret for all participants. The learning of participants in these
processes is seldom examined, even though successful deliberation depends on
learning. This paper analyzes the potential of an interactive MCDA
framework, the decision analysis interview (DAI) approach, for facilitating
stakeholder involvement and learning in groundwater management. It evaluates
the results of the MCDA process in assessing land-use management
alternatives in a Finnish esker aquifer area where conflicting land uses
affect the groundwater body and dependent ecosystems. In the assessment
process, emphasis was placed on the interactive role of the MCDA tool in
facilitating stakeholder participation and learning. The results confirmed
that the structured decision analysis framework can foster learning and
collaboration in a process where disputes and diverse interests are
represented. Computer-aided interviews helped the participants to see how
their preferences affected the desirability and ranking of alternatives.
During the process, the participants' knowledge and preferences evolved as
they assessed their initial knowledge with the help of fresh scientific
information. The decision analysis process led to the opening of a dialogue,
showing the overall picture of the problem context and the critical issues
for the further process. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|