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Integrating multiple criteria decision analysis into participatory forest planning

Nordström, Eva-Maria (2010). Integrating multiple criteria decision analysis into participatory forest planning. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2010:77
ISBN 978-91-576-7522-4
[Doctoral thesis]

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Following the development of sustainable forest management, the focus of forest planning has shifted from being exclusively concerned with timber production to encompassing other benefits of forests as well, e.g. biodiversity and recreation. This frequently results in forest planning situations with multiple stakeholders and con-flicting objectives. Tools for handling these complex situations are needed, and one such tool that has been tested is the integration of multiple criteria decision analysis (MCDA) into participatory planning. This thesis is based upon case studies in which approaches for integrating MCDA into a participatory forest planning process were examined, by assessing both the in-tegrated process as a whole and focusing specifically on how stakeholder values are included in the process and individual preferences are aggregated into a common pre¬ference. Key tools used in the studies were the Analytic Hierarchy Process (AHP) for eliciting preferences and the weighted arithmetic mean method (WAMM), the geometric mean method (GMM) and extended goal programming (EGP) for aggre¬gating individual preferences. The results show that that the integration of MCDA into participatory planning helped to structure the forest planning process in Lycksele and ensured a certain degree of transparency in the decision-making. In addition, MCDA potentially in-creased the substantive quality of decisions by balancing interests against each other, thereby producing solutions of higher overall stakeholder satisfaction. Stakeholders in¬volved in the forest planning process thought in terms of specific areas when they articulated their criteria rather than in general landscape-wide objectives. Interviews and maps were used to capture these place-specific values, but further development and testing of formal approaches for handling place-specific stakeholder values are needed. The aggregation of individual preferences into a common preference was a crucial step of the participatory MCDA process. The aggregation methods tested in the studies resulted in different rankings of alternatives because of different pro-perties. Thus, the choice of aggregation approach should be justified to avoid being arbitrary or manipulative.

Authors/Creators:Nordström, Eva-Maria
Title:Integrating multiple criteria decision analysis into participatory forest planning
Series Name/Journal:Acta Universitatis Agriculturae Sueciae
Year of publishing :2010
Number of Pages:70
ALLI. Nordström, E.-M., Eriksson, Ljusk O. & Öhman, K. (2010). Integrating multiple criteria decision analysis in participatory forest planning: experience from a case study in northern Sweden. Forest Policy and Economics 12(8), 562-574. II. Nordström, E.-M., Eriksson, Ljusk O. & Öhman K. MCDA-based participatory forest planning with consideration to general and place-specific criteria (submitted manuscript). III. Nordström, E.-M., Romero, C., Eriksson, Ljusk O. & Öhman, K. (2009). Aggregation of preferences in participatory forest planning with multiple criteria: an application to the urban forest in Lycksele, Sweden. Canadian Journal of Forest Research 39(10), 1979-1992. IV. Nordström, E.-M., Öhman, K. & Eriksson, Ljusk O. An experimental study of approaches for aggregating preferences in participatory forest planning (manuscript).
Place of Publication:Umeå
ISBN for printed version:978-91-576-7522-4
Publication Type:Doctoral thesis
Full Text Status:Public
Agrovoc terms:forest management, planning, decision making, participation, human behaviour, sustainability, recreation
Keywords:analytic hierarchy process, biodiversity, conflict management, decision making, forest management, goal programming, recreation, stakeholders
Permanent URL:
ID Code:2385
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: Eva-Maria Nordström
Deposited On:29 Oct 2010 00:00
Metadata Last Modified:02 Dec 2014 10:18

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