Home About Browse Search
Svenska


Decision support for participatory forest planning using AHP and TOPSIS

Nilsson, Hilma and Nordström, Eva-Maria and Öhman, Karin (2016). Decision support for participatory forest planning using AHP and TOPSIS. Forests. 7:5, 1-17
[Journal article]

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

933kB

Official URL: http://dx.doi.org/10.3390/f7050100

Abstract

Long-term forest management planning often involves several stakeholders with conflicting objectives, creating a complex decision process. Multiple-criteria decision analysis (MCDA) presents a promising framework for finding solutions in terms of suitable trade-offs among the objectives. However, many of the MCDA methods that have been implemented in forest management planning can only be used to compare and evaluate a limited number of management plans, which increases the risk that the most suitable plan is not included in the decision process. The aim of this study is to test whether the combination of two MCDA methods can facilitate the evaluation of a large number of strategic forest management plans in a situation with multiple objectives and several stakeholders. The Analytic Hierarchy Process (AHP) was used to set weights for objectives based on stakeholder preferences and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to produce an overall ranking of alternatives. This approach was applied to a case study of the Vilhelmina municipality, northern Sweden. The results show that the combination of AHP and TOPSIS is easy to implement in participatory forest planning and takes advantage of the capacity of forest decision support systems to create a wide array of management plans. This increases the possibility that the most suitable plan for all stakeholders will be identified.

Authors/Creators:Nilsson, Hilma and Nordström, Eva-Maria and Öhman, Karin
Title:Decision support for participatory forest planning using AHP and TOPSIS
Series/Journal:Forests (1999-4907)
Year of publishing :2016
Volume:7
Number:5
Page range:1-17
Number of Pages:17
Publisher:MDPI
ISSN:1999-4907
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Agrovoc terms:forest management plans
Keywords:Analytic Hierarchy Process, forest decision support system, forest management, the Heureka system, multiple criteria decision analysis, multiple objectives, Technique for Order Preference by Similarity to Ideal Solution
URN:NBN:urn:nbn:se:slu:epsilon-e-4114
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-4114
Additional ID:
Type of IDID
Web of Science (WoS)000377793800009
DOI10.3390/f7050100
ID Code:14238
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:20 Apr 2017 08:40
Metadata Last Modified:20 Apr 2017 08:40

Repository Staff Only: item control page