Decision support for participatory forest planning using AHP and TOPSIS
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, ma...
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ftslunivuppsala:oai:pub.epsilon.slu.se:14238 2023-05-15T17:44:48+02:00 Decision support for participatory forest planning using AHP and TOPSIS Nilsson, Hilma Nordström, Eva-Maria Öhman, Karin 2016 application/pdf https://pub.epsilon.slu.se/14238/ https://pub.epsilon.slu.se/14238/1/nilsson_et_al_170420.pdf https://doi.org/10.3390/f7050100 en eng eng https://pub.epsilon.slu.se/14238/1/nilsson_et_al_170420.pdf 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 [Research article] cc_by_4 CC-BY Forest Science Research article PeerReviewed info:eu-repo/semantics/article 2016 ftslunivuppsala https://doi.org/10.3390/f7050100 2022-01-09T19:14:14Z 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. Article in Journal/Newspaper Northern Sweden Swedish University of Agricultural Sciences (SLU): Epsilon Open Archive Forests 7 12 100 |
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Open Polar |
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Swedish University of Agricultural Sciences (SLU): Epsilon Open Archive |
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ftslunivuppsala |
language |
English |
topic |
Forest Science |
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Forest Science Nilsson, Hilma Nordström, Eva-Maria Öhman, Karin Decision support for participatory forest planning using AHP and TOPSIS |
topic_facet |
Forest Science |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Nilsson, Hilma Nordström, Eva-Maria Öhman, Karin |
author_facet |
Nilsson, Hilma Nordström, Eva-Maria Öhman, Karin |
author_sort |
Nilsson, Hilma |
title |
Decision support for participatory forest planning using AHP and TOPSIS |
title_short |
Decision support for participatory forest planning using AHP and TOPSIS |
title_full |
Decision support for participatory forest planning using AHP and TOPSIS |
title_fullStr |
Decision support for participatory forest planning using AHP and TOPSIS |
title_full_unstemmed |
Decision support for participatory forest planning using AHP and TOPSIS |
title_sort |
decision support for participatory forest planning using ahp and topsis |
publishDate |
2016 |
url |
https://pub.epsilon.slu.se/14238/ https://pub.epsilon.slu.se/14238/1/nilsson_et_al_170420.pdf https://doi.org/10.3390/f7050100 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
https://pub.epsilon.slu.se/14238/1/nilsson_et_al_170420.pdf 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 [Research article] |
op_rights |
cc_by_4 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/f7050100 |
container_title |
Forests |
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7 |
container_issue |
12 |
container_start_page |
100 |
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1766147080357675008 |