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Forests 2017, 8(4), 116; doi:10.3390/f8040116

Multicriteria Decision Analysis and Participatory Decision Support Systems in Forest Management

1
Department of Techniques and Projects in Engineering and Architecture, University of La Laguna, 38200 Canary Islands, Spain
2
CEDESOG-Department of Applied Economics and Qualitative Methods, University of La Laguna, 38200 Canary Islands, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Jan Kašpar, Pete Bettinger, Harald Vacik, Róbert Marušák and Jordi Garcia-Gonzalo
Received: 17 February 2017 / Revised: 5 April 2017 / Accepted: 5 April 2017 / Published: 10 April 2017
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Abstract

Growing concern about issues such as environmental quality or the sustainability of natural resources has led to the use of the Decision Support System (DSS), which originated in the business field, and is now part of environmental decision-making processes. The presence of environmental, social, or economic dimensions has helped decision support systems to evolve to be able to tackle investigations that can contemplate all these variables, such as in the case of multicriteria decision analyses. In addition, new lifestyles, in which society recognizes more and more the contribution of forests to its welfare, have led to the need to involve stakeholders in decision-making processes. This article presents a review of different Multicriteria Decision Analysis (MCDA) and participatory decision support systems applied to forest environments. This last point is presented from the perspective of stakeholder participation in the processes and from the point of view of procedures or tools used. To do this, some of the research performed in forest environments within this current century is reviewed. View Full-Text
Keywords: DSS; MCDA; forest management; stakeholders’ participation; integrated assessment DSS; MCDA; forest management; stakeholders’ participation; integrated assessment
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Acosta, M.; Corral, S. Multicriteria Decision Analysis and Participatory Decision Support Systems in Forest Management. Forests 2017, 8, 116.

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