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Identifying interests and values in forest areas through collaborative processes and landscape resource analysis

Ida Grundel, Nina Christenson and Margareta Dahlström

Forest Policy and Economics, 2022, vol. 142, issue C

Abstract: Today's societies face significant ecological and societal challenges, including climate change and economic crises. In this context, forests can be a useful resource for new innovations and products. However, increased out-take of forest resources can raise the pressure on common forest resources and increase already existing conflicts between e.g. forestry and production versus conservation. Herein, the objective of this paper was to explore a collaborative process, namely landscape resource analysis (LRA), as a tool to identify a variety of values and sometimes conflicting interests and to improve communication about these among different stakeholders by using maps and GIS. The method was applied to a small forest area, Norra Klarälvsdalen, in Värmland County, Sweden. The area hosts a variety of forest owners, firms and companies in different sectors and several voluntary organisations with interest in the local forest. The study showed that LRA in combination with GIS has the potential to add value to collaborative processes in local planning and forest decision making processes. Even though it is difficult to guarantee broad representation in collaborative processes, the LRA served to identify a wide range of values and conflicting interests among the local participants including as well immaterial, e.g. cultural ecosystem services, as material and monetary values in the forest area. It also served as a tool for social learning and put focus on local citizens perspectives and experiences in addition to ‘experts’ of forest landscapes.

Keywords: Collaborative processes; Landscape resource analysis; Forest values; Planning and decision-making (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:forpol:v:142:y:2022:i:c:s1389934122001149

DOI: 10.1016/j.forpol.2022.102801

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