4.7 Article Proceedings Paper

Using multi-criteria analysis and visualisation for sustainable forest management planning with stakeholder groups

Journal

FOREST ECOLOGY AND MANAGEMENT
Volume 207, Issue 1-2, Pages 171-187

Publisher

ELSEVIER
DOI: 10.1016/j.foreco.2004.10.032

Keywords

criteria and indicators; decision-support systems; forest management plans; multi-criteria analysis; participatory decision-support; public involvement; sustainable forest management; visualisation

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While there is an increasing demand for active public involvement in forestry decision-making, there are as yet few successful models for achieving this in the new sustainable forest management (SFM) context. This paper describes the special needs of forest managers conducting participatory SFM planning in a sometimes-polarized public context, and outlines criteria for designing decision-support processes to meet these needs. These criteria were used to develop a new approach to public participation in British Columbia, by means of a pilot study using multi-criteria analysis of forest management scenarios while integrating public priorities. Researchers, working with stakeholder groups in the Arrow Forest District, obtained public weightings of criteria and indicators for SFM. Alternative forest management scenarios were presented using realistic 3D landscape visualisations. Modelling-based expert evaluations of the scenarios were weighted according to the priorities of the stakeholder groups, in order to test implications for scenario preferences. There was considerable commonality of results among groups, with general agreement between experts and stakeholder groups on scenario preferences. Based on the results and participant evaluations, techniques such as this appear effective as decision-support tools in conflict-prone areas. Pilot studies like these can play a vital role in developing a more comprehensive, engaging, open and accountable process to support informed and socially acceptable decision-making for sustainable forest management. (c) 2004 Elsevier B.V. All rights reserved.

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