Decision support framework for evaluating the operational environment of forest bioenergy production and use: Case of four European countries.

Complex policy-making situations around bioenergy production and use require examination of the operational environment of the society and a participatory approach. This paper presents and demonstrates a three-phase decision-making framework for analysing the operational environment of strategies related to increased forest bioenergy targets. The framework is based on SWOT (strengths, weaknesses, opportunities and threats) analysis and the Simple Multi-Attribute Rating Technique (SMART). Stakeholders of four case countries (Finland, Germany, Norway and Slovenia) defined the factors that affect the operational environments, classified in four pre-set categories (Forest Characteristics and Management, Policy Framework, Technology and Science, and Consumers and Society). The stakeholders participated in weighting of SWOT items for two future scenarios with SMART technique. The first scenario reflected the current 2020 targets (the Business-as-Usual scenario), and the second scenario contained a further increase in the targets (the Increase scenario). This framework can be applied to various problems of environmental management and also to other fields where public decision-making is combined with stakeholders' engagement. The case results show that the greatest differences between the scenarios appear in Germany, indicating a notably negative outlook for the Increase scenario, while the smallest differences were found in Finland. Policy Framework was a highly rated category across the countries, mainly with respect to weaknesses and threats. Intensified forest bioenergy harvesting and utilization has potentially wide country-specific impacts which need to be anticipated and considered in national policies and public dialogue.

Evaluating collaborative planning methods supporting programme-based planning in natural resource management.

Programme-based Planning of Natural Resources (PBPNR) is an evolving planning frame for solving complex land use, environmental and forest management problems within hierarchically administrated funding and decision-making schemes. PBPNR acknowledges that an effective planning process requires the combined consideration of environmental, technological, economic and socio-political factors. To reach acceptability, commitment and operability, PBPNR processes need to foster collaboration and learning. For this study, an analysis of 43 collaborative planning methods was conducted to examine their potential to be applied within PBPNR. We present the approach of screening the applicability of methods for specific needs that may occur in PBPNR. The approach is based on a list of key criteria for the phases of a collaborative planning process: problem identification, problem modelling and problem solving. The features of each method were qualitatively assessed and peer-reviewed by a team of experts. Most of the methods are able to deal with qualitative data, support processes to increase transparency in planning and capture the preferences of the participating stakeholders. They also produce understandable results for the three phases. Contrarily, many methods do not offer features to handle uncertainty, nor do they satisfactorily stimulate creativity and innovation in the planning process. The results show that the overall applicability of the reviewed methods for the three planning phases varies according to a cluster analysis basing on the capabilities of the methods. Methods such as "Planning for Real", "Open Space" and "A'WOT" seem to be particularly promising for a broad range of planning situations.