Use of interactive data visualization in multi-objective forest planning.

Common to multi-objective forest planning situations is that they all require comparisons, searches and evaluation among decision alternatives. Through these actions, the decision maker can learn from the information presented and thus make well-justified decisions. Interactive data visualization is an evolving approach that supports learning and decision making in multidimensional decision problems and planning processes. Data visualization contributes the formation of mental image data and this process is further boosted by allowing interaction with the data. In this study, we introduce a multi-objective forest planning decision problem framework and the corresponding characteristics of data. We utilize the framework with example planning data to illustrate and evaluate the potential of 14 interactive data visualization techniques to support multi-objective forest planning decisions. Furthermore, broader utilization possibilities of these techniques to incorporate the provisioning of ecosystem services into forest management and planning are discussed.

Is enhanced biodiversity protection conflicting with ambitious bioenergy targets in eastern Finland?

The study describes how qualitative stakeholder feedback can be used in quantitative scenarios to simulate forest resource use under alternative management objectives. In earlier studies in the region of eastern Finland, stakeholders did not see a possible conflict between increased bioenergy use and nature conservation; this finding is contrary to the results of other studies. The aim of this study was to test with a quantitative modelling approach whether the stakeholder expectation holds and whether forest management in eastern Finland can simultaneously increase biomass utilization and biodiversity protection. Prior to this study, three alternative scenarios on forest resource use were created in a participatory stakeholder process, involving a broad range of stakeholders, with half of them being from research and education. In the current study, a large-scale forest resource planning model (MELA) and a sustainability impact assessment tool (ToSIA) were used to simulate the different alternative scenarios and present the results back to the stakeholders in order to evaluate them. The scenarios were evaluated by stakeholders using multi-criteria analysis. In a survey, the stakeholders indicated that biodiversity, employment, recreational value and greenhouse gas emissions were the most important indicators to them, whereas growing stock, amount of harvested roundwood, energy wood and protected forest area were considered less important. Of the created scenarios, the scenario combining bioenergy and biodiversity targets was the most preferred by the stakeholders as it performed well on those indicators that were identified by stakeholders as the most important. In this scenario, the area of protected forest and bioenergy production were increased simultaneously. With this study we offer a framework for evaluating different alternatives for future land use. The framework helps to identify key issues that are important to the stakeholders so that they can be taken into consideration in future land-use planning. In addition, the results confirm the stakeholder expectation that by protecting more forests while simultaneously increasing the mobilization of potentially available wood resources, both targets can be met without compromising too much other forest functions such as timber production and recreation.

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.

Stakeholder engagement in scenario development process - bioenergy production and biodiversity conservation in eastern Finland.

In this study participatory approaches were used to develop alternative forest resource management scenarios with particular respect to the effects on increased use of forest bioenergy and its effect on biodiversity in Eastern Finland. As technical planning tools, we utilized a forest management planning system (MELA) and the Tool for Sustainability Impact Assessment (ToSIA) to visualize the impacts of the scenarios. We organized a stakeholder workshop where group discussions were used as a participatory method to get the stakeholder preferences and insights concerning forest resource use in the year 2030. Feedback from the workshop was then complemented with a questionnaire. Based on the results of the workshop and a questionnaire we developed three alternative forest resource scenarios: (1) bioenergy 2030 - in which energy production is more centralized and efficient; (2) biodiversity 2030 - in which harvesting methods are more nature friendly and protected forests make up 10% of the total forest area; and (3) mixed bioenergy + biodiversity 2030 scenario - in which wood production, recreation and nature protection are assigned to the most suitable areas. The study showed that stakeholder engagement combined with the MELA and ToSIA tools can be a useful approach in scenario development.

Evaluating the management strategies of a forestland estate--the S-O-S approach.

Connecting Multiple Criteria Decision Support (MCDS) methods with SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis yields analytical priorities for the factors included in SWOT analysis and makes them commensurable. In addition, decision alternatives can be evaluated with respect to each SWOT factor. In this way, SWOT analysis provides the basic frame within which to perform analyses of decision situations. MCDS methods, in turn, assist in carrying out SWOT more analytically and in elaborating the results of the analyses so that alternative strategic decisions can be prioritized also with respect to the entire SWOT. The A'WOT analysis is an example of such hybrid methods. It makes combined use of the Analytic Hierarchy Process (AHP) and SWOT. In this study, a hybrid method of the Stochastic Multicriteria Acceptability Analysis with Ordinal criteria (SMAA-O) and SWOT is developed as an elaboration of the basic ideas of A'WOT. The method is called S-O-S (SMAA-O in SWOT). SMAA-O enables the handling of ordinal preference information as well as mixed data consisting of both ordinal and cardinal information. Using SMAA-O is enough to just rank decision elements instead of giving them cardinal preference or priority ratios as required by the most commonly used MCDS methods. Using SMAA-O, in addition to analyzing what the recommended action is under certain priorities of the criteria, enables one to analyze what kind of preferences would support each action. The S-O-S approach is illustrated by a case study, where the shareholders of a forest holding owned by a private partnership prepared the SWOT analysis. Six alternative strategies for the management of their forest holding and of old cottage located on the holding were formed. After S-O-S analyses were carried out, one alternative was found to be the most recommendable. However, different importance orders of the SWOT groups would lead to different recommendations, since three of the six alternatives were efficient according to S-O-S analyses.