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Forest management in Ireland has traditionally focused on timber production and policies have been implemented with this in mind. Since the mid-1990s, the focus is transitioning from timber production to a more multifunctional forest management approach following the principles of sustainable forest management. A method known as &ldquo, backcasting&rdquo, has the potential to include local stakeholders into land-use and policy planning. Two case study areas were chosen to investigate the potential of backcasting for integrated forest landscape planning in Ireland: Western Peatlands and Newmarket. Potential beneficial policies produced by local stakeholders in participatory workshops were assessed for robustness using a goal programming model and the resulting changes in forest management and ecosystem service provisions were analysed. While each evaluated backcasting policy increased the provision of that policy&rsquo, s targeted ecosystem service(s), it was at a cost to some others. The widening of buffer zones did reduce the landscape level risk to water sedimentation and the policy to enhance each landscape&rsquo, s recreation potential did the intended. However, both policies reduced the amount of timber produced for most potential futures. The option of using genetically improved tree species showed potential to mitigate the effect of these policies on timber production. We present this study as a useful reference point toward evaluating the efficacy of a range of potentially implementable scenarios in Ireland. We believe the backcasting approach has promise for future use in other landscapes, given the success of this approach in our study. Given that much of the information required to model the ecosystem services was extracted from scientific research and datasets from outside of Ireland, the approach may well be useful for others seeking to do similar outside of Ireland.

Research Highlights: Predicting impacts on forest management of Climate Change (CC) and dynamic timber prices by incorporating these external factors in a Forest Management Decision Support System (FMDSS). Background and Objectives: Forest managers must comply with Sustainable Forest Management (SFM) practices, including considering the long-term impacts that CC and the bioeconomy may have on their forests and their management. The aims of this study are: (1) incorporate the effects of CC and Dynamic Prices (DP) in a FMDSS that was developed for Ireland’s peatland forests, (2) analyse the impact of global climate and market scenarios on forest management and forest composition at the landscape level. Materials and Methods: Remsoft Woodstock is a strategic planning decision support system that is widely used for forest management around the world. A linear programming model was developed for Ireland’s Western Peatland forests while using Woodstock. Data from Climadapt, which is an expert-based decision support system that was developed in Ireland, were used to include CC effects on forest productivity and species suitability. Dynamic market prices were also included to reflect the changing demands for wood fibre as part of the European Union (EU) and global effort to mitigate CC. Results: DP will likely have more impact on harvest patterns, volumes, and net present value than CC. Higher assortment prices, especially for pulpwood, stimulate the harvesting of forests on marginal sites and off-set some of the negative CC growth impacts on forest profitability. Conclusions: Incorporating CC and bioeconomy prices in a forest decision support system is feasible and recommendable. Foresters should incorporate the expected global changes in their long-term management planning to mitigate the negative effects that un-informed management decisions can have on the sustainability of their forests.

Recent studies have highlighted land-use conflicts between stakeholder groups in Ireland. Some of these conflicts can be attributed to European directives, designed with sustainable forest management principles in mind, but imposing incoherencies for land-owners and stakeholders at the local level. This study, using Ireland’s Western Peatland forests as a case study area, focused on the development and implementation of a goal programming model capable of analysing the long term impact of policy and industry changes at the landscape level. The model captures the essential aspects of the changes identified by local level stakeholders as influencing forest management in Ireland and determines the future impact of these changes on ecosystem services provisions. Initially, a business as usual potential future is generated. This is used as a baseline against which to compare the impact of industry and policy changes. The model output indicated that the current forest composition is only really suited to satisfy a single, financial objective for forest management. The goal programming model analysed multiple objectives simultaneously and the results indicated that the stakeholders’ desired ecosystem service provisions in the future will be more closely met by diversifying the forest estate and/or by changing to an alternative, non-forest land-use on less productive areas.