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[en] This report describes a proposed interdisciplinary research program to develop support tools to help decision-makers in forestry to adapt forest management practices to meet challenges posed by anticipated, but uncertain, climatic changes. The Climate and the forest Committee at the Royal Swedish Academy of Agriculture and Forestry (KSLA) invited around 30 scientists from different disciplines to a two-day workshop. During the workshop objectives, goals, and methods for a research program were formulated. The participants of the workshop subsequently made contributions to this document, which has been completed by the four named editors. Climate changes would inevitably affect Swedish forestry. The forests have a direct effect on the climate and forestry may have to adapt to the new conditions. Uncertainties about the future climate pose new challenges for forest management of which we have no experience. To support decision-making in this new situation we need new knowledge as well as rational methods to handle uncertainty and risk. Despite uncertainties in the climate scenarios and lack of knowledge about the responses of forests to likely climatic changes, we can still predict some probable effects of anticipated warming on the Swedish forests. Increased potential for biomass production can be expected, as well as greater opportunities to utilise new tree species in commercial forestry. At the same time, the risks for several kind of damage is likely to increase. The basic assumption underlying this research program is that knowledge of likely climate changes and associated uncertainties will increase the possibility to achieve forestry objectives. We advocate a research program consisting of the following three modules, each focusing on different aspects of these issues: Module 1 FORESTRY with the objectives to: Develop a framework to handle uncertainty and risks in forestry. Develop decision-maps that systematically describe the consequences of both single and series of management decisions. Develop support information for decision-makers in forestry. Develop scenarios for future forest management and land-use. Module 2 FOREST with the objectives to: Develop models that describe the relationship between the climate and forest biomass production. Estimate probabilities of changes in damage risks under future climate scenarios by establishing relationships between changes in climatic factors and single biotic and abiotic damage factors. Make new knowledge available for consulting and decision support to forest owners. Module 3 CLIMATE with the objectives to: Increase our basic understanding of the connections between the regional climate system and the forest. Develop new tools, more extensive climate data and useful scenarios for the other two modules. To fulfil the objectives of the program a well developed interdisciplinary approach and deep integration between the modules are essential. The three modules are mutually dependent on each other to achieve both their specific objectives and the overall objectives of the research program
[en] Expansion of offshore wind power plays a significant role in the energy policies of many EU countries. However, offshore wind farms create visual disamenities. These disamenities can be reduced by siting wind farms at larger distances from the coast - and accepting higher costs per kWh produced. In this paper willingness to pay for reducing the visual disamenities from future offshore wind farms is elicited using the economic valuation method Choice Experiments. The valuation scenario comprises the location of 720 offshore wind turbines (equivalent to 3600 MW) in farms at distances equal to: 12, 18 or 50 km from the shore, relative to an 8 km baseline. Using a fixed effect logit model average willingness to pay amounts were estimated as: 46, 96 and 122 Euros/household/year for having the wind farms located at 12, 18 and 50 km from the coast as opposed to 8 km. The results also reveal that WTP deviates significantly depending on the age of respondents and their experiences with offshore wind farms. (author)
[en] This paper studies different concentration and dominance measures using structural indexes used to initially screen the competitive situation in a market. The Nordic and Swedish electricity markets are used as the empirical cases. Market concentration issues in the Nordic electricity market in general and in Sweden in particular have been, at least in initial screenings, approached by the Herfindahl-Hirschman Index (HHI). This article uses an alternative measure to HHI, which is based on market shares of the two largest firms in the market. The results shows that only the Swedish wholesale market has a firm that can be regarded as dominant, but only during very short periods. The results from a hypothetical merger between the second and third largest company in the Swedish wholesale market shows that when the dominant position of the largest firm is reduced, by increasing the size of the second largest firm, the threshold value indicates that competition actually will increase (contradicting to the HHI).