Europe’s future wood demand for energy is expected to increase by 10 million to 200 million m3 in the period 2010- 2030. This will be supplied by both domestic sources (forests, industrial residues post-consumer wood waste), but also from sources outside Europe. The EU-28 predicts a near future (2020) gap between solid biomass supply and demand for renewable energy: 21.4 million tonnes of oil equivalents (MTOE). This is estimated via preliminary renewable energy action plans (NREAP’s) per country. The EU-28 expects wood pellet import will merely complete this gap of 21.4 MTOE, with more than 50 million tonnes of pellets. This implies a feedstock need of 125 million m3 of wood from forests and other sources outside the EU-28. A practical approach to include bioenergy in wood sector models should start with the input of wood pellets. Ideally, three types of bioenergy markets should be considered, in which pellets and the other major woody feedstock are included: 1. Large scale power production (the UK, Belgium, the Netherlands, all importing pellets from outside the EU-28); 2. Medium scale combined heat and power (CHP’s) including those in the forest sector (Nordic countries use pellets and chips for energy, merely imported from the EU-28); 3. Small scale residential heating (Germany, Austria and Italy, using wood pellets and logs from regional sources). We suggest starting with inclusion of medium scale CHP’s, followed by large scale power production. Small scale heating is relatively stable and should not have large impacts on future markets.

Forest industry consists of two related industries forestry and wood processing. Wood processing industry, which is a direct consumer of timber resources generated by forestry sector is eager to search for an answer about kind and amount of round wood they can count on in long term period. In Latvia for every five years State Forest Service calculates cutting volumes for the state owned forests based on models which do not guarantee safe long term income maximization. Long term cutting volumes and assortments in privately owned forests have not been analyzed very deeply. The aim of the research was to estimate the hypothetic amount of different timber resources available in the territory of Latvia for wood processing industry within next hundred years and look at geographic location of timber resources and woodworking companies. Research results showed that forests in Latvia are not being depleted and current annual cutting volumes could be increased. Geographic observation of primary wood processing companies showed that most of them are located close to large cities or near main roads of Latvia. This location makes easier round wood deliveries to factory and facilitates transportation of produced goods to an end customer. To clarify where and what profile (softwood or hardwood) production volumes should be increased, model of timber resource demand indicator was implemented.

Spatial modifications should be introduced in areas where members of the local community actively participate in consolidation projects. Social acceptance is the key prerequisite for successful land consolidation. How should the sequence of land consolidation measures be planned in a rural area whose inhabitants have not expressed their opinions about the project? Are the existing criteria, which are applied to evaluate land consolidation measures mostly in agricultural regions, sufficient? Scientists and practitioners have been developing criteria that should be taken into account in the process of planning land consolidation measures. This article analyzes the criteria for planning land consolidation measures in Poland. Most of them are based on economic parameters, such as farm fragmentation, average land plot area, average farm area, shape of farm fields, proportion of plot sides. A criterion that is disregarded in the planning process is the local community’s attitude to the undertaking. This article attempts to define additional criteria for planning land consolidation measures based on the local community’s attitude to the project. The study was carried out in the Lublin Region, which is characterized by the highest number of land consolidation schemes in Poland. Attempts were made to describe social activity levels in the region’s rural municipalities. The selection of variables characterizing the local community was a key stage of the study. Variables that were indirectly indicative of social activity were included in the analysis: voter turnout in elections, municipal councilors’ level of education, number of non-governmental organizations, and number of local action groups.