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Taxonomy Regulation as a New Instrument for the Sustainable Management of the Forest Environment in Europe
Regulation (EU) 2020/852 of the European Parliament, also known as the Taxonomy Regulation, facilitates environmentally sustainable investments. It is part of the concept of the European Green Deal and a ‘tool’ for financial institutions, enterprises, and investors, facilitating the assessment of the environmental impact of a particular project. The Regulation contains the criteria an activity must meet to be considered environmentally sustainable. The role of the Taxonomy Regulation is to enable the flow of public and private capital towards ecological and sustainable activities. The document does not need to be implemented into the legal order of individual EU member-states, which results in its direct application. The main financial instruments enabling the achievement of the goals of the Taxonomy Regulation may be green bonds and other forms of capital raising by entrepreneurs and forest ownership structures. The assumption of the Regulation is to achieve the principles of sustainable environmental activity when spending funds obtained from private investors. It is an issue of key significance to identify the areas of management and financial accounting in the operational activities of forest enterprises that can be qualified for the Taxonomy Regulation. Forestry activities, including the processes mentioned therein, the objectives of the New EU Forest Strategy, and the LULUCF Regulation, are to play an essential role in reducing greenhouse gas emissions. The role of forestry in the supply chain in its broad sense is also considered. Forestry and forest management can receive capital for sustainable development due to the threat resulting from exclusions that strengthen the protective function of the forest (the protection of biodiversity). These processes will occur at the expense of production and numerous social functions.
The Energy Potential of Firewood and By-Products of Round Wood Processing—Economic and Technical Aspects
According to most energy demand forecasts, woody biomass has the potential to become an important source of renewable energy, especially during the transitional period of energy transition. The aim of this article was to estimate the energy potential of the biomass from the forest and the biomass generated by the mechanical processing of wood raw material and also to show the spectrum of possibilities for the potential use of the biomass for energy production in Poland. This research used available statistical and literature data on the species structure of harvested wood and the qualitative and assortment structures of woody biomass. The basic parameters of the raw material were evaluated in accordance with the EU classification of energy wood. This study confirmed the relationship between the energy potential of woody biomass and energy demand in Poland. The correlation coefficient for these variables was r = 0.984. This correlation was reflected in the significant shares of biomass in the production of electricity (more than 9%) or heat (almost 14%). Energy wood resources in Poland are smaller than in other European Union countries, which affects the scale of the potential use of woody biomass for energy purposes. Nevertheless, the use of such a biomass is fully justified from the point of view of possible development.
The use of forest biomass for energy purposes in selected european countries
The utilization of primary and secondary woody biomass resources, despite controversies, is being promoted to reduce dependence on fossil fuels and due to the need to diversify energy sources and ensure energy security in European Union countries. Forest biomass is one of the renewable and sustainable energy sources that can be used for electricity, heat, and biofuel production. In the context of the ongoing energy crisis in Europe, an attempt was made to analyze the production and consumption of woody biomass for energy purposes (fuel wood, chips, and pellets). Specifically, an analysis of similarities between European countries in terms of biomass utilization was conducted. The analysis was complemented by a forecast of primary biomass production in selected European countries. The similarity analysis was conducted using the Ward method. Artificial neural networks (ANNs), including multi-layer feedforward perceptron (MLP) and radial basis function (RBF) models, were used to predict fuelwood extraction. The study showed that woody biomass remains an important source of bioenergy in Europe, and its significance as a strategic resource guaranteeing energy security is likely to increase. Fuel wood harvesting in Europe generally shows an upward trend, particularly in the Czech Republic, Germany, Estonia, Denmark, and the UK. A decreasing trend was observed in France, Spain, Greece, and Cyprus. The analysis revealed differences between countries in terms of woody biomass consumption. The ANN-based forecasts of fuelwood supply generally showed an increase in primary biomass harvesting.
Analysis of Sensory Attributes and Purchasing Decisions of Plant-Based Beverages of Young Consumers in Poland on a Vegan and Traditional Diet
This study aimed to analyse young consumers’ behaviour in Poland toward the consumption of plant-based beverages as milk alternatives. The sensory analysis included oat, buckwheat, cashew, almond, soy, pea, rice, coconut, hazelnut, and macadamia nut beverages and their mixtures. Quantitative analysis of sensory desirability and sensory profiling were employed to evaluate plant-based beverages. The study was conducted among young people (aged 18–35) who declared a vegan or omnivorous diet. It was found that the most frequently consumed beverages included oat and soy beverages, both among vegan and traditional (omnivorous) young groups. A significantly lower frequency of plant-based beverage consumption was confirmed in the group of people with an omnivorous diet. The taste characteristics in plant-based beverages are a key factor in driving sensory desirability among young consumers. Analysis of the influence of respondents’ declared diet and gender revealed no significant differences in the desirability of the taste of the plant-based beverages. The consumers rated the coconut, pea, macadamia, oat, and rice–coconut beverages as the most desirable in terms of taste. The lowest taste desirability was confirmed for the soy drink despite its high reported consumption. The importance of this study focused on the local market development in vegan food, as well as its potential due to further consumer expectations.
GL Beams Reinforced with Plywood in the Outer Layer
Glulam beams are increasingly used in the construction industry because of their high strength and the possibility of using round timber with smaller cross-sections. The load-bearing capacity of beams is strongly related to the quality of the outer layers and, in the case of wood, especially the tension zones. For these reasons, this study decided to replace the outer lamella with tensile plywood. The produced beams were subjected to static bending strength and modulus of elasticity evaluation. It was shown that the best static bending strength values were obtained for beams containing plywood in the tension layer. However, the change in structure in the tension zone of beams made of glued laminated timber results not only in an increase in the load capacity of elements produced in this way but also in a decrease in the range/range of the obtained results of bending strength. This way of modifying the construction of glued laminated beams allows a more rational use of available pine timber.
Predicting Post-Production Biomass Prices
This paper presents the application of prediction in the analysis of market price volatility in Polish conditions of wood processing by-products in the form of biomass. The ARIMA model, which takes into account cyclical, seasonal, irregular fluctuations of historical data on the basis of which the forecast and long-term trends of selected wood products were made, was used in predicting prices. Comparisons were made between the ARIMA prediction method and the multiplicative Winters–Holt model. During the period studied (2017–2022), the changes in the market price of biomass were characterized by a wide spread of values. On average, the price of these products increased from 2017 to the end of 2022 by 125%. The price prediction analysis showed seasonal fluctuations in the case of wood chips. The uncertainty in price prediction is due to changes in supply resulting from the influence of global factors. The Diebold–Mariano test of matching accuracy confirms that the price prediction of the analyzed by-product sorts using the ARIMA and WH models is possible. The conclusion reached by comparing these two methods is that each can be used under certain market conditions of certain assortments. In the case of a stable wood product, the choice of the ARIMA model should be resolved, while in the case of price volatile products, WH will be a better choice. The difference between the predicted and actual price with ARIMA ranged from 2.4% to 11.6% and for WH from 3.7% to 29.8%.
The rate of change in the salaries of employees of the State Forests compared to selected sectors of the economy in Poland
Quality and Dimensional Parameters of Large-Sized Pine Timber in View of Expectations of Polish Sawmill Industry
Changes in the processing directions of round wood require the selection of raw material with appropriate quality and dimensional characteristics. In the case of large-size pine wood, these parameters translate significantly into its value and material indicators. The purpose of the research was to verify the currently applied classification principles with respect to the expectations of the market of wood industry customers. The research was conducted using the direct survey method, taking into account the structure of processing and sorting of production of wood industry representatives. The basic dimensional and quality groups for coniferous wood were separated, with wood defects assigned to them, in accordance with the currently binding principles of the quality and dimensional classification conducted by the State Forests. The respondents pointed out the necessity of changes in the minimum dimensions for wood of higher quality classes and changes in admissibility of selected defects in wood of lower classes.
Verification of the Assumptions of the Polish State Forest Policy in the Context of the New EU Forest Strategy 2030
Despite the lack of legal tools to interfere in the forest policy of the member states, the European Union has initiated the New EU Forest Strategy 2030 (NFS), which emphasizes the protective functions of forests, modifying the interpretation of sustainable forest management. The aim of the study was to compare the State Forest Policy (SFP) in Poland with the assumptions of the New UE Forest Strategy 2030, identifying challenges for Polish forestry. The compliance of both documents was verified, taking into account their objectives, implementation methods, and differences. The analysis showed the coherence of the direction of both policies, while the differences in the methods of achieving the objectives result from divergent interpretations of the concept of sustainable forest management. It is necessary to develop a new definition taking into account the conditions of EU countries and to develop a system of measures enabling the comparison of the degree of implementation of this goal. Previous EU strategies had minimal impact on national legal systems. Diverse concepts of forest management in EU countries make it difficult to implement a common long-term strategy, giving subsequent documents a general character. NFS is a theoretical document presenting a vision of forests from the perspective of EU policy, and SFP serves as a historical document that can be a reference point for modifying assumptions based on contemporary realities. Creating normative acts without taking into account contemporary conditions may be contrary to the direction of development of forestry in Europe. A bottom-up approach, based on consensus of member states, to creating a coherent forest policy at the EU level is more justified.
Characterization and Evaluation of the Organizational and Legal Structures of Forestry in the European Union
Achieving organizational efficiency requires the selection of an appropriate operating model. To date, no objective indicators, methods of measuring, or criteria for evaluating the effectiveness and efficiency of forest management organizations have been developed. In the heterogeneous forest management of the European Union (EU), multiple objectives and functions—from production to social and ecological services—coexist at regional and national levels. This study provides an overview of the organizational and legal forms of EU forestry, taking into account environmental conditions, ownership structures, and the role of the forestry sector in national economies. The legal information of EU countries on forest management was verified. We examine the impact of the entity’s organizational and legal form on the implementation of sustainable forest management and the objectives of the New EU Forest Strategy 2030, particularly in terms of absorbing external capital for forest protection and climate-related activities. Joint stock companies, public institutions, and enterprises are the most relevant. The private sector is dominated by individual farms, associations, chambers of commerce, and federations. A clear trend toward transforming state-owned enterprises into joint-stock companies and expanding their operational scope has been confirmed. Multifunctional forest management is practiced in both state and private forests. Economic efficiency, legal and property liability, and organizational goals depend on the chosen organizational and legal form.
Kiln-drying effectiveness as influenced by moisture content and density variation within a Scots pine timber batch
Cost of Regeneration of Scots Pine (Pinus sylvestris L.) Crops in National Forests
Silvicultural processes are an essential issue of rational forest management. Both man-made (artificial) and natural restoration methods are used in European forestry. A study of the cost drivers of forest restoration from the early stages of land clearing to cultivation was conducted for Scots pine tracts in a coniferous forest habitat. The cost data were tested for homogeneity of variance (Levene’s test) and normality (Shapiro–Wilk test) using a significance level of α = 0.05. The research indicated that the cost of artificial restoration (planting) of a pine forest is about 30% higher than the cost of natural restoration. The research also indicated that the main cost driver (about 35%) of the artificial restoration process was seedlings and planting costs. Further, the viability of supplementing natural planting with artificial planting was confirmed.
The Strength of Pine (Pinus sylvestris L.) Sawn Timber in Correlation with Selected Wood Defects
Pine timber of Polish origin intended for structural purposes is characterized by significant variability in the quality parameters. Technological suitability determined on the basis of relevant international classifications is based on the assessment of both selected mechanical and physical properties of wood. Moreover, the description of visual properties is also a valuable indicator regarding defect distribution. In the group of quality features playing a crucial role in the classification of sawn timber, there are knots, disruptions of grains, cracks, etc. Thus, the aim of the research was to determine the correlation between the presence of selected defects and the strength properties of individual timber pieces. This type of study is based on a nondestructive test method that allows for high optimization of sawn materials processing. In the case of sawn timber of Polish origin, the modulus of elasticity (MOE) determined using the sonic test is commonly used as a criterion. The research material was harvested from southern Poland. The results of the conducted studies confirmed a correlation between an increasing occurrence of particular types of defects and the results of MOE. Furthermore, as a result of the performed investigations, no significant effect of narrow surface cracks on strength properties was observed.
Economic Efficiency of Pine Wood Processing in Furniture Production
The wood industry faces challenges due to rising prices and limited wood availability, putting pressure on material efficiency in wood processing. This justifies the analysis of the relationship between efficiency and economy in pine wood processing. The study aimed to measure the impact of variations in the thickness of logs, changes in the technology of their further processing, and changes in prices of raw materials and products on the material efficiency in the context of large-scale production of furniture elements made of pinewood. The raw material input consisted of three categories of log sizes, from which the specialized purpose lumber was produced. The lumber was then processed into semi-finished furniture elements with three technologies: without detecting natural wood defects, with human detection, and with automatic detection. The study was conducted in Poland from 2020 to 2022. The material efficiencies in every stage of the analyzed wood processing and the cost efficiencies were calculated and analyzed based on the results obtained under real industrial conditions. The main findings are as follows: (1) when comparing the logs in the three tested diameter ranges (14–23 cm, 23–30 cm, and more than 30 cm), it can be observed that the overall material efficiency of sawing is in the range of 70%–85% and increases with the thickness of the log; (2) the share of 38 mm specialized sawn timber in the total amount of sawn timber was 41%–58% and increased with increasing log diameter; (3) the economic efficiency of the technological process is 170%–290%, based on the log size and the technology of further processing employed. The determining factor affecting cost efficiencies is unexpected changes in raw material prices and product demand in 2022. The findings suggest that while improvements in processing technology can boost efficiency, they cannot fully offset the rise in raw wood material prices.
Biomass Price Prediction Based on the Example of Poland
The aim of the study was to test the applicability of forecasting in the analysis of the variability of prices and supply of wood in Poland. It relies on the autoregressive integrated model (ARIMA) that takes into account the level of cyclic, seasonal, and irregular fluctuations and the long-term trend as tools for the assessment of the predictions of the prices of selected medium-sized wood assortments. Elements of the time series were determined taking into account the cyclical character of the quarterly distribution. The data included quarterly information about the supply (amount) and prices (value) of wood sold by state forests in the years 2018–2022. The analysis was conducted for the most popular assortments: logging slash (M2, M2ZE), firewood S4, and medium-sized wood S2AP. In the period studied (years 2018–2022), the average rate of price variation was widely scattered. The average rate of price variation for the M2ZE assortment amounted to 7%. The average rate for M2 assortment was 1%, while the medium-sized S2AP assortment displayed the greatest variation of 99%. This means that between 2018 and the present, the price increased by nearly 100%. No major fluctuations were observed for the S4 assortment and its average rate of variation amounted to 0%. The analysis found seasonal variation was observed only for S4 firewood, the price of which went up each year in October, November, and December. For this reason, the forecast was made with the seasonal autoregressive integrated moving average (SARIMA) version of the model. It is difficult to forecast the price of wood due to variations in the market and the impact of global factors related to fluctuations in supply.
The Impact of Selected Market Factors on the Prices of Wood Industry By-Products in Poland in the Context of Climate Policy Changes
The objective of this study was to analyze price variability and the factors influencing the formation of monthly prices of by-products of the wood industry in Poland between October 2017 and January 2025. The analysis considered the impact of economic variables, including energy commodity prices (natural gas and coal) and industrial wood prices, on the pricing of wood industry by-products. The adopted approach enabled the identification of key determinants shaping the prices of these by-products. The effectiveness of two tree-based regression models—Random Forest (RF) and CatBoost (CB)—was compared in the analysis. Although RF offers greater interpretability and lower computational requirements, CB proved more effective in modeling dynamic, time-dependent phenomena. The results indicate that industrial wood prices exerted a weaker influence on by-product prices than natural gas prices, suggesting that the energy sector plays a leading role in shaping biomass prices. Coal prices had only a marginal impact on the biomass market, implying that changes in coal availability and pricing did not directly translate into changes in the prices of wood industry by-products. The growing role of renewable energy sources derived from natural gas and wood biomass is contributing to the emergence of a distinct market, increasingly independent of the traditional coal market. In Poland, due to limited access to alternative energy sources, biomass plays a critical role in the decarbonization of the energy sector.
