Innovations are a key component of the forest bioeconomy. Many types of innovations are needed for an efficient forest bioeconomy to be deployed. This article aimed to analyze the scientific literature on the topic of innovations in the forest bioeconomy, to understand where we are and where we are likely to be in the future, considering technologies, business models, etc. First, the scientific literature, in the form of peer-reviewed articles indexed in the Web of Science, was compiled in a comprehensive dataset, on which we analyzed the most important authors, their affiliations, regions they come from, journals where papers were most commonly published, and under which categories the papers were indexed. The total number of papers matching the keywords was 161. We found that the number of papers published on the topic is increasing and that, on average, each paper was cited 18 times. A total of 504 authors dealt with the topic, presenting a rather small community. This finding was reinforced by the outcomes of the analysis of regions where the authors of the papers were affiliated—Europe being the region to which most papers were affiliated. We conducted a qualitative synthesis of the literature on forest bioeconomy innovations. We found that authors dealt with the necessary adaptation of policies, while innovations were mainly focused on biorefining, biotechnology, production of various biomaterials, as well as innovations of business models and stakeholder interactions.

Temporal patterns in occupational safety and health can shed light on the efficiency of safety measures companies adopt and identify when workers are prone to occupational accidents. We analyzed these patterns to identify the effects of factors such as the share of salvage logging, experience, age, daytime, weekday, and more on the number of occupational accidents at Forests of the Slovak Republic (FSR). We analyzed a database of 2963 occupational accidents and 443 occupational illnesses suffered by FSR employees and contractors. We then analyzed a subset of said database, containing 401 accident records coded according to European Statistics at Work manual. We used regression and correlation analyses and generalized linear models to test the relationship between the accident frequency and volume of harvested timber and volume of salvage logging. We used logistic regression, chi2 tests, and Cramér’s V statistic to test when accidents occur within shifts, weeks, and months. We found the volume of harvested timber significantly affects the frequency of severe and fatal accidents of contractors (R 0.81; p < 0.05), whereas, for employees, the relationship was insignificant. Over time, the number of accidents and incidence rate decreased, and inexperienced or older workers were the most prone to accidents.

Timber haulage is the last phase of the raw timber production process, necessary to transport timber to the customer. To improve the efficiency of logging truck operations, it is necessary to observe and assess several operational parameters through the electronic systems installed on the logging trucks. Measurements for this study were conducted for three logging truck types, which hauled 24,648 m³ of timber over 54,857 km and 1232 round trips. The RMC system was used for truck monitoring, equipped with a CAP04 capacitance sensor and a WGS 48 GPS module. The monitoring was continuous, lasting 27 to 74 weeks. Data acquired were evaluated via regression and correlation analyses and ANOVA. The results showed a moderately strong negative correlation between haulage productivity and haulage distance, ranging from r = −0.47 to r = −0.68. Simultaneously, a rather low efficiency of timber haulage was found for long-range haulage caused by legislation-based small utilization of the load-carrying capacity of the logging trucks. This showed in increased fuel consumption per production unit (2.01 Lm⁻³) as well as increased carbon emissions production (5.54 kg m⁻³).

This study focused on small gasification units for combined heat and power generation (CHP) up to 200 kW of electric power, which can use wood from salvage logging, and assessed the current feasibility of running commercially available units in the conditions of the Czech Republic. In total, the technical and economic parameters of 21 gasification units from ten major international producers were compiled. One of the most important parameters assessed was the net calorific value, which in the analysed samples of spruce wood was determined at 18.37 MJ kg⁻¹ on a dry basis. This complies to the requirements for fuel quality for these units. The economic profitability was determined for three investment variants with electric power of 10, 100, and 200 kW_el in an operating mode of constant power at 20 and 30 wt.% input moisture level of the wood. Economic analysis showed that smaller alternatives with an output of 10 and 100 kW_el produce economic losses. On the other hand, the 200-kW_el alternative produced operating profit and positive cash flow at both fuel moisture levels in the first year of operation. The evaluation of individual alternatives using dynamic investment evaluation methods also showed that only the alternative with an output of 200 kW_el with both fuel moistures was able to produce a positive net present value.

Soil disturbance and compaction are inherent in ground-based harvesting operations. These changes are affected by numerous factors, related mainly to the technical parameters of the machines, soil conditions, and the technology used. This study aimed to analyze the changes of surface layers of soil caused by skidder traffic without loads on the Cambisols of Western Carpathians. We observed changes in the soil bulk density and penetration resistance. The results showed that only machine traffic caused a 0.32 to 0.35 (g cm⁻³) increase in soil bulk density. Besides machine traffic, bulk density was affected by soil moisture content. Penetration resistance of soil increased by 0.15 to 1.04 (MPa) after traffic of 40 machines. Penetration resistance showed a lower increase after traffic, and regression and correlation analysis proved a relationship between penetration resistance, skeleton content, and penetration depth, besides the number of machine passes (r = 0.33–0.55). Observing the changes in the physical properties of soils caused by machine traffic allows for a more detailed view of the effects of forest harvesting machinery on forest soils.