The Impacts of Calamity Logging on the Sustainable Development of Spruce Fuel Biomass Prices and Spruce Pulp Prices in the Czech Republic

• Published in: Forests 2022-01, Vol.13 (1), p.97
• Main Authors: Maitah, Mansoor, Toth, Daniel, Malec, Karel, Appiah-Kubi, Seth Nana Kwame, Maitah, Kamil, Pańka, Dariusz, Prus, Piotr, Janků, Jaroslav, Romanowski, Robert
• Format: Article
• Language: English
• Subjects: Alternative energy sources; Bark; Biomass; Branches; Briquets; Consumption; Economic activity; Energy resources; Forest management; Forest products; Forestry; forestry economy; Fuels; GDP; Gross Domestic Product; Households; Labor shortages; Logging; Prediction models; Prices; Pricing; Pulp; Pulp & paper industry; Regression analysis; Regression models; Renewable resources; Sawdust; spruce wood; Sustainable development; timber trade; Trees; Variables; Wood; Wood products; Wood pulp
• ISSN: 1999-4907; 1999-4907
• DOI: 10.3390/f13010097

Currently, due to the calamity of unplanned harvesting, the amount of biomass from wood products has increased. Forests occupy 33.7% of the total area of the Czech Republic; therefore, wood and non-wood forest products are important renewables for the country. Wood biomass consists mainly of branches and bark that are not used in the wood or furniture industry. However, it can be used in bioenergy, including wood processing for fuel. As spruce production in the Czech Republic increased from the planned 15.5 million to almost 36.8 million trees in 2020, the price of wood biomass can be expected to be affected. This study aims to develop a predictive model for estimating the decline in the price of wood biomass for wood processors, such as firewood or sawdust producers, as well as for the paper industry. Wood biomass prices are falling with each additional million m3 of spruce wood harvested, as is the decline in wood pulp, which is intended for the paper and packaging industries. The proposed predictive model based on linear regressions should determine how the price of wood biomass will decrease with each additional million harvested spruce trees in the Czech Republic. This tool will be used for practical use in the forestry and wood industry. The linear regression model is suitable for practical forestry use due to its simplicity and high informative value. The aim of the research is to model the dependence of the prices of firewood in the form of wood briquettes and pellets for domestic and industrial processing, as well as the prices of wood pulp on the volume of unplanned logging. It is a guide for the practice of how to use excess spruce wood from unplanned mining in the field of alternative processing with a sustainable aspect for households or heat production for households. The intention is to carry out modelling in such a way that it does not include prices of higher quality wood assortments, which are intended for the woodworking industry.