Issue |
E3S Web of Conf.
Volume 390, 2023
VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023)
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Article Number | 07043 | |
Number of page(s) | 6 | |
Section | Biodiversity, Agroforestry and Ecosystem Stability for Sustaining the Natural Area | |
DOI | https://doi.org/10.1051/e3sconf/202339007043 | |
Published online | 01 June 2023 |
Analysis of promising methods for felling for forest care by multi-operation systems of machines
1 Belarusian State Technological University, Minsk, Republic of Belarus
2 Kazan Federal University, 18 Kremlin Street, Kazan, Russia
* Corresponding author: alesya.duhovnik@mail.ru
One of the leading places in the complex of measures to increase the productivity of forests and the rational use of wood resources is occupied by thinning for forest care. Timely and justified thinning for forest maintenance allows not only increasing the productivity and sustainability of forests, increasing the size of forest use, but also creating prerequisites for the effective implementation of environmental protection and climate control functions by forests. Growing highly productive stands of optimal composition requires regular forest maintenance. In the Republic of Belarus, forest thinning is carried out by various multi-operational systems of machines and methods, each of which has its own characteristics and efficiency depending on the conditions of their operation. This article analyzes the effectiveness of thinning for forest care in the conditions of forestry institutions of the Republic of Belarus using multi-operational systems of machines. The most important goals for the development of the country's forestry are noted, among which are the provision of the formation of highly productive and sustainable forests, as well as increasing the resource potential of forests to meet the needs of the environment and society.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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