Title: The experimental study of logging residue stock on logging sites following clear-cutting using a sorting machine system

Authors: Igor Grigorev; Michael Zyryanov; Sergey Medvedev; Aleksander Mokhirev; Sergey Egipko; Pavel Perfiliev; Irina Savvateeva

Addresses: Department of Technology and Equipment of Forest Complex, Arctic State Agrotechnological University, Yakutsk, 677007, Russian Federation ' Department of Information and Technical Systems, University Branch of Siberian State University in Lesosibirsk, Lesosibirsk, 662546, Russian Federation ' Department of Economic and Natural Sciences Disciplines, Reshetnev Siberian State University of Science and Technology, Lesosibirsk, 662549, Russian Federation ' Department of Highways and Urban Structures, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation ' Department of Machines Environmental Engineering, Don State Agrarian University, Novocherkassk, 346410, Russian Federation ' Department of Timber Industry and Materials Processing, Northern Arctic Federal University, Arkhangelsk, 163000, Russian Federation ' Department of Operation of Motor Vehicles and Car Service, North-Eastern Federal University M.K. Ammosova, Yakutsk, 677021, Russian Federation

Abstract: The study aimed to evaluate stand structure, timber volume, and logging residues following sorting felling, explicitly focusing on the predominant species, pine. A comprehensive inventory of stumps was conducted within the designated sample plot. The average diameter of pine trees measured 21.8 cm. The wood volume in pine bark was calculated to be 1,068.9 m³, with the wood volume increasing with increasing thickness steps. The wood stock at the logging site mostly appeared to be pine, making it the dominant species. The discovery of a sizeable quantity of logging residues, accounting for 11.3% of the total stem wood volume, is an essential outcome of the study. The findings have practical implications for optimising forest management, preserving ecological equilibrium, and sustaining sustainable regional forestry development.

Keywords: forest industry; forest management; forestry; logging residues; stock distribution; sustainable development.

DOI: 10.1504/IJSPM.2023.138578

International Journal of Simulation and Process Modelling, 2023 Vol.20 No.4, pp.267 - 275

Received: 10 Oct 2023
Accepted: 15 Dec 2023
Published online: 13 May 2024 *

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