Please use this identifier to cite or link to this item: https://elar.usfeu.ru/handle/123456789/11834
Title: Improving the efficiency of forest companies by optimizing the key indicators of sustainable forest management: a case study of the Far East
Authors: Ryabukhin, P.
Kunickaya, O.
Burgonutdinov, A.
Makuev, V.
Sivtseva, T.
Zadrauskaite, N.
Hertz, E. F.
Markov, O.
Issue Date: 2022
Publisher: Taylor and Francis Ltd.
Citation: Improving the efficiency of forest companies by optimizing the key indicators of sustainable forest management: a case study of the Far East / P. Ryabukhin, O. Kunickaya, A. Burgonutdinov [et al.] // Forest Science and Technology. – 2022.
Abstract: Forest plantations provide a wide range of products. Therefore, it is vital to ensure the sustainable growth and adequate management of forest resources. This study aims to examine the current challenges facing the forest industry, such as the depletion of forest resources, the increasing cost of wood processing products, and intensifying competition in the timber market (caused by the tropical wood supply). These challenges force the world’s leading forest countries to intensify forest cultivation, to consult forest industries in the Far East and to optimize the sustainable use of forest resources. It was found that current distribution of cutting practices threatens the forest ecosystem. The study suggests a scheme where 10–30% of forest area is clear-cut, 70–90% is selectively logged, and 20–35% is exposed to gradual felling. Factors, such as harvesting time, exhaust emissions, the loss of young trees, topsoil degradation, load on the soil surface, and the slope angle are essential for building mathematical models of forest sustainability. The intensity of wood transportation is also a critical factor influencing the above indicators. The study proposes a model for reorganizing regional wood harvesting companies to improve their profitability. The theoretical model is adapted to the Far Eastern context, but is suitable for use in other parts of the world. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keywords: FOREST MANAGEMENT
LOGGING
MATHEMATICAL MODELING
WOOD PROCESSING
URI: https://elar.usfeu.ru/handle/123456789/11834
DOI: 10.1080/21580103.2022.2128900
SCOPUS: 2-s2.0-85140131614
WoS: WOS:000870143000001
RSCI: 50180893
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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