Preview

Izvestia Sankt-Peterburgskoj lesotehniceskoj akademii

Advanced search

Practical basis of forest science

https://doi.org/10.21266/2079-4304.2026.258.19-33

Abstract

Digital technologies are actively developing and are becoming more and more deeply embedded both in human life everywhere and in various areas of economic activity, such as engineering, agriculture and forestry. The process of training highly qualified personnel for forestry is impossible without practical training, which should be carried out directly in forest facilities. As a base for practical training of forestry specialists in the times of the Soviet Union, forestry training and experimental forestry farms were used at forestry universities. In Bryansk State University of Engineering and Technology as such an object Training and Experimental Forestry is used, which was opened on the basis of Experimental Forestry, created on January 23, 1906. After a number of reorganizations in 1932 the territory of the Experimental Forestry was transferred to the Bryansk Forestry Institute, which in 1933 was renamed to the Bryansk Forestry Institute. The most prominent scientists and foresters worked in the Bryansk experimental forestry: G.F. Morozov, M.M. Orlov, I.V. Tyurin, V.P. Timofeev, A.V. Tyurin and others. The experimental forestry department of the Bryansk Forestry Institute has always been used as a base for practical training of students in forestry, as well as scientific research in the field of conducting main logging in various ways: gradual logging, group-selective logging, Wagner logging, continuous cutting with the leaving of testes, 10-fathom wide cutting in the direction from north to south and from east to west. west and conventional cutting areas of 25-fathom width in the direction of cutting from east to west. The area of the forestry has been constantly expanding and now stands at 10074 hectares. In modern conditions, when state institutions, in accordance with the current Forest code, cannot use forests, and tenants of the forest fund are not allowed to conduct research and apply experimental methods in the field of forest management, only educational and experimental forestry enterprises remain an island of practical forestry science, where new technologies and methods of conducting forestry activities are tested in practice.

About the Authors

A. A. Solomnikov
Bryansk State Technological University of Engineering
Russian Federation

SOLOMNIKOV Andrey A. – PhD (Agricultural), Head of the Department of Forestry and Woodworking Technology, Associate Professor

241037. Stanke Dimitrova av. 3. Bryansk



V. V. Sivakov
Bryansk State Technological University of Engineering
Russian Federation

SIVAKOV Vladimir V. – PhD (Technical), Associate Professor, Department of Transport and Technological Machines and Service

241037. Stanke Dimitrova av. 3. Bryansk



I. Yu. Adamovich
Bryansk State Technological University of Engineering
Russian Federation

ADAMOVICH Igor Yu. – PhD (Biological), Associate Professor, Department of Landscape Architecture and Garden and Park Construction

241037. Stanke Dimitrova av. 3. Bryansk



References

1. Anikin A.S., Kovyazin V.F. The history of the creation of educational and experimental forestry enterprises of St. Petersburg State Forestry University named after S.M. Kirov. The role of educational and experimental forestry enterprises of Russian universities in the training of personnel for the forestry sector: mat. of sci.-pract. conf. Bryansk, 2017, pp. 59-64. (In Russ.)

2. Cheng F.-T. Intelligent Factory Automation (iFA) System Platform. Industry 4.1, 2021, pp. 215-224. DOI: 10.1002/9781119739920.ch6.

3. Chiu Y.-C., Cheng F.-T., Huang H.-C. Developing a factory-wide intelligent predictive maintenance system based on Industry 4.0. Journal of the Chinese Institute of Engineers, 2017, vol. 40, iss. 10, pp. 562-571. DOI: 10.1080/02533839.2017.1362357.

4. Erboz G. A qualitative study on industry 4.0 competitiveness in Turkey using Porter diamond model. Journal of Industrial Engineering and Management, 2020, vol. 13, no. 2, pp. 266-282. DOI: 10.3926/jiem.2915.

5. Gavrilović N., Mishra A. Software architecture of the internet of things (IoT) for smart city, healthcare and agriculture: analysis and improvement directions. Journal of Ambient Intelligence and Humanized Computing, 2021, vol. 12, pp. 1315–1336. DOI: 10.1007/s12652-020-02197-3.

6. Gölzer P., Fritzsche A. Data-driven operations management: organisational implications of the digital transformation in industrial practice. Production Planning and Control, 2017, vol. 28, iss. 16, pp. 1332-1343. DOI: 10.1080/09537287.2017.1375148.

7. Kolberg D., Zühlke D. Lean Automation enabled by Industry 4.0 Technologies. IFACPapersOnLine, 2015, vol. 48, iss. 3, pp. 1870-1875. DOI: 10.1016/j.ifacol.2015.06.359.

8. Kurnenkova I.P., Popova N.N. Educational and experimental forestry of the Volga State Technological University – as a base for conducting research in the field of forest protection. The role of educational and experimental forestry enterprises of Russian universities in the training of personnel for the forestry sector: mat. of sci.-pract. conf. Bryansk, 2017, pp. 50-59. (In Russ.)

9. Landekić M., Pandur Z., Bačić M., Šušnjar M., Mijoč D., Šporčić M. Strategic Directions for Strengthening Sustainability of Forestry Workforce. Croatian journal of forest engineering, 2024, vol. 46, iss. 1, pp. 179–195. DOI: 10.5552/crojfe.2025.3010.

10. Moiseev N.A. Protective forests: the state, use and organization of rational management. Forestry, 2008, no. 2, pp. 5-8. (In Russ.)

11. Oke O. Preparedness of forestry students of tertiary institutions for industrial training experience at the forestry research institute of Nigeria, Ibadan, Nigeria. Journal of Forestry Research, 2024, vol. 20, pp. 33-43.

12. Olayode I., Tartibu L., Okwu M. Prediction and Modelling of Traffic Flow of Humandriven Vehicles at a Signalized Road Intersection Using Artificial Neural Network Model: A South African Road Transportation System Scenario. Transportation Engineering, 2021, vol. 6, art. no. 100095. DOI: 10.1016/j.treng.2021.100095.

13. Pitukhin E., Zyateva O., Sokolov V., Ponomarev V. Personnel training for the forestry complex of the northwestern and Arctic regions of Russia. Perspectives of Science and Education, 2023, vol. 65, pp. 780-793. DOI: 10.32744/pse.2023.5.45.

14. Pitukhin E., Sokolov V., Zhukov A. Prospects for Personnel Training for the Forestry Sector in the Regions of Russia: Arctic Context. Perspectives of Science and Education, 2025, vol. 72, pp. 781-796. DOI: 10.32744/pse.2024.6.49.

15. Selivanov A.A., Baranets D.V. Lisinsky educational and experimental forestry – the cradle of practical forestry in Russia. The role of educational and experimental forestry enterprises of Russian universities in the training of personnel for the forestry sector: mat. of sci.-pract. conf. Bryansk, 2017, pp. 39-42. (In Russ.)

16. Shelukho V.P. Educational and experimental forestry of BGITU – a base for scientific research and education of students in the field of forest protection. The role of educational and experimental forestry enterprises of Russian universities in the training of personnel for the forestry sector: mat. of sci.-pract. conf. Bryansk, 2017, pp. 64-70. (In Russ.)

17. Shoshin V.I., Reshetnikov A.P. On the 100th anniversary of the Bryansk experimental forestry. BHEI. Russian Forestry Journal, 2006, no. 2, pp. 116-119. (In Russ.)

18. Simakova A. The Formation of a Career Trajectory by Students of Secondary Vocational Education in the Russian Arctic Zone. Arctic and North, 2021, vol. 44, pp. 158-172. DOI: 10.37482/issn2221-2698.2021.44.158.

19. Sivakov V.V., Zaikin A.N. Increasing the effectiveness of training employees of forestry enterprises in the conditions of digitization. Izvestia Sankt-Peterburgskoj Lesotehniceskoj Akademii, 2024, iss. 248, pp. 243–256. DOI: 10.21266/2079-4304.2024.248.243-256. (In Russ.)

20. Sivakov V.V., Zaikin A.N., Novikova T.P., Zelikov V.A., Stasyuk V.V., Chuikov A.S. Digitalization of the workflow management system of logging machines: efficiency assessment using the example of «Ponsse», «Komatsu», and «John Deere». Forestry Engineering journal, 2023, vol. 13, no. 3 (51), pp. 200-218. DOI: 10.34220/issn.2222-7962/2023.3/14. (In Russ.)

21. Šporčić M., Landekić M., Šušnjar M. Pandur Z., Bačić M., Mijoč D. Deliberations of Forestry Workers on Current Challenges and Future Perspectives on Their Profession – A Case Study from Bosnia and Herzegovina. Forests, 2023, vol. 14, art. no. 817. DOI: 10.3390/f14040817.

22. Tayurskiy A.I., Lobanova E.E. The model of training timber industry specialists by a reference university. Vocational education and the labor market, 2018, no. 2, pp. 21- 29. (In Russ.)

23. Tolstykh T.O., Afonin S.E. Strategic development of scientific and technical potential of industry during the digital transformation of economy. Russian Journal of Industrial Economics, 2021, vol. 14, no. 4, pp. 410-417. DOI: 10.17073/2072-1633-2021-4-410-417. (In Russ.)

24. Tugengold A.K., Voloshin R.N., Yusupov A.R., Kruglova T.N. production machines maintenance based on digitalization. Vestnik of DSTU, 2019, vol.19, no.1, pp. 74-80. DOI: 10.23947/1992-5980-2019-19-1-74-80. (In Russ.)

25. Zaikin A.N., Sivakov V.V., Nikitin V.V., Briones A.A. Software in forestry and logging. Forestry Bulletin, 2023a, vol. 27, no. 4, pp. 172–184. DOI: 10.18698/2542-1468-2023-4-172-184. (In Russ.)

26. Zaikin A.N., Sivakov V.V., Novikova T.P., Zelikov V.A., Stasyuk V.V., Chuikov A.S. Software for managing the system of maintenance and repair of forest machines: assessment of applicability. Forestry Engineering Journal, 2023b, vol. 13, no. 2 (50), pp. 105-127. DOI: https://doi.org/10.34220/issn.2222-7962/2023.2/6. (In Russ.)


Review

For citations:


Solomnikov A.A., Sivakov V.V., Adamovich I.Yu. Practical basis of forest science. Izvestia Sankt-Peterburgskoj lesotehniceskoj akademii. 2026;(258):19-33. (In Russ.) https://doi.org/10.21266/2079-4304.2026.258.19-33

Views: 25

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2079-4304 (Print)
ISSN 2658-5871 (Online)