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Multivariant Scenarios for the Dynamics of Forest Use in the Arkhangelsk Region

https://doi.org/10.21266/2079-4304.2023.246.191-205

Abstract

Forecast calculations of the use and reproduction of forests, implemented in the form of various, most probable and promising scenarios, are necessary for strategic planning of forestry sector development at the regional level. In this study, scientifically based parameters of forest use volume for the long term, comparable to the felling turnover in coniferous stands in the forests of the Arkhangelsk region, were obtained. The paper presents an analysis of scenarios modeling for the Arkhangelsk region forests using the model developed by scientists from the Northern Research Institute of Forestry (author N.P. Chuprov), classical options for calculating allowable cutting volumes carried out during performing forest inventory. The results of the study show the possibility of maintaining a consistently high level of forest use, taking into account the species change and the implementation of forestry measures complex. For the forest management units of the south part of the Arkhangelsk region, the predicted amount of forest use is lower than the officially accepted volumes, for the forestry’s of the northern part, there is an excess of the allowable cutting volume, for the central part it practically coincides. The implementation of an intensive model for the use and reproduction of forests in the region is one of the indicators of the likely application of one of the optimal multivariate forecast scenarios.

About the Authors

S. V. Koptev
Northern Research Institute of Forestry; Northern (Arctic) Federal University named after M.V. Lomonosov
Russian Federation

KOPTEV Sergey V. – DSc (Agriculture), Leading Researcher;  Head of Silviculture and Forest Management Department

193002. Severnaya Dvina Emb. 17. Arkhangelsk

Researcher ID: ABD-5497-2021



S. V. Tretyakov
Northern Research Institute of Forestry; Northern (Arctic) Federal University named after M.V. Lomonosov
Russian Federation

TRETYAKOV Sergey V. – DSc (Agriculture), Leading Researcher; Professor, Professor of Silviculture and Forest Management Department

193002. Severnaya Dvina Emb. 17. Arkhangelsk

Researcher ID: ААЕ-3861-2021



A. S. Ilintsev
Northern Research Institute of Forestry; Northern (Arctic) Federal University named after M.V. Lomonosov
Russian Federation

ILINTSEV Aleksey S. – PhD (Agriculture), Senior Researcher; Associate Professor

163062. Nikitova str. 13. Arkhangelsk

Researcher ID: N-6286-2019



D. P. Drozhzhin
Northern Research Institute of Forestry
Russian Federation

DROZHZHIN Dmitrij P. – PhD (Agriculture), Senior Researcher

163062. Nikitova str. 13. Arkhangelsk

Researcher ID: HHZ-8374-2022



I. G. Shamontyev
Northern Research Institute of Forestry; Northern (Arctic) Federal University named after M.V. L
Russian Federation

SHAMONTEV Ivan G. – Research engineer; Post-graduate student at the Silviculture and Forest Management Department

193002. Severnaya Dvina Emb. 17. Arkhangelsk



References

1. Chuprov N.P., Antufieva E.D. Dynamic model for multivariate predictive calculations of sustainable use of forests and determination of forest management level. Arkhangelsk, 2001. 33 p. (In Russ.)

2. Chuprov N.P., Antufieva E.D. Methodological guide for multivariate calculations of sustainable use of forests. Arkhangelsk, 1991. 30 p. (In Russ.)

3. Chuprov N.P., Drozhzhin D.P., Drannikova V.A., Timirgaleev R.Z. To substantiate the size of sustainable use of forests in the Arkhangelsk region. Collection of scientific papers based on the results of research for 2005–2009. FGU «SevNIILKh». Arkhangelsk, 2011, pp. 156–177. (In Russ.)

4. Chuprov N.P., Torkhov S.V. To the methodology for determining the size of the main use of the forest. IVUZ. Forest magazine, 2001, 2, рp. 7–15. (In Russ.)

5. Filipchuk A.N., Malysheva N.V., Zolina T.A., Yugov A.N. Russian boreal forests: opportunities for climate change mitigation. Lesokhoz. inform.: electronic network journal, 2020, 1, pp. 92–113. URL: http://lhi.vniilm.ru/PDF/2020/1/LHI_2020_01-10-Filipchuk.pdf (accessed December 26, 2022). (In Russ.)

6. Forest plan of the Arkhangelsk region 2008–2017. URL: https://portal.dvinaland.ru/upload/iblock/cd8/LesPlan2011.pdf (accessed September 01, 2023). (In Russ.)

7. Forest plan of the Arkhangelsk region 2018–2028. URL: https://portal.dvinaland.ru/upload/iblock/ecf/LesPlan_Ukaz_116-%D1%83_ot_%2014_12_2018.pdf (accessed September 01, 2023). (In Russ.)

8. Gustafson E.J., Shifley S.R., Mladenoff D.J., Nimerfro K.K., He H.S. Spatial simulation of forest succession and timber harvesting using LANDIS. Canadian Journal of Forest Research, 2000, vol. 30, рp. 32–43.

9. Ilyintsev A.S., Tretyakov S.V. Analysis of the use of forests in the Arkhangelsk region for the period from 2006 to 2014. Proceedings of the Samara Scientific Center of the Russian Academy of Sciences. 2016. 18(5), рр. 29–35. (In Russ.)

10. Lukina N.V., Geraskina A.P., Gornov A.V., Shevchenko N.E., Kuprin A.V., Chernov T.I., Chumachenko S.I., Shanin V.N., Kuznetsova A.I., Tebenkova D.N., Gornova M.V. Biodiversity and climate-regulating functions of forests: current issues andresearch prospects. Forest Science Issues, 2021, vol. 3, no 4, pp. 1–60.

11. Moiseev N.A. Bicentennial fragment of the history of the White Sea taiga. IVUZ. Forest Journal, 2015, 4, pp 180–185. (In Russ.)

12. Moiseev N.A. Forests and the forest sector of the Arkhangelsk region: historical role and place in the national forest policy of Russia. IVUZ. Forest magazine, 2012, 4, pp. 7–15. (In Russ.)

13. Moiseev N.A. Status and forecasts of forest use and development of forestry in forested areas of the USSR. Issues of economics of use and reproduction of forest resources in the European North. Arkhangelsk, 1975, pp. 3–9. (In Russ.)

14. Pussinen A., Nabuurs G.Ya., Lyubimov A.V., Koptev S.V., Tretyakov S.V. Perspective scenarios for the development of forests in the Leningrad and Arkhangelsk regions. Helsinki: AO Indufor, type. AO Frenkelin Karyalayno, 2000, pp. 9–10. (In Russ.)

15. Shifley S.R., Thompson F.R., Dijak W.D., Fan Z. Forecasting landscape-scale, cumulative effects of forest management on vegetation and wildlife habitat: A case study of issues, limitations, and opportunities. Forest Ecology and Management, 2008, vol. 254, pp. 474–483.

16. Tretyakov S.V., Koptev S.V., Popov O.S., Paramonov A.A., Kopeikin M.A. Characteristics of modal plantations in the Arkhangelsk region. Forest ecosystems: current challenges, state, productivity and sustainability: Proceedings of the international. scientific-practical. conf., dedicated 90th anniversary of the Forest Institute of the National Academy of Sciences of Belarus (Gomel, November 13–15, 2020). Gomel: Forest Institute of the National Academy of Sciences of Belarus, 2020, pp. 290–294. (In Russ.)

17. Tretyakov S.V., Koptev S.V., Trubin D.V., Pyaivinen R., Pussinen A. Large-scale long-term modeling of forest management in the Arkhangelsk region. Pomorye in the Barents region. Economy, ecology, culture: materials of the international conference. Arkhangelsk: Institute of Ecological Problems of the North, Ural Branch of the Russian Academy of Sciences, 2000, pp. 230–234. (In Russ.)

18. Trubin D.V., Tretyakov S.V., Koptev S.V., Pyaivinen R., Pussinen A. Dynamics and prospects of forest management in the Arkhangelsk region Arkhangelsk: ASTU Publishing House, 2000. 96 p. (In Russ.)

19. Verkerk P., Fitzgerald J., Datta P., Dees M., Hengeveld G.M., Lindner M., Zudin S. Spatial distribution of the potential forest biomass availability in Europe. Forest Ecosystems, 2019, vol. 6, no 5. pр. 1–11.


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For citations:


Koptev S.V., Tretyakov S.V., Ilintsev A.S., Drozhzhin D.P., Shamontyev I.G. Multivariant Scenarios for the Dynamics of Forest Use in the Arkhangelsk Region. Izvestia Sankt-Peterburgskoj lesotehniceskoj akademii. 2023;(246):191-205. (In Russ.) https://doi.org/10.21266/2079-4304.2023.246.191-205

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ISSN 2079-4304 (Print)
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