Open Access Peer-reviewed Research Article

Regulatory Roles of Boreal and Nemoral Forests in the Volga River Basin in Carbon Cycle and Anthropogenic Warming Mitigation: A Predictive Empirical-Statistical Modeling Study

Main Article Content

Erland G. Kolomyts corresponding author

Abstract

The well-known conceptual provisions on the ecological resources of forest cover as their ability to additionally absorb greenhouse gases through the mechanisms of carbon cycle regulation under global climate change are empirically substantiated. A predictive landscape-ecological analysis of forest cover in the Volga River basin is presented, which highlights the task of greenhouse gas sequestration included in the list of tasks of the Paris Agreement (2015) on climate change. Data from large-scale landscape surveys previously conducted by the author in the Middle and Upper Volga regions were used. Calculations of the carbon balance of forest formations in the Volga River basin were performed for global moderate and extreme warming scenarios. Multiple regression methods were used to reveal the spatial variability of forest carbon balance in relation to changes in forest ecosystems' adaptive potential and the climate predicted for 2100 by the global HadCM3 model, which was consistent with the current unprecedented rate of global warming. The absorption potential of indigenous and derivative boreal and nemoral forests was established; their ability to mitigate the effects of climate change, including the reduction of anthropogenic warming, was assessed. Contrasting changes in the ecological resources of boreal and nemoral forests amid global warming were identified. A quantitative assessment of the loss of ecological resources of forests in the Volga River basin since the beginning of intensive forest and land utilization was conducted. Using the Volga River basin as an example, a regional experiment was conducted to numerically solve the dual problem set by the Paris (2015) Agreement on Climate Change: namely, to calculate the sequestration of CO2 from the atmosphere by forest communities under current global warming, taking into account their adaptation to climate change.

Keywords
forest ecosystems, boreal belt, indigenous and derivative forests, climate change, carbonbalance, predictive empirical-statistical modeling

Article Details

Supporting Agencies
This research was supported by the Russian Foundation for Basic Research (Grant No. 18-05-00024-a).
How to Cite
Kolomyts, E. G. (2026). Regulatory Roles of Boreal and Nemoral Forests in the Volga River Basin in Carbon Cycle and Anthropogenic Warming Mitigation: A Predictive Empirical-Statistical Modeling Study. Resources Environment and Information Engineering, 8(1), 450-463. https://doi.org/10.25082/REIE.2026.01.002

References

  1. Morozov GF. The doctrine of the forest (in Russian). 7th ed. Moscow–Leningrad: Gos-lesbumizdat. 1949, 455.
  2. Sukachev VN. Selected Works. Vol. I. Fundamentals of forest typology and biogeocenology (in Russian). Leningrad: Nauka. 1974, 418.
  3. Isaev AS, ed. Diversity and dynamics of forest ecosystems in Russia (in Russian). Book 1. Moscow: KMK. 2012, 460.
  4. Bryant LR, Nielsen D, Tangley L. The last frontier forests. Washington, DC: World Resources Institute. 1997, 42.
  5. Stinson G, Kurz WA, Smyth CE, et al. An inventory-based analysis of Canada’s managed forest carbon dynamics, 1990 to 2008. Global Change Biology. 2011, 17(6): 2227-2244. https://doi.org/10.1111/j.1365-2486.2010.02369.x
  6. Losev KS. Environmental problems and prospects for sustainable development of Russia in the XXI century (in Russian). Moscow: Publishing house ``Kosmosinform". 2001, 399.
  7. Shvidenko AZ, Kraxner F, Obersteiner M, et al. The problem of transition to sustainable forest management in Russia; potential and risks (in Russian). In: Proceedings of the All-Russian conference with International participation ``Forest biogeocoenoses of the boreal zone: geography, structure, functions, dynamics"; September 16–19, 2014; Krasnoyarsk, Russia. Novosibirsk: Publishing house of SB RAS; 2014:14-19.
  8. Gorshkov VG. Physical and biological bases of life stability. Man. Biota. Environment. New York: Springer Verlag. 1994, 470.
  9. Makarieva AM, Gorshkov VG. Biotic pump of atmospheric moisture as driver of the hydrological cycle on land. Hydrology and Earth System Sciences. 2007, 11(2): 1013-1033. https://doi.org/10.5194/hess-11-1013-2007
  10. Puzachenko YG. Climatic space of the biosphere (in Russian). In: Geography of productivity and biogeochemical circulation of land landscapes. Moscow: KMK. 2007: 100-113.
  11. Kellomäki S, Peltola H, Nuutinen T, et al. Sensitivity of managed boreal forests in Finland to climate change, with implications for adaptive management. Philosophical Transactions of the Royal Society B: Biological Sciences. 2007, 363(1501): 2339-2349. https://doi.org/10.1098/rstb.2007.2204
  12. Albritton DL, Barker T, Bashmakov I, et al. Changing of the climate. 2001. Synthesis report MGEIK. Whotson RT, ed. Geneva: World Meteorological Organization. 2003, 220.
  13. Le Quéré C, Moriarty R, Andrew RM, et al. Global carbon budget 2014. Earth System Science Data. 2015, 7(1): 47-85. https://doi.org/10.5194/essd-7-47-2015
  14. Shvidenko AZ, Schepaschenko DG, Kraxner F, et al. Transition to sustainable forest management in Russia: theoretical and methodological prerequisites (in Russian). Sib For J. 2017, 6: 3-25.
  15. Paris Agreement. Conference of the Parties Twenty-first session. Paris, France: United Nations Framework Convention on Climate Change, 2015. http://unfccc.int/resource/docs/2015/cop21/eng/109r01.pdf
  16. Utkin AI. Carbon cycle and forestry (in Russian). Lesovedenie. 1995, 5: 3-20.
  17. Tishkov AA. Biosphere functions of natural ecosystems in Russia (in Russian). Moscow: Nauka. 2005, 310.
  18. Gauthier S, Bernier P, Kuuluvainen T, et al. Boreal forest health and global change. Science. 2015, 349(6250): 819-822. https://doi.org/10.1126/science.aaa9092
  19. Sukachev VN. Selected Works. Vol. 3. Problems of phytocoenology (in Russian). Leningrad: Nauka. 1975: 543.
  20. Gribova SF, Isachenko TI, Lavrenko EM, eds. Vegetation of the European part of the USSR (in Russian). Leningrad: Nauka. 1980, 429.
  21. Kotova TV, ed. Vegetation of the European part of the USSR and the Caucasus (in Russian). M-b 1:2,000,000. Moscow: GUGK. 1987.
  22. Kolomyts EG. Mechanisms of Forest Ecosystems Sustainability in a Changing Climate. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-64679-9
  23. Houghton JT, Meira Filho LG, Callander BA, et al, eds. Climate Change 1995. The Science of Climatic Change. Cambridge, UK: Cambridge University Press. 1996, 572.
  24. Berg LS. Selected Works. Vol. 2. Physical Geography (in Russian). Moscow: Izd-vo AN SSSR. 1958, 426.
  25. Klijn F, de Haes HAU. A hierarchical approach to ecosystems and its implications for ecological land classification. Landscape Ecology. 1994, 9(2): 89-104. https://doi.org/10.1007/bf00124376
  26. Odum EP. Fundamentals of Ecology. 3rd ed. Philadelphia, PA: W.B. Saunders Company, 1971.
  27. Shvidenko AZ, Shchepashchenko DG, Nilson S, et al. Tables and models of the course of growth and productivity of plantations of the main forest-forming species of Northern Eurasia (regulatory and reference materials) (in Russian). Federal Agency for Forestry. 2008.
  28. Bartalev SA, Ershov DV, Isaev AS, et al. Vegetation map of Russia (in Russian). Moscow: IKI RAN and CEPL RAN. 2010.
  29. Sochava VB. Vegetation cover on the geobotanic maps (in Russian). Novosibirsk: Nauka. 1979: 189.
  30. Montgomery DC, Peck EA. Introduction to linear regression analysis. New York: John Wiley & Sons. 1982: 504.
  31. Hansen J, Sato M, Ruedy R, et al. Dangerous human-made interference with climate: a GISS modelE study. Atmospheric Chemistry and Physics. 2007, 7(9): 2287-2312. https://doi.org/10.5194/acp-7-2287-2007
  32. Isachenko TI, Lavrenko EM, eds. Vegetation map of the European part of the USSR (in Russian). M-b 1:2,500,000. Moscow: GUGK. 1974.
  33. Pope VD, Gallani ML, Rowntree PR, et al. The impact of new physical parametrizations in the Hadley Centre climate model: HadAM3. Climate Dynamics. 2000, 16(2-3): 123-146. https://doi.org/10.1007/s003820050009
  34. Aber J, Neilson RP, Mcnulty S, et al. Forest Processes and Global Environmental Change: Predicting the Effects of Individual and Multiple Stressors. BioScience. 2001, 51(9): 735. https://doi.org/10.1641/0006-3568(2001)051[0735: fpagec]2.0.co, 2
  35. Zamolodchikov DG. Vulnerability and adaptation of Russian forestry to climate change (in Russian). Proceedings of the All-Russian scientific conference with international partici-pation ``Scientific foundations of sustainable forest management", dedicated to the 30th anniversary of the CEPL RAS, 223–225.Moscow: CEPL RAN, 2022.
  36. Shary PA, Sharaya LS, Mitusov AV. Fundamental quantitative methods of land surface analysis. Geoderma. 2002, 107(1-2): 1-32. https://doi.org/10.1016/s0016-7061(01)00136-7
  37. Shvidenko AZ. Global changes and Russian forest taxation. Forest taxation and forest management. 2012, 47(1): 52-75.