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Carbon absorption by forests in the Volga region and Siberia: state and prospects

A.I. Pyzhev, E.A. Vaganov

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The prospect of Russia’s economic development will be inextricably bound up with the country’s success in the implementation of global climate initiatives. The strategy for the development of the national economy with a low level of greenhouse gas emissions, which is currently being formed, implies the fullest use of the potential for carbon sequestration by forest ecosystems, including through the implementation of various forest-climatic projects. 

The article shows that despite the world’s largest forest areas, the carbon-absorbing capacity of Russian forests cannot balance anthropogenic greenhouse gas emissions. Using the examples of several regions of the Volga region and Siberia, the spatial dynamics of the forest carbon budget in the 2010s is considered. For the regions of Siberia rich in boreal forests, there is a significant disproportion between the quantitative and qualitative characteristics of forest resources and the absorbing capacity, which is explained by the ineffective forestry regime in the territory and the high intensity of forest disturbances. Taking into account the fact that building an effective system for combating forest fires and insect pests requires very voluminous and expensive measures, the effectiveness of which is difficult to assess, the above illustrations of the current situation lead to the idea that, in addition to using the potential for increasing carbon sequestration in traditional forest regions in the implementation of forest-climatic projects should pay attention to sparsely forested areas.

Economics of climate change, forest ecosystems, carbon-absorbing capacity of forests, carbon budget, greenhouse gases, Russia, global climate initiatives, forest-climate projects

  • Baranchikov Yu.N., Petko V.M., Astapenko S.A., Akulov E.N., Krivets S.A. (2011). The Ussuri polygraph is a new aggressive pest of fir in Siberia. Vestnik Moskovskogo gosudarstvennogo universiteta lesa – lesnoi vestnik, 4, pp. 78–81. (In Russ.)
  • Box G., Jenkins G. (1970). Time Series Analysis: Forecasting and Control. San Francisco: Holden-Day, 553 p.
  • Danilov-Daniliyan V.I., Kattsov V.M., Porfiriev B.N. (2020). The problem of climate change is a field of convergence and interaction of natural and socio-humanitarian sciences. Vestnik Rossiiskoi akademii nauk [Herald of the Russian Academy Of Sciences], 90(10), pp. 914–925. (In Russ.).
  • Filipchuk A., Moiseev B., Malysheva N., Strakhov V. (2018). Russian forests: A new approach to the assessment of carbon stocks and sequestration capacity. Environmental Development, 26, pp. 68–75.
  • Filipchuk A.N., Malysheva N.V., Zolina T.A., Yugov A.N. (2020). Boreal Forests of Russia: Opportunities for Climate Change Mitigation. Lesokhozyaistvennaya informatsiya [Forestry information], 1, pp. 92–114. (In Russ.)
  • Hyndman R. J., Khandakar Y. (2008). Automatic time series forecasting: The forecast package for R. Journal of Statistical Software, 26, pp. 1–22.
  • Ivantsova E.D., Pyzhev A.I., Zander E.V. (2019). Economic Consequences of Insect pests outbreaks in boreal forests: a literature review. Journal of Siberian Federal University. Humanities & Social Sciences, 12(4), pp. 627–642.
  • Kolpakov A.Yu. (2021). Adequate response to the introduction of the EU carbon border adjustment mechanism. Proc. XVI Int. Sci. and Pract. Conf. of the Russian Society of Ecological Economics “Resource Economy, Climate Change and Environmental Management”. Krasnoyarsk, pp. 84–85. (In Russ.)
  • Kryukov V.A., Lavrovskii B.L., Seliverstov V.E. et al. (2020). Siberian Development Vector: Based on Cooperation and Interaction. Stud Russ Econ Dev., 5(182), pp. 46–59. (In Russ.).
  • Makarov I.A., Chen Kh., Paltsev S.V. (2018). Impacts of Paris Agreement on Russian economy. Voprosy Ekonomiki, 4, pp. 76–94. (In Russ.).
  • Nilsson S., Vaganov E.A., Shvidenko A.Z. et al. (2003). Carbon budget of plant ecosystems in Russia. Doklady akademii nauk, 393(4), pp. 541–543. (In Russ.)
  • Porfir’ev B.N., Shirov A.A, Kolpakov A.Yu. (2020). Low-carbon development strategy: prospects for the Russian economy. World Economy and International Relations, 64(9), pp. 15–25. (In Russ.).
  • Pyzhev A.I., Vaganov E.A. (2019). Global Climate Change Economics: The Role of Russian Forests. EKO [ECO], 11, pp. 27–44. (In Russ.)
  • R Core Team. R: A Language and Environment for Statistical Computing.
  • Rogelj J. et al. (2021). Net-zero emissions targets are vague: three ways to fix. Nature, 591(7850), pp. 365–368.
  • Romanovskaya A.A., Trunov A.A., Korotkov V.N., Karaban’ R.T. (2018). The problem of accounting for carbon sequestration ability of russian forests in Paris climatic agreement. Lesovedenie, 5, pp. 323–334. (In Russ.)
  • Schepaschenko D., Moltchanova E., Fedorov S. et al. (2021). Russian forest sequesters substantially more carbon than previously reported. Scientific Reports, 11, 12825.
  • Shirov A.A., Belousov D.R., Blokhin A.A. et al. (2020). Post-crisis economic recovery and the main directions of forecasting the socio-economic development of Russia for the period up to 2035. Moscow: Nauka, 152 p. (In Russ.)
  • Shvidenko A.Z., Shchepashchenko D.G. (2014). Carbon budget of Russian forests. Sibirskii lesnoi zhurnal [Siberian Forest Journal], 1, pp. 69–92. (In Russ.)
  • Tennekes M. (2018). Tmap: Thematic Maps in R. Journal of Statistical Software, 84, pp. 1–39.
Anton I. Pyzhev
Siberian Federal University 
Institute of Economics and Industrial Engineering of the Siberian Branch of the Russian Academy of Sciences
79, Svobodny Ave, Krasnoyarsk, 660041, Russian Federation
Eugene A. Vaganov
Siberian Federal University 
79, Svobodny Ave., Krasnoyarsk, 660041, Russian Federation

For citation:

Pyzhev A.I., Vaganov E.A. (2021). Carbon absorption by forests in the Volga region and Siberia: state and prospects. Georesursy = Georesources, 23(3), pp. 36–41. DOI: