A. V. Ignateva¹, N. V. Baranovskiy ²

¹ National Research Tomsk State University

Lenin ave., 36, Tomsk, 634050, Russia

² National Research Tomsk Polytechnic University

Lenin ave., 30a, Tomsk, 634050, Russia

E-mail: anna_tomsktsu@mail.ru

Received: 11.06.2021

Revised: 11.07.2022

Accepted: 16.07.2022

The Republic of Buryatia is annually exposed to forest fires, resulting in significant damage to the economy, population and ecology of the region. The purpose of this study is to analyze and assess the fire hazard situation on the territory of the Republic of Buryatia from 2013 to 2019. The article presents an analysis of the affected and deceased population of the republic as a result of the impact of the damaging factors of fires. The article analyzes the fire hazard situation in the forestries of Buryatia based on the calculated values of the vulnerability of the territory to fires. According to the analysis of the vulnerability of forest areas, the greatest vulnerability is characteristic of forest areas with a higher population density and a predominance of pine forests in the species composition. Pine is highly combustible and, accordingly, contributes to the rapid spread of fires. The dynamics of the occurrence and spread of fires on the territory of the subject for the period from 2013 to 2019 is also analyzed. Most of the fires that are recorded in the Republic of Buryatia are anthropogenic in nature. Also in 2015, the largest areas of fires, the number of injured and dead people were noted on the territory of the republic.

Key words: natural emergencies, fires, natural hazards, spread of fires, Republic of Buryatia, vulnerability of the territory from fires

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]]> https://jfsi.ru/en/5-2-2022-savin_et_al/ Fri, 30 Sep 2022 19:02:41 +0000 https://jfsi.ru/?p=5174

M. S. Savin¹, A. S. Plotnikova², A. N. Narykova²

¹ Faculty of Geography of Moscow State University

² Center for Forest Ecology and Productivity of the RAS

Profsoyuznaya st. 84/32 bldg. 14, Moscow, 117997, Russia

E-mail: odm244@gmail.com

Received: 18.04.2022

Revised: 15.05.2022

Accepted: 25.05.2022

The article presents the experience of using GIS technologies to prepare predictors of regression models of carbon stocks created using the random forest machine learning method. The study was conducted on the territory of the Dankovsky district forestry, located in the south of the Moscow region. GIS analysis of spatial data containing information about the relief and hydrographic network of the study area was performed. As a result, morphometric values describing the surface runoff and altitude zonality of the study area have been created, which will be considered as predictors of carbon stock modeling. The article describes GIS tools that allow you to create thematic geospatial products: exposure, slope steepness and curvature; direction, distance and length of the flow line, total flow; average altitude above sea level and distance to the river. In addition, the boundaries of river catchment basins have been identified by means of GIS analysis, within which it is also planned to perform carbon stock modeling.

Keywords: GIS analysis, forests, climate-regulating functions and services, morphometric relief value, DEM, SRTM, OSM

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V. N. Shanin^{1, 2, 3*}, P. V. Frolov^1,3, V. N. Korotkov³

¹Institute of Physico-Chemical and Biological Problems in Soil Science of the RAS, Federal Research Centre “Pushchino Scientific Centre of Biological Research RAS”

 Institutskaya st., 2, bld. 2, Pushchino, Moscow region, 142290, Russia

²Center for Forest Ecology and Productivity of the RAS

Profsoyuznaya st. 84/32 bldg. 14, Moscow, 117997, Russia

³Yu. A. Izrael Institute of Global Climate and Ecology

Glebovskaya st. 20B, Moscow, 107258, Russia

*E-mail: shaninvn@gmail.com

Received: 23.05.2022

Revised: 15.06.2022

Accepted: 20.06.2022

Currently, forest climatic projects aimed at enhancing the carbon sequestration in forest ecosystems are becoming very popular. The main requirements for such projects include additionality, permanence and the absence of leakage. Compliance with these requirements ensures that the project fulfils the tasks at which it is aimed. Predictive modelling can be one of the tools for checking the compliance of forest climate projects with the above principles. The purpose of the study was to assess the prospects for carbon accumulation during the implementation of reforestation projects in the Krasnoyarsk and Irkutsk regions. An assessment of the carbon balance in the territory of artificial reforestation projects was carried out at the baseline (natural regeneration of Betula spp. and Populus tremula L.) and during the implementation of the forest climatic project (planting of Pinus sylvestris L.) with a forecast for 100 years. The results show that during the implementation of the project, the achieved level of emissions is higher and the level of carbon sequestration is lower compared to the baseline, which contradicts the principle of additionality, and, therefore, artificial reforestation cannot be considered as a forest climatic project. The highest efficiency in carbon sequestration for mixed plantations is predicted for mixtures of Pinus sylvestris with 20–30 percent of small-leaved species (Betula spp. and Populus tremula). However, the implementation of artificial reforestation projects can be essential for the reproduction of valuable forest resources, but in this case it is necessary to take into account the way the obtained phytomass of trees is used, since the length of the carbon conservation period will depend on this.

Key words: forest climatic projects, reforestation, mixed plantations, carbon budget, greenhouse gases, predictive modelling

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 А. V. Gornov, А. P. Geraskina, D. V. Ershov, D. N. Tebenkova, N. Е. Shevchenko

Center for Forest Ecology and Productivity of the RAS

Profsoyuznaya st. 84/32 bldg. 14, Moscow, 117997, Russia

E-mail: cepfras@cepl.rssi.ru

Received: 14.07.2022

Accepted: 22.07.2022

July 24, 2022 is the anniversary date of the birth of Natalya Vasilievna Lukina – corresponding member of the Russian Academy of Sciences, doctor of biological sciences, professor, prominent scientist in forest ecology, forest science and forest soil science, director of the Center for Forest Ecology and Productivity of the Russian Academy of Sciences, chairman of the Scientific Council of the Russian Academy of Sciences on forests, editor-in-chief of the journals “Russian Journal of Forest Science” and “Forest Science Issues”. The article summarizes the main directions of scientific, scientific-organizational and expert activities of N. V. Lukina.

Key words: forest, forest science, forest ecology, forestry, forest soil science, ecosystem functions of forests, biogeochemistry, forest policy, CEPF RAS, Scientific Council of the Russian Academy of Sciences on forests

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Bioraznoobrazie i funkcionirovanie lesnyh ekosistem (Biodiversity and Functioning of Forest Ecosystems), edited by Corresponding Member of the RAS N. V. Lukina, Moscow: KMK, 2021, 386 p.

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Lukina N. V., Biogeohimicheskie cikly mineral’nyh elementov v lesah Severa v usloviyah aerotekhnogennogo zagryazneniya, Diss. … dokt. biol. nauk (Biogeochemical cycles of mineral elements in the forests of the North under conditions of aerotechnogenic pollution, Diss. … doct. biol. sciences), Moscow: Moscow State University M. V. Lomonosov, 1995, 491 p.

Lukina N. V., Dinamika organicheskogo veshchestva v el’nikah kustarnichkovo-zelenomoshnyh v usloviyah aerotekhnogennogo zagryazneniya, Diss. … kand. biol. nauk (Dynamics of organic matter in shrub-green moss spruce forests under conditions of aerotechnogenic pollution, Diss. … cand. biol. sciences), Saint Petersburg: Komarov Botanical Institute of the RAS, 1989, 223 р.

Lukina N. V., Geraskina A. P., Kuznecova A. I., Smirnov V. E., Gornov A. V., Shevchenko N. E., Tihonova E. V., Teben’kova D. N., Basova E. V., Funkcional’naya klassifikaciya lesov: aktual’nost’ i podhody k razrabotke (Forests’ functional classification: relevance and approaches to development), Lesovedenie, 2021, No 6, pp. 566–580, DOI 10.31857/S0024114821060085.

Lukina N. V., Nikonov V. V., Biogeohimicheskie cikly v lesah Severa v usloviyah aerotekhnogennogo zagryazneniya (Biogeochemical cycles in the forests of the North under conditions of aerotechnogenic pollution), Apatity: KSC RAS, 1996, part 1, 213 р.; part 2, 192 р.

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Lukina N. V., Tikhonova E. V., Danilova M. A., Bakhmet O. N., Kryshen A. M., Tebenkova D. N. …, & Zukert N. V., Associations between forest vegetation and the fertility of soil organic horizons in northwestern Russia, Forest Ecosystems, 2019, рр. 1–19, DOI: 10.1186/s40663-019-0190-2.

Lukina N., Kuznetsova A., Tikhonova E., Smirnov V., Danilova M., Gornov A., …, & Knyazeva S., Linking Forest Vegetation and Soil Carbon Stock in Northwestern Russia, Forests, 2020, Vol. 11, No 9, Article 979, DOI: 10.3390/f11090979.

Metodicheskie podhody k ekologicheskoj ocenke lesnogo pokrova v bassejne maloj reki (Methodological approaches to the ecological assessment of forest cover in the small river basin), Eds.: L. B. Zaugolnova, T. Yu. Braslavskaya, Moscow: КМК, 2010, 383 p.

Nikonov V. V., Lukina N. V., Bezel V. N., Belsky E. A., Bespalova A. Yu., …, & Isaev A. S., Rasseyannye elementy v boreal’nyh lesah (Scattered elements in boreal forests), Ed.: A. S. Isaev, Moscow: Nauka, 2004, 416 p.

Nikonov V. V., Lukina N. V., Biogeohimicheskie funkcii lesov na severnom predele rasprostraneniya (Biogeochemical functions of forests at the northern limit of distribution), Apatity: KSC RAS, 1994, 315 p.

Nikonov V. V., Lukina N. V., Kislotnye osadki i lesnye pochvy (Acid rain and forest soils), Eds.: V. V. Nikonov, G. N. Koptsik, Apatity: KSC RAS, 1999, 320 p.

URL: http://cepl.rssi.ru/confs/forest_management_2020/ (2022, 20 July).

URL: http://rbf-ras.ru/academic-dispute (2022, 20 July).

URL: https://scientificrussia.ru/articles/cl-korr-ran-n-lukina-les-eto-ne-tolko-drevesina (2022, 20 July).

]]> https://jfsi.ru/en/5-2-2022-tebenkova-et-al/ Thu, 21 Jul 2022 09:35:54 +0000 https://jfsi.ru/?p=5098

D. N. Tebenkova ^1*, N. V. Lukina ¹, A. D. Kataev ¹, S. I. Chumachenko ², V. V. Kiselyova ², A. A. Kolycheva ¹, V. N. Shanin ^{1, 3, 4}, Yu. N. Gagarin ¹, A. I. Kuznetsova ¹

¹ Center for Forest Ecology and Productivity of the RAS

Profsoyuznaya st. 84/32 bldg. 14, Moscow, 117997, Russia

² Bauman Moscow State Technical University, Mytishchi Branch
1st Institutskaya st. 1, Mytishchi, Moscow Oblast 141005 Russia

³Institute of Physicochemical and Biological Problems of Soil Science of the RAS,
Institutskaya st. 2, Pushchino, Moscow Oblast 142290, Russia

⁴ Institute of Mathematical Problems of Biology of the RAS — the Branch of Keldysh Institute of Applied Mathematics of the RAS
Institutskaya st. 4, Pushchino, Moscow Oblast, 142290, Russia

* E-mail: tebenkova.dn@gmail.com

Received: 22.12.2021

Revised: 22.02.2022

Accepted: 28.02.2022

Sustainable forest management implies the necessity to maintain and uphold balance between the growing demand for the forest ecosystem services (ES) and capabilities present. This issue motivates the development of ways to include various ES into the forest ecosystems planning and management system, taking into account social, political, environmental and economic contexts. One of the effective tools for the ES management is imitation modeling, which allows assessing the decision-making risks and consequences. This raises the scientific problem of substantiating possible alternative scenarios for the future forest area development for subsequent simulation.

This article is aimed at analyzing the approaches to creating scenarios for the development of a forest area for the local level imitation modelling and testing a new method based on the development of the existing approaches to solving this problem. In its first part, modern research analysis in the field of imitation scenarios development is presented; the second one proposes a new scenarios’ compiling method, created within the framework of the POLYFORES project, and also presents the results of its testing at three model sites located in the Nizhny Novgorod region, the Republic of Karelia and the Moscow region. For the forest plots of the Nizhny Novgorod region, four scenarios for the forest area development have been created, aimed at obtaining benefits: 1 — from timber harvesting, 2 — from recreational ES and food forest resources, 3 — from regulating ES, 4 — both from timber harvesting, under the conditions of intensified forest growing, and from regulatory ES. For forest plots in the Republic of Karelia, the first scenario describes the situation of meeting the demand for wood, while also preserving the biodiversity and regulating ES, the second and third scenarios take into account the increased demand for wood, with low and high priorities for environmental conservation. For the forest plots of the Moscow region, only two scenarios were relevant, with the increasing need of citizens for recreational ES, and the biodiversity preservation priority in management decisions making either remaining low or increasing. For each scenario, forestry activities corresponding to the objectives of management have been developed. The proposed scenarios can be used to obtain information about the various management decisions impact on the forest ES supply.

Key words: scenario, forest ecosystem services, key factors, forestry regimes, European part of Russia

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