«IZVESTIYA IRKUTSKOGO GOSUDARSTVENNOGO UNIVERSITETA». SERIYA «NAUKI O ZEMLE»
«THE BULLETIN OF IRKUTSK STATE UNIVERSITY». SERIES «EARTH SCIENCES»
ISSN 2073-3402 (Print)

List of issues > Series «Earth Sciences». 2026. Vol 56

Analysis of the Features of the 15-Year Reforestation Period on Burnt-out Areas in the Pine Forests of the South-Western Baikal Region (Prolongation of the Synthesized Analysis of Field and Remote Data)

Author(s)

Zh. V. Atutova, Е. А. Rasputina

V. B. Sochava Institute of Geography SB RAS, Irkutsk, Russian Federation

Abstract
The results of long-term field observations of forest restoration burnt-out areas of the Badary urochishche are presented. Annual geobotanical results are considered in synthesis with NBR spectral index indicators. We considered the possibility of using geodata for remote detection of burnt-out areas and subsequent study of post-fire forest reforestation processes. The authors' previously obtained results from a synthesized analysis of in situ observations and remote sensing data served as the basis for this study. These were supplemented by geobotanical data from 2023–2025 and NBR indicators for the same period. This study analyzed data from 2009 (the pre-fire year) to 2025. Previous studies showed a sharp decrease in index values after a wildfire, indicating their informative value in quickly identifying areas affected by wildfires. In the post-fire period, the previously identified upward dynamics of NBR indicators in each seasonal group continued, which correlates with the increasing geobotanical characteristics during the forest restoration process. In forests unaffected by wildfires, NBR values remained stable throughout the observation period. In burnt-out areas, the index again showed a tendency to overestimate its values. Final NBR values for the mid- and late-growing seasons exceeded pre-fire values; in the early growing season, they closely approached them. At the same time, the in-situ situation was more consistent with the initial stage of forest restoration. This proves once again that a single analysis of NBR indicators in post-fire restoration studies does not guarantee an objective assessment of the landscape-ecological situation. Previously obtained conclusions about the feasibility of using peak vegetation NBR data to identify newly formed burnt-out areas and to assess the initial stages of the demutation process were confirmed. It is recommended to analyze the further course of the reforestation dynamics taking into account the indicators of the early growing season, devoid of the “inflating” influence of the living ground cover on the increase in the index indicators.
About the Authors

Atutova Zhanna Vladimirovna, Candidate of Sciences (Geography), Senior Research Scientist, Laboratory of Geomorphology V. B. Sochava Institute of Geography SB RAS 1, Ulan-Batorskaya st., Irkutsk, 664033, Russian Federation e-mail: atutova@mail.ru 

Rasputina Elena Aleksandrovna, Candidate of Sciences (Geography), Senior Research Scientist, Laboratory of Theoretical Geography V. B. Sochava Institute of Geography SB RAS 1, Ulan-Batorskaya st., Irkutsk, 664033, Russian Federation e-mail: elenaistoma@gmail.com

For citation
Atutova Zh.V., Rasputina Е.А. Analysis of the Features of the 15-Year Reforestation Period on Burnt-out Areas in the Pine Forests of the South-Western Baikal Region (Prolongation of the Synthesized Analysis of Field and Remote Data). The Bulletin of Irkutsk State University. Series Earth Sciences, 2026, vol. 56, pp. 33-52. https://doi.org/10.26516/2073-3402.2026.56.33 (in Russia)
Keywords
burnt-out area, reforestation, geobotanical observations, monitoring, remote data, NBR spectral index.
UDC
911.52+574.474(571.54)
DOI
https://doi.org/10.26516/2073-3402.2026.56.33
References
  1. Atutova Zh.V. Analiz poslepozharnoj vosstanovitelnoj dinamiki sosnovyh lesov urochishcha Badary (Respublika Buryatiya) [Analysis of the post-fire restoration dynamics in pine forests of the Badary tract (Republic of Buryatia]. Geografiya i prirodnye resursy [Geography and Natural Resources], 2023, no 5, vol. 44, pp. 71-77. https://dx.doi.org/10.15372/GIPR20230508
  2. Atutova Zh.V. Post-fire restoration of pine forest in the Badary area, Tunkinskiy National Park, Russia. Nature Conservation Research, 2023, vol. 8, no. 2, pp. 22-32. https://doi.org/10.24189/ncr.2023.010
  3. Atutova Zh.V. Postpirogennoe vosstanovlenie podtaezhnyh svetlohvojnyh geo-sistem Tunkinskoj kotloviny, Yugo-Zapadnoe Pribajkal'e (na primere sosnovyh lesov urochishcha Badary) [Postpyrogenic reforestation of subtaiga light coniferous geosystems of the Tunkinskaya depression, South-Western Cisbaikalia (the study of pine forests of the Badary urochishche)]. Geograficheskij vestnik [Geographical bulletin], 2022, no. 4(63), pp. 6-18. https://doi.org/10.17072/2079-7877-2022-4-6-18 (in Russian)
  4. Atutova Z.V., Rasputina E.A. Applicability of NBR and dNBR indices in assessment of pyrogenic transformation and post-fire forest regeneration: case study of southeastern Siberia coniferous forests. Geography, Environment, Sustainability, 2025, vol. 4 (18), pp. 36-47. https://doi.org/10.24057/2071-9388-2025-3963
  5. Ashik E.V., Chubarova YU.M., Yarmishko V.T. Poslepozharnaya dinamika drevostoev i podrosta Pinus silvestris (PINACEAE) v usloviyah Ladozhskih shkher [Post-fire dynamics of stands and undergrowth of Pinus silvestris (PINACEAE) in the Ladoga skerries]. Rastitelnye resursy [Plant resources], 2015, vol. 3, pp. 384-396. (in Russian)
  6. Avetisyan D., Velizarova E., Filchev L. Post-fire forest vegetation state monitoring through Satellite Remote Sensing and In Situ Data. Remote Sensing, 2022, vol. 14, pp. 6266. https://doi.org/10.3390/rs14246266
  7. Ba R., Song W., Lovallo M., Zhang H., Telesca L. Informational analysis of MODIS NDVI and EVI time series of sites affected and unaffected by wildfires. Physica A: Statistical Mechanics and its Applications, 2022, vol. 604, pp. 127911. https://doi.org/10.1016/j.physa.2022.127911
  8. Bugaeva K.S., Oskorbin P.A. Poslepozharnaya dinamika lesnyh nasazhdenij v Krasnoyarskoj lesostepi [Post-fire dynamics of forest plantations in the Krasnoyarsk forest-steppe]. Lesovedenie [Forestry], 2008, no. 4, pp. 28-33. (in Russian)
  9. Burrell A.L., Sun Q., Baxter R., Kukavskaya E.A., Zhila S., Shestakova T., Rogers B. M., Kaduk J., Barrett K. Climate change, fire return intervals and the growing risk of permanent forest loss in boreal Eurasia. Science of the Total Environment, 2022, vol. 831, pp. 154885. https://doi.org/10.1016/j.scitotenv.2022.154885
  10. Chu T., Guo X., Takeda K. Remote sensing approach to detect post-fire vegetation regrowth in Siberian boreal larch forest. Ecological Indicators. 2016. vol. 62, pp. 32-46. https://doi.org/10.1016/j.ecolind.2015.11.026
  11. Chugunova R.V. K voprosu o klassifikacii garej [On the classification of burnt areas]. Nauchnye soobshcheniya. Vypusk 3 [Scientific communications. Is. 3]. Yakutsk, Yakut book publ., 1960, pp. 67-70. (in Russian)
  12. Cuevas-González M., Gerard F., Balzter H., Riaño D. Analysing forest recovery after wildfire disturbance in boreal Siberia using remotely sensed vegetation indices. Global Change Biology, 2009, vol. 15, issue 3, pp. 561–577. https://doi.org/10.1111/j.1365-2486.2008.01784.x
  13. Hao B., Xu X., Wu F., Tan L. Long-term effects of fire severity and climatic factors on post-forest-fire vegetation recovery. Forests, 2022, vol. 13, pp. 883. https://doi.org/10.3390/f13060883
  14. Haritonova A.O., Haritonova T.I. Vliyanie landshaftnoj struktury Mordovskogo zapovednika (Rossiya) na rasprostranenie pozhara 2010 goda [The effect of landscape pattern on the 2010 wildfire spread in the Mordovia state nature reserve, Russia]. Zapovednaya nauka [Nature Conservation Research], 2021, vol. 6, no. 2, pp. 29-41. https://doi.org/10.24189/ncr.2021.022 (in Russian)
  15. Kibler C.L., Parkinson A.-M.L., Peterson S.H., Roberts D.A., D’Antonio C.M., Meerdink S.K., Sweeney S.H. Monitoring post-fire recovery of chaparral and conifer species using field Surveys and Landsat time series. Remote Sensing, 2019, vol. 11 (24), p. 2963. https://doi.org/10.3390/rs11242963.
  16. Kukavskaya E.A., Buryak L.V., Kalenskaya O.P., Zarubin D.S. Transformaciya napoch-vennogo pokrova pri nizovyh pozharah i ocenka pirogennoj emissii ugleroda v tem-nohvojnyh lesah Srednej Sibiri [Transformation of ground cover during ground fires and assessment of pyrogenic carbon emissions in dark coniferous forests of Central Siberia]. Sibirskij ekologicheskij zhurnal [Siberian Ecological Journal], 2017, no. 1, pp. 72-82. https://doi.org/10.15372/SEJ20170108 (in Russian)
  17. Malinovskih A.A. Stepen razvitiya rastitelnogo pokrova v raznyh tipah lesorastitel'nyh uslovij na garyah v lentochnyh borah Altajskogo kraya [Plant cover development degree under different types of forest growth conditions on burnt areas in the belt pine forests of the Altai region]. Lesnoj vestnik [Forestry Bulletin], 2020, vol. 24, no. 4, pp. С. 43–51. https://doi.org/10.18698/2542-1468-2020-4-43-51 (in Russian)
  18. Ponomarev E., Zabrodin A., Ponomareva T. Classification of fire damage to boreal forests of Siberia in 2021 based on the dNBR index. Fire, 2022, vol. 5, no. 1, p. 19. https://doi.org/10.3390/fire5010019
  19. Pushkin A.A., Sidelnik N.YA., Kovalevskij S.V. Ispolzovanie materialov kos-micheskoj s"emki dlya ocenki pozharnoj opasnosti v lesah [Using space imagery to assess forest fire risk]. Trudy BGTU [Proceedings of BSTU], 2015, no. 1 (174): Lesnoe hozyajstvo [Forestry], pp. 36-40. (in Russian)
  20. Rodionova N.V., Vahnina I.L., ZHelibo T.V. Ocenka dinamiki poslepozharnogo sostoyaniya rastitel'nosti na territorii Ivano-Arahlejskogo prirodnogo parka (Zabajkalskij kraj) po radarnym i opticheskim dannym sputnikov Sentinel ½ [Assessment of the dynamics of postfire state of vegetation in territory Ivan-Arakhley Natural Park (Zabaikalsky Krai) using radar and optical Sentinel 1/2 Data]. Issledovanie Zemli iz kosmosa [Exploration of Earth from space], 2020, no. 3, pp. 14-25. https://doi.org/10.31857/S0205961420030045 (in Russian)
  21. Rozhkov Yu.F., Kondakov M.Yu. Ocenka processa vosstanovleniya lesov posle pozhara s ispolzovaniem klasternogo analiza pri deshifrirovanii kosmicheskih snimkov [Assessing the forest restoration process after a fire using cluster analysis in satellite imagery interpretation]. Vestnik Severo-Vostochnogo Federalnogo universiteta [Vestnik of North-Eastern Federal University], 2017, no. 2, pp. 38-48. (in Russian)
  22. Santos S.M.B.d., Bento-Gonçalves A., Franca-Rocha W., Baptista G. Assessment of burned forest area severity and postfire regrowth in Chapada Diamantina National Park (Bahia, Brazil) using dNBR and RdNBR spectral indices. Geosciences, 2020, vol. 10(3), pp. 106. https://doi.org/10.3390/geosciences10030106
  23. Shvecov E.G., Ponomarev E.I. Poslepozharnye effekty v listvennichnikah Sibiri na mnogospektralnyh sputnikovyh dannyh [Post-fire effects in Siberian larch forests using multispectral satellite data]. Sibirskij ekologicheskij zhurnal [Contemporary Problems of Ecology], 2020, no. 1, pp. 129-140. https://doi.org/10.15372/SEJ20200110. (in Russian)
  24. Sidelnik N.Ya., Pushkin A.A., Kovalevskij S.V. Kartirovanie povrezhdennyh lesnyh nasazhdenij i ob"ektov lesohozyajstvennyh meropriyatij s ispolzovaniem materialov kosmicheskoj s"emki i GIS-tekhnologij [Mapping damaged forest stands and forest management facilities using satellite imagery and GIS technologies]. Trudy BGTU [Proceedings of BSTU], 2018, vol. 1, no.1, pp. 5-12. (in Russian)
  25. Soromotin A.V., Brodt L.V., Prihodko N.V. Transformaciya indeksov NDVI i NBR na postpirogennyh territoriyah v zone lesotundr YANAO [Transformation of NDVI and NBR indices in postpyrogenic areas in the forest-tundra zone of the Yamalo-Nenets Autonomous Okrug]. Vysokie tekhnologii, nauka i obrazovanie: aktualnye voprosy, dostizheniya i innovacii [High technologies, science and education: current issues, achievements and innovations]. Proc. of the 17th All-Russian sci. and pract. conf.]. Penza, Nauka and Prosveshchenie Publ., 2022, pp. 262-265. (in Russian)
  26. Tokareva O.S., Alshaibi A.D.A., Pasko O.A. Ocenka vosstanovitelnoj dinamiki rastitelnogo pokrova lesnyh garej s ispolzovaniem dannyh so sputnikov Landsat [Assessing the restoration dynamics of vegetation cover in forest burnt areas using data from Landsat satellites]. Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov [Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering], 2021, vol. 332, no. 7, pp. 191-199. https://doi.org/10.18799/24131830/2021/7 (in Russian)
  27. Vorob'ev O.N., Kurbanov E.A., Gubaev A.V., Lezhnin S.A., Polevshchikova Yu.A. Distancionnyj monitoring garej v Marijskom Zavolzh'e [Remote monitoring of burnt areas in the Mari Trans-Volga region]. Vestnik Povolzhskogo gosudarstvennogo tekhnologicheskogo universiteta. Seriya: Les. Ekologiya. Prirodopolzovanie [Bulletin of the Volga Region State Technological University. Series Forest. Ecology. Nature Management], 2012, no. 1, pp. 12-22. (in Russian)
  28. Xofis P., Spiliotis J.A., Chatzigiovanakis S., Chrysomalidou A.S. Long-term monitoring of vegetation dynamics in the Rhodopi Mountain Range National Park-Greece. Forests, 2022, vol. 13, pp. 377. https://doi.org/10.3390/f13030377
  29. Yakimov N.D., Zabrodin A.N., Ponomarev E.I. Svyaz stepeni pozharnogo vozdejstviya s vosstanovitelnoj dinamikoj rastitelnosti po dannym monitoringa spektralnyh indeksov [The relationship between the degree of fire impact and vegetation recovery dynamics based on spectral index monitoring data]. Aktualnye problemy obespecheniya pozharnoj bezopasnosti i zashchity ot chrezvychajnyh situacij [Current issues in fire safety and emergency protection]. Collection of materials from the All-Russian scientific and practical conference]. Zheleznogorsk, Siberian fire and rescue Academy of the State fire service of the Ministry of emergencies situations of Russia Publ., 2022, pp. 55-60. (in Russian)
  30. Zhila S.V., Ivanova G.A., Ivanov V.A., Cvetkov P.A. Lesovozobnovlenie posle pozharov raznoj intensivnosti v sosnyakah Srednej Sibiri [Reforestation after fires of different intensity in pine forests of Central Siberia]. Sibirskij lesnoj zhurnal [Siberian Journal of Forest Science], 2019, no 6, pp. 53-62. https://doi.org/10.15372/SJFS20190606 (in Russian)

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