Original Russian Text © 2025 O. N. Ukhvatkina, A. M. Omelko, V. E. Zakharova, A. A. Zhmerenetsky, G. A. Gladkova, L. A. Sibirina, A. V. Kuprin published in Forest Science Issues Vol. 8, No 3, Article 172.

© 2026            O. N. Ukhvatkina*, A. M. Omelko, V. E. Zakharova, A. A. Zhmerenetsky, G. A. Gladkova, L. A. Sibirina, A. V. Kuprin

Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch of the Russian Academy of Sciences

100 Let Vladivostoku Ave., 159, Vladivostok 690022, Russia

*E-mail: ukhvatkina@biosoil.ru

Received: 25.07.2025

Revised: 09.08.2025

Accepted: 15.08.2025

Relevance and aim. Korean pine-broadleaf forests of the southern Sikhote-Alin are unique forest ecosystems with high biological value and complex structure. Under ongoing forest exploitation and degradation of old-growth stands, the evaluation of long-term logging consequences is of special importance. This study aims to assess the state of forest stands 60–70 years after single selective logging conducted in the 1960s, and to compare them with preserved old-growth forests. Materials and methods. The data were collected within the Verkhneussuriysky biogeocenotic station, where 346 temporary sample plots were established. For analysis, 127 plots of the K4 forest type (multi-shrub Korean pine forest with yellow birch) were selected, including 69 old-growth and 58 post-logging sites. Tree diameter, height, basal area, and stem volume were measured. Calculations were performed in Python using nonparametric statistical methods. Results. The obtained results show that even after 60–70 years, post-logging forests still differ significantly from old-growth stands: they have lower timber stock, smaller average diameters, and lack large trees. Fast-growing pioneer deciduous species predominate, while the proportion of Korean pine is significantly reduced. Conclusion. The restoration of the original structure of Korean pine-broadleaf forests is extremely slow and remains incomplete even decades after logging. This highlights the need to reconsider forestry practices aimed at conserving and restoring these ecosystems.

Keywords: Korean pine-broadleaf forests, single logging, stand recovery, southern Sikhote-Alin, species composition

Forest ecosystems play a key role in the sustainability of landscapes, biodiversity conservation, and the provision of natural resources to humans. Therefore, in the setting of large-scale anthropogenic transformation caused by intensive logging and fires, the issues of rational forest management remain particularly relevant, including in the Far Eastern region of Russia (Danilin, 2004; Kovalev, 2004). Korean pine–broadleaf forests are one of the most vulnerable and at the same time valuable forest formations. Apart from high species diversity, these forests serve as a key element of ecosystem stability, creating a food base for game animals, including ungulates, whose abundance directly affects the population of the Amur tiger, the rarest endangered predator (Kurentsova, 1968).

Korean pine-broadleaf forests with Pinus koraiensis Siebold et Zucc. have a complex age structure and mosaic distribution of dominants (Kolesnikov, 1956). However, due to historically high demand for forest resources, especially during the period of massive logging in the mid-20th century, significant areas of primary cedar forests were transformed into secondary forests (Solov’ev, 1948; Rozenberg, 1975). Despite attempts to regulate economic activity, industrial logging in the 20th century led to habitat degradation, a decreased stand density, and a reduced proportion of Pinus koraiensis (Gukov, 1989).

Recovery after such logging is lengthy and ambiguous, as shown by classic (Solov’ev, 1948) and modern studies (Komarova et al., 2022). The initial stages of reforestation are usually characterised by the predominance of fast-growing deciduous species, first of all Betula costata Trautv. and Populus tremula L., while the participation of coniferous species, especially Pinus koraiensis, remains low. The natural recovery of Pinus koraiensis is complicated by a number of factors: low seed productivity, irregular fruiting, and eating of seeds by rodents (Usenko, 1984; Kudinov, 2007). Without special silvicultural measures, a return to the original structure of the Korean pine-broadleaf forest in the foreseeable future seems unlikely (Lebedev, 2003).

Against this background, the importance of assessing the state of stands after single industrial logging performed more than half a century ago is increasing. Such plots, in the absence of fires and other disturbances, provide a unique opportunity to trace long-term succession processes and assess the potential for natural restoration of primary forests. It is especially important to compare them with preserved old-growth stands that have not been subjected to human disturbance (Gromtsev, 1999). At the same time, it is extremely difficult to find such plots, since most of the area of the Primorsky Krai forest fund has been logged more than four to five times over the past 70–80 years (Kovalev, Kachanova 2023), which alters the reforestation processes significantly.

Despite this, the territory of the Verkhneussuriysky biogeocenotic station is a unique scientific test site in the southern part of Sikhote-Alin, where areas of primary Korean pine-broadleaf and spruce-broadleaf forests can be found, as well as areas that were subjected to single logging in the 1960s (Arkhiv DVO RAN, otchety VUS 1964–1965 gg.; Sibirina et al., 2022). This makes it possible to assess the structure of stands, the participation of dominant species, the presence of undergrowth and the features of the species composition at different stages of restoration in comparable conditions. The aim of the study is to assess the success of stand restoration in areas subjected to single logging in the late 1960s.

MATERIALS AND METHODS

Research area. The Verkhneussuriysky station of the Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch of the Russian Academy of Sciences, is located in the basin of the Pravaya Sokolovka River (Primorsky Krai, 44°02’N, 134°12’E, Fig. 1). The station includes mountainous areas at altitudes from 460 to 1,060 m above sea level and is characterised by high forest cover, mosaic relief and a variety of phytocenoses. The predominant types of forest vegetation are Korean pine-broadleaf, mixed broadleaf and spruce-fir forests (Yakovleva, 2004). The climate is moderately monsoon, with annual precipitation of about 830 mm and a pronounced summer maximum. The average annual air temperature is 0.9 °C (Kozhevnikova, 2009). The duration of the vegetation period is 120–140 days.

Figure 1. Research area: a—location of the Verkhneussuriysky station (VUS) of the Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch of the Russian Academy of Sciences, within Sikhote-Alin, b—layout of the station territory and the location of the test site

Logging in the region and on the territory of the station. Intensive timber harvesting has been carried out in most of the Primorsky Krai since the middle of the 20th century, including the mass development of hard-to-reach mountain forests in the 1950–1970s. Large-scale logging in the Verkhneussuriysky station were carried out mainly in the 1960s. To analyse forest recovery after logging in forests with a predominance of Pinus koraiensis, the sites that in 1965–1969 underwent selective single-tree logging aimed at harvesting the best stems of Pinus koraiensis, as well as areas of continuous logging in dark coniferous forests with a predominance of Picea ajanensis Fisch. ex Carrière, were identified. At the same time, in the remote and hard-to-reach parts of the station, there are still areas of stands that have not been cut down or burned. They were used as reference plots.

Data collection. A test site with an area of 400 ha (2.5 × 1.6 km in size) covering a mosaic of forests of various types was established on the territory of the station. Using algorithmic clustering of remote sensing data, the test site was divided into 346 elementary sections with an area of about 1 hectare each. A circular temporary sample plot with a radius of 11.3 m (an area of 0.04 ha) was established on each of them.

A comprehensive description of the stand was carried out within the temporary sample plot. The species, state (alive: normal or defective; dead: deadwood), and diameter at breast height (DBH) were determined for all trees. For some of the trees, the height was measured as well. Subsequently, the stem volume of each individual tree was calculated based on the combination of diameter and height values using standard tables of stem volumes.

During the work on the sample plots, a search was carried out for evidence of logging (stumps, traces of roads or skidding tracks, etc.). According to their presence or absence, all plots were divided into two categories: 1) old-growth plots, with no evidence of logging or fires, 2) post-logging plots, logged in the 1960s. According to the forest inventory data, which was carried out on the territory of the station according to the first class, the plots were classified as different types of forest. The K4 forest type (multi-shrub Korean pine forest with Betula costata Trautv.) was selected for statistical analysis, since, on the one hand, it turned out to be the most widespread (127 out of 346 plots), and, on the other hand, there were a comparable number of both old-growth and post-logging plots for this type (69 and 58, respectively).

Statistical analysis. The analysis was carried out on two levels: 1) general characteristics of the stand by plot category (old-growth and post-logging), 2) comparison of indicators for individual tree species. The present study focused on analysing the structure of the stand, since its characteristics are the most representative for assessing differences between plot categories; therefore, no analysis of undergrowth was carried out. Also, given the small size of the temporary sample plots (0.04 ha), which limits the completeness of the assessment of the structure and species composition in the setting of a high species diversity typical of Korean pine-broadleaf forests, all temporary sample plots within each category (old-growth / post-logging) were aggregated to analyse the characteristics of stands. The total area within the first category was 2.76 ha, and that within the second one was 2.32 ha.

At the first stage, a list of tree species found in old-growth and post-logging plots was compiled for subsequent comparison. Then, separately for each category of plots, the following indicators were calculated: number of trees, total basal area (BA), stock of the stand, average and median values of the diameter, height, and volume of the stem. All values were normalised to 1 ha. Distributions of characteristics were evaluated using histograms and cumulative distribution functions (CDFs). To statistically verify the differences between the groups, nonparametric methods were used: the Mann–Whitney test was used to compare median values, and the Kolmogorov–Smirnov test was used to analyse differences in the shape of distributions.

Additionally, analysis at the level of individual species was carried out. For all species represented by ≥10 live trees in each category, the diameter and volume of the stem were compared using the Mann–Whitney test. The structure of the timber stock by species was analysed based on the proportion of each species in the total stock per 1 ha; the χ² test was used to assess the differences between the categories of the plots.

The initial data were processed in Excel. The forest type map was compiled based on the digital forest management database, and spatial analysis was performed in QGIS. All further calculations and visualisation were performed in Python using the following libraries: pandas (McKinney, 2010), numpy (Harris et al., 2020), scipy (Virtanen et al., 2020), matplotlib (Hunter, 2007), and seaborn (Waskom, 2021).

RESULTS AND DISCUSSION

Species composition. 19 species of trees were identified in the old-growth plots. The most numerous species in terms of the number of stems were Abies nephrolepis (Trautv.) Maxim., Picea ajanensis Fisch. ex Carrière, Tilia amurensis Rupr., Pinus koraiensis Sieb. et Zucc., Betula costata Trautv., Acer ukurunduense Trautv. et C.A. Mey., and Acer mono Maxim. ex Rupr. Quercus mongolica Fisch. ex Ledeb., Ulmus laciniata (Trautv.) Mayr, Populus maximowiczii A. Henry, Phellodendron amurense Rupr., Acer tegmentosum Maxim. et Rupr., and Cerasus maximowiczii (Rupr.) Kom. were also present. There were sporadic finds of Betula platyphylla Sukaczev, Picea koraiensis Nakai, Sorbus amurensis Koehne, Syringa amurensis Rupr., Padus maackii (Rupr.) Kom., and Fraxinus mandshurica Rupr.

25 tree species were found in the post-logging plots. The species composition generally overlaps with that typical of old-growth plots, but there is also a number of pioneer or light-loving species. In addition to the dominant species common to both categories, a significant share of the post-logging stands is formed by Betula platyphylla Sukaczev, Populus maximowiczii A. Henry and Populus tremula L., Salix cardiophylla Trautv. et C.A. Mey, Alnus hirsuta (Spach) Turcz. ex Rupr., Phellodendron amurense Rupr., Salix caprea L., Salix rorida Laksch., and Rhamnus davurica Pall. Interestingly, Taxus cuspidata Sieb. et Zucc. was found only in the post-logging plots. This is, on the one hand, due to its rarity, and, on the other hand, due to a more successful restoration after logging. Some species that are common in old-growth stands, are almost entirely absent in post-logging forests, of particular note is Pinus koraiensis. This indicates a loss of the stable structure of the original community and its partial replacement by temporary successional elements.

General characteristics. A total of 2,534 trees were recorded in the old-growth plots, and 2,037 in the post-logging plots. The density of the stand (table), calculated per 1 ha, is slightly higher in the old-growth plots than in the post-logging ones. The total basal area of stems per hectare is also higher in the old-growth plots. The average height of the trees is practically the same, but the standard deviation is higher in the old-growth plots, which indicates a greater vertical heterogeneity. The average tree diameter is 20.6 cm (SD = 15.1 cm) for the old-growth plots and 19.3 cm (SD = 13.4 cm) for the post-logging ones. The average volume of a single stem is higher in the old-growth plots (0.54 m³ versus 0.43 m³), with a higher dispersion (SD = 0.99 m³ versus 0.82 m³). Of particular note are the differences in the timber stock, which amount to 116 m³ * ha^-1 (or 106 m³ * ha^-1, if only live trees are taken into account). Therefore, an old-growth stand is characterised by both higher productivity and a greater heterogeneity of the stand structure in most indicators.

Table. Characteristics of the stand of the old-growth and post-logging plots

Notes: BA, total basal area; SD, standard deviation.

The obtained medians of diameter at breast height (DBH), stem volume, and height turned out to be almost the same for the old-growth and post-logging plots. This similarity of the median values indicates that a ‘typical’ tree in a post-logging stand is almost the same in size as a tree in an old-growth one. However, the proportion of large trees in the old-growth stands is significantly higher, which is reflected in wider interquartile ranges. Thus, the medians do not reveal differences due to the presence of large specimens, but they reflect well the similarity of the dominant classes of stems in both plot categories.

Distribution of stem diameters and volumes. The results of the analysis of the stem diameter and volume distribution are shown as histograms (Fig. 2, 3). In the old-growth stand, the distribution of tree diameter is wider and more uniform: all thickness levels are represented, including large-sized trees with a diameter of more than 40 cm. The post-logging stand is dominated by trees with a diameter of up to 20 cm; larger trees are rare. A similar pattern is observed in the distribution by stem volume: in the old-growth stand, trees with a volume of up to 2–3 m³ and more are found, whereas in the post-logging plots, specimens with a volume of less than 0.5 m³ dominate. The contribution of trees with large stem volumes to the post-logging stand is minimal.

Differences in the shape of distributions highlight the key difference between the two categories of stands. The old-growth plots have a more complex structure with pronounced size and age differentiation, whereas post-logging plots remain relatively homogeneous in composition and structure.

Figure 2. Distribution of trees by diameter (DBH). A, old-growth stand; B, post-logging stand

Figure 3. Distribution of trees by stock (the y-axis is logarithmic). A, old-growth stand; B, post-logging stand

Comparison of the distributions of the main indicators of trees. The results of the nonparametric Kolmogorov–Smirnov test (Fig. 4) demonstrate statistically significant differences in the distributions of all the studied indicators between the old-growth and post-logging plots. The greatest difference was found for tree height (KS = 0.057, p = 0.0012), which indicates the heterogeneity of the vertical structure. Significant differences were also found in the diameter (KS = 0.043, p = 0.0285), total basal area of the stems (KS = 0.043, p = 0.0285), and the stem volume (KS = 0.047, p = 0.0124). This confirms that even 60–70 years after disturbances, the post-logging stand still has a simplified structure and does not reach the spatial and dimensional complexity typical of an old-growth stand.

Figure 4. Distribution functions (CDFs) of the main indicators of trees. 1, diameter at breast height (DBH), cm; 2, total basal area, m²; 3, tree height, m; 4, stem volume, m³. A, old-growth stand; B, post-logging stand

Characteristics of individual species. Figure 5 illustrates the differences in diameter at breast height and stem volume among tree species in the old-growth and post-logging plots. Picea koraiensis and Taxus cuspidata were excluded from the analysis, as there are too few individuals of these species to calculate the average values and their variations. The average values of stem diameter and timber volume per stem vary significantly between tree species, as well as between the old-growth and post-logging plots. The largest stem sizes are typical of Pinus koraiensis and Picea ajanensis: In Pinus koraiensis, the average diameter in the old-growth plots is 40.9 cm, and in the post-logging plots it is 24.5 cm, which is 40% less. A similar trend is observed for the stem volume: 2.42 m³ versus 1.09 m³, respectively; the difference is 55%. In Picea ajanensis, the average diameter decreases from 26.2 to 21.7 cm (−17%), and the volume decreases from 0.69 to 0.46 m³ (−33%).

Similar diameter values were found for Tilia amurensis and Quercus mongolica in both categories of stands. So, for example, Tilia amurensis has an average diameter of 23.2 cm in the old-growth forests and 22.5 cm in the post-logging forests, and a volume of 0.55 and 0.47 m³, respectively. In Betula costata, on the contrary, there is a sharp decrease from 42.0 to 22.0 cm in diameter (­−48%) and from 1.66 to 0.48 m³ in volume (−71%).

In many instances, standard deviations are also higher in the old-growth forests, which indicates a greater heterogeneity and age mosaic pattern of the stand. For some species, data are available only for one of the categories, which is due to their absence or sporadic representation in the other. This applies, in particular, to Phellodendron amurense, Ulmus laciniata, and Salix caprea, which are found exclusively in the post-logging plots.

Figure 5. Average values of diameter (DBH) (1) and stem volume (2) of trees of various species in the old-growth (A) and post-logging (B) stands (± SD)

The nonparametric Mann–Whitney test was used to assess differences in the morphometric indicators of trees (DBH and stem volume) between old-growth and post-logging plots. The analysis included only those species for which there were at least 10 living trees in each category (11 species in total).

Comparison of median values of diameter at breast height showed statistically significant differences for all five most widespread species: Betula costata, Pinus koraiensis, Tilia amurensis, Acer mono, and Picea ajanensis (p < 0.01 in all cases). In the first four species, the diameter of trees was significantly higher in the old-growth plots, while the opposite trend was observed for Picea ajanensis, i.e., larger trees were found in the post-logging plots. A similar pattern was found for the stem volume: in Betula costata and Pinus koraiensis, the median volume in the old-growth plots was several times higher than in the post-logging plots. Thus, the structure of the stand varies significantly between categories in a number of key species.

Characteristics of stock accumulation in the old-growth and disturbed forests. Figure 6 illustrates the distribution of live timber stock between species in the old-growth and post-logging plots. Pinus koraiensis dominates in the old-growth plots, accounting for 32.0% of the total timber stock (146.6 m³ * ha^-1). Its contribution to the stock of the post-logging plots is more than ninefold lower, 4.7% (16.6 m³ * ha^-1), which indicates weak recovery dynamics of this species after disturbances. Picea ajanensis and Betula costata, on the contrary, show high stock values in the categories: their total contribution is 29.1% in the old-growth plots and 42.7% in the post-logging ones, reflecting their resistance to disturbance and their ability to form both stable and secondary communities.

In the post-logging stands, the proportion of pioneer species is noticeably higher, namely Populus maximowiczii (5.3% of the stock), Populus tremula (2.6%), Padus maackii (0.8%), Alnus hirsuta (0.8%), and Betula platyphylla (2.0%). They hardly participate in the formation of the stock in the old-growth stands. These species, along with the other small-leaved and light-loving species, form the typical structure of the early succession. Thus, as a result of logging, there is a shift towards fast-growing species, and the participation of Pinus koraiensis and other late-successional species is significantly reduced.

To assess differences in the structure of timber stock between the old-growth and post-logging plots, a χ² test was conducted based on the proportions of tree species in the total stock per 1 ha. For each species, its contribution to the total stock within each plot category was calculated.

The test results showed that the distribution of stocks by species between the two categories significantly differs (χ² = 150.66; p < 0.0001). This confirms the conclusion that the contribution of individual species to the total stock varies both in size and composition. In general, the structure of dominance in the post-logging stands is formed by faster and more adaptive species, while the participation of primary species is significantly reduced.

Figure 6. Timber stock per 1 ha by species in the old-growth (A) and post-logging (B) stands

State of the stand 60–70 years after logging and the possibility of restoring its original state. The restoration of Korean pine-broadleaf forests after industrial logging is a complex and slow process depending on many biotic and abiotic factors, which is demonstrated in a number of studies, including the review by Manko et al. (2009) and analytical data by Kovalev and Kachanova (2023) indicating the duration and ambiguousness of restoration even after single logging. State assessment of the post-logging stands 60–70 years after single logging makes it possible to assess the direction and degree of successional changes. In our study based on data collected under comparable conditions in the southern Sikhote-Alin, stands that were subjected to logging in the 1960s were compared with old-growth undisturbed stands. This makes it possible to assess the degree of convergence of the forest structure after logging with the initial one and to identify signs indicating a continuing transformation. It should be noted that in the case under consideration, logging was selective: only Pinus koraiensis and Picea ajanensis were harvested, single large-sized trees being removed, and disturbance to stand structure was minimal.

Assessment of such indicators as the average diameter, height, total basal area and the stock revealed typical differences between the post-logging and old-growth stands. The post-logging plots are dominated by trees with a smaller diameter: the average diameter (19.3 cm versus 20.6 cm) and, especially, the stock per 1 ha (380 m³ * ha^-1 versus 496 m³ * ha^-1) are lower as compared to undisturbed plots. Histograms of the stem diameter and volume distribution show the absence of large trees in the post-logging stands, whereas in the old-growth stands all classes are represented, including individual trees with stem volumes of up to 10–14 m³. These differences are statistically significant, which is confirmed by the results of the Kolmogorov–Smirnov test.

A similar situation has been described in studies of dark coniferous forests after continuous logging. For example, according to Likhanova et al. (2021), in blueberry spruce forests of the middle taiga, no more than 50–60% of the original composition and structure is restored 50 years after logging. At the same time, the authors emphasise that even after 60 years, the structure of phytocenoses remains significantly different from the primary one, and the restoration of a full-sized stand requires a much longer time.

 The picture obtained in this study is fully consistent with these conclusions: the time interval of 60–70 years after single logging is insufficient to restore the original size composition of Korean pine-broadleaf forests.

Significant differences between the post-logging and old-growth plots were also identified in the species composition of stands. In the plots that have not been logged, Pinus koraiensis remains the main forest-forming species, making the greatest contribution to the total stand timber stock. At the same time, the proportion of the Korean pine in the post-logging plots is drastically reduced, and fast-growing deciduous species, namely birch, poplars, bird cherry, and alder, are predominant.

Similar patterns are described in a study by Kovalev et al. (2021), which highlights that after logging, the Korean pine does not regain a leading position in the stand for a long time, yielding to fast-growing deciduous species, and even in the presence of undergrowth, the rate of Korean pine regeneration is insufficient for substantial participation in stand formation. In a more recent work by Kovalev and Kachanova (2023), it is shown that the restoration of the original structure of Korean pine forests after logging can take more than 150 years, and without active measures to promote Korean pine regeneration, its participation in stands remains marginal. The authors emphasise that under current conditions of economic use, such timescales are as good as unattainable. Similar conclusions were drawn in the studies by A. I. Kudinov (2012, 2014) based on 40 years of monitoring of the post-logging plots in the southern Primorye: despite the preservation of individual coniferous elements in the undergrowth, the stands are dominated by deciduous species. The author assumes that even with the presence of Korean pine undergrowth and the potential for its participation in the formation of a stand, the community structure remains stable and focused on the predominance of deciduous species. The change of dominance of deciduous species to Pinus koraiensis occurs within 120–160 years after logging and only if there is an already existing undergrowth in the amount of 400–500 specimens * ha^-1. The work of S. G. Glushko et al. (2022) considering successional dynamics of fir-spruce forests demonstrates that the restoration of the original structure occurs unevenly and with high spatial mosaicism, especially in the absence of targeted forestry practices.

Regional surveys (Manko et al., 2009; Manko and Petropavlovskii, 2010) confirm that the transformation of Korean pine forests into secondary forests after economic intervention is ubiquitous, and the restoration of original structure of forests can take centuries. Emerging communities show stable dynamics, often with a shift towards alternative forest types, i.e. oak forests, spruce forests, maple-linden and mixed deciduous stands. These changes are followed by a decrease in productivity, biological diversity, and protective functions.

Similar results were obtained for the dark coniferous forests of the European Russia. According to I. A. Likhanova et al. (2021), even 50–60 years after continuous logging, the restoration of the original structure is incomplete; succession often ends with the formation of stable secondary communities with a different dominant composition. A similar situation is observed in the temperate forests of Scandinavia: Asplund et al. (2020) showed that secondary forests retain differences in species composition, vertical structure, and undergrowth composition even half a century after logging. The authors emphasise the sustainability of the so-called ‘legacy of forest management’, which forms a long-term structure of the forest community which is however different from the original structure; either targeted intervention or a long time is required for the restoration. This phenomenon is less pronounced in the Korean pine-broadleaf forests in the south of the Russian Far East, but the recovery time significantly exceeds the logging period (Kovalev and Kachanova, 2023).

Taking together, the literature data (Kudinov, 2012; Kudinov, 2014; Kovalev et al., 2021, 2023; Manko et al., 2009) and the results obtained in this study allows us to conclude that even after a single and long-ago intervention, the restoration of the original structure of Korean pine-broadleaf forests is extremely slow and remains incomplete even 60–70 years later. The post-logging stands differ significantly from the old-growth stands in terms of timber stock, size structure, and dominant species. They lack large trees; light-loving deciduous species predominate, and the participation of Pinus koraiensis is minimal.

Such communities represent a transitional successional stage, where the pioneer species still retain a dominant position, while the late successional Pinus koraiensis, Picea ajanensis, and Betula costata Trautv. are beginning to build up stock. This indicates the slow response of disturbed Korean pine-broadleaf forests and the long-term consequences of even mild impacts, highlighting the need to revisit approaches to their protection, restoration and forest management.

CONCLUSION

The present study showed that 60–70 years after single selective logging, the structure and composition of stands remain significantly different from old-growth Korean pine-broadleaf forests. The post-logging stands are characterised by a lower timber stock, significant participation of pioneer deciduous species and the absence of large trees, which indicates the incompleteness of restoration processes. Although Pinus koraiensis remains in the composition, it still does not regain its dominant position: its proportion in the structure and growth rates remain insufficient to compete with fast-growing deciduous species.

Thus, the restoration of the original structure of Korean pine-broadleaf forests is a slow and unstable process that is influenced by many factors and requires a long time. Even with minimal intervention, a return to the original state can take more than 100 years and, as a rule, does not occur within a single logging period without active assistance in terms of forest management.

 ACKNOWLEDGEMENT

The research was carried out within the state assignment of Ministry of Science and Higher Education of the Russian Federation (theme No. 124012400285-7).

REFERENCES

Arkhiv DVO RAN, otchety VUS 1964–1965 gg.

Asplund J., Nordén J., Kjønaas O. J., Madsen R. L., Lunde L. F., Birkemoe T., … & Nybakken L., Long term effects of forest management on forest structure and dead wood in mature boreal forests, Forest Ecology and Management, 2024, Vol. 572, Article 122315, DOI: 10.1016/j.foreco.2024.122315

Danilin A. K., Chumin V. T., Lesa i lesnoe khozyaistvo Khabarovskogo kraya (Forests and forestry of Khabarovsk Krai), Khabarovsk: Knizhnoye Izdatelstvo, 2000, 416 p.

Glushkov S. G., Komarova T. A., Prokhorenko N. B., Formirovanie molodnyakov posle rubok i pozharov v temnokhvoinykh osokovo-paporotnikovykh lesakh Yuzhnogo Sikhote-Alinya (Formation of young stands after logging and fires in dark coniferous sedge-fern forests of southern Sikhote-Alin), Lesovedenie, 2022, No. 2, pp. 144–156.

Gromtsev A. N., Landshaftnaya ekologiya taezhnykh lesov: teoreticheskie i prikladnye aspekty (Landscape ecology of taiga forests: theoretical and applied aspects), Petrozavodsk: Karelskii nauchnyi tsentr RAN, 1999, 144 p.

Gukov G. V., Lesovodstvo Dal’nego Vostoka (Forestry of the Russian Far East), Vladivostok: Izd-vo Dal’nevost. un-ta, 1989, 215 p.

Harris C. R., Millman K. J., van der Walt S. J., Gommers R., Virtanen P., Cournapeau D., … & Oliphant T. E., Array programming with NumPy, Nature, 2020, Vol. 585, pp. 357–362.

Hunter J. D., Matplotlib: A 2D graphics environment, Computing in Science & Engineering, 2007, Vol. 9, No. 3, pp. 90–95.

Kolesnikov B. P., Kedrovye lesa Dal’nego Vostoka (Korean pine forests of the Russian Far East), Trudy Dal’nevostochnogo filiala im. V.L. Komarova. Seriya botaniki AN SSSR, 1956, Vol. 2(4), 262 p.

Komarova T. A., Prokhorenko N. B., Glushko S. G., Terekhina N. V., Lesovosstanovitel’nye sukkessii posle rubok glavnogo pol’zovaniya v kedrovo-pikhtovo-elovykh shirokotravno-osokovo-paporotnikovykh lesakh Yuzhnogo Sykhote-Alinya (Post-logging succession in Korean pine-fir-spruce herb-sedge-fern forests of southern Sikhote-Alin), Botanicheskii zhurnal, 2022, Vol. 107, No. 10, pp. 939–953.

Kovalev A. P., Ekologo-lesovodstvennye osnovy rubok v lesakh Dal’nego Vostoka (Ecological and silvicultural principles of harvesting in Far Eastern forests), Khabarovsk: DalNIILKh, 2004, 267 p.

Kovalev A. P., Kachanova T. G., O budushchem kedrovo-shirokolistvennykh lesov Dal’nego Vostoka (On the future of Korean pine-broadleaf forests in the Russian Far East), Lesnoe khozyaistvo i lesnaya promyshlennost’, 2023, No. 1, pp. 10–12.

Kozhevnikova N. K., Dinamika pogodno-klimaticheskikh kharakteristik i ekologicheskie funktsii malogo lesnogo basseina (Weather-climatic dynamics and ecological functions of a small forest basin), Sibirskii ekologicheskii zhurnal, 2009, No. 5, pp. 693–703.

Kudinov A. I., Shirokolistvenno-kedrovye lesa Yuzhnogo Primorya i ikh dinamika (Broadleaf-Korean pine forests of southern Primorye and their dynamics), Extended abstract of Doctors’s thesis in biology, Vladivostok, 2007, 24 p.

Kudinov A. I., Dinamika proizvodnykh fitocenozov na yuge Primorskogo kraya (Dynamics of derivative phytocenoses in the south of Primorsky Krai. Vladivostok: Dal’nauka, 2012. 140 p.

Kudinov A. I., Poslerubochnaya dinamika khvoyno-shirokolistvennykh lesov yuzhnogo Primorya (Post-logging dynamics of coniferous-broadleaf forests of southern Primorye) Lesovedenie, 2014, No. 3, pp. 39–48.

Kurentsova G. E., Dinamika kedrovykh lesov Primorya (Dynamics of Korean pine forests in Primorye), Vladivostok: DVO AN SSSR, 1968, 132 p.

Lebedev A. A., Lesovodstvennye meropriyatiya v kedrovnikakh (Silvicultural measures in Korean pine forests), Saint-Petersburg: Lan’, 2003, 208 p.

Likhanova I. A., Perminova E. M., Shushpannikova G. S., Zheleznova G. V., Pystina T. N., Holopov Yu. V., Dinamika rastitel’nosti posle sploshnolesosechnykh rubok el’nikov chernichnykh (srednetaezhnaya podzona Evropeiskogo severo-vostoka Rossii) (Vegetation dynamics after clearcuts in bilberry spruce forests of the middle taiga subzone of northeastern Europe), Rastitel’nost’ Rossii, 2021, No 40, pp. 108–136, DOI: 10.31111/vegrus/2021.40.108

Manko Yu. I., Kudinov A. I., Gladkova G. A., Butovets G. N., Grabovyi shirokolistvenno-elovo-kedrovyi les za period 1926–2003 gg. (Ussuriiskii zapovednik, Yuzhnoe Primorye) (Hornbeam broadleaf-spruce-Korean pine forest from 1926 to 2003 in the Ussuri Reserve, southern Primorye), Sibirskii ekologicheskii zhurnal, 2009, No. 6, pp. 917–926.

Manko Yu. I., Petropavlovskii B. S., Puti optimizatsii okhrany i ispol’zovaniya lesov Primorskogo kraya v sovremennykh usloviyakh (Ways to optimize the protection and use of forests in Primorsky Krai under current conditions), In: Problemy lesovedeniya i lesovodstva: materialy Vseross. konf. “Melekhovskie chteniya”, Arkhangelsk, 2010, pp. 175–178.

McKinney W., Data Structures for Statistical Computing in Python, In: Proceedings of the 9th Python in Science Conference, 2010, pp. 51–56.

Rozenberg V. A., Klassifikatsiya rubok v kedrovnikakh (Classification of cuttings in Korean pine stands), Lesnoe khozyaistvo, 1975, No. 4, pp. 34–38.

Sibirina L. A., Gladkova G. A., Omelko A. M., Barkalov V. Yu., Verkhneussuriiskii biogeotsenoticheskii stantsionar Federal’nogo nauchnogo tsentra bio-raznoobraziya nazemnoi bioty Vostochnoi Azii DVO RAN (Verkhneussuriysky biogeocenotic station of the Federal Scientific Center of Terrestrial Biodiversity of East Asia, FEB RAS), Vestnik DVO RAN, 2022, No. 4, pp. 84–100, DOI: 10.37102/0869-7698_2022_224_04_8

Solov’ev K. P., Nekotorye faktory, vliyayushchie na vozobnovlenie kedra pod pologom lesa i na lesosekakh posle vybirochnykh i sploshnykh rubok (Some factors influencing Korean pine regeneration under forest canopy and on clearcuts after selective and clear cutting), Sbornik trudov DalNIILKh, 1948, Issue 1, pp. 58–107.

Usenko N. V., Derev’ya, kustarniki i liany Dal’nego Vostoka (Trees, shrubs, and lianas of the Russian Far East), 2nd ed., revised and expanded, Khabarovsk, 1984, 272 p.

Virtanen P., Gommers R., Oliphant T. E., Haberland M., Reddy T., Cournapeau D., … & Van Mulbregt P., SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python, Nature Methods, 2020, Vol. 17, pp. 261–272.

Waskom M. L., Seaborn: statistical data visualization, Journal of Open Source Software, 2021, Vol. 6, No. 60, Article 3021, DOI: 10.21105/joss.03021

Yakovleva A. N., Ekologo-fitotsenoticheskie osobennosti prostranstvennogo raspredeleniya lesnoi rastitel’nosti Yuzhnogo Sikhote-Alinya na primere Verkhneussuriiskogo stantsionara (Ecological and phytocenotic features of the spatial distribution of forest vegetation in the southern Sikhote-Alin (on the example of the Verkhneussuriysky Research Station)), Extended abstract of candidate’s thesis in biology, Vladivostok: Institute of Biology and Soil Science, 2004, 24 p.

Reviewer: Candidate of Biological Sciences, leading research fellow V. N. Korotkov

]]> https://jfsi.ru/en/9-1-2026-ryabovisaeva/ Thu, 23 Apr 2026 07:04:20 +0000 https://jfsi.ru/?p=8114

N. S. Ryabov*, L. G. Isaeva

Institute of North Industrial Ecology Problems of the KSC RAS

Russia, 184209, Apatity, Akademgorodok, 14A

*E-mail: n.ryabov@ksc.ru

Received: 04.02.2026

Revised: 16.03.2026

Accepted: 20.03.2026

This study presents a comparative analysis of the effectiveness of various regression models for estimating forest stand phytomass stocks in spruce forests developed on Al-Fe-humic podzols at the northern tree line in the Murmansk region. Research was conducted on sample plots established across diverse landscape positions, including automorphic, transitional, and accumulative sites. The relevance of this work stems from the critical need for reliable data on phytomass stocks, as phytomass represents a key carbon reservoir within taiga phytocoenoses. Given the region’s heterogeneous and rugged terrain, accounting for topographic factors is essential to minimize errors in phytomass pool estimations. A comparison of four models revealed that the model developed by J. Repola et al. is the most applicable for assessing forest stand phytomass. Leveraging a large dataset from similar environmental conditions, this model demonstrates high predictability across all types of elementary landscapes and currently offers an optimal compromise for regional phytomass assessments, despite identified limitations in analyzing the internal fractional structure of phytomass. Conversely, the regional model is restricted to aboveground phytomass and is suitable primarily for automorphic conditions. Findings indicate that while V. A. Usoltsev’s model is appropriate for estimating spruce phytomass, it systematically underestimates birch stocks – a key associated species in northern taiga spruce forests. Furthermore, the model proposed in the guidelines of the Ministry of Natural Resources of the Russian Federation proved ineffective for evidence-based monitoring due to significant overestimations of birch phytomass. The lack of reliable allometric equations for belowground phytomass (roots) remains a substantial knowledge gap, alongside uncertainties in estimating the fractional structure of tree phytomass stocks. These results underscore the necessity of gathering experimental data to refine regional models and integrate landscape positions. Such refinements will facilitate the minimization of errors in remote sensing calibration and enhance the accuracy of quantifying the role of Murmansk region forests in the global carbon cycle.

Кeywords: stand biomass, stand biomass models, spruce forests, northern taiga forests, Murmansk region, Arctic

REFERENCES

Alekseev V. A., Rak L. D., Priznaki oslableniya elei pod vliyaniem atmosfernogo zagryazneniya (Signs of spruce weakening under the influence of atmospheric pollution), Lesovedenie, 1985, No 5, pp. 37–43.

Alisov B. P., Klimat SSSR (Climate of the USSR), Moscow: MGU, 1956, 125 p.

Atlas Murmanskoi oblasti (Atlas of the Murmansk region), Moscow, 1971, 33 p.

Beck H. E., McVicar T. R., Vergopolan N., Berg A., Lutsko N. J., Dufour A., Zeng Z., Jiang X., Dijk A. I. J. M., Miralles D. G., High-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections, Scientific Data, 2023, Vol. 10, No 724, DOI: 10.1038/s41597-023-02549-6

Bobkova K. S., Kuznetsov M. A., Manov A. V., Galenko E. P., Tuzhilkina V. V., Fitomassa drevostoev el’nikov chernichno-sfagnovykh na bolotno-podzolistych pochvakh Evropeiskogo Severo-Vostoka (Phytomass of spruce forest stands of bilberry-sphagnum type on bog-podzolic soils of the European North-East), Izvestiya VUZov. Lesnoi zhurnal, 2010, No 1, pp. 19–26.

Bonan G. B., Forests and climate change: forcings, feedbacks, and the climate benefits of forests, Science, 2008, Vol. 320, pp. 1444–1449, DOI: 10.1126/science.1155121

Chepurko N. L., Biologicheskaya produktivnost’ i krugovorot khimicheskikh elementov v lesnykh i tundrovykh soobshchestvakh Khibinskikh gor (Biological productivity and cycle of chemical elements in forest and tundra communities of the Khibiny Mountains), In: Biologicheskaya produktivnost’ i krugovorot khimicheskikh elementov v rastitel’nykh soobshchestvakh (Biological productivity and cycle of chemical elements in plant communities), Leningrad: Nauka, 1971, pp. 213–219.

Chepurko N. L., Struktura i godovoi balans biomassy v lesakh Khibinskikh gor (Structure and annual biomass balance in the forests of the Khibiny Mountains), In: Pochvy i produktivnost’ rastitel’nykh soobshchestv (Soils and productivity of plant communities), Issue 1, Moscow: Izd-vo MGU, 1972, pp. 94–116.

Davidson S. J., Davies M. A., Wegener E., Claussen S., Schmidt M., Peacock M., Strack M., Carbon stocks and fluxes from a boreal conifer swamp: Filling a knowledge gap for understanding the boreal C cycle, Journal of Geophysical Research: Biogeosciences, 2024, Vol. 129, DOI: 10.1029/2024JG008005.

Ekologicheskij atlas Murmanskoj oblasti (Ecological atlas of the Murmansk region), Moscow; Apatity. IPPJeS KNC RAN; Geogr. f-t MGU; Gos. kom. po ohrane okruzhajushhej sredy Murmanskoj oblasti, 1999. 48 p.

Framstad E., de Wit H., Mäkipää R., Larjavaara M., Vesterdal L., Karltun E., Biodiversity, carbon storage and dynamics of old northern forests, Copenhagen: Nordic Council of Ministers, 2013, 130 p., DOI: 10.6027/TN2013-507

Friedlingstein P., O’Sullivan M., Jones M., Andrew R., Hauck J., Landschützer P., Zeng J., Global Carbon Budget 2024, Earth System Science Data, 2025, Vol. 17, pp. 965–1039, DOI: 10.5194/essd-17-965-2025.

Geobotanicheskoe raionirovanie nechernozem’ya Evropeiskoi chasti RSFSR (Geobotanical zoning of the non-chernozem region of the European part of the RSFSR), V. D. Aleksandrova (ed.), Leningrad: Nauka, 1989, 61 p.

Kazimirov N. I., Morozova R. M., Biologicheskii krugovorot veshchestv v el’nikakh Karelii (Biological cycle of substances in spruce forests of Karelia), Leningrad: Nauka, 1973, 175 p.

Ķeniņa L., Elferts D., Baders E., Jansons A., Carbon Pools in a Hemiboreal Over-Mature Norway Spruce Stands, Forests, 2018, Vol. 9, No 7, p. 435, DOI: 10.3390/f9070435

Kutyavin I. N., Sosnovye lesa Severnogo Priural’ya: stroenie, rost, produktivnost’ (Pine forests of the Northern Urals: structure, growth, productivity), K. S. Bobkova (ed.), Syktyvkar: IB Komi NTs UrO RAN, 2018, 176 p., DOI: 10.31140/book-2018-02

Kuznetsov M. A., Dinamika soderzhaniya organicheskogo ugleroda v zabolochennykh el’nikakh srednei taigi: Diss. cand. biol. nauk (Dynamics of organic carbon content in waterlogged spruce forests of the middle taiga. Candidate’s biol. sci. thesis), Syktyvkar, 2010, 141 p.

Lesnoi plan Murmanskoi oblasti. V 2-kh tomakh (Forest plan of the Murmansk region. In 2 volumes), Murmansk, 2019, 106 p.

Lesotaksatsionnyi spravochnik po Severo-Zapadu SSSR (Forest taxation handbook for the North-West of the USSR), Leningrad: LTA, 1984, 320 p.

Lukina N. V., Geras’kina A. P., Kuznetsova A. I., Smirnov V. E., Gornov A. V., … & Basova E. V., Funktsional’naya klassifikatsiya lesov: aktual’nost’ i podkhody k razrabotke (Functional classification of forests: relevance and development approaches), Lesovedenie, 2021, No 6, pp. 566–580, DOI: 10.31857/S0024114821060085

Lukina N. V., Nikonov V. V., Biogeokhimicheskie tsikly v lesakh Severa v usloviyakh aerotekhnogennogo zagryazneniya. V 2-kh ch. Ch. 1 (Biogeochemical cycles in the forests of the North under conditions of aerotechnogenic pollution. In 2 parts. Part 1), Apatity: izd-vo Kol’skogo nauchnogo tsentra RAN, 1996, 213 p.

Lukina N. V., Nikonov V. V., Izmenenie pervichnoi produktivnosti el’nikov pod vliyaniem tekhnogennogo zagryazneniya na Kol’skom poluostrove (Changes in the primary productivity of spruce forests under the influence of technogenic pollution on the Kola Peninsula), Lesovedenie, 1991, No 4, pp. 37–45.

Lukina N. V., Smirnov V. E., Teben’kova D. N., Danilova M. A., Tikhonova E. V., … & Ruchinskaya E. V., Rol’ starovozrastnykh lesov v akkumulyatsii i khranenii ugleroda (The role of old-growth forests in carbon accumulation and storage), Izvestiya Rossiiskoi akademii nauk. Seriya geograficheskaya, 2023, Vol. 87, No 4, pp. 536–557, DOI: 10.31857/S2587556623040064

Luyssaert S., Schulze E. D., Börner A., Knohl A., Hessenmöller D., Law B. E., Ciais P., Grace J., Old-growth forests as global carbon sinks, Nature, 2008, Vol. 455, pp. 213–215, DOI: 10.1038/nature07276

Mal’kova T. N., Peshev N. G. Lesnye resursy Kol’skogo Severa: e’kologo-e’konomicheskie aspekty lesopol’zovaniya (Forest resources of the Kola North: ecological and economic aspects of forest management), Apatity: Izd-vo KNC RAN, 1997. 84 p.

Manakov K. N., Nikonov V. V., Biologicheskii krugovorot mineral’nykh elementov i pochvoobrazovanie v el’nikakh Krainego Severa (Biological cycle of mineral elements and soil formation in spruce forests of the Far North), Leningrad: Nauka, 1981, 196 p.

Manakov K. N., Nikonov V. V., Pervichnaya biological produktivnost’ el’nikov Kol’skogo poluostrova (Primary biological productivity of spruce forests of the Kola Peninsula), Botanicheskii zhurnal, 1979, Vol. 64, No 2, pp. 232–241.

Merilä P., Lindroos A. J., Helmisaari H. S., Hilli S., Nieminen T. M., … & Ukonmaanaho L., Carbon Stocks and Transfers in Coniferous Boreal Forests Along a Latitudinal Gradient, Ecosystems, 2024, Vol. 27, pp. 151–167, DOI: 10.1007/s10021-023-00879-5

Metodika polevykh rabot po taksatsii lesa na postoyannykh probnykh ploshchadyakh v ramkakh realizatsii innovatsionnogo proekta gosudarstvennogo znacheniya «Uglerod v ekosistemakh: monitoring» (Methodology of field work on forest taxation on permanent sample plots within the framework of the innovative project of state importance «Carbon in ecosystems: monitoring»), Moscow: CEPF RAS, 2023, 32 p.

Mo L., Zohner C. M., Reich P. B., Liang J., de Miguel S., … & Ortiz-Malavasi E., Integrated global assessment of the natural forest carbon potential, Nature, 2023, Vol. 624, No 7990, pp. 92–101, DOI: 10.1038/s41586-023-06723-z

Nagimov Z. Ya., Artem’eva I. N., Shevelina I. V., Nagimov V. Z., Otsenka rangovogo polozheniya derev’ev v drevostoe pri issledovanii ikh fitomassy (Assessment of the rank position of trees in a forest stand during the study of their phytomass), Uspekhi sovremennogo estestvoznaniya, 2021, No 7, pp. 20–25, DOI: 10.17513/use.37657

Nikonov V. V., Lebedeva R. M., El’ i elovye lesa v tsentral’noi chasti Kol’skogo poluostrova (Spruce and spruce forests in the central part of the Kola Peninsula), In: Izuchenie rastitel’nykh resursov Murmanskoi oblasti (Study of plant resources of the Murmansk region), Apatity: Izd-vo Kol’skogo filiala AN SSSR, 1976, pp. 53–64.

Nunes L. J. R., Meireles C. I. R., Pinto Gomes C. J., Almeida Ribeiro N. M. C., Forest Contribution to Climate Change Mitigation: Management Oriented to Carbon Capture and Storage, Climate, 2020, Vol. 8, No 2, Article 21, DOI: 10.3390/cli8020021

Osipov A. F., Kutyavin I. N., Manov A. V., Kuznetsov M. A., Bobkova K. S., Zapasy i struktura fitomassy drevostoev severotaezhnykh sosnyakov Respubliki Komi (Reserves and structure of phytomass of forest stands of northern taiga pine forests of the Komi Republic), Izvestiya VUZov. Lesnoi zhurnal, 2022, No 4, pp. 25–38.

Osipov A. F., Tuzhilkina V. V., Dymov A. A., Bobkova K. S., Zapasy fitomassy i organicheskogo ugleroda srednetaezhnykh el’nikov pri vosstanovlenii posle sploshnolesosechnoi rubki (Stocks of phytomass and organic carbon of middle taiga spruce forests during recovery after clear-cutting), Izvestiya Rossiiskoi akademii nauk. Seriya biologicheskaya, 2019, No 2, pp. 215–224, DOI: 10.1134/S0002332919020103

Pan Y., Birdsey R. A., Phillips O. L., Houghton R., Fang J., … & Murdiyarso D., The enduring world Forest carbon sink, Nature, 2024, Vol. 631, pp. 536–569, DOI: 10.1038/s41586-024-07602-x

Pappas C., Maillet J., Rakowski S., Baltzer J. L., Barr A. G., … & Zha T., Aboveground tree growth is a minor and decoupled fraction of boreal forest carbon input, Agricultural and Forest Meteorology, 2020, Vol. 290, p. 108030, DOI: 10.1016/j.agrformet.2020.108030

Pekkoev A. N., Moshnikov S. A., Romashkin I. V., Teslya D. V., Zapasy ugleroda v fitomasse drevesnykh rastenii i krupnykh drevesnykh ostatkakh v starovozrastnykh sosnyakakh chernichnykh zapovednika «Kivach» (Carbon stocks in the phytomass of woody plants and large woody debris in old-growth bilberry pine forests of the Kivach Nature Reserve), Voprosy lesnoi nauki, 2024, Vol. 7, No 4, Article 156, DOI: 10.31509/2658-607x-202474-156

Prikaz Min. prirody RF «On approval of the methodology for quantitative determination of greenhouse gas emissions and greenhouse gas uptake», available at: https://clc.li/uOxvY (2026, 03 February).

Repola J., Ojansuu R., Kukkola M., Biomass functions for Scots pine, Norway spruce and birch in Finland, Helsinki: Finnish Forest Research Institute, 2007, 28 p.

Schepaschenko D., Moltchanova E., Fedorov S., Karminov V., Ontikov P., … & Kraxner F., Russian forest sequesters substantially more carbon than previously reported, Scientific Reports, 2021, Vol. 11, Article 12825, DOI: 10.1038/s41598-021-92152-9

Sheshnitsan S. S., Kartashova N. P., Shtepa E. N., Tsaregorodtsev A. V., Safonova A. A., Zapasy ugleroda v fitomasse i biologicheskaya produktivnost’ spelykh i perestoinykh drevostoev prigorodnogo lesnichestva Voronezhskoi oblasti (Carbon stocks in phytomass and biological productivity of mature and overmature forest stands of the suburban forestry of the Voronezh region), Lesotekhnicheskii zhurnal, 2024, Vol. 14, No 4(56), pp. 97–110, DOI: 10.34220/issn.2222-7962/2024.4/7

Strîmbu V. F., Næsset E., Ørka H. O., Liski J., Petersson H., Gobakken T., Estimating biomass and soil carbon change at the level of forest stands using repeated forest surveys assisted by airborne laser scanner data, Carbon Balance Manage, 2023, Vol. 18, No 10, DOI: 10.1186/s13021-023-00222-4

Thurner M., Beer C., Santoro M., Carvalhais N., Wutzler T., Schepaschenko D., Shvidenko A., Kompter E., Ahrens B., Levick S. R., Schmullius C., Carbon stock and density of boreal and temperate forests, Global Ecology and Biogeography, 2014, Vol. 23, pp. 297–310, DOI: 10.1111/geb.12125

Trofimova I. L., Koshcheeva U. P., Nagimov Z. Ya., Nadzemnaya fitomassa sosnovykh nasazhdenii v razlichnykh tipakh lesa v usloviyakh Srednego Urala (Aboveground phytomass of pine plantations in various types of forests in the Middle Urals), AVU, 2012, No 8 (100), pp. 55–58.

Tsvetkov V. F., Chertovskii V. G., Klassifikatsionnye tipologicheskie skhemy lesov i lesorastitel’noe raionirovanie Murmanskoi oblasti (Classification typological schemes of forests and forest vegetation zoning of the Murmansk region), Arkhangelsk: Izd-vo AILiLKH, 1979, 36 p.

Usol’tsev V. A., Fitomassa model’nykh derev’ev lesoobrazuyushchikh porod Evrazii: baza dannykh, klimaticheski obuslovlennaya geografiya, taksatsionnye normativy (Phytomass of model trees of forest-forming species of Eurasia: database, climatically determined geography, taxation standards), Ekaterinburg: izd-vo Ural’skogo gosudarstvennogo lesotekhnicheskogo universiteta, 2016, 336 p.

Wirth C., Schumacher J., Schulze E. D., Generic biomass functions for Norway spruce in Central Europe – a meta-analysis approach toward prediction and uncertainty estimation, Tree Physiology, 2004, Vol. 24, No 2, pp. 121–139, DOI: 10.1093/treephys/24.2.121

Zajceva I. V., Kobyakov K. N., Nikonov V. V., Smirnov D. Yu., Korennye starovozrostnye lesa Murmanskoi oblasti (Primary old-growth forests of the Murmansk region), Lesovedenie, 2002, No 2, p. 14–22.

Zianis D., Muukkonen P., Mäkipää R., Mencuccini M., Biomass and stem volume equations of tree species in Europe, Silva Fennica, 2005, No 4, DOI: 10.14214/sf.sfm4

А. V. Ivanov¹*, S. V. Bryanin¹, E. S. Susloparova¹, Yu. A. Masyutina¹, A. V. Danilov¹,  A. V. Kondratova¹, A. E. Mazhara²

¹Institute of Geology and Nature Management, Far Eastern Branch of the Russian Academy of Sciences

Relyochny Lane 1, Blagoveshchensk 675000, Russian Federation

²Far East Forestry Research Institute, Volochaevskaya St, 71, Khabarovsk, 680020, Russian Federation

 *E-mail: aleksandrgg86@mail.ru

Received: 30.10.2025

Revised: 12.02.2026

Accepted: 19.02.2026

The study summarizes and analyzes data on forest litter properties in the larch forests of the Russian Far East, which are subject to frequent fire disturbances. Based on a representative database, spatial variability patterns of the key litter properties were described. The research was conducted on 125 sample plots across the Amur Region, Transbaikal Territory, and Yakutia, considering the fire factor. The results revealed significant variability in litter stocks (Cv = 66.4%), whereas carbon and nitrogen contents proved to be more conservative indicators (Cv = 11.5% and 19.5%, respectively). It was established that litter carbon stocks in the studied disturbed forests are comparable to the carbon stocks in the aboveground tree biomass, averaging 8.3±0.5 t C ha^-1 in the Amur Region, 10.4±1.1 t C ha^-1 in Yakutia, and 4.6±0.4 t C ha^-1 in Transbaikal, which exceeds the values reported in the national database. Analysis of variance (ANOVA) identified statistically significant differences in litter stocks between the regions, reflecting climatic gradients. A regression model for litter stock was developed using “elevation” and “foliage carbon stock” as predictors (R² = 0.40). Meanwhile, fire characteristics, such as the differenced Normalized Burn Ratio (dNBR) and time since the last fire, showed no significant direct effect on litter stock. This lack of correlation may be attributed to the complexity of fire-induced processes in permafrost conditions and the inherent limitations of remote sensing assessment techniques.

 Keywords: forest litter, larch forests, stock, forest fires, Far East

 REFERENCES

Abaimov A. P., Prokushkin S. G., Sukhovol’skii V. G., Ovchinnikova T. M., Otsenka i prognoz poslepozharnogo sostoyaniya listvennitsy Gmelina na merzlotnykh pochvakh Srednei Sibiri (Assessment and forecast of the post-fire state of Gmelin larch on permafrost soils of Central Siberia), Lesovedenie, 2004, No 2, pp. 3–11.

Chestnykh O. V., Lyzhin V. A., Koksharova A. V., Zapasy ugleroda v podstilkakh lesov Rossii (Carbon stocks in the litters of Russian forests), Lesovedenie, 2007, No 6, pp. 114–121.

Crawford C., Roy D., Arab S., Barnes C., Vermote E., … & Zahn S., The 50-year Landsat collection 2 archive, Science of Remote Sensing, 2023, Vol. 8, Article 100103, DOI: 10.1016/j.srs.2023.100103

Digital Soil Map of the World and derived soil properties (Version 3.6), FAO Land and Water Development Division, FAO, 2003.

Domke G. M., Perry C. H., Walters B. F., Woodall C. W., Russell M. B., Smith J. E., Estimating litter carbon stocks on forest land in the United States, Science of The Total Environment, 2016, Vol. 557, pp. 469–478.

Ficken C. D., Wright J. P., Effects of fire frequency on litter decomposition as mediated by changes to litter chemistry and soil environmental conditions, PLoS One, 2017, Vol. 12, No 10, Article e0186292.

Ivanov A. V. Forest litter in the Far East of Russia. Figshare. Dataset. 2025. https://doi.org/10.6084/m9.figshare.30422950.v1 (2026, 1 February)

Ivanov A. V., Neumann M., Darman G. F., Danilov A. V., Susloparova E. S., Solovyov I. D., Kravchenko O. M., Smuskina I. N., Bryanin S., Vulnerability of larch forests to forest fires along a latitudinal gradient in Eastern Siberia, Canadian Journal of Forest Research, 2022, Vol. 52, pp. 1543–1552.

Ivanov A. V., Zamolodchikov D. G., Ivanova E. V., Novye otsenki elementov uglerodnogo tsikla dlya poimennykh lesov yuzhnogo Primor’ya (New estimates of carbon cycle elements for floodplain forests of southern Primorye), Agrarnyi vestnik Primor’ya, 2023, No 2 (30), pp. 63–67.

Ivanov A. V., Zapasy lesnykh podstilok v kedrovo-shirokolistvennykh lesakh yuzhnogo Sikhote-Alinya (Forest litter stocks in cedar-broadleaf forests of southern Sikhote-Alin), Sibirskii lesnoi zhurnal, 2015, No 5, pp. 87–95.

Ivanov A., Masyutina Y., Susloparova E., Danilov A., Zenevskaya E., Bryanin S., Effect of fire on aboveground carbon pools dynamic in the boreal forests of Eastern Eurasia: Analysis of field and remote data, Forests, 2024, Vol. 15, No 1448, DOI: 10.3390/f15081448

Key C. H., Benson N. C., Landscape Assessment (LA) Sampling and Analysis Methods. In: USDA Forest Service General Technical Report RMRS-GTR, USDA: Washington, DC, USA, 2006, 55 p.

Kharuk V. I., Ponomarev E. I., Spatiotemporal characteristics of wildfire frequency and relative area burned in larch-dominated forests of Central Siberia, Russian Journal of Ecology, 2017, Vol. 48, pp. 507–512.

Kharuk V. I., Shvetsov E. G., Buryak L. V., Golyukov A. S., Dvinskaya M. L., Petrov I. A., Wildfires in the Larch Range within Permafrost, Siberia, Fire, 2023, Vol. 6, No 8, p. 301, DOI: 10.3390/fire6080301

Nave L. E., Vance E. D., Swanston C. W., Curtis P. S., Fire effects on temperate forest soil C and N storage, Ecological Applications, 2011, Vol. 21, No 4, pp. 1189–1201, DOI: 10.1890/10-0660.1

Ponomarev E. I., Zabrodin A. N., Shvetsov E. G., Ponomareva T. V., Wildfire intensity and fire emissions in Siberia, Fire, 2023, Vol. 6, No 7, p. 246, DOI: 10.3390/fire6070246

Prokushkin S. G., Abaimov A. P., Prokushkin A. S., Masyagina O. V., Biomassa napochvennogo pokrova i podleska v listvennichnykh lesakh kriolitozony srednei Sibiri (Biomass of ground cover and understorey in larch forests of the cryolithozone of Central Siberia), Sibirskii ekologicheskii zhurnal, 2006, Vol. 13, No 2, pp. 131–139.

Rukovodyashchie ukazaniya po effektivnoi praktike dlya zemlepol’zovaniya, izmenenii v zemlepol’zovanii i lesnogo khozyaistva (Good Practice Guidance for Land Use, Land-Use Change and Forestry), Programma MGEIK po natsional’nym kadastram parnikovykh gazov, MGEIK, 2003, 648 p.

Sergeeva O. V., Mukhortova L. V., Krivobokov L. V., Raspredelenie zapasov podstilki i biomassy zhivogo napochvennogo pokrova v severnoi taige Tsentral’noi Evenkii v zavisimosti ot rel’efa (Distribution of litter stocks and biomass of live ground cover in the northern taiga of Central Evenkia depending on topography), Sibirskii lesnoi zhurnal, 2020, No 1, pp. 38–46.

Shirov A. A., Sozdanie sistemy monitoringa i prognozirovaniya vyброsov klimaticheski aktivnykh veshchestv v interesakh modernizatsii i razvitiya ekonomiki Rossii (Creation of a system for monitoring and forecasting emissions of climate-active substances in the interests of modernization and development of the Russian economy), Problemy prognozirovaniya, 2023, No 6, pp. 11–24.

Usol’tsev V. A., Fitomassa model’nykh derev’ev dlya distantsionnoi i nazemnoi taksatsii lesov Evrazii (Phytomass of model trees for remote and ground forest inventory in Eurasia), Yekaterinburg: Ural. gos. lesotekhn. un-t, 2016.

Utkin A. I., Zamolodchikov D. G., Chestnykh O. V., Organicheskii uglerod listvennichnykh lesov Rossii (Organic carbon in larch forests of Russia), Khvoinye boreal’noi zony, 2003, Vol. 21, No 1, pp. 66–76.

Zabrodin A. N., Ponomarev E. I., Otsenka svyazi mezhdu stepen’yu pozharnogo vozdeistviya na rastitel’nost’ i moshchnost’yu teploizlucheniya ot pozhara (Assessment of the relationship between the degree of fire impact on vegetation and the intensity of thermal radiation from fire), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, No 5, pp. 166–175.

Zamolodchikov D. G., Grabovskii V. I., Chestnykh O. V., Dinamika balansa ugleroda v lesakh federal’nykh okrugov Rossiiskoi Federatsii (Dynamics of carbon balance in the forests of federal districts of the Russian Federation), Voprosy lesnoi nauki, 2018, Vol. 1, No 1, pp. 1–24.

]]> https://jfsi.ru/en/9-1-2026-korotkovevstigneev/ Tue, 21 Apr 2026 08:10:24 +0000 https://jfsi.ru/?p=8110

V.  N. Korotkov^1*, O. I. Evstigneev²

¹ Isaev Centre for Forest Ecology and Productivity of the RAS Profsoyuznaya st., 84/32, bldg. 14, Moscow, 117997 Russia

²State Nature Biosphere Reserve «Bryansk Forest» Sanctuary str, 2, st. Nerussa, Suzemsky district, Bryansk, 242180 Russia

*E-mail: korotkovv@list.ru

Received: 16.02.2026

Revised: 17.03.2026

Accepted: 20.03.2026

The article presents a concise biography of the outstanding botanist and educator, Professor Alexey Aleksandrovich Uranov, founder of the scientific school of plant population biology. Memoirs of A. A. Uranov’s students are quoted, reflecting his scientific legacy and pedagogical influence. Supplementary materials include bibliographic lists of abstracts from 43 Candidate of Sciences (PhD) and 12 Doctor of Sciences dissertations completed by Uranov’s disciples, as well as a list of articles and conferences dedicated to A. A. Uranov.

Keywords: ontogeny, coenopopulations, phytocoenology, problem-based biological laboratory, history of science

REFERENCES

Cenofond lesov Evropejskoj chasti Rossii (Spectrum of forest plant communities in the European part of Russia), Available at: https://cepl.rssi.ru/bio/flora/main.htm, (2026, 13 February).

Cenopopuljacii rastenij (ocherki populjacionnoj biologii) (Plant Coenopopulations: Essays in Population Biology), Moscow, Nauka, 1988, 184 p.

Cenopopuljacii rastenij (osnovnye ponjatija i struktura) (Plant Coenopopulations: Basic Concepts and Structure), Moscow, Nauka, 1976, 217 p.

Cenopopuljacii rastenij. Razvitie i vzaimootnoshenija (Plant Coenopopulations: Development and Interrelationships), Moscow, Nauka, 1977, 131 p.

Diagnozy i kljuchi vozrastnyh sostojanij lesnyh rastenij. Derev’ja i kustarniki (Diagnoses and Keys to Age States of Forest Plants: Trees and Shrubs), Moscow, Prometej, 1989, 102 p.

Diagnozy i kljuchi vozrastnyh sostojanij lugovyh rastenij. Ch. 3. Metodicheskie rekomendacii dlja studentov biologicheskih special’nostej (Diagnoses and Keys to Age States of meadow plants. Part 2. Methodological Guidelines for Biology Students), Moscow, MGPI, 1983b, 80 p.

Diagnozy i kljuchi vozrastnyh sostojanij lugovyh rastenij. Pt. 1. Odnodol’nye. Zlaki. Metodicheskie razrabotki dlja studentov biologicheskih special’nostej (Diagnoses and Keys to Age States of meadow plants. Part 1. Monocots. Grasses (Poaceae). Methodological Guidelines for Biology Students), Moscow, MGPI, 1980, 110 p.

Diagnozy i kljuchi vozrastnyh sostojanij lugovyh rastenij. Pt. 2. Metodicheskie rekomendacii dlja studentov biologicheskih special’nostej (Diagnoses and Keys to Age States of meadow plants. Part 2. Methodological Guidelines for Biology Students), Moscow, MGPI, 1983a, 97 p.

Dinamika cenopopuljacij rastenij (Dynamics of Plant Coenopopulations), Moscow, Nauka, 1985, 208 p.

European Russian Forests. Their Current State and Features of Their History, Heidelberg, Germany: Springer Berlin, 2017, 566 p.

Izuchenie struktury i vzaimootnoshenija cenopopuljacij. Metodicheskie razrabotki dlja studentov biologicheskih special’nostej (Studying the Structure and Interactions of Coenopopulations: Methodological Guidelines for Biology Students), Moscow, MGPI, 1986, 74 p.

Metodicheskie podhody k jekologicheskoj ocenke lesnogo pokrova v bassejne maloj reki (Methodological Approaches to Ecological Assessment of Forest Cover in a Small River Basin), Moscow, KMK, 2010, 383 p.

Ocenka i sohranenie bioraznoobrazija lesnogo pokrova v zapovednikah evropejskoj Rossii (Assessment and Conservation of Forest Cover Biodiversity in Nature Reserves of European Russia), Moscow, Nauchnyj mir, 2000, 196 p.

Podhody k izucheniju cenopopuljacij i konsorcij (Approaches to the Study of Coenopopulations and Consortia), Moscow, MGPI, 1987, 87 p.

Shorina N. I., Kurchenko E. I., Grigor’eva N. M., Aleksey Aleksandrovich Uranov (1901–1974), Samarskaja Luka: problemy regional’noj i global’noj jekologii, 2014, v. 23, № 1, pp. 93–129.

Shorina N. I., Aleksey Aleksandrovich Uranov, Kafedra geobotaniki Moskovskogo universiteta: 75 let so dnja osnovanija, Moscow, Kafedra geobotaniki MGU, 2004, pp. 135-148.

Sukcessionnye processy v zapovednikah Rossii i problemy sohranenija biologicheskogo raznoobrazija, (Successional Processes in Russian Nature Reserves and Challenges of Biodiversity Conservation), Rossijskoe botanicheskoe obwestvo, 1999, 549 p.

The population structure of vegetation. Handbook of vegetation science. Part III. Dordrecht: Springer Science+Business Media, 1985, 669 p.

Uranov A. A., Vozrastnoj spektr fitocenopopuljacij kak funkcija vremeni i jenergeticheskih volnovyh processov (Age Spectrum of Coenopopulations as a Function of Time and Energetic Wave Processes), Nauch. dokl. Vyssh. shkoly. Biol. Nauki, 1975, No 2, pp. 7–34.

Uranov Aleksey Aleksandrovich. Publikacii (Uranov Aleksey Aleksandrovich. Publications), Available at: https://istina.msu.ru/profile/uaa1901/, (2026, 13 February).

Vostochnoevropejskie lesa: istorija v golocene i sovremennost’ (Eastern European forests: history in the Holocene and the present), Moscow: Nauka, 2004a, Book 1, 479 p.

Vostochnoevropejskie lesa: istorija v golocene i sovremennost’ (Eastern European forests: history in the Holocene and the present), Moscow, Nauka, 2004b, Book 2, 575 p.

Zhukova L. A., Aleksey Aleksandrovich Uranov – vydajuwijsja uchenyj pedagog (Alexey Aleksandrovich Uranov – Outstanding Scientist and Educator), in: Fundamental’naja i prikladnaja biomorfologija v botanicheskih i jekologicheskih issledovanijah. (Fundamental and Applied Biomorphology in Botanical and Ecological Research, Kirov, OOO «Raduga-PRESS», 2014, pp. 17–25.

Zhukova L. A., Mir prinadlezhit optimistam (The World Belongs to Optimists). In: Polivariantnost’ razvitija organizmov, populjacij i soobwestv (Polyvariant Development of Organisms, Populations, and Communities), Joshkar-Ola: Mar. gos. un-t, 2006, pp. 222–278.

Zhukova L. A., Shafranova L. M., Onipchenko V. G., Zubkova E. V., Vydajuwiesja populjacionnye jekologi i biomorfologi – A. A. Uranov, T. A. Rabotnov, I. G. Serebrjakov, T. I. Serebrjakova (Outstanding Population Ecologists and Biomorphologists – A. A. Uranov, T. A. Rabotnov, I. G. Serebrjakov, T. I. Serebrjakova): CD-ROM–disk, Joshkar-Ola, 2015.

V. N. Petrov^*, I. V. Filinova

FGBOU VO “Saint-Petersburg State Forest Engineering University named after S. M. Kirov”,

Institutsky per., 5, liter. U, Saint-Petersburg 194021, Russian Federation

^*E-mail: wladimirpetrov@mail.ru

Received: 23.01.2026

Revised: 09.02.2026

Accepted: 19.02.2026

The relevance of the research is explained by the contradiction between the availability of forest resources, the demand for timber materials, and the low economic efficiency of their use, conservation, and reproduction. The lack of a regional approach to economically assessing each region’s contribution to the total gross domestic product creates a distorted economic picture of the low efficiency of the country’s entire forest sector. The situation is aggravated by the approach used by Rosleskhoz to evaluate the powers delegated to the subjects of the Russian Federation in the field of forest relations. Evaluating powers and their ultimate outcome are not the same; it is possible to exercise powers, utilize all allocated subsidies, and yet not achieve the final result, given the duration of the production process in forestry and the absence of a unified opinion on assessing the final outcomes in terms of forest conservation, reproduction, and utilization. The aim of the study is to justify the need for a regional approach to assessing the economic efficiency of regional forestry complexes, and to develop a system of evaluation indicators that take into account the social, economic, and forest management conditions of the regions. The research materials used included the scientific work of the Department of Forest Policy, Economics, and Management at the Saint Petersburg State Forest Technical University, as well as studies by domestic forest economists examining the development patterns of the forest industry and forestry. The hypothesis of the study is that a regional approach to assessing the economic efficiency of forest complexes in the subjects of the Russian Federation will reflect the objective results of their activities and contribute to the formation of an adequate regional forest policy. To achieve this goal, the study employed theoretical research methods, which at the initial stage most fully correspond to the research topic and the set objectives. The authors acknowledge that the proposed approach to the economic assessment of the efficiency of regional forest relations is incomplete, as it does not take into account the ecological component of forests, expressed in monetary terms. Research findings: economic, social, ecological, and legal factors have been identified that need to be considered in a comprehensive assessment of the performance of regional forest complexes; an indicator of economic effect has been proposed, tailored to the specifics of territorial forest-industrial complexes; a matrix for forming indicators of economic efficiency of the production and business activities of regional forest complexes and indicators of the cost-effectiveness of managing territorial forest-industrial complexes has been proposed.

Keywords: regional forest complexes, economic effect, economic efficiency, economic assessment of the performance of regional forest complexes, factors influencing the economic efficiency of regional forest complexes, efficiency assessment matrix of forest complexes

  REFERENCES

Anufrieva A. A., Devyatova N. S., Strategicheskoe planirovanie razvitiya lesnogo khozyajstva regiona v ramkakh kontseptsii zelenoj ekonomiki (Strategic planning for the development of the region’s forestry sector within the framework of the green economy concept), Ekonomika regiona, 2022, Vol. 18, No 3, pp. 787–801, DOI: 10.17059/ekon.reg.2022-3-12

Fedolyak V. S., Vosproizvodstvennyj protsess kak sposob realizatsii khozyajstvennoj samostoyatelʹnosti regionov Rossii (The Reproductive Process as a Way of Implementing the Economic Autonomy of Russia’s Regions), Izvestiya Saratovskogo universiteta. Seriya: Ekonomika. Upravlenie. Pravo, 2009, Vol. 9, No 1, pp. 22–25.

Il’in V. A., Gavrilenko V. I., Smirnova A. I., Tekushhee planirovanie lesokhozyajstvennogo proizvodstva v usloviyakh khozyajstvennogo rascheta (Current planning of forestry production under economic accounting conditions), Ekonomicheskie problemy raboty predpriyatij lesnogo kompleksa v usloviyakh rynochnykh otnoshenij, 1993, pp. 25–29.

Ivanov A. L., Kust G. S., Kozlov D. N., Andreeva O. V., Andronov E. E., Bardin M. Yu., … & Yakushev V. P., Globalʹnyj klimat i pochvennyj pokrov Rossii: otsenka riskov i ekologo-ekonomicheskikh posledstvij degradatsii zemelʹ. Adaptivnye sistemy i tekhnologii ratsionalʹnogo prirodopolʹzovaniya (selʹskoe i lesnoe khozyajstvo) (Global climate and soil cover of Russia: assessment of risks and ecological-economic consequences of land degradation. Adaptive systems and technologies for rational nature management (agriculture and forestry): Natsionalʹnyj doklad, Moscow: GEOS, 2018. 357 p.

Kazandzhan S. B., Voronin A. A., Ekonomicheskaya otsenka lesnykh resursov regiona (Economic assessment of the region’s forest resources), Vestnik Akademii prava i upravleniya, 2024. No 4(79), pp.118–123. DOI: 10.47629/2074-9201_2024_4_118_123

Krasnopolʹskij B. Kh., Prostranstvennaya ekonomika i infrastruktura: razrabotka teoreticheskikh podkhodov i metodicheskikh priemov issledovaniya pod nauchnym rukovodstvom akademika P. A. Minakira (Spatial economy and infrastructure: development of theoretical approaches and research methods under the scientific guidance of Academician P. A. Minakir), Teoriya, metody i praktika prostranstvennoj ekonomiki: Sbornik statej po materialam Vserossijskoj nauchno-prakticheskoj konferentsii s mezhdunarodnym uchastiem pamyati akademika P. A. Minakira, Khabarovsk, 03–04 dekabrya 2024, Khabarovsk: Institut ekonomicheskikh issledovanij DVO RAN, 2024, pp. 177–186.

Lukina N. V. Globalʹnye vyzovy i lesnye ekosistemy (Global Challenges and Forest Ecosystems), Vestnik Rossijskoj akademii nauk, 2020, Vol. 90, No 6, pp. 528–532. DOI: 10.31857/S0869587320060080.

Lukina N. V., Geras’kina A. P., Kuznecova A. I., Smirnov V. E., Gornov A. V., Shevchenko N. E., … & Basova E. V., Funkcional’naya klassifikaciya lesov: aktual’nost’ i podhody k razrabotke (Functional Classification of Forests: Relevance and Approaches to Development), Lesovedenie, 2021, No 6, pp. 566–580. DOI: 10.31857/S0024114821060085

Marty`nyuk A. A., Filipchuk A. N., Maly`sheva N. V., Vklad boreal`ny`x lesov Rossii v smyagchenie izmenenij klimata. Dinamika poslednix desyatiletij (The contribution of Russia’s boreal forests to climate change mitigation. Dynamics of recent decades), Mezhdunarodnaya nauchno-praktich. konf. E`kologiya i klimat, Sankt-Peterburg, 25-26.02.2020, Saint Petersburg, 2020, pp. 367–282.

Martyniuk А. А., Ptichnikov A. V., Adaptation of International Indicators of Land Degradation Neutrality for the Assessment of Forest Ecosystems in Arid Conditions in Russia, Arid Ecosystems, 2020, Vol. 10, No 2, pp. 127–134, DOI: 10.1134/S2079096120020109

Minakir P. A. Prostranstvennye effekty v ekonomike i upravlenii (Spatial effects in economics and management), Ekonomika i upravlenie, 2011, No 5(67), pp. 22–33.                `

Petrov A. P., Burdin N. A., Kozhuhov N. I. Lesnoj kompleks. Voprosy teorii i praktiki (Forest Complex. Issues of Theory and Practice), Moscow: Lesnaya promyshlennost’, 1986, 296 p.

Petrov V. N., Filinova I. V., Ekonomicheskaya effektivnostʹ upravleniya lesami (Economic efficiency of forest management), Aktualʹnye problemy razvitiya lesnogo kompleksa: Materialy XVI Mezhdunarodnoj nauchno-tekhnicheskoj konferentsii, Vologda, 05.12.2018, Vologda: Vologodskij gosudarstvennyj universitet, 2019, pp. 210–212.

Petrov V. N., Filinova I. V., Finansovyj rezulʹtat gosudarstvennogo upravleniya lesami (Financial result of state forest management), Effektivnoe upravlenie ekonomikoj: problemy i perspektivy: Sbornik trudov X Mezhdunarodnoj nauchno-prakticheskoj konferentsii, Simferopolʹ, 17.04.2025, Simferopolʹ: OOO Arial, 2025, pp. 407–410.

Petrov V. N., Filinova I. V., Pokazateli ocenki kompleksnogo ispol’zovaniya drevesiny v regione (Indicators for assessing the integrated use of wood in the region), Effektivnoe upravlenie ekonomikoj: problemy i perspektivy: Sbornik trudov IX Vserossijskoj nauchno-prakticheskoj konferencii Simferopol’, 18.04.2024, Simferopol’: Arial, 2024, pp. 262–265.

Razrabotat’ osnovy i metody formirovaniya ekonomicheskih otnoshenij mezhdu proizvodstvami v sisteme lesopromyshlennyh ob”edinenij i kompleksnyh lesnyh predpriyatij v novyh usloviyah hozyajstvovaniya (Develop the foundations and methods for forming economic relations between industrial enterprises within the system of forestry industrial associations and integrated forest enterprises under new economic conditions): promezhutochnyj otchyot o NIR gos. reg. 187.0 197663, LTA, Ruk. A. P. Petrov, Leningrad: LTA, 1987, 89 p.

Teben’kova D. N., Lukina N. V., Kataev A. D., Chumachenko S. I., Kiseleva V. V., Kolycheva A. A., … & Kuznecova A. I., Razrabotka stsenariev dlya imitatsionnogo modelirovaniya ekosistemnykh uslug lesov (Development of scenarios for simulation modeling of forest ecosystem services), Voprosy lesnoj nauki, 2022, Vol. 5, No 2, pp. 1–87, DOI: 10.31509/2658-607x-202252-104

Teben’kova D. N., Lukina N. V., Kataev A. D., Chumachenko S. I., Shanin V. N., Kiseleva V. V., … & Kuznecova A. I., Novyj podhod k razrabotke scenariev razvitiya lesnyh territorij dlya podderzhki prinyatiya upravlencheskih reshenij (A new approach to developing forest area development scenarios to support management decision-making), Nauchnye osnovy ustojchivogo upravleniya lesami: Materialy Vserossijskoj nauchnoj konferencii s mezhdunarodnym uchastiem, posvyashchennoj 30-letiyu CEPF RAS, Moskva, 25–29 April 2022, Moscow: CEPF RAS, 2022, pp. 326–329.

Original research

А. V. Ivanov, S. V. Bryanin, E. S. Susloparova, Yu. A. Masyutina, A. V. Danilov, A. V. Kondratova, A. E. Mazhara

SPATIAL VARIABILITY OF FOREST FLOOR PROPERTIES IN POST-FIRE LARCH FORESTS OF THE RUSSIAN FAR EAST

V. N. Petrov, I. V. Filinova 

APPROACH TO DETERMINING THE ECONOMIC EFFECT OF REGIONAL FOREST COMPLEXES

N. S. Ryabov, L. G. Isaeva

COMPARISON OF MODEL-BASED FOREST STAND BIOMASS ESTIMATION: THE CASE OF SPRUCE PHYTOCOENOSES IN THE MURMANSK REGION

O. N. Ukhvatkina, A. M. Omelko, V. E. Zakharova, A. A. Zhmerenetsky, G. A. Gladkova, L. A. Sibirina, A. V. Kuprin

DYNAMICS OF KOREAN PINE-BROADLEAF FOREST RECOVERY AFTER SINGLE LOGGING IN THE 1960s IN THE SOUTHERN SIKHOTE-ALIN

Anniversaries

V. N. Korotkov, O. I. Evstigneev

ON THE 125TH ANNIVERSARY OF THE BIRTH OF PROFESSOR ALEXEI ALEXANDROVICH URANOV

S. V. Knyazeva*, A. D. Nikitina, E. I. Belova

 Isaev Centre for Forest Ecology and Productivity of the Russian Academy of Sciences,

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

 *E-mail: knsvetl@gmail.com

Received: 08.10.2025

Revised: 17.11.2025

Accepted: 28.11.2025

This article presents the results of a study examining the potential of threshold segmentation of intercrown areas of forest canopy images using domestic ultra-high-resolution satellite images obtained from the Resurs-P1 (Geoton-L) satellite to identify the relationship between segmentation parameters and biometric characteristics of pine stands, using the forests of the Curonian Spit National Park as an example. The proposed method is based on identifying shaded segments of the intercrown space within forest stand boundaries, taking into account a specified brightness range, and then merging adjacent pixels based on spectral proximity at a new specified brightness threshold. For each specified threshold, the areas and average brightness values ​​of shadow segments within the stand boundaries, standard deviations, and median values ​​are determined. Based on these values, a threshold canopy closure is calculated for each stand, taking into account only shaded intercrown spaces. Statistical characteristics of average brightness and canopy closure threshold serve as variables for regression modeling of biometric characteristics (height, diameter, and stand age) of pine forests.

The regression analysis was conducted using an ensemble method with Random Forest (RF) decision tree construction. The R² coefficient of determination for pine forest characteristics ranges from 0.29 to 0.37. The results of the validation model for the test set are virtually identical to those for the training set, demonstrating the robustness of the RF model. Regression modeling of pine stand characteristics using the RF algorithm (using pure pine stands in the Curonian Spit National Park as an example), using predictors derived from threshold segmentation of forest canopy images on Geoton-L panchromatic images, yields stable results with a root-mean-square error of approximately 4 m for average height, 6 cm for diameter, and 20 years for age. Threshold segmentation of tree canopy images is useful for preliminary assessment of stand characteristics in cases where radiometric correction of spectral data is insufficient for calculating standard textural characteristics.

Keywords: pine forests biometric characteristics, ultra-high spatial resolution satellite images, threshold image segmentation, texture features, regression modeling

REFERENCES

Aleksanin A. I., Kim V., Obnaruzhenie rubok po tenyam (Detection of logging sites) VI Mezhdunarodnaya nauchnaya konferenciya «Regional’nye problemy distancionnogo zondirovaniya Zemli» (6th International Scientific Conference “Regional Problems of Remote Sensing of the Earth”), Sibirskij federal’nyj universitet, Institut kosmicheskih i informacionnyh tekhnologij, 2019, pp. 66–68.

Aleksanina M. G., Khramtsova A. V., Obnaruzhenie melkomasshtabnoj izmenchivosti lesnogo pologa na sputnikovyh panhromaticheskih izobrazheniyah na osnove matricy smezhnosti perepadov yarkosti (Detection of small-scale forest canopy variability in satellite panchromatic images based on brightness difference adjacency matrix), Sovremennye problemy distancionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No 4, pp. 47–59.

Beguet B., Guyon D., Boukir S., Chehata N., Automated retrieval of forest structure variables based on multi-scale texture analysis of VHR satellite imagery, ISPRS Journal of Photogrammetry and Remote Sensing, 2014, Vol. 96. pp. 164–178.

Denisova A. Yu., Egorova A. A., Sergeev V. V., Kavelenova L. M., Vyrabotka trebovanij k mul’tispektral’nym dannym distancionnogo zondirovaniya Zemli v zadache ekspertizy zarastaniya pahotnyh zemel’ drevesno-kustarnikovoj rastitel’nost’yu (Development of requirements for multispectral Earth remote sensing data in the task of assessing the overgrowth of arable lands with trees and shrubs), Komp’yuternaya optika, 2019, Vol. 43, No 5, pp. 846–856.

Dmitriev E. V., Kondranin T. V., Zotov S. A., Segmentaciya prirodnyh i antropogennyh ob”ektov po panhromaticheskim sputnikovym izobrazheniyam s ispol’zovaniem statisticheskih teksturnyh priznakov (Segmentation of natural and anthropogenic objects from panchromatic satellite images using statistical texture features), Avtometriya, 2022, Vol. 58, No 2, pp. 69–84.

Fedotova E. V., Zarechneva A. I., Prostranstvenno-vremennaya dinamika vspyshki massovogo razmnozheniya sibirskogo shelkopryada v temnohvojnyh drevostoyah Gornogo Altaya (Spatial-temporal dinamics of siberian silkmoth outbreak in dark needle coniferous forest in Altay Mountains), Zhurnal Sibirskogo federal’nogo universiteta. Seriya: Tekhnika i tekhnologii, 2017, Vol. 10, No 6, pp. 747–757.

Gomez C., Wulder M., Montes F., Delgado J., Modeling Forest Structural Parameters in the Mediterranean Pines of Central Spain using QuickBird-2 Imagery and Classification and Regression Tree Analysis (CART), Remote Sensing, 2012, Vol. 4, pp. 135–159, DOI: 10.3390/rs4010135

Kavelenova L. M., Korchikov E. S., Prohorova N. V., Terent’eva D. A., Fedoseev V. A., K  vozmozhnostyam obnaruzheniya i ocenki sostoyaniya lesopolos na osnove kompleksnogo ispol’zovaniya dannyh  DZZ i nazemnogo obsledovaniya (On the possibilities of detecting and assessing the condition of forest belts based on the integrated use of remote sensing data and ground-based surveys), IV mezhdunarodnaya konferenciya i molodezhnaya shkola «Informacionnye tekhnologii i nanotekhnologii» (ITNT-2018) (4th International Conference and Youth School «Information Technology and Nanotechnology»), Samara: Novaya tekhnika, 2018, pp. 882–891.

Knyazeva S. V., Koroleva N. V., Ejdlina S. P., Sochilova E. N., Ocenka sostoyaniya rastitel’nosti v ochage massovogo razmnozheniya sibirskogo shelkopryada po sputnikovym dannym (Health of vegetation in area of mass outbreaks of siberian moth: a satellite-based estimate), Lesovedenie, 2019, No 5, pp. 385–398.

Knyazeva S. V., Nikitina A. D., Belova E. I., Plotnikova A. S., Podol’skaya E. S., Kovganko K. A., Metodicheskie podhody k ocenke harakteristik lesov po dannym sputnikovoj s”emki sverhvysokogo prostranstvennogo razresheniya v opticheskom diapazone (Methods and approaches to the estimation of forest characteristics using the optical satellite data of very high spatial resolution), Lesovedenie, 2021, No 6, pp. 1–28.

Knyazeva S. V., Nikitina A. D., Gavrilyuk E. A., Tihonova E. V., Koroleva N. V., Ocenka biometricheskih parametrov sosnovyh drevostoev po sputnikovym dannym WorldView-3 i materialam bespilotnoj aeros”emki (Biometric parameter determination of pine stands based on WorldView-3 imagery and UAV survey), Sovremennye problemy distancionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, Nо 6, pp. 93–107.

Komarov A. V., Ershov D. V., Tihonova E. V., Informativnost’ spektral’nyh i morfometricheskih priznakov okonnoj struktury pologa drevostoya na osnove sputnikovyh dannyh (Informativeness of spectral and morphometric characteristics of the canopy gap structure based on the remote sensing), Lesovedenie, 2021, No 3, pp. 227–239.

Lottering R., Mutanga O., Peerbhay K., Ismail R., Detecting and mapping Gonipterus scutellatus induced vegetation defoliation using WorldView-2 pan-sharpened image texture combinations and an artificial neural network, Journal of Applied Remote Sensing, 2019, Vol. 13(1), DOI: 10.1117/1.JRS.13.014513

Markov A. N., Vasil’ev A. I., Krylov A. V., Evlashkin M. A., Pestryakov A. A., Miheev A. A., Alekseevskij A. S., Osobennosti obrabotki dannyh sensora «Geoton-L1» ksmicheskogo apparata Resurs-P pri formirovanii besshovnyh sploshnyh pokrytij regionov RF (Features of data processing from the Geoton-L1 sensor of the Resurs-P spacecraft when forming seamless continuous coverage of the Russian Federation regions), Raketno-kosmicheskoe priborostroenie i informacionnye sistemy, 2020, Vol. 7, No 1, pp. 72–83.

Milovsky G. A., Ishmukhametova V. T., Aparin A. D., Primenenie kosmicheskoj s”emki vysokogo razresheniya pri poiskah pribrezhnyh rossypej i mestorozhdenij uglevodorodov v severnyh moryah Rossii (Using high resolution space survey in searching for coastal springs and deposits of hydrocarbons in the northern seas of Russia), Issledovanie Zemli iz kosmosa, 2021, No 6, pp. 74–82.

Nauchnyj centr operativnogo monitoringa Zemli AO «Rossijskie kosmicheskie sistemy» (Scientific Center for Operational Monitoring of the Earth of JSC Russian Space Systems, NC OMZ), URL: https://ntsomz.ru/ka_resurs_p_4_5/ (October 07, 2025)

Nikitina A. D., Knyazeva S. V., Koroleva N. V., Gavrilyuk E. A., Ejdlina S. P., Primenenie metoda porogovoj segmentacii izobrazhenij dlya opredeleniya parametrov drevesnoj rastitel’nosti po sputnikovym dannym sverhvysokogo prostranstvennogo razresheniya (Application of image thresholding method to determine tree vegetation parameters from ultra-high spatial resolution satellite data), Mezhdunarodnaya nauchno-prakticheskaya konferenciya «Geomatika: obrazovanie, teoriya i praktika», posvyashchennaya 50-letiyu kafedry geodezii i kosmoaerokartografii i 85-letiyu fakul’teta geografii i geoinformatiki BGU (International Scientific and Practical Conference «Geomatics: Education, Theory, and Practice»), Sb. statej. RB, Minsk, 2019. pp. 114–118.

Peshkun A. A., Sozdanie trekhmernyh modelej mestnosti s ispol’zovaniem materialov s”emki kosmicheskogo apparata tipa «Resurs-P» (Creating of 3D surface models using «Resurs-P» spacecraft images), Raketno-kosmicheskoe priborostroenie i informacionnye sistemy, 2016, Vol. 3, No 1, pp. 28–33.

Sibiya B., Lottering R., Odindi J., Utility of texture combinations computed from fused WorldView-2 imagery in discriminating commercial forest species, Geocarto international, 2022, Vol. 37, No 23, pp. 6915–6931, DOI: 10.1080/10106049.2021.195231623

Terekhov A. G., Makarenko N. G., Pak I. T., Avtomaticheskij algoritm klassifikacii snimkov QuickBird v zadache ocenki polnoty lesa (Automatic classification algorithm of quick bird images in the problem of evaluating of forest completeness), Komp’yuternaya optika, 2014, Vol. 38, No 3, pp. 580–583.

Varlamova A. A., Denisova A. Yu., Sergeev V. V., Informacionnaya tekhnologiya obrabotki dannyh DZZ dlya ocenki arealov rastenij (Information technology for processing remote sensing data for assessing plant ranges), Komp’yuternaya optika, 2018, Vol. 42, No 5, pp. 864–876.

Wang W., Yao X., Yao X., Tian Y., Liu X., Ni J., Cao W., Zhu Y., Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat, Field Crops Research, 2012, Vol. 129, pp. 90–98, DOI: 10.1016/j.fcr.2012.01.014

Yurovskaya M. V., Kudryavtsev V. N., Stanichny S. V., Vosstanovlenie kinematicheskih harakteristik poverhnostnogo volneniya i batimetrii po mnogokanal’nym opticheskim snimkam kompleksa «Geoton-L1» na sputnike «Resurs-P» (Reconstruction of surface wave kinematic characteristics and bathymetry from Geoton-L1 multichannel optical images from Resurs-P satellite), Sovremennye problemy distancionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No 2, pp. 218–226.

Zhirin V. M., Knyazeva S. V., Ejdlina S. P., Ocenka biometricheskih parametrov nasazhdenij po izobrazheniyam mezhkronovogo prostranstva na kosmicheskih snimkah sverhvysokogo razresheniya (Estimation of linkages between biometric indexes of forests and pattern of canopy spaces on super-high resolution satellite images), Lesovedenie, 2018, No 3, pp. 163–177.

]]> https://jfsi.ru/en/8-4-2025-chronicle/ Mon, 19 Jan 2026 13:03:57 +0000 https://jfsi.ru/?p=7991

S. V. Knyazeva*, D. V. Ershov, A. D. Nikitina, E. A. Gavrilyuk, E. A. Arkhiptseva, E. N. Sochilova, N. V. Koroleva, E. S. Podolskaia, E. I. Belova, E. V. Tikhonova, A. V. Gornov, K. A. Kovganko, D. N. Tikhonov, K. V. Vorobyov

Isaev Centre for Forest Ecology and Productivity of the Russian Academy of Sciences,

Profsoyuznaya st., 84/32, bldg. 14, Moscow, 117997 Russian Federation

*E-mail: knsvetl@gmail.com

Received: 10.11.2025

Revised: 24.11.2025

Accepted: 08.12.2025

This article presents the results and summary of the most important and interesting reports from the IX All-Russian (with international participation) scientific conference “Aerospace Methods and Geoinformation Technologies in Forest Science, Forestry, and Ecology”, held April 15-17, 2025, in Moscow at the Isaev Centre for Forest Ecology and Productivity of the Russian Academy of Sciences (CEPF RAS). Over the three days of the conference, 60 reports were presented on promising areas of using remote sensing methods and GIS technologies in various aspects of forest ecosystem studies. The 130 participants represented research and educational organizations, as well as commercial companies from Russia, Belarus, and Azerbaijan. The plenary sessions covered important topics related to the assessment of large-scale changes in Russian forests using space monitoring data: the dynamics of species and age structure, forest damage from fires, and pyrogenic carbon emissions from forests. Considerable attention was also paid to the potential for predicting forest insect outbreaks using satellite data and the need for remote monitoring of forest reforestation on abandoned agricultural lands in Russia. A significant number of sectional presentations were devoted to the challenges and prospects of using aerial imagery from unmanned aerial vehicles (UAVs), airborne and terrestrial laser scanning, web application development, information and analytical systems, and automated services for monitoring forest vegetation changes to assess forest characteristics. Conference participants proposed recommendations for improving remote monitoring systems and noted significant progress in the development and use of artificial intelligence for recognizing tree crowns, clear-cut areas, forest infrastructure facilities, and other features using remote sensing data. A collection of abstracts from the conference was prepared electronically and posted on the website of the scientific electronic library Elibrary. Information about the IX All-Russian Scientific Conference, including the program, collection of materials, video broadcasts of plenary and sectional sessions, and presentations of papers, is available at https://cepl.rssi.ru/confs/ASGIS2025/.

Keywords: conference, remote sensing data, forest ecosystems, assessment of forest characteristics, dynamics of forest species and age structure, forest insect breeding grounds, geoinformation analysis, aerial photography from unmanned aerial vehicles, airborne and terrestrial laser scanning, artificial intelligence, cartographic geoservices

REFERENCES

Alekseev A. S., Chernihovskij D. M., Vyyavlenie rannih stadij povrezhdeniya elovyh drevostoev koroedom tipografom na osnove sovmeshcheniya dannyh nazemnyh probnyh ploshchadej i materialov DZZ (Identification of early stages of damage to spruce stands by the bark beetle based on a combination of ground-based sample plot data and remote sensing materials), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 11–12.

Belova E. I., Knyazeva S. V., Koroleva N. V., Ershov D. V., Tekhnologiya regional’nogo kartografirovaniya nazemnyh ekosistem i drevesnyh porod po raznosezonnym sputnikovym izobrazheniyam Landsat, IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 14–16.

Borovlyov A. Yu., Myl’nikova T. A., Elsakov V. V. Izmeneniya ob”emov godovogo stoka pod vliyaem promyshlennyh rubok lesa na primere vodosbornogo bassejna r. Mezen’ (Udorskij rajon Respubliki Komi), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 18–20.

Braslavskaya T. Yu., Nikitina A. D., Knyazeva S. V., Ocenka sostoyaniya drevostoev s ispol’zovaniem dannyh s”yomki BPLA na osnove raspredeleniya proekcij kron derev’ev po ploshchadi i forme (Assessment of the condition of tree stands using UAV survey data based on the distribution of tree crown projections by area and shape), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 20–22.

Gavrilyuk E. A., Sravnitel’nyj analiz effektivnosti geoprostranstvennogo modelirovaniya zapasov stvolovoj drevesiny i ugleroda drevostoev na osnove sputnikovyh dannyh i rezul’tatov vozdushnogo lazernogo skanirovaniya (Comparative analysis of the effectiveness of geospatial modeling of trunkwood stocks and tree stand carbon based on satellite data and airborne laser scanning results), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 23–25.

Dudov S. V., Dzizyurova V. D., Ryabenko O. I., Grishchenko M. Yu., Korznikov K. A., Temnohvojnye lesa Dal’nego Vostoka Rossii: novye karty i prichiny poter’ v XXI veke (Dark coniferous forests of the Russian Far East: new maps and reasons for losses in the 20th century), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 35–36.

Ershov D. V., Gavrilyuk E. A., Tihonov D. N., Nikitina A. D., Belova E. I., Metodika opredeleniya taksacionnyh harakteristik verhnego yarusa drevostoya na osnove obrabotki dannyh aerofotos”emki i vozdushnogo lazernogo skanirovaniya na primere model’noj territorii zapovednika «Kivach» (Methodology for determining the taxational characteristics of the upper tier of a tree stand based on processing aerial photography and airborne laser scanning data using the example of the model territory of the Kivach Nature Reserve), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 36–39.

Ershov D. V., Sochilova E. N., Kovganko K. A., Razvitie tekhnologii geoprostranstvennoj ocenki pryamyh emissij ugleroda ot lesnyh pozharov Rossii po sputnikovym produktam (Development of technology for geospatial assessment of direct carbon emissions from forest fires in Russia using satellite products), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 39–40.

Il’incev A. S., Cherkasov N. S., Analiz narushenij pochvennogo pokrova na sploshnyh vyrubkah s pomoshch’yu bespilotnogo letatel’nogo apparata (Analysis of soil disturbances in clear-cut areas using an unmanned aerial vehicle), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 43–45.

Knyazeva S. V., Nikitina A. D., Belova E. I., Ocenka harakteristik lesov po vysokodetal’nym dannym rossijskogo sputnika Resurs-P1 (Assessing forest characteristics using highly detailed data from the Russian Resurs-P1 satellite), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 49–51.

Kovalev A. V., Suhovol’skij V. G., Vyyavlenie ochagov vspyshek hvoegryzushchih nasekomyh Sibiri po dannym DZZ (Identification of outbreaks of needle-eating insects in Siberia using remote sensing data), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 51–52.

Kotel’nikov R. V., Ispol’zovanie servisov Yandex Cloud dlya interaktivnoj obrabotki i vizualizacii lesopozharnoj informacii (Using Yandex Cloud services for interactive processing and visualization of forest fire information), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 54–56.

Makurin D. V., Polevshchikova Yu. A., Shevelev D. A., Ivanina L. A., Opyt distancionnogo monitoringa lesov Permskogo kraya sredstvami regional’noj gosudarstvennoj informacionnoj sistemy «Umnyj les» (Experience of remote monitoring of forests in the Perm region using the regional state information system «Smart Forest»), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 61–62.

Malysheva N. V., Zolina T. A., Filipchuk A. N., Sil’nyagina G. V., Geostatisticheskij metod ocenki pokazatelej biologicheskoj produktivnosti po dannym gosudarstvennoj inventarizacii lesov (Geostatistical method for assessing biological productivity indicators based on state forest inventory data), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 63–64.

Matelenok I. V., Semenov D. A., Vozmozhnosti avtomatizirovannoj ocenki polozheniya stvolov molodyh derev’ev po dannym nazemnogo lazernogo skanirovaniya (Possibilities of automated assessment of the position of young tree trunks using terrestrial laser scanning data), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 64–66.

Nikitina A. D., Perekhod ot vizual’nogo deshifrirovaniya k Mask R-CNN: ocenka soglasovannosti v opredelenii harakteristik sosnovyh lesov (Transition from visual interpretation to Mask R-KNN: assessing consistency in characterization of pine forests), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 70–71.

Podol’skaya E. S., Kokurkin A. D., Rezul’taty testirovaniya arhitektur nejrosetej dlya raspoznavaniya dorog (Test results of the neural network architecture for road recognition), Regional’nye problemy distancionnogo zondirovaniya Zemli: materialy XI Mezhdunarodnoj nauchnoj konferencii (Regional problems of remote sensing of the Earth: Proceedings of the HI International Scientific Conference), Krasnoyarsk: SFU, 2024, рр. 323–326.

Podol’skaya E. S., Shajahmetov A. R., Sovremennye nejroseti dlya raspoznavaniya ob”ektov infrastruktury lesnogo hozyajstva (Modern neural networks for recognizing forestry infrastructure objects), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 78–80.

Pushkin A. A., Kocan V. V., Il’yuchik M. A., Geoservis ocenki sostoyaniya hvojnyh lesnyh nasazhdenij i prognoza pozharnoj opasnosti zemel’ lesnogo fonda na osnove dannyh kosmicheskoj s”emki (Geoservice for assessing the condition of coniferous forest stands and forecasting fire hazard in forest lands based on satellite imagery), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 81–83.

Sidorenkov V. M., Kapitalinin D. Yu., Achikolova Yu. S., Astapov D. O., Ryabcev O. V., Osobennosti lesotaksacionnogo deshifrirovaniya gornyh lesov (Features of forest inventory interpretation of mountain forests), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 84–86.

Sochilova E. N., Ershov D. V., Koroleva N. V., Metod i rezul’taty geoprostranstvennogo modelirovaniya zapasov stvolovoj drevesiny na osnove kombinacii nazemnyh dannyh i sputnikovyh produktov vysokogo prostranstvennogo razresheniya na primere lesov Kostromskoj oblasti (Method and results of geospatial modeling of trunk wood reserves based on a combination of ground-based data and high-spatial-resolution satellite products using the example of forests in the Kostroma region), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 90–91.

Suhovol’skij V. G., Kovalev A. V., Formirovanie ochagov vspyshek lesnyh nasekomyh: vid sverhu (Formation of forest insect outbreaks: a top view), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 93–94.

Tarasenko V. V., Raevskij B. V., Issledovanie sovremennogo sostoyaniya i dinamiki rastitel’nogo pokrova arhipelaga Tulolansari (nacional’nyj park «Ladozhskie shkhery») (A study of the current state and dynamics of the vegetation cover of the Tululansari archipelago (Ladoga Skerries National Park)), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 95–96.

Tihonov D. N., Belova E. I., Ershov D. V., Ocenka zapasov ugleroda v drevostoe zarastayushchih sel’skohozyajstvennyh polej na osnove dannyh bespilotnoj aerofotos”emki, vozdushnogo lazernogo skanirovaniya i opticheskih sputnikovyh snimkov na primere Cherepoveckogo rajona Vologodskoj oblasti (Estimation of carbon reserves in forest stands of vegetative agricultural fields based on unmanned aerial photography, airborne laser scanning and optical satellite imagery data using the example of Cherepovets District, Vologda Oblast), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 96–98.

Tihonova E. V., Gornov A. V., Ershov D. V., Belova E. I., Tihonov D. N., Gavrilyuk E. A., Nikitina A. D., Naumkin A. A., Titovec A. V., Kol’cov D. B., Dinamika porodnogo sostava lesov Kilemarskogo uchastka nacional’nogo parka «Nizhegorodskoe Povolzh’e» po dannym nazemnyh issledovanij i DZZ (Dynamics of the species composition of forests in the Kilemarsky section of the Nizhny Novgorod Volga Region National Park based on ground-based research and remote sensing data), IX Vserossijskaya (s mezhdunarodnym uchastiem) nauchnaya konferenciya «Aerokosmicheskie metody i geoinformacionnye tekhnologii v lesovedenii, lesnom hozyajstve i ekologii» (IX All-Russian (with international participation) scientific conference «Aerospace methods and geoinformation technologies in forest science, forestry and ecology»), рр. 98–100.

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15 января 2026 года исполняется 90 лет Виктору Николаевичу Федорчуку, кандидату биологических наук, замечательному русскому лесоводу и геоботанику, занимающемуся всю свою жизнь исследованиями лесов средней и южной тайги Европейской России. Им опубликовано около двухсот научных работ, посвященных классификации лесов Северо-Запада России, включая две основательных монографии по классификации и характеристике лесных экосистем, включая заповедные участки тайги в этой части страны (Федорчук и др., 2005[1], 2012[2]). Виктор Николаевич, пожалуй, единственный геоботаник, успешно работающий всю свою жизнь строго по методике Л. Г. Раменского. Совместно с С. А. Дыренковым он принимал активное участие в организации национального парка (ранее ООПТ) «Вепсский лес» с обширной территорией нетронутой средней тайги и абсолютно-разновозрастными лесами на востоке Ленинградской области. Здесь уже более полувека ведутся исследования, результаты которых публиковались и докладывались на научных конференциях.

Отличительными чертами Виктора Николаевича являются доброжелательность, трудолюбие и скромность. Его уникальная деликатность в сочетании с достоинством вызывают уважение. Его огромное трудолюбие, тщательная проработка больших массивов первичных материалов также всегда вызывали у его коллег чувство глубокого уважения, иногда на грани изумления.

Интенсивная научная деятельность Виктора Николаевича всегда сочеталась у него с поэтическим творчеством. Говоря высоким слогом, он певец русского леса. И не только, его стихи о жизни и войне трогают до глубины души. Им опубликовано около двух десятков сборников стихов в различных издательствах Ленинграда / Санкт-Петербурга. Он блокадник (в статусе ветерана Великой отечественной войны), ребенок, выживший в блокадном городе в то тяжелое время.

Пожелаем же Виктору Николаевичу здоровья, душевного комфорта и продолжения жизни в творчестве!

 [1] Федорчук В. Н., Нешатаев В. Ю., Кузнецова М. Л. Лесные экосистемы северо-западных районов России. Типология, динамика, хозяйственные особенности / Отв. ред. О. Г. Чертов. СПб: Санкт-Петербургский НИИ лесн. хоз-ва. 2005. 381 с.

[2] Федорчук В. Н. Шорохов А. А., Шорохова Е. В., Кузнецова М. Л., Тетюхин С. В. Массивы коренных еловых лесов: структура, динамика, устойчивость – Pristine spruce dominated forest landscapes: structure, dynamics, stability / Отв. ред. В. Н. Федорчук. Мин. природных ресурсов и экологии, Федеральное агентство лесного хоз-ва, Федеральное бюджетное учреждение «Санкт-Петербургский НИИ лесного хоз-ва». Санкт-Петербург: Изд-во Политехнического ун-та. 2012. 135 с.

Чертов О.Г.  –  д.б.н., главный научный сотрудник Центра по проблемам экологии и продуктивности лесов им. А.С. Исаева РАН

Е-mail: ochertov@rambler.ru

V. I. Kravtsova, M. V. Zimin, E. R. Chalova

Lomonosov Moscow State University, Faculty of Geography

Leninskie Gory 1 bldg. 12, Moscow, 119234, Russian Federation

E-mail: valentinamsu@yandex.ru

Received: 02.06.2025

Revised: 08.11.2025

Accepted: 04.12.2025

Oil field development in forested areas has a significant impact on forests. Field development involves clearing the area for oil production sites, creating facilities for primary oil processing, and pipelines for its transportation. Oil production development at an already developed field is associated with oil losses during accidents at production sites and oil pipelines and vegetation degradation at oil spill sites. Both aspects — forest area reduction and vegetation degradation in oil production areas — determine the relevance of their research using space images. The work is based on the example of a site at the Samotlor field in Western Siberia. The research material is modern space images from the WorldView-3 satellite in 2019 and 2022, and a 1980 general topographic map. Research methods include determining forest areas using the 1980 map and 2019 images; interpreting oil spills using space images. obtaining spectral radiance graphs for areas with different types of degraded vegetation within spills and for similar types of vegetation outside spills, in natural conditions, using images obtained in the year of the spill and three years later. As a result, 3-fold reduction in the forest area of the study area since 1980 was revealed. The spectral radiance curves of degraded vegetation obtained from WorldView-3 images, compared to natural vegetation, are characterized by a decrease in the NIR1 maximum of up to 60% for shrub vegetation and up to 80% for forest vegetation. A repeat survey three years later showed a decrease in these differences, recording partial natural restoration of vegetation.

Кeywords: anthropogenic impact, oil spills, forest degradation, self-healing, satellite images

REFERENCES

Abrosimov A. V., Belenov A. V., Bragin E. A., Sovmestnyj proekt kompanii «Sovzond» i NAC RP im. V. I. Shpil’mana – novoe slovo v kosmicheskom kontrole nedropol’zovanija i prirodopol’zovanija (A joint project of the Sovzond company and the Shpilman NAC for RP is a new word in space control of subsurface use and environmental management), Geomatika, 2009, No 4, pp. 64–80.

Achard V., Fabre S., Alakian A., Dubucq D., Deliot P., Direct or indirect on shore hydrocarbon detection methods applied to hyperspectral data in tropical area, Earth Resources and Environmental Remote Sensing/GIS Applications IX. SPIE, 2018, Vol. 10790, pp. 172–181, DOI: 10.1117/12.2325097

Arellano P., Tansey K., Balzter H., Boyd D. S., Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images, Environmental Pollution, 2015, Vol. 205, pp. 225–239, DOI: 10.1016/j.envpol.2015.05.041

Astapov A. P., Braduchan Ju. V., Borovskij V. V., Voronin A. S. et al. Gosudarstvennaja geologicheskaja karta Rossijskoj Federacii. Masshtab 1:1000 000 (tret’e pokolenie), Serija Zapadno-Sibirskaja, List R-43-Surgut, Ob’jasnitel’naja zapiska, (State geological map of the Russian Federation at a scale 1:1000,000 (third generation), West Siberian series, Sheet R-43-Surgut. Explanatory note, Sankt-Peterburg, Kartfabrika VSEGEI, 2012, 342 pp.

Chizhov B. E., Les i neft’ Hanty-Mansijskogo avtonomnogo okruga (Timber and oil of Khanty-Mansiysk Autonomous Okrug), Tjumen’: Izd-vo Mandriki, 1998, 144 p.

Cloutis E. A., Spectral reflectance properties of hydrocarbons: remote-sensing implications, Science, 1989,  No. 245, pp. 165–168, DOI: 10.1126/science.245.4914.165

Horig B., Kuhn F., Oschutz F., Lehmann F., HyMap hyperspectral remote sensing to detect hydrocarbons, International journal of remote sensing, 2001, Vol. 22, pp. 1413–1422, DOI: 10.1080/01431160120909

Kazanceva M. N., Vlijanie neftjanogo zagrjaznenija na taezhnye fitocenozy Srednego Priob’ja (Influence of oil pollution on taiga phytocenoses of the Middle Ob region), Avtoref. diss. kand. biol. nauk: 03.00.16, Ekaterinburg, 1994, 26 p.

Kosmicheskie metody geojekologii (Space methods of geoecology), Moscow, Izd-vo Mosk. un-ta, 1998, 104 p.

Kravcova V. I., Zimin M. V., Issledovanie jevoljucii uchastkov neftjanyh razlivov po kosmicheskim snimkam vysokogo razreshenija na primere Samotlorskogo mestorozhdenija (Investigation of the evolution of oil spill sites based on high-resolution satellite images using the example of the Samotlor field), Aktual’nye problemy nefti i gaza, 2023, Vol. 1, No 40, 2023, pp. 45–66.

Kühn F., Oppermann K., Hörig B., Hydrocarbon Index – an algorithm for hyperspectral detection of hydrocarbons, International Journal of Remote Sensing, 2004, Vol. 25, pp. 2467–2473, DOI: 10.1080/01431160310001642287

Lassalle G., Elger A., Credoz A., Hedacq R., Bertoni G., Dubucq D., Fabre S., Toward quantifying oil contamination in vegetated areas using very high spatial and spectral resolution imagery, Remote Sensing, 2019, Vol. 11, No 19, p. 2241, DOI: 10.3390/rs11192241

Moskalenko N. G., Antropogennaja dinamika rastitel’nosti tundr i taezhnyh zon (Anthropogenic dynamics of vegetation of tundra and taiga zones). In: Antropogennye izmenenija jekosistem Zapadno-Sibirskoj gazonosnoj provincii (Anthropogenic changes in ecosystems of the West Siberian gas-bearing province), Tyumen: In-t kriosfery Zemli, 2006, pp. 61–96.

Moskovchenko D. V., Neftegazodobycha i okruzhajushhaja sreda. Jekologo-geohimicheskij analiz Tjumenskoj oblasti (Oil and gas production and the environment. Ecological and geochemical analysis of the Tyumen region), Novosibirsk, Nauka, Sibpredprijatie RAN, 1998, 112 p.

Nacional’nyj atlas Rossii (National Atlas of Russia), Vol. 2, Priroda. Jekologija (Nature. Ecology), Moscow, 2007, p. 331.

Ovechkina E. S., Kratkij analiz raspredelenija rastitel’nosti Nizhnevartovskogo rajona (A brief analysis of the distribution of profits in the Nizhnevartovsk District), Aktual’nye voprosy nauki i praktiki XXI v. (Current issues of science and practice in the 21st century), Proceedings of the 3rd International Scientific and Practical Conference, Nizhnevartovsk, November 27-30, 2016. Nizhnevartovsk: Nauka i praktika, 2016, pp. 110–117.

Ozigis M. S., Kaduk J. D., Jarvis C. H., Mapping terrestrial oil spill impact using machine learning random forest and Landsat 8 OLI imagery: a case site within the Niger Delta region of Nigeria, Environmental Science and Pollution Research, 2019, Vol. 26, No 4, pp. 3621–3635, DOI: 10.1007/s11356-018-3824-y

Pizhankov I. N., Har’kina M. A., Pizhankova E. I., Tehnogennaja transformacija jekologo-geologicheskih uslovij pri razrabotke neftjanyh mestorozhdenij i transportirovke nefteproduktov (na primere uchastka Neftejuganskogo rajona, Zapadnaja Sibir’) (Technogenic transformation of ecological and geological conditions during the development of oil fields and transportation of petroleum products (on the example of the site of the Nefteyugansk region, Western Siberia)), Tehnosfera (Technosphere), Proceedings of the 1st All-Russian Scientific Conference with International Participation «Technosphere» (September 17-18, 2024), FGBOU VO «KubGTU», Krasnodar, Izdatel’skij Dom – Jug, 2024, pp. 134–137.

Podkoshnikova S. V., Sushchenya V. A., Izmeneniye rastitel’nosti bolota Samotlora pod vliyaniyem inzhenernykh sooruzheniy (Changes in the vegetation of Samotlor swamps under the influence of engineering structures), Izvestia AN SSSR. Seriya geograficheskaya, 1981, No 4, pp. 47–56.

Skarjatin V. D., Tihomirova O. M., Ispol’zovanie i obrabotka dannyh distancionnogo zondirovanija pri izuchenii nefte- i gazonosnyh rajonov Zapadnoj Sibiri (The use and processing of remote sensing data in the study of oil and gas-bearing regions of Western Siberia), In: Ajerokosmicheskij monitoring ob”ektov neftegazovogo kompleksa (Aerospace monitoring of oil and gas facilities), Moscow, Nauchnyj mir, 2012, pp. 435–441.

Soromotin A. V., Vozdejstvie dobychi nefti na taezhnye jekosistemy Zapadnoj Sibiri (The impact of oil production on the taiga ecosystems of Western Siberia), Tjumen’: TGU, 2010, 320 p.

Zubajdullin A. A., Samovosstanovlenie narushennyh fitocenozov na neftezagrjaznennyh uchastkah suhodolov i verhovyh bolot (Self-healing of disturbed phytocenoses in oil-polluted areas of dry lands and upland marshes), Nauka i obrazovanie HMAO – XXI veku (Science and education of Khanty–Mansi Autonomous Okrug – XXI century), Collection of abstracts of District Conference of Young Scientists and Specialists. Surgut, SurSU, 2000, pp. 23–26.

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