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		<title>PHYTOMASS AND CARBON POOLS OF SPRUCE PHYTOCENOSIS IN RUSSIA AND EUROPEAN COUNTRIES</title>
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					<description><![CDATA[          N. S. Ryabov   Institute of North Industrial Ecology Problems of the KSC RAS Akademgorodok, 14A, Apatity 184209, Russian Federation  E-mail: n.ryabov@ksc.ru Received 23.05.2026 Revised: 18.06.2026 Accepted: 22.06.2026 Global&#46;&#46;&#46;]]></description>
										<content:encoded><![CDATA[<p><a style="color: #000000;" href="http://jfsi.ru/wp-content/uploads/2026/07/9-2-2026-Ryabov.pdf"><img loading="lazy" class="size-full wp-image-1122 alignright" src="http://jfsi.ru/wp-content/uploads/2018/10/pdf.png" alt="" width="32" height="32" /></a></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>          N. </strong></span><strong style="font-family: 'times new roman', times, serif;">S. Ryabov</strong></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong> </strong></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>Institute of North Industrial Ecology Problems of the KSC RAS</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>Akademgorodok, 14A, Apatity 184209, Russian Federation</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em> </em></span><span style="font-family: 'times new roman', times, serif;">E-mail: n.ryabov@ksc.ru</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Received 23.05.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Revised: 18.06.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Accepted: 22.06.2026</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Global climate change, directly linked to continuously rising concentrations of greenhouse gases, necessitates the refinement and updating of our understanding of the climate-regulating role of forest ecosystems. Phytomass – including standing trees, undergrowth and understory, and forest floor vegetation – plays an important role in the global carbon cycle through its capacity to absorb atmospheric carbon and provide long-term carbon storage. This article provides a review of available data on phytomass and phytomass carbon stocks in spruce forests of Russia and several European countries. Using the Murmansk region as a case study, we examine the key characteristics and critical factors influencing the spatial distribution and formation of phytomass carbon pools. We further articulate the rationale for comprehensive research on the productivity and carbon allocation within the main phytomass pools of spruce phytocenoses.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong><em>К</em></strong><strong><em>eywords</em></strong><em>: </em><em>carbon stocks, biomass, forest phytocenoses, spruce forests, northern taiga, Murmansk region, Arctic</em></span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em> </em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>REFERENCES</strong></span></p>
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		<title>COMPARATIVE ASSESSMENT OF THE DECOMPOSITION RATE OF PLANT LITTER IN MIDDLE-TAIGA SPRUCE FORESTS AND IN CLEAR-CUT AREAS</title>
		<link>https://jfsi.ru/en/9-2-2026-likhanova/</link>
		
		<dc:creator><![CDATA[lena]]></dc:creator>
		<pubDate>Fri, 31 Jul 2026 09:06:09 +0000</pubDate>
				<category><![CDATA[№2 2026]]></category>
		<guid isPermaLink="false">https://jfsi.ru/?p=8366</guid>

					<description><![CDATA[            N. V. Likhanova                 Syktyvkar forest institute Lenin st. 39, Syktyvkar, Komi Republic 167982, Russian Federation  E-mail: lihanad@mail.ru Received: 01.06.2026 Revised:&#46;&#46;&#46;]]></description>
										<content:encoded><![CDATA[<p><a style="color: #000000;" href="http://jfsi.ru/wp-content/uploads/2026/07/9-2-2026-Likhanova.pdf"><img loading="lazy" class="size-full wp-image-1122 alignright" src="http://jfsi.ru/wp-content/uploads/2018/10/pdf.png" alt="" width="32" height="32" /></a></p>
<p style="text-align: center;"><strong style="font-family: 'times new roman', times, serif;">            N. V. Likhanova</strong></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>               </strong></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>Syktyvkar forest institute</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>Lenin st. 39, Syktyvkar, </em><em>Komi Republic</em><em> 167982, Russian Federation</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em> </em></span><span style="font-family: 'times new roman', times, serif;">E-mail: lihanad@mail.ru</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Received: 01.06.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Revised: 08.06.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Accepted: 10.06.2026</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">The presented work provides an assessment of the rate of decomposition of plant litter in middle-taiga spruce forests of the moist bilberry type and the polytric-sphagnum type, as well as in 4–6-year-old clear-cut areas in the Republic of Komi. The features of the component composition of plant litter and its chemical transformations during decomposition in spruce forests and clear-cut areas were studied. It was found that in spruce forests litter from woody plants predominates (76–84%), whereas in clear-cut areas there is a replacement of woody plant litter (11–12%) by litter from ground vegetation (88–89%). The total litter stock in clear-cut areas naturally decreases to 3.1–3.6 t ha<sup>-1</sup> year<sup>-1</sup>. The chemical composition of litter shows species-specific characteristics. One-year-old spruce needles actively accumulate nitrogen, potassium, and phosphorus, while with increasing age the concentrations of calcium, silicon, manganese, and aluminum increase. Pine needles are characterized by higher potassium content and lower nitrogen and phosphorus content, and they are richer in calcium, silicon, manganese, and aluminum. Birch leaves exceed needles in the content of most macro- and microelements. Among ground vegetation species, bilberry (<em>Vaccinium myrtillus</em>) is characterized by high nitrogen and calcium content, herbaceous plants are characterized by higher potassium and silicon content, mosses – by potassium and magnesium content. The decrease in the content of key nutrient elements in plant litter at the final stages of ontogenesis reflects a slowdown in metabolic processes. It was noted that the chemical composition of spruce needles differs significantly depending on growing conditions (spruce forests vs. clear-cut areas), which may contribute to increased differentiation. The results show that, despite generally low mineralization rates, the decomposition of plant litter proceeds more intensively in cutting areas between skidding roads than in spruce forests. This is associated with altered abiotic conditions and the predominance of ground vegetation litter. The study reveals patterns of plant litter transformation in disturbed ecosystems and emphasizes the need for further research to fully understand the dynamics of organic matter decomposition and forest floor formation in clear-cut spruce forest areas.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong><em>Keywords</em></strong><em>: </em><em>middle taiga, spruce forests, clear-cutting, plant residues, quality of litter, decomposition of litter</em></span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em> </em></span><span style="font-family: 'times new roman', times, serif;"><em> </em></span></p>
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		<title>SELECTION OF PLANTING MATERIAL FOR CREATION OF FOREST CROPS AT INTENSIFICATION OF FOREST REPRODUCTION</title>
		<link>https://jfsi.ru/en/9-2-2026-gorbunovakorchagov/</link>
		
		<dc:creator><![CDATA[lena]]></dc:creator>
		<pubDate>Fri, 31 Jul 2026 08:36:44 +0000</pubDate>
				<category><![CDATA[№2 2026]]></category>
		<guid isPermaLink="false">https://jfsi.ru/?p=8361</guid>

					<description><![CDATA[          S. V. Gorbunova*, S. A. Korchagov &#160;    Northern Research Institute of Forestry Nikitova st., 13, Arkhangelsk 163062, Russian Federation *E-mail: svetlana.bobushkina@sevniilh-arh.ru Received 09.06.2026 Revised: 17.06.2026 Accepted: 22.06.2026 &#160; Low&#46;&#46;&#46;]]></description>
										<content:encoded><![CDATA[<p><a style="color: #000000;" href="http://jfsi.ru/wp-content/uploads/2026/07/9-2-2026-Gorbunova-Korchagov.pdf"><img loading="lazy" class="size-full wp-image-1122 alignright" src="http://jfsi.ru/wp-content/uploads/2018/10/pdf.png" alt="" width="32" height="32" /></a></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>          S. </strong><strong>V. Gorbunova<sup>*</sup>, S. A. Korchagov</strong></span></p>
<p>&nbsp;</p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>   Northern Research Institute of Forestry</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>Nikitova st., 13, Arkhangelsk 163062, Russian Federation</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><sup>*</sup>E-mail: svetlana.bobushkina@sevniilh-arh.ru</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Received 09.06.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Revised: 17.06.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Accepted: 22.06.2026</span></p>
<p>&nbsp;</p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Low productivity, decline of resource and ecological potential of forests prompts to search for ways to overcome this state of the forest sector of the Russian Federation. One step in this direction is the intensification of reforestation. In our country, the use of containerized seedlings is increasing with artificial forest restoration. Despite some advantages of containerized planting stock over traditional, there is mixed feedback on the effectiveness of growing ball-rooted seedlings in various conditions. In addition, it is more expensive than seedlings with a bare root system. The purpose of the study is a comparative assessment of planting material for reforestation during the intensification of forest management. To achieve this, a bibliometric analysis was carried out, special attention was paid to the preservation, growth, condition of forest crops created from different types of planting material, as well as factors affecting these indicators in the regions of the country. The objects of pine forest cultures in the Arkhangelsk region were examined. The average diameter and height were determined, as well as the survivability and preservation of plantings created by various planting materials according to generally accepted methods. In Buryatia and the Altai Territory, chemotropism had a negative effect on the survival of containerized seedlings, and in Tatarstan, the heavy granulometric composition of soils. In the Kirov region, Belarus, and the Republic of Mari El, the values of survival and biometric parameters of forest crops from containerized seedlings and traditional ones are close. At the same time, in Karelia, on untreated soil, traditional seedlings were superior in all respects to plants with a closed root system, and on a site with prepared soil, ball-rooted seedlings were in the lead under the same conditions. In addition to the type of planting material, according to the results of research in the Altai Territory, the Republic of Buryatia, Tatarstan, Voronezh, Kirov regions, the Republics of Mari El and Karelia, a significant impact on the success of soil preparation crops, the quality of planting work and the planting material itself, climatic conditions, especially in the year of planting. Our research proves the above. In addition, the negative effects of vegetation growth with deciduous rocks, damage by herbaceous animals, snowman and snowball have been noted. Thus, when planning reforestation work in intensive forestry, a significant set of factors must be considered, contrary to the advantages of containerized seedlings over traditional ones, in extreme soil and weather conditions, its survivability can be significantly reduced.</span></p>
<p><span style="font-family: 'times new roman', times, serif;"><strong><em>К</em></strong><strong><em>eywords:</em></strong> <em>forest crops, </em><em>ball-rooted planting stock, seedlings, saplings, pine,</em> <em>intensification of reforestation</em></span></p>
<p>&nbsp;</p>
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		<title>CARBON STOCKS IN SOILS OF PROTECTIVE FORESTS OF THE REPUBLIC OF BASHKORTOSTAN</title>
		<link>https://jfsi.ru/en/9-2-2026-baiturina_et_al/</link>
		
		<dc:creator><![CDATA[lena]]></dc:creator>
		<pubDate>Fri, 31 Jul 2026 08:17:04 +0000</pubDate>
				<category><![CDATA[№2 2026]]></category>
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					<description><![CDATA[R. R. Baiturina*, L. R. Salimyanova, A. N. Khasanov         Bashkir State Agrarian University 50-letiya Oktyabrya St., 34, Ufa 450001, Russian Federation  *E-mail: aspirant_bsau@mail.ru Received: 06.04.2026 Revised: 11.06.2026 Accepted: 19.06.2026 The&#46;&#46;&#46;]]></description>
										<content:encoded><![CDATA[<p><a style="color: #000000;" href="http://jfsi.ru/wp-content/uploads/2026/07/9-2-2026-Baiturina_et_al.pdf"><img loading="lazy" class="size-full wp-image-1122 alignright" src="http://jfsi.ru/wp-content/uploads/2018/10/pdf.png" alt="" width="32" height="32" /></a></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>R. R. Baiturina<sup>*</sup>, L. R. Salimyanova, A. N. Khasanov</strong></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>      </em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>  Bashkir State Agrarian University<br />
50-letiya Oktyabrya St., 34, Ufa 450001, Russian Federation</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em> </em></span><span style="font-family: 'times new roman', times, serif;"><sup>*</sup>E-mail: aspirant_bsau@mail.ru</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Received: 06.04.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Revised: 11.06.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Accepted: 19.06.2026</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em>The article provides quantitative estimates of organic carbon stocks in the soils and forest litter of protective forests in the Republic of Bashkortostan. </em>The aim of the study is to quantify carbon pools in soils and forest litter of the main forest-forming species in the region. The research objects were stands of the Dmitrievskoe and Ufa Forest Districts dominated by small-leaved lime, silver birch, aspen, Siberian larch and common ash. Field sampling and laboratory analysis revealed that soil organic carbon stocks range from 3.4 kg C m<sup>&#8211;</sup>² (light gray forest soils) to 16.4 kg C m<sup>&#8211;</sup>² (dark gray forest soils). Dark gray forest soils and chernozems accumulate more than 80% of the total carbon stock in the forest district. Forest soils accumulate 17.8% more carbon compared to similar soils in non-forested areas. Forest litter contributes significantly to the carbon balance: maximum stocks were recorded in larch stands (7.3 t C ha<sup>-1</sup>), minimum – in ash-dominated stands (3.78 t C ha<sup>-1</sup>). The removal of forest litter was experimentally proven to lead to a statistically significant decrease in humus content in the upper 10-cm layer by 34% and a twofold reduction in earthworm abundance. The study confirms the key role of forest ecosystems, especially mature forests on fertile soils, in carbon sequestration and emphasizes the need to preserve forest litter as a crucial component of the carbon pool. The obtained data are of practical importance for the development of regional forest management programs aimed at mitigating climate change impacts.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong><em>Keywords:</em></strong><em> soil organic carbon, forest litter, carbon balance, protective forests, urban forests, soil fertility, Republic of Bashkortostan, carbon sequestration.</em></span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em> </em></span></p>
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<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em> </em></span></p>
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		<title>CHANGES IN THE STATE OF BILBERRY (VACCINIUM MYRTILLUS L.) DURING POST-HARVEST SUCCESSION IN THE MIDDLE TAIGA FORESTS OF KARELIA</title>
		<link>https://jfsi.ru/en/9-2-2026-amiralievagenikova/</link>
		
		<dc:creator><![CDATA[lena]]></dc:creator>
		<pubDate>Fri, 31 Jul 2026 08:02:44 +0000</pubDate>
				<category><![CDATA[№2 2026]]></category>
		<guid isPermaLink="false">https://jfsi.ru/?p=8348</guid>

					<description><![CDATA[                L. V. Amiralieva, N. V. Genikova* &#160;  The Forest Research Institute of Karelian Research Centre of the Russian Academy of Sciences Pushkinskaya st. 11, Petrozavodsk, Republic&#46;&#46;&#46;]]></description>
										<content:encoded><![CDATA[<p><a style="color: #000000;" href="https://jfsi.ru/wp-content/uploads/2026/08/9-2-2026-AmiralievaGenikova.pdf"><img loading="lazy" class="alignright wp-image-1122 size-full" src="http://jfsi.ru/wp-content/uploads/2018/10/pdf.png" alt="" width="32" height="32" /></a></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>                L. </strong></span><strong style="font-family: 'times new roman', times, serif;">V. Amiralieva, N. V. Genikova<sup>*</sup></strong></p>
<p>&nbsp;</p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong> </strong></span><span style="font-family: 'times new roman', times, serif;"><em>The Forest Research Institute of Karelian Research Centre of the Russian Academy of Sciences Pushkinskaya st. 11, Petrozavodsk, Republic of Karelia 185910, Russian Federation</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><sup>*</sup>E-mail: genikova@krc.karelia.ru</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Received 05.05.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Revised: 11.06.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Accepted: 18.06.2026</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">This article presents the results of a study on the morphological parameters of common bilberry (<em>Vaccinium myrtillus</em> L.) and the content of photosynthetic pigments (chlorophyll <em>a</em>, chlorophyll <em>b</em>) in its leaves within plant communities at different stages of secondary succession after clearcutting (clearcut, maturing forest, overmature forest). The research was conducted in the middle taiga subzone. Forest edges, as transitional areas between clearcuts and maturing forests, were additionally investigated. On 19 sample plots, the measurements of illumination and photosynthetic photon flux density (PPFD) of photosynthetically active radiation (PAR) were carried out, bilberry projective cover was assessed, and the maximum shoot height was measured. The content of photosynthetic pigments in bilberry leaves was determined. The illumination and PAR levels, measured in clear and cloudy weather, decreased along the gradient: clearcut – forest edge – forest community. The lowest projective cover and shoot height of the dwarf shrub were recorded on the clearcut and forest edge, while the highest values were found under the forest canopy. The content of photosynthetic pigments (chlorophyll <em>a</em>, chlorophyll <em>b</em>) in bilberry leaves was minimal under the most illuminated conditions of the clearcut and forest edge and differed significantly from the conditions under the canopy of maturing and overmature forests.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong><em>Keywords</em></strong><em>:</em> <em>projective cover, shoot height, photosynthetic pigments, illumination, PAR, clearcut, forest edge</em></span></p>
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<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong> </strong></span></p>
<p style="text-align: justify;">
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		<title>No 2, 2025</title>
		<link>https://jfsi.ru/en/2-2026/</link>
		
		<dc:creator><![CDATA[lena]]></dc:creator>
		<pubDate>Fri, 31 Jul 2026 06:48:35 +0000</pubDate>
				<category><![CDATA[Архив]]></category>
		<guid isPermaLink="false">https://jfsi.ru/?p=8335</guid>

					<description><![CDATA[&#160; Review articles N. S. Ryabov PHYTOMASS AND CARBON POOLS OF SPRUCE PHYTOCENOSIS IN RUSSIA AND EUROPEAN COUNTRIES Original research L. V. Amiralieva, N. V. Genikova CHANGES IN THE STATE OF BILBERRY (VACCINIUM MYRTILLUS&#46;&#46;&#46;]]></description>
										<content:encoded><![CDATA[<div id="attachment_8337" style="width: 550px" class="wp-caption aligncenter"><img aria-describedby="caption-attachment-8337" loading="lazy" class="size-full wp-image-8337" src="https://jfsi.ru/wp-content/uploads/2026/07/Обложка-ВЛН-2026-2-ENG.jpg" alt="Вопросы лесной науки" width="540" height="780" srcset="https://jfsi.ru/wp-content/uploads/2026/07/Обложка-ВЛН-2026-2-ENG.jpg 540w, https://jfsi.ru/wp-content/uploads/2026/07/Обложка-ВЛН-2026-2-ENG-208x300.jpg 208w, https://jfsi.ru/wp-content/uploads/2026/07/Обложка-ВЛН-2026-2-ENG-104x150.jpg 104w" sizes="(max-width: 540px) 100vw, 540px" /><p id="caption-attachment-8337" class="wp-caption-text">No2 2026</p></div>
<p>&nbsp;</p>
<h2><span style="font-family: 'times new roman', times, serif;"><strong><span style="color: #000000;">Review articles</span></strong></span></h2>
<p style="font-weight: 400;"><span style="font-family: 'times new roman', times, serif;"><strong>N. S. Ryabov</strong></span></p>
<p style="font-weight: 400;"><strong><a href="#"><span style="font-family: 'times new roman', times, serif;">PHYTOMASS AND CARBON POOLS OF SPRUCE PHYTOCENOSIS IN RUSSIA AND EUROPEAN COUNTRIES</span></a></strong></p>
<h2><span style="font-family: 'times new roman', times, serif;"><strong><span style="color: #000000;">Original research</span></strong></span></h2>
<p style="font-weight: 400;"><span style="font-family: 'times new roman', times, serif;"><strong>L. V. Amiralieva, N. V. Genikova</strong></span></p>
<p style="font-weight: 400;"><strong><a href="https://jfsi.ru/en/9-2-2026-amiralievagenikova/"><span style="font-family: 'times new roman', times, serif;">CHANGES IN THE STATE OF BILBERRY (VACCINIUM MYRTILLUS L.) DURING POST-HARVEST SUCCESSION IN THE MIDDLE TAIGA FORESTS OF KARELIA</span></a></strong></p>
<p style="font-weight: 400;"><span style="font-family: 'times new roman', times, serif;"><strong>R. R. Baiturina, L. R. Salimyanova, A. N. Khasanov</strong></span></p>
<p style="font-weight: 400;"><strong><a href="https://jfsi.ru/en/9-2-2026-baiturina_et_al/"><span style="font-family: 'times new roman', times, serif;">CARBON STOCKS IN SOILS OF PROTECTIVE FORESTS OF THE REPUBLIC OF BASHKORTOSTAN</span></a></strong></p>
<p style="font-weight: 400;"><span style="font-family: 'times new roman', times, serif;"><strong>S. V. Gorbunova, S. A. Korchagov</strong></span></p>
<p style="font-weight: 400;"><strong><a href="https://jfsi.ru/en/9-2-2026-gorbunovakorchagov/"><span style="font-family: 'times new roman', times, serif;">SELECTION OF PLANTING MATERIAL FOR CREATION OF FOREST CROPS AT INTENSIFICATION OF FOREST REPRODUCTION</span></a></strong></p>
<p style="font-weight: 400;"><span style="font-family: 'times new roman', times, serif;"><strong>N. V. Likhanova</strong></span></p>
<p style="font-weight: 400;"><strong><a href="https://jfsi.ru/en/9-2-2026-likhanova/"><span style="font-family: 'times new roman', times, serif;">COMPARATIVE ASSESSMENT OF THE DECOMPOSITION RATE OF PLANT LITTER IN MIDDLE-TAIGA SPRUCE FORESTS AND IN CLEAR-CUT AREAS</span></a></strong></p>
<p style="font-weight: 400;"><span style="font-family: 'times new roman', times, serif;"><strong>E. P. Gudkova, E. E. Muchnik</strong></span></p>
<p style="font-weight: 400;"><strong><span style="font-family: 'times new roman', times, serif;">LICHEN BIOTA OF THE PRIOKSKO-TERRASNY STATE NATURE RESERVE (MOSCOW REGION, RUSSIA)</span></strong></p>
<h2><span style="font-family: 'times new roman', times, serif; color: #000000;"><strong>Discussions</strong></span></h2>
<p style="font-weight: 400;"><span style="font-family: 'times new roman', times, serif;"><strong>V. I. Arkhipov</strong></span></p>
<p style="font-weight: 400;"><strong><span style="font-family: 'times new roman', times, serif;">THE UNIFIED SYSTEM OF FOREST INVENTORY WORKS OF THE RUSSIAN FEDERATION: A CONCEPTUAL MODEL, THREE-PHASE ORGANIZATION OF FOREST INVENTORY AND THE INTEGRATED FOREST MANAGEMENT PLANNING TECHNOLOGY “FROM IMAGERY TO UPLOADING INTO THE FEDERAL STATE FOREST INFORMATION SYSTEM”</span></strong></p>
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		<title>DYNAMICS OF KOREAN PINE-BROADLEAF FOREST RECOVERY AFTER SINGLE LOGGING IN THE 1960S IN THE SOUTHERN SIKHOTE-ALIN</title>
		<link>https://jfsi.ru/en/9-1-2026-ukhvatkina_et_al/</link>
		
		<dc:creator><![CDATA[lena]]></dc:creator>
		<pubDate>Tue, 28 Apr 2026 08:55:47 +0000</pubDate>
				<category><![CDATA[№1 2026]]></category>
		<guid isPermaLink="false">https://jfsi.ru/?p=8163</guid>

					<description><![CDATA[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&#46;&#46;&#46;]]></description>
										<content:encoded><![CDATA[<p><a style="color: #000000;" href="http://jfsi.ru/wp-content/uploads/2026/04/9-1-2026-Ukhvatkina_et_al.pdf"><img loading="lazy" class="size-full wp-image-1122 alignright" src="http://jfsi.ru/wp-content/uploads/2018/10/pdf.png" alt="" width="32" height="32" /></a></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif; font-size: 10pt;">Original Russian Text © 2025 <a href="https://jfsi.ru/8-3-2025-ukhvatkina_et_al/">O. N. Ukhvatkina, A. M. Omelko, V. E. Zakharova, A. A. Zhmerenetsky, G. A. Gladkova, L. A. Sibirina, A. V. Kuprin</a> published in Forest Science Issues Vol. 8, No 3, Article 172.</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>© 202</strong><strong>6</strong><strong>            O. N. Ukhvatkina*, A. M. Omelko, V. E. Zakharova, A. A. Zhmerenetsky, G. </strong></span><strong style="font-family: 'times new roman', times, serif;">A. Gladkova, L. A. Sibirina, A. V. Kuprin</strong></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong> </strong></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch of the Russian Academy of Sciences</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>100 Let Vladivostoku Ave., 159, Vladivostok 690022, Russia</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">*E-mail: ukhvatkina@biosoil.ru</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Received: 25.07.2025</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Revised: 09.08.2025</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Accepted: 15.08.2025</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Relevance and aim.</strong> 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. <strong>Materials and methods.</strong> 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. <strong>Results.</strong> 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. <strong>Conclusion.</strong> 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Keywords:</strong><em> Korean pine-broadleaf forests, single logging, stand recovery, southern Sikhote-Alin, species composition</em></span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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<em>&#8211;</em>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).</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Korean pine-broadleaf forests with <em>Pinus koraiensis</em> 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 <em>Pinus koraiensis</em> (Gukov, 1989).</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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 <em>Betula costata</em> Trautv. and <em>Populus tremula</em> L., while the participation of coniferous species, especially <em>Pinus koraiensis</em>, remains low. The natural recovery of <em>Pinus koraiensis</em> 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).</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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. <em>The aim of the study</em> is to assess the success of stand restoration in areas subjected to single logging in the late 1960s.</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>MATERIALS AND METHODS</strong></span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Research area.</strong> 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.</span></p>
<div id="attachment_8169" style="width: 1034px" class="wp-caption aligncenter"><img aria-describedby="caption-attachment-8169" loading="lazy" class="size-large wp-image-8169" src="https://jfsi.ru/wp-content/uploads/2026/04/Figure-1-1024x564.jpg" alt="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" width="1024" height="564" srcset="https://jfsi.ru/wp-content/uploads/2026/04/Figure-1-1024x564.jpg 1024w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-1-300x165.jpg 300w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-1-150x83.jpg 150w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-1-768x423.jpg 768w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-1-1536x846.jpg 1536w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-1.jpg 2046w" sizes="(max-width: 1024px) 100vw, 1024px" /><p id="caption-attachment-8169" class="wp-caption-text"><span style="font-family: 'times new roman', times, serif;"><strong>Figure 1.</strong> 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</span></p></div>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Logging in the region and on the territory of the station.</strong> 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 <em>Pinus koraiensis</em>, the sites that in 1965–1969 underwent selective single-tree logging aimed at harvesting the best stems of <em>Pinus koraiensis</em>, as well as areas of continuous logging in dark coniferous forests with a predominance of <em>Picea ajanensis</em> 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Data collection.</strong> 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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 <em>Betula costata</em> 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).</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Statistical analysis.</strong> 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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).</span></p>
<p style="text-align: center;"><strong><span style="font-family: 'times new roman', times, serif;">RESULTS AND DISCUSSION</span></strong></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Species composition.</strong> 19 species of trees were identified in the old-growth plots. The most numerous species in terms of the number of stems were <em>Abies nephrolepis</em> (Trautv.) Maxim., <em>Picea ajanensis</em> Fisch. ex Carrière, <em>Tilia amurensis</em> Rupr., <em>Pinus koraiensis</em> Sieb. et Zucc., <em>Betula costata</em> Trautv., <em>Acer ukurunduense </em>Trautv. et C.A. Mey., and <em>Acer mono</em> Maxim. ex Rupr. <em>Quercus mongolica</em> Fisch. ex Ledeb., <em>Ulmus laciniata</em> (Trautv.) Mayr, <em>Populus maximowiczii</em> A. Henry, <em>Phellodendron amurense</em> Rupr., <em>Acer tegmentosum</em> Maxim. et Rupr., and <em>Cerasus maximowiczii</em> (Rupr.) Kom. were also present. There were sporadic finds of <em>Betula platyphylla</em> Sukaczev, <em>Picea koraiensis</em> Nakai, <em>Sorbus amurensis</em> Koehne, <em>Syringa amurensis</em> Rupr., <em>Padus maackii</em> (Rupr.) Kom., and <em>Fraxinus mandshurica</em> Rupr.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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 <em>Betula platyphylla</em> Sukaczev, <em>Populus maximowiczii</em> A. Henry and <em>Populus tremula</em> L., <em>Salix cardiophylla</em> Trautv. et C.A. Mey, <em>Alnus hirsuta</em> (Spach) Turcz. ex Rupr., <em>Phellodendron amurense</em> Rupr., <em>Salix caprea</em> L., <em>Salix rorida</em> Laksch., and <em>Rhamnus davurica</em> Pall. Interestingly, <em>Taxus cuspidata</em> 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 <em>Pinus koraiensis</em>. This indicates a loss of the stable structure of the original community and its partial replacement by temporary successional elements.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>General characteristics. </strong>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<sup>-1</sup> (or 106 m³ * ha<sup>-1</sup>, 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Table.</strong> Characteristics of the stand of the old-growth and post-logging plots</span></p>
<div style="overflow-x: auto;">
<table style="border: 1px #f1f1f1 solid; background-color: #ffffff;">
<tbody>
<tr>
<td><span style="font-family: 'times new roman', times, serif;">Indicator, unit of measurement</span></td>
<td><span style="font-family: 'times new roman', times, serif;">Old-growth plots</span></td>
<td><span style="font-family: 'times new roman', times, serif;">Post-logging plots</span></td>
</tr>
<tr>
<td><span style="font-family: 'times new roman', times, serif;">Number of trees per 1 ha, pcs.</span></td>
<td><span style="font-family: 'times new roman', times, serif;">918</span></td>
<td><span style="font-family: 'times new roman', times, serif;">878</span></td>
</tr>
<tr>
<td><span style="font-family: 'times new roman', times, serif;">Average diameter (DBH), cm (SD)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">20.6 (15.1)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">19.3 (13.4)</span></td>
</tr>
<tr>
<td><span style="font-family: 'times new roman', times, serif;">Average height, m (SD)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">16.1 (5.8)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">16.2 (5.4)</span></td>
</tr>
<tr>
<td><span style="font-family: 'times new roman', times, serif;">Average stem volume, m³ (SD)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">0.54 (0.99)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">0.43 (0.82)</span></td>
</tr>
<tr>
<td><span style="font-family: 'times new roman', times, serif;">Median diameter, cm (25%, 75% percentile)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">15.2 (10.1, 26.5)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">15.0 (9.8, 24.5)</span></td>
</tr>
<tr>
<td><span style="font-family: 'times new roman', times, serif;">Median height, m (25%, 75% percentile)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">15.6 (10.5, 20.2)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">15.5 (10.4, 19.8)</span></td>
</tr>
<tr>
<td><span style="font-family: 'times new roman', times, serif;">Median stem volume, m³ (25%, 75% percentile)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">0.16 (0.026, 0.55)</span></td>
<td><span style="font-family: 'times new roman', times, serif;">0.14 (0.024, 0.45)</span></td>
</tr>
<tr>
<td><span style="font-family: 'times new roman', times, serif;">BA per 1 ha, m²</span></td>
<td><span style="font-family: 'times new roman', times, serif;">47.1</span></td>
<td><span style="font-family: 'times new roman', times, serif;">38.0</span></td>
</tr>
<tr>
<td><span style="font-family: 'times new roman', times, serif;">Stand stock per 1 ha, m³, live; deadwood</span></td>
<td><span style="font-family: 'times new roman', times, serif;">496; 38</span></td>
<td><span style="font-family: 'times new roman', times, serif;">380; 28</span></td>
</tr>
</tbody>
</table>
</div>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Notes:</strong> BA, total basal area; SD, standard deviation.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Distribution of stem diameters and volumes</strong><strong>.</strong> 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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.</span></p>
<div id="attachment_8168" style="width: 1034px" class="wp-caption aligncenter"><img aria-describedby="caption-attachment-8168" loading="lazy" class="size-large wp-image-8168" src="https://jfsi.ru/wp-content/uploads/2026/04/Figure-2-1024x753.jpg" alt="Figure 2. Distribution of trees by diameter (DBH). A, old-growth stand; B, post-logging stand" width="1024" height="753" srcset="https://jfsi.ru/wp-content/uploads/2026/04/Figure-2-1024x753.jpg 1024w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-2-300x221.jpg 300w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-2-150x110.jpg 150w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-2-768x565.jpg 768w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-2-1536x1129.jpg 1536w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-2-2048x1506.jpg 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /><p id="caption-attachment-8168" class="wp-caption-text"><span style="font-family: 'times new roman', times, serif;"><strong>Figure 2.</strong> Distribution of trees by diameter (DBH). A, old-growth stand; B, post-logging stand</span></p></div>
<div id="attachment_8167" style="width: 1034px" class="wp-caption aligncenter"><img aria-describedby="caption-attachment-8167" loading="lazy" class="size-large wp-image-8167" src="https://jfsi.ru/wp-content/uploads/2026/04/Figure-3-1024x750.jpg" alt="Figure 3. Distribution of trees by stock (the y-axis is logarithmic). A, old-growth stand; B, post-logging stand" width="1024" height="750" srcset="https://jfsi.ru/wp-content/uploads/2026/04/Figure-3-1024x750.jpg 1024w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-3-300x220.jpg 300w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-3-150x110.jpg 150w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-3-768x562.jpg 768w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-3-1536x1124.jpg 1536w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-3-2048x1499.jpg 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /><p id="caption-attachment-8167" class="wp-caption-text"><span style="font-family: 'times new roman', times, serif;"><strong>Figure 3.</strong> Distribution of trees by stock (the y-axis is logarithmic). A, old-growth stand; B, post-logging stand</span></p></div>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Comparison of the distributions of the main indicators of trees.</strong> 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, <em>p</em> = 0.0012), which indicates the heterogeneity of the vertical structure. Significant differences were also found in the diameter (KS = 0.043, <em>p</em> = 0.0285), total basal area of the stems (KS = 0.043, <em>p</em> = 0.0285), and the stem volume (KS = 0.047, <em>p</em> = 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.</span></p>
<div id="attachment_8166" style="width: 1034px" class="wp-caption aligncenter"><img aria-describedby="caption-attachment-8166" loading="lazy" class="size-large wp-image-8166" src="https://jfsi.ru/wp-content/uploads/2026/04/Figure-4-1024x671.jpg" alt="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" width="1024" height="671" srcset="https://jfsi.ru/wp-content/uploads/2026/04/Figure-4-1024x671.jpg 1024w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-4-300x197.jpg 300w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-4-150x98.jpg 150w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-4-768x503.jpg 768w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-4-1536x1007.jpg 1536w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-4-2048x1342.jpg 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /><p id="caption-attachment-8166" class="wp-caption-text"><span style="font-family: 'times new roman', times, serif;"><strong>Figure 4.</strong> 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</span></p></div>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Characteristics of individual species</strong><strong>.</strong> Figure 5 illustrates the differences in diameter at breast height and stem volume among tree species in the old-growth and post-logging plots. <em>Picea koraiensis</em> and <em>Taxus cuspidata</em> 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 <em>Pinus koraiensis</em> and <em>Picea ajanensis</em>: In <em>Pinus koraiensis</em>, 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 <em>Picea ajanensis</em>, the average diameter decreases from 26.2 to 21.7 cm (−17%), and the volume decreases from 0.69 to 0.46 m³ (−33%).</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Similar diameter values were found for <em>Tilia amurensis</em> and <em>Quercus mongolica</em> in both categories of stands. So, for example, <em>Tilia amurensis</em> 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 <em>Betula costata</em>, 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%).</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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 <em>Phellodendron amurense</em>, <em>Ulmus laciniata</em>, and <em>Salix caprea</em>, which are found exclusively in the post-logging plots.</span></p>
<div id="attachment_8165" style="width: 1034px" class="wp-caption aligncenter"><img aria-describedby="caption-attachment-8165" loading="lazy" class="size-large wp-image-8165" src="https://jfsi.ru/wp-content/uploads/2026/04/Figure-5-1024x673.jpg" alt="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)" width="1024" height="673" srcset="https://jfsi.ru/wp-content/uploads/2026/04/Figure-5-1024x673.jpg 1024w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-5-300x197.jpg 300w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-5-150x99.jpg 150w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-5-768x505.jpg 768w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-5-1536x1010.jpg 1536w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-5-2048x1347.jpg 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /><p id="caption-attachment-8165" class="wp-caption-text"><span style="font-family: 'times new roman', times, serif;"><strong>Figure 5.</strong> 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)</span></p></div>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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).</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Comparison of median values of diameter at breast height showed statistically significant differences for all five most widespread species: <em>Betula costata</em>, <em>Pinus koraiensis</em>, <em>Tilia amurensis</em>, <em>Acer mono</em>, and <em>Picea ajanensis</em> (<em>p</em> < 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 <em>Picea ajanensis</em>, i.e., larger trees were found in the post-logging plots. A similar pattern was found for the stem volume: in <em>Betula costata</em> and <em>Pinus koraiensis</em>, 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Characteristics of stock accumulation in the old-growth and disturbed forests.</strong> Figure 6 illustrates the distribution of live timber stock between species in the old-growth and post-logging plots. <em>Pinus koraiensis</em> dominates in the old-growth plots, accounting for 32.0% of the total timber stock (146.6 m³ * ha<sup>-1</sup>). Its contribution to the stock of the post-logging plots is more than ninefold lower, 4.7% (16.6 m³ * ha<sup>-1</sup>), which indicates weak recovery dynamics of this species after disturbances. <em>Picea ajanensis</em> and <em>Betula costata</em>, 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">In the post-logging stands, the proportion of pioneer species is noticeably higher, namely<em> Populus maximowiczii</em> (5.3% of the stock), <em>Populus tremula</em> (2.6%), <em>Padus maackii</em> (0.8%), <em>Alnus hirsuta</em> (0.8%), and <em>Betula platyphylla</em> (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 <em>Pinus koraiensis</em> and other late-successional species is significantly reduced.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">The test results showed that the distribution of stocks by species between the two categories significantly differs (χ² = 150.66; <em>p</em> < 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.</span></p>
<div id="attachment_8164" style="width: 896px" class="wp-caption aligncenter"><img aria-describedby="caption-attachment-8164" loading="lazy" class="size-large wp-image-8164" src="https://jfsi.ru/wp-content/uploads/2026/04/Figure-6-886x1024.jpg" alt="Figure 6. Timber stock per 1 ha by species in the old-growth (A) and post-logging (B) stands" width="886" height="1024" srcset="https://jfsi.ru/wp-content/uploads/2026/04/Figure-6-886x1024.jpg 886w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-6-260x300.jpg 260w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-6-130x150.jpg 130w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-6-768x887.jpg 768w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-6-1329x1536.jpg 1329w, https://jfsi.ru/wp-content/uploads/2026/04/Figure-6-1772x2048.jpg 1772w" sizes="(max-width: 886px) 100vw, 886px" /><p id="caption-attachment-8164" class="wp-caption-text"><span style="font-family: 'times new roman', times, serif;"><strong>Figure 6.</strong> Timber stock per 1 ha by species in the old-growth (A) and post-logging (B) stands</span></p></div>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>State of the stand 60–70 years after logging and the possibility of restoring its original state. </strong>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 <em>Pinus koraiensis</em> and <em>Picea ajanensis </em>were harvested, single large-sized trees being removed, and disturbance to stand structure was minimal.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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<sup>-1</sup> versus 496 m³ * ha<sup>-1</sup>) 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"> 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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, <em>Pinus koraiensis</em> 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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 <em>Pinus koraiensis</em> occurs within 120–160 years after logging and only if there is an already existing undergrowth in the amount of 400–500 specimens * ha<sup>-1</sup>. 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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).</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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 <em>Pinus koraiensis</em> is minimal.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Such communities represent a transitional successional stage, where the pioneer species still retain a dominant position, while the late successional <em>Pinus koraiensis</em>, <em>Picea ajanensis</em>, and <em>Betula costata</em> 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.</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>CONCLUSION</strong></span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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 <em>Pinus koraiensis</em> 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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.</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong> </strong></span><span style="font-family: 'times new roman', times, serif;"><strong>ACKNOWLEDGEMENT</strong></span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">The research was carried out within the state assignment of Ministry of Science and Higher Education of the Russian Federation (theme No. 124012400285-7).</span></p>
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<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong>Reviewer</strong>: Candidate of Biological Sciences, leading research fellow V. N. Korotkov</span></p>
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		<title>COMPARISON OF MODEL-BASED FOREST STAND BIOMASS ESTIMATION: THE CASE OF SPRUCE PHYTOCOENOSES IN THE MURMANSK REGION</title>
		<link>https://jfsi.ru/en/9-1-2026-ryabovisaeva/</link>
		
		<dc:creator><![CDATA[lena]]></dc:creator>
		<pubDate>Thu, 23 Apr 2026 07:04:20 +0000</pubDate>
				<category><![CDATA[№1 2026]]></category>
		<guid isPermaLink="false">https://jfsi.ru/?p=8114</guid>

					<description><![CDATA[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&#46;&#46;&#46;]]></description>
										<content:encoded><![CDATA[<p><a style="color: #000000;" href="http://jfsi.ru/wp-content/uploads/2026/04/9-1-2026-Ryabov&#038;Isaeva.pdf"><img loading="lazy" class="size-full wp-image-1122 alignright" src="http://jfsi.ru/wp-content/uploads/2018/10/pdf.png" alt="" width="32" height="32" /></a></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>N. </strong></span><strong style="font-family: 'times new roman', times, serif;">S. Ryabov*, L. G. Isaeva</strong></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em> </em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>Institute of North Industrial Ecology Problems of the KSC RAS</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>Russia, 184209, Apatity, Akademgorodok, 14A</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">*E-mail: n.ryabov@ksc.ru</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Received: 04.02.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Revised: 16.03.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Accepted: 20.03.2026</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong><em>К</em></strong><strong><em>eywords</em></strong><em>:</em> <em>stand biomass</em><em>, </em><em>stand biomass models</em><em>, spruce forests, northern taiga forests, </em><em>Murmansk region</em><em>, Arctic</em></span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em> </em></span><span style="font-family: 'times new roman', times, serif;"><em> </em></span></p>
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<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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).</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Repola J., Ojansuu R., Kukkola M., <em>Biomass functions for Scots pine, Norway spruce and birch in Finland</em>, Helsinki: Finnish Forest Research Institute, 2007, 28 p.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Schepaschenko D., Moltchanova E., Fedorov S., Karminov V., Ontikov P., … &#038; Kraxner F., Russian forest sequesters substantially more carbon than previously reported, <em>Scientific Reports</em>, 2021, Vol. 11, Article 12825, DOI: 10.1038/s41598-021-92152-9</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Sheshnitsan S. S., Kartashova N. P., Shtepa E. N., Tsaregorodtsev A. V., Safonova A. A., Zapasy ugleroda v fitomasse i biologicheskaya produktivnost&#8217; 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), <em>Lesotekhnicheskii zhurnal</em>, 2024, Vol. 14, No 4(56), pp. 97–110, DOI: 10.34220/issn.2222-7962/2024.4/7</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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, <em>Carbon Balance Manage</em>, 2023, Vol. 18, No 10, DOI: 10.1186/s13021-023-00222-4</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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, <em>Global Ecology and Biogeography</em>, 2014, Vol. 23, pp. 297–310, DOI: 10.1111/geb.12125</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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), <em>AVU</em>, 2012, No 8 (100), pp. 55–58.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Tsvetkov V. F., Chertovskii V. G., <em>Klassifikatsionnye tipologicheskie skhemy lesov i lesorastitel&#8217;noe raionirovanie Murmanskoi oblasti</em> (Classification typological schemes of forests and forest vegetation zoning of the Murmansk region), Arkhangelsk: Izd-vo AILiLKH, 1979, 36 p.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Usol&#8217;tsev V. A., <em>Fitomassa model&#8217;nykh derev&#8217;ev lesoobrazuyushchikh porod Evrazii: baza dannykh, klimaticheski obuslovlennaya geografiya, taksatsionnye normativy</em> (Phytomass of model trees of forest-forming species of Eurasia: database, climatically determined geography, taxation standards), Ekaterinburg: izd-vo Ural&#8217;skogo gosudarstvennogo lesotekhnicheskogo universiteta, 2016, 336 p.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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, <em>Tree Physiology</em>, 2004, Vol. 24, No 2, pp. 121–139, DOI: 10.1093/treephys/24.2.121</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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), <em>Lesovedenie</em>, 2002, No 2, p. 14–22.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Zianis D., Muukkonen P., Mäkipää R., Mencuccini M., Biomass and stem volume equations of tree species in Europe, <em>Silva Fennica</em>, 2005, No 4, DOI: 10.14214/sf.sfm4</span></p>
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		<title>SPATIAL VARIABILITY OF FOREST FLOOR PROPERTIES IN POST-FIRE LARCH FORESTS OF THE RUSSIAN FAR EAST</title>
		<link>https://jfsi.ru/en/9-1-2026-ivanov_et_al/</link>
		
		<dc:creator><![CDATA[lena]]></dc:creator>
		<pubDate>Tue, 21 Apr 2026 09:02:57 +0000</pubDate>
				<category><![CDATA[№1 2026]]></category>
		<guid isPermaLink="false">https://jfsi.ru/?p=8118</guid>

					<description><![CDATA[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&#46;&#46;&#46;]]></description>
										<content:encoded><![CDATA[<p><a style="color: #000000;" href="http://jfsi.ru/wp-content/uploads/2026/04/9-1-2026-Ivanov_et_al.pdf"><img loading="lazy" class="size-full wp-image-1122 alignright" src="http://jfsi.ru/wp-content/uploads/2018/10/pdf.png" alt="" width="32" height="32" /></a></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>А</strong><strong>. V. Ivanov<sup>1</sup>*, S. V. Bryanin<sup>1</sup>, E. S. Susloparova<sup>1</sup>, Yu. A. Masyutina<sup>1</sup>, A. V. Danilov<sup>1</sup>,  A. </strong></span><strong style="font-family: 'times new roman', times, serif;">V. Kondratova<sup>1</sup>, A. E. Mazhara<sup>2</sup></strong></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong> </strong></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em><sup>1</sup></em><em>Institute of Geology and Nature Management, Far Eastern Branch of the Russian Academy of Sciences</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em>Relyochny Lane 1, Blagoveshchensk 675000, Russian Federation</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em><sup>2</sup></em><em>Far East Forestry Research Institute, Volochaevskaya St, 71, Khabarovsk, 680020, Russian Federation</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em> </em></span><span style="font-family: 'times new roman', times, serif;">*E-mail: aleksandrgg86@mail.ru</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Received: 30.10.2025</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Revised: 12.02.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Accepted: 19.02.2026</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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<sup>-1</sup> in the Amur Region, 10.4±1.1 t C ha<sup>-1</sup> in Yakutia, and 4.6±0.4 t C ha<sup>-1</sup> 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 &#8220;elevation&#8221; and &#8220;foliage carbon stock&#8221; as predictors (R<sup>2 </sup>= 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.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong> </strong></span><span style="font-family: 'times new roman', times, serif;"><strong><em>Keywords:</em></strong> <em>forest litter, larch forests, stock, forest fires, Far East </em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em> </em></span><span style="font-family: 'times new roman', times, serif;"><strong>REFERENCES</strong></span></p>
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<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Chestnykh O. V., Lyzhin V. A., Koksharova A. V., Zapasy ugleroda v podstilkakh lesov Rossii (Carbon stocks in the litters of Russian forests), <em>Lesovedenie</em>, 2007, No 6, pp. 114–121.</span></p>
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<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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, <em>Science of The Total Environment</em>, 2016, Vol. 557, pp. 469–478.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Ficken C. D., Wright J. P., Effects of fire frequency on litter decomposition as mediated by changes to litter chemistry and soil environmental conditions, <em>PLoS One</em>, 2017, Vol. 12, No 10, Article e0186292.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Ivanov A. V. Forest litter in the Far East of Russia. <em>Figshare. Dataset.</em> 2025. <a href="https://doi.org/10.6084/m9.figshare.30422950.v1">https://doi.org/10.6084/m9.figshare.30422950.v1</a> (2026, 1 February)</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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, <em>Canadian Journal of Forest Research</em>, 2022, Vol. 52, pp. 1543–1552.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Ivanov A. V., Zamolodchikov D. G., Ivanova E. V., Novye otsenki elementov uglerodnogo tsikla dlya poimennykh lesov yuzhnogo Primor&#8217;ya (New estimates of carbon cycle elements for floodplain forests of southern Primorye), <em>Agrarnyi vestnik Primor&#8217;ya</em>, 2023, No 2 (30), pp. 63–67.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Ivanov A. V., Zapasy lesnykh podstilok v kedrovo-shirokolistvennykh lesakh yuzhnogo Sikhote-Alinya (Forest litter stocks in cedar-broadleaf forests of southern Sikhote-Alin), <em>Sibirskii lesnoi zhurnal</em>, 2015, No 5, pp. 87–95.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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, <em>Forests</em>, 2024, Vol. 15, No 1448, DOI: 10.3390/f15081448</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Key C. H., Benson N. C., Landscape Assessment (LA) Sampling and Analysis Methods. In: <em>USDA Forest Service General Technical Report RMRS-GTR, USDA</em>: Washington, DC, USA, 2006, 55 p.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Kharuk V. I., Ponomarev E. I., Spatiotemporal characteristics of wildfire frequency and relative area burned in larch-dominated forests of Central Siberia, <em>Russian Journal of Ecology</em>, 2017, Vol. 48, pp. 507–512.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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, <em>Fire</em>, 2023, Vol. 6, No 8, p. 301, DOI: 10.3390/fire6080301</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Nave L. E., Vance E. D., Swanston C. W., Curtis P. S., Fire effects on temperate forest soil C and N storage, <em>Ecological Applications</em>, 2011, Vol. 21, No 4, pp. 1189–1201, DOI: 10.1890/10-0660.1</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Ponomarev E. I., Zabrodin A. N., Shvetsov E. G., Ponomareva T. V., Wildfire intensity and fire emissions in Siberia, <em>Fire</em>, 2023, Vol. 6, No 7, p. 246, DOI: 10.3390/fire6070246</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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), <em>Sibirskii ekologicheskii zhurnal</em>, 2006, Vol. 13, No 2, pp. 131–139.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em>Rukovodyashchie ukazaniya po effektivnoi praktike dlya zemlepol&#8217;zovaniya, izmenenii v zemlepol&#8217;zovanii i lesnogo khozyaistva</em> (Good Practice Guidance for Land Use, Land-Use Change and Forestry), <em>Programma MGEIK po natsional&#8217;nym kadastram parnikovykh gazov</em>, MGEIK, 2003, 648 p.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Sergeeva O. V., Mukhortova L. V., Krivobokov L. V., Raspredelenie zapasov podstilki i biomassy zhivogo napochvennogo pokrova v severnoi taige Tsentral&#8217;noi Evenkii v zavisimosti ot rel&#8217;efa (Distribution of litter stocks and biomass of live ground cover in the northern taiga of Central Evenkia depending on topography), <em>Sibirskii lesnoi zhurnal</em>, 2020, No 1, pp. 38–46.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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), <em>Problemy prognozirovaniya</em>, 2023, No 6, pp. 11–24.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Usol&#8217;tsev V. A., <em>Fitomassa model&#8217;nykh derev&#8217;ev dlya distantsionnoi i nazemnoi taksatsii lesov Evrazii</em> (Phytomass of model trees for remote and ground forest inventory in Eurasia), Yekaterinburg: Ural. gos. lesotekhn. un-t, 2016.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Utkin A. I., Zamolodchikov D. G., Chestnykh O. V., Organicheskii uglerod listvennichnykh lesov Rossii (Organic carbon in larch forests of Russia), <em>Khvoinye boreal&#8217;noi zony</em>, 2003, Vol. 21, No 1, pp. 66–76.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Zabrodin A. N., Ponomarev E. I., Otsenka svyazi mezhdu stepen&#8217;yu pozharnogo vozdeistviya na rastitel&#8217;nost&#8217; i moshchnost&#8217;yu teploizlucheniya ot pozhara (Assessment of the relationship between the degree of fire impact on vegetation and the intensity of thermal radiation from fire), <em>Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa</em>, 2023, Vol. 20, No 5, pp. 166–175.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Zamolodchikov D. G., Grabovskii V. I., Chestnykh O. V., Dinamika balansa ugleroda v lesakh federal&#8217;nykh okrugov Rossiiskoi Federatsii (Dynamics of carbon balance in the forests of federal districts of the Russian Federation), <em>Voprosy lesnoi nauki</em>, 2018, Vol. 1, No 1, pp. 1–24.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong> </strong></span></p>
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		<title>ON THE 125TH ANNIVERSARY OF THE BIRTH OF PROFESSOR ALEXEI ALEXANDROVICH URANOV</title>
		<link>https://jfsi.ru/en/9-1-2026-korotkovevstigneev/</link>
		
		<dc:creator><![CDATA[lena]]></dc:creator>
		<pubDate>Tue, 21 Apr 2026 08:10:24 +0000</pubDate>
				<category><![CDATA[№1 2026]]></category>
		<guid isPermaLink="false">https://jfsi.ru/?p=8110</guid>

					<description><![CDATA[V.  N. Korotkov1*, 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,&#46;&#46;&#46;]]></description>
										<content:encoded><![CDATA[<p><a style="color: #000000;" href="http://jfsi.ru/wp-content/uploads/2026/04/9-1-2026-Korotkov&#038;Evstigneev.pdf"><img loading="lazy" class="size-full wp-image-1122 alignright" src="http://jfsi.ru/wp-content/uploads/2018/10/pdf.png" alt="" width="32" height="32" /></a></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>V.  N. Korotkov<sup>1*</sup>, O. I. Evstigneev<sup>2</sup></strong></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em><sup>1</sup></em><em> Isaev Centre for Forest Ecology and Productivity of the RAS Profsoyuznaya st., 84/32, bldg. 14, Moscow, 117997 Russia </em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><em><sup>2</sup></em><em>State Nature Biosphere Reserve «Bryansk Forest» Sanctuary str, 2, st. Nerussa, Suzemsky district, Bryansk, 242180 Russia </em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">*E-mail: korotkovv@list.ru</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Received: 16.02.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Revised: 17.03.2026</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;">Accepted: 20.03.2026</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">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&#8217;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&#8217;s disciples, as well as a list of articles and conferences dedicated to A. A. Uranov.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><strong><em>Keywords:</em></strong> <em>ontogeny, coenopopulations, phytocoenology, problem-based biological laboratory, history of science</em></span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"><strong>REFERENCES</strong></span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em>Cenofond lesov Evropejskoj chasti Rossii </em>(Spectrum of forest plant communities in the European part of Russia), Available at: https://cepl.rssi.ru/bio/flora/main.htm, (2026, 13 February).</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em>Cenopopuljacii rastenij (ocherki populjacionnoj biologii)</em> (Plant Coenopopulations: Essays in Population Biology), Moscow, Nauka, 1988, 184 p.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em>Cenopopuljacii rastenij (osnovnye ponjatija i struktura)</em> (Plant Coenopopulations: Basic Concepts and Structure), Moscow, Nauka, 1976, 217 p.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em>Cenopopuljacii rastenij. Razvitie i vzaimootnoshenija</em> (Plant Coenopopulations: Development and Interrelationships), Moscow, Nauka, 1977, 131 p.</span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><em>Diagnozy i kljuchi vozrastnyh sostojanij lesnyh rastenij</em>. <em>Derev&#8217;ja i kustarniki </em>(Diagnoses and Keys to Age States of Forest Plants: Trees and Shrubs), Moscow, Prometej, 1989, 102 p.</span></p>
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