Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

[Text] / M. . Kawahigashi, A. . Prokushkin, H. . Sumida // Geoderma. - 2011. - Vol. 166, Is. 1. - P171-180, DOI 10.1016/j.geoderma.2011.07.027. - Cited References: 44. - This research was supported by the core to core program "Symptoms of Climate Change in Far-eastern Siberia", funded by the Japanese Society for Promotion of Science. The authors thank Alexander Kirdyanov, Tatiana Bugaenko, Svetlana Evgrafova for support in sample collection and preparation. . - 10. - ISSN 0016-7061РУБ Soil Science

Аннотация: To evaluate the effects of forest fire and post-fire stand recovery on the organic layer chemistry and solute release within mound and trough microrelief elements (termed earth hummock microtopography) that mainly distribute permafrost affected area, we chose five fire plots (larch forests burned in 1951, 1981, 1990, 1994 and 2005) paired with adjacent control plots in mature larch forests in Central Siberian permafrost terrain. We determined total carbon, nitrogen and ash content in solid organic soils, and analyzed total carbon, nitrogen, bases and major anions in water extracts. There was a significant correlation between water-extracted organic carbon (WEOC) and total carbon (kg m(-2)) in area basis, implying that the quantity of total carbon was a major factor in WEOC production. WEOC correlated negatively with pH, indicating strong control by organic horizons (organic solute leaching) on soil acidity and base cation dynamics. The sum of water extractable base cations was also correlated significantly to total carbon, indicating that cations can be released through organic matter decomposition. Organic horizons in troughs in burned plots released greater amounts of Ca, Mg and K than those in mounds, probably due to greater content of organic matter as a cation source. Anions including nitrate and phosphate and WEOC also accumulated in trough depressions, due probably to organic matter degradation. The contrasting distribution of solutes between mounds and troughs in burned plots seems to be controlled by organic horizon development via changes in microtopography after forest fires. (C) 2011 Elsevier B.V. All rights reserved.

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Держатели документа:
[Kawahigashi, Masayuki
Sumida, Hiroaki] Nihon Univ, Coll Bioresource Sci, Kanagawa 2520880, Japan
[Prokushkin, Anatoly] Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia

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Kawahigashi, M...; Prokushkin, A...; Sumida, H...

[Text] / A. . Osawa, A. P. Abaimov, T. . Kajimoto // Can. J. For. Res.-Rev. Can. Rech. For. - 2001. - Vol. 31, Is. 11. - P2042-2048, DOI 10.1139/cjfr-31-11-2042. - Cited References: 24 . - 7. - ISSN 0045-5067РУБ Forestry

Аннотация: Feasibility was tested of estimating the total stem volume and aboveground biomass from data of only the largest trees in even-aged pure stands. We applied a method of fitting a size-distribution function to data that exclude information of smaller individuals in a stand and compared the predicted stem volume and aboveground biomass with those calculated with data of all living trees in the stand. The paired t test showed that the predicted values of the total stem volume and aboveground biomass were not different (p = 0.05) from those observed even if only the largest 10% of the trees were used for estimation with the -3/2 power distribution. Results were similar with the beta-type distribution; however, data from at least the largest 30% of the trees in the stand must be included. Absolute values of the relative error of the predicted total stem volume or aboveground biomass were generally in the range 10-20%, indicating that the present method is accurate enough to be used for calculation of these variables. However, there is systematic bias in the predictions of the total stem volume and aboveground biomass of a stand. Possible causes of the indicated biases and potential ways for improvement of the predictions were discussed.

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Держатели документа:
Ryukoku Univ, Fac Intercultural Commun, Otsu, Shiga 5202194, Japan
Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia
Forestry & Forest Prod Res Inst, Tohoku Res Ctr, Morioka, Iwate 0200123, Japan

Доп.точки доступа:
Osawa, A...; Abaimov, A.P.; Kajimoto, T...

/ N. M. Tchebakova [et al.] // Environ.Res.Lett. - 2016. - Vol. 11, Is. 3, DOI 10.1088/1748-9326/11/3/035016 . - ISSN 1748-9318
Аннотация: Previous regional studies in Siberia have demonstrated climate warming and associated changes in distribution of vegetation and forest types, starting at the end of the 20th century. In this study we used two regional bioclimatic envelope models to simulate potential changes in forest types distribution and developed new regression models to simulate changes in stand height in tablelands and southern mountains of central Siberia under warming 21st century climate. Stand height models were based on forest inventory data (2850 plots). The forest type and stand height maps were superimposed to identify how heights would change in different forest types in future climates. Climate projections from the general circulation model Hadley HadCM3 for emission scenarios B1 and A2 for 2080s were paired with the regional bioclimatic models. Under the harsh A2 scenario, simulated changes included: A 80%-90% decrease in forest-tundra and tundra, a 30% decrease in forest area, a ∼400% increase in forest-steppe, and a 2200% increase in steppe, forest-steppe and steppe would cover 55% of central Siberia. Under sufficiently moist conditions, the southern and middle taiga were simulated to benefit from 21st century climate warming. Habitats suitable for highly-productive forests (≥30-40 m stand height) were simulated to increase at the expense of less productive forests (10-20 m). In response to the more extreme A2 climate the area of these highly-productive forests would increase 10%-25%. Stand height increases of 10 m were simulated over 35%-50% of the current forest area in central Siberia. In the extremely warm A2 climate scenario, the tall trees (25-30 m) would occur over 8%-12% of area in all forest types except forest-tundra by the end of the century. In forest-steppe, trees of 30-40 m may cover some 15% of the area under sufficient moisture. © 2016 IOP Publishing Ltd.

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Держатели документа:
V.N. Sukachev Institute of Forests, Siberian Branch, Russian Academy of Sciences, Academgorodok, 50/28, Krasnoyarsk, Russian Federation
US Forest Service, Rocky Mountain Research Station, Missoula, MT, United States

Доп.точки доступа:
Tchebakova, N. M.; Parfenova, E. I.; Korets, M. A.; Conard, S. G.

/ L. V. Belokopytova [et al.] // Contemp. Probl. Ecol. - 2018. - Vol. 11, Is. 4. - P366-376, DOI 10.1134/S1995425518040030. - Cited References:68. - The study was supported by the Russian Foundation for Basic Research (project no. 17-04-00315). . - ISSN 1995-4255. - ISSN 1995-4263РУБ Ecology

Аннотация: We compared three approaches to study climatic signals of Pinus sylvestris and Larix sibirica treering width chronologies from the forest-steppe zone of South Siberia, where both temperature and precipitation limit the conifer tree growth: 1-paired correlation of chronologies with monthly climatic variables; 2- paired and partial correlations with monthly and seasonal series of primary and secondary climatic factors, calculated in the Seascorr program; 3-paired correlation with a 15-day moving average series of climatic variables. The comparison showed that simple paired correlation with monthly series as the simplest approach could be used for a wide range of dendroclimatic studies, both as a main procedure and for preliminary analysis. The Seascorr analysis is the most suitable for assessing climate-growth relationship in extreme growth conditions and for reconstructions of extremes, e.g. droughts, and of their impact periods. The application of the 15-day moving average series is limited by availability of daily climatic data, but it describes the seasonal window of climatic response with high precision. Altogether, the combination of three approaches allowed to explore the spatial-temporal pattern of the conifers radial growth climatic response in South Siberia.

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Держатели документа:
Siberian Fed Univ, Khakas Tech Inst, Abakan 655017, Russia.
Univ Arizona, Lab Tree Ring Res, Tucson, AZ 85721 USA.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Akad Gorodok 50-28, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Belokopytova, L. V.; Babushkina, E. A.; Zhirnova, D. F.; Panyushkina, I. P.; Vaganov, E. A.; Russian Foundation for Basic Research [17-04-00315]

[Текст] : статья / Тамара Тимофеевна Ефремова, Ада Федоровна Аврова // Сибирский экологический журнал. - 2019. - Т. 26, № 4. - С. 397-409, DOI 10.15372/SEJ20190403 . - ISSN 0869-8619
   Перевод заглавия: REGRESSION MODELS OF ACID-BASE PROPERTIES OF PEAT SWAMPS AS OPERATIONAL CRITERIA FOR THEIR CHEMICAL CLASSIFICATION

УДК

631*415

631*445.12

519*2

Аннотация: По типу линейной функции установлены количественные связи активной кислотности (рН_Н₂О) торфяных почв с величиной обменной (рН_KCl) и гидролитической (общей) кислотности, содержанием обменных катионов и щелочноземельных оснований, а также со степенью насыщенности основаниями. Приведены коэффициенты полученных уравнений регрессии. Доказаны высокие прогностические возможности регрессионных моделей на примере независимых данных. Применение регрессионных уравнений избавляет от выполнения трудоемких аналитических работ, что позволяет оперативно осуществлять классификацию болот и торфяных почв по химическому принципу - насыщенности щелочноземельными основаниями и величине рН. Индикаторная роль ботанического состава может заслуживать доверия при условии невысокой степени разложения торфа и специальных знаний морфологии и анатомии сфагновых мхов и сосудистых болотных растений.
The quantitative relationships of active acidity (pH_H₂O) of peat soils with the value of exchange acidity (pH_KCl), nonexchangeble (total potential) acidity (1M CH₃COONa extract), and the content of exchange cations and alkaline-earth bases, as well as the degree of bases saturation were established by the type of linear function. The coefficients of the regression equations are given. Using independent data, we proved the high predictive capability of regression models. Using the regression equations eliminates the time-consuming execution of analytical works, which allows to quickly classification the wetlands and peat soils on the chemical principle - saturation of alkaline-earth bases and pH value. The indicator role of the botanical composition may be credible provided the low peat decomposition degree and special knowledge of morphology and anatomy of sphagnum mosses and vascular bog plants.

РИНЦ,
SPRINGER

Держатели документа:
ИЛ СО РАН : 660036, Красноярск, Академгородок, 50, стр. 28

Доп.точки доступа:
Ефремова, Тамара Тимофеевна; Efremova T.T.; Аврова, Ада Федоровна; Avrova A.F.

/ T. T. Efremova, A. F. Avrova // Contemp. Probl. Ecol. - 2019. - Vol. 12, Is. 4. - P321-331, DOI 10.1134/S1995425519040024. - Cited References:20. - This study was performed in the framework of base project VI.52.2.1. "Biodiversity of Primary Coniferous and Secondary Forest Ecosystems" (no. 0356-2016-0301). . - ISSN 1995-4255. - ISSN 1995-4263РУБ Ecology

Аннотация: Quantitative relationships between the active acidity of peat soils on the one hand and their exchange acidity (pH(KCl)), nonexchangeble (total potential) acidity (1M CH3COONa extract), contents of exchange cations and alkaline-earth bases, and base saturation degree, on the other hand, have been identified in the form of a linear function. Coefficients of the resultant regression equations are provided. The high predictive capability of the produced regression models is proven using independent data as examples. The use of regression equations eliminates the need for time-consuming chemical analytical works, thus making it possible to operatively classify wetlands and peat soils on the basis on their chemical properties: saturation with alkaline-earth bases and pH value. The botanical composition may also be used as a reliable indicator, provided that the degree of peat decomposition is low and subject to special knowledge of morphology and anatomy of sphagnum mosses and vascular swamp plants.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Krasnoyarsk Sci Ctr, West Siberian Dept,Sukachev Inst Forest,Fed Res C, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Efremova, T. T.; Avrova, A. F.; [VI.52.2.1]; [0356-2016-0301]

/ A. K. Ekart, A. Y. Larionova, A. N. Kravchenko [et al.] // Russ. J. Genet. - 2021. - Vol. 57, Is. 8. - P920-927, DOI 10.1134/S1022795421070073. - Cited References:36. - This study was supported by the Russian Foundation for Basic Research, the Government of Krasnoyarsk krai, and the Krasnoyarsk Regional Fund of Science (project no. 1944-240006 r_a), as well as by the Russian Foundation for Basic Research (project no. 18-04-01061a). . - ISSN 1022-7954. - ISSN 1608-3369РУБ Genetics & Heredity

Аннотация: The genetic diversity, structure, and differentiation of relict lime plantations in Krasnoyarsk krai (considered as a separate species Tilia nasczokinii Stepanov) were for the first time studied on the basis of the analysis of variability of 12 microsatellite markers of the nuclear genome. In addition, six T. cordata Mill. populations from the European and West Siberian parts of its range and the T. sibirica Bayer population from Kemerovo oblast were included in the study. It was found that lime plantations in the vicinity of Krasnoyarsk (Manskoye Zaymishche and Kashtak) have a similar genetic structure and are in a state close to equilibrium. The level of genetic variability of T. nasczokinii populations is comparable to the level of variability of the T. sibirica population, but was significantly lower than in T. cordata populations. Estimation of the degree of genetic differentiation of lime populations according to interpopulation paired F-st values and Nei's genetic distances (D-N72) detected significant differences of the T. nasczokinii populations from the T. cordata and T. sibirica populations. The analysis of genetic differentiation (by the PCoA method) of paired F-st values and individual genetic distances (D), as well as clustering in STRUCTURE, demonstrated the separation of the studied populations into three groups according to their species affiliation. Moreover, the T. nasczokinii populations are genetically removed from the T. sibirica population to a greater extent than from T. cordata populations.

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Держатели документа:
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Inst Plant & Anim Ecol, Ural Branch, Ekaterinburg 620144, Russia.

Доп.точки доступа:
Ekart, A. K.; Larionova, A. Ya; Kravchenko, A. N.; Semerikova, S. A.; Sedaeva, M., I; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [18-04-01061a]; Government of Krasnoyarsk krai; Krasnoyarsk Regional Fund of Science [1944-240006 r_a]

/ Y. -H. Lin, P. -C. Lee, O. V. Menyailo, C. -H. Cheng // Forests. - 2021. - Vol. 12, Is. 9. - Ст. 1222, DOI 10.3390/f12091222 . - ISSN 1999-4907
Аннотация: Afforestation or abandonment of agricultural fields to forest regeneration is a method of sequestering carbon to offset the increasing atmospheric concentration of CO2. We selected 11 sites with altitudes ranging from 14 to 2056 m and with paired forest regenerated and adjacent agricultural fields. Our objectives were to (1) examine the changes in soil organic carbon (SOC) concentration and stock after forest regeneration of agricultural fields and (2) identify the factors related to elevation and adjacent agricultural practices that affect the SOC accumulation rate. Our results demonstrated overall increases in both SOC concentrations and stocks after forest regeneration of the abandoned agricultural fields. The average increase rates of SOC concentrations in the forest regenerated soil samples were 1.65 and 0.95 g C kg?1 at 0–10 and 10–20 cm depths, respectively, representing 101% and 65% increases relative to those in the soil samples from agricultural fields. The average accumulation rates of SOC stocks in the regenerated forests were 13.0 and 6.7 ton C ha?1 at the 0–10 and 10–20 cm depths, respectively, representing 96% and 62% increases relative to those in the agricultural soil samples. The average annual sequestration rate was 1.03 Mg C ha?1 year?1 for the top 0–20 cm soils, which is greater than that observed by previous reviews and meta-analyses. The tropical/subtropical climate, sampling soil depth, forest regeneration period, and tree species in this study are likely to have contributed to the high average SOC accumulation levels. In addition, the SOC stock accumulation rates were higher at low-elevation sites than at middle-elevation sites, which could also be attributed to the favorable climatic conditions at the low-elevation sites. Along with the build-up of carbon sequestration in the forest floor and tree biomass, the afforestation/abandonment of agricultural fields to forest regeneration appears to be a promising carbon offset mechanism. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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Держатели документа:
School of Forestry and Resource Conservation, National Taiwan University, Taipei, 106, Taiwan
Institute of Forest Research SB RAS, Krasnoyarsk, 660036, Russian Federation
Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Soil and Water Management & Crop Nutrition Laboratory, Seibersdorf, 2444, Austria

Доп.точки доступа:
Lin, Y. -H.; Lee, P. -C.; Menyailo, O. V.; Cheng, C. -H.

/ Y. H. Lin, P. C. Lee, O. V. Menyailo, C. H. Cheng // Forests. - 2021. - Vol. 12, Is. 9. - Ст. 1222, DOI 10.3390/f12091222. - Cited References:33. - This study was supported by the Ministry of Science and Technology of Taiwan, a cooperative grant from the Ministry of Science and Technology of Taiwan and the Russian Foundation for Basic Research (RFBR), and the NTU Core Consortiums. . - ISSN 1999-4907РУБ Forestry

Аннотация: Afforestation or abandonment of agricultural fields to forest regeneration is a method of sequestering carbon to offset the increasing atmospheric concentration of CO2. We selected 11 sites with altitudes ranging from 14 to 2056 m and with paired forest regenerated and adjacent agricultural fields. Our objectives were to (1) examine the changes in soil organic carbon (SOC) concentration and stock after forest regeneration of agricultural fields and (2) identify the factors related to elevation and adjacent agricultural practices that affect the SOC accumulation rate. Our results demonstrated overall increases in both SOC concentrations and stocks after forest regeneration of the abandoned agricultural fields. The average increase rates of SOC concentrations in the forest regenerated soil samples were 1.65 and 0.95 g C kg(-1) at 0-10 and 10-20 cm depths, respectively, representing 101% and 65% increases relative to those in the soil samples from agricultural fields. The average accumulation rates of SOC stocks in the regenerated forests were 13.0 and 6.7 ton C ha(-1) at the 0-10 and 10-20 cm depths, respectively, representing 96% and 62% increases relative to those in the agricultural soil samples. The average annual sequestration rate was 1.03 Mg C ha(-1) year(-1) for the top 0-20 cm soils, which is greater than that observed by previous reviews and meta-analyses. The tropical/subtropical climate, sampling soil depth, forest regeneration period, and tree species in this study are likely to have contributed to the high average SOC accumulation levels. In addition, the SOC stock accumulation rates were higher at low-elevation sites than at middle-elevation sites, which could also be attributed to the favorable climatic conditions at the low-elevation sites. Along with the build-up of carbon sequestration in the forest floor and tree biomass, the afforestation/abandonment of agricultural fields to forest regeneration appears to be a promising carbon offset mechanism.

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Держатели документа:
Natl Taiwan Univ, Sch Forestry & Resource Conservat, Taipei 106, Taiwan.
Inst Forest Res SB RAS, Krasnoyarsk 660036, Russia.
Soil & Water Management & Crop Nutr Lab, Joint FAO IAEA Ctr Nucl Tech Food & Agr, A-2444 Seibersdorf, Austria.

Доп.точки доступа:
Lin, Yi-Han; Lee, Pei-Chen; Menyailo, Oleg, V; Cheng, Chih-Hsin; Ministry of Science and Technology of TaiwanMinistry of Science and Technology, Taiwan; Russian Foundation for Basic Research (RFBR)Russian Foundation for Basic Research (RFBR); NTU Core Consortiums