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

[Text] / J. . Heintzenberg [et al.] // Atmos. Chem. Phys. - 2011. - Vol. 11, Is. 16. - P8703-8719, DOI 10.5194/acp-11-8703-2011. - Cited References: 65. - The Max Planck Society in collaboration with the V. N. Sukachev Institute of Forest established the ZOTTO facility after many years of preparatory fieldwork, planning and massive investments. We thank E.-D. Schulze and M. Heimann (MPI Biogeochemistry), A. A. Onuchin, and S. Verchovetz, (V. N. Sukachev Institute of Forest) for their contributions to the establishment and management of ZOTTO, and Y. Kisilyakhov, A. Tsukanov (V. N. Sukachev Institute of Forest), M. Welling and N. Jurgens (MPI Chemistry), as well as S. Leinert and T. Muller (IfT) for technical support. The ZOTTO project is funded by the Max Plank Society through the International Science and Technology Center (ISTC) partner project #2757p within the framework of the proposal 'Observing and Understanding Biogeochemical Responses to Rapid Climate Changes in Eurasia', and by the German Research Council (DFG). We thank S. Schmidt and K. Kubler (MPI Jena) for their continuous logistic assistance during the experiment. We acknowledge U. Riebel (Technical University of Cottbus, Chair for Particle Technology) for generously sharing his technology of the corona discharge based aerosol neutralizer. We thank A. Wiedensohler (IfT Leipzig) for the fruitful discussions about environmental aerosol charging. . - 17. - ISSN 1680-7316РУБ Meteorology & Atmospheric Sciences

Аннотация: This paper analyses aerosol particle number size distributions, particulate absorption at 570 nm wavelength and carbon monoxide (CO) measured between September 2006 and January 2010 at heights of 50 and 300 m at the Zotino Tall Tower Facility (ZOTTO) in Siberia (60.8 degrees N; 89.35 degrees E). Average number, surface and volume concentrations are broadly comparable to former studies covering shorter observation periods. Fits of multiple lognormal distributions yielded three maxima in probability distribution of geometric mean diameters in the Aitken and accumulation size range and a possible secondary maximum in the nucleation size range below 25 nm. The seasonal cycle of particulate absorption shows maximum concentrations in high winter (December) and minimum concentrations in mid-summer (July). The 90th percentile, however, indicates a secondary maximum in July/August that is likely related to forest fires. The strongly combustion derived CO shows a single winter maximum and a late summer minimum, albeit with a considerably smaller seasonal swing than the particle data due to its longer atmospheric lifetime. Total volume and even more so total number show a more complex seasonal variation with maxima in winter, spring, and summer. A cluster analysis of back trajectories and vertical profiles of the pseudo-potential temperature yielded ten clusters with three levels of particle number concentration: Low concentrations in Arctic air masses (400-500 cm(-3)), mid-level concentrations for zonally advected air masses from westerly directions between 55 degrees and 65 degrees N (600-800 cm(-3)), and high concentrations for air masses advected from the belt of industrial and population centers in Siberia and Kazakhstan (1200 cm(-3)). The observational data is representative for large parts of the troposphere over Siberia and might be particularly useful for the validation of global aerosol transport models.

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Держатели документа:
[Heintzenberg, J.
Birmili, W.
Otto, R.] Leibniz Inst Tropospher Res, D-04318 Leipzig, Germany
[Andreae, M. O.
Mayer, J. -C.
Chi, X.] Max Planck Inst Chem, D-55020 Mainz, Germany
[Panov, A.] Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Heintzenberg, J...; Birmili, W...; Otto, R...; Andreae, M.O.; Mayer, J.C.; Chi, X...; Panov, A...

[Text] / T. T. Efremova, S. P. Efremov, A. F. Avrova // Eurasian Soil Sci. - 2010. - Vol. 43, Is. 8. - P858-866, DOI 10.1134/S106422931008003X. - Cited References: 11. - This work was supported by the Russian Foundation for Basic Research, project no. 08-04-92501. . - 9. - ISSN 1064-2293РУБ Soil Science

Аннотация: A formalized arrangement of morphogenetic types of litter according to the physicochemical parameters provided their significant grouping in three genetic associations. The litter group (highly decomposed + moderately decomposed) is confined to the tall-grass group of bog birch forests. The rhizomatous (roughly decomposed) litter is formed in the sedge-reed grass bog birch forests. The litter group (peaty + peatified + peat) is associated with the bog-herbaceous-moss group of forest types. The genetic associations of the litters (a) reliably characterize the edaphic conditions of bog birch forests and (b)correspond to formation of the peat of certain ecological groups. We found highly informative the acid-base parameters, the exchangeable cations (Ca(2+) + Mg(2+)) and the total potential acidity, which differentiated the genetic associations of litter practically with 100% probability. The expediency of studying litters under groups of forest types rather than under separate types of bog birch forests was demonstrated.

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Держатели документа:
[Efremova, T. T.
Efremov, S. P.
Avrova, A. F.] Russian Acad Sci, Sukachev Inst Forestry, Siberian Div, Akad Gorodok, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Efremova, T.T.; Efremov, S.P.; Avrova, A.F.

[Текст] / D. L. Grodnitsky // Zhurnal Obshchei Biol. - 2001. - Vol. 62, Is. 2. - С. 99-109. - Cited References: 108 . - 11. - ISSN 0044-4596РУБ Biology

Аннотация: There are two evolutionary theories in current biology-"modem synthesis" and "epigenetic theory". The first one is based on the assumption of hard correspondence between phenotypes and genotypes. For this reason the theory of modem synthesis is principally incompatible with developmental biology. In contrast, the epigenetic theory considers evolution as a process of environmentally controlled transformation of ontogeny. It is compatible with observed embryological regularities and used as a basis for wider evolutionary synthesis combining both Darwinian and Lamarckian mechanisms. Individual developmental system can generate only a constrained number of morphologic states. This circumstance is a nomogenetic component of the epigenetic theory: the same morphosis simultaneously appears in a number of individuals in response to environmental influence. Since the initial phenotypic change occurs to be not random, a meeting of a female and a male with the same morphosis is an event of sufficiently high probability. The nomogenetic component allows to get over the famous argument of F. Jenkin-a problem that is still difficult to explain in terms of the theory of modem synthesis.

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Держатели документа:
Russian Acad Sci, Sukachev Inst Forest Res, Siberian Branch, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Grodnitsky, D.L.

/ T. R. Iskhakov, V. G. Soukhovolsky // Doklady Biochemistry and Biophysics. - 2004. - Vol. 399, Is. 1-6. - P365-367, DOI 10.1007/s10628-005-0009-7 . - ISSN 1607-6729

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Держатели документа:
Krasnoyarsk State University, Krasnoyarsk, 660062, Russian Federation
Sukachev Institute of Forestry, Siberian Division, Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Iskhakov, T.R.; Soukhovolsky, V.G.

/ T. T. Efremova [и др.] // Izv. Akad. Nauk Ser. Geogr. - 2003. - Is. 3. - С. 36-43 . - ISSN 0373-2444
Аннотация: Na, Br, Cs, Ca, Mg, Ba, Cl and Br distribution along the profile of peatland in the process of peat accumulation is regulated by the climatic fluctuation during Holocene. The possibility of using this information for paleoclimate reconstruction has been shown. In all probability it can be considered as the biochemical migration of alkali-earth and alkaline metals in the process of peat formation reflects mainly climatic fluctuations, connected with temperature, and halogens - with moistening factor.

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Держатели документа:
Institute of Forest, Siberian Branch RAS, Novosibirsk, Russian Federation
Inst. of Chem. Kinetics/Combustion, Siberian Branch RAS, Novosibirsk, Russian Federation
United Institute of Nuclear Studies, Moscow, Russian Federation

Доп.точки доступа:
Efremova, T.T.; Efremov, S.P.; Kutzenogy, K.P.; Peresedov, V.F.

/ A. Kryazhimskiy [et al.] // Technol. Forecast. Soc. Change. - 2015. - Vol. 98. - P245-254, DOI 10.1016/j.techfore.2015.06.003 . - ISSN 0040-1625
Аннотация: This paper deals with the issue of reconciling gaps between stochastic estimates (probability distributions) provided by alternative statistically inaccurate observation/estimation techniques. We employ a posterior reconciliation (integration) method based on selection of mutually compatible test outcomes. Unlike other methods used in this context, the posterior integration method employed does not include assessment of the credibility of the original (prior) estimation sources, which is usually based on analysis of their past performance. The quality of the resulting posterior integrated distribution is evaluated in terms of change in the variance. The method is illustrated by integration of stochastic estimates of the annual net primary production (NPP) of forest ecosystems in seven bioclimatic zones of Russia. The estimates result from the use of two alternative NPP estimation techniques - the landscape-ecosystem approach based on empirical knowledge, and an ensemble of dynamic global vegetation models. The estimates differ by up to 23%. Elimination of these gaps could help better quantify the terrestrial ecosystems' input to the global carbon cycle. The paper suggests a set of candidates for credible integrated NPP estimates for Russia, which harmonize those provided by two alternative sources. © 2015 Elsevier Inc.

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Держатели документа:
International Institute for Applied Systems Analysis, Schlossplatz 1, Laxenburg, Austria
Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, 2nd Educational Building, Leninskie Gory, Moscow, Russian Federation
Steklov Mathematical Institute, 8 Gubkina str., Moscow, Russian Federation
Sukachev Institute of Forest, Siberian Branch RAS, Akademgorodok, Krasnoyarsk, Russian Federation
Department of International Information, Lviv Polytechnic National University, 12 Bandera str., Lviv, Ukraine
Moscow State Forest University, 1 Institutskayastr., Mytischi, Moscow region, Russian Federation

Доп.точки доступа:
Kryazhimskiy, A.; Rovenskaya, E.; Shvidenko, A.; Gusti, M.; Shchepashchenko, D.; Veshchinskaya, V.

/ E. I. Ponomarev, A. S. Skorobogatova, T. V. Ponomareva // Russ. Meteorol. Hydrol. - 2018. - Vol. 43, Is. 7. - P456-463, DOI 10.3103/S1068373918070051. - Cited References:22. - The research was supported by the Russian Foundation for Basic Research, Government of the Krasnoyarsk krai, and Krasnoyarsk Krai Foundation for Research and Development Support (grant 17-41-240475). . - ISSN 1068-3739. - ISSN 1934-8096РУБ Meteorology & Atmospheric Sciences

Аннотация: Subregional occurrence of fires in Siberian forests and seasonal variations in heat and moisture supply are analyzed. Instrumental data on wildfires registered through satellite monitoring data for the period of 1996-2016 are used. The dynamics of the weather fire danger index (PV-1) and intraseasonal anomalies of the Selyaninov's hydrothermal coefficient (HTC) defining fire occurrence variation are revealed using meteorological data series for the Siberian subregions. The statistical regularities of the dynamics of the weather fire danger index are summarized for subregions. The separated scenarios are formalized by model functions. The projections of the probability of the scenarios' implementation, the fire return period, and the respective relative burned area are determined.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Akademgorodok 50,Str 28, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Svobodnyi Pr 79, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Ponomarev, E. I.; Skorobogatova, A. S.; Ponomareva, T. V.; Russian Foundation for Basic Research, Government of the Krasnoyarsk krai; Krasnoyarsk Krai Foundation for Research and Development Support [17-41-240475]

/ F. N. Tomilin [et al.] // J. Mol. Model. - 2018. - Vol. 24, Is. 11, DOI 10.1007/s00894-018-3859-5 . - ISSN 1610-2940
Аннотация: The correlation between the kinetic stability of molecules against temperature and variations in their geometric structure under optical excitation is investigated by the example of different organic pheromone molecules sensitive to temperature or ultraviolet radiation using the density functional theory. The kinetic stability is determined by the previously developed method based on the calculation of the probability of extension of any structural bond by a value exceeding the limit value Lмах corresponding to the breaking of the bond under temperature excitation. The kinetic stability calculation only requires the eigenfrequencies and vibrational mode vectors in the molecule ground state to be calculated, without determining the transition states. The weakest bonds in molecules determined by the kinetic stability method are compared with the bond length variations in molecules in the excited state upon absorption of light by a molecule. Good agreement between the results obtained is demonstrated and the difference between them is discussed. The universality of formulations within both approaches used to estimate the stability of different pheromone molecules containing strained cycles and conjugated, double, and single bonds allows these approaches to be applied for studying other molecules. [Figure not available: see fulltext.]. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

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Держатели документа:
Kirensky Institute of Physics, Federal Research Center KSC SB RAS, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Krasnoyarsk, 660041, Russian Federation
Federal Research Center KSC SB RAS, International Scientific Center for Extreme Organism States Research, Krasnoyarsk, 660036, Russian Federation
Sukachev Institute of Forest, Federal Research Center KSC SB RAS, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Tomilin, F. N.; Fedorov, A. S.; Artyushenko, P. V.; Ovchinnikov, S. G.; Ovchinnikova, T. M.; Tsikalova, P. E.; Soukhovolsky, V. G.

/ E. I. Ponomarev, E. G. Shvetsov, Y. O. Usataya // Izv. Atmos. Ocean. Phys. - 2018. - Vol. 54, Is. 9. - P979-985, DOI 10.1134/S000143381809030X. - Cited References:23. - This work was supported by the Russian Science Foundation, project no. 14-24-00112, the Russian Foundation for Basic Research, the Government of the Krasnoyarsk Territory, and the Krasnoyarsk Territory Fund for Support of Scientific, Scientific and Technical Activities, projects nos. 15-45-04423 and 17-41-240475. . - ISSN 0001-4338. - ISSN 1555-628XРУБ Meteorology & Atmospheric Sciences + Oceanography

Аннотация: As applied to the conditions of wildfires in Siberia, remote sensing is adapted to record the radiation power from the active fire zone in the range of 3.929-3.989 m (Terra/MODIS data). The limits of variation of the detected values of heat radiation are evaluated. Sporadic peaks that exceed the mean value of heat radiation in the fire field by a value of 2.5 sigma were correlated with high-intensity fires, including crown fires. The probability of remote fire detection in crown stage was no less than 65%. The quantitative dependence of the Fire Radiative Power (FRP) on the area of the active zone was determined using a subpixel analysis. The fraction of forest fires in Siberia with areas of extreme heat radiation is shown to be 5.5 +/- 1.2% of the total wildfires. The total area of high-intensity wildfires including crown fires is at least 8.5% of the average annual wildfire area and reaches values of 15-25% during extreme fire seasons.

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Держатели документа:
Russian Acad Sci, VN Sukachev Inst Forest, Krasnoyarsk Sci Ctr, Fed Res Ctr,Siberian Branch, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Ponomarev, E. I.; Shvetsov, E. G.; Usataya, Yu. O.; Russian Science Foundation [14-24-00112]; Russian Foundation for Basic Research; Government of the Krasnoyarsk Territory; Krasnoyarsk Territory Fund for Support of Scientific, Scientific and Technical Activities [15-45-04423, 17-41-240475]

/ A. V. Lapko [et al.] // Optoelectron. Instrum. Data Proc. - 2019. - Vol. 55, Is. 3. - P230-236, DOI 10.3103/S8756699019030038. - Cited References:18. - This work was supported by the Russian Foundation for Basic Research (Grant No. 18-01-00251). . - ISSN 8756-6990. - ISSN 1934-7944РУБ Physics, Multidisciplinary

Аннотация: A nonparametric algorithm of automatic classification of large arrays of statistical data is considered. Its synthesis is based on decomposition of initial data. The results of decomposition form a set of centers of multidimensional intervals and the corresponding frequencies of occurrence of values of random variables. Based on information obtained, classes corresponding to single-mode fragments of the probability density of features of examined objects are detected. The spatial interpretation of automatic classification results is analyzed. The nonparametric algorithms developed in the study are important tools of processing of data obtained by remote sensing of natural resources.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Computat Modeling, Akademgorodok 50,Bldg 44, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Akademgorodok 50,Bldg 28, Krasnoyarsk 660036, Russia.
Reshetnev Siberian Univ Sci & Technol, Pr Im Gazety Krasnoyarskii Rabochii 31, Krasnoyarsk 660037, Russia.

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.; Im, S. T.; Tuboltsev, V. P.; Avdeenok, V. A.; Russian Foundation for Basic Research [18-01-00251]

[Текст] : статья / Вячеслав Иванович Харук [и др.] // Сибирский экологический журнал. - 2019. - Т. 26, № 4. - С. 369-382, DOI 10.15372/SEJ20190401 . - ISSN 0869-8619
   Перевод заглавия: FIR (ABIES SIBIRICA LEDEB.) MORTALITY IN MOUNTAIN FORESTS OF EASTERN SAYAN RIDGE, SIBERIA

УДК

630*111

630*113

574.42

Аннотация: Анализировались индекс радиального прироста (ИП) Abies sibirica Ledeb. и динамика массового усыхания пихтовых древостоев в горных лесах Восточного Саяна (заповедник “Столбы”). Беспрецедентное по масштабам усыхание пихты оказалось спровоцировано водным стрессом, обусловленным возрастанием температуры воздуха, в синергизме с воздействием уссурийского полиграфа ( Polygraphus proximus Blandford), ксилофага, ранее не наблюдавшегося в ареале Abies sibirica . В начальной фазе потепления климата наблюдалось возрастание ИП, сменившееся его депрессией в 1985-2017 гг. Усыханию пихтарников предшествовало усиление зависимости ИП от индекса сухости SPEI и влажности корнеобитаемого слоя (ВКС). При этом ИП когорты усохших деревьев сильнее зависел от ВКС ( r ² = 0,56) и SPEI ( r ² = 0,74), чем ИП когорты выживших деревьев ( r ² = 0,15 и r ² = 0,39 соответственно). Усыхание пихты началось в 2000-х гг., когда ослабленные водным стрессом пихтарники подверглись атаке уссурийского полиграфа. В этот период погибшие древостои локализовались преимущественно на элементах рельефа с наибольшей вероятностью водного стресса (крутые склоны, расположенные в “дождевой тени”). К 2017 г. усыхание распространилось на всю территорию пихтарников, что привело к гибели ~75 % древостоев. В данный период наблюдалась тесная связь ИП со смертностью деревьев пихты ( r = -0,79). Выжившие деревья по сравнению с усохшими произрастали в условиях более высокой влажности корнеобитаемой зоны. Примечательна близость траекторий ИП когорт усохших и живых деревьев, что указывает на вероятность гибели живых деревьев в условиях прогнозируемого возрастания засушливости климата.
In the initial phase of climate warming, an increase in radial increment was observed, which was replaced by a depression in 1985-2017. The declining of fir trees was preceded by an increase in the relationship between growth index and SPEI, also between growth index and root zone moisture content. At the same time, growth index of the declining cohort was more closely associated with root zone moisture content ( r² = 0.56) and SPEI ( r ² = 0.74) than growth index of the surviving cohort ( r ² = 0.15 and r ² = 0.39, respectively). Fir declining began in the 2000s, when Abies sibirica trees, weakened by water stress, were attacked by Polygraphus proximus Blandford. During this period, dead stands were localized mainly on the relief elements with the highest probability of water stress (steep slopes located in “rain shadow”). By 2017, the declining spread throughout the entire territory of fir stands, which led to the mortality of ~75 % of fir stands. During the period of tree declining, a close relationship was observed between growth index and fir mortality ( r = -0.79). The surviving trees grew in conditions of a higher humidity of root zone (compared to declining trees). Noteworthy is the proximity of growth index trajectories of cohorts of declining and surviving trees, which indicates the probability of mortality of surviving trees in the context of a predicted climate aridity increase.

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SPRINGER

Держатели документа:
Государственный природный заповедник “Столбы”
Институт леса им. В. Н. Сукачева СО РАН : 660036, Красноярск, Академгородок, 50, стр. 28
Сибирский государственный университет науки и технологий им. М. Ф. Решетнева
Сибирский федеральный университет

Доп.точки доступа:
Харук, Вячеслав Иванович; KHARUK V.I.; Шушпанов, Александр Сергеевич; SHUSHPANOV A.S.; Петров, Илья Андреевич; PETROV I.A.; Демидко, Денис Александрович; DEMIDKO D.A.; Им, Сергей Тхекдеевич; IM S.T.; Кнорре, Анастасия Алексеевна; KNORRE A.A.

/ V. I. Kharuk [et al.] // Contemp. Probl. Ecol. - 2019. - Vol. 12, Is. 4. - P299-309, DOI 10.1134/S199542551904005X. - Cited References:38. - This work was supported by the Russian Foundation for Basic Research, project nos. 18-45-240003 and 18-05-00432. Dendrochronological and dendroclimatic analysis was performed with support from the Russian Science Foundation, project no. 17-74-10113. . - ISSN 1995-4255. - ISSN 1995-4263РУБ Ecology

Аннотация: The radial increment of Abies sibirica Ledeb. and mortality dynamics of fir stands in the mountain forests of the Eastern Sayan (Stolby State Nature Reserve) have been analyzed. The unprecedented decline in fir stands is caused by water stress due to an increase in air temperature and synergy with the impact of the Polygraphus proximus Blandford. This xylophage was not previously observed in the Abies sibirica range. In the initial phase of climate warming, an increase in radial increment was observed, which was replaced by a depression in 1985-2017. The declining of fir trees was preceded by an increase in the relationship between growth index and SPEI, as well as between the growth index and root-zone moisture content. At the same time, the growth index of the declining cohort was more closely associated with the root zone moisture content (r(2) = 0.56) and SPEI (r(2) = 0.74) than the growth index of the surviving cohort (r(2) = 0.15 and r(2) = 0.39, respectively). The decline in fir began in the 2000s, when Polygraphus proximus Blandford attacked trees Abies sibirica. During this period, dead stands were localized mainly on the relief elements with the highest probability of water stress (steep slopes located in a "rain shadow"). By 2017, the decline spread throughout the entire territory of fir stands, which led to the mortality of similar to 75% of fir stands. During the period of tree decline, a close relationship was observed between growth index and fir mortality (r = -0.79). The surviving trees grew under conditions of a higher root-zone humidity (compared to declining trees). The proximity of growth-index trajectories of cohorts of declining and surviving trees, which indicates the probability of mortality of surviving trees in the context of a predicted climate aridity increase, is noteworthy.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsk 660037, Russia.
Stolby State Nat Reserve, Krasnoyarsk 660006, Russia.

Доп.точки доступа:
Kharuk, V. I.; Shushpanov, A. S.; Petrov, I. A.; Demidko, D. A.; Im, S. T.; Knorre, A. A.; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [18-45-240003, 18-05-00432]; Russian Science FoundationRussian Science Foundation (RSF) [17-74-10113]

[Текст] : статья / Д. Г. Замолодчиков [и др.] // Лесоведение. - 2019. - № 5. - С. 323-340, DOI 10.1134/S0024114819050127 . - ISSN 0024-1148
   Перевод заглавия: Contribution of Academician A.S. Isaev to Advancement of Forest Science

УДК	630*453+630*58+630*162.5+630*182.3

Аннотация: Рассмотрен вклад академика А.С. Исаева в развитие лесной науки. Наиболее существенные достижения находятся в русле четырех направлений: лесная энтомология, аэрокосмический мониторинг лесов, цикл углерода в лесах, биоразнообразие лесов. В области лесной энтомологии А.С. Исаевым с соавторами предложена феноменологическая теория динамики численности лесных насекомых. Эта теория объясняет все возможные режимы динамики численности, не требует построения конкретных математических моделей динамики численности популяции, указывает, какие ключевые характеристики динамики необходимо оценить для определения возможности и рисков вспышек массового размножения. А.С. Исаев одним из первых понял огромные возможности аэрокосмического мониторинга лесов. Им была предложена концепция многоуровневой системы дистанционного мониторинга лесов, способная решать разнообразные научные и практические задачи. Большое внимание А.С. Исаев уделил проблеме углеродного цикла лесов в связи с проблемой изменения климата. В его публикациях даны первые оценки запасов и депонирования углерода лесами России, полученные на основе лесоучетной информации. Методы расчета углеродных параметров, предложенные в этих работах, были позже закреплены в руководствах МГЭИК по составлению национальных кадастров парниковых газов. Методология мониторинга биоразнообразия лесов, разработанная под руководством академика А.С. Исаева, базируется на концептуальном подходе, учитывающем пространственно-временную динамику лесообразовательного процесса, с применением методов математического моделирования, позволяющего интерпретировать процессы и прогнозировать изменения. Данная технология обеспечивает выявление тенденций изменения породно-возрастной структуры лесов и позволяет осуществлять прогнозное моделирование их естественной и антропогенной динамики при различных режимах охраны, использования и воспроизводства.
The contribution of academician A.S. Isaev to advancement of forest science is considered. The most significant achievements were in the spheres of forest entomology, aerospace monitoring of forests, forest carbon cycle and forest biodiversity. A.S. Isaev and coauthors have put forward phenomenological theory of population dynamics of forest insects. It encompasses all possible types of population dynamics, it does not demand the specific mathematical models of population dynamics and points at the key features, controlling the probability and risks of the outbreaks. A.S. Isaev was among the pioneers of aerospace monitoring of forests. He proposed the concept of multi-layered system of the remote monitoring of forests to address various research and applied demands. A.S. Isaev have payed high attention to forest carbon cycle associated to the challenges of climate change. He have published the first estimates of the forest carbon storage and deposition in Russia based on the forest inventory data. The methods of accounting of carbon were later included in technical guidance of the IPCC on the National Reporting on Inventory of Greenhouse Gases. The technology of monitoring of biodiversity of forest developed under the supervision of academician A.S. Isaev takes into account spatiotemporal dynamics of forest forming processes, applies mathematical modeling of processes and forecasts changes. It allows deciphering the trends in species and age structure of forests and model predictions of natural and human-induced dynamics under different protection, exploitation and regeneration.

РИНЦ

Держатели документа:
Институт космических исследований РАН
Институт леса им. В.Н. Сукачева СО РАН : 660036, Красноярск, Академгородок, 50, стр. 28
Московский государственный университет имени М.В. Ломоносова, биологический ф-т
Центр по проблемам экологии и продуктивности лесов РАН

Доп.точки доступа:
Замолодчиков, Д.Г.; Zamolodchikov D.G.; Суховольский, Владислав Григорьевич; Soukhovolsky Vladislav Grigor'yevich; Барталев, С.А.; Bartalev S.A.; Лукина, Н.В.; Lukina N.V.

/ D. G. Zamolodchikov, V. G. Sukhovol’skii, S. A. Bartalev, N. V. Lukina // Russ. J. For. Sci. - 2019. - Vol. 2019, Is. 5. - С. 323-340, DOI 10.1134/S0024114819050127 . - ISSN 0024-1148
Аннотация: The contribution of academician A.S. Isaev to advancement of forest science is considered. The most significant achievements were in the spheres of forest entomology, aerospace monitoring of forests, forest carbon cycle and forest biodiversity. A.S. Isaev and coauthors have put forward phenomenological theory of population dynamics of forest insects. It encompasses all possible types of population dynamics, it does not demand the specific mathematical models of population dynamics and points at the key features, controlling the probability and risks of the outbreaks. A.S. Isaev was among the pioneers of aerospace monitoring of forests. He proposed the concept of multi-layered system of the remote monitoring of forests to address various research and applied demands. A.S. Isaev have payed high attention to forest carbon cycle associated to the challenges of climate change. He have published the first estimates of the forest carbon storage and deposition in Russia based on the forest inventory data. The methods of accounting of carbon were later included in technical guidance of the IPCC on the National Reporting on Inventory of Greenhouse Gases. The technology of monitoring of biodiversity of forest developed under the supervision of academician A.S. Isaev takes into account spatiotemporal dynamics of forest forming processes, applies mathematical modeling of processes and forecasts changes. It allows deciphering the trends in species and age structure of forests and model predictions of natural and human-induced dynamics under different protection, exploitation and regeneration. © 2019, Izdatel'stvo Nauka. All rights reserved.

Scopus

Держатели документа:
Faculty of Biology, Lomonosov Moscow State University, Leninskie Gory 1 bldg. 12, Moscow, 119991, Russian Federation
Center for Forest Ecology and Productivity of the Russian Academy of Sciences, Profsoyuznaya st. 84/32 bldg, 14, Moscow, 117997, Russian Federation
Forest Institute, Siberian Branch of the Russian Academy of Sciences, Academgorodok 50 bldg. 28, Krasnoyarsk, 660036, Russian Federation
Space Research Institute, Russian Academy of Sciences, Profsoyuznaya st. 84/32, Moscow, 117997, Russian Federation

Доп.точки доступа:
Zamolodchikov, D. G.; Sukhovol’skii, V. G.; Bartalev, S. A.; Lukina, N. V.

/ E. A. Babushkina, D. F. Zhirnova, L. V. Belokopytova [et al.] // Forests. - 2021. - Vol. 12, Is. 2. - Ст. 174. - P1-19, DOI 10.3390/f12020174 . - ISSN 1999-4907
Аннотация: Improvement of dendrochronological crops yield reconstruction by separate application of earlywood and latewood width chronologies succeeded in rain-fed semiarid region. (1) Background: Tree-ring width chronologies have been successfully applied for crops yield reconstruction models. We propose application of separated earlywood and latewood width chronologies as possible pre-dictors improving the fitness of reconstruction models. (2) Methods: The generalized yield series of main crops (spring wheat, spring barley, oats) were investigated in rain-fed and irrigated areas in semiarid steppes of South Siberia. Chronologies of earlywood, latewood, and total ring width of Siberian larch (Larix sibirica Ledeb.) growing in forest-steppe in the middle of the study area were tested as predictors of yield reconstruction models. (3) Results: In the rain-fed territory, separation of earlywood and latewood allowed increasing variation of yield explained by reconstruction model from 17.4 to 20.5%, whereas total climatic-driven component of variation was 41.5%. However, both tree-ring based models explained only 7.7% of yield variation in the irrigated territory (climate inclusion increased it to 34.8%). Low temperature sensitivity of larch growth was the main limitation of the model. A 240-year (1780–2019) history of crop failures and yield variation dynamics were estimated from the actual data and the best reconstruction model. (4) Conclusions: Presently in the study region, breeding of the environment-resistant crops varieties compensates the increase of temperature in the yield dynamics, preventing severe harvest losses. Tree-ring based reconstructions may help to understand and forecast response of the crops to the climatic variability, and also the probability of crop failures, particularly in the rain-fed territories. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Scopus

Держатели документа:
Khakass Technical Institute, Siberian Federal University, Abakan, 655017, Russian Federation
Birbal Sahni Institute of Palaeosciences, Lucknow, 226 007, India
Department of Crop Production, Breeding and Seed Development, Krasnoyarsk State Agrarian University, Krasnoyarsk, 660049, Russian Federation
Rectorate, Siberian Federal University, Krasnoyarsk, 660036, Russian Federation
Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Babushkina, E. A.; Zhirnova, D. F.; Belokopytova, L. V.; Mehrotra, N.; Shah, S. K.; Keler, V. V.; Vaganov, E. A.

/ E. A. Babushkina, D. F. Zhirnova, L. V. Belokopytova [et al.] // Forests. - 2021. - Vol. 12, Is. 2. - Ст. 174, DOI 10.3390/f12020174. - Cited References:90. - This research was funded by the Ministry of Science and Higher Education of the Russian Federation, scientific topic code FSRZ-2020-0010, and the Russian Foundation for Basic Research, grant number 20-016-00049. . - ISSN 1999-4907РУБ Forestry

Аннотация: Improvement of dendrochronological crops yield reconstruction by separate application of earlywood and latewood width chronologies succeeded in rain-fed semiarid region. (1) Background: Tree-ring width chronologies have been successfully applied for crops yield reconstruction models. We propose application of separated earlywood and latewood width chronologies as possible predictors improving the fitness of reconstruction models. (2) Methods: The generalized yield series of main crops (spring wheat, spring barley, oats) were investigated in rain-fed and irrigated areas in semiarid steppes of South Siberia. Chronologies of earlywood, latewood, and total ring width of Siberian larch (Larix sibirica Ledeb.) growing in forest-steppe in the middle of the study area were tested as predictors of yield reconstruction models. (3) Results: In the rain-fed territory, separation of earlywood and latewood allowed increasing variation of yield explained by reconstruction model from 17.4 to 20.5%, whereas total climatic-driven component of variation was 41.5%. However, both tree-ring based models explained only 7.7% of yield variation in the irrigated territory (climate inclusion increased it to 34.8%). Low temperature sensitivity of larch growth was the main limitation of the model. A 240-year (1780-2019) history of crop failures and yield variation dynamics were estimated from the actual data and the best reconstruction model. (4) Conclusions: Presently in the study region, breeding of the environment-resistant crops varieties compensates the increase of temperature in the yield dynamics, preventing severe harvest losses. Tree-ring based reconstructions may help to understand and forecast response of the crops to the climatic variability, and also the probability of crop failures, particularly in the rain-fed territories.

WOS

Держатели документа:
Siberian Fed Univ, Khakass Tech Inst, Abakan 655017, Russia.
Birbal Sahni Inst Palaeosci, Lucknow 226007, Uttar Pradesh, India.
Krasnoyarsk State Agr Univ, Dept Crop Prod Breeding & Seed Dev, Krasnoyarsk 660049, Russia.
Siberian Fed Univ, Rectorate, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Babushkina, Elena A.; Zhirnova, Dina F.; Belokopytova, Liliana, V; Mehrotra, Nivedita; Shah, Santosh K.; Keler, Viktoria V.; Vaganov, Eugene A.; Ministry of Science and Higher Education of the Russian Federation [FSRZ-2020-0010]; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [20-016-00049]

/ I. V. Zenkov, A. V. Lapko, V. A. Lapko [и др.] // Comput. Opt. - 2021. - Vol. 45, Is. 2. - С. 253-+, DOI 10.18287/2412-6179-CO-801. - Cited References:13. - The research was funded by RFBR, Krasnoyarsk Territory and Krasnoyarsk Regional Fund of Science, project number 20-41-240001. . - ISSN 0134-2452. - ISSN 2412-6179РУБ Optics

Аннотация: A nonparametric algorithm for automatic classification of large statistical data sets is proposed. The algorithm is based on a procedure for optimal discretization of the range of values of a random variable. A class is a compact group of observations of a random variable corresponding to a unimodal fragment of the probability density. The considered algorithm of automatic classification is based on the "compression" of the initial information based on the decomposition of a multidimensional space of attributes. As a result, a large statistical sample is transformed into a data array composed of the centers of multidimensional sampling intervals and the corresponding frequencies of random variables. To substantiate the optimal discretization procedure, we use the results of a study of the asymptotic properties of a kernel-type regression estimate of the probability density. An optimal number of sampling intervals for the range of values of one- and two-dimensional random variables is determined from the condition of the minimum root-mean square deviation of the regression probability density estimate. The results obtained are generalized to the discretization of the range of values of a multidimensional random variable. The optimal discretization formula contains a component that is characterized by a nonlinear functional of the probability density. An analytical dependence of the detected component on the antikurtosis coefficient of a one-dimensional random variable is established. For independent components of a multidimensional random variable, a methodology is developed for calculating estimates of the optimal number of sampling intervals for random variables and their lengths. On this basis, a nonparametric algorithm for the automatic classification is developed. It is based on a sequential procedure for checking the proximity of the centers of multidimensional sampling intervals and relationships between frequencies of the membership of the random variables from the original sample of these intervals. To further increase the computational efficiency of the proposed automatic classification algorithm, a multithreaded method of its software implementation is used. The practical significance of the developed algorithms is confirmed by the results of their application in processing remote sensing data.

WOS

Держатели документа:
Siberian Fed Univ, Svobodny Av 79, Krasnoyarsk 660041, Russia.
Inst Computat Modelling SB RAS, Akademgorodok 50, Krasnoyarsk 660036, Russia.
Sukachev Inst Forest SB RAS, Akademgorodok 50, Krasnoyarsk 660036, Russia.
Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsky Rabochy Av 31, Krasnoyarsk 660037, Russia.
Fed Res Ctr Informat & Computat Technol, Krasnoyarsk Branch, Mira Av 53, Krasnoyarsk 660049, Russia.

Доп.точки доступа:
Zenkov, I., V; Lapko, A., V; Lapko, V. A.; Im, S. T.; Tuboltsev, V. P.; Avdeenok, V. L.; RFBRRussian Foundation for Basic Research (RFBR); Krasnoyarsk Regional Fund of Science [20-41-240001]; Krasnoyarsk Territory

/ I. V. Zenkov, A. V. Lapko, V. А. Lapko [и др.] // Comput. Opt. - 2021. - Vol. 45, Is. 2. - С. 253-260, DOI 10.18287/2412-6179-CO-801 . - ISSN 0134-2452
Аннотация: A nonparametric algorithm for automatic classification of large statistical data sets is proposed. The algorithm is based on a procedure for optimal discretization of the range of values of a random variable. A class is a compact group of observations of a random variable corresponding to a unimodal fragment of the probability density. The considered algorithm of automatic classification is based on the «compression» of the initial information based on the decomposition of a multidimensional space of attributes. As a result, a large statistical sample is transformed into a data array composed of the centers of multidimensional sampling intervals and the corresponding frequencies of random variables. To substantiate the optimal discretization procedure, we use the results of a study of the asymptotic properties of a kernel-type regression estimate of the probability density. An optimal number of sampling intervals for the range of values of one-and twodimensional random variables is determined from the condition of the minimum root-mean square deviation of the regression probability density estimate. The results obtained are generalized to the discretization of the range of values of a multidimensional random variable. The optimal discretization formula contains a component that is characterized by a nonlinear functional of the probability density. An analytical dependence of the detected component on the antikurtosis coefficient of a one-dimensional random variable is established. For independent components of a multidimensional random variable, a methodology is developed for calculating estimates of the optimal number of sampling intervals for random variables and their lengths. On this basis, a nonparametric algorithm for the automatic classification is developed. It is based on a sequential procedure for checking the proximity of the centers of multidimensional sampling intervals and relationships between frequencies of the membership of the random variables from the original sample of these intervals. To further increase the computational efficiency of the proposed automatic classification algorithm, a multithreaded method of its software implementation is used. The practical significance of the developed algorithms is confirmed by the results of their application in processing remote sensing data. © 2021, Institution of Russian Academy of Sciences. All rights reserved.

Scopus

Держатели документа:
Siberian Federal University, Svobodny Av. 79, Krasnoyarsk, 660041, Russian Federation
Institute of Computational Modelling SB RAS, Akademgorodok 50, Krasnoyarsk, 660036, Russian Federation
Sukachev Institute of Forest SB RAS, Akademgorodok 50, Krasnoyarsk, 660036, Russian Federation
Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation
Krasnoyarsk Branch of the Federal Research Center for Information and Computational Technologies, Mira Av. 53, Krasnoyarsk, 660049, Russian Federation

Доп.точки доступа:
Zenkov, I. V.; Lapko, A. V.; Lapko, V. А.; Im, S. T.; Tuboltsev, V. P.; Аvdeenok, V. L.

/ A. V. Demina, L. V. Belokopytova, D. F. Zhirnova [et al.] // Dendrochronologia. - 2022. - Vol. 71. - Ст. 125903, DOI 10.1016/j.dendro.2021.125903 . - ISSN 1125-7865
Аннотация: Tree rings from forest-steppes of temperate continental Asia are useful proxies for the moisture regime reconstructions, encompassing environmental variations such as warming climate, changing frequency and intensity of droughts. Heterogeneity of precipitation leaves open the question of the probability of spatially large-scale droughts in this macro-region. Theoretically, such events could be driven by global tele-connections and/or common astronomic cycles. We have attempted the precipitation reconstructions of two distant (~1000 km) intermountain valleys in South Siberia, based on the tree ring width of Pinus sylvestris L. To enhance the quality of the precipitation reconstruction models, networks of existing tree-ring data were expanded and daily precision of instrumental precipitation series was implemented for calibration. Within-region (150–200 km) common signal between local chronologies r = 0.37–0.90 (p < 0.05) allowed obtaining regional ones, registering precipitation up to annual temporal scale. High correlations of both regional chronologies with annual precipitation were found for period from previous July 22 to current July 21 (r = 0.71–0.72). These precipitation series were further reconstructed. Reconstruction models explaining 50–52% of variation were developed for the years 1753–2015 and 1798–2015. Although both valleys do not record many concurrent extreme precipitation events, some common and opposite extremes have been revealed. For both regions, an 11-year and 26–29-year cycles were commonly observed. These were probably associated with the solar activity and Pacific Decadal Oscillation (PDO). However, phase shifts of these cycles were recorded between the regions and with PDO. Stronger impact of oceanic air masses was observed in the eastern one of the two considered territories. Whereas higher significance of frequencies associated with astronomic cycles (solar and lunar-nodal) was found in the western one. Data availability: Temperature and precipitation series of climatic stations were obtained from the website of All-Russia Research Institute of Hydrometeorological Information, World Data Centre (RIHMI-WDC, http://meteo.ru/data). Other climatic time series and solar activity series were obtained from the website of The Royal Netherlands Meteorological Institute (KNMI) Climate Explorer (https://climexp.knmi.nl). Used in the study tree-ring width measurements will be submitted to the International Tree-Ring Data Bank (ITRDB; https://www.ncei.noaa.gov/products/paleoclimatology/tree-ring) upon publication of the manuscript and with reference to it. © 2021 Elsevier GmbH

Scopus

Держатели документа:
Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina st, Abakan, 655017, Russian Federation
Birbal Sahni Institute of Palaeosciences, 53 University Road, Lucknow, 226007, India
Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation
Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, 50 bil. 28, Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Demina, A. V.; Belokopytova, L. V.; Zhirnova, D. F.; Mehrotra, N.; Shah, S. K.; Babushkina, E. A.; Vaganov, E. A.

/ D. M. Danilina, D. I. Nazimova, M. E. Konovalova // Contemp. Probl. Ecol. - 2021. - Vol. 14, Is. 7. - P750-759, DOI 10.1134/S1995425521070064. - Cited References:31. - This study was held within the framework of the State Contract of the FRS KSC RAS (0356-2019-0024), and with the financial support from the RFBR (18-05-00781.). . - ISSN 1995-4255. - ISSN 1995-4263РУБ Ecology

Аннотация: The results of stationary studies (1965-2017) on the regularities of the dynamics of the spatial structure of old-growth, cedar-pine forests are shown on the example of a natural-growth, cedar-pine sedge-tall herb-fern forest of the late succession stage (Western Sayan, 53 degrees 01 ' N, 92 degrees 59 ' E, individual test site area of 1.56 ha). It was found that a dynamic balance has been maintained in the structure of the edificator layer for a period of 50 years, while the subedificator layer (fir) has undergone more rapid changes in age structure and affects the relations between the synusiae of lower layer and their role in the regrowth of cedar pine (Pinus sibirica (Du Tour) and Siberian fir (Abies sibirica (Ledeb.). Each synusia is characterised by a relatively constant number of species, dominant-species structure, and ratio of ecocoenotic groups. Tall herb-fern, calamagrostis-dryopteris, aconite-sedge, sedge and oxalis synusiae of different complexities remain the constant structural elements of this type of forest. The roles of the individual herbaceous synusia in cedar pine regrowth have been shown for the tall grass-fern group of forest types. Cedar-pine regrowth is slow in the dominant tall grass-fern synusia and occurs mostly on microrelief, at sites of windfall and fallen trees. Conversely, the competition with the grass is lower in the sedge synusia, and periodical outbreaks of cedar-pine regrowth occur in years of high productivity. However, the probability of seedlings' further survival is low due to competition with the parent trees. The results allow the prediction of the age dynamics of a natural-growth cedar pine forest for the next several decades, under the assumption of climate and weather trends that are typical for the latter century cycle and are without any catastrophic changes. The diversity of microtypes and synusiae supports the sustainability of the entire mountain ecosystem and will play an important role in the modeling of the regrowth and spatial distribution of individual trees during the later stages of fir-cedar pine forest development in the taiga zone of the Sayan mountains.

WOS

Держатели документа:
Russian Acad Sci, Forest Inst, Siberian Branch, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Danilina, D. M.; Nazimova, D., I; Konovalova, M. E.; FRS KSC RAS [0356-2019-0024]; RFBRRussian Foundation for Basic Research (RFBR) [18-05-00781]