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Accumulation of 60Co, 90Sr, 137Cs, 238U and transuranic elements by berry shrubs in forest ecosystems of the Yenisei river basin / D. Dementyev, A. Bolsunovsky // Radioprotection. - 2011. - Vol. 46, Is. 6 SUPPL. - S25-S28, DOI 10.1051/radiopro/20116476s . - ISSN 0033-8451
Аннотация: The study investigates accumulation of radionuclides in 5 species of berry shrubs in forests of the Yenisei River basin (the Krasnoyarskii Krai, Russia). Activity concentrations of 60Co, 90Sr, 137Cs, 238U and transuranic elements in aboveground organs of the shrubs have been determined and their transfer factors calculated. Analysis of the calculated TFs shows that shrubs concentrate 90Sr more effectively than other study elements (TF = 0.25-1.9). The highest concentration of 137Cs is recorded in the berries and leaves of Ribes nigrumand Rubus idaeus. For these species, the range of 137Cs TFs (0.006-0.027) overlaps with the range of 238U TFs (0.004-0.018). For the aboveground parts of Ribes nigrum, TFs for transuranic radionuclides (0.01-0.056) are similar to or higher than the TFs for 238U and 137Cs. В© 2011 EDP Sciences.

Scopus
Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Dementyev, D.; Bolsunovsky, A.

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Principle of the worst scenario in the modelling past and future of biosphere dynamics / S. I. Bartsev, A. G. Degermendzhi, D. V. Erokhin // Ecological Modelling. - 2008. - Vol. 216, Is. 2. - P160-171, DOI 10.1016/j.ecolmodel.2008.03.002 . - ISSN 0304-3800
Кл.слова (ненормированные):
Irreversible biosphere changes -- Minimal model of biosphere -- The worst scenario principle -- Biospherics -- agricultural land -- anthropogenic effect -- atmosphere-biosphere interaction -- carbon dioxide -- deforestation -- Little Ice Age -- numerical model -- Eurasia -- Europe
Аннотация: The "biosphere-climate" system is subjected to different influences (influx of anthropogenic CO2 and pollutants, deforestation, harmful land management, biological species depopulation, etc.). Therefore, the vital question arises: "Can these influences lead to irreversible negative changes in the climate-biosphere system or a global ecological catastrophe?" The possibility of irreversible changes may be not very high, but one cannot ignore it. So the main aim of our investigation is to evaluate possible consequences of human impact on the biosphere focusing on irreversible changes of it. Traditional mathematical complicated models describe the biosphere in great detail, but the large number of equations and parameters leads to accumulation of uncertainties in the forecast due to inevitable uncertainties of experimental estimations of model parameters. An approach based on the principle of the worst scenario was proposed. Minimization of mathematical model with respect to this principle is conducted to study limiting (but possible) versions of models in which the contribution of the possible compensatory and smoothing mechanisms is minimal. Namely the most unfavorable scenarios (corresponding to the values of parameters at the boundaries of confidence interval) have to be considered in estimating consequences of anthropogenic impact. One of the fastest CO2 releasing mechanisms, based on the positive feedback effect, was considered in the context of the worst scenario principle. The family of simple mathematical models was created for biosphere dynamics representation on different timescales. The main result of the investigation consists in confirmation of the possibility of negative and irreversible changes in the "biosphere-climate" system, caused by amplification of the positive feedback: "anthropogenic emission of CO2 - temperature increase - additional CO2 emission due to decomposition of soil organics". Crucial parameters of models, responsible for avalanche-like biosphere changes, are determined. A realizability of hypotheses on anthropogenic causes of Little Ice Age was estimated by corresponding minimal model. Model were used to show the feasibility of the mechanism describing the changing of agricultural field species into indigenous forests in Europe during the Plague, which led to CO2 decrease and temperature fall. В© 2008 Elsevier B.V. All rights reserved.

Scopus
Держатели документа:
Institute of Biophysics SB RAS, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Bartsev, S.I.; Degermendzhi, A.G.; Erokhin, D.V.

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A study of spectral-polarization characteristics of plant canopies using land-based remote sensing / A. F. Sid'ko [et al.] // Journal of Quantitative Spectroscopy and Radiative Transfer. - 2013. - Vol. 129. - P109-117, DOI 10.1016/j.jqsrt.2013.06.001 . - ISSN 0022-4073
Кл.слова (ненормированные):
Farm crops -- Forest stands -- Spectral brightness coefficients -- Spectral-polarization characteristics -- Forest stand -- Near-infrared spectral regions -- Plant reflectance -- Polarized components -- Reflectance spectrum -- Reflection properties -- Spectral brightness -- Spectral-polarization characteristics -- Forestry -- Luminance -- Physiological models -- Polarization -- Reflection -- Crops -- brightness temperature -- canopy reflectance -- crop plant -- nadir -- polarization -- remote sensing -- spectral analysis -- Farm Crops -- Forestry -- Forests -- Polarization -- Reflection -- Triticum aestivum -- Zea mays
Аннотация: The study addresses reflection and spectral-polarization characteristics of forest stands and farm crops obtained under field conditions. The study of the reflection properties of farm crops shows that during the summer plant growing season, the major factors influencing the plant canopy reflectance are morpho-physiological parameters, plant architectonics, solar elevation h0, and viewing angle. The crop reflectance minimum was recorded at viewing angles 25-30В° with respect to the nadir. Coniferous and broadleaf forest stands had similar reflectance spectra of polarized light. The polarized component was smaller for all coniferous stands than for broadleaf ones. For broad-leaved farm crops (wheat and corn), the polarized component of the spectral brightness coefficients had a greater influence on the plant reflectance in the red and near-infrared spectral regions, ?>720nm. В© 2013 Elsevier Ltd.

Scopus
Держатели документа:
Institute of Biophysics of the Siberian Branch of RAS, 50-50 Akademgorodok, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Sid'ko, A.F.; Botvich, I.; Pisman, T.I.; Shevyrnogov, A.P.

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Remote diagnostics of vegetation covers by spectral brightness of plants / A. P. Shevyrnogov, A. F. Sidko // Advances in Space Research. - 1995. - Vol. 16, Is. 10. - P185-188 . - ISSN 0273-1177
Кл.слова (ненормированные):
plant -- spectral brightness -- vegetation
Аннотация: Optical remote methods are able to solve numerous scientific and practical problems associated with development of ecological monitoring systems, monitoring of plant cenoses' condition, forests and agricultural crops, in particular. Investigation of vegetation covers (VC) by optical remote methods is based on comprehensive examination and analysis of interaction mechanisms of incident and reflected solar light with plants, their dependence on geometric and pigment structure. В© 1995.

Scopus
Держатели документа:
Institute of Biophysics (Russian Academy of Sciences, Siberian Branch), Academgorodok, 660036 Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Shevyrnogov, A.P.; Sidko, A.F.

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A study of forest vegetation dynamics in the south of the Krasnoyarskii Krai in spring / M. Chernetskiy [et al.] // Advances in Space Research. - 2011. - Vol. 48, Is. 5. - P819-825, DOI 10.1016/j.asr.2011.04.032 . - ISSN 0273-1177
Кл.слова (ненормированные):
EVI -- Forestry -- MODIS -- NDVI -- Remote sensing -- Vegetation phenology -- Accurate measurement -- Annual time series -- Carbon exchange -- Data series -- Dynamic state -- Enhanced vegetation index -- EVI -- Forest vegetation -- Global scale -- Growth dynamics -- Interannual variability -- Moderate resolution imaging spectroradiometer -- MODIS -- NDVI -- Normalized difference vegetation index -- Principal components analysis -- Remote sensing applications -- Remote sensing data -- Satellite data -- Spatial structure -- Spring season -- Terrestrial ecosystems -- Vegetation dynamics -- Vegetation phenology -- Biology -- Climate models -- Dynamics -- Ecosystems -- Estimation -- Forestry -- Monitoring -- Principal component analysis -- Radiometers -- Remote sensing -- Satellite imagery -- Timber -- Time series -- User interfaces -- Vegetation -- Carbon -- Ecosystems -- Forests -- Image Analysis -- Plants -- Remote Sensing -- Time Series Analysis
Аннотация: Remote sensing applications have greatly enhanced ability to monitor and manage in the areas of forestry. Accurate measurements of regional and global scale vegetation dynamics (phenology) are required to improve models and understanding of inter-annual variability in terrestrial ecosystem carbon exchange and climate-biosphere interactions. Study of vegetation phenology is required for understanding of variability in ecosystem. In this paper, monitoring of vegetation dynamics using time series of satellite data is presented. Vegetation variability (vegetation rate) in different topoclimatic areas is investigated. Original software using IDL interactive language for processing of satellite long-term data series was developed. To investigate growth dynamics vegetation rate inferred from remote sensing was used. All estimations based on annual time series of Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Vegetation rate for Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) was calculated using MODIS data. The time series covers spring seasons of each of 9 years, from 2000 to 2008. Comparison of EVI and NDVI derived growth rates has shown that NDVI derived rates reveal spatial structure better. Using long-term data of vegetation rates variance was estimated that helps to reveal areas with anomalous growth rate. Such estimation shows sensitivity degree of different areas to different topoclimatic conditions. Woods of heights depend on spatial topoclimatic variability unlike woods of lowlands. Principal components analysis shows vegetation with different rate conditions. Also it reveals vegetation of same type in areas with different conditions. It was demonstrated that using of methods for estimating the dynamic state of vegetation based on remote sensing data enables successful monitoring of vegetation phenology. В© 2011 COSPAR. Published by Elsevier Ltd. All rights reserved.

Scopus
Держатели документа:
Institute of Biophysics of SB RAS, Akademgorodok 50/50, Krasnoyarsk 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Chernetskiy, M.; Pasko, I.; Shevyrnogov, A.; Slyusar, N.; Khodyayev, A.

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Modeling of CO2 fluxes between atmosphere and boreal forest / Y. V. Barkhatov [et al.] ; ed.: Z Yang, Z Yang // 18TH BIENNIAL ISEM CONFERENCE ON ECOLOGICAL MODELLING FOR GLOBAL CHANGE AND COUPLED HUMAN AND NATURAL SYSTEM. Ser. Procedia Environmental Sciences : ELSEVIER SCIENCE BV, 2012. - Vol. 13: 18th Biennial ISEM Conference on Ecological Modelling for Global Change and Coupled Human and Natural Systems (SEP 20-23, 2011, Beijing, PEOPLES R CHINA). - P621-625, DOI 10.1016/j.proenv.2012.01.053. - Cited References: 17 . - 5. - ISBN 1878-0296

РУБ Ecology + Environmental Sciences
Рубрики:
CARBON-DIOXIDE FLUXES
   SIBERIA
   BUDGET
   SINKS
   RATIO
   O-2
Кл.слова (ненормированные):
Global carbon cycle -- Siberian boreal forests -- mathematical modeling -- atmospheric boundary layer budget method
Аннотация: Difficulties in estimating terrestrial ecosystem CO2 fluxes on regional scales have significantly limited our understanding of the global carbon cycle. We present a method of using tall-tower-based CO2 concentrations for estimating CO2 fluxes over a forested region. With long-term measurements of the CO2 mixing ratio at a 300-m-tall tower, regional CO2 fluxes were estimated for several months, from the first obtained data. Estimates of a monthly-integrated surface CO2 flux over the region were obtained by the analysis of average gradients and estimates of the rate of vertical mixing between the atmospheric boundary layer (ABL) and the free troposphere. For the comparison of the ABL budget method and field measurements a zero-dimensional mathematical model of the ecosystem of Siberian boreal forests was used. The model is a system of ordinary differential equations with additional conditions superimposed on the parameters. The main occurring processes are described - photosynthesis, respiration, seasonal changes of active phytomass, water balance of trees, the influence of light, humidity, and temperature on photosynthesis and respiration. (C) 2011 Published by Elsevier B. V. Selection and/or peer-review under responsibility of School of Environment, Beijing Normal University.

Держатели документа:
[Barkhatov, Y. V.
Belolipetsky, P. V.
Degermendzhi, A. G.
Shchemel, A. L.] Inst Biophys SB RAS, Krasnoyarsk 660036, Russia : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Barkhatov, Y.V.; Belolipetsky, P.V.; Degermendzhi, A.G.; Belolipetskii, V.M.; Verkhovets, S.V.; Timokhina, A.V.; Panov, A.V.; Shchemel, A.L.; Vedrova, E.F.; Trephilova, O.V.; Yang, Z \ed.\

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REMOTE DIAGNOSTICS OF VEGETATION COVERS BY SPECTRAL BRIGHTNESS OF PLANTS [Text] / A. P. SHEVYRNOGOV, A. F. SIDKO ; ed. OV, AP SHEVYRN // SATELLITE MONITORING OF THE EARTH'S SURFACE AND ATMOSPHERE. Ser. ADVANCES IN SPACE RESEARCH : PERGAMON PRESS LTD, 1995. - Vol. 16: A1 Symposium of COSPAR Scientific Commission A on Satellite Monitoring of the Earths Surface and Atmosphere, at the 13th COSPAR Scientific Assembly (JUL 11-21, 1994, HAMBURG, GERMANY), Is. 10. - P185-188, DOI 10.1016/0273-1177(95)00401-Y. - Cited References: 5 . - 4. - ISBN 0273-1177. - ISBN 0-08-042635-2

РУБ Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences + Remote Sensing

Аннотация: Optical remote methods are able to solve numerous scientific and practical problems associated with development of ecological monitoring systems, monitoring of plant cenoses' condition, forests and agricultural crops, in particular. Investigation of vegetation covers (VC) by optical remote methods is based on comprehensive examination and analysis of interaction mechanisms of incident and reflected solar light with plants, their dependence on geometric and pigment structure.
: 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
SHEVYRNOGOV, A.P.; SIDKO, A.F.; SHEVYRN, OV, AP \ed.\

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Analysis of polarization characteristics of plant canopies using ground-based remote sensing measurements [Text] / A. F. Sid'ko [et al.] // J. Quant. Spectrosc. Radiat. Transf. - 2014. - Vol. 144. - P117-122, DOI 10.1016/j.jqsrt.2014.03.031. - Cited References: 26 . - ISSN 0022-4073. - ISSN 1879-1352

РУБ Spectroscopy
Рубрики:
LINEAR-POLARIZATION
   AGRICULTURAL CROPS
   WHEAT CANOPIES
   LIGHT
   REFLECTANCE
   VEGETATION
Кл.слова (ненормированные):
Spectral brightness coefficients -- Degree of polarization -- Polarized component of spectral brightness coefficients -- Farm crop -- Coniferous and broadleaf forests
Аннотация: The paper presents results and analysis of a study on polarized characteristics of the reflectance factor of different plant canopies under field conditions, using optical remote sensing techniques. Polarization characteristics were recorded from the elevated work platform at heights of 10-18 m in June and July. Measurements were performed using a double-beam spectrophotometer with a polarized light filter attachment, within the spectral range from 400 to 820 nm. The viewing zenith angle was below 20 degree. Birch (Betila pubescens), pine (Pinus sylvestris L.), wheat (Triticum acstivum) [L.] crops, corn (Zea mays L ssp. mays) crops, and various grass canopies were used in this study. The following polarization characteristics were studied: the reflectance factor of the canopy with the polarizer adjusted to transmit the maximum and minimum amounts of light (R-max and R-min), polarized component of the reflectance factor (R-q), and the degree of polarization (P). Wheat, corn, and grass canopies have higher R-max and R-min values than forest plants. The R-q and P values are higher for the birch than for the pine within the wavelength range between 430 and 740 nm. The study shows that polarization characteristics of plant canopies may be used as an effective means of decoding remote sensing data. (C) 2014 Elsevier Ltd. All rights reserved.

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Держатели документа:
[Sid'ko, A. F.
Botvich, I. Yu.
Pisman, T. I.
Shevyrnogov, A. P.] Siberian Fed Univ, RAS, Siberian Branch, Inst Biophys, Krasnoyarsk, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Sid'ko, A.F.; Botvich, I.Y.; Pisman, T.I.; Shevyrnogov, A.P.

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New aborigine strains of Trichoderma species, distributed in Middle Siberia [Текст] / T. I. Gromovikh [и др.] // Mikol. Fitopatol. - 2001. - Vol. 35, Is. 1. - P. 56-61. - Cited References: 19 . - ISSN 0026-3648

РУБ Mycology
Рубрики:
GENUS TRICHODERMA
SECTION LONGIBRACHIATUM
REVISION
Аннотация: More than 200 Trichoderma isolates were obtained from soil in various forests in Middle Siberia. Four species Trichoderma anamorph Hypocrea gelatinosa, T. viride, T. virens, and T. longibrachiatum were identified at the first stage following descriptions of Bissett. Four isolates were selected for disease suppressiveness test. Isolates were tested for antibiotic activity against Fusarium fungi, as major pathogens of spruce and pine seedlings. All tested Trichoderma isolates showed high or moderate activity against Fusarium species. This supported the conclusion that selected strains have a potential to be used for biocontrol of coniferous seedlings pathogens.

WOS
Держатели документа:
Krasnoyarsk State Univ, Krasnoyarsk, Russia
Russian Acad Sci, Inst Biophys, Krasnoyarsk, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Gromovikh, T.I.; Prudnikova, S.V.; Gromovikh, V.S.; Mogilnaya, O.A.

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10.

The influence of altitudinal zonality on spectral characteristics (MODIS/Terra) mountain forests of Western Sayan / N. Kukoba, Y. Ivanova, I. Botvich // Climate Change Impacts on High-Altitude Ecosystems . - 2015. - P637-643, DOI 10.1007/978-3-319-12859-7_26 . - ISBN 9783319128597 (ISBN); 9783319128580 (ISBN)
Кл.слова (ненормированные):
Mountain forests of Siberia -- Net primary production (NPP) -- Vegetation indices
Аннотация: The purpose of this study is to find a relationship between changes in spectral characteristics (MODIS/Terra) of mountain forests and the altitude at which they grow. In the study area, which is located in the West Sayan Mountains (in South Siberia), the types of forest ecosystems change markedly with altitude. The study uses the data of the MODIS-NPP model intended for the evaluation of global net production. Results of the study show that the best approach to dividing mountain forests into different types is to use 8-day composites of satellite data collected at the beginning of the growing season (April-May). This is the time when the most significant differences are recorded between vegetation indices, including Normalized Difference Vegetation Index (NDVI), LAI, and EVI of the mountain forests growing in different altitudinal zones. © Springer International Publishing Switzerland 2015.

Scopus
Держатели документа:
Siberian Federal University, Krasnoyarsk, Russian Federation
Institute of Biophysics SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Kukoba, N.; Ivanova, Y.; Botvich, I.

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11.

Modeling the boundaries of plant ecotones of mountain ecosystems / Y. Ivanova, V. Soukhovolsky // Forests. - 2016. - Vol. 7, Is. 11, DOI 10.3390/f7110271 . - ISSN 1999-4907
Кл.слова (ненормированные):
Biodiversity -- Boundaries of ecotones -- Ecotone -- Mountain forest ecosystems -- Biodiversity -- Climate change -- Climate models -- Ecology -- Forestry -- Landforms -- Vegetation -- Boundary shifts -- Ecotone -- Forest inventory data -- Mountain ecosystems -- Mountain forests -- Second-order phase transition -- Species composition -- Vegetation belt -- Ecosystems
Аннотация: The ecological second-order phase transition model has been used to describe height-dependent changes in the species composition of mountain forest ecosystems. Forest inventory data on the distribution of various tree species in the Sayan Mountains (south Middle Siberia) are in good agreement with the model proposed in this study. The model was used to estimate critical heights for different altitudinal belts of vegetation, determine the boundaries and extents of ecotones between different vegetation belts, and reveal differences in the ecotone boundaries between the north- and south-facing transects. An additional model is proposed to describe ecotone boundary shifts caused by climate change. © 2016 by the authors.

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Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50-50, Krasnoyarsk, Russian Federation
V.N. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50-28, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Ivanova, Y.; Soukhovolsky, V.

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12.

Simulation of phenodynamics of deciduous tree species / V. G. Sukhovol’skii [и др.] // Russ. J. For. Sci. - 2017. - Is. 4. - С. 293-302, DOI 10.7868/S0024114817040052 . - ISSN 0024-1148
Кл.слова (ненормированные):
Boreal forests -- Climate -- Phenological models -- Satellite data
Аннотация: Here we show the new approach to analysis of seasonal phenological dynamics of wooded plants. Our model was premised on representation of phenological processes of trees in boreal domain by a process of energy production during the vegetation season and partial release of accumulated energy for survival during resting. We introduced the energy balance equation combining weather and phenological indicators and linking them throughout a year. The model was parameterized using data of phenological studies of birch, aspen, and Siberian larch in Stolby Nature Sanctuary (55°38? - 55°58? N, 92°38? - 93°05? E) during 1951-2012 which allow high accuracy simulation of phenological stages. Coefficients of the equation may be considered as indicators of sensitivity of wooded plants to climate. We show that remotely sensed data on phenological dates may be used in calculations using the model of energy balance. Daily MODIS/Terra images of NDVI (Normalized Difference Vegetation Index) of the studied deciduous forests were used. © 2017, Izdatel'stvo Nauka. All rights reserved.

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Держатели документа:
Forest Institute, Siberian Branch of the Russian Academy of Sciences, Academgorodok 50 bldg. 28, Krasnoyarsk, Russian Federation
Institute of Biophysics, Siberian Branch of the Russian Academy of Sciences, Aсademgorodok 50 bldg. 50, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Sukhovol’skii, V. G.; Ivanova, Y. D.; Ovchinnikova, T. M.; Botvich, I. Y.

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13.

Microbial transformation of carbon CH4 and CO2 in permafrost-affected soils in tundra and forest ecosystems in Siberia / I. D. Grodnitskaya [и др.] // Russ. J. For. Sci. - 2017. - Is. 2. - С. 111-127 . - ISSN 0024-1148
Кл.слова (ненормированные):
Bacterial diversity -- CH4 and CO2 emission -- Dynamics and activity of microbial complexes -- Frost-crack polygons -- Larch forests -- Tundra -- Сryogenic soils
Аннотация: We studied structure, dynamics and functional (biogeochemical) activity of microbial complexes of cryogenic soils in larch forests in Central Evenkia and polygonal tundra on Samoilovskii Island, Lena Delta. We found that daily flux of methane from soil surface is 3–5 times less in forest soil than in the center of polygon in tundra. Short-term heating to 18.5–22.5 °C of permafrost-affected soil in larch forest caused sweetening of soil solution, shrinkage of eco-trophic groups of microorganisms and microbial biomass, as well as increase in greenhouse gases (CO2 and CH4) emission to the air. Notably the permafrost-affected soil on sandy deposits in tundra had highest microbial diversity of methanogenic archaea including Methanobacteriaceae, Methanomicrobiaceae, Methanosarcinaceae, Methanosaetaceae families. On the other hand only Methanosarcinacea were found in cryosols of larch forest. Both type I and type II methanotrophs were found in the forest soil, while only type II methanotrophs occurred in tundra soil. © 2017, Izdatel’stvo Nauka. All rights reserved.

Scopus
Держатели документа:
Forest Institute, Siberian Branch of the Russian Academy of Sciences, Academgorodok, 50, bldg. 28, Krasnoyarsk, Russian Federation
Krasnoyarsk filial of the Information and Methodological Center for Expert Evaluation, Recording and Analysis of Circulation of Medical Products, Roszdravnadzor, Kutuzova st., 1, bldg. 1, Krasnoyarsk, Russian Federation
Institute of Biophysics, Siberian Branch of the Russian Academy of Sciences, Academgorodok, 50, bldg. 50, Krasnoyarsk, Russian Federation
Roche Diagnostika Rus Ltd., Letnikovskaya, 2, bldg. 2, Moscow, Russian Federation

Доп.точки доступа:
Grodnitskaya, I. D.; Sorokin, N. D.; Evgrafova, S. Y.; Antonov, G. I.; Syrtsov, S. N.; Aleksandrov, D. E.; Trusova, M. Y.; Koroban, N. V.

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14.

Modeling production processes in forest stands: An adaptation of the Solow growth model / V. Soukhovolsky, Y. Ivanova // Forests. - 2018. - Vol. 9, Is. 7, DOI 10.3390/f9070391 . - ISSN 1999-4907
Кл.слова (ненормированные):
Components of phytomass -- Forest stands -- Modeling of growth processes -- Net primary production (NPP) -- Economics -- Needles -- Energy productions -- Forest stand -- Growth process -- Independent model -- Model of economics -- Net primary production -- Phytomass -- Production process -- Forestry -- Hexapoda
Аннотация: The model of forest stand growth proposed in this study is based on R. Solow's model of economic growth. The variables introduced into the model are the "capital" (the phytomass of the non-synthesizing tree components in the stand-the stem, roots, and branches) and the "labor" (the phytomass of the photosynthesizing tree components in the stand-leaves or needles). Root phytomass is calculated with a special independent model. The process of energy production by the trees is described with the Cobb-Douglas equation. The proposed approach is used to describe growth processes in the forest stands comprising various species in Siberia and the age dynamics of net primary production. The model can explain a number of effects (such as death of the forest stand after the needles have been consumed by defoliating insects) that cannot be explained by standard logistic models. © 2018 by the authors.

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Держатели документа:
Sukachev Institute of Forest SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Akademgorodok 50-28, Krasnoyarsk, Russian Federation
Institute of Biophysics SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Akademgorodok 50-50, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Soukhovolsky, V.; Ivanova, Y.

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15.

The Influence of Temperature and Humidity on Greenhouse Gas Emission in Experiments on Imitation of the Full Vegetation Cycle of Tundra Ecosystems / Y. V. Barkhatov [et al.] // Dokl. Earth Sci. - 2018. - Vol. 483, Is. 2. - P1539-1541, DOI 10.1134/S1028334X18120115. - Cited References:15. - This study was supported by the Russian Foundation for Basic Research, the Krasnoyarsk Krai Government and the Krasnoyarsk Regional Fund of Science (project no. 17-45-240884), the Russian Foundation for Basic Research (project no. 16-04-01677-a), and the Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, governmental assignment, theme no. 56.1.4. for 2013-2020. . - ISSN 1028-334X. - ISSN 1531-8354

РУБ Geosciences, Multidisciplinary
Рубрики:
POLYGONAL TUNDRA
   METHANE EMISSION
   CARBON
   DELTA
   LAKES
Аннотация: Laboratory experiments were conducted in a hermetically sealed growth chamber with two soil samples obtained from the arctic tundra zone with different levels of moisture. Samples were maintained at a growing season typical of the region from which they were taken, and for the sample with a high level of moisture it was made twice: with the temperature in accord with natural conditions and one increased by 2 degrees C. It has been shown that heating of the overmoistened tundra soil by 2 degrees C can increased the average carbon dioxide emissions by almost two times (from 75 to 100-150 mg m(-2) h(-1)). Upon the application of heat, no significant increase in methane emission was observed.

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Держатели документа:
Russian Acad Sci, Inst Biophys, Siberian Branch, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Sukachev Inst Forests, Siberian Branch, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Barkhatov, Yu. V.; Ushakova, S. A.; Shikhov, V. N.; Evgrafova, S. Yu.; Tikhomirov, A. A.; Degermendzhi, A. G.; Russian Foundation for Basic Research; Krasnoyarsk Krai Government; Krasnoyarsk Regional Fund of Science [17-45-240884]; Russian Foundation for Basic Research [16-04-01677-a]; Institute of Biophysics, Siberian Branch, Russian Academy of Sciences [56.1.4.]

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16.

The use of satellite information (MODIS/Aqua) for phenological and classification analysis of plant communities / Y. Ivanova [et al.] // Forests. - 2019. - Vol. 10, Is. 7, DOI 10.3390/f10070561 . - ISSN 1999-4907
Кл.слова (ненормированные):
Boreal forests and ecosystems -- Classification of plant communities -- Linear discriminant analysis -- NDVI (normalized difference vegetation index) -- Discriminant analysis -- Radiometers -- Remote sensing -- Time series -- Vegetation -- Average air temperature -- Boreal forests -- Canonical correlations -- Classification analysis -- Linear discriminant analysis -- Normalized difference vegetation index -- Plant communities -- Satellite information -- Forestry
Аннотация: Vegetation indices derived from remote sensing measurements are commonly used to describe and monitor vegetation. However, the same plant community can have a different NDVI (normalized difference vegetation index) depending on weather conditions, and this complicates classification of plant communities. The present study develops methods of classifying the types of plant communities based on long-term NDVI data (MODIS/Aqua). The number of variables is reduced by introducing two integrated parameters of the NDVI seasonal series, facilitating classification of the meadow, steppe, and forest plant communities in Siberia using linear discriminant analysis. The quality of classification conducted by using the markers characterizing NDVI dynamics during 2003-2017 varies between 94% (forest and steppe) and 68% (meadow and forest). In addition to determining phenological markers, canonical correlations have been calculated between the time series of the proposed markers and the time series of monthly average air temperatures. Based on this, each pixel with a definite plant composition can be characterized by only four values of canonical correlation coefficients over the entire period analyzed. By using canonical correlations between NDVI and weather parameters and employing linear discriminant analysis, one can obtain a highly accurate classification of the study plant communities. © 2019 by the authors.

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Держатели документа:
Institute of Biophysics SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50-50, Krasnoyarsk, 660036, Russian Federation
Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50, Krasnoyarsk, 660036, Russian Federation
Institute of Computational Modeling SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50-44, Krasnoyarsk, 660036, Russian Federation
Sukachev Institute of Forest SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50-28, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Ivanova, Y.; Kovalev, A.; Yakubailik, O.; Soukhovolsky, V.

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17.

Identification of vegetation types and its boundaries using artificial neural networks / M. Saltykov, O. Yakubailik, S. Bartsev // IOP Conference Series: Materials Science and Engineering : Institute of Physics Publishing, 2019. - Vol. 537: International Workshop on Advanced Technologies in Material Science, Mechanical and Automation Engineering - MIP: Engineering-2019 (4 April 2019 through 6 April 2019, ) Conference code: 149243, Is. 6, DOI 10.1088/1757-899X/537/6/062001
Кл.слова (ненормированные):
Forestry -- Pixels -- Satellite imagery -- Vegetation -- Boreal forests -- Mixed forests -- Multi-spectral imagery -- Satellite images -- Spectral channels -- Trained neural networks -- Vegetation index -- Vegetation type -- Multilayer neural networks
Аннотация: The applicability of artificial neural networks (ANN) for the identification of vegetation types using satellite multispectral imagery was studied. The study was focused on the three main vegetation types found in the south of the Krasnoyarsk Region: mixed forest, boreal forest and grassland. Sentinel-2 satellite images were used as a data source for the neural networks. It was shown that vegetation type can be identified pixel-by-pixel using 12 spectral channels and simple feed forward ANN with good quality and reliability. Analysis of the input layer of the trained neural networks allowed several spectral bands to be selected that were the most valuable for the ANN decision and not used in the classic NDVI vegetation index. © 2019 IOP Publishing Ltd. All rights reserved.

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Держатели документа:
Institute of Biophysics, FRC KSC SB RAS, Akademgorodok 50/50, Krasnoyarsk, 660036, Russian Federation
Institute of Computation Modeling, FRC KSC SB RAS, Akademgorodok 50/44, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Saltykov, M.; Yakubailik, O.; Bartsev, S.

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18.

Modeling the radial stem growth of the pine (Pinus sylvestris l.) forests using the satellite-derived ndvi and lst (modis/aqua) data / Y. Ivanova, A. Kovalev, V. Soukhovolsky // Atmosphere. - 2021. - Vol. 12, Is. 1. - Ст. 12. - P1-15, DOI 10.3390/atmos12010012 . - ISSN 2073-4433
Кл.слова (ненормированные):
Boreal forests -- Field measurements -- Modeling studies of forest -- Remote sensing data analysis -- Tree and forest functioning -- Tree ring width -- Land surface temperature -- Radiometers -- Satellites -- Time series analysis -- Developed model -- Growing season -- Measurements of -- Normalized difference vegetation index -- Parabolic approximation -- Pinus sylvestris -- Principal Components -- Tree-ring width -- Forestry -- Aqua (satellite) -- boreal forest -- coniferous tree -- growth rate -- land surface -- modeling -- MODIS -- NDVI -- phytomass -- principal component analysis -- remote sensing -- satellite data -- surface temperature -- tree ring -- Pinus sylvestris
Аннотация: The paper considers a new approach to modeling the relationship between the increase in woody phytomass in the pine forest and satellite-derived Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) (MODIS/AQUA) data. The developed model combines the phenological and forest growth processes. For the analysis, NDVI and LST (MODIS) satellite data were used together with the measurements of tree-ring widths (TRW). NDVI data contain features of each growing season. The models include parameters of parabolic approximation of NDVI and LST time series transformed using principal component analysis. The study shows that the current rate of TRW is determined by the total values of principal components of the satellite indices over the season and the rate of tree increment in the preceding year. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

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Держатели документа:
Institute of Biophysics SB RAS, Federal Research Center “Krasnoyarsk Science Center SB RAS”, Krasnoyarsk, 660036, Russian Federation
Federal Research Center “Krasnoyarsk Science Center SB RAS”, Krasnoyarsk, 660036, Russian Federation
Sukachev Institute of Forest SB RAS, Federal Research Center “Krasnoyarsk Science Center SB RAS”, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Ivanova, Y.; Kovalev, A.; Soukhovolsky, V.

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19.

Modeling the Radial Stem Growth of the Pine (Pinus sylvestris L.) Forests Using the Satellite-Derived NDVI and LST (MODIS/AQUA) Data / Y. Ivanova, A. Kovalev, V. Soukhovolsky // Atmosphere. - 2021. - Vol. 12, Is. 1. - Ст. 12, DOI 10.3390/atmos12010012. - Cited References:51. - This research was funded by RFBR according to the research project number 18-04-00119-a. . - ISSN 2073-4433

РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Кл.слова (ненормированные):
boreal forests -- tree and forest functioning -- tree ring width -- field -- measurements -- remote sensing data analysis -- modeling studies of forest
Аннотация: The paper considers a new approach to modeling the relationship between the increase in woody phytomass in the pine forest and satellite-derived Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) (MODIS/AQUA) data. The developed model combines the phenological and forest growth processes. For the analysis, NDVI and LST (MODIS) satellite data were used together with the measurements of tree-ring widths (TRW). NDVI data contain features of each growing season. The models include parameters of parabolic approximation of NDVI and LST time series transformed using principal component analysis. The study shows that the current rate of TRW is determined by the total values of principal components of the satellite indices over the season and the rate of tree increment in the preceding year.

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Держатели документа:
RAS, Krasnoyarsk Sci Ctr SB, Fed Res Ctr, Inst Biophys, Krasnoyarsk 660036, Russia.
RAS, Krasnoyarsk Sci Ctr SB, Fed Res Ctr, Krasnoyarsk 660036, Russia.
RAS, Krasnoyarsk Sci Ctr SB, Fed Res Ctr, Sukachev Inst Forest, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Ivanova, Yulia; Kovalev, Anton; Soukhovolsky, Vlad; RFBRRussian Foundation for Basic Research (RFBR) [18-04-00119-a]

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