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1.


   
    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.

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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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2.


   
    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.

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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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3.


   
    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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4.


   
    Export of aquatic productivity, including highly unsaturated fatty acids, to terrestrial ecosystems via Odonata / O. N. Popova [et al.] // Sci. Total Environ. - 2017. - Vol. 581-582. - P40-48, DOI 10.1016/j.scitotenv.2017.01.017 . - ISSN 0048-9697
Кл.слова (ненормированные):
Amphibiotic insect emergence -- Aquatic subsidy -- Docosahexaenoic acid, forest-steppe -- Eicosapentaenoic acid -- Aquatic ecosystems -- Carbon -- Ecology -- Ecosystems -- Forestry -- Organic carbon -- Productivity -- Unsaturated fatty acids -- Amphibiotic insect emergence -- Aquatic subsidy -- Docosahexaenoic acid -- Eicosapentaenoic acid -- Highly unsaturated fatty acids -- Terrestrial ecosystems -- Terrestrial landscape -- Western Siberia , Russia -- Fatty acids -- Animalia -- Aves -- Hexapoda -- Odonata
Аннотация: Based on 31-year field study of the abundance and biomass of 18 species of odonates in the Barabinsk Forest–Steppe (Western Siberia, Russia), we quantified the contribution of odonates to the export of aquatic productivity to surrounding terrestrial landscape. Emergence varied from 0.8 to 4.9 g of wet biomass per m2 of land area per year. Average export of organic carbon was estimated to be 0.30 g·m? 2·year? 1, which is comparable with the average production of herbivorous terrestrial insects in temperate grasslands. Moreover, in contrast to terrestrial insects, emerging odonates contained high quantities of highly unsaturated fatty acids (HUFA), namely eicosapentaenoic acid (20:5n-3, EPA), and docosahexaenoic acid (22:6n-3, DHA), which are known to be essential for many terrestrial animals, especially for birds. The export of EPA + DHA by odonates was found to be 1.92–11.76 mg·m? 2·year? 1, which is equal to an average general estimation of the export of HUFA by emerging aquatic insects. Therefore, odonates appeared to be a quantitatively and qualitatively important conduit of aquatic productivity to forest-steppe ecosystem. © 2017 Elsevier B.V.

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Держатели документа:
Institute of Systematics and Ecology of Animals of Siberian Branch of Russian Academy of Sciences, Frunze str. 11, Novosibirsk, Russian Federation
Institute of Biophysics of Federal Research Center “Krasnoyarsk Science Center” of Siberian Branch of Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, Russian Federation
Siberian Federal University, Svobodny av. 79, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Popova, O. N.; Haritonov, A. Y.; Sushchik, N. N.; Makhutova, O. N.; Kalachova, G. S.; Kolmakova, A. A.; Gladyshev, M. I.

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5.


   
    Luminescence of cold extracts from mycelium of luminous basidiomycetes during long-term storage / A. P. Puzyr [et al.] // Curr. Res. Environ. Appl. Mycol. J. Fungal. - 2017. - Vol. 7, Is. 3. - P227-235, DOI 10.5943/cream/7/3/9 . - ISSN 2229-2225
Кл.слова (ненормированные):
Armillaria borealis -- Kinetics of luminescence -- Lyophilic preparations -- Mycena citricolor -- Neonothopanus nambi
Аннотация: Cold extracts with high activities of enzymes of luminescent reaction were prepared from mycelia of luminous fungi Armillaria borealis IBSO 2328, Mycena citricolor IBSO 2331, and Neonothopanus nambi IBSO 2391. The authors describe techniques of preparing cold extracts with high levels of luminescence from mycelial biomass of different species of luminous basidiomycetes. The investigation of cold extracts showed that in experiments with freezing and thawing of the samples as well as in experiments with lyophilization followed by dissolution of the dry samples, the levels of enzyme activity were high, with in vitro luminescence exhibited after addition of NADPH and the hot extract containing the substrate. High activity levels of the enzymes of luminescent reaction were measured in lyophilized cold extracts stored over three years. In lyophilized preparations, the enzymes of luminescent reaction had high thermostability, even when dry preparations of cold extracts were exposed to a temperature of 100°C for 60 minutes. © Beijing Academy of Agriculture and Forestry Sciences.

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Держатели документа:
Institute of Biophysics, Siberian Branch of Russian Academy of Science, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Akademgorodok, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Puzyr, A. P.; Medvedeva, S. E.; Artemenko, K. S.; Bondar, V. S.

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6.


   
    Estimating levels of light emission and extracellular peroxidase activity of mycelium of luminous fungus Neonothopanus nambi treated with ?-glucosidase / O. A. Mogilnaya, N. O. Ronzhin, V. S. Bondar // Curr. Res. Environ. Appl. Mycol. J. Fungal. - 2018. - Vol. 8, Is. 1. - P75-85, DOI 10.5943/cream/8/1/6 . - ISSN 2229-2225
Кл.слова (ненормированные):
Basidiomycetes -- Cell wall -- Luminescence -- Polysaccharide sheath
Аннотация: The present study estimates the level of extracellular peroxidase activity and light emission intensity of mycelium of luminescent basidiomycete Neonothopanus nambi treated with ?-glucosidase. A hypothesis has been proposed that treatment with ?-glucosidase may trigger biochemical mechanisms of activation of ROS (primarily hydrogen peroxide) generation in N. nambi mycelium. The results obtained indicate that the enzyme causes partial disintegration of the slimy sheath of fungal hyphae and intracellular matrix, which leads to release of the extracellular peroxidases to the incubation medium. Mycelial cells treated with the enzyme reach the peak of their luminescence sooner. It has been assumed that partial loss of extracellular peroxidases, as important enzymes of antioxidant defense, may be compensated for by an increase in the level of light emission by the fungus. © 2018 Beijing Academy of Agriculture and Forestry Sciences.

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Держатели документа:
Institute of Biophysics, Siberian Branch of Russian Academy of Science, Federal Research Center Krasnoyarsk Science Center SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Mogilnaya, O. A.; Ronzhin, N. O.; Bondar, V. S.

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7.


   
    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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8.


   
    Comprehensive Insights Into Composition, Metabolic Potentials, and Interactions Among Archaeal, Bacterial, and Viral Assemblages in Meromictic Lake Shunet in Siberia / Y. T. Wu [et al.] // Front. Microbiol. - 2018. - Vol. 9. - Ст. 1763, DOI 10.3389/fmicb.2018.01763. - Cited References:103. - This research was supported by the Ministry of Science and Technology in Taiwan through the Taiwan-Russia Joint Project Grant NSC 99-2923-B-001-001-MY3 and NSC 102-2923-B-001-004 and the Russian Foundation for Basic Research, Grant No. 16-05-00091-a. The research was partially supported by the Council on grants from the President of the Russian Federation for support of leading scientific schools (grant NSh-9249.2016.5). . - ISSN 1664-302X
РУБ Microbiology
Рубрики:
BACTERIOPLANKTON COMMUNITY COMPOSITION
   RIBOSOMAL-RNA GENES

   ANTARCTIC

Кл.слова (ненормированные):
Lake Shunet -- metagenomics -- archaeal -- bacterial and viral assemblages -- meromictic lake
Аннотация: Microorganisms are critical to maintaining stratified biogeochemical characteristics in meromictic lakes; however, their community composition and potential roles in nutrient cycling are not thoroughly described. Both metagenomics and metaviromics were used to determine the composition and capacity of archaea, bacteria, and viruses along the water column in the landlocked meromictic Lake Shunet in Siberia. Deep sequencing of 265 Gb and high-quality assembly revealed a near-complete genome corresponding to Nonlabens sp. sh3vir. in a viral sample and 38 bacterial bins (0.2-5.3 Mb each). The mixolimnion (3.0 m) had the most diverse archaeal, bacterial, and viral communities, followed by the monimolimnion (5.5 m) and chemocline (5.0 m). The bacterial and archaeal communities were dominated by Thiocapsa and Methanococcoides, respectively, whereas the viral community was dominated by Siphoviridae. The archaeal and bacterial assemblages and the associated energy metabolism were significantly related to the various depths, in accordance with the stratification of physicochemical parameters. Reconstructed elemental nutrient cycles of the three layers were interconnected, including co-occurrence of denitrification and nitrogen fixation in each layer and involved unique processes due to specific biogeochemical properties at the respective depths. According to the gene annotation, several pre-dominant yet unknown and uncultured bacteria also play potentially important roles in nutrient cycling. Reciprocal BLAST analysis revealed that the viruses were specific to the host archaea and bacteria in the mixolimnion. This study provides insights into the bacterial, archaeal, and viral assemblages and the corresponding capacity potentials in Lake Shunet, one of the three meromictic lakes in central Asia. Lake Shunet was determined to harbor specific and diverse viral, bacterial, and archaeal communities that intimately interacted, revealing patterns shaped by indigenous physicochemical parameters.

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Держатели документа:
Natl Pingtung Univ Sci & Technol, Dept Forestry, Neipu, Taiwan.
Acad Sinica, Biodivers Res Ctr, Taipei, Taiwan.
Germark Biotechnol Co Ltd, Taichung, Taiwan.
Univ Melbourne, Melbourne Sch Engn, Optimisat & Pattern Recognit Grp, Melbourne, Vic, Australia.
Acad Sinica, Taiwan Int Grad Program, Mol & Biol Agr Sci, Taipei, Taiwan.
Natl Chung Hsing Univ, Grad Inst Biotechnol, Dept Life Sci, Taichung, Taiwan.
Russian Acad Sci, Inst Biophys, Siberian Div, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.

Доп.точки доступа:
Wu, Yu-Ting; Yang, Cheng-Yu; Chiang, Pei-Wen; Tseng, Ching-Hung; Chiu, Hsiu-Hui; Saeed, Isaam; Baatar, Bayanmunkh; Rogozin, Denis; Halgamuge, Saman; Degermendzhi, Andrei; Tang, Sen-Lin; Ministry of Science and Technology in Taiwan [NSC 99-2923-B-001-001-MY3, NSC 102-2923-B-001-004]; Russian Foundation for Basic Research [16-05-00091-a]; Russian Federation [NSh-9249.2016.5]

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9.


   
    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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10.


   
    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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11.


   
    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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12.


   
    Use of spectral surface characteristics for mapping soil cover structure under Krasnoyarsk forest-steppe conditions / V. Latysheva, T. Demyanenko, I. Botvich [et al.] // E3S Web of Conferences : EDP Sciences, 2020. - Vol. 223: 2020 Regional Problems of Earth Remote Sensing, RPERS 2020 (29 September 2020 through 2 October 2020, ) Conference code: 166122. - Ст. 03003, DOI 10.1051/e3sconf/202022303003
Кл.слова (ненормированные):
Humus -- Multiple regression -- Particle-size distribution -- Soil cover structure -- Spectral brightness coefficient -- Carbon dioxide -- Forestry -- Particle size -- Photomapping -- Remote sensing -- Soil testing -- Field spectrometry -- Informative parameters -- Particle-size fractions -- Regression equation -- Soil cover -- Soil property -- Surface characteristics -- Test parameters -- Soils
Аннотация: The relations between the spectral surface characteristics of the elements of the soil cover structure and soil properties in the Krasnoyarsk forest-steppe of Central Siberia were investigated. It was revealed that the most informative parameters for field spectrometry are the content of humus, carbonate carbon dioxide and the prevailing particle-size fractions. A statistically significant relationship between the elements of the soil cover structure and the reflectivity of soils has been confirmed by means of multidimensional statistics. The wave lengths with the greatest coupling force are highlighted. Regression equations for remote study of soil cover structure have been obtained, which can be used if additional point studies are carried out in a wider range of test parameters. © The Authors, published by EDP Sciences, 2020.

Scopus
Держатели документа:
Fed. State Budget Educational Institution of Higher Education Krasnoyarsk State Agrarian University, 90 Mira Avenue, Krasnoyarsk City, 660049, Russian Federation
Institute of Biophysics SB RAS, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Latysheva, V.; Demyanenko, T.; Botvich, I.; Emelyanov, D.; Khizhnyak, S.

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13.


   
    Single-cell genomics-based analysis reveals a vital ecological role of thiocapsa sp. LSW in the meromictic Lake Shunet, Siberia / Y.-T. Wu, P.-W. Chiang, K. Tandon [et al.] // Microb. Genomics. - 2021. - Vol. 7, Is. 12. - Ст. 000712, DOI 10.1099/mgen.0.000712 . - ISSN 2057-5858
Кл.слова (ненормированные):
Flow cytometry -- Lake Shunet -- Purple sulfur bacteria -- Single-cell genomics -- genomic DNA -- RNA 16S -- Article -- bioinformatics -- carbon metabolism -- Enterobacter -- fluorescence activated cell sorting -- gene amplification -- gene ontology -- high throughput sequencing -- metagenomics -- microbial community -- microbial diversity -- molecular genetics -- nitrogen metabolism -- nonhuman -- nucleotide sequence -- phylogenetic tree -- phylogeny -- polymerase chain reaction -- Sanger sequencing -- Thiocapsa
Аннотация: Meromictic lakes usually harbour certain prevailing anoxygenic phototrophic bacteria in their anoxic zone, such as the purple sulfur bacterium (PSB) Thiocapsa sp. LSW (hereafter LSW) in Lake Shunet, Siberia. PSBs have been suggested to play a vital role in carbon, nitrogen and sulfur cycling at the oxic–anoxic interface of stratified lakes; however, the ecological significance of PSBs in the lake remains poorly understood. In this study, we explored the potential ecological role of LSW using a deep-sequencing analysis of single-cell genomics associated with flow cytometry. An approximately 2.7 Mb draft genome was obtained based on the co-assembly of five single-cell genomes. LSW might grow photolithoautotrophically and could play putative roles not only as a carbon fixer and diazotroph, but also as a sulfate reducer/oxidizer in the lake. This study provides insights into the potential ecological role of Thiocapsa sp. in meromictic lakes. © 2021 The Authors.

Scopus
Держатели документа:
Department of Forestry, National Pingtung University of Science and Technology, Pingtung, 91201, Taiwan
Biodiversity Research Center, Academia Sinica, Taipei, 115, Taiwan
Institute of Biophysics, Siberian Division of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Wu, Y. -T.; Chiang, P. -W.; Tandon, K.; Rogozin, D. Y.; Degermendzhy, A. G.; Tang, S. -L.

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14.


   
    Single- cell genomics-based analysis reveals a vital ecological role of Thiocapsa sp. LSW in the meromictic Lake Shunet, Siberia / Y. T. Wu, P. W. Chiang, K. Tandon [et al.] // Microb. Genomics. - 2021. - Vol. 7, Is. 12. - Ст. 000712, DOI 10.1099/mgen.0.000712. - Cited References:69. - This research was funded by the Ministry of Science and Technology in Taiwan through the Taiwan-Russia Joint Project Grant NSC102--2923-B--001--004--MY3 and by the Russian Foundation for Basic Research Grant (project no. 21--54--52001) and MOST (105--2923--B--001--001--MY3). . - ISSN 2057-5858
РУБ Genetics & Heredity + Microbiology
Рубрики:
PHOTOTROPHIC BACTERIAL COMMUNITY
   PURPLE SULFUR BACTERIUM

   SP NOV.

Кл.слова (ненормированные):
flow cytometry -- Lake Shunet -- purple sulfur bacteria -- single-cell -- genomics
Аннотация: Meromictic lakes usually harbour certain prevailing anoxygenic phototrophic bacteria in their anoxic zone, such as the purple sulfur bacterium (PSB) Thiocapsa sp. LSW (hereafter LSW) in Lake Shunet, Siberia. PSBs have been suggested to play a vital role in carbon, nitrogen and sulfur cycling at the oxic-anoxic interface of stratified lakes; however, the ecological significance of PSBs in the lake remains poorly understood. In this study, we explored the potential ecological role of LSW using a deepsequencing analysis of single- cell genomics associated with flow cytometry. An approximately 2.7 Mb draft genome was obtained based on the co- assembly of five single- cell genomes. LSW might grow photolithoautotrophically and could play putative roles not only as a carbon fixer and diazotroph, but also as a sulfate reducer/oxidizer in the lake. This study provides insights into the potential ecological role of Thiocapsa sp. in meromictic lakes.

WOS
Держатели документа:
Natl Pingtung Univ Sci & Technol, Dept Forestry, Pingtung 91201, Taiwan.
Acad Sinica, Biodivers Res Ctr, Taipei 115, Taiwan.
Russian Acad Sci, Inst Biophys, Siberian Div, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.

Доп.точки доступа:
Wu, Yu-Ting; Chiang, Pei-Wen; Tandon, Kshitij; Rogozin, Denis Yu; Degermendzhy, Andrey G.; Tang, Sen-Lin; Ministry of Science and Technology in Taiwan through the Taiwan-Russia Joint Project [NSC102-2923-B-001-004-MY3]; Russian Foundation for Basic Research GrantRussian Foundation for Basic Research (RFBR) [21-54-52001]; MOST [105-2923-B-001-001-MY3]

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