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A heuristic neural network model in the research of properties of evolutionary trajectories / S. Bartsev, P. Baturina // INTERNATIONAL WORKSHOP ADVANCED TECHNOLOGIES IN MATERIAL SCIENCE, : IOP PUBLISHING LTD, 2019. - Vol. 537: International Workshop on Advanced Technologies in Material Science, (APR 04-06, 2019, Krasnoyarsk, RUSSIA). - Ст. 042001. - (IOP Conference Series-Materials Science and Engineering), DOI 10.1088/1757-899X/537/4/042001. - Cited References:21 . -

РУБ Engineering, Mechanical + Materials Science, Multidisciplinary
Рубрики:
SEQUENCE SPACE
Аннотация: There is considerable data on molecular evolution, but there remains no approach to systematizing them within the framework of the key problems of biology. To search for the most common properties of evolving systems, the heuristic method has been proposed. Artificial networks of formal neurons were chosen as the heuristic model object. The paper examines the divergent component of evolutionary trajectory formation. As a result of the simulation, the dependence of the potential variability parameter on the position of the fitness function landscape was obtained. The simulation results are in agreement with the real data of molecular evolution experiments.

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Держатели документа:
RAS, SB, Inst Biophys, Fed Res Ctr,Krasnoyarsk Sci Ctr, 50 Akad Gorodok, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Bartsev, S.; Baturina, P.

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A heuristic neural network model in the research of properties of evolutionary trajectories / S. Bartsev, P. Baturina // 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. 4, DOI 10.1088/1757-899X/537/4/042001
Кл.слова (ненормированные):
Molecular biology -- Artificial networks -- Common property -- Evolving systems -- Fitness functions -- Heuristic model -- Molecular evolution -- Neural network model -- Trajectory formation -- Heuristic methods
Аннотация: There is considerable data on molecular evolution, but there remains no approach to systematizing them within the framework of the key problems of biology. To search for the most common properties of evolving systems, the heuristic method has been proposed. Artificial networks of formal neurons were chosen as the heuristic model object. The paper examines the divergent component of evolutionary trajectory formation. As a result of the simulation, the dependence of the potential variability parameter on the position of the fitness function landscape was obtained. The simulation results are in agreement with the real data of molecular evolution experiments. © Published under licence by IOP Publishing Ltd.

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Держатели документа:
Institute of Biophysics SB RAS, Federal Research Center, Krasnoyarsk Scientific Center SB RAS, 50, Akademgorodok, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
Bartsev, S.; Baturina, P.

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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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A study of the phenological variability of terrestrial ecosystems in the south of the Krasnoyarsk Territory and Khakassia based on satellite data / I. Y. Botvich, A. P. Shevyrnogov // Biophysics. - 2017. - Vol. 62, Is. 4. - P667-670, DOI 10.1134/S0006350917040030 . - ISSN 0006-3509
Кл.слова (ненормированные):
agricultural crops -- phenology -- satellite data -- woody vegetation
Аннотация: The patterns of the phase portraits of vegetation (agrophytocenosis, woody vegetation) constructed using two-dimensional space radiation temperature values and Normalized Difference Vegetation Index were studied. An analysis of the phenological variability of vegetation in the south of the Krasnoyarsk Territory and the Republic of Khakassia during the growing seasons of 2003 and 2006 was carried out. Distinctive features of the phase portraits of agrophytocenosis and woody vegetation were revealed. The possibility of determining the boundaries of phenological states in the phytocenosis, and the transition range from one state into another was shown. Based on the complex analysis of the reflexive and radiative properties of the plant samples, an algorithm for calculating the start and end of the growing season was developed. © 2017, Pleiades Publishing, Inc.

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Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Botvich, I. Y.; Shevyrnogov, A. P.

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A study of the stationary and the anomalous in the ocean surface chlorophyll distribution by satellite data [Text] / A. . Shevyrnogov, G. . Vysotskaya, E. . Shevyrnogov // Int. J. Remote Sens. - 2004. - Vol. 25: Oceans from Space Venice 2000 Symposium (OCT 09-13, 2000, Venice, ITALY), Is. 07.08.2013. - P. 1383-1387, DOI 10.1080/01431160310001592337. - Cited References: 8 . - ISSN 0143-1161

РУБ Remote Sensing + Imaging Science & Photographic Technology

Аннотация: Variability of chlorophyll concentration in the ocean is one of the most important components of the primary production process on the planet. To preserve the biosphere and to make appropriate use of it, it is imperative to have a deep insight into the long-term dynamics of the primary production on the planet. To investigate the dynamics of chlorophyll concentration based on satellite data, the Institute of Biophysics (Russian Academy of Sciences, Siberian Branch) has developed a geoinformation system. It was used to detect the areas in the global ocean that are quasistationary in relation to seasonal dynamics of chlorophyll concentration. Areas such as these, found in the Indian Ocean, are described in this work. These areas form the basis for the analysis of long-term dynamics of chlorophyll concentration. In these quasistationary zones systematic monitoring of phytopigment concentration is conducted by space-borne and marine craft. The work presents long-term satellite-based data on the space distribution of anomalous deviations of chlorophyll concentration in the ocean. An anomaly criterion is proposed and maps of Pacific Ocean areas with a high probability of anomalies are presented.

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Держатели документа:
RAS, SB, Inst Biophys, Krasnoyarsk 660036, Russia
RAS, SB, Inst Computat Modeling, Krasnoyarsk, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Shevyrnogov, A...; Vysotskaya, G...; Shevyrnogov, E...

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A study of the stationary and the anomalous in the ocean surface chlorophyll distribution by satellite data / A. Shevyrnogov, G. Vysotskaya, E. Shevyrnogov // International Journal of Remote Sensing. - 2004. - Vol. 25, Is. 7-8. - P1383-1387 . - ISSN 0143-1161
Кл.слова (ненормированные):
Chlorophyll -- Data reduction -- Oceanography -- Planets -- Probability -- Satellite communication systems -- Biospheres -- Remote sensing -- chlorophyll -- concentration (composition) -- remote sensing -- satellite data -- sea surface
Аннотация: Variability of chlorophyll concentration in the ocean is one of the most important components of the primary production process on the planet. To preserve the biosphere and to make appropriate use of it, it is imperative to have a deep insight into the long-term dynamics of the primary production on the planet. To investigate the dynamics of chlorophyll concentration based on satellite data, the Institute of Biophysics (Russian Academy of Sciences, Siberian Branch) has developed a geoinformation system. It was used to detect the areas in the global ocean that are quasistationary in relation to seasonal dynamics of chlorophyll concentration. Areas such as these, found in the Indian Ocean, are described in this work. These areas form the basis for the analysis of long-term dynamics of chlorophyll concentration. In these quasistationary zones systematic monitoring of phytopigment concentration is conducted by space-borne and marine craft. The work presents long-term satellite-based data on the space distribution of anomalous deviations of chlorophyll concentration in the ocean. An anomaly criterion is proposed and maps of Pacific Ocean areas with a high probability of anomalies are presented. В© 2004 Taylor and Francis Ltd.

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

Доп.точки доступа:
Shevyrnogov, A.; Vysotskaya, G.; Shevyrnogov, E.

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Accumulation of elements by submerged (Stuckenia pectinata (L.) Borner) and emergent (Phragmites australis (Cav.) Trin. ex Steud.) macrophytes under different salinity levels / O. V. Anishchenko, A. P. Tolomeev, E. A. Ivanova [et al.] // Plant Physiol. Biochem. - 2020. - Vol. 154. - P328-340, DOI 10.1016/j.plaphy.2020.05.019 . - ISSN 0981-9428
Кл.слова (ненормированные):
Aquatic plants -- Essential/beneficial elements -- Non-essential elements -- Water conductivity
Аннотация: Accumulation of essential/beneficial and non-essential chemical elements by submerged (Stuckenia pectinata (L.) Borner) and emergent (Phragmites australis (Cav.) Trin. ex Steud.) rooted macrophytes in three water bodies was studied as dependent on water salinity (specific conductivity) and main environmental factors (temperature, pH of water, growing period, element contents in water and sediments). Inductively coupled plasma optical emission spectrometry (ICP - OES) was used for the element detection in the plants, sediments, and water. Multivariate statistics redundancy analysis (RDA) showed that investigated factors together explained 37.8 - 44.7% and 29.9 - 42.6% of the essential/beneficial and non-essential elements variability, respectively, whereas salinity was one of the main factors determining the accumulation of a number of elements (Mg, S, Na, Li, Sr, Sb) by the macrophytes. A decrease in the essential element contents (K, P, N, Cu, Zn) was observed in both species of the macrophytes during the growing season. Environmental factors (salinity, growing period, and pH) were more significant than the element contents in water and the sediments for the essential/beneficial element accumulation by two species of the macrophytes. The element contents in the sediments to a greater extent determined non-essential element accumulation by P. australis than by S. pectinata. The study showed that the efficiency of using P. australis and S. pectinata for remediation of aquatic ecosystems contaminated by heavy metals should not decrease with a salinity increase. © 2020 Elsevier Masson SAS

Scopus
Держатели документа:
Institute of Biophysics SB RAS, Federal Research Center “Krasnoyarsk Science Center SB RAS”, Akademgorodok, 50/50, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, 79, Svobodny av., Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
Anishchenko, O. V.; Tolomeev, A. P.; Ivanova, E. A.; Drobotov, A. V.; Kolmakova, A. A.; Zuev, I. V.; Gribovskaya, I. V.

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Accumulation of elements by submerged (Stuckenia pectinata (L.) Borner) and emergent (Phragmites australis (Cay.) Trin. ex Steud.) macrophytes under different salinity levels / O. V. Anishchenko, A. P. Tolomeev, E. A. Ivanova [et al.] // Plant Physiol. Biochem. - 2020. - Vol. 154. - P328-340, DOI 10.1016/j.plaphy.2020.05.019. - Cited References:44. - The work was supported by Russian Foundation for Basic Research, grant No. 15-04-00797-a. The authors are grateful to the staff of Analytical Laboratory at the Institute of Biophysics SB RAS for the plant and sediment sample preparation for ICP-OES analysis and Elena Krasova for linguistic check and improvements. . - ISSN 0981-9428

РУБ Plant Sciences
Рубрики:
SEDIMENT QUALITY GUIDELINES
HEAVY-METAL ACCUMULATION
SALT-MARSH
Кл.слова (ненормированные):
Aquatic plants -- Essential/beneficial elements -- Non-essential elements -- Water conductivity
Аннотация: Accumulation of essential/beneficial and non-essential chemical elements by submerged (Stuckenia pectinata (L.) Borner) and emergent (Phragmites australis (Cay.) Trin. ex Steud.) rooted macrophytes in three water bodies was studied as dependent on water salinity (specific conductivity) and main environmental factors (temperature, pH of water, growing period, element contents in water and sediments). Inductively coupled plasma optical emission spectrometry (ICP - OES) was used for the element detection in the plants, sediments, and water. Multivariate statistics redundancy analysis (RDA) showed that investigated factors together explained 37.8 44.7% and 29.9 - 42.6% of the essential/beneficial and non-essential elements variability, respectively, whereas salinity was one of the main factors determining the accumulation of a number of elements (Mg, S, Na, Li, Sr, Sb) by the macrophytes. A decrease in the essential element contents (K, P, N, Cu, Zn) was observed in both species of the macrophytes during the growing season. Environmental factors (salinity, growing period, and pH) were more significant than the element contents in water and the sediments for the essential/beneficial element accumulation by two species of the macrophytes. The element contents in the sediments to a greater extent determined non-essential element accumulation by P. australis than by S. pectinata. The study showed that the efficiency of using P. australis and S. pectinata for remediation of aquatic ecosystems contaminated by heavy metals should not decrease with a salinity increase.

WOS
Держатели документа:
Fed Res Ctr Krasnoyarsk Sci Ctr SB RAS, Inst Biophys SB RAS, Akad Gorodok 50-50, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, 79 Svobodny Av, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Anishchenko, O., V; Tolomeev, A. P.; Ivanova, E. A.; Drobotov, A., V; Kolmakova, A. A.; Zuev, I., V; Gribovskaya, I., V; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [15-04-00797-a]

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Advances in the use of molecular tools in ecological and biodiversity assessment of aquatic ecosystems / M. J. Feio, A. F. Filipe, A. Garcia-Raventos [et al.] // Limnetica. - 2020. - Vol. 39: 19th Congress of the Iberian-Association-of-Limnology (AIL) (JUN 24-29, 2018, Coimbra, PORTUGAL), Is. 1. - P419-440, DOI 10.23818/limn.39.27. - Cited References:92. - We are grateful to all participants of the special session "The use of molecular tools in ecological and biodiversity assessment of aquatic ecosystems" for the productive discussions during the AIL 2018 meeting (XIX Iberian Association of Limnology meeting in Coimbra (Portugal, June 2018). M.J. Feio is supported by MARE strategic program (UID/MAR/04292/2013); SFP Almeida is supported by GeoBioTec strategic program UID/GEO/04035/2019. R. Cordeiro was supported by a Ph.D. Grant (M3.1.a/F/017/2011) from Fundo Regional da Ciencia e Tecnologia (FRCT); A.F. Filipe and A. Garcia-Raventos were supported by FRESHING Project "Next-generation biomonitoring: freshwater bioassessment and species conservation improved with metagenomics" funded by the Portuguese Foundation for Science and Technology (FCT) and COMPETE (PTDC/AAG-MAA/2261/2014 -POCI-01-0145-FEDER-356 016824); F.M.S. Martins was supported by a FCT PhD grant (SFRH/BD/104703/2014); A.R. Calapez was supported by a grant from the FCT-PhD programme FLUVIO (PD\BD\52510\2014); A.M. Pujante acknowledges the BIOWAT-KIT_E!11892 Eurostars project; Maria Fais and Sofia Duarte were supported, respectively, by a PhD (SFRH/BD/113547/2015) and a post-doc fellowship (SFRH/BPD/109842/2015), from FCT; and C. Murria acknowledges the Fundacio Aigues de Barcelona for funding his research. . - ISSN 0213-8409. - ISSN 1989-1806

РУБ Limnology + Marine & Freshwater Biology
Рубрики:
BARCODE REFERENCE LIBRARY
METABARCODING APPROACH
RAPID ASSESSMENT
Кл.слова (ненормированные):
eDNA -- metabarcoding -- conservation -- ecological quality -- species -- detection -- rivers -- lakes -- thermal springs -- estuaries -- lagoons
Аннотация: Conservation and sustainable management of aquatic ecosystems is a priority in environmental programs worldwide. However, these aims are highly dependent on the efficiency, accuracy and cost of existent methods for the detection of keystone species and monitoring of biological communities. Rapid advances in eDNA, barcoding and metabarcoding promoted by high-throughput sequencing technologies are generating millions of sequences in a fast way, with a promising cost reduction, and overcoming some difficulties of the traditional taxonomic approaches. This paper provides an updated broad perspective of the current developments in this dynamic field presented in the special session (SS) "The use of molecular tools in ecological and biodiversity assessment of aquatic ecosystems" of the XIX Congress of the Iberian Association of Limnology (AIL2018), held in Coimbra, Portugal. Developments presented are mainly focused on the Iberian Peninsula (Portugal and Spain, including Atlantic Macaronesian islands) but include studies in France, Germany, Finland, Russia (Siberia) and South America. The networks within which these researchers are involved are yet even broader, profiting from existing molecular facilities, and traditional taxonomic expertise, which can be viewed as a characteristic of this new research area. It was evident in the SS that the use of molecular tools is widespread, being used to study a diversity of aquatic systems, from rivers' headwaters to estuaries and coastal lagoons, and volcanic, mountain and frozen lakes to hot springs. The organisms targeted are likewise varied and include fish, macroinvertebrates, meiofauna, microalgae such as diatoms and dinoflagellates, other protists, fungi, and bacteria (cyanobacteria and other). Some studies address the whole biodiversity (i.e., all species present independently of the taxonomic group) from environmental samples of water, biofilms and preservative solution from field samples (e.g., ethanol from macroinvertebrate samples). Great advances were acknowledged in the special session, namely in the use of metabarcoding for detecting hidden biodiversity, juvenile stages, low-abundance species, non-indigenous species and toxicity potential, and ultimately for ecological monitoring of diatoms and invertebrates. Yet, several drawbacks were highlighted and need further work, which include: taxonomic gaps in the reference databases (including gaps at species level and on intraspecific variability) or absence of public databases (e.g. for meiofauna), still high sequencing costs, the need of a substantial bioinformatics effort, difficulties in establishing the amount of environmental sample necessary for a good DNA extraction and the need for testing different genetic markers to obtain accurate results.

WOS
Держатели документа:
Marine & Environm Sci Ctr MARE, Coimbra, Portugal.
Univ Coimbra, Fac Sci & Technol, Dept Life Sci, Coimbra, Portugal.
Univ Porto, CIBIO InBio, Ctr Invest Biodiversidade & Recursos Genet, Campus Vairdo,Vila Conde, Porto, Portugal.
Univ Lisbon, Inst Super Agron, Ctr Invest Biodiversidade & Recursos Genet, CIBIO InBio, Lisbon, Portugal.
Univ Oviedo, Dept Funct Biol, C Julian Claveria S-N, E-33006 Oviedo, Spain.
Univ Lisbon, Sch Agr, Linking Landscape Environm Agr & Food LEAF, Lisbon, Portugal.
Labs Tecnol Levante SL, Avda Benjamin Franklin 16, Valencia 46980, Spain.
Univ Aveiro, Dept Biol & GeoBioTec GeoBioSci, GeoTechnol & GeoEngn Res Ctr, Campus Santiago, P-3810193 Aveiro, Portugal.
Univ Barcelona, Grup Recerca Freshwater Ecol Hydrol & Management, Avinguda Diagonal 643, E-08028 Barcelona, Spain.
Univ Barcelona, Inst Recerca Biodiversitat IRBio, Dept Biol Evolut Ecol & Ciencies Ambientals, Fac Biol, Avinguda Diagonal 643, E-08028 Barcelona, Spain.
Siberian Fed Univ, Fac Biol & Biotechnol, Dept Aquat & Terr Ecosyst, Svobodnyy 79, Krasnoyarsk 660041, Russia.
Univ Porto, Dept Biol, Fac Ciencias, Porto, Portugal.
Univ Minho, Ctr Mol & Environm Biol CBMA, Dept Biol, Campus Gualtar, P-4710057 Braga, Portugal.
Univ Cantabria, Environm Hydraul Inst, C Isabel Torres 15, Santander 39011, Spain.
Univ Acores, InBIO Lab Associado, Ctr Invest Biodiversidade & Recursos Genet, CIBIO,Fac Ciencias & Tecnol, P-9501801 Ponta Delgada, Portugal.
Univ Savoie Mt Blanc, INRA, CARRTEL, 75 Av Corzent, F-74200 Thonon Les Bains, France.
Univ Oulu, Dept Ecol & Genet, Stream Ecol Res Grp, Oulu, Finland.
CSIC, Natl Museum Nat Sci, Spanish Natl Res Council, Calle Jose Gutierrez Abascal 2, E-28006 Madrid, Spain.
Allgenetics, Edificio CICA,Campus Elvilia S-N, E-15008 La Coruna, Spain.
FAUNATICA, Kutojantie 11, Espoo, Finland.
Res Inst Ecosyst Anal & Assessment, Kackertstr 10, D-52072 Aachen, Germany.
Russian Acad Sci BI SB RAN, Biophys Inst, Siberian Branch, 50 Akad Gorodok,Str 50, Krasnoyarsk 660036, Russia.
Univ Perpignan, EPHE UPVD CNRS, 52 Ave Paul Alduy, F-66860 Perpignan, France.
CRIOBE, Lab Excellence Corail, BP 1013, Moorea, French Polynesi, France.

Доп.точки доступа:
Feio, Maria Joao; Filipe, Ana Filipa; Garcia-Raventos, Aina; Ardura, Alba; Calapez, Ana Raquel; Pujante, Ana Maria; Mortagua, Andreia; Murria, Cesc; Diaz-de-Quijano, Daniel; Martins, Filipa M. S.; Duarte, Sofia; Bariain, Marta Sainz; Cordeiro, Rita; Rivera, Sinziana F.; Vaisanen, Leif O. S.; Fonseca, Amelia; Goncalves, Vitor; Garcia-Vazquez, Eva; Rodriguez, David Vieites; Ivanova, Elena A.; Costa, Filipe O.; Barquin, Jose; Rojo, Veronica; Vierna, Joaquin; Fais, Maria; Suarez, Marcos; Nieminen, Marko; Hammers-Wirtz, Monica; Kolmakova, Olesia, V; Trusova, Maria Y.; Beja, Pedro; Gonzalez, Raquel; Planes, Serge; Almeida, Salome F. P.; MARE strategic program [UID/MAR/04292/2013]; GeoBioTec strategic program [UID/GEO/04035/2019]; Fundo Regional da Ciencia e Tecnologia (FRCT) [M3.1.a/F/017/2011]; FRESHING Project "Next-generation biomonitoring: freshwater bioassessment and species conservation improved with metagenomics" - Portuguese Foundation for Science and Technology (FCT); COMPETE [PTDC/AAG-MAA/2261/2014 -POCI-01-0145-FEDER-356 016824]; FCTPortuguese Foundation for Science and Technology [SFRH/BD/104703/2014, SFRH/BD/113547/2015, SFRH/BPD/109842/2015]; FCT-PhD programme FLUVIO [PD\BD\52510\2014]; Eurostars project [BIOWAT-KIT_E!11892]; Fundacio Aigues de Barcelona

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10.

Analysis of the variability of temperature gradient in the ocean frontal zones based on satellite data / A. V. Kartushinsky, A. Y. Sidorenko // Advances in Space Research. - 2013, DOI 10.1016/j.asr.2013.07.023 . - ISSN 0273-1177
Кл.слова (ненормированные):
Frontal zones -- North Atlantic oscillation -- Sea surface temperature gradients -- South oscillation - El Ninjo -- Thermohaline circulation -- Variability of gradients
Аннотация: AVHRR MCSST data for the periods 1982-2000 (mean weekly data) were used to calculate mean gradient fields in the ocean for different periods of time. Three-month averaged sea surface temperature gradients (SSTG) and their mean seasonal variations have been studied for 25 points in the large-scale oceanic fronts zones. Major oceanic fronts in the Atlantic and Pacific have been identified and compared in literature. In the North Atlantic and Pacific, the areas under study were the North Polar Front and Subpolar Fronts. In the South Atlantic and Pacific we studied the region of the Antarctic Circumpolar Current (ACC) and the fronts formed by this current, known as the South Polar Front, and the Subantarctic Front. SSTG were also calculated for El Nino (Southeast Pacific) and Benguela Current (Southeast Atlantic). In warm periods seasonal SSTG in the North Atlantic markedly increased and exhibit some interannual cycles. The correlation between the North Atlantic Oscillation index and seasonal SSTG for a single point in the Gulf Stream zone can be the key point for evaluation of heat transfer by the currents to the coast of East Europe. In the Southern Atlantic, the SSTG values are low during the cold period (summer in the southern hemisphere) in the ACC zone and increase in the warm season (winter in the southern hemisphere). It also exhibits interannual cycles. In the Northwest Pacific for some points in the Subpolar Front the SSTG values are high in the cold period (winter). Here at seven points in the spring of 1993 and 2000 the calculations disclosed significant increase of the gradient. In these years, the anomalous SSTG in Subpolar Front and South Polar Front were found to vary synchronously in both hemispheres, with maximum intensity in spring (North Pacific) and in summer (South Pacific). Mean annual SSTG in the El Nino zone and south oscillation index have been found to exhibit some correlation. Major jet currents periodically form high-gradient temperature fields and from the temperature satellite data we can derive information about variation in the large-scale fronts in the Global Ocean. В© 2013 COSPAR.

Scopus
Держатели документа:
Siberian Federal University, 79 Svobodny, Krasnoyarsk 660041, Russia
Institute of Biophysics, Russian Academy of Sciences, Siberian Branch, Akademgorodok, Krasnoyarsk 660036, Russia : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Kartushinsky, A.V.; Sidorenko, A.Y.

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11.

Application of satellite data for investigation of dynamic processes in inland water bodies: Lake Shira (Khakasia, Siberia), a case study / A. P. Shevyrnogov, A. V. Kartushinsky, G. S. Vysotskaya // Aquatic Ecology. - 2002. - Vol. 36, Is. 2. - P153-163, DOI 10.1023/A:1015658927683 . - ISSN 1386-2588
Кл.слова (ненормированные):
Modelling -- Phytopigments -- Satellite data -- Satellite equipment -- Software -- Temperature -- AVHRR -- hydrodynamics -- lake -- limnology -- remote sensing -- saline lake -- satellite data -- water temperature -- Russian Federation
Аннотация: This work describes avenues to use satellite information to analyse dynamic processes in aquatic ecosystems. Information for this analysis, was retrieved from AVHRR satellite sensor data. This information consisteds of time series of images of radiation temperature and turbidity. We expect this information will be of great value in analysing inland water bodies. Methods to process satellite information using original software and data processing techniques are proposed. For the investigation of the process and analyses of satellite information Shira Lake (Khakasia, Siberia) was used as a case study. To study the variability of the surface temperature and turbidity of the Lake in summer, the satellite and ground-truth data of the lake was applied. This study represents the first evaluation of the dynamic processes for Lake Shira based on satellite, ground-truth and modelling data. We developed algorithms and software to process satellite images to enable the reconstruction of time dependence of temperature and spectral reflectance of water bodies in the visible range, and to make computer-animated films visualising the spatial and temporal dynamics of the study parameters. The analyses of morphometric, meteorological and hydrological characteristics of Lake Shira have provided a realistic opportunity for processing the satellite information and to develop numerical models of variability of the hydrological regime of the lake. The results obtained demonstrate the feasibility of systematically retrieving the spatial information from the satellite data on the dynamics of the surface water temperature and of the suspended matter in the lake.

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

Доп.точки доступа:
Shevyrnogov, A.P.; Kartushinsky, A.V.; Vysotskaya, G.S.

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12.

    Assessment of the state of forest vegetation in Krasnoyarsk Territory (Stolby Nature Reserve) according to satellite data / T. I. Pisman, I. Y. Botvich, A. P. Shevyrnogov // Sovrem. Probl. Distancionnogo Zondirovania Zemli kosm. - 2018. - Vol. 15, Is. 5. - С. 169-178, DOI 10.21046/2070-7401-2018-15-5-130-140 . - ISSN 2070-7401
   Перевод заглавия: Оценка состояния лесной растительности красноярского края (заповедник «Столбы») по спутниковым данным
Кл.слова (ненормированные):
Anthropogenic factors -- Climate -- Coniferous and deciduous vegetation -- Modis -- NDVI trends -- Satellite sounding -- Stolby Nature Reserve
Аннотация: The variability of the state of forest vegetation was studied basing on the analysis of NDVI time series (2003–2016) of coniferous and deciduous stands and climate in Krasnoyarsk Territory (Stolby Nature Reserve). The initial data were 8-day Modis satellite information (MOD09Q1 product) and meteorological information from terrestrial weather stations. It was revealed that the trends of the averaged NDVI of forest vegetation for the period May – September and the maximum NDVI were negative. An analysis of the relationship between the dynamics of NDVI forest vegetation and the hydrothermal factor on the territory of the reserve in the 14-year cycle revealed an insignificant correlation between these variables. The negative NDVI trends of coniferous and deciduous stands indicate degradation processes. Deterioration of the state of forest vegetation in the study area detected by satellite data is explained by a combination of factors: climate change, anthropogenic impact of Krasnoyarsk and presence of old-aged forest. © 2018 Space Research Institute of the Russian Academy of Sciences. All rights reserved.

Scopus,
Смотреть статью
Держатели документа:
Institute of Biophysics SB RAS, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Pisman, T. I.; Botvich, I. Y.; Shevyrnogov, A. P.

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13.

Chlorophyll fluorescence induction and estimation of plant resistance to stress factors / T. V. Nesterenko, A. A. Tikhomirov, V. N. Shikhov // Zhurnal Obshchei Biologii. - 2007. - Vol. 68, Is. 6. - С. 444-458 . - ISSN 0044-4596
Кл.слова (ненормированные):
chlorophyll -- adaptation -- cucumber -- fluorescence -- growth, development and aging -- metabolism -- physiology -- plant leaf -- review -- Adaptation, Physiological -- Chlorophyll -- Cucumis sativus -- Fluorescence -- Plant Leaves -- Cucumis sativus
Аннотация: The usage of chlorophyll fluorescence induction (CFI) for estimating various types of plant resistance (primary, general, initial, adaptive) to stress factors is reviewed. The necessity of ontogenetic approach (considering the age-specific properties of the photosynthetic apparatus) in determining general and adaptive resistance of plants to prolonged action of stress factors by the CFI method is argued. In the plant Cucumbis sativus L., the possibility is shown of using age-specific qualitative and quantitative traits of leaf CFI (changes in the shape of chlorophyll fluorescence induction curves and in the dynamics of CFI parameters in the course of leaf ontogeny) for comparative study of differences between fully active and stressed plants. Possible criteria are suggested for estimating the effect of outer stress factors by the presence or absence of a steady-state phase in the dynamics of CFI parameters during leaf ontogeny. It is also suggested to use the duration of the steady-state phase following the termination of leaf growth (estimated by the dynamics of the slow phase of CFI as the ratio of fluorescence intensity at the peak P and the steady-state fluorescence intensity, FP/FS, or as the viability index Rfd) and the variability of CFI parameters during this period as qualitative estimates of plant resistance to prolonged action of stress factors.

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

Доп.точки доступа:
Nesterenko, T.V.; Tikhomirov, A.A.; Shikhov, V.N.

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14.

COMPONENTS OF THE VARIABILITY OF RADIAL CELL-SIZE IN TREE RINGS OF CONIFERS [Text] / L. G. VYSOTSKAYA, E. A. VAGANOV // IAWA BULLETIN. - 1989. - Vol. 10, Is. 4. - P. 417-428. - Cited References: 0 . - ISSN 0254-3915

РУБ Plant Sciences + Forestry

WOS : 660036, Красноярск, Академгородок, д. 50, стр. 50
Доп.точки доступа:
VYSOTSKAYA, L.G.; VAGANOV, E.A.

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15.

Deeper waters are changing less consistently than surface waters in a global analysis of 102 lakes / R. M. Pilla, C. E. Williamson, B. V. Adamovich [et al.] // Sci Rep. - 2020. - Vol. 10, Is. 1. - Ст. 20514, DOI 10.1038/s41598-020-76873-x. - Cited References:87. - This work was conceived at the Global Lake Ecological Observatory Network (GLEON), and benefited from continued participation and travel support from GLEON. This manuscript is dedicated to the late Alon Rimmer and Karl Havens, who provided data and contributed to earlier versions of this manuscript. Funding in support of this work came from the following sources: Belarus Republican Foundation for Fundamental Research; IGB Long-Term Research; the European Commission within the MANTEL project; the DFG within the LimnoScenES project (AD 91/22-1); OLA-IS, AnaEE-France, INRAE of Thonon-les-Bains, CIPEL, SILA, CISALB; Universidad del Valle de Guatemala; Archbold Biological Station; the Oklahoma Department of Wildlife Conservation, the Oklahoma Water Resources Board, the Grand River Dam Authority, the US Army Corps of Engineers, and the City of Tulsa; the Ministry of Business, Innovation, and Employment (UOW X1503); the Natural Environment Research Council of the UK; the IGB's International Postdoctoral Fellowship; NSERC, Canada Foundation for Innovation, Canada Research Chairs, Province of Saskatchewan; University of Regina; Queen's University Belfast; Natural Environment Research Council; US-NSF, California Air Resources Board, NASA, and US National Park Service; the Ministry of Higher Education and Research (projects No FZZE-2020-0026; No FZZE-2020-0023) and RSCF 20-64-46003; US National Science Foundation Long Term Research in Environmental Biology program (DEB-1242626); the Environmental Agency of Verona; US National Science Foundation, the Gordon and Betty Moore Foundation, the Mellon Foundation, and the University of Washington; KMFRI, LVEMP, University of Innsbruck, OeAD, IFS, and LVFO-EU; Waikato Regional Council and Bay of Plenty Regional Council; Swedish Environmental Protection Agency and the Swedish Infrastructure for Ecosystem Sciences; US National Science Foundation grants DEB-1754276 and DEB-1950170. We thank J. Klug, P. McIntyre, H. Swain, K. Tominaga, A. Voutilainen, and L. Winslow for their feedback on early drafts that substantially improved this manuscript. Additional detailed acknowledgements can be found in the Supplementary Information online. . - ISSN 2045-2322

РУБ Multidisciplinary Sciences
Рубрики:
DISSOLVED ORGANIC-CARBON
   LONG-TERM CHANGES
   CLIMATE-CHANGE
   OXYGEN
Аннотация: Globally, lake surface water temperatures have warmed rapidly relative to air temperatures, but changes in deepwater temperatures and vertical thermal structure are still largely unknown. We have compiled the most comprehensive data set to date of long-term (1970-2009) summertime vertical temperature profiles in lakes across the world to examine trends and drivers of whole-lake vertical thermal structure. We found significant increases in surface water temperatures across lakes at an average rate of+0.37 degrees C decade(-1), comparable to changes reported previously for other lakes, and similarly consistent trends of increasing water column stability (+0.08 kg m(-3) decade(-1)). In contrast, however, deepwater temperature trends showed little change on average (+0.06 degrees C decade(-1)), but had high variability across lakes, with trends in individual lakes ranging from -0.68 degrees C decade(-1) to+0.65 degrees C decade(-1). The variability in deepwater temperature trends was not explained by trends in either surface water temperatures or thermal stability within lakes, and only 8.4% was explained by lake thermal region or local lake characteristics in a random forest analysis. These findings suggest that external drivers beyond our tested lake characteristics are important in explaining long-term trends in thermal structure, such as local to regional climate patterns or additional external anthropogenic influences.

WOS
Держатели документа:
Miami Univ, Dept Biol, Oxford, OH 45056 USA.
Belarusian State Univ, Fac Biol, Minsk, BELARUS.
Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Ecosyst Res, Berlin, Germany.
Free Univ Berlin, Berlin, Germany.
INRAE, CARRTEL, Thonon Les Bains, France.
Univ Nevada, Global Water Ctr, Reno, NV 89557 USA.
Uppsala Univ, Dept Ecol & Genet Limnol, Uppsala, Sweden.
Univ Montana, Flathead Lake Biol Stn, Polson, MT 59860 USA.
Univ Valle Guatemala, Inst Investigacones, Guatemala City, Guatemala.
Univ Innsbruck, Res Dept Limnol Mondsee, Mondsee, Austria.
Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA.
Natl Pk Serv, Crater Lake Natl Pk, Crater Lake, OR USA.
Univ Oklahoma, Dept Biol, Plankton Ecol & Limnol Lab, Norman, OK 73019 USA.
Univ Oklahoma, Geog Ecol Grp, Norman, OK 73019 USA.
Griffith Univ, Australian Rivers Inst, Nathan, Qld, Australia.
Univ Florida, Florida Sea Grant & UF IFAS, Gainesville, FL USA.
Univ Oslo, Dept Biosci, Oslo, Norway.
IISD Expt Lake Area Inc, Winnipeg, MB, Canada.
Finnish Environm Inst SYKE, Freshwater Ctr, Helsinki, Finland.
Univ Eastern Finland, Dept Environm & Biol Sci, Joensuu, Finland.
Eawag Swiss Fed Inst Aquat Sci & Technol, Dept Aquat Ecol, Dubendorf, Switzerland.
CSIRO, Land & Water, Canberra, ACT, Australia.
Univ Stirling, Biol & Environm Sci, Stirling, Scotland.
Laurentian Univ, Cooperat Freshwater Ecol Unit, Ramsey Lake Rd, Sudbury, ON, Canada.
Univ Minnesota, Itasca Biol Stn & Labs, Lake Itasca, MN USA.
Univ Regina, Inst Environm Change & Soc, Regina, SK, Canada.
Queens Univ Belfast, Inst Global Food Secur, Belfast, Antrim, North Ireland.
Univ Appl Sci & Arts Southern Switzerland, Dept Environm Construct & Design, Canobbio, Switzerland.
Fed Agcy Water Management, Mondsee, Austria.
UK Ctr Ecol & Hydrol, Lake Ecosyst Grp, Lancaster, England.
Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA.
Ryerson Univ, Dept Chem & Biol, Toronto, ON, Canada.
Univ Hamburg, Dept Biol, Hamburg, Germany.
Irkutsk State Univ, Inst Biol, Irkutsk, Russia.
Univ Liege, Liege, Belgium.
SUNY Coll New Paltz, Dept Biol, New Paltz, NY 12561 USA.
Israel Oceanog & Limnol Res, Kinneret Limnol Lab, Migdal, Israel.
CNR Water Res Inst, Verbania, Italy.
Ontario Minist Environm Conservat & Parks, Dorset Environm Sci Ctr, Dorset, ON, Canada.
Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA.
Fdn Edmund Mach FEM, Dept Sustainable Agroecosyst & Bioreso, Res & Innovat Ctr, San Michele All Adige, Italy.
Univ Maine, Climate Change Inst, Orono, ME USA.
Univ Laval, Ctr Etud Nord, Quebec City, PQ, Canada.
Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA.
Eawag Swiss Fed Inst Aquat Sci & Technol, Surface Waters Res & Management, Kastanienbaum, Switzerland.
Tech Univ Kenya, Dept Geosci & Environm, Nairobi, Kenya.
Univ Innsbruck, Dept Ecol, Innsbruck, Austria.
Univ Konstanz, Limnol Inst, Constance, Germany.
Dickinson Coll, Dept Environm Sci, Carlisle, PA 17013 USA.
Vrije Univ Brussel, Dept Hydrol & Hydraul Engn, Brussels, Belgium.
Eidgenoss Tech Hsch Zurich, Inst Atmospher & Climate Sci, Zurich, Switzerland.
Natl Inst Water & Atmospher Res, Hamilton, New Zealand.
Univ Alberta, Dept Biol Sci, Edmonton, AB, Canada.
Russian Acad Sci, Krasnoyarsk Sci Ctr, Inst Biophys, Siberian Branch, Krasnoyarsk, Russia.

Доп.точки доступа:
Pilla, Rachel M.; Williamson, Craig E.; Adamovich, Boris V.; Adrian, Rita; Anneville, Orlane; Chandra, Sudeep; Colom-Montero, William; Devlin, Shawn P.; Dix, Margaret A.; Dokulil, Martin T.; Gaiser, Evelyn E.; Girdner, Scott F.; Hambright, K. David; Hamilton, David P.; Havens, Karl; Hessen, Dag O.; Higgins, Scott N.; Huttula, Timo H.; Huuskonen, Hannu; Isles, Peter D. F.; Joehnk, Klaus D.; Jones, Ian D.; Keller, Wendel Bill; Knoll, Lesley B.; Korhonen, Johanna; Kraemer, Benjamin M.; Leavitt, Peter R.; Lepori, Fabio; Luger, Martin S.; Maberly, Stephen C.; Melack, John M.; Melles, Stephanie J.; Muller-Navarra, D. C.; Pierson, Don C.; Pislegina, Helen V.; Plisnier, Pierre-Denis; Richardson, David C.; Rimmer, Alon; Rogora, Michela; Rusak, James A.; Sadro, Steven; Salmaso, Nico; Saros, Jasmine E.; Saulnier-Talbot, Emilie; Schindler, Daniel E.; Schmid, Martin; Shimaraeva, Svetlana V.; Silow, Eugene A.; Sitoki, Lewis M.; Sommaruga, Ruben; Straile, Dietmar; Strock, Kristin E.; Thiery, Wim; Timofeyev, Maxim A.; Verburg, Piet; Vinebrooke, Rolf D.; Weyhenmeyer, Gesa A.; Zadereev, Egor; Belarus Republican Foundation for Fundamental Research; IGB Long-Term Research; European CommissionEuropean CommissionEuropean Commission Joint Research Centre; DFGGerman Research Foundation (DFG) [AD 91/22-1]; OLA-IS; AnaEE-France; INRAE of Thonon-les-Bains; CIPEL; SILA; CISALB; Universidad del Valle de Guatemala; Archbold Biological Station; Oklahoma Department of Wildlife Conservation; Oklahoma Water Resources Board; Grand River Dam Authority; US Army Corps of EngineersUnited States Department of Defense; City of Tulsa; Ministry of Business, Innovation, and EmploymentNew Zealand Ministry of Business, Innovation and Employment (MBIE) [UOW X1503]; Natural Environment Research Council of the UKNERC Natural Environment Research Council; IGB's International Postdoctoral Fellowship; NSERCNatural Sciences and Engineering Research Council of Canada; Canada Foundation for InnovationCanada Foundation for InnovationCGIAR; Canada Research ChairsCanada Research ChairsCGIAR; Province of Saskatchewan; University of Regina; Queen's University Belfast; Natural Environment Research CouncilNERC Natural Environment Research Council; US-NSFNational Science Foundation (NSF); California Air Resources Board; NASANational Aeronautics & Space Administration (NASA); US National Park Service; Ministry of Higher Education and ResearchMinistry of Higher Education & Scientific Research (MHESR) [FZZE-2020-0026, FZZE-2020-0023]; RSCFRussian Science Foundation (RSF) [20-64-46003]; US National Science Foundation Long Term Research in Environmental Biology program [DEB-1242626]; Environmental Agency of Verona; US National Science FoundationNational Science Foundation (NSF); Gordon and Betty Moore FoundationGordon and Betty Moore Foundation; Mellon Foundation; University of WashingtonUniversity of Washington; KMFRI; LVEMP; University of Innsbruck; OeAD; IFSInternational Foundation for Science; LVFO-EU; Waikato Regional Council; Bay of Plenty Regional Council; Swedish Environmental Protection Agency; Swedish Infrastructure for Ecosystem Sciences; US National Science FoundationNational Science Foundation (NSF) [DEB-1754276, DEB-1950170]

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16.

Deeper waters are changing less consistently than surface waters in a global analysis of 102 lakes / R. M. Pilla, C. E. Williamson, B. V. Adamovich [et al.] // Sci. Rep. - 2020. - Vol. 10, Is. 1. - Ст. 20514, DOI 10.1038/s41598-020-76873-x . - ISSN 2045-2322
Аннотация: Globally, lake surface water temperatures have warmed rapidly relative to air temperatures, but changes in deepwater temperatures and vertical thermal structure are still largely unknown. We have compiled the most comprehensive data set to date of long-term (1970–2009) summertime vertical temperature profiles in lakes across the world to examine trends and drivers of whole-lake vertical thermal structure. We found significant increases in surface water temperatures across lakes at an average rate of + 0.37 °C decade?1, comparable to changes reported previously for other lakes, and similarly consistent trends of increasing water column stability (+ 0.08 kg m?3 decade?1). In contrast, however, deepwater temperature trends showed little change on average (+ 0.06 °C decade?1), but had high variability across lakes, with trends in individual lakes ranging from ? 0.68 °C decade?1 to + 0.65 °C decade?1. The variability in deepwater temperature trends was not explained by trends in either surface water temperatures or thermal stability within lakes, and only 8.4% was explained by lake thermal region or local lake characteristics in a random forest analysis. These findings suggest that external drivers beyond our tested lake characteristics are important in explaining long-term trends in thermal structure, such as local to regional climate patterns or additional external anthropogenic influences. © 2020, The Author(s).

Scopus
Держатели документа:
Department of Biology, Miami University, Oxford, OH, United States
Faculty of Biology, Belarusian State University, Minsk, Belarus
Department of Ecosystems Research, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
Freie Universitat Berlin, Berlin, Germany
CARRTEL, INRAE, Thonon-les-Bains, France
Global Water Center, University of Nevada, Reno, NV, United States
Department of Ecology and Genetics/Limnology, Uppsala University, Uppsala, Sweden
Flathead Lake Biological Station, University of Montana, Polson, MT, United States
Instituto de Investigacones, Universidad del Valle de Guatemala, Guatemala, Guatemala
Research Department for Limnology Mondsee, University of Innsbruck, Mondsee, Austria
Department of Biological Sciences, Florida International University, Miami, FL, United States
Crater Lake National Park, U.S. National Park Service, Crater Lake, OR, United States
Department of Biology, Plankton Ecology and Limnology Lab and Geographical Ecology Group, University of Oklahoma, Norman, OK, United States
Australian Rivers Institute, Griffith University, Nathan, Australia
Florida Sea Grant and UF/IFAS, University of Florida, Gainesville, FL, United States
Department of Biosciences, University of Oslo, Oslo, Norway
IISD Experimental Lake Area Inc, Winnipeg, MB, Canada
Freshwater Center, Finnish Environment Institute SYKE, Helsinki, Finland
Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
Department of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Dubendorf, Switzerland
Land and Water, CSIRO, Canberra, Australia
Biological and Environmental Sciences, University of Stirling, Stirling, United Kingdom
Cooperative Freshwater Ecology Unit, Laurentian University, Ramsey Lake Road, Sudbury, ON, Canada
Itasca Biological Station and Laboratories, University of Minnesota, Lake Itasca, MN, United States
Institute of Environmental Change and Society, University of Regina, Regina, SK, Canada
Institute for Global Food Security, Queen’s University Belfast, Belfast Co., Antrim, United Kingdom
Department for Environment, Constructions and Design, University of Applied Sciences and Arts of Southern Switzerland, Canobbio, Switzerland
Federal Agency for Water Management AT, Mondsee, Austria
Lake Ecosystems Group, UK Centre for Ecology & Hydrology, Lancaster, United Kingdom
Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, United States
Department of Chemistry and Biology, Ryerson University, Toronto, ON, Canada
Department of Biology, University of Hamburg, Hamburg, Germany
Institute of Biology, Irkutsk State University, Irkutsk, Russian Federation
University of Liege, Liege, Belgium
Department of Biology, SUNY New Paltz, New Paltz, NY, United States
The Kinneret Limnological Laboratory, Israel Oceanographic and Limnological Research, Migdal, Israel
CNR Water Research Institute, Verbania Pallanza, Italy
Dorset Environmental Science Centre, Ontario Ministry of the Environment, Conservation, and Parks, Dorset, ON, Canada
Department of Environmental Science and Policy, University of California Davis, Davis, CA, United States
Department of Sustainable Agro-Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele All’Adige, Italy
Climate Change Institute, University of Maine, Orono, ME, United States
Centre D’Etudes Nordiques, Universite Laval, Quebec, QC, Canada
School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, United States
Surface Waters-Research and Management, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
Department of Geosciences and the Environment, The Technical University of Kenya, Nairobi, Kenya
Department of Ecology, University of Innsbruck, Innsbruck, Austria
Limnological Institute, University of Konstanz, Konstanz, Germany
Department of Environmental Science, Dickinson College, Carlisle, PA, United States
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Brussels, Belgium
Institute for Atmospheric and Climate Science, Eidgenossische Technische Hochschule Zurich, Zurich, Switzerland
National Institute of Water and Atmospheric Research, Hamilton, New Zealand
Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
Institute of Biophysics, Krasnoyarsk Scientific Center Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Pilla, R. M.; Williamson, C. E.; Adamovich, B. V.; Adrian, R.; Anneville, O.; Chandra, S.; Colom-Montero, W.; Devlin, S. P.; Dix, M. A.; Dokulil, M. T.; Gaiser, E. E.; Girdner, S. F.; Hambright, K. D.; Hamilton, D. P.; Havens, K.; Hessen, D. O.; Higgins, S. N.; Huttula, T. H.; Huuskonen, H.; Isles, P. D.F.; Joehnk, K. D.; Jones, I. D.; Keller, W. B.; Knoll, L. B.; Korhonen, J.; Kraemer, B. M.; Leavitt, P. R.; Lepori, F.; Luger, M. S.; Maberly, S. C.; Melack, J. M.; Melles, S. J.; Muller-Navarra, D. C.; Pierson, D. C.; Pislegina, H. V.; Plisnier, P. -D.; Richardson, D. C.; Rimmer, A.; Rogora, M.; Rusak, J. A.; Sadro, S.; Salmaso, N.; Saros, J. E.; Saulnier-Talbot, E.; Schindler, D. E.; Schmid, M.; Shimaraeva, S. V.; Silow, E. A.; Sitoki, L. M.; Sommaruga, R.; Straile, D.; Strock, K. E.; Thiery, W.; Timofeyev, M. A.; Verburg, P.; Vinebrooke, R. D.; Weyhenmeyer, G. A.; Zadereev, E.

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17.

Degradation of bioplastic in environment / T. G. Volova [и др.] // Doklady Akademii Nauk. - 2004. - Vol. 397, Is. 5. - С. 708-710 . - ISSN 0869-5652
Кл.слова (ненормированные):
Bacteria -- Ecology -- Environmental testing -- Plastics -- Weathering -- Time dependence -- Biomaterials
Аннотация: For the first time degradation kinetics is investigated for polyhydroxyalkanoates (PHA) in the native fresh pond. Its substantial variability in dependence on ecological conditions is shown, new bacteria species (clones) capable for PHA utilization in fresh-water ecosystem are identified.

Scopus
Держатели документа:
Inst. Biofiziki SO RAN, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Volova, T.G.; Golyshev, M.I.; Trusova, M.Yu.; Zhila, N.O.; Kartushinskaya, M.V.

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18.

Evidence for two abrupt warming events of SST in the last century [Text] / C. A. Varotsos [et al.] // Theor. Appl. Climatol. - 2014. - Vol. 116, Is. 1-2. - P51-60, DOI 10.1007/s00704-013-0935-8. - Cited References: 60 . - ISSN 0177-798X. - ISSN 1434-4483

РУБ Meteorology & Atmospheric Sciences
Рубрики:
SCALING BEHAVIOR
   OZONE DEPLETION
   PERMAFROST THAW
   CLIMATE SYSTEM
   AIR-POLLUTION
   LONG-MEMORY
   TEMPERATURE
   OSCILLATION
   VARIABILITY
   DYNAMICS
Аннотация: We have recently suggested that the warming in the sea surface temperature (SST) since 1900, did not occur smoothly and slowly, but with two rapid shifts in 1925/1926 and 1987/1988, which are more obvious over the tropics and the northern midlatitudes. Apart from these shifts, most of the remaining SST variability can be explained by the El Nio Southern Oscillation and the Pacific Decadal Oscillation (PDO). Here, we provide evidence that the timing of these two SST shifts (around 60 years) corresponds well to the quasi-periodicity of many natural cycles, like that of the PDO, the global and Northern Hemisphere annual mean temperature, the Atlantic Multi-decadal Oscillation, the Inter-Tropical Convergence Zone, the Southwest US Drought data, the length of day, the air surface temperature, the Atlantic meridional overturning circulation and the change in the location of the centre of mass of the solar system. In addition, we show that there exists a strong seasonal link between SST and ENSO over the tropics and the NH midlatitudes, which becomes stronger in autumn of the Northern Hemisphere. Finally, we found that before and after each SST shift, the intrinsic properties of the SST time series obey stochastic dynamics, which is unaffected by the modulation of these two shifts. In particular, the SST fluctuations for the time period between the two SST shifts exhibit 1/f-type long-range correlations, which are frequently encountered in a large variety of natural systems. Our results have potential implications for future climate shifts and crossing tipping points due to an interaction of intrinsic climate cycles and anthropogenic greenhouse gas emissions.

WOS,
Scopus
Держатели документа:
[Varotsos, Costas A.
Efstathiou, Maria N.] Univ Athens, Climate Res Grp, Div Environm Phys & Meteorol, Fac Phys, Athens 15784, Greece
[Franzke, Christian L. E.] British Antarctic Survey, Nat Environm Res Council, Cambridge CB3 0ET, England
[Degermendzhi, Andrei G.] Russian Acad Sci, Inst Biophys, SB RAS, Krasnoyarsk, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Varotsos, C.A.; Franzke, CLE; Efstathiou, M.N.; Degermendzhi, A.G.

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19.

Evidence for two abrupt warming events of SST in the last century / C. A. Varotsos [et al.] // Theoretical and Applied Climatology. - 2013. - P1-10, DOI 10.1007/s00704-013-0935-8 . - ISSN 0177-798X
Аннотация: We have recently suggested that the warming in the sea surface temperature (SST) since 1900, did not occur smoothly and slowly, but with two rapid shifts in 1925/1926 and 1987/1988, which are more obvious over the tropics and the northern midlatitudes. Apart from these shifts, most of the remaining SST variability can be explained by the El Nino Southern Oscillation and the Pacific Decadal Oscillation (PDO). Here, we provide evidence that the timing of these two SST shifts (around 60В years) corresponds well to the quasi-periodicity of many natural cycles, like that of the PDO, the global and Northern Hemisphere annual mean temperature, the Atlantic Multi-decadal Oscillation, the Inter-Tropical Convergence Zone, the Southwest US Drought data, the length of day, the air surface temperature, the Atlantic meridional overturning circulation and the change in the location of the centre of mass of the solar system. In addition, we show that there exists a strong seasonal link between SST and ENSO over the tropics and the NH midlatitudes, which becomes stronger in autumn of the Northern Hemisphere. Finally, we found that before and after each SST shift, the intrinsic properties of the SST time series obey stochastic dynamics, which is unaffected by the modulation of these two shifts. In particular, the SST fluctuations for the time period between the two SST shifts exhibit 1/f-type long-range correlations, which are frequently encountered in a large variety of natural systems. Our results have potential implications for future climate shifts and crossing tipping points due to an interaction of intrinsic climate cycles and anthropogenic greenhouse gas emissions. В© 2013 Springer-Verlag Wien.

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Держатели документа:
Climate Research Group, Division of Environmental Physics and Meteorology, Faculty of Physics, University of Athens, University Campus Bldg. Phys. V, Athens, 15784, Greece
British Antarctic Survey, Natural Environment Research Council, Cambridge, United Kingdom
Institute of Biophysics, SB RAS, Russian Academy of Sciences, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Varotsos, C.A.; Franzke, C.L.E.; Efstathiou, M.N.; Degermendzhi, A.G.

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20.

Export of biomass and metals from aquatic to terrestrial ecosystems via the emergence of dragonflies (Insecta: Odonata) / O. N. Popova [et al.] // Contemp. Probl. Ecol. - 2016. - Vol. 9, Is. 4. - P458-473, DOI 10.1134/S1995425516040090 . - ISSN 1995-4255
Кл.слова (ненормированные):
abundance -- Barabinsk forest steppe -- biomass -- emergence -- long-term ecological monitoring -- metals -- Odonata -- Western Siberia -- Anisoptera (dragonflies) -- Diptera -- Insecta -- Libellula quadrimaculata -- Odonata
Аннотация: Long-term monitoring of the abundance and spatial distribution of 18 widespread species of Odonata has made it possible to assess their contribution to the export of aquatic productivity that entered the Barabinsk forest-steppe ecosystem. The annual emergence of Odonata varies from 0.8 to 4.9 g/m2 of the land area and from 2.3 to 13.3 g/m2 of the water area, which is 4–5 times larger than that in Diptera. The total flux of organic matter from water to terrestrial ecosystems remains relatively stable (sixfold interannual variability) irrespective of large interannual variations in the abundance of separate species (e.g., 42-fold interannual variability in Libellula quadrimaculata). The metal content was determined in nine Odonata species. Export of metals by dragonflies decreases in the series K > Na > Mg > Ca > Fe > Zn > Cu > Mn > Pb > Ni > Cr > Cd. Therefore, odonates appear to be quantitatively and qualitatively important providers of aquatic resources to the forest-steppe landscape of Western Siberia. © 2016, Pleiades Publishing, Ltd.

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Держатели документа:
Institute of Systematics and Ecology of Animals, Siberian Branch, Russian Academy of Sciences, ul. Frunze 11, Novosibirsk, Russian Federation
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, Russian Federation
Siberian Federal University, pr. Svobody 79, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Popova, O. N.; Haritonov, A. Y.; Anishchenko, O. V.; Gladyshev, M. I.

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