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SEASONAL VARIABILITY OF SEDIMENTATION FLOWS IN SALT MEROMICTIC LAKE SHIRA (KHAKASSIA) / V. V. Babich, A. V. Darin, I. A. Kalugin [и др.] // Bull. Tomsk Polytech. Univ.-Geo Assets Eng. - 2021. - Vol. 332, Is. 12. - С. 22-34, DOI 10.18799/24131830/2021/12/3178. - Cited References:29. - The work was carried out on state assignment of IGM SB RAS, supported by the Ministry of Science and Higher Education of the Russian Federation, with partial support of the RFBR - grant 21-54-52001 (setting of traps, sampling) and grant 19-05-50046 (micro-XRF-SR). . - ISSN 2500-1019. - ISSN 2413-1830

РУБ Engineering, Geological
Рубрики:
CENTRAL TIBETAN PLATEAU
NAM-CO
VARVE
Кл.слова (ненормированные):
Bottom sediments -- sedimentation traps -- salt lakes -- micro-XRF -- synchrotron radiation -- regression analysis
Аннотация: The relevance of the work is caused by the need to study seasonal variations in the volume and composition of sedimentation flows in modern lakes and their relationship with weather and climatic factors, which can serve as a basis for reconstructing climatic changes in the past. The main aim: to assess seasonal changes in the mass, velocity and chemical composition of sedimentary material entering Lake Shira on the basis of generalization and analysis of the results of multiyear annual monitoring of the material of sedimentation traps incubated in the lake. Object of the study was the drainless, slightly saline meromictic lake Shira, located in the steppe intermontane depression on the territory of the Republic of Khakassia. Methods: long-term seasonal monitoring of sedimentary material forming bottom sediments using sedimentation traps incubated in the lake; study of the obtained material for a wide range of parameters (biological, hydrochemical, lithological-geochemical, granulometric, etc.) by various conventional methods, including the method of X-ray fluorescence microanalysis on synchrotron radiation beams (XRF-SI), adapted for the study of bottom samples; computer statistical analysis of the data obtained (multiple regression method, cross-correlation analysis, etc.) in order to identify the relationship between regional temperatures and the chemical composition of the deposited material with the construction of a regression model. Results. Based on the study of the amount and elemental composition of the sedimentary material of the seasonal bottom traps of Lake Shira, collected for 2012-2017, a dynamic model of the seasonal influx of sedimentary flows in lakes of this landscape-geochemical type was formulated. It has been established that the most intensive sedimentation of the material occurs in the summer-autumn period, less - in the winter-spring period. At the same time, in spring, the accumulation of allochthonous (terrigenous) aleurite material, supplied with flood waters, predominates; in the summer-autumn period, simultaneously with the deposition of clastogenic pelitic material, biogenic and chemogenic materials are accumulated in sediments in large quantities. In winter, clastogenic and biogenic processes of sedimentation practically stop, only chemogenic sedimentation of carbonates is observed. It was established that the sedimentation of allochthonous material entering the reservoir occurs during two-three months, which indicates a certain inertness of sedimentation. The presence of a stable relationship between the mass and chemical composition of terrigenous material entering the lake with the regional temperature of the near-surface air, which is one of the main regulators of the water balance of the reservoir, is shown.

WOS
Держатели документа:
Russian Acad Sci, Siberian Branch, Sobolev Inst Geol & Mineral, 3 Academician Koptyug Ave, Novosibirsk 360090, Russia.
Inst Biophys SB RAS, 50 Akad Gorodok, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Babich, Valery V.; Darin, Andrey, V; Kalugin, Ivan A.; Markovich, Tatyana, I; Zykov, Viktor V.; Rogozin, Denis Yu; Ministry of Science and Higher Education of the Russian Federation; RFBRRussian Foundation for Basic Research (RFBR) [21-54-52001, 19-05-50046]

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Long-Term Dynamics of NDVI-Vegetation for Different Classes of Tundra Depending on the Temperature and Precipitation / A. G. Degermendzhi, G. S. Vysotskaya, L. A. Somova [et al.] // Dokl. Earth Sci. - 2020. - Vol. 493, Is. 2. - P658-660, DOI 10.1134/S1028334X20080048. - Cited References:10 . - ISSN 1028-334X. - ISSN 1531-8354

РУБ Geosciences, Multidisciplinary

Кл.слова (ненормированные):
tundra -- Holdridge -- vegetation -- biotemperature -- precipitation -- NDVI
Аннотация: The tundra was divided into different classes depending on the temperature and precipitation in accordance with the Holdridge classification. Dry, moist, wet, and rainy tundras were distinguished. Datasets on climate variability were obtained from the Climatic Research Unit website () for the period from 2001 to 2017. The long-term (2001-2016) dynamics of phytomass for different tundra classes was studied on the basis of the Normalized Differential Vegetation Index (NDVI). The positive long-term dynamics of NDVI-vegetation for the tundra classes studied was revealed. This trend correlates with the positive dynamics of the mean annual biotemperature. It was shown that the impact of global climate change on vegetation of different tundra classes is ambiguous. For the dry tundra, the increase in NDVI in May and June was higher than for the rainy tundra. This correlates with the fact that the increase in the mean monthly temperatures in May and June on the territory of the dry tundra is greater than on the territory of the rainy tundra.

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

Доп.точки доступа:
Degermendzhi, A. G.; Vysotskaya, G. S.; Somova, L. A.; Pisman, T. I.; Shevyrnogov, A. P.

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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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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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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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РУБ Ecology
Рубрики:
SALMON SALMO-SALAR
   SKULL MORPHOLOGY
   ARCTIC CHARR
   SEA
   L.
Кл.слова (ненормированные):
coregonid fish -- craniological features -- anadromous form -- lacustrine -- form -- plasticity -- allometry -- species status
Аннотация: The variability of craniological characters has been studied for anadromous and lacustrine forms of whitefish Coregonus lavaretus (Linnaeus, 1758) from waterbodies of the Karelian coast of the White Sea. The significant phenotypic plasticity of craniological characters of the whitefish depends on the environmental conditions. Moreover, there is a correlation between indexes of the craniological traits (except for the index of the snout length) and the body and/or head length (allometric effect). These results suggest that it is unreasonable to separate anadromous and lacustrine forms of C. lavaretus as distinct taxonomical units and argues for the invalidity of C. pidschian and C. oxyrinchus species.

WOS
Держатели документа:
Russian Acad Sci, Papanin Inst Biol Inland Waters, Borok 152742, Yaroslavl Oblas, Russia.
Russian Acad Sci, Inst Biophys, Siberian Branch, Akad Gorodok 50-50, Krasnoyarsk 660036, Russia.
Moscow MV Lomonosov State Univ, Fac Biol, Moscow 119234, Russia.

Доп.точки доступа:
Borovikova, E. A.; Kodukhova, J., V; Semenova, A., V; Russian Science FoundationRussian Science Foundation (RSF) [16-14-10001]

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Phenotypic Plasticity and Allometry of Craniological Characters of Anadromous and Lacustrine Forms of Whitefish Coregonus lavaretus (Linnaeus, 1758) as an Indication of the Wrong Species Status of Coregonus pidschian / E. A. Borovikova, J. V. Kodukhova, A. V. Semenova // Contemp. Probl. Ecol. - 2020. - Vol. 13, Is. 6. - P620-630, DOI 10.1134/S1995425520060049 . - ISSN 1995-4255
Кл.слова (ненормированные):
allometry -- anadromous form -- coregonid fish -- craniological features -- lacustrine form -- plasticity -- species status -- allometry -- cranium -- environmental conditions -- lacustrine environment -- phenotypic plasticity -- salmonid -- taxonomy -- Arctic Ocean -- White Sea -- Coregonus lavaretus -- Coregonus pidschian
Аннотация: Abstract—: The variability of craniological characters has been studied for anadromous and lacustrine forms of whitefish Coregonus lavaretus (Linnaeus, 1758) from waterbodies of the Karelian coast of the White Sea. The significant phenotypic plasticity of craniological characters of the whitefish depends on the environmental conditions. Moreover, there is a correlation between indexes of the craniological traits (except for the index of the snout length) and the body and/or head length (allometric effect). These results suggest that it is unreasonable to separate anadromous and lacustrine forms of C. lavaretus as distinct taxonomical units and argues for the invalidity of C. pidschian and C. oxyrinchus species. © 2020, Pleiades Publishing, Ltd.

Scopus
Держатели документа:
Papanin Institute for Biology of Inland Waters, Russian Academy of Sciences, Borok, Yaroslavl oblast 152742, Russian Federation
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Akademgorodok 50/50, Krasnoyarsk, 660036, Russian Federation
Faculty of Biology, Moscow State University, Moscow, 119234, Russian Federation

Доп.точки доступа:
Borovikova, E. A.; Kodukhova, J. V.; Semenova, A. V.

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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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10.

The Restoration Dynamics of Fallow Vegetation in the Steppe Zone of the Khakassia Republic Based on Terrain and Satellite Data / I. Y. Botvich, T. M. Zorkina // Biophysics. - 2019. - Vol. 64, Is. 2. - P309-315, DOI 10.1134/S0006350919020039 . - ISSN 0006-3509
Кл.слова (ненормированные):
fallow lands -- long-term variability (structure -- MODIS -- NDVI -- phytomass) -- projective cover -- restoration of natural vegetation -- satellite and terrain research methods
Аннотация: Abstract: The dynamics and specific features of the restoration of forbs–grass–wormwood and wormwood–grass phytocoenoses on fallow lands in the Altai region, the Republic of Khakassia, were determined on the basis of terrain and satellite data. The species composition, structure, and phytomass of the phytocoenoses were revealed. A gradual formation of structural elements of steppe communities in the studied areas was determined. This work showed the usefulness of time series of satellite data on the NDVI (Normalized Difference Vegetation Index) obtained with the use of MODIS (Moderate Resolution Imaging Spectroradiometer) for the study of specific features of restored fallows. In general the biological parameters, projective cover, and phytomass determine the value of the NDVI. Interannual NDVI variability reflects the rate and time period of fallow restoration. From a certain point, the parameters increased and became close to the steppe (control variant). It has been revealed that not only abiotic factors (climate and soils), but also biotic parameters (grazing and recreational load) affect the NDVI. In this connection, the duration of restoration stages does not always correspond to the published data. They vary under different conditions. Climatic data of the Abakan meteorological station (index 29862 in the network of the World Meteorological Organization) for the period from 2000 to 2017 were statistically treated. The long-term annual average norms of temperatures and precipitation amounts (year and month) for the World Meteorological Organization base period of 1961–1990 were calculated. The dynamics of the temperature and precipitation, using long-term series of data, has been analyzed. © 2019, Pleiades Publishing, Inc.

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Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Division of Federal Research Center Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russian Federation
Cherepnin Herbarium, Astaf’ev Krasnoyarsk State Pedagogical University, Krasnoyarsk, 660049, Russian Federation

Доп.точки доступа:
Botvich, I. Y.; Zorkina, T. M.

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11.

Seasonal variability of length-weight relationships of Arctic grayling (Thymallus arcticus) and Siberian dace (Leuciscus baicalensis) inhabiting the middle reaches of the Yenisei River, Siberia, Russia / I. V. Zuev, E. A. Trofimova, T. A. Zotina // Turk. J. Fish. Quat. Sci. - 2019. - Vol. 19, Is. 10. - P893-897, DOI 10.4194/1303-2712-v19_10_09. - Cited References:23. - The authors would like to thank Natalia Oskina, Nikolay Moshkin, and Tatiana Fetisova for their help with fish measurements. The work was partly supported by Russian Foundation for Basic Research, Grant No. 18-44-240003. . - ISSN 1303-2712. - ISSN 2149-181X

РУБ Fisheries + Marine & Freshwater Biology
Рубрики:
FISH
GROWTH
PALLAS
Кл.слова (ненормированные):
LWR -- Fish condition -- Baikal grayling -- Total length -- Total body weight
Аннотация: The present study proves the presence of seasonal variability of LWRs of Arctic grayling and Siberian dace inhabiting the middle reaches of the Yenisei River. LWRs were estimated using total length (cm) and total body weight (g). The literature data on LWRs of dace and grayling from different regions were compared using log a over b plot. The comparison revealed that seasonal variability of LWRs was wider than the geographic variability for these species. The position of points on the plot can be used to predict the season of sample collection and vice versa.

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Держатели документа:
Siberian Fed Univ, Inst Fundamental Biol & Biotechnol, Svobodny Av 79, Krasnoyarsk 660041, Russia.
RAS, SB, Fed Res Ctr, Krasnoyarsk Sci Ctr,Inst Biophys, Akademgorodok 50-50, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Zuev, Ivan V.; Trofimova, Elena A.; Zotina, Tatiana A.; Zuev, Ivan; Russian Foundation for Basic Research [18-44-240003]

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12.

Information technology of satellite data processing for global ocean surface gradient characteristics calculation / N. A. Ogorodov, A. V. Kartushinsky // CEUR Workshop Proceedings : CEUR-WS, 2019. - Vol. 2534: 2019 All-Russian Conference ""Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes"", SDM 2019 (26 August 2019 through 30 August 2019, ) Conference code: 156641. - P434-439
Кл.слова (ненормированные):
Format conversion -- Frontal zones -- Global data -- Gradientfields -- Mean seasonal variability -- Regional features -- Spatial averaging -- Computer software -- Monitoring -- Oceanography -- Satellites -- Format conversion -- Frontal zones -- Global data -- Gradientfields -- Regional feature -- Seasonal variability -- Spatial averaging -- Data handling
Аннотация: The structural components of information technology and software tools for calculating gradient characteristics of the global ocean surface based on satellite data are considered. The examples of calculation of the global ocean surface gradient fieldsusing information technology and software tools based on satellite data are submitted. A spatial-temporal averaging of gradients in accordance with scales of hydrophysical processes is discussed. The problems of spatial-temporal scaling and averaging of computed regions of the global ocean are considered. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

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

Доп.точки доступа:
Ogorodov, N. A.; Kartushinsky, A. V.

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13.

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.

Scopus,
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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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14.

Time-space earth surface gradients for satellite monitoring of ecosystems / A. V. Kartushinsky, N. A. Ogorodov, A. A. Larko // CEUR Workshop Proceedings : CEUR-WS, 2019. - Vol. 2534: 2019 All-Russian Conference ""Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes"", SDM 2019 (26 August 2019 through 30 August 2019, ) Conference code: 156641. - P366-370
Кл.слова (ненормированные):
Average seasonal variability -- Ecotone -- Frontal zones -- Gradient fields -- Regional features -- Satellite data -- Spatial averaging -- Synergistic effect -- Aquatic ecosystems -- Data handling -- Earth (planet) -- Satellites -- Ecotone -- Frontal zones -- Gradient fields -- Regional feature -- Satellite data -- Seasonal variability -- Spatial averaging -- Synergistic effect -- Monitoring
Аннотация: The results of Earth surface gradients characteristics calculate based on satellite data are presents. Dynamics structural features of horizontal gradient fields in aquatic objects and land ecosystems by physical, biological parameters are considered. Problems of the parametrization for environment exchanges evaluations with using numerical modeling based on satellite data and software tools are submitted. Spatial-temporal scaling and averaging of gradient components are discussed. Develop improved estimates of Earth surface gradients fields in the different ecosystems is considered. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

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

Доп.точки доступа:
Kartushinsky, A. V.; Ogorodov, N. A.; Larko, A. A.

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15.

    Possibilities of experimental field soil cover recognition using ground and satellite data / A. P. Shevyrnogov, I. Y. Botvich, D. V. Emelyanov [и др.] // Sovrem. Probl. Distancionnogo Zondirovania Zemli kosm. - 2019. - Vol. 16, Is. 4. - С. 150-160, DOI 10.21046/2070-7401-2019-16-4-150-160 . - ISSN 2070-7401
   Перевод заглавия: Возможность распознавания почвенного покрова опытного поля с использованием наземных и спутниковых данных
Кл.слова (ненормированные):
Agricultural land -- Satellite and terrestrial research methods -- Sentinel-2 -- Soil
Аннотация: The paper presents the results of a study showing the possibility of recognition of soil cover with different types of soil and soil cultivation techniques by remote sensing methods. Satellite (Sentinel-2) and terrestrial (SpectralEvolutionPSR-1100F) optical data of various spatial and spectral resolution were used. The data with a high heterogeneity of experimental plots were obtained in the Minderlinskoe experimental farm, Sukhobuzimsky district of the Krasnoyarsk Kray. It is established that measurements of spectral brightness coefficient (SBC) with high spectral resolution can be used to evaluate soil cultivation techniques and, in some cases, to identify soil types. The presence of stubble on soil surface has a significant impact on the process of soil types identification. The biggest difference in soil species diversity can be established in the absence of stubble. Using remote sensing for determination of the “hydrometamorphized clay-illuvial agricultural chernozem” soil type with “plowing” processing is demonstrated. It is shown that data from channels 2, 3, 4, and 8 of Sentinel-2 and their spatial variability can be directly used to assess the types of soil treatment and agrophysical characteristics at the initial stage of the vegetation period (open surface). © 2019 Space Research Institute of the Russian Academy of Sciences. All rights reserved.

Scopus
Держатели документа:
Institute of Biophysics SB RAS, Krasnoyarsk, 660036, Russian Federation
Krasnoyarsk State Agrarian University, Krasnoyarsk, 660049, Russian Federation

Доп.точки доступа:
Shevyrnogov, A. P.; Botvich, I. Y.; Emelyanov, D. V.; Larko, A. A.; Vysotskaya, G. S.; Ivchenko, V. K.; Demyanenko, T. N.

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16.

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.

WOS
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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17.

Intraspecies variability of fatty acid content and composition of a cosmopolitan benthic invertebrate, Gammarus lacustris / O. N. Makhutova [et al.] // Inland Waters. - 2018. - Vol. 8, Is. 3. - P356-367, DOI 10.1080/20442041.2018.1487157 . - ISSN 2044-2041
Кл.слова (ненормированные):
essential polyunsaturated fatty acids -- fish -- food quality -- salinity -- temperature
Аннотация: Aquatic invertebrates are valuable dietary sources of essential polyunsaturated fatty acids, eicosapentaenoic acid (EPA, 20:5n-3) and docosahexaenoic acid (DHA, 22:6n-3), for fish. Phylogeny, diet, and various ecological factors affect the fatty acid composition of aquatic invertebrates. We focused our study on the effect of ecological factors to a cosmopolitan species inhabiting lakes that differed in salinity, temperature, and presence/absence of predators (fish). To avoid the effect of phylogeny, which strongly influences the fatty acid composition of animals, we studied several populations of one cosmopolitan benthic species, Gammarus lacustris Sars. We found that differences in fatty acid percentages of G. lacustris were mainly affected by differences in their diets. Some populations preferred dinoflagellates, cryptophytes, green algae/cyanobacteria, and bacteria; other populations selected diatoms; and still other populations consumed zooplankton or allochthonous (terrestrial) organic matter. The salinity and presence/absence of fish affected the contents of EPA and DHA in G. lacustris. Populations from saline and fishless lakes had significantly higher contents of EPA and DHA. Thus, stocking of fishless lakes dominated by G. lacustris with fish could lead to a decrease in EPA and DHA contents in the gammarids. We propose that some saline and fishless lakes could be used as a source of gammarids for aquaculture fish feeding. © 2018, © 2018 International Society of Limnology (SIL).

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Держатели документа:
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, Krasnoyarsk, Russian Federation
Tyumen Scientific Centre Siberian Branch, Russian Academy of Sciences, Institute of the problems of Northern development, Tyumen, Russian Federation

Доп.точки доступа:
Makhutova, O. N.; Shulepina, S. P.; Sharapova, T. A.; Kolmakova, A. A.; Glushchenko, L. A.; Kravchuk, E. S.; Gladyshev, M. I.

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18.

    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.

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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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19.

Fatty acid composition and content in chironomid species at various life stages dominating in a saline Siberian lake / O. N. Makhutova [et al.] // Contemp. Probl. Ecol. - 2017. - Vol. 10, Is. 3. - P230-239, DOI 10.1134/S1995425517030064 . - ISSN 1995-4255
Кл.слова (ненормированные):
amphibiotic insect emergence -- Chironomidae -- fatty acids -- life stages -- saline lake -- Chironomidae -- Glyptotendipes barbipes -- Hexapoda
Аннотация: This paper studies the fatty acid (FA) composition and content of essential polyunsaturated fatty acids (PUFAs) in the biomass of larvae and adults of chironomids from the saline Shira Lake. Species of different genera significantly differ in their larvae FA composition and essential PUFA content, and they also occupy different ecological niches: Chironomus species with a low PUFA content (0.2–0.3 mg g–1 of wet weight) inhabit a deepwater zone of the lake, while Glyptotendipes barbipes species that were richer in PUFA (2.3 mg g–1 of wet weight) dwell in the littoral of the lake. The biochemical differences are likely related to different feeding spectra of these taxa and can also be explained by the phylogenetic factor. A comparison does not find differences in the PUFA content in larvae and adults in the samples of the same species G. barbipes; i.e., we do not confirm the data on an increase in the content of these acids during the metamorphosis of chironomids. Thus, the data on the PUFA content in larvae can be used in calculations of PUFA fluxes through chironomid emergence from water bodies; however, the taxonomic affiliation of the emerged chironomids should be taken into consideration due to the high variability in the PUFA content in Chironomidae species. © 2017, Pleiades Publishing, Ltd.

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

Доп.точки доступа:
Makhutova, O. N.; Borisova, E. V.; Shulepina, S. P.; Kolmakova, A. A.; Sushchik, N. N.

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20.

Variability of fluorescence spectra of coelenteramide-containing proteins as a basis for toxicity monitoring / R. R. Alieva, N. S. Kudryasheva // Talanta. - 2017. - Vol. 170. - P425-431, DOI 10.1016/j.talanta.2017.04.043 . - ISSN 0039-9140
Кл.слова (ненормированные):
Coelenteramide-containing fluorescent protein -- Multicolor fluorescent bioassay -- Obelin -- Primary photochemical process -- Protein destruction -- Proton transfer -- Bioassay -- Biomarkers -- Excited states -- Fluorescence -- Fluorophores -- Ionizing radiation -- Proton transfer -- Toxicity -- Electron-excited state -- Fluorescence spectra -- Fluorescent protein -- Green fluorescent protein -- Obelin -- Photochemical process -- Photochemical properties -- Physicochemical process -- Proteins
Аннотация: Nowadays, physicochemical approach to understanding toxic effects remains underdeveloped. A proper development of such mode would be concerned with simplest bioassay systems. Coelenteramide-Containing Fluorescent Proteins (CLM-CFPs) can serve as proper tools for study primary physicochemical processes in organisms under external exposures. CLM-CFPs are products of bioluminescent reactions of marine coelenterates. As opposed to Green Fluorescent Proteins, the CLM-CFPs are not widely applied in biomedical research, and their potential as colored biomarkers is undervalued now. Coelenteramide, fluorophore of CLM-CFPs, is a photochemically active molecule; it acts as a proton donor in its electron-excited states, generating several forms of different fluorescent state energy and, hence, different fluorescence color, from violet to green. Contributions of the forms to the visible fluorescence depend on the coelenteramide microenvironment in proteins. Hence, CLM-CFPs can serve as fluorescence biomarkers with color differentiation to monitor results of destructive biomolecule exposures. The paper reviews experimental and theoretical studies of spectral-luminescent and photochemical properties of CLM-CFPs, as well as their variation under different exposures – chemicals, temperature, and ionizing radiation. Application of CLM-CFPs as toxicity bioassays of a new type is justified. © 2017

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

Доп.точки доступа:
Alieva, R. R.; Kudryasheva, N. S.

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