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1.


   
    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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2.


   
    Allochthonous and Autochthonous Food Sources for Zoobenthos in a Forest Stream / V. V. Bogatov, N. N. Sushchik, O. N. Makhutova [et al.] // Russ. J. Ecol. - 2021. - Vol. 52, Is. 3. - P253-256, DOI 10.1134/S1067413621030048 . - ISSN 1067-4136
Кл.слова (ненормированные):
carbon -- feeding -- forest stream -- gammarids -- leaf litter -- pediciid larvae (Pediciidat) -- periphyton -- polyunsaturated fatty acids -- allochthon -- food availability -- freshwater environment -- stream -- zoobenthos

Scopus
Держатели документа:
Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch, Russian Academy of Sciences, Vladivostok, 690022, Russian Federation
Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
Bogatov, V. V.; Sushchik, N. N.; Makhutova, O. N.; Kolmakova, A. A.; Gladyshev, M. I.

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3.


   
    Analysis of diatom algae from the water column and bottom sediments of Shira Lake (Khakassia, Russia) [Text] / G. N. Bolobanschikova [et al.] // Contemp. Probl. Ecol. - 2015. - Vol. 8, Is. 2. - P173-185, DOI 10.1134/S1995425515020031. - Cited References:21. - This work was supported by Russian Foundation for Basic Research, project no. 13-05-00429-a and the Biodiversity Program for Basic Research, Russian Academy of Sciences, project no. 30.8. . - ISSN 1995-4255. - ISSN 1995-4263
РУБ Ecology

Кл.слова (ненормированные):
paleolimnology -- diatom algae -- meromictic lake -- sedimentation -- Cyclotella -- choctawhatcheeana -- Aulacoseira valida -- Aulacoseira ambigua
Аннотация: Lake Shira as a meromictic lake is object of interest for paleolimnological studies. In May 2011 core samples were collected from the bottom of Lake Shira and the species composition of diatom algae, which serve as bioindicators of the state of the lake, were studied. In addition, in 2012, seasonal water samples and material from sediment traps were collected and the species composition of diatoms in them was analyzed. The results of the analysis showed that the lake, like in previous years of research, was dominated by Cyclotella choctawhatcheeana Prasad. Diatoms were found twice in the studied core above the white carbonate layers and were absent in other layers. The species living in the lake at present were observed down to the first white carbonate layer, including the predominant Cyclotella choctawhatcheeana. This fact presumably proves the consistency of the species composition of diatoms and the overall stable condition of the lake since 1946 (Rogozin et al., 2005). Down to the second white carbonate layer, the dominant species were Aulcosira valida (Grunow) Krammer and Aulcosira italica (Grunow) Simonsen. Nitzchia sigmodea (Nitzsch) W. Smith and Fragilaria construens var. venter (Ehrenberg) Grunow were also observed at these depths, dating approximately to 1655-1690. These are freshwater species that belong to the diatoms of arctic, alpine, and temperate latitudes, which develop in shallow waters under moderate temperature conditions. This fact suggests that Lake Shira was less salty in the middle and end of the 17th century than today.

WOS
Держатели документа:
Russian Acad Sci, Inst Biophys, Siberian Branch, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Russian Acad Sci, Limnol Inst, Siberian Branch, Irkutsk 664033, Russia.
Krasnoyarsk State Med Univ, Krasnoyarsk 660022, Russia.
Russian Acad Sci, Inst Phys, Siberian Branch, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Bolobanschikova, G. N.; Rogozin, D. Yu.; Firsova, A. D.; Rodionova, E. V.; Degermendzhy, N. N.; Shabanov, A. V.; Russian Foundation for Basic Research [13-05-00429-a]; Biodiversity Program for Basic Research, Russian Academy of Sciences [30.8]

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4.


   
    Bacterial Communities of Three Saline Meromictic Lakes in Central Asia [Text] / B. Baatar [et al.] // PLoS One. - 2016. - Vol. 11, Is. 3. - Ст. e0150847, DOI 10.1371/journal.pone.0150847. - Cited References:65. - This study was supported by the thematic project funding of Taiwan-Russian Joint Project (NSC99- 2923-B-001-001-MY3 and NSC 102-2923-B-001-004) and Taiwan-Mongolian Joint Project (NSC101-2923-B-001-003-MY3) from the National Sciences Council of Taiwan and Biodiversity Research Center, Academia Sinica, Taiwan and the Russian Foundation for Basic Research, Grant No. 14-04-01060-a.; We thank our Russian and Mongolian colleagues in the Institute of Biophysics SB RAS and National University of Mongolia for assistance with providing samples and hydro-parameter data. This study was supported by the thematic project funding of Taiwan-Russian Joint Project (NSC99-2923-B-001-001-MY3 and NSC 102-2923-B-001-004) and Taiwan-Mongolian Joint Project (NSC101-2923-B-001-003-MY3) from the National Sciences Council of Taiwan and Biodiversity Research Center, Academia Sinica, Taiwan and the Russian Foundation for Basic Research, Grant No. 14-04-01060-a. . - ISSN 1932-6203
РУБ Multidisciplinary Sciences
Рубрики:
PURPLE SULFUR BACTERIA
   REAL-TIME PCR

   MICROBIAL COMMUNITIES

Аннотация: Meromictic lakes located in landlocked steppes of central Asia (similar to 2500 km inland) have unique geophysiochemical characteristics compared to other meromictic lakes. To characterize their bacteria and elucidate relationships between those bacteria and surrounding environments, water samples were collected from three saline meromictic lakes (Lakes Shira, Shunet and Oigon) in the border between Siberia and the West Mongolia, near the center of Asia. Based on in-depth tag pyrosequencing, bacterial communities were highly variable and dissimilar among lakes and between oxic and anoxic layers within individual lakes. Proteobacteria, Bacteroidetes, Cyanobacteria, Actinobacteria and Firmicutes were the most abundant phyla, whereas three genera of purple sulfur bacteria (a novel genus, Thiocapsa and Halochromatium) were predominant bacterial components in the anoxic layer of Lake Shira (similar to 20.6% of relative abundance), Lake Shunet (similar to 27.1%) and Lake Oigon (similar to 9.25%), respectively. However, few known green sulfur bacteria were detected. Notably, 3.94% of all sequencing reads were classified into 19 candidate divisions, which was especially high (23.12%) in the anoxic layer of Lake Shunet. Furthermore, several hydro-parameters (temperature, pH, dissolved oxygen, H2S and salinity) were associated (P0.05) with variations in dominant bacterial groups. In conclusion, based on highly variable bacterial composition in water layers or lakes, we inferred that the meromictic ecosystem was characterized by high diversity and heterogenous niches.

WOS,
Scopus
Держатели документа:
Acad Sinica, Taiwan Int Grad Program, Mol & Biol Agr Sci Program, Taipei 115, Taiwan.
Acad Sinica, Biodivers Res Ctr, Taipei 115, Taiwan.
Natl Chung Hsing Univ, Grad Inst Biotechnol, Taichung 40227, Taiwan.
SB RAS, Inst Biophys, Krasnoyarsk 660036, Russia.
Natl Pingtung Univ Sci & Technol, Pingtung 91201, Taiwan.
Natl Univ Mongolia, Sch Art & Sci, Ulaanbaatar 14201, Mongol Peo Rep.
Natl Chung Hsing Univ, Ctr Biotechnol, Taichung 40227, Taiwan.

Доп.точки доступа:
Baatar, Bayanmunkh; Chiang, Pei-Wen; Rogozin, Denis Yu; Wu, Yu-Ting; Tseng, Ching-Hung; Yang, Cheng-Yu; Chiu, Hsiu-Hui; Oyuntsetseg, Bolormaa; Degermendzhy, Andrey G.; Tang, Sen-Lin; National Sciences Council of Taiwan [NSC99- 2923-B-001-001-MY3, NSC 102-2923-B-001-004, NSC101-2923-B-001-003-MY3, NSC99-2923-B-001-001-MY3]; Biodiversity Research Center, Academia Sinica, Taiwan; Russian Foundation for Basic Research [14-04-01060-a]

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5.


   
    Biogeographic patterns of planktonic and meiobenthic fauna diversity in inland waters of the Russian Arctic / E. Fefilova, O. Dubovskaya, L. Frolova [et al.] // Freshw. Biol. - 2020, DOI 10.1111/fwb.13624. - Cited References:63. - We would like to thank A. Kotov, N. Korovchinsky, A. Sinev, E. Bekker, N. Smirnov (all from Severtsov Institute of Ecology and Evolution of RAS) for their assistance in Cladocera identification. We are very grateful to Jennifer Lento (University of New Brunswick, Canada) for helping us obtain elevation, temperature, and precipitation data from World Climate and ArcticDEM (NGA-NSF). We are also grateful to Willem Goedkoop for helpful comments on an earlier version of the manuscript. The study was performed in part as Federal Tasks of Department of Animals Ecology of the Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences (AAAA-A17-117112850235-2), and also of Institute of Biophysics of Federal Research Center "Krasnoyarsk Science Center" of Siberian Branch of Russian Academy of Sciences (project No. 51.1.1) and the Siberian Federal University (project No. FSRZ-2020-0006). Monitoring investigations in the Lena River Delta were conducted under the framework of Russian-German, "Lena" expeditions (Alfred Wegener Institute, Potsdam, Germany) with logistic and technical support of Scientific Research Station "Samoylov Island" (Trofimuk Institute of Petroleum-Gas, Geology and Geophysics SB RAS, Novosibirsk). We are grateful to three anonymous reviewers, Guest Editor, Dr Joseph Culp, and the Chief Editor, Prof. Belinda Robson for their useful comments to improve the manuscript. . - Article in press. - ISSN 0046-5070. - ISSN 1365-2427
РУБ Ecology + Marine & Freshwater Biology
Рубрики:
GLOBAL DIVERSITY
   CRUSTACEAN ZOOPLANKTON

   CLADOCERA

   ANOMOPODA

Кл.слова (ненормированные):
cladocerans -- copepods -- rotifers -- spatial and temporal trends -- species -- richness
Аннотация: Broad-scale assessment of biodiversity is needed for detection of future changes across substantial regions of the Arctic. Presently, there are large data and information gaps in species composition and richness of the freshwater planktonic and meiobenthos communities of the Russian Arctic. Analysis of these data is very important for identifying the spatial distribution and temporal changes in species richness and diversity of rotifers, cladocerans, and copepods in the continental Russian Arctic. We investigated biogeographic patterns of freshwater plankton and meiobenthos fromc. 67 degrees to 73 degrees N by analysing data over the period 1960-2017. These data include information on the composition of rotifers, cladocerans, and copepods obtained from planktonic and meiobenthic samples, as well as from subfossil remains in bottom sediments of seven regions from the Kola Peninsula in the west, to the Indigirka River Basin (east Siberia) in the east. Total richness included 175 species comprised of 49 rotifer genera, 81 species from 40 cladoceran genera, and 101 species from 42 genera of calanoid, cyclopoid, and harpacticoid copepods. Longitudinal trends in rotifer and micro-crustacean diversity were revealed by change in species composition from Europe to eastern Siberia. The most common and widespread species were 19 ubiquitous taxa that includedKellicottia longispina(Rotifera),Chydorus sphaericuss. lat. (Cladocera),Heterocope borealis,Acanthocyclops vernalis, andMoraria duthiei(Copepoda). The highest number of rare species was recorded in the well-studied region of the Bolshezemelskaya tundra and in the Putorana Plateau. The total number of copepod and rotifer species in both Arctic lakes and ponds tended to increase with latitude. Relative species richness of copepods was positively associated with waterbody area, elevation, and precipitation, while relative species richness of cladocerans was positively related to temperature. This result is consistent with known thermophilic characteristics of cladocerans and the cold tolerance properties of copepods, with the former being dominant in shallow, warmer waterbodies of some western regions, and the latter being dominant in large cold lakes and waterbodies of eastern regions. Rotifers showed a negative association with these factors. Alpha- and beta-diversity of zooplankton in the Russian Arctic were strongly related to waterbody type. Lake zooplankton communities were more diverse than those in pond and pool systems. Moreover, the highest beta-diversity values were observed in regions that showed a greater breadth in latitude and highly heterogeneous environmental conditions and waterbody types (Bolshezemelskaya tundra and Putorana Plateau). Redistribution of freshwater micro-fauna caused by human activities occurred in the 1990s and 2000s. As a result of climate warming, a few cladoceran species appear to have extended their range northward. Nevertheless, the rotifer and micro-crustacean fauna composition and diversity of the majority of Arctic regions generally remain temporally conservative, and spatial differences in composition and species richness are chiefly associated with the differences between the warmer European and colder east Siberian climates.

WOS
Держатели документа:
Russian Acad Sci, Inst Biol, Komi Sci Ctr, Ural Branch, Kommunisticheskaya 28, Syktyvkar 167982, Russia.
Russian Acad Sci, Inst Biophys, Fed Res Ctr, Krasnoyarsk Sci Ctr,Siberian Branch, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Kazan Fed Univ, Inst Geol & Petr Technol, Kazan, Russia.
Lena Delta Nat Reserve, Tiksi, Sakha Republic, Russia.
Univ Helsinki, Finnish Nat Hist Museum LUOMUS, Helsinki, Finland.

Доп.точки доступа:
Fefilova, Elena; Dubovskaya, Olga; Frolova, Larisa; Abramova, Ekaterina; Kononova, Olga; Nigamatzyanova, Gulnara; Zuev, Ivan; Kochanova, Elena; Federal Tasks of Department of Animals Ecology of the Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences [AAAA-A17-117112850235-2]; Institute of Biophysics of Federal Research Center "Krasnoyarsk Science Center" of Siberian Branch of Russian Academy of Sciences [51.1.1]; Siberian Federal University [FSRZ-2020-0006]

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6.


   
    Biogeographic patterns of planktonic and meiobenthic fauna diversity in inland waters of the Russian Arctic / E. Fefilova, O. Dubovskaya, L. Frolova [et al.] // Freshw. Biol. - 2020, DOI 10.1111/fwb.13624 . - Article in press. - ISSN 0046-5070
Кл.слова (ненормированные):
cladocerans -- copepods -- rotifers -- spatial and temporal trends -- species richness
Аннотация: Broad-scale assessment of biodiversity is needed for detection of future changes across substantial regions of the Arctic. Presently, there are large data and information gaps in species composition and richness of the freshwater planktonic and meiobenthos communities of the Russian Arctic. Analysis of these data is very important for identifying the spatial distribution and temporal changes in species richness and diversity of rotifers, cladocerans, and copepods in the continental Russian Arctic. We investigated biogeographic patterns of freshwater plankton and meiobenthos from c. 67° to 73°N by analysing data over the period 1960–2017. These data include information on the composition of rotifers, cladocerans, and copepods obtained from planktonic and meiobenthic samples, as well as from subfossil remains in bottom sediments of seven regions from the Kola Peninsula in the west, to the Indigirka River Basin (east Siberia) in the east. Total richness included 175 species comprised of 49 rotifer genera, 81 species from 40 cladoceran genera, and 101 species from 42 genera of calanoid, cyclopoid, and harpacticoid copepods. Longitudinal trends in rotifer and micro-crustacean diversity were revealed by change in species composition from Europe to eastern Siberia. The most common and widespread species were 19 ubiquitous taxa that included Kellicottia longispina (Rotifera), Chydorus sphaericus s. lat. (Cladocera), Heterocope borealis, Acanthocyclops vernalis, and Moraria duthiei (Copepoda). The highest number of rare species was recorded in the well-studied region of the Bolshezemelskaya tundra and in the Putorana Plateau. The total number of copepod and rotifer species in both Arctic lakes and ponds tended to increase with latitude. Relative species richness of copepods was positively associated with waterbody area, elevation, and precipitation, while relative species richness of cladocerans was positively related to temperature. This result is consistent with known thermophilic characteristics of cladocerans and the cold tolerance properties of copepods, with the former being dominant in shallow, warmer waterbodies of some western regions, and the latter being dominant in large cold lakes and waterbodies of eastern regions. Rotifers showed a negative association with these factors. Alpha- and ?-diversity of zooplankton in the Russian Arctic were strongly related to waterbody type. Lake zooplankton communities were more diverse than those in pond and pool systems. Moreover, the highest ?-diversity values were observed in regions that showed a greater breadth in latitude and highly heterogeneous environmental conditions and waterbody types (Bolshezemelskaya tundra and Putorana Plateau). Redistribution of freshwater micro-fauna caused by human activities occurred in the 1990s and 2000s. As a result of climate warming, a few cladoceran species appear to have extended their range northward. Nevertheless, the rotifer and micro-crustacean fauna composition and diversity of the majority of Arctic regions generally remain temporally conservative, and spatial differences in composition and species richness are chiefly associated with the differences between the warmer European and colder east Siberian climates. © 2020 John Wiley & Sons Ltd.

Scopus
Держатели документа:
Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences, Syktyvkar, Russian Federation
Institute of Biophysics of Federal Research Center “Krasnoyarsk Science Center” of Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Institute of Geology and Petroleum Technologies, Kazan Federal University, Kazan, Russian Federation
Lena Delta Nature Reserve, Tiksi, Sakha Republic, Russian Federation
Finnish Natural History Museum LUOMUS University of Helsinki, Helsinki, Finland

Доп.точки доступа:
Fefilova, E.; Dubovskaya, O.; Frolova, L.; Abramova, E.; Kononova, O.; Nigamatzyanova, G.; Zuev, I.; Kochanova, E.

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7.


   
    Biotic fluxes of matter and energy between aquatic and terrestrial ecosystems / Y. Y. Dgebuadze, M. I. Gladyshev // Contemp. Probl. Ecol. - 2016. - Vol. 9, Is. 4. - P391-395, DOI 10.1134/S1995425516040041 . - ISSN 1995-4255
Кл.слова (ненормированные):
amphibionts -- biodiversity -- biological invasions -- ecotone -- fluxes of matter and energy -- water–land interface -- Animalia
Аннотация: This paper is an introduction to a special issue of the journal. A brief historical delineation of the question of studying interfaces between adjacent ecosystems (ecotones) is presented. High biodiversity of ecotones and their vulnerability to natural and anthropogenic impacts, including invasions of alien species, are noted. It is supposed that there is no contradiction between the ecotone and river continuum concepts. The important ecological role of amphibiotic animals and plants in interactions and functioning of the adjacent ecosystems is emphasized. The issue of studying the quantitative parameters of fluxes of matter and energy between ecosystems in conjunction with their qualitative parameters (chemical elemental and biochemical compositions) is considered in the present paper. © 2016, Pleiades Publishing, Ltd.

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Держатели документа:
Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, pr. Leninsky 33, Moscow, Russian Federation
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Akademgorodok 50/50, Krasnoyarsk, Russian Federation
Siberian Federal University Krasnoyarsk, pr. Svobodnyi 79, Moscow, Russian Federation

Доп.точки доступа:
Dgebuadze, Y. Y.; Gladyshev, M. I.

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8.


   
    Challenges and opportunities for integrating lake ecosystem modelling approaches / W. M. Mooij [et al.] // Aquatic Ecology. - 2010. - Vol. 44, Is. 3. - P633-667, DOI 10.1007/s10452-010-9339-3 . - ISSN 1386-2588
Кл.слова (ненормированные):
Adaptive processes -- Analysis -- Aquatic -- Bifurcation -- Biodiversity -- Climate warming -- Community -- Eutrophication -- Fisheries -- Food web dynamics -- Freshwater -- Global change -- Hydrology -- Lake -- Management -- Marine -- Mitigation -- Model integration -- Model limitations -- Non-linear dynamics -- Nutrients -- Plankton -- Population -- Prediction -- Spatial -- Understanding -- adaptive management -- algorithm -- aquatic community -- biodiversity -- ecosystem modeling -- eutrophication -- fishery production -- food web -- fuzzy mathematics -- global warming -- hydrology -- lake ecosystem -- mitigation -- model test -- numerical model -- nutrient availability -- plankton -- prediction -- saline lake -- spatial analysis
Аннотация: A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: super-individual models (Piscator, Charisma), physiologically structured models, stage-structured models and trait-based models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models. В© 2010 The Author(s).

Scopus
Держатели документа:
Netherlands Institute of Ecology (NIOO-KNAW), Department of Aquatic Ecology, Rijksstraatweg 6, 3631 AC Nieuwersluis, Netherlands
Aarhus University, National Environmental Research Institute, Department of Freshwater Ecology, 8600 Silkeborg, Denmark
Greenland Climate Research Centre (GCRC), Greenland Institute of Natural Resources, Kivioq 2, P.O. Box 570, 3900 Nuuk, Greenland
University of Toronto, Department of Physical and Environmental Sciences, Toronto, ON M1C 1A4, Canada
Institute of Computational Modelling (SB-RAS), Siberian Federal University, 660036 Krasnoyarsk, Russian Federation
Tanzania Fisheries Research Institute (TAFIRI), Mwanza Centre, P.O. Box 475, Mwanza, Tanzania
Institute of Biophysics (SB-RAS), Akademgorodok, 660036 Krasnoyarsk, Russian Federation
University of Miami, Florida Integrated Science Centre, USGS, Coral Gables, FL 33124, United States
Wageningen University, Department of Aquatic Ecology and Water Quality, P.O. Box 47, 6700 AA Wageningen, Netherlands
Centre for Ecology and Hydrology, Lancaster Environment Centre, Lake Ecosystem Group, Algal Modelling Unit, Bailrigg, Lancaster LA1 4AP England, United Kingdom
Federal University of Alagoas, Centre for Technology, Campus A.C. Simoes, 57072-970 Maceio-AL, Brazil
Institute of Biochemistry and Biology, Department of Ecology and Ecosystem Modelling, University of Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany
Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment, P.O. Box 7050, 75007 Uppsala, Sweden
University of Waikato, Centre for Biodiversity and Ecology Research, Private Bag 3105, Hamilton, New Zealand
University of Western Australia, School of Earth and Environment, Crawley, WA 6009, Australia
Technische Universitat Dresden, Institute of Hydrobiology, 01062 Dresden, Germany
Technische Universitat Dresden, Neunzehnhain Ecological Station, Neunzehnhainer Str. 14, 09514 Lengefeld, Germany
Deltares, P.O. Box 177, 2600 MH Delft, Netherlands
Technion-Israel Institute of Technology, Faculty of Civil and Environmental Engineering, Technicon City, Haifa 32000, Israel
Helmholtz Centre for Environmental Research, Department of Lake Research, Brueckstrasse 3a, 39114 Magdeburg, Germany
Witteveen and Bos, P.O. Box 233, 7400 AV Deventer, Netherlands
University of Oslo, Department of Biology, P.O. Box 1066, Blindern, 0316 Oslo, Norway
UNESCO-IHE Institute of Water Education, 2601 DA Delft, Netherlands
Portland State University, Department of Civil and Environmental Engineering, Portland, OR 97207, United States
Netherlands Environmental Assessment Agency (PBL), P.O. Box 303, 3720 AH Bilthoven, Netherlands : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Mooij, W.M.; Trolle, D.; Jeppesen, E.; Arhonditsis, G.; Belolipetsky, P.V.; Chitamwebwa, D.B.R.; Degermendzhy, A.G.; DeAngelis, D.L.; De Senerpont Domis, L.N.; Downing, A.S.; Elliott, J.A.; Fragoso Jr., C.R.; Gaedke, U.; Genova, S.N.; Gulati, R.D.; Hakanson, L.; Hamilton, D.P.; Hipsey, M.R.; 't Hoen, J.; Hulsmann, S.; Los, F.H.; Makler-Pick, V.; Petzoldt, T.; Prokopkin, I.G.; Rinke, K.; Schep, S.A.; Tominaga, K.; van Dam, A.A.; van Nes, E.H.; Wells, S.A.; Janse, J.H.

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9.


   
    Competition between links in "producers-consumer" trophic chains in an aquatic closed system with spatially separated components / T. I. Pisman, N. S. Pechurkin, L. A. Somova // Advances in Space Research. - 2001. - Vol. 27, Is. 9. - P1599-1603, DOI 10.1016/S0273-1177(01)00255-1 . - ISSN 0273-1177
Кл.слова (ненормированные):
Algae -- Aquifers -- Biodiversity -- Metabolism -- Nitrogen -- Protozoa -- Aquatic closed systems -- Spatially separated components -- Space research -- aquatic ecosystem -- competition -- grazing -- primary production -- fresh water -- nitrogen -- animal -- article -- Chlorella -- food chain -- green alga -- metabolism -- microclimate -- Paramecium -- Rotifera -- Algae, Green -- Animals -- Chlorella -- Ecological Systems, Closed -- Food Chain -- Fresh Water -- Nitrogen -- Paramecium -- Rotifera
Аннотация: The work analyzes functioning of a "producer-consumer" closed aquatic system with spatially separated links, where each component consisted of two species. Producers in the system were the microalgae of Chlorella vulgaris and Scenedesmus sp., consumers - Paramecium caudatum infusoria and Brachionus sp. rotifers. In the experiment the competing predators were consuming on a mixed culture of algae, and the competition of algae was studied under nitrogen limitation. Under these conditions competitiveness of Scenedemus was higher than that of Chlorella vulgaris. Metabolism products of Scenedesmus algae have been found to have negative effect on reproduction of Paramecium caudatum protozoa. Predator population dynamics in the "consumer" link demonstrated that the rotifers that consume two algal species are more competitive compared to protozoa feeding on chlorella only. В© 2001 COSPAR. Published by Elsevier Science Ltd. All rights reserved.

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

Доп.точки доступа:
Pisman, T.I.; Pechurkin, N.S.; Somova, L.A.

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10.


   
    Data on taxa composition of freshwater zooplankton and meiobenthos across Arctic regions of Russia / E. Fefilova, O. Dubovskaya, O. Kononova [et al.] // Data Brief. - 2021. - Vol. 36. - Ст. 107112, DOI 10.1016/j.dib.2021.107112. - Cited References:17. - The work was performed in part as Federal Tasks to the Department of Animal Ecology of the Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences (AAAA-A17-117112850235-2) (to EF and OK), to the Institute of Biophysics of the Federal Research Center "Krasnoyarsk Science Center" of the Siberian Branch of the Russian Academy of Sciences (project No. 51.1.1) and the Siberian Federal University (project No. FSRZ-2020-0006) (to OD). The paleolimnological part of this work was supported by grant from Russian Science Foundation (project 20-17-00135). L. Frolova and G. Nigamatzyanova were supported by the subsidy allocated to Kazan Federal University for the state assignment #671-2020-0049 in the sphere of scientific activities and by the Russian Foundation for Basic Research (grant 18-05-00406). The work was partly financially supported by the Russian Foundation for Basic Research (RFBR) grant: 20-04-00145_a (to EF). Monitoring investigations in the Lena River Delta were conducted under the framework of Russian-German, "Lena" expeditions (Alfred Wegener Institute, Potsdam, Germany) with logistic and technical support of Scientific Research Station "Samoylov Island" (the Trofimuk Institute of Petroleum-Gas, Geology and Geophysics SB RAS, Novosibirsk) (to EA). . - ISSN 2352-3409
РУБ Multidisciplinary Sciences
Рубрики:
CRUSTACEA
   RECORDS

   LAKES

Кл.слова (ненормированные):
Arctic -- Fresh waters -- Rotifers -- Cladocerans -- Copepods -- Zooplankton -- Meiobenthos -- Species list
Аннотация: We present the presence/absence species list (Table 1) of rotifer, cladoceran, and copepod (Calanoida, Harpacticoida, and Cyclopoida) fauna from seven Arctic regions of Russia (the Kola Peninsula, the Pechora River Delta, the Bolshezemelskaya tundra, the Polar Ural, the Putorana Plateau, the Lena River Delta, and the Indigirka River Basin) based on our own and literature data. Our own records were obtained by analyzing samples of zooplankton, meiobenthos, and two cores of bottom sediments (from the Kola Peninsula and the Bolshezemelskaya tundra lakes) that we collected once in July or August in 1992, 1995-2017. To supplement the list, we used relevant literature with periods of research from the 1960s to the 2010s. The list is almost identical to "Dataset 2: Zooplankton and Meiofauna across Arctic Regions of Russia", which was analyzed but not published in [1]. The detailed analysis of this list revealed the specific composition of the aquatic fauna associated with the climatic and geographical factors [1]. The data provide information on the current state of biodiversity and species richness in Arctic fresh waters and can serve as the basis for monitoring these environments and predicting how they are likely to change in the future. (C) 2021 The Author(s). Published by Elsevier Inc.

WOS
Держатели документа:
Russian Acad Sci, Ural Branch, Komi Sci Ctr, Inst Biol, Kommunist Skaya 28, Syktyvkar 167982, Russia.
Russian Acad Sci, Krasnoyarsk Sci Ctr, Fed Res Ctr, Inst Biophys,Siberian Branch, Akademgorodok 50-50, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Svobodny Av 79, Krasnoyarsk 660041, Russia.
Kazan Fed Univ, Inst Geol & Petr Technol, Kremlyovskaya 18, Kazan 420008, Russia.
Lena Delta Nat Reserve, Ak Fedorova 28, Tiksi 678400, Sakha Republic, Russia.

Доп.точки доступа:
Fefilova, Elena; Dubovskaya, Olga; Kononova, Olga; Frolova, Larisa; Abramova, Ekaterina; Nigamatzyanova, Gulnara; Institute of Biophysics of the Federal Research Center "Krasnoyarsk Science Center" of the Siberian Branch of the Russian Academy of Sciences [51.1.1]; Siberian Federal University [FSRZ-2020-0006]; Russian Science FoundationRussian Science Foundation (RSF) [20-17-00135]; Kazan Federal University [671-2020-0049]; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [18-05-00406]; Russian Foundation for Basic Research (RFBR)Russian Foundation for Basic Research (RFBR) [20-04-00145_a]

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11.


   
    Data on taxa composition of freshwater zooplankton and meiobenthos across Arctic regions of Russia / E. Fefilova, O. Dubovskaya, O. Kononova [et al.] // Data Brief. - 2021. - Vol. 36. - Ст. 107112, DOI 10.1016/j.dib.2021.107112 . - ISSN 2352-3409
Кл.слова (ненормированные):
Arctic -- Cladocerans -- Copepods -- Fresh waters -- Meiobenthos -- Rotifers -- Species list -- Zooplankton
Аннотация: We present the presence/absence species list (Table 1) of rotifer, cladoceran, and copepod (Calanoida, Harpacticoida, and Cyclopoida) fauna from seven Arctic regions of Russia (the Kola Peninsula, the Pechora River Delta, the Bolshezemelskaya tundra, the Polar Ural, the Putorana Plateau, the Lena River Delta, and the Indigirka River Basin) based on our own and literature data. Our own records were obtained by analyzing samples of zooplankton, meiobenthos, and two cores of bottom sediments (from the Kola Peninsula and the Bolshezemelskaya tundra lakes) that we collected once in July or August in 1992, 1995–2017. To supplement the list, we used relevant literature with periods of research from the 1960s to the 2010s. The list is almost identical to “Dataset 2: Zooplankton and Meiofauna across Arctic Regions of Russia”, which was analyzed but not published in [1]. The detailed analysis of this list revealed the specific composition of the aquatic fauna associated with the climatic and geographical factors [1]. The data provide information on the current state of biodiversity and species richness in Arctic fresh waters and can serve as the basis for monitoring these environments and predicting how they are likely to change in the future. © 2021

Scopus
Держатели документа:
Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences, Kommunisticheskaya 28, Syktyvkar, 167982, Russian Federation
Institute of Biophysics of Federal Research Center “Krasnoyarsk Science Center” of Siberian Branch of Russian Academy of Sciences, Akademgorodok 50/50, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Svobodny av. 79, Krasnoyarsk, 660041, Russian Federation
Institute of Geology and Petroleum Technologies, Kazan Federal University, Kremlyovskaya 18, Kazan, 420008, Russian Federation
Lena Delta Nature Reserve, Ak. Fedorova 28, Sakha Republic, Tiksi 678400, Russian Federation

Доп.точки доступа:
Fefilova, E.; Dubovskaya, O.; Kononova, O.; Frolova, L.; Abramova, E.; Nigamatzyanova, G.

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12.


   
    Density dependent regulation of the reproduction cycle of Moina macrocopa (Cladocera) [Text] / Y. S. Zadereev, V. G. Gubanov ; ed.: JCV Klein, CV Klein, // BIODIVERSITY CRISIS AND CRUSTACEA. Ser. CRUSTACEAN ISSUES : A A BALKEMA PUBLISHERS, 2000. - Vol. 12: 4th International Crustacean Congress (JUL 20-24, 1998, AMSTERDAM, NETHERLANDS). - P535-541. - Cited References: 19 . - ISBN 0168-6356. - ISBN 90-5410-478-3
РУБ Fisheries
Рубрики:
DAPHNIA-PULEX
   ZOOPLANKTON

   MAGNA

Аннотация: The allelopathic effect of population density on gametogenesis induction of Moina macrocopa (Crustacea: Cladocera) was investigated at varying food concentration, photoperiod, and temperature. The presence of the non-trophic effect of population density on gametogenesis induction was demonstrated. The experiments with single females have shown that if the photoperiod, temperature, and food concentration are favorable for parthenogenesis, the crowding water has the effect of stimulating females into changing the reproduction mode. This effect was enhanced by using a higher density of the population to achieve crowding. The change of reproduction mode occurs in the experiments with populations of M. macrocopa with the achievement of food availability favorable for the parthenogenesis of single females. Chemical interactions between animals are the most obvious explanation for the obtained results.

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

Доп.точки доступа:
Zadereev, Y.S.; Gubanov, V.G.; Klein, JCV \ed.\; Klein,, CV \ed.\

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13.


   
    Ecological features of cyanobacteria and algae communities of the littoral of the meromictic Lake Shira (Khakassia Republic, Russia) / L. A. Gaysina, A. I. Fazlutdinova, N. Mukhina [et al.] // Theor. Appl. Ecol. - 2020. - Is. 1. - P47-50, DOI 10.25750/1995-4301-2020-1-047-050. - Cited References:18. - The study was supported by Russian Foundation for Basic Research in the frame of project 19-05-00428 and an internal grant of M. Akmullah Bashkir State Pedagogical University for the year 2019. This article is published with financial support from the RFBR grant No. 19-04-20031. . - ISSN 1995-4301. - ISSN 2618-8406
РУБ Ecology

Кл.слова (ненормированные):
meromixia -- Bacillariophyta -- alkaliphilic species -- Leptolyngbya -- voronichiniana -- Pseudophormidium pauciramosum -- Desmodesmus abundans -- Oocystis lacustris -- Amphora ovalis -- Grunowia tabellaria -- Surirella -- undulata
Аннотация: During the study of cyanobacteria and algae from littoral of the meromictic Lake Shira (Republic of Khakassia, Russia) forty-eight taxa were identified: Cyanobacteria - 7, Chlorophyta - 5, and Bacillariophyta - 36 species. Cyanobacteria were represented by cosmopolitan taxa Leptolyngbya voronichiniana, cf. Trichocoleus hospitus and widely distributed in the freshwater ecosystems species Phormidium cf. paulsenianum, Pseudophormidium cf. golenkinianum, P. pauciramosum, Leptolyngbya perforans, and L. subtilissima. Among green algae typical freshwater taxa Chloroidium saccharophilum, Desmodesmus abundans, Oocystis lacustris, Chlorella sp., Stigeoclonium sp. were detected. Among Bacillariophyta the most frequent species were Amphora ovalis, Cymbella affinis, Encyonema silesiacum, Eunotia fallax, Gomphonella olivacea, G. parvulum, Kobayasiella subtilissima, Navicula minima, N. radiosa, N. veneta, Nitzchia fonticola, N. palea, Grunowia tabellaria, Surirella undulata. Several rare species cf. Fragilaria tenera, Grunowia tabellaria and cf. Ulnaria capitata were found. In relation to mineralization indifferents was the largest group (73%). In relation to pH, a unique feature of the investigated lake was the predominance of alkaliphilic species of diatoms (56%), such as Amphora ovalis, Cymbella affinis, Gomphonema truncatum, Hantzschia amphioxys, Navicula minima, N. veneta, Nitzschia cf. linearis, N. palea, Planothidium lanceolatum and other. In the geographic structure cosmopolitan group included 25 species (69%), boreal group - 4 species (11%), arcto-apline group - 2 species (6%). To obtain more accurate information on the biodiversity of cyanobacteria and algae of Lake Shira further studies using molecular-genetic and electron microscopic methods are needed.

WOS
Держатели документа:
M Akmullah Bashkir State Pedag Univ, 3-A Oktyabrskoy Revolucii, Ufa 450008, Republic Of Bas, Russia.
All Russian Res Inst Phytopathol, 5 Inst St, Odintsovo Dist 143050, Moscow Region, Russia.
RAS, Inst Biophys, Siberian Branch, 50 Akad Gorodok, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, 79 Svobodny Prospekt, Krasnoyarsk 660041, Russia.
John Carroll Univ, John Carroll Blvd, University Hts, OH 41118 USA.

Доп.точки доступа:
Gaysina, L. A.; Fazlutdinova, A., I; Mukhina, N.; Akhrnadeyeva, L. E.; Rogozin, D. Yu; Bul'khin, A. O.; Sulehanova, N., V; Johansen, J. R.; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [19-05-00428]; internal grant of M. Akmullah Bashkir State Pedagogical University; RFBRRussian Foundation for Basic Research (RFBR) [19-04-20031]

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14.


   
    Ecological features of cyanobacteria and algae communities of the littoral of the meromictic Lake Shira (Khakassia Republic, Russia) / L. A. Gaysina, A. I. Fazlutdinova, O. N. Mukhina [et al.] // Theor. Appl. Ecol. - 2020. - Vol. 2020, Is. 1. - P47-50, DOI 10.25750/1995-4301-2020-1-047-050 . - ISSN 1995-4301
Кл.слова (ненормированные):
Alkaliphilic species -- Amphora ovalis -- Bacillariophyta -- Desmodesmus abundans -- Grunowia tabellaria -- Leptolyngbya voronichiniana -- Meromixia -- Oocystis lacustris -- Pseudophormidium pauciramosum -- Surirella undulata
Аннотация: During the study of cyanobacteria and algae from littoral of the meromictic Lake Shira (Republic of Khakassia, Russia) forty-eight taxa were identified: Cyanobacteria - 7, Chlorophyta - 5, and Bacillariophyta - 36 species. Cyanobacteria were represented by cosmopolitan taxa Leptolyngbya voronichiniana, cf. Trichocoleus hospitus and widely distributed in the freshwater ecosystems species Phormidium cf. paulsenianum, Pseudophormidium cf. golenkinianum, P. pauciramosum, Leptolyngbya perforans, and L. subtilissima. Among green algae typical freshwater taxa Chloroidium saccharophilum, Desmodesmus abundans, Oocystis lacustris, Chlorella sp., Stigeoclonium sp. were detected. Among Bacillariophyta the most frequent species were Amphora ovalis, Cymbella affinis, Encyonema silesiacum, Eunotia fallax, Gomphonella olivacea, G. parvulum, Kobayasiella subtilissima, Navicula minima, N. radiosa, N. veneta, Nitzchia fonticola, N. palea, Grunowia tabellaria, Surirella undulata. Several rare species cf. Fragilaria tenera, Grunowia tabellaria and cf. Ulnaria capitata were found. In relation to mineralization indifferents was the largest group (73%). In relation to pH, a unique feature of the investigated lake was the predominance of alkaliphilic species of diatoms (56%), such as Amphora ovalis, Cymbella affinis, Gomphonema truncatum, Hantzschia amphioxys, Navicula minima, N. veneta, Nitzschia cf. linearis, N. palea, Planothidium lanceolatum and other. In the geographic structure cosmopolitan group included 25 species (69%), boreal group - 4 species (11%), arcto-apline group - 2 species (6%). To obtain more accurate information on the biodiversity of cyanobacteria and algae of Lake Shira further studies using molecular-genetic and electron microscopic methods are needed. © 2020 Publishing House "O- Kratkoe". All rights reserved.

Scopus
Держатели документа:
M. Akmullah Bashkir State Pedagogical University, 3-a, Okt'yabrskoy revolucii, Ufa, 450008, Russian Federation
All-Russian Research Institute of Phytopathology, 5, Institute St., B. Vyazyomy, Odintsovo District, Moscow Region, 143050, Russian Federation
Institute of Biophysics Siberian Branch of RAS, 50, Akademgorodok, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, 79, Svobodny Prospekt, Krasnoyarsk, 660041, Russian Federation
John Carroll University, University Heights, John Carroll Blvd., Ohio, 44118, United States

Доп.точки доступа:
Gaysina, L. A.; Fazlutdinova, A. I.; Mukhina, O. N.; Akhmadeyeva, L. F.; Rogozin, D. Y.U.; Bul'Khin, A. O.; Sukhanova, N. V.; Johansen, J. R.

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15.


   
    Effect of soil salinization on the productivity of pasture in the arid land / N. A. Kononova, T. I. Pisman, A. P. Shevyrnogov // IOP Conference Series: Earth and Environmental Science : IOP Publishing Ltd, 2020. - Vol. 548: 3rd International Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH-III 2020 (18 June 2020 through 20 June 2020, ) Conference code: 162670, Is. 7. - Ст. 072063, DOI 10.1088/1755-1315/548/7/072063
Кл.слова (ненормированные):
Biodiversity -- Biotechnology -- Ecosystems -- Plants (botany) -- Productivity -- Different soils -- Field investigation -- Field studies -- Halophytic plants -- Plant communities -- Seasonal dynamics -- Soil salinity -- Soil salinization -- Soils
Аннотация: This study compares the field data of the seasonal dynamics of halophytic plant productivity as dependent upon soil salinity level and soil type. The field study was carried out in the coastal area of Lake Kurinka (the Republic of Khakasia, south of Middle Siberia) between May and September of 2014 and 2016. Two plant communities with different soil salinity levels were studied. Results of the field investigation show that there is a correlation between plant growth and the soil salinity level. With high-salinity (3.72%) soils, the productivity of halophyte plants is lower than productivity with low-salinity (0.175%) soils. © Published under licence by IOP Publishing Ltd.

Scopus
Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, 50/50 Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Kononova, N. A.; Pisman, T. I.; Shevyrnogov, A. P.

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16.


   
    First circumpolar assessment of Arctic freshwater phytoplankton and zooplankton diversity: Spatial patterns and environmental factors / A. K. Schartau, H. L. Mariash, K. S. Christoffersen [et al.] // Freshw. Biol. - 2021, DOI 10.1111/fwb.13783. - Cited References:78. - RFBR, Grant/Award Number: 20-04-00145_a . - Article in press. - ISSN 0046-5070. - ISSN 1365-2427
РУБ Ecology + Marine & Freshwater Biology
Рубрики:
HIGH-LATITUDE LAKES
   CLIMATE-CHANGE

   SPECIES RICHNESS

   BETA DIVERSITY

Кл.слова (ненормированные):
alpha diversity -- beta diversity -- ecoregions -- latitude -- taxonomic -- richness -- temperature
Аннотация: Arctic freshwaters are facing multiple environmental pressures, including rapid climate change and increasing land-use activities. Freshwater plankton assemblages are expected to reflect the effects of these stressors through shifts in species distributions and changes to biodiversity. These changes may occur rapidly due to the short generation times and high dispersal capabilities of both phyto- and zooplankton. Spatial patterns and contemporary trends in plankton diversity throughout the circumpolar region were assessed using data from more than 300 lakes in the U.S.A. (Alaska), Canada, Greenland, Iceland, the Faroe Islands, Norway, Sweden, Finland, and Russia. The main objectives of this study were: (1) to assess spatial patterns of plankton diversity focusing on pelagic communities; (2) to assess dominant component of beta diversity (turnover or nestedness); (3) to identify which environmental factors best explain diversity; and (4) to provide recommendations for future monitoring and assessment of freshwater plankton communities across the Arctic region. Phytoplankton and crustacean zooplankton diversity varied substantially across the Arctic and was positively related to summer air temperature. However, for zooplankton, the positive correlation between summer temperature and species numbers decreased with increasing latitude. Taxonomic richness was lower in the high Arctic compared to the sub- and low Arctic for zooplankton but this pattern was less clear for phytoplankton. Fennoscandia and inland regions of Russia represented hotspots for, respectively, phytoplankton and zooplankton diversity, whereas isolated regions had lower taxonomic richness. Ecoregions with high alpha diversity generally also had high beta diversity, and turnover was the most important component of beta diversity in all ecoregions. For both phytoplankton and zooplankton, climatic variables were the most important environmental factors influencing diversity patterns, consistent with previous studies that examined shorter temperature gradients. However, barriers to dispersal may have also played a role in limiting diversity on islands. A better understanding of how diversity patterns are determined by colonisation history, environmental variables, and biotic interactions requires more monitoring data with locations dispersed evenly across the circumpolar Arctic. Furthermore, the importance of turnover in regional diversity patterns indicates that more extensive sampling is required to fully characterise the species pool of Arctic lakes.

WOS
Держатели документа:
Norwegian Inst Nat Res, Songsveien 68, NO-0855 Oslo, Norway.
Natl Wildlife Res Ctr, Environm & Climate Change Canada, Ottawa, ON, Canada.
Univ Copenhagen, Freshwater Biol Sect, Dept Biol, Copenhagen O, Denmark.
Univ Alaska Anchorage, Alaska Ctr Conservat Sci, Anchorage, AK USA.
Russian Acad Sci, Inst Biophys, Krasnoyarsk Sci Ctr, Siberian Branch, Krasnoyarsk, Russia.
Siberian Fed Univ, Inst Fundamental Biol & Biotechnol, Krasnoyarsk, Russia.
Russian Acad Sci, Inst Biol, Komi Sci Ctr, Ural Branch, Syktyvkar, Russia.
Univ New Brunswick, Canadian Rivers Inst, Fredericton, NB, Canada.
Univ New Brunswick, Dept Biol, Fredericton, NB, Canada.
Nat Hist Museum Kopavogur, Kopavogur, Iceland.
Norwegian Inst Nat Res, Trondheim, Norway.
Lomonosov Moscow State Univ, Fac Biol, Dept Gen Ecol & Hydrobiol, Moscow, Russia.
State Nat Reserve Wrangel Isl, Pevek, Chukotka Autono, Russia.
Univ Quebec Chicoutimi, Dept Sci Fondamentales, Saguenay, PQ, Canada.
Univ Laval, Ctr Northern Studies CEN, Quebec City, PQ, Canada.
Queens Univ, Dept Biol, Paleoecol Environm Assessment & Res Lab PEARL, Kingston, ON, Canada.
Swedish Univ Agr Sci, Dept Aquat Sci & Assessment, Uppsala, Sweden.
Univ Helsinki, Lammi Biol Stn, Lammi, Finland.

Доп.точки доступа:
Schartau, Ann Kristin; Mariash, Heather L.; Christoffersen, Kirsten S.; Bogan, Daniel; Dubovskaya, Olga P.; Fefilova, Elena B.; Hayden, Brian; Ingvason, Haraldur R.; Ivanova, Elena A.; Kononova, Olga N.; Kravchuk, Elena S.; Lento, Jennifer; Majaneva, Markus; Novichkova, Anna A.; Rautio, Milla; Ruhland, Kathleen M.; Shaftel, Rebecca; Smol, John P.; Vrede, Tobias; Kahilainen, Kimmo K.; RFBRRussian Foundation for Basic Research (RFBR) [20-04-00145_a]

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17.


   
    First circumpolar assessment of Arctic freshwater phytoplankton and zooplankton diversity: Spatial patterns and environmental factors / A. K. Schartau, H. L. Mariash, K. S. Christoffersen [et al.] // Freshw. Biol. - 2021, DOI 10.1111/fwb.13783 . - Article in press. - ISSN 0046-5070
Кл.слова (ненормированные):
ecoregions -- latitude -- taxonomic richness -- temperature -- ? diversity -- ? diversity
Аннотация: Arctic freshwaters are facing multiple environmental pressures, including rapid climate change and increasing land-use activities. Freshwater plankton assemblages are expected to reflect the effects of these stressors through shifts in species distributions and changes to biodiversity. These changes may occur rapidly due to the short generation times and high dispersal capabilities of both phyto- and zooplankton. Spatial patterns and contemporary trends in plankton diversity throughout the circumpolar region were assessed using data from more than 300 lakes in the U.S.A. (Alaska), Canada, Greenland, Iceland, the Faroe Islands, Norway, Sweden, Finland, and Russia. The main objectives of this study were: (1) to assess spatial patterns of plankton diversity focusing on pelagic communities; (2) to assess dominant component of ? diversity (turnover or nestedness); (3) to identify which environmental factors best explain diversity; and (4) to provide recommendations for future monitoring and assessment of freshwater plankton communities across the Arctic region. Phytoplankton and crustacean zooplankton diversity varied substantially across the Arctic and was positively related to summer air temperature. However, for zooplankton, the positive correlation between summer temperature and species numbers decreased with increasing latitude. Taxonomic richness was lower in the high Arctic compared to the sub- and low Arctic for zooplankton but this pattern was less clear for phytoplankton. Fennoscandia and inland regions of Russia represented hotspots for, respectively, phytoplankton and zooplankton diversity, whereas isolated regions had lower taxonomic richness. Ecoregions with high ? diversity generally also had high ? diversity, and turnover was the most important component of ? diversity in all ecoregions. For both phytoplankton and zooplankton, climatic variables were the most important environmental factors influencing diversity patterns, consistent with previous studies that examined shorter temperature gradients. However, barriers to dispersal may have also played a role in limiting diversity on islands. A better understanding of how diversity patterns are determined by colonisation history, environmental variables, and biotic interactions requires more monitoring data with locations dispersed evenly across the circumpolar Arctic. Furthermore, the importance of turnover in regional diversity patterns indicates that more extensive sampling is required to fully characterise the species pool of Arctic lakes. © 2021 The Authors. Freshwater Biology published by John Wiley & Sons Ltd.

Scopus
Держатели документа:
Norwegian Institute for Nature Research, Oslo, Norway
Environment and Climate Change Canada, National Wildlife Research Centre, Ottawa, ON, Canada
Freshwater Biological Section, Department of Biology, University of Copenhagen, Copenhagen O, Denmark
Alaska Center for Conservation Science, University of Alaska Anchorage, Anchorage, AK, United States
Institute of Biophysics, Krasnoyarsk Science Center, Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, Russian Federation
Institute of Biology, Komi Scientific Centre, Ural Branch of Russian Academy of Sciences, Syktyvkar, Russian Federation
Canadian Rivers Institute and Department of Biology, University of New Brunswick, Fredericton, NB, Canada
Natural History Museum of Kopavogur, Kopavogur, Iceland
Norwegian Institute for Nature Research, Trondheim, Norway
Department of General Ecology and Hydrobiology, Biological Faculty, Lomonosov Moscow State University, Moscow, Russian Federation
State Nature Reserve Wrangel Island, Pevek, Chukotka Autonomous Region, Russian Federation
Departement des sciences fondamentales, Universite du Quebec a Chicoutimi, Saguenay, QC, Canada
Centre for Northern Studies (CEN), Universite Laval, Quebec City, QC, Canada
Paleoecological Environmental Assessment and Research Laboratory (PEARL), Department of Biology, Queen’s University, Kingston, ON, Canada
Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
Lammi Biological Station, University of Helsinki, Lammi, Finland

Доп.точки доступа:
Schartau, A. K.; Mariash, H. L.; Christoffersen, K. S.; Bogan, D.; Dubovskaya, O. P.; Fefilova, E. B.; Hayden, B.; Ingvason, H. R.; Ivanova, E. A.; Kononova, O. N.; Kravchuk, E. S.; Lento, J.; Majaneva, M.; Novichkova, A. A.; Rautio, M.; Ruhland, K. M.; Shaftel, R.; Smol, J. P.; Vrede, T.; Kahilainen, K. K.

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18.


   
    Methanolobus psychrotolerans sp. nov., a psychrotolerant methanoarchaeon isolated from a saline meromictic lake in siberia / S. -C. Chen [et al.] // Int. J. Syst. Evol. Microbiol. - 2018. - Vol. 68, Is. 4. - P1378-1383, DOI 10.1099/ijsem.0.002685 . - ISSN 1466-5026
Кл.слова (ненормированные):
Archaea -- Lake shira -- Methanogen -- Methanolobus -- Psychrotolerant -- Saline meromictic lake
Аннотация: A psychrotolerant, methylotrophic methanogen, strain YSF-03T, was isolated from the saline meromictic Lake Shira in Siberia. Cells of strain YSF-03T were non-motile, irregular cocci and 0.8–1.2?m in diameter. The methanogenic substrates utilized by strain YSF-03T were methanol and trimethylamine. The temperature range of growth for strain YSF-03T was from 0 to 37 °C. The optimum growth conditions were 30–37 °C, pH 7.0–7.4 and 0.17M NaCl. The G+C content of the genome of strain YSF-03T was 41.3 mol%. Phylogenetic analysis revealed that strain YSF-03T was most closely related to Methanolobus profundi MobMT (98.15% similarity in 16S rRNA gene sequence). Genome relatedness between strain YSF-03T and MobMT was computed using the Genome-to-Genome Distance Calculator and average nucleotide identity, which gave values of 23.5 and 79.3 %, respectively. Based on the morphological, phenotypic, phylogenetic and genomic relatedness data presented here, it is evident that strain YSF-03T represents a novel species of the genus Methanolobus, for which the name Methanolobus psychrotolerans sp. nov. is proposed. The type strain is YSF-03T (=BCRC AR10049T=DSM 104044T=NBRC 112514T). © 2018 IUMS.

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Держатели документа:
Department of Life Science, National Chung Hsing University, Taiwan
Agricultural Biotechnology Center, National Chung Hsing University, Taiwan
Biodiversity Research Center, Academia Sinica, Taiwan
Institute of Biophysics Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Chen, S. -C.; Huang, H. -H.; Lai, M. -C.; Weng, C. -Y.; Chiu, H. -H.; Tang, S. -L.; Rogozin, D. Y.; Degermendzhy, A. G.

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19.


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

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

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

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20.


   
    Modelling the effect of planktivorous fish removal in a reservoir on the biomass of cyanobacteria / I. G. Prokopkin, V. G. Gubanov, M. I. Gladyshev // Ecological Modelling. - 2006. - Vol. 190, Is. 3-4. - P419-431, DOI 10.1016/j.ecolmodel.2005.05.011 . - ISSN 0304-3800
Кл.слова (ненормированные):
Biomanipulation -- Cyanobacteria -- Ecological mathematical model -- Viable gut passage -- Bacteria -- Biodiversity -- Biomass -- Ecosystems -- Rivers -- Cyanobacteria -- Fishes -- Viable gut passage -- Ecology -- algal bloom -- community dynamics -- modeling -- planktivore -- removal experiment -- reservoir -- Bugach Reservoir -- Eastern Hemisphere -- Eurasia -- Krasnoyarsk [Russian Federation] -- Russian Federation -- World -- Anabaena -- Carassius auratus -- Carassius carassius -- Cyanobacteria -- Cyprinus carpio -- Daphnia -- Microcystis
Аннотация: In 2002, a "top-down" biomanipulation (reduction of biomass of planktivorous fish Carassius auratus) had been successfully carried out in a small reservoir of the river Bugach (Krasnoyarsk, Russia), after which the cyanobacterial blooming ceased. However, the reservoir ecosystem was absolutely free of Daphnia - the main link of trophic cascade. As supposed, the reduction of blooming was the result of suppression of a direct stimulation effect of planktivorous fish on cyanobacteria, revealed earlier in laboratory experiments. The question arose as to whether the effect of stimulation of cyanobacteria revealed in laboratory may lead to the changes in biomass of cyanobacteria in the reservoir, observed after the biomanipulation. To test this supposition, a mathematical model describing growth of cyanobacteria in the reservoir was developed. The modelling results and field data on biomass of cyanobacteria in summer closely coincided. Modelling calculations showed that direct influence of planktivorous fish could cause the second summer peak of water blooming by Microcystis. On the contrary, removal of crucian carp from the reservoir will not affect the level of water blooming caused by cyanobacteria Anabaena, as this species' growth is not stimulated by fish. В© 2005 Elsevier B.V. All rights reserved.

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

Доп.точки доступа:
Prokopkin, I.G.; Gubanov, V.G.; Gladyshev, M.I.

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