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Agent-based modeling of the complex life cycle of a cyanobacterium (Anabaena) in a shallow reservoir / F. L. Hellweger [et al.] // Limnology and Oceanography. - 2008. - Vol. 53, Is. 4. - P1227-1241 . - ISSN 0024-3590
Кл.слова (ненормированные):
algal bloom -- annual variation -- cyanobacterium -- ecological modeling -- Eulerian analysis -- experimental study -- Lagrangian analysis -- life cycle -- nutrient availability -- phytoplankton -- population dynamics -- reservoir -- shallow water -- survival -- water column -- Bugach Reservoir -- Eurasia -- Krasnoyarsk [Russian Federation] -- Russian Federation -- Anabaena -- Anabaena flos-aquae
Аннотация: The cyanobacterium Anabaena flos-aquae and many other phytoplankton species have a complex life cycle that includes a resting stage (akinete). We present a new agent-based (also known as individual-based) model of Anabaena that includes the formation and behavior of akinetes. The model is part of a coupled Eulerian-Lagrangian model and can reproduce the main features of the observed seasonal and interannual population dynamics in Bugach Reservoir (Siberia), including an unexpectedly large bloom in a year with low nutrient concentrations. Model analysis shows that the internal loading of phosphorus (P) due to germination from the sediment bed is ?10% of the total input. However, most of the long-term nutrient uptake for Anabaena occurs in the sediment bed, which suggests that the sediment bed is not just a convenient overwintering location but may also be the primary source of nutrients. An in silico tracing experiment showed that most water column cells (?90%) originated from cells located in the sediment bed during the preceding winter. An in silico gene knockout experiment (akinete formation is prohibited) showed that the formation of resting stages is of critical importance to the survival of the population on an annual basis. A nutrient-reduction management scenario indicates that Anabaena densities increase because they are less sensitive to water column nutrient levels (because of the sediment bed source) than other species. В© 2008, by the American Society of Limnology and Oceanography, Inc.

Scopus
Держатели документа:
Civil and Environmental Engineering Department, Northeastern University, Boston, MA 02115, United States
Center for Urban Environmental Studies, Northeastern University, Boston, MA 02115, United States
Institute of Biophysics, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk 660036, Russian Federation
Siberian Federal University, Krasnoyarsk 660041, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Hellweger, F.L.; Kravchuk, E.S.; Novotny, V.; Gladyshev, M.I.

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Infochemical-mediated trophic interactions between the rotifer Brachionus calyciflorus and its food algae / A. M. Verschoor, Y. S. Zadereev, W. M. Mooij // Limnology and Oceanography. - 2007. - Vol. 52, Is. 5. - P2109-2119 . - ISSN 0024-3590
Кл.слова (ненормированные):
alga -- aquatic ecosystem -- assimilation efficiency -- experimental study -- feeding behavior -- food web -- freshwater environment -- ingestion rate -- trophic interaction -- algae -- Brachionus calyciflorus -- Rotifera -- Scenedesmus -- Scenedesmus obliquus
Аннотация: We studied how chemicals obtained as filtrates from algal monocultures (algal chemicals) and from rotifer cultures with or without algae (rotifer chemicals) affected feeding rates of the rotifer Brachionus calyciflorus on its food algae, both directly and indirectly (through chemical-induced changes in algal morphology). Algal chemicals had a strong stimulating effect on the feeding rate of B. calyciflorus, but these effects were counteracted by rotifer chemicals. In functional response experiments, rotifer chemicals lowered maximum ingestion rates and had strong effects on assimilation rates and assimilation efficiencies of B. calyciflorus, probably due to the release of unspecific (auto)toxic metabolites. Furthermore, rotifer chemicals induced colony formation in the food alga Scenedesmus obliquus. Above the optimum particle size for ingestion by B. calyciflorus, larger algal colony sizes increased the food-handling time, thus lowering ingestion and assimilation rates. Through their effects on trophic interactions, infochemicals may play a role in structuring and the functioning of aquatic food webs. В© 2007, by the American Society of Limnology and Oceanography, Inc.

Scopus
Держатели документа:
Netherlands Institute of Ecology (NIOO-KNAW), Centre for Limnology, Rijksstraatweg 6, 3631 AC Nieuwersluis, Netherlands
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, 660036 Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Verschoor, A.M.; Zadereev, Y.S.; Mooij, W.M.

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Ocean processes revealing by seasonal dynamics of surface chlorophyll concentration (by satellite data) / A. Shevyrnogov, G. Vysotskaya // Proceedings of SPIE - The International Society for Optical Engineering. - 2011. - Vol. 8175: Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011 (21 September 2011 through 22 September 2011, Prague) Conference code: 87287. - Ст. 1, DOI 10.1117/12.897819
Кл.слова (ненормированные):
Chlorophyll concentration -- MODIS -- Ocean -- Sea surface temperature -- SeaWiFs -- Chlorophyll concentration -- MODIS -- Ocean -- Sea surface temperatures -- SeaWiFs -- Atmospheric temperature -- Band structure -- Chlorophyll -- Dynamics -- Ecology -- Hydrophilicity -- Productivity -- Remote sensing -- Satellites -- Sea ice -- Space optics -- Spatial distribution -- Surface properties -- Time series -- Time series analysis -- Oceanography
Аннотация: Continuous monitoring of phytopigment concentrations and sea surface temperature in the ocean by space-borne methods makes possible to estimate ecological condition of biocenoses in critical areas. In the papers of the authors (Shevyrnogov A.P., Vysotskaya G.S., Gitelzon J.I. 1996) existence of zones, which are quasi-stationary with similar seasonal dynamics of chlorophyll concentration at surface layer of ocean, was shown. Results were obtained on the base of processing of time series of satellite images SeaWiFS. It was shown that fronts and frontal zones coincide with dividing lines between quasi-stationary areas, especially in areas of large oceanic streams. The usage of the seasonal dynamics gives a possibility to circumvent influence of high-frequency component in investigation of dynamics of spatial distribution of surface streams. In addition, an analyses of unstable ocean productivity phenomena, stood out time series of satellite images, showed existence of areas with different types of instability in the all Global ocean. They are observed as adjacent nonstationary zones of different size, which are associated by different ways with known oceanic phenomena. It is evident that dynamics of a spatial distribution of biological productivity and sea surface temperature can give an additional knowledge of complicated picture of surface oceanic layer hydrology. В© 2011 SPIE.

Scopus
Держатели документа:
Institute of Biophysics of SB RAS, Akademgorodok, 660036, Krasnoyarsk, Russian Federation
Institute of Computational Modeling of SB RAS, Akademgorodok, 660036, Krasnoyarsk, Russian Federation
Siberian Federal University, Kyrensky st., 26, Krasnoyarsk, 660074, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

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

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Spatial and temporal anomalies of sea surface temperature in global scale (by space-based data) / A. Shevyrnogov, G. Vysotskaya, E. Shevyrnogov // Advances in Space Research. - 2004. - Vol. 33, Is. 7. - P1179-1183, DOI 10.1016/S0273-1177(03)00369-7 . - ISSN 0273-1177
Кл.слова (ненормированные):
Anomalies -- Chlorophyll -- Hydrological structure -- Space-based data -- Temperature -- Chlorophyll -- Data reduction -- Oceanography -- Satellites -- Surface properties -- Temperature measurement -- Satellite images -- Spatial distribution -- Space research -- AVHRR -- chlorophyll -- remote sensing -- satellite imagery -- sea surface temperature
Аннотация: The work presents the data on the spatial distribution of temperature anomalies in the Global Ocean, based on the long-term measurements with the AVHRR satellite equipment. It is noteworthy that such results can be only obtained by using long time series of satellite images. To obtain them by ship-borne methods is actually impossible. The proposed anomaly criterion is equal to a difference between minimum/maximum and average temperature, normed for the mean square deviation. The difference is calculated from the whole time series (with regard to a season). Based on this criterion, anomalies can be distinguished on the background of usual seasonal dynamics at various absolute values of deviations of the measured parameter. Besides, rare, single, fluctuations can be also revealed. Based on the proposed criterion, connected zones have been defined. These zones occur almost in every part of the Global Ocean. The data obtained have been analyzed in association with the CZCS (1978-1986) and SeaWiFS satellite images in order to compare them with the areas of anomalous dynamics of chlorophyll concentration and the regions quasistationary in the seasonal dynamics of chlorophyll. Anomalies in the temperature dynamics are of exceptional importance for the formation of climatic deviations; they affect the ocean-atmosphere interaction and reflect variations in the hydrological structure of the surface waters. The work presents a comparison with the dynamics of chlorophyll concentration distribution determined from the SeaWiFS data for the Atlantic Ocean. В© 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.

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

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

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Results of analysis of spatial and temporal long-term stability of quasistationary areas in the Atlantic Ocean based on multi-satellite measurements (CZCS and SeaWiFS data) / A. Shevyrnogov, G. Vysotskaya, E. Shevyrnogov // Advances in Space Research. - 2004. - Vol. 33, Is. 7. - P1184-1188, DOI 10.1016/S0273-1177(03)00366-1 . - ISSN 0273-1177
Кл.слова (ненормированные):
Chlorophyll -- Hydrological structure -- Seasonal dynamics -- Space-based data -- Chlorophyll -- Data reduction -- Hydrology -- Oceanography -- Satellites -- Quasistationary -- Spatial distribution -- Space research -- chlorophyll -- CZCS -- oceanic circulation -- remote sensing -- SeaWiFS -- spatiotemporal analysis -- Atlantic Ocean
Аннотация: The paper analyzes the stability of areas in the Global Ocean, which are quasistationary with respect to the seasonal dynamics of chlorophyll concentration. Such areas were first discovered based on the CZCS data. They occur almost in all regions of the Global Ocean. They reflect typical seasonal dynamics of phytoplankton, which depends on both large ocean currents and local hydrological instability. It is related to the displacement of frontal zones and to local hydrological anomalies. Since the completion of the CZCS work there has been a 10 years gap in monitoring chlorophyll spatial distribution dynamics in the ocean. The reason is the long absence of equipment on the orbit, which would be suitable for the measurement of chlorophyll concentration. Recently, SeaWiFS data have been accumulated and their quantity is sufficient for the crude statistical analysis of image time series for 25 years. Thus, it has become possible to obtain data on the long-term stability of quasistationary areas and, therefore, on the stability of large-scale hydrological phenomena in the Atlantic Ocean. В© 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.

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

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

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

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

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

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Bioluminescence in oceanology. / I. I. Gitelson, L. A. Levin // Journal of bioluminescence and chemiluminescence. - 1989. - Vol. 4, Is. 1. - P555-562 . - ISSN 0884-3996
Кл.слова (ненормированные):
article -- biology -- circadian rhythm -- ecology -- gas -- instrumentation -- luminescence -- oceanography -- Circadian Rhythm -- Ecology -- Gases -- Luminescence -- Marine Biology -- Oceanography
Аннотация: For analytical purposes bioluminescence can be used in three main ways: 1. luminescence measurement of bioluminescent system components isolated in vitro; 2. determination of luminous organisms' reaction to the in vivo test-action; 3. measurement of bioluminescence in marine ecological systems. The majority of the reports of this Symposium are dealing with the first two topics. The aim of our presentation is to draw attention to the third one. The possibilities of bioluminescent analysis are wider than its traditional scheme of applications in the laboratory, when the emitting system is withdrawn from a native source and is placed in a cuvette of the light measuring device. The reverse scheme is also possible, i.e. the device can be introduced into light emitting system such as a marine biocenosis--the community of the sea inhabitants--where we obtain a highly sensitive and rapid means of gaining the information on the vital activity of marine ecosystems, i.e. their spatial structure, rhythms, man's influence upon them, etc. The present communication will consider the possibilities of this form of bioluminescent analysis.

Scopus
Держатели документа:
Institute of Biophysics, USSR Academy of Sciences, Krasnoyarsk. : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Gitelson, I.I.; Levin, L.A.

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Differences in organic matter and bacterioplankton between sections of the largest Arctic river: Mosaic or continuum? [Text] / M. I. Gladyshev [et al.] // Limnol. Oceanogr. - 2015. - Vol. 60, Is. 4. - P1314-1331, DOI 10.1002/lno.10097. - Cited References:75. - At the stage of laboratory analyses, calculations, and generalizations, the work was supported by the project No. 6.1089.214/K of Siberian Federal University, carried out according to Federal Tasks of Ministry of Education and Science of Russian Federation, and by Russian Federal Tasks of Fundamental Research (project No. 51.1.1). The research cruise was supported by the Attracting Leading Scientists to Russian Educational Institutions Program of the Russian Federation, agreement 11.G34.31.0014. . - ISSN 0024-3590. - ISSN 1939-5590

РУБ Limnology + Oceanography
Рубрики:
FATTY-ACID-COMPOSITION
   KARA SEA
   YENISEI RIVER
   CARBON-CYCLE
Аннотация: We studied biogeochemical characteristics, including organic carbon and nitrogen contents, fatty acid (FA) composition, stable isotope ratios, and primary production in conjunction with species composition of bacterioplankton, using next generation sequencing, in the Yenisei River along a distance similar to 1800km. Basing on FA composition of particulate organic matter (POM) and on other indicators of sources of POM, the river was subdivided into four sections. The upper section 1, situated in mountain region, was the net source of high-quality autochthonous organic matter, produced primarily by diatoms and partly consumed by specialized bacteria species. Section 2 in plain taiga was net sink of high quality allochthonous and autochthonous organic matter, produced by cyanobacteria and green algae. Section 3 was net sink of organic matter, primarily allochthonous, consumed by the specialized species of bacteria. The lowest section 4, situated in tundra, was primarily the conduit of recalcitrant terrestrial organic matter, but also the net source of autochthonous organic matter, produced by diatoms. Biogeochemical traits of sections of the Yenisei River evidently shaped dominant species composition of bacterioplankton of these sections. Regarding the biogeochemical and microbiological data, we concluded that the Yenisei River ecosystem complexly combines features of river mosaic, river continuum, and "neutral pipe."

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

Доп.точки доступа:
Gladyshev, Michail I.; Kolmakova, Olesia V.; Tolomeev, Alexander P.; Anishchenko, Olesia V.; Makhutova, Olesia N.; Kolmakova, Anzhelika A.; Kravchuk, Elena S.; Glushchenko, Larisa A.; Kolmakov, Vladimir I.; Sushchik, Nadezhda N.; Siberian Federal University [6.1089.214/K]; Russian Federal Tasks of Fundamental Research [51.1.1]; Attracting Leading Scientists to Russian Educational Institutions Program of the Russian Federation [11.G34.31.0014]

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A low-cost underwater particle tracking velocimetry system for measuring in situ particle flux and sedimentation rate in low-turbulence environments / S. Simoncelli [et al.] // Limnol. Oceanogr. Methods. - 2019, DOI 10.1002/lom3.10341 . - Article in press. - ISSN 1541-5856
Аннотация: We describe a low-cost three-dimensional underwater particle tracking velocimetry system to directly measure particle settling rate and flux in low-turbulence aquatic environments. The system consists of two waterproof cameras that acquire stereoscopic videos of sinking particles at 48 frames s?1 over a tunable sampling volume of about 45 ? 25 ? 24 cm. A dedicated software package has been developed to allow evaluation of particle velocities, concentration and flux, but also of morphometric parameters such as particle area, sinking angle, shape irregularity, and density. Our method offers several advantages over traditional approaches, like sediment trap or expensive in situ camera systems: (1) it does not require beforehand particle collection and handling; (2) it is not subjected to sediment trap biases from turbulence, horizontal advection, or presence of swimmers, that may alter particulate load and flux; (3) the camera system enables faster data processing and flux computation at higher spatial resolution; (4) apart from the particle settling rates, the particle size distribution, and morphology is determined. We tested the camera system in Lake Stechlin (Germany) in low turbulence and mean flow, and analyzed the morphological properties and settling rates of particles to determine their sinking behavior. The particle flux assessed from conventional sediment trap measurements agreed well with that determined by our system. By this, the low-cost approach demonstrated its reliability in low turbulence environments and a strong potential to provide new insights into particulate carbon transport in aquatic systems. Extension of the method to more turbulent and advective conditions is also discussed. © 2019 The Authors. Limnology and Oceanography: Methods published by Wiley Periodicals, Inc. on behalf of Association for the Sciences of Limnology and Oceanography.

Scopus,
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WOS
Держатели документа:
Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany
Institute of Biophysics, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Potsdam University, Institute for Biochemistry and Biology, Potsdam, Germany

Доп.точки доступа:
Simoncelli, S.; Kirillin, G.; Tolomeev, A. P.; Grossart, H. -P.

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10.

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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11.

Morphological and Genetic Diversity of Two Forms of Muksun Coregonus muksun (Salmonidae) of the Khatanga River Basin as a Key for Understanding the Phylogenetic Relationships between Muksun and Whitefish C. lavaretus / E. A. Borovikova, Y. V. Budin // J. Ichthyol. - 2020. - Vol. 60, Is. 6. - P909-922, DOI 10.1134/S0032945220060016 . - ISSN 0032-9452
Кл.слова (ненормированные):
high-density-rakered form -- ITS1 -- Khatanga River -- low-density-rakered form -- mitochondrial DNA -- morphology -- muksun Coregonus muksun -- phylogeny
Аннотация: Abstract: Morphological analysis of muksun Coregonus muksun of the Khatanga River basin revealed that along with its typical high-density-rakered form, individuals of the low-density-rakered form also live in this region. Analysis of the genetic polymorphism of three marker regions of mitochondrial (ND1 and COI fragments) and nuclear (ITS1) DNA indicates the polyphyletic origin of these forms. The revealed low level of genetic differentiation of muksun and whitefish C. lavaretus, along with the available data on the absence of clear diagnostic species characteristics, suggest that they belong to the same biological species C. lavaretus. © 2020, The Author(s).

Scopus
Держатели документа:
Papanin Institute for Biology of Inland Waters—IBIW RAS, Borok, Russian Federation
Institute of Biophysics, Siberian Branch of Russian Academy of Sciences—IBP RAS, Krasnoyarsk, Russian Federation
Krasnoyarsk Branch of All-Russian Scientific Research Institute of Fisheries and Oceanography, Krasnoyarsk, Russian Federation
Krasnoyarsk State Agrarian University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Borovikova, E. A.; Budin, Y. V.

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12.

Global data set of long-term summertime vertical temperature profiles in 153 lakes / R. M. Pilla, E. M. Mette, C. E. Williamson [et al.] // Sci. Data. - 2021. - Vol. 8, Is. 1. - Ст. 200, DOI 10.1038/s41597-021-00983-y . - ISSN 2052-4463
Аннотация: Climate change and other anthropogenic stressors have led to long-term changes in the thermal structure, including surface temperatures, deepwater temperatures, and vertical thermal gradients, in many lakes around the world. Though many studies highlight warming of surface water temperatures in lakes worldwide, less is known about long-term trends in full vertical thermal structure and deepwater temperatures, which have been changing less consistently in both direction and magnitude. Here, we present a globally-expansive data set of summertime in-situ vertical temperature profiles from 153 lakes, with one time series beginning as early as 1894. We also compiled lake geographic, morphometric, and water quality variables that can influence vertical thermal structure through a variety of potential mechanisms in these lakes. These long-term time series of vertical temperature profiles and corresponding lake characteristics serve as valuable data to help understand changes and drivers of lake thermal structure in a time of rapid global and ecological change. © 2021, The Author(s).

Scopus
Держатели документа:
Miami University, Department of Biology, Oxford, OH, United States
Belarusian State University, Faculty of Biology, Minsk, Belarus
Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Department of Ecosystem Research, Berlin, Germany
INRAE, University of Savoie Mont-Blanc, CARRTEL, Thonon-les-Bains, France
University of Comahue: INIBIOMA, CONICET, Neuquen, Argentina
University of Shiga Prefecture, Hikone, Shiga, Japan
University of Nevada, Reno, Global Water Center, Reno, NV, United States
Uppsala University, Department of Ecology and Genetics/Limnology, Uppsala, Sweden
University of Montana, Flathead Lake Biological Station, Polson, Montana, United States
Universidad del Valle de Guatemala Centro de Estudios Atitlan, Guatemala, Guatemala
University of Innsbruck, Research Department for Limnology Mondsee, Mondsee, Austria
Mohonk Preserve, Daniel Smiley Research Center, New Paltz, NY, United States
UK Centre for Ecology & Hydrology, Lake Ecosystems Group, Lancaster, United Kingdom
Seqwater, Ipswich, QLD, Australia
Florida International University, Department of Biological Sciences and Institute of Environment, Miami, FL, United States
U.S. National Park Service, Crater Lake National Park, Crater Lake, OR, United States
University of Oklahoma, Department of Biology, Norman, OK, United States
Griffith University, Australian Rivers Institute, Nathan, Australia
University of Florida, Gainesville, FL, United States
University of Oslo, Department of Biosciences, Oslo, Norway
LUBW Landesanstalt fur Umwelt, Messungen und Naturschutz Baden-Wurttemberg, Institut fur Seenforschung, Langenargen, Germany
IISD Experimental Lake Area Inc., Winnipeg, MB, Canada
FAO, BELSPO, Brussels, Belgium
University of Eastern Finland, Department of Environmental and Biological Sciences, Joensuu, Finland
Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology, Dubendorf, Switzerland
CSIRO, Land and Water, Canberra, Australia
Laurentian University, Cooperative Freshwater Ecology Unit, Sudbury, Ontario, Canada
Fairfield University, Biology Department, Fairfield, CT, United States
University of Minnesota, Itasca Biological Station and Laboratories, Lake Itasca, MN, United States
Finnish Environment Institute SYKE, Freshwater Center, Helsinki, Finland
A.N. Severtsov Institute of Ecology and Evolution of The Russian Academy of Sciences, Laboratory of Ecology of Water Communities and Invasions, Moscow, Russian Federation
Zurich Water Supply, City of Zurich, Zurich, Switzerland
University of Regina, Institute of Environmental Change and Society, Regina, SK, Canada
Milano-Bicocca University, Milan, Italy
University of Applied Sciences and Arts of Southern Switzerland, Department for Environment, Constructions and Design, Canobbio, Switzerland
Kamchatka Research Institute of Fisheries & Oceanography, now Kamchatka Branch of Russian Federal Research Institute of Fisheries and Oceanography, Petropavlovsk-Kamchatsky, Russian Federation
University of Wisconsin, Center for Limnology, Boulder Junction, WI, United States
Federal Agency for Water Management, Institute for Aquatic Ecology and Fisheries Management, Mondsee, Austria
University of California Santa Barbara, Department of Ecology, Evolution and Marine Biology, Santa Barbara, California, United States
University of Waikato, Environmental Research Institute, Hamilton, New Zealand
Ryerson University, Department of Chemistry and Biology, Toronto, ON, Canada
University of Hamburg, Department of Biology, Hamburg, Germany
Dominion Diamond Mines, Environment Department, Calgary, AB, Canada
Ontario Ministry of the Environment, Conservation and Parks, Dorset Environmental Science Centre, Dorset, ON, Canada
Irkutsk State University, Institute of Biology, Irkutsk, Russian Federation
University of Liege, Chemical Oceanography Unit, Institut de Physique (B5A), Liege, Belgium
SUNY New Paltz, Biology Department, New Paltz, NY, United States
The Kinneret Limnological Laboratory, Israel Oceanographic and Limnological Research, Migdal, Israel
CNR Water Research institute, Verbania, Verbania, Pallanza, Italy
Krasnoyarsk Scientific Center SB RAS, Institute of Biophysics, Krasnoyarsk, Russian Federation
University of California Davis, Department of Environmental Science and Policy, Davis, CA, United States
Fondazione Edmund Mach, Research and Innovation Centre, San Michele all’Adige, Italy
University of Maine, Climate Change Institute, Orono, ME, United States
University of Turku, Turku, Finland
Universite Laval, Departments of Biology and Geography, Quebec, Canada
University of Washington, School of Aquatic and Fishery Sciences, Seattle, WA, United States
The Technical University of Kenya, Department of Geosciences and the Environment, Nairobi, Kenya
University of Innsbruck, Department of Ecology, Innsbruck, Austria
University of Konstanz, Limnological Institute, Konstanz, Germany
Dickinson College, Department of Environmental Science, Carlisle, PA, United States
Archbold Biological Station, Venus, FL, United States
University of Michigan, Biological Station, Pellston, MI, United States
Vrije Universiteit Brussel, Department of Hydrology and Hydraulic Engineering, Brussels, Belgium
ETH Zurich, Institute for Atmospheric and Climate Science, Zurich, Switzerland
National Institute of Water & Atmospheric Research, Hamilton, New Zealand
University of Alberta, Department of Biological Sciences, Edmonton, AB, Canada
Cary Institute of Ecosystem Studies, Millbrook, NY, United States

Доп.точки доступа:
Pilla, R. M.; Mette, E. M.; Williamson, C. E.; Adamovich, B. V.; Adrian, R.; Anneville, O.; Balseiro, E.; Ban, S.; Chandra, S.; Colom-Montero, W.; Devlin, S. P.; Dix, M. A.; Dokulil, M. T.; Feldsine, N. A.; Feuchtmayr, H.; Fogarty, N. K.; Gaiser, E. E.; Girdner, S. F.; Gonzalez, M. J.; Hambright, K. D.; Hamilton, D. P.; Havens, K.; Hessen, D. O.; Hetzenauer, H.; Higgins, S. N.; Huttula, T. H.; Huuskonen, H.; Isles, P. D.F.; Joehnk, K. D.; Keller, W. B.; Klug, J.; Knoll, L. B.; Korhonen, J.; Korovchinsky, N. M.; Koster, O.; Kraemer, B. M.; Leavitt, P. R.; Leoni, B.; Lepori, F.; Lepskaya, E. V.; Lottig, N. R.; Luger, M. S.; Maberly, S. C.; MacIntyre, S.; McBride, C.; McIntyre, P.; Melles, S. J.; Modenutti, B.; Muller-Navarra, D. C.; Pacholski, L.; Paterson, A. M.; Pierson, D. C.; Pislegina, H. V.; Plisnier, P. -D.; Richardson, D. C.; Rimmer, A.; Rogora, M.; Rogozin, D. Y.; Rusak, J. A.; Rusanovskaya, O. O.; Sadro, S.; Salmaso, N.; Saros, J. E.; Sarvala, J.; Saulnier-Talbot, E.; Schindler, D. E.; Shimaraeva, S. V.; Silow, E. A.; Sitoki, L. M.; Sommaruga, R.; Straile, D.; Strock, K. E.; Swain, H.; Tallant, J. M.; Thiery, W.; Timofeyev, M. A.; Tolomeev, A. P.; Tominaga, K.; Vanni, M. J.; Verburg, P.; Vinebrooke, R. D.; Wanzenbock, J.; Weathers, K.; Weyhenmeyer, G. A.; Zadereev, E. S.; Zhukova, T. V.

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