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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).

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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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Standing stock and potential yield of essential polyunsaturated fatty acids in zoobentos of the Enisei river / M. I. Gladyshev [и др.] // Doklady Akademii Nauk. - 2004. - Vol. 394, Is. 1. - С. 133-135 . - ISSN 0869-5652
Кл.слова (ненормированные):
Biomass -- Composition -- Fatty acids -- Food products -- Rivers -- Zoobentos -- Fisheries
Аннотация: Such estimation for the big river was conducted for the first time and showed that the ecosystem of central Enisei segment with near 780 km length is able to provide alimentary requirements in eicosopentaenoic plus docosohexaenoic acids for only several thousand people.

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

Доп.точки доступа:
Gladyshev, M.I.; Suschik, N.N.; Andrianova, A.V.; Makhutova, O.N.; Kalacheva, G.S.; Shulepina, S.P.

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Estimating In Situ Zooplankton Non-Predation Mortality in an Oligo-Mesotrophic Lake from Sediment Trap Data: Caveats and Reality Check [Text] / O. P. Dubovskaya [et al.] // PLoS One. - 2015. - Vol. 10, Is. 7. - Ст. e0131431, DOI 10.1371/journal.pone.0131431. - Cited References:60. - This work was supported by joint projects of Russian Foundation for Basic Research and Belarusian Republican Foundation for Fundamental Research (No 14-05-90005-Bel-a to O.P.D and A.P.T., and No B14R-066 to Zh.B.). K.W.T. was supported by a Humboldt Fellowship for Experienced Researchers (Germany), M.I.G. was supported by Russian Federal Tasks of Fundamental Research (project No. 51.1.1), H.P.G. and G.K. were supported by grants from the German Science Foundation (GR 1540/20-1 and KI-853/8-1). . - ISSN 1932-6203

РУБ Multidisciplinary Sciences
Рубрики:
FRESH-WATER
NONCONSUMPTIVE MORTALITY
NONPREDATORY MORTALITY
Аннотация: Background Mortality is a main driver in zooplankton population biology but it is poorly constrained in models that describe zooplankton population dynamics, food web interactions and nutrient dynamics. Mortality due to non-predation factors is often ignored even though anecdotal evidence of non-predation mass mortality of zooplankton has been reported repeatedly. One way to estimate non-predation mortality rate is to measure the removal rate of carcasses, for which sinking is the primary removal mechanism especially in quiescent shallow water bodies. Objectives and Results We used sediment traps to quantify in situ carcass sinking velocity and non-predation mortality rate on eight consecutive days in 2013 for the cladoceran Bosmina longirostris in the oligo-mesotrophic Lake Stechlin; the outcomes were compared against estimates derived from in vitro carcass sinking velocity measurements and an empirical model correcting in vitro sinking velocity for turbulence resuspension and microbial decomposition of carcasses. Our results show that the latter two approaches produced unrealistically high mortality rates of 0.58-1.04 d(-1), whereas the sediment trap approach, when used properly, yielded a mortality rate estimate of 0.015 d(-1), which is more consistent with concurrent population abundance data and comparable to physiological death rate from the literature. Ecological implications Zooplankton carcasses may be exposed to water column microbes for days before entering the benthos; therefore, non-predation mortality affects not only zooplankton population dynamics but also microbial and benthic food webs. This would be particularly important for carbon and nitrogen cycles in systems where recurring mid-summer decline of zooplankton population due to non-predation mortality is observed.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Biophys, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Swansea Univ, Dept Biosci, Swansea SA2 8PP, W Glam, Wales.
Swansea Univ, Ctr Sustainable Aquat Res, Swansea SA2 8PP, W Glam, Wales.
MU, Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Ecohydrol, D-12587 Berlin, Germany.
Natl Acad Sci Belarus Bioresources, Sci & Pract Ctr, Minsk 220072, Byelarus.
Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Expt Limnol, D-16775 Neuglobsow, Germany.
Univ Potsdam, Inst Biochem & Biol, D-14469 Potsdam, Germany.

Доп.точки доступа:
Dubovskaya, Olga P.; Tang, Kam W.; Gladyshev, Michail I.; Kirillin, Georgiy; Buseva, Zhanna; Kasprzak, Peter; Tolomeev, Aleksandr P.; Grossart, Hans-Peter; Russian Foundation for Basic Research; Belarusian Republican Foundation for Fundamental Research [14-05-90005-Bel-a, B14R-066]; Humboldt Fellowship for Experienced Researchers (Germany); Russian Federal Tasks of Fundamental Research [51.1.1]; German Science Foundation [GR 1540/20-1, KI-853/8-1]

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Mercury, selenium and fish oils in marine food webs and implications for human health / M. O. Gribble [et al.] // J. Mar. Biol. Assoc. U.K. - 2016. - Vol. 96, Is. 1. - P43-59, DOI 10.1017/S0025315415001356 . - ISSN 0025-3154
Кл.слова (ненормированные):
Docosahexaenoic acid -- Ecotoxicology -- Eicosapentaenoic acid -- Fish oils -- Mercury -- N-3 fatty acids -- Oceans and human health -- OHH -- Public health -- Selenium
Аннотация: Humans who eat fish are exposed to mixtures of healthful nutrients and harmful contaminants that are influenced by environmental and ecological factors. Marine fisheries are composed of a multitude of species with varying life histories, and harvested in oceans, coastal waters and estuaries where environmental and ecological conditions determine fish exposure to both nutrients and contaminants. Many of these nutrients and contaminants are thought to influence similar health outcomes (i.e., neurological, cardiovascular, immunological systems). Therefore, our understanding of the risks and benefits of consuming seafood require balanced assessments of contaminants and nutrients found in fish and shellfish. In this paper, we review some of the reported benefits of fish consumption with a focus on the potential hazards of mercury exposure, and compare the environmental variability of fish oils, selenium and mercury in fish. A major scientific gap identified is that fish tissue concentrations are rarely measured for both contaminants and nutrients across a range of species and geographic regions. Interpreting the implications of seafood for human health will require a better understanding of these multiple exposures, particularly as environmental conditions in the oceans change. © Marine Biological Association of the United Kingdom, 2015.

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Держатели документа:
Department of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, United States
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, United States
Department of Environmental Health Sciences, University at Albany School of Public Health, State University of New York, Rensselaer, NY, United States
Department of Pathology, Microbiology and Immunology, University of South Carolina School of Medicine, Columbia, SC, United States
Department of Veterinary Medicine, College of Natural Science and Mathematics, University of Alaska Fairbanks, Fairbanks, AK, United States
Institute of Biophysics of Siberian Branch, Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Department of Biological Sciences, Dartmouth College, Hanover, NH, United States

Доп.точки доступа:
Gribble, M. O.; Karimi, R.; Feingold, B. J.; Nyland, J. F.; O'Hara, T. M.; Gladyshev, M. I.; Chen, C. Y.

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Effect of season and trophic level on fatty acid composition and content of four commercial fish species from Krasnoyarsk Reservoir (Siberia, Russia) / N. N. Sushchik, A. E. Rudchenko, M. I. Gladyshev // Fish. Res. - 2017. - Vol. 187. - P178-187, DOI 10.1016/j.fishres.2016.11.016 . - ISSN 0165-7836
Кл.слова (ненормированные):
Fatty acids -- Piscivorous and omnivorous fish -- Season -- Stable isotopes -- Trophic level
Аннотация: Two groups of factors, phylogenetic and ecological, are presently regarded as controlling fatty acid composition of fish, including essential eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids. Environmental effects, e.g., trophic position, temperature and/or seasonality, were previously studied using sums of fatty acids or only their level data. We tested the hypothesis that differences in trophic levels of piscivorous (pike and perch) and omnivorous (roach and bream) fish from a mesotrophic reservoir allow discriminating levels and contents of individual fatty acids, especially EPA and DHA. The more established measurements, i.e., stomach contents and carbon and nitrogen stable isotopes in fish muscles, were also carried out to provide linkages between the different ecological tracers, fatty acids versus stable isotopes, and matching the methods for long-term food sources (fatty acids and stable isotopes) and recent foraging (stomach content analysis). We also studied a putative influence of seasonality. Similar to other studies, there were seasonal changes in fatty acid composition and contents of two fish, perch and roach, due to direct and indirect effects of water temperature. Meanwhile, the piscivorous and omnivorous species captured in the same month, were explicitly differentiated on a base of stable isotopes and fatty acids. Significantly higher percentages and contents of DHA in piscivorous fish, perch and pike, relatively to those in roach and bream, likely indicated a higher trophic transfer efficiency for this essential fatty acid. All the fishes have commercial importance for regional fishery and are harvested from the studied reservoir for human nutrition. Regarding content of EPA + DHA (mg g?1 fish) as the indicator of nutritive value for humans, pike had the highest nutritive value, roach and perch had intermediate overlapped values, and bream was of the least benefit. © 2016 Elsevier B.V.

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Держатели документа:
Institute of Biophysics of Federal Research Center “Krasnoyarsk Science Center” of Siberian Branch of Russian Academy of Sciences, Akademgorodok, 50/50, Krasnoyarsk, Russian Federation
Siberian Federal University, Svobodny av, 79, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Sushchik, N. N.; Rudchenko, A. E.; Gladyshev, M. I.

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Ecological Forms of Black Sea Brown Trout (Salmo trutta labrax) in the Mzymta River as Manifestation of Ontogenetic Plasticity / A. A. Makhrov [et al.] // Russ. J. Dev. Biol. - 2018. - Vol. 49, Is. 2. - P117-127, DOI 10.1134/S1062360418020054. - Cited References:77. - This study was supported by the Russian Scientific Foundation, project no. 16-14-10001. . - ISSN 1062-3604. - ISSN 1608-3326

РУБ Developmental Biology
Рубрики:
ATLANTIC SALMON
   POPULATIONS
   HISTORY
   L.
   MIGRATION
   SURVIVAL
Кл.слова (ненормированные):
Salmonidae -- brown trout -- trout -- ontogenesis -- migrations -- maturation -- phenotypic plasticity -- gonads -- smolts
Аннотация: Populations of brown trout in the Mzymta River and its tributaries include anadromous (mainly female) and resident (mainly males) fish. Some resident males in the basin of the Mzymty River attain sexual maturity at the age 1+, and resident females mature at the age 2+ or 3+. The maximum age of resident fish is 4+ in the samples studied. Migrations of anadromous brown trout to the sea occur at the ages 1+, 2+, or 3+. Future spawners spend from 1 to 4 years at feeding grounds in the sea. Smolts of the population are characterized by performing not only spring but also autumn migrations to the sea. One smolt specimen has been detected upstream from the dam in the river where spawners of anadromous brown trout do not migrate; this means that the capability for sea migrations persists long in the population represented only by resident specimens of brown trout. The diversity of life cycles and ecological forms in populations of brown trout is not lower than in populations of brown trout in Northern and Western Europe. The comparison of the data obtained with published data makes it possible to come to the conclusion about the high plasticity of ontogenesis of Black Sea brown trout.

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Держатели документа:
Russian Acad Sci, Severtsov Inst Ecol & Evolut, Moscow 119071, Russia.
Russian Acad Sci, Fed Res Ctr Krasnoyarsk Sci Ctr, Inst Biophys, Siberian Branch, Krasnoyarsk 660036, Russia.
St Petersburg State Univ, St Petersburg 199034, Russia.
Azov Res Inst Fisheries, Krasnodar Branch, Krasnodar 350000, Russia.
Moscow MV Lomonosov State Univ, Moscow 119991, Russia.
Kuban State Univ, Krasnodar 350040, Russia.

Доп.точки доступа:
Makhrov, A. A.; Artamonova, V. S.; Murza, I. G.; Pashkov, A. N.; Ponomareva, M. V.; Reshetnikov, S. I.; Christoforov, O. L.; Russian Scientific Foundation [16-14-10001]

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Meta-analysis of factors associated with omega-3 fatty acid contents of wild fish / M. I. Gladyshev [et al.] // Rev. Fish. Biol. Fish. - 2018. - Vol. 28, Is. 2. - P277-299, DOI 10.1007/s11160-017-9511-0. - Cited References:138. - The work was supported by a Russian Science Foundation Grant (No. 16-14-10001). . - ISSN 0960-3166. - ISSN 1573-5184

РУБ Fisheries + Marine & Freshwater Biology
Рубрики:
FATTY-ACID-COMPOSITION
DIETARY DOCOSAHEXAENOIC ACID
LONG-CHAIN
Кл.слова (ненормированные):
Docosahexaenoic acid -- Ecomorphological factors -- Eicosapentaenoic acid -- Nutritive value -- Phylogenetic factors
Аннотация: Fish are recognized as the main source of physiologically important omega-3 long-chain polyunsaturated fatty acids, namely, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), for human nutrition. However, muscle tissue contents of these fatty acids in diverse fish species, i.e., their nutritive value for humans, varied within two orders of magnitude. We reviewed contents of EPA and DHA, measured by similar methods using an internal standard during chromatography as mg per g of wet mass in 172 fish species belonging to 16 orders, to evaluate probable variations in phylogenetic and ecological drivers. EPA + DHA content varied from 25.6 mg g(-1) of wet mass (Sardinops sagax) to 0.12 mg g(-1) (Gymnura spp.). Multidimensional redundancy analysis revealed that among phylogenetic, ecomorphological and abiotic environmental factors, the highest proportion of variation contribution belonged to the shared contribution of sets of phylogenetic and ecomorphological factors. Specifically, the highest values of EPA + DHA content were characteristic of fish belonging to the orders Clupeiformes or Salmoniformes, were pelagic fast swimmers, ate zooplankton and inhabited marine waters or migrated from fresh to marine waters (anadromous migrations). High EPA and DHA content in muscle tissues of the above species appeared to be a metabolic adaptation for fast continuous swimming. In contrast to common beliefs, our meta-analysis did not support the significant influence of higher trophic levels (piscivory) and cold environments (homeoviscous adaptation) on EPA and DHA content in fish. However, many causes of high and low levels of physiologically important fatty acids in certain fish species remained unexplained and require evaluation in future studies.

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Держатели документа:
Russian Acad Sci, Fed Res Ctr, Krasnoyarsk Sci Ctr, Inst Biophys,Siberian Branch, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Svobodny Av 79, Krasnoyarsk 660041, Russia.
Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Leninsky Prospect 33, Moscow 119071, Russia.
Lomonosov Moscow State Univ, Moscow 119899, Russia.

Доп.точки доступа:
Gladyshev, Michail I.; Sushchik, Nadezhda N.; Tolomeev, Alexander P.; Dgebuadze, Yury Yu; Russian Science Foundation [16-14-10001]

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Effects of zebra mussels on cladoceran communities under eutrophic conditions / I. Feniova [et al.] // Hydrobiologia. - 2018. - P1-18, DOI 10.1007/s10750-018-3699-4 . - ISSN 0018-8158
Кл.слова (ненормированные):
Chlorophyll -- Food quality -- Life-table experiments -- Phosphorus limitation -- Zooplankton
Аннотация: The purpose of this study was to determine how zebra mussels affected cladoceran community structure under eutrophic conditions. We conducted a mesocosm study where we manipulated the presence of zebra mussels and the presence of large-bodied Daphnia (Daphnia magna and Daphnia pulicaria). We also conducted a complimentary life-table experiment to determine how water from the zebra mussel treatment affected the life history characteristics of the cladoceran species. We anticipated that small- and large-bodied cladoceran species would respond differently to changes in algal quality and quantity under the effects of zebra mussels. Large-bodied Daphnia successfully established in the zebra mussel treatment but failed to grow in the control. We did not observe positive relationships between food concentrations and cladoceran abundances. However, the phosphorus content in the seston indicated that food quality was below the threshold level for large-bodied cladocerans at the beginning of the experiment. We believe that zebra mussels quickly enhanced the phosphorus content in the seston due to the excretion of inorganic phosphorus, thus facilitating the development of large-bodied Daphnia. In conclusion, our results suggest that zebra mussels can alter the phosphorus content of seston in lakes and this can affect the dynamics of crustacean zooplankton. © 2018 Springer International Publishing AG, part of Springer Nature

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Держатели документа:
Institute of Ecology and Evolution, Russian Academy of Sciences, Leninsky Prospect 33, Moscow, Russian Federation
Department of Hydrobiology, Faculty of Biology, Biological and Chemical Research Center, University of Warsaw, Zwirki i Wigury 101, Warsaw, Poland
Nencki Institute of Experimental Biology, Hydrobiological Station, Lesna 13, Mikolajki, Poland
Institute of Biophysics of Federal Research Centre, Krasnoyarsk Science Centre of Siberian Branch of Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, Russian Federation
Siberian Federal University, Svobodny Av. 79, Krasnoyarsk, Russian Federation
Department of Lake Fisheries, Inland Fisheries Institute in Olsztyn, Rajska 2, Gizycko, Poland
Department of Hydrobiology, Institute of Biology, University of Bialystok, Ciolkowskiego 1J, Bialystok, Poland
Faculty of Biology, University of Warsaw, Miecznikowa 1, Warsaw, Poland
The Scientific and Practical Center for Bioresources, National Academy of Sciences of Belarus, Str. Akademicheskaya, 27, Minsk, Belarus
Department of Integrative Biology, Oklahoma State University, Stillwater, OK, United States

Доп.точки доступа:
Feniova, I.; Dawidowicz, P.; Ejsmont-Karabin, J.; Gladyshev, M.; Kalinowska, K.; Karpowicz, M.; Kostrzewska-Szlakowska, I.; Majsak, N.; Petrosyan, V.; Razlutskij, V.; Rzepecki, M.; Sushchik, N.; Dzialowski, A. R.

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Effects of zooplankton carcasses degradation on freshwater bacterial community composition and implications for carbon cycling / O. V. Kolmakova [et al.] // Environ. Microbiol. - 2018, DOI 10.1111/1462-2920.14418 . - Article in press. - ISSN 1462-2912
Аннотация: Non-predatory mortality of zooplankton provides an abundant, yet, little studied source of high quality labile organic matter (LOM) in aquatic ecosystems. Using laboratory microcosms, we followed the decomposition of organic carbon of fresh 13C-labelled Daphnia carcasses by natural bacterioplankton. The experimental setup comprised blank microcosms, that is, artificial lake water without any organic matter additions (B), and microcosms either amended with natural humic matter (H), fresh Daphnia carcasses (D) or both, that is, humic matter and Daphnia carcasses (HD). Most of the carcass carbon was consumed and respired by the bacterial community within 15 days of incubation. A shift in the bacterial community composition shaped by labile carcass carbon and by humic matter was observed. Nevertheless, we did not observe a quantitative change in humic matter degradation by heterotrophic bacteria in the presence of LOM derived from carcasses. However, carcasses were the main factor driving the bacterial community composition suggesting that the presence of large quantities of dead zooplankton might affect the carbon cycling in aquatic ecosystems. Our results imply that organic matter derived from zooplankton carcasses is efficiently remineralized by a highly specific bacterial community, but does not interfere with the bacterial turnover of more refractory humic matter. © 2018 Society for Applied Microbiology and John Wiley & Sons Ltd.

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Держатели документа:
Institute of Biophysics SB RAS, Federal Research Center “Krasnoyarsk Science Center SB RAS”, Krasnoyarsk, Russian Federation
Siberian Federal University, Institute of Fundamental Biology and Biotechnology, Krasnoyarsk, Russian Federation
Department of Experimental Limnology, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany
GFZ German Research Centre for Geosciencess, Section 5.3 Geomicrobiology, Potsdam, Germany
Experimental Phycology and Culture Collection of Algae (SAG), University of Gottingen, Gottingen, Germany
Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany

Доп.точки доступа:
Kolmakova, O. V.; Gladyshev, M. I.; Fonvielle, J. A.; Ganzert, L.; Hornick, T.; Grossart, H. -P.

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10.

Numerical Modeling of Vertical Distribution of Living and Dead Copepods Arctodiaptomus salinus in Salt Lake Shira / A. P. Tolomeev [et al.] // Contemp. Probl. Ecol. - 2018. - Vol. 11, Is. 6. - P543-550, DOI 10.1134/S1995425518060112. - Cited References:25. - This work is part of the joint Russian-German project "Zooplankton Mortality in Lake Ecosystems and Its Potential Contribution to Carbon Mineralization In Pelagial," supported by the Russian Foundation for Basic Research, project no. 16-54-12048 and the German Research Foundation (DFG no. GR-1540/29-1), and partly supported by the Government Task in the framework of the Program of Basic Research of the Russian Federation (theme no. 51.1.1) . - ISSN 1995-4255. - ISSN 1995-4263

РУБ Ecology
Рубрики:
NONPREDATORY MORTALITY
CRUSTACEAN ZOOPLANKTON
SEDIMENT TRAPS
Кл.слова (ненормированные):
zooplankton -- nonpredatory mortality -- numerical modeling -- Arctodiaptomus -- salinus
Аннотация: In deep stratified lakes, the processes of growth and mortality of zooplankton populations result in uneven vertical distributions of living and dead organisms in a water column. The carcasses in the water are removed by sinking, degradation due to microbial decomposition and detritivory, etc. In the case of the epilimnion maximum of zooplankton, provided that the degradation prevails over the sinking, the downward flux of carcasses exponentially decays with depth. This vertical profile of dead organisms, demonstrating the decline in meta- and hypoliminon, can be described by the numerical model presented in this paper. The model approximation of the field data makes it possible to determine non-predator mortality rate m and degradation rate D in relative terms (m/v and D/v, vsinking velocity) or absolute values (with defined v). For the case of the copepod population of Arctodiaptomus salinus in Lake Shira, the calculated m and D (medians of 0.13 and 0.26 day(-1), respectively) were in a good agreement with the literature data. This method also gives the advantage of using the depth-dependent sinking velocity v.

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Scopus
Держатели документа:
Russian Acad Sci, Inst Biophys, Krasnoyarsk Sci Ctr, Siberian Branch, Krasnoyarsk 660036, Russia.
Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Ecohydrol, D-12587 Berlin, Germany.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Natl Acad Sci Belarus Bioresources, Sci & Pract Ctr, Minsk 220072, BELARUS.

Доп.точки доступа:
Tolomeev, A. P.; Kirillin, G.; Dubovskay, O. P.; Buseva, Z. F.; Gladyshev, M. I.; Russian Foundation for Basic Research [16-54-12048]; German Research Foundation (DFG) [GR-1540/29-1]; Russian Federation [51.1.1]

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11.

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

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

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

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

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12.

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,
Смотреть статью,
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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13.

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

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

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

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14.

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

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

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

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

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15.

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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16.

РУБ Fisheries + Zoology
Рубрики:
PHYLOGEOGRAPHY
   POPULATION
   ALBULA
   IDENTIFICATION
   PLESHCHEYEVO
   MTDNA
Кл.слова (ненормированные):
muksun Coregonus muksun -- low-density-rakered form -- high-density-rakered -- form -- morphology -- mitochondrial DNA -- ITS1 -- phylogeny -- Khatanga River
Аннотация: 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.

WOS
Держатели документа:
RAS, IBIW, Papanin Inst Biol Inland Waters, Borok, Russia.
Russian Acad Sci, Inst Biophys, Siberian Branch, IBP,RAS, Krasnoyarsk, Russia.
All Russian Sci Res Inst Fisheries & Oceanog, Krasnoyarsk Branch, Krasnoyarsk, Russia.
Krasnoyarsk State Agr Univ, Krasnoyarsk, Russia.

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

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17.

Zooplankton carcasses stimulate microbial turnover of allochthonous particulate organic matter / D. Neubauer, O. Kolmakova, J. Woodhouse [et al.] // ISME J. - 2021, DOI 10.1038/s41396-020-00883-w. - Cited References:83. - Open Access funding enabled and organized by Projekt DEAL. . - Article in press. - ISSN 1751-7362. - ISSN 1751-7370

РУБ Ecology + Microbiology
Рубрики:
FRESH-WATER
   SEASONAL-CHANGES
   CARBON
   LAKE
   DECOMPOSITION
   DEGRADATION
Аннотация: Carbon turnover in aquatic environments is dependent on biochemical properties of organic matter (OM) and its degradability by the surrounding microbial community. Non-additive interactive effects represent a mechanism where the degradation of biochemically persistent OM is stimulated by the provision of bioavailable OM to the degrading microbial community. Whilst this is well established in terrestrial systems, whether it occurs in aquatic ecosystems remains subject to debate. We hypothesised that OM from zooplankton carcasses can stimulate the degradation of biochemically persistent leaf material, and that this effect is influenced by the daphnia:leaf OM ratio and the complexity of the degrading microbial community. Fresh Daphnia magna carcasses and C-13-labelled maize leaves (Zea mays) were incubated at different ratios (1:1, 1:3 and 1:5) alongside either a complex microbial community (50 mu m) or solely bacteria (0.8 mu m). C-13 stable-isotope measurements of CO2 analyses were combined with phospholipid fatty acids (PLFA) analysis and DNA sequencing to link metabolic activities, biomass and taxonomic composition of the microbial community. Our experiments indicated a significantly higher respiration of leaf-derived C when daphnia-derived OM was most abundant (i.e. daphnia:leaf OM ratio of 1:1). This process was stronger in a complex microbial community, including eukaryotic microorganisms, than a solely bacterial community. We concluded that non-additive interactive effects were a function of increased C-N chemodiversity and microbial complexity, with the highest net respiration to be expected when chemodiversity is high and the degrading community complex. This study indicates that identifying the interactions and processes of OM degradation is one important key for a deeper understanding of aquatic and thus global carbon cycle.

WOS
Держатели документа:
Leibniz Inst Freshwater Ecol & Inland Fisheries I, Dept Expt Limnol, D-16775 Stechlin, Germany.
Potsdam Univ, Inst Biochem & Biol, D-14476 Potsdam, Germany.
RAS, Inst Biophys SB, Fed Res Ctr, Krasnoyarsk Sci Ctr, Krasnoyarsk, Russia.
Siberian Fed Univ, Inst Fundamental Biol & Biotechnol, Krasnoyarsk, Russia.
Helmholtz Ctr Potsdam, Sect Organ Geochem 32, GFZ German Res Ctr Geosci, D-14473 Potsdam, Germany.
Leibniz Inst Freshwater Ecol & Inland Fisheries I, Dept Chem Analyt & Biogeochem, Muggelseedamm 310, D-12587 Berlin, Germany.

Доп.точки доступа:
Neubauer, Darshan; Kolmakova, Olesya; Woodhouse, Jason; Taube, Robert; Mangelsdorf, Kai; Gladyshev, Michail; Premke, Katrin; Grossart, Hans-Peter; Projekt DEAL

Найти похожие

18.

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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19.

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. - Cited References:45. - This work was conceived at the Global Lake Ecological Observatory Network (GLEON), and benefited from continued participation and travel support from GLEON. This manuscript is dedicated to the late Karl Havens and Alon Rimmer, who provided data for this manuscript. Funding and support for this work came from the following sources: the Belarus Republican Foundation for Fundamental Research; the IGB Long-term Ecological Research Programme; SOERE OLA, AnaEE-France, INRA Thonon les Bains, SILA (Syndicat Mixte du Lac d'Annecy), CISALB (Comite Intercommunautaire pour l'Assainissement du Lac du Bourget), and CIPEL (Commission Internationale pour la protection des eaux du Leman); Shiga Prefectural Fisheries Experiment Station (SPFES); Castle Lake Environmental Research and Education Program, University of Nevada at Reno and UC Davis; the Flathead Lake Monitoring program funded through a consortium of state and private funds, and thank the generous citizens of Flathead Lake for their continued support of lake monitoring; the Institute for water ecology, fish biology and lake research and the Institute for Limnology of the Austrian Academy of Sciences (until 2011), and acknowledge the sampling efforts by many individuals over the long period of investigation, especially H. Gassner, M. Luger, H. Ficker, and R. Kurmayer; the EC project "Response of European Freshwater Lakes to Environmental and Climatic Change" (REFLECT, ENV4-CT97-0453), the EC-project "Climate Impacts on European Lakes" (CLIME, EVK1-CT-2002-00121), the project "Risk Analysis of Direct and Indirect Climate effects on deep Austrian Lake Ecosystems" (RADICAL) funded by the Austrian Climate and Energy Fund (No. K09ACK00046) -Austrian Climate Research Programme (ACRP, http://www.klimafonds.gv.at); O. Garcia and E. Bocel for data analysis and management; D. Cabrera, M.W. Dix, G. Ochaeta, S. van Tuylen, M. Orozco, E. Symonds for sampling efforts; NSF grant No. 0947096 to E. Rejmankova, U.S. PeaceCorps and Ministerio de Ambiente y Recursos Naturales of Guatemala; H. Swain, L. Battoe, K. Main, N. Deyrup (Archbold Biological Station), the Florida Lakewatch program, E. Gaiser (Florida International University); the Crater Lake National Park Long-Term Limnological Monitoring Program; the City of Tulsa (R. West and A. Johnson), the Grand River Dam Authority (R. M. Zamor), W.M. Matthews and US ACE (T. Clyde), and the Oklahoma Water Resources Board; Bay of Plenty Regional Council; Ministry of Business, Innovation and Employment: Enhancing the Health and Resilience of New Zealand lakes (UOWX1503); the field and laboratory staff of the South Florida Water Management District for collecting and analyzing the samples; the Norwegian Water Resources and Energy Directorate (NVE), by courtesy of A. S. Kvambekk; the Lake Champlain Long-term Monitoring program (VT DEC and NY DEC); the National Capital Authority, ACT, Australia; Ontario Ministry of Environment, Conservation and Parks; FirstLight Power Resources and Friends of the Lake, especially G. Bollard and R. White; the Finnish Environment Institute SYKE database (Hertta) and S. Mitikka; N. Spinelli and the Lake Wallenpaupack Watershed Management District; Lakes Heywood, Moss, and Sombre: Long-Term Monitoring of Signy Lake Chemistry by BAS 1963-2004. Ref: GB/NERC/BAS/AEDC/00063, and dataset supplied by the Polar Data Centre under Open Government License (c) NERC-BAS, Lake Nkugute: Beadle (1966), CLANIMAE project funded by the Belgian Science Policy Office; Dr. L.; Garibaldi; NSF awards #1418698 and North Temperate Lakes LTER NTL-LTER #1440297; NSERC Canada, Canada Research Chairs, Canada Foundation for Innovation, Province of Saskatchewan, University of Regina, and Queen's University Belfast; Commissione Internazionale per la protezione delle acque italo-svizzere, Ufficio della protezione delle acque e dell'approvvigionamento idrico del Canton Ticino; KamchatNIRO scientists; Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCaPE programme delivering National Capability; U.S. NSF Arctic LTER DEB1637459; Belgian Science Policy (Choltic, Climlake, Climfish); Ontario Ministry of Natural Resources' Harkness Laboratory of Fisheries Research, especially T. Middel; Max-Planck-Institute for Limnology Plon; staff at Erken Laboratory; Mohonk Preserve and D. Smiley; Lake Sunapee Protective Association; KLL database; International Commission for the Protection of Swiss-Italian Waters (CIPAIS) and the LTER (Long Term Ecological Research) Italian network, site "Southern Alpine lakes", LTER_EU_IT_008; staff and students at MECP's Dorset Environmental Science Centre; the LTER (Long-Term Ecological Research) Italian network, site "Southern Alpine lakes", IT08-005-A (http://www.lteritalia.it), with the support of the ARPA Veneto; Prof. L. Chapman, McGill University (Montreal, Quebec, Canada); Amt fur Abfall, Wasser, Energie und Luft (AWEL) of the Canton of Zurich; grants of RSCF project #18-44-06201 and #20-64-46003, of Russian Ministry of Higher Education and Research (projects. FZZE-2020-0026;. FZZE-2020-0023), and of Foundation for support of applied ecological studies "Lake Baikal" (https://baikalfoundation.ru/project/tochka-1/); National Science Foundation Long Term Research in Environmental Biology program (DEB-1242626); the National Park Service (the Inventory and Monitoring Program as well as the Air Resources Division) and Acadia National Park and the Acadia National Park monitoring program; Gordon and Betty Moore Foundation, the Andrew Mellon Foundation, the US National Science Foundation and the Bristol Bay salmon processors; J. Franzoi, G. Larsen, and S. Morales, and the LTSER platform Tyrolean Alps, which belongs to the national and international long-term ecological research network (LTER-Austria, LTER Europe and ILTER); Institut fur Seenforschung, Langenargen (Internationale Gewasserschutzkommission fur den Bodensee -IGKB); University of Michigan Biological Station (A. Schubel) and Cooperative Institute for Great Lakes Research (R. Miller); the Belgian Science Policy Office (BELSPO) is acknowledged for supporting research on Lake Kivu through the research project EAGLES (CD/AR/02 A); US National Science Foundation awards 9318452, 9726877, 0235755, 0743192 and 1255159; West Coast Regional Council, the Bay of Plenty Regional Council, and Waikato Regional Council, and NIWA; D. Schindler (funding and data access) and B. Parker (logistical support and data management); Swedish Infrastructure for Ecosystem Science (SITES) and the Swedish Research Council under the grant no 2017-00635; NSF DEB 1754276 and NSF DEB 1950170, the Ohio Eminent Scholar in Ecosystem Ecology fund, and Lacawac Sanctuary and Biological Field Station; Russian Foundation for Basic Research, grant. 19-04-00362 A and. 19-05-00428. . - ISSN 2052-4463

РУБ Multidisciplinary Sciences
Рубрики:
CLIMATE-CHANGE
   THERMAL STRATIFICATION
   OXYGEN DEPLETION
   FISH
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.

WOS
Держатели документа:
Miami Univ, Dept Biol, Oxford, OH 45056 USA.
Belarusian State Univ, Fac Biol, Minsk, BELARUS.
Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Ecosyst Res, Berlin, Germany.
Univ Savoie Mont Blanc, INRAE, CARRTEL, Thonon Les Bains, France.
Univ Comahue INIBIOMA, CONICET, Neuquen, Argentina.
Univ Shiga Prefecture, Shiga, Japan.
Univ Nevada, Global Water Ctr, Reno, NV 89557 USA.
Uppsala Univ, Dept Ecol & Genet Limnol, Uppsala, Sweden.
Univ Montana, Flathead Lake Biol Stn, Polson, MT 59860 USA.
Univ Valle Guatemala, Ctr Estudios Atitlan, Guatemala City, Guatemala.
Univ Innsbruck, Res Dept Limnol Mondsee, Mondsee, Austria.
Daniel Smiley Res Ctr, Mohonk Preserve, New Paltz, NY USA.
Lake Ecosyst Grp, UK Ctr Ecol & Hydrol, Lancaster, England.
Seqwater, Ipswich, Qld, Australia.
Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA.
Inst Environm, Miami, FL USA.
Natl Pk Serv, Crater Lake Natl Pk, Crater Lake, OR USA.
Univ Oklahoma, Dept Biol, Norman, OK 73019 USA.
Griffith Univ, Australian Rivers Inst, Nathan, Qld, Australia.
Univ Florida, Gainesville, FL USA.
Univ Oslo, Dept Biosci, Oslo, Norway.
Inst Seenforschung, LUBW Landesanstalt Umwelt Messungen & Naturschutz, Langenargen, Germany.
IISD Expt Lake Area Inc, Winnipeg, MB, Canada.
BELSPO, FAO, Brussels, Belgium.
Univ Eastern Finland, Dept Environm & Biol Sci, Joensuu, Finland.
Swiss Fed Inst Aquat Sci & Technol, Dept Aquat Ecol, Dubendorf, Switzerland.
CSIRO, Land & Water, Canberra, ACT, Australia.
Laurentian Univ, Cooperat Freshwater Ecol Unit, Sudbury, ON, Canada.
Fairfield Univ, Dept Biol, Fairfield, CT 06430 USA.
Univ Minnesota, Itasca Biol Stn & Labs, Lake Itasca, MN USA.
Finnish Environm Inst SYKE, Freshwater Ctr, Helsinki, Finland.
Russian Acad Sci, Lab Ecol Water Communities & Invas, AN Severtsov Inst Ecol & Evolut, Moscow, Russia.
Zurich Water Supply, Zurich, Switzerland.
Univ Regina, Inst Environm Change & Soc, Regina, SK, Canada.
Milano Bicocca Univ, Milan, Italy.
Univ Appl Sci & Arts Southern Switzerland, Dept Environm Construct & Design, Canobbio, Switzerland.
Russian Fed Res Inst Fisheries & Oceanog, Kamchatka Res Inst Fisheries & Oceanog, Kamchatka Branch, Petropavlovsk Kamchatski, Russia.
Univ Wisconsin, Ctr Limnol, Boulder Jct, WI USA.
Inst Aquat Ecol & Fisheries Management, Fed Agcy Water Management, Mondsee, Austria.
Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
Univ Waikato, Environm Res Inst, Hamilton, New Zealand.
Ryerson Univ, Dept Biol & Chem, Toronto, ON, Canada.
Univ Hamburg, Dept Biol, Hamburg, Germany.
Dominion Diamond Mines, Environm Dept, Calgary, AB, Canada.
Ontario Minist Environm Conservat & Pk, Dorset Environm Sci Ctr, Dorset, ON, Canada.
Irkutsk State Univ, Inst Biol, Irkutsk, Russia.
Univ Liege, Inst Phys B5A, Chem Oceanog Unit, Liege, Belgium.
SUNY Coll New Paltz, Dept Biol, New Paltz, NY USA.
Israel Oceanog & Limnol Res, Kinneret Limnol Lab, Migdal, Israel.
CNR Water Res Inst, Verbania, Pallanza, Italy.
RAS, Inst Biophys, Krasnoyarsk Sci Ctr, SB, Krasnoyarsk, Russia.
Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA.
Fdn Edmund Mach, Res & Innovat Ctr, San Michele All Adige, Italy.
Univ Maine, Climate Change Inst, Orono, ME USA.
Univ Turku, Turku, Finland.
Univ Laval, Dept Biol, Quebec City, PQ, Canada.
Univ Laval, Dept Geog, Quebec City, PQ, Canada.
Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA.
Tech Univ Kenya, Dept Geosci & Environm, Nairobi, Kenya.
Univ Innsbruck, Dept Ecol, Innsbruck, Austria.
Univ Konstanz, Limnol Inst, Constance, Germany.
Dickinson Coll, Dept Environm Sci, Carlisle, PA 17013 USA.
Archbold Biol Stn, Venus, FL USA.
Univ Michigan, Biol Stn, Pellston, MI USA.
Vrije Univ Brussel, Dept Hydrol & Hydraul Engn, Brussels, Belgium.
Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland.
Natl Inst Water & Atmospher Res, Hamilton, New Zealand.
Univ Alberta, Dept Biol Sci, Edmonton, AB, Canada.
Cary Inst Ecosyst Studies, Millbrook, NY USA.

Доп.точки доступа:
Pilla, Rachel M.; Mette, Elizabeth M.; Williamson, Craig E.; Adamovich, Boris V.; Adrian, Rita; Anneville, Orlane; Balseiro, Esteban; Ban, Syuhei; Chandra, Sudeep; Colom-Montero, William; Devlin, Shawn P.; Dix, Margaret A.; Dokulil, Martin T.; Feldsine, Natalie A.; Feuchtmayr, Heidrun; Fogarty, Natalie K.; Gaiser, Evelyn E.; Girdner, Scott F.; Gonzalez, Maria J.; Hambright, K. David; Hamilton, David P.; Havens, Karl; Hessen, Dag O.; Hetzenauer, Harald; Higgins, Scott N.; Huttula, Timo H.; Huuskonen, Hannu; Isles, Peter D. F.; Joehnk, Klaus D.; Keller, Wendel Bill; Klug, Jen; Knoll, Lesley B.; Korhonen, Johanna; Korovchinsky, Nikolai M.; Koster, Oliver; Kraemer, Benjamin M.; Leavitt, Peter R.; Leoni, Barbara; Lepori, Fabio; Lepskaya, Ekaterina V.; Lottig, Noah R.; Luger, Martin S.; Maberly, Stephen C.; MacIntyre, Sally; McBride, Chris; McIntyre, Peter; Melles, Stephanie J.; Modenutti, Beatriz; Muller-Navarra, L.; Pacholski, Laura; Paterson, Andrew M.; Pierson, Don C.; Pislegina, Helen V.; Plisnier, Pierre-Denis; Richardson, David C.; Rimmer, Alon; Rogora, Michela; Rogozin, Denis Y.; Rusak, James A.; Rusanovskaya, Olga O.; Sadro, Steve; Salmaso, Nico; Saros, Jasmine E.; Sarvala, Jouko; Saulnier-Talbot, Emilie; Schindler, Daniel E.; Shimaraeva, Svetlana V.; Silow, Eugene A.; Sitoki, Lewis M.; Sommaruga, Ruben; Straile, Dietmar; Strock, Kristin E.; Swain, Hilary; Tallant, Jason M.; Thiery, Wim; Timofeyev, Maxim A.; Tolomeev, Alexander P.; Tominaga, Koji; Vanni, Michael J.; Verburg, Piet; Vinebrooke, Rolf D.; Wanzenbock, Josef; Weathers, Kathleen; Weyhenmeyer, Gesa A.; Zadereev, Egor S.; Zhukova, Tatyana V.; Johnk, Klaus; Belarus Republican Foundation for Fundamental Research; AnaEE-France; SILA (Syndicat Mixte du Lac d'Annecy); Castle Lake Environmental Research and Education Program, University of Nevada at Reno; EC project "Response of European Freshwater Lakes [ENV4-CT97-0453]; EC-project "Climate Impacts on European Lakes" [EVK1-CT-2002-00121]; Austrian Climate and Energy Fund [K09ACK00046]; NSFNational Science Foundation (NSF) [DEB 1950170]; Crater Lake National Park Long-Term Limnological Monitoring Program; Ministry of Business, Innovation and Employment: Enhancing the Health and Resilience of New Zealand lakes [UOWX1503]; National Capital Authority; ACT, Australia [GB/NERC/BAS/AEDC/00063]; Belgian Science Policy OfficeBelgian Federal Science Policy Office; North Temperate Lakes LTER NTL-LTER [1440297]; NSERC CanadaNatural Sciences and Engineering Research Council of Canada (NSERC); Canada Research Chairs, Canada Foundation for InnovationCanada Foundation for InnovationCanada Research Chairs; University of Regina; Commissione Internazionale per la protezione delle acque italo-svizzere; Natural Environment Research CouncilUK Research & Innovation (UKRI)Natural Environment Research Council (NERC) [NE/R016429/1]; U.S. NSF Arctic LTER [DEB1637459, LTER_EU_IT_008]; Canton of Zurich [18-44-06201, 20-64-46003]; Russian Ministry of Higher Education and Research [FZZE-2020-0026, FZZE-2020-0023]; National Science Foundation Long Term Research in Environmental Biology program [DEB-1242626]; National Park Service (the Inventory and Monitoring Program); Acadia National Park monitoring program; Gordon and Betty Moore FoundationGordon and Betty Moore Foundation; Andrew Mellon Foundation; US National Science FoundationNational Science Foundation (NSF) [9318452, 9726877, 0235755, 0743192, 1255159]; Institut fur Seenforschung, Langenargen (Internationale Gewasserschutzkommission fur den Bodensee -IGKB); University of Michigan Biological StationUniversity of Michigan System; Belgian Science Policy Office (BELSPO)Belgian Federal Science Policy Office [CD/AR/02 A]; Waikato Regional Council; NIWA; Swedish Research CouncilSwedish Research CouncilEuropean Commission [2017-00635, NSF DEB 1754276]; Lacawac Sanctuary and Biological Field Station; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [19-04-00362 A, 19-05-00428]

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