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1.


   
    A mathematical model of "plants-microorganisms" interaction on complete mineral medium and under nitrogen limitation / T. I. Pisman [et al.] // Advances in Space Research. - 1999. - Vol. 24, Is. 3. - P383-387 . - ISSN 0273-1177
Кл.слова (ненормированные):
nitrogen -- ecological modeling -- interspecific interaction -- nutrient limitation -- plant -- rhizosphere -- article -- biological model -- biomass -- comparative study -- culture medium -- drug effect -- growth, development and aging -- mathematics -- microbiology -- plant root -- Pseudomonas fluorescens -- sweating -- wheat -- Biomass -- Culture Media -- Mathematics -- Models, Biological -- Nitrogen -- Plant Roots -- Plant Transpiration -- Pseudomonas fluorescens -- Triticum
Аннотация: A mathematical model concerning the interaction of plants and rhizospheric microorganisms on complete mineral medium and under nitrogen limitation has been constructed. The model takes into account the closeness of plants and microorganisms in terms of the matter released by the plant and consumed by the microorganisms. The effect of rhizospheric microorganisms on plant growth with normal carbon dioxide and complete mineral medium has been demonstrated. Plants interacting with microorganisms have a greater biomass than plants growing without microorganisms. Wheat growth stimulation by metabolites of rhizospheric microorganisms under laboratory conditions on artificial soil has been experimentally demonstrated (Pechurkin, 1997). Under nitrogen limitation , the biomass of plants, with or without microorganisms, is identical, and is substantially reduced as compared with the medium with standard nitrogen. В© 1999 COSPAR. Published by Elsevier Science Ltd.

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

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

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2.


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

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

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

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3.


   
    Day plots of bacterial magnetite from sediments of shira lake (Khakassia, Russia) / S. V. Semenov [et al.] // J. Sib. Fed. Univ. Math. Phys. - 2017. - Vol. 10, Is. 2. - P252-256, DOI 10.17516/1997-1397-2017-10-2-252-256 . - ISSN 1997-1397
Кл.слова (ненормированные):
Bacterial magnetite -- Magnetic hysteresis -- Nanoparticles
Аннотация: The domain state of magnetite detected in sediments of Shira lake (Khakassia, Russia) was examined by means of magnetic hysteresis. Analysis of experimental data obtained on samples from different parts of bottom sediment cores in terms of Day plots allowed us to conclude that magnetite particles are in the pseudo-single-domain state. This indicates respectively small size of magnetite particles (< 100 nm) and reveals their bacterial origin. Biogenic magnetite buried in the bottom sediments can indicate the climatic changes in the Shira lake level in the Late Holocene. © Siberian Federal University. All rights reserved.

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Держатели документа:
Kirensky Institute of Physics SB RAS, Akademgorodok, 50/38, Krasnoyarsk, Russian Federation
Siberian Federal University, Svobodny, 79, Krasnoyarsk, Russian Federation
Institute of Biophysics SB RAS, Akademgorodok, 50/50, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Semenov, S. V.; Balaev, D. A.; Shaykhutdinov, K. A.; Rogozin, D. Y.

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4.


   
    Experimental and mathematical models for small aqueous closed ecosystems with spatially separated components / T. I. Pisman [et al.] // Advances in Space Research. - 1999. - Vol. 24, Is. 3. - P361-366, DOI 10.1016/S0273-1177(99)00486-X . - ISSN 0273-1177
Кл.слова (ненормированные):
carbon dioxide -- nitrogen -- oxygen -- quaternary ammonium derivative -- aquatic environment -- artificial ecosystem -- ecological modeling -- trophic interaction -- animal -- article -- biological model -- Candida -- Chlorella -- fermentation -- mathematics -- metabolism -- microclimate -- Paramecium -- photosynthesis -- Animals -- Candida -- Carbon Dioxide -- Chlorella -- Ecological Systems, Closed -- Fermentation -- Mathematics -- Models, Biological -- Nitrogen -- Oxygen -- Paramecium -- Photosynthesis -- Quaternary Ammonium Compounds
Аннотация: Experimental and theoretical models of closed 'autotroph-heteretroph' (chlorella-yeast, chlorella- protozoa) ecosystems with spatially separated components have been created and studied. The chart of flows and interaction of components of gas-closed 'chlorella-yeast' system have formed the basis describe mathematically the functioning of the given system, experimental results have been found to agree with computer solution of the problem in terms of quality. Investigation of the experimental model of the 'producer-consumer' trophic chain demonstrated the role of protozoa in nitrogen turnover. 'Production-decomposition' and 'production-grazing-decomposition' cycle models has been theoretically analyzed and compared. The predator has been shown to be a more intensive mineralizer than the reducer component.

Scopus
Держатели документа:
Institute of Biophysics (Russian Academy of Sciences, Siberian Branch), Krasnoyarsk 6600036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

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

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5.


   
    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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WOS
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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6.


   
    Modelling of genetically engineered microorganisms introduction in closed artificial microcosms / N. S. Pechurkin [et al.] // Advances in Space Research. - 1999. - Vol. 24, Is. 3. - P335-341, DOI 10.1016/S0273-1177(99)00320-8 . - ISSN 0273-1177
Кл.слова (ненормированные):
aquatic environment -- artificial ecosystem -- ecological modeling -- genetically modified organism -- alga -- animal -- article -- bacterial count -- bacterial gene -- biological model -- biomass -- Escherichia coli -- feasibility study -- genetic engineering -- genetics -- growth, development and aging -- microbiology -- microclimate -- Photobacterium -- plasmid -- protozoon -- time -- yeast -- Algae -- Animals -- Biomass -- Colony Count, Microbial -- Ecological Systems, Closed -- Escherichia coli -- Feasibility Studies -- Genes, Bacterial -- Genetic Engineering -- Models, Biological -- Photobacterium -- Plasmids -- Protozoa -- Time Factors -- Water Microbiology -- Yeasts
Аннотация: The possibility of introducing genetically engineered microorganisms (GEM) into simple biotic cycles of laboratory water microcosms was investigated. The survival of the recombinant strain Escherichia coli Z905 (Ap(r), Lux+) in microcosms depends on the type of model ecosystems. During the absence of algae blooming in the model ecosystem, the part of plasmid-containing cells E.coli decreased fast, and the structure of the plasmid was also modified. In conditions of algae blooming (Ankistrodesmus sp.) an almost total maintenance of plasmid-containing cells was observed in E.coli population. A mathematics model of GEM's behavior in water ecosystems with different level of complexity has been formulated. Mechanisms causing the difference in luminescent exhibition of different species are discussed, and attempts are made to forecast the GEM's behavior in water ecosystems.

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

Доп.точки доступа:
Pechurkin, N.S.; Brilkov, A.V.; Ganusov, V.V.; Kargatova, T.V.; Maksimova, E.E.; Popova, L.Yu.

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7.


   
    One-dimensional Model for Studying Seasonal Changes of Vertical Structure of Salt Lake Uchum / V. M. Belolipetskii [et al.] // J. Sib. Fed. Univ.-Math. Phys. - 2019. - Vol. 12, Is. 1. - P100-108, DOI 10.17516/1997-1397-2019-12-1-100-108. - Cited References:19. - The work was supported by the RFBR grants (16-05-00091) and Russian Foundation for Basic Research and the government of the region of the Russian Federation, grant 18-45-243002. . - ISSN 1997-1397. - ISSN 2313-6022
РУБ Mathematics
Рубрики:
CIRCULATION
Кл.слова (ненормированные):
salt lake -- one-dimensioanal vertical model -- temperature and salinity -- profiles of water
Аннотация: Many salt lakes are meromictic, in which the water column is not mixed to the bottom for at least one year. In the stratified lake, the upper (epilimnion) and deep (hypolimnion) layers are distinguished, in which the density gradients are small. Between them is a layer of water (metalimnion), within which the density gradient is great. In the near-bottom layer, hydrogen sulphide accumulates and there is no oxygen. One-dimensional mathematical models are used to determine the dynamics of the vertical thermohaline structure of the salt lake Uchum. Two periods in the annual regime are considered: the period of the absence of the ice cover (IC) and the period with the existence of the IC. The vertical distributions of temperature and water salinity in Lake Uchum have been calculated in different seasons. The results of the calculations are consistent with the data of field measurements.

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Держатели документа:
Inst Computat Modelling SB RAS, Akademgorodok 50-44, Krasnoyarsk 660036, Russia.
Inst Biophys SB RAS, Akademgorodok 50-50, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Svobodny 79, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Belolipetskii, Victor M.; Genova, Svetlana N.; Degermendzhy, Andrey G.; Zykov, Vladimir V.; Rogozin, Denis Yu; RFBR [16-05-00091]; Russian Foundation for Basic Research; government of the region of the Russian Federation [18-45-243002]

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8.


   
    Perspectives of different type biological life support systems (BLSS) usage in space missions / S. I. Bartsev [et al.] // Acta Astronautica. - 1996. - Vol. 39, Is. 8. - P617-622, DOI 10.1016/S0094-5765(97)00012-X . - ISSN 0094-5765
Кл.слова (ненормированные):
article -- bacterium -- comparative study -- construction work and architectural phenomena -- environmental planning -- green alga -- human -- instrumentation -- mathematics -- microclimate -- moon -- plant -- quality of life -- space flight -- standard -- weightlessness -- Algae, Green -- Bacteria -- Ecological Systems, Closed -- Environment Design -- Environment, Controlled -- Facility Design and Construction -- Humans -- Life Support Systems -- Mathematics -- Moon -- Plants -- Quality of Life -- Space Flight -- Weightlessness -- Biology -- Life support systems (spacecraft) -- Spreadsheets -- Biological life support systems (BLSS) -- Lunar missions
Аннотация: In the paper an attempt is made to combine three important criteria of LSS comparison: minimum mass, maximum safety and maximum quality of life. Well-known types of BLSS were considered: with higher plant, higher plants and mushrooms, microalgae, and hydrogen-oxidizing bacteria. These BLSSs were compared in terms of "integrated" mass for the case of a vegetarian diet and a "normal" one (with animal proteins and fats). It was shown that the BLSS with higher plants and incineration of wastes becomes the best when the exploitation period is more than 1 yr. The dependence of higher plants' LSS structure on operation time was found. Comparison of BLSSs in terms of integral reliability (this criterion includes mass and quality of life criteria) for a lunar base scenario showed that BLSSs with higher plants are advantageous in reliability and comfort. This comparison was made for achieved level of technology of closing and for perspective one. В© 1997 Elsevier Science Ltd.

Scopus
Держатели документа:
Biophys. Inst. of SB RAS, Krasnoyarsk, 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Bartsev, S.I.; Gitelson, J.I.; Lisovsky, G.M.; Mezhevikin, V.V.; Okhonin, V.A.

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9.


   
    Physical and chemical properties of modified nanodiamonds [Text] / A. P. Puzyr [et al.] ; ed.: DM Gruen, OA Shenderova, erova, OA She // Synthesis, Properties and Applications of Ultrananocrystalline Diamond. Ser. NATO SCIENCE SERIES, SERIES II: MATHEMATICS, PHYSICS AND CHEMISTRY : SPRINGER, 2005. - Vol. 192: NATO Advanced Research Workshop on Synthesis, Properties and Applications of Ultrananocrystalline Diamond (JUN 07-10, 2004, St Petersburg, RUSSIA). - P261-270. - Cited References: 15 . - ISBN 1-4020-3320-6
РУБ Chemistry, Physical + Materials Science, Multidisciplinary

Кл.слова (ненормированные):
nanodiamond -- modified nanodiamonds -- hydrosols -- colloidal stability -- electrophoresis -- powder fractioning -- precursors for CVD -- electron field emission
Аннотация: A unique technology of nanodiamond surface modification is suggested which allows to separation of commercial nanodiamond powders into two fractions (F1 and 172), each possessing absolutely new properties as compared to the initial powder. F1 and F2 differ in size characteristics. Initial and modified nanodiamonds contain iron impurities and two types of nondiamond carbon. The color of the powders and hydrosols does not correlate with the content of non-diamond carbon. According to the EPR data, modified nanodiamonds possess a high level of diamond matrix shielding, and the extracted fractions differ in width of the basic transition area and in the SHF energy adsorption ratio. Due to this, F1 can be applied as precursors for CVD growth of nanocrystalline diamond and as field electron emission tips.

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

Доп.точки доступа:
Puzyr, A.P.; Bondar, V.S.; Bukayemsky, A.A.; Selyutin, G.E.; Kargin, V.F.; Gruen, DM \ed.\; Shenderova, OA \ed.\; She, erova, OA \ed.\

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10.


   
    Trends in microevolution of microbial populations in open systems / A. V. Brilkov [et al.] // Doklady Biochemistry and Biophysics. - 2005. - Vol. 404, Is. 1-6. - P349-352, DOI 10.1007/s10628-005-0111-x . - ISSN 1607-6729
Кл.слова (ненормированные):
article -- bacterial phenomena and functions -- bacterium -- biological model -- culture technique -- Escherichia coli -- evolution -- genetics -- growth, development and aging -- mathematics -- methodology -- mutation -- nanotechnology -- pH -- physiology -- population dynamics -- time -- Bacteria -- Bacterial Physiology -- Cell Culture Techniques -- Escherichia coli -- Evolution -- Hydrogen-Ion Concentration -- Mathematics -- Models, Biological -- Mutation -- Nanotechnology -- Population Dynamics -- Time Factors

Scopus
Держатели документа:
Krasnoyarsk State University, Krasnoyarsk, 660062, Russian Federation
Institute of Biophysics, Siberian Division, Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Brilkov, A.V.; Loginov, I.A.; Morozova, E.V.; Pechurkin, N.S.

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