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1.


   
    The vertical structure of a pelagic community in the tropical ocean / M. E. Vinogradov, I. I. Gitelzon, Yu. I. Sorokin // Marine Biology. - 1970. - Vol. 6, Is. 3. - P187-194, DOI 10.1007/BF00347226 . - ISSN 0025-3162
Аннотация: The vertical structure of the ecosystem in the euphotic zone of the western Equatorial Pacific has been studied. The studies were based on a continuous sounding of the bioluminescence field, with simultaneous, vertically aimed sampling made with the aid of a 5l water bottle and plankton nets. The bioluminescence field has a two-maxima structure with a more pronounced and permanent lower maximum found in the oligotrophic regions as deep as 60 to 100 m. In the narrow (10 m) layer of maximum bioluminescence, the concentration of zooplankton, as well as the concentration, activity and production of bacteria and phytoplankton, are several times higher than those in immediately adjacent waters at greater or lesser depth. At the same time, the concentration of nutrient salts in that layer diminishes sharply and approaches zero in the overlying water. Analysis of the data obtained shows that the production processes above the lower maximum layer are dependent not only on the turbulent influx of nutrient salts from the underlying layers, but also on the horizontal supply from the zone of upwelling. A pelagic community, in its different time aspects from the moment of water ascending until its sinking in the convergence zone, is suggested as a common system for modelling. В© 1970 Springer-Verlag.

Scopus
Держатели документа:
P. P. Shirshov Institute of Oceanology, Academy of Sciences of the USSR, Moscow, Russia
Siberian Division of Academy of Sciences of the USSR, Institute of Physics, Krasnoyarsk, Russia
Institute of Freshwater Biology, Academy of Sciences of the USSR, Borok, Russia : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Vinogradov, M.E.; Gitelzon, I.I.; Sorokin, Yu.I.

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2.
^a343.17.03^2VINITI
П 31


    Печуркин, Н. С.
    Биофизические исследования популяций микроорганизмов [Текст] : научное издание / Н. С. Печуркин, А. В. Брильков // Анализ роста популяций биофиз. методами. - Новосибирск, 1984. - С. 16-21
ГРНТИ
РУБ 343.17.03
Рубрики:
БАКТЕРИИ
   ESCHERICHIA COLI

   МИКРООРГАНИЗМЫ

   ЭКОСИСТЕМЫ

   ДИНАМИКА ПОПУЛЯЦИЙ

   БИОФИЗИЧЕСКИЕ ИССЛЕДОВАНИЯ

   МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ

   MATHEMATIC MODELLING

   BIOPHYSICA

: 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Брильков, А.В.

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3.


   
    Ecological biophysics and its role in study of aquatic ecosystems / I. I. Gitel'zon [et al.] // Biophysics. - 1993. - Vol. 38, Is. 6. - P1099-1108 . - ISSN 0006-3509
Аннотация: A concept is formulated on ecological and biophysics as a scientific discipline which studies physical processes and phenomena resulting from the functioning of live supra-organism systems. Three main directions of ecological biophysics are defined: creation of methods of monitoring ecosystems on the basis of probing biophysical fields (fields of bioluminescence and fluorescence); mathematical and physical modelling; and study of the role of live organisms in hydrophysical processes on the ecosystem scale. Examples are given of the realization of the ecologo-biophysical approach in research into the ecosystems of the world ocean, Lake Baikal and the Dnieper and Yenisei reservoirs. В© 1994.

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

Доп.точки доступа:
Gitel'zon, I.I.; Gladyshev, M.I.; Degermendzhi, A.G.; Levin, L.A.; Sid'ko, F.Ya.

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4.


   
    Theory, computational method and software for prognosis of migration and distribution of radioactive matters in river ecosystem [Text] / A. G. Degermendzhy, L. G. Kosolapova, P. V. Vlasik ; ed. AA Aldama [et al.] // COMPUTATIONAL METHODS IN WATER RESOURCES XI, VOL 2: COMPUTATIONAL METHODS IN SURFACE FLOW AND TRANSPORT PROBLEMS : COMPUTATIONAL MECHANICS PUBLICATIONS LTD, 1996. - 11th International Conference on Computational Methods in Water Resources (CMWR 96) (JUL, 1996, CANCUN, MEXICO). - P277-284. - Cited References: 0 . - 8. - ISBN 1-85312-487-7
РУБ Mathematics, Applied + Water Resources

Кл.слова (ненормированные):
mathematical modelling -- migration of radionuclides -- river ecosystem

Держатели документа:
RUSSIAN ACAD SCI,INST BIOPHYS,ACAD GORODOK,KRASNOYARSK 660026,RUSSIA : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Degermendzhy, A.G.; Kosolapova, L.G.; Vlasik, P.V.; Aldama, AA \ed.\; Aparicio, J \ed.\; Brebbia, CA \ed.\; Gray, WG \ed.\; Herrera, I \ed.\; Herrer, I \ed.\

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5.


   
    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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6.


   
    Application of satellite data for investigation of dynamic processes in inland water bodies: Lake Shira (Khakasia, Siberia), a case study / A. P. Shevyrnogov, A. V. Kartushinsky, G. S. Vysotskaya // Aquatic Ecology. - 2002. - Vol. 36, Is. 2. - P153-163, DOI 10.1023/A:1015658927683 . - ISSN 1386-2588
Кл.слова (ненормированные):
Modelling -- Phytopigments -- Satellite data -- Satellite equipment -- Software -- Temperature -- AVHRR -- hydrodynamics -- lake -- limnology -- remote sensing -- saline lake -- satellite data -- water temperature -- Russian Federation
Аннотация: This work describes avenues to use satellite information to analyse dynamic processes in aquatic ecosystems. Information for this analysis, was retrieved from AVHRR satellite sensor data. This information consisteds of time series of images of radiation temperature and turbidity. We expect this information will be of great value in analysing inland water bodies. Methods to process satellite information using original software and data processing techniques are proposed. For the investigation of the process and analyses of satellite information Shira Lake (Khakasia, Siberia) was used as a case study. To study the variability of the surface temperature and turbidity of the Lake in summer, the satellite and ground-truth data of the lake was applied. This study represents the first evaluation of the dynamic processes for Lake Shira based on satellite, ground-truth and modelling data. We developed algorithms and software to process satellite images to enable the reconstruction of time dependence of temperature and spectral reflectance of water bodies in the visible range, and to make computer-animated films visualising the spatial and temporal dynamics of the study parameters. The analyses of morphometric, meteorological and hydrological characteristics of Lake Shira have provided a realistic opportunity for processing the satellite information and to develop numerical models of variability of the hydrological regime of the lake. The results obtained demonstrate the feasibility of systematically retrieving the spatial information from the satellite data on the dynamics of the surface water temperature and of the suspended matter in the lake.

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

Доп.точки доступа:
Shevyrnogov, A.P.; Kartushinsky, A.V.; Vysotskaya, G.S.

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7.


   
    Individual-based model of the reproduction cycle of Moina macrocopa (Crustacea : Cladocera) [Text] / E. S. Zadereev [et al.] // Ecol. Model. - 2003. - Vol. 162, Is. 01.02.2013. - P. 15-31, DOI 10.1016/S0304-3800(02)00348-4. - Cited References: 25 . - ISSN 0304-3800
РУБ Ecology
Рубрики:
POPULATION
   ZOOPLANKTON

   FEMALES

   WATER

Кл.слова (ненормированные):
individual-based model -- Cladocera -- change of reproduction mode -- metabolic by-products
Аннотация: An individual-based model of cyclic development of Cladocera populations was developed on the basis of experimental data. The model takes into account the following processes describing the development of an individual animal: maturation, transition into other reproductive classes, selection of the reproduction mode (parthenogenetic or gamogenetic), release of parthenogenetic progeny and death. The model assumes that switching from asexual to sexual reproduction is controlled by the concentration of food and metabolic by-products of the animal population. Verification of the model by independent experiments demonstrated that (1) during population growth, metabolic by-products build up in the medium, and (2) the effect of metabolic by-products on gamogenesis induction depends on concentration. The hypothesis that the effect of regulating reproductive switching factors should synchronise the development of population with the change of environmental conditions in order to ensure production of the maximum number of diapausing eggs was tested. It is shown that combination of regulating reproductive switching factors maximises the production of diapausing eggs. (C) 2002 Elsevier Science B.V. All rights reserved.

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

Доп.точки доступа:
Zadereev, E.S.; Prokopkin, I.G.; Gubanov, V.G.; Gubanov, M.V.

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8.


   
    Individual-based model of the reproduction cycle of Moina macrocopa (Crustacea: Cladocera) / E. S. Zadereev [et al.] // Ecological Modelling. - 2003. - Vol. 162, Is. 1-2. - P15-31, DOI 10.1016/S0304-3800(02)00348-4 . - ISSN 0304-3800
Кл.слова (ненормированные):
Change of reproduction mode -- Cladocera -- Individual-based model -- Metabolic by-products -- ecological modeling -- individual-based model -- reproductive cycle -- Animalia -- Cladocera -- Crustacea -- Moina macrocopa
Аннотация: An individual-based model of cyclic development of Cladocera populations was developed on the basis of experimental data. The model takes into account the following processes describing the development of an individual animal: maturation, transition into other reproductive classes, selection of the reproduction mode (parthenogenetic or gamogenetic), release of parthenogenetic progeny and death. The model assumes that switching from asexual to sexual reproduction is controlled by the concentration of food and metabolic by-products of the animal population. Verification of the model by independent experiments demonstrated that (1) during population growth, metabolic by-products build up in the medium, and (2) the effect of metabolic by-products on gamogenesis induction depends on concentration. The hypothesis that the effect of regulating reproductive switching factors should synchronise the development of population with the change of environmental conditions in order to ensure production of the maximum number of diapausing eggs was tested. It is shown that combination of regulating reproductive switching factors maximises the production of diapausing eggs. В© 2002 Elsevier Science B.V. All rights reserved.

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

Доп.точки доступа:
Zadereev, E.S.; Prokopkin, I.G.; Gubanov, V.G.; Gubanov, M.V.

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9.


   
    The investigation on the dynamics of frontal zones in the ocean based on the numerical modelling, using the AVHRR satellite data [Text] / A. V. Kartushinsky ; ed. P Schlussel [et al.] // CLIMATE CHANGE PROCESSES IN THE STRATOSPHERE, EARTH-ATMOSPHERE-OCEAN SYSTEMS, AND OCEANOGRAPHIC PROCESSES FROM SATELLITE DATA. Ser. ADVANCES IN SPACE RESEARCH : PERGAMON-ELSEVIER SCIENCE LTD, 2004. - Vol. 33: 2nd World Space Congress/34th COSPAR Scientific Assembly (OCT 10-19, 2002, HOUSTON, TX), Is. 7. - P. 1173-1178, DOI 10.1016/S0273-1177(03)00370-3. - Cited References: 19 . - ISBN 0273-1177
РУБ Engineering, Aerospace + Astronomy & Astrophysics + Environmental Sciences + Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences + Remote Sensing
Рубрики:
VARIABILITY
Кл.слова (ненормированные):
frontal temperature zones -- model -- numerical experiments -- current velocity -- turbulent diffusion -- heat flow
Аннотация: The main purpose of the work is to investigate the frontal temperature zones using the mathematical model of the oceanic temperature field. The forecast of the frontal temperature zone variability is based on satellite data. The model calculates the temperature under different starting conditions and allows for the mean monthly intensity of solar radiation, components of current velocities, and turbulent diffusion. The input data are the mean monthly current velocities and the radiation heat flows. The model is used to calculate the dynamics of the frontal temperature zones in separate parts of the ocean. Based on the results of numerical experiments presented in the paper we estimated the spatial and temporal ranges of the frontal zone variation affected by the advection of currents, horizontal turbulent heat exchange, and the radiation heat flow in separate parts of the ocean. As examples we consider the basic frontal zones in the Atlantic and the Pacific Oceans. The work also shows possible applications of parametrization of spatial horizontal components of the frontal zones functionally related to the processes of heat advection and diffusion in the absence of exact information about the magnitudes of the current velocities and turbulent mixing. (C) 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.

WOS
Держатели документа:
Krasnoyarsk State Univ, Inst Biophys, Russian Acad Sci, Krasnoyarsk 660036, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Kartushinsky, A.V.; Schlussel, P \ed.\; Stuhlmann, R \ed.\; Campbell, JW \ed.\

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10.


   
    The investigation on the dynamics of frontal zones in the ocean based on the numerical modelling, using the AVHRR satellite data [Text] / A. V. Kartushinsky ; ed. P Schlussel [et al.] // CLIMATE CHANGE PROCESSES IN THE STRATOSPHERE, EARTH-ATMOSPHERE-OCEAN SYSTEMS, AND OCEANOGRAPHIC PROCESSES FROM SATELLITE DATA. Ser. ADVANCES IN SPACE RESEARCH : PERGAMON-ELSEVIER SCIENCE LTD, 2004. - Vol. 33: 2nd World Space Congress/34th COSPAR Scientific Assembly (OCT 10-19, 2002, HOUSTON, TX), Is. 7. - P1173-1178, DOI 10.1016/S0273-1177(03)00370-3. - Cited References: 19 . - 6. - ISBN 0273-1177
РУБ Engineering, Aerospace + Astronomy & Astrophysics + Environmental Sciences + Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences + Remote Sensing
Рубрики:
VARIABILITY
Кл.слова (ненормированные):
frontal temperature zones -- model -- numerical experiments -- current velocity -- turbulent diffusion -- heat flow
Аннотация: The main purpose of the work is to investigate the frontal temperature zones using the mathematical model of the oceanic temperature field. The forecast of the frontal temperature zone variability is based on satellite data. The model calculates the temperature under different starting conditions and allows for the mean monthly intensity of solar radiation, components of current velocities, and turbulent diffusion. The input data are the mean monthly current velocities and the radiation heat flows. The model is used to calculate the dynamics of the frontal temperature zones in separate parts of the ocean. Based on the results of numerical experiments presented in the paper we estimated the spatial and temporal ranges of the frontal zone variation affected by the advection of currents, horizontal turbulent heat exchange, and the radiation heat flow in separate parts of the ocean. As examples we consider the basic frontal zones in the Atlantic and the Pacific Oceans. The work also shows possible applications of parametrization of spatial horizontal components of the frontal zones functionally related to the processes of heat advection and diffusion in the absence of exact information about the magnitudes of the current velocities and turbulent mixing. (C) 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.

Держатели документа:
Krasnoyarsk State Univ, Inst Biophys, Russian Acad Sci, Krasnoyarsk 660036, Russia : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Kartushinsky, A.V.; Schlussel, P \ed.\; Stuhlmann, R \ed.\; Campbell, JW \ed.\

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11.


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

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

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

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12.


   
    Principle of the worst scenario in the modelling past and future of biosphere dynamics / S. I. Bartsev, A. G. Degermendzhi, D. V. Erokhin // Ecological Modelling. - 2008. - Vol. 216, Is. 2. - P160-171, DOI 10.1016/j.ecolmodel.2008.03.002 . - ISSN 0304-3800
Кл.слова (ненормированные):
Irreversible biosphere changes -- Minimal model of biosphere -- The worst scenario principle -- Biospherics -- agricultural land -- anthropogenic effect -- atmosphere-biosphere interaction -- carbon dioxide -- deforestation -- Little Ice Age -- numerical model -- Eurasia -- Europe
Аннотация: The "biosphere-climate" system is subjected to different influences (influx of anthropogenic CO2 and pollutants, deforestation, harmful land management, biological species depopulation, etc.). Therefore, the vital question arises: "Can these influences lead to irreversible negative changes in the climate-biosphere system or a global ecological catastrophe?" The possibility of irreversible changes may be not very high, but one cannot ignore it. So the main aim of our investigation is to evaluate possible consequences of human impact on the biosphere focusing on irreversible changes of it. Traditional mathematical complicated models describe the biosphere in great detail, but the large number of equations and parameters leads to accumulation of uncertainties in the forecast due to inevitable uncertainties of experimental estimations of model parameters. An approach based on the principle of the worst scenario was proposed. Minimization of mathematical model with respect to this principle is conducted to study limiting (but possible) versions of models in which the contribution of the possible compensatory and smoothing mechanisms is minimal. Namely the most unfavorable scenarios (corresponding to the values of parameters at the boundaries of confidence interval) have to be considered in estimating consequences of anthropogenic impact. One of the fastest CO2 releasing mechanisms, based on the positive feedback effect, was considered in the context of the worst scenario principle. The family of simple mathematical models was created for biosphere dynamics representation on different timescales. The main result of the investigation consists in confirmation of the possibility of negative and irreversible changes in the "biosphere-climate" system, caused by amplification of the positive feedback: "anthropogenic emission of CO2 - temperature increase - additional CO2 emission due to decomposition of soil organics". Crucial parameters of models, responsible for avalanche-like biosphere changes, are determined. A realizability of hypotheses on anthropogenic causes of Little Ice Age was estimated by corresponding minimal model. Model were used to show the feasibility of the mechanism describing the changing of agricultural field species into indigenous forests in Europe during the Plague, which led to CO2 decrease and temperature fall. В© 2008 Elsevier B.V. All rights reserved.

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

Доп.точки доступа:
Bartsev, S.I.; Degermendzhi, A.G.; Erokhin, D.V.

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13.


   
    Vertical stratification of physical, chemical and biological components in two saline lakes Shira and Shunet (South Siberia, Russia) / A. G. Degermendzhy [et al.] // Aquatic Ecology. - 2010. - Vol. 44, Is. 3. - P619-632, DOI 10.1007/s10452-010-9336-6 . - ISSN 1386-2588
Кл.слова (ненормированные):
Ciliates -- Cryptomonas -- Fishless lakes -- Gammarus -- Mathematical modelling -- Meromictic lakes -- Phytoplankton -- Stratification -- Sulphur bacteria -- amphipod -- bacterium -- biomass -- ciliate -- ecosystem modeling -- flagellate -- meromictic lake -- microbial community -- numerical model -- physicochemical property -- phytoplankton -- population density -- saline lake -- salinity -- stratification -- thermocline -- trophic interaction -- vertical profile -- zooplankton -- Khakassia -- Lake Shira -- Lake Shunet -- Russian Federation -- Siberia -- Amphipoda -- Bacteria (microorganisms) -- Ciliophora -- Copepoda -- Cryptomonas -- Cryptomonas sp. -- Gammaridae -- Gammarus -- Gammarus lacustris -- Phytomastigophorea -- Protista -- Rotifera
Аннотация: A feature of meromictic lakes is that several physicochemical and biological gradients affect the vertical distribution of different organisms. The vertical stratification of physical, chemical and biological components in saline, fishless meromictic lakes Shira and Shunet (Siberia, Russia) is quite different mainly because both mean depth and maximum depth of lakes differ as well as their salinity levels differ. The chemocline of the Lake Shira, as in many meromictic lakes, is inhabited by bacterial community consisting of purple sulphur and heterotrophic bacteria. As the depth of the chemocline is variable, the bacterial community does not attain high densities. The mixolimnion in Lake Shira, which is thermally stratified in summer, also creates different habitat for various species. The distribution of phytoplankton is non-uniform with its biomass peak in the metalimnion. The distribution of zooplankton is also heterogeneous with rotifers and juvenile copepods inhabiting the warmer epilimnion and older copepods found in the cold but oxic hypolimnion. The amphipod Gammarus lacustris which can be assigned to the higher trophic link in the fishless lake's ecosystem, such as Lake Shira, is also distributed non-uniformly, with its peak density generally observed in the thermocline region. The chemocline in Lake Shunet is located at the depth of 5 m, and unlike in Lake Shira, due to a sharp salinity gradient between the mixolimnion and monimolimnion, this depth is very stable. The mixolimnion in Lake Shunet is relatively shallow and the chemocline is inhabited by (1) an extremely dense bacterial community; (2) a population of Cryptomonas sp.; and (3) ciliate community comprising several species. As the mixolimnion of Lake Shunet is not thermally stratified for long period, the phytoplankton and zooplankton populations are not vertically stratified. The gammarids, however, tend to concentrate in a narrow layer located 1-2 m above the chemocline. We believe that in addition to vertical inhomogeneities of both physicochemical parameters, biological and physical factors also play a role in maintaining these inhomogeneities. We conclude that the stratified distributions of the major food web components will have several implications for ecosystem structure and dynamics. Trophic interactions as well as mass and energy flows can be significantly impacted by such heterogeneous distributions. Species spatially separated even by relatively short distances, say a few centimetres will not directly compete. Importantly, we demonstrate that not only bacteria, phytoflagellates and ciliate tend to concentrate in thin layers but also larger-sized species such Gammarus (amphipods) can also under certain environmental conditions have stratified distribution with maxima in relatively thin layer. As the vertical structure of the lake ecosystem is rather complex in such stratified lakes as ours, the strategy of research, including sampling techniques, should consider potentially variable and non-homogeneous distributions. В© 2010 The Author(s).

Scopus
Держатели документа:
Institute of Biophysics SB RAS, 660036 Krasnoyarsk, Akademgorodok, Russian Federation
Siberian Federal University, Svobodnyi 79, 660041 Krasnoyarsk, Russian Federation
Netherlands Environmental Assessment Agency (PBL), P.O. Box 303, 3720 AH Bilthoven, Netherlands
Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), 3631 AC Nieuwersluis, Netherlands : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Degermendzhy, A.G.; Zadereev, E.S.; Rogozin, D.Y.; Prokopkin, I.G.; Barkhatov, Y.V.; Tolomeev, A.P.; Khromechek, E.B.; Janse, J.H.; Mooij, W.M.; Gulati, R.D.

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14.


   
    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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15.


   
    An Integrated Approach to the Assessment of an Ecological Impact of Industrial Products and Processes / S. I. Bartsev [et al.] ; ed.: Z Yang, Z Yang // 18TH BIENNIAL ISEM CONFERENCE ON ECOLOGICAL MODELLING FOR GLOBAL CHANGE AND COUPLED HUMAN AND NATURAL SYSTEM. Ser. Procedia Environmental Sciences : ELSEVIER SCIENCE BV, 2012. - Vol. 13: 18th Biennial ISEM Conference on Ecological Modelling for Global Change and Coupled Human and Natural Systems (SEP 20-23, 2011, Beijing, PEOPLES R CHINA). - P837-846, DOI 10.1016/j.proenv.2012.01.077. - Cited References: 2 . - 10. - ISBN 1878-0296
РУБ Ecology + Environmental Sciences

Кл.слова (ненормированные):
ecology -- sustable development
Аннотация: Since almost any waste recycling requires non-zero resources, almost any technology exerts non-zero impact on the biosphere. Therefore, there is an objective of finding technological configuration providing a minimal harmful effect on the biosphere. Correct assessment of the harmful effect requires as broad a framework of consideration as possible. A comparison of ecological impacts of gasoline and electric vehicles was conducted as an example of applying this approach. The contribution of technological processes involved into production, usage, and disposal of vehicles was taken into account. Comparison of the total environmental impact of the vehicles has led to a result that differs radically from widely distributed points of view about the environmental benefits of electric vehicles. It indicates that the use of the proposed approach can significantly change perceptions about the environmental and economic efficiency of various industrial products and processes. (C) 2011 Published by Elsevier B. V. Selection and/or peer-review under responsibility of School of Environment, Beijing Normal University.

Держатели документа:
[Bartsev, S. I.
Degermendzhi, A. G.
Okhonin, V. A.] Russian Acad Sci, Inst Biophys, Siberian Branch, Krasnoyarsk 660036, Russia : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Bartsev, S.I.; Degermendzhi, A.G.; Okhonin, V.A.; Saltykov, M.Y.; Yang, Z \ed.\

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16.


   
    Carbon cycle modeling and principle of the worst scenario / S. I. Bartsev, A. G. Degermendzhi, P. V. Belolipetsky // Developments in Environmental Modelling. - 2012. - Vol. 25. - P447-458, DOI 10.1016/B978-0-444-59396-2.00026-2

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

Доп.точки доступа:
Bartsev, S.I.; Degermendzhi, A.G.; Belolipetsky, P.V.

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17.


   
    Modeling of CO2 fluxes between atmosphere and boreal forest / Y. V. Barkhatov [et al.] ; ed.: Z Yang, Z Yang // 18TH BIENNIAL ISEM CONFERENCE ON ECOLOGICAL MODELLING FOR GLOBAL CHANGE AND COUPLED HUMAN AND NATURAL SYSTEM. Ser. Procedia Environmental Sciences : ELSEVIER SCIENCE BV, 2012. - Vol. 13: 18th Biennial ISEM Conference on Ecological Modelling for Global Change and Coupled Human and Natural Systems (SEP 20-23, 2011, Beijing, PEOPLES R CHINA). - P621-625, DOI 10.1016/j.proenv.2012.01.053. - Cited References: 17 . - 5. - ISBN 1878-0296
РУБ Ecology + Environmental Sciences
Рубрики:
CARBON-DIOXIDE FLUXES
   SIBERIA

   BUDGET

   SINKS

   RATIO

   O-2

Кл.слова (ненормированные):
Global carbon cycle -- Siberian boreal forests -- mathematical modeling -- atmospheric boundary layer budget method
Аннотация: Difficulties in estimating terrestrial ecosystem CO2 fluxes on regional scales have significantly limited our understanding of the global carbon cycle. We present a method of using tall-tower-based CO2 concentrations for estimating CO2 fluxes over a forested region. With long-term measurements of the CO2 mixing ratio at a 300-m-tall tower, regional CO2 fluxes were estimated for several months, from the first obtained data. Estimates of a monthly-integrated surface CO2 flux over the region were obtained by the analysis of average gradients and estimates of the rate of vertical mixing between the atmospheric boundary layer (ABL) and the free troposphere. For the comparison of the ABL budget method and field measurements a zero-dimensional mathematical model of the ecosystem of Siberian boreal forests was used. The model is a system of ordinary differential equations with additional conditions superimposed on the parameters. The main occurring processes are described - photosynthesis, respiration, seasonal changes of active phytomass, water balance of trees, the influence of light, humidity, and temperature on photosynthesis and respiration. (C) 2011 Published by Elsevier B. V. Selection and/or peer-review under responsibility of School of Environment, Beijing Normal University.

Держатели документа:
[Barkhatov, Y. V.
Belolipetsky, P. V.
Degermendzhi, A. G.
Shchemel, A. L.] Inst Biophys SB RAS, Krasnoyarsk 660036, Russia : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Barkhatov, Y.V.; Belolipetsky, P.V.; Degermendzhi, A.G.; Belolipetskii, V.M.; Verkhovets, S.V.; Timokhina, A.V.; Panov, A.V.; Shchemel, A.L.; Vedrova, E.F.; Trephilova, O.V.; Yang, Z \ed.\

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18.


   
    Numerical Analysis of Hydrophysical Fields in Lake Shira [Text] / T. Yakubaylik, L. Kompaniets // Acta Geol. Sin.-Engl. Ed. - 2014. - Vol. 88. - P167-167, DOI 10.1111/1755-6724.12267_16. - Cited References:0 . - ISSN 1000-9515. - ISSN 1755-6724
РУБ Geosciences, Multidisciplinary

Кл.слова (ненормированные):
numerical analysis -- stratified salt lake -- hydrophysical fields -- [Yakubaylik, Tatyana -- Kompaniets, Lidiya] Inst Computat Modelling SB RAS, Krasnoyarsk, Russia.

WOS
Держатели документа:
ИБФ СО РАН

Доп.точки доступа:
Yakubaylik, Tatyana; Kompaniets, Lidiya

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19.


   
    Cryptophyta Flagellates of Meromictic Lakes Shira and Shunet (Khakassia, Russia): Mechanisms of Vertical Distribution and Trophic Role [Text] / Y. Barkhatov [et al.] // Acta Geol. Sin.-Engl. Ed. - 2014. - Vol. 88. - P50-52, DOI 10.1111/1755-6724.12266_4. - Cited References:9. - This work was supported by Russian Foundation for Basic Research (RFBR)No. 13-04-01514 and Integrative Project of Siberian Branch of RussianAcademy of Sciences No. 56. . - ISSN 1000-9515. - ISSN 1755-6724
РУБ Geosciences, Multidisciplinary
Рубрики:
CHEMOCLINE
   SIBERIA

   SALINE

Кл.слова (ненормированные):
phytoflagellates -- deep chlorophyll maxima -- meromictic lake -- simulation -- modelling -- LakeShira -- LakeShunet

WOS
Держатели документа:
Inst Biophys SB RAS, Krasnoyarsk 660036, Russia.
ИБФ СО РАН

Доп.точки доступа:
Barkhatov, Yuri; Khromechek, Elena; Tolomeev, Alexander; Prokopkin, Igor; Russian Foundation for Basic Research (RFBR) [13-04-01514]; SiberianBranch of Russian Academy of Sciences [56]

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20.


   
    A one-dimensional model for phytoflagellate distribution in the meromictic lake [Text] / I. G. Prokopkin, Y. V. Barkhatov, E. B. Khromechek // Ecol. Model. - 2014. - Vol. 288. - P. 1-8, DOI 10.1016/j.ecolmode1.2014.05.011. - Cited References: 22. - This work was supported by Russian Foundation for Basic Research (RFBR) No. 13-04-01514 and Integrative Project of Siberian Branch of Russian Academy of Sciences No. 56. The anonymous reviewers are kindly acknowledged for valuable suggestions and criticism. . - ISSN 0304-3800. - ISSN 1872-7026
РУБ Ecology
Рубрики:
VERTICAL-DISTRIBUTION
   CHLOROPHYLL MAXIMUM

   SOUTH SIBERIA

   RUSSIA

   KHAKASIA

   SHIRA

   CRYPTOPHYTES

   CRYPTOMONAS

   CHEMOCLINE

   MIGRATION

Кл.слова (ненормированные):
Phytoflagellates -- Meromictic lake -- Simulation modeling -- Lake Shira
Аннотация: Using mathematical modeling methods, the work investigates possible existence of a phytoflagellate population in the ecosystem of a stratified lake (Lake Shira, Khakasia, Russia). Until this study was carried out, no phytoflagellate population had been detected in the lake, although there had been indirect evidence of the possible presence of a cryptomonad population in this water body. To answer the question if this population may be present in this water body, as the first step of investigation, a mathematical model was developed describing the microorganism biomass dynamics and phytoflagellate relationship with the lake food web. The calculations showed that cryptophytic algae were abundant in the water column layers above the lake chemocline at the beginning of summer but showed low biomass concentrations during other periods of time. In the summer following the construction of the model, samples were collected from Lake Shira, as the next step of the study. A cryptophytic algae population was found in the water column, and the pattern of its distribution in the ecosystem was similar to that predicted by the model. In addition to that, we studied theoretically possible reasons for the early summer development of the population in the deep water layers and found that it was the result of the mixotrophic feeding strategy of cryptomonads and trophic interactions in the food web. The study shows that preliminary modeling of the locational and temporal distribution of populations whose presence in the ecosystem is only suggested by indirect evidence may be useful as a tool for searching for the species in natural ecosystems and as an approach enabling a more accurate description of the food web structure of a water body. (C) 2014 Elsevier B.V. All rights reserved.

WOS
Держатели документа:
[Prokopkin, I. G.
Barkhatov, Y. V.
Khromechek, E. B.] Akademgorodok, Inst Biophys, Krasnoyarsk 660036, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Prokopkin, I.G.; Barkhatov, Y.V.; Khromechek, E.B.; Russian Foundation for Basic Research (RFBR) [13-04-01514]; Integrative Project of Siberian Branch of Russian Academy of Sciences [56]

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