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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).

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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Coupled large earthquakes in the Baikal rift system: Response to bifurcations in nonlinear resonance hysteresis / A. V. Klyuchevskii, R. G. Khlebopros // Geoscience Frontiers. - 2013, DOI 10.1016/j.gsf.2013.01.008 . - ISSN 1674-9871
Кл.слова (ненормированные):
Baikal rift system -- Bifurcation -- Coupled large earthquakes -- Hysteresis -- Nonlinear geodynamics -- Nonlinear oscillator with dissipation -- Phase portrait
Аннотация: The current lithospheric geodynamics and tectonophysics in the Baikal rift are discussed in terms of a nonlinear oscillator with dissipation. The nonlinear oscillator model is applicable to the area because stress change shows up as quasi-periodic inharmonic oscillations at rifting attractor structures (RAS). The model is consistent with the space-time patterns of regional seismicity in which coupled large earthquakes, proximal in time but distant in space, may be a response to bifurcations in nonlinear resonance hysteresis in a system of three oscillators corresponding to the rifting attractors. The space-time distribution of coupled MLHВ >В 5.5 events has been stable for the period of instrumental seismicity, with the largest events occurring in pairs, one shortly after another, on two ends of the rift system and with couples of smaller events in the central part of the rift. The event couples appear as peaks of earthquake 'migration' rate with an approximately decadal periodicity. Thus the energy accumulated at RAS is released in coupled large events by the mechanism of nonlinear oscillators with dissipation. The new knowledge, with special focus on space-time rifting attractors and bifurcations in a system of nonlinear resonance hysteresis, may be of theoretical and practical value for earthquake prediction issues. Extrapolation of the results into the nearest future indicates the probability of such a bifurcation in the region, i.e., there is growing risk of a pending MВ ?В 7 coupled event to happen within a few years. В© 2013.

Scopus
Держатели документа:
Institute of the Earth's Crust, Siberian Branch of the Russian Academy of Sciences, 128 ul. Lermontov, Irkutsk 664033, Russia
Siberian Federal University, 79, Svobodny ave., Krasnoyarsk 660041, Russia
Institute of Biophysics, Krasnoyarsk Science Center, Siberian Branch of the Russian Academy of Sciences, 50/50 Akademgorodok, Krasnoyarsk 660036, Russia : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Klyuchevskii, A.V.; Khlebopros, R.G.

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Dynamics of forest insect density: Bifurcation approach / A. D. Bazykin [et al.] // Journal of Theoretical Biology. - 1997. - Vol. 186, Is. 3. - P267-278, DOI 10.1006/jtbi.1996.0363 . - ISSN 0022-5193
Кл.слова (ненормированные):
article -- ecology -- forest -- insect -- nonhuman -- population density -- population dynamics -- population model -- priority journal
Аннотация: Six basic phase portraits differing in character and in the number of their equilibrium behaviour regimes were suggested in the classification of forest insect population dynamics. The portraits graphically illustrate six types of dynamic behavior of numbers of the system 'phytophage-entomophage': two types of stable equilibrium dynamics (stationary and oscillatory) and four types corresponding to outbreaks of mass reproduction - fixed, permanent, reversive and true outbreaks, respectively. In this paper we consider the single parameter model, with its parametric domains realizing a wide spectrum of phase dynamics, both basic and transitional. The changes in the phase portraits are accompanied by the bifurcations in the model. The results of these analyses are in agreement with the 'stability principle of mobile ecological systems' and may supply its parameter substantiation at the model level.

Scopus
Держатели документа:
Inst. of Math. Problem Biology, Russian Academy of Sciences, Puschino Moscow Region, 142292, Russian Federation
Ctr. of Productivity and Forest E., Russian Academy of Sciences, Novocheremushkinskaya, 69, Moscow 117418, Russian Federation
Institute of Biophysics S.B., Russ. Acad. of Sciences, Krasnoyarsk, Akademgorodok 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Bazykin, A.D.; Berezovskaya, F.S.; Isaev, A.S.; Khlebopros, R.G.

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Coupled large earthquakes in the Baikal rift system: Response to bifurcations in nonlinear resonance hysteresis / A. V. Klyuchevskii, R. G. Khlebopros // Geoscience Frontiers. - 2013. - Vol. 4, Is. 6. - P709-716, DOI 10.1016/j.gsf.2013.01.008 . - ISSN 1674-9871
Кл.слова (ненормированные):
Baikal rift system -- Bifurcation -- Coupled large earthquakes -- Hysteresis -- Nonlinear geodynamics -- Nonlinear oscillator with dissipation -- Phase portrait
Аннотация: The current lithospheric geodynamics and tectonophysics in the Baikal rift are discussed in terms of a nonlinear oscillator with dissipation. The nonlinear oscillator model is applicable to the area because stress change shows up as quasi-periodic inharmonic oscillations at rifting attractor structures (RAS). The model is consistent with the space-time patterns of regional seismicity in which coupled large earthquakes, proximal in time but distant in space, may be a response to bifurcations in nonlinear resonance hysteresis in a system of three oscillators corresponding to the rifting attractors. The space-time distribution of coupled MLH > 5.5 events has been stable for the period of instrumental seismicity, with the largest events occurring in pairs, one shortly after another, on two ends of the rift system and with couples of smaller events in the central part of the rift. The event couples appear as peaks of earthquake 'migration' rate with an approximately decadal periodicity. Thus the energy accumulated at RAS is released in coupled large events by the mechanism of nonlinear oscillators with dissipation. The new knowledge, with special focus on space-time rifting attractors and bifurcations in a system of nonlinear resonance hysteresis, may be of theoretical and practical value for earthquake prediction issues. Extrapolation of the results into the nearest future indicates the probability of such a bifurcation in the region, i.e.; there is growing risk of a pending M ? 7 coupled event to happen within a few years.В© 2013, China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V. All rights reserved.

Scopus
Держатели документа:
Institute of the Earth's Crust, Siberian Branch of the Russian Academy of Sciences, 128 ul. Lermontov, Irkutsk 664033, Russian Federation
Siberian Federal University, 79 Svobodny ave., Krasnoyarsk 660041, Russian Federation
Institute of Biophysics, Krasnoyarsk Science Center, Siberian Branch of the Russian Academy of Sciences, 50/50 Akademgorodok, Krasnoyarsk 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Klyuchevskii, A.V.; Khlebopros, R.G.

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Modifying the Models of Calcium Dynamics in Astrocytes by Ryanodine Release / Y. Fritsler, S. Bartsev, O. Belozor [et al.] // Math. Biol. Bioinform. - 2021. - Vol. 16, Is. 1. - P86-100, DOI 10.17537/2021.16.86 . - ISSN 1994-6538
Кл.слова (ненормированные):
astrocyte -- CICR -- mathematical model
Аннотация: The influence of ryanodine channels on the cytosole Ca2+dynamics was studied. We added the equations for ryanodine receptors and voltage-gated calcium channels into the original De Pitta et al. model of Ca2+. The derived model was shown to have significantly wider range of predictions: we derived the frequency of cytosole calcium spontaneous oscillations (which are absent in the original De Pitta et al. model) for various existing models of Ca2+signalling in astrocytes. Particularly, the initial De Pitta et al. results can be converted to either Lavrentovich and Hemkin model or in the Dupont et al model predictions. The absence of the Ca2+oscillations in astrocytes with the active ryanodine channels only was recently reported. This behaviour can be achieved in our model predictions for the certain values of parameters, which are supposedly responsible for the bifurcation landscape between the oscillatory and non-oscillatory dynamics of cytosol Ca2+in astrocytes. We also investigated the interplay between the spontaneous and glutamate-triggered oscillations. © 2021. All Rights Reserved.

Scopus
Держатели документа:
Siberian Federal University, Krasnoyarsk, Russian Federation
Institute of Biophysics SB RAS, Krasnoyarsk, Russian Federation
Krasnoyarsk State Medical University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Fritsler, Y.; Bartsev, S.; Belozor, O.; Ant., S.; And., S.

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