Библиотека института биофизики СО РАН

Главная

Базы данных

Труды сотрудников ИБФ СО РАН - результаты поиска

Вид поиска

Каталог книг и продолжающихся изданий библиотеки Института биофизики СО РАН

Иностранные журналы библиотеки Института биофизики СО РАН

Отечественные журналы библиотеки Института биофизики СО РАН

Каталог диссертаций ИБФ СО РАН

Труды сотрудников ИБФ СО РАН

Область поиска

в найденном

Найдено в других БД:

Каталог книг и продолжающихся изданий библиотеки Института биофизики СО РАН (1)

Формат представления найденных документов:
полный	информационный	краткий

Отсортировать найденные документы по:
автору	заглавию	году издания	типу документа

Поисковый запрос: (<.>K=Spatial<.>)

Общее количество найденных документов : 82
Показаны документы с 1 по 20

1-20 21-40 41-60 61-80 81-82

Microdistribution of 241Am in structures of submerged macrophyte Elodea canadensis growing in the Yenisei River / L. Bondareva [et al.] // Journal of Environmental Radioactivity. - 2010. - Vol. 101, Is. 1. - P16-21, DOI 10.1016/j.jenvrad.2009.08.003 . - ISSN 0265-931X
Кл.слова (ненормированные):
Alpha-track analysis -- Americium -- Elodea canadensis -- Liquid-scintillation spectrometry -- Microdistribution -- Alpha-track analysis -- Elodea canadensis -- Microdistribution -- Scintillation spectrometry -- Track analysis -- Liquids -- Luminescence -- Radioisotopes -- Scintillation -- Spectrometry -- Spectroscopy -- Americium -- americium 241 -- americium -- americium -- bioaccumulation -- experimental study -- leaf -- macrophyte -- mass spectrometry -- morphology -- radionuclide -- spatial distribution -- stem -- submerged vegetation -- tracking -- aquatic flora -- article -- bioaccumulation -- concentration (parameters) -- elodea canadensis -- environmental radioactivity -- isotope analysis -- isotope tracing -- leaf lamina -- leaf surface -- macrophyte -- nonhuman -- plant cell -- plant morphology -- plant stem -- radioisotope distribution -- river -- chemistry -- Hydrocharitaceae -- metabolism -- plant -- plant leaf -- radiation monitoring -- river -- water pollutant -- Eurasia -- Russian Federation -- Yenisei River -- Elodea canadensis -- Americium -- Hydrocharitaceae -- Plant Leaves -- Plant Shoots -- Plant Stems -- Radiation Monitoring -- Rivers -- Water Pollutants, Radioactive
Аннотация: A submerged macrophyte of the Yenisei River, Elodea canadensis, was used to study the microdistribution of the artificial radionuclide 241Am among different components of the plant. The total amount of 241Am added to the experimental system was 1850 В± 31 Bq/L. The total amount of 241Am accumulated by the plants was 182 Bq per sample, or 758,333 В± 385 Bq/kg dry mass. It has been found that the major portion of 241Am accumulated by E. canadensis, up to 85%, was bound to solid components of the cells. It is observed that the microdistribution of 241Am within different components of the submerged plant E. canadensis was not uniform. 241Am distribution vary depending on the age of the leaf blades, the state of the cells and morphological features of the plant stem. В© 2009 Elsevier Ltd. All rights reserved.

Scopus
Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, 50 Akademgorodok, Krasnoyarsk, 660036, Russian Federation
Chemistry Department, Lomonosov Moscow State University, Leninskie Gory, Moscow 119991, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Bondareva, L.; Vlasova, I.; Mogilnaya, O.; Bolsunovsky, A.; Kalmykov, S.

Найти похожие

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.

Найти похожие

Anoxygenic phototrophic bacteria in meromictic lakes of southern Siberia during the ice period: Spatial distributions and ecological conditions / D. Yu. Rogozin [et al.] // Doklady Biological Sciences. - 2009. - Vol. 424, Is. 1. - P63-67, DOI 10.1134/S0012496609010190 . - ISSN 0012-4966
Кл.слова (ненормированные):
fresh water -- anaerobic growth -- article -- environmental aspects and related phenomena -- history -- ice cover -- microbiology -- phototrophy -- Russian Federation -- season -- Anaerobiosis -- Ecological and Environmental Phenomena -- Fresh Water -- History, Ancient -- Ice Cover -- Phototrophic Processes -- Seasons -- Siberia -- Photobacteria

Scopus
Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Akademgorodok 50, Krasnoyarsk 660036, Russian Federation
Siberian Federal University, Svobodnyi pr. 79, Krasnoyarsk 66041, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Rogozin, D.Yu.; Zykov, V.V.; Chernetskii, M.Yu.; Degermendzhy, A.G.

Найти похожие

Distribution of Gammarus lacustris Sars (Amphipoda, Gammaridae) in Lake Shira (Khakasia, Siberia) and laboratory study of its growth characteristics / A. Y. Yemelyanova, T. A. Temerova, A. G. Degermendzhy // Aquatic Ecology. - 2002. - Vol. 36, Is. 2. - P245-256, DOI 10.1023/A:1015624205389 . - ISSN 1386-2588
Кл.слова (ненормированные):
Biomass -- Fresh-water shrimp -- Gammarus lacustris -- Growth -- Numbers -- biomass -- growth rate -- saline lake -- spatial distribution -- zoobenthos -- Russian Federation -- Amphipoda -- cellular organisms -- Decapoda (Crustacea) -- Gammaridae -- Gammarus -- Gammarus lacustris -- Invertebrata
Аннотация: Spatial distribution of Gammarus lacustris in Lake Shira and growth of young specimens that feed on lake biota were studied. The amphipods have been shown to inhabit the littoral, sublittoral and the upper aphytal zones of the lake on stony-sandy soil and silted sand. The young and adult individuals stay apart. The young live in submerged or semi-submerged vegetation in the littoral, the adults in the sublittoral and upper aphytal zones. Maximum density of amphipods was encountered in the areas influenced by human activity. The feeding experiments revealed that the lake plankton is a more important food source for G. lacustris than any other food species. The specific growth rate measured was 0.039 d-1, with a length increment 0.095 mm d-1.

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

Доп.точки доступа:
Yemelyanova, A.Y.; Temerova, T.A.; Degermendzhy, A.G.

Найти похожие

Spatial distribution of resting stages (akinetes) of the cyanobacteria Anabaena flos-aquae in sediments and its influence on pelagic populations / E. S. Kravchuk, E. A. Ivanova, M. I. Gladyshev // Marine and Freshwater Research. - 2011. - Vol. 62, Is. 5. - P450-461, DOI 10.1071/MF10256 . - ISSN 1323-1650
Кл.слова (ненормированные):
cyanobacterial blooms -- harmful algae -- reservoir -- resting stages -- sediment management -- water quality -- abundance -- bioaccumulation -- biomass -- cyanobacterium -- environmental factor -- experimental study -- green alga -- inoculation -- littoral environment -- macrophyte -- pelagic environment -- phytoplankton -- population structure -- qualitative analysis -- recruitment (population dynamics) -- reservoir -- seasonal variation -- sediment analysis -- silt -- spatial distribution -- vertical distribution -- water quality -- Siberia -- algae -- Anabaena flos-aquae -- Cyanobacteria
Аннотация: Recruitment of pelagic populations of cyanobacteria from littoral bottom sediments is assumed to be one of the key factors for the development of harmful blooms. Therefore, it is necessary to obtain more information on the possible factors influencing the spatial distribution of the resting stages in littoral bottom sediments. To test the hypothesis that akinete abundances in littoral bottom sediments are associated with silt and the presence of higher water plants, we sampled spatial and vertical distribution and seasonal dynamics of akinetes of cyanobacterium Anabaena flos-aquae in a small Siberian reservoir. We found that akinetes accumulate in silt at stations located in macrophyte beds. Two experiments were carried out to test if there is relationship between size of inoculum and size of the pelagic population of A. flos-aquae. The proportion of A. flos-aquae in total phytoplankton biomass depended on the initial abundance of akinetes in bottom sediments. The model based on laboratory experiments gave good qualitative description of the field data. These findings can be useful to predict the location of the main akinete accumulation zones in a water body and plan the removal of sediment to prevent the cyanobacterial blooms. В© CSIRO 2011.

Scopus
Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Svobodny av. 79, Krasnoyarsk, 660041, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Kravchuk, E.S.; Ivanova, E.A.; Gladyshev, M.I.

Найти похожие

Devil's staircase in double helices self-organization / P. I. Belobrov [et al.] // Physics Letters A. - 1987. - Vol. 122, Is. 6-7. - P323-326 . - ISSN 0375-9601
Аннотация: The structures of the ground state of a discrete model of two interacting helical chains are investigated by the discrete mapping method. When non-interacting chains have different spatial periods, the ground state structure of the model depends on the value of the interaction constant ?. We show the existence of a critical value ?c at which the chains form a common helix. Regular soliton structure is realized for ???c as a ground state. For ??c the system ground state passes through a sequence of transitions of incomplete devil's staircase type. Metastable chaotic structures are shown to exist. В© 1987.

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

Доп.точки доступа:
Belobrov, P.I.; Beloshapkin, V.V.; Zaslavsky, G.M.; Tret'yakov, A.G.

Найти похожие

A remote sensing technique for the assessment of stable interannual dynamical patterns of vegetation / M. Y. Chernetskiy, A. P. Shevyrnogov, N. F. Ovchinnikova // Proceedings of SPIE - The International Society for Optical Engineering. - 2011. - Vol. 8174: Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII (19 September 2011 through 21 September 2011, Prague) Conference code: 87191. - Ст. 1, DOI 10.1117/12.896748
Кл.слова (ненормированные):
EVI -- Forest -- Kernel k-means -- Minimum noise fraction -- MODIS -- NDVI -- Principal component analysis -- Time series -- EVI -- Forest -- Kernel k-means -- Minimum noise fraction -- MODIS -- NDVI -- Principal Components -- Agriculture -- Ecosystems -- Hydrology -- Principal component analysis -- Remote sensing -- Satellite imagery -- Space optics -- Time series -- Vegetation
Аннотация: The time series of various parameters of satellite imagery (NDVI/EVI, temperature) during the growing season were considered in this work. This means that satellite images were considered not like a number of single scenes but like temporal sequences. Using time series enables estimating the integral phenological properties of vegetation. The basis of the developed technique is to use one of the methods of transformation of the multidimensional space in order to get the principal components. The technique is based on considering each dimension of the multidimensional space as satellite imagery for a specific date range. The technique automatically identifies spatial patterns of vegetation that are similar by phenology and growing conditions. Subsequent analysis allowed identification of the belonging of derived classes. Thus, the technique of revealing the spatial distribution of different dynamical vegetation patterns based on the phenological characteristics has been developed. The technique is based on a transformation of the multidimensional space of states of vegetation. Based on the developed technique, areas were obtained with similar interannual trends. В© 2011 SPIE.

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

Доп.точки доступа:
Chernetskiy, M.Y.; Shevyrnogov, A.P.; Ovchinnikova, N.F.

Найти похожие

A study of backscattered spectra dynamics of agricultural crops during growth period on the territory of the Krasnoyarskii Krai (Russia) / I. Yu. Pugacheva, A. F. Sid'ko, A. P. Shevyrnogov // Advances in Space Research. - 2010. - Vol. 45, Is. 10. - P1224-1230, DOI 10.1016/j.asr.2009.11.020 . - ISSN 0273-1177
Кл.слова (ненормированные):
Barley -- Oats -- Spectral brightness coefficients -- Spectral reflectance -- Wheat -- Agricultural crops -- Back-scattered -- Data base -- Ecological state -- Field ground -- Growth period -- Optical thickness -- Satellite data -- Seasonal dynamics -- Space image -- Spatial distribution -- Species composition -- Spectral brightness -- Spectral curves -- Spectral differences -- Spectral reflectances -- Underlying surface -- Reflection -- Size distribution -- Crops
Аннотация: The work presents the results of the study aimed at determining the seasonal dynamics of the spectral brightness and reflectance of agricultural crops (wheat, barley and oats) in the Krasnoyarskii Krai (Russia). The analysis of spectral curves obtained through field ground measurements and from satellite data showed that fine spectral differences can be used to study the spatial distribution of various types of vegetation and their ecological state. Based on the created electronic spectral brightness data base, the possibilities are shown of using spectrophotometric information for determining morphophysiological changes occurring in the plants and their species composition. The determined contrasts can be effectively used to obtain necessary information while processing space images, which suffer from natural interferences (varying optical thickness of the atmosphere, cloudiness, alterations in the scanner's angle of view, varying solar height, and highly inhomogeneous underlying surface). В© 2010 COSPAR.

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

Доп.точки доступа:
Pugacheva, I.Yu.; Sid'ko, A.F.; Shevyrnogov, A.P.

Найти похожие

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.

Найти похожие

10.

Quasistationary areas of chlorophyll concentration in the world ocean as observed satellite data / A. P. Shevyrnogov, G. S. Vysotskaya, J. I. Gitelson // Advances in Space Research. - 1996. - Vol. 18, Is. 7. - P129-132, DOI 10.1016/0273-1177(95)00955-8 . - ISSN 0273-1177
Кл.слова (ненормированные):
chlorophyll concentration -- chlorophylls -- CZCS -- ocean chlorophyll concentration -- phytopigment dynamics -- productivity -- quasistationary areas -- remote sensing -- satellite data -- seasonal changes -- world ocean
Аннотация: To estimate the seasonal progress of the production process over the planet and its long-standing trend it is important to measure not only the spatial distributions of pigment that represent the rates of photosynthesis but also their time variability. Anthropogenic impact on natural complexes can be efficiently estimated by satellite observations of phytopigment dynamics. This study presents CZCS satellite data processed to reveal spatial inhomogeneity in the seasonal course of chlorophyll concentration in the world ocean on a global scale. Areas with quasistationary and non-stationary seasonal changes in chlorophyll concentration are revealed for the 7.5 years period of CZCS operation. Areas in the world ocean with maximum absolute and relative differences in chlorophyll concentration during different seasons were found. Results are illustrated with a chart of areas in the Atlantic Ocean discerned by dynamic parameters.

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

Доп.точки доступа:
Shevyrnogov, A.P.; Vysotskaya, G.S.; Gitelson, J.I.

Найти похожие

11.

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

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

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

Найти похожие

12.

A study of forest vegetation dynamics in the south of the Krasnoyarskii Krai in spring / M. Chernetskiy [et al.] // Advances in Space Research. - 2011. - Vol. 48, Is. 5. - P819-825, DOI 10.1016/j.asr.2011.04.032 . - ISSN 0273-1177
Кл.слова (ненормированные):
EVI -- Forestry -- MODIS -- NDVI -- Remote sensing -- Vegetation phenology -- Accurate measurement -- Annual time series -- Carbon exchange -- Data series -- Dynamic state -- Enhanced vegetation index -- EVI -- Forest vegetation -- Global scale -- Growth dynamics -- Interannual variability -- Moderate resolution imaging spectroradiometer -- MODIS -- NDVI -- Normalized difference vegetation index -- Principal components analysis -- Remote sensing applications -- Remote sensing data -- Satellite data -- Spatial structure -- Spring season -- Terrestrial ecosystems -- Vegetation dynamics -- Vegetation phenology -- Biology -- Climate models -- Dynamics -- Ecosystems -- Estimation -- Forestry -- Monitoring -- Principal component analysis -- Radiometers -- Remote sensing -- Satellite imagery -- Timber -- Time series -- User interfaces -- Vegetation -- Carbon -- Ecosystems -- Forests -- Image Analysis -- Plants -- Remote Sensing -- Time Series Analysis
Аннотация: Remote sensing applications have greatly enhanced ability to monitor and manage in the areas of forestry. Accurate measurements of regional and global scale vegetation dynamics (phenology) are required to improve models and understanding of inter-annual variability in terrestrial ecosystem carbon exchange and climate-biosphere interactions. Study of vegetation phenology is required for understanding of variability in ecosystem. In this paper, monitoring of vegetation dynamics using time series of satellite data is presented. Vegetation variability (vegetation rate) in different topoclimatic areas is investigated. Original software using IDL interactive language for processing of satellite long-term data series was developed. To investigate growth dynamics vegetation rate inferred from remote sensing was used. All estimations based on annual time series of Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Vegetation rate for Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) was calculated using MODIS data. The time series covers spring seasons of each of 9 years, from 2000 to 2008. Comparison of EVI and NDVI derived growth rates has shown that NDVI derived rates reveal spatial structure better. Using long-term data of vegetation rates variance was estimated that helps to reveal areas with anomalous growth rate. Such estimation shows sensitivity degree of different areas to different topoclimatic conditions. Woods of heights depend on spatial topoclimatic variability unlike woods of lowlands. Principal components analysis shows vegetation with different rate conditions. Also it reveals vegetation of same type in areas with different conditions. It was demonstrated that using of methods for estimating the dynamic state of vegetation based on remote sensing data enables successful monitoring of vegetation phenology. В© 2011 COSPAR. Published by Elsevier Ltd. All rights reserved.

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

Доп.точки доступа:
Chernetskiy, M.; Pasko, I.; Shevyrnogov, A.; Slyusar, N.; Khodyayev, A.

Найти похожие

13.

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

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

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

Найти похожие

14.

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

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

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

Найти похожие

15.

Typification of natural seasonal dynamics of vegetation to reveal impact of land surface change on environment (by satellite data) / A. Shevyrnogov [et al.] // Advances in Space Research. - 2000. - Vol. 26, Is. 7. - P1169-1172, DOI 10.1016/S0273-1177(99)01142-4 . - ISSN 0273-1177
Кл.слова (ненормированные):
ecological modeling -- ecosystem health -- land surface -- satellite data -- vegetation dynamics
Аннотация: Deep insight into types of vegetation variability provided by AVHRR space scanner images of vegetation index spatial distribution helps reveal impact of land surface changes on environment. The Institute of Computational Modeling SB RAS has developed nonparametric algorithms of automatic to classify and recognize patterns of these images which helped to reveal: (1) major variability types (generally connected); (2) areas belonging to small classes, which can be used to reveal deviations from 'normal' (e.g., forest fires, etc.); (3) deviation from a certain type of dynamics indicative of changes in condition of plants, which can be used to diagnose pathology at early stages; (4) impact of economical activities on vegetation in Norilsk area. The authors provide biological interpretation of the satellite data. Computer-animated dynamics and color maps are presented. Nonparametric algorithms of an automatic classification and pattern recognition were provided by the Institute of Computational Modeling SB RAS. (C) 2000 COSPAR. Published by Elsevier Science Ltd.

Scopus
Держатели документа:
Inst. of Biophys. of Russ. A., Siberian Branch, 660036, Krasnoyarsk, Russian Federation
Inst. of Compl. Modeling of Russ. A., Siberian Branch (SB RAS), 660036, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Shevyrnogov, A.; Vysotskaya, G.; Sidko, A.; Dunaev, K.

Найти похожие

16.

Multi-satellite data merge to combine NOAA AVHRR efficiency with landsat-6 MSS spatial resolution to study vegetation dynamics / A. Shevyrnogov, P. Trefois, G. Vysotskaya // Advances in Space Research. - 2000. - Vol. 26, Is. 7. - P1131-1133, DOI 10.1016/S0273-1177(99)01130-8 . - ISSN 0273-1177
Кл.слова (ненормированные):
AVHRR -- Landsat multispectral scanner -- NOAA satellite -- satellite data -- spatial resolution -- vegetation dynamics
Аннотация: Spectral range and good replication provided by NOAA AVHRR data make possible to study evolution of vegetation cover and temperature in time. However, the spatial resolution even of 1000 m does not allow accurate location of the changes. The new developed NOAA NDVI image provides better apparent spatial resolution by the following procedure: - resample the NOAA image to 100 m pixel size; - georeference both NOAA and MSS (Landsat-6) to common UTM coordinates; - extract the brightness component from MSS (using the first principal component); - merge NOAA NDVI and MSS brightness images. The resulting image features the color of NOAA NDVI and topographic details of MSS intensity. This work offers relevant techniques to extract information from satellite imagery to apply to plant dynamics investigation. (C) 2000 COSPAR. Published by Elsevier Science Ltd.

Scopus
Держатели документа:
Institute of Biophysics of SB RAS, 660036, Krasnoyarsk, Russian Federation
Royal Museum of Central Africa, Brussels, Belgium
Inst. of Compl. Modelling SB RAS, 660036, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

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

Найти похожие

17.

Spatial and temporal anomalies of chlorophyll concentration in Atlantic ocean (by space-based data) / A. Shevyrgonov, G. Vysotskaya, E. Shevyrgonov // Advances in Space Research. - 2002. - Vol. 30, Is. 11. - P2541-2546, DOI 10.1016/S0273-1177(02)80334-9 . - ISSN 0273-1177
Кл.слова (ненормированные):
Chlorophyll -- Data reduction -- Ocean engineering -- Probability -- Thermal effects -- Time series analysis -- Chlorophyll concentration -- Space research -- chlorophyll -- remote sensing -- sea surface -- spatiotemporal analysis -- Atlantic Ocean
Аннотация: The work presents long-standing CZCS-satellite-based data about spatial distribution of anomalies in chlorophyll concentration and temperature of the ocean. An anomaly criterion is proposed. Maps of Atlantic ocean areas with elevated probability of anomalies are given. Properties of anomalous zones in different parts of the Atlantic ocean are discussed. Satellite-based maps of anomaly coefficients for chlorophyll concentration and temperature in the Atlantic ocean have been shown to feature substantial differences, the zones of elevated anomaly of chlorophyll concentration and temperature - to be close only in the vicinity of the Amazon outflow into the Atlantic ocean. Along with fundamental knowledge about dynamics of biological phenomena in the ocean the methods described may be used to reveal deviations due to anthropogenic impact. The methods presented may be used to process SeaWiFS prograna data. The data derived may be used to analyze long-standing time series to estimate randomness of cunent changes. В©2002 COSPAR. Published by Elsevier Science Ltd. All rights reserved.

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

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

Найти похожие

18.

Untangling metabolic and spatial interactions of stress tolerance in plants. 1. Patterns of carbon metabolism within leaves / K. Y. Biel [et al.] // Protoplasma. - 2010. - Vol. 245, Is. 1. - P49-73, DOI 10.1007/s00709-010-0135-7 . - ISSN 0033-183X
Кл.слова (ненормированные):
Carbon metabolism -- Leaf anatomy -- Leaf form and function -- Maximal ecological utility -- Photosynthesis -- Stress tolerance Spinacia oleracea -- aspartate aminotransferase isoenzyme 1 -- bicarbonate -- carbon -- carbon dioxide -- catalase -- chlorophyll -- malate dehydrogenase -- oxygen -- ribulosebisphosphate carboxylase -- vegetable protein -- article -- enzymology -- histology -- light -- metabolism -- oxidation reduction reaction -- photosynthesis -- physiological stress -- physiology -- plant leaf -- spinach -- theoretical model -- Aspartate Aminotransferase, Cytoplasmic -- Bicarbonates -- Carbon -- Carbon Dioxide -- Catalase -- Chlorophyll -- Light -- Malate Dehydrogenase -- Models, Theoretical -- Oxidation-Reduction -- Oxygen -- Photosynthesis -- Plant Leaves -- Plant Proteins -- Ribulose-Bisphosphate Carboxylase -- Spinacia oleracea -- Stress, Physiological -- Spinacia oleracea
Аннотация: The localization of the key photoreductive and oxidative processes and some stress-protective reactions within leaves of mesophytic C3 plants were investigated. The role of light in determining the profile of Rubisco, glutamate oxaloacetate transaminase, catalase, fumarase, and cytochrome-c-oxidase across spinach leaves was examined by exposing leaves to illumination on either the adaxial or abaxial leaf surfaces. Oxygen evolution in fresh paradermal leaf sections and CO2 gas exchange in whole leaves under adaxial or abaxial illumination was also examined. The results showed that the palisade mesophyll is responsible for the midday depression of photosynthesis in spinach leaves. The photosynthetic apparatus was more sensitive to the light environment than the respiratory apparatus. Additionally, examination of the paradermal leaf sections by optical microscopy allowed us to describe two new types of parenchyma in spinach-pirum mesophyll and pillow spongy mesophyll. A hypothesis that oxaloacetate may protect the upper leaf tissue from the destructive influence of active oxygen is presented. The application of mathematical modeling shows that the pattern of enzymatic distribution across leaves abides by the principle of maximal ecological utility. Light regulation of carbon metabolism across leaves is discussed. В© 2010 Springer-Verlag.

Scopus
Держатели документа:
Institute of Basic Biological Problems, Russian Academy of Sciences, Pushchino, Moscow Region 142290, Russian Federation
Biosphere Systems International Foundation, Oro Valley, AZ 85755, United States
International Scientific Centre for Organism Extreme States Research, Krasnoyarsk Scientific Centre, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk 660036, Russian Federation
Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk 660036, Russian Federation
Institute of Biophysics, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk 660036, Russian Federation
Biocompatible Plant Research Institute, College of Natural Sciences, California State University, Chico, CA 95929-0555, United States : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Biel, K.Y.; Fomina, I.R.; Nazarova, G.N.; Soukhovolsky, V.G.; Khlebopros, R.G.; Nishio, J.N.

Найти похожие

19.

The dissolved "yellow" matter as a natural indicator in hydrological investigations / F. Ya. Sid'ko [et al.] // Water Resources. - 1996. - Vol. 23, Is. 1. - P111-114 . - ISSN 0097-8078
Аннотация: The proportions of spectral indices of light absorption by water, dissolved "yellow" matter, phytoplankton pigments, and other suspended hydrosol particles contained in the water of Enisei River and Krasnoyarsk Reservoir were experimentally estimated. An optical method for determination of relative content and spatial distribution of water masses of mixing currents was proposed. В© 1996 MAHK Hayka/Interperiodica Publishing.

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

Доп.точки доступа:
Sid'ko, F.Ya.; Aponasenko, A.D.; Filimonov, V.S.; Lopatin, V.N.; Sid'ko, A.F.

Найти похожие

20.

Mathematical theory of new ecological mechanism of formation of spatial distribution of radionuclides in river ecosystem [Text] / A. G. Degermendzhy, L. G. Kosolapova ; ed.: G Reffo, A Ventura, A Ventur // INTERNATIONAL CONFERENCE ON NUCLEAR DATA FOR SCIENCE AND TECHNOLOGY, VOL 59, PT 1 AND 2. Ser. SOCIETA ITALIANA DI FISICA : CONFERENCE PROCEEDINGS : SOC ITALIANA FISICA, 1997. - Vol. 59: International Conference on Nuclear Data for Science and Technology (MAY 19-24, 1997, TRIESTE, ITALY). - P1373-1375. - Cited References: 0 . - 3. - ISBN 1122-1437. - ISBN 88-7794-114-6

РУБ Nuclear Science & Technology + Physics, Applied + Physics, Nuclear

Держатели документа:
RAS, Inst Biophys, Siberian Branch, Krasnoyarsk, Russia : 660036, Красноярск, Академгородок, д. 50, стр. 50
Доп.точки доступа:
Degermendzhy, A.G.; Kosolapova, L.G.; Reffo, G \ed.\; Ventura, A \ed.\; Ventur, A \ed.\

Найти похожие