Features of the structural organization and biomorphology of dominant plant species of Holarctic seas’ coasts along the tidal gradient

2016 ◽  
Vol 6 (2) ◽  
pp. 122-131
Author(s):  
Liudmila Alexandrovna Sergienko ◽  
Tamara Yr'evna D'yachkova ◽  
Vera Ivanovna Androsova
Keyword(s):  
Plant Species ◽  
White Sea ◽  
Dry Mass ◽  
The Arctic ◽  
Western Coast ◽  
The White Sea ◽  
Substrate Structure ◽  
Dominant Plant Species ◽  
Ontogenetic Structure ◽  
Tidal Gradient

Investigations of the population and biomorphology of dominant species Plantago maritima L. (fam. Plantaginaceae) and Triglochin maritima L. (fam. Juncaginaceae) along the tidal gradient of the coasts of the White Sea are presented. The western coast of the White Sea has been chosen as a sample of Holarctic seas’ coasts. These 2 euhalophyte species represent a group of the allochthonous elements that came from to the Arctic coasts the Middle Asia in the Pliocene-Pleistocene time. In our study, we evaluated structural and functional characteristics of populations of the two species along the tidal gradient. We found that vitality-ontogenetic structure of the populations and their biomorphological characteristics significantly differ depending on the tidal level and substrate structure. The different adaptive peculiarities of these species growing in these habitats were observed. Along the gradient from sea level to the native shore, the biomorphological indexes (number of shoots per plant, number of leaves per shoots, leaves parameters, length of the floriferous stem and spike, dry mass of aboveground shoots of plants) of the Triglochin maritima populations significantly decreased, while the same indexes of the Plantago maritima populations increased. The obtained results show the significant variability of all morphometric parameters of vegetative organs as well as generative features along the tidal gradient of these circumpolar plant species.

Socio-economic development scenarios of the White Sea regions.

2021 ◽  
pp. 52-69
Author(s):  
Anna E. Kurilo ◽  
◽  
Pavel V. Druzhinin ◽  
Keyword(s):  
Economic Development ◽  
Catchment Area ◽  
White Sea ◽  
The Arctic ◽  
Arctic Zone ◽  
The White Sea ◽  
Development Scenarios ◽  
Arctic Regions ◽  
Macroeconomic Indicators ◽  
Scenario Approach

In the process of creating a national system of strategic planning and within the framework of normative economics, the scenario approach provides opportunities for constructing goals and directions of socio-economic territories development. Being a planning tool the scenario approach allows forming the directions of regional development. These processes take particular relevance for the regions of our country that are the parts of the Arctic zone, especially in increased interest and attention to these territories resources from other external agents. The main aim of this paper is to elaborate development scenarios for the regions, which are fully or partially included in the Arctic zone and the White Sea catchment area. Based on the dynamics analysis of the main macroeconomic indicators and development trends for 1990–2019, the dependence of indicators for forecasting socio-environmental and economic development of these regions, was built. We applied scenario approach to describe possible development scenarios of Arctic regions in the White Sea catchment area. The novelty of the work is the construction of matrix of development scenarios of the Arctic regions, united by belonging to the White Sea catchment area. The analysis results of macroeconomic indicators for three elements of sustainable development show that the regions have rather weak economic development, stagnation of social indicators and difficult environmental situation. We outlined the problems constraining the development of Arctic regions in the White Sea catchment area and the directions to their solutions. To reach the trajectory of sustainable development is possible under condition of coordination and implementation of the measures taken by the state and regional authorities. This scenario of development strategy according to the innovation trajectory will allow to consolidate activity of federal, regional and municipal authorities of these territories. The integrated development program of the Arctic regions in the White Sea catchment area can be a coordinating platform.

On the distribution of the Arctic endemic alga Laminaria solidungula (Laminariales) in the White Sea

2021 ◽  
Vol 55 (2) ◽  
pp. 325-333
Author(s):  
T. A. Mikhaylova
Keyword(s):  
Global Warming ◽  
Environmental Conditions ◽  
Brown Alga ◽  
White Sea ◽  
The Arctic ◽  
The White Sea ◽  
Anatomical Features ◽  
Growth And Reproduction

The morphological and anatomical features of the specimens of the brown alga Laminaria solidungula collected in the White Sea are provided. Environmental conditions for the growth and reproduction of this species in the White Sea are analyzed. The probable timing of penetration of this species into the White Sea and possible scenarios of changes in its distribution in response to global warming are discussed.

Microsatellite Variability of the Arctic Rainbow Smelt Osmerusdentex from the White Sea

2019 ◽  
Vol 55 (6) ◽  
pp. 770-773 ◽  
Author(s):  
A. V. Semenova ◽  
A. N. Stroganov ◽  
E. V. Ponomareva ◽  
K. I. Afanas’ev
Keyword(s):  
White Sea ◽  
The Arctic ◽  
The White Sea ◽  
Rainbow Smelt

scholarly journals Sensitivity of the coupled model of the White Sea dynamics and biochemistry

2015 ◽  
Vol 2 ◽  
pp. 82
Author(s):  
Ilya Chernov ◽  
Alexey Tolstikov
Keyword(s):  
White Sea ◽  
Coupled Model ◽  
Initial Distribution ◽  
The Arctic ◽  
Boundary Values ◽  
The White Sea ◽  
Thermal Dynamics ◽  
Software Complex ◽  
Long Run ◽  
Run Off

<p class="R-AbstractKeywords"><span lang="EN-US">The JASMINE model based on the prof. N.G. Iakovlev's model of the Arctic Ocean (FEMAO) is the software complex for simulating hydrodynamics and thermal dynamics of a sea; we use the White Sea as an example and also have tried to model other seas. JASMINE allows coupling with special purpose blocks, such as data assimilation or simulation of the sea ecosystem. For that we chose the mature BFM model of pelagic sea biochemistry. An important question is sensitivity of the model with respect to the outer forcing, such as synoptic data (air temperature and pressure, cloud cover, precipitation, wind), boundary values on liquid boundaries, river run-off, initial distributions of the tracers. The White Sea is a convenient model region for such investigation because of dominating tides; thus boundary values become important, while initial distribution is expected not to influence on the results in the long run, at least. The biochemical system also depends on the boundary conditions strongly, and also reacts on the forcing variations. We describe the response of the sea subsystems to different variations of forcing, show what values are crucial and what is not important.</span></p>

scholarly journals COMPARATIVE STUDY OF POLYPHENOLS OF BROWN ALGAE OF THE BARENTS SEA AND THE WHITE SEA, AS WELL AS THE WATERS OF THE NORTH ATLANTIC

2020 ◽  
pp. 129-137
Author(s):  
Ekaterina Dmitriyevna Obluchinskaya ◽  
Lubov Viktorovna Zakharova
Keyword(s):  
Brown Algae ◽  
Barents Sea ◽  
White Sea ◽  
Raw Materials ◽  
Dry Mass ◽  
Biologically Active ◽  
The White Sea ◽  
Polyphenol Content ◽  
Norwegian Sea ◽  
The Barents Sea

The polyphenol content in the brown algae of the Barents, White Seas, as well as the water areas of the Northwest Atlantic (the Norwegian Sea, the Faxflow bay of the Atlantic Ocean) located in Russia, Norway, Greenland, and Iceland are compared. Algae of the following species were used for this study: Fucus vesiculosus, Fucus spiralis, Fucus serratus, Ascophyllum nodosum, Fucus evanescens. It was found that the most productive raw materials for the extraction of polyphenolic compounds are brown algae F. vesiculosus, growing in Zavalishin Bay of the Barents Sea (Russia): the highest polyphenol content (14.4%) in the summer of 2019 was noted here. Polyphenols detected in F. vesiculosus in the summer from the White Sea on about. Great burnt (13.3%) (Russia), as well as in the Norwegian Sea, Cape Sydspissen (11.6%) (Norway). The minimum content of polyphenols was found in F. spiralis (0.7% dry mass) on the coast of Iceland (Faxflow bay), a low content of polyphenols was characteristic of all types of algae from this location (0.7–2.4%). Three-way analysis of variance (MANOVA) on the example of three types of algae (F. vesiculosus, F. spiralis, A. nodosum) showed that all the studied factors (place of collection, type of algae, fertile phase) are significant. The most significant factor affecting the accumulation of polyphenols by brown algae is the location of algae growth. The high content of polyphenols in the types of algae we studied from Russian water areas allows us to recommend their use as food and medicinal raw materials, as well as raw materials for biologically active additives.

MODELING STORM SURGES AND WAVE CLIMATE IN THE WHITE AND BARENTS SEAS

2017 ◽  
Author(s):  
Anastasia Korablina ◽  
Anastasia Korablina ◽  
Victor Arkhipkin ◽  
Victor Arkhipkin ◽  
Sergey Dobrolyubov ◽  
...  
Keyword(s):  
Storm Surge ◽  
Barents Sea ◽  
White Sea ◽  
Storm Surges ◽  
Wave Climate ◽  
The Arctic ◽  
Economic Losses ◽  
The White Sea ◽  
Linear Interaction ◽  
The Barents Sea

Russian priority - the study of storm surges and wave climate in the Arctic seas due to the active development of offshore oil and gas. Researching the formation of storm surge and wave are necessary for the design and construction of facilities in the coastal zone, as well as for the safety of navigation. An inactive port ensues considerable economic losses. It is important to study the variability of storm surges, wave climate in the past and forecast the future. Consequently, this information would be used for planning the development of the Arctic in accordance with the development programme 2020. Mathematical modeling is used to analyze the characteristics of storm surges and wave climate formation from 1979 to 2010 in the White and Barents Seas. Calculation of storm surge heights in the seas is performed using model AdCirc on an unstructured grid with a 20 km pitch in the Barents Sea and 100 m in the White Sea. The model AdCirc used data of wind field reanalysis CFSv2. The simulation of storm surge was conducted with/without pressure, sea state, tides. A non-linear interaction of the surge and tide during the phase of destruction storm surge was detected. Calculation of the wave climate performed using SWAN spectral wave model on unstructured grids. Spatial resolution is 500 m-5 km for the White Sea and 10-20 km for the Barents Sea. NCEP/CFSR (~0.3°) input wind forcing was used. The storminess of the White Sea tends to increase from 1979 to 1991, and then decrease to minimum at 2000 and increase again till 2010.

MODELING STORM SURGES AND WAVE CLIMATE IN THE WHITE AND BARENTS SEAS

2017 ◽  
Author(s):  
Anastasia Korablina ◽  
Anastasia Korablina ◽  
Victor Arkhipkin ◽  
Victor Arkhipkin ◽  
Sergey Dobrolyubov ◽  
...  
Keyword(s):  
Storm Surge ◽  
Barents Sea ◽  
White Sea ◽  
Storm Surges ◽  
Wave Climate ◽  
The Arctic ◽  
Economic Losses ◽  
The White Sea ◽  
Linear Interaction ◽  
The Barents Sea

Russian priority - the study of storm surges and wave climate in the Arctic seas due to the active development of offshore oil and gas. Researching the formation of storm surge and wave are necessary for the design and construction of facilities in the coastal zone, as well as for the safety of navigation. An inactive port ensues considerable economic losses. It is important to study the variability of storm surges, wave climate in the past and forecast the future. Consequently, this information would be used for planning the development of the Arctic in accordance with the development programme 2020. Mathematical modeling is used to analyze the characteristics of storm surges and wave climate formation from 1979 to 2010 in the White and Barents Seas. Calculation of storm surge heights in the seas is performed using model AdCirc on an unstructured grid with a 20 km pitch in the Barents Sea and 100 m in the White Sea. The model AdCirc used data of wind field reanalysis CFSv2. The simulation of storm surge was conducted with/without pressure, sea state, tides. A non-linear interaction of the surge and tide during the phase of destruction storm surge was detected. Calculation of the wave climate performed using SWAN spectral wave model on unstructured grids. Spatial resolution is 500 m-5 km for the White Sea and 10-20 km for the Barents Sea. NCEP/CFSR (~0.3°) input wind forcing was used. The storminess of the White Sea tends to increase from 1979 to 1991, and then decrease to minimum at 2000 and increase again till 2010.

Zoologisch-botanische Exkursionen an das Weiße Meer – seine Fischgemeinschaft und historische Verbindungen zur Ostsee

2021 ◽  
Vol 58 ◽  
pp. 131-145
Author(s):  
Helmut M. Winkler
Keyword(s):  
Baltic Sea ◽  
Fish Species ◽  
Fish Community ◽  
White Sea ◽  
The Arctic ◽  
The White Sea ◽  
The Baltic Sea ◽  
Marginal Sea ◽  
Glacial Relicts ◽  
The Baltic

Ragnar Kinzelbach hat das langjährige Projekt der zoologisch-botanischen Austauschpraktika der Moskauer und der Rostocker Universität mit der ihm eigenen Vehemenz tatkräftig unterstützt und begleitet. Zweimal nahm er am Feldpraktikum in Russland am Weißen Meer teil. In diesem Beitrag wird dieses Randmeer vorgestellt und mit der Ostsee verglichen, einschließlich der postglazialen Entwicklung. Ein bis heute noch nicht endgültig entschiedenes Thema ist die Diskussion um Glazialrelikte der Ostseefauna, die zum Teil mit dem Weißen Meer in Verbindung stehen. Es wird eine Übersicht der Fischgemeinschaft des bis in die Arktis reichenden Weißen Meeres gegeben und auf Besonderheiten verwiesen. Mit weniger als 50 marinen Fischarten, von denen nur 32 etabliert sind, ist es sehr artenarm. 23 Fischarten konnten als Belege für die Zoologische Sammlung der Rostocker Universität gesammelt werden. Zoological and botanical excursions to the White Sea – its fish community and historical connections to the Baltic Sea Abstract: With his characteristic vehemence, Ragnar Kinzelbach actively supported and accompanied the longstanding zoological-botanical students exchange project between the universities of Moscow and Rostock. Twice he participated in the field courses in Russia at the White Sea. This paper presents this marginal sea in comparison with the Baltic Sea, including the postglacial development. A topic that has not yet been conclusively resolved is the discussion of glacial relicts of the Baltic fauna, some of which are associated with the White Sea. An overview of the fish community of the White Sea, which extends into the Arctic, is given and special features are pointed out. It is a very species-poor sea, with fewer than 50 marine fish species, of which only 32 are established. 23 fish species were collected for the zoological collection of the Rostock University

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