Processes of Early Diagenesis in the Arctic Seas (on the Example of the White Sea)

2018 ◽  
pp. 165-206
Author(s):  
Alla Yu. Lein ◽  
Alexander P. Lisitsyn
Keyword(s):  
White Sea ◽  
Early Diagenesis ◽  
The Arctic ◽  
The White Sea ◽  
Arctic Seas

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.

New data on life cycles for three species of Fellodistomidae (Digenea) in the White Sea

2020 ◽  
Vol 94 ◽  
Author(s):  
D. Krupenko ◽  
A. Uryadova ◽  
A. Gonchar ◽  
G. Kremnev ◽  
V. Krapivin
Keyword(s):  
Intermediate Host ◽  
White Sea ◽  
Taxonomic Status ◽  
Life Cycles ◽  
The White Sea ◽  
Arctic Seas ◽  
Buccinum Undatum ◽  
The Family ◽  
Second Intermediate Host ◽  
First Time

Abstract Few digeneans of the family Fellodistomidae are known from the Russian Arctic seas. The taxonomic status of these species, their life cycles and host range raised recurrent questions, some of which remain unanswered. To revise the species composition and life cycles of fellodistomids in the White Sea, we searched for them in several known and suspected hosts: wolffish, flatfishes (definitive), gastropods of the family Buccinidae (second intermediate) and protobranch bivalves (first intermediate). Species identification was based both on morphology and 28S ribosomal RNA gene sequences. We found Fellodistomum agnotum in the White Sea for the first time. Buccinum undatum was proved to be intermediate host of both F. agnotum and Fellodistomum fellis, and metacercariae of F. fellis were registered from two more buccinid species: Buccinum scalariforme and Neptunea despecta. We also found metacercariae of F. agnotum and F. fellis producing eggs in the second intermediate host. Two fellodistomids were found in protobranch bivalves: sporocysts and cercariae of Steringophorus furciger in Nuculana pernula, and sporocysts with large furcocercous cercariae in Ennucula tenuis. The latter were identified as F. agnotum by molecular analysis; thus, the entire life cycle of this species was reconstructed.

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>

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.

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