The photosynthetic apparatus of the Barents Sea Fucales (Phaeophyta) after polar night

2004 ◽  
Vol 6 (4) ◽  
pp. 341-354 ◽  
Author(s):  
I. V. Tropin ◽  
M. V. Makarov
2016 ◽  
Vol 469 (1) ◽  
pp. 182-186 ◽  
Author(s):  
T. I. Shirokolobova ◽  
A. P. Zhichkin ◽  
M. P. Venger ◽  
V. V. Vodopyanova ◽  
D. V. Moiseev

2020 ◽  
Vol 11 (4) ◽  
pp. 44-84
Author(s):  
E.I. Druzhkova ◽  
◽  
I.V. Berchenko ◽  
A.V. Vaschenko ◽  
M.P. Venger ◽  
...  

This paper presents some research results of the plankton laboratory MMBI RAS over the past 5 years. One of the main directions was the study of the structure of zooplankton communities and an assessment of their productivity off the coast of the Kola Peninsula and in the coastal waters of the Svalbard archipelago.Analysis of the vast perennial material revealed the main features of the spatial distribution of phytoplankton in the water area of the Pechora Sea. In the ice edge zone for nano-, micro-and zooplankton, the presence of ice edge effect in different seasons of the year is shown. It has been shown that in the Barents Sea, the Polar Front is not the boundary between various pelagic phytocenoses. During the polar night, virio-, bacterio-, phyto-and zooplankton were studied. When studyingthe deep-sea Barents Sea shelf, an autochthonous community of microalgae was found, the lower distribution limit of which is 300 m isobath.


Author(s):  
Valeriy G. Yakubenko ◽  
Anna L. Chultsova

Identification of water masses in areas with complex water dynamics is a complex task, which is usually solved by the method of expert assessments. In this paper, it is proposed to use a formal procedure based on the application of the method of optimal multiparametric analysis (OMP analysis). The data of field measurements obtained in the 68th cruise of the R/V “Academician Mstislav Keldysh” in the summer of 2017 in the Barents Sea on the distribution of temperature, salinity, oxygen, silicates, nitrogen, and phosphorus concentration are used as a data for research. A comparison of the results with data on the distribution of water masses in literature based on expert assessments (Oziel et al., 2017), allows us to conclude about their close structural similarity. Some differences are related to spatial and temporal shifts of measurements. This indicates the feasibility of using the OMP analysis technique in oceanological studies to obtain quantitative data on the spatial distribution of different water masses.


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