scholarly journals Diet and trophic structure of fishes in the Barents Sea: The Norwegian-Russian program “Year of stomachs” 2015 – Establishing a baseline

2020 ◽  
Vol 183 ◽  
pp. 102262 ◽  
Author(s):  
Elena Eriksen ◽  
Aleksander N. Benzik ◽  
Andrey V. Dolgov ◽  
Hein Rune Skjoldal ◽  
Mikko Vihtakari ◽  
...  
2021 ◽  
pp. 352-369
Author(s):  
N.V. Denisenko ◽  
◽  
S.G. Denisenko ◽  

Аннотация на английском языке: Based on the analysis of retrospective and recent materials, the species richness of the bottom fauna and the long-term variability of the quantitative characteristics of zoobenthos of the Barents Sea are considered. The role of key taxa in the formation of benthic biomass and its trophic structure is indicated. The negative impact of bottom trawling on benthic fauna is shown and the most vulnerable areas in the basin are identified.


2021 ◽  
pp. 102663
Author(s):  
Elena Eriksen ◽  
Hein Rune Skjoldal ◽  
Andrey V. Dolgov ◽  
Espen Strand ◽  
Felicia Keulder-Stenevik ◽  
...  

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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