scholarly journals Extraction of sea temperature in the Barents Sea by a scale space multiresolution method – prospects for Atlantic salmon

2016 ◽  
Vol 44 (13) ◽  
pp. 2317-2336 ◽  
Author(s):  
Leena Pasanen ◽  
Päivi Laukkanen-Nevala ◽  
Ilkka Launonen ◽  
Sergey Prusov ◽  
Lasse Holmström ◽  
...  
2013 ◽  
Vol 9 (9) ◽  
pp. 895-907 ◽  
Author(s):  
Bjarte Bogstad ◽  
Gjert Endre Dingsør ◽  
Randi B. Ingvaldsen ◽  
Harald Gjøsæter

2019 ◽  
Vol 25 ◽  
pp. 1-13
Author(s):  
Ilya V. Serykh ◽  
Andrey G. Kostianoy

Analysis of the monthly average temperature data of the Barents Sea at various depths for the period 1948-2016 showed its growth, which accelerated significantly since the mid-1980s. Against the background of this growth, interannual variability was found over periods of 2 to 7 years and about 10 years. It is shown that periods of this variability can be associated, respectively, with El Nino - Southern Oscillation and the North Atlantic Oscillation. It has been hypothesized that the Global Atmospheric Oscillation may be the synchronizing mechanism of the interannual variability of the tropics of the Pacific Ocean, the North Atlantic and the Barents Sea. Interdecadal changes with a period of about 15 years were also found, which are most likely related to surface temperature anomalies carried by the North Atlantic Current.


Fisheries ◽  
2020 ◽  
Vol 2020 (3) ◽  
pp. 32-36
Author(s):  
Sergey Dolotov ◽  
Igor Samokhvalov

This paper describes variations in the abundance of Atlantic salmon in the Ura River from 1958 to 2019. In 1993 and 1998, a decrease in the number of spawners with respect to the conservation limit was observed. Positive trends in the abundance of parr has been observed since 2002, which indicates an unsteady increase in the number of spawners to the precautionary biological limit. Illegal fishery and spreading of salmon diseases are considered to pose threats to the stock status of Atlantic salmon.


2021 ◽  
Author(s):  
Yann Czorlich ◽  
Tutku Aykanat ◽  
Jaakko Erkinaro ◽  
Panu Orell ◽  
Craig R Primmer

Understanding the drivers of evolution is a fundamental aim in biology. However, identifying the evolutionary impacts of human activities, both direct and indirect, is challenging because of lack of temporal data and limited knowledge of the genetic basis of most traits1. Atlantic salmon is a species exposed to intense anthropogenic pressures during its anadromous life cycle. Previous research has shown that salmon age at maturity has evolved towards earlier maturation over the last 40 years, with an 18% decrease in the allele associated with late maturation at the large-effect vgll3 locus; but the drivers of this change remain unknown. Here, we link genetic and phenotypic changes in a large Atlantic salmon population with salmon prey species biomass in the Barents Sea, temperature, and fishing effort in order to identify drivers of age at maturity evolution. We show that age at maturity evolution is associated with two different types of fisheries induced evolution acting in opposing directions: an indirect effect linked with commercial harvest of a salmon prey species (capelin) at sea (selection against late maturation), and a direct effect due to temporal changes in net fishing pressure in the river (surprisingly, selection against early maturation). Although the potential for direct and indirect evolutionary effects of fishing have been acknowledged, empirical evidence for induced changes at the genetic level has been lacking. As capelin are primarily harvested to produce fish meal and oil for aquaculture, we hereby identify an indirect path by which Atlantic salmon aquaculture may negatively affect wild populations.


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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