scholarly journals Functional diversity of the Barents Sea fish community

2014 ◽  
Vol 495 ◽  
pp. 205-218 ◽  
Author(s):  
MA Wiedmann ◽  
M Aschan ◽  
G Certain ◽  
A Dolgov ◽  
M Greenacre ◽  
...  
PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e62748 ◽  
Author(s):  
Michaela Aschan ◽  
Maria Fossheim ◽  
Michael Greenacre ◽  
Raul Primicerio

Author(s):  
A. Karasev

The paper gives information on the commercial Barents Sea fish parasites presented in the list of parasitological indicators of the safety of fish and their processed products, provided for by the Technical Regulation of the Eurasian Economic Union (EAEU TR 040/2016) “On the safety of fish and fish products”. Localization (liver, mesentery, muscles), the life cycle, the hosts within the water area of the parasitological monitoring of a large commercial sea water body ichthyofauna are shown.


2015 ◽  
Vol 55 (6) ◽  
pp. 854-857
Author(s):  
P. N. Zolotarev ◽  
R. A. Baymambetov
Keyword(s):  

2015 ◽  
Vol 72 (6) ◽  
pp. 1756-1768 ◽  
Author(s):  
Grégoire Certain ◽  
Benjamin Planque

Abstract Biodiversity is an increasingly important issue for the management of marine ecosystems. However, the proliferation of biodiversity indices and difficulties associated with their interpretation have resulted in a lack of clearly defined framework for quantifying biodiversity and biodiversity changes in marine ecosystems for assessment purpose. Recent theoretical and numerical developments in biodiversity statistics have established clear algebraic relationships between most of the diversity measures commonly used, and have highlighted those that most directly relates to the concept of biological diversity, terming them “true” diversity measures. In this study, we implement the calculation of these “true” diversity measures at the scale of a large-marine ecosystem, the Barents Sea. We applied hierarchical partitioning of biodiversity to an extensive dataset encompassing 10 years of trawl-surveys for both pelagic and demersal fish community. We quantify biodiversity and biodiversity changes for these two communities across the whole continental shelf of the Barents Sea at various spatial and temporal scales, explicitly identifying areas where fish communities are stable and variable. The method is used to disentangle areas where community composition is subject to random fluctuations from areas where the fish community is drifting over time. We discuss how our results can serve as a spatio-temporal biodiversity baseline against which new biodiversity estimates, derived from sea surveys, can be evaluated.


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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