scholarly journals Growth rates of ten diatom species from the Barents Sea at different irradiances and day lengths

1990 ◽  
Vol 64 ◽  
pp. 169-173 ◽  
Author(s):  
M Gilstad ◽  
E Sakshaug
Keyword(s):  
Growth Rates ◽  
Barents Sea ◽  
Diatom Species ◽  
The Barents Sea

Do abiotic mechanisms determine interannual variability in length-at-age of juvenile Arcto-Norwegian cod?

2002 ◽  
Vol 59 (1) ◽  
pp. 57-65 ◽  
Author(s):  
Geir Ottersen ◽  
Kristin Helle ◽  
Bjarte Bogstad
Keyword(s):  
Growth Rates ◽  
Gadus Morhua ◽  
Barents Sea ◽  
Water Masses ◽  
Inverse Relation ◽  
Lower Growth ◽  
Density Dependent ◽  
The Barents Sea ◽  
The Mean ◽  
Dependent Growth

For the large Arcto-Norwegian stock of cod (Gadus morhua L.) in the Barents Sea, year-to-year variability in growth is well documented. Here three hypotheses for the observed inverse relation between abundance and the mean length-at-age of juveniles (ages 1–4) are suggested and evaluated. Based on comprehensive data, we conclude that year-to-year differences in length-at-age are mainly determined by density-independent mechanisms during the pelagic first half year of the fishes' life. Enhanced inflow from the southwest leads to an abundant cohort at the 0-group stage being distributed farther east into colder water masses, causing lower postsettlement growth rates. We can not reject density-dependent growth effects related to variability in food rations, but our data do not suggest this to be the main mechanism. Another hypothesis suggests that lower growth rates during periods of high abundance are a result of density-dependent mechanisms causing the geographic range of juveniles to extend eastwards into colder water masses. This is rejected mainly because year-to-year differences in mean length are established by age 2, which is too early for movements over large distances.

scholarly journals Microzooplankton Growth Rates Examined across a Temperature Gradient in the Barents Sea

PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e86429 ◽  
Author(s):  
Gayantonia Franzè ◽  
Peter J. Lavrentyev
Keyword(s):  
Temperature Gradient ◽  
Growth Rates ◽  
Barents Sea ◽  
The Barents Sea

Population structure and growth rates at biogeographic extremes: A case study of the common cockle, Cerastoderma edule (L.) in the Barents Sea

2010 ◽  
Vol 61 (4-6) ◽  
pp. 247-253 ◽  
Author(s):  
Evgeny Genelt-Yanovskiy ◽  
Alexey Poloskin ◽  
Andrei Granovitch ◽  
Sophia Nazarova ◽  
Petr Strelkov
Keyword(s):  
Population Structure ◽  
Growth Rates ◽  
Barents Sea ◽  
Cerastoderma Edule ◽  
The Barents Sea ◽  
The Common ◽  
Common Cockle

scholarly journals Trends in age-at-maturity and growth parameters of female Northeast Atlantic harp seals, Pagophilus groenlandicus (Erxleben, 1777)

2003 ◽  
Vol 60 (5) ◽  
pp. 1018-1032 ◽  
Author(s):  
Anne Kirstine Frie ◽  
Vladimir A Potelov ◽  
Michael C.S Kingsley ◽  
Tore Haug
Keyword(s):  
Growth Rates ◽  
Barents Sea ◽  
Age Distribution ◽  
Body Growth ◽  
Distribution Area ◽  
Age At Maturity ◽  
Greenland Sea ◽  
The Barents Sea ◽  
Pagophilus Groenlandicus

Abstract We analyzed and compared trends in age-at-maturity and body growth in the Greenland Sea and Barents Sea stocks of harp seals, Pagophilus groenlandicus, from the early 1960s to the early 1990s. Mean and median age at sexual maturity (MAMPM and MdAM) were estimated from Richards curves fit to age-specific proportions mature. No long-term trends were found in the Greenland Sea seals, where a common value of MAMPM (5.6 years) and MdAM (4.8 years) could be fit to samples from 1959 through 1990. There were also no significant changes in length-at-age of molting females between 1964 and 1987. For Barents Sea harp seals, MAMPM increased significantly from 5.4 years in the period 1962–1972 to 6.6 years in 1976–1985 and 8.2 years in 1988–1993, concurrently with a decline in body growth rates. Tests on MdAM also showed an increasing trend, but the grouping of samples was slightly different. Estimates of MAMPM for the Barents Sea stock were similar to previously published back-calculated values of MAM, but simulations showed that this method is sensitive to the age distribution of the sample, thus complicating comparisons between samples with different age structures. The high values of MAMPM and low growth rates in the Barents Sea stock in the late 1980s to early 1990s coincided with severe depletion of important prey species in the Barents Sea, reports of mass invasions of harp seals along the Norwegian coast and indications of reduced body condition. All these are consistent with a hypothesis of reduced per-capita resource levels within the distribution area of Barents Sea harp seals at that time, but no cause-and-effect relationship for the long-term trend in age-at-maturity can be established.

Method application of optimal multi-parameter analysis to assess the distribution of water masses as an example of CTD data of the Barents Sea in summer 2017

2019 ◽  
pp. 38-51
Author(s):  
Valeriy G. Yakubenko ◽  
Anna L. Chultsova
Keyword(s):  
Barents Sea ◽  
Field Measurements ◽  
Structural Similarity ◽  
Water Masses ◽  
Parameter Analysis ◽  
Water Dynamics ◽  
Phosphorus Concentration ◽  
Nitrogen And Phosphorus ◽  
The Barents Sea ◽  
Expert Assessments

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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