Influence of sea ice on the composition of the spring phytoplankton bloom in the northern Baltic Sea

Polar Biology ◽  
1998 ◽  
Vol 20 (1) ◽  
pp. 1-8 ◽  
Author(s):  
P. Haecky ◽  
S. Jonsson ◽  
A. Andersson
Keyword(s):  
Sea Ice ◽  
Baltic Sea ◽  
Phytoplankton Bloom ◽  
Spring Phytoplankton Bloom

scholarly journals An estimation of the quantitative impacts of copepod grazing on an under sea-ice spring phytoplankton bloom in western Baffin Bay, Canadian Arctic

Elem Sci Anth ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Makoto Sampei ◽  
Louis Fortier ◽  
Patrick Raimbault ◽  
Kohei Matsuno ◽  
Yoshiyuki Abe ◽  
...  
Keyword(s):  
Sea Ice ◽  
Primary Production ◽  
Phytoplankton Bloom ◽  
Grazing Rate ◽  
Grazing Pressure ◽  
Spring Phytoplankton Bloom ◽  
Baffin Bay ◽  
Chl A ◽  
Copepod Grazing ◽  
The Impact

This study aimed to quantify the impact of copepod grazing on the productivity of phytoplankton during an under sea-ice spring phytoplankton bloom (USPB) in western Baffin Bay. To quantify positive and/or negative impacts of copepod grazing on primary production and the interaction between copepod grazing and phytoplankton species, we sampled seawater and zooplankton under the landfast sea ice every 2–3 days between May 24 and July 10, 2016. Samples were analyzed for estimation of primary production, chlorophyll-a (chl-a) concentration, diatom abundance, and copepod fecal pellet (FP) production/grazing rate. Analyses of chl-a concentration, primary production, and FP production/grazing rate revealed clear temporal changes and a mismatch between primary production and copepod consumption. The FP production/grazing rate reached a maximum (9.4/31.2 mg C m–2 d–1) on June 16 before the USPB phase and suddenly decreased to 0.7/2.4 mg C m–2 d–1 on June 21, despite an increase in primary production to 74.0 mg C m–2 d–1. The copepod grazing rate (3.7 mg C m–2 d–1) was low relative to primary production (344.6 mg C m–2 d–1) during the USPB phase (after June 20). While our estimates illustrate that copepod grazing did not limit the maximum daily primary production during the USPB, the low grazing pressure (2% of primary production) may have been an additional contributor to the reduction in total primary productivity at the end of the USPB period due primarily to the low supply of regenerated nitrogen-containing nutrients to drive regenerated production.

The Baltic Sea spring phytoplankton bloom in a changing climate: an experimental approach

2012 ◽  
Vol 159 (11) ◽  
pp. 2479-2490 ◽  
Author(s):  
Ulrich Sommer ◽  
Nicole Aberle ◽  
Kathrin Lengfellner ◽  
Aleksandra Lewandowska
Keyword(s):  
Baltic Sea ◽  
Experimental Approach ◽  
Phytoplankton Bloom ◽  
The Baltic Sea ◽  
Spring Phytoplankton Bloom ◽  
Changing Climate ◽  
The Baltic

Gametogenesis and the reproductive cycle in the deep-sea anemone Paracalliactis stephensoni (Cnidaria: Actiniaria)

1990 ◽  
Vol 70 (1) ◽  
pp. 163-172 ◽  
Author(s):  
Michel Praet-Van
Keyword(s):  
Organic Matter ◽  
Shallow Water ◽  
Deep Sea ◽  
Phytoplankton Bloom ◽  
Sea Anemone ◽  
Bay Of Biscay ◽  
Sea Anemones ◽  
Spring Phytoplankton Bloom ◽  
Sea Floor ◽  
Ultrastructural Investigation

This ultrastructural investigation of gametogenesis in a deep-sea anemone of the Bay of Biscay trawled around 2000 m depth, contributes to the knowledge of biology and strategy of reproduction of deep-sea benthos.This sea anemone is dioecious. The sperm appears very similar to those of shallow water sea anemones of the genus, Calliactis. The ultrastructural investigation of oogenesis allows the characteristics of the stages of previtellogenesis and vitellogenesis to be defined. The latter begins with a period of lipogenesis correlated with the formation of a trophonema. Mature oocytes measure up to 180 (im in diameter. Study of spermatogenesis and oogenesis reveals that spawning occurs in April/May. In males, the main area of testicular cysts, full of sperm, reaches maximal development from March to May and, in females, the percentage of mature oocytes decreases from 33% in April to 1% in May.Spawning may be induced by the advent in the deep-sea of the products of the spring phytoplankton bloom. This period of spawning, during the increased deposition of organic matter to the deep-sea floor, may be an advantageous strategy for early development of Paracalliactis.

Discovery of bacterial polyhydroxyalkanoate synthase (PhaC)-encoding genes from seasonal Baltic Sea ice and cold estuarine waters

Extremophiles ◽  
2014 ◽  
Vol 19 (1) ◽  
pp. 197-206 ◽  
Author(s):  
Katariina Pärnänen ◽  
Antti Karkman ◽  
Marko Virta ◽  
Eeva Eronen-Rasimus ◽  
Hermanni Kaartokallio
Keyword(s):  
Sea Ice ◽  
Baltic Sea ◽  
Estuarine Waters ◽  
Polyhydroxyalkanoate Synthase ◽  
Encoding Genes

Application of the Regional Ocean Modelling System (ROMS) for Baltic Sea area

2021 ◽  
Author(s):  
Maciej Muzyka ◽  
Jaromir Jakacki ◽  
Anna Przyborska
Keyword(s):  
Sea Ice ◽  
Baltic Sea ◽  
Atmospheric Model ◽  
Horizontal Resolution ◽  
Shortwave Radiation ◽  
Ocean Modelling ◽  
Efficient System ◽  
Curvilinear Grid ◽  
The Baltic ◽  
Modelling System

<p>The Regional Ocean Modelling System has been begun to implement for region of Baltic Sea.  A preliminary curvilinear grid with horizontal resolution ca. 2.3 km has been prepared based on the grid, which was used in previous application in our research group (in Parallel Ocean Program and in standalone version of Los Alamos Sea Ice Model - CICE).  Currently the grid has 30 sigma layers, but the final number of levels will be adjusted accordingly.</p><p>So far we’ve successfully compiled the model on our machine, run test cases and created Baltic Sea case, which is working with mentioned Baltic grid. The following parameters: air pressure, humidity, surface temperature, long and shortwave radiation, precipitation and wind components are used as an atmospheric forcing. The data arrive from our operational atmospheric model - Weather Research and Forecasting Model (WRF).</p><p>Our main goal is to create efficient system for hindcast and forecast simulations of Baltic Sea together with sea ice component by coupling ROMS with CICE. The reason for choosing these two models is an active community that takes care about model’s developments and updates. Authors also intend to work more closely with the CICE model to improve its agreement with satellite measurements in the Baltic region.<br><br>Calculations were carried out at the Academic Computer Centre in Gdańsk.</p>

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