Salinity variations of the surface water at the southern coast of the Baltic Sea in years 1950–2010

2016 ◽  
Vol 126 ◽  
pp. 110-118 ◽  
Author(s):  
Józef Piotr Girjatowicz ◽  
Małgorzata Świątek
2002 ◽  
Vol 17 (3) ◽  
pp. 12-1-12-14 ◽  
Author(s):  
Bo G. Gustafsson ◽  
Per Westman

2021 ◽  
Author(s):  
Christian Reeder ◽  
Carolin Löscher

<p>The Baltic Sea is characterised as a semi-enclosed brackish Sea that has experienced increased eutrophication, hypoxia, and increased temperature over the last ~100 years making Baltic Sea one of the most severely impacted oceanic environment by climate change. Biological fixation of dinitrogen gas (N<sub>2</sub>) is an essential process to make atmospheric N<sub>2</sub> available for marine life. This process is carried out by specialised organisms called diazotrophs and is catalysed by the energetic-consuming enzyme nitrogenase. Nitrogenases exist in three subtypes depending on their metal cofactors, (1) the most common molybdenum-dependent (Nif), (2) the vanadium-dependent (Vnf) and (3) the Iron-Iron-dependent nitrogenase (Anf). To date, the effect of climate change on those three enzyme subtypes and their potential role a future ocean is yet to be explored. The predicted ongoing oxygen loss in the ocean may limit Mo's availability and trigger a shift from the abundant Nif-type nitrogenase to Vnf or Anf and, therefore, a potential shift in the diazotrophic community. This study explored the climate change-related pressures on N<sub>2</sub> fixation and the diazotrophic community based on nifH and vnf/anfD amplicons. At the time of sampling, we found a post-bloom high-nutrient low-chlorophyll situation. Cyanobacterial groups, Nodularia and UCYN-A, dominated the diazotrophic community and showed a horizontal where UCYN-A were the dominant fixers at 20 m. Based on alternative nitrogenases amplicons, Rhodopseudomonas was the dominating microbe in the surface water. This paper presents the first hint of active nitrogenases in surface water and further establish UCYN-A as a significant player in Baltic Sea primary production.</p>


2009 ◽  
Vol 29 (7) ◽  
pp. 870-885 ◽  
Author(s):  
Anders Omstedt ◽  
Erik Gustafsson ◽  
Karin Wesslander

2019 ◽  
Vol 8 (29) ◽  
Author(s):  
Joanna Karczewska-Golec ◽  
Maja Kochanowska-Łyżen ◽  
Magdalena Bałut ◽  
Arkadiusz Piotrowski ◽  
Piotr Golec ◽  
...  

We present here the draft genome sequence of Paracoccus sp. strain 228, isolated from the Gulf of Gdańsk in the southern part of the Baltic Sea. The assembly contains 4,131,609 bp in 32 scaffolds.


2016 ◽  
Vol 36 (14) ◽  
pp. 4534-4547 ◽  
Author(s):  
Józef P. Girjatowicz ◽  
Małgorzata Świątek ◽  
Tomasz Wolski

2017 ◽  
Vol 46 (3) ◽  
Author(s):  
Małgorzata Pilecka-Rapacz ◽  
Wojciech Piasecki ◽  
Małgorzata Głoćko ◽  
Vytautas Kesminas ◽  
Józef Domagała ◽  
...  

AbstractThis is the first comprehensive study covering the parasite fauna of smelt,


2014 ◽  
Vol 11 (9) ◽  
pp. 10829-10858 ◽  
Author(s):  
P. Stålnacke ◽  
A. Pengerud ◽  
A. Vassiljev ◽  
E. Smedberg ◽  
C.-M. Mörth ◽  
...  

Abstract. In this paper, we estimate the surface water retention of nitrogen (N) in all the 117 drainage basins to the Baltic Sea with the use of a statistical model (MESAW) for source apportionment of riverine loads of pollutants. Our results show that the MESAW model was able to estimate the N load at the river mouth of 88 Baltic Sea rivers, for which we had observed data, with a sufficient degree of precision and accuracy. The estimated retention parameters were also statistically significant. Our results show that around 380 000 t of N are annually retained in surface waters draining to the Baltic Sea. The total annual riverine load from the 117 basins to the Baltic Sea was estimated to 570 000 t of N, giving a total surface water N retention of around 40%. In terms of absolute retention values, three major river basins account for 50% of the total retention in the 117 basins; i.e. around 104 000 t of N is retained in Neva, 55 000 t in Vistula and 32 000 t in Oder. The largest retention was found in river basins with a high percentage of lakes as indicated by a strong relationship between N retention (%) and share of lake area in the river drainage areas. For example in Göta älv, we estimated a total N retention of 72%, whereof 67% of the retention occurred in the lakes of that drainage area (Lake Vänern primarily). The obtained results will hopefully enable the Helsinki Commission (HELCOM) to refine the nutrient load targets in the Baltic Sea Action Plan (BSAP), as well as to better identify cost-efficient measures to reduce nutrient loadings to the Baltic Sea.


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