scholarly journals Seasonal fluctuations in macrobenthic fauna of theFucus belt in kiel fjord (western baltic sea)

1983 ◽  
Vol 36 (3) ◽  
pp. 277-283 ◽  
Author(s):  
K. Anders ◽  
H. Möller
eEarth ◽  
2008 ◽  
Vol 3 (1) ◽  
pp. 37-49 ◽  
Author(s):  
A. Nikulina ◽  
I. Polovodova ◽  
J. Schönfeld

Biofouling ◽  
2015 ◽  
Vol 31 (4) ◽  
pp. 363-377 ◽  
Author(s):  
Esther Rickert ◽  
Ulf Karsten ◽  
Georg Pohnert ◽  
Martin Wahl

Author(s):  
Kevin Schröder ◽  
Elke Kossel ◽  
Mark Lenz

AbstractWe assessed the abundance of microplastics (0.2–5 mm) in drift line sediments from three sites in Kiel Fjord, Western Baltic Sea. The first site is intensively used by beach visitors, the second is in close proximity to a sewage plant and the third is polluted with large-sized plastic litter. Samples were split into three grain size classes (0.2–0.5, 0.5–1, 1–5 mm), washed with calcium chloride solution, and filtered at 0.2 mm. Filters were then visually inspected, and a total of 180 fragments was classified as microplastics, of which 39% were analyzed using Raman spectroscopy. At the site that is close to a sewage plant as well as at the site with intense beach use, 1.8 and 4.5 particles (fibers plus fragments) per kg of dry sediment were found, respectively, while particle abundances reached 30.2 per kg of dry sediment at the site with high litter loads. Our data suggest that the fragmentation of large plastic debris at site seems to be a relevant source for microplastics in Western Baltic Sea beach sediments.


Author(s):  
Katarzyna Pajak

Regional sea level changes occur at different time scales. Global warming of the oceans, glacial and polar ice melting and meteorological or hydrological factors are major contributors to long-term sea level rise. In the recent years, a lot of attention has been paid to research concerning sea level change and seasonal fluctuations. The main objective of this paper was to determine the seasonal variability in the Baltic Sea level using satellite altimetry data for the period 1 January 2010 – 31 December 2014. The ANOVA analysis of variance was used in the research in order to estimate seasonal fluctuations. This study focused on investigate the monthly and annual amplitude in sea level anomalies over a given time period. The results from research showed that the amplitudes of fluctuations are the highest in winter and the smallest in summer in three analyzed points of the Baltic Sea. The results can bring valuable information about ongoing aspects in sea level changes, as a way of tracking climate change.


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