Spatial distribution of marine benthic habitats in the Estonian coastal sea, northeastern Baltic Sea

2013 ◽  
Vol 62 (3) ◽  
pp. 165 ◽  
Author(s):  
G Martin ◽  
J Kotta ◽  
T Möller ◽  
K Herkül
Keyword(s):  
Spatial Distribution ◽  
Baltic Sea ◽  
Benthic Habitats ◽  
Coastal Sea

Chemical Characterization of Dissolved Organic Compounds from Coastal Sea Surface Microlayers (Baltic Sea, Germany)

2012 ◽  
Vol 46 (19) ◽  
pp. 10455-10462 ◽  
Author(s):  
Manuela van Pinxteren ◽  
Conny Müller ◽  
Yoshiteru Iinuma ◽  
Christian Stolle ◽  
Hartmut Herrmann
Keyword(s):  
Baltic Sea ◽  
Organic Compounds ◽  
Chemical Characterization ◽  
Sea Surface ◽  
Coastal Sea ◽  
Dissolved Organic Compounds

scholarly journals Characterization of soft-bottom benthic habitats of the Åland Islands, northern Baltic Sea

1996 ◽  
Vol 142 ◽  
pp. 235-245 ◽  
Author(s):  
E Bonsdorff ◽  
RJ Diaz ◽  
R Rosenberg ◽  
A Norkko ◽  
GR Cutter
Keyword(s):  
Baltic Sea ◽  
Soft Bottom ◽  
Benthic Habitats

Understanding the spatial distribution of subtidal reef assemblages in the southern Baltic Sea using towed camera platform imagery

2018 ◽  
Vol 207 ◽  
pp. 82-92 ◽  
Author(s):  
Kolja Beisiegel ◽  
Alexander Darr ◽  
Michael L. Zettler ◽  
René Friedland ◽  
Ulf Gräwe ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Baltic Sea ◽  
Southern Baltic Sea ◽  
Southern Baltic

Benthic Habitats and Benthic Communities in Southeastern Baltic Sea, Russian Sector

2012 ◽  
pp. 613-621 ◽  
Author(s):  
Elena Ezhova ◽  
Dmitry Dorokhov ◽  
Vadim Sivkov ◽  
Vladimir Zhamoida ◽  
Daria Ryabchuk ◽  
...  
Keyword(s):  
Baltic Sea ◽  
Benthic Communities ◽  
Benthic Habitats ◽  
Russian Sector

scholarly journals Evaluating impacts of bottom trawling and hypoxia on benthic communities at the local, habitat, and regional scale using a modelling approach

2019 ◽  
Vol 77 (1) ◽  
pp. 278-289 ◽  
Author(s):  
P D van Denderen ◽  
S G Bolam ◽  
R Friedland ◽  
J G Hiddink ◽  
K Norén ◽  
...  
Keyword(s):  
Baltic Sea ◽  
Spatial Scales ◽  
Benthic Communities ◽  
Regional Scale ◽  
The Baltic Sea ◽  
Benthic Habitats ◽  
Bottom Trawling ◽  
Management Actions ◽  
The Baltic ◽  
Local Habitat

Abstract Bottom trawling disturbance and hypoxia are affecting marine benthic habitats worldwide. We present an approach to predict their effects on benthic communities, and use the approach to estimate the state, the biomass relative to carrying capacity, of the Baltic Sea at the local, habitat, and regional scale. Responses to both pressures are expected to depend on the longevity of fauna, which is predicted from benthic data from 1558 locations. We find that communities in low-salinity regions mostly consist of short-lived species, which are, in our model, more resilient than those of the saline areas. The model predicts that in 14% of the Baltic Sea region benthic biomass is reduced by at least 50%, whereas an additional 8% of the region has reductions of 10–50%. The effects of hypoxia occur over larger spatial scales and lead to a low state of especially deep habitats. The approach is based on a simple characterization of the benthic community, which comes with high uncertainty, but allows for the identification of benthic habitats that are at greatest risk and prioritization of management actions at the regional scale. This information supports the development of sustainable approaches to manage impact of human activities on benthic ecosystems.

scholarly journals Mechanisms of variability in decadal sea-level trends in the Baltic Sea over the 20th century

2017 ◽  
Vol 8 (4) ◽  
pp. 1031-1046 ◽  
Author(s):  
Sitar Karabil ◽  
Eduardo Zorita ◽  
Birgit Hünicke
Keyword(s):  
Regression Model ◽  
Baltic Sea ◽  
Sea Level ◽  
Atmospheric Circulation ◽  
Data Sets ◽  
Climatic Data ◽  
The Baltic Sea ◽  
Underlying Factor ◽  
Coastal Sea ◽  
The Baltic

Abstract. Coastal sea-level trends in the Baltic Sea display decadal-scale variations around a long-term centennial trend. In this study, we analyse the spatial and temporal characteristics of the decadal trend variations and investigate the links between coastal sea-level trends and atmospheric forcing on a decadal timescale. For this analysis, we use monthly means of sea-level and climatic data sets. The sea-level data set is composed of long tide gauge records and gridded sea surface height (SSH) reconstructions. Climatic data sets are composed of sea-level pressure, air temperature, precipitation, evaporation, and climatic variability indices. The analysis indicates that atmospheric forcing is a driving factor of decadal sea-level trends. However, its effect is geographically heterogeneous. This impact is large in the northern and eastern regions of the Baltic Sea. In the southern Baltic Sea area, the impacts of atmospheric circulation on decadal sea-level trends are smaller. To identify the influence of the large-scale factors other than the effect of atmospheric circulation in the same season on Baltic Sea sea-level trends, we filter out the direct signature of atmospheric circulation for each season separately on the Baltic Sea level through a multivariate linear regression model and analyse the residuals of this regression model. These residuals hint at a common underlying factor that coherently drives the decadal sea-level trends in the whole Baltic Sea. We found that this underlying effect is partly a consequence of decadal precipitation trends in the Baltic Sea basin in the previous season. The investigation of the relation between the AMO index and sea-level trends implies that this detected underlying factor is not connected to oceanic forcing driven from the North Atlantic region.

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