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Effects of global warming on hypoxia in the Baltic Sea–North Sea transition zone.

Authors :
Bendtsen, Jørgen
Hansen, Jørgen L.S.
Source :
Ecological Modelling. Aug2013, Vol. 264, p17-26. 10p.
Publication Year :
2013

Abstract

Abstract: Hypoxic conditions (O2 <2mgL−1) are frequently observed in the relatively shallow and stratified North Sea–Baltic Sea transition zone. Inter-annual variability with more extensive hypoxia has been observed in years with calm weather conditions during late summer. A future warmer climate may increase hypoxia in the area due to combined effects from decreased oxygen solubility and increased respiration rates. Feedbacks from climate change can, therefore, amplify negative effects from eutrophication, such as hypoxia. Here we apply a high resolution three-dimensional ocean circulation model with a simple pelagic and benthic oxygen consumption model (OXYCON), based on the seasonal organic carbon budget in the area, and demonstrate that the model is able to simulate the temporal and spatial variability of the observed oxygen concentration in the bottom waters during a three-year period. The potential impact from a warmer climate was analysed in a sensitivity study with a 3°C warmer climate, and showed a significant increase of hypoxic bottom areas compared to present day conditions. The relative role of increased respiration and decreased oxygen solubility in the inflowing bottom water and at the surface was analysed and it was found that decreased solubility accounted for about 25% of the simulated decrease in bottom water oxygen concentration in the centre of the area in the early fall. A sensitivity study showed that the simulated effect from a 3°C temperature increase on the bottom water oxygen concentration could be compensated by a 30% reduction in the export production. The model simulations of the North Sea–Baltic Sea transition zone indicate a significant expansion of the hypoxic areas and a lengthening of the hypoxic period under a warmer climate. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
03043800
Volume :
264
Database :
Academic Search Index
Journal :
Ecological Modelling
Publication Type :
Academic Journal
Accession number :
89437111
Full Text :
https://doi.org/10.1016/j.ecolmodel.2012.06.018