Publications by authors named "Ute Daewel"

This study evaluates deployment strategies for artificial oxygenation devices to mitigate coastal hypoxia, particularly in mariculture regions. Focusing on a typical mariculture region in the coastal waters of China, we examined the combined effects of topography, hydrodynamics, and biogeochemical processes. A high-resolution three-dimensional physical-biogeochemical coupled model, validated against observational data from three summer cruises in 2020, accurately captured key drivers of hypoxia.

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Article Synopsis
  • Projecting the effects of climate change on Arctic marine food webs and fisheries is complex because of the close ties between biology and ice conditions.
  • A food web model called StrathE2EPolar was used to simulate how climate change impacts fisheries in the Barents Sea, based on predictions from the NEMO-MEDUSA climate model.
  • By the 2040s, the Barents Sea is expected to be over 95% ice-free year-round and about 2°C warmer, leading to increased productivity for demersal fish like cod and haddock, but decreased reference points for planktivorous fish, creating challenges for ecosystems and fisheries management.
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Predicting fish stock variations on interannual to decadal time scales is one of the major issues in fisheries science and management. Although the field of marine ecological predictions is still in its infancy, it is understood that a major source of multi-year predictability resides in the ocean. Here we show the first highly skilful long-term predictions of the commercially valuable Barents Sea cod stock.

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Ocean warming can modify the ecophysiology and distribution of marine organisms, and relationships between species, with nonlinear interactions between ecosystem components potentially resulting in trophic amplification. Trophic amplification (or attenuation) describe the propagation of a hydroclimatic signal up the food web, causing magnification (or depression) of biomass values along one or more trophic pathways. We have employed 3-D coupled physical-biogeochemical models to explore ecosystem responses to climate change with a focus on trophic amplification.

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