Articles | Volume 10, issue 2
https://doi.org/10.5194/esd-10-287-2019
https://doi.org/10.5194/esd-10-287-2019
Research article
 | 
26 Apr 2019
Research article |  | 26 Apr 2019

Tidal impacts on primary production in the North Sea

Changjin Zhao, Ute Daewel, and Corinna Schrum

Related authors

Variable organic matter stoichiometry enhances the biological drawdown of CO2 in the Northwest European shelf seas
Kubilay Timur Demir, Moritz Mathis, Jan Kossack, Feifei Liu, Ute Daewel, Christoph Stegert, Helmuth Thomas, and Corinna Schrum
EGUsphere, https://doi.org/10.5194/egusphere-2024-3449,https://doi.org/10.5194/egusphere-2024-3449, 2024
Short summary
Parameterisation toolbox for physical-biogeochemical model compatible with FABM. Case study: the coupled 1D GOTM-ECOSMO E2E for the Sylt-Romo Bight, North Sea
Hoa T. T. Nguyen, Ute Daewel, Neil Banas, and Corinna Schrum
EGUsphere, https://doi.org/10.5194/egusphere-2024-2710,https://doi.org/10.5194/egusphere-2024-2710, 2024
Short summary
Quantification and mitigation of bottom-trawling impacts on sedimentary organic carbon stocks in the North Sea
Lucas Porz, Wenyan Zhang, Nils Christiansen, Jan Kossack, Ute Daewel, and Corinna Schrum
Biogeosciences, 21, 2547–2570, https://doi.org/10.5194/bg-21-2547-2024,https://doi.org/10.5194/bg-21-2547-2024, 2024
Short summary
Compound flood events: analysing the joint occurrence of extreme river discharge events and storm surges in northern and central Europe
Philipp Heinrich, Stefan Hagemann, Ralf Weisse, Corinna Schrum, Ute Daewel, and Lidia Gaslikova
Nat. Hazards Earth Syst. Sci., 23, 1967–1985, https://doi.org/10.5194/nhess-23-1967-2023,https://doi.org/10.5194/nhess-23-1967-2023, 2023
Short summary
The 3D biogeochemical marine mercury cycling model MERCY v2.0 – linking atmospheric Hg to methylmercury in fish
Johannes Bieser, David J. Amptmeijer, Ute Daewel, Joachim Kuss, Anne L. Soerensen, and Corinna Schrum
Geosci. Model Dev., 16, 2649–2688, https://doi.org/10.5194/gmd-16-2649-2023,https://doi.org/10.5194/gmd-16-2649-2023, 2023
Short summary

Related subject area

Earth system interactions with the biosphere: ecosystems
Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle
Lina Teckentrup, Martin G. De Kauwe, Gab Abramowitz, Andrew J. Pitman, Anna M. Ukkola, Sanaa Hobeichi, Bastien François, and Benjamin Smith
Earth Syst. Dynam., 14, 549–576, https://doi.org/10.5194/esd-14-549-2023,https://doi.org/10.5194/esd-14-549-2023, 2023
Short summary
Persistent La Niñas drive joint soybean harvest failures in North and South America
Raed Hamed, Sem Vijverberg, Anne F. Van Loon, Jeroen Aerts, and Dim Coumou
Earth Syst. Dynam., 14, 255–272, https://doi.org/10.5194/esd-14-255-2023,https://doi.org/10.5194/esd-14-255-2023, 2023
Short summary
Spatiotemporal changes in the boreal forest in Siberia over the period 1985–2015 against the background of climate change
Wenxue Fu, Lei Tian, Yu Tao, Mingyang Li, and Huadong Guo
Earth Syst. Dynam., 14, 223–239, https://doi.org/10.5194/esd-14-223-2023,https://doi.org/10.5194/esd-14-223-2023, 2023
Short summary
Downscaling of climate change scenarios for a high-resolution, site-specific assessment of drought stress risk for two viticultural regions with heterogeneous landscapes
Marco Hofmann, Claudia Volosciuk, Martin Dubrovský, Douglas Maraun, and Hans R. Schultz
Earth Syst. Dynam., 13, 911–934, https://doi.org/10.5194/esd-13-911-2022,https://doi.org/10.5194/esd-13-911-2022, 2022
Short summary
Global climate change and the Baltic Sea ecosystem: direct and indirect effects on species, communities and ecosystem functioning
Markku Viitasalo and Erik Bonsdorff
Earth Syst. Dynam., 13, 711–747, https://doi.org/10.5194/esd-13-711-2022,https://doi.org/10.5194/esd-13-711-2022, 2022
Short summary

Cited articles

Allen, J. I., Siddorn, J. R., Blackford, J. C., and Gilbert, F. J.: Turbulence as a control on the microbial loop in a temperate seasonally stratified marine systems model, J. Sea Res., 52, 1–20, https://doi.org/10.1016/j.seares.2003.09.004, 2004. 
Arheimer, B., Dahné, J., Donnelly, C., Lindström, G., and Strömqvist, J.: Water and nutrient simulations using the HYPE model for Sweden vs. the Baltic Sea basin – Influence of input-data quality and scale, Hydrol. Res., 43, 315–329, https://doi.org/10.2166/nh.2012.010, 2012. 
Backhaus, J. O.: A three-dimensional model for the simulation of shelf sea dynamics, Dtsch. Hydrogr. Zeitschrift, 38, 165–187, 1985. 
Backhaus, J. O. and Hainbucher, D.: A finite difference general circulation model for shelf seas and its application to low frequency variability on the north european shelf, Elsev. Oceanogr. Serie., 45, 221–244, https://doi.org/10.1016/S0422-9894(08)70450-1, 1987. 
Bagniewski, W., Fennel, K., Perry, M. J., and D'Asaro, E. A.: Optimizing models of the North Atlantic spring bloom using physical, chemical and bio-optical observations from a Lagrangian float, Biogeosciences, 8, 1291–1307, https://doi.org/10.5194/bg-8-1291-2011, 2011. 
Download
Short summary
Our study highlights the importance of tides in controlling the spatial and temporal distributions North Sea primary production based on numerical experiments. We identified two different response chains acting in different regions of the North Sea. (i) In the southern shallow areas, strong tidal mixing dilutes phytoplankton concentrations and increases turbidity, thus decreasing NPP. (ii) In the frontal regions, tidal mixing infuses nutrients into the surface mixed layer, thus increasing NPP.
Altmetrics
Final-revised paper
Preprint