Articles | Volume 14, issue 6
Biogeosciences, 14, 1419–1444, 2017
https://doi.org/10.5194/bg-14-1419-2017
Biogeosciences, 14, 1419–1444, 2017
https://doi.org/10.5194/bg-14-1419-2017

Research article 21 Mar 2017

Research article | 21 Mar 2017

Observing and modelling phytoplankton community structure in the North Sea

David A. Ford et al.

Related authors

Using feature-based verification methods to explore the spatial and temporal characteristics of the 2019 chlorophyll-a bloom season in a model of the European Northwest Shelf
Marion Mittermaier, Rachel North, Jan Maksymczuk, Christine Pequignet, and David Ford
Ocean Sci., 17, 1527–1543, https://doi.org/10.5194/os-17-1527-2021,https://doi.org/10.5194/os-17-1527-2021, 2021
Short summary
Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design
David Ford
Biogeosciences, 18, 509–534, https://doi.org/10.5194/bg-18-509-2021,https://doi.org/10.5194/bg-18-509-2021, 2021
Short summary
Assessing the role and consistency of satellite observation products in global physical–biogeochemical ocean reanalysis
David Andrew Ford
Ocean Sci., 16, 875–893, https://doi.org/10.5194/os-16-875-2020,https://doi.org/10.5194/os-16-875-2020, 2020
Short summary

Related subject area

Biogeochemistry: Coastal Ocean
Particulate organic carbon dynamics in the Gulf of Lion shelf (NW Mediterranean) using a coupled hydrodynamic–biogeochemical model
Gaël Many, Caroline Ulses, Claude Estournel, and Patrick Marsaleix
Biogeosciences, 18, 5513–5538, https://doi.org/10.5194/bg-18-5513-2021,https://doi.org/10.5194/bg-18-5513-2021, 2021
Short summary
Technical note: Novel triple O2 sensor aquatic eddy covariance instrument with improved time shift correction reveals central role of microphytobenthos for carbon cycling in coral reef sands
Alireza Merikhi, Peter Berg, and Markus Huettel
Biogeosciences, 18, 5381–5395, https://doi.org/10.5194/bg-18-5381-2021,https://doi.org/10.5194/bg-18-5381-2021, 2021
Short summary
Long-term spatiotemporal variations in and expansion of low-oxygen conditions in the Pearl River estuary: a study synthesizing observations during 1976–2017
Jiatang Hu, Zhongren Zhang, Bin Wang, and Jia Huang
Biogeosciences, 18, 5247–5264, https://doi.org/10.5194/bg-18-5247-2021,https://doi.org/10.5194/bg-18-5247-2021, 2021
Short summary
Contrasting patterns of carbon cycling and DOM processing in two phytoplankton-bacteria communities
Samu Markku Elovaara, Eeva Liisa Eronen-Rasimus, Eero Jooseppi Asmala, Tobias Tamelander, and Hermanni Pekka Kaartokallio
Biogeosciences Discuss., https://doi.org/10.5194/bg-2021-220,https://doi.org/10.5194/bg-2021-220, 2021
Preprint under review for BG
Short summary
Fe-binding organic ligands in coastal and frontal regions of the western Antarctic Peninsula
Indah Ardiningsih, Kyyas Seyitmuhammedov, Sylvia G. Sander, Claudine H. Stirling, Gert-Jan Reichart, Kevin R. Arrigo, Loes J. A. Gerringa, and Rob Middag
Biogeosciences, 18, 4587–4601, https://doi.org/10.5194/bg-18-4587-2021,https://doi.org/10.5194/bg-18-4587-2021, 2021
Short summary

Cited articles

Aiken, J., Pradhan, Y., Barlow, R., Lavender, S., Poulton, A., Holligan, P., and Hardman-Mountford, N.: Phytoplankton pigments and functional types in the Atlantic Ocean: a decadal assessment, Deep-Sea Res. Pt II, 56, 899–917, 2009.
Aldridge, J., van der Molen, J., and Forster, R.: Wider ecological implications of Macroalgae cultivation, The Crown Estate, London, ISBN: 978-1-906410-38-4, 95 pp., 2012.
Allen, J. I. and Clarke, K. R.: Effects of demersal trawling on ecosystem functioning in the North Sea: a modelling study, Mar. Ecol.-Prog. Ser., 336, 63–75, 2007.
Anderson, T. R.: Plankton functional type modelling: running before we can walk?, J. Plankton Res., 27, 1073–1081, 2005.
Balmaseda M. A., Mogensen, K., and Weaver, A.: Evaluation of the ECMWF Ocean Reanalysis ORAS4, Q. J. Roy. Meteor. Soc., 139, 1132–1161, 2013.
Download
Short summary
This study presents a novel set of in situ observations of phytoplankton community structure for the North Sea. These observations were used to validate two physical–biogeochemical ocean model simulations, each of which used different variants of the widely used European Regional Seas Ecosystem Model (ERSEM). The results suggest the ability of the models to reproduce the observed phytoplankton community structure was dependent on the details of the biogeochemical model parameterizations used.
Altmetrics
Final-revised paper
Preprint