Articles | Volume 14, issue 6
https://doi.org/10.5194/bg-14-1419-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-1419-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Mar 2017
Research article |
| 21 Mar 2017
Observing and modelling phytoplankton community structure in the North Sea
David A. Ford
CORRESPONDING AUTHOR
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Johan van der Molen
Centre for Environment, Fisheries and Aquaculture Science (Cefas), Pakefield Road, Lowestoft, NR33 0HT, UK
Royal Netherlands Institute for Sea Research (NIOZ), Department of Coastal Systems and Utrecht University, P.O. Box 59, 1790 AB Den Burg, Texel, the Netherlands
Kieran Hyder
Centre for Environment, Fisheries and Aquaculture Science (Cefas), Pakefield Road, Lowestoft, NR33 0HT, UK
John Bacon
Centre for Environment, Fisheries and Aquaculture Science (Cefas), Pakefield Road, Lowestoft, NR33 0HT, UK
Rosa Barciela
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Veronique Creach
Centre for Environment, Fisheries and Aquaculture Science (Cefas), Pakefield Road, Lowestoft, NR33 0HT, UK
Robert McEwan
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Piet Ruardij
Royal Netherlands Institute for Sea Research (NIOZ), Department of Coastal Systems and Utrecht University, P.O. Box 59, 1790 AB Den Burg, Texel, the Netherlands
Rodney Forster
Centre for Environment, Fisheries and Aquaculture Science (Cefas), Pakefield Road, Lowestoft, NR33 0HT, UK
University of Hull, Cottingham Road, Hull, HU6 7RX, UK
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25 citations as recorded by crossref.
- North Sea Ecosystem-Scale Model-Based Quantification of Net Primary Productivity Changes by the Benthic Filter Feeder Mytilus edulis C. Lemmen 10.3390/w10111527
- Spatial and temporal distribution of satellite turbidity in response to different environmental variables in the Bahía Blanca Estuary, South-Western Atlantic M. Arena et al. 10.1080/01431161.2022.2105175
- The acclimative biogeochemical model of the southern North Sea O. Kerimoglu et al. 10.5194/bg-14-4499-2017
- The large-scale impact of offshore wind farm structures on pelagic primary productivity in the southern North Sea K. Slavik et al. 10.1007/s10750-018-3653-5
- The impact of ocean biogeochemistry on physics and its consequences for modelling shelf seas J. Skákala et al. 10.1016/j.ocemod.2022.101976
- Optimising French fisheries surveys for marine strategy framework directive integrated ecosystem monitoring J. Baudrier et al. 10.1016/j.marpol.2018.04.024
- How uncertain and observable are marine ecosystem indicators in shelf seas? J. Skákala et al. 10.1016/j.pocean.2024.103249
- Ecological model of the Bay of Biscay and English Channel shelf for environmental status assessment part 1: Nutrients, phytoplankton and oxygen A. Ménesguen et al. 10.1016/j.ocemod.2018.11.002
- Validation of the coupled physical–biogeochemical ocean model NEMO–SCOBI for the North Sea–Baltic Sea system I. Ruvalcaba Baroni et al. 10.5194/bg-21-2087-2024
- Assimilation of Ocean‐Color Plankton Functional Types to Improve Marine Ecosystem Simulations S. Ciavatta et al. 10.1002/2017JC013490
- Spatial models of carbon, nitrogen and sulphur stable isotope distributions (isoscapes) across a shelf sea: An INLA approach K. St. John Glew et al. 10.1111/2041-210X.13138
- Interactive impacts of meteorological and hydrological conditions on the physical and biogeochemical structure of a coastal system O. Kerimoglu et al. 10.5194/bg-17-5097-2020
- Using feature-based verification methods to explore the spatial and temporal characteristics of the 2019 chlorophyll-<i>a</i> bloom season in a model of the European Northwest Shelf M. Mittermaier et al. 10.5194/os-17-1527-2021
- Towards a Multi‐Platform Assimilative System for North Sea Biogeochemistry J. Skákala et al. 10.1029/2020JC016649
- Improved Representation of Underwater Light Field and Its Impact on Ecosystem Dynamics: A Study in the North Sea J. Skákala et al. 10.1029/2020JC016122
- Twenty years of satellite and in situ observations of surface chlorophyll-a from the northern Bay of Biscay to the eastern English Channel. Is the water quality improving? F. Gohin et al. 10.1016/j.rse.2019.111343
- Quantitative comparison of phytoplankton community sampled using net and water collection methods in the southern Yellow Sea Z. Jiang et al. 10.1016/j.rsma.2020.101250
- Evolution of Phytoplankton as Estimated from Genetic Diversity C. Sjöqvist 10.3390/jmse10040456
- Impacts of Atmospheric Nitrogen Deposition on Surface Waters of the Western North Atlantic Mitigated by Multiple Feedbacks P. St‐Laurent et al. 10.1002/2017JC013072
- Physics or biology? Persistent chlorophyll accumulation in a shallow coastal sea explained by pathogens and carnivorous grazing K. Wirtz & G. Mancinelli 10.1371/journal.pone.0212143
- The Effects of Atmospheric Nitrogen Deposition on the Marine Ecosystem of the Northern South China Sea W. He et al. 10.1029/2022JC018790
- Less Nutrients but More Phytoplankton: Long-Term Ecosystem Dynamics of the Southern North Sea X. Xu et al. 10.3389/fmars.2020.00662
- Optimizing Monitoring Programs: A Case Study Based on the OSPAR Eutrophication Assessment for UK Waters L. García-García et al. 10.3389/fmars.2018.00503
- The Assimilation of Phytoplankton Functional Types for Operational Forecasting in the Northwest European Shelf J. Skákala et al. 10.1029/2018JC014153
- The relationship between Suspended Particulate Matter and Turbidity at a mooring station in a coastal environment: consequences for satellite-derived products M. Jafar-Sidik et al. 10.1016/j.oceano.2017.04.003
25 citations as recorded by crossref.
- North Sea Ecosystem-Scale Model-Based Quantification of Net Primary Productivity Changes by the Benthic Filter Feeder Mytilus edulis C. Lemmen 10.3390/w10111527
- Spatial and temporal distribution of satellite turbidity in response to different environmental variables in the Bahía Blanca Estuary, South-Western Atlantic M. Arena et al. 10.1080/01431161.2022.2105175
- The acclimative biogeochemical model of the southern North Sea O. Kerimoglu et al. 10.5194/bg-14-4499-2017
- The large-scale impact of offshore wind farm structures on pelagic primary productivity in the southern North Sea K. Slavik et al. 10.1007/s10750-018-3653-5
- The impact of ocean biogeochemistry on physics and its consequences for modelling shelf seas J. Skákala et al. 10.1016/j.ocemod.2022.101976
- Optimising French fisheries surveys for marine strategy framework directive integrated ecosystem monitoring J. Baudrier et al. 10.1016/j.marpol.2018.04.024
- How uncertain and observable are marine ecosystem indicators in shelf seas? J. Skákala et al. 10.1016/j.pocean.2024.103249
- Ecological model of the Bay of Biscay and English Channel shelf for environmental status assessment part 1: Nutrients, phytoplankton and oxygen A. Ménesguen et al. 10.1016/j.ocemod.2018.11.002
- Validation of the coupled physical–biogeochemical ocean model NEMO–SCOBI for the North Sea–Baltic Sea system I. Ruvalcaba Baroni et al. 10.5194/bg-21-2087-2024
- Assimilation of Ocean‐Color Plankton Functional Types to Improve Marine Ecosystem Simulations S. Ciavatta et al. 10.1002/2017JC013490
- Spatial models of carbon, nitrogen and sulphur stable isotope distributions (isoscapes) across a shelf sea: An INLA approach K. St. John Glew et al. 10.1111/2041-210X.13138
- Interactive impacts of meteorological and hydrological conditions on the physical and biogeochemical structure of a coastal system O. Kerimoglu et al. 10.5194/bg-17-5097-2020
- Using feature-based verification methods to explore the spatial and temporal characteristics of the 2019 chlorophyll-<i>a</i> bloom season in a model of the European Northwest Shelf M. Mittermaier et al. 10.5194/os-17-1527-2021
- Towards a Multi‐Platform Assimilative System for North Sea Biogeochemistry J. Skákala et al. 10.1029/2020JC016649
- Improved Representation of Underwater Light Field and Its Impact on Ecosystem Dynamics: A Study in the North Sea J. Skákala et al. 10.1029/2020JC016122
- Twenty years of satellite and in situ observations of surface chlorophyll-a from the northern Bay of Biscay to the eastern English Channel. Is the water quality improving? F. Gohin et al. 10.1016/j.rse.2019.111343
- Quantitative comparison of phytoplankton community sampled using net and water collection methods in the southern Yellow Sea Z. Jiang et al. 10.1016/j.rsma.2020.101250
- Evolution of Phytoplankton as Estimated from Genetic Diversity C. Sjöqvist 10.3390/jmse10040456
- Impacts of Atmospheric Nitrogen Deposition on Surface Waters of the Western North Atlantic Mitigated by Multiple Feedbacks P. St‐Laurent et al. 10.1002/2017JC013072
- Physics or biology? Persistent chlorophyll accumulation in a shallow coastal sea explained by pathogens and carnivorous grazing K. Wirtz & G. Mancinelli 10.1371/journal.pone.0212143
- The Effects of Atmospheric Nitrogen Deposition on the Marine Ecosystem of the Northern South China Sea W. He et al. 10.1029/2022JC018790
- Less Nutrients but More Phytoplankton: Long-Term Ecosystem Dynamics of the Southern North Sea X. Xu et al. 10.3389/fmars.2020.00662
- Optimizing Monitoring Programs: A Case Study Based on the OSPAR Eutrophication Assessment for UK Waters L. García-García et al. 10.3389/fmars.2018.00503
- The Assimilation of Phytoplankton Functional Types for Operational Forecasting in the Northwest European Shelf J. Skákala et al. 10.1029/2018JC014153
- The relationship between Suspended Particulate Matter and Turbidity at a mooring station in a coastal environment: consequences for satellite-derived products M. Jafar-Sidik et al. 10.1016/j.oceano.2017.04.003
Discussed (preprint)
Latest update: 26 Dec 2024
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.
This study presents a novel set of in situ observations of phytoplankton community structure for...
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