Articles | Volume 10, issue 11
https://doi.org/10.5194/bg-10-6833-2013
© Author(s) 2013. 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-10-6833-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Nov 2013
Research article |
| 02 Nov 2013
Phytoplankton competition during the spring bloom in four plankton functional type models
T. Hashioka
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich NR4 7TJ, UK
Core Research for Evolutional Science and Technology, Japan Science and Technology Agency, Tokyo, Japan
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Graduate School of Environmental Earth Science, Hokkaido University, Sapporo, Japan
M. Vogt
Institute for Biogeochemistry and Pollutant Dynamics, CHN 23.2, Universitaetsstrasse 16, 8092 Zürich, Switzerland
Y. Yamanaka
Graduate School of Environmental Earth Science, Hokkaido University, Sapporo, Japan
Core Research for Evolutional Science and Technology, Japan Science and Technology Agency, Tokyo, Japan
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
C. Le Quéré
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich NR4 7TJ, UK
E. T. Buitenhuis
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich NR4 7TJ, UK
M. N. Aita
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
S. Alvain
LOG, Univers ité Lille Nord de France, ULCO, CNRS, Wimereux, France
Laboratoire du Climat et de l'Environnement (LSCE), L'Orme des Merisiers Bât. 712, 91191 Gif sur Yvette, France
T. Hirata
Graduate School of Environmental Earth Science, Hokkaido University, Sapporo, Japan
I. Lima
Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
S. Sailley
Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
now at: Plymouth Marine Laboratory, Plymouth, UK
S. C. Doney
Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
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52 citations as recorded by crossref.
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- Identification of dominant phytoplankton functional types in the Mediterranean Sea based on a regionalized remote sensing approach G. Navarro et al. https://doi.org/10.1016/j.rse.2014.06.029
- Role of Viral Infection in Controlling Planktonic Blooms-Conclusion Drawn from a Mathematical Model of Phytoplankton-Zooplankton System K. Das et al. https://doi.org/10.1007/s12591-016-0332-8
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- Globally Consistent Quantitative Observations of Planktonic Ecosystems F. Lombard et al. https://doi.org/10.3389/fmars.2019.00196
- Drivers and uncertainties of future global marine primary production in marine ecosystem models C. Laufkötter et al. https://doi.org/10.5194/bg-12-6955-2015
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- Characteristics, seasonal variations and major sources of underivatized free amino acids in PM2.5 at a rural coastal site in Qingdao, China S. Kamal et al. https://doi.org/10.1016/j.envpol.2025.126517
- Spatiotemporal variability and drivers of modeled primary production rates in the Northern Humboldt Current System R. Mogollón et al. https://doi.org/10.1016/j.ocemod.2024.102347
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- Consistent global responses of marine ecosystems to future climate change across the IPCC AR5 earth system models A. Cabré et al. https://doi.org/10.1007/s00382-014-2374-3
- A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3) V. Schourup-Kristensen et al. https://doi.org/10.5194/gmd-7-2769-2014
- Recent decadal trends in global phytoplankton composition C. Rousseaux & W. Gregg https://doi.org/10.1002/2015GB005139
- Simulating the ocean’s chlorophyll dynamic range from coastal upwelling to oligotrophy N. Van Oostende et al. https://doi.org/10.1016/j.pocean.2018.10.009
- Chaotic dynamics in a simple dynamical green ocean plankton model R. Cropp et al. https://doi.org/10.1016/j.jmarsys.2014.08.002
- Biogeography of zooplankton feeding strategy A. Prowe et al. https://doi.org/10.1002/lno.11067
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- Inferring source regions and supply mechanisms of iron in the Southern Ocean from satellite chlorophyll data R. Graham et al. https://doi.org/10.1016/j.dsr.2015.05.007
- Responses of summer phytoplankton biomass to changes in top-down forcing: Insights from comparative modelling M. Maar et al. https://doi.org/10.1016/j.ecolmodel.2018.03.003
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- Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development A. Bracher et al. https://doi.org/10.3389/fmars.2017.00055
- Zooplankton grazing is the largest source of uncertainty for marine carbon cycling in CMIP6 models T. Rohr et al. https://doi.org/10.1038/s43247-023-00871-w
- On the Role of the Amazon River for N2 Fixation in the Western Tropical Atlantic D. Louchard et al. https://doi.org/10.1029/2022GB007537
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- Explicit Planktic Calcifiers in the University of Victoria Earth System Climate Model, Version 2.9 K. Kvale et al. https://doi.org/10.1080/07055900.2015.1049112
- The Role of Zooplankton Grazing and Nutrient Recycling for Global Ocean Biogeochemistry and Phytoplankton Phenology O. Karakuş et al. https://doi.org/10.1029/2022JG006798
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