Articles | Volume 10, issue 11
https://doi.org/10.5194/bg-10-7553-2013
© 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-10-7553-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Nov 2013
Research article |
| 22 Nov 2013
Distribution of phytoplankton functional types in high-nitrate, low-chlorophyll waters in a new diagnostic ecological indicator model
A. P. Palacz
National Institute of Aquatic Resources, Denmark Technical University, Jægersborg Allé 1, 2920 Charlottenlund, Denmark
M. A. St. John
National Institute of Aquatic Resources, Denmark Technical University, Jægersborg Allé 1, 2920 Charlottenlund, Denmark
R. J. W. Brewin
Plymouth Marine Laboratory, Plymouth, UK
T. Hirata
Faculty of Environmental Earth Science, Hokkaido University, N10W5, Sapporo, 060-0810 Hokkaido, Japan
W. W. Gregg
NASA Global Modeling and Assimilation Office, Greenbelt, MD, USA
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- Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development A. Bracher et al. 10.3389/fmars.2017.00055
- Ecological niches of open ocean phytoplankton taxa P. Brun et al. 10.1002/lno.10074
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- Retrieving the vertical distribution of chlorophyll a concentration and phytoplankton community composition from in situ fluorescence profiles: A method based on a neural network with potential for global‐scale applications R. Sauzède et al. 10.1002/2014JC010355
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- Influence of light in the mixed-layer on the parameters of a three-component model of phytoplankton size class R. Brewin et al. 10.1016/j.rse.2015.07.004
- Estimation of phytoplankton community composition from satellite data using a fuzzy and probabilistic combination model in mountainous reservoirs: A case of Huating Lake in spring and summer Y. Qiu et al. 10.1016/j.ecoinf.2025.103153
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- Incorporating environmental data in abundance-based algorithms for deriving phytoplankton size classes in the Atlantic Ocean T. Moore & C. Brown 10.1016/j.rse.2020.111689
- Relative contributions of photophysiology and chlorophyll-a abundance to phytoplankton group-specific primary production in the Kuroshio region as inferred by satellite ocean color remote sensing T. Hirata & K. Suzuki 10.1007/s10872-022-00638-5
- Sensing the ocean biological carbon pump from space: A review of capabilities, concepts, research gaps and future developments R. Brewin et al. 10.1016/j.earscirev.2021.103604
- Introduction to the BASIN Special Issue: State of art, past present a view to the future M. St. John et al. 10.1016/j.pocean.2014.11.007
- Ocean Biology Studied from Space S. Sathyendranath et al. 10.1007/s10712-023-09805-9
- Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data H. Xi et al. 10.1016/j.rse.2020.111704
- Phytoplankton composition from sPACE: Requirements, opportunities, and challenges I. Cetinić et al. 10.1016/j.rse.2023.113964
- Optimizing an Abundance-Based Model for Satellite Remote Sensing of Phytoplankton Size Classes in the Bohai and Yellow Seas of China Y. Wang et al. 10.1109/TGRS.2024.3383391
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