Articles | Volume 12, issue 2
https://doi.org/10.5194/os-12-561-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-12-561-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Apr 2016
Research article |
| 18 Apr 2016
Carbon-based phytoplankton size classes retrieved via ocean color estimates of the particle size distribution
Tihomir S. Kostadinov
CORRESPONDING AUTHOR
Department of Geography and the Environment, 28 Westhampton Way,
University of Richmond, Richmond, VA 23173, USA
Svetlana Milutinović
Department of Earth & Environmental Science, Hayden Hall, University
of Pennsylvania, 240 South 33rd St., Philadelphia, PA 19104, USA
Irina Marinov
Department of Earth & Environmental Science, Hayden Hall, University
of Pennsylvania, 240 South 33rd St., Philadelphia, PA 19104, USA
Anna Cabré
Department of Earth & Environmental Science, Hayden Hall, University
of Pennsylvania, 240 South 33rd St., Philadelphia, PA 19104, USA
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Cited
43 citations as recorded by crossref.
- Distributions of phytoplankton carbohydrate, protein and lipid in the world oceans from satellite ocean colour S. Roy 10.1038/s41396-018-0054-8
- A Phytoplankton Model for the Allocation of Gross Photosynthetic Energy Including the Trade‐Offs of Diazotrophy D. Nicholson et al. 10.1029/2017JG004263
- Contrasting ENSO Types With Satellite‐Derived Ocean Phytoplankton Biomass in the Tropical Pacific P. Sharma et al. 10.1029/2018GL080689
- Major restructuring of marine plankton assemblages under global warming F. Benedetti et al. 10.1038/s41467-021-25385-x
- The Fundamental Contribution of Phytoplankton Spectral Scattering to Ocean Colour: Implications for Satellite Detection of Phytoplankton Community Structure L. Lain & S. Bernard 10.3390/app8122681
- Environmental Reservoirs of Vibrio cholerae: Challenges and Opportunities for Ocean-Color Remote Sensing . Racault et al. 10.3390/rs11232763
- Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development A. Bracher et al. 10.3389/fmars.2017.00055
- Inter-comparison of phytoplankton functional type phenology metrics derived from ocean color algorithms and Earth System Models T. Kostadinov et al. 10.1016/j.rse.2016.11.014
- Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean V. Martínez-Vicente et al. 10.3389/fmars.2017.00378
- Improving the Retrieval of Carbon-Based Phytoplankton Biomass from Satellite Ocean Colour Observations M. Bellacicco et al. 10.3390/rs12213640
- Diatom Physiology Controls Silicic Acid Leakage in Response to Iron Fertilization M. Holzer et al. 10.1029/2019GB006460
- The open-ocean missing backscattering is in the structural complexity of particles E. Organelli et al. 10.1038/s41467-018-07814-6
- Climate change has altered zooplankton-fuelled carbon export in the North Atlantic P. Brun et al. 10.1038/s41559-018-0780-3
- Increasing Biomass in the Warm Oceans: Unexpected New Insights From SeaWiFS P. Sharma et al. 10.1029/2018GL079684
- Toward Determining the Spatio-Temporal Variability of Upper-Ocean Ecosystem Stoichiometry From Satellite Remote Sensing T. Tanioka et al. 10.3389/fmars.2020.604893
- Linkages Between Dynamic Phytoplankton C:N:P and the Ocean Carbon Cycle Under Climate Change K. Matsumoto et al. 10.5670/oceanog.2020.203
- Global Distribution of Non-algal Particles From Ocean Color Data and Implications for Phytoplankton Biomass Detection M. Bellacicco et al. 10.1029/2018GL078185
- 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
- Harnessing remote sensing to address critical science questions on ocean-atmosphere interactions G. Neukermans et al. 10.1525/elementa.331
- Size-partitioned phytoplankton carbon and carbon-to-chlorophyll ratio from ocean colour by an absorption-based bio-optical algorithm S. Roy et al. 10.1016/j.rse.2017.02.015
- Optical characterization of marine phytoplankton assemblages within surface waters of the western Arctic Ocean R. Reynolds & D. Stramski 10.1002/lno.11199
- Long-time-scale investigation of phytoplankton communities based on their size in the Arabian Sea R. Shunmugapandi et al. 10.1080/01431161.2020.1714785
- Optimization and assessment of phytoplankton size class algorithms for ocean color data on the Northeast U.S. continental shelf K. Turner et al. 10.1016/j.rse.2021.112729
- Vertical Variability of Total and Size-Partitioned Phytoplankton Carbon in the South China Sea W. Zheng et al. 10.3390/rs13050993
- Microstructure and composition of marine aggregates as co-determinants for vertical particulate organic carbon transfer in the global ocean J. Maerz et al. 10.5194/bg-17-1765-2020
- Uncertainty in Ocean-Color Estimates of Chlorophyll for Phytoplankton Groups R. Brewin et al. 10.3389/fmars.2017.00104
- Retrieval of Particulate Backscattering Using Field and Satellite Radiometry: Assessment of the QAA Algorithm J. Pitarch et al. 10.3390/rs12010077
- Accuracy of Empirical Satellite Algorithms for Mapping Phytoplankton Diagnostic Pigments in the Open Ocean: A Supervised Learning Perspective A. Stock & A. Subramaniam 10.3389/fmars.2020.00599
- Phenology and time series trends of the dominant seasonal phytoplankton bloom across global scales K. Friedland et al. 10.1111/geb.12717
- Global Ocean Sediment Composition and Burial Flux in the Deep Sea C. Hayes et al. 10.1029/2020GB006769
- Global Chlorophyll a Concentrations of Phytoplankton Functional Types With Detailed Uncertainty Assessment Using Multisensor Ocean Color and Sea Surface Temperature Satellite Products H. Xi et al. 10.1029/2020JC017127
- HYDROPT: An Open-Source Framework for Fast Inverse Modelling of Multi- and Hyperspectral Observations from Oceans, Coastal and Inland Waters T. Holtrop & H. Van Der Woerd 10.3390/rs13153006
- Linking deep convection and phytoplankton blooms in the northern Labrador Sea in a changing climate K. Balaguru et al. 10.1371/journal.pone.0191509
- A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean C. Mouw et al. 10.3389/fmars.2017.00041
- Ocean color algorithms to estimate the concentration of particulate organic carbon in surface waters of the global ocean in support of a long-term data record from multiple satellite missions D. Stramski et al. 10.1016/j.rse.2021.112776
- Physical and Biogeochemical Regionalization of the Southern Ocean and the CCAMLR Zone 48.1 G. Testa et al. 10.3389/fmars.2021.592378
- Radiometric approach for the detection of picophytoplankton assemblages across oceanic fronts P. Lange et al. 10.1364/OE.398127
- Simulating the ocean’s chlorophyll dynamic range from coastal upwelling to oligotrophy N. Van Oostende et al. 10.1016/j.pocean.2018.10.009
- 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
- Validation and Intercomparison of Ocean Color Algorithms for Estimating Particulate Organic Carbon in the Oceans H. Evers-King et al. 10.3389/fmars.2017.00251
- Complementary Approaches to Assess Phytoplankton Groups and Size Classes on a Long Transect in the Atlantic Ocean V. Brotas et al. 10.3389/fmars.2021.682621
- An absorption-specific approach to examining dynamics of particulate organic carbon from VIIRS observations in inland and coastal waters G. Jiang et al. 10.1016/j.rse.2019.01.032
- Phenology of Size-Partitioned Phytoplankton Carbon-Biomass from Ocean Color Remote Sensing and CMIP5 Models A. Cabré et al. 10.3389/fmars.2016.00039
42 citations as recorded by crossref.
- Distributions of phytoplankton carbohydrate, protein and lipid in the world oceans from satellite ocean colour S. Roy 10.1038/s41396-018-0054-8
- A Phytoplankton Model for the Allocation of Gross Photosynthetic Energy Including the Trade‐Offs of Diazotrophy D. Nicholson et al. 10.1029/2017JG004263
- Contrasting ENSO Types With Satellite‐Derived Ocean Phytoplankton Biomass in the Tropical Pacific P. Sharma et al. 10.1029/2018GL080689
- Major restructuring of marine plankton assemblages under global warming F. Benedetti et al. 10.1038/s41467-021-25385-x
- The Fundamental Contribution of Phytoplankton Spectral Scattering to Ocean Colour: Implications for Satellite Detection of Phytoplankton Community Structure L. Lain & S. Bernard 10.3390/app8122681
- Environmental Reservoirs of Vibrio cholerae: Challenges and Opportunities for Ocean-Color Remote Sensing . Racault et al. 10.3390/rs11232763
- Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development A. Bracher et al. 10.3389/fmars.2017.00055
- Inter-comparison of phytoplankton functional type phenology metrics derived from ocean color algorithms and Earth System Models T. Kostadinov et al. 10.1016/j.rse.2016.11.014
- Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean V. Martínez-Vicente et al. 10.3389/fmars.2017.00378
- Improving the Retrieval of Carbon-Based Phytoplankton Biomass from Satellite Ocean Colour Observations M. Bellacicco et al. 10.3390/rs12213640
- Diatom Physiology Controls Silicic Acid Leakage in Response to Iron Fertilization M. Holzer et al. 10.1029/2019GB006460
- The open-ocean missing backscattering is in the structural complexity of particles E. Organelli et al. 10.1038/s41467-018-07814-6
- Climate change has altered zooplankton-fuelled carbon export in the North Atlantic P. Brun et al. 10.1038/s41559-018-0780-3
- Increasing Biomass in the Warm Oceans: Unexpected New Insights From SeaWiFS P. Sharma et al. 10.1029/2018GL079684
- Toward Determining the Spatio-Temporal Variability of Upper-Ocean Ecosystem Stoichiometry From Satellite Remote Sensing T. Tanioka et al. 10.3389/fmars.2020.604893
- Linkages Between Dynamic Phytoplankton C:N:P and the Ocean Carbon Cycle Under Climate Change K. Matsumoto et al. 10.5670/oceanog.2020.203
- Global Distribution of Non-algal Particles From Ocean Color Data and Implications for Phytoplankton Biomass Detection M. Bellacicco et al. 10.1029/2018GL078185
- 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
- Harnessing remote sensing to address critical science questions on ocean-atmosphere interactions G. Neukermans et al. 10.1525/elementa.331
- Size-partitioned phytoplankton carbon and carbon-to-chlorophyll ratio from ocean colour by an absorption-based bio-optical algorithm S. Roy et al. 10.1016/j.rse.2017.02.015
- Optical characterization of marine phytoplankton assemblages within surface waters of the western Arctic Ocean R. Reynolds & D. Stramski 10.1002/lno.11199
- Long-time-scale investigation of phytoplankton communities based on their size in the Arabian Sea R. Shunmugapandi et al. 10.1080/01431161.2020.1714785
- Optimization and assessment of phytoplankton size class algorithms for ocean color data on the Northeast U.S. continental shelf K. Turner et al. 10.1016/j.rse.2021.112729
- Vertical Variability of Total and Size-Partitioned Phytoplankton Carbon in the South China Sea W. Zheng et al. 10.3390/rs13050993
- Microstructure and composition of marine aggregates as co-determinants for vertical particulate organic carbon transfer in the global ocean J. Maerz et al. 10.5194/bg-17-1765-2020
- Uncertainty in Ocean-Color Estimates of Chlorophyll for Phytoplankton Groups R. Brewin et al. 10.3389/fmars.2017.00104
- Retrieval of Particulate Backscattering Using Field and Satellite Radiometry: Assessment of the QAA Algorithm J. Pitarch et al. 10.3390/rs12010077
- Accuracy of Empirical Satellite Algorithms for Mapping Phytoplankton Diagnostic Pigments in the Open Ocean: A Supervised Learning Perspective A. Stock & A. Subramaniam 10.3389/fmars.2020.00599
- Phenology and time series trends of the dominant seasonal phytoplankton bloom across global scales K. Friedland et al. 10.1111/geb.12717
- Global Ocean Sediment Composition and Burial Flux in the Deep Sea C. Hayes et al. 10.1029/2020GB006769
- Global Chlorophyll a Concentrations of Phytoplankton Functional Types With Detailed Uncertainty Assessment Using Multisensor Ocean Color and Sea Surface Temperature Satellite Products H. Xi et al. 10.1029/2020JC017127
- HYDROPT: An Open-Source Framework for Fast Inverse Modelling of Multi- and Hyperspectral Observations from Oceans, Coastal and Inland Waters T. Holtrop & H. Van Der Woerd 10.3390/rs13153006
- Linking deep convection and phytoplankton blooms in the northern Labrador Sea in a changing climate K. Balaguru et al. 10.1371/journal.pone.0191509
- A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean C. Mouw et al. 10.3389/fmars.2017.00041
- Ocean color algorithms to estimate the concentration of particulate organic carbon in surface waters of the global ocean in support of a long-term data record from multiple satellite missions D. Stramski et al. 10.1016/j.rse.2021.112776
- Physical and Biogeochemical Regionalization of the Southern Ocean and the CCAMLR Zone 48.1 G. Testa et al. 10.3389/fmars.2021.592378
- Radiometric approach for the detection of picophytoplankton assemblages across oceanic fronts P. Lange et al. 10.1364/OE.398127
- Simulating the ocean’s chlorophyll dynamic range from coastal upwelling to oligotrophy N. Van Oostende et al. 10.1016/j.pocean.2018.10.009
- 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
- Validation and Intercomparison of Ocean Color Algorithms for Estimating Particulate Organic Carbon in the Oceans H. Evers-King et al. 10.3389/fmars.2017.00251
- Complementary Approaches to Assess Phytoplankton Groups and Size Classes on a Long Transect in the Atlantic Ocean V. Brotas et al. 10.3389/fmars.2021.682621
- An absorption-specific approach to examining dynamics of particulate organic carbon from VIIRS observations in inland and coastal waters G. Jiang et al. 10.1016/j.rse.2019.01.032
1 citations as recorded by crossref.
Saved (preprint)
Latest update: 02 Jun 2023
Short summary
Recent advances in ocean color remote sensing have allowed the quantification of the particle size distribution (and thus volume) of suspended particles in surface waters, using their backscattering signature. Here, we leverage these developments and use volume-to-carbon allometric relationships to quantify phytoplankton carbon globally using SeaWiFS ocean color data. Phytoplankton carbon concentrations are partitioned among three size classes: picoplankton, nanoplankton and microplankton.
Recent advances in ocean color remote sensing have allowed the quantification of the particle...
