Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean

In recent years, the global distribution of phytoplankton functional types (PFT) and phytoplankton size classes (PSC) has been determined by remote sensing. Many of these methods rely on interpretation of phytoplankton size or type from pigment data, but independent validation has been difficult due...

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Published in:Remote Sensing of Environment
Main Authors: Brotas, Vanda, Brewin, Robert J.W., Sá, Carolina, Brito, Ana C., Silva, Alexandra, Mendes, Carlos Rafael, Diniz, Tânia, Kaufmann, Manfred, Tarran, Glen, Groom, Steve B., Platt, Trevor, Sathyendranath, Shubha
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2013
Subjects:
Online Access:http://hdl.handle.net/10400.13/3703
https://doi.org/10.1016/j.rse.2013.02.013
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spelling ftunivmadeira:oai:digituma.uma.pt:10400.13/3703 2023-06-11T04:15:05+02:00 Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean Brotas, Vanda Brewin, Robert J.W. Sá, Carolina Brito, Ana C. Silva, Alexandra Mendes, Carlos Rafael Diniz, Tânia Kaufmann, Manfred Tarran, Glen Groom, Steve B. Platt, Trevor Sathyendranath, Shubha 2013 http://hdl.handle.net/10400.13/3703 https://doi.org/10.1016/j.rse.2013.02.013 eng eng Elsevier info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FMAR%2F100348%2F2008/PT info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBSAB%2F1044%2F2010/PT info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F63017%2F2009/PT info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FMAR%2FUI0199%2F2011/PT Brotas, V., Brewin, R. J., Sá, C., Brito, A. C., Silva, A., Mendes, C. R., . & Sathyendranath, S. (2013). Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean. Remote Sensing of Environment, 134, 66-77. https://doi.org/10.1016/j.rse.2013.02.013 http://hdl.handle.net/10400.13/3703 doi:10.1016/j.rse.2013.02.013 openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Phytoplankton Cell-size structure and abundance Remotely-sensed chlorophyll-a Intracellular chlorophyll-a content per size class Eastern North Atlantic Faculdade de Ciências da Vida article 2013 ftunivmadeira https://doi.org/10.1016/j.rse.2013.02.013 2023-05-28T07:05:50Z In recent years, the global distribution of phytoplankton functional types (PFT) and phytoplankton size classes (PSC) has been determined by remote sensing. Many of these methods rely on interpretation of phytoplankton size or type from pigment data, but independent validation has been difficult due to lack of appropriate in situ data on cell size. This work uses in situ data (photosynthetic pigments concentration and cell abundances) from the north-east Atlantic, along a trophic gradient, sampled from 2005 to 2010, as well as Atlantic Meridional Transect (AMT) data for the same region, to test a previously developed conceptual model, which calculates the fractional contributions of pico-, nano- and micro-plankton to total phytoplankton chlorophyll biomass (Brewin et al., 2010). The application of the model proved to be successful, as shown by low mean absolute error between data and model fit. However, regional values obtained for the model parameters had some effect on the relative distribution of size classes as a function of chlorophyll-a, compared with the results according to the original model. The regional parameterisation yielded a dominance of micro-plankton contribution for chlorophyll-a concentrations greater than 0.5 mg m−3 , rather than from 1.3 mg m−3 in the original model. Intracellular chlorophyll-a (Chla) per cell, for each size class, was computed from the cell enumeration results (microscope counts and flow cytometry) and the chlorophyll-a concentration for that size class given by the model. The median intracellular chlorophyll-a values computed were 0.004, 0.224 and 26.78 pg Chla cell−1 for pico-, nano-, and micro-plankton respectively. This is generally consistent with the literature, thereby providing an indirect validation of the method based on pigments to assign size classes. Using a satellite-derived composite image of chlorophyll-a for the study area, a map of cell abundance was generated based on the computed intracellular chlorophyll-a for each size-class, thus extending the ... Article in Journal/Newspaper North Atlantic North East Atlantic Universidade da Madeira: DigitUMa Remote Sensing of Environment 134 66 77
institution Open Polar
collection Universidade da Madeira: DigitUMa
op_collection_id ftunivmadeira
language English
topic Phytoplankton
Cell-size structure and abundance
Remotely-sensed chlorophyll-a
Intracellular chlorophyll-a content per size class
Eastern North Atlantic
Faculdade de Ciências da Vida
spellingShingle Phytoplankton
Cell-size structure and abundance
Remotely-sensed chlorophyll-a
Intracellular chlorophyll-a content per size class
Eastern North Atlantic
Faculdade de Ciências da Vida
Brotas, Vanda
Brewin, Robert J.W.
Sá, Carolina
Brito, Ana C.
Silva, Alexandra
Mendes, Carlos Rafael
Diniz, Tânia
Kaufmann, Manfred
Tarran, Glen
Groom, Steve B.
Platt, Trevor
Sathyendranath, Shubha
Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean
topic_facet Phytoplankton
Cell-size structure and abundance
Remotely-sensed chlorophyll-a
Intracellular chlorophyll-a content per size class
Eastern North Atlantic
Faculdade de Ciências da Vida
description In recent years, the global distribution of phytoplankton functional types (PFT) and phytoplankton size classes (PSC) has been determined by remote sensing. Many of these methods rely on interpretation of phytoplankton size or type from pigment data, but independent validation has been difficult due to lack of appropriate in situ data on cell size. This work uses in situ data (photosynthetic pigments concentration and cell abundances) from the north-east Atlantic, along a trophic gradient, sampled from 2005 to 2010, as well as Atlantic Meridional Transect (AMT) data for the same region, to test a previously developed conceptual model, which calculates the fractional contributions of pico-, nano- and micro-plankton to total phytoplankton chlorophyll biomass (Brewin et al., 2010). The application of the model proved to be successful, as shown by low mean absolute error between data and model fit. However, regional values obtained for the model parameters had some effect on the relative distribution of size classes as a function of chlorophyll-a, compared with the results according to the original model. The regional parameterisation yielded a dominance of micro-plankton contribution for chlorophyll-a concentrations greater than 0.5 mg m−3 , rather than from 1.3 mg m−3 in the original model. Intracellular chlorophyll-a (Chla) per cell, for each size class, was computed from the cell enumeration results (microscope counts and flow cytometry) and the chlorophyll-a concentration for that size class given by the model. The median intracellular chlorophyll-a values computed were 0.004, 0.224 and 26.78 pg Chla cell−1 for pico-, nano-, and micro-plankton respectively. This is generally consistent with the literature, thereby providing an indirect validation of the method based on pigments to assign size classes. Using a satellite-derived composite image of chlorophyll-a for the study area, a map of cell abundance was generated based on the computed intracellular chlorophyll-a for each size-class, thus extending the ...
format Article in Journal/Newspaper
author Brotas, Vanda
Brewin, Robert J.W.
Sá, Carolina
Brito, Ana C.
Silva, Alexandra
Mendes, Carlos Rafael
Diniz, Tânia
Kaufmann, Manfred
Tarran, Glen
Groom, Steve B.
Platt, Trevor
Sathyendranath, Shubha
author_facet Brotas, Vanda
Brewin, Robert J.W.
Sá, Carolina
Brito, Ana C.
Silva, Alexandra
Mendes, Carlos Rafael
Diniz, Tânia
Kaufmann, Manfred
Tarran, Glen
Groom, Steve B.
Platt, Trevor
Sathyendranath, Shubha
author_sort Brotas, Vanda
title Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean
title_short Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean
title_full Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean
title_fullStr Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean
title_full_unstemmed Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean
title_sort deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern atlantic ocean
publisher Elsevier
publishDate 2013
url http://hdl.handle.net/10400.13/3703
https://doi.org/10.1016/j.rse.2013.02.013
genre North Atlantic
North East Atlantic
genre_facet North Atlantic
North East Atlantic
op_relation info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FMAR%2F100348%2F2008/PT
info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBSAB%2F1044%2F2010/PT
info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F63017%2F2009/PT
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FMAR%2FUI0199%2F2011/PT
Brotas, V., Brewin, R. J., Sá, C., Brito, A. C., Silva, A., Mendes, C. R., . & Sathyendranath, S. (2013). Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean. Remote Sensing of Environment, 134, 66-77. https://doi.org/10.1016/j.rse.2013.02.013
http://hdl.handle.net/10400.13/3703
doi:10.1016/j.rse.2013.02.013
op_rights openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
op_doi https://doi.org/10.1016/j.rse.2013.02.013
container_title Remote Sensing of Environment
container_volume 134
container_start_page 66
op_container_end_page 77
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