Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.13/3703 |
Resumo: | 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 remote-sensing method for mapping size classes of phytoplankton from chlorophyll-a concentration to mapping cell numbers in each class. The map reveals the ubiquitous presence of pico-plankton, and shows that all size classes are more abundant in more productive areas. |
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Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic OceanPhytoplanktonCell-size structure and abundanceRemotely-sensed chlorophyll-aIntracellular chlorophyll-a content per size classEastern North Atlantic.Faculdade de Ciências da VidaIn 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 remote-sensing method for mapping size classes of phytoplankton from chlorophyll-a concentration to mapping cell numbers in each class. The map reveals the ubiquitous presence of pico-plankton, and shows that all size classes are more abundant in more productive areas.ElsevierDigitUMaBrotas, VandaBrewin, Robert J.W.Sá, CarolinaBrito, Ana C.Silva, AlexandraMendes, Carlos RafaelDiniz, TâniaKaufmann, ManfredTarran, GlenGroom, Steve B.Platt, TrevorSathyendranath, Shubha2021-10-07T07:59:48Z2013-01-01T00:00:00Z2013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.13/3703engBrotas, 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.2013.02.01310.1016/j.rse.2013.02.013info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-05T12:56:44Zoai:digituma.uma.pt:10400.13/3703Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:07:05.781830Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean |
title |
Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean |
spellingShingle |
Deriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Ocean Brotas, Vanda 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 |
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 |
author |
Brotas, Vanda |
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_role |
author |
author2 |
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 |
author2_role |
author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
DigitUMa |
dc.contributor.author.fl_str_mv |
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 |
dc.subject.por.fl_str_mv |
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 |
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 |
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 remote-sensing method for mapping size classes of phytoplankton from chlorophyll-a concentration to mapping cell numbers in each class. The map reveals the ubiquitous presence of pico-plankton, and shows that all size classes are more abundant in more productive areas. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-01-01T00:00:00Z 2013-01-01T00:00:00Z 2021-10-07T07:59:48Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.13/3703 |
url |
http://hdl.handle.net/10400.13/3703 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
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 10.1016/j.rse.2013.02.013 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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