Repository logo
 
Publication

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

2013Journal article Open access
Simple item page
dc.contributor.authorBrotas, Vanda
dc.contributor.authorBrewin, Robert J.W.
dc.contributor.authorSá, Carolina
dc.contributor.authorBrito, Ana C.
dc.contributor.authorSilva, Alexandra
dc.contributor.authorMendes, Carlos Rafael
dc.contributor.authorDiniz, Tânia
dc.contributor.authorKaufmann, Manfred
dc.contributor.authorTarran, Glen
dc.contributor.authorGroom, Steve B.
dc.contributor.authorPlatt, Trevor
dc.contributor.authorSathyendranath, Shubha
dc.date.accessioned2021-10-07T07:59:48Z
dc.date.available2021-10-07T07:59:48Z
dc.date.issued2013
dc.description.abstractIn 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBrotas, 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.2013.02.013pt_PT
dc.identifier.doi10.1016/j.rse.2013.02.013pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/3703
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationTHE DEVELOPMENT OF AN INTEGRATED APPROACH FOR THE ASSESSMENT OF ECOLOGICAL QUALITY IN COASTAL AND TRANSITIONAL WATERS
dc.relationStrategic Project - UI 199 - 2011-2012
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectPhytoplanktonpt_PT
dc.subjectCell-size structure and abundancept_PT
dc.subjectRemotely-sensed chlorophyll-apt_PT
dc.subjectIntracellular chlorophyll-a content per size classpt_PT
dc.subjectEastern North Atlanticpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências da Vidapt_PT
dc.titleDeriving phytoplankton size classes from satellite data: validation along a trophic gradient in the eastern Atlantic Oceanpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleTHE DEVELOPMENT OF AN INTEGRATED APPROACH FOR THE ASSESSMENT OF ECOLOGICAL QUALITY IN COASTAL AND TRANSITIONAL WATERS
oaire.awardTitleStrategic Project - UI 199 - 2011-2012
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FMAR%2F100348%2F2008/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBSAB%2F1044%2F2010/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBPD%2F63017%2F2009/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FMAR%2FUI0199%2F2011/PT
oaire.citation.endPage77pt_PT
oaire.citation.startPage66pt_PT
oaire.citation.titleRemote Sensing of Environmentpt_PT
oaire.citation.volume134pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStreamSFRH
oaire.fundingStream6817 - DCRRNI ID
person.familyNameKaufmann
person.givenNameManfred
person.identifier.ciencia-idA316-A34A-F7AF
person.identifier.orcid0000-0001-6213-3229
person.identifier.ridA-7561-2013
person.identifier.scopus-author-id35264346100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication041c8f9b-d342-4678-938d-9c95a4fd19de
relation.isAuthorOfPublication.latestForDiscovery041c8f9b-d342-4678-938d-9c95a4fd19de
relation.isProjectOfPublication592c124c-77b6-4d92-9fbe-a6eba841a601
relation.isProjectOfPublication23ae7717-00cd-4d5c-af13-6e7480ba4ed0
relation.isProjectOfPublication531a9946-7a23-430c-8dc9-d1e44fe47985
relation.isProjectOfPublication26ff6ec7-4b7c-4bec-92ff-b94a7f2bc218
relation.isProjectOfPublication.latestForDiscovery531a9946-7a23-430c-8dc9-d1e44fe47985

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Deriving phytoplankton size classes from satellite data.pdf
Size:
1.74 MB
Format:
Adobe Portable Document Format
Download

Collections

Artigos em revistas internacionais