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| Titel |
High-resolution analysis of a North Sea phytoplankton community structure based on in situ flow cytometry observations and potential implication for remote sensing |
| VerfasserIn |
M. Thyssen, S. Alvain, A. Lefebvre, D. Dessailly, M. Rijkeboer, N. Guiselin, V. Creach, L.-F. Artigas |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 12, no. 13 ; Nr. 12, no. 13 (2015-07-07), S.4051-4066 |
| Datensatznummer |
250118012
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| Publikation (Nr.) |
 copernicus.org/bg-12-4051-2015.pdf |
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| Zusammenfassung |
| Phytoplankton observation in the ocean can be a challenge in oceanography.
Accurate estimations of its biomass and dynamics will help to understand
ocean ecosystems and refine global climate models. Relevant data sets of
phytoplankton defined at a functional level and on a sub-meso- and daily scale are thus required. In order to achieve this, an automated,
high-frequency, dedicated scanning flow cytometer (SFC, Cytobuoy b.v., the Netherlands) has been
developed to cover the entire size range of phytoplankton cells whilst
simultaneously taking pictures of the largest of them. This cytometer was
directly connected to the water inlet of a PocketFerryBox during a cruise
in the North Sea, 08–12 May 2011 (DYMAPHY project, INTERREG IV A "2 Seas"),
in order to identify the phytoplankton community structure of near surface
waters (6 m) with a high spatial resolution basis (2.2 ± 1.8 km). Ten
groups of cells, distinguished on the basis of their optical pulse shapes,
were described (abundance, size estimate, red fluorescence per unit volume).
Abundances varied depending on the hydrological status of the traversed
waters, reflecting different stages of the North Sea blooming period.
Comparisons between several techniques analysing chlorophyll a and the
scanning flow cytometer, using the integrated red fluorescence emitted by
each counted cell, showed significant correlations. For the first time, the
community structure observed from the automated flow cytometry data set was
compared with PHYSAT reflectance anomalies over a daily scale. The number of
matchups observed between the SFC automated high-frequency in situ sampling and
remote sensing was found to be more than 2 times better than when using
traditional water sampling strategies. Significant differences in the
phytoplankton community structure within the 2 days for which matchups
were available suggest that it is possible to label PHYSAT anomalies using
automated flow cytometry to resolve not only dominant groups but also community
structure. |
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