English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/165168
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

Assessing phytoplankton community composition using combined pigment and particle size distribution analysis

AuthorsFont-Muñoz, Joan S.; Jordi, Antoni ; Anglès, Silvia ; Ferriol, Pere; Garcés, Esther ; Basterretxea, Gotzon
KeywordsPigments
Canonical correlation analysis
Chlorophyll
Size distribution
Issue DateApr-2018
PublisherInter Research
CitationMarine Ecology Progress Series 594: 51-63 (2018)
AbstractChanges in phytoplankton composition reveal relevant information about the response of aquatic systems to environmental drivers. Here, we propose the combined use of particle size measurements and pigment signatures to analyze the changes in the composition of phytoplankton communities at a coastal location. Canonical correlation analysis (CCA) was applied to separate phytoplankton signals from non-algal components of particulate matter in concurrent measurements of particle size distribution and pigment concentrations (chlorophylls a, b and c). Using this method, we were able to identify phytoplankton community structure variations at size and functional levels associated with the water column during the spring to summer transition at a Mediterranean coastal site. Some taxa with characteristic size spectrum signatures such as Pseudonitzschia sp., which produced an intense (up to 5 × 10 cells l), but ephemeral bloom, could also be identified. The general patterns of phytoplankton succession obtained using this methodology were corroborated by light microscopy and flow cytometry identification. Phytoplankton biovolume comparisons between both methods were highly consistent (r = 0.75, p < 0.01). We consider that combined pigment and size structure analysis using CCA is a useful tool to determine reorganization patterns of phytoplankton via changes in species composition
Publisher version (URL)https://doi.org/10.3354/meps12559
URIhttp://hdl.handle.net/10261/165168
Identifiersdoi: 10.3354/meps12559
issn: 0171-8630
e-issn: 1616-1599
Appears in Collections:(IMEDEA) Artículos
(ICM) Artículos
Files in This Item:
File Description SizeFormat 
Font_et_al_2018.pdf Embargoed until April 30, 2023676,47 kBAdobe PDFThumbnail
View/Open    Request a copy
Font_et_al_2018_suppl.pdf238 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.