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Patterns of microbial community biomass, composition and HPLC diagnostic pigments in the Costa Rica upwelling dome
Author(s) -
Andrew G. Taylor,
Michael R. Landry,
Alexandra Freibott,
Karen E. Selph,
Andrés GutiérrezRodríguez
Publication year - 2015
Publication title -
journal of plankton research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.87
H-Index - 93
eISSN - 1464-3774
pISSN - 0142-7873
DOI - 10.1093/plankt/fbv086
Subject(s) - prochlorococcus , phytoplankton , synechococcus , photic zone , biomass (ecology) , chlorophyll a , upwelling , oceanography , autotroph , environmental science , environmental chemistry , biology , ecology , cyanobacteria , botany , chemistry , geology , nutrient , bacteria , genetics
We investigated biomass, size-structure, composition, depth distributions and spatial variability of the phytoplankton community in the Costa Rica Dome (CRD) in June-July 2010. Euphotic zone profiles were sampled daily during Lagrangian experiments in and out of the dome region, and the community was analyzed using a combination of digital epifluorescence microscopy, flow cytometry and HPLC pigments. The mean depth-integrated biomass of phytoplankton ranged 2-fold, from 1089 to 1858 mg C m -2 (mean ± SE = 1378 ± 112 mg C m -2 ), among 4 water parcels tracked for 4 days. Corresponding mean (±SE) integrated values for total chlorophyll a (Chl a ) and the ratio of autotrophic carbon to Chl a were 24.1 ± 1.5 mg Chl a m -2 and 57.5 ± 3.4, respectively. Absolute and relative contributions of picophytoplankton (∼60%), Synechococcus (>33%) and Prochlorococcus (17%) to phytoplankton community biomass were highest in the central dome region, while >20 µm phytoplankton accounted for ≤10%, and diatoms <2%, of biomass in all areas. Nonetheless, autotrophic flagellates, dominated by dinoflagellates, exceeded biomass contributions of Synechococcus at all locations. Order-of-magnitude discrepancies in the relative contributions of diatoms (overestimated) and dinoflagellates (underestimated) based on diagnostic pigments relative to microscopy highlight potential significant biases associated with making community inferences from pigments.

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