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2011
DOI: 10.1016/j.dsr2.2010.08.014
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Spatially-resolved taxon-specific phytoplankton production and grazing dynamics in relation to iron distributions in the Equatorial Pacific between 110 and 140°W

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Cited by 66 publications
(73 citation statements)
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References 90 publications
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“…Even under this model construction that did not allow direct sinking of picodetritus, however, picophytoplankton were responsible for producing 18% of the exported carbon (three-fourths of the percentage predicted by the proportionality argument and half their contribution to carbon biomass). A strong growth-grazing balance for picophytoplankton populations, with protists applying essentially all of the grazing pressure, follows directly from the experimental measurements Selph et al 2010) and is a consistent feature of both forms of our model and minimization schemes. Thus, unlike the Richardson et al (2004,2006) analyses, the export of picophytoplanktonbased production cannot be said to be unrealistically enhanced by a large fraction escaping consumption in the microbial food web and passing directly to detritus.…”
Section: Discussionmentioning
confidence: 80%
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“…Even under this model construction that did not allow direct sinking of picodetritus, however, picophytoplankton were responsible for producing 18% of the exported carbon (three-fourths of the percentage predicted by the proportionality argument and half their contribution to carbon biomass). A strong growth-grazing balance for picophytoplankton populations, with protists applying essentially all of the grazing pressure, follows directly from the experimental measurements Selph et al 2010) and is a consistent feature of both forms of our model and minimization schemes. Thus, unlike the Richardson et al (2004,2006) analyses, the export of picophytoplanktonbased production cannot be said to be unrealistically enhanced by a large fraction escaping consumption in the microbial food web and passing directly to detritus.…”
Section: Discussionmentioning
confidence: 80%
“…These experiments were incubated for 24 h in seawater-cooled deck incubators at light levels representing 0.1%, 0.8%, 5%, 8%, 13%, 31%, 52%, and 100% of incident solar irradiance, corresponding to light levels at the depth of sample collection. Taxonspecific rates were determined by either high-pressure liquid chromatography pigment analysis (divinyl chlorophyll a [Chl a] was considered representative of Prochlorococcus, fucoxanthin of diatoms, and monovinyl Chl a of total eukaryotic phytoplankton) or flow cytometry samples (Prochlorococcus and Synechococcus; Selph et al 2010). Pigment-derived rates were corrected for systematic changes in cellular pigment content during incubation using the initial and final experimental samples to assess the changes in the mean ratios of accessory pigment to microscopical assessments of phytoplankton biomass (e.g., fucoxanthin : diatom C).…”
Section: Methodsmentioning
confidence: 99%
“…Of particular relevance is the work of Landry et al (2011a) and Selph et al (2011), which include experiments from the same cruise as used here as well as a 2004 cruise to the same region. Those studies focused on taxonomic-based rates generated from HPLC pigment concentrations and flow cytometry data instead of size-based rates.…”
Section: Application To Field Datamentioning
confidence: 99%
“…Given the observed relative constancy of growth and grazing rates and community composition among stations (Landry et al 2011a;Selph et al 2011), combining data sets is expected to highlight rather than mask the underlying size dependencies. Once the data were pooled, the cells were divided into bins with edges of 0.45, 0.65, 1.25, 2.75, and 4.00 µm.…”
Section: Application To Field Datamentioning
confidence: 99%
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