Modeled Chl:C ratio and derived estimates of phytoplankton carbon biomass and its contribution to total particulate organic carbon in the global surface ocean

Arteaga, Lionel; Pahlow, Markus; Oschlies, Andreas

doi:10.1002/2016gb005458

Cited by 43 publications

(42 citation statements)

References 68 publications

(156 reference statements)

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“…On the other hand, in regions dominated by b bp NAP of inorganic nature not covarying with Chl, such as the Southern Ocean, the computation of phytoplankton carbon via b bp exhibits large differences: RPD values greater than 100% (Figure b). The order of magnitude of our phytoplankton carbon biomass is consistent with the recent estimates of phytoplankton carbon by Arteaga et al () computed with a biogeochemical model able to resolve the Chl:C ratio and accounting for the optical acclimation of phytoplankton to nutrient, light, and temperature. A future challenge concerns to take into account the change of the scaling factor relating b bp to C, as reported in Kostadinov et al (, , ), coupled with the b bp NAP spatial variability as found in this work.…”

Section: Resultssupporting

confidence: 90%

Global Distribution of Non‐algal Particles From Ocean Color Data and Implications for Phytoplankton Biomass Detection

Bellacicco

Volpe

Briggs

et al. 2018

Geophysical Research Letters

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In the last few decades, phytoplankton biomass has been commonly studied from space. However, satellite analysis of non‐algal particles (NAPs), including heterotrophic bacteria and viruses, is relatively recent. In this work, we estimate the backscattering coefficient associated with the NAP fraction that does not covary with chlorophyll based on satellite particulate backscattering coefficient and chlorophyll (bbpNAP). bbpNAP is computed at 100‐km resolution using 19 years of monthly satellite data. We find clear differences in bbpNAP between northern and southern oceans. High bbpNAP values are found in the Arctic and Southern Oceans, the North Atlantic area influenced by the Gulf Stream current, as well as shelf regions (i.e., Patagonian shelf) affected by upwelling regimes. Low correlation between chlorophyll and backscattering prevents precise bbpNAP estimations in oligotrophic areas (e.g., subtropical gyres). These bbpNAP estimations lead to a reduction to half in satellite‐based phytoplankton biomass estimates respect to previously published results.

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Section: Resultssupporting

confidence: 90%

Global Distribution of Non‐algal Particles From Ocean Color Data and Implications for Phytoplankton Biomass Detection

Bellacicco

Volpe

Briggs

et al. 2018

Geophysical Research Letters

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“…A Chl:C ratio of 0.01 (g g 21 ) also coincides with the Chl:C ratio predicted in oligotrophic, nutrient limited areas of the Atlantic and Pacific oceans (Arteaga et al, 2016;Behrenfeld et al, 2005Behrenfeld et al, , 2016. A relatively low Chl:C ratio in the Southern Ocean suggests a ''break down'' of the photoacclimation mechanism of the cells, which should otherwise induce chlorophyll synthesis (and consequently high Chl:C) as a response to low light levels in this high latitude/deep mixing area (Dong et al, 2008).…”

Section: Inferred Chlorophyllsupporting

confidence: 78%

Assessment of Export Efficiency Equations in the Southern Ocean Applied to Satellite‐Based Net Primary Production

et al. 2018

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Carbon export efficiency (e‐ratio) is defined as the fraction of organic carbon fixed through net primary production (NPP) that is exported out of the surface productive layer of the ocean. Recent observations for the Southern Ocean suggest a negative e‐ratio versus NPP relationship, and a reduced dependency of export efficiency on temperature, different than in the global domain. In this study, we complement information from a passive satellite sensor with novel space‐based lidar observations of ocean particulate backscattering to infer NPP over the entire annual cycle, and estimate Southern Ocean export rates from five different empirical models of export efficiency. Inferred Southern Ocean NPP falls within the range of previous studies, with a mean estimate of 15.8 (± 3.9) Pg C yr−1 for the region south of 30 °S during the 2005–2016 period. We find that an export efficiency model that accounts for silica(Si)‐ballasting, which is constrained by observations with a negative e‐ratio versus NPP relationship, shows the best agreement with in situ‐based estimates of annual net community production (annual export of 2.7 ± 0.6 Pg C yr−1 south of 30 °S). By contrast, models based on the analysis of global observations with a positive e‐ratio versus NPP relationship predict annually integrated export rates that are ∼ 33% higher than the Si‐dependent model. Our results suggest that accounting for Si‐induced ballasting is important for the estimation of carbon export in the Southern Ocean.

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“…high latitudes, and estuarine and coastal waters, but lower than in less productive regions, e.g. subtropical latitudes and the open ocean (∼30-70%) (Andersson & Rudehäll 1993, Graff et al 2015, Arteaga et al 2016. Daily phytoplanktonic new carbon production (i.e.…”

Section: Contribution Of Total Ph-c and Dipp To Pcmentioning

confidence: 99%

Seasonal variability in phytoplankton carbon biomass and primary production, and their contribution to particulate carbon in the neritic area of Sagami Bay, Japan

Ara

Fukuyama

Okutsu

et al. 2019

Plankton Benthos Res

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Seasonal variations in environmental variables, chlorophyll a (Chl-a), particulate carbon and nitrogen (PC and PN, respectively), phytoplankton carbon biomass (Ph-C) and primary production were investigated at a neritic station in Sagami Bay, Kanagawa, from January 2008 to December 2013. Size-fractionated Ph-C was converted from cell volume by microscopic observation, adding valuable data for this area. During spring blooms, the micro-size fraction (>20 µm) comprised the majority of the total Chl-a and total Ph-C, whereas during other periods the pico-and nanosize fraction (<20 µm) comprised a larger proportion, indicating that phytoplankton standing crops were affected by sunlight conditions and physicochemical properties of the water. In February-March, phytoplankton biomass increased and formed the first peak of spring blooms under increasing sunlight intensities (>15.7 MJ m −2 d −1 ), high nutrient concentrations and balanced molar ratios. From the regression equations of size-fractionated Ph-C-Chl-a relationships, the mean Ph-C/Chl-a ratio was 5.3-7.7, 29.2-32.6 and 22.1-25.1 for the <20 µm, >20 µm and total fraction, respectively. The Ph-C/Chl-a ratio (1.8-128.8) was regulated by irradiance and nutrients. Growth rate (ca. 0-3.7 d −1 ) was positively correlated with irradiance and assimilation number, and negatively with the Ph-C/Chl-a ratio. The depth-integrated primary production (DIPP) was 0.15-5.43 g C m −2 d −1 . On the basis of the 0-50 m depth-integrated values, the total Ph-C and DIPP accounted for 1.3-34.4% and 1.3-30.9% d −1 of PC, respectively, indicating that PC variations depended on the total Ph-C and DIPP.

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Modeled Chl:C ratio and derived estimates of phytoplankton carbon biomass and its contribution to total particulate organic carbon in the global surface ocean

Cited by 43 publications

References 68 publications

Global Distribution of Non‐algal Particles From Ocean Color Data and Implications for Phytoplankton Biomass Detection

Global Distribution of Non‐algal Particles From Ocean Color Data and Implications for Phytoplankton Biomass Detection

Assessment of Export Efficiency Equations in the Southern Ocean Applied to Satellite‐Based Net Primary Production

Seasonal variability in phytoplankton carbon biomass and primary production, and their contribution to particulate carbon in the neritic area of Sagami Bay, Japan

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