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. 2017 Dec 11;8(1):2036.
doi: 10.1038/s41467-017-02227-3.

Efficient dissolved organic carbon production and export in the oligotrophic ocean

Affiliations

Efficient dissolved organic carbon production and export in the oligotrophic ocean

Saeed Roshan et al. Nat Commun. .

Erratum in

Abstract

Biologically fixed carbon is transferred from the surface to deep ocean as sinking particles or dissolved organic carbon (DOC). DOC is estimated to account for ~20% of global export production, but the degree to which this varies regionally has not been assessed at a global scale. Here we present the first observationally based global-scale assessment of DOC production and export, obtained by combining an artificial neural network estimate of the global DOC distribution, and a data-constrained ocean circulation model. Our results demonstrate that the efficiency of DOC production and export varies more than threefold across oceanographic regions. DOC production and export display a pronounced peak in the oligotrophic subtropical oceans, where DOC accounts for roughly half of the total organic carbon export. These stratified nutrient-depleted regions are expected to expand with future warming, amplifying the role of DOC in the biological pump, and magnifying the need to improve DOC cycling in climate models.

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Conflict of interest statement

The authors declare no competing financial interests.

Figures

Fig. 1
Fig. 1
Distribution of ANN-derived and observational DOC. Color map is the artificial neural network (ANN)-derived dissolved organic carbon (DOC) concentration, and colored dots are the observed DOC concentration at 20 m (a), 300 m (b), and 600 m (c). ANN-derived DOC correlates with ~30,000 observed DOC data points with slope = 1.00, R 2 = 0.95, and RMSE = 2.37 μmol kg−1. A correlation study of data points in the upper 74 m indicates slope = 1.00, R 2 = 0.85, and RMSE = 4.36 μmol kg−1
Fig. 2
Fig. 2
Maps of net DOC production and export fluxes. Net DOC production (NDP) in the upper 74 m (a) and net DOC export (NDX) below 74 m (b). At steady state, the global summation of NDX is equal to that of NDP, and is 2.31 ± 0.60 PgC yr−1
Fig. 3
Fig. 3
Latitudinal variability of DOC production and export to NO3 uptake and C export. a Zonally averaged ratios of net DOC production (NDP) to NO3 uptake within the upper 36 m (solid red line with dashed red lines indicating ±1 standard deviation), 74 m (solid blue line with dashed blue lines indicating ±1 standard deviation), and the deepest euphotic zone over the course of the year (Z eu,max; solid green line with dashed light green lines indicating ±1 standard deviation). Also shown is the global average ratio of C:N in POM (gray shading; ref. ) and the mean NDP:NO3 uptake ratio estimated in a previous study for the Atlantic Ocean (solid brown line; refs. ,). b Ratios of zonally averaged NDP (solid red line with dashed light red lines indicating ±1 standard deviation) and net DOC export (NDX; solid blue line with dashed light blue lines indicating ±1 standard deviation) to satellite-derived C export flux
Fig. 4
Fig. 4
Regional variability of DOC production and export to NPP and C export. a Distribution of depth-integrated mean of nitrate above 74 m, which is used to regionalize the global ocean into distinct regions (solid borderlines): Antarctic Zone (AAZ), Sub-Antarctic Zone (SAZ), Sub-Tropical Pacific (STP), Atlantic (STA), and Indian (STI), and Tropical Pacific (TP), Atlantic (TA), and Indian (TI), and North Pacific (NP) and Atlantic (NA). b Ratio of regionally averaged NDP and NDX fluxes to satellite-derived net primary productivity (NPP) and C export fluxes for the regions shown in panel a. Error bars in b indicate ±1 standard deviation
Fig. 5
Fig. 5
Regional relationship between DOC production:C export and several environmental parameters. Our diagnosed NDP:C export in the upper 74 m is plotted against regionally averaged temperature (a), F pico (fraction of picoplankton) (b) and log10(nitrate) (c). The diagnosed NDP:C export ratios can be explained using a multilinear regression (MLR) model with two predictor variables (F pico, and log10(nitrate)) (d). Error bars in ac indicate ±1 standard deviation. Dashed envelope in d is the 95% confidence interval of the MLR prediction

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