Rob Middag
Hein J. W. de Baar
Kenneth W. Bruland
Steven M. A. C. van Heuven- 1Department of Ocean Systems (OCS), NIOZ Royal Netherlands Institute for Sea Research and Utrecht University, Texel, Netherlands
- 2Department Ocean Ecosystems, University of Groningen, Groningen, Netherlands
- 3Department of Ocean Sciences, Institute of Marine Sciences, University of California, Santa Cruz, Santa Cruz, CA, United States
- 4Energy and Sustainability Research Institute Groningen, University of Groningen, Groningen, Netherlands
Nickel (Ni) is a bio-essential element required for the growth of phytoplankton. It is the least studied bio-essential element, mainly because surface ocean Ni concentrations are never fully depleted and Ni is not generally considered to be a limiting factor. However, stimulation of growth after Ni addition has been observed in past experiments when seemingly ample ambient dissolved Ni was present, suggesting not all dissolved Ni is bio-available. This study details the distribution of Ni along the GEOTRACES GA02 Atlantic Meridional section. Concentrations of Ni were lowest in the surface ocean and the lowest observed concentration of 1.7 nmol kg–1 was found in the northern hemisphere (NH). The generally lower surface concentrations in the NH subtropical gyre compared to the southern hemisphere (SH), might be related to a greater Ni uptake by nitrogen fixers that are stimulated by iron (Fe) deposition. The distribution of Ni resembles the distribution of cadmium (Cd) and also features a so called kink (change in the steepness of slope) in the Ni-PO4 relationship. Like for Cd, this is caused by the mixing of Nordic and Antarctic origin water masses. The overall distribution of Ni is driven by mixing with an influence of regional remineralization. This influence of remineralization is, with a maximum remineralization contribution of 13% of the highest observed concentration, smaller than for Cd (30%), but larger than for zinc (Zn; 6%). The uptake pattern in the formation regions of Antarctic origin water masses is suggested to be more similar to Zn than to Cd, however, the surface concentrations of Ni are never fully depleted. This results in a North Atlantic concentration distribution of Ni where the trends of increasing and decreasing concentrations between water masses are similar to those observed for Cd, but the actual concentrations as well as the uptake and remineralization patterns are different between these elements.
Introduction
Primary productivity in the oceans depends on the availability of light and nutrients, among which are several essential trace elements. All phytoplankton need, in order of average requirement, the trace elements iron (Fe), zinc (Zn), manganese (Mn), copper (Cu), nickel (Ni), and cobalt (Co), but other elements such as cadmium (Cd), molybdenum (Mo), vanadium (V), and selenium (Se) are important for specific taxonomic groups [e.g. (Morel et al., 2014; De Baar et al., 2018)]. Of the bio-essential trace metals, nickel remains the least studied. Despite being an essential element in the assimilation of urea as well as in some superoxide dismutase (SOD) enzymes (e.g. Dupont et al., 2008, 2010), the ocean surface concentrations of Ni remain usually well above 1 nM with the exception of some stations in the Indian Ocean where concentrations as low as 0.6 nM were observed (Thi Dieu Vu and Sohrin, 2013). With the exception of this incomplete drawdown in the surface ocean, the distribution of Ni in the ocean is that of a nutrient type element. Notably, the concentrations of Ni are known to correlate with the major nutrients nitrate (NO3), phosphate (PO4), and silicate (Si) (e.g. Bruland, 1980; Ellwood, 2008; Butler et al., 2013; Thi Dieu Vu and Sohrin, 2013). As a consequence of the incomplete Ni drawdown, such correlations are characterized by a positive intercept, i.e. there is “left over” Ni at (near) complete utilization of NO3 or PO4. For example, in the Sub-Antarctic Zone south of Tasmania, a seasonal depletion up to only 20% of the winter stock was calculated (Butler et al., 2013). The excess of Ni that exists after drawdown of the other nutrients might be an indication that not all Ni is bio-available. However, Ni is not known to be chelated by organic ligands to a degree that would hinder biological uptake (e.g. Van Den Berg and Nimmo, 1987; Nimmo et al., 1989; Saito et al., 2004; Morel et al., 2014), but little is known about the binding strength of organonickel complexes and it is feasible part of the dissolved Ni pool is irreversibly complexed on timescales relevant for biological uptake. Alternatively, it has been suggested that the relatively high concentrations of Ni in the surface ocean could be related to an upper limit to the number of membrane proteins for uptake that can be present per cell, combined with the relatively slow kinetics of uptake due to the inertness of the Ni2+ ion (Morel et al., 1991, 2014; Price and Morel, 1991). Additionally, the relatively slow uptake kinetics and relatively poor selectivity for Ni of divalent metal transporters, might lead to metal toxicity of other metals transported along with Ni (Egleston and Morel, 2008). Thus despite their need for Ni, marine phytoplankton might be unable to deplete the Ni concentration to very low concentrations (Morel et al., 2014 and references therein). Dupont et al. (2010), demonstrated in bottle incubation experiments using surface seawater from the Gulf of California that Ni additions could stimulate the growth of cyanobacteria and pico-eukaryotes. This would imply Ni can be limiting, but remarkably, the growth stimulation was achieved with Ni additions only one quarter of the ambient Ni concentrations. This in turn would imply >97% of total ambient dissolved Ni would be complexed by organic ligands that render the Ni non-bioavailable to the local Gulf of California community, which was noted by Dupont et al. (2010) to be at odds with previous reports of Ni speciation in seawater. Assuming no more than 10% of the cellular outer membrane is available for membrane proteins, small phytoplankton like cyanobacteria probably need a free (i.e. not complexed) Ni concentration in the order of 100–200 pmol L–1 whereas larger diatoms need in the order of 750–1500 pmol L–1, depending on the Fe concentration (Dupont et al., 2010). These concentrations are lower than, or in the range of, total dissolved Ni concentrations in the surface ocean, but as mentioned, which fraction is bio-available is currently unknown. Thus, whether uptake kinetics, cellular membrane space limitations, complexation of Ni, or possibly a combination of these factors is responsible for the incomplete drawdown of Ni by phytoplankton in the surface remains an outstanding question, but Ni availability can exert control on marine primary productivity and community composition. This was also corroborated by Ho (2013), who demonstrated the growth of Trichodesmium, a diazotrophic cyanobacteria species, can be limited by inadequate Ni availability in natural seawater, despite a total dissolved Ni concentration of 2 nmol L–1. Additionally, diatoms appear to have relatively high Ni requirements and about half the Ni is associated with the intracellular organic matter and the other half with the siliceous frustule (Twining et al., 2012). Both diatoms and diazotrophs might thus play a key role in the marine Ni cycling and distribution. However, only limited research has been done and thus it can not be concluded with certainty these specific types of phytoplankton play a key role in the cycling of Ni.
Besides the uptake of Ni by marine organisms, not much is known about the sources and sinks of Ni in the open ocean and its distribution seems to be mainly determined by internal cycling (Bowie et al., 2002). The effect of atmospheric input appears limited, either via wet or dry deposition, but continental run off and/or shelf processes have been reported to be a source of Ni (Westerlund et al., 1986; Bowie et al., 2002). Cameron and Vance (2014) postulated that fluvial input is the main source of Ni, where notably particulate Ni that is deposited in estuaries, and subsequently remobilised under anoxic conditions, could be an important process supplying dissolved Ni to the ocean. It is clear that there still is an incomplete understanding of the biogeochemical cycle of Ni and the role Ni plays in marine primary productivity, and that there is a paucity of Ni data for the open ocean. For the generally well-studied Atlantic Ocean, some data is available for the distribution of Ni, with concentrations of ∼ 2 nmol L–1 in the surface up to ∼6 nmol L–1 in the deep [e.g. (Danielsson et al., 1985; Jickells and Burton, 1988; Landing et al., 1995; Saager et al., 1997; Bowie et al., 2002)]. However, these previous studies mostly focused on restricted regions and more recently, the analytical and sampling procedures have been improved due to the global GEOTRACES efforts.
Here we report on the concentrations of Ni that were measured in 1433 samples collected along the ∼17,500 km long GEOTRACES GA02 section of the Netherlands in a campaign of four consecutive GEOTRACES cruises (2010–2012). This offers the opportunity to assess the distribution of dissolved Ni along the complete West Atlantic Ocean, following the southward traveling deep North Atlantic Deep Water (NADW) as well as the northward traveling Antarctic origin water masses. The Ni measurements were all done by the same analysist and members of the specialized NIOZ nutrient laboratory performed the shipboard nutrient measurements, generating a very large, internally consistent, data set. This allows variations to be attributed to oceanic processes instead of analytical variability, akin to our previous studies of Cd (Middag et al., 2018) and Zn (Middag et al., 2019). The aim of the current study is to assess the basin wide distribution of Ni in the entire West Atlantic Ocean and to distinguish between the effects of biogeochemical processes and water mass advection and mixing.
Materials and Methods
Sample Collection and Analysis
The collection of samples along the GEOTRACES GA02 Atlantic Meridional section of the Netherlands (Figure 1A) has been detailed previously (Middag et al., 2015b, 2018). Very briefly, samples were collected using the NIOZ “Titan” system (De Baar et al., 2008) with “Pristine” samplers (Rijkenberg et al., 2015). Along the section that was sampled during four consecutive expeditions, a total of 60 full depth stations were occupied where 24 depths were sampled. Subsamples were taken inside a clean room environment within a modified high cube shipping container. Subsamples for major nutrients were unfiltered, whereas metal samples were filtered over a 0.2 μm filter cartridge (Sartobran-300, Sartorius) under nitrogen gas pressure (0.5 bar overpressure) and collected in acid cleaned LDPE bottles. Subsamples were analyzed as described previously (Middag et al., 2018). For Ni, the limit of detection (three times the standard deviation of the average blank) was 0.07 nmol kg–1. Of the 1433 samples analyzed (for seven of the 1440 samples, extraction failed and samples were not analyzed), nine were flagged as outliers [see (Middag et al., 2011) for criteria] and not used in the dataset. No values were below the limit of detection. As reported previously, results for reference samples (GEOTRACES and SAFe; Table 1) were in agreement with consensus values and results at the BATS crossover station agree well with data obtained by others at the same station (Middag et al., 2015a). The data was submitted to the GEOTRACES standards and Intercalibration committee who acknowledged the data as intercalibrated and this data is part of the GEOTRACES intermediate data products (Mawji et al., 2015; Schlitzer et al., 2018). For the major nutrients [nitrate (NO3), nitrite (NO2), phosphate (PO4), and silicate [Si as Si(OH)4)], the precision of a reference sample was typically around 0.6% of the average value for Si, PO4, NO3 and around 3% for NO2 (Middag et al., 2018 and references therein). The limits of detection were 0.01, 0.03, and 0.04 μmol kg–1 for PO4, Si and NO3, respectively.
Figure 1. The GEOTRACES GA02 section in the West Atlantic Ocean (A) The 17500 km long GEOTRACES GA02 section in the West Atlantic Ocean based on four cruises and comprising 60 stations (red dots) with 24 sampling depths each; and a general overview of the surface ocean circulation and key oceanographic features. (B) The concentration of dissolved Ni in color scale along the transect. (C) The concentration of dissolved PO4 in color scale along the transect. (D) The concentration of dissolved Si in color scale along the transect. Note the color scale is not linear for (D) to better visualize the elevated concentrations of Si in AAIW/uCDW. Abbreviations: AABW, Antarctic Bottom Water; AAIW, Antarctic Intermediate Water; NACW, North Atlantic Central Water; NADW, North Atlantic Deep Water; SACW, South Atlantic Deep Water; uCDW, upper circumpolar deep water.
Table 1. Concentrations of Ni (nmol kg–1) for reference samples (GEOTRACES and SAFe) as obtained in this study as well as a compilation of previously reported values and the 2013 consensus values as reported on the GEOTRACES website (www.geotraces.org).
eOMP Model
The eOMP model used here was previously described in detail (Middag et al., 2018, 2019, notably the Supplementary Material) and is only briefly described here. Broadly following the methodology outlined by Tomczak (1981, 1999), this model infers the fractional contributions of specific source water types to samples, based on five tracers (potential temperature, salinity, NO3, Si, and O2), also considering the effect of remineralization on the concentrations of O2 and nutrients (see Middag et al., 2018 and references therein). The method infers the deficit of oxygen resulting from remieralization: O2–mixing – O2-observed, where O2–mixing is the O2 concentration one would expect based on conservative mixing of endmembers. The endmembers are not defined as “pure,” or “as-formed” water types, but reflect the observations at the extremes of this ocean section and the model thus only accounts for regional (i.e. within the Atlantic) mixing and remineralization. The purpose of the eOMP is to unravel mixing processes from biogeochemical processes. The robustness and uncertainty of the eOMP solution were assessed using a MonteCarlo simulation approach (one thousand estimates, Middag et al., 2018) where both the characteristics of the endmember water types were varied as well as the remineralization ratios. With water mass fractions and remineralization obtained by the eOMP procedure, estimates are obtained of the optimal Ni concentrations for each water type as well the ΔNi:ΔO2 remineralization ratio, via inversion of the system, as done previously for Cd and Zn (Middag et al., 2018, 2019). Note the trace metals were not part of the eOMP itself, rather the eOMP model outcome is used to infer the contribution of water mass mixing to explain the distribution of Ni as well as the contribution of remineralization and the remineralization ratio (Table 2). The uncertainty of the remineralization ratio as well as of the concentrations of Ni in the endmembers is determined using the same approach as for the general eOMP (Middag et al., 2018).
Table 2. Predetermined and eOMP endmember solutions (mixing only and optimized mixing and remineralization Model) for the Ni concentration (nmol kg–1) in the various water types. Additionally the calculated dissolved Ni/PO4, Cd/PO4, and Zn/PO4 ratios are reported for the endmember water masses.
Results
Hydrographic Setting
The hydrography along GEOTRACES GA02 section (Figure 1A) has been described numerous times [e.g. (Rijkenberg et al., 2014; Middag et al., 2015b, 2018)], but will be briefly summarized here as it is directly relevant for the interpretations. North Atlantic Sub-Polar Mode Water (NASPMW) forms the surface water in the most northern part of the transect (Subpolar Gyre). In the North Atlantic Sub-Tropical Gyre (NASTG), North Atlantic Sub-Tropical Mode Water (NASTMW) overlies NASPMW (advected and subducted from the Subpolar Gyre) that in turn overlies North Atlantic Deep Water (NADW). North Atlantic Central Water (NACW) is composed of NASTMW and NASPMW. Formation of NADW mainly takes place in the Labrador Sea and north of the Greenland-Iceland-Scotland Ridge and NADW can be separated in three components; Denmark Strait Overflow Water (DSOW), Labrador Sea Water (LSW) and Iceland-Scotland Overflow Water (ISOW) (ISOW is not distinguished in the OMP). Equatorial Surface Water (ESW) is observed at the lower latitudes and characterized by relatively low salinity. Between ∼20°N and ∼15°S an Oxygen Minimum Zone (OMZ) was observed at depths between ∼100 and 1000 m. Along the section, four (sub-)Antarctic water masses can be distinguished, Antarctic Bottom Water (AABW), South Atlantic Sub-Polar Mode Water (SASPMW), Antarctic Intermediate Water (AAIW) and upper Circumpolar Deep water (uCDW). The AABW is the deepest near bottom water mass formed by deep water formation around Antarctica (also known as Lower Deep Water in the North Atlantic). The SASPMW is also known as Sub Antarctic Mode Water (SAMW), but here the name SASPMW is used to differentiate from varieties present in the Pacific and Indian Oceans. The (sub-)Antarctic water masses all advect northward, AABW along the bottom and the other three at intermediate depth, overlying the southward flowing NADW and underling the South Atlantic Sub-Tropical Mode Water (NASTMW) in the main thermocline of the South Atlantic Sub-Tropical Gyre (SASTG). South Atlantic Central Water (SACW) is composed of SASTMW and SASPMW. Both SASPMW and AAIW are formed from Antarctic surface water where Si is depleted faster than NO3 and PO4 during northward advection after upwelling of Circumpolar Deep Water. Therefore SASPMW can be recognized by its relatively high concentrations of NO3 and PO4 with respect to Si (Sarmiento et al., 2004) whereas this excess NO3 and PO4 with respect to Si is less profound in AAIW as it is formed further south. The Antarctic origin intermediate depth water masses (SASPMW, AAIW, uCDW) and AABW are similarly elevated in NO3 and PO4 with respect to the NADW, whereas Si is mainly elevated in AABW due to the deeper remineralization of Si.
Distribution of Dissolved Ni
The general distribution of Ni (Figure 1B) is consistent with previous observations in the North Atlantic Ocean. For example, for NADW, concentrations of Ni in the range of 3–4 nmol kg–1 have been reported (Danielsson et al., 1985; Saager et al., 1997; Bowie et al., 2002) despite differences in sampling and the absence of a filtration step for some of the earlier studies. This implies Ni is not as contamination sensitive as other metals such as Fe or Zn, and that most Ni is present in the dissolved (<0.2 μm) fraction, or that Ni in particles is not leachable by acidification of an unfiltered sample.
The distribution of dissolved Ni resembles the distribution pattern of Cd as well as the similar distribution patterns of NO3 and PO4 (Figure 1C) better than it resembles the distribution pattern of Si (Figure 1D) and Zn. However, the concentrations of Ni while low, are not depleted to near zero concentrations in the surface ocean, with a lowest observed concentration of 1.7 nmol kg–1 (Figure 1B). As previously observed for Cd and Zn (Middag et al., 2018), surface concentrations are elevated toward the northern and southern end of the transect, with values for Ni up to 4.9 nmol kg–1 in the south and up to 3.8 nmol kg–1 in the north, and low surface concentrations persist to greater depths in the northern and southern subtropical gyres than at higher and lower latitudes. The shoaling of Ni isolines is probably the result of upwelling in the equatorial regions, as well as the inflows of relatively high Ni waters on the northern and southern ends of the transect.
Discussion
Surface Distribution
The relatively low concentrations of Ni in surface waters (Figure 2) imply that any input from external sources such as atmospheric deposition is very small, or that any input is matched by loss factors of equal magnitude. Interestingly, however, surface concentrations of Ni were lower in the Northern Hemisphere (NH) compared to the Southern Hemisphere (SH), whereas dust deposition is known to be higher in the NH (Gao et al., 2001). Specifically, the average Ni concentration in the upper 100 m between the equator and 40°N was with 2.06 nmol kg–1 (standard deviation 0.15 nmol kg–1) significantly lower (one-tailed t-test; p < 0.001) than the average Ni concentration in the upper 100 m between the equator and 40°S with 2.52 nmol kg–1 (standard deviation 0.28 nmol kg–1) (and a similar result for the upper 50 m). Previously, it was noted that surface concentrations of aluminum (Al) (Middag et al., 2015b), Fe (Rijkenberg et al., 2014), and Mn (Van Hulten et al., 2017) were most elevated between 20–30°N, which was attributed to atmospheric deposition, whereas Cd and Zn did not show an obvious increase (Middag et al., 2018, 2019). The concentrations of Ni are ∼2 nmol kg–1 in this region and the lowest surface concentrations are observed between 10–20°N. In this region, the influence of the Amazon River is noticeable in lower salinities at some stations (Rijkenberg et al., 2014), but no coinciding increase is observed for Ni. In this region (between 10–20°N), the Al, Fe, and Mn concentrations were elevated due to dust deposition (and possibly some local fluvial influence), but not to the same extend as between 20–30°N. This implies dust deposition and fluvial input contributes little or negligible to the distribution of Ni in the sampling region, or alternatively, any input is rapidly depleted by biological uptake. With regards to the latter hypothesis, please be aware that even the lowest concentrations of Ni observed are still around 2 nmol kg–1. This would imply the “ambient” dissolved Ni is not bioavailable whereas any additional Ni input would have to be readily available and taken up. As detailed in the introduction, rapid Ni uptake after addition despite relatively high ambient Ni concentrations (>3 nmol kg–1) has been observed before (Dupont et al., 2010), indicating that indeed the ambient Ni pool might not be bio-available whereas newly added Ni can be bio-available. It should be noted, however, this was observed in experiments using water from a different region with different biological, chemical and oceanographic conditions and thus those results are not necessarily representative for processes in the current study region. Whether or not atmospheric dust is an important source of Ni to the study region can not be determined from our current study, but aerosol measurements near Bermuda show Ni is a minor component of aerosols compared to Al and Fe (Fishwick et al., 2014). Nevertheless, addition of Saharan dust in Mediterranean mesocosm experiments (addition of 1 mg dust per liter seawater) led to an increase in Ni of about 2 nM (Herut et al., 2016), indicating dust can be source of Ni to the ocean. To assess if dust contributes to the overall Ni inventory (dissolved and particulate) in the study region, future work should also assess the particulate Ni concentration in conjunction with the dissolved concentrations. Additionally, to further constrain the importance of Ni, it should be determined if the low dissolved Ni concentrations in the region of known dust input coincide with elevated Ni in the biogenic fraction and whether or not phytoplankton growth in this region can be stimulated by Ni additions.
Figure 2. The distribution of the concentration of Ni (nmol/kg) at expanded depth scale in the upper 1500 m depth range, along the GA02 section in non-linear color scale to best visualize the concentration gradients (auto adjust function of ODV).
It is conceivable that the lower surface concentrations of Ni in the NASTG compared to the SASTG are related to nitrogen fixation as nitrogen fixing microbes such as Trichodesmium are thought to have a relatively high Ni requirement (Nuester et al., 2012; Ho, 2013; Ho et al., 2013; Rodriguez and Ho, 2014) and estimates of nitrogen fixation are higher for the NA compared to the SA (Benavides and Voss, 2015). Our data in the West-Atlantic is consistent with this notion and the hypothesis of Schlosser et al. (2014) who postulated that wet dust deposition in the Intertropical Convergence Zone (ITCZ) delivers Fe to the subtropical NA and this Fe stimulates nitrogen fixation. As the observed concentrations of a nutrient element such as Fe are the resultant of the balance between supply and uptake, the observed concentrations are not necessarily representative of supply. Even though the concentrations of dissolved Al, a non-nutrient dust tracer, are affected by scavenging onto biogenic particles (Middag et al., 2015b), concentrations of Al are correlated to the concentrations of Ni in the upper 100 m in the subtropical gyres (Figure 3A) along the GA02 section. However, the relationship is non-linear as with concentrations of Al > ∼35 nmol kg–1, the concentrations of Ni do no longer decrease and sit around the minimum observed concentrations of ∼2 nmol kg–1. Outside the gyres, lower Al concentrations (<∼8 nmol kg–1) are observed that coincide with steeply increasing Ni concentrations. A similarly shaped trend between Ni and Fe, where the lowest Ni concentrations broadly correspond to the region where the highest surface iron concentrations are observed (Figure 3B; similar for Ni and Mn, not shown), implies that there indeed might be a coupling between Fe deposition, nitrogen fixation and Ni uptake that warrants further investigation. As noted previously, uptake of Ni seems to cease around a concentration of ∼2 nmol kg–1, with the lowest concentrations of Ni in regions with the highest estimates for nitrogen fixation. This implies either nitrogen fixers are able to deal with low Ni availability, perhaps by using non Ni-based enzymes for nitrogen fixation, or they might be limited by low Ni availability. Ho (2013) initially suggested the primary role of nitrogen Ni in nitrogen fixation by Trichodesmium is in Ni-based SOD that protects the nitrogenase enzyme (nitrogen fixation enzyme) from superoxide inhibition during photosynthesis. Given the elevated concentrations of Mn in the subtropical gyres (notably the NASTG) (Van Hulten et al., 2017), a Mn based SOD would be a likely candidate to replace Ni-SOD in Trichodesmium as the genome contains the gene coding for Mn-SOD as well (Dupont et al., 2008). Based on the current observations of lowest Ni concentrations in regions of known elevated nitrogen fixation, but most notably given observations elsewhere that nitrogen fixation can be stimulated by Ni additions (Ho, 2013; Ho et al., 2013; Rodriguez and Ho, 2014), it would appear Ni-SOD is the preferred SOD for nitrogen fixers in the Atlantic. However, other phototrophic organisms that are abundant in the Atlantic subtropical gyres such as the cyanobacteria Prochlorococcus and Synechococcous (Flombaum et al., 2013) also use Ni-SOD (Priya et al., 2007) and thus the role of Ni-SOD in explaining the Ni depletion pattern in the Atlantic remains speculative. Moreover, Trichodesmium is not the only nitrogen fixer in the Atlantic Ocean (e.g. Langlois et al., 2005) and besides Ni-based SOD, there is another biochemical function for Ni in diazotrophs. Diazotrophs are known to use a NiFe-hydrogenase (Tamagnini et al., 2002) that would thus require Ni, providing an additional explanation for the higher apparent Ni utilization in regions of enhanced nitrogen fixation. This hydrogenase enzyme can oxidize hydrogen (H2) that is a by-product of nitrogen fixation. The produced H2 can inhibit the nitrogen fixation process, thus providing a negative feedback. However, the hydrogenase enzyme protects the nitrogen fixation process and produces energy as well, which in turn can be used for nitrogen fixation (Tamagnini et al., 2002; Nuester et al., 2012; Rodriguez and Ho, 2014). Whether Ni-SOD, NiFe-hydrogenase or the combination of these drive an increase in Ni uptake in the surface ocean, notably the NH, is beyond the scope of this study but would be an interesting subject for further study. Alternatively, despite the elevated Ni requirement of diazotrophs, it is also possible that the strongest depletion of Ni in the NASTG compared to the SASTG is related to a greater Ni requirement of the overall NH microbial community for the Ni-containing urease enzyme or Ni-SOD, but there are no obvious reasons why this should be the case. Overall, it is here suggested the prevalence of diazotrophs in the NH (due to higher Fe deposition) compared to the SH could play a role in explaining the observed surface distribution of Ni in the west Atlantic ocean, but this remains speculative and should be further investigated in experimental studies.
Figure 3. Concentration of Ni versus the concentration of Al and Fe with latitude in color scale. (A) Concentration of Ni versus the concentration of Al in the upper 100 m. Red line gives the regression between 40°N and 35°S for Al < 35 nmol/kg; Ni = –0.015 × Al + 2.44. (B) Concentration of Ni versus the concentration of Fe in the upper 100 m.
Deep Distribution and Relationship With Nutrients
For dissolved Al, a strong influence was observed from sediment resuspension in the northern part of the transect (Middag et al., 2015b), but for Ni this does not appear to exert an influence on the near bottom concentrations. If at all, the Ni concentrations apparently decrease a little toward the sediments in the region north of 40°N (Figure 1B), but not as profound as previously observed for Cd and Zn (Middag et al., 2018). This decrease is most likely related to the presence of DSOW that is slightly lower in nutrients and several trace metals than the overlying ISOW and LSW. Generally, the deep distribution of Ni reflects the major nutrients and thus, as previously demonstrated for Cd and Zn (Middag et al., 2018, 2019), is governed for an important part by mixing and circulation.
In general, the deep distribution of Ni is correlated most strongly with PO4 (r = 0.95) (and thus Cd; r = 0.97) (Figures 4A,B) and less with Si (r = 0.83) and Zn (r = 0.87)(Figures 4C,D) and as reported before by Bruland (1980), the best correlation coefficient is found for the multiple regression of Ni with both PO4 and Si (r = 0.98 for the multiple regression). Previously, it was postulated based on observations in the northeast Atlantic that the biogeochemical cycles of Ni and Si are not related (Saager et al., 1997). The current larger, high-resolution dataset implies there is a relationship after all, however, whether or not such relationship is discernible, depends on the region and scale of observations. The trends in the distribution of Ni strongly resemble those previously described for the distribution of Cd, implying previous conclusions about the distribution of Cd (Middag et al., 2018) are also broadly applicable to Ni. However, there are some interesting differences as well because Ni and Cd are not perfectly correlated (Figure 4B). This is confirmed by using the same eOMP model as described previously (Middag et al., 2018, 2019). In this eOMP approach, fractional contributions of various source water types to samples are inferred. Subsequently the concentrations of Ni are predicted by multiplication of the assigned Ni endmember concentrations (estimated from our observations) with these fractions. The predicted Ni concentrations reflect the measured Ni concentrations well, where about 95% of the variation in the observed Ni is explained by this model (Figure 5A; R2 = 0.95, root mean square error rmse = 0.28 nmol/kg). Obtaining an optimized set of Ni endmembers (inferred using the eOMP model outcome) slightly improves the fit (Figure 5B; R2 = 0.97, rmse = 0.25 nmol/kg). Accounting for the effect of remineralization (inferred from the eOMP model outcome) further improves the fit (Figure 5C; R2 = 0.98, rmse = 0.21 nmol/kg) with a derived Ni:PO4 ratio of 0.75 nmol/μmol. For Cd, a greater improvement was observed when accounting for the effect of remineralization (40% reduction in rmse for Cd versus a 13% reduction for Ni), implying a larger influence of remineralization on the Cd distribution compared to the Ni distribution. Using the eOMP-derived remineralization ratios, the maximum observed deficit of oxygen of ∼200 μmol kg–1 corresponds to a local, Atlantic remineralization signal of ∼1.2 μmol kg–1 for PO4, 0.25 nmol kg–1 for Cd, 0.5 nmol kg–1 for Zn (Middag et al., 2018, 2019) and 0.9 nmol kg–1 for Ni, which corresponds to ∼50%, 30%, 13%, and 6% of the maximum observed concentrations for PO4, Cd, Ni, and Zn, respectively. Thus given the concentration ranges in context of remineralization in the study region, the larger effect of remineralization relative to mixing on the distribution of Cd compared to Ni in the Atlantic is not surprising. What is remarkable though, is the higher remineralization signal of Ni compared to Zn, as generally it is assumed that phytoplankton have a larger requirement for Zn than for Ni (Twining and Baines, 2013). This suggests the Ni requirement of the overall Atlantic phytoplankton community is relatively high, possibly related to the prevalence of diazotrophs (with a high Ni requirement) in the Atlantic at lower latitudes (Nuester et al., 2012), this in combination with the low concentration of Zn in the surface Atlantic Ocean (Middag et al., 2019).
Figure 4. Concentration of Ni versus the concentration of PO4 (A), Cd (B), Si (C), and Zn (D) with remineralization expressed as the deficit of oxygen (μmol kg– 1) in color scale.
Figure 5. Concentrations of Ni as predicted by the eOMP model versus the observations. (A) Concentrations of Ni predicted using the estimated endmembers and mixing only (Nipred), versus observed Ni concentrations (Niobs); Nipred = 0.93 Niobs + 0.22; R2 = 0.95; rmse = 0.28 nmol kg− 1. (B) Concentrations of Ni predicted using the optimized endmembers and mixing only model, versus observed Ni concentrations; Nipred = 0.97 Niobs + 0.13; R2 = 0.97; rmse = 0.25 nmol kg− 1. (C) Concentrations of Ni predicted using the optimized endmembers for mixing in combination with remineralization based on the deficit of oxygen, versus observed Ni concentrations; Nipred = 0.98 Niobs + 0.10; R2 = 0.98; rmse = 0.21 nmol kg− 1.
As mentioned previously, the distributions of Ni and Cd are overall very similar and both feature a so called “kink,” a change in the steepness of the slope, in the relationship with PO4. In the following text, the Ni-PO4 relationship is systematically assessed from the northern end of the transect toward the equator and from the southern end of the transect toward the equator to identify factors that influence the relationship. This progression southward and northward is based on changes in the relationship that are not obvious when assessing the dataset as a whole. The notation Ni/PO4 (also for other metals) will be used to indicate a spot ratio (i.e. the dissolved ratio), Ni:PO4 (also for other metals) to denote either a ratio of particles, and/or an uptake (biological assimilation) or remineralization ratio derived from a regression slope.
When looking at the data from the NH north of 20°N, the Ni-PO4 relationship is best described by multiple regressions that largely correspond to the various water masses and mixing thereof (Figure 6A), where steeper slopes are observed to the right of the kink (PO4 ∼1.3 μmol kg–1). In the Subpolar Gyre, NASPMW is the surface water mass whereas in the NASTG, NASPMW is overlain by NASTMW that has lower Ni and PO4 concentrations. This leads to some scatter as mixing of NASPMW with underlying LSW in the Subpolar Gyre leads to a mixing line that plots above the mixing of NASTMW-NASPMW-NADW in the NASTG and both these lines have a slope [0.6 and 1.2 nmol μmol–1, green and black regression line, respectively (Table 3)] that is less steep than observed for LSW-DSOW [slope 1.4 nmol μmol–1; red regression line (Table 3)]. The higher concentrations correspond to influence of water masses from southern origin (AABW and AAIW) that were influenced by remineralization as evident from the elevated deficit of oxygen. The concentrations are highest in AABW water influenced samples and mixing between NADW and AABW leads to a steeper slope [2.6 nmol μmol–1; blue regression line (Table 3)] than mixing between NADW/NACW and AAIW [2.3 nmol μmol–1; pink regression line (Table 3)]. When going south of 20°N into the NH equatorial region (Figure 6B), the influence of the Antarctic origin water masses becomes more apparent, as does the influence of remineralization (based on the deficit of oxygen). The kink in the relationship for the deep water masses can be reproduced using the mixing-only eOMP model, demonstrating the mixing of the northern and southern origin water masses causes this feature (Figure 6C).
Figure 6. Concentrations of Ni versus concentrations of PO4 for various parts of the transect as detailed in the text. Equations and other details for the regressions can be found in Table 3, note that the regressions are based on a subset of the data and not necessarily on all data presented in a plot. Concentrations are measured concentrations of Ni and PO4 with the exception of (C) where the modeled concentration of Ni versus the measured concentration of PO4 is presented. (A) Relationships north of 20°N. (B) Relationships in the NH. (C) Relationship between Ni as predicted by the mixing only model and observed concentrations of PO4 in the NH. (D) Relationships south of 40°S. (E) Relationships south of 20°S. (F) Relationships in the SH. Abbreviations: AABW, Antarctic Bottom Water; AAIW, Antarctic Intermediate Water; NASPMW, North Atlantic Sub-Polar Mode Water; NASTMW, North Atlantic Sub-Tropical Mode Water; NADW, North Atlantic Deep Water; SACW, South Atlantic Central Water; SASPMW, South Atlantic Sub-Polar Mode Water; SASTMW, South Atlantic Sub-Tropical Mode Water; uCDW, upper circumpolar deep water.
Table 3. Regression lines as depicted in Figure 6.
Focusing on the SH, starting on the southern end of the transect south of 40°S (Figure 6D), the slope of the relationship in SASPMW is relatively gentle [1.2 nmol μmol–1; yellow regression line (Table 3)] compared to the relationship in underlying water masses AAIW, uCDW and AABW [2.7 nmol μmol–1; purple regression line (Table 3)]. Including all data south of 20°S (Figure 6E), it becomes apparent mixing of SASTM-SASPMW-AAIW in the SASTG [slope of 1.4 nmol μmol–1; gray regression line (Table 3)] leads to a regression line that plots below the relationship in SASPMW in the far south (south of 40°S; yellow regression line), similar to observations for the northern equivalent (near) surface water masses. When looking at the entire SH (Figure 6F), the influence of remineralization leads to data with relatively low Ni concentrations with respect to PO4, i.e. data that plots below the lines of regression determined further south. This is expected given the inferred remineralization ratio of Ni:PO4 ratio of 0.75 nmol/μmol that is smaller than the slopes of regression, implying the Ni:PO4 remineralization ratio for the Atlantic is smaller than in the high latitude source regions as previously postulated for the Cd:PO4 and Zn:PO4 remineralization ratio as well (Middag et al., 2018, 2019).
The northern origin (NADW) and Antarctic origin (AAIW, uCDW, and AABW) deep water masses have different slopes for the Ni-PO4 relationship (1.43 and 2.62 nmol μmol–1, respectively), implying different uptake and remineralization ratios in the various source regions, as previously suggested for Zn and Cd. There is little data available for dissolved Ni in the high latitude oceans, but reported observations do suggest higher surface concentrations in the Southern Ocean [∼5 nmol kg–1 or higher (Lai et al., 2008; Butler et al., 2013; Cloete et al., 2019; Wang et al., 2019)] than in the open Arctic Ocean outside the Transpolar Drift [∼ 4 nmol kg–1; (Danielsson and Westerlund, 1983; Cid et al., 2012; Gerringa et al., unpublished)] or at the northern end of the current transect (Figure 2). The higher concentrations in the Southern Ocean are most likely due to upwelling of older deep water in this region whereas in contrast, the Arctic is largely supplied by nutrient poor surface water transported north with the Gulf stream [and only a modest amount of old (Pacific) water] (Van Aken, 2007). The steeper slopes in Antarctic origin water masses, suggest relatively higher Ni uptake in the Southern Ocean as previously suggested for Cd and Zn (Sunda and Huntsman, 2000; Cullen, 2006). However, reported slopes of regression for the Ni-PO4 relationship in the Southern Ocean are in the range of ∼1.1–1.8 nmol μmol–1 (Ellwood, 2008; Butler et al., 2013; Cloete et al., 2019), only slightly steeper or even lower than observed in NADW and less steep than in Antarctic origin water masses along the southern end of this section. Additionally, the Ni/PO4 endmember ratios (Table 2) are slightly lower in southern than in northern origin water masses, implying that relative to PO4, there is less Ni available in southern origin waters. However, given that the Ni- PO4 relationship has a positive intercept, this is an inherent consequence of the higher PO4 endmember concentrations in the south compared to the north (i.e. the higher the PO4 concentrations, the lower the ratio). When correcting the Ni concentration for the “left-over,” supposedly not bio-available Ni at depleted PO4 (assuming 1.8 nmol Ni at ∼0 μmol kg–1 PO4 based on the average of the 10 lowest concentrations of Ni observed in this study), the ratios are slightly higher for the Antarctic origin deep water masses after all, and reasonably similar for SASPMW and NASPMW. Nevertheless, this does not explain the discrepancy between the slopes of the Ni-PO4 relationship observed within the (Sub)Antarctic Ocean proper (Ellwood, 2008; Butler et al., 2013; Cloete et al., 2019) and along the current transect in Antarctic origin water masses. However, both Butler et al. (2013) and Ellwood (2008) focused on the upper water column of the SubAntartic Zone (SAZ) in the Pacific Section of the Southern Ocean, where mode water is formed, but this is north of the formation region of AAIW in the Polar Frontal Zone (PFZ). Cloete et al. (2019) report data for a station near the location of the Polar Front (PF) and the Sub Antarctic Front (SAF), but not in the PFZ either. Combining the Ni data reported by Lai et al. (2008) with the associated PO4 for the upper water column (upper 300 m) [provided by Prof. Y. Sohrin (Kyoto University) and Prof. A. Bowie (University of Tasmania)], indeed the steepest slope (∼4.94 nmol μmol–1) is found for a station in summer in the PFZ, whereas less steep slopes are observed to the north and south, implying relatively high Ni uptake in the PFZ. However, this is based on a single station and, in contrast, a very gentle slope is found in the PFZ in spring over the Kerguelen plateau (Wang et al., 2019). Cloete et al. (2019) also report an elevated Ni:PO4 uptake ratio of >2 nmol μmol–1 at a single station, which they attributed to increased metal uptake by diatoms, but lower uptake ratios at other stations. Clearly, additional detailed and full depth observations traversing the regions of formation of the various Southern Ocean water masses are needed to figure out whether the Ni-PO4 relationship slopes as observed along the GA02 transect for Antarctic origin water masses are representative of the uptake and remineralization ratio in the source region, or whether this relatively steep slope is primarily the result of mixing during advection into the Atlantic Ocean.
Similarities and Differences With Zn and Cd
The main findings of the better studied cycles and distributions of Zn and Cd in the Atlantic and its source waters will be summarized here and compared to Ni (Figure 7). Previously it was shown that SASPMW is depleted in Zn (Middag et al., 2019) but not in Cd (Middag et al., 2018) and this was related to the depletion of Zn (and Si) that starts already far south in the region of formation of AAIW, whereas Cd (and PO4) are depleted further north. Briefly, uCDW upwells in the far south and advects northward toward the Polar Front (PF). During this northward advection toward the PF, Zn and Si concentrations decrease appreciably whereas PO4 and Cd concentrations remain relatively constant (e.g. Lancelot et al., 2000; Croot et al., 2011; Abouchami et al., 2014; Baars et al., 2014; Zhao et al., 2014), decreasing the dissolved Zn/PO4 ratio in the surface layer. North of the PF in the formation region of AAIW (PFZ), also the Cd and PO4 concentrations start to decrease due to biological uptake where Cd is depleted faster than PO4, leading to a lower dissolved Cd/PO4 ratio in the newly forming AAIW. However, given that depletion of Zn started further south, the effect is stronger on the Zn/PO4 ratio and by the time the SAF is traversed, the Zn and Si concentrations are quite low (<0.5 nmol kg–1 and <2 μmol kg–1, respectively). No detailed high resolution data for dissolved Ni is available for the Atlantic sector of the Southern Ocean traversing the PFZ and SAZ into the Atlantic Ocean. However, given the dominance of diatoms in the PFZ where Si is depleted (e.g. Quéguiner et al., 1997) and the relatively high Ni requirement of diatoms (Twining et al., 2012; Twining and Baines, 2013), it is likely there is significant Ni uptake as well, as was indeed observed in the PFZ in the Indian sector of the Southern Ocean (Lai et al., 2008). Relatively high Ni uptake by diatoms would lead to an elevated Ni:PO4 uptake ratio in forming AAIW. Such uptake would decrease the dissolved Ni/PO4 ratio in forming AAIW if the formed biomass is partly exported and remineralized in underlying water masses. In summary, newly forming AAIW should have intermediate Ni, Cd and PO4 concentrations and a Ni/PO4 ratio and Cd/PO4 ratio that is lower than deep waters (Figure 7). Additionally, this forming AAIW has a relatively low Zn and Si concentration and a low Zn/PO4 ratio compared to underlying water masses (Figure 7).
Figure 7. Conceptual model of trace metal uptake and export in the Southern Ocean and the influence on the Metal/PO4 ratio of the Antarctic origin water masses. The uptake of the various nutrients is indicated for the surface layer in the different latitudinal zones (<denotes uptake, ∼ denotes no or limited uptake, <<denotes rapid depletion). Additionally, effects on the Metal/PO4 ratios due to uptake and remineralization are indicated for the AAIW and SASPMW that play an important role in supplying nutrients to the Atlantic Ocean. This figure was inspired by the figure by Sarmiento et al. (2004); their Figure 4.
North of the SAF in the formation region of SASPMW (SAZ), the low abundance of diatoms due to the depletion of Si (e.g. Quéguiner et al., 1997), is expected to lead to surface waters with a comparatively high Ni/PO4 dissolved ratio due to a presumed lower Ni:PO4 uptake ratio of the non-diatom community. In addition, uptake of Cd and PO4 accelerates, resulting in surface concentrations that decrease in a northward direction where Cd is depleted before PO4 (i.e. a relatively high Cd:PO4 uptake ratio). This decreases the remaining dissolved Cd/PO4 ratio in forming SASPMW, but at the same time, regeneration of exported material increases both the concentrations as well as the Cd/PO4 ratio in underlying AAIW. In contrast, the Zn and Ni concentrations are barely affected by this regeneration whereas the dissolved Zn/PO4 and Ni/PO4 ratios in the underlying AAIW decrease as a consequence of the lower uptake ratio in surface waters in the absence of diatoms. Overall, the Ni/PO4 ratio is relatively high in SASPMW (Table 2), probably because the Ni stock in the formation region is only partly depleted with a relatively low Ni:PO4 uptake ratio. In contrast, the SASPMW has the lowest Zn/PO4 ratio and Cd/PO4 ratio of the southern origin water masses (Table 2). The ratio is most skewed for Zn, as Zn was depleted before the formation region of SASPMW was reached, whereas Cd was depleted later along the northward advection path. The Ni/PO4 ratio in forming AAIW is expected to be relatively low due to a relatively high uptake ratio and the ratio would further decrease due to remineralization of biogenic material from the SAZ (Figure 7 and Table 2). Similarly, AAIW also has a low Zn/PO4 ratio compared to underlying water masses (Table 2). In contrast, the Cd/PO4 ratio in AAIW is slightly lower than in underlying water masses (Table 2) but still relatively high due to regeneration of biogenic material with a high Cd:PO4 ratio formed in the SAZ.
These southern signatures are subsequently transported to the North Atlantic where the mixture of SASPMW and AAIW has a strong influence on the supply ratio to the surface ocean. This mixture supplies both Ni, Cd, and PO4, but very little Zn and Si, generating stark contrast between the near surface Zn-PO4 relationship compared to the Ni-PO4 and Cd-PO4 and relationships (Middag et al., 2019). The influence of uptake and remineralization in the southern formation regions for Ni is relatively modest compared to Zn and Cd. If one assumes the composition of uCDW is representative for the supply to Southern Ocean surface water, the Zn concentration in AAIW is 76% depleted, the Cd concentration 35% depleted and the Ni concentration 23% depleted (Table 2). Comparing SASPMW to AAIW the depletions are 99% and 86% for Zn and Cd, but only 33% for Ni (Table 2). As detailed above, due to dominance of diatoms in the formation region of AAIW and dominance of non-diatoms in the formation region of SASPMW, the Ni:PO4 uptake ratio is likely slightly higher in the former compared to the latter. This leads to a slightly lower dissolved ratio in forming AAIW compared to SASPMW and remineralization of biogenic particles is suggested to add to this effect. Strikingly, even though the Southern Ocean latitudinal uptake pattern of Ni seems more similar to that of Zn with uptake that starts far south due to the influence of diatoms, the mere partial depletion of Ni leads to an export signature that is more similar to Cd for which most depletion occurs north of the SAF. Thus despite the similarities in the gradients of Ni and Cd in the Atlantic Ocean (i.e. trends of increasing and decreasing concentrations between water masses), the underlying processes responsible for the concentration distribution appear quite different for these metals.
Besides the high latitude southern origin water masses, also the high latitude northern origin water masses play an important role in the distribution of elements in the Atlantic Ocean. For Ni, the Ni/PO4 ratio is reasonably similar in NASPMW and SASPMW, as are the Ni concentrations (Table 2). However, the mixing of SASPWM with AAIW that has a relatively high Ni concentration and low Ni/PO4 ratio, results in a ratio below the thermocline that seems to be slightly lower in the SH then the NH (Table 2). This was also observed for the Zn/PO4 ratio at the same depth that is also lower in the SH compared to the NH (Middag et al., 2019), whereas the Cd/PO4 ratio was higher in the subsurface SH compared to the NH (Middag et al., 2018). Overall, based on the better correlation between Ni and Cd (Figure 4B) than Ni and Zn (Figure 4D) one would expect the biogeochemical cycle of Ni to be most similar to the cycle of Cd, but it appears the biogeochemical cycle of Ni shows some striking similarities with the cyle of Zn as well.
Conclusion
The Atlantic Ni-PO4 relationship is not well fitted by a single or bilinear regression. As previously demonstrated for Cd and Zn (Middag et al., 2018, 2019), the Ni distribution is governed by mixing of water masses with various origins and various endmember compositions and as such, multiple distinct regressions can be fitted. Regional remineralization (i.e. within the Atlantic) has a significant influence on the PO4 and Cd distribution whereas the influence on the distribution of Ni (like for Zn) is much smaller with calculated contributions of remineralization of ∼50%, 30%, 13%, and 6% of the maximum observed concentrations for PO4, Cd, Ni, and Zn, respectively. This does not imply biogeochemical processes do not exert a strong influence on the distribution of Ni globally, as it is the biological uptake and remineralization of Ni that is responsible for the nutrient type profile of Ni. However, specifically in the Atlantic, where Antarctic origin water masses with high concentrations of Ni mix with water masses of Nordic origin with a much lower concentration of Ni, the mixing is the dominant control on the distribution of Ni. Additionally, the presumably low availability of Ni in the surface ocean might play a role in the relatively modest remineralization signature.
It is demonstrated here once again that the slope of a regression over the water column or the dissolved spot ratio should not be interpreted as representative of an uptake or remineralization ratio without careful consideration of the influence of mixing of water masses and the endmember compositions of these water masses. The highest concentrations of Ni are observed in the water masses of Antarctic origin, where Ni follows a pattern similar to Cd with the highest concentrations in AABW and uCDW, and concentrations ∼25% lower in AAIW. In contrast to Cd, Ni is depleted to only 50% of the maximum observed concentrations in SASPMW. The depletion pattern of Ni in the source regions of the Antarctic origin water masses is suggested to be more similar to Zn than Cd. In the far south, Ni follows the pattern of Zn due to the higher Ni requirement of diatoms, but the Zn stock is depleted to a much further extend than Ni. Going northward, concentrations of Ni are much less depleted than both Cd and Zn in forming SASPMW due to differences in relative amounts of utilization. The concentration of Ni in AAIW is thought to be mainly the result of incomplete utilization in the formation region with a small influence of remineralization. Despite the different uptake pattern in the Southern Ocean for Ni and Cd, the trends of increasing and decreasing concentrations between water masses in the Atlantic are similar for these metals, even though there is an order of magnitude difference in actual concentrations. However, the gradients in the ratios of Ni and Cd with respect to PO4 are different; e.g. the Ni/PO4 ratio is high in SASPMW compared to underlying water masses whereas the Cd/PO4 ratio is low with respect to underlying water masses.
As both NH and SH subsurface water masses are elevated in Ni with respect to surface waters, supply of Ni to the surface layer of the subtropical gyres should be relatively high as well. Indeed the surface concentrations of Ni are rarely below 2 nmol kg–1, but this might also be related to limited bioavailability of the Ni pool for phytoplankton, as fully depleted Ni concentrations have not been observed in the surface ocean. Surface concentrations of Ni are lowest in the NH and correspond with known regions of high Fe deposition and nitrogen fixation. As nitrogen fixers can have a higher requirement for Ni due the NiFe-hydrogenase enzyme and a Ni based SOD, it is suggested that enhanced uptake of Ni by these organisms could have a strong influence on the surface ocean distribution of Ni.
Future research should be targeted at understanding the bio-availability of dissolved Ni to marine primary producers, including diazotrophs. Both the Antarctic and Nordic origin water masses play an important role in the supply of Ni as well as the ratio of Ni with respect to other nutrients. To better understand what is driving the Ni distribution in the Atlantic Ocean and how sensitive this distribution is to changes, detailed and full depth observations in the formation region of these water masses are needed.
Data Availability Statement
All data reported in this paper is available through the GEOTRACES data repository (http://geotraces.org/dp/idp2017) at the British Oceanographic Data Centre as detailed by Schlitzer et al. (2018).
Author Contributions
RM performed the sampling and analysis and led the data interpretations. HB organized the cruises and funding support and contributed in the interpretations. KB led the analysis. SH contributed to the eOMP analysis and interpretations.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Funding
This work was supported by the Netherlands Organization for Scientific Research (NWO) project grants 820.01.014 (GEOTRACES Netherlands–USA Joint Effort on Trace Metals in the Atlantic Ocean; post-doc of RM at UCSC) and 839.08.410 (GEOTRACES, Global Change and Microbial Oceanography in the West Atlantic Ocean) and the USA National Science Foundation (NSF) grant: OCE-0961579.
Acknowledgments
We are grateful to the captains and crew of the RV Pelagia and RRS James Cook for their support during the cruises. The nutrient data were provided by the NIOZ nutrient laboratory and the oxygen data by Lesley Salt and Maaike Claus (NIOZ). Prof. Y. Sohrin (Kyoto University) and Prof. A. Bowie (University of Tasmania) kindly shared the corresponding PO4 data for their Ni data from the Southern Ocean (Lai et al., 2008). Loes Gerringa (NIOZ) and Erin Bertrand (Dalhousie University) are acknowledged for the useful discussions during the writing of this manuscript and the reviewers are acknowledged for their time and effort that improved the manuscript. Figures were made using ODV (Schlitzer, 2018) with the exception of Figure 7 that was made with the assistance of Nelleke Krijgsman (NIOZ).
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Keywords: GEOTRACES GA02, dissolved nickel, dissolved cadmium, dissolved zinc, west Atlantic
Citation: Middag R, de Baar HJW, Bruland KW and van Heuven SMAC (2020) The Distribution of Nickel in the West-Atlantic Ocean, Its Relationship With Phosphate and a Comparison to Cadmium and Zinc. Front. Mar. Sci. 7:105. doi: 10.3389/fmars.2020.00105
Received: 24 October 2019; Accepted: 10 February 2020;
Published: 03 March 2020.
Edited by:
Antonio Tovar-Sanchez, Spanish National Research Council, SpainReviewed by:
Peter Croot, National University of Ireland Galway, IrelandFrancisco Delgadillo-Hinojosa, Autonomous University of Baja California, Mexico
Copyright © 2020 Middag, de Baar, Bruland and van Heuven. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Rob Middag, cm9iLm1pZGRhZ0BuaW96Lm5s