Abstract
Neodymium (Nd) isotopes are considered a valuable tracer of modern and past ocean circulation. However, the promise of Nd isotope as a water mass tracer is hindered because there is not an entirely self-consistent model of the marine geochemical cycle of rare earth elements (REEs, of which Nd is one). That is, the prevailing mechanisms to describe the distributions of elemental and isotopic Nd are not completely reconciled. Here, we use published [Nd] and Nd isotope data to examine the prevailing model assumptions, and further compare these data to emergent alternative models that emphasize benthic processes in controlling the cycle of marine REEs and Nd isotopes. Our conclusion is that changing from a “top-down” driven model for REE cycling to one of a “bottom-up” benthic source model can provide consistent interpretations of these data for both elemental and isotopic Nd distributions. We discuss the implications such a benthic flux model carries for interpretation of Nd isotope data as a tracer for understanding modern and past changes in ocean circulation.
Introduction
Neodymium (Nd) isotopes (denoted εNd, which reflects the 143Nd/144Nd ratio normalized to a Chondritic Uniform Reservoir; Jacobsen and Wasserburg, ) are widely recognized as a valuable tracer for ocean circulation (e.g., Piepgras and Wasserburg, , ; Elderfield, ; von Blanckenburg, ; Frank, ; Goldstein and Hemming, ; Piotrowski et al., ; van de Flierdt and Frank, ). The potential for Nd isotopes to serve as a circulation tracer lies with the observation that εNd distributions appear to mirror the pattern of global deep-water thermohaline circulation. These observations support the assumption that εNd is conservative or “quasi-conservative” in the oceans and will trace water masses in a manner similar to temperature and salinity (Frank, ; Goldstein and Hemming, ). Furthermore, elemental Nd is assumed to have negligible bioactivity, although recent work suggests that there are important caveats to this assumption (Shiller et al., ). However, because of the concerted efforts invested into measuring neodymium in the oceans as well as within sedimentary archives, inconsistencies between the observed distributions and the assumptions inherent in the use of the Nd as a tracer are becoming increasingly apparent. The best known of these inconsistencies is the “Nd paradox” (Jeandel et al., , ; Tachikawa et al., ; Lacan and Jeandel, ). Described in many ways, this paradox fundamentally describes the contradictory observations that while εNd appears to behave conservatively, the water column profile of dissolved elemental Nd ([Nd]) appears to reflect the behavior of a reactive element, showing a nutrient-like distribution (see discussion in Goldstein and Hemming, ). In short, εNd distributions imply a residence time of ≤103 years, while [Nd] distributions imply a residence time of ≥104 years (Bertram and Elderfield, ; Jones et al., ). This discrepancy appears in paired geochemical mixing models (Goldstein and Hemming, ) and models that attempt to reproduce the global distribution of εNd (Tachikawa et al., ; Jones et al., ; Arsouze et al., ; Rempfer et al., ). In addition to the “Nd paradox,” inconsistencies have arisen regarding past records of authigenic εNd, which sometimes prove to be difficult to explain when assuming water mass mixing of fixed end-members (Osborne et al., ; Stewart et al., ), or show exceptional disparities between adjacent sites (Stumpf et al., ; Roberts and Piotrowski, ; Howe et al., ; Hu et al., ).
The problem with εNd as a circulation proxy is fundamentally that while εNd appears to trace water masses effectively, it is not particularly potent at discerning geochemical processes that might impact its distribution. For example, it is difficult to use εNd to determine how a water mass acquires its isotope signature. Although the pattern of global εNd mirrors that of thermohaline circulation the cause of that apparent coincidence is not straightforward. For example, that the deep North Pacific is a Nd isotope end-member for mixing is difficult to justify given that no deep water forms within this basin. If isotopic end members can develop unassociated with preformed properties of the water mass, then there is clearly a need to explain and constrain the effects of these processes on εNd, especially for interpretation of εNd as ancient records of circulation.
Relatively recently, several possible mechanisms for non-conservative behavior of εNd have been forwarded: boundary exchange, Submarine Groundwater Discharge (SGD) and a benthic Nd flux (Lacan and Jeandel, ; Johannesson and Burdige, ; Abbott et al., ). These three hypotheses are all similar in that bottom water can be altered along the sediment-water boundary. Although these hypotheses may have been articulated as distinctly different, the differences among these hypotheses may be simply semantic or reflect our incomplete understanding of the processes involved. Boundary exchange, as described by Lacan and Jeandel () is typically thought to reflect an isotope exchange of Nd with net zero concentration change that occurs between the sediments and bottom water predominantly at ocean margins (Jeandel, ). While this model is highly cited, the specific mechanism or processes are not well defined. In contrast, both the SGD and benthic flux models propose more distinct mechanisms but lack the robust global data sets needed for verification. All three of these hypotheses invoke a potential source of dissolved [Nd] to the oceans from sedimentary fluids; SGD waters are considered here to be originally fresh waters, while the benthic flux model considers seawater as the source fluid origin. These latter hypotheses will differ in the quantity and location of the Nd fluxes they predict and the εNd that they carry. Clearly, the distinctions among all three models is nuanced, and again, probably simply reflects the need for further investigation or even simple definition. However, all three models challenge the underlying assumptions around the conservative nature of εNd in the water column.
A more comprehensive understanding of the marine geochemical cycle of REEs in conjunction with εNd is needed to build more accurate geochemical models and interpret down core records with respect to ocean circulation. The problems arising from the notion of εNd as a paleoproxy perhaps reflect the superficial, and perhaps data limited synthesis between analyses of εNd and the rare earth elements (REEs) throughout the ocean basins. Fortunately, the comprehensive nature of the GEOTRACES water column sampling will go far to improve our understanding of water column processes that affect the REEs and εNd. Here, we discuss published εNd and Nd data from the Atlantic Ocean, with the intent to clarify our understanding of these tracers where they appear to be most robust. While we do not present any new data, we attempt to illustrate that a holistic view of published REE and εNd distributions in the oceans is consistent with predominant control from a benthic sedimentary source. Our conclusion is that processes occurring within the water column (e.g., reversible scavenging) are likely a secondary control on εNd or [REE] in the oceans, save where particle fluxes are exceptionally high, and that benthic fluxes exert primary control over the distribution of these elements and their isotopes.
Modern ocean REEs and Nd isotopes
It was originally held that the REEs are input to the oceans predominantly via rivers, with potential additions via dust where such inputs are relatively high (Byrne and Sholkovitz, ; Greaves et al., ; Tachikawa et al., ; Goswami et al., ; Dunlea et al., ; Stichel et al., 2015; also see Bayon et al., for the alternative view that dust is a sink term). More recently, the emphasis of REE input to the oceans has shifted to greater consideration of a benthic continental margin source for REEs, as we will discuss further later (Spivack and Wasserburg, ; Jeandel et al., ; Goldstein and Hemming, ; Tachikawa et al., ; Arsouze et al., ; Rickli et al., , , ; Carter et al., ; Grasse et al., ; Singh et al., ; Grenier et al., ; Wilson et al., ; Garcia-Solsona et al., ).
In the open ocean, REEs are thought to be transferred from shallow to deep ocean via reversible scavenging on particles sinking through the water column (Elderfield, ; Byrne and Kim, ; Sholkovitz et al., ; Byrne and Sholkovitz, ). However, the heavier atomic mass REEs (HREEs, such as Yb, Lu) tend to have vertical profiles that are more “Si-like,” which is thought to reflect the tendency for greater complexation across the REE series (Cantrell and Byrne, ; Elderfield, ; Byrne and Sholkovitz, ). Finally, removal of REEs from the ocean is thought to be predominantly via metal-oxides, although the role of organic matter, phosphates, or even carbonates, is likely to be important (Byrne and Kim, Byrne and Sholkovitz, ; Schijf et al., ). This model is considered the standard of marine REEs. Nd isotopes should also behave in a manner that is consistent with this model, although as pointed out previously this does not appear to be the case (Goldstein and Hemming, ; Jones et al., ; Arsouze et al., ). Successful efforts to reconcile the inconsistent behavior between elemental Nd and its isotopes, i.e., the Nd paradox, will likely begin with an examination of these first principles of marine REE cycling.
The shift from considering riverine point sources to broad marginal inputs improves model results (Tachikawa et al., ; Arsouze et al., ) and offers an explanation for some of the irregularities observed when comparing Nd and its isotopes such as the constancy of surface ocean water εNd (−7.8 upstream vs. −7.9/−8.0 downstream; Osborne et al., ) around the mouth of the Mississippi river that carries a far less radiogenic signal (at εNd < −11; Goldstein and Jacobsen, , ; Bayon et al., . Budgetary estimates from diffuse benthic REE fluxes, such as SGD or from sedimentary pore water (Sholkovitz et al., ; Greaves et al., ; Haley and Klinkhammer, ; Tachikawa et al., ; Johannesson and Burdige, ; Schacht et al., ; Johannesson et al., , ; Abbott et al., ; Fröllje et al., ), suggest that they may dominate the flux of REEs to the oceans. Importantly, such diffuse, or at least hard to quantify, sources are consistent with deep-water isopycnal mixing of εNd signals off margins that cannot be explained through surface water sources (Grasse et al., ; Grenier et al., ). However, while a diffuse benthic source of Nd appears to better describe the dominant flux of REEs to the ocean, outstanding questions remain. Arguably the most important of these is: what drives this flux? Any mechanism must be reconciled with the remarkably consistent REE pattern of seawater in light of diverse sediment compositions and sedimentary/diagenetic environments. As such, it seems unlikely that simple, unidirectional particulate dissolution can be the mechanism, because the dissolved REE pattern and εNd would to some extent reflect such an input, following arguments posed by Sholkovitz () and reiterated by Bau et al. ().
Another supposition in the current understanding of marine REE cycling is that reversible scavenging controls the vertical distribution of these elements in the water column. In his deeply insightful paper, Elderfield () suggested cause for concern over this conjecture: not for shallow REE adsorption, but in light of a mechanism for desoprtion at depth. For many trivalent cations the pH-edge/Langmuir-front for adsorption onto particle surfaces lies well under a pH of 7 (Morel and Hering, ; Ngwenya et al., ); thus, over a typical oceanic pH range of 7.6 and 8.2 desorption is unlikely. The thermodynamics of desorption become even less favorable as the increasing dissolved concentration at depth would tend to push the equilibrium toward further adsorption (reiterating arguments posed by Elderfield, ). Moreover, given free Nd is <16% of the total dissolved Nd (Millero, ; Schijf et al., ), and surface adsorption coefficients are typically not exceptionally high (in the range of 3 to 5 onto carboxyl and moncarboxylic groups; Smith and Martell, ; Byrne and Kim, ; Ngwenya et al., ), the potential for REE transfer from the shallow to deep ocean via particle surface scavenging should be limited (Elderfield and Greaves, ; Stichel et al., 2015).
In spite of such arguments, lab and field observations attest that the REEs are indeed highly susceptible to adsorption (Sholkovitz, ), and that adsorption onto particles in the ocean certainly does happen (e.g., Sholkovitz et al., ; Tachikawa et al., ). One positive test for REE adsorption in the oceans may be seen in conservative Arctic Ocean REE profiles where particles are near absent (Yang and Haley, ). We do note, however, that a counter-argument can be made in that there does not appear to be an appreciable difference in the [Nd] profiles relating to marginal sites vs. distal sites, where particle loading may be very different (German and Elderfield, ; Grasse et al., ; Goswami et al., ; Haley et al., ; Abbott et al., ; Stichel et al., 2015).
Considering all the arguments and data, a preferred model is that REEs are most likely transferred from the ocean surface to depth through incorporation onto complex organics, such as humic acids, polysaccharides, or other complex organic molecules that have binding coefficients higher than simple carboxyl groups (logK > 9; Byrne and Kim, ; Stanley and Byrne, ; Davranche et al., ; Pourret et al., ; Schijf et al., ). In this way, scavenging is actually achieved via an organic coating carrier phase that is remineralized, thus offering a mechanism for transfer of REEs from the particulate to dissolved phase without subsequent re-adsorption (i.e., not a desorptive process, but a remineralization; Sholkovitz et al., ). This model implies that [Nd] should behave much like δ13C in the water column, wherein their distributions reflect a preformed signal modified by top-down uni-directional input additions related to POC remineralization. Available GEOTRACES data allow us to make an initial comparison of water column [Nd] and δ13C (Mawji et al., ; Stichel et al., 2015; Figure 1). We consider the comparison inconclusive; these data appear to share many similarities (e.g., at Stations 12, 24, 10, especially in the upper 1,000 m) but not everywhere (e.g., at Stations 1, 3, and 7). Comparison of these [Nd] and δ13C data yields no correlation (r2 < 0.05; Figure S1), although the fit of all the data from the upper 50 to 500 m, ostensibly under highest remineralization, is better (r2 ~0.4; Figure S2), which would support scavenging of Nd on isotopically light-C POM. The form of the [Nd] profiles in Figure 1, especially in the upper 1,000 m, does appear to share many of the characteristics of POM remineralization in the oceans (e.g., Suess, ; Martin et al., ) and of AOU (discussed by Stichel et al., 2015). Unfortunately, global compilations, such as presented by Tachikawa et al. (), produce poor correlations between δ13C and [Nd] (r2 < 0.001; not shown), and the similarity between deep (>1,000 m) [Nd] and P* (van de Flierdt et al., ) becomes difficult to justify under the hypothesis of POM scavenging of Nd.
Figure 1
A similar uni-directional release of REEs at depth can also potentially come from deterioration of the lithogenic minerals themselves (Rousseau et al.,
Evaluation of modes of scavenging may be complicated through multiple substrates for scavenging, each of which can deliver REEs to depth (e.g., complex organic molecules as well as lithogenic and biogenic silicates; Akagi et al.,
Our exemplar here is the outstanding work of Bertram and Elderfield (
Finally, regardless of the impact on the water column, we emphasize that all of the potential “top down” mechanisms for remobilizing surface REEs at depth would be greatly enhanced within seafloor sediments (Freslon et al.,
Benthic control
Regardless of the discussions presented above, mechanisms driven via a “top-down” flux of REEs return to the disparity between εNd and [Nd] as discussed by Goldstein and Hemming (
If we consider our prior argument that reversible scavenging does not significantly impact Nd's water column distribution, what then can explain the distribution of [Nd]/εNd at depth? A “bottom up” hypothesis argues that Nd and εNd are truly conservative below the permanent thermocline, except when exposed to a benthic flux. This benthic flux will certainly impact overlying bottom water, but its influence may also be carried laterally along isopycnals, for example off the continental slope (as indicated by Grasse et al.,
The idea of a benthic source for REEs, as described previously (Abbott et al.,
Why then invoke a benthic model? First, if correct, the benthic model would provide a mechanism to reconcile the apparent conflicts in our interpretation of Nd and εNd; and second, the benthic model makes different predictions about how changes in εNd and REEs records can be interpreted, when compared to a reversible scavenging model, as will be discussed later.
The concept of benthic control of [REE]/εNd on Pacific waters is still a nascent idea (Abbott et al.,
Implications of a benthic flux in the atlantic
There is little direct observational data regarding the benthic REE flux to the oceans (Sholkovitz et al.,
Figure 2

Comparison of bottom water radium and neodymium (data from Charette et al.,
Bottom water εNd does not covary with Ra isotopes (Figure 2B). While such a correlation is not obligatory under the benthic control model, work with Pacific sediments suggests that certain components of the sediments may be more reactive during diagenesis, and such reactivity is also likely element specific (Abbott et al.,
We reiterate that there is undeniable evidence in support of the idea that seawater εNd traces basin scale modern water mass circulation, and the benthic control hypothesis suggested here does not detract or contradict these observations. On the contrary, we suggest that records of εNd may potentially be used to actually quantify current velocities, given that the “exposure time” of a water mass to the bottom (Abbott et al.,
Figure 3

Bottom water [Nd] and εNd from Lambelet et al. (
Figure 4

Mixing properties of density and εNd. Conservative mixing of εNd between NWABW and LSW can explain 1-unit of εNd [dashed arrow (a)], leaving 1-unit unexplained [dashed arrow (b)]. Compare to non-conservative alteration via benthic fluxes [solid arrow (c); data from Lambelet et al.,
The Lambelet et al. (
There are three further points relevant to this discussion. First, the benthic control hypothesis does not invoke water mass mixing to explain patterns in εNd such as those shown in Figures 3, 4) That is, there is no obligate change in conservative properties, such as temperature or salinity, as the bottom water εNd is modified. Again, mid-depth water masses detached from the sediment will likely maintain their εNd signatures, or mix them as they would other conservative tracer properties along isopycnals, for example.
Second, the North Atlantic appears to have a propensity to mask the impacts of a benthic flux because ventilation rates are high, and thus exposure times are low. Instances where benthic influences may be directly observed in the North Atlantic (e.g., Lacan and Jeandel,
Third, the benthic flux mechanism seems to be intimately connected to authigenic metal oxides in the sediments (Abbott et al.,
Paleoproxy Nd
Arguably the most important implication of benthic control on marine [REE]/εNd is how we interpret paleoceanographic records of water mass change. For these studies, the difference between a “top-down” or “bottom-up” control on bottom water and on the marine budget of REEs becomes paramount for two reasons:
Firstly, most interpretations of paleo-data treat εNd as fundamentally conservative, discounting the possibility of changes in REE supply that is not the result of water mass mixing or circulation. In a reversible scavenging model, this may be a valid assumption if deep-water sensitivity to surface ocean change is small. However, this supposition then begs the question of why reversible scavenging controls the modern deep [REE]/εNd? On the other hand, in a benthic control scenario the εNd of bottom water may evolve through non-mixing processes: such as a change in the benthic flux or a change in the “exposure time” of the bottom water to this flux (Abbott et al.,
Secondly, similarity between surface sediment archival phases (dispersed oxides, coatings, fish teeth, forams) and bottom water is often cited as evidence for record fidelity under the top down model for εNd. In the benthic control model, such correspondence will result from bottom water that is either dominated by a strong positive benthic flux, wherein the preformed bottom water εNd signature is overwhelmed by a pore water signature supported by the authigenic phases, or from a negative or net-zero pore water flux, such that pore water and authigenic phases passively record bottom water signatures. There is also a range of intermediate conditions where εNd of the archival phase may differ from bottom water, and where we would predict there is a significant, but not overwhelming, positive benthic flux into bottom water (e.g., Du et al.,
Our benthic model may give an initially grim outlook for paleoproxy work, but the situation is probably not at all intractable: in fact, these challenges are likely to be fully resolvable with further observations and models. Most pressing is the need to better determine the mechanisms and sources that define the Nd sink terms within the sediment column: these processes are ultimately what will define the proxy records. For example, Abbott et al. (
Theory and observations all indicate that some aspect of bottom water εNd is maintained in authigenic phases, and is likely identifiable in all sediment (Gutjahr et al.,
Figure 5

Compiled εNd from core top authigenic phases and Bottom water. These data are compiled as averages from all published data within 5° and 10° boxes (ranges within these boxes are shown as error bars). This data compilation is available upon request, or find a similar compilation from Tachikawa et al. (
In summary, while complex, diagenesis does follow predictable rules that make it amenable to modeling, which, in turn, can provide a robust estimation of past changes in the benthic control on bottom water Nd. In turn, these modeled boundary conditions can be used to calculate current direction and velocities as suggested in the modern examples above. Moreover, such studies may provide further evidence for changes in pore waters that can relate to changes in ocean redox or acid-base chemistry. The benthic model adds complexity, but also potential for the application of [REE]/εNd.
Beyond the REEs and εNd
The REEs and εNd are often touted as being excellent tracers of processes that impact marine geochemical cycles in a much broader sense. As such, the hypothesis of benthic control on deep ocean REE cycling may support suggestions for the importance of these diagenetic processes in marine geochemical cycles in general. For example, the same authigenic Fe/Mn oxides apparently involved in the marine cycling of [REE]/εNd are also rich in other trace metals (e.g., Cu, Zn, Ni, Co). These authigenic metal oxides may be acting in an expansive way as a capacitor for geochemical fluxes; i.e., as both a source and sink of these trace metals.
Statements
Author contributions
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
Acknowledgments
This work was supported by NSF grants OCE-1147407 to JM and BH, OCE-1357529 to BH, and OCE-1715106 to JM. We thank Drs. V. Goswami and T. van de Flierdt for their comments, and Catherine Jeandel for editorial handling of this manuscript.
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.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmars.2017.00426/full#supplementary-material
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Summary
Keywords
rare earth elements, neodymium isotopes, marine geochemistry, benthic flux
Citation
Haley BA, Du J, Abbott AN and McManus J (2017) The Impact of Benthic Processes on Rare Earth Element and Neodymium Isotope Distributions in the Oceans. Front. Mar. Sci. 4:426. doi: 10.3389/fmars.2017.00426
Received
02 October 2017
Accepted
12 December 2017
Published
21 December 2017
Volume
4 - 2017
Edited by
Catherine Jeandel, UMR5566 Laboratoire d'études en Géophysique et Océanographie Spatiales (LEGOS), France
Reviewed by
Tina Van De Flierdt, Imperial College London, United Kingdom; Vineet Goswami, Colorado State University, United States
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© 2017 Haley, Du, Abbott and McManus.
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*Correspondence: Brian A. Haley bhaley@coas.oregonstate.edu
This article was submitted to Marine Biogeochemistry, a section of the journal Frontiers in Marine Science
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