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ORIGINAL RESEARCH article

Front. Earth Sci., 06 September 2022
Sec. Geochemistry
This article is part of the Research Topic Further Rare Earth Elements Environmental Dissemination: Observation, Analysis and Impacts View all 8 articles

Cerium anomaly as a tracer for paleo-oceanic redox conditions: A thermodynamics-based Ce oxidation modeling approach

  • 1MOE, Key Laboratory of Surficial Geochemistry, School of Geological Sciences and Engineering, Nanjing University, Nanjing, China
  • 2Department of Earth, Marine, and Environmental Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

Reconstructing redox conditions in the paleo-ocean is essential to understand the Earth’s biogeochemical evolution. Cerium (Ce) anomaly in marine sediments has been used to distinguish oxic versus anoxic depositional environments in the Paleo-ocean. Previous studies suggested that dissolved oxygen is indispensable to cerium oxidation. Therefore, this reaction can be thermodynamically modeled to quantify oxygen contents in the ocean. This study presents a series of thermodynamics-based models to relate Ce anomaly to dissolved oxygen level. We then evaluated these models in two representatively settings, including an oxic ocean and anoxic basin. Finally, we examined the modeled relationship on a compiled dataset of cerium anomaly and dissolved oceanic oxygen content. These models suggest that the cerium anomaly is quantitatively related to oceanic oxygen, pH, and phosphate concentration. Notably, the results suggest that cerium anomaly is not sensitive to changes in dissolved oxygen in oxic environments. By contrast, Ce anomaly is well correlated with dissolved oxygen in anoxic environments, and it was less affected by pH and phosphate concentration. This research has significant implications for using lanthanide patterns in ancient marine carbonates to quantify dissolved oxygen level, especially during anoxic events in the Paleo-ocean.

1 Introduction

The oxygen level of Earth surface plays a significant role in biosphere evolution (Canfield, 2005; Holland, 2006). Particularly, constraining oxygen levels in the ocean and atmosphere helps to determine the threshold for biological diversification and mass extinction events. However, proxy-based estimates of both atmospheric and oceanic oxygen could vary significantly among various geochemical tracers (Algeo and Tribovillard, 2009; Algeo and Li, 2020; Bellefroid et al., 2018; Canfield, 2005; Chen et al., 2021; Lyons et al., 2014; Liu et al., 2016; Lu et al., 2018; Livermore et al., 2020; Nielsen et al., 2017; Ostrander et al., 2019; Planavsky et al., 2014; Wallace et al., 2017; Zhang et al., 1998). Therefore, reliable/refined proxies are still needed to provide robust reconstructions of oxygen through Earth history. Among various proxies, the cerium (Ce) anomaly in pristine marine sediments have been widely used to infer oxic versus anoxic depositional environments (Alibo and Nozaki, 1999; Behrens et al., 2018a; German et al., 1991; Kamber et al., 2014; Ling et al., 2013; Tostevin et al., 2016; Webb and Kamber, 2000; Zhang and Shields, 2022). Because rare Earth elements (REEs) incorporate into the calcite lattice with similar partition coefficients (Bau et al., 1996; Voigt et al., 2017), seawater REEs patterns including Ce anomaly could be recorded in marine carbonates and resistant to diagenesis alteration and dolomitization (Nothdurft et al., 2004; Li et al., 2019; Liu et al., 2019; Webb and Kamber, 2000). Thus, Ce anomaly values in marine carbonates have been demonstrated to provide continuous records of oxygen level changes in Earth history (Bellefroid et al., 2018; Liu et al., 2021; Wallace et al., 2017). REEs can also substitute for Ca in phosphate minerals such as apatite, and the seawater-like REE pattern extracted from phosphorites suggest that they can record the primary seawater REEs. In addition, Fe/Mn oxides, ion formations, and cherts are also used as seawater REE archives as REEs can be adsorbed onto these sediments without significant fractionation (Bau and Dulski, 1996; Derry and Jacobsen, 1990; Maliva et al., 2005; Planavsky et al., 2010; Siever, 1992; Shields and Stille, 2001).

REEs behave coherently as a group in various environments, and Cerium is the only REE that can be oxidized from trivalent state to tetravalent oxidation state, while other REEs behave as a coherent group and dissolve in seawater in trivalent state. This Ce oxidation process occurs rapidly on the surface of ferromanganese oxyhydroxides in shallow water driven by bacterial mediation and abiotic oxidation (Moffett, 1990, Moffett, 1994a, Moffett, 1994b; Takahashi et al., 2007; Tanaka et al., 2010). Tetravalent Ce is insoluble and is preferentially scavenged onto Fe-Mn oxyhydroxides, leaving the residual seawater depleted in Ce relative to other dissolved REEs after concentration normalization to the UCC (Upper Continental Crust) (Liu et al., 2019; Liu et al., 2021) or PAAS (Post Archean Australian Shale) (German and Elderfield, 1990). Such relative depletion in normalized Ce concentration is referred as the negative Ce anomaly (Ce/Ce* = Ce × Nd/Pr2) (Lawrence et al., 2006; Lawrence and Kamber, 2006), and is ubiquitous in the well-oxidized open ocean. In contrast, REE distribution in modern anoxic water (e.g., Cariaco Trench, Black Sea) usually displays no Ce anomaly or slightly positive Ce anomaly (German and Elderfield, 1990; German et al., 1991). This suggests Ce oxidation is suppressed in the absence of oxygen, and slightly positive Ce anomaly indicates Ce (IV) can be reduced to dissolved state after the scavenging in the reducing environment (Tostevin et al., 2016). Therefore, distinct Ce anomaly values in seawater could indicate their redox environments (e.g., oxic versus anoxic).

Despite that the presence and absence of oxygen generates distinctive Ce anomaly signatures, the large variations of Ce anomalies in the modern ocean have attributed to other factors including cycling of Fe and Mn, ocean circulation and terrestrial inputs such as groundwater and dust (Hathorne et al., 2015; Seo and Kim, 2020; Wang et al., 2022; Zhang and Shields, 2022). Moreover, the quantitative relationship of Ce anomaly on the oceanic dissolved oxygen have not been systematically investigated, especially from a thermodynamic perspective. For example, Liu et al. (1988) developed a thermodynamic model to describe Ce concentrations with the CO2 and O2 partial pressure of the upper oceans. This model requires oceanic Ca concentration that challenges its potential paleo-oceanographic application. Moreover, this model only considered Ce-PO43− complexation, whereas seawater trivalent Ce is mainly complexed with CO32− or HCO3 (Byrne and Kim, 1993; Lee and Byrne, 1993, Lee and Byrne, 1992). It is known that carbonate complexations in Ce (CO3)+ or Ce(CO3)2 become predominant at near-neutral to alkaline pH (Cantrell and Byrne, 1987; Nakada et al., 2017). In addition, the model in (Liu et al., 1988) was calibrated using only one anoxic basin while lacks calibration in the oxic settings.

The objective of this study is to establish the quantitative relationship between seawater Ce concentration/Ce anomaly and the dissolved oxygen contents using thermodynamics-based Ce oxidization modeling approach. Here we examine both carbonate and phosphate complexations and derive models with varying complexations of trivalent Ce and oxidation pathways. More importantly, the models are calibrated using observational data from two modern oceanic profiles, including an oxic open ocean and an anoxic basin.

2 Theoretical considerations

2.1 Compilation of thermodynamic data

The Ce oxidation model considers complexations of dissolved Ce3+ and the oxidation pathways. The dissolved Ce species in the seawater under a normal range of pe-pH conditions are summarized in Table 1. Most dissolved Ce (CCe) (81%) are consist of Ce(CO3)+ and Ce(CO3)2 (Cantrell and Byrne, 1987; Luo and Byrne, 2004) developed the formulations for the carbonate complexations of Ce3+, and the equilibrium constants are at 10°C and 25°C, atmospheric pressure (Table 2):

Ce3++2CO32=Ce(CO3)2 
Ce3++ CO32= CeCO3+
Ce3++2HCO3=Ce(CO3)2 + 2H+
Ce3++HCO3=CeCO3++ H+

TABLE 1
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TABLE 1. The speciation of Ce in seawater (S=35, T=25°C, pH=8.2, Total CO2 = 1.95 mmol/L [for data in de Baar et al. (1988)].

TABLE 2
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TABLE 2. Selected equilibrium constants of reactions at 25°C, atmospheric pressure.

The first and second stability constants for the Ce carbonate complexes in seawater are ∼105.0 and 108.4 (Cantrell and Byrne, 1987). The Ce3+ is also complexed extensively by PO43− in seawater. The stability constant of CePO40 is 1018.5 (Ehrlich, 1968) and 1016 (Byrne and Bingler, 1989), including the activity of CePO4(aq). CePO40 consists less than 0.1% of total Ce3+.

Ce3++ PO43=CePO40

The oxidation of Ce3+ to tetravalent Ce (Ce4+) can be described in:

Ce3+=Ce4++e
Ce4++4OH=Ce(OH)4
Ce3++4OH=Ce(OH)4+e, E0= 1.71V

Notably, Ce3+ can hardly exist in seawater, but usually forms Ce(OH)4, therefore Liu et al. (1988) derived the following reactions using hydroxylation of Ce3+:

Ce(OH)4+ PO43+e=CePO40+4OH,  E0= 0.62V

However, Ce(OH)4 is not stable in seawater and quickly transforms to CeO2:

Ce(OH)4 =CeO2+2H2O

Seawater is a very complex oxygenated solution. Here we use dissolved oxygen as a strong oxidizing agent in seawater because the oxidation of Ce3+ requires the presence of oxygen. The Eh can be expressed by the half-cell reaction (Sillen and Martell, 1964; Millero, 1992):

12H2O=14O2+H++e,Eh0= 0.62V
H2O2=O2+2H++2e,K= 1023.0

2.2 Derivation of equations for Ce oxidation

2.2.1 Complexation with phosphorus ion

The models derived from phosphorus complexation is modified from the formulations in Liu et al. (1988). We derive Model #1 using reactions (5) (8) (10) (15) (17) (Table 2) and have:

CePO403OH+14O2+12H2O=PO43+Ce(OH)4,logK=17.2
log{CePO40}= 24.8+log{PO43}+log{Ce(OH)4}3pH0.25log(pO2)

Liu et al. (1988) calculated that aCe(OH)4  1.6×104. Based on Table 2, CePO40 consists less than 0.1% of total dissolved Ce (CCe). Therefore, we use 0.001 CCe to replace {CePO40} and obtain (Model #1):

log{0.001CCe} log{CePO40}=21+log{PO43}3pH0.25log(pO2)

To avoid using the activity of Ce(OH)4, we add reaction (14) and have the following (Model #2):

CePO40+3OH+14O2=CeO2+32H2O, logK=30.58
log{0.001CCe}{CePO40}=11.42+log{PO43}3pH0.25log(pO2)

We can also use reaction (9) (Table 2) instead of (5) (8) (14) (Model #3):

CePO40+14O2+32H2O=PO43+3H++CeO2, logk=17.9
log{0.001CCe} {CePO40}=17.9+log{PO43}3pH0.25log(pO2) 

The above models used equilibrium and stability constants at 25°C, and Eh0  for reaction (15) (Table 2) is under ideal conditions and a modified E0  needs to be calculated at 10°C,

H2O=12O2+2H++2e,E0=0.84 

For seawater at 10°C, f(O2) = 0.2, pH= 8.1, We have,

Eh=E0+0.0564 log(pO2)+0.056log{H+}

When pO2=0.2,pH=8.1,T= 10,Eh=0.38V, substituting into the

0.38=0.84+0.014 logpO2+0.056log{H+}(1)
Forreaction(6),K={CePO40}{OH}4{Ce(OH)4}{PO43}.{e}
Thus,{e}= {CePO40}{OH}4{Ce(OH)4}{PO43}.K
-log{e}=pe=logK+log{Ce(OH)4}.{PO43}{CePO40}.{OH}4

Therefore,

Eh=2.3RTF=0.056 pe (T=10)=0.62+0.056log{Ce(OH)4}.{PO43}{CePO40}.{OH}4(2)

For K(CePO40)=1016, measured {Ce(OH)4}=1.6×104, and substituting (Eq. 1) into (Eq. 2), we obtain

log{CePO40}=24.9+log{PO43}0.25log(pO2)3pH

For K(CePO40)=1018.52,{Ce(OH)4}=106, we get (Model #4)

log{0.001*CCe} log{CePO40}=24.9+log{PO43}3pH0.25log(pO2) 

When {Ce(OH)4}=1.6 × 104, we obtain (Model #5)

log{0.001CCe} log{CePO40}=22.6+log{PO43}0.25log(pO2)3pH

In Liu et al. (1988), an average of {PO43−} = 10−9.4 in seawater was used as a substitute for {PO43} in Model #5, therefore, we have (Model #6)

log{0.001CCe}log{CePO40}=13.20.25log(pO2)3pH

2.2.2 Complexation with carbonate ions

Using reactions (4), (9), (17), we can derive the following (Model #7):

CeCO3++32H2O+14O2= HCO3+ 2H++CeO2, logK=2.94
log{0.449CCe}∼log{CeCO3+}=2.94+log{HCO3}2pH0.25log(pO2)

From reactions (2) (9) and (17) (Table 2), we obtain

CeCO3++32H2O+ 14O2=CO32+ 3H++CeO2, logK=7.91
log{0.449CCe}∼log{CeCO3+}=7.91+log{CO32}3pH0.25log(pO2)

From reactions (3) (9) and (17) (Table 2), we obtain (Model #9)

Ce(CO3)2 +32H2O+ 14O2= 2HCO3+H++CeO2,logK=8.38
log{0.157CCe} log{Ce(CO3)2 }=8.38+2log{HCO3}pH0.25log(pO2)

From reactions (1) (9) (15) and (16), we get the followings:

Ce(CO3)2 +32H2O+14O2=2CO32+ 3H++CeO2,
 logK=9.86 (I=0.68),logK=18.13 (I=0)

For I = 0.68, (Model #10)

log{0.157CCe}∼log{Ce(CO3)2 }=9.86+2log{CO32}3pH0.25log(pO2)

For I = 0, (Model #11)

log{0.157CCe}log{Ce(CO3)2 }=18.13+2log{CO32}3pH 0.25log(pO2)

Accordingly, eleven derived Ce oxidation models are derived and listed in Table 3 and can be summarized as follows:

log(γiCCe)=K14log(pO2)+ilog{Xi}βipH(3)

TABLE 3
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TABLE 3. Derive equations for Ce oxidation model.

CCe represents total dissolved Ce in seawater, and γi represents the relative activity coefficient for trivalent Ce species including CePO40, CeCO3+, and Ce(CO3)2. (i, Xi) are expressed as (1, PO43), (1, HCO3),  or (2,CO32). βi is one, two or three, depends on each Ce complexation reaction. Therefore, we can derive the general relationships between Ce concentration (CCe) with pO2 and pH as follows:

CCe  1{pO2}14
CCeXii
log(CCe)βipH

Assuming other REEs in the water column are not affected by dissolved oxygen, then Ce anomaly mainly reflects changes in CCe. Thus, we can use the following relationship to quantify changes in pO2, pH, and complexation ligands such as PO43−:

CeCeCCe1{pO2}  1 4(4)
CeCeCCeXii(5)
CeCe CCe {H+} βi(6)

2.3 Sensitivity test

2.3.1 Ce anomalies in the modern ocean

Assuming dissolved free oxygen is the oxidizer for seawater Ce3+, all the derived models show the same relationship between Ce concentration and dissolved oxygen (CeCeCCe1{pO2} 1 4). To evaluate this relationship, we compiled rare earth element concentrations in various vertical seawater profiles including South Pacific Ocean (Alibo and Nozaki, 1999; Molina-Kescher et al., 2014; Zhang and Nozaki, 1996), North Pacific Ocean (Zhang and Nozaki, 1998), West Pacific (Behrens et al., 2018) northeastern Indian Ocean (Nozaki and Alibo, 2003a), South Indian Ocean (Nozaki and Alibo, 2003b), South China Sea (Alibo and Nozaki, 2000), tropical South Pacific Ocean (Molina-Kescher et al., 2018), Southeast Atlantic Ocean (Garcia-Solsona et al., 2014), tropical South Atlantic Ocean (Zheng et al., 2016), tropical Atlantic Ocean (Tachikawa et al., 1999), and the Black Sea (German et al., 1991). Ce anomaly values are calculated using Ce/Ce∗ = CeN × NdN/PrN2 (N means all the concentrations are normalized to the Upper Continental Crust following the approach in Cao et al. (2020) (Figure 1). It was suggested by de Baar et al. (1991) that La is not scavenged strongly and is desorbed to a greater extent, therefore La should be not be used to quantify the Ce anomalies because the La often show positive anomaly in seawater (Lawrence and Kamber, 2006). However, Pr concentration was not measured in the Black Sea in German et al., 1991), thus we use Ce/Ce∗ = Ce × Nd/La2 to calculate the Ce anomaly.

FIGURE 1
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FIGURE 1. (A) Compilations of modern ocean vertical Ce anomaly profiles (Date sources are included in Methods and Materials). The right panel of (A) is enlarged modern ocean depth profiles of the Ce anomaly, displaying only 0–1 km x-axis is in log scale. (B) World map of station numbers used to extract annual dissolved oxygen concentrations in the WOA 13. Ce anomalies are recalculated in this study using Ce/Ce* = Ce × Pr/Nd2 with compiled REE concentrations. For the Black Sea, we use Ce/Ce* = Ce × La/Nd2 to calculate the Ce anomaly because Pr concentration was not measured in that study.

The compiled Ce anomalies show less variations below 500 m, and majority of the Ce anomaly values fall within 0–0.4, corresponding to oxidized seawater. The upper ocean (<500 m) has larger variations but most Ce anomaly values are lower than 1.0 except for some datapoints sampled from the surface water of South Pacific Ocean, and deep water in West Pacific. These samples exhibit Ce anomaly values larger than 1, but the in-situ dissolved oxygen levels in these sampling areas vary from 1 ml/L to 5 ml/L, which is still considered to be oxic. The relatively higher Ce anomalies in oxic water are possibly resulted from higher Ce concentration or lower Nd, Pr concentrations. The higher Ce concentration can due to uncertainties in Ce concentration measurement (de Baar et al., 1991; Sholkovitz and Schneider, 1991; Zhang and Nozaki, 1996) or inputs with no negative Ce anomaly from rivers, groundwaters and dust (Behrens et al., 2018). Nd is conservative in the intermediate water. However, low Nd concentration has been found to be correlated with high salinity water mass of Pacific Tropical Water (Behrens et al., 2018). In tropical oceans, processes other than redox change including scavenging input and ocean circulation can produce high Ce anomalies (>1).

Further, we plot the compiled Ce anomaly against 1/(pO2)0.25 (Figure 2), where we show that high dissolved oxygen contents (pO2 > 0.05) correspond to Ce anomaly values below 0.4, except for few outliers. Whereas as pO2 decreases below 0.01, the Ce anomaly value progressively increases to 1.0, suggesting that under suboxic to anoxic environment the Ce anomaly values are sensitive to minor changes in dissolved oxygen concentration. The correspondences of Ce anomaly to dissolved oxygen concentration in suboxic-anoxic water column suggest that when oxygen is present, Ce anomaly is mainly controlled by the oxidation of trivalent Ce and preferential scavenging of tetravalent Ce relative to other trivalent REEs. While under suboxic-anoxic environment, the positive Ce anomaly could be enhanced by reduction of tetravalent Ce and released from Fe-Mn oxides/hydroxides (German et al., 1991). In the oxic water column, however, absolute Ce anomaly value does not correlate with dissolved oxygen level. Therefore, under oxic environment, dissolved oxygen no longer has dominant control on the Ce anomalies. The variations of Ce anomaly of oxic water mass are resulted from incoherent adsorption and desorption of individual REEs. Ocean particulates, especially Mn oxides and organic matters, preferentially scavenge light REEs, particularly Ce (Zhang and Nozaki, 1996). This implies that Ce anomalies between 0 and 0.4 cannot be related to variations in dissolved oxygen contents.

FIGURE 2
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FIGURE 2. A cross-plot of compiled Ce anomalies and 1/(pO2)0.25. Dissolved oxygen concentrations are compiled from references listed in figure caption of Figure 1 as well as estimated by extracting annual average dissolved oxygen contents at each station utilizing WOA 13. Black circles indicate samples in oxic environments while red circles represent samples under suboxic-anoxic environments.

2.3.2 Model validation

We further calibrated the derived models in two vertical water column profiles: the South China Sea (Alibo and Nozaki, 2000) and the Black Sea (German et al., 1991), representing oxic open-ocean setting and anoxic–euxinic basin, respectively. Temperature, dissolved oxygen (annual average), and phosphate concentrations for the depth profiles were compiled from previous studies as well as estimated according to the WOA 13 (World Ocean Atlas 13) using the Ocean Data View navigation. In addition, alkalinity and pH data were obtained from NOAA (National Oceanic and Atmospheric Administration) (Yaitskaya, 2011) (Supplementary Table S2).

The South China Sea is a large marginal sea and is rapidly flushed by the Pacific Ocean (Alibo and Nozaki, 2000). The dissolved oxygen gradually decreases downwards and reaches the minimum of 2 ml/L, then slightly increases to 3 ml/L towards the bottom (Figure 3A). Meanwhile, Ce anomaly reaches the minimum at 1,000 m and stays constant throughout the vertical profile. The Black Sea is a stable anoxic basin where dissolved oxygen level is down to 1 μmol/L near the O2/H2S interface (1,000–1,200 m) (Rue et al., 1997). This trend is in contrast to both Ce concentrations and Ce anomalies (Figure 3B). From the sea surface to about 75 m, Ce anomaly decreases from 0.5 to 0.1. Below 75 m, with progressive loss of dissolved oxygen in the water column, Ce anomaly increases from 0.1 to ∼1.0, stabilizing between 0.8 and 1.0 below the O2/H2S interface. Below the interface, Ce anomaly maintains above 0.8 except for the deepest sample (Ce/Ce∗ = 0.4). This anomalous feature can be explained by the intrusion of a small amount of well-oxygenated water into the ferruginous water column (German and Elderfield, 1990). Above the oxic/suboxic boundary, the oxidative precipitation of Ce during scavenging leads to depletion of trivalent Ce in the solution. Below the oxic/suboxic interface, as dissolved Mn and Fe concentrations increase, the release of REEs into solution elevate the dissolved Ce concentration while reduce the pronounced Ce-depletion (German and Elderfield, 1989).

FIGURE 3
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FIGURE 3. Vertical profiles of dissolved oxygen content (blue) and Ce anomaly (Ce/Ce* = Ce*Nd/Pr2) (black) for one station in the (A) South China Sea (Alibo and Nozaki, 2000) and (B) the Black sea (German et al., 1991). Here we use Ce/Ce* = Ce × La/Nd2 to calculate the Ce anomaly in the Black Sea because Pr concentration was not measured.

We used dissolved oxygen, phosphate concentration, pH, and alkalinity to calculate the total dissolved Ce concentration using Models #1–#11 and compared the calculated values to the measured concentrations. We use the CO2 equilibrium system to calculate the activity of CO3 and HCO3. For reaction (19) (Table 2), KH stands for the equilibrium constant of association of H2CO3 (aq):

CO2+H2O=H2CO3 (aq)
KH={H2CO3(aq)}pCO2{H2(l)}={H2CO3(aq)}pCO2γH2OχH2O={H2CO3(aq)}pCO20.981

For reaction (20) (Table 2), the equilibrium constants for dissociation of H2CO3 (aq) can be expressed by K1 as:

 H2CO3 (aq)=HCO3+H+
K1={HCO3}{H+}{H2CO3(aq)}={HCO3}{H+}0.981KHpCO2

From here, we can calculate:

{HCO3}=0.981K1KH pCO2{H+}

Similarly, for reaction (21) (Table 2), the equilibrium constants for dissociation of HCO3 (aq) can be expressed by K2 as:

HCO3=CO32+ H+
K2={CO32}{H+}{HCO3(aq)}={CO32}{H+}20.981K1KH pCO2
{CO32}=0.981K1K2KHpCO2{K+}2

We use CA to represent alkalinity and TA for total dissolved carbon dioxide,

CA({HCO3}+{CO32})0.958TA({HCO3}+{CO32}+{H2CO3(aq)})
1={HCO3}TA=[{H+}K1+K2{H+}+1]1
2={CO32}TA=[{H+}2K1K2+{H+}K2+1]1

CCe is calculated using Models #1–11 derived above and compared to the reported values in the two vertical profiles. The offsets of CCe between model calculated and measure are expressed as (calculated Ce concentration/measured Ce concentration − 1) × 100%. In both profiles, Model #3 (log{0.001CCe}{CePO40}=17.9+log{PO43}3pH0.25log(pO2) ) shows the smallest offset of CCe (Figure 4). For the South China Sea, the offsets calculated using Model #3 are smaller than 100% in 0–100 m, and increase 50 folds downwards due to the large variations in phosphate concentration. However, the alkalinity does not vary significantly within the vertical profile, and models based on carbonate complexations (Model #7–Model #11) have constant CCe offsets at different depths. The CCe offsets in the other well-validated model, namely Model #11, are within −80% to −100%. For the Black Sea, CCe offsets in Model #3 vary from −48% to −95%. However, Model #11 does not work well in this profile because alkalinity is about 0.1% of that in the open ocean. At 150 m and 200 m where oxygen almost disappeared, Model #9 shows relatively small offsets, 130% and 213%, respectively. Larger offsets seen in other models may be caused by influences from temperature, thermodynamic data quality, or other processes controlling Ce concentration including dust input and sediment adsorption/desorption processes.

FIGURE 4
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FIGURE 4. Predicted Log{CCe} values by models #1–#11 and previously measured values reported as Log{CCe} in (A) South China Sea, and (B) Black Sea. Parameters needed for model calculation are presented in the Supplementary Tables S1, S2.

3 Discussion

The sensitivity test suggests that under oxic environment, the exact Ce anomaly values does not correspond to a certain dissolved oxygen content, however, the increase in Ce anomaly can semi-quantitatively constrain the deoxygenation level during the transition from oxic to suboxic-anoxic environment, e.g., during oceanic deoxygenation events. Therefore, we define the fCe/Ce∗ as the magnitude of increase in Ce anomaly divided by the starting Ce anomaly. Similarly, we use fO2 and f Xi  to describe the amount of change in dissolved oxygen level, and carbonate/phosphate ions, respectively. The pH change is expressed as ΔpH, meaning the pH increase/decrease after subtracting the starting pH. For example, when Ce anomaly value of the depositional water column shift from 0.1 to 1.0, a.k.a, fCe/Ce is 10. Using Eqs 46, we can calculate fO2, f Xi , and ΔpH (Figure 5). We find that dissolved oxygen concentrations, carbonate and phosphate concentrations are sensitive to fCe/Ce∗. For example, using two well-calibrated models—Model #3 and Model #11, PO43− would increase three folds and CO32− would increase 1.5 folds corresponding to fCe/Ce∗ = 10. The sensitivity of ambient pH to Ce anomaly change is the smallest in Model #3, Model #6 and Model #11, for whom are the best calibrated models using the South China Sea and the Black Sea data. A decline of 0.3 in pH is observed using these models when fCe/Ce∗ = 10. Model #9 has the largest sensitivity of ambient pH to fCe/Ce∗, where pH can decrease by over 1.0 corresponds to fCe/Ce∗ = 10.

FIGURE 5
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FIGURE 5. Model outputs of derived Ce oxidation models in Table 2. We use fCe/Ce* to describe the magnitude/ratio of increase in Ce anomaly. The magnitude of change in dissolved oxygen level, carbonate and phosphate ions are expressed as fO2 and f xi, respectively. The pH change is expressed as ΔpH, meaning the pH of increased Ce anomaly subtracting the starting pH.

Decrease in temperature may influence the complexations of Ce3+ (Cantrell and Byrne, 1987). For example, hydrolysis through the formation of Ce(OH)2+ is enhanced and formation of Ce(CO3)2 is reduced under 15°C relative to 25°C. However, modest temperature effect was reported: the overall Ce speciation at 15°C is found to be very similar to that at 25°C (Cantrell and Byrne, 1987). Decreases in temperature may also influence the stability constants for reactions. As we can see in Eq. 4, despite the equilibrium constants would change with temperature, the relationship between dissolved Ce concentration and other variables remains the same under different temperatures. Thus, we can use the relative Ce anomaly change during deoxygenation event to estimate the extent oxygen loss in the ocean, and potentially estimate changes in pH, phosphate concentration, and alkalinity.

Previous studies have demonstrated that reliable seawater Ce anomaly signals can be extracted from marine carbonates (Cao et al., 2020; Tostevin et al., 2016). Therefore, the model developed in this study can provide a first approximation of the extent of oxygen loss using Ce anomalies of pristine marine carbonates that recorded the oceanic deoxygenation events. For example, compilation of Ce anomaly in marine carbonates from 3.5 Ga to the present show shifts corresponding to the Great Oxidation Event and gives new estimates that the mid-Proterozoic atmospheric oxygen level is about 1% of the present atmospheric level assuming equilibrium between shallow seawater and atmosphere over millions of year time periods (Liu et al., 2021). This Ce oxidization model results serve as a complementary to the multi-proxy compilation of the oceanic oxygen change in response to climate change. However, the model results should be carefully interpreted due to the following reasons. First, as shown in the model, Ce anomaly could be significantly influenced by seawater pH. Therefore, oceanic Ce anomaly in deep time should account for the potential pH changes. Secondly, due to the short residence time of Ce, Nd, and Pr (less than 1,000 years), Ce anomaly values in carbonates that deposited in restricted areas may primarily reflect local redox conditions, thus have limited implication on global-scale redox conditions. The calculation of Ce anomaly involves Nd, Pr, and sometimes La, technically the concentration of these REEs would also cause variations in Ce anomaly values. However, when using Ce anomaly as a local redox proxy, the increase in Ce anomaly value is mainly attributed to a higher Ce3+ concentration. In addition, Ce anomaly values show significant variations within (0–0.4) in fully oxidized water column, therefore within this range, the absolute Ce anomaly value does not necessarily reflect difference in dissolved oxygen content. Lastly, the modeling approach in this study assumes equilibrium attained, therefore the role of kinetics in fractionating REEs is suppressed, although the kinetic effect could be pronounced in dynamic marine environments. This model also does not apply to organic-rich waters and alkaline lakes where positive cerium anomaly was supressed in oxic environment (Davranche et al., 2005; Möller and Bau, 1993; Pourret et al., 2008, Pourret et al., 2007), or generated by ligand-driven oxidation in anoxic environment (Kraemer et al., 2017; Li and Liu, 2020). The microbial oxidation of trivalent Ce is beyond the scope of this study as well (Ohnuki et al., 2015). Nonetheless, this Ce oxidization model could be further tested and applied to quantify oceanic dissolve oxygen levels during various oceanic deoxygenation events, such as the OAE 2 (Oceanic Anoxic Event 2).

4 Conclusion

In this study, we developed and calibrated thermodynamic-based cerium oxidation models using changes in Ce anomaly values to quantify their dissolved oxygen levels in the modern ocean. We emphasize that these models are only suitable when the water column transits from oxic environment to anoxia or vice versa. Moreover, we notice that Ce anomaly value loses sensitivity in tracing small changes in dissolved oxygen content. Our sensitivity analyses indicate that Ce concentration is also impacted by pH, phosphorus concentration, and alkalinity. Therefore, the interpretation of deoxygenation and reoxygenation in seawater requires discussion of possible changes in all these factors that affect Ce anomaly in addition to its redox condition.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

CC and X-ML designed the research, CC performed the research, CC and X-ML wrote the manuscript with inputs from all authors.

Funding

CC acknowledge funding support from the National Natural Science Foundation of China (41991321) and the Graduate Research Fellowship from the The department of Earth, marine and environmental sciences, University of North Carolina at Chapel Hill. X-ML acknowledges funding support from the University of North Carolina at Chapel Hill.

Acknowledgments

Special thanks go to Marc Alperin and Larry Benninger for helpful discussion.

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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/feart.2022.927826/full#supplementary-material

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Keywords: Ce anomaly, Paleo-ocean redox, thermodynamic modeling, rare earth elements, oxidation-reduction reactions

Citation: Cao C, Liu X-M and Chen J (2022) Cerium anomaly as a tracer for paleo-oceanic redox conditions: A thermodynamics-based Ce oxidation modeling approach. Front. Earth Sci. 10:927826. doi: 10.3389/feart.2022.927826

Received: 25 April 2022; Accepted: 18 July 2022;
Published: 06 September 2022.

Edited by:

Mélanie Davranche, University of Rennes 1, France

Reviewed by:

Jun Shen, China University of Geosciences Wuhan, China
Way Foong Lim, Universiti Sains Malaysia (USM), Malaysia

Copyright © 2022 Cao, Liu and Chen. 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: Xiao-Ming Liu, xiaomliu@unc.edu

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