A simple model for the CaCO3 saturation state of the ocean: The “Strangelove,” the “Neritan,” and the “Cretan” Ocean
Abstract
[1] A simple model of the CaCO3 saturation state of the ocean is presented. It can be solved analytically and is intended to identify the fundamental controls on ocean carbonate ion concentration. It should also attract researchers unfamiliar with complex biogeochemical models. Despite its limitations, the model-calculated CaCO3 saturation state of today's ocean agrees well with observations. In general, the model reveals three distinctly different modes of operation: The “Strangelove Ocean” of high supersaturation which is dominated by inorganic CaCO3 precipitation, (2) the “Neritan Ocean” of indefinite saturation dominated by biogenic shallow-water CaCO3 precipitation, and (3) the “Cretan Ocean” of low saturation dominated by biogenic pelagic CaCO3 precipitation. In the latter mode, the deep ocean [CO32−] is remarkably stable, provided that the biogenic production of CaCO3 exceeds the riverine flux of Ca2+ and CO32−. This explains the overall constancy of the saturation state of the ocean documented over the last 100 Ma. The model is then used to address diverse questions. One important result is that the recovery of the oceanic carbonate chemistry from fossil fuel neutralization in the future will be accelerated due to expected reduced biogenic calcification.
1. Introduction
[3] In the modern ocean, the saturation state is tightly coupled to the position of the so-called “snow line,” the depth above which the ocean floor is mainly covered with calcite while below it is largely calcite-free. The ocean floor hence resembles a landscape with snow-covered mountains. The transition from calcite-rich to calcite-depleted sediments is not abrupt but rather gradual and the depth of rapid increase in the rate of dissolution as observed in sediments is called the lysocline. The depth at which the sediments are virtually free of calcium carbonate is called the calcium carbonate compensation depth (CCD).
[5] The feedback between the calcite saturation state – i.e., the deep ocean carbonate ion concentration – and the lysocline works as follows. Assume there is an imbalance between the riverine influx of dissolved CaCO3 derived from weathering on the continents and the CaCO3 burial in the deep sea. If the riverine flux is larger than the burial, then the carbonate ion concentration will increase. This leads to a deepening of the saturation horizon (Figure 1) and thus to an increased burial because a larger fraction of the seafloor is now bathed in supersaturated water. Finally, the burial will again become equal to the riverine flux, and a new balance is restored. This mechanism is called calcite compensation and its e-folding time scale is of the order of 10,000 years. In the absence of pelagic production and thus deep sea burial, biogenic shallow-water and inorganic CaCO3 precipitation are the major players controlling the saturation state (see below).
[6] In the current paper, we attempt to formulate a simple model of the CaCO3 saturation state of the ocean—the model can be solved analytically. Our desire for simplicity is twofold. First, the model shall be used to identify the essential parameters controlling the saturation state of the ocean, while details that can be shown to only cloud this picture are ignored. This should help to stimulate and clarify our thinking on the fundamental operation of the marine CaCO3 cycle. It is therefore anticipated that the model is also of use for scientists unfamiliar with biogeochemical models implemented in general ocean circulation- or box models. Second, the model shall be employed to investigate diverse problems on various time scales which would require long integration times if sophisticated models are used.
[7] In the following, the model is introduced with boundary conditions representative for the modern ocean (2). Then, the steady-state solutions of the model are presented which reveal three different modes of operation to be termed the “Strangelove,” the “Neritan,” and the “Cretan” Ocean (12). We will demonstrate that today's ocean operates in the latter mode and that the model-calculated CaCO3 saturation state agrees well with observations. The modern ocean's saturation state is shown to be a consequence of the interplay of the biogenic CaCO3 production at low supersaturation—a biological process—and the solubility of CaCO3 in seawater, a physicochemical property. It is argued that the remarkable stability of the Cretan Ocean is the reason for the observed overall constancy of the saturation state of the ocean documented over the last 100 Ma. The combination of pelagic and neritic production—of which the latter was probably more important in the distant past—is considered as well. Subsequently, the assumptions and limitations of the model are discussed in detail (16). Finally, the model will be applied to three different problems (22): (1) effects of reduced biogenic calcification on the time scale of fossil fuel neutralization recovery (2) the impact of glacial rain ratio changes on atmospheric CO2, and (3) the influence of the carbonate chemistry on biogenic calcification during periods of high atmospheric pCO2.
2. The Model
[8] The model to be presented calculates the deep ocean carbonate ion concentration and thus the CaCO3 saturation state of the deep ocean which is accomplished by considering the input and output fluxes of CaCO3, Ca2+ ions, and CO32− ions. The model will be based on boundary conditions for the modern ocean.
[9] A single reservoir is considered, representing the deep ocean (Figure 2). The most shallow part of the ocean floor is located at a depth of 1 km, while the deepest part is located at 6.5 km. In between, a linear increase of the ocean floor area fraction with depth is assumed. Shallow-water environments above 1 km are included in the model through CaCO3 accumulation (see 6). Continental weathering releases Ca2+ and CO32− ions that are transported through rivers into the ocean, generating an influx, Fin. Note that in the current context the description of precipitation and dissolution of CaCO3 via Ca2+ + CO32− CaCO3 and Ca2+ + 2HCO3− CaCO3 + CO2 + H2O is equivalent because total dissolved carbon (ΣCO2) and total alkalinity (TA) are changed in a ratio of 1:2 in both cases. Seawater above the calcite lysocline is assumed to be supersaturated and calcite falling on that part of the ocean floor is thought to be preserved (cf. discussion in 20). Calcite falling on the remaining area of the ocean floor is dissolved completely. Thus in the model the calcite lysocline depth is identical to the calcite saturation depth. All model assumptions made above are discussed in 16. Model saturation concentrations and fluxes will be denoted by frequently used symbols which are summarized in Table 1.
Variable | Description | Valuea | Value (μmol kg−1) |
---|---|---|---|
cn | Neritic aragonite saturation | 0.62b | 32 |
cs | Calcite saturation at z = 1 km | 1 | 52 |
cb | Pelagic biogenic saturation | 1.73b | 90 |
cd | Calcite saturation at z = 6.5 km | 2.83 | 147 |
cc | Critical inorganic supersaturation | 4.00b | 208 |
Δ | cd − cs | 1.83 | 95 |
Variable | Description | Value | Expression |
Fin | Riverine flux | 1 | |
Fn0 | Biogenic neritic flux parameter | setc | |
Fn | Biogenic neritic flux | Fn0(c − cn)2/cs2 | |
Fpm | Biogenic pelagic flux, maximum | setc | |
Fp | Biogenic pelagic flux | Fpm × [c/cbor 1] | |
Fb | Total biogenic flux | Fn + Fp | |
f | Ratio of neritic to total flux | Fn/Fb |
- a Dimensionless (expressed in terms of cs).
- b Scaled to deep ocean values, see text.
- c Independent variable, set to multiples of Fin.
2.1. Timescales
[10] The time scale of the model is of the order of 1,000 to 10,000 years and we neglect all processes that may change [CO32−] on time scales smaller or larger than this. The dominant processes affecting [CO32−] on this time scale are the riverine flux of Ca2+ and CO32− ions (weathering), the inorganic or biogenic precipitation of CaCO3 within the ocean, and the burial of CaCO3 in shallow-water environments or in the deep sea. Time scales smaller than 1,000 years cannot be represented by the model because the deep sea reservoir is assumed to be well mixed which takes about 1,000 years. On time scales larger than 10,000 years, the riverine flux and whole ocean inventories of ΣCO2, TA, and Ca2+ may change (Ca2+ only on Ma time scale) and the model solutions do no longer apply. However, the model is always applicable to individual time intervals (shorter than 10,000 years) at any given time in the past using appropriate boundary conditions for that time interval.
2.2. The Steady-State Equation
[13] Next we have to specify the possible output fluxes on the right-hand side of equation (3) and then—provided that a steady-state solution exists—solve the equation for c. In order to do this, information on the solubility of calcite and aragonite has to be provided.
2.3. Solubility of Calcite and Aragonite
[14] In the model, the intercept of the deep ocean carbonate ion concentration and the carbonate ion concentration at calcite saturation (short: saturation concentration) determines the position of the lysocline. The solubility of calcite and thus the saturation concentration increases with depth. For the sake of simplicity, we assume a linear increase of the saturation concentration with depth, and set the value at 1 and 6.5 km to 52 and 147 μmol kg−1, respectively. This approximation is quite reasonable as the comparison with the curve given by Broecker and Takahashi [1978] and refined by Jansen et al. [2002] shows (Figure 3).
[15] As mentioned above, concentrations will in the following be expressed in terms of the saturation concentration at 1 km (52 μmol kg−1). For example, the saturation concentration at 1 and 6.5 km, which is denoted by cs and cd, is then equal to 1 and 2.83, respectively (Figure 3). Note that indices “s” and “d” stand for shallow (1 km) and deep (6.5 km); all symbols used for characteristic saturation concentrations in the model are given in Table 1.
[16] The saturation concentration is one of the essential parameters determining the deep ocean carbonate ion concentration. It is therefore interesting to note that this is a purely thermodynamic quantity given by the solubility of calcite which can be determined in the laboratory as it is solely determined by the physicochemical properties of calcite and seawater.
[17] For the calculation of precipitation fluxes in the neritic environment, aragonite saturation needs to be considered which is probably the most important polymorph of CaCO3 deposited in shallow-water areas [Opdyke and Wilkinson, 1993]. The surface water carbonate ion aragonite saturation concentration at T = 25° C, S = 35, and P = 1 atm is 63 μmol kg−1 [Mucci, 1983] which has to be translated into a corresponding deep ocean concentration because this is the state variable of the model. Today's average surface ocean [CO32−] is roughly two times that of the deep ocean. Assuming that surface saturation decreases proportionally to the deep saturation when the latter approaches zero, the surface aragonite saturation corresponds to a deep ocean concentration of 32 μmol kg−1 or cn = 0.62 in terms of cs, where cn will be called the neritic saturation. The value assumed for cn has no essential effect on the model outcome as presented here, see 19.
2.4. The “Strangelove Ocean”
[18] First, we specify the output flux in a hypothetical ocean in which inorganic precipitation is the dominant mode of CaCO3 removal from seawater. This scenario will be termed the “Strangelove Ocean” which is usually used in the literature to denote an ocean in which all life has been eliminated. In the current paper, however, the term “Strangelove Ocean” is used for an ocean in which life may indeed exist but in which biogenic precipitation of CaCO3 is essentially absent (to be defined more precisely later on).
[20] In summary, the assumption is that cc is distinctly higher than the solubility concentration at calcite saturation in the deep ocean, cs or cd. Figure 4a shows the output flux in the Strangelove Ocean for cc = 4 × cs and γ = 500. The value for cc was picked arbitrary just to produce the figure, the value for γ was assumed to be large, implying that once inorganic precipitation is triggered, it is supposed to be rapid and widespread. One may, however, pick different values. Because a steady-state is required, also the Strangelove Ocean must obey that input equals output, i.e., weathering equals burial. The only output in the Strangelove Ocean is generated at c > cc, which means that the steady-state concentration is always higher than the saturation concentration in the deepest part of the ocean, i.e., c > cd. It follows immediately that there cannot be any seafloor dissolution in the Strangelove Ocean since even the deepest part of the ocean floor is bathed in supersaturated waters.
2.5. The “Neritan Ocean”
[21] In contrast to the Strangelove Ocean, now an ocean is considered that harbors organisms capable of inducing or directly precipitating CaCO3 biogenically. The habitat of those organisms shall be restricted to the shallow-water environment. We will call this the “Neritan Ocean.” (The term Nerita refers to a genus of marine molluscs and probably stems from Nerites, a Greek God who was transformed into a mussel because he refused to follow Aphrodite to the Olympus. The commonly used term “neritic” refers to the marine shelf areas of less than ∼200 m depth). In this sense, the neritic organisms that produce CaCO3 such as corals, calcareous algae, snails, or mussels and all organisms that can mediate CaCO3 precipitation are the “Neritans” or the protagonists of the Neritan Ocean. The term shall emphasize the difference to the Strangelove Ocean where there may well be calcium carbonate precipitation—but no protagonists.
2.5.1. CaCO3 Production in the Neritan Ocean
[23] The relation between the model parameterization of neritic CaCO3 production and natural processes occurring in the ocean may be described as follows. The pre-factor Fn0 is a measure of the CaCO3 production of the total population of shallow-water calcifiers in the Neritan Ocean. This includes factors such as the ecological success of those groups but also the areal extent of shelves, i.e., the size of the habitat available to neritic organisms which may change, for instance, due to sea-level fluctuations. On the other hand, the ability of the individual organism to either produce CaCO3 or induce CaCO3 precipitation is reflected in the second term of our parameterization [(c − cn)2 in equation (6)] which strongly depends on the saturation state of the surrounding seawater. Together, the pre-factor Fn0 and the dependence on the saturation state determine the total neritic flux at any given saturation state as shown in Figure 4b.
2.6. The “Cretan Ocean”
[24] In the current section we consider an ocean which harbors pelagic calcifiers capable of precipitating CaCO3 biogenically at a supersaturation significantly lower than the critical inorganic supersaturation, cc. The CaCO3 production shall be entirely biologically controlled and to a large degree independent of the external supersaturation. Because in this ocean CaCO3 production occurs in the open ocean, deep sea accumulation and dissolution comes into play. We will call this the “Cretan Ocean.” (Creta is the Latin word for chalk, cf. “Cretaceous.”) In this sense, the pelagic CaCO3 producing organisms such as foraminifera and coccolithophorids are the “Cretans” or the protagonists of the Cretan Ocean. The term shall emphasize the difference to the (1) Strangelove Ocean where there may be precipitation but no protagonists and (2) to the Neritan Ocean where the protagonists are restricted to the shallow-water environment and their production strongly depends on the saturation state.
2.6.1. CaCO3 Production in the Cretan Ocean
[26] In the Cretan Ocean, the relation between model parameterization of pelagic, biogenic calcite production and natural processes is as follows. The maximum biogenic flux corresponds to the total CaCO3 production of the total population of calcifiers in the open ocean if the production is not diminished by low saturation state. For example, increasing Fpm therefore signifies a larger population and variations in the ecological competitiveness between e.g., calcifying and non-calcifying groups are reflected in Fpm. On the other hand, the dependence of the calcification rate on the saturation state below the biogenic saturation reflects the ability of the individual organism to produce calcite (cf. 18). Together, the maximum biogenic flux and the biogenic saturation determine the total biogenic flux at any given saturation state (Figure 4b).
[27] It is noted that our pelagic CaCO3 production fluxes refer to that portion of CaCO3 which settles down to the depth of the saturation horizon (SH). CaCO3 redissolved in the upper water column, say in the upper 1000 m, is irrelevant to the current model because this carbonate cannot be buried even if the SH rises. It therefore does not affect the inventories of Ca2+, ΣCO2, and TA (see 16).
2.6.2. Dissolution in the Cretan Ocean
[29] In contrast to the Strangelove and Neritan Ocean where either the high supersaturation or the absence of pelagic production prevents CaCO3 dissolution in the deep sea, in the Cretan Ocean dissolution of CaCO3 in the deep sea is feasible. It is this dissolution that is crucial to maintaining the steady-state between weathering and burial at a low saturation state.
[30] For the description of the dissolution in the Cretan Ocean, four different domains have to be considered of which two are very simple to describe. If the deep sea carbonate ion concentration, c, is greater than the solubility concentration in equilibrium with calcite at the ocean's deepest spot, cd (here 6.5 km), then no calcite can be dissolved since the entire ocean floor is bathed in supersaturated waters—the dissolution flux is zero (Figures 4c and 5a). On the other hand, if c is smaller than the solubility concentration at the ocean's shallowest spot, cs (here 1 km), then all calcite must dissolve since the entire ocean floor is bathed in undersaturated waters (Figure 5b). It follows for the latter domain that the dissolution flux must be equal to the production flux with a negative sign.
[31] If c is smaller than the calcite saturation at the deepest spot, cd, but larger than the biogenic, pelagic saturation, cb, then the dissolution flux is proportional to the maximum pelagic flux, Fpm, and proportional to the area of the seafloor below the lysocline (Figure 5c). Now the area of the seafloor below the lysocline is proportional to the difference between the depth of the lysocline and the ocean's deepest spot, 6.5 km. Since the lysocline is located at the intercept of the actual concentration, c, and the solubility concentration, and we assumed a linear relationship between depth and solubility concentration (Figure 3), the area of the seafloor below the lysocline is simply proportional to the difference cd − cs. A similar reasoning holds for the domain in which c is smaller than the biogenic saturation, cb, but larger than cs.
3. Steady-State Solutions
[39] Before the steady-solution of the model is discussed in its entirety, we will first address the question whether or not the simple model can reproduce the observed deep ocean carbonate ion concentration of today's ocean.
3.1. Today's Deep Ocean Carbonate Ion Concentration
[41] A range for the global average value of today's deep ocean carbonate ion concentration was obtained as follows. We used the global data set for total dissolved inorganic carbon (ΣCO2) and total alkalinity (TA) from Goyet et al. [2000] at a depth of 3.5 km. From this data, we used a range of values for ΣCO2 and TA representative for the major ocean basins, weighed them by the respective area fraction of the basins, and then calculated a range for the global average CO32− ion concentration, using carbonate chemistry dissociation constants as summarized in Zeebe and Wolf-Gladrow [2001]. The procedure gives a global average value of 71–85 μmol kg−1 (Table 2). Thus the model-calculated value of 78 μmol kg−1 compares well to observations in the real ocean.
Ocean | ΣCO2a (mmol kg−1) | TAa (mmol kg−1) | [CO32−]b (μmol kg−1) | Area (%) |
---|---|---|---|---|
Pacific | 2.28–2.34 | 2.36–2.40 | 62–71 | 51 |
Atlantic | 2.16–2.24 | 2.32–2.36 | 90–111 | 26 |
Indian | 2.26–2.33 | 2.37–2.42 | 77–85 | 23 |
Global | 2.24–2.31 | 2.35–2.39 | 71–85 | 100 |
- a Goyet et al. [2000].
- b All values at T = 2.5°C and S = 35 using dissociation constants as summarized in Zeebe and Wolf-Gladrow [2001].
3.2. Summary: Steady-State Solutions
[42] The entirety of the steady-state solutions for all five model domains as a function of the biogenic flux is shown in Figure 7. Three distinctly different modes of operation can be identified. First, if the biogenic flux—no matter whether neritic or pelagic—is smaller than the riverine flux, then the saturation state of the ocean is close to the critical inorganic supersaturation (e.g., c ≃ 4). The ocean operates in the Strangelove Ocean mode and its fate is a high supersaturation (the mathematical definition for the Strangelove Ocean in the current paper hence is: Fb < Fin). Second, if in the absence of pelagic fluxes, the neritic flux is as large as the riverine flux, the saturation state can vary dramatically and can take on any value between the high supersaturation of the Strangelove Ocean and the low saturation at which aragonite starts to dissolve in the surface ocean. This is the Neritan Ocean. Because there is no dissolution, the constraint for steady-state being that the neritic flux must always be equal to the riverine flux at any saturation which leads to the vertical dot-dashed line in Figure 7 at Fb = Fin = 1. Third, if in the absence of neritic fluxes, the pelagic flux exceeds the riverine flux, then the ocean operates in a mode of a much lower saturation state than the Strangelove Ocean: The Cretan Ocean. In the Cretan Ocean, the low saturation state can be maintained over a large range of pelagic production, the only constraint being that Fb > Fin.
[43] These are remarkable results. If the model outcome is robust and applicable to the real ocean (see below) it tells us that as long as the pelagic, biogenic production of CaCO3 exceeded the riverine flux of Ca2+ and CO32− ions in Earth's history, then the saturation state of the ocean was fairly constant. For example, if the pelagic flux varied between two and ten times the riverine flux (2 × Fin < Fb < 10 × Fin), then c was roughly between 1.2 and 1.9. At today's calcium concentration, this translates into deep sea [CO32−] of about 62 and 100 μmol kg−1. Note that the result in terms of c still holds even if oceanic [Ca2+] has varied on long time scales (2). This explains the overall constancy of the saturation state of the ocean documented over the last 100 Ma (van Andel et al. [1977], Thierstein [1979], but see comment below). It is emphasized that this is mostly a consequence of the interplay of two independent variables: (1) the pelagic, biogenic calcite production at low supersaturation exceeding the riverine flux and (2) the solubility of calcite in seawater—of which the former is controlled by biologic processes, while the latter is controlled by the physicochemical properties of seawater and calcite.
[44] Regarding the saturation state of the Neritan Ocean, the model tells us that as long as the neritic production has balanced the riverine flux in Earth's history (in the absence of pelagic calcifiers), then the saturation state of the ocean was probably highly unstable [Ridgwell et al., 2003]. Any change in the population or ecological success of Neritans and/or in the neritic area (Fn0) directly impacts upon the saturation state. For example, in the Neritan Ocean an increased population or a larger neritic area leads to an immediate drop in the saturation state which in turn reduces the precipitation rate of each individual Neritan until the total production again balances the influx. If the population or neritic area is large, saturation state must be low and vice versa (cf. lower and upper end of vertical dot-dashed line in Figure 7). Mathematically, this is easily seen by considering Fn0 × (c − cn)2 = const. There is no freedom in the biogenic production as compared to the Cretan Ocean where increased deep sea dissolution can compensate for higher production.
[45] To give an example, and to put it less mathematically, say an armada of massively calcifying organisms would suddenly conquer the ocean and their production of CaCO3 would rapidly reduce the CaCO3 saturation state of the ocean. If the organisms are pelagic, then in the Cretan Ocean two stabilizing feedbacks are active. On the one hand, the saturation horizon would rise leading to more dissolution which counteracts the reduction in saturation state. On the other hand, if at some point the saturation state would drop to a value such that the ability of each individual organism to calcify would be impaired, then the CaCO3 production stagnates and the saturation state finally stabilizes. Together, these two feedbacks lead to the very stable saturation state for the Cretan Ocean in Domain 2 (see Figure 7). In the Neritan Ocean, only the second feedback is active. In any case, this feedback prevents the ocean from rapidly running out of ingredients for CaCO3 manufacturing due to overproduction.
[46] In the following, a comment on past CCD variations is added. It was stated above that the saturation state was on the whole constant over the last 100 Ma. In fact, the CCD—which is thought to be a good proxy for saturation state—has varied over this period of time and was approximately 1 km shallower at the end of the Cretaceous. In a different context, this may be considered as significant [Sclater et al., 1979; Delaney and Boyle, 1988]. However, viewed from our current perspective these variations are rather small as a 1 km change of the SH translates into a change of [CO32−] by ∼17 μmol kg−1 (at today's calcium) and of pCO2 by ∼25 μatm (see 23). What we would consider significant is, for example, if the total biogenic flux would have ever fallen close to or below the riverine flux. The consequence would have been a dramatic drop of the CCD below the ocean floor. This has obviously never happened during the last 100 Ma.
3.3. Combining Open Ocean and Shallow-Water Production
[47] So far only the two end-member scenarios of possible modes of biogenic carbonate deposition have been discussed, namely exclusive pelagic or shallow-water production. In reality, however, the ocean has probably operated in a combination mode of the two over a large portion of its recent history. In today's ocean, the majority of the global CaCO3 production is pelagic as estimates of the observed CaCO3 production range from 65 to 85% for the open ocean [Morse and Mackenzie, 1990; Milliman and Droxler, 1996; Milliman et al., 1999]. Therefore pelagic production was also considered the major player in the model and the modern ocean was thought to operate in the Cretan Ocean mode.
[48] On the other hand, when accumulation is considered, shallow-water environments may not be negligible in the modern ocean [Iglesias-Rodriguez et al., 2001]—although a definite statement on this issue has to await more accurate estimates of the marine CaCO3 budget. Another reason to consider shallow-water production and accumulation has to do with the geologic history of calcification, as CaCO3 production in shallow-water environments was probably very important before pelagic calcifiers became increasingly abundant in the late Mesozoic. Biogenic shallow-water carbonate accumulation may provide an important feedback controlling the ocean's saturation state both in Paleozoic-to-middle Mesozoic oceans and after catastrophic events such as the Cretaceous/Tertiary (K/T) boundary impact when pelagic production was reduced [Caldeira and Rampino, 1993].
[49] Figure 8 shows the calculated steady-state concentrations for the coexistence of pelagic and neritic production as a function of the total biogenic flux for different values of f = Fn/(Fn + Fp), the ratio of neritic to total production (cf. 6 and see appendix A for analytical solution). First, starting at the Cretan Ocean and adding neritic production (compare, for example, the curves labeled “Cretan” and “f = 0.1”) lowers the steady-state concentration at a given total biogenic flux. This is because now some portion of the CaCO3 production is buried on the shelf and accordingly a smaller portion is buried in the deep sea in order to balance the riverine flux. This is accomplished by a rise of the saturation horizon and a drop of deep [CO32−]. Thus an increase of the fraction buried on the shelf should lead to a rise of the CCD. This may have been the case 100 million years ago which would explain the shallower CCD reconstructed for this time period [Sclater et al., 1979].
[50] Second, if shelf production is included, our general conclusions regarding the strong saturation-stabilizing feedback which is active in the Cretan Ocean (cf. Figure 7) only holds if the pelagic production is dominant. If shallow-water accumulation becomes a larger portion of the production, the feedback is much weaker. For instance, if the neritic production is more than half of the total (cf. curve for f = 0.5), then dramatic variations of the saturation state (0.6 < c <3) are possible for only small variations of the total biogenic flux (1 < Fb < 2).
[51] If the saturation drops below the calcite saturation at 1 km depth (cs), all pelagic calcite must dissolve and because there is no deep sea accumulation anymore, the influx must be balanced by the neritic accumulation alone. In steady-state, the latter must be exactly equal to the influx and hence the neritic flux for all curves shown in Figure 8 (where f > 0) is constant and equal to 1 for c < cs. It follows that because we assumed a fixed ratio of neritic to pelagic production, also the pelagic production is constant below cs. This leads to the vertical lines for all values of f > 0 between cn and cs.
4. Assumptions and Limitations of the Model
[52] A number of assumptions and approximations went into the model in order to keep it as simple as possible. In this section, the assumptions made above are justified and the limitations of the model are discussed.
4.1. Calcite Lysocline, Ca2+ Concentration, and Water Column Dissolution
[53] The dominant mineral of CaCO3 precipitated in today's open ocean and buried in the deep sea is coccolithophorid and foraminiferal calcite. As a result, the model calculates the calcite lysocline. The carbonate ion concentration in equilibrium with calcite as a function of depth adapted in the model follows Jansen et al. [2002]. Our linear approximation to their exponential curve underestimates the calculated depth of the saturation horizon at maximum by roughly 500 m (Figure 3). The calcium concentration in today's ocean is large and constant throughout the ocean. As a corollary, variations in the concentration of CO32− determines the CaCO3 saturation state of seawater and the model uses the carbonate ion concentration as the state variable.
[54] Recent studies of the CaCO3 cycle indicate large amounts of water column dissolution, particularly in the top 1000 m of the ocean [Milliman et al., 1999; Feely et al., 2002]. Although very important for our understanding of the CaCO3 export and dissolution, upper water column dissolution is irrelevant to the current model. Our CaCO3 production fluxes refer to that portion of CaCO3 which settles down to the depth of the saturation horizon only. CaCO3 redissolved in the upper water column, say in the upper 1000 m, is ignored because this carbonate cannot be buried even if the saturation horizon rises and therefore does not affect the balance between riverine flux and burial. Water column dissolution may well affect the distribution of Ca2+, ΣCO2, and TA in the upper ocean but not their whole ocean inventories.
4.2. Topography
[55] Figure 9 shows the topography used in the model (solid line), and the topography derived from the ETOPO5 bathymetric data base (dashed line, National Oceanic and Atmospheric Administration (NOAA), 1988]). The linear approximation between 1 and 6.5 km appears reasonable for depths greater than 2 km but is quite bad for the shelf areas. Because shallow-water environments and their CaCO3 production is considered separately in the model, the bad shelf topography should not be too problematic.
4.3. Biogenic, Pelagic Saturation
[56] The biogenic saturation below which the biological production of calcite decreases was set to 90 μmol kg−1 in the model. This is based on calcification rates in the most important pelagic calcifyers, coccolithophorids and foraminifera which show a dependence on [CO32−] (Figure 10, cf. Riebesell et al. [2000], Zondervan et al. [2001], Bijma et al. [1999]; Wolf-Gladrow et al. [1999]). The calcification rate in these organisms decreases below a threshold value of approximately 250 μmol kg−1 [CO32−], under culture conditions representative for the surface ocean. This threshold value is a little higher than the typical [CO32−] of today's surface ocean. In order to translate this into a threshold value for the deep ocean, we have to take into account that the surface ocean has a much higher [CO32−] than the deep ocean. The biogenic saturation expressed in terms of the deep ocean [CO32−] was therefore taken as 90 μmol kg−1, a little higher than the typical [CO32−] of today's deep ocean. Although this value is a rough estimate, it is not of major importance for our purpose. It was already stated in 12 that variations in the biogenic saturation have a minor influence on the calculated results. Varying the biogenic saturation between 70 and 110 μmol kg−1, yields a deep ocean [CO32−] between 73 and 82 μmol kg−1.
[57] As noted in 8, the biogenic saturation reflects the response of the calcification rate to changing saturation state of a calcifying species on the organisms level. The ecological success of calcifying groups, i.e., their abundance and thus total production is reflected in Fpm.
4.4. Biogenic, Neritic Production
[58] As said earlier, CaCO3 production in shallow-water environments is assumed to be biologically controlled or mediated. In the following, we justify the mathematical expression used to describe the neritic production in the model (6). In contrast to the pelagic realm, many investigators have shown that precipitation rates in neritic organisms such as individual corals or in experimental coral reefs appear to increase over a wide range of increasing saturation state rather than being constant above a certain level (see summary in Leclercq et al. [2000]). One exception to this is the work by Gattuso et al. [1998] on the coral Stylophora pistillata in which the calcification rate approached a saturation level above Ωarag ≃ 3. It is noted, however, that in this study [Ca2+] was manipulated and not [CO32−].
[60] In summary, we followed Opdyke and Wilkinson [1993] but used a value of 2 for the rate order η instead of 1.7 in order to maintain analytic tractability (for a model approach using η = 1.7, see Caldeira and Rampino [1993]).
[61] The neritic saturation, cn, i.e., the deep ocean concentration that corresponds to the surface aragonite saturation was set to 32 μmol kg−1 or cn = 0.62 (see 4). Assuming another value for cn would shift the lowest possible concentration of the Neritan Ocean (Figure 7) up and down but does in no way change our conclusions. Variation of cn has no effect on the model outcome presented in Figure 8 because the neritic production was set at a fixed ratio to the total production.
4.5. Biological Pump, Organic Carbon Burial, and Rain Ratio
[62] In today's ocean, the biological pump produces vertical gradients in ΣCO2 and TA by extracting organic carbon and CaCO3 from the surface ocean. This process—in combination with ocean circulation—leads to vertical as well as horizontal gradients of [CO32−]. It is important to note, however, that these processes do not lead to a change of the inventory as they merely affect the distribution of [CO32−] but not the budget. On the contrary, if e.g., changes in the burial of organic carbon (Corg) in sediments would occur, the ΣCO2 inventory would change. Is this likely and if yes, is it of significance for the current model?
[63] Considering the long-term carbon cycle, Berner and Caldeira [1997] have pointed out that the fluxes between the combined surficial reservoir (ocean, atmosphere, biota, and soils) and the carbonate rock reservoir must be closely balanced. Otherwise, untenable changes of atmospheric CO2 would occur. If this also holds true for the input and burial of Corg in the ocean, these fluxes can be ignored because they are in steady-state on the time scale of 10 ky considered here. If, however, there are imbalances in the Corg input and burial, their impact on the steady-state deep sea [CO32−] may be estimated as follows. The Corg burial is approximately 1/4 of the CaCO3 burial [Berner, 1991]. Using 12 × 1012 mol C y−1 = 0.144 Gt C y−1 as CaCO3 burial flux [Archer et al., 1998], the Corg burial is 0.036 Gt C y−1 or 360 Gt C per 10 ky. Thus if the Corg burial would cease entirely or double for a period of 10 ky (these are unrealistically large changes), ΣCO2 in the ocean would change by ∼1% and deep [CO32−] by ∼10 μmol kg−1. It therefore appears that changes in organic burial—although they need to be quite large—could affect the deep sea [CO32−] as calculated in our model. However, we will show that this is incorrect because our consideration is yet incomplete.
[64] What would happen is the following. Say the Corg burial suddenly rises, then ΣCO2 drops and [CO32−] increases. This, however, leads to increased burial of CaCO3 because now the riverine CaCO3 flux is not balanced! Owing to the excess burial, oceanic ΣCO2 and TA decrease in a ratio 1:2 until the old [CO32−] is restored and CaCO3 weathering again equals burial. The opposite happens if the Corg burial is initially reduced. Thus calcite compensation restores the old steady-state with respect to CaCO3 despite changes in Corg input or burial (compensation e-folding time is ∼6,000 y, see Appendix B). Only, the new steady-state has a different ΣCO2 and TA than before. Calculating the overall carbonate chemistry changes, including Corg burial change and CaCO3 compensation, shows that the overall ratio of change in ΣCO2 and TA is roughly 1:1. This has a small effect on atmospheric CO2. In summary, the biological pump and organic carbon burial can be ignored in the current model. As a corollary, a global average value of the observed [CO32−] in the deep ocean at steady-sate should be well described by the model without considering organic carbon pump or burial. This was shown in 12.
[65] Another parameter that may be relevant to the model outcome is the rain ratio, the ratio of organic carbon to inorganic carbon (Corg/CaCO3) of the biogenic rain to the sediments. It has been suggested that an increased rain ratio and increased respiration of organic carbon in the sediments, e.g., during glacials, may lead to dissolution of CaCO3 well above the saturation horizon [Archer and Maier-Reimer, 1994]. This calls upon a strong decoupling of the saturation horizon and the lysocline. The deep ocean carbonate ion concentration would then no longer be coupled in a simple way to the weathering and burial of CaCO3. However, the following arguments make a strong case against it: (1) the observed correspondence of today's lysocline depth with the depth of calcite saturation, (2) the similar depth of the CCD during glacial times and today [Catubig et al., 1998; Archer et al., 2000], (3) evidence from modeling results for the glacial ocean [Sigman and Boyle, 2000; Jansen, 2001], and (4) the most recent reconstructions of glacial deep sea [CO32−] [Broecker and Clark, 2001; Anderson and Archer, 2002].
5. Applications of the Model
[66] In the following the model is applied to diverse problems. On the one hand, this demonstrates the importance of the lysocline feedback for Earth's climate because of its coupling to atmospheric CO2. On the other hand, the usefulness of the simple model for investigating problems of this kind is demonstrated.
5.1. Biogenic Calcification and Fossil Fuel Neutralization
[68] As a result of the fossil fuel-carbon uptake, the deep sea carbonate ion concentration is expected to decrease strongly during this process and the saturation horizon will significantly shallow from today's depth of about 4 km to perhaps less than 500 m in the year 3500 [Archer et al., 1998]. Consequently, there will be an imbalance between input and output because the burial will be greatly reduced as it will only occur at very shallow depth. (A potential increase in weathering at higher pCO2 is ignored here as it will not affect our main result, see below). Once the fossil fuel resources have been used up, taken up by the ocean, and have reacted with sediment CaCO3, a new steady-state between weathering and burial will start to be restored by the excess influx which tends to increase [CO32−] and therefore to deepen the saturation horizon. The latter process is a general feedback and is called calcite compensation [Broecker and Peng, 1987] and its timescale has been estimated as 6,000 to 14,000 y [Sundquist, 1990; Archer et al., 1998].
[69] The question to be addressed in the following is: What is the role of the pelagic biogenic calcite production during the recovery of the CaCO3 saturation state from fossil fuel neutralization? It has been demonstrated that coccolithophores and foraminifera show diminished calcite precipitation under conditions of high CO2 and low [CO32−] [Riebesell et al., 2000; Zondervan et al., 2001; Bijma et al., 1999; Wolf-Gladrow et al., 1999]. We will show that this effect will accelerate the restoring of the steady-state because it provides a negative feedback to a reduction of the saturation state of the ocean on this time scale. (Note, however, that on long time scales the saturation state is stabilized and assuming a generally reduced marine calcification during periods of high pCO2 such as the Cretaceous is a misconception, 24).
[70] The effect works as follows (consider Figure 4b): Initially, c will drop and so does the biogenic output flux. Now the subsequent increase of the ocean's inventory of Ca2+ and CO32− is given by the riverine flux minus burial, where the latter is given by the portion of the biogenic production not being dissolved (equation (10)). That part of the biogenic output produced over undersaturated bottom water will completely redissolve and thus has no effect on the flux balance. On the other hand, that part produced over supersaturated bottom water will be buried and this is less at reduced production. The result is that in addition to reduced burial due to the lower saturation state, the burial is even more reduced at diminished biogenic calcification and [CO32−] will increase more rapidly.
[72] The calcite compensation time scale of the simple model after which a perturbation in [CO32−] has dropped to 37% of its initial value (e-folding time) is ∼6,000 y under constant biogenic calcification (see Appendix B). The time scale is in agreement with those obtained from atmosphere-ocean-sediment box models (6,000 to 14,000 y [Sundquist, 1990]) and coupled ocean circulation-carbon cycle models (∼8,000 y [Archer et al., 1998]). This result is not surprising because the time scale is essentially given by the time required to refill the [CO32−] anomaly by the excess weathering flux over burial which depends little on model complexity. The interesting result is that the compensation time scale is about 1,000 y shorter if the biology responds to the initially reduced saturation state by reduced calcite production (Figure 11). This is an important negative feedback that speeds up the restoring of the CaCO3 saturation state of the ocean after a perturbation.
[73] In our consideration we have ignored increases in weathering at elevated pCO2 as it would affect the recovery from fossil fuel neutralization equally in the two cases—with or without a response of the biology. An unknown variable in our calculation is a potential increase in coccolithophorid blooms due to expected higher stratification in the future which would tend to counteract the reduction of calcification on the organism level.
5.2. Glacial Changes in Rain Ratio
[74] One of the most important topics in paleo-climate research is the glacial-interglacial change in atmospheric CO2 (for recent reviews see Sigman and Boyle [2000], Archer et al. [2000]). It is clear that the deep ocean is involved in those cycles because of its huge dissolved CO2 reservoir and its mixing time of ∼1,000 y during which the ocean and atmosphere carbon reservoirs equilibrate. One mechanism that has frequently been called upon to lower atmospheric CO2 during glacials are changes in the so-called rain ratio (see above reviews for references). The rain ratio is the export ratio of organic carbon to calcium carbonate carbon (Corg/CaCO3) from the surface (often taken at ∼100 m) to the deep ocean and estimates of this parameter range from 4:1 to 17:1 [Broecker and Peng, 1982; Sarmiento et al., 2002]. (Note that because most organic carbon is remineralized in the top 1000 m, the rain ratio changes significantly with depth). A glacial increase in this ratio (e.g., through a decrease of CaCO3 export) may have deepened the saturation horizon, increased the deep sea carbonate ion concentration, and lowered atmospheric CO2. The magnitude of this change can be estimated using our simple model. It is noted that the aim of the current section is mainly to present an easily accessible approach to the problem. A more detailed approach can be found in Sigman et al. [1998].
[75] There is compelling evidence that, as in today's ocean, the glacial calcite lysocline depth corresponded to the calcite saturation depth (see 20). If this is accepted, then the deepening of the glacial saturation horizon was probably between 0 and 1 km because this is the estimated range of the deepening of the glacial lysocline from observations [Sigman and Boyle, 2000; Archer et al., 2000]. The model can then be used to calculate the corresponding change in the biogenic flux and deep sea [CO32−]. The result is shown in Figure 12 which is similar to Figure 7 but with different units of c and including the saturation depth and atmospheric pCO2. The decrease in atmospheric pCO2 in equilibrium with the surface ocean at T = 20°C and S = 35 can be estimated from the change of ΣCO2 and TA in a ratio 1:2 given by the prescribed deepening of the saturation horizon and increase of deep sea [CO32−] at T = 2°C and S = 35. This gives a sensitivity of −20 μatm in pCO2 per 17 μmol kg−1 increase in [CO32−] or a 1 km drop of the SH. For comparison, Sigman and Boyle [2000] give a sensitivity of −25 μatm in pCO2 per 1 km drop of the SH. The latter sensitivity is adopted in Figure 12 and shows that if glacial saturation horizon and lysocline were tightly coupled, then atmospheric pCO2 dropped by less than 15 μatm due to this mechanism.
5.3. Biogenic Calcification and Periods of High pCO2 Such as the Cretaceous
[76] After Riebesell et al. [2000] had published evidence for reduced calcification in coccolithophorids at elevated pCO2, confusion has occasionally arisen as to why then we would observe massive coccolith formations during geologic eras such as the Cretaceous during which pCO2 was probably high. This confusion is likely due to a misconception of time scales and the neglect of the mechanism described in detail in 22: Calcite compensation.
[77] The biogenic response and its effect on atmospheric CO2 described in Riebesell et al. [2000] and Zondervan et al. [2001] refers to a time frame of the coming centuries during which the CaCO3 saturation state of the ocean will temporarily drop. However, as soon as millennia are considered, the saturation state will recover due to calcite compensation. If then the geological past over millions of years is considered, there is no reason to assume that the saturation state was low for intervals of this time period exceeding ∼10 ky. Rather, the feedback between biogenic production and calcite dissolution, explicitly discussed and named the Cretan Ocean in 13, will have maintained a fairly constant CaCO3 saturation state, at least throughout the Cretaceous and Cenozoic. In regard to the seawater carbonate chemistry during the Cretaceous this means that even very high pCO2 was likely accompanied by a saturation state similar to today, while ΣCO2, TA, and [Ca2+] in Cretaceous Oceans were probably different from today [Zeebe, 2001; Tyrrell and Zeebe, submitted manuscript, 2003].
6. Conclusions
[78] In this paper, we have introduced a simple model that calculates the CaCO3 saturation state of the ocean. Our hope is that it will contribute to our understanding of the fundamental controls on the interrelations between marine CaCO3 cycling and seawater saturation state and may fuel some useful discussions. We also expect that the model will be of use for researchers unfamiliar with numerical modeling. We showed that the assumptions made to keep the model simple appear—for the current purpose—valid simplifications of reality which is supported by the fact that the model calculates a reasonable modern deep sea [CO32−]. Perhaps the most remarkable conclusion from the model is that a low CaCO3 saturation state can be maintained over a large range of biogenic pelagic production, provided that the pelagic production of CaCO3 exceeds the riverine flux of Ca2+ and CO32−. We have termed this mode of operation the Cretan Ocean and it explains the overall constancy of the saturation state of the ocean documented over the last 100 Ma.
[79] The usefulness of the model was demonstrated by applying it to three problems. Our conclusions are (1) the recovery of the oceanic carbonate chemistry from fossil fuel neutralization in the future will be accelerated by about 1,000 y due to expected reduced biogenic calcification. (2) Effects of an increased glacial rain ratio on atmospheric pCO2 are minor (less than 15 μatm) if observational evidence for changes in lysocline depth are taken into account. (3) Massive biogenic calcification during periods of high pCO2 such as the Cretaceous are unproblematic to reconcile with reduced biogenic calcification observed in laboratory experiments under simulated conditions of high pCO2.
[80] We anticipate that models of the kind presented here will further our understanding of the coupling between atmospheric CO2 and oceanic carbonate chemistry both on geological time scales as well as on time scales regarding Earth's future.
Acknowledgments
[87] We thank I. Zondervan, J. Bijma, and Dieter Wolf-Gladrow for providing data. Discussions with T. Tyrrell, H. J. Spero, A. Russell, A. H. Knoll and particularly K. Schulz were of great value and are gratefully acknowledged. Reviews by A. Ridgwell and K. Caldeira were very helpful and we thank K. Caldeira for pointing out to us the importance of shallow-water production.