Together with a strongly
concave-up methane profile (Martens and Berner, 1974), several additional lines
of evidence indicate that sulfate and methane co-consumption occurs at the
sulfate-methane interface: (1) CO2
and alkalinity profiles indicate localized CO2 production there; (2)
13C
CO2
values are extremely depleted in 13C, and are lowest within the
logical depth-zone for AMO; and (3) sulfate gradients are linear throughout the
sulfate-reduction zone.
The magnitude and position
of isotopic values of CO2
provide the most compelling evidence for AMO (e.g., Reeburgh, 1980). The
13C
CO2
values more negative than -30
PDB most likely indicate derivation from methane because the isotopic carbon
composition of marine phytoplankton is generally heavier than -30
(Deines, 1980). In addition,
13C
CO2
values reach their lightest (-37.7
)
at the SMI, where CO2 production is indicated by deviation from
linearity in the
CO2
and alkalinity profiles (Fig. 2).
This local increase in
CO2
is consistent with production of 12C-rich CO2
through sulfate and methane co-consumption, and the diffusion of light CO2
away from the SMI. Near invariant alkalinity and
CO2
concentrations some meters below the SMI are consistent with a net sink for
interstitial CO2 in the uppermost methanogenic zone due to carbonate
mineral authigenesis (Rodriguez et al., 1997, and Chap.
30, this volume).
Assuming steady state conditions, linear sulfate gradients within the sulfate-reduction zone are circumstantial evidence for focused consumption of sulfate at the sulfate-methane interface by AMO. Linear profiles imply sulfate diffusion through the sulfate-reduction zone and consumption at the interface where sulfate and methane co-occur (Borowski et al., 1996).
Microbial consumption of
sulfate to form interstitial dissolved sulfide (HS-dissolved
= S2- + HS- + H2S) preferentially uses light (32S)
sulfur by both sulfate reduction of SOM (Eq. 1) and AMO (Eq. 2). These
fractionations create a dissolved sulfide pool depleted in heavy sulfur (34S;
typically negative
34S
values), and create progressive enrichments of 34S in the residual
sulfate pool (
34S
values more positive than +20
)
(e.g., Chambers and Trudinger, 1979; Goldhaber and Kaplan, 1974). Although the
sulfur isotopic composition of interstitial sulfate indicates microbial
fractionation at all sites (11-8, 994, 995; Fig.
2), either or both sulfate-depleting mechanisms could qualitatively
account for the observed
14CSO4
profiles.
The intensity of anaerobic
methane oxidation operating at the sulfate-methane interface can be gauged by
appraising how much methane carbon resides in the CO2
pool, or by estimating the proportion of sulfate that AMO consumes relative to
total sulfate flux into the sediments. Thus, we assess the importance of AMO at
Site 995 using two independent methods: (1) a simple mixing model that considers
the sources of
CO2
carbon (Eq. 5); and (2) a diagenetic model that utilizes the interstitial
methane concentration profile to estimate methane consumption at the SMI (Eq.
3).
The CO2
mixing model suggests that 24% of the carbon within the
CO2
pool has come from methane, but there are biases that affect this calculation.
The largest potential bias is the diffusion of 12C-rich CO2
away from the sulfate-methane interface as suggested by the
13C
CO2
profiles (Fig. 2). Such
diffusive processes would act to lower the quantity of light carbon within the
CO2
pool and to lower the estimate of methane carbon.
Alternatively, carbonate
mineral formation and the assumption of no carbon fractionation during AMO
result in an overestimation of methane carbon within the CO2 pool.
Fractionation during AMO allows entry of more 12C into the CO2
pool, but from a smaller proportion of methane. Thus, the model calculation
overestimates the quantity of methane carbon in the CO2
pool, however, an isotopic fractionation factor for AMO of 1.002-1.014 (Whiticar
and Faber, 1986; Alperin et al., 1988) changes the calculation by only a few
percent.
Carbonate mineral
formation occurs within the zone of AMO (Rodriguez et al., Chap.
30, this volume), affecting CO2
concentration. Large losses of CO2 only slightly affect the isotopic
mass balance by changing the proportion of CO2 derived from seawater
(Xsw), and therefore altering the mix of CO2 carbon
derived from organic matter (Xom) and methane (Xamo).
Thus, the major effect of an open system on the model calculation lies not in
the change of CO2 concentration, but in its effect on the isotopic
composition of the CO2 pool. Accordingly, because the carbon
fractionation involved in carbonate mineral formation is small (e.g., Emrich et
al., 1970; Anderson and Arthur, 1983), the isotopic balance calculation is
unaffected by this process.
The above factors interact
to slightly vary the results of the mixing model, but the largest
bias--diffusion of 12C-rich CO2—acts to underestimate
the contribution of methane carbon to the CO2 pool. The mixing model
is relatively insensitive to CO2
concentration and the AMO fractionation factor, cumulatively changing the
estimate of the fraction of methane carbon to between 19% and 24%. A
comprehensive interpretation is that at least one-fifth to one-fourth of the
carbon within the CO2 pool is derived from methane through AMO.
The diagenetic model based on methane concentrations does consider diffusive processes and is unaffected by fractionations inherent in microbially mediated reactions because it contains no isotopic inputs. Thus, it is potentially a better tool in assessing the intensity of AMO. Based on methane concentration values, the model predicts that 35% of the total sulfate flux is consumed by AMO, but this may be an underestimate.
The linear sulfate profile of PC 11-8 (Fig. 2C) was reproduced by a finite difference diagenetic model that consumed 95% of the calculated sulfate flux through AMO (Borowski et al., 1996; Borowski, 1998). Increasing contributions of sulfate depleted by oxidation of SOM (Eq. 1), cause increasing curvature in the model results and increasing deviation from the observed sulfate concentration values. A similar predominant proportion of sulfate depletion due to AMO is necessary to approximate the sulfate data at Site 995 (see fit to sulfate data in Fig. 2A). The conundrum is that the model results based on methane data predict a much smaller proportion of sulfate consumed by AMO than do model results based on sulfate concentrations, although each model is internally consistent.
To adjust model results
based on methane data to predict higher amounts of sulfate depletion due to AMO,
in situ methane concentrations would have to be significantly higher than
measured values. Methane loss may occur through outgassing, diffusion, and
consumption by aerobic or anaerobic methane oxidation. However, the coincidence
of modeled peak methane oxidation rates with the most 13C-depleted 13C
CO2
values suggest that the measured methane concentrations faithfully reproduce at
least relative changes in methane concentration.
To adjust sulfate data to reflect lower amounts of sulfate depletion due to AMO, in situ sulfate concentrations must be lower than measured concentrations, or sulfate must be renewed in situ. There are three known mechanisms that could add additional sulfate: (1) oxidation of interstitial dissolved sulfide during sediment and pore-water processing (e.g., Almgren and Hagstrom, 1974); (2) oxidation of sulfide minerals during processing; or (3) in situ anaerobic oxidation of dissolved sulfide by manganese and/or iron oxide minerals (Sorensen and Jorgensen, 1987; Aller and Rude, 1988; Fossing and Jorgensen, 1990; Elsgaard and Jorgensen, 1992; Schulz et al., 1994).
However, sulfide concentration and sulfur isotopic data show no obvious indication that these processes occur in Blake Ridge sediments:
To summarize, we have
confidence in our data, but have not resolved the inconsistencies between the
different model results. Either there is some undiscovered defect in the models
or model assumptions, or there are unrecognized processes that we cannot
adequately account for, nor quantify. Future modeling attempts may resolve the
issue, especially by testing how modified diagenetic models predict the
magnitude and distribution of 13C
CO2
and
13CSH4
values. Even with the inconsistencies between model results using methane versus
sulfate data, a conservative interpretation is that 35% of the total sulfate
flux is consumed by AMO at Site 995.
There is evidence for a still larger role for AMO, relative to the results at Site 995, at other sites of the CR-BR area. Fully 40% (17 of 42) of the nondiapir sites over the Carolina Rise and Blake Ridge have sulfate gradients steeper than those observed at Site 995 (Borowski, 1998). If sulfate consumption through AMO induces linearity in the sulfate profiles, we infer that these sites may have a larger proportion of sulfate depleted via AMO versus sulfate reduction of SOM. For example, Site PC 11-8 (Fig. 2C) shows the largest amount of sulfate depletion recorded at nondiapir sites with a gradient of 2.88 mM m-1 (vs. 1.30 mM m-1 at Site 995), a SMI depth of 10.3 mbsf (vs. 21 msbf at Site 995), and a predicted sulfate flux of 18 × 10-4 mmol cm-2 yr-1, or 2.2 times that of Site 995 (8.2 × 10-4 mmol cm-2 yr-1).
The indication that AMO is such a significant sink for interstitial sulfate in these deep-sea sediments is surprising. Large fractions of sulfate consumed by AMO have been documented elsewhere (Table 4), but only at seep or advective sites (not tabulated; e.g., Suess and Whiticar, 1989; Masuzawa, et al., 1992; Cragg et al., 1995; Paull et al., 1995) in organic-rich coastal marine environments (e.g., Saanich Inlet, see Table 4 for references), or in marine basins that have anoxic water columns such as the Black Sea (Reeburgh et al., 1991) and Cariaco Trench (Reeburgh, 1976). Unlike these anoxic basins, the overlying water of the CR-BR area is oxygenated, implying a different impetus for intensified AMO.
Borowski et al. (1996)
suggested that the magnitude of upward methane flux controls the intensity of
AMO occurring at the sulfate-methane interface, which in turn influences sulfate
concentrations (and perhaps produces linear sulfate gradients). Pore-water data
presented here, especially 13C
CO2
data, firmly establish AMO as an important diagenetic process at Site 995.
Although independent diagenetic modeling results are inconsistent, or do not
fully explain the data, a model using methane concentrations (Site 995) suggests
that 35% of the total sulfate flux is consumed by AMO. Such large proportions of
AMO must affect sulfate concentration gradients. If such an enlarged role for
AMO is indeed fueled by upward methane flux, we infer that similar interstitial
chemistries should also occur at other continental rise, methane-rich, gas
hydrate-associated settings. Thus, steep (and linear) sulfate gradients may be a
geochemical indicator of methane-rich sediments, and may also be an indicator
for the presence of gas hydrates in continental rise sediments, given that
conditions are suitable for gas hydrate formation.