Research ArticleGEOLOGY

Molecular fossils from phytoplankton reveal secular Pco2 trend over the Phanerozoic

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Science Advances  28 Nov 2018:
Vol. 4, no. 11, eaat4556
DOI: 10.1126/sciadv.aat4556

Abstract

Past changes in the atmospheric concentration of carbon dioxide (Pco2) have had a major impact on earth system dynamics; yet, reconstructing secular trends of past Pco2 remains a prevalent challenge in paleoclimate studies. The current long-term Pco2 reconstructions rely largely on the compilation of many different proxies, often with discrepancies among proxies, particularly for periods older than 100 million years (Ma). Here, we reconstructed Phanerozoic Pco2 from a single proxy: the stable carbon isotopic fractionation associated with photosynthesis (Ɛp) that increases as Pco2 increases. This concept has been widely applied to alkenones, but here, we expand this concept both spatially and temporally by applying it to all marine phytoplankton via a diagenetic product of chlorophyll, phytane. We obtained data from 306 marine sediments and oils, which showed that Ɛp ranges from 11 to 24‰, agreeing with the observed range of maximum fractionation of Rubisco (i.e., 25 to 28‰). The observed secular Pco2 trend derived from phytane-based Ɛp mirrors the available compilations of Pco2 over the past 420 Ma, except for two periods in which our higher estimates agree with the warm climate during those time periods. Our record currently provides the longest secular trend in Pco2 based on a single marine proxy, covering the past 500 Ma of Earth history.

INTRODUCTION

Carbon dioxide shapes climate, breathes life into the biosphere, and turns the cogs of the carbon cycle both in the present and in the past. The past atmospheric concentrations of carbon dioxide (expressed in partial pressure; Pco2) are reconstructed from indirect measurements (i.e., proxies) such as stomatal densities and indices in plant fossils, the boron isotopic composition of marine carbonate, and the stable carbon isotopic composition (δ13C) of marine phytoplankton, paleosols, and liverworts (1). Each proxy has strengths and limitations, such as its time span of application, associated estimation error, and sensitivity to specific Pco2 levels (2). The reconstruction of secular trends of Pco2 over long time scales [>10 million years (Ma) ago] often relies on compiling many different proxies to generate a continuous record (1). Thus, a single well-constrained proxy that spans the Phanerozoic may strengthen and support our understanding of Pco2.

The stable carbon isotopic fractionation associated with oxygenic photosynthesis (Ɛp) is a proxy that has the potential to span the Phanerozoic. Isotopic fractionation occurs when the CO2-fixing enzyme Rubisco (ribulose 1,5-biphosphate carboxylase oxygenase) favors 12C over 13C during inorganic carbon fixation, making the photosynthates’ isotopic composition (δ13C) depleted in 13C compared to its surrounding environmental CO2 (3). Higher CO2 concentrations lead to greater fractionation and vice versa, resulting in a dynamic δ13C of photoautotrophic biomass (4, 5). This concept is reverse engineered to reconstruct past Pco2 by calculating Ɛp from the δ13C of organic matter (OM) derived from photoautotrophic biomass and the δ13C of CO2 derived from fossilized carbonates (e.g., planktonic foraminifera) (6).

Ɛp has been extensively tested as a Pco2 proxy since it was first estimated using the δ13C of geoporphyrins (7) and later using the δ13C of bulk OM (8). In subsequent studies, factors that influence Ɛp other than CO2 concentrations have been explored in laboratory cultures [e.g., growth rate (9) and cell size (10)] and environmental conditions, such as seasonality, light, and temperature (11). In addition, brought to the forefront in more recent studies, alkenones (and theoretically other phytoplankton) may underestimate Pco2 due to other factors such as cell size and carbon acquisition strategies (1214). The impact of some factors remains difficult to constrain, such as the assumption that the primary source of carbon is passively diffused CO2[aq] into the cell; under low CO2 conditions, many phytoplankton implement active uptake of bicarbonate (15), a potential concern given the substantial δ13C difference between bicarbonate (0‰) and CO2 (−8‰) (16) and even further complicated by active uptake elevating CO2 at the site of carboxylation.

The δ13C of total organic carbon (TOC) to calculate Ɛp, in principle, provides a long-term record for Pco2 (8). Using TOC does raise concerns regarding isotopic heterogeneity in different organisms due to kinetic isotope effects and Rayleigh distillation effects with branching points in biosynthetic pathways, leading to distinct δ13C values for carbohydrates, proteins, and lipids (17). These δ13C differences among biosynthetic products can be further influenced by diagenetic conditions, such as carbohydrate sulfurization (18), and mixing with terrestrial OM. Abating concerns of using TOC, compound-specific isotope analysis is used on shorter time scales, primarily relying on alkenone biomarkers, the long-chain unsaturated methyl and ethyl n-ketones produced by a select group of Haptophytes. However, Ɛp of alkenones only reconstructs Pco2 during the evolutionary history of alkenone-producing Haptophytes, which are not common in the geologic record until the mid-Miocene (19).

To extend the Pco2 reconstruction over the Phanerozoic, we estimated Ɛp here using the general phytoplanktonic molecular fossil phytane. Phytane is derived from chlorophyll-a, the omnipresent photoautotrophic pigment that absorbs and transfers light into chemical energy during oxygenic photosynthesis and that has been present for at least the past 2.15 billion years (Ga) (20). Phytane has been found in similarly ancient rocks and petroleum (21). Furthermore, all photosynthetic phytoplankton will contribute to this general biomarker, thereby averaging the Ɛp of the phytoplankton community at the time of synthesis. The Ɛp calculated from phytane has been previously explored as a proxy for Pco2 at selected sites during specific time periods (2225) and has been shown to mimic Pco2 trends. Here, we explore its potential for reconstructing secular trends of Pco2 over the Phanerozoic.

RESULTS

We generated δ13C values of phytane (δ13Cphytane) from 41 oils and 29 sediments. Furthermore, we compiled δ13Cphytane values from the literature. New and compiled data yielded 308 data points in total (table S1).

Only marine sediments and oils were used for our compilation to constrain the δ13Cphytane to marine phytoplankton in a more stable and homogenous environment, avoiding the potential decoupling of Pco2 that may occur in local carbon cycles of terrestrial and lacustrine settings. By using only marine settings, this also excludes the additional confounding influence of C3 and C4 higher plants; chlorophyll breaks down relatively quickly, eliminating effective transport of terrestrial phytol to the ocean. Immature oils lacking signs of biodegradation were selected on the basis of the confidence in source rock identification to constrain age. Furthermore, these oils were selected on the basis of the lack of terrestrial biomarkers (e.g., oleanane, taraxastane, and bicadinanes) and the lack of local environmental irregularities (e.g., high salinity) to minimize spurious influences on the overall baseline signal for Pco2 (for more details, see Supplementary Text). To attain the general baseline trend for the δ13Cphytane from marine phytoplankton over the Phanerozoic, short-term isotope anomalies were excluded [e.g., carbon isotope excursion events (CIEs) with isotopic spikes of ≥2‰ in less than 100 thousand years (ka)] such as the negative CIE of the Paleocene/Eocene boundary (26). Data before and after CIEs (when the excursion has a clear end point) are included in this compilation.

In our dataset, most δ13Cphytane is from extractable free phytane. Sulfur-bound phytane (i.e., phytane released from sulfur-bound moieties present in sediments that were deposited in anoxic environments) is also included. Sulfur-bound phytane is different than free phytane in that during early diagenesis, inorganic reduced sulfur species selectively react with labile functionalized lipids such as phytol or phytadienes (27). That is, sulfur-bound phytane is an excellent addition to this record: It may more accurately reflect the δ13C of the original phytol, whereas free phytane may have small influences by fluctuating inputs of terrestrial OM or archaeal-derived ether lipids (25, 28).

Our compilation shows that over the Phanerozoic, values for the δ13Cphytane range from −34.7 to −23.2‰ (Fig. 1). During the Late Ordovician (455 to 450 Ma), there is a marked negative shift from −28.3 to −34.2‰, followed by a data-scarce Silurian. A gradual positive trend during the Devonian was observed from −33.9‰ at ca. 380 Ma to −28.7‰ at ca. 355 Ma. The Carboniferous into the Early Permian lacks substantial data from which to describe a trend. There is a large decrease from the Permian through the Triassic, from −26.4‰ at ca. 261 Ma to −33.2‰ at ca. 242 Ma. Then, a smaller increase in the Jurassic δ13Cphytane, fluctuating between ca. −33 and −30‰, is observed through the Cretaceous. A decrease and a rapid increase are observed in the Late Cretaceous, from −33.0 to −26.8‰ between ca. 98 and 93 Ma. The Paleogene shows a similar decrease, followed by an increase from −34.7 to −32.6‰. There is a data gap between 52 and 30 Ma, after which the overall trend continues positive from −33.0 to −25.3‰ at 0.1 Ma, the most positive value in the record of −23.2‰ at 14 Ma.

Fig. 1 δ13Cphytane.

Phanerozoic compilation of the δ13Cphytane from literature (pink) and data from this study (blue), and from sediment (square) and oil (circle). Age uncertainties are shown in the horizontal error bars.

DISCUSSION

Phytane-derived Ɛp

To calculate Ɛp, the δ13C of the photosynthetic biomass (δp) and the δ13C of dissolved CO2d) have to be estimated. δp is derived from the δ13Cphytane, correcting for the isotopic offset between phytol and biomass. The latter factor was estimated by compiling culture studies from 22 phytoplankton species, yielding an average of 3.3 ± 1.3‰ SD (fig. S1 and Supplementary Text). δd is estimated from δ13C of carbonate, correcting for the carbon isotopic fractionation between dissolved CO2 with respect to HCO3 (16). Where available (dataset S1), the δ13C of carbonate is derived from planktonic foraminifera at the same (or nearby) site as the δ13Cphytane. Where unavailable, the average δ13C of carbonate is obtained from the global compiled average of δ13C of marine planktonic foraminiferal carbonate at the time of deposition (8, 29). Uncertainty for marine carbonate was assigned ±0.4‰ with uniform distribution. The correction for the isotopic fractionation between dissolved CO2 with respect to HCO3 requires sea surface temperature (SST). This information was obtained from SST proxies (preferably δ18O from planktonic foraminifera, but otherwise from other proxies such as Uk′37 or TEX86) measured from each site or nearby site (dataset S1) and assigned a ±4°C SD of uncertainty. Where SST data are unavailable, temperature was estimated by adjusting the modern site for its paleolatitude (using www.paleolatitude.org), finding the SST at that location (e.g., seatemperature.org), and then correcting the present-day SST for global temporal SST anomalies [i.e., 0 to 56 Ma (30, 31) and 65 to 455 Ma (32)]. For further details on the calculations and uncertainty in each parameter on calculated Ɛp, see Supplementary Text.

Figure 2 shows that calculated Ɛp ranges from ca. 11 to 24‰. The vertical error bars indicate Monte Carlo simulations of uncertainty to 1 SD (68%), the culmination of the aforementioned uncertainties within each calculation parameter. The calculated Ɛp shows similar trends to the δ13Cphytane in Fig. 1 (side-by-side trends in fig. S2) due to the relatively minor variations in the estimated δ13C of dissolved CO2. In this Phanerozoic record, Ɛp does not surpass 25‰. This observation matches the theoretical assumption (33) and culture-based observations (9, 3436) that maximum fractionation (Ɛf) for phytoplankton is 25 to 28‰. Because our Ɛp is derived from a common phytoplankton biomarker, this 25‰ limit suggests that Ɛf is relatively similar among the major taxa. Furthermore, this limit suggests that Ɛf has not notably changed over the course of the Phanerozoic, despite the fact that Ɛf of Rubisco, when measured in vitro, has found to be substantially lower (e.g., 11‰ in Emiliania huxleyi) (37). Young et al. (38) show the positive selection of the chloroplast gene that encodes large Rubisco subunits appearing in the evolutionary lineage of ecologically important species (e.g., Chromista, Haptophyta, and Bacillariophyta), likely due to environmental stressors (i.e., during periods of marked Pco2 declines). Considering that our observed Ɛp does not surpass 25‰ over the Phanerozoic, these evolutionary changes to Rubisco may not have made noticeably large changes to Ɛf.

Fig. 2 Ɛp calculated from phytane.

Phanerozoic Ɛp calculated from the δ13Cphytane and δ13C of dissolved CO2 estimated from δ13C of foraminifera from literature (pink) and data from this study (blue), and from sediment (square) and oil (circle). Horizontal error bars indicate dating uncertainty in sample age. Vertical error bars indicate 1 SD (68%) uncertainty in Ɛp estimation based on Monte Carlo simulations, culminating the uncertainty in δ13C of the photosynthetic biomass (based on uncertainty in δ13C of phytane ± 0.5‰ uniform distribution and the uncertainty in offset between biomass and phytane of 1.3‰ SD) and the δ13C of dissolved CO2 (based on uncertainty in δ13C of planktonic foraminifera ± 0.4‰ uniform distribution and uncertainty in SST ± 4°C SD).

Estimates of Pco2 based on phytane-derived Ɛp

To estimate the dissolved carbon dioxide (CO2[aq]) from Ɛp, we useEmbedded Image(1)a relationship developed by Hayes (17) and Francois et al. (39) and that is a modification of the relationship developed for higher plants from Farquhar et al. (40). This concept has been successfully tested in laboratory cultures for CO2[aq] ranging over 0.4 to 79 μmol kg−1, covering CO2 concentrations lower than the glacial cycles to CO2 much higher than inferred from the past (10, 36, 41).

The term b accounts for all species-specific factors that may influence isotopic fractionation, in particular cell carbon allocation and bicarbonate uptake, as well as cell geometry and growth rate (9), and influencers of growth rate such as nutrient availability (e.g., b was found to be empirically related to phosphate concentrations) (42). The factor b has almost exclusively been studied in laboratory cultures of Haptophyte algae via alkenones, a relationship then extended into the modern environment (42). In marine surface sediments and suspended matter containing alkenones, b ranges from approximately 70 to 240‰ kg μM−1 with a mean of 165 ± 53 (42). Given that phytane is a general biomarker averaging the entire phytoplankton community, as opposed to the select group of Haptophytes for alkenones, we calculated b from the δ13C of total OM in diverse modern marine surface sediments (Supplementary Text, table S2, and references therein). Over these 19 study sites, the average for b is 168 ± 43‰ kg μM−1, consistent with the alkenone studies and with the b value used in previous phytane-based Pco2 estimations (22, 23). A mean value of 170‰ kg μM−1 with an assigned SD of ±60 is used throughout the record. Sensitivity plots (fig. S3A) show that a 1% change in b results in a 1% change in Pco2 estimation. For details on these calculations and uncertainty estimations, please see Supplementary Text.

Ɛf is the maximum isotopic fractionation associated with photosynthetic carbon fixation, generally ranging from 25 to 28‰ for algae in modern oceans and laboratory experiments (43, 44). Given that phytane is a general phytoplankton biomarker, the exact percentages of each species in the phytoplankton composition contributing to the phytane pool are needed to estimate the value Ɛf, something that cannot be practically achieved for ancient sediments. Thus, we use the average of the laboratory culture Ɛf range (26.5 ± 1.5‰ uniform distribution) for the entire phytane-based reconstruction of Pco2. Sensitivity tests are conducted in Supplementary Text and shown in fig. S3B.

To estimate the atmospheric concentration of carbon dioxide from the CO2[aq], we usedEmbedded Image(2)based on Henry’s law, where the solubility constant K0, expressed in M/atm, isEmbedded Image(3)where A and B are constants, T is temperature in Kelvin, and S‰ is salinity in ‰ (45). The constants used here are A1–3 (−58.0931, 90.5069, and 22.2940) and B1–3 (0.02777, −0.02589, and 0.00506), respectively (45). Temperatures are obtained as described above. Salinity is estimated to be 34‰ and assigned a ±2‰ SD uncertainty. Figure 3 shows the consideration of these factors in the error bars of these Pco2 estimations. The vertical error bars show 1 SD (68%) uncertainty in Pco2 estimation based on Monte Carlo simulations, culminating the uncertainty in b (±60‰ kg μM−1 SD), Ɛf (±1.5‰), and Ɛp (combined uncertainties of δ13C of phytane ± 0.5‰ uniform distribution, the offset between biomass and phytane of ±1.3‰ SD, δ13C of planktonic foraminifera ± 0.4‰ uniform distribution, and SST ± 4°C SD). The impact of uncertainties in these parameters on the final estimated Pco2 is discussed in Supplementary Text and shown in fig. S3C.

Fig. 3 Phanerozoic Pco2 from phytane.

Estimated Phanerozoic Pco2 (on a log scale) from literature (pink) and data from this study (blue), and from sediment (square) and oil (circle). Horizontal error bars indicate uncertainty in age. Vertical error bars indicate 1 SD (68%) uncertainty in Pco2 estimation based on Monte Carlo simulations, culminating the uncertainty in b (±60‰ kg μM−1 SD), Ɛf (±1.5‰ uniform distribution), and Ɛp (combined uncertainty in δ13C of phytane ± 0.5‰ uniform distribution, the offset between biomass and phytane ± 1.3‰ SD, δ13C of planktonic foraminifera ± 0.4‰ uniform distribution, and SST ± 4°C SD). Plotted for comparison, the Foster et al. compilation shows the Monte Carlo resampling and LOESS fit of ca. 1500 data points from the five most robust Pco2 proxies: δ13C of long-chain alkenones, δ11B of marine carbonate, δ13C of paleosols, stomatal densities and indices in plants, and δ13C of liverworts. Sixty-eight percent and 95% confidence intervals are shown in gray and light gray, respectively. The light blue bars represent glacial paleolatitude, as determined by the literature compilation of glaciogenic detritus (46).

The resulting Pco2 values based on δ13Cphytane range from ca. 250 to 1700 μatm (Fig. 3). The estimated Pco2 shows similar trends as δ13Cphytane and Ɛp; side-by-side trends in fig. S2 show the similarity of these three different trend lines over the Phanerozoic. For further context, we included the glaciation paleolatitude as determined by glaciogenic detritus compiled by Cather et al. (46) as an indicator of climate (Fig. 3). Last, Fig. 3 includes context for the phytane record by incorporating the compilation of Foster et al. (1), which averages the five most robust Pco2 proxies in current literature: δ13C of long-chain alkenones, δ11B of marine carbonate, δ13C of paleosols, stomatal densities and indices in plants, and δ13C of liverworts. A comparison between the phytane-based record and the Foster et al. compilation is also shown by time frame (Neogene, Paleogene, Cretaceous, and Phanerozoic) in fig. S4. The phytane-based record here contains ca. 310 estimations, fewer than the ca. 1500 data in the five-proxy Foster et al. compilation, although it does extend more than 50 Ma beyond the current record and has the potential to extend further.

The phytane-based proxy and the Foster et al. compilation show very similar values throughout the entire Phanerozoic. During the Late Ordovician (ca. 460 to 440 Ma), the phytane-based record jumps from ca. 450 to 700 μatm, a more marked shift than seen in the δ13Cphytane and Ɛp trends mostly due to the low estimates for temperatures in the Ordovician (ca. 10°C) relative to the estimates for the Devonian (ca. 23°C). The glaciation paleolatitude for this time interval extends to 60° (46), suggesting a cold climate, which agrees with the relatively low Pco2. From the Devonian into the Early Carboniferous, Pco2 drops from 1400 to 300 μatm, amplified from the trend seen in phytane-based Ɛp but a trend that is similar to the Foster et al. estimations. This significant drop in Pco2 is further supported by the glaciation paleolatitude, where it significantly drops to 60° at the start of the Carboniferous and moves up to 30° by the end of the Carboniferous into the early Permian (46). Then, Pco2 increases from the Late Permian at 450 μatm through the Triassic at 1600 μatm. The Jurassic exhibits a gradual decrease from 1000 μatm during the Toarcian to 600 μatm in the Tithonian. From the Late Jurassic to the mid-Cretaceous, there is a gradual increase to 1300 μatm. The Cenomanian starts at 1500 μatm, the highest Pco2 values for the δ13Cphytane-based Phanerozoic record, which then rapidly drops to 600 μatm from ca. 98 to 85 Ma. The high values during the Cenomanian are much higher than those based on the Foster et al. compilation. This may also be attributed to the important role that temperature has when converting raw δ13C values from biomarkers to Pco2 (see Supplementary Text and fig. S3). However, considering that this period is marked with extremely high SSTs (47), the high phytane-based Pco2 estimations may be appropriate. A second increase and a second drop in the record then occur in the early Paleogene from ca. 56 to 54 Ma, dropping from 1400 to 7500 μatm. Here, our Pco2 estimates are much higher than those of Foster et al. Our high estimates agree with high SST records during this time (48). Last, a decrease in Pco2 from ca. 1000 to 250 μatm is observed from the late Paleogene toward the Holocene (ca. 30 to 0.1 Ma), the lowest estimate for the Phanerozoic. This lowering of CO2 is supported by the glaciation paleolatitude, which extended as far as 40° (46), and in agreement with the overall cooling observed in bottom water temperatures and the descent in the so-called icehouse world (49).

CONCLUSION

Our Phanerozoic Pco2 record based on the δ13Cphytane is, to the best of our knowledge, one of the longest reconstructions based on a single proxy, extending the known Pco2 record. As a spatially and temporally ubiquitous compound, phytane is one of the most abundantly available phytoplanktonic biomarkers suitable for Pco2 reconstructions, more so considering that both sediments and oils can be used. Among marine-based proxies, this phytane record is the longest reconstruction for Pco2. Phytane-based Pco2 reconstruction yields similar estimates as compilations of Pco2 proxies, giving the potential to yield a more robust and consistent Pco2 record from a single biomarker.

MATERIALS AND METHODS

The isotopic composition of phytane was measured in 70 marine sediments and oils derived from marine source rocks. Marine oils were processed at Shell Global Solutions International B.V., The Netherlands. Crude oil was eluted over a AgNO3-impregnated silica gel column using three column volumes of cyclohexane to yield saturated hydrocarbon fractions. To remove n-alkanes, the saturated fractions remained in cyclohexane when two layers of 0.5-Å molecular sieve were added to the samples and saturated overnight. The remaining branched/cyclic fractions were injected splitless on gas chromatography–flame ionization detector (GC-FID) at 35°C for 5 min, ramped to 325°C at 4°C/min for 15 min, and held isothermal for another 15 min. A silica capillary column (Ultra-1, 50 m × 0.22 mm; df, 0.11 μm) was used with helium as a carrier gas at a constant flow of 25 cm/s. GC–isotope ratio mass spectrometry (IRMS) was conducted using a DB-1ms column (60 m × 0.32 mm; df, 0.25 μm). The samples were injected at 220°C into a 70°C oven for 1 min and ramped to 250°C at a rate of 4°C/min and then to 300°C at a rate of 20°C/min for 20 min at a flow rate of 30 cm/s using helium as a carrier gas. The reference gas was normal CO2 with a predetermined isotopic composition.

Twenty-nine marine sediments from Deep Sea Drilling Project Site 467 offshore of southern California from the Middle Miocene to Lower Pliocene (50) were processed at NIOZ Royal Netherlands Institute for Sea Research, The Netherlands. Powdered sediments (15 to 20 g) were extracted with dichloromethane (DCM):MeOH (9:1, v/v) on a Dionex 250 accelerated solvent extractor at 100°C, 7.6 × 106 Pa. Extracts were eluted over Na2SO4 to remove excess water and then over an alumina-packed column to separate polar fractions (DCM:MeOH, 1:1, v/v). Polar fractions were desulfurized using Raney nickel (51), eluted over alumina oxide into an apolar fraction (hexane:DCM, 9:1, v/v), and hydrogenated. Desulfurized apolar fractions were injected on a GC-MS to identify the presence of phytane and on a GC-FID to determine quantity before injection on IRMS for the isotopic composition of phytane. GC-FID, GC-MS, and GC-IRMS all had a starting oven temperature of 70°C and ramped to 130°C at 20°C/min and then to 320°C for 10 min at 4°C/min. GC-IRMS was conducted using a CP-Sil 5 column (25 m × 0.32 mm; df, 0.12 μm) using a constant flow of He carrier gas.

SUPPLEMENTARY MATERIALS

Supplementary material for this article is available at http://advances.sciencemag.org/cgi/content/full/4/11/eaat4556/DC1

Supplementary Materials and Methods

Supplementary Text

Fig. S1. Isotopic offset between biomass and phytol.

Fig. S2. Trends from reported δ13Cphytane data to Pco2.

Fig. S3. Uncertainties associated with equation parameters.

Fig. S4. Pco2 from phytane over the Phanerozoic in time slices.

Table S1. Isotopic offset between biomass and phytol.

Table S2. Estimating b from marine OM in modern-day oceans.

Table S3. Estimating b from phytol across an equatorial Pacific Ocean transect.

Code S1. Python code used for Monte Carlo simulations to calculate uncertainty for Pco2 estimations by considering every parameter involved in the equations.

Data S1. All data used to reconstruct Pco2 from the δ13Cphytane.

References (5296)

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REFERENCES AND NOTES

Acknowledgments: We thank D. Lea and three anonymous reviewers for constructive comments, which substantially improved the manuscript. We also thank A. Tjipke Hoekstra, M. van der Meer, J. Ossebaar, and M. Verweij at the NIOZ and J. Pureveen at Shell Global Solutions International B.V. for technical support. Funding: This study received funding from the Netherlands Earth System Science Center (NESSC) through a gravitation grant (024.002.001) to J.S.S.D. and S.S. from the Dutch Ministry for Education, Culture and Science. This research used samples and/or data provided by the International Ocean Discovery Program (IODP) and its predecessor the Ocean Drilling Program. Author contributions: C.R.W., S.S., and J.S.S.D. designed the study and interpreted the data. C.R.W. compiled data, analyzed sediment and oil samples, and wrote the first draft of the manuscript. J.W.H.W. provided and analyzed oil samples. B.B. wrote the script to calculate uncertainty in Pco2 estimations. Competing interests: The authors declare that they have no competing interests. Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. Additional data related to this paper may be requested from the authors.
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