Abstract
Dissolved oxygen (O2) is essential for most ocean ecosystems, fuelling organisms’ respiration and facilitating the cycling of carbon and nutrients. Oxygen measurements have been interpreted to indicate that the ocean’s oxygen-deficient zones (ODZs) are expanding under global warming1,2. However, models provide an unclear picture of future ODZ change in both the near term and the long term3–6. The paleoclimate record can help explore the possible range of ODZ changes in warmer-than-modern periods. Here we use foraminifera-bound nitrogen (N) isotopes to show that water-column denitrification in the eastern tropical North Pacific was greatly reduced during the Middle Miocene Climatic Optimum (MMCO) and the Early Eocene Climatic Optimum (EECO). Because denitrification is restricted to oxygen-poor waters, our results indicate that, in these two Cenozoic periods of sustained warmth, ODZs were contracted, not expanded. ODZ contraction may have arisen from a decrease in upwelling-fuelled biological productivity in the tropical Pacific, which would have reduced oxygen demand in the subsurface. Alternatively, invigoration of deep-water ventilation by the Southern Ocean may have weakened the ocean’s ‘biological carbon pump’, which would have increased deep-ocean oxygen. The mechanism at play would have determined whether the ODZ contractions occurred in step with the warming or took centuries or millennia to develop. Thus, although our results from the Cenozoic do not necessarily apply to the near-term future, they might imply that global warming may eventually cause ODZ contraction.
Subject terms: Biogeochemistry, Palaeoceanography, Palaeoclimate
By using foraminifera-bound nitrogen isotopes, it is shown that, during two warm periods of the Cenozoic, oxygen-deficient zones contracted rather than expanded, suggesting that global warming may not necessarily lead to increased oceanic anoxia.
Main
Observations indicate that oxygen concentrations have been decreasing in coastal and open-ocean waters over the past five decades, substantially expanding the volume of the ocean’s ODZs1,2. The global deoxygenation trend has been attributed to the decreased oxygen solubility and enhanced upper-ocean stratification expected from global warming, with predictions that global oxygen concentration will continue to decrease over the next decades and centuries, affecting marine ecosystems7. However, there is controversy as to the future of the ODZs in particular, with predictions of both expansion and contraction3–6.
Earth’s climate has evolved in response to tectonic and orbital forcing over the Cenozoic era, the past 66 million years (Myr). Overall, atmospheric CO2 concentrations have decreased and global climate has cooled8. Against this background of Cenozoic cooling, there were two distinct periods of prolonged warm climate: the MMCO, about 6 °C warmer than today, and the EECO, about 13 °C warmer than today9. The MMCO and the EECO were characterized by higher CO2 (around 550 ppm and 1,650 ppm, respectively) and reduced or no continental ice10–12. These two climate optima present an opportunity to investigate the response of ocean oxygen concentrations to prolonged warmth13.
The ratio of N isotopes in the ocean is sensitive to oxygen deficiency, or ‘suboxia’ (a dissolved O2 concentration of less than approximately 5 µmol kg−1, based on standard measurements). Bacterial reduction of nitrate to N2 (‘denitrification’) requires suboxia and discriminates against 15N. Consequently, denitrification in the ODZs of the ocean water column causes an elevation in the 15N/14N ratio, or δ15N, of nitrate in the regions of the ODZs14, also increasing the nitrate δ15N of the global ocean15 (δ15N = ((15N/14N)sample/(15N/14N)atmN2 − 1)) × 1,000‰). The isotopic signal of ODZ denitrification is incorporated into newly formed biomass in the surface ocean, the by-products of which accumulate in deep-ocean sediments. Thus, the N isotopes provide a tool for reconstructing past changes in ODZ-hosted denitrification16. Organic matter that is native to and trapped within the mineral matrix of planktic foraminifer shells (foraminifer-bound organic matter) has been developed as an archive of the N isotopic history of surface ocean productivity17. Foraminifer-bound organic matter is isolated from the sedimentary environment by the mineral matrix, preserving the original unaltered N isotopic signal even over millions of years18. In areas of complete nitrate consumption, foraminifer-bound δ15N records the δ15N of the nitrate in the underlying pycnocline19. Pycnocline nitrate δ15N bears regional signals of water-column denitrification and of N2 fixation, the dominant source of biologically available (that is, ‘fixed’) N to the ocean20. Pycnocline nitrate δ15N will also vary with the δ15N of mean ocean nitrate. Mean ocean nitrate δ15N, in turn, is largely controlled by the relative proportions of denitrification occurring in the water column versus the sediments15.
N isotope and temperature reconstructions
In this study, we measure the δ15N of foraminifer-bound organic matter (FB-δ15N) to investigate changes in the marine N cycle over the Cenozoic. We present new species-specific FB-δ15N data since the Miocene, as well as genus-specific measurements across the early Miocene, Oligocene and late Eocene epochs from two sediment cores, one located in the Pacific (ODP Site 872) and the other in the Atlantic (DSDP Site 516) (Fig. 1). These data are compiled with previously published mixed-taxa and genus-specific FB-δ15N data from the Eocene and Palaeocene epochs at Pacific ODP Site 1209 and Atlantic ODP Site 1263, respectively (Fig. 1), with the merged datasets covering much of the Cenozoic (Fig. 2c and Extended Data Fig. 1).
In addition, we have generated a TEX86-based21 sea surface temperature (SST) compilation that includes new measurements as well as previously published data (Fig. 2a and Extended Data Figs. 2 and 3). The compilation shows the thermal evolution of the upper ocean at low/middle and high latitudes. The SST compilation allows us to reconstruct the low-to-high-latitude SST gradient (ΔSSTL-H) using a single temperature proxy (Fig. 2b and Extended Data Figs. 2–4). ΔSSTL-H may be a particularly sensitive indicator of past climate change, and it provides constraints on the circulation of the atmosphere and ocean.
The new data show that Atlantic and Pacific FB-δ15N values were elevated with respect to the present during the early Miocene but decreased sharply in the two basins from 19 to 16 million years ago (Ma), with a greater decline in the Pacific (of around 11‰) than in the Atlantic (about 6‰) (Fig. 2c). FB-δ15N reached a minimum at both sites during the MMCO. FB-δ15N then increased during the subsequent cooling phase (from 14 Ma to 10 Ma), known as the Middle Miocene Climate Transition, again with a greater change in the Pacific than in the Atlantic. Finally, during the late Miocene (from 10 Ma to 5 Ma), the records decouple: the Pacific record shows a strong FB-δ15N increase followed by a decline at 3 Ma, whereas the Atlantic record first shows a small decrease and then remains stable until the present.
The compiled data indicate convergent behaviour for the MMCO and the EECO. Both climate optima were characterized by lower Pacific FB-δ15N and a decrease in the FB-δ15N difference between the Pacific and the Atlantic (Δδ15NP-A; Fig. 2b,c). Moreover, both climate optima were associated with strong warming of the high-latitude ocean that reduced the meridional SST gradient (Fig. 2a,b). Δδ15NP-A and ΔSSTL-H are correlated not only during the warming phases but also more broadly through the Cenozoic (Fig. 2b).
Reduced suboxia during warm periods
The coupled declines in δ15N and Δδ15NP-A during the EECO and MMCO are best explained by reductions in water-column denitrification, which today occurs mostly in the eastern tropical Pacific ODZs (Fig. 1). A decline in water-column denitrification, lacking a comparable decline in benthic denitrification, would have lowered the δ15N of mean ocean nitrate15 and, thus, the δ15N in both records. At the same time, if suboxia and water-column denitrification have persistently been concentrated in the Pacific, a decline in water-column denitrification would reduce the elevation of tropical Pacific nitrate δ15N relative to the rest of the ocean, lowering Δδ15NP-A as observed. Thus, contrary to widely held expectations22, our FB-δ15N data indicate a reduction, not an enhancement, of the ODZs during the warmest intervals of the Cenozoic.
Both FB-δ15N and Δδ15NP-A decline sharply at the onset of the EECO. The effect of the Asian–Indian collision on outflow from the Tethys Sea has been proposed as important to this change, through its effect on the temperature of the ocean’s pycnocline18. A similar mechanism might be offered for the reconstructed denitrification decline at the onset of the MMCO, when the proto-Mediterranean underwent greater isolation from the Indian Ocean23. However, this Tethys-outflow-focused interpretation does not explain the subsequent increases in Pacific water-column denitrification indicated by the increase in Δδ15NP-A after each of these warm periods (Fig. 2b).
Other notable tectonic changes roughly overlap with the end of the MMCO. These include the widening of the Drake Passage at 15 Ma after a 10-Myr period of narrowing24 and constrictions of the Indonesian Seaway starting at 25–17 Ma (ref. 25) and of the Central American Seaway (CAS) starting around 9.2 Ma (ref. 26). In a model experiment, CAS closure has been observed to increase regenerated CO2 storage in the Pacific interior27, presumably enhancing suboxia in the eastern Pacific. This and other effects of the CAS closure may help to explain the increases in Pacific FB-δ15N and Δδ15NP-A as well as the relative stability of South Atlantic FB-δ15N after 9.2 Ma (Fig. 2b,c). However, there is no evidence for constriction of the CAS until after the MMCO had ended26. Moreover, even if CAS closure began earlier, it would not explain the decline in Pacific FB-δ15N and Δδ15NP-A into the MMCO. Finally, CAS closure would not have been relevant for the EECO-associated changes.
It is possible that several seaway and/or basin geometry changes conspired to yield the observed MMCO and EECO minima in δ15NP, δ15NA and Δδ15NP-A. However, the δ15N changes that define the minimum at the MMCO are abrupt relative to tectonic changes, and they coincide with the ΔSSTL-H changes (Fig. 3). Moreover, within the MMCO, there is an abrupt δ15N increase at Site 872, coinciding with the Mi-2 glaciation at 15.9 Ma (Fig. 3c), a cooling event without any known connection to tectonics28. These observations argue that the denitrification declines of the MMCO and the EECO are dominantly a common response to the warm conditions of these otherwise distinct periods.
Global ocean nitrate δ15N is strongly modulated by the ratio of sedimentary to water-column denitrification, with a higher ratio yielding a lower δ15N (ref. 15). With warming, the loss of land ice and other processes might cause a sea level rise12, encouraging sedimentary denitrification29. Such a change might be argued to contribute to the low δ15N of the MMCO and the EECO. However, a sea-level-driven change in sedimentary denitrification would produce similar δ15N declines in the Atlantic and Pacific basins. Therefore, the larger decline from extremely high δ15N at Sites 872 and 1209 cannot be explained solely by enhanced sedimentary denitrification; rather, a reduction in water-column denitrification is required18.
Climate-driven ODZ contraction
Climate models point to several processes that work to shrink the ODZs under global warming, offering potential explanations for our finding of reduced water-column denitrification during the MMCO and EECO. First, a decrease in upwelling-supported biological export production in the equatorial and tropical Pacific would reduce oxygen demand in the subsurface4,5,30. Second, circulation changes in the ocean interior, such as enhanced Southern Ocean deep-water formation, may increase oxygen supply3,6. Our TEX86-based reconstructions of SST and ΔSSTL-H are consistent with either mechanism (Fig. 2a,b). On the one hand, the higher global temperatures and weaker ΔSSTL-H during the MMCO and the EECO should have weakened the tropical atmospheric circulation31, which would have decreased eastern equatorial Pacific upwelling4. On the other hand, enhanced deep-water formation in high-latitude regions such as the Southern Ocean may have transported more heat from low to high latitudes, further weakening ΔSSTL-H (ref. 32).
During the MMCO, a reconstruction of equatorial Pacific hydrography indicates a deepening and flattening of the equatorial Pacific thermocline33, which should have caused a reduction in the supply of nutrients to the surface. These findings are consistent with reduced low-latitude export production and, thus, reduced oxygen demand as the cause of ODZ contraction (Fig. 2b). Moreover, a model study5 suggests that global warming decreases the nutrient content of the pycnocline waters ventilating the tropics, reducing tropical export production and causing the ODZs to contract. However, evidence for changes in tropical export production across the MMCO and the EECO is scarce and ambiguous34. Thus, although a tropical-productivity-related explanation is plausible, it remains unconfirmed.
Open-ocean ODZs occur within the pycnocline, which spans approximately 150–1,200 m depth. Accordingly, the ODZs are undoubtedly sensitive to the biogeochemical conditions and circulation at these ‘intermediate’ depths4,5. However, ODZs are also affected by the underlying deep ocean, which contribute water to them through vertical mixing and upwelling, especially near the equator and on the eastern sides of the ocean basins30. In the global-warming simulations that predict ocean reoxygenation on centennial and longer timescales, this reoxygenation results from more vigorous ventilation of the deep ocean, driven by enhanced deep convection in the Southern Ocean3,6.
The oxygen concentration of the deep ocean (and of the ocean interior as a whole) is tightly linked to the ocean’s ‘biological carbon pump’, the storage of respiratory CO2 in deep waters caused by the sinking and subsequent remineralization of organic matter produced in surface waters. A stronger biological pump is associated with more ocean CO2 storage, lower atmospheric CO2, and lower oxygen concentrations in the deep ocean35. The upper limit of the ocean’s biological pump is set by the global mean nutrient (phosphate or nitrate) concentration of the ocean. However, the modern biological pump is weaker than this limit, largely because of ventilation of the deep ocean by the Southern Ocean36, which tends to fill the ocean interior with unused nutrients, reducing oxygen consumption in the ocean interior due to the ‘missed opportunity’ for nutrient-fuelled biological productivity at the Southern Ocean surface. Therefore, the decline in water-column denitrification during the MMCO and the EECO may have been driven by stronger Southern Ocean ventilation of the deep ocean.
This possibility is consistent with other observations. During the MMCO, high-resolution Southern Ocean foraminifer oxygen isotope data from ODP Site 1171 (refs. 37,38) (with a palaeolatitude of about 55° S) show a lower planktic–benthic difference during the MMCO and an increase after the event, coinciding with the increase in Δδ15NP-A (Fig. 3c). These data suggest a reduction in the density gradient between the deep ocean and the Southern Ocean surface, consistent with an increase in deep overturning and a simultaneous weakening of the global biological pump. The records also suggest an episode of stronger Southern Ocean density stratification (high Δδ18Obenthic-planktic), coinciding with the increase in water-column denitrification (high Δδ15NP-A) during the Mi-2 glaciation at about 15.9 Ma (Fig. 3c). Finally, during the MMCO as well as a pause in the following cooling, the most poleward Southern Ocean sediment cores (ODP Sites 689 and 690) contain hiatuses in sedimentation. These hiatuses have been linked to erosional events triggered by the strengthening of deep-water circulation39, further supporting acceleration of deep-ocean ventilation as a cause of the decline in Pacific suboxia (Fig. 3c,e).
During the EECO as in the MMCO, oxygen isotope gradients between planktic and benthic foraminifers decrease substantially in the high-latitude Southern Ocean40 (Fig. 3d), again consistent with an increase in deep overturning that coincided with ODZ contraction. In addition, a global ocean reconstruction of the vertical carbon isotope gradient indicates a weaker global biological pump during the EECO41. These observations support the possibility that enhanced Southern Ocean overturning contributed to the ODZ contractions of both the MMCO and the EECO. Although our focus has been on Southern Ocean overturning, the North Pacific also shows signs of deep-water formation during warm periods of the Cenozoic42,43, a strengthening in which may have had similar effects on the biological pump and ocean oxygen.
A decrease in the efficiency of the ocean’s biological carbon pump would have worked to increase atmospheric CO2 during the MMCO and the EECO. This feedback, albeit with presumed buffering by the ‘weathering thermostat’ on the million-year timescale44, may have amplified these warm climate events. Palaeobiogeochemical data suggest that the modern Southern Ocean’s ventilation of the deep ocean was reduced during the late Pleistocene ice ages45, providing an explanation for the lower oxygen concentration of the ice age deep ocean compared with interglacials and the warm Pliocene43,46–48. This interpretation of the Pleistocene glacial cycles implies a climate sensitivity for Southern Ocean ventilation of the deep ocean that is consistent with our observations from the EECO and the MMCO, which suggest that warming tends to induce an increase in ocean-interior oxygen concentrations.
Implications for future climate
Our measurements indicate that, in past periods of prolonged warmth, ocean suboxia was reduced, not expanded. The possible mechanisms for this change include both short-term and long-term processes3–6, leaving uncertainty as to whether our findings have implications for the coming decades of global warming or only for the longer term. For example, if a decline in tropical Pacific productivity is the main driver of ODZ contraction in a warmer world, then a contraction of the suboxic zones may arise within the coming decades. By contrast, if deep-ocean ventilation is the dominant cause, then our findings would only become important over hundreds of years at the earliest. Regardless, our results indicate that the reported continuing trend towards enhanced open-ocean suboxia1,2 may be the result of multidecadal variability49 or a transient response to the rapid rate of global warming, and not necessarily a permanent response to a warmer climate.
Methods
Core site location
The new FB-δ15N analyses were carried out on two sediment cores from the poleward and equatorward margins of the oligotrophic subtropical gyres in the Atlantic (DSDP Site 516) and the Pacific (ODP Site 872), respectively. DSDP Site 516 (Holes Z and F) (30° 17′ S, 35° 17′ W) was drilled at 1,313 m water depth by the Deep Sea Drilling Project (DSDP) during Leg 72 in the southwest Atlantic50. The site is located on the Rio Grande Rise. ODP Site 872 (10° 05′ N, 162° 51′ E, 1095 m water depth) was cored from a sea mount around the Marshall Islands in the eastern equatorial Pacific during Ocean Drilling Program (ODP) Leg 144 (ref. 51). The unconsolidated sediment consists of abundant, well-preserved planktic foraminifers. Our new data are compiled with previously published FB-δ15N data from Pacific ODP Site 1209 and Atlantic ODP Site 1263, most of which are mixed taxa18. In addition, mixed-taxa FB-δ15N measurements were made in several samples of late Oligocene and early Miocene age from Pacific ODP Site 1211 (32° 0′ N, 157° 51′ E, 2,907 m water depth), which is in close proximity to Site 1209 (Extended Data Fig. 1). Past locations were calculated on the basis of ref. 52, or—if available—estimates in ODP reports53,54, and are shown in Fig. 1 (map generated using Ocean Data View software55 and data from ref. 55).
The surface waters above all core sites are environments of complete nitrate consumption and, therefore, should record the δ15N of the nitrate supplied from the pycnocline to the surface. Sites 872 and 1209 are located close to the margin of nitrate-bearing surface waters associated with the equatorial Pacific upwelling. This may modify FB-δ15N relative to the δ15N of the subsurface nitrate supply in the region, most probably increasing FB-δ15N (ref. 56). As a consequence, any reduction in equatorial upwelling at times in the past might have modestly decreased FB-δ15N at Site 872.
We also report new glycerol dialkyl glycerol tetraethers (GDGTs) measurements from DSDP Sites 516 and 588 (26° 07′ S, 161° 14′ E, 1,548 m water depth) as well as ODP Sites 667 (4° 34′ N, 21° 55′ W, 3,536 m water depth), 704 (46° 52′ S, 7° 25′ E, 2,543 m water depth), 730 (17° 44′ N, 57° 42′ E, 1,071 m water depth), 754 (30° 56′ S, 93° 34′ E, 1,247 m water depth), 1146 (19° 27′ N, 116° 16′ E, 2,091 m water depth) and 1263 (28° 32′ S, 2° 46′ E, 2,717 m water depth). The new measurements allow us to generate a continuous record of the SST evolution of low-to-middle and high latitudes across the Cenozoic based exclusively on the TEX86 palaeothermometer21.
Age models
For DSDP Site 516, we used a combined age model based on biostratigraphic datums57–59 adapted to GTS12 (ref. 60), magnetostratigraphy by Florindo et al.61 and age tie points based on K–Ar dating62 and an iridium spike for the K–Pg boundary63. For ODP Site 872, we used the age model based on biostratigraphic datums64,65 adapted to the GTS12 timescale60. The age models for ODP Sites 1209 and 1263 based on biostratigraphy are described in Kast et al.18. We revised these age models to the astronomically tuned chronologies recently published by Westerhold et al.8,66. The age model for ODP Site 1211 is based on biostratigraphy67. The age model for DSDP Site 588 is based on compiled biostratigraphy, magnetostratigraphy and isotope stratigraphy (Pagani et al.68 and references therein). Ages for ODP Site 667 were determined by linear interpolation of absolute constraints from biostratigraphic (calcareous nannofossils and foraminifers) datums69. Ages for ODP Site 704 were calculated by interpolating biostratigraphic (calcareous nannofossil and foraminifer) datums and magnetostratigraphic data70, and by aligning the new TEX86 record to the TEX86 records from Sites 1171 and U1318 across the middle Miocene climate transition, which are based on high-resolution benthic δ18O stratigraphy71,72. Ages for ODP Site 730 were determined by linear interpolation of biostratigraphic (calcareous nannofossil and foraminifer) datums73. The age model for ODP Site 754 is based on biostratigraphy (calcareous nannofossils)74. The age model for ODP Site 1146 is based on biostratigraphy (foraminifers) reported by Nathan and Leckie75. Ages for ODP Sites 690/689 are based on refs. 41,76. Ages for ODP Site 1171 are based on ref. 71. All the biostratigraphic datums and palaeomagnetic reversals were calibrated to GTS12 (ref. 60) (Supplementary Data 3 and Extended Data Fig. 5).
Nitrogen isotope analysis
Around 600–800 individual foraminifers from the species Globigerinoides conglobatus, Trilobatus sacculifer, Orbulina universa and Sphaeroidinella dehiscens were picked (250–400-μm size fraction) from the Miocene, Pliocene and Pleistocene sections of DSDP Site 516 and ODP Site 872 (Extended Data Fig. 1). Dentoglobigerina altispira and D. tripartita were picked from the >400-μm size fraction. In the Oligocene and Eocene sections of Site 516, we measured genus-specific N isotopes on the genera Dentoglobigerina, Turborotalia, Acarinina and Subbotina, as well as mixed foraminifers. The FB-δ15N measurements were performed in the Martínez-García lab at the Max Planck Institute for Chemistry (MPIC). We used the persulfate oxidation-denitrifier method for FB-δ15N first described for planktic foraminifers by Ren et al.17, with minor adjustments in the protocol. As a first step, 5–7 mg of foraminifer tests were gently crushed, transferred to a disposable, 15-ml polypropylene, conical-base centrifuge tube and chemically treated to remove external N contamination. 10 ml of Na-polyphosphate solution (pH 8) was added to the sample tubes, which were ultrasonicated for 10 s to remove clays. After rinsing the sample three times with Milli-Q water (by filling and decanting), 7 ml of a dithionite–citric acid solution (100 ml Milli-Q, 6.2 g sodium citrate, 2 g sodium bicarbonate, 5 g sodium dithionite, 400 μl 4N NaOH) was added to each sample77. Sample tubes were then placed in a water bath at 80 °C for 30 min. After cooling, all samples were rinsed three times with Milli-Q water. Next, an oxidative cleaning step was performed to remove external organic matter: a potassium persulfate/sodium hydroxide solution (2 g recrystallized potassium persulfate, 2 g NaOH pellets, 100 ml Milli-Q water) was added and autoclaved at 125 °C for 65 min. After cooling, the samples were rinsed four times with Milli-Q water and dried overnight in an oven at 60 °C. Next, 3–5 mg cleaned shell fragments were weighed and dissolved in 45 μl 4N hydrochloric acid to release organic matter for analysis. After the CaCO3 dissolution step, organic N was oxidized to nitrate by adding 1 ml of a second recipe of basic potassium persulfate solution (0.7 g recrystallized potassium persulfate, 4 ml 6.25N NaOH solution, 96 ml Milli-Q water). Nitrate concentration was measured for each sample by conversion to nitric oxide followed by chemiluminescence detection78. Subsequently, 5 nmol N of nitrate in the sample solution was converted to nitrous oxide using the denitrifier method, and its δ15N was measured by gas chromatography–isotope ratio mass spectrometry79–82. In contrast to previous studies19,29,83,84, samples were not pH adjusted before injection into the denitrifying bacteria; rather, they were injected without adjustment into 2.75 ml media buffered at pH 6.3 and containing the denitrifying bacteria (see ref. 82,85 for details). To quantify the precision and accuracy of the corrected isotope values, for each series of 30 samples, a total of nine different in-house (MPIC) foraminifer and coral laboratory standards were analysed. The following were analysed (each in triplicate): a coral standard from the taxon Porites (PO-1) with δ15N of 6.2 ± 0.3‰, a coral standard from the taxon Lophelia with δ15N of 10.1 ± 0.4‰ (ref. 85) and a mixed foraminifer standard (63–315-μm size fraction) from the North Atlantic (MSM58-17-1) with δ15N of 5.84‰ (uncertainty not yet assessed). After calibration with international nitrate isotopic references IAEA-NO3 and USGS-34 and correction for the oxidation blank, the long-term analytical precision for the foraminifer standard was 0.23‰ (1 standard deviation, n = 22). The oxidation blank per oxidized sample was typically below 0.2 nmol N.
Analysis of GDGTs
5–20 g of freeze-dried sediment per sample was extracted and separated into two fractions at the Martínez-García lab at the MPIC, following the protocol proposed by Auderset et al.86. After accelerated solvent extraction of the freeze-dried sediment samples, we added 60 μl of an internal standard (C46-GDGT, synthesized by Patwardhan and Thompson87) for quantification. The extracts were dried in a centrifugal Rocket Evaporator (Genevac) and filtered with a polytetrafluoroethylene filter (0.2-μm pore size) with a 1.4% mixture of hexane:isopropanol (hex:IPA). GDGTs were analysed using a high-performance liquid chromatographer (Agilent, 1260 Infinity) coupled to a single-quadrupole mass spectrometer detector (Agilent, 6130) following the protocol proposed by Hopmans et al.88, with some small modifications. Normal-phase separation was achieved with one ultra-high-performance liquid chromatographer silica column (BEH HILIC column, 2.1 mm × 150 mm, 1.7 μm; Waters) maintained at 30 °C. The flow rate of the 1.4% hex:IPA mobile phase was 0.2 ml min−1 and kept constant for the first 25 min, followed by a gradient to 3.5% hex:IPA in 25 min and a column-cleaning step with 10% IPA in hexane. We used a single-ion monitoring of the masses m/z = 1,302.3, 1,300.3, 1,298.3, 1,296.3, 1,292.3, 744.0, 1,050.0, 1,036.0, 1,022.0, 1,020.0 and 1,018.0. The injection volume was 5 μl or 20 μl, depending on the concentration of the samples analysed.
Pacific and Atlantic FB-δ15N stacks
Owing to the emergence and extinction of planktic foraminifer taxa over time, it is important to evaluate the relationship of FB-δ15N of extinct foraminifers to that of modern taxa for which the incorporation of the N isotope signal has been studied19,89,90. Our new dataset from DSDP Site 516 demonstrates that the FB-δ15N of T. sacculifer, a modern photosymbiotic, surface-dwelling species, overlaps with the FB-δ15N of the extinct species S. dehiscens, as well as with the FB-δ15N of mixed planktic foraminifers during the early Miocene and late Oligocene (Extended Data Fig. 1). In addition, during the Oligocene and Eocene epochs, the FB-δ15N from the genera Dentoglobigerina, Turborotalia and Acarinina overlap well with those of S. dehiscens and with mixed species, indicating that there are no notable δ15N offsets between modern and extinct species of foraminifera. At ODP Site 872, O. universa and T. sacculifer, two modern photosymbiotic surface dwellers, show very similar values over the past 15 Myr. In addition, our data show that the FB-δ15N of these two modern species overlap with that of co-occurring D. altispira through the Miocene and Pliocene epochs, despite substantial (but consistent) differences in their N content. Dentoglobigerina altispira δ15N values, in turn, are similar to those of D. tripartita in the early Miocene. In this way, we can combine measurements from different foraminifer species/genera to obtain a continuous record of FB-δ15N throughout the Cenozoic (Extended Data Fig. 1). The FB-δ15N Atlantic and Pacific stacks presented in Fig. 2c are averages of the species-specific, genus-specific and mixed-taxa values shown in Extended Data Fig. 1. As discussed below, ODP Site 1209 migrated north-westward into the North Pacific subtropical gyre after 40 Myr (Fig. 1), so the ODP Site 1209 record is truncated at this age.
Core site migration and FB-δ15N
Seafloor migration is a ubiquitous concern in Cenozoic-long palaeoceanographic reconstructions. Site 1209 warrants consideration in this regard, as it migrated from the ODZ-influenced central tropical North Pacific into the western North Pacific subtropical gyre between the early and mid-Cenozoic (Fig. 1). Several observations indicate that the sharp decline in FB-δ15N at the EECO is not due to site migration. First, the FB-δ15N decline into the EECO also occurs in both the North and the South Atlantic, where site migration would not have had such an effect18 (Fig. 1). Second, the FB-δ15N declines are of similar magnitude for the EECO and the MMCO, arguing that the same dynamic is at work for both warm events. Third, FB-δ15N at Site 1209 shows changes that are opposite to the sense expected from site migration: an approximately 6‰ δ15N increase from the late Cretaceous to the Palaeocene and an approximately 3‰ increase at around 40 Ma (ref. 18). However, the sensitivity of Site 1209 to the isotopic signal of denitrification in the eastern tropical Pacific was eventually reduced by its migration, with the change occurring between the middle Eocene and the early Miocene. This is indicated by the similarity of early Miocene FB-δ15N at Site 1211 (a close neighbour of Site 1209) to the FB-δ15N at South Atlantic Site 516, both of which are substantially lower than FB-δ15N at Pacific Site 872 during the early Miocene (Extended Data Fig. 1). This motivates our use of Site 872 from the Oligocene forward.
Latitudinal SST stacks
For the presented latitudinal SST stack, we combined a total of 653 new TEX86-SST measurements for low (ODP Sites 667 and 730) middle (DSDP Sites 516 and 588, ODP Sites 754, 1146 and 1263) and high latitudes (ODP Site 704) and integrated the records with existing TEX86-SST datasets (which include 4,474 data points out of 53 sites and 48 publications) covering the past 69 Ma (refs. 18,72,91–136). The data and references are summarized in Supplementary Data 2 and shown in Extended Data Figs. 2 and 3. We categorized the different datasets based on age-adjusted palaeolatitudes using paleolatitude.org52. The categories as follows: high latitudes (above 50° N/S), low latitudes (0–20° N/S), mid latitudes (20–40° N/S), transition (40–50° N/S) and costal upwelling regions (Extended Data Fig. 3). Unfortunately, low-latitude sites are scarce and do not provide a continuous SST record across the Cenozoic. Middle-latitude records are more abundant and show SST trends and absolute values that are very similar to those from low latitudes in the intervals in which both records overlap. Consequently, we combined the middle/low latitudes SST records to calculate the latitudinal SST gradient. In Fig. 2, we estimate the gradient between high and middle/low latitudes (ΔSSTL-H = SSTmid/low − SSThigh) after applying a local regression (LOESS) with a smoothing factor of 0.02 and a 0.2-Myr sampling step (using Python code available on GitHub: https://github.com/audersea/Auderset_etal_2022_nature). Sediment cores located in transition regions (with palaeolatitude between 40° and 50° N/S), as well as upwelling-sensitive locations (ODP 1085, ODP 1087 and ODP 846), were not considered in these calculations to minimize the effect of local changes in upwelling intensity and frontal migrations.
To estimate SST from TEX86 values, we used the calibrations proposed by Kim et al.137 (TEXH86) and Tierney and Tingley138 (TEX86 Bayspar, with the following parameters: prior_mean = 28; prior_std = 10; tol = 0.15; n_samp = 2,500). Overall, the trends obtained when calculating the latitudinal temperature gradient are the same for both calibrations, but there are slightly larger amplitudes of change in the Bayspar-derived gradient (Extended Data Fig. 4b). In addition, we have also estimated the latitudinal gradient using the raw TEX86 values for our compilation and compared it to our δ15N gradient (Extended Data Fig. 4c). The good correlation between the raw TEX86 gradient and the δ15N gradient indicate that this is a robust feature that is independent of the calibration used. Finally, we compare our reconstructed latitudinal SST gradient with the one proposed by Cramwinckel et al.99 for the time interval between 58 and 30 Ma, based on the combination of benthic oxygen isotopes records for high latitudes and TEX86 reconstructions for low latitudes (Extended Data Fig. 4c). Both reconstructions agree well; however, the approach followed by Cramwinckel et al.99 is only suitable for periods in which there were no substantial contributions of continental ice to the benthic δ18O signal, limiting its application after the Eocene–Oligocene boundary.
Several indices have been proposed to evaluate potential changes in the source of isoprenoid GDGTs over time110,139–141. We report the values for these indices in Supplementary Data 2. As suggested by previous studies, we exclude GDGTs data with a high methane index (above 0.4) and high GDGTRS (above 30) from our calculation of the latitudinal temperature gradient (355 samples) (Extended Data Fig. 3a). The branched and isoprenoid tetraether (BIT) index has been proposed to estimate the relative contribution of soil-derived GDGTs to aquatic sedimentary environments characterized by large inputs from nearby soils (that is, costal marine sediments and lake sediments)142. In these environments, BIT values below 0.4 have been suggested to indicate minor inputs of terrestrial GDGTs and, therefore, a negligible influence of terrestrial GDGTs on the estimated upper-ocean temperature139. Samples with BIT values above 0.4 are typically not used for palaeotemperature calculation owing to the potential bias that soil GDGTs inputs may introduce on the estimated SST. However, the applicability of this index to estimate terrestrial inputs of GDGTs in open-ocean settings has been questioned because (1) branched GDGTs can be produced in situ143–147 and (2) degradation rates of crenarchaeol are two times higher than those of branched GDGTs148. Thus, in some environments, the BIT index can be high (above 0.4), despite the relatively low terrestrial inputs of brGDGTs. In these cases, samples with BIT > 0.4 have been used for palaeotemperature reconstructions71,117,129. In recent years, it has been shown that in situ-produced brGDGTs tend to be characterized by higher abundances of cyclic brGDGTs, resulting in high values for the #ringstetra index, and it has been suggested that #ringstetra values >0.7 are indicative of predominant in situ production of branched GDGTs149. Some of the new samples reported here, as well as some of the samples published in previous studies that are included in our compilation, have BIT values >0.4. However, some of the samples with BIT values >0.4 also have values for #ringstetra index >0.7, indicating that the brGDGTs were produced in situ, rather than transported from terrestrial soils. In the calculation of the latitudinal SST gradient, we exclude samples with BIT > 0.4 if the #ringstetra was <0.7 (178 samples) to avoid potential influences of terrestrial GDGTs on the estimated SST (see Extended Data Fig. 3a, Supplementary Data 2 and code at https://github.com/audersea/paper_2022_nature). However, we note that there are no substantial differences in the SST gradient if all the samples with BIT > 0.4 are included in the calculation (Supplementary Data 2), suggesting that the potential influence of terrestrial GDGTs on the estimated SST is probably minimal despite the high BIT values.
Online content
Any methods, additional references, Nature Research reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41586-022-05017-0.
Supplementary information
Acknowledgements
This work was financed by the Max Planck Society (MPG), SNSF mobility grant P2EZP2_200000 and the Tuttle Fund of the Department of Geosciences, Princeton University. Sediment samples for this study were provided by the International Ocean Discovery Program. We acknowledge M. Schmitt, F. Rubach, B. Hinnenberg and S. Neugebauer for laboratory assistance. We also thank N. Shah for programming support. We thank C. Deutsch for discussions.
Extended data figures and tables
Author contributions
A.A. and A.M.-G. designed the study. A.A. measured foraminifer-bound nitrogen isotopes and organic biomarkers in the lab of A.M.-G. A.A., D.M.S. and A.M.-G. wrote the manuscript. B.T. and P.-R.E. contributed to sample preparation and foraminifer ecology, supervised by R.S. All authors contributed to the interpretation of the data and provided input to the final manuscript at different stages of the project.
Peer review
Peer review information
Nature thanks Babette Hoogakker, Bernhard Naafs, Rebecca Robinson and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Funding
Open access funding provided by Max Planck Society.
Data availability
The datasets are available in Supplementary Data 1–3 and the PANGAEA database (10.1594/PANGAEA.943130).
Code availability
The code used for filtering, smoothing and gradient calculations for the SST and δ15N datasets is available on GitHub (https://github.com/audersea/Auderset_etal_2022_nature).
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Alexandra Auderset, Email: a.auderset@mpic.de.
Alfredo Martínez-García, Email: a.martinez-garcia@mpic.de.
Extended data
is available for this paper at 10.1038/s41586-022-05017-0.
Supplementary information
The online version contains supplementary material available at 10.1038/s41586-022-05017-0.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets are available in Supplementary Data 1–3 and the PANGAEA database (10.1594/PANGAEA.943130).
The code used for filtering, smoothing and gradient calculations for the SST and δ15N datasets is available on GitHub (https://github.com/audersea/Auderset_etal_2022_nature).