Parallel between the isotopic composition of coccolith calcite and carbon levels across Termination II: developing a new paleo-CO2 probe
- 1Institut des Sciences de la Terre de Paris (UMR 7193 ISTeP), CNRS, Sorbonne Université, 75005 Paris, France
- 2Laboratoire des Sciences de l'Environnement et du Climat (UMR 8212 LSCE), CEA, CNRS, Université Versailles Saint Quentin, 91191, Gif sur Yvette, France
- 3Laboratoire d'Océanologie et de Géosciences (UMR 8187 LOG), Université du Littoral Côte d'Opale, CNRS, Université de Lille, 62930 Wimereux, France
Correspondence: Camille Godbillot (firstname.lastname@example.org)
Beyond the pCO2 records provided by ice core measurements, the quantification of atmospheric CO2 concentrations and changes thereof relies on proxy data, the development of which represents a foremost challenge in paleoceanography. In the paleoceanographic toolbox, the coccolithophores occupy a notable place, as the magnitude of the carbon isotopic fractionation between ambient CO2 and a type of organic compounds that these photosynthetic microalgae synthesize (the alkenones) represents a relatively robust proxy to reconstruct past atmospheric CO2 concentrations during the Cenozoic. The isotopic composition of coeval calcite biominerals found in the sediments and also produced by the coccolithophores (the coccoliths) have been found to record an ambient CO2 signal through culture and sediment analyses. These studies have, however, not yet formalized a transfer function that quantitatively ties the isotopic composition of coccolith calcite to the concentrations of aqueous CO2 and, ultimately, to atmospheric CO2 levels. Here, we make use of a microseparation protocol to compare the isotopic response of two size-restricted coccolith assemblages from the North Atlantic to changes in surface ocean CO2 during Termination II (ca. 130–140 ka). Performing paired measurements of the isotopic composition (δ13C and δ18O) of relatively large and small coccoliths provides an isotopic offset that can be designated as a “differential vital effect”. We find that the evolution of this offset follows that of aqueous CO2 concentrations computed from the ice core CO2 curve and an independent temperature signal. We interpret this biogeochemical feature to be the result of converging carbon fixation strategies between large and small cells as the degree of carbon limitation for cellular growth decreases across the deglaciation. We are therefore able to outline a first-order trend between the coccolith differential vital effects and aqueous CO2 in the range of Quaternary CO2 concentrations. Although this study would benefit from further constraints on the other controls at play on coccolith geochemistry (growth rate, air–sea gas exchange, etc.), this test of the drivers of coccolith Δδ13C and Δδ18O in natural conditions is a new step in the development of a coccolith paleo-CO2 probe.
Reconstructing the changes in atmospheric pCO2 levels over geological timescales has been one of the major challenges in paleoenvironmental research for the last 40 years (Neftel et al., 1982; Broecker, 1982; Pagani, 2013). In particular, due to its effects as a greenhouse gas, atmospheric pCO2 is believed to have exerted a first-order control on the temperature changes at the Earth's surface that occurred over the Phanerozoic (Berner, 1990). On shorter timescales, analyses of the concentrations of CO2 of air bubbles trapped in Quaternary ice cores, which have provided relatively direct pCO2 estimates, have exemplified the synchronicity of pCO2 and glacial–interglacial changes (Petit et al., 1999). Beyond 800 kyr, however, estimates of atmospheric pCO2 rely on more indirect proxies, mainly derived from the marine sedimentary record (Broecker, 2018). The alkenone εp proxy uses the magnitude of the carbon isotopic fractionation between algal lipids produced by certain haptophytes and ambient CO2 to derive CO2 concentrations (see review by Pagani, 2014). Other proxies alternatively derive the levels of aqueous CO2 from a set of parameters of ocean carbonate chemistry. This is the case of the foraminifera boron isotope proxy, which aims at reconstructing values for surface ocean pH (Sanyal et al., 1995; Foster, 2008) and can further be used to derive surface ocean CO2 (Shao et al., 2019). The 45 Myr record of atmospheric pCO2 (Zhang et al., 2013) and its 66 Myr update (Rae et al., 2021) are a flagship outcome of the εp and boron proxies in the published literature. They have yielded invaluable insights into the radiative forcing caused by a decline in pCO2, and its role in the global Cenozoic cooling.
The coccolithophores, the same primary producers that synthesize the alkenones, also operate the intracellular biomineralization of calcite material, the coccoliths (Volkman et al., 1980). The geochemistry of these calcareous nannofossils, albeit ubiquitous in marine sediments since the Jurassic (de Vargas et al., 2007), has been overall set aside in paleoclimate reconstructions. This is due, in part, to the large biologically induced offset between coccolith δ13C and δ18O compositions and that of inorganic calcite (or “vital effect”), which hinders their use as traditional δ18O paleothermometers (Dudley et al., 1986). Recent evidence has, however, shed light on the potential for the coccoliths to record past CO2 concentrations. Numerical methods, with quantitative constraints stemming from culture data, have provided a valuable understanding on the factors dictating the magnitude of the vital effect (Rickaby et al., 2010; Bolton and Stoll, 2013; Hermoso et al., 2016a, b; McClelland et al., 2017). Collectively, these studies have shown that differences in the metabolic rates of the coccolithophores, in particular photosynthesis and calcification, can be put forward to explain the range of vital effects measured in coccolith calcite, in particular between different coccolithophore species. In turn, the rates of photosynthesis and calcification, which therefore dictate the coccolith vital effect, are dependent on the availability of CO2 in the environment, on cell size and growth rate, on the ratio of the production of calcite relative to organic matter, and on the possible expression of CO2 concentrating mechanisms (CCMs). As a notable corollary, the magnitude of coccolith vital effects decreases under conditions of increasing medium CO2 (Hermoso et al., 2016b). Beyond the culture flasks of the laboratory, this result is also observed in datasets from the geological record: a global decrease in surface ocean CO2 is believed to explain for instance why the magnitude of the vital effects of coccoliths extracted from marine sediments has increased since the late Miocene (Bolton and Stoll, 2013; Hermoso et al., 2020b). On shorter geological timescales, variations in vital effects have been observed throughout glacial–interglacial cycles (Jin et al., 2018) and tentatively linked to changes in surface ocean CO2 (Hermoso, 2016). Using the inverse approach, attempts at deriving Eocene–Oligocene CO2 concentrations from the vital effects of fossil coccoliths using transfer functions from culture data were successful in reproducing the pCO2 curves obtained using the alkenone and boron paleobarometers (Tremblin et al., 2016).
Overall, data from the sedimentary record concord with results of culture experiments and numerical modeling as to the role of CO2 in the isotopic composition of coccolith calcite for both the carbon and oxygen isotope systems. Discrepancies exist, however, between culture results, where CO2 concentrations can be controlled, and sedimentary data. A core-top study, for instance, revealed that the oxygen vital effects of Noelaerhabdaceae coccoliths from sediment samples differed from close-living relatives in culture experiments (Hermoso et al., 2015). A number of methodological caveats indeed hinder the comparison of culture and sedimentary data. This includes the fact that results are obtained exclusively on monoclonal populations grown in light and nutrient-replete environments, the short duration of culture experiments, which leaves little time for cells to adapt (Lohbeck et al., 2012), and the very few datasets available for vital-effect sensitivity to changing CO2 concentrations in low-CO2 environments (<10 µmol kg−1).
Despite recent efforts in culture and sedimentary studies, a transfer function for the emerging coccolith vital-effect–CO2 proxy is lacking. Here, we study the isotopic response of a natural assemblage of coccoliths to changes in surface ocean CO2 during the Late Pleistocene. We isolate coccoliths of different size fractions from carbonate oozes of the midlatitude North Atlantic core MD95-2037. We measure their specific isotopic composition, and study their departures from an inorganic reference – this offset being termed “absolute vital effect” hereinafter. We further explore the link between the expression and magnitude of the vital effects and the hypothesized forcing of CO2, which we derive from the atmospheric pCO2 curves available for the interval (Bereiter et al., 2015). Specifically, we focus on Termination II (130–140 ka), during which global atmospheric pCO2 levels increased by 80 ppm (equivalent to a 1.7 µmol kg−1 increase in CO2 aq). We pay specific attention to the control of environmental forcing of the isotopic composition of coccolith micro-assemblages differing in taxonomy and size, thus exploring a “differential vital effect”. In this study, we aim to push forward the use of this differential vital effect, i.e., the isotopic offset between coccoliths of different sizes, as a CO2 probe throughout the Cenozoic era.
2.1 Measurements of coccolith isotopic compositions
2.1.1 Ocean study site and age model
Sediment samples are from the North Atlantic core MD95-2037 (37∘05′ N, 32∘02′ W; 2630 m depth) that was retrieved during the IMAGES expedition in 1995 (Bassinot and Labeyrie, 1996). The core is located north of the Azores Current (AC), a branch of the North Atlantic Current (NAC) (Fig. 1). It also lies north of the Azores Front (AzF), which separates the stratified and low-productivity surface waters of the subtropical gyre in the south from the higher primary productivity region in the north where the winter mixed layer is deeper (Lévy et al., 2005). The surface water mass is currently located in a region in relative equilibrium with respect to atmospheric CO2 and aqueous CO2 exchanges (Fig. 1). Previous studies at the site have established δ18O and δ13C curves for the benthic foraminifera species Cibidoides wuellerstorfi and the planktonic species Globigerina bulloides (Villanueva et al., 2001). Together with productivity records from alkenone abundances (Villanueva et al., 2001) and UK37'-derived sea surface temperature (SST) records (Calvo et al., 2001), these studies have highlighted the large environmental changes that occurred in the surface ocean across Termination II in this region. This includes a 7 ∘C increase in sea surface temperatures between the glacial maximum and full interglacial conditions and the southward migration of the Arctic front, which, during glacial intervals, may have progressed as far south as 50∘ N, with implications for the stratification of the water column and the renewal of nutrients to the surface ocean (Pflaumann et al., 2003; Naafs et al., 2010; Zhang et al., 2017).
We established a new age model for site MD95-2037 over Termination II (Fig. S1), using the more recent reference records (such as the benthic δ18O composite stacks, Lisiecki and Raymo, 2005; Lisiecki and Stern, 2016) developed since the last model for the site over Termination II was published (Villanueva et al., 2001). The benthic δ18O signal from Cibidoides wuellerstorfi was first aligned to the regional benthic stack for the deep North Atlantic by Lisiecki and Stern (2016) using the Analyseries software (Paillard et al., 1996). The age model was then refined by aligning the Globigerina bulloides δ18O signal for site MD95-2037 to the stacked Corchia Cave δ18O record (Tzedakis et al., 2018), as both records are expected to reflect the changes in surface temperature and ice volume that occurred across this latitudinal band (Drysdale et al., 2005). As done by Govin et al. (2015), we evaluated the accuracy of the age model by calculating the quadratic sum of the individual uncertainties deriving from (i) matching errors on Analyseries, (ii) the resolution of the aligned record and (iii) the dating error of the reference speleothem δ18O ages. The resulting age uncertainties at our site are approximately 3 kyr at the beginning of the interval of study during the Glacial (ca. 140 ka) and at the end of the interval comprising the Last Glacial Inception (ca. 118 ka; Calov et al., 2005). They are more modest (approx. 0.8 kyr) during Heinrich Event 11 (H11) and the Last Interglacial (LIG).
2.1.2 Purifying coccolith fractions from core sediment samples
Sediments from the studied sections of core MD95-2037 consist of calcareous nannofossil oozes with a carbonate content ranging from 73 % to 89 %. Purified coccolith fractions were obtained for the interval of study (∼ 100–145 ka) at a sampling resolution of ∼ 20 cm at the beginning and end of the interval and ∼ 10 cm across Heinrich Event 11 and Termination II. We applied the separation protocol described in Minoletti et al. (2009) based on a cascade of microfiltering steps eased by gentle ultrasonic treatment. About 2 g of core sediments were suspended in neutralized deionized water and sieved through a 20 µm nylon mesh to isolate the coarse fraction, while the <20 µm filtrate (fine fraction) was sequentially filtered through polycarbonate membranes of 12, 8, 5, 3 and 2 µm nominal apertures. Smear slides were prepared from the retentates of each membrane. This was done to check the granulometry and the purity of the fractions using a Zeiss Axio Imager M1 optical microscope fitted with a circular polarizer at Sorbonne Université, Paris. From the observations made on the microscope, we selected the 5–8 µm fraction where Calcidiscus spp. coccoliths made up 60 % to 70 % of the total content and the 2–3 µm size class where Gephyrocapsa spp. coccoliths made up 60 % to 85 % of the content. These fractions were further run for isotopic analysis. Additional fine-scale observations were made using scanning electron microscopy (Zeiss Supra 55VP at Sorbonne Université) on both size fractions to check for the preservation state of the coccoliths (Fig. S2 in the Supplement). For all samples, we found preservation to be good, with sparse etching and no significant overgrowth of calcite.
2.1.3 Isotopic analyses
Between 50–80 µg of microseparated sample residues were collected for each level for both size fractions studied and introduced inside a Kiel IV carbonate device. The carbonate fraction was digested in ortho-phosphoric acid at 70 ∘C; the resulting CO2 gas was purified and run in a Delta V Advantage IRMS by Thermo Scientific for δ13C and δ18O analysis at Sorbonne Université. Values were calibrated relative to the Vienna Pee Dee Belemnite (‰ VPDB) via the NBS-19 international standard. Standard errors (1σ), which are calculated by running a minimum of six samples of NBS-19 per series of analyses, are ±0.05 ‰ for δ13C and ±0.1 ‰ for δ18O values.
2.2 Quantification of the coccolith vital effects
Coccolithophores produce their coccoliths out of isotopic equilibrium relative to the environment in which they live (Dudley et al., 1986). As our working hypothesis is that the magnitude of the vital effect in fossil coccolith calcite conveys a pCO2 signal, it is necessary to quantify this biologically induced isotopic phenomenon in the fossil record and to study how its magnitude evolved with a changing (CO2) environment.
2.2.1 Absolute vital effects
Absolute vital effects are defined as the departure between the isotopic composition of the coccoliths and a theoretical inorganic calcite grown in the same conditions of temperature and isotopic composition of the medium. Previous studies have used the foraminiferal record to derive pseudo-inorganic values for the δ13C and δ18O compositions of calcite (Hermoso, 2016; Jin et al., 2018; Stoll et al., 2019; Hermoso et al., 2020b), as it is possible to handpick individuals and apply species-specific transfer functions between foraminifera test calcite and inorganic calcite (Pearson, 2012). It must be stressed that such a biogeochemical framework heavily relies on the fact that coeval coccolithophores and planktonic foraminifera have a similar ecology (and thus record the properties of the same water mass) and that foraminiferal calcite has a known and constant vital effect during the investigated time slice. Due to their relatively small vital effects and both spatially limited and shallow living environments (Rebotim et al., 2017), foraminifera species such as Globigerinoides ruber and Orbulina can be regarded as adequate substrates to derive the inorganic reference. In this study, in the absence of these specific foraminifera species in the sediments, we attempt to derive the carbon isotopic composition of inorganic calcite δ13Cinorg (in ‰ VPDB) from the composition of Globigerina bulloides planktonic foraminiferal calcite (Villanueva et al., 2001) using the equation in Bemis et al. (2000):
where T is the temperature in degrees Celsius and δ13Cbulloides is expressed in per mill VPDB. Note here that the temperature effect on the G. bulloides vital effect is negligible (0.71 ‰) over the range of temperature change (7 ∘C) at site MD95-2037 across Termination II when compared to the δ13C fluctuations observed for the coccolith fractions (see Results section). The offset between G. bulloides and inorganic calcite δ13C, which is at least 3 ‰, is among the largest measured for foraminifera species, a feature that studies attribute to higher metabolic rates (Kahn and Williams, 1981; Bemis et al., 2000).
On the other hand, the oxygen isotope vital effect for G. bulloides is more restricted and is not dependent on temperature, with a reported value relative to inorganic calcite (sensu Kim and O'Neil, 1997) equal to −0.52 ‰ (Bemis et al., 1998). We therefore calculated the inorganic reference δ18Oinorg as follows:
with δ18Oinorg and δ18Obulloides both expressed in per mill VPDB.
From the above, we can tentatively calculate the absolute vital effects of coccoliths:
with δ13Ccoccolith and δ18Ococcolith the isotopic compositions of either the Gephyrocapsa-rich 2–3 µm or the Calcidiscus-rich 5–8 µm fractions (in ‰ VPDB).
2.2.2 Differential vital effects
Coccolithophore cell size exerts a major control on the expression and magnitude of vital effects in coccolithophore organic compounds (alkenones) and calcite biominerals (coccoliths) (Popp et al., 1998; Hermoso, 2014). Studies of fossil coccoliths, together with results from numerical and culture experiments (Bolton and Stoll, 2013; Hermoso et al., 2016a, 2020b; McClelland et al., 2017), have shown that the degree of the utilization of carbon from the internal pool tends to become more uniform between large and small cells when carbon limitation decreases in the environment, as does their composition in δ13C and δ18O. Under replete ambient CO2 concentrations, the demand in carbon for the metabolism is satisfied by the supply also for the largest species, despite their smaller surface-to-volume ratio. Thus, between carbon limited- and carbon-replete conditions, the magnitude of the vital effect of a coccolith is a function of the concentration of CO2 and of its size.
We quantify these differential vital effects (using the Δsmall−large notation) as the isotopic offsets between coccoliths differing in size, a measure directly linked to the size of the cell that produced them (Henderiks, 2008). Here, they are calculated as the difference in δ13C and δ18O compositions between the Gephyrocapsa-rich 2–3 µm and the Calcidiscus-rich 5–8 µm fractions.
with all fraction δ13C and δ18O expressed in per mill VPDB.
A foremost advantage of using an isotopic offset between two “coccolith” signals is that it is not influenced by the possible biases introduced by the calculation of the isotopic composition of inorganic calcite (including temperature and the possible vital effects affecting foraminifera δ18O and δ13C). Therefore, only the measurement of the isotopic composition of two coccolith fractions of distinct sizes is needed.
2.3 Input CO2 values used for our calibration of the coccolith vital effects
The surface ocean is in constant chemical exchange with the atmosphere with respect to CO2. When the air and the ocean are at an equilibrium, aqueous CO2 concentrations can be computed directly from atmospheric pCO2 via Henry's Law, provided that sea surface temperatures (SSTs) and salinity are known (Zeebe and Wolf-Gladrow, 2001). We used the pCO2 data from the Antarctic ice cores (Bereiter et al., 2015) to calculate equilibrium concentrations in aqueous CO2 for site MD95-3037 over Termination II in the mixed-layer water mass, where coccolithophores thrive (Winter et al., 2002). SST estimates are taken from the alkenone-derived UK37' record for the core by Calvo et al. (2001), which documents an increase from 13 to 21 ∘C across Termination II. Salinity estimates at our site were obtained following the method of Gray and Evans (2019) by scaling the maximum salinity changes (around +1.5 psu in the glacial ocean relative to modern salinity at our site; de Vernal et al., 2005) with the sea level curve published by Spratt and Lisiecki (2016). Salinity varies from 34.5 during the glacial to 36 during the interglacial. Calculations of the concentration of aqueous CO2 were made using the “seacarb” package in R (Gattuso et al., 2011) with K1 and K2 constants from Lueker et al. (2000). Error estimates (1 SD) for [CO2] were obtained by running 10 000 Monte Carlo simulations with the following uncertainties: ice core pCO2 ±3 ppm (Petit et al., 1999) and a conservative estimate of salinity of ±1 psu. We considered a ±1.2 ∘C error in SST estimates (Conte et al., 2006). The UK37' paleothermometer is overall considered to yield reliable estimates of past sea surface temperatures (Herbert, 2003). An overestimation of UK37'-derived SSTs might arise in particular when C37:4 alkenone abundances exceed 5 %, which generally occurs in locations with freshwater inputs (Calvo et al., 2002). Above this threshold, the UK37'–SST relationship breaks down. Here, while C37:4 alkenones are indeed found in larger concentrations during glacials than during interglacials at the nearby U1313 site, their concentration does not exceed 5 % (Stein et al., 2009).
3.1 Size controls on coccolith vital effects
The relatively small coccoliths of the Gephyrocapsa-dominated 2–3 µm fractions exhibit δ13C values that span from −0.14 ‰ to 1.70 ‰ (Fig. 2). Larger coccoliths from the Calcidiscus-dominated 5–8 µm fractions exhibit more negative (“lighter”) δ13C compositions ranging from −1.50 ‰ to −2.36 ‰. This 1.5 ‰ to 3 ‰ difference in δ13C between the isotopic compositions of the small versus the large coccoliths confirms previously observed biogeochemical data from culture experiments between Gephyrocapsa and Calcidiscus strains (Ziveri et al., 2003; Hermoso, 2014) and the observations made in sedimentological studies (Bolton and Stoll, 2013).
For the oxygen isotope system, the δ18O composition of the Gephyrocapsa fraction ranges from 0.07 ‰ to 3.47 ‰, while that of the Calcidiscus fraction is consistently more negative across the interval, ranging from −1.01 ‰ to 1.70 ‰. As for the carbon system, this 1.5 ‰ offset is within the range of the isotopic differences between cultured Gephyrocapsa and Calcidiscus coccoliths, where the δ18O of Gephyrocapsa coccolith calcite is typically 1 ‰ to 2 ‰ more positive than inorganic calcite and 2 ‰ to 3 ‰ more positive than Calcidiscus coccolith calcite (Ziveri et al., 2003; Candelier et al., 2013; Hermoso et al., 2016a).
Culture and numerical experiments have attributed the large isotopic difference in both carbon and oxygen systems between Gephyrocapsa and Calcidiscus coccoliths to the different strategies of carbon acquisition between coccolithophore cells of different sizes. In the carbon system on the one hand, small cells are less sensitive to limitations in the diffusive supply of CO2 to the cell due to a relatively larger surface-to-volume ratio than larger cells (Popp et al., 1998; Burkhardt et al., 1999). This enables small cells to fix more carbon through photosynthesis, and in turn, they produce coccoliths from a remaining internal carbon pool with a more positive (“heavier”) δ13C composition than larger cells (McClelland et al., 2017). On the other hand, the factors driving the array of oxygen vital effects amongst strains are not so well constrained. There is compelling evidence that coccoliths are isotopically mineralized from HCO3− ions that are pumped from the intracellular carbon pool into the coccolith vesicle (Nimer et al., 1994; Brownlee and Taylor, 2004). It has been hypothesized that the degree of equilibration between CO2 and water molecules inside the intracellular carbon pool sets the amplitude of the coccoliths' vital effect (Hermoso et al., 2016a). Hence small cells, which calcify more quickly than large cells, source HCO3− that has maintained the original “heavy” δ18O composition of the CO2 diffused through the cell membrane and ultimately produce coccoliths with a more positive δ18O than large cells.
Overall, coccolith δ13C and δ18O across Termination II confirm the size dependence of isotopic signals observed in culture and numerical experiments. In this next part, we will try and establish how these isotopic compositions compare to the inorganic reference computed from the isotopic composition of foraminiferal tests in the sedimentary record, since, in culture and numerical experiments, the magnitude of coccolith vital effects has been tied to the degree of carbon limitation in the medium (Rickaby et al., 2010; Hermoso, 2014; Hermoso et al., 2020a).
3.2 Controls on absolute coccolith vital effects
As shown in Fig. 3, both coccolith size fractions exhibit very negative δ13C compositions relative to the computed values for inorganic calcite. The small 2–3 µm coccolith fraction lies 1 ‰ to 3 ‰ below inorganic calcite, while the offset is around −5 ‰ for the larger 5–8 µm fraction (Fig. 3). This offset is reduced in the oxygen system: the 2–3 µm fraction has a δ18O composition close to that of inorganic calcite (an approximate +0.2 ‰ offset), while the 5–8 µm fraction exhibits a mean +1.3 ‰ offset relative to inorganic calcite (Fig. 3).
Taking the foraminifera-derived inorganic reference at face value, it thus appears that the magnitude of Δ13Cabs for both size fractions is much larger than those observed for cultured coccoliths. In culture experiments, Gephyrocapsa typically displays an absolute vital effect in carbon and oxygen between −1 ‰ and 0 ‰ and between 1.0 ‰ and 1.3 ‰, respectively. Calcidiscus coccolith calcite typically lies 0.5 ‰ to 2 ‰ below inorganic calcite in both carbon and oxygen systems (Hermoso, 2014; Hermoso et al., 2016b; McClelland et al., 2017). We suggest that these differences result from the calculation of the inorganic reference from foraminifera isotopic records. Most empirical equations from culture experiments linking the isotopic composition of foraminifera tests to that of inorganic calcite are tested under changing medium temperature (Bemis et al., 2000, 1998). In the present study specifically, the use of the isotopic composition of Globigerina bulloides to estimate the δ13C and δ18O of inorganic calcite is additionally hindered by the large uncertainties surrounding these foraminifera's vital effect and their life cycle within the water column. Globigerina bulloides indeed has one of the largest vital effects among foraminifera: the isotopic composition of its test lies, respectively, 4 ‰ and 0.5 ‰ below that of inorganic calcite in the carbon and oxygen systems in the surface ocean (Kahn and Williams, 1981), an array of values consistent with results from culture experiments (Bemis et al., 1998, 2000) (Fig. 3). The −4 ‰ offset in the carbon system is however reduced to 2 ‰ at a 100 m depth where this species thrives (Kahn and Williams, 1981). Similarly, the offset in the oxygen system varies from 0.5 ‰ to 1.5 ‰ in the first 100 m (Kahn and Williams, 1981). As large uncertainties persist as to the calcification depth of these foraminifera, which migrate down the water column during its life cycle (Blanc and Bé, 1981), we are unable to derive a reliable and accurate measurement of the isotopic composition of inorganic calcite from G. bulloides. Thus overall, we deem the uncertainties surrounding the computation of absolute coccolith vital effects from the foraminifera data too large to interpret their changes across the interval.
3.3 Controls on differential coccolith vital effects
Having highlighted the different biases affecting the interpretation of absolute vital-effect results in this study, we choose to focus the rest of our interpretations on the differential vital effects, which do not require the computation of an inorganic reference. Several studies in the geological record (Bolton and Stoll, 2013; Tremblin et al., 2016; Hermoso et al., 2020b) indeed suggest that their variations carry an environmental signal, which we propose to test and quantify below.
3.3.1 Covariation in differential vital effects across the interval of study
In this study, coccoliths from the Gephyrocapsa 2–3 µm fraction exhibit more positive vital effects for both carbon and oxygen than the larger coccoliths throughout the interval (a mean of 2.8 ‰ and 1.5 ‰, respectively; Fig. 3). This, as detailed above, is within the range of the vital-effect differences observed in culture experiments between Gephyrocapsa and Calcidiscus strains. Interestingly, the isotopic offset between both size fractions is not constant through time. In detail, the largest offset for both carbon and oxygen vital effects is found at the beginning of the interval in the glacial ocean (at 3.81 ‰ and 2.38 ‰, respectively). Both Δ13Csmall−large and Δ18Osmall−large generally decrease across the deglaciation. They reach a minimum during the cold Heinrich Event 11 (1.57 ‰ and 0.68 ‰, respectively). Relatively steady during the Last Interglacial, the Δ13Csmall−large and Δ18Osmall−large increase at the onset of the last glaciation. Over the entire interval, Δ13Csmall−large and Δ18Osmall−large display a regression coefficient (r2) of 0.80 and a p value : when the difference in δ13C between small and large coccolith size fractions increases, the offset in their δ18O increases as well. Similar results were obtained by Bolton and Stoll (2013) and Hermoso et al. (2020b) in the fossil record in two case studies spanning intervals of the Miocene. They argue that an environmental parameter, namely CO2, is at the origin of the variations in both carbon and oxygen differential vital effects.
3.3.2 Controls of CO2 on carbon and oxygen differential vital effects
Coccolithophores rely on available aqueous CO2 in the surface ocean to fix carbon both through photosynthesis and calcification (Hein and Sand-Jensen, 1997; Monteiro et al., 2016). The Δ13Csmall−large and Δ18Osmall−large offsets show a statistically significant correlation with changes in the ambient CO2 concentrations (r2=0.44, and r2=0.51, , respectively; Fig. 4). When the CO2 content increases in the surface ocean, the isotopic offset between large and small coccoliths decreases. The relationship with atmospheric pCO2 as recorded in the Antarctic ice cores is not as significant, however, with an r2 of 0.27 (p=0.02) between coccolith Δ13Csmall−large and ice core pCO2 and an r2 of 0.37 (p<0.01) with Δ18Osmall−large (Fig. S3). The largest decoupling between atmospheric and oceanic CO2 over the interval occurs during Heinrich Event 11. This marked cold event in the midlatitude North Atlantic (Jiménez-Amat and Zahn, 2015; Deaney et al., 2017) leads to a short-lived event of increased pCO2 solubility and thus increased aqueous CO2 concentrations (ca. 9 µmol kg−1). This peak in oceanic CO2 levels, which does not appear in the global atmospheric pCO2 record, coincides with the lowest magnitudes of differential coccolith vital effects across the interval.
Culture and numerical studies offer insight into the way that changes in CO2 concentrations drive the variations in the difference in δ13C and δ18O of small versus large cells (Bolton and Stoll, 2013; Hermoso et al., 2016b; McClelland et al., 2017). In the modern ocean, phytoplankton cells experience CO2 limitation (Hein and Sand-Jensen, 1997; Reinfelder, 2011). This is especially the case for the larger cells, which are less permeable to ambient CO2 due to a small surface-to-volume ratio (Popp et al., 1998). Culture studies have demonstrated that when CO2 concentrations in the culture medium increase, increasing photosynthetic carbon fixation in large cells drives their coccolith δ13C towards heavier values, thereby reducing the Δ13Csmall−large (Hermoso et al., 2016b; McClelland et al., 2017). In the oxygen system, the reduction of Δ18Osmall−large under conditions of increasing CO2 is explained by an increase in the equilibration time of HCO3− with CO2 in small cells, due to a larger supply of CO2 from the environment into the intracellular pool. As a result, their coccolith δ18O evolves towards lighter values, similar to that of large coccoliths.
In agreement with culture results, both Δ13Csmall−large and Δ18Osmall−large scale inversely with CO2 changes over the interval. A standard ordinary least squares (OLS) regression model yields the following relationship between coccolith differential vital effects and aqueous CO2 for aqueous CO2 concentrations below 10 µmol kg−1 (Eqs. 7 and 8, for the carbon and oxygen isotopic systems, respectively):
with CO2 in µmol kg−1 and Δ13Csmall−large and Δ18Osmall−large in per mill VPDB. Compared to the CO2 ranges tested in culture experiments (typically 1 to 5 times present-day concentrations; Rickaby et al., 2010; Bach et al., 2013; Hermoso et al., 2016b), the range of the increase in surface ocean aqueous CO2 at site MD95-2037 corresponding to the atmospheric pCO2 change throughout Termination II is arguably small in absolute values (1.9 µmol kg−1 at core MD95-2037). However, the rise from 7.3 to 9.2 µmol kg−1 represents a 25 % relative increase in CO2 over the deglaciation in a very carbon-limited ocean and is thus likely to trigger a strong response in coccolith metabolic rates. This is evident in Fig. 5, which shows that the sensitivity of coccolith differential vital effects to the measured changes in CO2 in our study is twice as large as the one derived from the datasets of Bolton et al. (2012) for the Late Miocene on similar coccolith size fractions (see Table S1 for details on the datasets used).
The largest change in carbon and oxygen differential vital effects occurs at the end of MIS 6, from the onset to the peak of Heinrich Event 11 centered around 132 ka. In the glacial (G) ocean, during the Last Interglacial (LIG) and the Glacial Inception (GI), differential vital effects display a variability that does not seem to correspond to a change in CO2 levels (Fig. 4). This might be due to either (i) processes other than CO2 affecting coccolithophore calcification and photosynthesis and thus vital effects (i.e., growth rate, carbon concentrating mechanisms) or (ii) a disequilibrium between atmosphere and seawater CO2 concentrations. These points are discussed below.
3.3.3 Impact of coccolithophore physiology changes on differential vital effects
The direct comparison of coccolith differential vital effects to CO2 concentrations can be complicated by the influence of a number of physiological factors affecting the geochemistry of the coccolithophores. In addition to the cellular surface-to-volume ratio and supply of carbon in the form of CO2 already mentioned above, coccolith vital effects are also dependent on growth rate (µ) and the possible presence of CO2 concentrating mechanisms.
At a given [CO2], larger division rates increase the demand of the cell for carbon (Popp et al., 1998). Larger division rates might therefore increase coccolith vital effects in the absence of any change in [CO2]. However, modeling and culture results reveal an inverse relationship linking cell size (thus surfacevolume ratio) and growth rate (Huete-Ortega et al., 2012; Aloisi, 2015), which suggests that any change in growth rate is theoretically compensated for by a change in cell size. If across the interval there is nevertheless a shift towards coccolithophore assemblages with larger growth rates within a given size fraction, this could reduce the efficiency of coccolithophore photosynthesis and calcification. Specifically, an increase in growth rate with no observable change in cell size could explain why Δ13Csmall−large and Δ18Osmall−large increase between the LIG and GI despite similar [CO2] (Fig. 5). The records of surface productivity during Termination II report, however, that coccolithophore productivity likely decreased over the studied interval. Indeed surface productivity at the location of core MD95-2037 is believed to have been more elevated during glacial times (Naafs et al., 2010; Schwab et al., 2012; Cavaleiro et al., 2018). Studies attribute this glacial increase in primary productivity to a southward migration of the Azores Front during glaciations as a probable response to increasing westerly and/or trade winds (Villanueva et al., 2001; Naafs et al., 2010). The displacement of the Azores Front back to its present-day location during deglaciations could limit coccolithophore growth rates during interglacials and explain why vital effects generally decrease over the Termination II. However, studies suggest that variations in surface productivity (and thus, coccolithophore growth rates) occurred on millennial timescales in the midlatitude North Atlantic (Villanueva et al., 2001; Schwab et al., 2012). The alkenone concentrations available at this site over Termination II (Villanueva et al., 2001), a proxy for coccolithophore growth rate changes, account for these rapid changes. However, they are uncorrelated to coccolithophore differential vital effects (Fig. S3). Including alkenone concentrations in Eqs. (7) and (8) relating coccolith differential vital effects to aqueous CO2 does not lead to better regression coefficients. Overall, this suggests that growth rate changes are not responsible for the observed discrepancies between Δ13Csmall−large, Δ18Osmall−large and [CO2].
In addition to growth rate changes, the presence of CO2 concentrating mechanisms can also affect the sensitivity of the vital effect to changing CO2 concentrations. These mechanisms, which might include the excretion of carbonic anhydrase (CA) or dissolved inorganic carbon transporters (Reinfelder, 2011), increase the carbon supply, either from the environment to the cell or from the cytoplasm to the chloroplast. Over our interval of study, the presence of CCMs in coccolithophores of both coccolith size fractions might explain why some Δ13Csmall−large and Δ18Osmall−large values of the glacial maximum are low, despite low ambient CO2. Previous studies have invoked the presence of CCMs to explain why the transfer function established for the alkenone εp barometer is not suitable for periods with low surface ocean CO2 levels such as glacial maxima (Stoll et al., 2019; Badger et al., 2019). Here, only a fraction of the Δ13Csmall−large and Δ18Osmall−large data points in the low-CO2 surface ocean lie outside the general trend, indicating no threshold value below which coccolithophore-inducible CCMs might be upregulated. This is compatible with observations from culture experiments performed on Emiliania huxleyi that report that CCMs are upregulated in the cell when [CO2] falls below 7.5 µmol kg−1 in the medium (Bach et al., 2013). It is also compatible with results from other culture experiments which find no CCM upregulation in Gephyrocapsa cells in conditions of carbon limitation (Nimer et al., 1997). Moreover, under the standing hypothesis, CCM upregulation must impact both photosynthesis and calcification rates in order to explain why glacial values for both Δ13Csmall−large and Δ18Osmall−large lie off the general trend, respectively. However, previous gene sequencing and modeling studies suggest that cellular CCM upregulation acts predominantly at the chloroplast level to boost photosynthesis, with little effect on calcification (Bach et al., 2013). On the whole, we deem the presence of CCMs to be unlikely across the interval.
3.4 Impact of air–sea gas exchange on [CO2] calculations
The surface ocean CO2 values calculated from the ice core atmospheric pCO2 records and alkenone UK37' cover two discrete ranges of carbon levels that do not overlap: a “glacial” CO2 range centered around 7.5 µmol kg−1 and an “interglacial” CO2 range centered around 9 µmol kg−1 (Fig. 5). Coccolith differential vital effects, on the other hand, paint a more nuanced picture over the interval, with no notable gap in values over the interval in either Δ13Csmall−large or Δ18Osmall−large. Having laid out in the previous section the different uncertainties affecting coccolith differential vital effects, we review below the potential biases likely to affect the reconstruction of the [CO2] figures and therefore the input values of our calibration.
The largest uncertainty when deriving surface ocean CO2 values from atmospheric CO2 arises from the chemical disequilibrium existing at the air–sea interface. In the modern ocean, surface ocean CO2 concentrations might lie as high as 100 ppm yearly above atmospheric pCO2 in equatorial regions or as low as −50 ppm in the Arctic (Takahashi et al., 2011). The range of air–sea disequilibrium is more restricted in the midlatitude North Atlantic. To the north of the Azores Front, the existence of a deep winter mixed layer enables the cycling of nutrient at the surface and promotes primary productivity, leading surface CO2 to be slightly lower than atmospheric CO2. This disequilibrium promotes the dissolution of atmospheric CO2 in the surface ocean, creating a 15 ppm yearly sink for global pCO2 at site MD95-2037. Coccolith-derived [CO2] would indicate a value of ∼ 0.8 µmol kg−1 (around 20 ppm) below those computed from ice core pCO2 records during the glacial inception. This is equivalent to the disequilibrium at the site in today's “glacial inception” surface ocean. However, the existence of the 15 ppm sink cannot account for the coccolith-derived [CO2] values of the glacial maximum. Instead, when taking coccolith [CO2] at face value, surface ocean conditions exceed ice core pCO2 by 20 ppm in the glacial ocean.
There is compelling evidence that air–sea pCO2 disequilibrium (ΔpCO2) varied in the past (Skinner et al., 2010, 2017; Martínez-Botí et al., 2015). In the specific case of site MD95-2037, the probable changes in the position of the Azores Front discussed above are likely to have altered the air–sea CO2 fluxes across the deglaciation. On a global scale, data from boron isotopes, for instance, reveal that a widespread outgassing event, produced by the renewed upwelling of carbon-rich deep waters, enriched the surface ocean by as much as 60 ppm relative to the atmosphere over the last deglaciation (Shao et al., 2019). The existence of a high surface ocean CO2 event at the onset of deglaciations had previously been hypothesized and put forward to explain the higher than expected εp measured during glacial maxima observed in the equatorial Pacific (Jasper et al., 1994). While the composite ΔpCO2 plot obtained by Shao et al. (2019) cannot account for regional disparities, the existence of an outgassing event could explain the 20 ppm excess of glacial coccolith-derived CO2 relative to the Antarctic record. An alternative hypothesis might include a weakening of the soft-tissue pump relative to the carbonate counter pump during the glacial maximum (Duchamp-Alphonse et al., 2018), leading to the formation of an oceanic pCO2 source to the atmosphere. This could result from a stronger stratification of the water column during glacial maxima caused by the expansion of polar (melt)waters as low as 50∘ N (Villanueva et al., 1998; Pflaumann et al., 2003). The poor renewal of surface ocean nutrient concentration during the glacial maximum (Skinner et al., 2010), together with low glacial SSTs, may have weakened the biological pump. At the same time, both modeling and sedimentological results suggest that coccolithophore calcification spiked during glacial maxima in the midlatitude North Atlantic (Beaufort et al., 2011; Omta et al., 2013). This may have strengthened the carbonate counter pump and made the midlatitude North Atlantic glacial ocean a weak source for atmospheric carbon immediately before the deglaciation.
A change in the value of air–sea disequilibrium over the deglaciation can thus provide a likely explanation for the discrepancies between the ice core pCO2 and coccolith vital-effect records across the deglaciation. This bias is common to the different pCO2 proxies calibrated using ice core data because the extent of the change in the disequilibrium, which remains difficult to quantify, can, in all likelihood, represent up to half of the atmospheric pCO2 changes across a deglaciation.
The paleobiogeochemical records presented in this study throw light on the nature of the factors forcing both the isotopic composition of the coccoliths and the magnitude of the vital effects in relatively small versus large coccoliths. We take advantage of the major and well-constrained pCO2 rise that occurs over the penultimate deglaciation between 140 and 130 kyr to study the response of the differential coccolith vital effects to ambient CO2 levels. We validate results from previous culture and numerical experiments, in that the difference between the isotopic composition between small and large coccolith size fractions responds to a forcing exerted by the availability of CO2, which sustains both cellular photosynthesis and calcification. This study outlines the “low-CO2” endmember of a more general transfer function tying the differential coccolith vital effects (Δ13Csmall−large and Δ18Osmall−large) to an ambient CO2 concentration, applicable to periods such as Pleistocene glacial–interglacial cycles. However, a more detailed record of the oceanographic and primary productivity changes that occur over the deglaciation is needed before this relationship can be defined beyond a first-order trend. This works sets the foundations for the use of coccolith differential vital effects to extend the ice core pCO2 records into Quaternary time periods of particular interest. This includes target intervals such as the Middle Pleistocene Transition (ca. 1250–700 ka), over which no ice-derived CO2 record currently exists and during which variations in atmospheric pCO2 concentrations are believed to have caused the changes in the glacial–interglacial pace from 40 to 100 kyr cyclicity.
The data used are available as a Supplement to this article.
The supplement related to this article is available online at: https://doi.org/10.5194/cp-18-449-2022-supplement.
MH and FM designed the research; CG prepared samples; CG, FM, FB and MH analyzed data; and CG wrote the paper with inputs from FM, FB and MH.
The contact author has declared that neither they nor their co-authors have any competing interests.
Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
We thank Nathalie Labourdette, Lorna Foliot, Laura Lutaster, Amélie Guittet and Laurent Emmanuel for measurements of the isotopic ratios of carbonates and Omar Boudouma for help on the SEM. This study benefited from insightful discussions with Jérémie Bardin. We would also like to thank Eva Calvo and Clara Bolton, who gave us access to their data. Finally, we are grateful to Luc Beaufort, Tom Dunkley Jones and an anonymous reviewer for their constructive comments, which greatly improved the paper.
Michaël Hermoso received financial support from the French Agence Nationale de la Recherche (ANR) (Project CARCLIM, grant no. ANR-17-CE01-0004-01). Part of this work was also supported by the Mission pour l'Interdisciplinarité of the French Centre National de la Recherche Scientifique (CNRS) in the framework of the Défi ISOTOP with a grant awarded to Fabrice Minoletti (Project COCCOTOP grant).
This paper was edited by Luc Beaufort and reviewed by Tom Dunkley Jones and one anonymous referee.
Aloisi, G.: Covariation of metabolic rates and cell size in coccolithophores, Biogeosciences, 12, 4665–4692, https://doi.org/10.5194/bg-12-4665-2015, 2015.
Bach, L. T., MacKinder, L. C. M., Schulz, K. G., Wheeler, G., Schroeder, D. C., Brownlee, C., and Riebesell, U.: Dissecting the impact of CO2 and pH on the mechanisms of photosynthesis and calcification in the coccolithophore Emiliania huxleyi, New Phytol., 199, 121–134, https://doi.org/10.1111/nph.12225, 2013.
Badger, M. P. S., Chalk, T. B., Foster, G. L., Bown, P. R., Gibbs, S. J., Sexton, P. F., Schmidt, D. N., Pälike, H., Mackensen, A., and Pancost, R. D.: Insensitivity of alkenone carbon isotopes to atmospheric CO2 at low to moderate CO2 levels, Clim. Past, 15, 539–554, https://doi.org/10.5194/cp-15-539-2019, 2019.
Bassinot, F. and Labeyrie, L.: IMAGES – MD 101 à bord du Marion-Dufresne du 29 mai au 11 juillet 1995. A coring cruise of the R/V Marion Dufresne in the North Atlantic Ocean and Norwegian Sea, Les Publications de l'Institut français pour la recherche et la technologie polaires. Les Rapports des campagnes à la mer, 96–1, 221, 1996.
Beaufort, L., Probert, I., De Garidel-Thoron, T., Bendif, E. M., Ruiz-Pino, D., Metzl, N., Goyet, C., Buchet, N., Coupel, P., Grelaud, M., Rost, B., Rickaby, R. E. M., and De Vargas, C.: Sensitivity of coccolithophores to carbonate chemistry and ocean acidification, Nature, 476, 80–83, https://doi.org/10.1038/nature10295, 2011.
Bemis, B. E., Spero, H. J., Bijma, J., and Lea, D. W.: Reevaluation of the oxygen isotopic composition of planktonic foraminifera: Experimental results and revised paleotemperature equations, Paleoceanography, 13, 150–160, https://doi.org/10.1029/98PA00070, 1998.
Bemis, B. E., Spero, H. J., Lea, D. W., and Bijma, J.: Temperature influence on the carbon isotopic composition of Globigerina bulloides and Orbulina universa (planktonic foraminifera), Mar. Micropaleontol., 38, 213–228, https://doi.org/10.1016/S0377-8398(00)00006-2, 2000.
Bereiter, B., Eggleston, S., Schmitt, J., Nehrbass-Ahles, C., Stocker, T. F., Fischer, H., Kipfstuhl, S., and Chappellaz, J.: Revision of the EPICA Dome C CO2 record from 800 to 600 kyr before present, Geophys. Res. Lett., 42, 542–549, https://doi.org/10.1002/2014GL061957, 2015.
Berner, R. A.: Atmospheric Carbon Dioxide Levels Over Phanerozoic Time, Science, 249, 1382–1386, https://doi.org/10.1126/science.249.4975.1382, 1990.
Blanc, P.-L. and Bé, A. W. H.: Oxygen-18 Enrichment of Planktonic Foraminifera Due to Gametogenic Calcification Below the Euphotic Zone, Science, 213, 1247–1250, https://doi.org/10.1126/science.213.4513.1247, 1981.
Bolton, C. T. and Stoll, H. M.: Late Miocene threshold response of marine algae to carbon dioxide limitation, Nature, 500, 558–562, https://doi.org/10.1038/nature12448, 2013.
Bolton, C. T., Stoll, H. M., and Mendez-Vicente, A.: Vital effects in coccolith calcite: Cenozoic climate-pCO2 drove the diversity of carbon acquisition strategies in coccolithophores?, Paleoceanography, 27, 1–16, https://doi.org/10.1029/2012PA002339, 2012.
Broecker, W.: CO2: Earth's Climate Driver, Geochem. Perspect., 7, 117–196, https://doi.org/10.7185/geochempersp.7.2, 2018.
Broecker, W. S.: Glacial to interglacial changes in ocean chemistry, Prog. Oceanogr., 11, 151–197, https://doi.org/10.1016/0079-6611(82)90007-6, 1982.
Brownlee, C. and Taylor, A.: Calcification in coccolithophores: A cellular perspective, in: Coccolithophores, Springer Berlin Heidelberg, Berlin, Heidelberg, 31–49, https://doi.org/10.1007/978-3-662-06278-4_2, 2004.
Burkhardt, S., Riebesell, U., and Zondervan, I.: Effects of growth rate, CO2 concentration, and cell size on the stable carbon isotope fractionation in marine phytoplankton, Geochim. Cosmochim. Ac., 63, 3729–3741, https://doi.org/10.1016/S0016-7037(99)00217-3, 1999.
Calov, R., Ganopolski, A., Claussen, M., Petoukhov, V., and Greve, R.: Transient simulation of the last glacial inception. Part I: Glacial inception as a bifurcation in the climate system, Clim. Dynam., 24, 545–561, https://doi.org/10.1007/s00382-005-0007-6, 2005.
Calvo, E., Villanueva, J., Grimalt, J. O., Boelaert, A., and Labeyrie, L.: New insights into the glacial latitudinal temperature gradients in the North Atlantic. Results from U37K′ sea surface temperatures and terrigenous inputs, Earth Planet. Sc. Lett., 188, 509–519, https://doi.org/10.1016/S0012-821X(01)00316-8, 2001.
Calvo, E., Grimalt, J., and Jansen, E.: High resolution U37K sea surface temperature reconstruction in the Norwegian Sea during the Holocene, Quaternary Sci. Rev., 21, 1385–1394, https://doi.org/10.1016/S0277-3791(01)00096-8, 2002.
Candelier, Y., Minoletti, F., Probert, I., and Hermoso, M.: Temperature dependence of oxygen isotope fractionation in coccolith calcite: A culture and core top calibration of the genus Calcidiscus, Geochim. Cosmochim. Ac., 100, 264–281, https://doi.org/10.1016/j.gca.2012.09.040, 2013.
Cavaleiro, C., Voelker, A. H. L., Stoll, H., Baumann, K.-H., Kulhanek, D. K., Naafs, B. D. A., Stein, R., Grützner, J., Ventura, C., and Kucera, M.: Insolation forcing of coccolithophore productivity in the North Atlantic during the Middle Pleistocene, Quaternary Sci. Rev., 191, 318–336, https://doi.org/10.1016/j.quascirev.2018.05.027, 2018.
Conte, M. H., Sicre, M. A., Rühlemann, C., Weber, J. C., Schulte, S., Schulz-Bull, D., and Blanz, T.: Global temperature calibration of the alkenone unsaturation index (U) in surface waters and comparison with surface sediments, Geochem. Geophy. Geosy., 7, Q02005, https://doi.org/10.1029/2005GC001054, 2006.
Deaney, E. L., Barker, S., and Van De Flierdt, T.: Timing and nature of AMOC recovery across Termination 2 and magnitude of deglacial CO2 change, Nat. Commun., 8, 14595, https://doi.org/10.1038/ncomms14595, 2017.
de Vargas, C., Aubry, M. P., Probert, I., and Young, J.: Origin and Evolution of Coccolithophores: From Coastal Hunters to Oceanic Farmers, in: Evolution of Primary Producers in the Sea, Elsevier, 251–285, https://doi.org/10.1016/B978-012370518-1/50013-8, 2007.
de Vernal, A., Eynaud, F., Henry, M., Hillaire-Marcel, C., Londeix, L., Mangin, S., Matthiessen, J., Marret, F., Radi, T., Rochon, A., Solignac, S., and Turon, J. L.: Reconstruction of sea-surface conditions at middle to high latitudes of the Northern Hemisphere during the Last Glacial Maximum (LGM) based on dinoflagellate cyst assemblages, Quaternary Sci. Rev., 24, 897–924, https://doi.org/10.1016/j.quascirev.2004.06.014, 2005.
Drysdale, R. N., Zanchetta, G., Hellstrom, J. C., Fallick, A. E., and Zhao, J. X.: Stalagmite evidence for the onset of the Last Interglacial in southern Europe at 129±1 ka, Geophys. Res. Lett., 32, 1–4, https://doi.org/10.1029/2005GL024658, 2005.
Duchamp-Alphonse, S., Siani, G., Michel, E., Beaufort, L., Gally, Y., and Jaccard, S. L.: Enhanced ocean-atmosphere carbon partitioning via the carbonate counter pump during the last deglacial, Nat. Commun., 9, 2396, https://doi.org/10.1038/s41467-018-04625-7, 2018.
Dudley, W. C., Blackwelder, P., Brand, L., and Duplessy, J. C.: Stable isotopic composition of coccoliths, Mar. Micropaleontol., 10, 1–8, https://doi.org/10.1016/0377-8398(86)90021-6, 1986.
Foster, G. L.: Seawater pH, pCO2 and [CO2−3] variations in the Caribbean Sea over the last 130 kyr: A boron isotope and B/Ca study of planktic foraminifera, Earth Planet. Sc. Lett., 271, 254–266, https://doi.org/10.1016/j.epsl.2008.04.015, 2008.
Gattuso, J.-P., Epitalon, J.-M., Lavigne, H., and Orr, J.: seacarb: Seawater carbonate chemistry with R. R package version 3.3.0, https://cran.r-project.org/web/packages/seacarb/index.html (last access: 2 March 2022), 2011.
Govin, A., Capron, E., Tzedakis, P. C., Verheyden, S., Ghaleb, B., Hillaire-Marcel, C., St-Onge, G., Stoner, J. S., Bassinot, F., Bazin, L., Blunier, T., Combourieu-Nebout, N., El Ouahabi, A., Genty, D., Gersonde, R., Jimenez-Amat, P., Landais, A., Martrat, B., Masson-Delmotte, V., Parrenin, F., Seidenkrantz, M. S., Veres, D., Waelbroeck, C., and Zahn, R.: Sequence of events from the onset to the demise of the Last Interglacial: Evaluating strengths and limitations of chronologies used in climatic archives, Quaternary Sci. Rev., 129, 1–36, https://doi.org/10.1016/j.quascirev.2015.09.018, 2015.
Gray, W. R. and Evans, D.: Nonthermal Influences on Mg/Ca in Planktonic Foraminifera: A Review of Culture Studies and Application to the Last Glacial Maximum, Paleoceanography and Paleoclimatology, 34, 306–315, https://doi.org/10.1029/2018PA003517, 2019.
Hein, M. and Sand-Jensen, K.: CO2 increases oceanic primary production, Nature, 388, 526–527, https://doi.org/10.1038/41457, 1997.
Henderiks, J.: Coccolithophore size rules – Reconstructing ancient cell geometry and cellular calcite quota from fossil coccoliths, Mar. Micropaleontol., 67, 143–154, https://doi.org/10.1016/j.marmicro.2008.01.005, 2008.
Herbert, T. D.: Alkenone Paleotemperature Determinations, in: Treatise on Geochemistry, 6–9, 391–432, https://doi.org/10.1016/B0-08-043751-6/06115-6, 2003.
Herbert, T. D., Lawrence, K. T., Tzanova, A., Peterson, L. C., Caballero-Gill, R., and Kelly, C. S.: Late Miocene global cooling and the rise of modern ecosystems, Nat. Geosci., 9, 843–847, https://doi.org/10.1038/ngeo2813, 2016.
Hermoso, M.: Coccolith-Derived Isotopic Proxies in Palaeoceanography: Where Geologists Need Biologists, Cryptogamie Algol., 35, 323–351, https://doi.org/10.7872/crya.v35.iss4.2014.323, 2014.
Hermoso, M.: Isotopic record of Pleistocene glacial/interglacial cycles in pelagic carbonates: Revisiting historical data from the Caribbean Sea, Quaternary Sci. Rev., 137, 69–78, https://doi.org/10.1016/j.quascirev.2016.02.003, 2016.
Hermoso, M., Candelier, Y., Browning, T. J., and Minoletti, F.: Environmental control of the isotopic composition of subfossil coccolith calcite: Are laboratory culture data transferable to the natural environment?, 7, 35–42, https://doi.org/10.1016/j.grj.2015.05.002, 2015.
Hermoso, M., Minoletti, F., Aloisi, G., Bonifacie, M., McClelland, H. L. O., Labourdette, N., Renforth, P., Chaduteau, C., and Rickaby, R. E. M.: An explanation for the 18O excess in Noelaerhabdaceae coccolith calcite, Geochim. Cosmochim. Ac., 189, 132–142, https://doi.org/10.1016/j.gca.2016.06.016, 2016a.
Hermoso, M., Chan, I. Z. X., McClelland, H. L. O., Heureux, A. M. C., and Rickaby, R. E. M.: Vanishing coccolith vital effects with alleviated carbon limitation, Biogeosciences, 13, 301–312, https://doi.org/10.5194/bg-13-301-2016, 2016b.
Hermoso, M., Godbillot, C., and Minoletti, F.: Enhancing Our Palaeoceanographic Toolbox Using Paired Foraminiferal and Coccolith Calcite Measurements From Pelagic Sequences, Front. Earth Sci., 8, 1–5, https://doi.org/10.3389/feart.2020.00038, 2020a.
Hermoso, M., McClelland, H.-L. O., Hirst, J. S., Minoletti, F., Bonifacie, M., and Rickaby, R. E. M.: Towards the use of the coccolith vital effects in palaeoceanography: A field investigation during the middle Miocene in the SW Pacific Ocean, Deep Sea Research Part I: Oceanographic Research Papers, 38, 103262, https://doi.org/10.1016/j.dsr.2020.103262, 2020b.
Huete-Ortega, M., Cermeño, P., Calvo-Díaz, A., and Marañón, E.: Isometric size-scaling of metabolic rate and the size abundance distribution of phytoplankton, P. Roy. Soc. B.-Biol. Sci., 279, 1815–1823, https://doi.org/10.1098/rspb.2011.2257, 2012.
Jasper, J. P., Hayes, J. M., Mix, A. C., and Prahl, F. G.: Photosynthetic fractionation of 13C and concentrations of dissolved CO2 in the central equatorial Pacific during the last 255,000 years, Paleoceanography, 9, 781–798, https://doi.org/10.1029/94PA02116, 1994.
Jiménez-Amat, P. and Zahn, R.: Offset timing of climate oscillations during the last two glacial-interglacial transitions connected with large-scale freshwater perturbation, Paleoceanography, 30, 768–788, https://doi.org/10.1002/2014PA002710, 2015.
Jin, X., Liu, C., Zhang, H., Zhou, C., Jiang, X., Wu, Z., and Xu, J.: Evolutionary driven of Gephyrocapsa coccolith isotopic vital effects over the past 400 ka, Earth Planet. Sc. Lett., 503, 236–247, https://doi.org/10.1016/j.epsl.2018.09.010, 2018.
Kahn, M. I. and Williams, D. F.: Oxygen and carbon isotopic composition of living planktonic foraminifera from the northeast Pacific Ocean, Palaeogeogr. Palaeocl., 33, 47–69, https://doi.org/10.1016/0031-0182(81)90032-8, 1981.
Kim, S.-T. and O'Neil, J. R.: Equilibrium and nonequilibrium oxygen isotope effects in synthetic carbonates, Geochim. Cosmochim. Ac., 61, 3461–3475, https://doi.org/10.1016/S0016-7037(97)00169-5, 1997.
Lévy, M., Lehahn, Y., André, J. M., Mémery, L., Loisel, H., and Heifetz, E.: Production regimes in the northeast Atlantic: A study based on Sea-viewing Wide Field-of-view Sensor (SeaWiFS) chlorophyll and ocean general circulation model mixed layer depth, J. Geophys. Res.-Oceans, 110, 1–16, https://doi.org/10.1029/2004JC002771, 2005.
Lisiecki, L. E. and Raymo, M. E.: A Pliocene-Pleistocene stack of 57 globally distributed benthic δ18O records, Paleoceanography, 20, 1–17, https://doi.org/10.1029/2004PA001071, 2005.
Lisiecki, L. E. and Stern, J. V: Regional and global benthic δ18O stacks for the last glacial cycle, Paleoceanography, 31, 1368–1394, https://doi.org/10.1002/2016PA003002, 2016.
Locarnini, R. A., Mishonov, A. V., Antonov, J. I., Boyer, T. P., Garcia, H. E., Baranova, O. K., Zweng, M. M., Paver, C. R., Reagan, J. R., Johnson, D. R., Hamilton, M., and Seidov, D.: World Ocean Atlas 2013, Volume 1: Temperature, edited by: Levitus, S. and Mishonov, A. V., 40 pp., 2013.
Lohbeck, K. T., Riebesell, U., and Reusch, T. B. H.: Adaptive evolution of a key phytoplankton species to ocean acidification, Nat. Geosci., 5, 346–351, https://doi.org/10.1038/ngeo1441, 2012.
Lueker, T. J., Dickson, A. G., and Keeling, C. D.: Ocean pCO2 calculated from dissolved inorganic carbon, alkalinity, and equations for K1 and K2: validation based on laboratory measurements of CO2 in gas and seawater at equilibrium, Mar. Chem., 70, 105–119, https://doi.org/10.1016/S0304-4203(00)00022-0, 2000.
Martínez-Botí, M. A., Marino, G., Foster, G. L., Ziveri, P., Henehan, M. J., Rae, J. W. B., Mortyn, P. G., and Vance, D.: Boron isotope evidence for oceanic carbon dioxide leakage during the last deglaciation, Nature, 518, 219–222, https://doi.org/10.1038/nature14155, 2015.
McClelland, H. L. O., Bruggeman, J., Hermoso, M., and Rickaby, R. E. M.: The origin of carbon isotope vital effects in coccolith calcite, Nat. Commun., 8, 1–16, https://doi.org/10.1038/ncomms14511, 2017.
Minoletti, F., Hermoso, M., and Gressier, V.: Separation of sedimentary micron-sized particles for palaeoceanography and calcareous nannoplankton biogeochemistry, Nat. Protoc., 4, 14–24, https://doi.org/10.1038/nprot.2008.200, 2009.
Monteiro, F. M., Bach, L. T., Brownlee, C., Bown, P., Rickaby, R. E. M., Poulton, A. J., Tyrrell, T., Beaufort, L., Dutkiewicz, S., Gibbs, S., Gutowska, M. A., Lee, R., Riebesell, U., Young, J., and Ridgwell, A.: Why marine phytoplankton calcify, Science Advances, 2, e1501822, https://doi.org/10.1126/sciadv.1501822, 2016.
Naafs, B. D. A., Stein, R., Hefter, J., Khélifi, N., De Schepper, S., and Haug, G. H.: Late Pliocene changes in the North Atlantic Current, Earth Planet. Sc. Lett., 298, 434–442, https://doi.org/10.1016/j.epsl.2010.08.023, 2010.
Neftel, A., Oeschger, H., Schwander, J., Stauffer, B., and Zumbrunn, R.: Ice core sample measurements give atmospheric CO2 content during the past 40,000 yr, Nature, 295, 220–223, https://doi.org/10.1038/295220a0, 1982.
Nimer, N., Brownlee, C., and Merrett, M.: Carbon dioxide availability, intracellular pH and growth rate of the coccolithophore Emiliania huxleyi, Mar. Ecol. Prog. Ser., 109, 257–262, https://doi.org/10.3354/meps109257, 1994.
Nimer, N. A., Iglesias-Rodriguez, M. D., and Merrett, M. J.: Bicarbonate utilization by marine phytoplankton species, J. Phycol., 33, 625–631, https://doi.org/10.1111/j.0022-3646.1997.00625.x, 1997.
Omta, A. W., Van Voorn, G. A. K., Rickaby, R. E. M., and Follows, M. J.: On the potential role of marine calcifiers in glacial-interglacial dynamics, Global Biogeochem. Cy., 27, 692–704, https://doi.org/10.1002/gbc.20060, 2013.
Pagani, M.: Biomarker-Based Inferences of Past Climate: The Alkenone pCO2 Proxy, in: Treatise on Geochemistry, vol. 12, Elsevier, 361–378, https://doi.org/10.1016/B978-0-08-095975-7.01027-5, 2014.
Paillard, D., Labeyrie, L., and Yiou, P.: Macintosh Program performs time-series analysis, Eos, Transactions American Geophysical Union, 77, 379–379, https://doi.org/10.1029/96EO00259, 1996.
Pearson, P. N.: Oxygen isotopes in foraminifera: Overview and historical review, The Paleontological Society Papers, 18, 1–38, https://doi.org/10.1017/S1089332600002539, 2012.
Petit, J. R., Jouzel, J., Raynaud, D., Barkov, N. I., Barnola, J.-M., Basile, I., Bender, M., Chappellaz, J., Davis, M., Delaygue, G., Delmotte, M., Kotlyakov, V. M., Legrand, M., Lipenkov, V. Y., Lorius, C., PÉpin, L., Ritz, C., Saltzman, E., and Stievenard, M.: Climate and atmospheric history of the past 420,000 years from the Vostok ice core, Antarctica, Nature, 399, 429–436, https://doi.org/10.1038/20859, 1999.
Pflaumann, U., Sarnthein, M., Chapman, M., D'Abreu, L., Funnell, B., Huels, M., Kiefer, T., Maslin, M., Schulz, H., Swallow, J., van Kreveld, S., Vautravers, M., Vogelsang, E., and Weinelt, M.: Glacial North Atlantic: Sea-surface conditions reconstructed by GLAMAP 2000, Paleoceanography, 18, 10.1-10.21, https://doi.org/10.1029/2002PA000774, 2003.
Popp, B. N., Laws, E. A., Bidigare, R. R., Dore, J. E., Hanson, K. L., and Wakeham, S. G.: Effect of phytoplankton cell geometry on carbon isotopic fractionation, Geochim. Cosmochim. Ac., 62, 69–77, https://doi.org/10.1016/S0016-7037(97)00333-5, 1998.
Rae, J. W. B., Zhang, Y. G., Liu, X., Foster, G. L., Stoll, H. M., and Whiteford, R. D. M.: Atmospheric CO2 over the Past 66 Million Years from Marine Archives, Annu. Rev. Earth Pl. Sc., 49, 609–641, https://doi.org/10.1146/annurev-earth-082420-063026, 2021.
Rebotim, A., Voelker, A. H. L., Jonkers, L., Waniek, J. J., Meggers, H., Schiebel, R., Fraile, I., Schulz, M., and Kucera, M.: Factors controlling the depth habitat of planktonic foraminifera in the subtropical eastern North Atlantic, Biogeosciences, 14, 827–859, https://doi.org/10.5194/bg-14-827-2017, 2017.
Reinfelder, J. R.: Carbon Concentrating Mechanisms in Eukaryotic Marine Phytoplankton, Ann. Rev. Mar. Sci., 3, 291–315, https://doi.org/10.1146/annurev-marine-120709-142720, 2011.
Rickaby, R. E. M., Henderiks, J., and Young, J. N.: Perturbing phytoplankton: response and isotopic fractionation with changing carbonate chemistry in two coccolithophore species, Clim. Past, 6, 771–785, https://doi.org/10.5194/cp-6-771-2010, 2010.
Schlitzer, R.: Ocean Data View, ODV [code], http://odv.awi.de (last access: 2 March 2022), 2018.
Sanyal, A., Hemming, N. G., Hanson, G. N., and Broecker, W. S.: Evidence for a higher pH in the glacial ocean from boron isotopes in foraminifera, Nature, 373, 234–236, https://doi.org/10.1038/373234a0, 1995.
Schwab, C., Kinkel, H., Weinelt, M., and Repschläger, J.: Coccolithophore paleoproductivity and ecology response to deglacial and Holocene changes in the Azores Current System, Paleoceanography, 27, PA3210, https://doi.org/10.1029/2012PA002281, 2012.
Shao, J., Stott, L. D., Gray, W. R., Greenop, R., Pecher, I., Neil, H. L., Coffin, R. B., Davy, B., and Rae, J. W. B.: Atmosphere-Ocean CO2 Exchange Across the Last Deglaciation From the Boron Isotope Proxy, Paleoceanography and Paleoclimatology, 34, 1650–1670, https://doi.org/10.1029/2018PA003498, 2019.
Skinner, L. C., Fallon, S., Waelbroeck, C., Michel, E., and Barker, S.: Ventilation of the Deep Southern Ocean and Deglacial CO2 Rise, Science, 328, 1147–1151, https://doi.org/10.1126/science.1183627, 2010.
Skinner, L. C., Primeau, F., Freeman, E., De La Fuente, M., Goodwin, P. A., Gottschalk, J., Huang, E., McCave, I. N., Noble, T. L., and Scrivner, A. E.: Radiocarbon constraints on the glacial ocean circulation and its impact on atmospheric CO2, Nat. Commun., 8, 1–10, https://doi.org/10.1038/ncomms16010, 2017.
Spratt, R. M. and Lisiecki, L. E.: A Late Pleistocene sea level stack, Clim. Past, 12, 1079–1092, https://doi.org/10.5194/cp-12-1079-2016, 2016.
Stein, R., Hefter, J., Grützner, J., Voelker, A., and Naafs, B. D. A.: Variability of surface water characteristics and Heinrich-like events in the Pleistocene midlatitude North Atlantic Ocean: Biomarker and XRD records from IODP Site U1313 (MIS 16–9), Paleoceanography, 24, PA2203, https://doi.org/10.1029/2008PA001639, 2009.
Stoll, H. M., Guitian, J., Hernandez, I., Mejia, L. M., Phelps, S., Rosenthal, Y., Zhang, H., and Ziveri, P.: Upregulation of phytoplankton carbon concentrating mechanisms during low CO2 glacial periods and implications for the phytoplankton pCO2 proxy, Quaternary Sci. Rev., 208, 1–20, https://doi.org/10.1016/j.quascirev.2019.01.012, 2019.
Takahashi, T., Sutherland, S. C., and Kozyr, A.: Global Ocean Surface Water Partial Pressure of CO2 Database: Measurements performed during 1957–2010 (LDEO Database Version 2010) (NCEI Accession 0160492), NOAA National Centers for Environmental Information [data set], https://cdiac.ess-dive.lbl.gov/ftp/oceans/LDEO_Database/Version_2010/ (last access: 2 March 2022), 2011.
Tremblin, M., Hermoso, M., and Minoletti, F.: Equatorial heat accumulation as a long-term trigger of permanent Antarctic ice sheets during the Cenozoic, P. Natl. Acad. Sci. USA, 113, 11782–11787, https://doi.org/10.1073/pnas.1608100113, 2016.
Tzedakis, P. C., Drysdale, R. N., Margari, V., Skinner, L. C., Menviel, L., Rhodes, R. H., Taschetto, A. S., Hodell, D. A., Crowhurst, S. J., Hellstrom, J. C., Fallick, A. E., Grimalt, J. O., McManus, J. F., Martrat, B., Mokeddem, Z., Parrenin, F., Regattieri, E., Roe, K., and Zanchetta, G.: Enhanced climate instability in the North Atlantic and southern Europe during the Last Interglacial, Nat. Commun., 9, 4235, https://doi.org/10.1038/s41467-018-06683-3, 2018.
Villanueva, J., Grimalt, J. O., Cortijo, E., Vidal, L., and Labeyrie, L.: Assessment of sea surface temperature variations in the central North Atlantic using the alkenone unsaturation index (U), Geochim. Cosmochim. Ac., 62, 2421–2427, https://doi.org/10.1016/S0016-7037(98)00180-X, 1998.
Villanueva, J., Calvo, E., Pelejero, C., Grimalt, J. O., Boelaert, A., and Labeyrie, L.: A latitudinal productivity band in the Central North Atlantic over the last 270 kyr: An alkelone perspective, Paleoceanography, 16, 617–626, https://doi.org/10.1029/2000PA000543, 2001.
Volkman, J. K., Eglinton, G., Corner, E. D. S., and Sargent, J. R.: Novel unsaturated straight-chain C37-C39 methyl and ethyl ketones in marine sediments and a coccolithophore Emiliania huxleyi, Phys. Chem. Earth, 12, 219–227, https://doi.org/10.1016/0079-1946(79)90106-X, 1980.
Winter, A., Rost, B., Hilbrecht, H., and Elbrächter, M.: Vertical and horizontal distribution of coccolithophores in the Caribbean Sea, Geo-Mar. Lett., 22, 150–161, https://doi.org/10.1007/s00367-002-0108-8, 2002.
Zeebe, R. E. and Wolf-Gladrow, D.: CO2 in seawater: equilibrium, kinetics, isotopes, Elsevier Oceanography Book Series, Amsterdam, The Netherlands, 65, 346 pp., ISBN 0-44450946-1, 2001.
Zhang, X., Knorr, G., Lohmann, G., and Barker, S.: Abrupt North Atlantic circulation changes in response to gradual CO2 forcing in a glacial climate state, Nat. Geosci., 10, 518–523, https://doi.org/10.1038/ngeo2974, 2017.
Zhang, Y. G., Pagani, M., Liu, Z., Bohaty, S. M., and DeConto, R.: A 40-million-year history of atmospheric CO2, Philos. T. R. Soc. A, 371, 20130096, https://doi.org/10.1098/rsta.2013.0096, 2013.
Ziveri, P., Stoll, H., Probert, I., Klaas, C., Geisen, M., Ganssen, G., and Young, J.: Stable isotope “vital effects” in coccolith calcite, Earth Planet. Sc. Lett., 210, 137–149, https://doi.org/10.1016/S0012-821X(03)00101-8, 2003.