Abstract
The high-resolution paleoclimate records on the Iberian Margin provide an excellent archive to study the mechanism of abrupt climate events. Previous studies on the Iberian Margin proposed that the surface cooling reconstructed by the alkenone-unsaturation index coincided with surface water freshening inferred from an elevated percentage of tetra-unsaturated alkenones, C37:4%. However, recent data indicate that marine alkenone producers, coccolithophores, do not produce more C37:4 in culture as salinity decreases. Hence, the causes for high C37:4 are still unclear. Here we provide detailed alkenone measurements to trace the producers of alkenones in combination with foraminiferal Mg/Ca and oxygen isotope ratios to trace salinity variations. The results indicate that all alkenones were produced by coccolithophores and the high C37:4% reflects decrease in SST instead of freshening. Furthermore, during the millennial climate changes, a surface freshening did not always trigger a cooling, but sometimes happened in the middle of multiple-stage cooling events and likely amplified the temperature decrease.
Subject terms: Ocean sciences, Climate sciences
Based on reconstructions of sea surface temperature and salinity, the authors find that surface freshening did not always trigger cooling during a millennial climate event on the Iberian Margin.
Introduction
The high sedimentation rate of the Iberian Margin has made it an essential reference for detecting millennial climatic coolings, which characterized the North Atlantic region during glacial periods1–5. In combination with records of abrupt events in Greenland and Antarctic ice cores6, as well as ice-rafted debris (IRD)7, percentages of Neogloboquadrina pachyderma in the higher latitude North Atlantic8 and loess grain size in the Chinese Loess Plateau9, the Iberian margin temperature records elucidate the regional climate response on millennial scales. On centennial to millennial timescales, these abrupt coolings were usually attributed to the superposition of weakened Atlantic Meridional Overturning Circulation (AMOC) on an already cool climate background during glacial10. The reduction of AMOC was often attributed to ice melting and surface freshening in the North Atlantic11, 12, as simulated in numerous “hosing experiments” on coupled ocean-atmosphere models13–15. However, at least in some locations, the temperature decrease preceded the arrival of IRD, suggesting that freshening from collapse of marine-based ice sector may not have been the initial trigger of the AMOC reduction and abrupt cooling8.
The continuous and high-resolution records from alkenones, organic biomarkers produced by three groups of haptophyte16, have provided a detailed view of the interplay of millennial and orbital scale cooling events on the Iberian Margin (Fig. 1). In addition to the lower alkenone unsaturated index (= C37:2/(C37:2 + C37:3)), an indicator of colder sea surface temperature (SST), many stadial events featured a higher percentage of tetra-unsaturated alkenone (C37:4% = C37:4/(C37:4 + C37:3 + C37:2)), which has been variably interpreted as an indicator of the presence of either Arctic-like waters, cold temperatures, or freshening of the surface ocean2–5. If the abundance of tetra-unsaturated alkenone were a proxy of freshening, it would provide a direct way to explore the relationship of freshening with abrupt millennial coolings.
The C37:4 can be produced by all three groups of alkenone producers. The algae of Group 1 live in freshwater lakes in the northern Hemisphere17, 18. Group 2 could be found in brackish, saline lakes, costal region, and sea ice19–21. Group 3 is mainly be composed by marine algae, coccolithophores, including Emiliania huxleyi, Gephyrocapsa spp., and their ancestors, Reticulofenestra spp.22–25. Despite a common interpretation of higher C37:4% as lower salinity in the oceans26,27, however, the impact of salinity on C37:4% is still ambiguous. Positive or no correlation between salinity and C37:4% can be found in culture experiments of alkenone producers in Group 2 and Group 320,28–33. Negative correlations between salinity and C37:4% in the surface sediment of the North Atlantic27,34 and the Baltic Sea35 are mainly caused by changes in the relative contribution of different groups of alkenone producers, due to either sea ice dynamics20 or a large local salinity gradient36. A recent culture study documented that the low temperature and high growth rate could stimulate the production of C37:4 by two Arctic strains of E. huxleyi, challenging the classical explanation of C37:4% as a proxy of salinity.
Consequently, the interpretation of C37:4% and the usage of alkenone thermometers on the Iberian Margin remain uncertain with multiple possible hypotheses. If the high C37:4% is explained as low salinity, it must reflect mixings between Group 1 or Group 2 alkenones and Group 3 alkenones. The mixing explanation of C37:4% would cause a bias in the sea surface temperature reconstructed by the , because the alkenones produced by Group 1 and Group 2 algae may have different than that produced by Group 3 at the same temperature37,38. On the other hand, if the source of alkenone on the Iberian Margin remained stable, as originating from Group 3 producers39, and no physiological response to salinity has been detected in Group 3, what process is responsible for the episodes of higher C37:4% on the Iberian Margin during glacial periods?
To better constrain the mechanism of abrupt climate events, we present a detailed study on the alkenones and surface seawater salinity during the late Marine Isotope Stage (MIS) 6 and the onset of deglaciation, a period with high amplitude C37:4% peaks4, and extensive Eurasian-sourced IRD40. An accurate interpretation of the boundary conditions of late MIS 6 glacial is also relevant to Paleoclimate Modelling Intercomparison Project (PMIP) protocol for the last deglaciation41. During the studied period, two significant C37:4% peaks were detected in multiple sites along the Iberian Margin (Fig. 1b). The one at ~155 ka was named as ‘Mid-MIS 6 event’ (MME) by Margari et al.42 and another at ~133 ka was widely attributed to Heinrich event 11 (HE11). In this study, multiple proxies are utilized to better discern the environmental signals on the Iberian Margin. The fingerprints of alkenones (C37–C39) were carefully examined to identify the producers of alkenones. The alkenone thermometers, , = (C37:2-C37:4)/(C37:2 + C37:3 + C37:4) and = C38:2ME/(C38:2ME + C38:3ME), were calculated and compared with published simulations. The abundance of alkenones as well as coccoliths, carbonate fossils of coccolithophores, was quantified to estimate the paleo productivity. The paired Mg/Ca ratio and oxygen isotope (δ18O) of the carbonate shell of foraminifera were analyzed to estimate seawater oxygen isotope ratios, which could indirectly indicate changes in salinity. These results allow us to refine the interpretation of alkenone proxies and provide clearer constraints on the mechanism of these two millennial events.
Results and discussion
No significant shifts in alkenone producers
Before looking at the paleo-reconstructions, it is necessary first to distinguish the alkenone producers on the Iberian Margin. In this work, the potential source of alkenones was traced by alkenone assemblages (Fig. 2a) because the C37:4% and ratios of unsaturated methyl and ethyl alkenones with 38 carbon atoms (C38ME:C38ET) from different producers are characterized by distinct values36,43. Briefly, the C37:4% of Group 1 is larger than 50%, the C37:4% of Group 2 is ~5–50% (Fig. 2a) and the C37:4% of Group 3 significantly increases in cold water44. The algae in Group 1 usually produce alkenones with the C38ME:C38ET ratios below 0.519,36. The haptophytes in Group 2 produce no or very trace amounts of C38ME, resulting in C38ME:C38ET ratios around zero43. Coccolithophores in Group 3 feature a wider range of C38ME:C38ET45–49 increasing from tropical to high latitude oceans.
The downcore alkenones on the Iberian Margin (red diamonds in Fig. 2a) are characterized by C37:4% ranging from 0% to 9.9% and C38ME:C38ET varying from 0.5 to 0.8 (typical gas chromatographic results are in Supplementary Fig. S1). If the alkenone on the glacial Iberian Margin were mixtures between Group 1/Group 2 and Group 3, analogous to the range of the modern Baltic Sea, then we should observe a negative correlation between C37:4% and C38ME:C38ET as illustrated by the mixing lines in Fig. 2c, d. However, there is a significant positive correlation between C37:4% C38ME:C38ET in our MIS 6 samples when C37:4% is larger than 4% (Pearson correlation, R = 0.92 and p < 0.01, Fig. 2b). This sense of correlation is consistent with C37:4 alkenone variations due to varying proportions of alkenones produced by coccolithophores living in cold water (<10 °C) and those from warmer waters (~15–20 °C). Moreover, the Group 1 alkenone producers can generate double-bond positional isomers for C37:3 and C38:350, which are absent in our samples. This also suggests that the alkenones were not significantly sourced from Group 1 producers. The detailed comparison of the abundance of alkenones (C37–C39) indicates that these alkenones were continually produced by Group 3 producers, coccolithophores.
Polar water invading instead of stronger upwelling
Both lower growth temperature and high growth rate could stimulate the synthesis of C37:4 by coccolithophores39. The upwelling is an important diver of modern coccolithophore productivity and sea surface temperature on the Iberian Margin51. So, the higher C37:4% in the past could be explained as either the arrival of cold surface water without an increase in coccolithophore growth rate or stronger upwelling with increased coccolithophore production. Reconstruction of coccolithophore productivity could distinguish between these alternatives.
Both nannofossils and molecular fossils suggest that the productivity decreased during the high C37:4% periods. The coccolith abundance of alkenone producers decreased sharply during 165–150 ka, from ~5 × 109 g−1 to ~0.5 × 109 g−1, coincident with the increase of C37:4% (Fig. 3a, c). At the same time, the percentage of reworked coccolith increased from less than ~2% to 7% (Fig. 3b). The main reworked nannofossils were the typical Tertiary and late Cretaceous fossils (Supplementary Fig. S3a). In contrast with the percentage, the abundance of reworked coccolith remained stable through the MIS 6 (orange lines in Fig. 3c), which suggested that the increase in the percentage of reworked coccolith was not caused by the increase of supply of reworked carbonate, but by the decrease of coccolithophore productivity. Moreover, both alkenone content and flux support a decreased productivity during the interval of high C37:4% (Fig. 3e). When the C37:4% was higher than 4%, the alkenone flux significantly decreased from ~150 ng cm−2 kyr−1 to only ~30 ng cm−2 kyr−1.
Geochemical evidence also supports our interpretation. The δ18O difference between planktic foraminifera, Globigerina bulloides, and the fine sediment fraction (Δδ18OPF-FF) increased from 3‰ to maximum 7‰ during the higher C37:4% period (Fig. 3d). This increase was mainly caused by the sharp decrease of fine fraction oxygen isotope ratios instead of large variations in foraminifera (Supplementary Fig. S4a). The increase of Δδ18OPF-FF in other Iberian Margin sites has been previously attributed to a significant increase in relative abundance of reworked fine carbonate1. The fine fraction carbonate is mainly composed by in situ coccoliths with similar oxygen isotope ratios as foraminifera, and reworked carbonate from sediments older than the Miocene featuring more negative δ18O (Supplementary Fig. S3b). As part of reworked carbonate, the reworked fossils did not show significant increase in accumulation rate in our sediment. Thus, an increase of Δδ18OPF-FF at our site reflects a decrease of coccolithophore production, and thereby a smaller contribution of coccoliths to fine fraction.
Thus, diverse lines of evidence indicate that marine productivity sharply decreased during the cold events, consistent with previous assessments based on the Florisphaera profunda percentage, alkenone content and Cd/Ca ratio of foraminifera in this site and nearby sites1,52,53. We suggest that the higher C37:4% on the Iberian Margin was controlled by the Polar water invading into the Iberian Margin, which led to lower surface temperatures and decreased coccolithophore productivities.
Difference among alkenone thermometers on the Iberian Margin
Temperature estimations from alkenone unsaturation ratios on the Iberian Margin should be reliable due to the single source from Group 3 producers. SST reconstructions employing , , and , parallel each other and estimate similar absolute temperatures during the interglacial periods (Fig. 4). However, according to the applied core-top calibrations27,54,55, the temperature was ~2–4 °C warmer than the other two in the glacial period. Previous data-model comparisons of millennial temperature changes during MIS 3 suggested that the suffered from warm biases towards summer temperature during glacial times56, since couple ocean-atmosphere models of millennial abrupt coolings triggered by both freshwater hosing and self-oscillations of AMOC simulate larger cooling (~7–10 °C) during these stadials57.
In our IODP U1385 records, the temperature reconstructions based on and feature larger amplitude stadial coolings, more similar to models57, whereas all estimations given by were warmer than simulations (Fig. 4 and Supplementary Fig. S2). Previously, Rosell‐Melé27 proposed that can better reflect the SST in high latitude marine sediment than when the C37:4% was higher than 5%. However, a new core top calibration from regions with only Group 3 alkenones may be required to confidently exploit the additional sensitivity of at cold temperatures, because the existing high latitude North Atlantic core top calibration may be affected by the significant contribution of Group 2i living under sea ice in some regions20. Furthermore, caution must be used when employing in high latitude marine sediments, because the alkenone, C37:4, could be co-eluted with the alkenoate, C36OET, resulting in a ~2–3% higher estimation of C37:4% and cold bias of a few degrees in temperature reconstruction. This bias could be efficiently avoided by employing the gas chromatographic column, RTX-20050, to fully separate the peaks of C37:4 and C36OET.
During some periods of our study, the sea surface temperature trends from alkenone thermometers differ from those estimated from Mg/Ca of G. bulloides (Fig. S5). This has been interpreted to result from the different seasonality of the alkenone and G. bulloides proxies58, 59. Mg/Ca of G. bulloides records temperature during the narrow season window when water column is well-mixed60. In contrast, coccolithophores grow through the whole year on the Iberian Margin61 and alkenone temperature is interpreted to integrate the mean annual temperature.
Taken as a whole, our results suggest that all the three alkenone thermometers can well reflect the timing of abrupt cooling events. The verification of a Group 3 origin of alkenones reopens the possibility to exploit the and thermometers, which under robust calibrations may provide additional information about the amplitude of temperature changes during extreme cold periods.
No freshening at the onset of cooling on the Iberian Margin
Because the Northern Hemisphere continental ice sheets store water of much lower δ18O than the average surface ocean, the decrease of surface water δ18O (δ18Osw) has long been used as an indicator of meltwater-induced freshening of surface ocean62–64. In this work, the δ18Osw was reconstructed by the paired Mg/Ca ratio and δ18O of G. bulloides (Fig. 5a, “Methods”). The δ18Osw during late MIS 6 was dynamic, varying between intermediate values, ~2‰ (VSMOW), and brief intervals of very positive values, ~4‰ which are similar to the Penultimate glacial maximum (Fig. 5a). The intermediate δ18Osw was consistent with simulations of intermediate ice volume during the same period65. From our comparison of δ18Osw and alkenone proxies on the same samples, no significant correlation can be found neither between C37:4% and δ18Osw nor between SST and δ18Osw (Fig. 6a and Supplementary Fig. S6). In contrast, the C37:4% is negatively correlated with alkenone SST (Fig. 6b–d). These comparisons provide further evidence that the C37:4% should not be employed as a direct proxy for salinity on the Iberian Margin, but as a component recording cold temperatures in coccolithophore growth season.
For both the HE11 and MME, multiple stages of cooling can be identified (blue bars in Fig. 5), and these coolings were not always initiated with surface freshening. During the first stage of MME (MME-a in Fig. 5), with the onset of cooling, δ18Osw shifted to positive values indicating increased salinity. Only at the end of this cooling phase there was a negative shift of δ18Osw indicative of freshening (Fig. 5a–c). Similarly, in the second stage of MME (MME-b in Fig. 5), the onset of rapid cooling was accompanied by a positive shift of δ18Osw. A freshening evident in the δ18Osw occurred later, at the end of MME-b event and was followed by the continued cooling through the last stage of MME (MME-c in Fig. 5). Though the data resolution is much lower, the first cooling phase we resolve around HE11 (HE11-a in Fig. 5) was coincident with an increase in salinity indicated by a positive shift in δ18Osw. The subsequent freshening of the termination (HE11-b, c in Fig. 5) was accompanied by a minor and then major cooling, as revealed in high-resolution speleothem records from Northwestern Iberia66.
Implication of abrupt climate events
The abrupt cooling events on the Iberian Margin were generally attributed to a reduction of AMOC intensity, entailing weakened oceanic heat transport and sea ice feedbacks leading to strong winter cooling67–69. A classical explanation of AMOC reduction focused on the freshening from meltwater in the North Atlantic initiating the AMOC decline70–72. However, our records reveal intriguing dynamics in the phasing of changes in δ18Osw and alkenone temperature. Due to age model uncertainties in the correlation of millennial events in marine sediments, the millennial coolings in our record cannot be independently correlated with precision to other marine records in the North Atlantic. Nonetheless, at site ODP 983 during this and other millennial events, the onset of IRD deposition has been shown to lag behind the surface cooling recorded by the percentage of N. pachyderma8. At least in some abrupt events, the freshening of the North Atlantic did not trigger the onset of cooling, but may have amplified the signal through a series of positive feedbacks during the cooling.
There are several explanations for the decoupling of freshening and cooling at the onset of abrupt climate events. The onset of cooling in the absence of regional freshening may be due to ‘unforced’ reductions of AMOC, which are not directly triggered by freshwater. These AMOC oscillations have been found in many coupled ocean-atmosphere-ice models57, 73. Alternatively, some models suggest that the Southern Ocean freshening, instead of North Atlantic, may also play important roles in the dynamics of AMOC74–76.
In the middle of the MME event, we find that freshening began only after a pronounced cooling, consistent with a feedback mechanism proposed by Marcott et al.77. In this mechanism, initial AMOC reduction leads to cooling and significantly expanded sea ice. Then, the growth of sea ice suppresses heat convection between surface and subsurface ocean and results in warming of the subsurface ocean under sea ice77. This subsurface warming is suggested to destabilize marine grounded ice sheets, which leads to larger freshwater fluxes and in favorable circumstances also the distal transport of significant IRD78. While most models of retreat of marine-based ice sheets due to subsurface warming have focused on the Hudson Bay system77,79, it is proposed that during the MME, the IRD may originate from the Eurasian, rather the Hudson Bay, because no significant IRD can be found in the site IODP 1302/3 nor 1308 at this time80. Thus, based on our observations in the MME, similar behaviors of subsurface warming should be explored in models of marine-based sectors of the Eurasian Ice Sheet in the future.
Another diagnostic feature of MME is a weak bipolar seesaw effect. Margari et al.42 observed a strong cooling on the Iberian Margin with a moderate warming in the Antarctic during the MME. This weak bipolar seesaw effect might be explained by the source of melting water, because the reduction of AMOC, which triggers the bipolar seesaw, could be very sensitive to the location of melting water injection81. While the carbon isotope of benthic foraminifera may serve as a general indicator of North Atlantic Deep Water depth or intensity (Fig. 5g), more quantitative proxies for the extent of AMOC reduction during the MME and HE11 are lacking. Some higher resolution Pa/Th records in the future would more fully elucidate this weak bipolar seesaw effect during the MME.
In summary, our detailed investigation of alkenone distribution from C37 through C39, confirms that alkenones on the Iberian Margin were consistently dominated by Group 3 producers over the 170 to 110 ka time intervals. Moreover, the periods of elevated C37:4 abundance on the Iberian Margin should be interpreted as alkenone production generated in extremely cold conditions, but not directly a proxy for surface ocean freshening. We show that millennial events during the MME did not feature freshening as the initiation of abrupt cooling, providing important constraints on the role of freshwater forcing of AMOC variability during this time interval of large Eurasian and North American ice sheets and low glacial CO2.
Methods
Sample selection
In total, 50 samples in the IODP Site 1385D and 1385E were selected for analyses. These samples covered the period from 170 ka to 110 ka in the MIS 6–5 based on the age model calibrated by tuning the benthic oxygen isotope to LR0482. Based on previous studies on alkenones3,4, two significant C37:4% peaks should be found during this period, the early one centered at ~155 ka and the latter at ~132 ka. The one around 155 ka witnessed the highest C37:4% and longest duration of C37:4% abnormal event in the last one million year5 providing an ideal chance to test the source of alkenone and robustness of C37:4% as a salinity proxy.
Alkenone extraction and analyses
About 20–30 g sediment was first freeze-dried. Then, total lipids were extracted from the sediment using an Accelerated Solvent Extraction 350, with a dichloromethane and methanol mixture (5:1) at 100 °C. The hydrocarbon organic, ketone, and polar fractions were separated through silica gel columns and eluted with hexane, dichloromethane, and methanol, respectively. The ketone fraction, containing alkenones, was quantified on a Thermo Scientific Trace 1310 Gas Chromatograph (GC) coupled to a Flame Ionization Detector (FID) by injecting the sample in splitless mode. Chromatographic separation was achieved a Restek capillary column (105 m × 0.25 mm × 0.25 μm) RTX-200 ms, a 5-m guard column, and the following temperature program: 1 min at 50 °C, temperature gradient of 40 °C min−1 to 200 °C, then to 300 °C at 3 °C min−1, held at 300 °C for 40 min, and finally ramped to 320 °C at 10 °C min−1 and held for 5 min. Peaks were identified by comparing each peak’s retention time with that of injected in-house alkenone standards.
Three alkenone-based thermometers are used in this study, , , and . The temperature is estimated by Rosell‐Melé27 calibrations, = −0.39 + 0.046 T (°C). The temperature is transferred by the BAYSPLINE54. The temperature is calculated via the new calibration by Novak et al.55, = 0.016 + 0.032 T (°C).
The alkenone content (AC) was quantified by peak areas in GC-FID. The relationship of peak area and absolute amount was calibrated by alkanes C36–C39 standards in five different concentrations ranging from 15 to 200 ng/μL. Then, the alkenone flux (AF) is calculated by
1 |
where the ρ is dry bulk density of sediment provided by IODP database (web.iodp.tamu.edu) and SR is the linear sedimentary rate calculated from age model. It should be noted that some alkenones had already been consumed during other measurements before quantifications. This could lead to 5% in maximum lower estimation for absolute amount, but the trend of alkenone content and flux should not be modified among samples.
Stable isotope measurements
The raw sediments were filtered by 63 μm mesh to obtain the fine fraction. Based on light microscope observation, this fraction was mainly contributed by the carbonate particles smaller than 20 μm, and crushed foraminifera shells were rare. About 10 planktic foraminifera Globigerina bulloides (250–355 μm) were picked for oxygen and carbon isotope measurement. G. bulloides is selected since its calcification depth is estimated as ~50 m83, and the finding of symbionts in G. bulloides84 further supports a habitat within the euphotic zone. Then, the oxygen and carbon isotope of both foraminifera and fine fraction were measured by a Gas Bench II with an autosampler (CTC Analytics AG, Switzerland) coupled to ConFlow IV Interface and a Delta V Plus mass spectrometer (Thermo Fischer Scientific). The carbon isotope measurements were calibrated using international standards NBS 18 (−5.014‰), NBS 19 (+1.95‰) resulting in analytical errors smaller than 0.1‰ for both carbon and oxygen isotope ratios.
Mg/Ca ratio analyses and δ18Osw estimations
Following previous studies estimating surface water δ18Osw on the Iberian Margin and in the North Atlantic85–87, we use the paired Mg/Ca SST estimates and δ18Ocalcite from G. bulloides to characterize surface ocean freshening. On the Iberian margin, G. bulloides production occurs during periods of well-mixed and nutrient-rich water column (upwelling)88. In the North Atlantic, peak production of G. bulloides is closely coupled to the season of maximum chl-a concentration in surface waters, which occurs later in the year in colder higher latitude regions than in warmer subtropical zone89. In light of this ecology, the temperature recorded by Mg/Ca of G. bulloides tracks the temperature during its peak production season, a single season which may vary during different background states, and which may differ from the more integrated mean annual temperature signal interpreted from , as discussed for the Southern Iberian Margin58. In previous studies, the estimated by G. bulloides is comparable with that estimated by Globigerinoides ruber90,91. Thus, the δ18Osw estimated by G. bulloides can be used to trace the surface water freshening.
About 40 G. bulloides (250–355 μm) were picked for Mg/Ca ratio analyses. The shells were carefully crushed between two glass plates and then cleaned by protocols developed by Barker et al.92 and Pena et al.93. Briefly, the cleaning was achieved by a first clay removal step; a reductive reagent attack to remove potential Mn–Fe oxide contaminant phases; an organic matter attack and a final weak acid leaching. After dissolved in 3 ml of ultra-pure 1% HNO3, the samples were analyzed on an inductively coupled plasma mass spectrometer (ICP-MS, PerkinElmer ELAN 6000) in the Scientific and Technological Centers of the University of Barcelona (CCiT-UB). An in-house high-purity standard solution was measured every four samples. All the data was subsequently corrected using a sample-standard bracketing method. The mean external reproducibility (2σ) for Mg/Ca was 4.00‰. The foraminifera calcification temperature was estimated by a sediment trap based calibration94, which fully considered the in situ calcification temperature in the water column:
2 |
Then, the seawater oxygen isotope (δ18Osw) was estimated by the Mg/Ca-based temperature and foraminifera shell oxygen isotope (δ18Oc)95,96 using the following equation:
3 |
where the is in VPDB and is in VSMOW. The error of δ18Osw was quantified considering the analytical error of Mg/Ca and δ18Oc, as well as the regression error in Mg/Ca-temperature calibration via 10,000 times Monte Carlo simulations.
The derivative of seawater oxygen isotope ratios (dδ18Osw/dt) was calculated using a running window method with a window size of 5 kyr and a window moving step of 0.25 kyr. A linear regression was preformed on δ18Osw data within the same window, and the slope of linear regression is the dδ18Osw/dt for this certain window. For windows contains less than 2 data points, dδ18Osw/dt of these periods are set as zero. The analytical errors of Mg/Ca and δ18Oc were also considered in the dδ18Osw/dt calculations by using 10,000 times Monte Carlo simulations.
Coccolith measurements
Coccolith assemblage counting and abundance estimation were performed on slides made by ‘drop technique’97. At least 200 coccoliths and 10 fields of view were counted in a Zeiss ScopeA1 light microscope equipped with circular polarized light system for the coccolith abundance and accumulation rate analyses. The abundance of coccolith per gram sediment was calculated by the following equation:
4 |
where Ab is the abundance of coccolith (per g of sediment), N is the total number of coccolith counted in the microscope, A is the area of cover slip (24 mm × 24 mm), f is the area of each field of view (0.0266 mm2), n is the number of counted fields of view and w is the weight of dry sediment on the cover slip. The identification of reworked nannofossils was based on the Nannotax3 website. Microscope examination revealed only very limited foraminiferal fragments in fine size fraction.
Supplementary information
Source data
Acknowledgements
This study was supported by the Swiss National Science Foundation (Award 200021_182070 to H.S.) and ETH core funds to H.S. Y.H. acknowledges a sabbatical fellowship from Collegium Helveticum at ETH Zurich. We thank the Integrated Ocean Drilling Program (IODP) for providing the samples. The IODP is sponsored by the US National Science Foundation and participating countries under management of IODP Management International, Inc (IODP-MI). We thank Romain Alosius for assistance with sediment extraction and GC-FID, Madalina Jaggi for oxygen isotopic measurements, Ruigang Ma for helping in identifying reworked fossils, Lili Hu for picking foraminifera, Alexander J. Clark for help in ArcGIS, and Haowen Dang for suggestions in writing.
Author contributions
H.Z. and H.S. designed this study. M.S. extracted the alkenone from bulk sediment. H.Z. and R.W. measured the alkenone with gas chromatograph with help of Y.H. H.Z. measured the oxygen isotope ratios and analyzed the coccolith. I.C. and J.T. analyzed the Mg/Ca ratio of foraminifera. B.W. contributed in providing worldwide surface alkenone data. OK contributed in explanation of background and deep discussions. H.Z. and H.S. wrote the manuscript with contributions from Y.H., R.W., I.C., J.T., M.S., O.K., and B.W.
Peer review
Peer review information
Nature Communications thanks Hiroto Kajita and the other, anonymous, reviewer for their contribution to the peer review of this work. A peer review file is available.
Data availability
Source data of all new measurements are provided with this paper. Source data are provided with this paper.
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.
Supplementary information
The online version contains supplementary material available at 10.1038/s41467-023-41142-8.
References
- 1.Hodell D, et al. Response of Iberian Margin sediments to orbital and suborbital forcing over the past 420 ka. Paleoceanography. 2013;28:185–199. [Google Scholar]
- 2.Bard E, Rostek F, Turon J-L, Gendreau S. Hydrological impact of Heinrich events in the subtropical northeast Atlantic. Science. 2000;289:1321–1324. doi: 10.1126/science.289.5483.1321. [DOI] [PubMed] [Google Scholar]
- 3.Martrat B, et al. Abrupt temperature changes in the Western Mediterranean over the past 250,000 years. Science. 2004;306:1762–1765. doi: 10.1126/science.1101706. [DOI] [PubMed] [Google Scholar]
- 4.Martrat B, et al. Four climate cycles of recurring deep and surface water destabilizations on the Iberian margin. Science. 2007;317:502–507. doi: 10.1126/science.1139994. [DOI] [PubMed] [Google Scholar]
- 5.Rodrigues T, et al. A 1-Ma record of sea surface temperature and extreme cooling events in the North Atlantic: a perspective from the Iberian Margin. Quat. Sci. Rev. 2017;172:118–130. [Google Scholar]
- 6.Margari V, et al. The nature of millennial-scale climate variability during the past two glacial periods. Nat. Geosci. 2010;3:127–131. [Google Scholar]
- 7.Hodell DA, Evans HF, Channell JET, Curtis JH. Phase relationships of North Atlantic ice-rafted debris and surface-deep climate proxies during the last glacial period. Quat. Sci. Rev. 2010;29:3875–3886. [Google Scholar]
- 8.Barker S, et al. Icebergs not the trigger for North Atlantic cold events. Nature. 2015;520:333–336. doi: 10.1038/nature14330. [DOI] [PubMed] [Google Scholar]
- 9.Sun Y, et al. Persistent orbital influence on millennial climate variability through the Pleistocene. Nat. Geosci. 2021;14:812–818. [Google Scholar]
- 10.Jackson L, et al. Global and European climate impacts of a slowdown of the AMOC in a high resolution GCM. Clim. Dyn. 2015;45:3299–3316. [Google Scholar]
- 11.Bond GC, Lotti R. Iceberg discharges into the North Atlantic on millennial time scales during the last glaciation. Science. 1995;267:1005–1010. doi: 10.1126/science.267.5200.1005. [DOI] [PubMed] [Google Scholar]
- 12.Alley RB, Clark PU, Huybrechts P, Joughin I. Ice-sheet and sea-level changes. science. 2005;310:456–460. doi: 10.1126/science.1114613. [DOI] [PubMed] [Google Scholar]
- 13.Rahmstorf S. Rapid climate transitions in a coupled ocean–atmosphere model. Nature. 1994;372:82–85. [Google Scholar]
- 14.He, C. et al. North Atlantic subsurface temperature response controlled by effective freshwater input in “Heinrich” events. Earth Planet. Sci. Lett.539, 10.1016/j.epsl.2020.116247 (2020).
- 15.Liu Z, et al. Transient simulation of last deglaciation with a new mechanism for Bølling-Allerød warming. science. 2009;325:310–314. doi: 10.1126/science.1171041. [DOI] [PubMed] [Google Scholar]
- 16.Theroux S, D’Andrea WJ, Toney J, Amaral-Zettler L, Huang Y. Phylogenetic diversity and evolutionary relatedness of alkenone-producing haptophyte algae in lakes: implications for continental paleotemperature reconstructions. Earth Planet. Sci. Lett. 2010;300:311–320. [Google Scholar]
- 17.Richter N, et al. Phylogenetic diversity in freshwater‐dwelling Isochrysidales haptophytes with implications for alkenone production. Geobiology. 2019;17:272–280. doi: 10.1111/gbi.12330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wang L, Yao Y, Huang Y, Cai Y, Cheng H. Group 1 phylogeny and alkenone distributions in a freshwater volcanic lake of northeastern China: Implications for paleotemperature reconstructions. Org. Geochem. 2022;172:104483. [Google Scholar]
- 19.Longo WM, et al. Temperature calibration and phylogenetically distinct distributions for freshwater alkenones: evidence from northern Alaskan lakes. Geochim. Cosmochim. Acta. 2016;180:177–196. [Google Scholar]
- 20.Wang KJ, et al. Group 2i Isochrysidales produce characteristic alkenones reflecting sea ice distribution. Nat. Commun. 2021;12:15. doi: 10.1038/s41467-020-20187-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yao Y, et al. Phylogeny, alkenone profiles and ecology of Isochrysidales subclades in saline lakes: Implications for paleosalinity and paleotemperature reconstructions. Geochim. Cosmochim. Acta. 2022;317:472–487. [Google Scholar]
- 22.Brassell SC. Climatic influences on the Paleogene evolution of alkenones. Paleoceanography. 2014;29:255–272. [Google Scholar]
- 23.Marlowe I, Brassell S, Eglinton G, Green J. Long-chain alkenones and alkyl alkenoates and the fossil coccolith record of marine sediments. Chem. Geol. 1990;88:349–375. [Google Scholar]
- 24.Plancq, J., Grossi, V., Henderiks, J., Simon, L. & Mattioli, E. Alkenone producers during late Oligocene-early Miocene revisited. Paleoceanography27, 10.1029/2011pa002164 (2012).
- 25.Volkman JK, Eglinton G, CoRNER ED, Forsberg T. Long-chain alkenes and alkenones in the marine coccolithophorid Emiliania huxleyi. Phytochemistry. 1980;19:2619–2622. [Google Scholar]
- 26.Seki, O. Decreased surface salinity in the Sea of Okhotsk during the last glacial period estimated from alkenones. Geophys. Res. Lett.32, 10.1029/2004gl022177 (2005).
- 27.Rosell‐Melé A. Interhemispheric appraisal of the value of alkenone indices as temperature and salinity proxies in high‐latitude locations. Paleoceanography. 1998;13:694–703. [Google Scholar]
- 28.Ono M, Sawada K, Shiraiwa Y, Kubota M. Changes in alkenone and alkenoate distributions during acclimatization to salinity change in Isochrysis galbana: Implication for alkenone-based paleosalinity and paleothermometry. Geochemical J. 2012;46:235–247. [Google Scholar]
- 29.Chivall D, et al. Impact of salinity and growth phase on alkenone distributions in coastal haptophytes. Org. Geochem. 2014;67:31–34. [Google Scholar]
- 30.Conte MH, Thompson A, Lesley D, Harris RP. Genetic and physiological influences on the alkenone/alkenoate versus growth temperature relationship in Emiliania huxleyi and Gephyrocapsa oceanica. Geochim. Cosmochim. Acta. 1998;62:51–68. [Google Scholar]
- 31.Volkman JK, Barrerr SM, Blackburn SI, Sikes EL. Alkenones in Gephyrocapsa oceanica: Implications for studies of paleoclimate. Geochim. Cosmochim. Acta. 1995;59:513–520. [Google Scholar]
- 32.Ono M, Sawada K, Kubota M, Shiraiwa Y. Change of the unsaturation degree of alkenone and alkenoate during acclimation to salinity change in Emiliania huxleyi and Gephyrocapsa oceanica with reference to palaeosalinity indicator. Res. Org. Geochem. 2009;25:53–60. [Google Scholar]
- 33.Liao, S. & Huang, Y. Group 2i Isochrysidales flourishes at exceedingly low growth temperatures (0 to 6 °C). Organic Geochemistry174, 10.1016/j.orggeochem.2022.104512 (2022).
- 34.Sicre, M.-A., Bard, E., Ezat, U. & Rostek, F. Alkenone distributions in the North Atlantic and Nordic sea surface waters. Geochem. Geophys. Geosyst.3, 10.1029/2001gc000159 (2002).
- 35.Blanz T, Emeis K-C, Siegel H. Controls on alkenone unsaturation ratios along the salinity gradient between the open ocean and the Baltic Sea. Geochim. Cosmochim. Acta. 2005;69:3589–3600. [Google Scholar]
- 36.Kaiser J, et al. Changes in long chain alkenone distributions and Isochrysidales groups along the Baltic Sea salinity gradient. Org. Geochem. 2019;127:92–103. [Google Scholar]
- 37.D’Andrea WJ, Theroux S, Bradley RS, Huang X. Does phylogeny control U37K-temperature sensitivity? Implications for lacustrine alkenone paleothermometry. Geochim. Cosmochim. Acta. 2016;175:168–180. [Google Scholar]
- 38.Zheng Y, Huang Y, Andersen RA, Amaral-Zettler LA. Excluding the di-unsaturated alkenone in the UK37 index strengthens temperature correlation for the common lacustrine and brackish-water haptophytes. Geochim. Cosmochim. Acta. 2016;175:36–46. [Google Scholar]
- 39.Liao, S., Wang, K. J. & Huang, Y. Unusually high production of C37:4 alkenone by an Arctic Gephyrocapsa huxleyi strain grown under nutrient-replete conditions. Org. Geochem.10.1016/j.orggeochem.2022.104539 (2022).
- 40.Boswell SM, et al. Enhanced surface melting of the Fennoscandian Ice Sheet during periods of North Atlantic cooling. Geology. 2019;47:664–668. [Google Scholar]
- 41.Menviel L, et al. The penultimate deglaciation: protocol for Paleoclimate Modelling Intercomparison Project (PMIP) phase 4 transient numerical simulations between 140 and 127 ka, version 1.0. Geoscientific Model Dev. 2019;12:3649–3685. [Google Scholar]
- 42.Margari V, et al. Land-ocean changes on orbital and millennial time scales and the penultimate glaciation. Geology. 2014;42:183–186. [Google Scholar]
- 43.Huang, Y., Zheng, Y., Heng, P., Giosan, L. & Coolen, M. J. L. Black Sea paleosalinity evolution since the last deglaciation reconstructed from alkenone-inferred Isochrysidales diversity. Earth Planet. Sci. Lett.564, 10.1016/j.epsl.2021.116881 (2021).
- 44.Sikes EL, Sicre M-A. Relationship of the tetra-unsaturated C37alkenone to salinity and temperature: Implications for paleoproxy applications. Geochem. Geophys. Geosyst. 2002;3:1–11. [Google Scholar]
- 45.Ohkouchi N, Kawamura K, Kawahata H, Okada H. Depth ranges of alkenone production in the central Pacific Ocean. Glob. Biogeochem. Cycles. 1999;13:695–704. [Google Scholar]
- 46.Fujine K, Yamamoto M, Tada R. Data Report: Alkenone compounds and major element composition in late quaternary hemipelagic sediments from ODP Site 1151 off Sanriku, Northern Japan. Proc. Ocean Drill. Program, Sci. Results. 2003;186:1–12. [Google Scholar]
- 47.Sikes EL, Volkman JK, Robertson LG, Pichon J-J. Alkenones and alkenes in surface waters and sediments of the Southern Ocean: Implications for paleotemperature estimation in polar regions. Geochim. Cosmochim. Acta. 1997;61:1495–1505. [Google Scholar]
- 48.Weiss GM, Schouten S, Damsté JSS, van der Meer MT. Constraining the application of hydrogen isotopic composition of alkenones as a salinity proxy using marine surface sediments. Geochim. Cosmochim. Acta. 2019;250:34–48. [Google Scholar]
- 49.Wei B, et al. Comparison of the UK′37, LDI, TEX 86 H, and RI-OH temperature proxies in sediments from the northern shelf of the South China Sea. Biogeosciences. 2020;17:4489–4508. [Google Scholar]
- 50.Zheng Y, Tarozo R, Huang Y. Optimizing chromatographic resolution for simultaneous quantification of long chain alkenones, alkenoates and their double bond positional isomers. Org. Geochem. 2017;111:136–143. [Google Scholar]
- 51.Ausín B, Hodell DA, Cutmore A, Eglinton TI. The impact of abrupt deglacial climate variability on productivity and upwelling on the southwestern Iberian margin. Quat. Sci. Rev. 2020;230:106139. [Google Scholar]
- 52.Incarbona, A. et al. Primary productivity variability on the Atlantic Iberian Margin over the last 70,000 years: Evidence from coccolithophores and fossil organic compounds. Paleoceanography25, 10.1029/2008pa001709 (2010).
- 53.Patton GM, Martin PA, Voelker A, Salgueiro E. Multiproxy comparison of oceanographic temperature during Heinrich Events in the eastern subtropical Atlantic. Earth Planet. Sci. Lett. 2011;310:45–58. [Google Scholar]
- 54.Tierney JE, Tingley MP. BAYSPLINE: a new calibration for the alkenone paleothermometer. Paleoceanogr. Paleoclimatology. 2018;33:281–301. [Google Scholar]
- 55.Novak J, et al. UK′38ME Expands the linear dynamic range of the alkenone sea surface temperature proxy. Geochim. Cosmochim. Acta. 2022;328:207–220. [Google Scholar]
- 56.Darfeuil S, et al. Sea surface temperature reconstructions over the last 70 kyr off Portugal: Biomarker data and regional modeling. Paleoceanography. 2016;31:40–65. [Google Scholar]
- 57.Pedro, J. B. et al. Dansgaard-Oeschger and Heinrich event temperature anomalies in the North Atlantic set by sea ice, frontal position and thermocline structure. Quat. Sci. Rev.289, 10.1016/j.quascirev.2022.107599 (2022).
- 58.Català A, Cacho I, Frigola J, Pena LD, Lirer F. Holocene hydrography evolution in the Alboran Sea: a multi-record and multi-proxy comparison. Climate. 2019;15:927–942. [Google Scholar]
- 59.Jiménez‐Amat P, Zahn R. Offset timing of climate oscillations during the last two glacial‐interglacial transitions connected with large‐scale freshwater perturbation. Paleoceanography. 2015;30:768–788. [Google Scholar]
- 60.Cisneros M, et al. Sea surface temperature variability in the central-western Mediterranean Sea during the last 2700 years: a multi-proxy and multi-record approach. Climate. 2016;12:849–869. [Google Scholar]
- 61.Ausín B, et al. Spatial and temporal variability in coccolithophore abundance and distribution in the NW Iberian coastal upwelling system. Biogeosciences. 2018;15:245–262. [Google Scholar]
- 62.Duplessy J, Bard E, Labeyrie L, Duprat J, Moyes J. Oxygen isotope records and salinity changes in the northeastern Atlantic Ocean during the last 18,000 years. Paleoceanography. 1993;8:341–350. [Google Scholar]
- 63.Peck VL, et al. High resolution evidence for linkages between NW European ice sheet instability and Atlantic Meridional Overturning Circulation. Earth Planet. Sci. Lett. 2006;243:476–488. [Google Scholar]
- 64.Azibeiro LA, et al. Meltwater flux from northern ice-sheets to the Mediterranean during MIS 12. Quat. Sci. Rev. 2021;268:107108. [Google Scholar]
- 65.Ganopolski A, Brovkin V. Simulation of climate, ice sheets and CO2 evolution during the last four glacial cycles with an Earth system model of intermediate complexity. Climate. 2017;13:1695–1716. [Google Scholar]
- 66.Stoll HM, et al. Rapid northern hemisphere ice sheet melting during the penultimate deglaciation. Nat. Commun. 2022;13:3819. doi: 10.1038/s41467-022-31619-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Stocker, T. F. & Johnsen, S. J. A minimum thermodynamic model for the bipolar seesaw. Paleoceanography18, 10.1029/2003pa000920 (2003).
- 68.Swingedouw D, Fichefet T, Goosse H, Loutre M-F. Impact of transient freshwater releases in the Southern Ocean on the AMOC and climate. Clim. Dyn. 2009;33:365–381. [Google Scholar]
- 69.Marino G, et al. Bipolar seesaw control on last interglacial sea level. Nature. 2015;522:197–201. doi: 10.1038/nature14499. [DOI] [PubMed] [Google Scholar]
- 70.Otterå, O. H., Drange, H., Bentsen, M., Kvamstø, N. G. & Jiang, D. The sensitivity of the present‐day Atlantic meridional overturning circulation to freshwater forcing. Geophys. Res. Lett.30, 10.1029/2003GL017578 (2003).
- 71.Stouffer RJ, et al. Investigating the causes of the response of the thermohaline circulation to past and future climate changes. J. Clim. 2006;19:1365–1387. [Google Scholar]
- 72.Kageyama M, et al. Climatic impacts of fresh water hosing under Last Glacial Maximum conditions: a multi-model study. Climate. 2013;9:935–953. [Google Scholar]
- 73.Zhang X, et al. Direct astronomical influence on abrupt climate variability. Nat. Geosci. 2021;14:819–826. [Google Scholar]
- 74.Dima, M., Lohmann, G. & Knorr, G. North Atlantic versus global control on Dansgaard‐Oeschger events. Geophys. Res. Lett.45, 10.1029/2018gl080035 (2018).
- 75.Obase T, Abe‐Ouchi A. Abrupt Bølling‐Allerød warming simulated under gradual forcing of the last deglaciation. Geophys. Res. Lett. 2019;46:11397–11405. [Google Scholar]
- 76.Galbraith E, de Lavergne C. Response of a comprehensive climate model to a broad range of external forcings: relevance for deep ocean ventilation and the development of late Cenozoic ice ages. Clim. Dyn. 2019;52:653–679. [Google Scholar]
- 77.Marcott SA, et al. Ice-shelf collapse from subsurface warming as a trigger for Heinrich events. Proc. Natl Acad. Sci. USA. 2011;108:13415–13419. doi: 10.1073/pnas.1104772108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Max L, Nurnberg D, Chiessi CM, Lenz MM, Mulitza S. Subsurface ocean warming preceded Heinrich Events. Nat. Commun. 2022;13:4217. doi: 10.1038/s41467-022-31754-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Alvarez-Solas J, Robinson A, Montoya M, Ritz C. Iceberg discharges of the last glacial period driven by oceanic circulation changes. Proc. Natl Acad. Sci. USA. 2013;110:16350–16354. doi: 10.1073/pnas.1306622110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Channell JET, et al. A 750-kyr detrital-layer stratigraphy for the North Atlantic (IODP Sites U1302–U1303, Orphan Knoll, Labrador Sea) Earth Planet. Sci. Lett. 2012;317–318:218–230. [Google Scholar]
- 81.Smith, R. S. & Gregory, J. M. A study of the sensitivity of ocean overturning circulation and climate to freshwater input in different regions of the North Atlantic. Geophys. Res. Lett.36, 10.1029/2009gl038607 (2009).
- 82.Hodell D, et al. A reference time scale for Site U1385 (Shackleton Site) on the SW Iberian Margin. Glob. Planet. Change. 2015;133:49–64. [Google Scholar]
- 83.Ganssen G, Kroon D. The isotopic signature of planktonic foraminifera from NE Atlantic surface sediments: implications for the reconstruction of past oceanic conditions. J. Geol. Soc. 2000;157:693–699. [Google Scholar]
- 84.Bird C, et al. Cyanobacterial endobionts within a major marine planktonic calcifier (Globigerina bulloides, Foraminifera) revealed by 16S rRNA metabarcoding. Biogeosciences. 2017;14:901–920. [Google Scholar]
- 85.Thornalley DJ, Elderfield H, McCave IN. Reconstructing North Atlantic deglacial surface hydrography and its link to the Atlantic overturning circulation. Glob. Planet. Change. 2011;79:163–175. [Google Scholar]
- 86.Repschläger J, et al. Response of the subtropical North Atlantic surface hydrography on deglacial and Holocene AMOC changes. Paleoceanography. 2015;30:456–476. [Google Scholar]
- 87.Farmer EJ, Chapman MR, Andrews JE. Holocene temperature evolution of the subpolar North Atlantic recorded in the Mg/Ca ratios of surface and thermocline dwelling planktonic foraminifers. Glob. Planet. Change. 2011;79:234–243. [Google Scholar]
- 88.Salgueiro E, et al. Planktonic foraminifera from modern sediments reflect upwelling patterns off Iberia: Insights from a regional transfer function. Mar. Micropaleontol. 2008;66:135–164. [Google Scholar]
- 89.Jonkers L, Kučera M. Global analysis of seasonality in the shell flux of extant planktonic Foraminifera. Biogeosciences. 2015;12:2207–2226. [Google Scholar]
- 90.Anand, P. et al. Coupled sea surface temperature–seawater δ18O reconstructions in the Arabian Sea at the millennial scale for the last 35 ka. Paleoceanography23 (2008).
- 91.Elderfield H, Ganssen G. Past temperature and δ18O of surface ocean waters inferred from foraminiferal Mg/Ca ratios. Nature. 2000;405:442–445. doi: 10.1038/35013033. [DOI] [PubMed] [Google Scholar]
- 92.Barker, S., Greaves, M. & Elderfield, H. A study of cleaning procedures used for foraminiferal Mg/Ca paleothermometry. Geochem. Geophys. Geosyst.4, 10.1029/2003GC000559 (2003).
- 93.Pena, L., Calvo, E., Cacho, I., Eggins, S. & Pelejero, C. Identification and removal of Mn‐Mg‐rich contaminant phases on foraminiferal tests: Implications for Mg/Ca past temperature reconstructions. Geochem. Geophys. Geosyst.6, 10.1029/2005GC000930 (2005).
- 94.Marr, J. P. et al. Ecological and temperature controls on Mg/Ca ratios of Globigerina bulloides from the southwest Pacific Ocean. Paleoceanography26, 10.1029/2010pa002059 (2011).
- 95.Shackleton N. Attainment of isotopic equilibrium between ocean water and the benthonic foraminifera genus. Colloq. Int. CNRS. 1974;219:203–209. [Google Scholar]
- 96.O’Neil JR, Clayton RN, Mayeda TK. Oxygen isotope fractionation in divalent metal carbonates. J. Chem. Phys. 1969;51:5547–5558. [Google Scholar]
- 97.Bordiga M, Bartol M, Henderiks J. Absolute nannofossil abundance estimates: quantifying the pros and cons of different techniques. Rev. Micropaléontol. 2015;58:155–165. [Google Scholar]
- 98.Batchelor CL, et al. The configuration of Northern Hemisphere ice sheets through the Quaternary. Nat. Commun. 2019;10:3713. doi: 10.1038/s41467-019-11601-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Toucanne S, et al. Timing of massive ‘Fleuve Manche’ discharges over the last 350kyr: insights into the European ice-sheet oscillations and the European drainage network from MIS 10 to 2. Quat. Sci. Rev. 2009;28:1238–1256. [Google Scholar]
- 100.Warden L, van der Meer MT, Moros M, Damsté JSS. Sedimentary alkenone distributions reflect salinity changes in the Baltic Sea over the Holocene. Org. Geochem. 2016;102:30–44. [Google Scholar]
- 101.Schöner, A. C. Alkenone in Ostseesedimenten, -schwebstoffen und-algen: Indikatoren für das Paläomilieu? (Institut für Ostseeforschung Warnemünde, 2001).
- 102.Schulz H-M, Schöner A, Emeis K-C. Long-chain alkenone patterns in the Baltic Sea—an ocean-freshwater transition. Geochim. Cosmochim. Acta. 2000;64:469–477. [Google Scholar]
- 103.Cacho I, Pelejero C, Grimalt JO, Calafat A, Canals M. C37 alkenone measurements of sea surface temperature in the Gulf of Lions (NW Mediterranean) Org. Geochem. 1999;30:557–566. [Google Scholar]
- 104.Torner J, et al. Ocean-atmosphere interconnections from the last interglacial to the early glacial: an integration of marine and cave records in the Iberian region. Quat. Sci. Rev. 2019;226:106037. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Source data of all new measurements are provided with this paper. Source data are provided with this paper.