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# Exceptionally high biosphere productivity at the beginning of Marine Isotopic Stage 11

## Abstract

Significant changes in atmospheric CO2 over glacial-interglacial cycles have mainly been attributed to the Southern Ocean through physical and biological processes. However, little is known about the contribution of global biosphere productivity, associated with important CO2 fluxes. Here we present the first high resolution record of Δ17O of O2 in the Antarctic EPICA Dome C ice core over Termination V and Marine Isotopic Stage (MIS) 11 and reconstruct the global oxygen biosphere productivity over the last 445 ka. Our data show that compared to the younger terminations, biosphere productivity at the end of Termination V is 10 to 30 % higher. Comparisons with local palaeo observations suggest that strong terrestrial productivity in a context of low eccentricity might explain this pattern. We propose that higher biosphere productivity could have maintained low atmospheric CO2 at the beginning of MIS 11, thus highlighting its control on the global climate during Termination V.

## Introduction

The largest pre-anthropogenic changes in atmospheric CO2 concentration of the last 800,000 years are observed during deglaciations, with increases of up to 100 ppm in a few thousand years1. Oceanic carbon reservoir is broadly suspected to play a central role in these atmospheric CO2 increases. Leading hypotheses invoke CO2 degassing from the ocean induced by more vigorous convection2 and concomitant decrease of the net organic matter export in the Southern Ocean3, enhanced exchanges between ocean surface and atmosphere due to sea-ice melting4, and increased sea-surface temperature5. Modelling studies simulating changes in oceanic processes are quite controversial6,7 but in all cases, they are not able to explain the full increase of atmospheric CO2 rises during deglaciations. In parallel, terrestrial primary productivity and carbon stocks increase during deglaciations, thus acting as a significant CO2 land sink8,9 so that an important additional source of CO2 is required to explain the entire deglacial CO2 pattern.

Quantifying changes in the carbon cycle over deglaciations relies on data compilation and modelling studies to estimate both carbon stocks and carbon fluxes8. Some information on carbon stocks can be obtained from δ13C of carbonates using a wealth of data obtained from marine sediments10 and δ13C of atmospheric CO211,12. In parallel, information on the evolution of past global productivity, a major component of carbon flux, is very sparse and often limited to the last deglaciation8,9.

In the ocean, past changes in biological carbon pump are best represented by changes in buried organic biomarkers combined with marine Total Organic Carbon/Particulate Inorganic Carbon ratio (TOC/CaCO3), suggested to reflect the C-rain ratio13. However, despite their accuracy to provide biological export production, only one site combine such records in the Southern Ocean, for the last 800 ka, so far14.

On continents, pollen counting and sedimentary TOC are useful for biosphere productivity reconstruction15,16 but they are unfortunately indirect and rely on the use of biosphere models9. Moreover, similarly to oceanic records, these observations provide regional records that are not easy to use for documenting the past global carbon cycle. Ciais et al.8 proposed to use the isotopic composition of oxygen of atmosphere (δ18Oatm) as a tracer for terrestrial biosphere productivity. However, this proxy is a complex tracer being influenced by hydrological cycle at first order17,18 and its use as a quantitative tool for productivity reconstruction depends on the exact determination of associated fractionation factors in the water and biosphere cycles19.

A total estimate of the global biospheric fluxes and their temporal variations can be obtained more directly from measurements of Δ17O of O2 (ln(δ17O + 1)−0.516*ln(δ18O + 1)) in ice cores20,21,22. This method provides O2 fluxes and the conversion from O2 to CO2 fluxes can be done from the stoichiometry of the biological processes of photosynthesis and respiration23. Δ17O of O2 measures the variation of the triple isotopic composition of atmospheric O2 with respect to modern oxygen so that by definition, Δ17O of O2 is nil today. Previous experimental studies showed that Δ17O of O2 increases in a closed biospheric system when the exchanges with the stratosphere are prevented: the biological productivity leads to Δ17O of O2 increase while photochemical reactions occurring in the stratosphere have the effect of decreasing Δ17O of O220. For paleoproductivity reconstructions, measurements of the evolution of Δ17O of O2 in ancient air trapped in the Vostok and GISP2 ice cores already provided information on the evolution of global biosphere productivity, over the last 400 ka21,22. The results show a systematic larger productivity during interglacial than during glacial periods with interglacial levels remaining close to the current biosphere productivity.

Over the last nine deglaciations, Termination V (433–426 ka on ice core records on the latest AICC2012 chronology24) is probably the most intriguing. This Termination is framed by the particularly long and strong glacial Marine Isotopic Stage 12 (MIS 12), followed by the long and warm interglacial MIS 11 (426–398 ka on AICC2012). This is the first Termination after the Mid-Brunhes event marking a fundamental change in the climate system from mild to warm periods with associated lower to higher CO2 concentrations. Termination V is also occurring in a particular orbital context of low eccentricity, which is known to have an influence on the carbon cycle as observed in δ13C oceanic records25. On the continents, pollen data16,26 suggest a strong and long increase in terrestrial productivity during MIS 11. In the Ocean, MIS 11 displays an unusual increase in carbonate storage in low27 and high-latitude environments28. Yet, while it is clearly associated with a major phase in coral reef expansion29 and a climax in calcareous phytoplankton productivity respectively30, the impact of this large carbonate production on atmospheric pCO2 is not understood. Therefore, the biosphere productivity fluxes during Termination V and MIS 11 need to be investigated.

Here we present the first measurements of the triple isotopic composition of atmospheric oxygen (Δ17O of O2) in the Antarctic EPICA Dome C ice core over Termination V. Using these measurements and new correction factors compared to the previous record of Blunier et al.22, we reconstruct the oxygen fluxes associated with biosphere productivity over this particularly strong Termination. The biosphere productivity over Termination V and the beginning of MIS 11 is found to be 10–30% higher than productivity over the pre-industrial period, an exceptional value never encountered over the last four interglacial periods. The ice core δ18Oatm (or δ18O of O2) record, and terrestrial and oceanic records related to biosphere productivity are used to discuss the relative contribution of changes in oceanic vs terrestrial biosphere fluxes to the atmospheric CO2 rise during Termination V. We show that this productivity peak is most probably due to an increase of the terrestrial productivity during this period favoured by a particular context of low eccentricity. We propose that such strong productivity occurring concomitantly with an exceptional productivity carbonate peak in the marine realm, plays a role in maintaining the CO2 level at a relatively low level at the beginning of MIS 11.

## Results

### Record of Δ17O of O2 during Termination V

The Antarctic EPICA Dome C (EDC) ice core (75°06′S; 123°21′E, 3233 m above sea level) covers the last 800 ka. We measured Δ17O of O2 over the depth range 2735–2797 m, corresponding to an age between 405.7 and 444.1 ka with an average resolution of 780 years (50 samples) (Fig. 1). The raw data were corrected for several effects (Methods): values of the atmospheric air Δ17O of O2 were obtained by corrections for gravitational fractionation, air bubble trapping fractionation and gas loss fractionation. Compared to the previous records20,21,22, several corrections were addressed for the first time here (gas loss and air bubble trapping effects, see Supplementary Table 1). To check the coherency between the previous records that did not take into account these corrections, and the new one obtained on EDC, we measured Δ17O of O2 over Termination II on the EDC ice core and compared our corrected Δ17O of O2 curve with the previous record obtained by Blunier et al.22 on the Vostok ice core (Fig. 1). The two records are in agreement, displaying the same 51 ppm decrease over Termination II without any shift in the mean Δ17O of O2 value because of compensating effects in the different corrections (see Methods). We thus conclude that our new record over Termination V can directly be used to complete the previous Δ17O of O2 record from Blunier et al.22 and provide a full record of Δ17O of O2 over the last five deglaciations.

Termination V displays a decrease in Δ17O of O2 (56 ppm) of similar amplitude than the younger deglaciations (53, 35, 51 and 55 ppm for Terminations IV, III, II and I, respectively). The main difference with previous terminations is on the duration and timing of the Δ17O of O2 decreases. For the four youngest terminations, the Δ17O of O2 decreases are in parallel to the CO2 increases21,22. Over Termination V, the main decrease of Δ17O of O2 is more than twice as long as the CO2 increase (from 434.8 to 410.2 ka and from 434.8 to 424.8 ka, i.e. 24.6 ka and 10 ka respectively, Fig. 2). This result contrasts with previous studies covering the last four deglaciations21,22 where decrease of Δ17O of O2 and increase of atmospheric CO2 concentration are synchronous (Supplementary Fig. 1).

Focusing on the last five deglaciations, only two cases can be identified with a significant deviation between the CO2 and the Δ17O of O2 evolutions during the deglaciations (red arrows on Fig. 2): the first case at the very end of Termination III, between 240 and 245 ka, when the short peak in atmospheric CO2 concentration does not correspond to a sharp decrease in Δ17O of O2 and the second case over Termination V, between 430 and 415 ka, when the maximum in CO2 concentration is reached at 425 ka, more than 10 ka before the minimum in Δ17O of O2 recorded at 415 ka. Contrary to the case of Termination III where the deviation of the Δ17O of O2 signal from the CO2 optimum is only based on three points, the mismatch between CO2 and Δ17O of O2 evolutions over Termination V relies on 40 data points of Δ17O of O2. When looking at the anticorrelation between Δ17O of O2 and CO2 evolutions over the last five deglaciations, Termination V stands out with a significantly much lower slope for the relationship between Δ17O of O2 and CO2 than the last four Terminations (Supplementary Fig. 1). In addition, to highlight the specificity of Termination V, our new data hence show that the systematic use of Δ17O of O2 to infer CO2 values when CO2 measurements are not available31 is not always a valid approach (Supplementary Fig. 1).

The general anti-correlations between CO2 and Δ17O of O2 over terminations are explained at first order by stratospheric reactions. These reactions are leading to formation of ozone from the dioxygen reservoir and are associated with mass independent isotopic fractionations. These fractionations lead to an isotopic anomaly of ozone that can be transmitted to CO2. There is eventually a correspondence between the Δ17O of CO2 and the Δ17O of O2, and it has been assumed that this anomaly transmission is rate-limited by the abundance of CO220. As a consequence, an increase in CO2 in the absence of changes in biosphere productivity should be associated with a decrease in Δ17O of O2. The increase of biosphere productivity comes as an opposite effect: it produces oxygen with mass dependent isotopic fractionation which has the effect of increasing Δ17O of O2. The similar CO2 and Δ17O of O2 anticorrelation observed over the latest terminations is hence an indication that biosphere productivity variations are parallel to the variations of atmospheric concentration in CO2 and that a constant relationship exists between the amplitudes of biosphere productivity variations and the amplitudes of atmospheric CO2 variations. As a consequence, the deviation of the classical CO2 vs Δ17O of O2 anticorrelation toward unexpectedly high Δ17O of O2 values should be interpreted as an anomalous increase in biosphere productivity compared to the situation for other terminations. We thus propose that the anomalously strong difference in the CO2 and Δ17O of O2 evolutions over the first part of MIS 11 at the end of Termination V is associated with a stronger biosphere productivity compared to the onset of the 4 last interglacial periods. We are aware that alternative possibilities can be suggested such as a decrease in the stratospheric ozone in agreement with relatively high N2O atmospheric concentration (sink of ozone) during MIS 1132. However, similarly high N2O atmospheric concentration is observed over the first part of MIS 9 without associated decoupling between atmospheric CO2 increase and Δ17O of O2 decrease. In the following, we thus favour the interpretation in terms of an anomalous change of paleoproductivity during Termination V compared to younger terminations.

### Reconstruction of the global oxygen biosphere productivity

For a more quantitative reconstruction of paleoproductivity based on the classical use of Δ17O of O2, we followed the approach detailed in Landais et al.33 which relies on estimates of the Δ17O of O2 values produced by the terrestrial and oceanic biospheres. Such values are based on previously determined values of oxygen fractionation coefficients for the different biologic processes of oxygen uptake and production34. Because of different proportions of C3 vs C4 plants or terrestrial vs oceanic biosphere productivity ratios, the global Δ17O of O2 value produced by the biosphere can display strong variations between glacial and interglacial periods.

The reconstructed biosphere productivity using the Landais et al.33 formulation and uncertainties is detailed in Supplementary Table 2 for different time periods of interest within this study, i.e. the pre-industrial, the LGM and the MIS 11. On average, we obtain a biosphere productivity at the beginning of MIS 11 which is 17 % higher than during MIS 1 and a biosphere productivity during the LGM which is 31% lower than during MIS 1, a result in agreement with output of the IPSL coupled model equipped with vegetation and ocean productivity modules (Supplementary Fig. 4).

As in Landais et al.33, it is shown in Supplementary Table 2 that the uncertainty in fractionation coefficients as well as on the ratio of oceanic to terrestrial productivity is leading to uncertainties in the reconstructed past global productivity. The fractionation coefficients are based on physical properties and are hence not expected to vary with time so that the possible bias on these coefficients should apply to the different periods. On opposite, the ratio of oceanic to terrestrial productivity is expected to vary with time and is a large source of uncertainty. We thus present in Supplementary Table 2 calculations performed with the largest range of possible ratios of oceanic to terrestrial productivity estimated in Landais et al.33.

Since the publication of Landais et al.33, new estimates of fractionation coefficients within the oxygen cycle are available19,35,36 and influence of the water cycle organisation has also been suggested22. As a consequence, we performed three additional types of sensitivity tests to better estimate the uncertainties related to fractionation processes within the photosynthesis37, respiration36 and water cycle22 (see SOM for details).

First, we address the uncertainty in photosynthesis fractionation. Some marine species show fractionation during marine photosynthesis37 while it was assumed in Landais et al.33 that photosynthesis does not fractionate38. We performed sensitivity tests with the largest fractionation effects during marine photosynthesis observed in Eisenstadt et al.37 and obtained a MIS 11 productivity level decreased by 3% with such fractionation effect.

The second uncertainty we tested is the uncertainty in respiration fractionation. Recent studies have highlighted large variations in the relationship between δ17O and δ18O during respiration linked to temperature variations36. When taking into account the maximum effect, i.e. a decrease of 0.005 for the slope of the relationship between ln(δ17O + 1) and ln(δ18O + 1) during respiration, we end up with a resulting biosphere productivity reconstruction 16% higher during MIS 11 than the average situation.

Then, we estimated the uncertainty in the fractionation within water cycle. The general assumption in Landais et al.33 was that the relationship between δ17O and δ18O of water (meteoric water line) remains the same over glacial-interglacial cycles. However, measurements in the Vostok ice core have shown that the 17O-excess, defined as 17O-excess = ln(1 + δ17O)−0.528*ln(1 + δ18O), is lower by up to 20 ppm during the last glacial maximum39. While it has been shown that this is a local effect40, we still performed a sensitivity test with decreasing 17O-excess of all continental meteoric waters by 20 ppm during glacial periods and increasing 17O-excess by 10 ppm during MIS 11 with respect to our current interglacial period. Taking into account such variations, the reconstructed biosphere productivity does not differ by more than 6% from the case without change in meteoric water 17O-excess (Supplementary Table 2).

Finally, we also took into account the uncertainty in the model used by Landais et al.33 by combining the above reconstruction with an alternative reconstruction of global oxygen productivity using an alternative model, the one of Blunier et al.22, forced by our Δ17O of O2 data (Supplementary Fig. 2).

Combining our different sensitivity studies for a global reconstruction of biosphere productivity (Fig. 3), we find that the global productivity is reduced by 10–40% during glacial periods compared to interglacials. At the beginning of most interglacial periods, the global productivity remains close to the pre-industrial level. The only exception to this general behaviour is the strong oxygen biosphere productivity at the end of Termination V reaching values 10–30% higher than during the pre-industrial period.

## Discussion

Complementary information on the origin and specificity of the Δ17O of O2 signal over Termination V can be obtained from the ice core δ18Oatm record over the last 800 ka18 (Fig. 3). δ18Oatm is a complex parameter resulting from both biosphere productivity and low-latitude water cycle41. In particular, it has been shown that Weak Monsoon Intervals observed during Heinrich events lead to increases in δ18Oatm via changes in the low-latitude water cycle42. Another way to increase the δ18Oatm is to increase the ratio between terrestrial and oceanic biosphere productivity8,41.

As for Δ17O of O2, δ18Oatm shows a particular behaviour over Termination V. First, while δ18Oatm variations during other terminations of the last 800 ka do not exhibit variations larger than 1.5 ‰18, the δ18Oatm decrease over Termination V is of 1.8 ‰. The highest level of δ18Oatm (1.43 ‰) is reached during Termination V at the beginning of the main increase of productivity inferred from Δ17O of O2. In contrast with the other interglacial periods where the maximum in biosphere productivity corresponds to a minimum of δ18Oatm, there is no minimum of δ18Oatm observed at the beginning of MIS 11 (~420 ka) (Fig. 3). The minimum in δ18Oatm actually occurs toward the end of MIS 11, i.e. around 405 ka. The anomalously high δ18Oatm at the time of peak biosphere productivity inferred from Δ17O of O2 cannot be explained by a weak monsoon period in opposite to an explanation given for high δ18Oatm levels observed over the last 800 ka43. Indeed, data from other archives rather show a relatively strong East Asia monsoon activity during MIS 11 similarly to what is observed over the last 4 interglacial periods44,45. Instead, this high δ18Oatm values should be interpreted as an increase of the terrestrial vs oceanic productivity ratio expressed in flux of oxygen.

In most cases, terrestrial records are too short and not well dated enough to study the dynamic of vegetation and TOC over this termination. Moreover, hiatus of pollen data from oceanic records often prevent to study Termination V with high resolution. The best regional information on the terrestrial productivity covering the last 445 ka can be recovered from palynological studies of sediments from El’gygytgyn16, Ohrid46,47, and Tenaghi Philippon15 lakes, and from the oceanic ODP Site 64626. Pollen records can be used as indirect information on terrestrial biosphere productivity knowing the primary productivity associated with each ecosystem48. From this, the aforementioned records from the Northern Hemisphere highlight a major increase in terrestrial productivity during Termination V until mid-MIS 11 through the growth of plants associated with high productivity (Picea, Tree, Shrubs, Arboreal pollen, Quercus robur) in place of steppic species, tundra or frozen soils. This increase is the highest of the last 445 ka when focusing on high latitudes records (ODP site 646 at 58°N26, Lake El’gygytgyn at 67°N)16. At lakes Ohrid46,47 and Tenaghi Philippon15, that are located around 40°N, while the increase in pollen abundance during Termination V is comparable to those observed during younger ones, the pollen peak lasts longer (Supplementary Fig. 3). In parallel, the very high and long-lasting Si/Ti ratio and TOC percentage recorded in lake sediments16,49 are the consequences of a strong and longer deglacial productivity15,16,46,47 (Fig. 3). These regional indications of terrestrial productivity are in agreement with the increase in global productivity inferred from Δ17O of O2 and increase in the terrestrial vs oceanic productivity ratio inferred from δ18Oatm.

Several factors could explain the higher terrestrial productivity recorded during Termination V and MIS 11 compared to other younger terminations. First, the relatively slow sea level rise over Termination V50 leaves some emerged vegetated terrestrial platforms (e.g. Sunda plate). Then, terrestrial biosphere productivity could be favoured in the context of low eccentricity leading to less pronounced seasonality and a longer duration of summer growing season16. Finally, MIS 11 biosphere productivity can be enhanced at high latitude of the northern Hemisphere because of the strong warming and melting of ice sheet volumes in Northern Hemisphere at mid-MIS 11 leading to more available lands16,49, favouring plant development/productivity. Some also suggest a more humid and warm climate, with higher precipitation compared to MIS 116,49.

In the Ocean, little is known about deglacial oceanic productivity over the last 800 ka. Increased contents of organic matter (Total Organic Carbon (TOC) and biomarkers)3,14 in sediments from the Subantarctic Zone of the Southern Ocean have been used to reflect increased downward flux of carbon associated with the photosynthetic biomass and thus, increased soft-tissue pump efficiency. However, they remain sparse and cannot directly be used to infer oceanic primary productivity. Besides, they do not consider the relative contribution of the downward flux of Particulate Inorganic Carbon (mainly CaCO3) produced by calcifying plankton in the sunlit ocean (mainly coccolithophores and planktonic foraminifera), that creates a surface-to-deep alkalinity gradient, causing CO2 to be released back to the atmosphere51 and that represents the carbonate counter pump. While the biological carbon pump, including both the soft-tissue pump and the carbonate counter pump, is expected to impact the atmospheric pCO2, the soft-tissue pump is the only one to affect O2 fluxes and thus, the Δ17O of O2.

To the best of our knowledge, the best regional information on Southern Ocean productivity spanning the last 445 ka is obtained from site PS2489-2/ODP10903,14 located within the Atlantic sector of the Subantarctic Zone. This site provides TOC and alkenone mass accumulation rates (MARs) as well as marine TOC/CaCO3 ratio that are helpful to discuss both soft-tissue pump and biological carbon pump efficiencies. Records show decreases in TOC and alkenone MARs, correlated with decreased TOC/CaCO3 during Terminations V to I (Fig. 3). TOC and alkenone records during Termination V display no different trend compared to younger terminations, i.e. they show a less efficient soft-tissue pump probably associated with a decreased biological productivity in the Subantarctic Zone of the Southern Ocean, hence in agreement with the increase of terrestrial vs oceanic productivity over Termination V inferred from δ18Oatm.

The most striking pattern comes from the TOC/CaCO3 ratio directly linked to biological pump efficiency and exhibiting a peak of very large amplitude over Termination V. This productivity signal goes along the exceptional production and accumulation of the coccolith Gephyrocapsa caribbeanica observed worldwide28,52, and particularly within the Subantarctic Zone of the Southern Ocean30,53 at the beginning of, and during Termination V. Such exceptional coccolithophore acme could be enhanced by the minimum of eccentricity during this period, causing a longer duration of summer growing season52. In parallel, in the low-latitude ocean, this period is marked by a strong increase in reef carbonate accumulation, probably associated with the sea level rise documented at that time29,54. The singular carbonate production by coccolithophore and coral ecosystem is more difficult to interpret straightforwardly in term of increase in biological productivity but supports the exceptional biological context over Termination V. Indeed this worldwide increase in carbonate production and preservation is expected to considerably decrease ocean [CO32−]28,55, and thus, significantly increase the atmospheric CO2 concentration30,54 over Termination V. However, and opposite to the evolution of atmospheric CO2 concentration during the other interglacial periods, the onset of MIS 11 is not associated with the highest CO2 level of the whole interglacial period which means that a competing effect is at play. Some processes can play a role in the moderation of the pCO2 such as physical pumping of CO2 in the Southern Ocean through solubility effect or ventilation. A recent study provided indication on the change in the surface temperature of the Southern Ocean on the same timescale than atmospheric CO2 variations over the last 720 ka with a link to ocean ventilation56. The changes in Southern Ocean temperature and ventilation are not different during Termination V than over the four youngest terminations, therefore showing no evidence of an enhanced physical pumping over this time period. We rather postulate that the competing effect for a moderate CO2 level over the first part of MIS 11 is the exceptional productivity during Termination V leading to a fixation of excess atmospheric CO2 in the biosphere. Moreover, the maximum in atmospheric CO2 concentration is actually observed more than 10 ka after the onset of MIS 11, i.e. at the exact time when global biosphere productivity, as inferred from Δ17O of O2, is decreasing. We thus propose that the strong peak of terrestrial productivity over Termination V, mainly driven by terrestrial biosphere, might slow down the increase of atmospheric CO2 concentration induced by the carbonate production.

Our new record of Δ17O of O2 over Termination V reveals a very different picture from the evolution observed over the last 4 terminations: Δ17O of O2 is not strongly anti-correlated with CO2 which should be interpreted as an anomalous evolution of the biosphere productivity during Termination V and beginning of MIS 11. The global oxygen biosphere productivity is larger by about 10 to 30% at the beginning of MIS 11 compared to the productivity observed at the onset of the younger interglacial periods. Comparison with the δ18Oatm record over the last 800 ka and the few available data on continent and ocean shows that this exceptional productivity increase is mainly due to an increase in terrestrial productivity. In parallel, the exceptional change in the carbonate cycle in oceanic environment also suggests that this peak in biosphere productivity may have contributed to maintain the atmospheric CO2 concentration at relatively low level at the beginning of MIS 11 while strong carbonate production and export, would have the opposite tendency of increasing it. The exceptional strong biosphere productivity during this period can be linked to low eccentricity around 400 ka, probably influencing productivity in both the terrestrial and oceanic ecosystems, due to longer summer insolation duration. The slow sea level rise during Termination V followed by an exceptional warming at high latitude of the Northern hemisphere over mid-MIS 11 may also have favoured increasing terrestrial biosphere productivity through vegetation in emerged low-latitude platform during Termination V and vegetation on high latitude terrestrial regions usually characterised by frozen soils during MIS 11.

Finally, this important result on the global productivity calls for future studies, especially at the regional scale through measurements of productivity signals in oceanic and terrestrial reservoirs over Termination V. This study should also be extended to refine recent terminations (e.g. Termination III where Δ17O of O2 resolution is very low) and bring attention to older ones. The comparisons of high-resolution records of CO2 and Δ17O of O2 should permits to study the coupled dynamic of biosphere productivity and carbon cycle associated with large climate changes, under different orbital configurations.

## Method

### Material

The ice samples used for this study come from bag samples allocated to gas consortium (A cut) of the EPICA Dome C 2 ice core. They were stored after drilling (2002-2003) in France (Le Fontanil) at −20 °C before being transported to LSCE, Gif sur Yvette in December 2017 for analysis in first semester of 2018. In total, 53 ice samples were analysed but 3 samples were lost due to an excess of pressure in the line.

### Extraction of air trapped in bubble from ice

Extraction of air trapped in bubbles of ice was performed using a semi-automatic extraction and separation line. A 5-mm-thick section of ice was removed from each sample prior to measurement to prevent any contamination from ambient air or drilling fluid. The sample is then introduced in a frozen flask (−20 °C) attached to the extraction line together with 5cc flasks of outside air (standard for isotopic composition of oxygen). For each daily sequence, two flasks of exterior air and three duplicated ice samples (i.e. 6 ice samples) were analysed. After pumping the line 40 min with samples kept at −20 °C, the ice samples are melted to extract the air trapped in the bubble from the melted ice. The air then goes through H2O and CO2 traps immersed in ethanol cooled at −90 °C and in liquid nitrogen (−196 °C) respectively. The gas sample is transferred in a molecular sieve at −196 °C, then in a chromatographic column (1 m*2 mm) to separate O2 and Ar from N2 and finally goes through another molecular sieve to purify O2 and Ar from remaining He. The extracted air is then trapped in stainless-steel tubes in an 8 port collection manifold immerged in liquid helium (4.13 K). The method follow description from Barkan and Luz57 except that the chromatographic column is longer (1 m instead of 20 cm) and kept at higher temperature (0 °C instead of −90 °C).

### Mass spectrometer measurements

Measurements of 18O/16O, 17O/16O and 32O2/40Ar (δO2/Ar) were performed using a multi-collector mass spectrometer Thermo Scientific MAT253 run in dual inlet mode. For each extracted air sample, 3 runs of 24 dual inlet measurements were performed against a laboratory standard gas obtained by mixing commercial O2 and commercial Ar in atmospheric concentration. The mean of the three runs were calculated for each sample and the standard mean deviation is calculated as the pooled standard deviation over all duplicate samples hence integrating the variability associated with extraction, separation and mass spectrometry analysis.

The resulting pooled standard deviations before the corrections are 0.05‰, 0.02‰, 6.4‰ and 6 per meg for δ18Oatm, δ17Oatm, δO2/Ar measurements and Δ17O of O2 calculation, respectively.

### Atmospheric air calibration

Every day, δ18O, δ17O and δO2/Ar of atmospheric air are measured and are then used to calibrate our measurements following:

$$\delta ^{18}{\mathrm{O}}_{{\mathrm{ext}}\,{\mathrm{air}}\,{\mathrm{corr}}} = \left[ {\frac{{\left( {\delta ^{18}{\mathrm{O}}_{{\mathrm{sample}}}/1000} \right) + 1}}{{\left( {\delta ^{18}{\mathrm{O}}_{{\mathrm{ext}}\,{\mathrm{air}}}/1000} \right) + 1}} - 1} \right]\ast \, 1000,$$
(1)
$$\delta ^{17}{\mathrm{O}}_{{\mathrm{ext}}\,{\mathrm{air}}\,{\mathrm{corr}}} = \left[ {\frac{{\left( {\delta ^{17}{\mathrm{O}}_{{\mathrm{sample}}}/1000} \right) + 1}}{{\left( {\delta ^{17}{\mathrm{O}}_{{\mathrm{ext}}\,{\mathrm{air}}}/1000} \right) + 1}} - 1} \right]\ast \, 1000.$$
(2)

The δ18Oext air and δ17Oext air were constant during the two measurement periods so that we used the average values over the two corresponding periods to correct the raw data. The daily correction was the same every day during each period.

### Correction due to fractionation in the firn column

Several corrections were applied on the measured data due to fractionation in the firn. We describe here corrections due to gravitational and thermal fractionation as well as pore close-off effect.

Gravitational fractionation operates in firn due to Earth gravity field. δ18O and δ17O were obtained by corrections for this diffusive process using δ15N in neighbouring samples58. The correction applied depends on the difference of mass between the two isotopes considered so that:

$$\delta ^{18}{\mathrm{O}}_{{\mathrm{gravitational}}\,{\mathrm{corr}}} = \delta ^{18}{\mathrm{O}}_{{\mathrm{measured}}} - 2\, \ast \, \delta ^{15}{\mathrm{N}},$$
(3)
$$\delta ^{17}{\mathrm{O}}_{{\mathrm{gravitational}}\,{\mathrm{corr}}} = \delta ^{17}{\mathrm{O}}_{{\mathrm{measured}}} - 1\, \ast \, \delta ^{15}{\mathrm{N}}.$$
(4)

Diffusive processes operating in the firn column due to changes in temperature or because of the Earth gravity must also be taken into account. These processes lead to isotopic fractionation of O2 that was taken into account for δ18Oatm reconstruction in the NGRIP ice core over abrupt temperature changes of the last glacial period59. To check the effect of thermal fractionation on Δ17O of O2, we performed measurements of Δ17O of O2 over the top 17 m of the EastGRIP firn were a strong seasonal gradient is present. However, the resulting Δ17O of O2 was not showing any significant deviation from the atmospheric value hence suggesting that thermal fractionation does not modify the Δ17O of O2 of the atmosphere in the firn column (Supplementary Table 3). Moreover, in Antarctica, surface temperature variations are much lower than in Greenland during deglaciations or climatic variability of the last glacial period so that thermal fractionation is not expected to have a significant effect on the isotopic composition of trapped oxygen.

Pore close-off at the bottom of the firn has been shown to affect δO2/N2, δAr/N2 with potential effects on δ15N and δ40Ar in certain cases60. We checked this possible effect on Δ17O of O2 by comparing Δ17O of O2 in bubbly ice at the top of the NEEM ice core. After correction of gravitational effect, we found a systematic enrichment of 13 per meg which could potentially bias the reconstruction of atmospheric Δ17O of O2 from Δ17O of O2 in trapped air.

### Gas loss correction

During storage, O2 in ice samples is subject to gas loss fractionation due to diffusion processes61 and O2/N2 ratio is always lower by several % in ice samples stored several years at −20 °C than ice samples stored at −50 °C62. Such gas loss effect is also associated with isotopic fractionation of oxygen, δ18Oatm trapped in the ice being higher when δO2/N2 decreases with a slope for the relationship of −0.01 (δ18Oatm vs δO2/N2)17,18,63,64. We thus expect that δ17O can also be affected by this gas loss process and that it may create an anomaly of Δ17O of O2. To check this effect, measurements of δ17O, δ18Oatm, Δ17O of O2 and δO2/Ar have been performed on three samples of GRIP ice core (clathrate ice stored during more than 20 years at −20 °C). Each of the three ice samples have been cut in order to analyse the interior and the exterior of the sample separately. δO2/N2 measurements could not be performed on exactly the same samples so that we used the δO2/Ar measurements to estimate the amount of oxygen loss. Argon is also known to be affected by gas loss17,61 but in a smaller extend than oxygen65 so that the decrease of δO2/Ar is still a good indication of larger gas loss.

Data show a systematic lower Δ17O of O2 value in the exterior sample compared to the interior sample, paralleling the lower δO2/Ar value in the exterior sample compared to the interior sample as expected by gas loss (Supplementary Table 1). This systematic relationship and the Δ17O of O2 and δO2/Ar values can be used to propose a correction for the Δ17O of O2 that takes into account the gas loss effect:

$$\Delta ^{17}{\mathrm{O}}_{{\mathrm{gas}}\,{\mathrm{loss}}\,{\mathrm{corr}}} = \Delta ^{17}{\mathrm{O}}_{{\mathrm{sample}}} - 0.3945 \, \ast \, \left[ {\left( {\delta {\mathrm{O}}_2/{\mathrm{Ar}}} \right)_{{\mathrm{sample}}} - \left( {\delta {\mathrm{O}}_2/{\mathrm{Ar}}} \right)_{{\mathrm{std}}}} \right].$$
(5)

### Comparison of EDC Δ17O of O2 with previous Δ17O of O2 record

Previous Δ17O of O2 measurements only took into account correction linked with gravitational fractionation. As a consequence, we checked the consistency of previous records performed on the GISP2 and Vostok ice core with our new EDC data by measuring again Δ17O of O2 over Termination II using EDC samples and integrating the aforementioned correction (Fig. 1).

### Flux of oxygen associated with biosphere productivity

We follow here the calculation of the flux of oxygen associated with biosphere productivity described in Landais et al.33.

Since the atmospheric Δ17O of O217Oatm) is influenced by the exchanges with biosphere and stratosphere, it is possible to write the following equation in a 3-box system at equilibrium (biosphere—bio-, atmosphere—atm-, stratosphere—strat-):

$${{F}}_{{\mathrm{bio}}} \, \ast \, \left( {{\Delta}^{17}{\mathrm{O}}_{{\mathrm{bio}}} - {\Delta} ^{17}{\mathrm{O}}_{{\mathrm{atm}}}} \right) = {{F}}_{{\mathrm{start}}} \, \ast \, \left( {{\Delta} ^{17}{\mathrm{O}}_{{\mathrm{start}}} - {\Delta} ^{17}{\mathrm{O}}_{{\mathrm{atm}}}} \right),$$
(6)

where Fbio is the flux of oxygen exchanged by photosynthesis and respiration (both fluxes being considered at equilibrium) and Fstrat is the flux of oxygen exchanged between the lower atmosphere (or troposphere) and the stratosphere (fluxes in and out of the stratosphere are assumed equal).

To reconstruct past biospheric fluxes between terrestrial/oceanic biosphere and atmosphere based on Δ17O of O2, it is necessary to know the evolution of the stratospheric flux as well as of the Δ17Ostrat. Luz et al.20 and Blunier et al.22 showed that a good assumption is to consider that the production rate of depleted O2 in the stratosphere can be related to the atmospheric CO2 concentration. It is then possible to express the evolution of biosphere oxygen flux in the past compared to pre-industrial from the following equation:

$$\frac{{{{F}}_{{\mathrm{bio}},{\mathrm{t}}}}}{{{{F}}_{{\mathrm{bio}},{\mathrm{pre}}{\mbox{-}}{\mathrm{industrial}}}}} = \frac{{({\mathrm{CO}}_2)_{\mathrm{t}}}}{{({\mathrm{CO}}_2)_{{\mathrm{pre}}{\mbox{-}}{\mathrm{industrial}}}}}\, \ast \, \frac{{{\Delta}^{17}{\mathrm{O}}_{{\mathrm{bio}},{\mathrm{pre}}{\mbox{-}} {\mathrm{industrial}}}}}{{{\Delta}^{17}{\mathrm{O}}_{{\mathrm{bio}},{\mathrm{t}}} - \Delta ^{17}{\mathrm{O}}_{{\mathrm{atm}},{\mathrm{t}}}}},$$
(7)

where Fbio,t is the biosphere oxygen flux at a given time, Fbio,pre-industrial is the present time biosphere oxygen flux, (CO2)t and (CO2)pre-industrial correspond to the atmospheric CO2 concentration at a given time and at the pre-industrial period respectively, Δ17Obio,pre-industrial and Δ17Obio,t are the values of Δ17O of O2 in an atmosphere that would only be influenced by exchanges with the biosphere at the present time and at a given time respectively. Δ17Oatm, t is the Δ17O of O2 of the atmosphere at a given time measured in the air trapped in ice core. We refer to pre-industrial period because of the long residence time of oxygen in the atmosphere (>1000 years), Δ17O of O2 is not exhibiting any significant variation over the last centuries.

Δ17Obio can be calculated from the fractionation coefficients associated with the different processes leading to oxygen fluxes in the biosphere (mainly photosynthesis, dark respiration and photorespiration). Detailed calculations of Δ17Obio at the LGM and pre-industrial periods were obtained in Landais et al.33 taking into account uncertainties in the determination of the fractionation coefficients34 as well as on the relative fluxes of oxygen (Supplementary Table 2).

From the calculation of Δ17Obio, pre-industrial and Δ17Obio,LGM (Supplementary Table 2), Δ17Obio,t is calculated through a scaling on the variations of CO2 concentration between pre-industrial period (280 ppmv) and the LGM (190 ppmv)66 such as

$$\Delta ^{17}{\mathrm{O}}_{{\mathrm{bio}},{\mathrm{t}}} = \Delta ^{17}{\mathrm{O}}_{{\mathrm{bio}},{\mathrm{pre}}{\mbox{-}}{\mathrm{industrial}}} + \left( {{\Delta}^{17}{\mathrm{O}}_{{\mathrm{bio}},{\mathrm{LGM}}} - \Delta ^{17}{\mathrm{O}}_{{\mathrm{bio}},{\mathrm{pre}}{\mbox{-}}{\mathrm{industrial}}}} \right)\, \ast \, \left( {\frac{{280 - \left( {{\mathrm{CO}}_2} \right)_{\mathrm{t}}}}{{90}}} \right).$$
(8)

### Details on uncertainty in photosynthesis fractionation

We performed sensitivity tests to compare biosphere productivity reconstructions without any fractionation and reconstruction with the different fractionation effects during marine photosynthesis as observed in Eisenstadt et al.37. The largest change on the reconstructed biosphere productivity is obtained using the observed photosynthesis fractionation effect associated with Emiliania huxleyi18O = 5.81‰ and slope between ln(δ17O + 1) and ln(δ18O + 1) of 0.5253). The reconstructed global biosphere productivity is lower with such fractionation effect: the MIS 11 productivity level is decreased by 3% with such fractionation effect compared to the reconstruction with no fractionation at photosynthesis (i.e. the average situation, see Supplementary Table 2).

### Details on uncertainty in respiration fractionation

When taking into account the maximum effect, i.e. a decrease of 0.005 for the slope of the relationship between ln(δ17O + 1) and ln(δ18O + 1) during respiration, we end up with a decrease of Δ17Obio by 65 ppm. The resulting biosphere productivity reconstruction is about 16% higher during MIS 11 than the average situation (Supplementary Table 2) leading to an anomalously high O2 flux associated with gross primary productivity during Termination V.

### Validation of the biosphere productivity reconstruction

The three sensitivity tests displayed (uncertainty on photosynthesis fractionation, on respiration fractionation and on fractionation within the water cycle) suggest that the biosphere productivity during MIS 11 is significantly higher than for our current interglacial, leading to the envelop displayed on Supplementary Fig. 2. Actually, explaining the Δ17O of O2 anomaly without invoking a significant increase of the global productivity at the beginning of MIS 11 requires huge change of the Δ17O of O2 produced by terrestrial biosphere (through changes in fractionation factor or changes in water cycle, hypothesis 1) or of the ratio of oceanic to terrestrial biosphere productivity (hypothesis 2). These two possibilities are rather unrealistic as detailed below.

In hypothesis 1, an increase of 30 ppm for Δ 17O of O2 produced by terrestrial biosphere is needed. This can be obtained either by a huge change in the fractionation factors between our current interglacial and MIS 11 (which is not realistic since these are based on physical processes which do not vary with time) or by a change of water cycle during MIS 11 with respect to present-day value. To reach this 30 ppm increase through modification of the water cycle, one option is to increase the 17O-excess of meteoric water by 30 ppm during MIS 11 compared to our current interglacial. We do not have 17O-excess values for MIS 11 yet, but ice core 17O-excess values obtained for the last interglacial are very similar to values obtained for the present interglacial39. Moreover, increasing 17O-excess by 30 ppm would require unrealistic decrease of relative humidity at evaporation (by 30%, Barkan and Luz67) during MIS 11 compared to our present interglacial. Finally, an increase of the mean δ18O and δ17O of meteoric water used by the plant along the meteoric water line (i.e. without global change in the global 17O-excess) would as well be a solution (see Fig. 4 of Landais et al.33) but to reach the expected increase of 30 ppm in Δ 17O of O2 produced by the terrestrial biosphere, it would require an increase of global mean δ18O of meteoric water by ~3 ‰ with respect to present-day that will be transmitted to the global δ18Oatm. The δ18Oatm during MIS 11 is between 0 and 0.5 ‰ higher than during MIS 1 so that it does not support this hypothesis.

Hypothesis 2 requires an increase of the oceanic vs terrestrial productivity by a factor of 2 during MIS 11 compared to present-day value. This does not go along available observations suggesting an increase in the ratio of terrestrial to oceanic productivity during MIS 11 (see main text) and is still well above the uncertainty for the variation of the ratio of oceanic to terrestrial productivity during our interglacial period (14%, Supplementary Table 2).

An additional validation of our reconstruction of exceptional productivity during the beginning of MIS 11 comes from the comparison of our reconstruction with the oxygen biosphere productivity variations obtained by Blunier et al.22 over the last four terminations using a different vegetation model and different formulation of the link between atmospheric CO2 and flux of Δ17O of O2 anomaly from the stratosphere. Indeed, in our approach, we directly dealt with Δ17O of O2 anomaly in the box model while it may be more appropriate to deal with the δ17O and δ18O of O2 values as done in Blunier et al.22 and suggested by Prokopenko et al.68. We thus compared our reconstruction with the one performed with the model of Blunier et al.22 (Supplementary Fig. 2). The smaller difference in the oxygen flux associated with oxygen productivity between glacial and interglacial periods in Blunier et al.22 mainly comes from the different formulations of the dependency of the stratospheric anomaly Δ17O of O2 to CO2 atmospheric concentration. Another difference comes from the variations in the triple isotopic composition of oxygen in water between glacial and interglacial periods not taken into account in Landais et al.33. We took this possible variation into account in our approach through the third sensitivity test explained above. We ran here the model of Blunier et al.22 over the new Termination V data. The comparison between the two methods of reconstruction (Landais et al.33 vs Blunier et al.22) is significant. The biosphere productivity increase at the end of Termination V is less important using the Blunier et al.22 approach than using the Landais et al.33: 10% larger than for other interglacial periods following Blunier et al.22 instead of 20% on average following Landais et al.33. Still, both approaches show that the biosphere productivity increase over Termination V is exceptional compared to the younger terminations.

## Data availability

The corrected data of Δ17O of O2 are available in Pangaea database https://doi.pangaea.de/10.1594/PANGAEA.914609. The data are also available from the authors.

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## Acknowledgements

The authors first acknowledge the three anonymous reviewers and the editor for their useful help in improving the manuscript. It is a pleasure to thank Jean Jouzel, Jochen Schmitt, Ji-Woong Yang and Michael Bender for useful discussions as well as Laurent Bopp, Masa Kageyama, Chiara Guarnieri and Jean-Yves Peterschmitt for their contribution on model reconstructions. We also thank Gregory Teste involved in cutting EDC samples. This work benefited from funding from the ANR program HUMI17 as well as the INSU-LEFE-IMAGO program BIOCOD. M.B. receives an IDEX-IDI PhD grant from Paris-Saclay. It is a contribution to the European Project for Ice Coring in Antarctica (EPICA). This work was supported by the French state aid managed by the ANR under the “Investissements d’avenir” programme with the reference ANR-11-IDEX-0004-17-EURE-0006.

## Author information

Authors

### Contributions

A.L., S.D.A. and M.B. designed this study. M.B, F.P., V.F, H.A. and L.S performed the Δ17O of O2 measurements. M.B and A.L. corrected the data and calculated the flux of oxygen biosphere productivity with the help of T.B. M.B., A.L. and S.D.A. wrote the manuscript with the contribution of T.B and T.E.

### Corresponding author

Correspondence to Margaux Brandon.

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The authors declare no competing interests.

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Brandon, M., Landais, A., Duchamp-Alphonse, S. et al. Exceptionally high biosphere productivity at the beginning of Marine Isotopic Stage 11. Nat Commun 11, 2112 (2020). https://doi.org/10.1038/s41467-020-15739-2

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