A global synthesis of high-resolution stable isotope data from benthic foraminifera of the last deglaciation

Muglia, Juan; Mulitza, Stefan; Repschläger, Janne; Schmittner, Andreas; Lembke‐Jene, Lester; Lisiecki, L. E.; Mix, Alan C; Saraswat, Rajeev; Sikes, E. L.; Waelbroeck, Claire; Gottschalk, Julia; Lippold, Jörg; Lund, David C; Martínez‐Méndez, Gema; Michel, Élisabeth; Muschitiello, Francesco; Naik, Sushant S.; Okazaki, Yusuke; Stott, L. D.; Voelker, Antje H L; Zhao, Ning

doi:10.1038/s41597-023-02024-2

Cited by 8 publications

(5 citation statements)

References 189 publications

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“…Assuming this local ΔR holds true for a few hundred years, the marine 14 C date for the 13PT‐P4_411 tephra (25,330 ± 100 14 C yr BP) is therefore equal to its terrestrial‐derived 14 C date and can thus be calibrated using the terrestrial IntCal20 curve (Reimer et al., 2020), which yields a calendar age of 29,921–29,255 cal yr BP (95.4%, Figure S1 in Supporting Information S1). Such an approach is supported by the δ 13 C values of the reported 14 C dates (Table 1), which are much closer to values expected for terrestrial and not marine samples (e.g., Li et al., 2017; Muglia et al., 2023), perhaps indicating a significant supply of organic carbon running in from terrestrial sources at this time.…”

Section: Results and Tephra Provenancesupporting

confidence: 72%

Revisiting the Tianwen Yellow Pumice (TYP) Eruption of Changbaishan Volcano: Tephra Correlation, Eruption Timing and Its Climatostratigraphical Context

Chen,

Xu,

Tarasov

et al. 2024

JGR Solid Earth

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Changbaishan volcano (China/North Korea) is one of the most active and hazardous volcanic centers in Northeast Asia. Despite decades of intensive research, the eruption history of this stratovolcano remains poorly constrained. One of the major puzzles is the timing of the eruption that produced the Tianwen Yellow Pumice (TYP) deposit at the caldera rim. Here we identify a new cryptotephra layer in sediment core 13PT‐P4 from the East Sea. Grain‐specific major, minor, and trace element analyses of glass shards allow a clear correlation of this distal tephra to the proximal TYP deposit of Changbaishan. Age‐depth modeling using radiocarbon (14C) dates of sediment bulk organic fractions and other tephrochronological markers from the sediment sequence constraints the age of the cryptotephra and thus the TYP eruption to 29,948–29,625 cal yr BP (95.4% confidence interval). Our findings lead to a revision of the history of Changbaishan explosive activity, and show that the volcano has been particularly active during ca. 51–24 ka BP in the last 100 ka. Using high resolution palaeo‐proxy records, we find the TYP tephra almost coeval with regional to hemispheric‐scale climatic changes known as Heinrich Event 3 (H3). With its precise age determination and wide geographic dispersion, the tephra offers a key isochron for dating records of past climatic changes and addressing the phasing relationships in environmental response to H3 across East Asia.

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Section: Results and Tephra Provenancesupporting

confidence: 72%

Revisiting the Tianwen Yellow Pumice (TYP) Eruption of Changbaishan Volcano: Tephra Correlation, Eruption Timing and Its Climatostratigraphical Context

Chen,

Xu,

Tarasov

et al. 2024

JGR Solid Earth

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“…3e and 4e). This extended period of the AMOC stagnation in our model helps to explain the observed discrepancies between the model and the reconstructed data (Rafter et al, 2022;Muglia et al, 2023) in the deep Atlantic during the YD period.…”

Section: Response Of Carbon Isotope Signatures To Drastic Changes In ...mentioning

confidence: 60%

“…Further information can be obtained by comparing the results of model-data comparisons for 14 C and δ 13 C. For δ 13 C, both the model and the data show similar trends, depicting an increase in deep-water δ 13 C during the BA period as in 14 C. However, there is a discrepancy during the subsequent YD period. The model indicates a reduction in deepwater δ 13 C during the YD period, whereas this feature is ab-sent in the reconstruction of Muglia et al (2023) (Fig. 2g-j).…”

Section: Response Of Carbon Isotope Signatures To Drastic Changes In ...mentioning

confidence: 93%

“…By estimating the AMOC that best fits the model and the data for δ 13 C (Schmittner and Lund, 2015) or δ 13 C and multiple chemical tracers in seawater (Pöppelmeier et al, 2023), those studies improved our understanding of the relationship between changes in the AMOC and the ocean carbon cycle during the early deglaciation. In recent years, compilation of many sediment core records covering the last deglaciation has deepened our understanding of the spatiotemporal changes in carbon isotope ratios during this period (Zhao et al, 2018;Rafter et al, 2022;Muglia et al, 2023;Skinner et al, 2023). By comparing the compiled data with model output, it has been possible to gain valuable insights into deglacial changes in the ocean carbon cycle.…”

Section: Introductionmentioning

confidence: 99%

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Assessing transient changes in the ocean carbon cycle during the last deglaciation through carbon isotope modeling

Kobayashi,

Oka,

Obase

et al. 2024

Clim. Past

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Abstract. Atmospheric carbon dioxide concentration (pCO2) has increased by approximately 80 ppm from the Last Glacial Maximum (LGM) to the early Holocene. The change in this atmospheric greenhouse gas is recognized as a climate system response to gradual change in insolation. Previous modeling studies suggested that the deglacial increase in atmospheric pCO2 is primarily attributed to the release of CO2 from the ocean. Additionally, it has been suggested that abrupt change in the Atlantic meridional overturning circulation (AMOC) and associated interhemispheric climate changes are involved in the release of CO2. However, understanding remains limited regarding oceanic circulation changes and the factors responsible for changes in chemical tracers in the ocean during the last deglaciation and their impact on atmospheric pCO2. In this study, we investigate the evolution of the ocean carbon cycle during the last deglaciation (21 to 11 ka BP) using three-dimensional ocean fields from the transient simulation of the MIROC 4m climate model, which exhibits abrupt AMOC changes similar to those observed in reconstructions. We investigate the reliability of simulated changes in the ocean carbon cycle by comparing the simulated carbon isotope ratios with sediment core data, and we examine potential biases and overlooked or underestimated processes in the model. Qualitatively, the modeled changes in atmospheric pCO2 are consistent with ice core records. For example, during Heinrich Stadial 1 (HS1), atmospheric pCO2 increases by 10.2 ppm, followed by a reduction of 7.0 ppm during the Bølling–Allerød (BA) period and then by an increase of 6.8 ppm during the Younger Dryas (YD) period. However, the model underestimates the changes in atmospheric pCO2 during these events compared to values derived from ice core data. Radiocarbon and stable isotope signatures (Δ14C and δ13C) indicate that the model underestimates both the activated deep-ocean ventilation and reduced efficiency of biological carbon export in the Southern Ocean and the active ventilation in the North Pacific Intermediate Water (NPIW) during HS1. The relatively small changes in simulated atmospheric pCO2 during HS1 might be attributable to these underestimations of ocean circulation variation. The changes in Δ14C associated with strengthening and weakening of the AMOC during the BA and YD periods are generally consistent with values derived from sediment core records. However, although the data indicate continuous increase in δ13C in the deep ocean throughout the YD period, the model shows the opposite trend. It suggests that the model either simulates excessive weakening of the AMOC during the YD period or has limited representation of geochemical processes, including marine ecosystem response and terrestrial carbon storage. Decomposing the factors behind the changes in ocean pCO2 reveals that variations in temperature and alkalinity have the greatest impact on change in atmospheric pCO2. Compensation for the effects of temperature and alkalinity suggests that the AMOC changes and the associated bipolar climate changes contribute to the decrease in atmospheric pCO2 during the BA and the increase in atmospheric pCO2 during the YD period.

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“…Radiocarbon ( 14 C) is introduced into seawater through gas exchange at the ocean surface and subsequently decreases in concentration as a result of the radioactive decay of 14 C. Therefore, the radiocarbon isotopic signature (∆ 14 C) serves as an indicator of the deep water flow rate (Stuiver et al, 1983). Recent efforts to compile sediment core records have provided valuable insights into the temporal evolution of the basin-scale distributions of ∆ 14 C (Zhao et al, 2018;Rafter et al, 2022) and δ 13 C (Muglia et al, 2023) during the last deglaciation.…”

Section: Introductionmentioning

confidence: 99%

Assessing transient changes in the ocean carbon cycle during the last deglaciation through carbon isotope modeling

Kobayashi,

Oka,

Obase

et al. 2023

Preprint

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Abstract. We conducted a transient numerical experiment on the ocean carbon cycle during the last deglaciation. We used a three-dimensional ocean field from a transient climate model MIROC4m simulation of the last deglaciation as input to an ocean biogeochemical model, which allowed us to evaluate the effects of the gradual warming and the abrupt climate changes associated with the Atlantic Meridional Overturning Circulation during the last deglaciation. During Heinrich Stadial 1 (HS1), the atmospheric partial pressure of carbon dioxide (pCO2) increased as a result of rising sea surface temperature. Subsequently, during the Bølling–Allerød period, characterized by a rapid strengthening of the Atlantic Meridional Overturning Circulation (AMOC), atmospheric pCO2 showed a decreasing trend. Our decomposition analysis indicates that the declining atmospheric pCO2 in response to the enhanced AMOC during the BA period were primarily driven by an increase in ocean surface alkalinity, although this effect was partially offset by changes in sea surface temperature. Meantime, we found that our model generally underestimated atmospheric pCO2 changes compared to the ice core data. To understand this, we conducted an analysis of ocean circulation and water masses using radiocarbon and stable carbon isotope signatures (Δ14C and δ13C). We found that the overall changes in the deep water Δ14C in response to the AMOC change are quantitatively consistent with the sediment core data. However, the model underestimates the increased ventilation in the deep ocean and the reduced efficiency of biological carbon export in the Southern Ocean during mid-HS1 compared to estimates derived from sediment core data. In addition, the model underestimates the active ventilation in the North Pacific Intermediate Water during mid-HS1, as suggested by sediment core data. These underestimations in the activation of the deep ocean circulation and the limitation of biological productivity could be the primary reasons why our model exhibits smaller atmospheric pCO2 changes than ice core data. Our decomposition analysis, which estimates the quantitative contribution to the oceanic pCO2, suggests that changes in alkalinity have played a central role in driving variations and trends in atmospheric pCO2 as the deep ocean circulation changes. This finding may provide valuable insights into the model-dependent response of the ocean carbon cycle to changes in the AMOC, as several previous studies have emphasized the importance of the AMOC in influencing changes in atmospheric pCO2, but the magnitude and direction of these changes have varied widely between studies.

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A global synthesis of high-resolution stable isotope data from benthic foraminifera of the last deglaciation

Cited by 8 publications

References 189 publications

Revisiting the Tianwen Yellow Pumice (TYP) Eruption of Changbaishan Volcano: Tephra Correlation, Eruption Timing and Its Climatostratigraphical Context

Revisiting the Tianwen Yellow Pumice (TYP) Eruption of Changbaishan Volcano: Tephra Correlation, Eruption Timing and Its Climatostratigraphical Context

Assessing transient changes in the ocean carbon cycle during the last deglaciation through carbon isotope modeling

Assessing transient changes in the ocean carbon cycle during the last deglaciation through carbon isotope modeling

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