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Coupling between Grand cycles and Events in Earth’s climate during the past 115 million years

Abstract

Geological sediment archives document a rich periodic series of astronomically driven climate, but record also abrupt, severe climatic changes called events, the multi-Myr boundary conditions of which have generally been ascribed to acyclic processes from Earth’s interior dynamics. These events have rarely been considered together within extended time series for potential correlation with long-term (multi-million year, Myr) cycling. Here I show a coupling between events and multi-Myr cycles in a temperature and ice-volume climatic proxy of the geological past 115 Myr. I use Cenozoic through middle Cretaceous climatic variations, as recorded in benthic foraminifera δ18O, to highlight prominent ~9 and ~36 Myr cyclicities. These cyclicities were previously attributed either to astronomical or tectonic variations. In particular, I point out that most of the well-known events during the past 115 Myr geological interval occur during extremes in the ~9 and ~36 Myr cycling. One exception is the early Cenozoic hyperthermal events including the salient Paleocene-Eocene Thermal Maximum (~56 Ma), which do not match extremes in long-period cyclicities, but to inflection point of these cycles. Specific focus on climatic events, as inferred from δ18O proxy, suggest that some “events”, marked by gradual trends within the ~9 and ~36 Myr cycle extremes, would principally be paced by long-term cycling, while “events”, recorded as abrupt δ18O changes nearby cycle extremes, would be rather induced by acyclic processes. The connection between cyclic and acyclic processes, as triggers or feedbacks, is very likely. Such link between cycling and events in Earth’s past climate provides insight into celestial dynamics governing perturbations in Earth’s surface systems, but also the potential connection between external and Earth’s interior processes.

Introduction

Earth’s past climate has varied quasi-periodically from hundred to billion years, and these variations were driven by celestial dynamics over a large frequency band1,2,3. In particular, Earth’s climate during the Cenozoic-Late Cretaceous (past 115 million years, Ma) experienced long-term (multi-million year, multi-Myr) changes punctuated by severe, short-lived events4,5,6,7,8. The multi-Myr climatic variations have often been considered irregular (acyclic) in nature on the very long term9. This has led to the hypothesis that these changes were mainly driven by Earth’s interior dynamics and plate tectonic motions assuming that these processes are acyclic in nature9, although more recent studies point to the cyclic behavior of large plate tectonic motions10,11,12,13,14,15,16. The climatic events have been intensively investigated in terms of their heavy impacts and consequences on Earth’s superficial systems, in particular the resulting profound modifications in ocean and terrestrial environments, expressed as perturbations in the sedimentary biogeochemical cycles4,5. Delineating the cyclic versus acyclic nature of multi-Myr climatic variations and their potential link with the climatic events is of paramount importance in deciphering the origin of events and thus their causal mechanisms. However, the study of multi-Myr climatic variations requires the acquisition of high-resolution data covering several million years, hence hampering the characterization of long-term cycling in previous studies17,18,19. New advancements in laboratory analytical techniques together with large collaborative projects allow today the availability of a highly resolved 115-Myr-long climate record from sedimentary benthic foraminifera δ18O (see Methods). The δ18O record indicates variations in deep-sea temperature as well as changes in ice volume4,7,8.

Results

Time-series analysis of δ18O data shows two prominent cyclicities of ~9 and ~36 Myr (Figs 1 and 2). Other low-frequency cyclicities are also present, in particular, 1.3 Myr, 1.6 Myr, a triplet peaks of 2.3, 2.5 and 2.8 Myr, and a 4.7 Myr peak (Fig. 2a), which are close to Milankovitch astronomical periods (Fig. 2b). The 1.3 Myr corresponds to the 1.2 Myr obliquity modulation term. The 1.6 Myr matches the eccentricity term. The triplet corresponds to combined eccentricity and obliquity terms of 2, 2.3 and 2.6 Myr (Fig. 3 and Supplementary Figure S3). Finally, the 4.7 Myr is close to the 4.6 Myr eccentricity peak. Even though spectrally well detected and strikingly close to Milankovitch frequency band (Fig. 3) the periods from 1 to 5 Myr could be altered by the stacking process of the data. Data from single sites document with high fidelity some of these periods20,21,22,23,24,25,26,27,28,29,30,31,32. In contrast, longer periods (>5 Myr) are notably preserved in the compiled δ18O data. In the present study, I focus on the prominent cyclicities of ~9 and ~36 Myr, and their possible link with the geologically well known climatic events. Another potential low-frequency (16 to 18 Myr) cycle could also be seen in the δ18O power spectra (Fig. 3), but will not be discussed below.

Figure 1
figure 1

Time-series analysis of benthic foraminifera δ18O data of the past 115 Ma (see Methods). (a) The raw data with two smoothing fits: a third-order polynomial fit and a 14% weighted-average fit. (b) Detrended δ18O data (third-order polynomial fit shown in ‘a’ is removed) with two smoothing fits: a 14% weighted-average fit to highlight the 36 Myr cycles, and a 4% weighted-average fit to highlight both the ~9 and ~36 Myr cycles. The well known climatic events are shown: IA: Pliocene-Pleistocenbe Ice Age, MMCO: Mid-Miocene Climatic Optimum, Mi-1 and Oi-1: Oligocene-Miocene and Eocene-Oligocene major glacial events, MECO: Mid-Eocene Climatic Optimum, EECO: Early Eocene Climatic Optimum, PETM: Paleocene-Eocene Thermal Maximum, K/T: Cretaceous/Tertiary boundary, EMaC: Early Maastrichtian Cooling episode, OAE2 and OAE1b: Oceanic Anoxic Events. (c) Bandpass filtering of δ18O data: 36 Myr cycle band (0.03 ±0.01 cycles/Myr) and 9 Myr cycle band (0.11 ±0.03 cycles/Myr). Ages, P: Pleistocene, Pl.: Pliocene, Oligoc.: Oligocene, Paleoc.: Paleocene, Ma.: Maastrichtian, Campan.: Campanian, S: Santonian, Co: Coniacian, Tu.: Turonian, Cen.: Cenomanian, A.: Aptian. Vertical shaded bars are extrema (minima in red and maxima in blue) of the ~36 Myr δ18O cycles, which coincide with the most known thermal and cooling episodes. Also indicated climatic events (vertical grey lines), some of them matching extrema in the ~9 Myr cycles. Ox1 to Ox12 are the interpreted ~9 Myr δ18O cycles. Ox1, Ox2, Ox3,… to designate ~9 Myr δ18O oscillations 1, 2, 3,… Ox for oxygen (δ18O), and increasing numbers indicate the older oscillations. This is used by correlation with Cb1, Cb2, Cb3,… that designate the ~9 Myr δ13C oscillations 1, 2, 3,… (Supplementary Figure S1) as in Boulila et al.6, Cb. for carbon (δ13C), and increasing numbers indicate older cycles. Ox1 to Ox4 indicated by asterisks, correlate with their equivalents Cb1 to Cb4 in δ13C record (ref.6, Supplementary Figure S1). Ox7 and Ox8 indicated by question marks include one oscillation, equivalent to two ~9 Myr oscillations in the δ13C record (see text for discussion, and Supplementary Figure S2), Ox12, shown with a question mark, is a poorly constrained cycle, due to low-resolution data within this time interval.

Figure 2
figure 2

2π-MTM power spectra of benthic foraminifera δ18O data of the interval from 0 to 115 Ma (see Methods) and of its time-equivalent astronomical variations. (a) Upper panel: Spectrum of the detrended δ18O data (50% weighted average of the series is removed), lower panel: Spectrum of 1x zero padded δ18O after the detrend (50% weighted average of the series is removed). Significant spectral periods are shown across vertical grey bars. (b) Upper panel: Spectrum of lowpass filtered (>1 Myr), composite astronomical time series of the interval 0 to 115 Ma (see Methods), the power axis is a logarithmic scale for comparison with spectra in ‘a’, lower panel: Spectrum of the same astronomical time series (power in linear scale) but over the interval from 0 to 146 Ma (Cenozoic and Cretaceous time). The most prominent astronomical periods and origins of some of them are shown across vertical grey bars, periods indicated by asterisk may represent minor components. Note that the ~9 Myr δ18O cyclicity originates from the interfering astronomical terms 2 and 2.6 Myr (see Supplementary Figure S3). The 16.3 Myr δ18O period may correspond to a harmonic or may originate from the couple interfering terms 2 Myr vs 2.3 Myr and 2.3 Myr vs 2.6 Myr.

Figure 3
figure 3

Expanded views of climatic events and phases within the ~36 Myr cycle extrema. The term ‘phase’ opposes to the term ‘event’: ‘event’ indicates abrupt, severe change, whereas ‘phase’ indicates gradual/progressive trend in climate change that could reach an optimum (see below). I also used the term ‘episode’ to designate either event or phase. (a) The gradual entry of the Earth into the Pliocene-Pleistocene ice age (IA) as expressed in the trend (40% weighted average). Note that there is no trend during the 100-kyr-cycle dominated climate of the past ca. 800 ka. (b) Gradual variations within the Mid-Miocene Climatic Optimum, MMCO (35% weighted average). (c) Abrupt change within the Eocene-Oligocene transition (EOT) including the Oi-1 glacial event (15% weighted average). (d) Gradual variations within the Early Eocene Climatic Optimum, EECO (35% weighted average). Note that the Paleocene-Eocene Thermal Maximum, PETM, corresponds to a deviation from the long-term cycling within the EECO, and is the most abrupt, severe event in the Cenozoic era.

Discussion

The ~9 Myr cyclicity was previously detected in carbon-cycle variations6. Comparison of δ18O and δ13C data shows a coupling between climate and carbon cycle at the ~9 Myr cycle band, especially during icehouse, i.e. the past 34 Ma (Supplementary Figure S1). A strong decoupling between them is remarkably noted within the interval from 50 to 65 Ma as follows. While the δ13C document the two strongest ~9 Myr cycles Cb7 and Cb8 of the early Cenozoic6, the δ18O has exceptionally only one oscillation (Fig. 3d, see also Supplementary Figure S2).

The origin of ~9 Myr cyclicity has previously been attributed to the modulation of 2.4 Myr eccentricity cycle band6. Here I investigate additional statistical tests to support the modulation at the 2.4 Myr cycle band, but with possible contribution from both eccentricity and obliquity terms (Fig. 2b, and Supplementary Figures S3 and S4). Prominent ~9 Myr geological oscillations have been detected in carbon-cycle and sedimentological proxies of Cenozoic and Mesozoic strata6,33,34,35.

Interestingly, I note four ~9 Myr oscillations grouped in each ~36 Myr cycle (Fig. 1b,c), suggesting a relationship between these two climatic cyclicities. Previous studies ascribed the ~36 Myr climatic variability to another dimension of astronomical forcing36,37. In particular, the ~36 Myr period has been attributed to the vertical passage of the Solar System through the Galactic midplane that modulates the flux of galactic cosmic rays (GCR) on Earth36. Despite our limited knowledge on the gravitational potential of the Galaxy, there is some consensus that the Solar System vertically oscillates across the Galactic midplane, with a half-period of about 36 Myr16,38,39,40. This effective 36 Myr half-period corresponds to the motion of the Solar System when it moves down- and upwards the galactic midplane. This would induce significant change in GCR flux on Earth, especially when crossing the galactic midplane. This would favor the formation of cloud layer from the incidental GCR flux on Earth, hence resulting in variations of Earth’s albedo and the consequent climate change16,36,41,42. Yet, the impact of cosmic ray on climate remains a controversial subject43. Another possible hypothesis is that Earth’s interior dynamics may resonate every 36 Myr inducing global climate change, although recent studies pointed to different periodicities of 25 to 50 Myr13,14 and 56 Myr15. A combined effect from the aforcited mechanisms on climate is presumably44. The most intriguing result in time-series analysis of δ18O climatic proxy is the record of both ~9 and ~36 Myr oscillations, sharing very likely the same forcing process. While the ~9 Myr periodicity may represent a Milankovitch origin, the ~36 periodicity could be forced by solar system vertical motion, that could in turn modulate Earth’s incident (Milankovitch) insolation, or may correspond to a not resolved Milankovitch band. Although I draw attention to climate and astronomy linkage at the scale of ~9 and ~36 Myr periods, we must caution that the effect of tectonics on climate at this timescale remains well plausible16.

Along climate-proxy variations in the Cenozoic and Mesozoic eras (past 0–250 Ma) were recognized and widely studied a number of climatic events4,5,8. The studied interval includes some of them (Fig. 1b). Features and nature of Earth’s system responses to these perturbations differ from one event to another5, however, tectonic-volcanic mechanisms were thought to be the principal, common cause for most of the events4.

Here, I show that most of Cenozoic–Cretaceous climatic events and phases (see Fig. 3 for definition of ‘event’ versus ‘phase’) during the past 115 Ma fall into extremes in amplitudes of the ~9 and ~36 Myr cyclicities (Fig. 1).

For instance, the so-called Oi-1 and Mi-1 glacial episodes are close to the ~9 Myr cycle extremes (Ox4, Fig. 1c). The Mid-Miocene Climatic Optimum (MMCO), which represents a warming phase, bounds ~9 Myr Ox2 and Ox3 δ18O oscillations (see Fig. 1 caption for ‘Ox’ cycle numbering). Importantly, some of the events coincide with extremes in the ~36 Myr cycling, thus, they would be with greater magnitudes (Fig. 1b). The three cooling/glacial episodes at Pliocene-Pleistocene Ice Age (IA), Eocene-Oligocene glacial event (Oi-1) and Early Maastrichtian Cooling phase (EMaC) correspond to maxima of the ~36 Myr δ18O cycles. The two warming phases of Mid-Miocene Climatic Optimum (MMCO) and Early Eocene Climatic Optimum (EECO) coincide with the ~36 Myr cycle minima. Finally, the globally recognized Oceanic Anoxic Event OAE-2 occurs around a minimum of the ~36 Myr δ18O cyclicity. In contrast, the early Cenozoic hyperthermals including the most pronounced Paleocene-Eocene Thermal Maximum (PETM) event do not match extremes in the long-term cycling. The relative variance of the ~36 Myr δ18O cyclicity is more than three times higher than that of the ~9 Myr cyclicity. This implies that events (and phases) matching only extremes in the ~9 Myr cycles are with lesser intensities compared to events (and phases) in relation with the ~36 Myr oscillations. However, Earth’s climate response to the forcing processes at the ~9 and ~36 Myr cycle bands from astronomy, for example, could not be direct, because insolation (or GCR) change at these very longer timescales should be weak (see below).

The most striking result is the match between ~9 and ~36 Myr cycle extremes and most of the Cenozoic-Cretaceous events. This result hints at a coupling between Earth’s climate cycling and perturbations. The ~9 and ~36 Myr cyclicities could have an astronomical and/or a tectonic origin (see above). The events have been postulated to be caused by tectonics, volcanism, pCO2 trend, etc.

I suggest that among the events in relation with long-period cyclicities some of them may have been mainly related to cyclic process, others may have been the result of combined effects of acyclic and cyclic processes. The IA, MMCO, EECO and possibly EMaC4,8 show gradual variations (Figs 1 and 3), thus they may mainly be the result of a cyclic forcing. The Oi-1 and OAE-24,5 show abrupt changes (Figs 1 and 3), thus they may occur acyclically, but could also be triggered by a cyclic mechanism. Large-scale (multi-Myr) Milankovitch astronomical forcing would induce negligible changes in insolation (or GCR) budget on Earth6, hence a nonlinear mechanism is required to explain the match between the long-period astroclimatic cycles and events. Energy transfer process from higher to lower frequency driving forces has previously been suggested6, but this process cannot argue the match between the cycles and events. An astronomically forced gravitational distortion of Earth’s viscose mantle in boundary conditions may explain the potential link between cycle extremes and events at the multi-Myr timescales. Astronomical control of gravitational deformation (e.g., dynamical ellipticity)45 of the mantle at boundary conditions would result in intensification of mantle convection, and the occurrence of climate events, which have been argued to be paced by processes from Earth’s interior dynamics5,44. Also, feedback responses of Earth’s interior dynamics to astronomically driven climate and Earth’s surface processes have equally been suggested even at the shorter Milankovitch timescales46,47. For instance, glacial cycles have been correlated to oceanic crust production47,48. Astroclimatically paced deglaciations would promote mantle decompression, hence increase magma production and thus volcanic eruptions44,46.

Conclusions and Perspectives

In summary, the detection of a potential link between long-period climatic cyclicities (driven by astronomy and/or tectonics) and events provides insights into multi-disciplinary studies involving acyclic versus cyclic nature of Earth’s interior dynamics, astronomical forcing at multi-Myr timescales, and the possible interaction between astronomical and tectonic forcings. The correspondence between very long climate cycle extremes and events during the mid-Cretaceous to Cenozoic time interval suggests a highly nonlinear mechanism response, if the events were responding to insolation, such as astronomical pacing, at boundary conditions, of gravitational perturbation of the Earth’s spin axis and shape. This may, in turn, affect the gravitational deformation of the mantle, stimulate mantle convection and the dynamic topography, hence the occurrence of geodynamically paced climatic events. Cyclic tectonic forcing at the 9 and 36 Myr cycle bands, without evoking the nonlinear astronomical driving force, remains equally plausible.

Future studies should focus on the cyclic vs acyclic nature of Earth’s interior dynamics (tectonics, volcanism,…), at ten to tens of Myr, and likely on how could Earth’s interior dynamics vary or interact with climate44,45,46,47,48,49,50,51, and its potential link with the recognized climatic events. Other potential questions remain open, e.g., what would be the paleoenvironmental implications of the strong decoupling, at the 9 Myr oscillations, between climate and carbon cycles during the Paleocene-Eocene extreme greenhouse? Future studies should also focus on the origin of the ~36 Myr climatic cyclicity, by exploring the hypothesis of the possible link between GCR driven climates from vertical motion of the solar system, and insolation (Milankovitch) forced climates.

Methods

I used compiled benthic foraminifera δ13C and δ18O data from more than 40 deep-sea cores of the Deep Sea Drilling Project and Ocean Drilling Program4,7,8. These data spanning the Cenozoic to the middle-Late Cretaceous, i.e. the past ~115 Ma (Fig. 1a), indicate global variations in climate and carbon cycle, including the well known climatic events4. The Cenozoic compilation is from Cramer et al.7, and the Cretaceous compilation is from Friedrich et al.8. Although the resolution of the stacked data would distort the record of high-frequency cyclicities, the low-frequency, multi-Myr, if present would emerge in the compiled records6. Here I performed time-series analysis on the compiled δ18O record to seek for multi-Myr cycling in climate; comparision with long-term carbon cycling6 was also carried out (Supplementary Figure S1).

I applied spectral analysis to the δ18O data (Fig. 2a) and to long-period (>1 Myr) astronomical variations (Fig. 2b). I generated long-term astronomical variations by extracting amplitude maxima in short eccentricity and amplitude maxima in high-frequency obliquity time series52,53, then summing them after standardization, finally I lowpass filtered periods longer than 1 Myr. The astronomical variations from amplitude maxima of the signals are susceptible to detect lower frequencies, as the conventional amplitude modulation technique. I applied this procedure to the interval from 0 to 115 Ma (Fig. 2b, upper spectrum), and to the interval from 0 to 146 Ma (Cenozoic and Cretaceous time, Fig. 2b, lower spectrum). For spectral analysis, I used the multi-taper method (MTM) and the robust red noise as implemented in the ‘astrochron’ R packages54. MTM spectral analysis was conducted, with three 2π tapers (Fig. 2), on the linearly resampled (5 kyr) δ18O data. To precisely determine the long periods of 9 and 36 Myr I additionally applied 1x zero padding to the δ18O time series prior spectral analysis (Fig. 2a). I carried out smoothing and fitting long-term δ18O variations using both polynomial method and the Lowess weighted average method (Fig. 1). For the detailed study of δ18O record (expanded views in Fig. 3), I have rather performed only the weighted average method on the uneven spaced raw data.

Bandpass filtering was conducted using conjointly the Taner filter, which is characterized by a steep stopband, and the Gaussian filter which has a gentle stopband. Lowpass filtering was conducted using the Taner filter. Filtering δ18O signal was applied to the 5 kyr linearly resampled (5 kyr) data, while Lowess weighted average smoothing was applied to the raw data. Finally, in order to highlight the amplitude modulation of the 2.4 Myr cycle band by the ~9 Myr cycles in the astronomical variations, I used evolutive harmonic analysis (EHA) with a function computing a running periodogram of a uniformly sampled time series using FFTs of zero-padded segments, and normalized to the highest amplitudes (Supplementary Figure 3).

References

  1. Mitchel, J. J. An overview of climatic variability and its causal mechanisms. Quat. Res. 6, 481–493 (1976).

    Article  Google Scholar 

  2. Hays, J. D., Imbrie, J. & Schackleton, N. J. Variations in the Earth’s orbit: Pacemaker of the ice ages. Science 194, 1121–1132 (1976).

    ADS  CAS  Article  Google Scholar 

  3. Pelletier, J. D. Analysis and Modeling of the Natural Variability of Climate. Journal of Climate 10, 1331–1342 (1997).

    ADS  Article  Google Scholar 

  4. Zachos, J. C., Pagani, M., Sloan, L., Thomas, E. & Billups, K. Trends, Rhythms, and Aberrations in Global Climate 65 Ma to Present. Science 292, 686–693 (2001).

    ADS  CAS  Article  Google Scholar 

  5. Jenkyns, H. C. Geochemistry of oceanic anoxic events. Geochem. Geophys. Geosyst. 11, Q03004, https://doi.org/10.1029/2009GC002788 (2010).

    ADS  CAS  Article  Google Scholar 

  6. Boulila, S., Galbrun, B., Laskar, J. & Pälike, H. A ~9 myr cycle in Cenozoic δ13C record and long-term orbital eccentricity modulation: Is there a link? Earth Planet. Sci. Lett. 317–318, 273–281 (2012).

    ADS  Article  Google Scholar 

  7. Cramer, B. S., Toggweiler, J. R., Wright, J. D., Katz, M. E. & Miller, K. G. Ocean overturning since the Late Cretaceous: Inferences from a new benthic foraminiferal isotope compilation. Paleoceanography 24, PA4216, https://doi.org/10.1029/2008PA001683 (2009).

    ADS  Article  Google Scholar 

  8. Friedrich, O., Norris, R. D. & Erbacher, J. Evolution of middle to Late Cretaceous oceans—A 55 m.y. record of Earth’s temperature and carbon cycle. Geology 40, 107–110 (2012).

    ADS  CAS  Article  Google Scholar 

  9. Vail, P. R. et al. Seismic stratigraphy and global changes of sea level. In: C.E. Payton, C.E. Ed., Seismic Stratigraphy – Applications to Hydrocarbon Exploration. Mem. AAPG 26, 49–212 (1977).

  10. Rampino, M. R. & Caldeira, K. Periodic impact cratering and extinction events over the last 260 million years. MNRAS 454, 3480–3484 (2015).

    ADS  Article  Google Scholar 

  11. Rampino, M. R. & Caldeira, K. Major episodes of geologic change: correlations, time structure and possible causes. Earth Planet. Sci. Lett. 114, 215–227 (1993).

    ADS  Article  Google Scholar 

  12. Kaiho, K. & Saito, S. Oceanic crust production and climate during the last 100 Ma. Terra Nova 6, 376–384 (1994).

    ADS  Article  Google Scholar 

  13. Cogné, J.-P. & Humler, E. Trends and rhythms in global seafloor generation rate. Geochem. Geophys. Geosyst. 7, https://doi.org/10.1029/2005GC001148 (2006).

  14. DeCelles, P. G., Ducea, M. N., Kapp, P. & Zandt, G. Cyclicity in Cordilleran orogenic systems. Nature Geosciences 2, 251–257 (2009).

    ADS  CAS  Article  Google Scholar 

  15. Meyers, S. R. & Peters, S. E. A 56 million year rhythm in North American sedimentation during the Phanerozoic. Earth Planet. Sci. Lett. 303, 174–180 (2011).

    ADS  CAS  Article  Google Scholar 

  16. Boulila, S., Laskar, J., Haq, B. U., Galbrun, B. & Hara, N. Long-term cyclicities in Phanerozoic sea-level sedimentary record and their potential drivers. Global and Planetary Change 165, 128–136 (2018).

    ADS  Article  Google Scholar 

  17. Shackleton, N. J. & Imbrie The δ18O spectrum of oceanic deep water over a five-decade band. Climatic Change 16, 217–230 (1990).

    ADS  Article  Google Scholar 

  18. Raup, D. M. & Sepkoski, J. J. Jr. 1984. Periodicity of extinctions in the geologic past. Proc. Natl. Acad. Sci. USA 81, 801–805 (1984).

    ADS  CAS  Article  Google Scholar 

  19. Rampino, M. R. & Stothers, R. B. Geological rhythms and cometary impacts. Science 226, 142–143 (1984).

    Article  Google Scholar 

  20. Beaufort, L. Climatic importance of the modulation of the 100 kyr cycle inferred from 16 m.y. long Miocene records. Paleoceanography 9, 821–834 (1994).

    ADS  Article  Google Scholar 

  21. Lourens, L. J. & Hilgen, F. J. Long-periodic variations in the earth’s obliquity and their relation to third-order eustatic cycles and Late Neogene glaciations. Quat. Int. 40, 43–52 (1997).

    Article  Google Scholar 

  22. Olsen, P. E. & Kent, D. V. Long-term Milankovitch cycles from the Late Triassic and Early Jurassic of eastern North America and their implications for the calibration of the Early Mesozoic timescale and the long term behavior of the planets. Royal Soc. (London). Phil. Trans. Ser. A. 357, 1761–1788 (1999).

    ADS  Article  Google Scholar 

  23. Wade, B. S. & Pälike, H. Oligocene climate dynamics. Paleoceanography 19, PA4019, https://doi.org/10.1029/2004PA001042 (2004).

    ADS  Article  Google Scholar 

  24. Pälike, H. et al. The Heartbeat of the Oligocene Climate System. Science 314, 1894–1898 (2006).

    ADS  Article  Google Scholar 

  25. van Dam, J. A. et al. Long-period astronomical forcing of mammal turnover. Nature 443, 687–691 (2006).

    ADS  Article  Google Scholar 

  26. Lirer, F. et al. Astronomically forced teleconnection between Paratethyan and Mediterranean sediments during the Middle and Late Miocene. Palaeogeogr. Palaeoclimatol. Palaeoecol. 275, 1–13 (2009).

    Article  Google Scholar 

  27. Abels, H. A., Abdul Aziz, H., Krijgsman, W., Smeets, S. J. B. & Hilgen, F. J. Long-period eccentricity control on sedimentary sequences in the continental Madrid Basin (middle Miocene, Spain). Earth Planet. Sci. Lett. 289, 220–231 (2010).

    ADS  CAS  Article  Google Scholar 

  28. Boulila, S. et al. On the origin of Cenozoic and Mesozoic third-order eustatic sequences. Earth-Sci. Rev. 109, 94–112 (2011).

    ADS  CAS  Article  Google Scholar 

  29. Liebrand, D. et al. Cyclostratigraphy and eccentricity tuning of the early Oligocene through early Miocene (30.1–17.1Ma): Cibicides mundulusstable oxygen and carbon isotope records from Walvis Ridge Site 12. Earth Planet. Sci. Lett. 450, 392–405 (2016).

    ADS  CAS  Article  Google Scholar 

  30. Liebrand, D. et al. Evolution of the early Antarctic ice ages. Proc Natl Acad Sci USA 114, 3867–3872 (2017).

    ADS  CAS  Article  Google Scholar 

  31. Valero, L., Garcés, M., Cabrera, L., Costa, E. & Sáez, A. 20 Myr of eccentricity paced lacustrine cycles in the Cenozoic Ebro Basin. Earth Planet. Sci. Lett. 408, 183–193 (2014).

    ADS  CAS  Article  Google Scholar 

  32. Valero, L., Cabrera, L., Sáez, A. & Garcés, M. Long-period astronomically-forced terrestrial carbon sinks. Earth Planet. Sci. Lett. 444, 131–138 (2016).

    ADS  CAS  Article  Google Scholar 

  33. Ikeda, M. & Tada, R. Long period astronomical cycles from the Triassic to Jurassic bedded chert sequence (Inuyama, Japan), Geologic evidences for the chaotic behavior of solar planets. Earth Planets Space 65, 1–10 (2013).

    Article  Google Scholar 

  34. Sprovieri, M. et al. Late Cretaceous orbitally-paced carbon isotope stratigraphy from the Bottaccione Gorge (Italy). Palaeogeo. Palaeoclim. Palaeoecol. 379–380, 81–94 (2013).

    ADS  Article  Google Scholar 

  35. Martinez, M. & Dera, G. Orbital pacing of carbon fluxes by a 9-My eccentricity cycle during the Mesozoic. Proc. Natl. Acad. Sci. 112, 12604–12609 (2015).

  36. Svensmark, H. Imprint of Galactic dynamics on Earth’s climate. Astron. Nachr./AN 327(9), 866–870 (2006).

    ADS  Article  Google Scholar 

  37. Rampino, M. R. Disc dark matter in the Galaxy and potential cycles of extraterrestrial impacts, mass extinctions and geological events. MNRAS 448, 1816–1820 (2015).

    ADS  CAS  Article  Google Scholar 

  38. Bahcall, J. N. & Bahcall, S. The Sun’s motion perpendicular to the galactic plane. Nature 316, 706–708 (1985).

    ADS  Article  Google Scholar 

  39. Stothers, R. B. 1998. Galactic disk dark matter, terrestrial impact cratering and the law of large numbers. Mon. Not. R. Astron. Soc. 300, 1098–1104 (1998).

    ADS  Article  Google Scholar 

  40. Randal, L. & Reece, M. Dark matter as a trigger for periodic comet impacts. Phys. Rev. Lett. 112(161301), 1–161301.5 (2014).

    Google Scholar 

  41. Svensmark, H. Cosmoclimatology: a new theory emerges. Astron. Geophys. 48(1), 18–1.24 (2007).

    ADS  Article  Google Scholar 

  42. Gies, D. R. & Helsel, J. W. Ice age epochs and the sun’s path through the galaxy. Astrophys. J. 626, 844–847 (2005).

    ADS  Article  Google Scholar 

  43. Kirkby, J. Cosmic rays and climate. Surveys in Geophysics 28, 333–375, https://doi.org/10.1007/s10712-008-9030-6 (2007).

    ADS  Article  Google Scholar 

  44. Huybers, P. & Langmuir, C. Feedback between deglaciation, volcanism and atmospheric CO2. Earth Planet. Sci. Lett. 286, 479–491 (2009).

    ADS  CAS  Article  Google Scholar 

  45. Daradich, A., Huybers, P., Mitovica, J. X., Chan, N.-H. & Austermann, J. The influence of true polar wander on glacial inception in North America. Earth Planet. Sci. Lett. 461, 96–104 (2017).

    ADS  CAS  Article  Google Scholar 

  46. Kutterolf, S. et al. A detection of Milankovitch frequencies in global volcanic activity. Geology 41, 227–230, https://doi.org/10.1130/G33419.1 (2012).

    ADS  Article  Google Scholar 

  47. Crowley, J. W., Katz, R. F., Huybers, P., Langmuir, H. C. & Sung-Hyun, P. Glacial cycles drive variations in the production of oceanic crust. Science 347(6227), 1237–1240 (2015).

    ADS  CAS  Article  Google Scholar 

  48. Huybers, P. & Langmuir, C. H. Delayed CO2 emissions from mid-ocean ridge volcanism as a possible cause of late-Pleistocene glacial cycles. Earth Planet. Sci. Lett. 457, 238–249 (2017).

    ADS  CAS  Article  Google Scholar 

  49. Lamb, S. & Davis, P. M. Cenozoic climate change as a possible cause for the rise of the Andes. Nature 425, 792–297 (2003).

    ADS  CAS  Article  Google Scholar 

  50. Lagabrielle, Y., Goddéris, Y., Donnadieu, Y., Malavieille, J. & Suarez, M. The tectonic history of Drake Passage and its possible impacts on global climate. Earth Planet. Sci. Lett. 279, 197–211 (2009).

    ADS  CAS  Article  Google Scholar 

  51. Whipple, K. X. The influence of climate on the tectonic evolution of mountain belts. Nature Geosciences 2, 97–104 (2009).

    ADS  CAS  Article  Google Scholar 

  52. Laskar, J. et al. A long-term numerical solution for the insolution quantities of the Earth. Astronomy and Astrophysics 428, 261–285 (2004).

    ADS  Article  Google Scholar 

  53. Laskar, J., Fienga, A., Gastineau, M. & Manche, H. La2010: A new orbital solution for the long term motion of the Earth. Astron. Astrophys. 532, A89, https://doi.org/10.1051/0004-6361/201116836 (2011).

    ADS  Article  MATH  Google Scholar 

  54. Meyers, S. R., 2014. Astrochon: An R package for astrochronology. Available at: https://cran.rproject.org/web/packages/astrochron/index.html.

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Acknowledgements

I thank O. Friedrich (Heidelberg University), who kindly provided the compiled benthic foraminifera isotope data. This work was supported by INSU-SYSTER grant. I acknowledge reviews of two anonymous colleagues and the associate editor that led to important revisions of my manuscript.

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Boulila, S. Coupling between Grand cycles and Events in Earth’s climate during the past 115 million years. Sci Rep 9, 327 (2019). https://doi.org/10.1038/s41598-018-36509-7

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