Slow-downs and speed-ups of India–Eurasia convergence since ∼20Ma : Data-noise, uncertainties and dynamic implications

Slow-downs and speed-ups of India–Eurasia convergence since ∼20Ma : Data-noise, uncertainties and dynamic implications

Earth and Planetary Science Letters 367 (2013) 146–156 Contents lists available at SciVerse ScienceDirect Earth and Planetary Science Letters journa...

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Earth and Planetary Science Letters 367 (2013) 146–156

Contents lists available at SciVerse ScienceDirect

Earth and Planetary Science Letters journal homepage: www.elsevier.com/locate/epsl

Slow-downs and speed-ups of India–Eurasia convergence since  20 Ma: Data-noise, uncertainties and dynamic implications Giampiero Iaffaldano a,n, Thomas Bodin b, Malcolm Sambridge a a b

Research School of Earth Sciences, The Australian National University, Australia Department of Earth and Planetary Sciences, University of California at Berkeley, USA

a r t i c l e i n f o

a b s t r a c t

Article history: Received 16 August 2012 Received in revised form 22 January 2013 Accepted 16 February 2013 Editor: Y. Ricard

India–Somalia and North America–Eurasia relative motions since Early Miocene (  20 Ma) have been recently reconstructed at unprecedented temporal resolution (o 1 Myr) from magnetic surveys of the Carlsberg and northern Mid-Atlantic Ridges. These new datasets revamped interest in the convergence of India relative to Eurasia, which is obtained from the India–Somalia–Nubia–North America–Eurasia plate circuit. Unless finite rotations are arbitrarily smoothed through time, however, the reconstructed kinematics (i.e. stage Euler vectors) appear to be surprisingly unusual over the past  20 Myr. In fact, the Euler pole for the India–Eurasia rigid motion scattered erratically over a broad region, while the associated angular velocity underwent sudden increases and decreases. Consequently, convergence across the Himalayan front featured significant speed-ups as well as slow-downs with almost no consistent trend. Arguably, this pattern arises from the presence of data-noise, which biases kinematic reconstructions—particularly at high temporal resolution. The rapid and important India–Eurasia platemotion changes reconstructed since Early Miocene are likely to be of apparent nature, because they cannot result even from the most optimistic estimates of torques associated, for instance, with the descent of the Indian slab into Earth’s mantle. Our previous work aimed at reducing noise in finiterotation datasets via an expanded Bayesian formulation, which offers several advantages over arbitrary smoothing methods. Here we build on this advance and revise the India–Eurasia kinematics since  20 Ma, accounting also for three alternative histories of rifting in Africa. We find that India–Eurasia kinematics are simpler and, most importantly, geodynamically plausible upon noise reduction. Convergence across the Himalayan front overall decreased until  10 Ma, but then systematically increased, albeit moderately, towards the present-day. We test with global dynamic models of the coupled mantle/ lithosphere system how a previously proposed uplift of the Tibetan plateau by 1–2 km, as well as the break-up of the Indo-Australian plate into the India and Australia units, impact the kinematic record from  20 to  10 Ma. Our modelling results indicate that the convergence slow-down until  10 Ma resulted chiefly from the Indo-Australian break-up. However, the tectonic scenario yielding the best fit to kinematic reconstructions is indeed one where the Tibetan mean elevation increased by 1–2 km before the Indo-Australian break-up was accomplished. & 2013 Elsevier B.V. All rights reserved.

Keywords: finite-rotations noise India–Eurasia kinematics Indian plate dynamics

1. Introduction Over four decades of ocean-floor exploration resulted in a wealth of geophysical data constraining past motions of lithospheric plates (e.g. Gordon and Jurdy, 1986; DeMets et al., 2010) from finite rotations of the ocean-floor, which provide the relative paleo-position of spreading plates across mid-oceanic ridges at ¨ a typical temporal resolution of  10 Myr (e.g. Muller et al., 2008; Torsvik et al., 2010; Gurnis et al., 2012). More recently, Merkouriev and DeMets (2006, 2008) reconstructed relative plate

n

Corresponding author. Tel.: þ61 261253424. E-mail address: [email protected] (G. Iaffaldano).

0012-821X/$ - see front matter & 2013 Elsevier B.V. All rights reserved. http://dx.doi.org/10.1016/j.epsl.2013.02.014

motions since  20 Ma across the Carlsberg Ridge, where India and Somalia spread apart, as well as across the northern MidAtlantic Ridge, where North America diverges from Eurasia, at the unprecedented resolution of less than 1 Myr from magnetic surveys of the ocean-floor. Following these significant advances, there has been renewed interest in exploring the past convergence of the Indian plate towards Eurasia, which is reconstructed from the India–Somalia–Nubia–North America–Eurasia plate circuit. Several authors merged the new datasets from Merkouriev and DeMets (2006, 2008) with previously published, lower-temporal-resolution reconstructions to obtain the paleo-geography of India relative to Eurasia since the Cretaceous (Molnar and Stock, 2009; Copley et al., 2010; van Hinsbergen et al., 2011).

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Molnar and Stock (2009) were the first to take advantage of high-temporal-resolution finite rotations across both the Carlsberg and Mid-Atlantic Ridges by Merkouriev and DeMets (2006, 2008). In Fig. 1 we use their reconstruction to plot the distance travelled by, and the paleo-geography of, a point currently located in the middle of the India–Eurasia margin (811E, 281N). It is a common practice to infer plate kinematics from this type of plots simply as the rate at which the travelled distance increases through time, averaged over arbitrarily chosen time-windows spanning several reconstructed finite rotations. Doing so indicates that the average India–Eurasia convergence rate systematically decreased since  70 Ma, and particularly by some 40% since  20 Ma. Based chiefly on this evidence, Molnar and Stock (2009) argued for a rapid increase by 1–2 km of the mean elevation of Tibet occurring some time since 20 Ma, because the gravitational potential energy of topographic features has the ability to slow down plate convergence (Iaffaldano et al., 2006). Such hypothesis is furthermore supported by field evidence of deformation around 15–10 Ma virtually everywhere along the plateau margins (Molnar and Stock, 2009, and references therein). In order to infer plate kinematics (i.e. stage Euler vectors) at the maximum temporal resolution permitted by finite-rotation datasets, however, one simply needs to differentiate the associated rotation matrices with respect to time (e.g. Cox and Hart, 1986). In Fig. 2a we do so for the India/Eurasia relative motion using finite rotations reconstructed by Molnar and Stock (2009). The scenario arising is indeed more complex than a continuous slow-down of convergence, particularly over the past  20 Myr. Firstly, Euler poles seem to scatter erratically over a broad area. Secondly, while a systematic slow-down in angular velocity is evident from  70 to  20 Ma, this is not the case over the past  20 Myr, where instead the reconstruction yields pronounced increases as well as decreases. This pattern

Fig. 1. Distance (black empty dots) travelled since  70 Ma by a point currently located in the middle of the India–Eurasia margin (811E, 281N), according to the reconstruction of India–Eurasia finite rotations by Molnar and Stock (2009). In red is the average convergence rate over time-windows (red segments), each comprising several consecutive finite rotations. Inlet shows the associated paleogeography and its confidence regions. Present-day plate boundaries are in grey. AR, Arabia; AU, Australia; EU, Eurasia; IN, India; SO, Somalia. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

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Fig. 2. (a) Stage Euler vectors (dots) for the rigid motion of India relative to Eurasia since  70 Ma, obtained differentiating with respect to time the rotation matrices associated with the reconstruction of Molnar and Stock (2009). Dots indicate the poles of rotation, connected through consecutive stages. Colour indicates the magnitude of the associated angular velocity. The most recent Euler vector is circled in black, while the one for the stage immediately before 20 Ma is circled in red. Dot-size progressively increases towards the present-day. Euler poles scatter erratically over a broad region, and undergo significant increases as well as decreases in angular velocity. Present-day plate boundaries are in black, coastline in grey. NU, Nubia; other plate labels as in Fig. 1. (b) India–Eurasia convergence rate since  70 Ma, computed at (811E, 281N) on the present-day margin from the Euler vectors in (a). Confidence ranges are computed by propagating covariance matrices associated with finite rotations. The pattern of convergence over the past  20 Myr, inferred by rigorous differentiation of rotation matrices, is more complex than a continuous slow-down. (c) Rate at which torques upon India need to vary in order to result in the kinematic changes shown in (a) (see main text and Supplementary information for details). Between  20 Ma and the present-day the required variation-rate mostly exceeds an optimistic estimate of the maximum variation-rate available to India. Note that over this period the relative India–Somalia and North America–Eurasia paleopositions are reconstructed by Merkouriev and DeMets (2006, 2008) at higher temporal resolution, and are likely associated with a large noise-to-signal ratio. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

becomes even more evident when we reconstruct temporal variations in convergence rate at the India–Eurasia margin (Fig. 2b). Convergence decreased systematically from  70 to  20 Ma, with a more pronounced slow-down around 45 Ma that has been linked to the collision of continental India with China (Patriat and Achache, 1984) – although the timing of this event is still debated (White and Lister, 2012). On the other hand, over the past  20 Myr convergence underwent significant slow-downs and speed-ups with almost no consistent pattern. One can derive similar inferences from the reconstruction of van Hinsbergen et al. (2011). Larger error-bars over this period simply result from the higher temporal resolution of the reconstruction, because the summation of confidence ranges of two consecutive finite rotations is divided by the elapsed time, under the approximation of small angles suitable for ocean-floor finite rotations. What becomes clear from this analysis is that extrapolating

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convergence rates from paleo-distance diagrams (e.g. Fig. 1) over periods encompassing several reconstructed finite rotations does not fully capture the actual kinematics implied by the data, because (1) it downgrades the native temporal resolution of reconstructions and (2) relies on an arbitrary choice of the averaging time-window, which does not yield a unique result. On a more fundamental level, there is no need to resort to the integral of velocity (i.e. the paleo-distance) to make kinematic inferences, when finite rotations allow computing Euler vectors simply by differentiation with respect to time. The logical question arising from Fig. 2b is What tectonic forces could result in the reconstructed India–Eurasia kinematics since  20 Ma? If on one hand mountain building may slow down convergence, on the other it is somewhat difficult to envisage geologic processes that could generate increases and decreases of convergence as rapid and significant as the reconstructed ones. Arguably, finite-rotation datasets are accompanied by substantial noise, which hampers our ability to resolve properly the kinematic record, particularly at high temporal resolution. Noise is the unknown finite-rotation fraction actually unrelated to plate motions. It arises mainly from the challenge of (1) identifying precisely magnetic lineations of the ocean-floor, often from insufficiently long segments of slowly spreading ridges, but also of (2) accurately establishing the geomagnetic reversal timescales (e.g. Cande and Kent, 1995; Lourens et al., 1995). To substantiate our statement, in Section 2 we estimate the rate at which torques need to be built upon India in order to result in the reconstructed Euler vectors. We find that these far exceed the most optimistic estimates of torque variation-rates associated, for instance, with the descent of the Indian slab into Earth’s mantle or with the evolution of the large plateau. In this study we build on our previous work (Iaffaldano et al., 2012), where we expanded the widely known Bayesian formulation (e.g. Malinverno, 2002; Malinverno and Briggs, 2004; Sambridge et al., 2006; Bodin and Sambridge, 2009) and applied it for the first time to finite-rotation datasets, to efficiently reduce noise within the India–Somalia and North America–Eurasia plate motion records since  20 Ma. Using these new results, we evaluate the convergence of India towards Eurasia from the India–Somalia–Nubia–North America– Eurasia plate circuit, accounting also for three previously proposed histories of the more-uncertain kinematics across the East Africa Rift. Finally, we use global models of the coupled mantle/ lithosphere system to test geophysical hypotheses that explain our newly derived India–Eurasia converge over the past  20 Myr.

2. Finite-rotations noise and torque variation-rates upon the Indian plate In the past the development of statistical methods – based chiefly on weighted least squares – to compute finite rotations from plate-boundary crossings and fracture zones (e.g. Morgan, 1968; Francheteau et al., 1970; Pilger, 1978; Hellinger, 1981; Chang, 1988) was accompanied by significant efforts to estimate the associated confidence range, typically expressed in the form of covariance matrices (e.g. Royer and Chang, 1991). For instance, Hellinger (1981) employed putative standard deviations consisting of a fraction of the average uncertainty on magnetic-anomaly points and fracture-zone widths. Stock and Molnar (1983), however, showed that realistic confidence ranges may be twice as large as what commonly computed. More recently, Merkouriev and DeMets (2006) resorted to bootstrapping methods to estimate confidence regions. The bias that noise poses in reconstructing finite rotations and plate kinematics might have been deemed of second-order importance in the past, mainly because reconstructions featured a relatively low temporal resolution of  10 Myr (e.g. Torsvik et al., 2010; Gurnis et al., 2012). Consequently, low

noise-to-signal ratio resulted in a negligible mistake propagating into Euler vectors. However, today we begin to enjoy reconstructions of finite rotations at higher temporal resolution, often of less than 1 Myr (DeMets et al., 2005; Merkouriev and DeMets, 2006, 2008; Croon et al., 2008), with more to come in the near future. At this unprecedented level of resolution the noise-to-signal ratio should not be neglected, particularly when combining several datasets along plate circuits. A simple example may help illustrate this notion. Let us assume that the relative paleo-position of two spreading plates at times t1 and t2 is constrained by two finite rotations of y1 and y2 4 y1 degrees, derived from ocean-floor observations. For the sake of simplicity, the axis about which plates rotate, as well as the spreading centre separating them are both assumed to remain fixed from t1 to t2. Doing so allows one to use scalar algebra, rather than the algebra of rotation matrices; but key inferences from this example demonstrably hold true also for rotations about axes that vary through time. ðy2 y1 Þ is the angle accrued between the two plates from t1 to t2, while ðt 2 t 1 Þ is a measure of the temporal resolution of the reconstruction. Let us also assume that in both y1 and y2 noise consists of Dy degrees of random departure from the true angles. Because noise arises chiefly from the challenge of identifying precisely magnetic lineations of the ocean-floor, Dy does not depend on the particular resolution of the reconstruction. The reconstructed angular velocity of the Euler vector for the rigid relative plate-motion from t1 to t2 is obtained by differentiating rotated angles with respect to time

or ¼

ðy2 y1 Þ ðt 2 t 1 Þ

ð1Þ

However, the presence of noise implies that the true angular velocity is in fact

ot ¼

ðy2 y1 Þ 2Dy 7 ðt 2 t 1 Þ ðt 2 t 1 Þ

ð2Þ

The last term on the right-hand side of (2) is a measure of the discrepancy between true and reconstructed angular velocities, while the noise-to-signal ratio is ðot or Þ

or

¼7

2Dy ðy2 y1 Þ

ð3Þ

We note that ðy2 y1 Þ becomes smaller for increasing temporal resolution of finite-rotation reconstructions, because the relative paleo-position of spreading plates is reconstructed over shorter time intervals. This yields a larger noise-to-signal ratio. More importantly, from (2) it is evident that the mistake we make in computing the angular velocity increases with the temporal resolution of reconstructions. In this example we have explicitly neglected the additional contribution of noise associated with the particular geomagnetic reversal timescale (e.g. Cande and Kent, 1995; Lourens et al., 1995), which arises from dating basalts samples and ocean-floor sediments along spreading ridges through radiochronology and paleontology. In reality it contributes further to augment our ignorance on the reconstructed kinematics, therefore enforcing our inference. However, geomagnetic reversal timescales benefit from more precise astronomical calibration (e.g. Shackleton et al., 1990) back to  25 Ma. For this reason, one may argue that the noise in finite rotations younger than this age arises predominantly from ocean-floor magnetic lineations. The significant bias that finite-rotation noise poses on estimates of Euler vectors becomes even clearer when these are used to make geodynamic inferences on torques controlling plate motions. Temporal changes in Euler vectors, as those shown in Fig. 2a, ultimately reflect variations and readjustments of torques acting upon plates, with the net balance remaining null at any point in time. As the rotation of Eurasia with respect to Earth’s

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¨ mantle since  70 Ma is negligible (Muller et al., 2008; Torsvik et al., 2010; Gurnis et al., 2012), each Euler vector in Fig. 2a may be used to estimate with reasonable confidence the torque generated upon the Indian lithosphere base by shearing over the viscous mantle (see Supplementary information). Further, at any time the shearing torque must be equal and opposite to the summation of torques generated by all other forces acting upon India, such as the net pull of the subducted Indian slab, the frictional resistance along the Indian brittle margins, or the resisting force generated by the Tibetan plateau. Thus, any two ƒ! temporally-consecutive Euler vectors – for instance o1 describƒ! ing motion from t1 to tm; o2 describing motion from tm to t2 – allow inferring the torque variation required upon India so that its ƒ! ƒ! motion varies from o1 to o2 (see Supplementary information). Such torque variation arises from a change in one or more forces acting upon India and occurs within a time period equal at most to ðt 2 t 1 Þ, but possibly shorter. Based on these arguments, we compute in Fig. 2c the minimum torque variation-rate – that is, the rate at which torques vary through time – required upon India so that its Euler vectors evolve as prescribed by the reconstruction of Molnar and Stock (2009) (Fig. 2a). The largest uncertainty in our estimates is the ratio between the viscosity of Earth’s mantle and the distance over which mantle stresses decay to zero. We used a rather wide range for such ratio – spanning two order of magnitudes – inferred from typical flow-velocities excited by plate motions – few cm/yr – and shear stresses – few MPa – within Earth’s mantle. In the Supplementary information we provide an account of other second-order sources of uncertainty in our estimate. In Fig. 2c we compare the estimated minimum torque variation-rates required upon India with the torque variationrate generated by the subduction of a thick (120 km), fastsubducting (15 cm/yr) slab along a 5000-km-long convergent margin. Arguably, these represent optimistic conditions that maximise the variation-rate we can expect upon India, therefore yielding an upper limit. In fact, over the past  70 Myr subduction speed was consistently slower than 15 cm/yr along the Himalayan front, which remained shorter than 5000 km. Furthermore, torque variation-rates arising from other tectonic forces (e.g. mountain building ) are demonstrably lower than the variationrate generated by fast subduction (see Supplementary information). It is clear from Fig. 2c that variation-rates required upon India between  70 and  20 Ma remain predominantly below the tectonic maximum available, arguably because noisy finiterotations are reconstructed at a resolution of  10 Myr or more. This yields a low noise-to-signal ratio. Instead, over the past  20 Myr, when the kinematic record includes the contribution from high-resolution reconstructions of India–Somalia and North America–Eurasia motions, variation-rates far exceed the maximum available. In other words, the reconstructed rigid motions of India since  20 Ma vary too rapidly and too greatly to be geodynamically plausible, and are unlikely to result even from the most rapidly-varying force upon India one can reasonably envisage. From these arguments we must conclude that the finer is the temporal resolution of finite-rotation reconstructions, the more data-noise limits our ability to derive correctly the kinematic record, and thus to make geodynamic inferences. Typically, one tries to mitigate the influence of noise in hightemporal-resolution reconstructions of plate motions by applying some type of data-smoothing. For instance, a straightforward average over subsequent time-windows – as in Fig. 1 – or the moving-average method, where plate motions are smoothed over a prescribed time-window that is progressively shifted in time (e.g. DeMets et al., 2005; Merkouriev and DeMets, 2006, 2008; Croon et al., 2008). However, several drawbacks are inevitably associated with smoothing: (1) It systematically downgrades the

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native temporal resolution of reconstructions. (2) It does not yield a unique kinematic pattern, because this strongly depends on the length of the averaging time-window. (3) There is no universal criterion to choose the time-window length, and any choice remains arbitrary. (4) Since plates change their motions virtually instantaneously through time, smoothing prevents one from detecting precisely the time of these sharp kinematic features, as they are systematically averaged-out.

3. Reconstruction of India–Eurasia convergence since  20 Ma: Noise-reduction and kinematic uncertainties We reconstruct the rigid motion of India with respect to Eurasia from the India–Somalia–Nubia–North America–Eurasia plate circuit. Fig. 3 provides an account of the previously-published data we use. We derive the India–Somalia and North America–Eurasia motions from our previous work (Iaffaldano et al., 2012), where we introduced an extended Bayesian formulation (Malinverno, 2002; Malinverno and Briggs, 2004; Sambridge et al., 2006; Bodin and Sambridge, 2009) to significantly reduce noise from the high-temporal-resolution finite rotations by Merkouriev and DeMets (2006, 2008). The details of our method have already been discussed in our previous study (Iaffaldano et al., 2012). Here we shall only recall that our technique allows reducing – but not distinguish between – noise associated with mapping reversals from the ocean-floor magnetisation and with establishing the geomagnetic reversal timescale—although we anticipate the latter to be of minor importance for the reasons explained in Section 2. The improved efficiency of our approach, as well as its ability to overcome the limitations of more classical smoothing methods, have been demonstrated through synthetic tests (see Iaffaldano et al., 2012, and associated Supplementary information). The resulting kinematics indicate that India–Somalia spreading slowed down continuously by  30% from 20 to  5 Ma, after which it remained stable. Spreading between North America and Eurasia decreased from  20 to  15 Ma; it then increased gently until  7 Ma. Merkouriev and DeMets (2008) were the first to identify a previously undetected event of significant slow-down in the MidAtlantic around this time. North America–Eurasia motion remained then constant until the present-day. ¨ We rely on Muller et al. (1999) for the relative motion between Nubia and North America, which is constrained by a set of two finite rotations for the paleo-position since  19 Ma and

Fig. 3. Studies providing finite rotations at various stages over the past  20 Myr, which we use to reconstruct India–Eurasia Euler vectors. We resort to our previous work (Iaffaldano et al., 2012), where we reduced noise in India–Somalia and North America–Eurasia finite rotations by Merkouriev and DeMets (2006, 2008). We also account for three different reconstructions of the more uncertain rifting in Africa (see main text for details).

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 10 Ma. Over these intervals the stage rotation pole remained fairly stable in the Arctic region, while the angular velocity ranged from 2.5 to 2.7 deg/Myr. McQuarrie et al. (2003) provided an alternative reconstruction based on a single finite rotation since  20 Ma by Klitgord and Schouten (1986). However, such reconstruction yields essentially the same Euler vector as the study of ¨ Muller et al. (1999). The largest uncertainty in reconstructing the convergence of India towards Eurasia is undoubtedly the kinematics of divergence between Nubia and Somalia across the East African Rift. Stamps et al. (2008) constrained the present-day relative motion from geodetic measurements, while Horner-Johnson et al. (2007) reconstructed the kinematics since  3:2 Ma from data collected along the Southwest Indian Ridge and the Andrew Bain Fracture Zone. The geologically- and geodetically-derived Euler vectors agree remarkably well, suggesting that the Somalia–Nubia motion did not vary significantly over the past  3:2 Myr. More recent estimates of the past  3:2 Myr average Euler vector (DeMets et al., 2010) confirm this inference. On the contrary, the relative motion at earlier stages is matter of debate. Lemaux et al. (2002) and Royer et al. (2006) provided two very different finite rotations of Nubia relative to Somalia since  11 Ma. Specifically, the study by Royer et al. (2006) reconstructed a total rotation of 1.271 about a pole located in the South Atlantic, somewhat in agreement with estimates of the geologically recent and current plate motion (Horner-Johnson et al., 2007; Stamps et al., 2008). However, Patriat et al. (2008) challenged the identification of anomaly 5n.2o (  11 Ma) put forth by Royer et al. (2006). The alternative finite rotation by Lemaux et al. (2002), on the other hand, constrained the relative rotation to 0.221 about

an axis whose pole locates along the coast of Brazil. Molnar and Stock (2009) used the latter in their reconstruction, but conceded that these kinematics would imply a very unusual history of motion across the East African Rift, one that is not mirrored in the continental geologic record. We are presented with a situation where the only two studies constraining the finite rotation for the Somalia–Nubia paleoposition at  11 Ma (Lemaux et al., 2002; Royer et al., 2006) yield very different results, and have been questioned in the past based on independent evidence (Patriat et al., 2008; Molnar and Stock, 2009). The geologic record of continental Africa might provide further insight into the kinematics of rifting. Much evidence from structural, petrological and geochronological data collected along the East African Rift suggest that divergence between Nubia and Somalia began near 11 Ma (e.g. Woldegabriel et al., 1990; Wolfenden et al., 2004; Bonini et al., 2005; Pik et al., 2008). At the same time, these studies found no indication for a different spreading regime or for stronger rifting activity since then. Therefore an alternative, geologically plausible history of the relative Somalia– Nubia motion is that it began at  11 Ma and remained essentially steady until the present-day. In this view, the Somalia–Nubia Euler vector since  3:2 Ma by Horner-Johnson et al. (2007) may be hold valid back to  11 Ma, as suggested by Iaffaldano et al. (2011). In the hope that more data to come will elucidate the kinematics of rifting in Africa, we reconstruct Euler vectors for the India–Eurasia relative motion since  20 Ma by combining the above-mentioned data with the three alternative Somalia– Nubia motions previously proposed. Specifically, in Reconstruction 1 we use data from Horner-Johnson et al. (2007) for the past

Fig. 4. (a)–(c) Similar to Fig. 2a, for our Reconstruction 1–3. (d)–(f) Similar to Fig. 2b, for our Reconstruction 1–3. (g)–(i) Similar to Fig. 2c, for our Reconstruction 1–3.

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 3:2 Myr in conjunction with the reconstruction of Lemaux et al. (2002). Instead, in Reconstruction 2 we merge the same data from Horner-Johnson et al. (2007) with the reconstruction of Royer et al. (2006). Finally, in Reconstruction 3 we extend the Somalia– Nubia Euler vector by Horner-Johnson et al. (2007) back to  11 Ma. Differences among our reconstructions arise solely from the particular history of motion across the East African Rift between  11 and  3:2 Ma. We obtain confidence ranges by propagating the covariance matrices associated with each platepair of the India–Somalia–Nubia–North America–Eurasia circuit. Euler vectors and their covariances are enclosed as Supplementary online data. In Fig. 4a–c we compare Euler vectors from our three reconstructions, while in Fig. 4d–f we compute the associated history of convergence at (811E, 281N) across the present-day India–Eurasia margin. A common, striking feature of all three reconstructions is that upon noise reduction Euler poles wander much less erratically along more coherent paths and over a smaller region. As a result, temporal variations in convergence rate are more gentle than those inferred from noisy reconstructions. We also note that the precise time of plate-motion changes, particularly the most significant ones, appear more clearly upon noise reduction through Bayesian inference, thus allowing one to make more precise geodynamic inferences on the driving and resisting forces acting upon the Indian plate. One may argue that in our reconstructions noise is reduced only across two portions of the plate circuit: India–Somalia and North America–Eurasia. We note however that those are the most highly resolved portions – in a temporal sense – that arguably contribute the largest noise-tosignal ratio. Instead, finite rotations of Somalia–Nubia and Nubia– North America have been reconstructed at a low temporal resolution of 8–11 Myr, yielding a lower noise-to-signal ratio and a negligible mistake in evaluating Euler vectors, as shown in Section 2. More importantly, we re-evaluate in Fig. 4g–i the torque variation-rates required upon India over the past  20 Myr in order to explain the India–Eurasia reconstructed kinematics. Arguably our reconstructions are overall geodynamically more plausible, because variation-rates seldom exceed the maximum rate available to India. They do only in Reconstruction 1 and 2 at times when motion across the East African Rift is prescribed to change according to finite rotations by Lemaux et al. (2002) and Royer et al. (2006), on which several authors have raised a concern in the past (e.g Patriat et al., 2008; Molnar and Stock, 2009).

4. Controls on India dynamics since  20 Ma Our preference falls on Reconstruction 3 (Fig. 4c) because it is the most plausible, in both geological and geodynamical senses (Fig. 4i). The India–Eurasia angular velocity decreased by  0:21=Myr since 20 Ma (Fig. 4c). Convergence across the Himalayan front decreased by more that 1 cm/yr from  20 to  10 Ma, to then increase by almost 0.5 cm/yr until the present-day (Fig. 4f). While the recent, mild speed-up has been linked to stronger erosion along Eastern Himalayas following intensification of the monsoon over the past  10 Myr (Iaffaldano et al., 2011), the more pronounced slow-down at earlier stages may well be the result of increased Tibet elevation, as suggested by Molnar and Stock (2009). In fact, they estimated that 1 km of uplift would already generate a force as high as  4  1012 N m1 against India–Eurasia convergence. This is comparable to previous inferences on the force provided, for instance, by the Andean plateau to slow down Nazca–South America convergence (Husson and Ricard, 2004; Iaffaldano et al., 2006, 2007) as well as spreading in

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the south Atlantic and East Pacific Rise (Iaffaldano and Bunge, 2009) since  10 Ma. Mountain building, however, is not the sole geologic process that could explain the India–Eurasia slow-down since the Miocene. Based on earlier lower-resolution reconstructions, Iaffaldano and Bunge (2009) argued that the break-up of the Indo-Australian plate into the India and Australia units some time during Early Miocene is also compatible with the observed kinematics, and does not require any variation in the Tibetan elevation. This suggestion bears on the notion that, upon breakup, the same resisting force provided by the high plateau acted on a smaller Indian plate. More generally, the principle of inertia implies that any such event would inevitably trigger a plate-motion change, for the budget of basal drag and plateboundary forces is re-partitioned from the Indo-Australian plate to the smaller Indian and Australian plates. Already during Early ¨ Cenozoic India moved separately from Australia (e.g. Muller et al., 2008; Torsvik et al., 2010; Gurnis et al., 2012). Magnetic surveys of the Wharton Basin and the Nicobar Fan indicate the presence of a fossil spreading ridge (FSR) in the vicinity of the Ninetyeast Ridge. During Early Cenozoic the FSR accommodated the relative motion between the two plates; but it ceased spreading around 43 Ma, determining the merge into the Indo-Australian unit (Liu et al., 1983). However, a variety of evidence support the reinception of a diffuse plate boundary between India and Australia in the recent geologic past. For instance, Stein and Okal (1978) documented significant intra-plate seismicity within the Indian Ocean, where contemporary crustal stresses also concentrate (Cloetingh and Wortel, 1985). Unconformities of the ocean-floor sediments imaged through seismic reflection (Weissel et al., 1980) further support the recent occurrence of intra-plate deformation. In addition, paleo-magnetic reconstructions suggest that the relative India–Australia motion resumed some time between 20 and 8 Ma (Wiens et al., 1985; Gordon et al., 1998). Evidence comes from reconstructed magnetic anomalies along the Central India Ridge (DeMets et al., 2005) indicating that the Capricorn plate, which partly divides India from Australia below the equator, moved independently from India since at least 20 Ma. Is the India–Eurasia slow-down since  20 Ma the result of the recent separation between India and Australia, or of a rapid uplift of Tibet by 1–2 km? In order to test these hypotheses we resort to global numerical models of the coupled mantle/lithosphere system. The details and capabilities of these models have been previously discussed (e.g. Kong and Bird, 1995, 1996; Bird, 1998, 1999; Iaffaldano et al., 2006, 2011), and are summarised in the Supplementary information. Here we shall mention that models solve the instantaneous torque balance of Earth’s plates in the global thin-sheet approximation, and are performed in conjunction with mantle circulation models (Schuberth et al., 2009; Davies and Davies, 2009). This allows us to simultaneously account for torques generated by all forces acting upon Earth’s lithosphere, such as buoyancies and shear tractions from the convecting mantle, the lateral spreading of topographic features of the lithosphere – large mountain belts as well as mid-oceanic ridges – and frictional stresses along brittle faults and plate margins. Model outputs are Euler vectors for rigid plate motions as well as lithosphere equilibrium forces. Importantly, models make use of a finite-element formulation to account for the relief of continents and ocean basins, the thickness of Earth’s crust and lithosphere, as well as regional geotherm and rheology. Such formulation also allows us to explicitly build realistic plate configurations into the numerical grid, through contact elements (Fig. 5a). These key features make our modelling approach suitable to test the abovementioned hypotheses.

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Fig. 5. (a) Finite-element grid used in global models of the coupled mantle/lithosphere system. The realistic configuration of present-day plate boundaries (in bold black) is explicitly built into the grid by means of contact elements (in thin grey). In particular, we cast India and Australia as two separate tectonic units. Coastline is in bold grey. (b) Similar to (a), but in this second grid India and Australia are merged into a single, larger Indo-Australian plate.

4.1. Impact of Indo-Australian plate break-up on India–Eurasia kinematics We test whether an event of tectonic separation between India and Australia some time since  20 Ma may result in the observed reduction of India–Eurasia convergence by performing two distinct simulations of global mantle/lithosphere dynamics. In the first one we simulate the present-day scenario by casting India and Australia as two tectonically distinct units into the finite-element grid (Fig. 5a). The model India–Australia plate margin coincides with the epicentres of intra-plate seismicity (Stein and Okal, 1978), the locations of imaged sediment unconformities (Weissel et al., 1980) and the thinnest Indian lithosphere along the currently passive FSR near the ¨ northern Ninetyeast Ridge (Muller et al., 2008). This choice is in agreement with results from seismic studies following the 2012 Sumatra great earthquake sequence (e.g. Duputel et al., 2012; ¨ Wiseman and Burgman, 2012). Instead, in the second model India and Australia are merged into one single Indo-Australian plate within the finite-element grid (Fig. 5b), obtained by removing the India– Australia margin. This model is intended to simulate the tectonic scenario between  20 and  10 Ma. We are aware of few discrepancies between our model lithosphere and Earth’s lithosphere. Firstly, the shape of plates and the age/structure of oceanic lithosphere in our models of the geologic past might differ slightly from the reality. However, we note from publicly available datasets of global ocean-floor age and plate margins since 140 Ma that these differences are indeed negligible over the past 20 Myr or so (see w ww.earthbyte.org). Secondly, while the margin between India and Australia that we build into the present-day finite-element grid is based on the available record of intra-plate seismicity and oceanfloor unconformities, previous studies (e.g. Gordon et al., 1990; DeMets et al., 2005) suggested this region to undergo of diffuse deformation on the basis of kinematic reconstructions. There is a fundamental, technical challenge in modelling diffuse deformation between plates over time-scales of Myr; that is, we do not possess a prescription to map the diffuseness inferred from kinematic observations into rheological properties of the oceanic lithosphere. Finally, we elect not to cast the small Capricorn plate into our finite-element grid because there is not much constraint as to the stage in the geologic past when it came into existence as an independent, rigid tectonic unit. Based on these arguments, we believe that our choice represents a reasonable compromise between hypothesis-testing and current lithosphere-modelling capability. All other modelling parameters are kept unvaried. These include shear tractions at the lithosphere-base generated by mantle buoyancies, which have been proved not to vary

Fig. 6. Modelled Euler vectors for the rigid motion of India (downward triangle) and Indo-Australia (upward triangle) relative to Eurasia, predicted from global models of the coupled mantle/lithosphere system employing finite-element grids in Fig. 5a and b, respectively. We compare these predictions with the observed India–Eurasia Euler vectors and associated confidence regions over the past  20 Myr from our Reconstruction 3 (dots). Symbols indicate the associated poles of rotation, colours indicate the magnitude of the angular velocity. The observed Euler vector for the most recent reconstructed time-period is circled in black. Dotsize progressively increases towards the present-day. While the modelled India Euler vector (downward triangle) compares reasonably well with the observed Euler vector for the recent motion over the past few Myr, the modelled IndoAustralia vector (upward triangle) features angular velocity and Euler pole more compatible with the reconstructed rigid motion prior to  15 Ma. Plate boundaries are in black, coastline is in grey. Plate labels as in Fig. 1. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

significantly – less than 2% – over 20 Myr (see, for instance, Figure 2c–d in Forte et al., 2009). From these two simulations we predict Euler vectors for the relative motion of India and Indo-Australia with respect to stable Eurasia. They are plotted in Fig. 6, against observations and their confidence range (Reconstruction 3). We find that the simulated break-up of the Indo-Australian plate indeed may explain the reconstructed kinematics. Specifically, the modelled India Euler vector compares reasonably well – in terms of both pole and angular velocity – with the observed Euler vector for the motion over past few Myr. Instead, the Indo-Australia vector features a larger angular velocity and a pole closer to the observed one for the motion prior to  15 Ma.

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4.2. Impact of proposed Tibetan uplift on India–Eurasia kinematics

5. Discussion

Testing the hypothesis that a sudden uplift of the Tibetan plateau by 1–2 km between 20 and 10 Ma resulted in the slowdown of India (Molnar and Stock, 2009) requires that we compare the model prediction for the geologically current plate motion (downward triangle in Fig. 6) with one where the Tibetan model elevation cast into the finite-element grid is reduced, to simulate the orogenic setting some time between 20 and 10 Ma. Accordingly, we perform a set of simulations where we decrease the elevation of Tibet by 500, 1000, 1500 and 2000 m. Because of our ignorance on where the uplift might have occurred, we elect to variously reduce the model topography where the present-day elevation exceeds 3000, 4000 and 5000 m. Doing so effectively allows us to test different lateral extents of the Tibetan region where uplift occurred. In Fig. 7 we report the model scenarios of past Tibetan elevation that we test, which arguably cover a wide range: from a significant uplift of almost the entire plateau (Fig. 7a) to a small increase of elevation occurring within a limited region (Fig. 7l). Modelled Euler vectors for the relative India–Eurasia motion are shown in Fig. 8, together with Reconstruction 3 for comparison. In Fig. 8a we report Euler vectors obtained by decreasing the Tibetan model elevation above the present-day 5000 m height, while Fig. 8b and c correspond to the 4000 and 3000 m heights, respectively. We find that under no circumstances our models yield an India–Eurasia Euler vector comparable in both rotation pole and angular velocity with the reconstructed faster motion prior to  15 Ma.

From Fig. 8 it is evident that the larger is the topographic volume uplifted within the plateau, the faster is the angular velocity of the modelled India–Eurasia past Euler vector. This should not be surprising, as the resisting force Tibet provides against the incoming India becomes larger as one moves forward in time. However, it is also interesting to note how the Euler pole shifts systematically away from the Indian plate. In order to interpret this pattern, it is worth recalling that when mantle shear tractions are the dominant control on the dynamics of a plate, its Euler pole generally lies 70–901 away from the plate centre of mass (e.g. Gordon, 1998). In fact, in such configuration the total shear torque at the plate-base is minimised, as demonstrated by Zatman et al. (2001). Strong plate-boundary forces disrupt this balance simply because they are typically distributed unevenly along the plate margins. This introduces a more significant rotational component into the rigid motion, requiring the Euler pole to locate closer to the centre of mass of the plate. Therefore, the path of modelled Euler poles in Fig. 8 indicates that the past resisting force Tibet provides, as its topographic volume is decreased in our simulations, has progressively less influence on the dynamics of the Indian plate compared to mantle shear tractions. This notion provides more insight into the break-up of the IndoAustralian plate and its ability to explain the observed kinematic record. Prior to the break-up, the resisting force generated by Tibet acted along a relatively short margin of the larger Indo-Australian plate. At the same time, mantle shear tractions acted upon the entire base of the larger plate. In the balance of the associated

Fig. 7. Tectonic scenarios of the Tibetan elevation some time between 20 and 10 Ma, obtained reducing the present-day elevation by 500–2000 m, at steps of 500 m. Because of our ignorance on the region where uplift might have occurred, we decrease the present-day elevation where it currently exceeds 3000, 4000 and 5000 m. These scenarios are implemented into finite-element grids for global mantle/lithosphere dynamic models, to test the impact of a proposed sudden uplift of the Tibetan plateau on the Indian plate motion.

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Fig. 8. Predicted Euler vectors (symbols other than dots) for the rigid motion of India relative to Eurasia, compared to observations (dots) over the past  20 Ma from our Reconstruction 3. Predictions are from global models of the coupled mantle/lithosphere system featuring India and Australia as separate plates within the finite-element grid (see Fig. 5a). We test all tectonic scenario for the Tibetan elevation reported in Fig. 7 by systematically modifying the model-elevation cast into the finite-element grid. Specifically, in (a) are reported predictions from scenarios where only the topography currently above 5000 m is modified (see Fig. 7). In (b) we show predictions from scenarios where we modify the modelelevation above the present-day 4000 m isoline (see Fig. 7). In (c) are predictions from scenarios where we modify the model-elevation above the 3000 m isoline (see Fig. 7). Symbols locate poles of rotation and are coloured according to the angular velocity. The observed Euler vector over the most recent geologic stage is circled in black. Dot-size progressively increases towards the present-day. Plate boundaries are in black, coastline is in grey. Plate labels as in Fig. 1. We find that under no circumstances our models yield an India–Eurasia Euler vector comparable in both pole and angular velocity with the reconstructed vector for the rigid motion prior to  15 Ma. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

torques, the angular distance between the observed Euler pole and the Indo-Australian plate centre of mass, which arguably lay somewhere along the western Australian continent, was  1001. It is indeed irrelevant whether or not at that stage the small Capricorn plate had come already into existence as a separate unit, because its limited size would not impact significantly the position of the Indo-Australian centre of mass. These arguments suggest that mantle shear tractions were a dominant control on the IndoAustralian plate dynamics. Since break-up, instead, the same resisting force provided by Tibet acts against mantle shear tractions at the base of a much smaller plate. Arguably, the total torque associated with these tractions is smaller and has relatively less importance compared to the torque generated by the large plateau, which instead remained unvaried. As a result, the distance between the Indian plate centre of mass, which lies in south continental India, and the observed Euler pole is  601. More importantly, these arguments open to a third, alternative scenario where an uplift of 1–2 km within Tibet occurred before

Fig. 9. Similar to Fig. 8, but models cast India and Australia as one larger IndoAustralian plate into the finite-element grid (see Fig. 5b). We find that modelled Indo-Australian Euler vectors agree well with the observed rigid motion prior to  15 Ma in all instances.

the Indo-Australian break-up was accomplished. Under these circumstances its impact on the kinematic record would have been presumably smaller, owing to the relevance of mantle shear tractions upon the larger Indo-Australian base. To test this hypothesis we resort once more to our models and re-compute the Euler vector for the rigid motion of Indo-Australia relative to Eurasia, but this time we simultaneously vary the elevation of Tibet as shown in Fig. 7. Results from this set of tests are reported in Fig. 9. The kinematic implications of this tectonic scenario are significantly different. In fact, we find that modelled Indo-Australian Euler vectors agree with Reconstruction 3 even better than those modelled in tectonic scenarios where the Indo-Australian break-up is not accompanied by any uplift within Tibet between 20 and 10 Ma (Fig. 8). Indeed the influence of the plateau on the dynamics of the larger Indo-Australian plate is small compared to the influence of mantle shear tractions at the lithosphere base; but we argue that it is still large enough to modulate the Euler vector for the rigid motion towards an improved agreement with observations. Our inferences bear on what is arguably the strongest constraint on lithosphere dynamics – the kinematic record – and therefore contribute to solve a long-standing controversy on the temporal evolution of the Tibetan plateau.

6. Conclusions We reconstructed Euler vectors for the rigid motion of India with respect to stable Eurasia since  20 Ma from finite rotations along

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the India–Somalia–Nubia–North America–Eurasia circuit. Our reconstruction differs from previous studies because it significantly reduces the bias of data-noise associated with high-temporalresolution finite rotations for the relative India–Somalia and North America–Eurasia paleo-position. We also accounted for three different scenarios of rifting in Africa proposed in the past, and demonstrated that the most geodynamically plausible among them is one where rifting remained stable since its initiation around 11 Ma. The rigid motion of India relative to Eurasia slowed down by  35% between 20 and 10 Ma. We tested with global models of the coupled mantle/lithosphere system whether this kinematic change resulted from the recent separation of the large Indo-Australian plate into the India and Australia units, or alternatively from a sudden uplift of Tibet by 1–2 km. Based on our modelling results, we conclude that the relative motion between India and Eurasia reflects chiefly the break-up of the Indo-Australian plate some time before  10 Ma. Nonetheless, a tectonic scenario in which a sudden uplift by 1–2 km of the Tibetan plateau occurred before the plate break-up not only is compatible with the kinematic record, but indeed yields the best fit to it. Short-term – few Myr – plate-motion changes are a most valuable probe into the dynamics of the lithosphere, but we emphasise how noise in finite-rotation datasets, if not reduced efficiently, hampers significantly our ability to unravel the relevant kinematic changes and make geodynamic inferences on the driving and resisting forces acting upon plates.

Acknowledgements We are grateful to Je´rˆome Dyment and two anonymous reviewers for their careful comments and suggestions. G.I. acknowledges support from the Ringwood Fellowship at the Australian National University.

Appendix A. Supplementary materials Supplementary information associated with this article can be found in the online version at http://dx.doi.org/10.1016/j.epsl. 2013.02.014.

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