Abstract
Oceanic transform faults play an essential role in plate tectonics. Yet to date, there is no unifying explanation for the global trend in broad-scale transform fault topography, ranging from deep valleys to shallow topographic highs. Using three-dimensional numerical models, we find that spreading-rate dependent magmatism within the transform domain exerts a first-order control on the observed spectrum of transform fault depths. Low-rate magmatism results in deep transform valleys caused by transform-parallel tectonic stretching; intermediate-rate magmatism fully accommodates far-field stretching, but strike-slip motion induces across-transform tension, producing transform strength dependent shallow valleys; high-rate magmatism produces elevated transform zones due to local compression. Our models also address the observation that fracture zones are consistently shallower than their adjacent transform fault zones. These results suggest that plate motion change is not a necessary condition for reproducing oceanic transform topography and that oceanic transform faults are not simple conservative strike-slip plate boundaries.
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Introduction
Oceanic transform faults display a wide range of topographic morphologies1,2. Overall, the broad-scale topographies of transform faults deepen systematically with decreasing spreading rate3,4 (Fig. 1d and Supplementary Fig. 1g). At the fastest seafloor spreading rates, the transform zone is relatively shallow, sometimes even shallower than the adjacent seafloor (Mode 1, Fig. 1a and Supplementary Fig. 1a, b). At fast to intermediate spreading rates, shallow valleys with less than 1 km of relief delineate the fault zone (Mode 2, Fig. 1b and Supplementary Fig. 1c, d). Finally, at slow to ultra-slow spreading ridges, deep ( > 1 km of relief) transform valleys form and the corresponding fracture zones are deeper than the adjacent seafloor (Mode 3, Fig. 1c and Supplementary Fig. 1e, f). Note that while we broadly categorize transform topography into three discrete modes, these variations with spreading rate occur on a continuum. Moreover, other processes may be at play for generating complex smaller-scale, time-dependent morphologies2. Another global observation is that fracture zones are consistently shallower than their adjacent transforms by an average of ~650 m3. Although a systematic relationship between spreading rate and the morphology of mid-ocean ridges is well documented and understood to be related to differences in magma supply5,6, the cause of the spectrum in oceanic transform topography, and its contrast with the adjacent fracture zones, is still not clear ~60 years after oceanic transform faults and fracture zones were first discovered7,8.
A few mechanisms are frequently invoked to explain transform fault topography. The first suggests that plate motion changes generate transform-perpendicular compression or extension leading to the formation of transform ridges or valleys, respectively9,10. However, plate motion changes are not persistent in time (see ref. 2 and references therein) and some transform ridges and valleys arise without significant plate motion changes11, suggesting other fundamental causes. An alternative model invokes the nonlinear viscoelastic response due to the shearing of two adjacent plates to explain the observed transverse ridges that bound the transform valleys12. This model relates transform valley depth to fault shear stress. However, the two mechanisms above do not explain the observed spreading rate dependence of transform valley depth, nor the depth difference between fracture zones and transform valleys. More recently, Grevemeyer et al.3 proposed that the deepening of transform valleys is due to an age-offset dependent tectonic thinning, which is caused by the increasing obliquity of the transform plate boundary at greater depths. However, this model does not simulate transform topography and uses surface kinematic boundary condition13,14, which are more appropriate for investigating viscous asthenospheric flow, but not so ideal for addressing strain partitioning in the shallow brittle lithosphere. Relocated seismicity at the fast spreading Gofar transform fault15,16 and slow spreading Chain transform fault17 do not show evidence of increasing obliquity of the plate boundary at greater depth, suggesting that the predicted obliquity occurs beneath the brittle–ductile transition.
One important property of mid-ocean ridges that is known to vary with spreading rate is magma supply18. Seismic, gravity, and bathymetric observations at the slow-spreading Mid-Atlantic ridge show evidence for thinner crust along transform faults, indicating lower magma supply19,20,21,22. These observations suggest reduced extension via magmatic intrusions (dikes) and enhanced extension via tectonic faulting near the adjoining ends of the ridge segments, as compared to the segment centers5,23,24,25. In contrast, gravity data at fast-spreading mid-ocean ridges have been used to infer thicker crust along transform faults20, indicating enhanced magmatism. Because spreading rate-dependent magma supply18 is well known to affect ridge axis topography through its control on lithospheric thickness and fault style5,25,26,27,28,29,30, variations in magma supply may also influence transform fault topography. Consistent with this idea, Grevemeyer et al.3 showed bathymetric evidence for magmatism extending across the transform fault domain, and linked this to the observed shallowing of fracture zones relative to their adjacent transform valleys3.
We construct three-dimensional (3-D) numerical models using the finite difference code LaMEM31 to investigate the origin of oceanic transform topography and its relationship to magma supply (see “Methods” for details). The models simulate a ridge-transform-ridge spreading system with a 6- km thick lithospheric plate and elasto-visco-plastic rheology (Fig. 2). Seafloor spreading is imposed kinematically by pulling on two opposing sides of the model domain, each at a rate Vx. Two fixed ridge segments are offset by 32 km, between which a transform fault forms spontaneously as a result of plastic deformation that follows the Drucker–Prager yield criterion. Along the ridge segments, material divergence is imposed to simulate dike intrusion, which accounts for a fraction, M, of the full spreading rate 2·Vx5,23,32. For the portion of the ridge segment outside of the transform domain, M = 1 so that seafloor spreading is fully accommodated by dike intrusions and there is no extensional faulting. This simplification allows us to focus on topography arising from deformation along the transform fault, which is not complicated by abyssal-hill-forming ridge-parallel normal faults25,26,27,29,32. The effects of variable plate separation rate, seafloor depth, transform fault length, and lithospheric thickness are described in the Discussion and Supplementary text.
Inspired by evidence for spreading rate dependent magma supply within oceanic transform faults (e.g., refs. 3,19,20) and high-resolution geological observations from deep-towed photographs of constructional volcanic ridges that traverse across the entire width of the fracture zone at the ridge-transform intersections of the Kane transform33, we implement dike intrusions along the extensions of the ridge segments within the transform domain. Here, the fraction of seafloor spreading accommodated by diking is denoted as MT, in distinction to M, which pertains only to the ridge axes outside of the transform domain (Fig. 2b). The fractional rate of extension due to diking at each end of the transform fault is MT/2, such that MT represents the combined opening rate of the two transform dike zones. So, when MT = 1, the transform zone dike accretion rate for each segment corresponds to half of the plate separation rate. The transform domain width is set to be either 1 km (for fast-spreading cases) or 2 km (for intermediate to slow-spreading cases), which is roughly consistent with a recent bathymetric analyses34 that yielded a global median transform width of 2.5 km, but a slightly smaller median width of 1.8 km for systems with a full spreading rate > 8 cm/yr.
Using this model setup, we investigate two primary controls on transform morphology, namely, variations in (1) MT, and (2) fault shear strength, controlled by varying cohesion C (Eq. (2) in “Methods”). We measure model topography on evenly spaced along- and across-fault profiles, from which we calculate the average along- and across-transform model topography (Supplementary Fig. 2d–f for average along- and Supplementary Fig. 2g–i for average across-transform topography for the three example cases shown in Fig. 3). Transform valley and fracture zone depths (Figs. 3d and 4a) are measured from the mean of the along-transform profiles (similar to the analysis of natural systems3), once the transform topography has reached steady state or evolve slowly, typically in ≤ 10 million years of model time.
Results and discussion
Predicted modes of transform topography
The models show that transform bathymetry deepens systematically with decreasing rates of magmatic accretion (MT) in the transform domain (Fig. 3d). From relatively high to low MT, the models can be categorized into three main modes of transform topography, namely, topographic highs along the transform that are shallower than the adjacent plates (Mode 1), shallow transform valleys (Mode 2), and deep transform valleys (Mode 3). These three modes reproduce the global trend of transform-valley depth vs. spreading rate, and are consistent with the observed range of transform-valley depths (Fig. 3d, e). The models also generate fracture zones that are systematically shallower than transform valleys, as observed globally (Fig. 4).
Mode 1 topography forms when each transform dike intrusion zone accommodates slightly more than half of the seafloor spreading rate (MT > 1.02). This mode shows hundred-meter-high fault-parallel topographic ridges, sometimes separated by small depressions centered along the transform zone or near the ridge-transform intersections (Fig. 3a and Supplementary Fig. 2a, d, g). Higher values of MT lead to slightly taller positive topographies (Fig. 3d Mode 1). Mode 1 is consistent with the shallow topographic highs observed at some transform faults at fast-spreading ridges (Fig. 1a and Supplementary Fig. 1a, b).
Mode 2 topography occurs when the combined magmatic extension rate in the transform zone approximately matches the seafloor spreading rate (MT = 0.98–1.02, Fig. 3d). In these cases, there is little transform-parallel tectonic tension caused by far-field plate separation, as the extension is fully accommodated by magma intrusion. Nonetheless, this mode predicts intermediate depth (100–1000 m) transform valleys (Fig. 3b and Supplementary Fig. 2b, e, h) that deepen with stronger transforms (Fig. 3d Mode 2 and Supplementary Fig. 3). Mode 2 is consistent with intermediate depth transform valleys observed at fast to intermediate spreading ridges where the corresponding fracture zones typically show little relief (Fig. 1b and Supplementary Fig. 1c, d).
Finally, Mode 3 topography occurs when the combined magmatic extension in the transform domain does not fully accommodate the full plate separation (MT < 0.98). This leads to increasing tectonic stretching with decreasing MT (Fig. 3c & d Mode 3 and Supplementary Fig. 2c, f, i). Mode 3 therefore produces deep valleys (1–4 km), that deepen with decreasing MT (Fig. 3d). Compared to Mode 2, transform valley depth in Mode 3 models is less sensitive to the transform strength (Supplementary Fig. 3). Further, in contrast to the slightly elevated fracture zone topography in Mode 1 and 2 models, the fracture zones in Mode 3 models are expressed as valleys, but remain ~1 km shallower than the transform valleys (Fig. 4a). Mode 3 is consistent with the deep transform and fracture zone valleys found at slow-spreading rates (Fig. 1c and Supplementary Fig. 1e, f).
Mechanisms that build transform topography
The model results above indicate a first-order control of intra-transform magmatism on transform fault and fracture zone topography (Figs. 3 and 4). When there is excess magmatism relative to the rate of far-field stretching, the stresses within the transform domain are generally compressive (Mode 1). This causes subtle and time-dependent curvature of the transform fault, which generates local compression resulting in topographic highs (Fig. 5a, b). When magma supply almost perfectly accommodates the far-field tectonic stretching, shear along the fault leads to tension across the transform and the formation of a shallow transform valley (Mode 2). In this case, stronger faults promote deeper valleys (Figs. 3d, Fig. 5c–f and Supplementary Fig. 3) and little subsidence occurs along the adjacent fracture zones (Supplementary Fig. 2e). This across-transform shear-induced tension (Fig. 5c–f) arises as first hypothesized by analogy with a rubber band that is pinned on each side of a transform and is stretched due to the strike-slip motion of the fault12. The depth of the transform valley scales with this tensile stress, which increases with the shear strength of the transform fault (Supplementary Fig. 3 (MT ~ 1) and Fig. 5c, e). Finally, when magma supply within the transform domain is insufficient to accommodate seafloor spreading, tectonic stretching creates deep transform valleys and subsided fracture zones (Fig. 5g, h). In this mode, the transform fault is a hybrid extensional and strike-slip plate boundary.
For most cases except Mode 1 models with the highest MT, the transform valleys are consistently deeper than their adjacent fracture zones (Fig. 4a). The main reason for this is that shear-driven tension only affects the active transform, not the fracture zones. Another contributing factor for the depth difference is that the shear resistance of transform fault causes incomplete lateral opening of the transform dike, which in turn promotes the intruded material to migrate upward (Supplementary Fig. 4). The result is to produce shallower topography in the fracture zone as the new material is accreted and advected away from the active transform fault. Note that while we do not model lava eruptions, this mechanism supports the conceptual idea that magma accretion in the transform domain is important in leading to shallower fracture zones3.
Oceanic transform faults are observed to form over a range of spreading rates, average seafloor depths, fault lengths, and lithospheric thicknesses. To validate the first-order role of magma intrusion within the transform domain (MT) on transform morphology, and to assess the broad applicability of our models, we further investigated the sensitivity of our model predictions to the aforementioned parameters. Of particular importance is that differences in water overburden have negligible effect on model topography (Supplementary Fig. 5 and Table 2). This allows us to infer robust relationships when comparing our model results to observations, even though we assume a constant average seafloor depth of 3 km near mid-ocean ridges (double axes in Figs. 3d and Fig. 4a)35,36,37. Variations in model results due to different half spreading rates within the global range (1, 2, or 5 cm/yr), as well as a factor of ~2 difference in lithospheric thickness (4, 6 or 8 km) or transform fault length (32 or 62 km) are negligible for Mode 1 & 2, but are larger (a few hundred meters) for Mode 3 (Supplementary Fig. 6). These predicted differences may partially explain the larger scatter seen in the observations at slower spreading rates (Figs. 3e and 4b). Meanwhile, we hypothesize that the greater variability in magma supply at slower spreading rates18 may also be partially responsible for the larger scatter in the natural data. Overall, we find that over this range of parameter space, predicted transform and fracture zone depths cluster closely along the overall trend of the reference model results (Figs. 3 and 4). We therefore conclude that our model results point to MT as being a globally prominent control on the broad-scale averaged topography of oceanic transform faults.
In addition to these first-order variations in transform topography associated with magmatism, variations in local (e.g., mantle temperature, composition38) and/or far-field (e.g., kinematic plate motion9,10,39) factors have been proposed to influence transform fault tectonics and generate prominent features such as the median or transverse ridges seen at many oceanic transform faults and fracture zones (ref. 2 for a comprehensive review). For example, median ridges are observed at all spreading rates, including the fast-spreading Clipperton transform (Fig. 1a), the intermediate spreading Chile Ridge transform at 39°S (Supplementary Fig 1c) and Vlamingh transform (Supplementary Fig 1d), as well as the slow-spreading Marathon (Fig. 1c) and Chain transforms (Supplementary Fig 1f)11. However, the averaged broad-scale transform topography is not significantly affected by the appearance of median ridges and systematically shallows with faster-spreading rates (Fig. 1d and Supplementary Fig. 1g). The formation of transverse ridges is thought to be associated with plate motion changes inducing across-transform extension, a process that is not included in our models. However, most transform systems with transverse ridges (e.g., Vema, Chain, and Kane transforms) are still well-classified as Mode 3 systems, with mean across-transform topography characterized by a deep (relief >1 km) valley. Finally, a recent systematic survey of transform fault topography argued that age-offset is a more important control on transform depth than spreading rate34. However, because there is a correlation between spreading rate and age offset4, future work will be needed to distinguish between these two effects.
Overall, our models provide a mechanical basis for a first-order connection between magma supply and the broad-scale topography of global oceanic transform faults and their adjacent fracture zones. This model makes several testable predictions that motivate future investigations. First, local seismicity, detailed seafloor geodesy, high-resolution crustal magnetization and geologic sampling may provide evidence for active magmatic dike intrusions within the transform domain. The predicted stress fields from our models (Fig. 5c, e) are consistent with anomalous focal mechanisms observed at some oceanic transform fault (e.g., thrust mechanism at transform side inside corners; oblique normal faulting adjacent to the transform valleys40,41). Second, the dike near the ridge-transform intersection opens asymmetrically, with more material intruded toward the fracture zone side than the transform side (Supplementary Fig. 4). In nature, this could generate thicker crust on the fracture zone side, which is consistent with recent observations showing systematic higher residual mantle Bouguer anomalies indicating thinner crust at transform faults and inside corner regions as compared to the corresponding fracture zones and outside corner regions42. Third, our models indicate that stronger faults promote deeper valleys (Fig. 5 c–f, and Supplementary Fig. 3). Because lower earthquake b-values are associated with higher differential stress on a fault43, this implies that deeper transform valleys should correlate with lower b-values. Recent data from Chain transform fault shows this exact correlation44, which could be further tested in other systems. Finally, future seafloor geodetic studies might be able to resolve the spreading rate dependence of magmatic accommodated plate extension (MT) within the transform domain, as well as shear-induce extension across the transform.
Methods
We use the open-source numerical code LaMEM (Lithosphere and Mantle Evolution Model)31; https://github.com/UniMainzGeo/LaMEM) for the three-dimensional geodynamic simulations. LaMEM employs a finite difference discretization scheme on a fully staggered grid, combined with a marker-in-cell approach to solve the mass and momentum conservation equations using the multigrid numerical method.
The oceanic lithosphere is simulated in a Cartesian model domain of 64 km in X-axis (along-transform) direction, 32 km in Y-axis (across-transform) direction and 8 km in the vertical Z-axis direction (Fig. 2). After systematically testing the effects of grid size on model results, we assume regular cubic mesh with a grid size of 0.5 km. This grid size resolves broad-scale topography of a model that simulates the transform domain as a single shear band along a transform fault. In the vertical Z direction, the base models are composed of 6 km of oceanic lithosphere underlying 2 km of “sticky-air”. The “sticky-air” layer is assumed to has a viscosity of \({10}^{17}{Pa}\cdot s\) and density of 1 kg/m3. The boundary between the “sticky-air” and lithosphere forms an internal free surface45,46 for tracking the development of topography. Left and right boundaries are pulled with a half spreading rate of Vx = 2 cm/yr. Top boundary is open to in-and-out flow. Other boundaries are shear traction-free and allow no normal in-and-out flow.
As described in ref. 31, the rheology of the lithosphere is assumed to be elasto-visco-plastic and the total deviatoric strain rate is calculated as:
where \({\dot{\varepsilon }}_{{ij}}=\frac{1}{2}(\frac{\partial {v}_{i}}{\partial {x}_{j}}+\frac{\partial {v}_{j}}{\partial {x}_{i}})-\frac{1}{3}\frac{\partial {v}_{k}}{\partial {x}_{k}}{\delta }_{{ij}}\) is the deviatoric strain rate tensor, in which \({x}_{i}\) (i = x, y, z) denotes Cartesian coordinate in i direction, \({v}_{i}\) is velocity in i direction, \({\delta }_{{ij}}\) is the Kronecker delta, \({\tau }_{{ij}}={\sigma }_{{ij}}+P{\delta }_{{ij}}\) is the Cauchy stress deviator tensor (\({\sigma }_{{ij}}\) is the Cauchy stress tensor, P is lithostatic pressure). The \({\dot{\varepsilon }}_{{ij}}^{{el}}\), \({\dot{\varepsilon }}_{{ij}}^{{vs}}\) and \({\dot{\varepsilon }}_{{ij}}^{{pl}}\) are the elastic, viscous and plastic components, respectively. \({\tau }_{{ij}}^{J}=\frac{\partial {\tau }_{{ij}}}{\partial t}+{\tau }_{{ik}}{\omega }_{{kj}}-{\omega }_{{ik}}{\tau }_{{kj}}\) is the Jaumann objective stress rate, and \({\omega }_{{ij}}=\frac{1}{2}(\frac{\partial {v}_{i}}{\partial {x}_{j}}-\frac{\partial {v}_{j}}{\partial {x}_{i}})\) is the spin tensor, G = 40 GPa is the elastic shear modulus, and the subscript “II ” denotes the square root of the second invariant of the corresponding tensor.
The magnitude of the plastic strain rate \(({\dot{\varepsilon }}_{{II}}^{\,{pl}})\) is determined by enforcing the Drucker–Prager yield criterion:
where \({{{{{{\rm{\tau }}}}}}}_{{{{{{\rm{Y}}}}}}}\) is the brittle yield strength of the oceanic lithosphere, in terms of the second invariant of the deviatoric stress tensor, φ is the friction angle of 30°, P is depth-dependent lithostatic pressure and C is cohesion.
A marker and cell method is used to track material properties and material advection is implemented in a Eulerian kinematical framework. During advection, the elastic stress from the previous time step (\({\tau }_{{ij}}^{n}\)) is corrected on the markers to account for the rigid-body rotation, and then interpolated on the edge and cell control volumes using a distance-based averaging to obtain the effective strain rates:
where \({\tau }_{{ij}}^{*}={\tau }_{{ij}}^{n}+\Delta t({\omega }_{{ik}}{\tau }_{{kj}}^{n}-{\tau }_{{ik}}^{n}{\omega }_{{kj}})\) and \(\Delta t\) is the model time step.
The effective viscosity (\({\eta }^{*}\)) and the updated deviatoric stresses (\({\tau }_{{ij}}\)) are computed from the effective strain rates using the standard quasi-viscous expression:
where \({\eta }_{p}={10}^{24}{Pa}\cdot s\) is the assumed viscosity for the lithospheric plate not at yield. The model setup of an ideal layer with constant thickness and viscosity as a way to isolate second-order effects of asthenosphere drag has been previously used for investigating factors that control normal faulting47. This helps reducing the complex competing effects that may complicate the model systematics.
Two mid-ocean ridge segments are offset by 32 km, between which a transform fault forms spontaneously as a result of plastic deformation following the Drucker-Prager yield criterion. The dike intrusion along each mid-ocean ridge segment is implemented as a zone of magmatic intrusion that accounts for a fraction, M, of the full plate separation rate 2·Vx5,23,32. For the ridge segments outside of the transform domain, we assume M = 1 such that the far-field tectonic extension is fully accommodated by dike intrusions and the topographic structure is not complicated by abyssal-hill-forming normal faults, which have been extensively investigated previously26,27,29.
Dike intrusion is implemented within the transform domain based on observations that indicate variable magmatism along oceanic transform faults and fracture zones3,19,20,42. The fraction of magmatic intrusion in the transform domain is denoted as MT to distinguish it from the M value ascribed to the ridge axis outside of the transform domain. At each of the transform magmatic zones, the rate of magmatic extension is 1/2MT \(\cdot\) 2Vx, and so MT \(\cdot\) 2Vx represents the integrated opening rate within the transform domain, which may have a different relationship with spreading rate than M does for ridge segments outside of the transform domain18. The transform domain width is set to be 1 km for Mode 1 cases or 2 km for Mode 2 & Mode 3 cases to reflect the global trend of increasing transform width with slower spreading rate4,34. This is roughly consistent with a recent analysis34 that yielded a global median transform fault width of 2.5 km, but a slightly smaller median width of 1.8 km for systems with a full spreading rate > 8 cm/yr. This approach allows us to simulate the observed increase in transform magma supply with the spreading rate20.
Using this model setup, we investigate two primary controls on transform morphology: (1) MT, and (2) transform fault shear strength. We measure model topography on evenly spaced along- and across-transform sampling profiles, from which we calculate the average along- and across- transform model topography (Supplementary Fig. 2d - f for mean along- and Supplementary Fig. 2g–i for mean across- transform topography for the three example cases shown in Fig. 3). Transform valley and fracture zone model depths (shown in Figs. 3d and 4a) are measured from the mean along-transform profiles3, once the across-transform topography has reached steady state or is evolving slowly, typically within 10 million years of model time.
Data availability
All data are available in the main text or as Supplementary Figs. and Tables. All source data are provided at https://doi.org/10.5281/zenodo.10552862. Source data for Supplementary Table 1 and 2 are also provided as an excel file “TableS1_S2.xls”.
Code availability
The open-source code LaMEM31 used for the numerical models in this work is available at https://github.com/UniMainzGeo/LaMEM. All newly coded features for transform domain dike intrusion, input files for the base models and Python plotting scripts can be found at https://doi.org/10.5281/zenodo.10552862.
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Acknowledgements
Bathymetry maps in Fig. 1 are plotted with GMT48. The spreading velocity of the two fast spreading cases shown in Supplementary Fig. 1a, b is based on the Plate Motion Calculator service provided by the GAGE Facility, operated by EarthScope Consortium, with support from the National Science Foundation, the National Aeronautics and Space Administration, and the U.S. Geological Survey under NSF Cooperative Agreement EAR-1724794. This work benefited from discussions with Eunseo Choi, Jean-Arthur Olive, W. Roger Buck, Lars Rüpke, Ching-Yao Lai, Alexandre Janin and Jizhen Lin. We are grateful for constructive comments from reviewers Fabio Crameri and Milena Marjanović. This work was supported by National Science Foundation grants NSF-OCE 19–28776 to M.B. and X.T.; NSF-OCE 19–28804 to G.I. and J.C.S.; and European Research Council Consolidator grant ERC CoG MAGMA #771143 to B.K. and A.P.
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Conceptualization: M.B., G.I., X.T., and J.C.S.; Methodology: B.K., A.P., J.C.S., and X.T.; Funding acquisition: M.B. and G.I.; Writing – original draft: X.T., M.B., G.I.; Writing – review & editing: X.T., M.B., G.I., J.C.S., B.K., and A.P.
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Nature Communications thanks Fabio Crameri, Milena Marjanović and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.
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Tian, X., Behn, M.D., Ito, G. et al. Magmatism controls global oceanic transform fault topography. Nat Commun 15, 1914 (2024). https://doi.org/10.1038/s41467-024-46197-9
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DOI: https://doi.org/10.1038/s41467-024-46197-9
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