Atkins Suzanne, Coltice Nicolas
Laboratoire de Géologie CNRS-École Normale Supérieure-PSL University Paris France.
J Geophys Res Solid Earth. 2021 Oct;126(10):e2021JB022057. doi: 10.1029/2021JB022057. Epub 2021 Oct 19.
Lithospheric net rotation (LNR) is the movement of the lithosphere as a solid body with respect to the mantle. Separating the signal of LNR from plate tectonic motion is therefore an important factor in producing absolute plate motion models. Net rotation is difficult to constrain because of uncertainties in geological data and outstanding questions about the stability of the mantle plumes used as a reference frame. We use mantle convection simulations to investigate the controlling factors for the magnitude of LNR and to find the statistical predictability of LNR in a fully self-consistent convective system. We find that high lateral viscosity variations are required to produce Earth-like values of LNR. When the temperature dependence of viscosity is lower, and therefore slabs are softer, other factors such as the presence of continents and a viscosity gradient at the transition zone are also important for determining the magnitude of net rotation. We find that, as an emergent property of the chaotic mantle convection system, the evolution of LNR is too complicated to predict in our models. However, we find that the range of LNR within the simulations follows a Gaussian distribution, with a correlation time of 5 Myr. The LNR from the models needs to be sampled for around 50 Myr to produce a fully Gaussian distribution. This implies, that within the time frames considered for absolute plate motion reconstructions, LNR can be treated as a Gaussian variable. This provides a new geodynamic constraint for absolute plate motion reconstructions.
岩石圈净旋转(LNR)是岩石圈作为一个固体相对于地幔的运动。因此,将LNR信号与板块构造运动分离是生成绝对板块运动模型的一个重要因素。由于地质数据的不确定性以及用作参考框架的地幔柱稳定性方面存在的突出问题,净旋转很难得到约束。我们用地幔对流模拟来研究控制LNR大小的因素,并在一个完全自洽的对流系统中寻找LNR的统计可预测性。我们发现,需要高横向粘度变化才能产生类似地球的LNR值。当粘度的温度依赖性较低,因而板块更软时,其他因素,如大陆的存在以及过渡带的粘度梯度,对于确定净旋转的大小也很重要。我们发现,作为混沌地幔对流系统的一种涌现性质,LNR的演化在我们的模型中过于复杂而无法预测。然而,我们发现模拟中的LNR范围遵循高斯分布,相关时间为500万年。需要对模型中的LNR进行约5000万年的采样才能产生完全的高斯分布。这意味着,在考虑绝对板块运动重建的时间框架内,LNR可被视为一个高斯变量。这为绝对板块运动重建提供了一个新的地球动力学约束。