Introduction: Palaeomagnetism in fold and thrust belts: new perspectives

Pueyo, Emilio L.; Cifelli, Francesca; Sussman, A. J.; Oliva‐Urcia, Belén

doi:10.1144/sp425.13

Cited by 6 publications

(1 citation statement)

References 46 publications

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“…To this end, we should collect accurate, statistically significant, and independent directional data sets. Traditionally, paleomagnetic data have been used the most to study vertical-axis rotations (e.g., Weil et al, 2013;Pueyo et al, 2007Pueyo et al, , 2016. Vertical-axis rotation patterns have also been studied using structural or sedimentological data, such as deformation fabrics and paleocurrent directions (e.g., Walcott and White, 1998;Kollmeier et al, 2000;Yonkee and Weil, 2010b;Pastor-Galán et al, 2011;Shaw et al, 2012;Li et al, 2012;van Hinsbergen and Schmid, 2012;Malandri et al, 2016).…”

Section: Previous Orocline Testsmentioning

confidence: 99%

Bootstrapped total least squares orocline test: A robust method to quantify vertical-axis rotation patterns in orogens, with examples from the Cantabrian and Aegean oroclines

et al. 2017

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Most mountain belts on Earth show some degree of curvature in plan view, from a slight bend to horseshoe shapes. Such curvatures may occur on different scales, from individual thrust sheets to entire plate boundaries. Curvature may be acquired by vertical-axis rotation during or after orogenesis, or reflect primary lateral variations in shortening directions or physiographical features. Quantifying the amount of vertical-axis rotations of plan-view curvature is therefore helpful to our understanding of orogenesis, geodynamics, and paleogeography. The orocline test assesses to what extent vertical-axis rotations have played a role in the acquisition of an orogen's curvature. The test quantifies through linear regression the relationships between changes in structural trends and the orientations of a geologic fabric. However, the current mathematical approaches to the orocline test show potential biases. In this paper we aim to overcome such biases by developing a novel orocline test that applies total least squares (TLS) regression combined with a novel approach to bootstrapping. This bootstrap TLS orocline test can be used with all types of directional data acquired from structural geology, paleomagnetism, or sedimentology. It quantifies, for the first time, secondary curvature with confidence bands. We also provide several graphical and analytical tests to evaluate the statistical significance of the result. An open source online application implementing this method is available for use on www.paleomagnetism.org. We illustrate the use of the methodology by reanalyzing published data sets from two well-known oroclines in the Cantrabrian (northwest Iberia) and Aegean (Greece) regions.

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