論文

査読有り
2017年6月

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

LITHOSPHERE
  • Daniel Pastor-Galan
  • ,
  • Kieran F. Mulchrone
  • ,
  • Mathijs R. Koymans
  • ,
  • Douwe J. J. van Hinsbergen
  • ,
  • Cor G. Langereis

9
3
開始ページ
499
終了ページ
511
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1130/L547.1
出版者・発行元
GEOLOGICAL SOC AMER, INC

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.

Web of Science ® 被引用回数 : 13

リンク情報
DOI
https://doi.org/10.1130/L547.1
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000404460400012&DestApp=WOS_CPL
URL
http://orcid.org/0000-0002-0226-2739

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