Articles | Volume 12, issue 5
https://doi.org/10.5194/se-12-1125-2021
https://doi.org/10.5194/se-12-1125-2021
Research article
 | 
19 May 2021
Research article |  | 19 May 2021

Application of anisotropy of magnetic susceptibility (AMS) fabrics to determine the kinematics of active tectonics: examples from the Betic Cordillera, Spain, and the Northern Apennines, Italy

David J. Anastasio, Frank J. Pazzaglia, Josep M. Parés, Kenneth P. Kodama, Claudio Berti, James A. Fisher, Alessandro Montanari, and Lorraine K. Carnes

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on se-2020-184', Dario Bilardello, 22 Jan 2021
    • AC1: 'Reply on RC1', Dave Anastasio, 22 Jan 2021
    • AC2: 'Reply on RC1, Changes keyed to submitted manuscript lines based on review by Dario Biradello', Dave Anastasio, 01 Mar 2021
  • RC2: 'Comment on se-2020-184', Ruth Soto, 17 Feb 2021
    • AC3: 'Reply on RC2', Dave Anastasio, 01 Mar 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Dave Anastasio on behalf of the Authors (11 Mar 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (16 Mar 2021) by Massimiliano Porreca
AR by Dave Anastasio on behalf of the Authors (23 Mar 2021)  Author's response   Manuscript 
ED: Publish subject to technical corrections (07 Apr 2021) by Massimiliano Porreca
ED: Publish subject to technical corrections (07 Apr 2021) by Federico Rossetti (Executive editor)
AR by Dave Anastasio on behalf of the Authors (08 Apr 2021)  Manuscript 
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Short summary
The anisotropy of magnetic susceptibility (AMS) technique provides an effective way to interpret deforming mountain belts. In both the Betics, Spain, and Apennines, Italy, weak but well-organized AMS fabrics were recovered from young unconsolidated and unburied rocks that could not be analyzed with more traditional methods. Collectively, these studies demonstrate the novel ways that AMS can be combined with other data to resolve earthquake hazards in space and time.