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Reassessing long-term exhumation rates in magmatic terranes

Reassessing long-term exhumation rates in magmatic terranes

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Authors

Frances Cooper , Byron Adams, Simon Dahlström, Todd Ehlers, Matthijs van Soest, Kip Hodges, Brian Jicha, Brad Singer , Jaime Cortes Yañez, Rebecca Perkins

Abstract

Crustal exhumation is central to mountain building, weathering, and sediment production processes, which significantly influence the composition and behavior of Earth’s oceans and atmosphere. It also controls the formation, enrichment, and preservation of porphyry copper deposits, which are a vital source of metals for the clean energy technologies underpinning the global green energy transition. Exhumation rates are typically determined from rock cooling histories combined with a geothermal model. However, in magmatically active regions, models can overpredict exhumation rates because the elevated heat signature is mistakenly attributed to advection driven by rapid exhumation. We present a method to accurately constrain exhumation histories in magmatic terranes that combines thermokinematic modeling of thermochronometric cooling histories with independent geobarometric constraints on the total exhumed crustal thickness. Focusing on the Central Andes, which has a prolonged history of magmatic and magmatic-hydrothermal activity, we find that accounting for this additional source of heat results in exhumed crustal thicknesses within error of the independent constraints, whereas ignoring it results in exhumed thicknesses up to four times greater than geologically plausible.

DOI

https://doi.org/10.31223/X51J3C

Subjects

Earth Sciences, Geochemistry, Geology, Tectonics and Structure

Keywords

Exhumation, Thermochronology, Geobarometry, Central Andes, Porphyry copper deposits, Magmatic heat

Dates

Published: 2026-05-09 19:29

Last Updated: 2026-05-09 19:29

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data Availability:
All data are available in the main text or the supplementary materials. Pecube_D is available at https://zenodo.org/records/7785668 and Matlab codes are available at https://github.com/baadams/pecube.

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