An integrated kinematic and geochemical model to determine lithospheric extension and mantle temperature from syn-rift volcanic compositions

We present an integrated kinematic and geochemical model that determines the composition of melts and their residual source rocks generated by decompression melting of the mantle during continental rifting. Our approach is to construct a unified numerical solution that merges an established lithosph...

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Bibliographic Details
Published in:Earth and Planetary Science Letters
Main Authors: Dean, S.M., Murton, B.J., Minshull, T.A., Henstock, T.J., White, R.S.
Format: Article in Journal/Newspaper
Language:English
Published: 2009
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/164930/
https://nora.nerc.ac.uk/id/eprint/164930/1/dean_etal_2009.pdf
https://doi.org/10.1016/j.epsl.2008.11.012
Description
Summary:We present an integrated kinematic and geochemical model that determines the composition of melts and their residual source rocks generated by decompression melting of the mantle during continental rifting. Our approach is to construct a unified numerical solution that merges an established lithospheric stretching model which determines the rate and depth at which melting occurs, with several compositional parameterisations of mantle melting to predict the composition of primary melts. We also incorporate a parameterisation for the rare earth elements. Using our approach, we are able to track the composition of the melt fractions and mantle residues as melting progresses. Our unified model shows that primary melt composition is sensitive to rift duration and mantle temperature, with rapid rifting and higher mantle temperatures producing larger melt fractions, at a greater mean pressure of melting, than slower/cooler rifting. Comparison of the model results with primitive basalts recovered from oceanic spreading ridges and rifted margins in the North Atlantic indicates that rift duration and synrift mantle temperature can be inferred independently from the appropriate geochemical data.