JOURNAL ARTICLE
Multi-Stage Evolution of the Oceanic Lithosphere beneath Heard Island, Southern Indian Ocean.
Published In: Journal of Petrology, 2024, v. 65, n. 10. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Abersteiner, Adam; Beier, Christoph; Genske, Felix; Berndt, Jasper; Kamenetsky, Maya; Goemann, Karsten; Nekrylov, Nikolai; Kamenetsky, Vadim S 3 of 3
Abstract
This article focuses on characterizing the oceanic lithospheric mantle beneath Heard Island, part of the Kerguelen Plateau large igneous province (LIP) in the southern Indian Ocean, through petrographic and geochemical analysis of spinel-bearing harzburgite xenoliths hosted in basanite lavas. The study reveals a complex mantle history involving extensive partial melting (~26–30% melt extraction at 1–3 GPa), sub-solidus re-equilibration reactions producing clinopyroxene and chromian-spinel symplectites, and heterogeneous carbonatite metasomatism that enriched certain clinopyroxene grains in light rare earth elements and other trace elements. Following entrainment as xenoliths in ascending basanite magma, the mantle fragments underwent further modification via melt–rock interaction, notably the partial dissolution of orthopyroxene and formation of new mineral assemblages (wehrlitisation). These findings highlight the importance of distinguishing in situ mantle processes from alterations occurring during xenolith transport to better understand the composition and evolution of the lithospheric mantle beneath the Kerguelen Plateau.
Additional Information
- Source:Journal of Petrology. 2024/10, Vol. 65, Issue 10, p1
- Document Type:Article
- Subject Area:Life Sciences
- Publication Date:2024
- ISSN:0022-3530
- DOI:10.1093/petrology/egae106
- Accession Number:180625986
- Copyright Statement:Copyright of Journal of Petrology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.