Enhanced crystal-melt segregation within dynamic mush systems links silicic cumulates with caldera-forming eruptions

Supported by the mush model, the origin of crystal-poor, high-silica rhyolitic magmas (≥ 75 SiO₂ wt.%) is commonly linked to melt extraction in shallow, crystalline mushes, yet their complementary cumulates remain elusive in the upper crust. Here we present the "dynamic mush model" for the Campo Alegre-Corupá system (Brazil), combining textural analysis and thermodynamic modeling to show that high-silica melts formed through upper-crustal fractionation, leaving a granitic residue and feeding a caldera-forming eruption. Syenites and melasyenites represent their silicic-mafic cumulates, the syenites being formed at relatively low crystallinities (~16-33 of bulk vol.%) after extraction of large amounts of interstitial melts (~47-80 of liquid vol.%). In contrast to static models (extraction window ~50-70 vol.%), our results indicate early melt segregation in a dynamic reservoir. Alkali-feldspar crystals were size-selectively and hydraulically sorted by upward melt flow; aggregates were then formed at low crystallinities, supposedly via synneusis, enabling rapid sinking, and were repacked by recharge. This process, enhanced by relatively high magma fluxes, efficiently separated crystals from melt, explaining the origin of large-volume eruptible magmas in the upper crust. Our findings redefine mush evolution while underscoring the role of flow-driven crystal sorting (elutriation) in caldera-forming systems.

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Publication Details

Journal
Nature Communications
Published
2026-06-27
DOI
https://doi.org/10.1038/s41467-026-74812-4
Primary Topic
Geological and Geochemical Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhanced crystal-melt segregation within dynamic mush systems links silicic cumulates with caldera-forming eruptions

Olivier Bachmann, Mathias Hueck, Valdecir de Assis Janasi, Sílvio Roberto Farias Vlach et al.
Nature Communications
Geological and Geochemical Analysis
article

Enhanced crystal-melt segregation within dynamic mush systems links silicic cumulates with caldera-forming eruptions

Olivier Bachmann, Mathias Hueck, Valdecir de Assis Janasi, Sílvio Roberto Farias Vlach, Dougal A. Jerram, Lucas Martins Lino, Miguel A.S. Basei, Antomat Avelino Macêdo Filho, Francy R. Quiroz-Valle
article en

Abstract

Supported by the mush model, the origin of crystal-poor, high-silica rhyolitic magmas (≥ 75 SiO₂ wt.%) is commonly linked to melt extraction in shallow, crystalline mushes, yet their complementary cumulates remain elusive in the upper crust. Here we present the "dynamic mush model" for the Campo Alegre-Corupá system (Brazil), combining textural analysis and thermodynamic modeling to show that high-silica melts formed through upper-crustal fractionation, leaving a granitic residue and feeding a caldera-forming eruption. Syenites and melasyenites represent their silicic-mafic cumulates, the syenites being formed at relatively low crystallinities (~16-33 of bulk vol.%) after extraction of large amounts of interstitial melts (~47-80 of liquid vol.%). In contrast to static models (extraction window ~50-70 vol.%), our results indicate early melt segregation in a dynamic reservoir. Alkali-feldspar crystals were size-selectively and hydraulically sorted by upward melt flow; aggregates were then formed at low crystallinities, supposedly via synneusis, enabling rapid sinking, and were repacked by recharge. This process, enhanced by relatively high magma fluxes, efficiently separated crystals from melt, explaining the origin of large-volume eruptible magmas in the upper crust. Our findings redefine mush evolution while underscoring the role of flow-driven crystal sorting (elutriation) in caldera-forming systems.

Nature Communications
Planetary Science Institute (US), University of Oslo (NO), ETH Zurich (CH), Instituto de Geociencias (ES), Ruhr University Bochum (DE)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Norges Forskningsråd
Openalex Percentile: Top 6%
Geological and Geochemical Analysis
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