Magma Differentiation in Dynamic Mush Domains From the Perspective of Multivariate Statistics: Open‐ Versus Closed‐System Evolution
Abstract Open‐conduit conditions characterize several of the most hazardous and active volcanic systems of basaltic composition worldwide, persistently refilled by magmatic inputs. Eruptive products with similar bulk compositions, chemically buffered by continual mafic inputs, nevertheless exhibit h...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-03-01
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| Series: | Geochemistry, Geophysics, Geosystems |
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| Online Access: | https://doi.org/10.1029/2023GC011396 |
| _version_ | 1797205630150246400 |
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| author | A. Pontesilli F. Di Fiore P. Scarlato B. Ellis E. Del Bello D. Andronico J. Taddeucci M. Brenna M. Nazzari O. Bachmann S. Mollo |
| author_facet | A. Pontesilli F. Di Fiore P. Scarlato B. Ellis E. Del Bello D. Andronico J. Taddeucci M. Brenna M. Nazzari O. Bachmann S. Mollo |
| author_sort | A. Pontesilli |
| collection | DOAJ |
| description | Abstract Open‐conduit conditions characterize several of the most hazardous and active volcanic systems of basaltic composition worldwide, persistently refilled by magmatic inputs. Eruptive products with similar bulk compositions, chemically buffered by continual mafic inputs, nevertheless exhibit heterogeneous glass compositions in response to variable magma mixing, crystallization, and differentiation processes within different parts of the plumbing system. Here, we document how multivariate statistics and magma differentiation modeling based on a large data set of glass compositions can be combined to constrain magma differentiation and plumbing system dynamics. Major and trace elements of matrix glasses erupted at Stromboli volcano (Italy) over the last 20 years provide a benchmark against which to test our integrated petrological approach. Principal component analysis, K‐means cluster analysis, and kernel density estimation reveal that trace elements define a multivariate space whose eigenvectors are more readily interpretable in terms of petrological processes than major elements, leading to improved clustering solutions. Comparison between open‐ and closed‐system differentiation models outlines that steady state magma compositions at constantly replenished and erupting magmatic systems approximate simple fractional crystallization trends, due to short magma residence times. Open‐system magma evolution is associated with magma storage crystallinities that are lower than those associated with closed‐system scenarios. Accordingly, open‐system dynamics determine the efficient crystal‐melt separation toward the top of the reservoir, where eruptible melts continuously supply the ordinary activity. Conversely, a mush‐like environment constitutes the bottom of the reservoir, where poorly evolved magmas result from mixing events between mush residual melts and primitive magmas injected from deeper crustal levels. |
| first_indexed | 2024-04-24T08:54:10Z |
| format | Article |
| id | doaj.art-3d394b8a7b3a4f60b7a98949ff80319d |
| institution | Directory Open Access Journal |
| issn | 1525-2027 |
| language | English |
| last_indexed | 2024-04-24T08:54:10Z |
| publishDate | 2024-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geochemistry, Geophysics, Geosystems |
| spelling | doaj.art-3d394b8a7b3a4f60b7a98949ff80319d2024-04-16T08:35:30ZengWileyGeochemistry, Geophysics, Geosystems1525-20272024-03-01253n/an/a10.1029/2023GC011396Magma Differentiation in Dynamic Mush Domains From the Perspective of Multivariate Statistics: Open‐ Versus Closed‐System EvolutionA. Pontesilli0F. Di Fiore1P. Scarlato2B. Ellis3E. Del Bello4D. Andronico5J. Taddeucci6M. Brenna7M. Nazzari8O. Bachmann9S. Mollo10Istituto Nazionale di Geofisica e Vulcanologia Roma ItalyIstituto Nazionale di Geofisica e Vulcanologia Roma ItalyIstituto Nazionale di Geofisica e Vulcanologia Roma ItalyInstitute of Geochemistry and Petrology ETH Zurich Zurich SwitzerlandIstituto Nazionale di Geofisica e Vulcanologia Roma ItalyIstituto Nazionale di Geofisica e Vulcanologia‐Osservatorio Etneo Catania ItalyIstituto Nazionale di Geofisica e Vulcanologia Roma ItalyDepartment of Geology University of Otago Dunedin New ZealandIstituto Nazionale di Geofisica e Vulcanologia Roma ItalyInstitute of Geochemistry and Petrology ETH Zurich Zurich SwitzerlandIstituto Nazionale di Geofisica e Vulcanologia Roma ItalyAbstract Open‐conduit conditions characterize several of the most hazardous and active volcanic systems of basaltic composition worldwide, persistently refilled by magmatic inputs. Eruptive products with similar bulk compositions, chemically buffered by continual mafic inputs, nevertheless exhibit heterogeneous glass compositions in response to variable magma mixing, crystallization, and differentiation processes within different parts of the plumbing system. Here, we document how multivariate statistics and magma differentiation modeling based on a large data set of glass compositions can be combined to constrain magma differentiation and plumbing system dynamics. Major and trace elements of matrix glasses erupted at Stromboli volcano (Italy) over the last 20 years provide a benchmark against which to test our integrated petrological approach. Principal component analysis, K‐means cluster analysis, and kernel density estimation reveal that trace elements define a multivariate space whose eigenvectors are more readily interpretable in terms of petrological processes than major elements, leading to improved clustering solutions. Comparison between open‐ and closed‐system differentiation models outlines that steady state magma compositions at constantly replenished and erupting magmatic systems approximate simple fractional crystallization trends, due to short magma residence times. Open‐system magma evolution is associated with magma storage crystallinities that are lower than those associated with closed‐system scenarios. Accordingly, open‐system dynamics determine the efficient crystal‐melt separation toward the top of the reservoir, where eruptible melts continuously supply the ordinary activity. Conversely, a mush‐like environment constitutes the bottom of the reservoir, where poorly evolved magmas result from mixing events between mush residual melts and primitive magmas injected from deeper crustal levels.https://doi.org/10.1029/2023GC011396stromboli volcanomultivariate statisticsgeochemical modelingmagmatic differentiation |
| spellingShingle | A. Pontesilli F. Di Fiore P. Scarlato B. Ellis E. Del Bello D. Andronico J. Taddeucci M. Brenna M. Nazzari O. Bachmann S. Mollo Magma Differentiation in Dynamic Mush Domains From the Perspective of Multivariate Statistics: Open‐ Versus Closed‐System Evolution Geochemistry, Geophysics, Geosystems stromboli volcano multivariate statistics geochemical modeling magmatic differentiation |
| title | Magma Differentiation in Dynamic Mush Domains From the Perspective of Multivariate Statistics: Open‐ Versus Closed‐System Evolution |
| title_full | Magma Differentiation in Dynamic Mush Domains From the Perspective of Multivariate Statistics: Open‐ Versus Closed‐System Evolution |
| title_fullStr | Magma Differentiation in Dynamic Mush Domains From the Perspective of Multivariate Statistics: Open‐ Versus Closed‐System Evolution |
| title_full_unstemmed | Magma Differentiation in Dynamic Mush Domains From the Perspective of Multivariate Statistics: Open‐ Versus Closed‐System Evolution |
| title_short | Magma Differentiation in Dynamic Mush Domains From the Perspective of Multivariate Statistics: Open‐ Versus Closed‐System Evolution |
| title_sort | magma differentiation in dynamic mush domains from the perspective of multivariate statistics open versus closed system evolution |
| topic | stromboli volcano multivariate statistics geochemical modeling magmatic differentiation |
| url | https://doi.org/10.1029/2023GC011396 |
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