Understanding the evolution of scoria cone morphology using multivariate models
Abstract Scoria cones are the most abundant type of volcano in the Solar System. They occur in every tectonic setting and often overlap with human populations, yet our ability to provide complete geochronology within volcanic fields remains limited. Appropriate geochronology underpins the reconstruc...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-06-01
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| Series: | Communications Earth & Environment |
| Online Access: | https://doi.org/10.1038/s43247-025-02425-8 |
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| author | Gabor Kereszturi Pablo Grosse Melody Whitehead Marie-Noëlle Guilbaud Drew T. Downs Rina Noguchi Matthieu Kervyn |
| author_facet | Gabor Kereszturi Pablo Grosse Melody Whitehead Marie-Noëlle Guilbaud Drew T. Downs Rina Noguchi Matthieu Kervyn |
| author_sort | Gabor Kereszturi |
| collection | DOAJ |
| description | Abstract Scoria cones are the most abundant type of volcano in the Solar System. They occur in every tectonic setting and often overlap with human populations, yet our ability to provide complete geochronology within volcanic fields remains limited. Appropriate geochronology underpins the reconstruction of size-frequency distribution and is a key input for robust volcanic hazard assessment. Morphometric data have long been used to estimate relative ages of scoria cones; however, they have only shown promise at single volcanic fields and simple cones with homogenous pyroclastics. Here, we present a new global inventory of dated scoria cones (n = 572) from 71 volcanic fields formed under diverse magmatic, tectonic and climatic regimes, and build data-driven age models for dating scoria cones using easily accessible morphometric, reflectance and climatic variables. Our models suggest chemical composition of ascending magma may influence the initial scoria cone morphology which is then gradually modified by erosion over time. |
| format | Article |
| id | doaj-art-80fafa8277314b3dbb3be6b71101aab4 |
| institution | OA Journals |
| issn | 2662-4435 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Earth & Environment |
| spelling | doaj-art-80fafa8277314b3dbb3be6b71101aab42025-08-20T02:30:59ZengNature PortfolioCommunications Earth & Environment2662-44352025-06-016111110.1038/s43247-025-02425-8Understanding the evolution of scoria cone morphology using multivariate modelsGabor Kereszturi0Pablo Grosse1Melody Whitehead2Marie-Noëlle Guilbaud3Drew T. Downs4Rina Noguchi5Matthieu Kervyn6Volcanic Risk Solutions, School of Agriculture and Environment, Massey UniversityConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Volcanic Risk Solutions, School of Agriculture and Environment, Massey UniversityDepartamento de Vulcanología, Instituto de Geofísica, Universidad Nacional Autónoma de MéxicoU.S. Geological Survey, Hawaiian Volcano ObservatoryFaculty of Science, Niigata University, Nishi-kuDepartment of Geography, Vrije Universiteit BrusselAbstract Scoria cones are the most abundant type of volcano in the Solar System. They occur in every tectonic setting and often overlap with human populations, yet our ability to provide complete geochronology within volcanic fields remains limited. Appropriate geochronology underpins the reconstruction of size-frequency distribution and is a key input for robust volcanic hazard assessment. Morphometric data have long been used to estimate relative ages of scoria cones; however, they have only shown promise at single volcanic fields and simple cones with homogenous pyroclastics. Here, we present a new global inventory of dated scoria cones (n = 572) from 71 volcanic fields formed under diverse magmatic, tectonic and climatic regimes, and build data-driven age models for dating scoria cones using easily accessible morphometric, reflectance and climatic variables. Our models suggest chemical composition of ascending magma may influence the initial scoria cone morphology which is then gradually modified by erosion over time.https://doi.org/10.1038/s43247-025-02425-8 |
| spellingShingle | Gabor Kereszturi Pablo Grosse Melody Whitehead Marie-Noëlle Guilbaud Drew T. Downs Rina Noguchi Matthieu Kervyn Understanding the evolution of scoria cone morphology using multivariate models Communications Earth & Environment |
| title | Understanding the evolution of scoria cone morphology using multivariate models |
| title_full | Understanding the evolution of scoria cone morphology using multivariate models |
| title_fullStr | Understanding the evolution of scoria cone morphology using multivariate models |
| title_full_unstemmed | Understanding the evolution of scoria cone morphology using multivariate models |
| title_short | Understanding the evolution of scoria cone morphology using multivariate models |
| title_sort | understanding the evolution of scoria cone morphology using multivariate models |
| url | https://doi.org/10.1038/s43247-025-02425-8 |
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