Understanding the evolution of scoria cone morphology using multivariate models

Autores
Kereszturi, Gabor; Grosse, Pablo; Whitehead, Melody; Guilbaud, Marie Noëlle; Downs, Drew T.; Noguchi, Rina; Kervyn, Matthieu
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Kereszturi, Gabor. Massey University; Nueva Zelanda
Fil: Grosse, Pablo. Fundación Miguel Lillo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina
Fil: Whitehead, Melody. Massey University; Nueva Zelanda
Fil: Guilbaud, Marie Noëlle. Universidad Nacional Autónoma de México; México
Fil: Downs, Drew T.. United States Geological Survey; Estados Unidos
Fil: Noguchi, Rina. Niigata University; Japón
Fil: Kervyn, Matthieu. Vrije Unviversiteit Brussel; Bélgica
Materia
Scoria
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/274810
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Understanding the evolution of scoria cone morphology using multivariate modelsKereszturi, GaborGrosse, PabloWhitehead, MelodyGuilbaud, Marie NoëlleDowns, Drew T.Noguchi, RinaKervyn, MatthieuScoriahttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Scoria 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.Fil: Kereszturi, Gabor. Massey University; Nueva ZelandaFil: Grosse, Pablo. Fundación Miguel Lillo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; ArgentinaFil: Whitehead, Melody. Massey University; Nueva ZelandaFil: Guilbaud, Marie Noëlle. Universidad Nacional Autónoma de México; MéxicoFil: Downs, Drew T.. United States Geological Survey; Estados UnidosFil: Noguchi, Rina. Niigata University; JapónFil: Kervyn, Matthieu. Vrije Unviversiteit Brussel; BélgicaNature2025-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/274810Kereszturi, Gabor; Grosse, Pablo; Whitehead, Melody; Guilbaud, Marie Noëlle; Downs, Drew T.; et al.; Understanding the evolution of scoria cone morphology using multivariate models; Nature; Communications Earth & Environment; 6; 1; 6-2025; 1-112662-4435CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s43247-025-02425-8info:eu-repo/semantics/altIdentifier/doi/10.1038/s43247-025-02425-8info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-12-23T13:34:21Zoai:ri.conicet.gov.ar:11336/274810instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-12-23 13:34:21.563CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Understanding the evolution of scoria cone morphology using multivariate models
title Understanding the evolution of scoria cone morphology using multivariate models
spellingShingle Understanding the evolution of scoria cone morphology using multivariate models
Kereszturi, Gabor
Scoria
title_short 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_sort Understanding the evolution of scoria cone morphology using multivariate models
dc.creator.none.fl_str_mv Kereszturi, Gabor
Grosse, Pablo
Whitehead, Melody
Guilbaud, Marie Noëlle
Downs, Drew T.
Noguchi, Rina
Kervyn, Matthieu
author Kereszturi, Gabor
author_facet Kereszturi, Gabor
Grosse, Pablo
Whitehead, Melody
Guilbaud, Marie Noëlle
Downs, Drew T.
Noguchi, Rina
Kervyn, Matthieu
author_role author
author2 Grosse, Pablo
Whitehead, Melody
Guilbaud, Marie Noëlle
Downs, Drew T.
Noguchi, Rina
Kervyn, Matthieu
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Scoria
topic Scoria
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Kereszturi, Gabor. Massey University; Nueva Zelanda
Fil: Grosse, Pablo. Fundación Miguel Lillo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina
Fil: Whitehead, Melody. Massey University; Nueva Zelanda
Fil: Guilbaud, Marie Noëlle. Universidad Nacional Autónoma de México; México
Fil: Downs, Drew T.. United States Geological Survey; Estados Unidos
Fil: Noguchi, Rina. Niigata University; Japón
Fil: Kervyn, Matthieu. Vrije Unviversiteit Brussel; Bélgica
description 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.
publishDate 2025
dc.date.none.fl_str_mv 2025-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/274810
Kereszturi, Gabor; Grosse, Pablo; Whitehead, Melody; Guilbaud, Marie Noëlle; Downs, Drew T.; et al.; Understanding the evolution of scoria cone morphology using multivariate models; Nature; Communications Earth & Environment; 6; 1; 6-2025; 1-11
2662-4435
CONICET Digital
CONICET
url http://hdl.handle.net/11336/274810
identifier_str_mv Kereszturi, Gabor; Grosse, Pablo; Whitehead, Melody; Guilbaud, Marie Noëlle; Downs, Drew T.; et al.; Understanding the evolution of scoria cone morphology using multivariate models; Nature; Communications Earth & Environment; 6; 1; 6-2025; 1-11
2662-4435
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s43247-025-02425-8
info:eu-repo/semantics/altIdentifier/doi/10.1038/s43247-025-02425-8
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature
publisher.none.fl_str_mv Nature
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.952241

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