Distinguishing between two Antarctic species of Eocene Palaeeudyptes penguins: A statistical approach using tarsometatarsi

Autores
Jadwiszczak, Piotr; Acosta Hospitaleche, Carolina Ileana Alicia
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Defining species boundaries, due to morphological variation, often represents a significant challenge in paleozoology. In this paper we report results from multi- and univariate data analyses, such as enhanced clustering techniques, principal coordinates ordination method, kernel density estimations and finite mixture model analyses, revealing some morphometric patterns within the Eocene Antarctic representatives of Palaeeudyptes penguins. These large-sized birds were represented by two species, P. gunnari and P. klekowskii, known mainly from numerous isolated bones. Investigations focused on tarsometatarsi, crucial bones in paleontology of early penguins, resulted in a probability-based framework allowing for the "fuzzy" partitioning the studied specimens into two taxa with partly overlapping size distributions. Such a number of species was supported by outcomes from both multi- and univariate studies. In our opinion, more reliance should be placed on the quantitative analysis of form when distinguishing between species within the Antarctic Palaeeudyptes.
Facultad de Ciencias Naturales y Museo
Materia
Paleontología
Antarctic
La meseta formation
Paleogene
Sphenisciformes
Statistics
Systematics
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/85498

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network_name_str SEDICI (UNLP)
spelling Distinguishing between two Antarctic species of Eocene Palaeeudyptes penguins: A statistical approach using tarsometatarsiJadwiszczak, PiotrAcosta Hospitaleche, Carolina Ileana AliciaPaleontologíaAntarcticLa meseta formationPaleogeneSphenisciformesStatisticsSystematicsDefining species boundaries, due to morphological variation, often represents a significant challenge in paleozoology. In this paper we report results from multi- and univariate data analyses, such as enhanced clustering techniques, principal coordinates ordination method, kernel density estimations and finite mixture model analyses, revealing some morphometric patterns within the Eocene Antarctic representatives of Palaeeudyptes penguins. These large-sized birds were represented by two species, P. gunnari and P. klekowskii, known mainly from numerous isolated bones. Investigations focused on tarsometatarsi, crucial bones in paleontology of early penguins, resulted in a probability-based framework allowing for the "fuzzy" partitioning the studied specimens into two taxa with partly overlapping size distributions. Such a number of species was supported by outcomes from both multi- and univariate studies. In our opinion, more reliance should be placed on the quantitative analysis of form when distinguishing between species within the Antarctic Palaeeudyptes.Facultad de Ciencias Naturales y Museo2013info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf237-252http://sedici.unlp.edu.ar/handle/10915/85498enginfo:eu-repo/semantics/altIdentifier/issn/0138-0338info:eu-repo/semantics/altIdentifier/doi/10.2478/popore-2013-0020info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:48:46Zoai:sedici.unlp.edu.ar:10915/85498Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:48:46.988SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Distinguishing between two Antarctic species of Eocene Palaeeudyptes penguins: A statistical approach using tarsometatarsi
title Distinguishing between two Antarctic species of Eocene Palaeeudyptes penguins: A statistical approach using tarsometatarsi
spellingShingle Distinguishing between two Antarctic species of Eocene Palaeeudyptes penguins: A statistical approach using tarsometatarsi
Jadwiszczak, Piotr
Paleontología
Antarctic
La meseta formation
Paleogene
Sphenisciformes
Statistics
Systematics
title_short Distinguishing between two Antarctic species of Eocene Palaeeudyptes penguins: A statistical approach using tarsometatarsi
title_full Distinguishing between two Antarctic species of Eocene Palaeeudyptes penguins: A statistical approach using tarsometatarsi
title_fullStr Distinguishing between two Antarctic species of Eocene Palaeeudyptes penguins: A statistical approach using tarsometatarsi
title_full_unstemmed Distinguishing between two Antarctic species of Eocene Palaeeudyptes penguins: A statistical approach using tarsometatarsi
title_sort Distinguishing between two Antarctic species of Eocene Palaeeudyptes penguins: A statistical approach using tarsometatarsi
dc.creator.none.fl_str_mv Jadwiszczak, Piotr
Acosta Hospitaleche, Carolina Ileana Alicia
author Jadwiszczak, Piotr
author_facet Jadwiszczak, Piotr
Acosta Hospitaleche, Carolina Ileana Alicia
author_role author
author2 Acosta Hospitaleche, Carolina Ileana Alicia
author2_role author
dc.subject.none.fl_str_mv Paleontología
Antarctic
La meseta formation
Paleogene
Sphenisciformes
Statistics
Systematics
topic Paleontología
Antarctic
La meseta formation
Paleogene
Sphenisciformes
Statistics
Systematics
dc.description.none.fl_txt_mv Defining species boundaries, due to morphological variation, often represents a significant challenge in paleozoology. In this paper we report results from multi- and univariate data analyses, such as enhanced clustering techniques, principal coordinates ordination method, kernel density estimations and finite mixture model analyses, revealing some morphometric patterns within the Eocene Antarctic representatives of Palaeeudyptes penguins. These large-sized birds were represented by two species, P. gunnari and P. klekowskii, known mainly from numerous isolated bones. Investigations focused on tarsometatarsi, crucial bones in paleontology of early penguins, resulted in a probability-based framework allowing for the "fuzzy" partitioning the studied specimens into two taxa with partly overlapping size distributions. Such a number of species was supported by outcomes from both multi- and univariate studies. In our opinion, more reliance should be placed on the quantitative analysis of form when distinguishing between species within the Antarctic Palaeeudyptes.
Facultad de Ciencias Naturales y Museo
description Defining species boundaries, due to morphological variation, often represents a significant challenge in paleozoology. In this paper we report results from multi- and univariate data analyses, such as enhanced clustering techniques, principal coordinates ordination method, kernel density estimations and finite mixture model analyses, revealing some morphometric patterns within the Eocene Antarctic representatives of Palaeeudyptes penguins. These large-sized birds were represented by two species, P. gunnari and P. klekowskii, known mainly from numerous isolated bones. Investigations focused on tarsometatarsi, crucial bones in paleontology of early penguins, resulted in a probability-based framework allowing for the "fuzzy" partitioning the studied specimens into two taxa with partly overlapping size distributions. Such a number of species was supported by outcomes from both multi- and univariate studies. In our opinion, more reliance should be placed on the quantitative analysis of form when distinguishing between species within the Antarctic Palaeeudyptes.
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/85498
url http://sedici.unlp.edu.ar/handle/10915/85498
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/0138-0338
info:eu-repo/semantics/altIdentifier/doi/10.2478/popore-2013-0020
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
237-252
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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