Parsimony analysis of endemicity describes but does not explain: an illustrated critique

Autores
Garzón Orduña, Ivonne Janeth; MirandaEsquivel, Daniel Rafael; Donato, Mariano Humberto
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aim  To demonstrate that parsimony analysis of endemicity (PAE) is not analogous to a cladistic biogeographical analysis. Location  We used six data sets from previously published studies from around the world. Methods  In order to test the efficiency of PAE in recovering historical relationships among areas, we performed an empirical comparison of nodes recovered with PAE, primary Brooks parsimony analysis (BPA), and an event‐based method using three models (maximum codivergence, reconciled trees, and the default model of the treefitter program) for six data sets. We measured the performance of PAE in recovering historical area relationships by counting the number and examining the content of nodes recovered by PAE and by historical methods. The dispersal/vicariance ratio was calculated to assess the prevalence of dispersal or vicariance in each reconstruction and its relationship to the performance of PAE. Results  Our results show that PAE recovers an average of 17.25% of historical nodes. PAE and BPA tend to provide similar results; however, in relation to the event‐based models, PAE performance was poor under all the tested scenarios. Although in some cases PAE reconstructions are more resolved than historical reconstructions, this does not necessarily mean that PAE produces more informative answers. These additional nodes correspond to unsupported statements that are based solely on the distributional data of taxa and not on their phylogenetic history. In other words, these nodes were not found by the historical methods, which take phylogenetics into account. The number of historical nodes recovered using PAE was in general negatively correlated with the dispersal/vicariance ratio. Main conclusions  Our results show that PAE is unable to recover historical patterns and therefore does not fit into the current paradigm of historical biogeography. These findings raise doubts regarding conclusions derived from biogeographical studies that interpret PAE trees as area cladograms. We acknowledge that PAE aims to describe but does not explain the current distribution of organisms. It is therefore a useful tool in other biogeographical or ecological analyses for exploring the distribution of taxa or for establishing hypotheses of primary homology between areas.
Fil: Garzón Orduña, Ivonne Janeth. University of New Orleans; Alemania. Universidad Industrial Santander; Colombia
Fil: MirandaEsquivel, Daniel Rafael. Universidad Industrial Santander; Colombia
Fil: Donato, Mariano Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Laboratorio de Sistemática y Biología Evolutiva; Argentina
Materia
Cladistic Biogeography
Dispersal
Event-Based Methods
Historical Biogeography
Pae
Primary Homology
Vicariance
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/42454

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network_name_str CONICET Digital (CONICET)
spelling Parsimony analysis of endemicity describes but does not explain: an illustrated critiqueGarzón Orduña, Ivonne JanethMirandaEsquivel, Daniel RafaelDonato, Mariano HumbertoCladistic BiogeographyDispersalEvent-Based MethodsHistorical BiogeographyPaePrimary HomologyVicariancehttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Aim  To demonstrate that parsimony analysis of endemicity (PAE) is not analogous to a cladistic biogeographical analysis. Location  We used six data sets from previously published studies from around the world. Methods  In order to test the efficiency of PAE in recovering historical relationships among areas, we performed an empirical comparison of nodes recovered with PAE, primary Brooks parsimony analysis (BPA), and an event‐based method using three models (maximum codivergence, reconciled trees, and the default model of the treefitter program) for six data sets. We measured the performance of PAE in recovering historical area relationships by counting the number and examining the content of nodes recovered by PAE and by historical methods. The dispersal/vicariance ratio was calculated to assess the prevalence of dispersal or vicariance in each reconstruction and its relationship to the performance of PAE. Results  Our results show that PAE recovers an average of 17.25% of historical nodes. PAE and BPA tend to provide similar results; however, in relation to the event‐based models, PAE performance was poor under all the tested scenarios. Although in some cases PAE reconstructions are more resolved than historical reconstructions, this does not necessarily mean that PAE produces more informative answers. These additional nodes correspond to unsupported statements that are based solely on the distributional data of taxa and not on their phylogenetic history. In other words, these nodes were not found by the historical methods, which take phylogenetics into account. The number of historical nodes recovered using PAE was in general negatively correlated with the dispersal/vicariance ratio. Main conclusions  Our results show that PAE is unable to recover historical patterns and therefore does not fit into the current paradigm of historical biogeography. These findings raise doubts regarding conclusions derived from biogeographical studies that interpret PAE trees as area cladograms. We acknowledge that PAE aims to describe but does not explain the current distribution of organisms. It is therefore a useful tool in other biogeographical or ecological analyses for exploring the distribution of taxa or for establishing hypotheses of primary homology between areas.Fil: Garzón Orduña, Ivonne Janeth. University of New Orleans; Alemania. Universidad Industrial Santander; ColombiaFil: MirandaEsquivel, Daniel Rafael. Universidad Industrial Santander; ColombiaFil: Donato, Mariano Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Laboratorio de Sistemática y Biología Evolutiva; ArgentinaWiley Blackwell Publishing, Inc2008-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/42454Garzón Orduña, Ivonne Janeth; MirandaEsquivel, Daniel Rafael; Donato, Mariano Humberto; Parsimony analysis of endemicity describes but does not explain: an illustrated critique; Wiley Blackwell Publishing, Inc; Journal of Biogeography; 35; 5; 5-2008; 903-9130305-0270CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/j.1365-2699.2007.01842.xinfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2699.2007.01842.xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:47:58Zoai:ri.conicet.gov.ar:11336/42454instacron: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:34982025-09-03 09:47:59.039CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Parsimony analysis of endemicity describes but does not explain: an illustrated critique
title Parsimony analysis of endemicity describes but does not explain: an illustrated critique
spellingShingle Parsimony analysis of endemicity describes but does not explain: an illustrated critique
Garzón Orduña, Ivonne Janeth
Cladistic Biogeography
Dispersal
Event-Based Methods
Historical Biogeography
Pae
Primary Homology
Vicariance
title_short Parsimony analysis of endemicity describes but does not explain: an illustrated critique
title_full Parsimony analysis of endemicity describes but does not explain: an illustrated critique
title_fullStr Parsimony analysis of endemicity describes but does not explain: an illustrated critique
title_full_unstemmed Parsimony analysis of endemicity describes but does not explain: an illustrated critique
title_sort Parsimony analysis of endemicity describes but does not explain: an illustrated critique
dc.creator.none.fl_str_mv Garzón Orduña, Ivonne Janeth
MirandaEsquivel, Daniel Rafael
Donato, Mariano Humberto
author Garzón Orduña, Ivonne Janeth
author_facet Garzón Orduña, Ivonne Janeth
MirandaEsquivel, Daniel Rafael
Donato, Mariano Humberto
author_role author
author2 MirandaEsquivel, Daniel Rafael
Donato, Mariano Humberto
author2_role author
author
dc.subject.none.fl_str_mv Cladistic Biogeography
Dispersal
Event-Based Methods
Historical Biogeography
Pae
Primary Homology
Vicariance
topic Cladistic Biogeography
Dispersal
Event-Based Methods
Historical Biogeography
Pae
Primary Homology
Vicariance
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Aim  To demonstrate that parsimony analysis of endemicity (PAE) is not analogous to a cladistic biogeographical analysis. Location  We used six data sets from previously published studies from around the world. Methods  In order to test the efficiency of PAE in recovering historical relationships among areas, we performed an empirical comparison of nodes recovered with PAE, primary Brooks parsimony analysis (BPA), and an event‐based method using three models (maximum codivergence, reconciled trees, and the default model of the treefitter program) for six data sets. We measured the performance of PAE in recovering historical area relationships by counting the number and examining the content of nodes recovered by PAE and by historical methods. The dispersal/vicariance ratio was calculated to assess the prevalence of dispersal or vicariance in each reconstruction and its relationship to the performance of PAE. Results  Our results show that PAE recovers an average of 17.25% of historical nodes. PAE and BPA tend to provide similar results; however, in relation to the event‐based models, PAE performance was poor under all the tested scenarios. Although in some cases PAE reconstructions are more resolved than historical reconstructions, this does not necessarily mean that PAE produces more informative answers. These additional nodes correspond to unsupported statements that are based solely on the distributional data of taxa and not on their phylogenetic history. In other words, these nodes were not found by the historical methods, which take phylogenetics into account. The number of historical nodes recovered using PAE was in general negatively correlated with the dispersal/vicariance ratio. Main conclusions  Our results show that PAE is unable to recover historical patterns and therefore does not fit into the current paradigm of historical biogeography. These findings raise doubts regarding conclusions derived from biogeographical studies that interpret PAE trees as area cladograms. We acknowledge that PAE aims to describe but does not explain the current distribution of organisms. It is therefore a useful tool in other biogeographical or ecological analyses for exploring the distribution of taxa or for establishing hypotheses of primary homology between areas.
Fil: Garzón Orduña, Ivonne Janeth. University of New Orleans; Alemania. Universidad Industrial Santander; Colombia
Fil: MirandaEsquivel, Daniel Rafael. Universidad Industrial Santander; Colombia
Fil: Donato, Mariano Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Laboratorio de Sistemática y Biología Evolutiva; Argentina
description Aim  To demonstrate that parsimony analysis of endemicity (PAE) is not analogous to a cladistic biogeographical analysis. Location  We used six data sets from previously published studies from around the world. Methods  In order to test the efficiency of PAE in recovering historical relationships among areas, we performed an empirical comparison of nodes recovered with PAE, primary Brooks parsimony analysis (BPA), and an event‐based method using three models (maximum codivergence, reconciled trees, and the default model of the treefitter program) for six data sets. We measured the performance of PAE in recovering historical area relationships by counting the number and examining the content of nodes recovered by PAE and by historical methods. The dispersal/vicariance ratio was calculated to assess the prevalence of dispersal or vicariance in each reconstruction and its relationship to the performance of PAE. Results  Our results show that PAE recovers an average of 17.25% of historical nodes. PAE and BPA tend to provide similar results; however, in relation to the event‐based models, PAE performance was poor under all the tested scenarios. Although in some cases PAE reconstructions are more resolved than historical reconstructions, this does not necessarily mean that PAE produces more informative answers. These additional nodes correspond to unsupported statements that are based solely on the distributional data of taxa and not on their phylogenetic history. In other words, these nodes were not found by the historical methods, which take phylogenetics into account. The number of historical nodes recovered using PAE was in general negatively correlated with the dispersal/vicariance ratio. Main conclusions  Our results show that PAE is unable to recover historical patterns and therefore does not fit into the current paradigm of historical biogeography. These findings raise doubts regarding conclusions derived from biogeographical studies that interpret PAE trees as area cladograms. We acknowledge that PAE aims to describe but does not explain the current distribution of organisms. It is therefore a useful tool in other biogeographical or ecological analyses for exploring the distribution of taxa or for establishing hypotheses of primary homology between areas.
publishDate 2008
dc.date.none.fl_str_mv 2008-05
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/11336/42454
Garzón Orduña, Ivonne Janeth; MirandaEsquivel, Daniel Rafael; Donato, Mariano Humberto; Parsimony analysis of endemicity describes but does not explain: an illustrated critique; Wiley Blackwell Publishing, Inc; Journal of Biogeography; 35; 5; 5-2008; 903-913
0305-0270
CONICET Digital
CONICET
url http://hdl.handle.net/11336/42454
identifier_str_mv Garzón Orduña, Ivonne Janeth; MirandaEsquivel, Daniel Rafael; Donato, Mariano Humberto; Parsimony analysis of endemicity describes but does not explain: an illustrated critique; Wiley Blackwell Publishing, Inc; Journal of Biogeography; 35; 5; 5-2008; 903-913
0305-0270
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1365-2699.2007.01842.x
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2699.2007.01842.x
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
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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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