A quantitative review of pollination syndromes: do floral traits predict effective pollinators?

Autores
Rosas Guerrero, Víctor; Aguilar, Ramiro; Martén Rodriguez, Silvana; Ashworth, Lorena; Lopezaraiza Mikel, Martha; Bastida, Jesús; Quesada, Mauricio
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The idea of pollination syndromes has been largely discussed but no formal quantitative evaluation has yet been conducted across angiosperms. We present the first systematic review of pollination syndromes that quantitatively tests whether the most effective pollinators for a species can be inferred from suites of floral traits for 417 plant species. Our results support the syndrome concept, indicating that convergent floral evolution is driven by adaptation to the most effective pollinator group. The predictability of pollination syndromes is greater in pollinator-dependent species and in plants from tropical regions. Many plant species also have secondary pollinators that generally correspond to the ancestral pollinators documented in evolutionary studies. We discuss the utility and limitations of pollination syndromes and the role of secondary pollinators to understand floral ecology and evolution.
Fil: Rosas Guerrero, Víctor. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; México. Universidad Autónoma de Guerrero. Unidad Academica en Desarrollo Sustentable; México
Fil: Aguilar, Ramiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Martén Rodriguez, Silvana. Centro Regional del Bajío. Instituto de Ecología; México
Fil: Ashworth, Lorena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Lopezaraiza Mikel, Martha. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; México. Universidad Autónoma de Guerrero. Unidad Academica en Desarrollo Sustentable; México
Fil: Bastida, Jesús. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; México
Fil: Quesada, Mauricio. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; México
Materia
Evolucion Floral
Sindrome Floral
Meta Analisis
Sistema Reproductivo de Plantas
Eficiencia en La Polinizacion
Redes de Polinizacion
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:11336/14512
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A quantitative review of pollination syndromes: do floral traits predict effective pollinators?Rosas Guerrero, VíctorAguilar, RamiroMartén Rodriguez, SilvanaAshworth, LorenaLopezaraiza Mikel, MarthaBastida, JesúsQuesada, MauricioEvolucion FloralSindrome FloralMeta AnalisisSistema Reproductivo de PlantasEficiencia en La PolinizacionRedes de Polinizacionhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The idea of pollination syndromes has been largely discussed but no formal quantitative evaluation has yet been conducted across angiosperms. We present the first systematic review of pollination syndromes that quantitatively tests whether the most effective pollinators for a species can be inferred from suites of floral traits for 417 plant species. Our results support the syndrome concept, indicating that convergent floral evolution is driven by adaptation to the most effective pollinator group. The predictability of pollination syndromes is greater in pollinator-dependent species and in plants from tropical regions. Many plant species also have secondary pollinators that generally correspond to the ancestral pollinators documented in evolutionary studies. We discuss the utility and limitations of pollination syndromes and the role of secondary pollinators to understand floral ecology and evolution.Fil: Rosas Guerrero, Víctor. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; México. Universidad Autónoma de Guerrero. Unidad Academica en Desarrollo Sustentable; MéxicoFil: Aguilar, Ramiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); ArgentinaFil: Martén Rodriguez, Silvana. Centro Regional del Bajío. Instituto de Ecología; MéxicoFil: Ashworth, Lorena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); ArgentinaFil: Lopezaraiza Mikel, Martha. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; México. Universidad Autónoma de Guerrero. Unidad Academica en Desarrollo Sustentable; MéxicoFil: Bastida, Jesús. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; MéxicoFil: Quesada, Mauricio. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; MéxicoWiley Blackwell Publishing, Inc2014-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/14512Rosas Guerrero, Víctor; Aguilar, Ramiro; Martén Rodriguez, Silvana; Ashworth, Lorena; Lopezaraiza Mikel, Martha; et al.; A quantitative review of pollination syndromes: do floral traits predict effective pollinators?; Wiley Blackwell Publishing, Inc; Ecology Letters; 17; 3; 1-2014; 388-4001461-023X1461-0248enginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/ele.12224/abstractinfo:eu-repo/semantics/altIdentifier/doi/ 10.1111/ele.12224info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:14:09Zoai:ri.conicet.gov.ar:11336/14512instacron: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:34982025-10-15 15:14:10.048CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A quantitative review of pollination syndromes: do floral traits predict effective pollinators?
title A quantitative review of pollination syndromes: do floral traits predict effective pollinators?
spellingShingle A quantitative review of pollination syndromes: do floral traits predict effective pollinators?
Rosas Guerrero, Víctor
Evolucion Floral
Sindrome Floral
Meta Analisis
Sistema Reproductivo de Plantas
Eficiencia en La Polinizacion
Redes de Polinizacion
title_short A quantitative review of pollination syndromes: do floral traits predict effective pollinators?
title_full A quantitative review of pollination syndromes: do floral traits predict effective pollinators?
title_fullStr A quantitative review of pollination syndromes: do floral traits predict effective pollinators?
title_full_unstemmed A quantitative review of pollination syndromes: do floral traits predict effective pollinators?
title_sort A quantitative review of pollination syndromes: do floral traits predict effective pollinators?
dc.creator.none.fl_str_mv Rosas Guerrero, Víctor
Aguilar, Ramiro
Martén Rodriguez, Silvana
Ashworth, Lorena
Lopezaraiza Mikel, Martha
Bastida, Jesús
Quesada, Mauricio
author Rosas Guerrero, Víctor
author_facet Rosas Guerrero, Víctor
Aguilar, Ramiro
Martén Rodriguez, Silvana
Ashworth, Lorena
Lopezaraiza Mikel, Martha
Bastida, Jesús
Quesada, Mauricio
author_role author
author2 Aguilar, Ramiro
Martén Rodriguez, Silvana
Ashworth, Lorena
Lopezaraiza Mikel, Martha
Bastida, Jesús
Quesada, Mauricio
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Evolucion Floral
Sindrome Floral
Meta Analisis
Sistema Reproductivo de Plantas
Eficiencia en La Polinizacion
Redes de Polinizacion
topic Evolucion Floral
Sindrome Floral
Meta Analisis
Sistema Reproductivo de Plantas
Eficiencia en La Polinizacion
Redes de Polinizacion
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The idea of pollination syndromes has been largely discussed but no formal quantitative evaluation has yet been conducted across angiosperms. We present the first systematic review of pollination syndromes that quantitatively tests whether the most effective pollinators for a species can be inferred from suites of floral traits for 417 plant species. Our results support the syndrome concept, indicating that convergent floral evolution is driven by adaptation to the most effective pollinator group. The predictability of pollination syndromes is greater in pollinator-dependent species and in plants from tropical regions. Many plant species also have secondary pollinators that generally correspond to the ancestral pollinators documented in evolutionary studies. We discuss the utility and limitations of pollination syndromes and the role of secondary pollinators to understand floral ecology and evolution.
Fil: Rosas Guerrero, Víctor. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; México. Universidad Autónoma de Guerrero. Unidad Academica en Desarrollo Sustentable; México
Fil: Aguilar, Ramiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Martén Rodriguez, Silvana. Centro Regional del Bajío. Instituto de Ecología; México
Fil: Ashworth, Lorena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Lopezaraiza Mikel, Martha. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; México. Universidad Autónoma de Guerrero. Unidad Academica en Desarrollo Sustentable; México
Fil: Bastida, Jesús. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; México
Fil: Quesada, Mauricio. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones En Ecosistemas; México
description The idea of pollination syndromes has been largely discussed but no formal quantitative evaluation has yet been conducted across angiosperms. We present the first systematic review of pollination syndromes that quantitatively tests whether the most effective pollinators for a species can be inferred from suites of floral traits for 417 plant species. Our results support the syndrome concept, indicating that convergent floral evolution is driven by adaptation to the most effective pollinator group. The predictability of pollination syndromes is greater in pollinator-dependent species and in plants from tropical regions. Many plant species also have secondary pollinators that generally correspond to the ancestral pollinators documented in evolutionary studies. We discuss the utility and limitations of pollination syndromes and the role of secondary pollinators to understand floral ecology and evolution.
publishDate 2014
dc.date.none.fl_str_mv 2014-01
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/11336/14512
Rosas Guerrero, Víctor; Aguilar, Ramiro; Martén Rodriguez, Silvana; Ashworth, Lorena; Lopezaraiza Mikel, Martha; et al.; A quantitative review of pollination syndromes: do floral traits predict effective pollinators?; Wiley Blackwell Publishing, Inc; Ecology Letters; 17; 3; 1-2014; 388-400
1461-023X
1461-0248
url http://hdl.handle.net/11336/14512
identifier_str_mv Rosas Guerrero, Víctor; Aguilar, Ramiro; Martén Rodriguez, Silvana; Ashworth, Lorena; Lopezaraiza Mikel, Martha; et al.; A quantitative review of pollination syndromes: do floral traits predict effective pollinators?; Wiley Blackwell Publishing, Inc; Ecology Letters; 17; 3; 1-2014; 388-400
1461-023X
1461-0248
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/ele.12224/abstract
info:eu-repo/semantics/altIdentifier/doi/ 10.1111/ele.12224
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
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)
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
_version_ 1846083288820613120
score 13.22299

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