A quantitative review of pollination syndromes: do floral traits predict effective pollinators?
- Autores
- Rosas Guerrero, Victor; Aguilar, Ramiro; Martén Rodriguez, Silvana; Ashworth, Lorena; Lopezaraiza Mikel, Martha; Bastida, Jesus; 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 and 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, Victor. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones en Ecosistemas; México. Universidad Autónoma de Guerrero; 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. Instituto de Ecologia; 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; México
Fil: Bastida, Jesus. Universidad Nacional Autónoma de México. Centro de Investigaciones en Ecosistemas; México
Fil: Quesada, Mauricio. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones en Ecosistemas; México - Materia
-
Floral Evolution
Meta-Analysis
Pollination Networks
Plant Breeding Systems - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/10973
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A quantitative review of pollination syndromes: do floral traits predict effective pollinators?Rosas Guerrero, VictorAguilar, RamiroMartén Rodriguez, SilvanaAshworth, LorenaLopezaraiza Mikel, MarthaBastida, JesusQuesada, MauricioFloral EvolutionMeta-AnalysisPollination NetworksPlant Breeding Systemshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The idea of pollination syndromes has been largely discussed and 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, Victor. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones en Ecosistemas; México. Universidad Autónoma de Guerrero; MéxicoFil: Aguilar, Ramiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); ArgentinaFil: Martén Rodriguez, Silvana. Instituto de Ecologia; 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; MéxicoFil: Bastida, Jesus. Universidad Nacional Autónoma de México. Centro de Investigaciones en Ecosistemas; MéxicoFil: Quesada, Mauricio. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones en Ecosistemas; MéxicoWiley2014-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/10973Rosas Guerrero, Victor; 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; Ecology Letters; 17; 1-2014; 388-4001461-023Xenginfo: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 Técnicas2025-09-29T09:41:27Zoai:ri.conicet.gov.ar:11336/10973instacron: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:34982025-09-29 09:41:28.193CONICET 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, Victor Floral Evolution Meta-Analysis Pollination Networks Plant Breeding Systems |
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, Victor Aguilar, Ramiro Martén Rodriguez, Silvana Ashworth, Lorena Lopezaraiza Mikel, Martha Bastida, Jesus Quesada, Mauricio |
author |
Rosas Guerrero, Victor |
author_facet |
Rosas Guerrero, Victor Aguilar, Ramiro Martén Rodriguez, Silvana Ashworth, Lorena Lopezaraiza Mikel, Martha Bastida, Jesus Quesada, Mauricio |
author_role |
author |
author2 |
Aguilar, Ramiro Martén Rodriguez, Silvana Ashworth, Lorena Lopezaraiza Mikel, Martha Bastida, Jesus Quesada, Mauricio |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
Floral Evolution Meta-Analysis Pollination Networks Plant Breeding Systems |
topic |
Floral Evolution Meta-Analysis Pollination Networks Plant Breeding Systems |
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 and 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, Victor. Universidad Nacional Autonoma de Mexico. Centro de Investigaciones en Ecosistemas; México. Universidad Autónoma de Guerrero; 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. Instituto de Ecologia; 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; México Fil: Bastida, Jesus. Universidad Nacional Autónoma de México. 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 and 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/11336/10973 Rosas Guerrero, Victor; 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; Ecology Letters; 17; 1-2014; 388-400 1461-023X |
url |
http://hdl.handle.net/11336/10973 |
identifier_str_mv |
Rosas Guerrero, Victor; 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; Ecology Letters; 17; 1-2014; 388-400 1461-023X |
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 |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
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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1844613309471391744 |
score |
13.070432 |