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Ecology Letters
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Article . 2014
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Ecology Letters
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Ecology Letters
Article . 2014
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A quantitative review of pollination syndromes: do floral traits predict effective pollinators?

Authors: Rosas Guerrero, Víctor; Aguilar, Ramiro; Martén Rodriguez, Silvana; Ashworth, Lorena; Lopezaraiza Mikel, Martha; Bastida, Jesús; Quesada, Mauricio;

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

Abstract

AbstractThe 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.

Country
Argentina
Keywords

Redes de Polinizacion, Geography, Adaptation, Biological, Eficiencia en La Polinizacion, Flowers, Sindrome Floral, Biological Evolution, Floral Evolution, Magnoliopsida, Pollination Networks, Plant Breeding Systems, Species Specificity, https://purl.org/becyt/ford/1.6, Sistema Reproductivo de Plantas, Evolucion Floral, https://purl.org/becyt/ford/1, Pollination, Symbiosis, Meta Analisis, Phylogeny, Meta-Analysis

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    selected citations
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    450
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
450
Top 0.1%
Top 1%
Top 1%
Green
bronze