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Pollinator importance networks illustrate the crucial value of bees in a highly speciose plant community

Accurate predictions of pollination service delivery require a comprehensive understanding of the interactions between plants and flower visitors. To improve measurements of pollinator performance underlying such predictions, we surveyed visitation frequency, pollinator effectiveness (pollen deposit...

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Autores principales: Ballantyne, Gavin, Baldock, Katherine C. R., Rendell, Luke, Willmer, P. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566368/
https://www.ncbi.nlm.nih.gov/pubmed/28827573
http://dx.doi.org/10.1038/s41598-017-08798-x
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author Ballantyne, Gavin
Baldock, Katherine C. R.
Rendell, Luke
Willmer, P. G.
author_facet Ballantyne, Gavin
Baldock, Katherine C. R.
Rendell, Luke
Willmer, P. G.
author_sort Ballantyne, Gavin
collection PubMed
description Accurate predictions of pollination service delivery require a comprehensive understanding of the interactions between plants and flower visitors. To improve measurements of pollinator performance underlying such predictions, we surveyed visitation frequency, pollinator effectiveness (pollen deposition ability) and pollinator importance (the product of visitation frequency and effectiveness) of flower visitors in a diverse Mediterranean flower meadow. With these data we constructed the largest pollinator importance network to date and compared it with the corresponding visitation network to estimate the specialisation of the community with greater precision. Visitation frequencies at the community level were positively correlated with the amount of pollen deposited during individual visits, though rarely correlated at lower taxonomic resolution. Bees had the highest levels of pollinator effectiveness, with Apis, Andrena, Lasioglossum and Osmiini bees being the most effective visitors to a number of plant species. Bomblyiid flies were the most effective non-bee flower visitors. Predictions of community specialisation (H(2)′) were higher in the pollinator importance network than the visitation network, mirroring previous studies. Our results increase confidence in existing measures of pollinator redundancy at the community level using visitation data, while also providing detailed information on interaction quality at the plant species level.
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spelling pubmed-55663682017-08-23 Pollinator importance networks illustrate the crucial value of bees in a highly speciose plant community Ballantyne, Gavin Baldock, Katherine C. R. Rendell, Luke Willmer, P. G. Sci Rep Article Accurate predictions of pollination service delivery require a comprehensive understanding of the interactions between plants and flower visitors. To improve measurements of pollinator performance underlying such predictions, we surveyed visitation frequency, pollinator effectiveness (pollen deposition ability) and pollinator importance (the product of visitation frequency and effectiveness) of flower visitors in a diverse Mediterranean flower meadow. With these data we constructed the largest pollinator importance network to date and compared it with the corresponding visitation network to estimate the specialisation of the community with greater precision. Visitation frequencies at the community level were positively correlated with the amount of pollen deposited during individual visits, though rarely correlated at lower taxonomic resolution. Bees had the highest levels of pollinator effectiveness, with Apis, Andrena, Lasioglossum and Osmiini bees being the most effective visitors to a number of plant species. Bomblyiid flies were the most effective non-bee flower visitors. Predictions of community specialisation (H(2)′) were higher in the pollinator importance network than the visitation network, mirroring previous studies. Our results increase confidence in existing measures of pollinator redundancy at the community level using visitation data, while also providing detailed information on interaction quality at the plant species level. Nature Publishing Group UK 2017-08-21 /pmc/articles/PMC5566368/ /pubmed/28827573 http://dx.doi.org/10.1038/s41598-017-08798-x Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ballantyne, Gavin
Baldock, Katherine C. R.
Rendell, Luke
Willmer, P. G.
Pollinator importance networks illustrate the crucial value of bees in a highly speciose plant community
title Pollinator importance networks illustrate the crucial value of bees in a highly speciose plant community
title_full Pollinator importance networks illustrate the crucial value of bees in a highly speciose plant community
title_fullStr Pollinator importance networks illustrate the crucial value of bees in a highly speciose plant community
title_full_unstemmed Pollinator importance networks illustrate the crucial value of bees in a highly speciose plant community
title_short Pollinator importance networks illustrate the crucial value of bees in a highly speciose plant community
title_sort pollinator importance networks illustrate the crucial value of bees in a highly speciose plant community
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566368/
https://www.ncbi.nlm.nih.gov/pubmed/28827573
http://dx.doi.org/10.1038/s41598-017-08798-x
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