Constructing more informative plant-pollinator networks : visitation and pollen deposition networks in a heathland plant community
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Date
02/09/2015Funder
Grant ID
NE/K004522/1
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Abstract
Interaction networks are widely used as tools to understand plant–pollinator communities, and to examine potential threats to plant diversity and food security if the ecosystem service provided by pollinating animals declines. However, most networks to date are based on recording visits to flowers, rather than recording clearly defined effective pollination events. Here we provide the first networks that explicitly incorporate measures of pollinator effectiveness (PE) from pollen deposition on stigmas per visit, and pollinator importance (PI) as the product of PE and visit frequency. These more informative networks, here produced for a low diversity heathland habitat, reveal that plant–pollinator interactions are more specialized than shown in most previous studies. At the studied site, the specialization index H'2 was lower for the visitation network than the PE network, which was in turn lower than H'2 for the PI network. Our study shows that collecting PE data is feasible for community-level studies in low diversity communities and that including information about PE can change the structure of interaction networks. This could have important consequences for our understanding of threats to pollination systems.
Citation
Ballantyne , G A , Baldock , K C R & Willmer , P G 2015 , ' Constructing more informative plant-pollinator networks : visitation and pollen deposition networks in a heathland plant community ' , Proceedings of the Royal Society B: Biological Sciences , vol. 282 , 20151130 . https://doi.org/10.1098/rspb.2015.1130
Publication
Proceedings of the Royal Society B: Biological Sciences
Status
Peer reviewed
ISSN
0962-8452Type
Journal article
Rights
Copyright 2015 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
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