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Zooming into plant-flower visitor networks: an individual trait-based approach

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posted on 2023-07-26, 14:26 authored by Beatriz Rumeu, Danny J. Sheath, Joseph E. Hawes, Thomas C. Ings
Understanding how ecological communities are structured is a major goal in ecology. Ecological networks representing interaction patterns among species have become a powerful tool to capture the mechanisms underlying plant-animal assemblages. However, these networks largely do not account for inter-individual variability and thus may be limiting our development of a clear mechanistic understanding of community structure. In this study, we develop a new individual-trait based approach to examine the importance of individual plant and pollinator functional size traits (pollinator thorax width and plant nectar holder depth) in mutualistic networks. We performed hierarchical cluster analyses to group interacting individuals into classes, according to their similarity in functional size. We then compared the structure of bee-flower networks where nodes represented either species identity or trait sets. The individual trait-based network was almost twice as nested as its species-based equivalent and it had a more symmetric linkage pattern resulting from of a high degree of size-matching. In conclusion, we show that by constructing individual trait-based networks we can reveal important patterns otherwise difficult to observe in species-based networks and thus improve our understanding of community structure. We therefore recommend using both trait-based and species-based approaches together to develop a clearer understanding of the properties of ecological networks.

History

Refereed

  • Yes

Volume

6

Page range

e5618

Publication title

PeerJ

ISSN

2167-8359

Publisher

PeerJ

File version

  • Published version

Language

  • eng

Legacy posted date

2018-09-20

Legacy creation date

2018-09-17

Legacy Faculty/School/Department

Faculty of Science & Engineering

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