RT journal article
T1 Zooming into plant-flower visitor networks: an individual trait-based approach
A1 Rumeu Ruiz, Beatriz
A1 Sheath, Danny J.
A1 Hawes, Joseph E.
A1 Ings, Thomas C.
A2 Biología
AB 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.
PB PEERJ INC
SN 2167-8359
YR 2018
FD 2018
LK http://hdl.handle.net/10498/30072
UL http://hdl.handle.net/10498/30072
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 12-nov-2026