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

PeerJ

article

Beatriz Rumeu¹  Danny J. Sheath³  Joseph E. Hawes¹  Thomas C. Ings¹ 

[1] Applied Ecology Research Group, Department of Biology, Anglia Ruskin University;Terrestrial Ecology Group, Mediterranean Institute of Advanced Studies;Institute of Global Health, Faculty of Medicine, University of Geneva;School of Biological and Chemical Sciences, Queen Mary University of London

关键词: Bee–flower interactions;    Cluster analysis;    Intertegular distance;    Nectar holder depth;    Proboscis length;    Pollination;   

DOI  :  10.7717/peerj.5618

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

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.

【 授权许可】

CC BY