Abstract

AbstractOne of the major challenges in evolutionary ecology is to understand how coevolution shapes species interaction networks. Important topological properties of networks such as nestedness and modularity are thought to be affected by coevolution. However, there has been no test whether coevolution does, in fact, lead to predictable network structure. Here, we investigate the structure of simulated bipartite networks generated under different modes of coevolution. We ask whether evolutionary processes influence network structure and, furthermore, whether any emergent trends are influenced by the strength or “intimacy” of the species interactions. We find that coevolution leaves a weak and variable signal on network topology, particularly nestedness and modularity, which was not strongly affected by the intimacy of interactions. Our findings indicate that network metrics, on their own, should not be used to make inferences about processes underlying the evolutionary history of communities. Instead, a more holistic approach that combines network approaches with traditional phylogenetic and biogeographic reconstructions is needed.

Highlights

  • Dynamics of ecological communities are fundamentally shaped by their networks of interacting species (Thompson 2005)

  • We found that the coevolutionary history of a community can have consistent and detectable effects on the structure of interactions (Fig. 3; Appendix S1: Tables S1–S3)

  • We found that coevolution leaves a weak signal on network topology in four coevolutionary community assembly scenarios

Read more

Summary

Introduction

Dynamics of ecological communities are fundamentally shaped by their networks of interacting species (Thompson 2005). In nested networks, a few species interact with many species while the other species interact with progressively smaller subsets of those species Both mutualistic and antagonistic networks can exhibit a high degree of nestedness

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.