Dynamics of interaction networks and species' contributions to community-scale flexibility
Toju, H.; Suzuki, S. S.; Baba, Y. G.
Show abstract
Architecture of species interaction networks is a key factor determining stability of ecological communities. However, the fact that ecological network architecture can change through time is often overlooked in discussions on community-level processes despite its theoretical importance. By compiling a time-series community dataset involving 50 spider species and 974 Hexapoda prey species/strains, we quantified the extent to which architecture of predator-prey interaction networks can shift across time points. We then developed a framework for finding species that could promote flexibility of interaction network architecture. Those "network coordinator" species are expected to promote persistence of species-rich ecological communities by buffering perturbations to communities. Although spiders are often considered as generalist predators, contributions to network flexibility varied greatly among species. We also found that detritivorous prey species can be cores of interaction rewiring, dynamically interlinking below-ground and above-ground community dynamics. Analyses of network coordinators will add a new dimension to our understanding of species coexistence mechanisms and provide platforms for systematically prioritizing species in terms of their potential contributions in ecosystem conservation and restoration. Significance StatementLike networks of human relations, webs of interactions between species are dynamically restructured through time. By compiling time-series time-series dataset including > 1,000 species/strains, we quantified the magnitude of ecological network dynamics in the wild. The analytical framework developed in this study highlighted "network coordinator" species, which are keys to conserve and restore endangered ecosystems.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Species interactions drive continuous assembly of freshwater communities in stochastic environments 95%
- Scarcity of scale-free topology is universal across biochemical networks 92%
- Using null models to compare bacterial and microeukaryotic metacommunity assembly under shifting environmental conditions 91%
Similar papers in this journal
Similar papers in this journal
- Contribution of genome scale metabolic modeling to niche theory 92%
- Cooperation increases robustness to ecological disturbance in microbial cross-feeding networks 92%
- Arrive and wait: inactive bacterial taxa contribute to perceived soil microbiome resilience after a multidecadal press disturbance 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.