The topology of spatial networks affects stability in experimental metacommunities
Arancibia, P. A. (2024). The topology of spatial networks affects stability in experimental metacommunities. Proceedings of the Royal Society B : Biological Sciences, 291(2024), Article 20240567. https://doi.org/10.1098/rspb.2024.0567
Julkaistu sarjassa
Proceedings of the Royal Society B : Biological SciencesTekijät
Päivämäärä
2024Tekijänoikeudet
© 2024 Royal Society Publishing
Understanding the drivers of community stability has been a central goal in ecology. Traditionally, emphasis has been placed on studying the effects of biotic interactions on community variability, and less is understood about how the spatial configuration of habitats promotes or hinders metacommunity stability. To test the effects of contrasting spatial configurations on metacommunity stability, I designed metacommunities with patches connected as random or scale-free networks. In these microcosms, two prey and one protist predator dispersed, and I evaluated community persistence, tracked biomass variations, and measured synchrony between local communities and the whole metacommunity. After 30 generations, scale-free metacommunities had lower global biomass variability and higher persistence, suggesting higher stability. Synchrony between patches was lower in scale-free metacommunities. Patches in scale-free metacommunities showed a positive relationship between variability and patch connectivity, indicating higher stability in isolated communities. No clear relationship between variability and patch connectivity was observed in random networks. These results suggest the increased heterogeneity in connectivity of scale-free networks favours the prevalence of isolated patches of the metacommunity, which likely act as refugia against competition-the dominant interaction in this system-resulting in higher global stability. These results highlight the importance of accounting for network topology in the study of spatial dynamics.
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0962-8452Asiasanat
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https://converis.jyu.fi/converis/portal/detail/Publication/220868585
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This research was supported by a Rutgers University Graduate Program in Ecology and Evolution “Small Grant”, and a “Ted Stiles” award.Lisenssi
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