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The topology of spatial networks affects stability in experimental metacommunities.
Arancibia, Paulina A.
Afiliación
  • Arancibia PA; Graduate Program in Ecology and Evolution, Rutgers University , New Brunswick, NJ, USA.
Proc Biol Sci ; 291(2024): 20240567, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38864323
ABSTRACT
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dinámica Poblacional / Ecosistema Límite: Animals Idioma: En Revista: Proc Biol Sci Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dinámica Poblacional / Ecosistema Límite: Animals Idioma: En Revista: Proc Biol Sci Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido