ArticlePLoS computational biology2024
The structure and robustness of ecological networks with two interaction types.
Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Topological vulnerability explains fungal and bacterial stability differences in restoration of alpine grasslands.Frontiers in microbiology · 2026Article
- Contrasting microbial iron metabolism in sediments from oxic and hypoxic estuaries.Frontiers in microbiology · 2026Article
- Article
- Identification and conservation of critical nodes for shorebirds based on migration network perspective.Movement ecology · 2025Article
- Mutualism provides a basis for biodiversity in eco-evolutionary community assembly.PLoS computational biology · 2025Article
- From friend to foe and back: coevolutionary transitions in the mutualism-antagonism continuum.Proceedings. Biological sciences · 2025Article
- Ecological interactions and genomic innovation fueled the evolution of ray-finned fish endothermy.Science advances · 2025Article
- The persistence of bipartite ecological communities with Lotka-Volterra dynamics.Journal of mathematical biology · 2024Article
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Authors and funding
2 authors.
Funding
Abstract
Until recently, most ecological network analyses investigating the effects of species' declines and extinctions have focused on a single type of interaction (e.g. feeding). In nature, however, diverse interactions co-occur, each of them forming a layer of a 'multilayer' network. Data including information on multiple interaction types has recently started to emerge, giving us the opportunity to have a first glance at possible commonalities in the structure of these networks. We studied the structural features of 44 tripartite ecological networks from the literature, each composed of two layers of interactions (e.g. herbivory and pollination), and investigated their robustness to species losses. Considering two interactions simultaneously, we found that the robustness of the whole community is a combination of the robustness of the two ecological networks composing it. The way in which the layers of interactions are connected to each other affects the interdependence of their robustness. In many networks, this interdependence is low, suggesting that restoration efforts would not automatically propagate through the whole community. Our results highlight the importance of considering multiple interactions simultaneously to better gauge the robustness of ecological communities to species loss and to more reliably identify key species that are important for the persistence of ecological communities.
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