ArticleNature ecology & evolution2024
Interaction network structure explains species' temporal persistence in empirical plant-pollinator communities.
Article in Nature ecology & evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Interaction matrices as unifying tools for navigating ecological complexity.Nature ecology & evolution · 2026Review
- Larger habitat islands maintain more persistent mutualistic assemblages.Nature communications · 2026Article
- Using the Solitary PollinatorEcology and evolution · 2026Review
- A practical guide to characterising ecological coexistence.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Plant-Pollinator Interaction Rewiring Boosts Year-to-Year Community Persistence.Ecology letters · 2026Article
- The Roles of Space and Food-Web Complexity in Mediating Ecological Recovery.Ecology letters · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite clear evidence that some pollinator populations are declining, our ability to predict pollinator communities prone to collapse or species at risk of local extinction is remarkably poor. Here, we develop a model grounded in the structuralist approach that allows us to draw sound predictions regarding the temporal persistence of species in mutualistic networks. Using high-resolution data from a six-year study following 12 independent plant-pollinator communities, we confirm that pollinator species with more persistent populations in the field are theoretically predicted to tolerate a larger range of environmental changes. Persistent communities are not necessarily more diverse, but are generally located in larger habitat patches, and present a distinctive combination of generalist and specialist species resulting in a more nested structure, as predicted by previous theoretical work. Hence, pollinator interactions directly inform about their ability to persist, opening the door to use theoretically informed models to predict species' fate within the ongoing global change.
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Registered trials
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