ArticleEcology letters2022
The impact of individual variation on abrupt collapses in mutualistic networks.
Article in Ecology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- From individuals to networks: The role of variation in plant-pollinator communities' responses to global change.The Journal of animal ecology · 2026Review
- Phytochemical diversity and seasonality are associated with a critical transition in plant-herbivore network structure.Ecology · 2026Article
- When Do Trait-Based Higher Order Interactions and Individual Variation Promote Robust Species Coexistence?Ecology and evolution · 2025Article
- Reviving collapsed plant-pollinator networks from a single species.PLoS biology · 2024Article
- Rising temperature drives tipping points in mutualistic networks.Royal Society open science · 2023Article
- Community structure determines the predictability of population collapse.The Journal of animal ecology · 2022Article
- The impact of individual variation on abrupt collapses in mutualistic networks.Ecology letters · 2022Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Individual variation is central to species involved in complex interactions with others in an ecological system. Such ecological systems could exhibit tipping points in response to changes in the environment, consequently leading to abrupt transitions to alternative, often less desirable states. However, little is known about how individual trait variation could influence the timing and occurrence of abrupt transitions. Using 101 empirical mutualistic networks, I model the eco-evolutionary dynamics of such networks in response to gradual changes in strength of co-evolutionary interactions. Results indicated that individual variation facilitates the timing of transition in such networks, albeit slightly. In addition, individual variation significantly increases the occurrence of large abrupt transitions. Furthermore, topological network features also positively influence the occurrence of such abrupt transitions. These findings argue for understanding tipping points using an eco-evolutionary perspective to better forecast abrupt transitions in ecological systems.
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Registered trials
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