ArticleEcology letters2026
Linking Biotic Interactions to Species Stability.
Article in Ecology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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Authors and funding
5 authors.
Funding
Abstract
Ecological communities are typically composed of many species, each interacting with many others. This complexity makes it difficult to predict their responses to disturbances. Here a mathematical analysis of ecological models reveals a surprisingly simple principle: species responses to diverse disturbances can be predicted by a single metric: self-regulation loss (SL). SL quantifies the extent to which self-regulation effectively weighs on species population dynamics and is a collective outcome of biotic interactions. In simulated communities, SL accurately predicts species responses to pulse and press disturbances. On data from protist community experiments, SL successfully forecasts species responses to temperature changes. We therefore propose that, despite the complexity of ecological communities, species dynamics may still be governed by a simple organizing principle.
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Registered trials
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