ArticleScientific reports2019
Reconciling cooperation, biodiversity and stability in complex ecological communities.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Linking complex microbial interactions and dysbiosis through a disordered Lotka-Volterra model.eLife · 2026Article
- Neutral theory of cooperative dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Structural stability estimated through critical perturbation determines evolutionary persistence in mutualistic model ecosystems.Royal Society open science · 2025Article
- Symbioses between fungi and bacteria: from mechanisms to impacts on biodiversity.Current opinion in microbiology · 2024Review
- Delay effects on the stability of large ecosystems.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- OxDNA to Study Species Interactions.Entropy (Basel, Switzerland) · 2022Article
- High-order correlations in species interactions lead to complex diversity-stability relationships for ecosystems.Physical review. E · 2022Article
- Microfluidic and mathematical modeling of aquatic microbial communities.Analytical and bioanalytical chemistry · 2021Review
- Inferring ecosystem networks as information flows.Scientific reports · 2021Article
- Convergency and Stability Responses of Bacterial Communities to Salinization in Arid and Semiarid Areas: Implications for Global Climate Change in Lake Ecosystems.Frontiers in microbiology · 2021Article
- Optimal Microbiome Networks: Macroecology and Criticality.Entropy (Basel, Switzerland) · 2019Article
- Lost in translation? - Caveat to the application of the voter model in ecology and evolutionary biology.Science progressReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Empirical evidences show that ecosystems with high biodiversity can persist in time even in the presence of few types of resources and are more stable than low biodiverse communities. This evidence is contrasted by the conventional mathematical modeling, which predicts that the presence of many species and/or cooperative interactions are detrimental for ecological stability and persistence. Here we propose a modelling framework for population dynamics, which also include indirect cooperative interactions mediated by other species (e.g. habitat modification). We show that in the large system size limit, any number of species can coexist and stability increases as the number of species grows, if mediated cooperation is present, even in presence of exploitative or harmful interactions (e.g. antibiotics). Our theoretical approach thus shows that appropriate models of mediated cooperation naturally lead to a solution of the long-standing question about complexity-stability paradox and on how highly biodiverse communities can coexist.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.