Evidence map›Paper›PMID 41572644›Full record

ArticleJournal of biosciences2026

Cooperation destabilizes communities, but competition pays the price.

Ananda Shikhara Bhat, Suryadeepto Nag, Sutirth Dey

Abstract read
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Article in Journal of biosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ananda Shikhara BhatDepartment of Biology, Indian Institute of Science Education and Research, Pune 411008, India.
Suryadeepto NagDepartment of Biology, Indian Institute of Science Education and Research, Pune 411008, India.
Sutirth DeyDepartment of Biology, Indian Institute of Science Education and Research, Pune 411008, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A classic result in theoretical ecology states that an increase in the proportion of cooperative interactions in unstructured ecological communities leads to a loss of stability to external perturbations. However, the fate and composition of the species that constitute an unstable ecological community following such perturbations remains relatively unexplored. Here, we used an individual-based model to study the population dynamics of unstructured communities following external perturbations to species abundances. We found that while increasing the number of cooperative interactions does indeed increase the probability that a community will experience an extinction following a perturbation, the entire community is rarely wiped out following a perturbation. Instead, only a subset of the ecological community is driven to extinction, and the species that become extinct are more likely to be those engaged in a greater number of competitive interactions. Thus, the resultant community formed after a perturbation has a higher proportion of cooperative interactions than the original community. We showed that this result could be explained by studying the dynamics of the species engaged in the highest number of competitive interactions: After an external perturbation, those species that compete with such a 'top competitor' are more likely to become extinct than expected by chance alone, whereas those that are engaged in cooperative interactions with such a species are less likely to become extinct than expected by chance alone. Our results provide a potential explanation for the ubiquity of cooperative interactions in nature despite the known negative effects of cooperation on community stability.

Indexed as

Competitive BehaviorCooperative BehaviorEcosystemModels, BiologicalAnimalsExtinction, BiologicalPopulation Dynamics

Identifiers

PMID41572644

What OpenQuestion holds

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Registered trials

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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.