Evidence map›Paper›PMID 33893395›Full record

ArticleCommunications biology2021

Boom-bust population dynamics increase diversity in evolving competitive communities.

Michael Doebeli, Eduardo Cancino Jaque, Yaroslav Ispolatov

Abstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  4. A minimal model of panimmunity maintenance by horizontal gene transfer in the ecological dynamics of bacteria and phages.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  9. Chaotic turnover of rare and abundant species in a strongly interacting model community.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  15. Darwinian evolution as a dynamical principle.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Review
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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.

Michael DoebeliDepartment of Zoology and Department of Mathematics, University of British Columbia, 6270 University Boulevard, Vancouver, BC, Canada. doebeli@zoology.ubc.ca.ORCID 0000-0002-5975-5710
Eduardo Cancino JaquePhysics Department, University of Santiago of Chile (USACH), Santiago, Chile.ORCID 0000-0002-6920-2335
Yaroslav IspolatovPhysics Department, University of Santiago of Chile (USACH), Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The processes and mechanisms underlying the origin and maintenance of biological diversity have long been of central importance in ecology and evolution. The competitive exclusion principle states that the number of coexisting species is limited by the number of resources, or by the species' similarity in resource use. Natural systems such as the extreme diversity of unicellular life in the oceans provide counter examples. It is known that mathematical models incorporating population fluctuations can lead to violations of the exclusion principle. Here we use simple eco-evolutionary models to show that a certain type of population dynamics, boom-bust dynamics, can allow for the evolution of much larger amounts of diversity than would be expected with stable equilibrium dynamics. Boom-bust dynamics are characterized by long periods of almost exponential growth (boom) and a subsequent population crash due to competition (bust). When such ecological dynamics are incorporated into an evolutionary model that allows for adaptive diversification in continuous phenotype spaces, desynchronization of the boom-bust cycles of coexisting species can lead to the maintenance of high levels of diversity.

Indexed as

BiodiversityBiological EvolutionEcologyModels, BiologicalModels, TheoreticalPhenotypePopulation Dynamics

Identifiers

PMID33893395
PMCPMC8065032

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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.