Evidence map›Paper›PMID 38437535›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Chaotic turnover of rare and abundant species in a strongly interacting model community.

Emil Mallmin, Arne Traulsen, Silvia De Monte

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  13. Landscape and environmental heterogeneity support coexistence in competitive metacommunities.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  14. Review
  15. 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
  16. Article
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.

Emil MallminMax Planck Institute for Evolutionary Biology, Department of Theoretical Biology, Plön 24306, Germany.ORCID 0000-0001-8114-5647
Arne TraulsenMax Planck Institute for Evolutionary Biology, Department of Theoretical Biology, Plön 24306, Germany.ORCID 0000-0002-0669-5267
Silvia De MonteMax Planck Institute for Evolutionary Biology, Department of Theoretical Biology, Plön 24306, Germany.ORCID 0000-0001-7953-5494

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The composition of ecological communities varies not only between different locations but also in time. Understanding the fundamental processes that drive species toward rarity or abundance is crucial to assessing ecosystem resilience and adaptation to changing environmental conditions. In plankton communities in particular, large temporal fluctuations in species abundances have been associated with chaotic dynamics. On the other hand, microbial diversity is overwhelmingly sustained by a "rare biosphere" of species with very low abundances. We consider here the possibility that interactions within a species-rich community can relate both phenomena. We use a Lotka-Volterra model with weak immigration and strong, disordered, and mostly competitive interactions between hundreds of species to bridge single-species temporal fluctuations and abundance distribution patterns. We highlight a generic chaotic regime where a few species at a time achieve dominance but are continuously overturned by the invasion of formerly rare species. We derive a focal-species model that captures the intermittent boom-and-bust dynamics that every species undergoes. Although species cannot be treated as effectively uncorrelated in their abundances, the community's effect on a focal species can nonetheless be described by a time-correlated noise characterized by a few effective parameters that can be estimated from time series. The model predicts a nonunitary exponent of the power-law abundance decay, which varies weakly with ecological parameters, consistent with observation in marine protist communities. The chaotic turnover regime is thus poised to capture relevant ecological features of species-rich microbial communities.

Indexed as

MicrobiotaResilience, PsychologicalEmigration and ImmigrationPlanktonTime Factorsdisordered Lotka–Volterra modelecological chaosplankton ecologyrare biosphere

Identifiers

PMID38437535
PMCPMC10945849

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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.