Evidence map›Paper›PMID 41187915›Full record

ArticleProceedings. Biological sciences2025

Response diversity is a major driver of temporal stability in complex food webs.

Alain Danet, Sonia Kéfi, Thomas F Johnson, Andrew P Beckerman

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Alain DanetSchool of Biosciences, Ecology and Evolutionary Biology, University of Sheffield, Sheffield S10 2TN, UK.ORCID 0000-0002-1592-9483
Sonia KéfiISEM, Univ Montpellier, CNRS, IRD, Montpellier 34070, France.ORCID 0000-0002-9678-7770
Thomas F JohnsonSchool of Biosciences, Ecology and Evolutionary Biology, University of Sheffield, Sheffield S10 2TN, UK.ORCID 0000-0002-6363-1825
Andrew P BeckermanSchool of Biosciences, Ecology and Evolutionary Biology, University of Sheffield, Sheffield S10 2TN, UK.ORCID 0000-0002-4797-9143

Funding

Natural Environment Research Council
6 · The paper itself

Abstract

Global change constitutes a major threat to biodiversity and ecosystem functions and places the temporal stability of ecological communities at risk. Classic theory identifies species richness and food web structure as key drivers of temporal stability, while recent work highlights response diversity-variation in species' responses to environmental perturbations-as a critical stabilizer via asynchrony in population fluctuations. However, how these mechanisms interact in complex, multi-trophic communities remain unresolved. Using a stochastic, bioenergetic food web model, we integrate these multiple bodies of theory to reveal that response diversity is a major driver of community stability. Moreover, our integrated theory reveals that positive stability-richness relationships emerge only in the presence of response diversity. In contrast to previous work, we also find that food web structure is only a secondary driver of community stability but interacts with response diversity to determine the sign of the stability-richness relationship. Our study reveals identifiable pathways by which food web structure and response diversity drive community stability and raises concerns about how the loss of response diversity may lead to a breakdown of community stability.

Indexed as

BiodiversityFood ChainAnimalsModels, BiologicalPopulation Dynamicsdiversity-stabilityenvironmental stochasticityfood webresponse diversitytemporal stabilitytheoretical modelling

Identifiers

PMID41187915
PMCPMC12585873

What OpenQuestion holds

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LicenceCC BY
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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.