Evidence map›Paper›PMID 41844613›Full record

ArticleNature communications2026

Quantifying the effects of response diversity dynamics on ecosystem stability.

Chih-Hao Hsieh, Ruo-Yu Pan, Chun-Wei Chang, Orlane Anneville, Owen L Petchey

Abstract read
In one paragraph

Article in Nature communications, 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

5 authors.

Chih-Hao Hsieh *Institute of Oceanography, National Taiwan University, Taipei, Taiwan, ROC. chsieh@ntu.edu.tw.ORCID http://orcid.org/0000-0001-5935-7272
Ruo-Yu Pan *Institute of Oceanography, National Taiwan University, Taipei, Taiwan, ROC.
Chun-Wei Chang *Department of Life Science, Institute of Fishery Science, National Taiwan University, Taipei, Taiwan, ROC.ORCID http://orcid.org/0000-0002-9817-2956
Orlane AnnevilleUniversité Savoie Mont Blanc, INRAE, CARRTEL, Thonon-les-Bains, France.ORCID http://orcid.org/0000-0003-1075-5661
Owen L PetcheyDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-7724-1633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variability in species' responses to environmental changes (response diversity) is a critical feature in determining stability of ecosystem-level properties. However, quantifying response diversity remains challenging. A key issue is the context-dependent nature of species' responses: a species reaction to a specific environmental factor can vary depending on other environmental conditions or interactions with other species. Consequently, these responses are dynamic rather than static. We propose a framework to quantify response diversity, incorporating time-variability in species' responses to biotic and abiotic factors and accommodating high-dimensional, nonlinear interactions in complex systems without assuming equilibrium. Using a 40-year set of monthly data from Lake Geneva, we demonstrate that response diversity of the phytoplankton and zooplankton community stabilizes their respective biomass within but not across trophic levels. Importantly, the stabilizing effect of response diversity varies over time, being context-dependent on time-varying environmental conditions. Our method provides an approach for uncovering mechanisms linking biodiversity and ecosystem dynamics.

Indexed as

BiodiversityEcosystemPhytoplanktonZooplanktonAnimalsBiomassLakesModels, BiologicalPopulation Dynamics

Identifiers

PMID41844613
PMCPMC13144527

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.