Evidence map›Paper›PMID 42604564›Full record

SynthesisEcology letters2026

Phenotypic Flexibility in the City: A Meta-Analysis on Variation.

Jules Petit, Melanie Dammhahn

Abstract readMeta-Analysis
In one paragraph

Synthesis in Ecology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

2 authors.

Jules PetitDepartment of Behavioural Biology, University of Münster, Münster, Germany.ORCID https://orcid.org/0009-0008-4061-8346
Melanie DammhahnDepartment of Behavioural Biology, University of Münster, Münster, Germany.ORCID https://orcid.org/0000-0003-0557-740X

Funding

Deutsche Forschungsgemeinschaft 316099922Westfälische Wilhelms-Universität Münster
6 · The paper itself

Abstract

Among global changes, urbanisation entangles a variety of human-induced rapid environmental changes, such as habitat fragmentation, temperature change, introduction of human food sources and pollution. Urban environments in contrast to non-urban ones are often assumed to be more heterogeneous and variable in space and time. A key feature of animals coping with high environmental variability ought to be phenotypic flexibility, that is, the capacity of individuals to express reversible variation in labile traits. However, this 'phenotypic flexibility hypothesis' has not been tested rigorously. We compiled available raw data and used a meta-analysis to estimate overall differences in among- and within-individual variation between urban and non-urban population pairs of wild animals. We considered within-individual variation as a proxy of phenotypic flexibility. Across all taxa, among-individual variation did not differ between urban and non-urban populations. Within-individual variation was marginally lower in urban populations compared to non-urban ones. The potential decrease of phenotypic flexibility in urban individuals could result from the multidimensionality and complexity of urban environmental conditions. Overall, the effects of urbanisation on phenotypic variation are not generalisable and depend on the taxa, species, and traits. Future studies should increase efforts to directly link temporal and spatial environmental variability with phenotypic individual variation.

Indexed as

Biological Variation, PopulationPhenotypeUrbanizationAnimalsCitiesEcosystemenvironmental heterogeneityindividual variationirreversible variationmeta‐analysisphenotypic flexibilityphenotypic plasticityreversible variationurbanisation

Identifiers

PMID42604564
PMCPMC13477745

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.