Evidence map›Paper›PMID 41339356›Full record

ArticleScientific reports2025

Quantitative-genetic analysis of directional adaptation suggests low maximum sustainable rates of change in agreement with data from field populations.

Mark Pagel, Jacob D Gardner, Andrew Meade

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Mark PagelSchool of Biological Sciences, University of Reading, Reading, UK. m.pagel@reading.ac.uk.
Jacob D GardnerSchool of Biological Sciences, University of Reading, Reading, UK.
Andrew MeadeSchool of Biological Sciences, University of Reading, Reading, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What rates of directional change are species likely to be capable of sustaining indefinitely such as in response to a warming climate? We derive estimates of the maximum rates of phenotypic change that populations can sustain in response to a directionally changing environment, using a quantitative genetics simulation model whose parameters are calibrated with data from natural populations. Sustainable directional change is largely limited to ≤2-4% of a trait standard deviation per generation, in agreement with an estimate derived from quantitative-genetic theory and with published field studies. Data from thirty-seven longitudinal field-studies of species' phenological responses to a warming climate yield rates of change that fall in the 68th-86th percentiles of our predictions for what populations can sustain, and there are suggestions that the rate of climate change may already have diminished their capacities to maintain these rates. Given the pace of climate change, species with generation times greater than four years may be especially at risk.

Indexed as

Adaptation, PhysiologicalClimate ChangeGenetics, PopulationModels, GeneticPhenotypeClimate changeDirectional changeEcologyEnvironmentSustainable phenotypic change

Identifiers

PMID41339356
PMCPMC12678822

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.