Evidence map›Paper›PMID 38370542›Full record

ArticleEvolution letters2024

Divergence in evolutionary potential of life history traits among wild populations is predicted by differences in climatic conditions.

Stéphane Chantepie, Anne Charmantier, Boris Delahaie, Frank Adriaensen, Erik Matthysen, Marcel E Visser, Elena Álvarez, Emilio Barba, Markku Orell, Ben Sheldon and 4 more

Abstract read
In one paragraph

Article in Evolution letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Stéphane ChantepieUniversité Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, CNRS, LECA, Laboratoire d'Écologie Alpine, Grenoble, France.
Anne CharmantierCEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.
Boris DelahaieCIRAD, UMR DIADE, Montpellier 34398, France.
Frank AdriaensenEvolutionary Ecology Group, Department of Biology, University of Antwerp, Wilrijk, Belgium.
Erik MatthysenEvolutionary Ecology Group, Department of Biology, University of Antwerp, Wilrijk, Belgium.
Marcel E VisserDepartment of Animal Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.
Elena ÁlvarezCavanilles Institute of Biodiversity and Evolutionary Biology, Department of Microbiology and Ecology, University of Valencia, Paterna, Spain.
Emilio BarbaCavanilles Institute of Biodiversity and Evolutionary Biology, Department of Microbiology and Ecology, University of Valencia, Paterna, Spain.
Markku OrellEcology and Genetics Research Unit, Faculty of Science, University of Oulu, Oulu, Finland.
Ben SheldonEdward Grey Institute, Department of Biology, University of Oxford, Oxford, United Kingdom.
Elena IvankinaZvenigorod Biological Station of Lomonosov Moscow State University, Moscow, Russia.
Anvar KerimovDepartment of Vertebrate Zoology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.ORCID https://orcid.org/0000-0002-3543-2757
Sébastien LavergneUniversité Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, CNRS, LECA, Laboratoire d'Écologie Alpine, Grenoble, France.
Céline TeplitskyCEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short-term adaptive evolution represents one of the primary mechanisms allowing species to persist in the face of global change. Predicting the adaptive response at the species level requires reliable estimates of the evolutionary potential of traits involved in adaptive responses, as well as understanding how evolutionary potential varies across a species' range. Theory suggests that spatial variation in the fitness landscape due to environmental variation will directly impact the evolutionary potential of traits. However, empirical evidence on the link between environmental variation and evolutionary potential across a species range in the wild is lacking. In this study, we estimate multivariate evolutionary potential (via the genetic variance-covariance matrix, or G-matrix) for six morphological and life history traits in 10 wild populations of great tits (

Indexed as

climatic nicheG-matrixgreat titswild populations

Identifiers

PMID38370542
PMCPMC10872211

What OpenQuestion holds

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LicenceCC BY
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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.