Evidence map›Paper›PMID 33257553›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Fluctuating optimum and temporally variable selection on breeding date in birds and mammals.

Pierre de Villemereuil, Anne Charmantier, Debora Arlt, Pierre Bize, Patricia Brekke, Lyanne Brouwer, Andrew Cockburn, Steeve D Côté, F Stephen Dobson, Simon R Evans and 24 more

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Chromosome-specific drift under stabilizing selection generates polygenic barriers to sex chromosome turnover.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  17. Impacts of limits to adaptation on population and community persistence in a changing environment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors.

Pierre de VillemereuilCentre d'Écologie Fonctionnelle et Évolutive, CNRS, Université de Montpellier, Université Paul Valéry Montpellier 3, École Pratique des Hautes Études | Paris Science et Lettres, Institut de Recherche pour le Développement, 34000 Montpellier, France; pierre.devillemereuil@ephe.psl.eu luis-miguel.chevin@cefe.cnrs.fr.ORCID 0000-0002-8791-6104
Anne CharmantierCentre d'Écologie Fonctionnelle et Évolutive, CNRS, Université de Montpellier, Université Paul Valéry Montpellier 3, École Pratique des Hautes Études | Paris Science et Lettres, Institut de Recherche pour le Développement, 34000 Montpellier, France.ORCID 0000-0002-0691-2647
Debora ArltDepartment of Ecology, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden.ORCID 0000-0003-0874-4250
Pierre BizeSchool of Biological Sciences, University of Aberdeen, AB24 2TZ Aberdeen, United Kingdom.ORCID 0000-0002-6759-4371
Patricia BrekkeInstitute of Zoology, Zoological Society of London, NW1 4RY London, United Kingdom.ORCID 0000-0001-6298-3194
Lyanne BrouwerDivision of Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, ACT 2600 Australia.ORCID 0000-0001-6728-4851
Andrew CockburnDivision of Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, ACT 2600 Australia.
Steeve D CôtéDépartement de Biologie and Centre d'Études Nordiques, Université Laval, Québec, G1V 0A6 QC, Canada.ORCID 0000-0002-4875-1917
F Stephen DobsonDepartment of Biological Sciences, Auburn University, Auburn, AL 36849.ORCID 0000-0001-5562-6316
Simon R EvansEdward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom.ORCID 0000-0001-5812-4039
Marco Festa-BianchetDépartement de biologie, Université de Sherbrooke, J1K 2R1 Sherbrooke, Québec, Canada.ORCID 0000-0002-2352-3379
Marlène GamelonCentre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, 7491 Trondheim, Norway.ORCID 0000-0002-9433-2369
Sandra HamelDépartement de Biologie, Université Laval, Québec, G1V 0A6 QC, Canada.
Johann HegelbachInstitute of Evolutionary Biology and Environmental Studies, University of Zurich, CH-8057 Zurich, Switzerland.
Kurt JerstadJerstad Viltforvaltning, 4516 Mandal, Norway.
Bart KempenaersDepartment of Behavioural Ecology and Evolutionary Genetics, Max Planck Institute for Ornithology, 82319 Seewiesen, Germany.ORCID 0000-0002-7505-5458
Loeske E B KruukDivision of Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, ACT 2600 Australia.
Jouko KumpulaTerrestrial Population Dynamics, Natural Resources Institute Finland, FIN-999870, Inari, Finland.
Thomas KvalnesCentre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, 7491 Trondheim, Norway.ORCID 0000-0002-3088-7891
Andrew G McAdamDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309.
S Eryn McFarlaneDepartment of Ecology and Genetics, Uppsala University, 75236 Uppsala, Sweden.ORCID 0000-0002-0706-458X
Michael B MorrisseySchool of Biology, University of St. Andrews, St. Andrews, Fife KY16 9TH, United Kingdom.
Tomas PärtDepartment of Ecology, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden.ORCID 0000-0001-7388-6672
Josephine M PembertonInstitute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, United Kingdom.
Anna QvarnströmDepartment of Ecology and Genetics, Uppsala University, 75236 Uppsala, Sweden.ORCID 0000-0002-1178-4053
Ole Wiggo RøstadFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, 1432 Ås, Norway.
Julia SchroederDepartment of Life Sciences, Imperial College London, SL5 7PY Ascot, Berks,.
Juan Carlos SenarBehavioural and Evolutionary Ecology Research Unit, Museu de Ciències Naturals de Barcelona, E-08003 Barcelona, Spain.ORCID 0000-0001-9955-3892
Ben C SheldonEdward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom.
Martijn van de PolDepartment of Animal Ecology, Netherlands Institute of Ecology, 6700 AB Wageningen, The Netherlands.ORCID 0000-0003-4102-4079
Marcel E VisserDepartment of Animal Ecology, Netherlands Institute of Ecology, 6700 AB Wageningen, The Netherlands.ORCID 0000-0002-1456-1939
Nathaniel T WheelwrightDepartment of Biology, Bowdoin College, Brunswick, ME 04011.
Jarle TuftoCentre for Biodiversity Dynamics, Department of Mathematics, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway.
Luis-Miguel ChevinCentre d'Écologie Fonctionnelle et Évolutive, CNRS, Université de Montpellier, Université Paul Valéry Montpellier 3, École Pratique des Hautes Études | Paris Science et Lettres, Institut de Recherche pour le Développement, 34000 Montpellier, France; pierre.devillemereuil@ephe.psl.eu luis-miguel.chevin@cefe.cnrs.fr.ORCID 0000-0003-4188-4618

Funding

Biotechnology and Biological Sciences Research Council BB/L006081/1
6 · The paper itself

Abstract

Temporal variation in natural selection is predicted to strongly impact the evolution and demography of natural populations, with consequences for the rate of adaptation, evolution of plasticity, and extinction risk. Most of the theory underlying these predictions assumes a moving optimum phenotype, with predictions expressed in terms of the temporal variance and autocorrelation of this optimum. However, empirical studies seldom estimate patterns of fluctuations of an optimum phenotype, precluding further progress in connecting theory with observations. To bridge this gap, we assess the evidence for temporal variation in selection on breeding date by modeling a fitness function with a fluctuating optimum, across 39 populations of 21 wild animals, one of the largest compilations of long-term datasets with individual measurements of trait and fitness components. We find compelling evidence for fluctuations in the fitness function, causing temporal variation in the magnitude, but not the direction of selection. However, fluctuations of the optimum phenotype need not directly translate into variation in selection gradients, because their impact can be buffered by partial tracking of the optimum by the mean phenotype. Analyzing individuals that reproduce in consecutive years, we find that plastic changes track movements of the optimum phenotype across years, especially in bird species, reducing temporal variation in directional selection. This suggests that phenological plasticity has evolved to cope with fluctuations in the optimum, despite their currently modest contribution to variation in selection.

Indexed as

Models, GeneticAnimalsBiological EvolutionBirdsDatasets as TopicGenetic FitnessMammalsReproductionSelection, GeneticTime Factorsadaptationfitness landscapefluctuating environmentmeta-analysisphenotypic plasticity

Identifiers

PMID33257553
PMCPMC7116484

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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.