Evidence map›Paper›PMID 39964053›Full record

ArticleEcology letters2025

Continent-Wide Drivers of Spatial Synchrony in Breeding Demographic Structure Across Wild Great Tit Populations.

Joe P Woodman, Stefan J G Vriend, Frank Adriaensen, Elena Álvarez, Alexander Artemyev, Emilio Barba, Malcolm D Burgess, Samuel P Caro, Laure Cauchard, Anne Charmantier and 21 more

Abstract read
In one paragraph

Article in Ecology letters, 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. Geography of masting creates greater synchrony in seed scarcity than in seed abundance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

31 authors.

Joe P WoodmanEdward Grey Institute of Field Ornithology, Department of Biology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-9774-1910
Stefan J G VriendDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.ORCID https://orcid.org/0000-0002-9006-5988
Frank AdriaensenEvolutionary Ecology Group, Department of Biology, University of Antwerp, Antwerp, Belgium.
Elena Álvarez'Cavanilles' Institute of Biodiversity and Evolutionary Biology, University of Valencia, Paterna, Spain.
Alexander ArtemyevInstitute of Biology, Karelian Research Centre, Russian Academy of Sciences, Petrozavodsk, Russia.
Emilio Barba'Cavanilles' Institute of Biodiversity and Evolutionary Biology, University of Valencia, Paterna, Spain.ORCID https://orcid.org/0000-0003-2882-9788
Malcolm D BurgessCentre for Research in Animal Behaviour, University of Exeter, Exeter, Devon, UK.ORCID https://orcid.org/0000-0003-1288-1231
Samuel P CaroCentre d'Ecologie Fonctionnelle et Evolutive, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.ORCID https://orcid.org/0000-0002-5405-7753
Laure CauchardCNRS, Department of Biometry and Evolutionary Biology (LBBE), University of Lyon, University Lyon 1, Villeurbanne, France.ORCID https://orcid.org/0000-0001-7444-5473
Anne CharmantierCentre d'Ecologie Fonctionnelle et Evolutive, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.ORCID https://orcid.org/0000-0002-0691-2647
Ella F ColeEdward Grey Institute of Field Ornithology, Department of Biology, University of Oxford, Oxford, UK.
Niels DingemanseBehavioural Ecology, Department of Biology, Ludwig Maximilians University of Munich, Martinsried, Germany.ORCID https://orcid.org/0000-0003-3320-0861
Blandine DoligezCentre d'Ecologie Fonctionnelle et Evolutive, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.ORCID https://orcid.org/0000-0003-3015-5022
Tapio EevaDepartment of Biology, University of Turku, Turku, Finland.ORCID https://orcid.org/0000-0002-0395-1536
Simon R EvansEdward Grey Institute of Field Ornithology, Department of Biology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-5812-4039
Arnaud GrégoireCentre d'Ecologie Fonctionnelle et Evolutive, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.
Marcel LambrechtsCentre d'Ecologie Fonctionnelle et Evolutive, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.ORCID https://orcid.org/0000-0002-5829-7877
Agu LeivitsDepartment of Wildlife, Environmental Board, Pärnu, Estonia.ORCID https://orcid.org/0000-0002-5144-7617
András LikerBehavioural Ecology Research Group, Center for Natural Sciences, University of Pannonia, Veszprém, Hungary.ORCID https://orcid.org/0000-0001-8545-4869
Erik MatthysenEvolutionary Ecology Group, Department of Biology, University of Antwerp, Antwerp, Belgium.ORCID https://orcid.org/0000-0002-7521-9248
Markku OrellEcology and Genetics Research Unit, Faculty of Science, University of Oulu, Oulu, Finland.
John S ParkEdward Grey Institute of Field Ornithology, Department of Biology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-2151-1160
Seppo RytkönenEcology and Genetics Research Unit, Faculty of Science, University of Oulu, Oulu, Finland.ORCID https://orcid.org/0000-0001-5186-6072
Juan Carlos SenarMuseu Ciències Naturals, Barcelona, Spain.ORCID https://orcid.org/0000-0001-9955-3892
Gábor SeressBehavioural Ecology Research Group, Center for Natural Sciences, University of Pannonia, Veszprém, Hungary.ORCID https://orcid.org/0000-0001-9828-4934
Marta SzulkinInstitute of Evolutionary Biology, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, Warsaw, Poland.ORCID https://orcid.org/0000-0002-7355-5846
Kees van OersDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.ORCID https://orcid.org/0000-0001-6984-906X
Emma VatkaEcology and Genetics Research Unit, Faculty of Science, University of Oulu, Oulu, Finland.ORCID https://orcid.org/0000-0003-2935-8295
Marcel E VisserDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.ORCID https://orcid.org/0000-0002-1456-1939
Josh A FirthEdward Grey Institute of Field Ornithology, Department of Biology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-7183-4115
Ben C SheldonEdward Grey Institute of Field Ornithology, Department of Biology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-5240-7828

Funding

Agence Nationale de la Recherche ANR-06-JCJC-0082-01Agence Nationale de la Recherche ANR-19-CE2-0007Biotechnology and Biological Sciences Research Council BB/S009752/1European Research Council AdG250164H2020 Marie Skłodowska-Curie Actions 838763Natural Environment Research Council NE/S010335/1Natural Environment Research Council NE/V013483/1Polish National Science Foundation (NCN) OPUS 2021/41/B/NZ8/04472Research Council of Finland SA338180The Spanish Ministry of Science and Innovation CGL-2020 PID2020-114907GB-C21The Spanish Ministry of Science and Innovation PID2021-122171NB-I00/ AEI/10.13039/501100011033/ FUKRI Frontiers Grant EP/X024520/1
6 · The paper itself

Abstract

Variation in age structure influences population dynamics, yet we have limited understanding of the spatial scale at which its fluctuations are synchronised between populations. Using 32 great tit populations, spanning 4° W-33° E and 35°-65° N involving > 130,000 birds across 67 years, we quantify spatial synchrony in breeding demographic structure (subadult vs. adult breeders) and its drivers. We show that larger clutch sizes, colder winters, and larger beech crops lead to younger populations. We report distance-dependent synchrony of demographic structure, maintained at approximately 650 km. Despite covariation with demographic structure, we do not find evidence for environmental variables influencing the scale of synchrony, except for beech masting. We suggest that local ecological and density-dependent dynamics impact how environmental variation interacts with demographic structure, influencing estimates of the environment's effect on synchrony. Our analyses demonstrate the operation of synchrony in demographic structure over large scales, with implications for age-dependent demography in populations.

Indexed as

PasseriformesReproductionAnimalsClutch SizeFemalePopulation DynamicsSeasonsage structuredemographic structuregreat titmast seedingMoran effectParus majorpopulation dynamicsspatial synchrony

Identifiers

PMID39964053
PMCPMC11834383

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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.