1. Temperature synchronizes temporal variation in laying dates across European hole-nesting passerines
- Author
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Stefan J. G. Vriend, Vidar Grøtan, Marlène Gamelon, Frank Adriaensen, Markus P. Ahola, Elena Álvarez, Liam D. Bailey, Emilio Barba, Jean‐Charles Bouvier, Malcolm D. Burgess, Andrey Bushuev, Carlos Camacho, David Canal, Anne Charmantier, Ella F. Cole, Camillo Cusimano, Blandine F. Doligez, Szymon M. Drobniak, Anna Dubiec, Marcel Eens, Tapio Eeva, Kjell Einar Erikstad, Peter N. Ferns, Anne E. Goodenough, Ian R. Hartley, Shelley A. Hinsley, Elena Ivankina, Rimvydas Juškaitis, Bart Kempenaers, Anvar B. Kerimov, John Atle Kålås, Claire Lavigne, Agu Leivits, Mark C. Mainwaring, Jesús Martínez‐Padilla, Erik Matthysen, Kees van Oers, Markku Orell, Rianne Pinxten, Tone Kristin Reiertsen, Seppo Rytkönen, Juan Carlos Senar, Ben C. Sheldon, Alberto Sorace, János Török, Emma Vatka, Marcel E. Visser, Bernt‐Erik Sæther, Animal Ecology (AnE), Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU), Department of Biology [Trondheim] (IBI NTNU), Norwegian University of Science and Technology (NTNU)-Norwegian University of Science and Technology (NTNU), Département écologie évolutive [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), University of Antwerp (UA), Swedish Museum of Natural History (NRM), Unidad de Investigación, Fundación Hospital de Jove, Universitad Politecnica de Valencia, Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Bedfordshire, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), University of Oxford [Oxford], Università degli studi di Palermo - University of Palermo, University of New South Wales [Sydney] (UNSW), Polish Academy of Sciences (PAN), Behavioural Ecology & Ecophysiology Group, University of Turku, High North Research Centre for Climate and the Environment, Norwegian Polar Institute, Centre for Conservation Biology, University of Gloucestershire (Cheltenham, GB), Lancaster University, Centre for Ecology and Hydrology [Wallingford] (CEH), Natural Environment Research Council (NERC), Centre de Recherche en Informatique de Paris 1 (CRI), Université Paris 1 Panthéon-Sorbonne (UP1), Nature Research Centre, Institute of Ecology, Akademijos str. 2, LT-08412, Vilnius, Lithuania., Department of Behavioural Ecology and Evolutionary Genetics, Max Planck Institute for Ornithology, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Evolutionary Ecology Group, Netherlands Institute of Ecology - NIOO-KNAW (NETHERLANDS), Leibniz Institute for Zoo and Wildlife Research (IZW), Leibniz Association, Institut Cavanilles de Biodiversitat i Biologia Evolutiva (ICBiBE), Universitat de València (UV), University of Exeter, Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Oxford, Department of Agriculture and Forest Sciences, Centre National de la Recherche Scientifique (CNRS), Museum and Institute of Zoology, Polska Akademia Nauk = Polish Academy of Sciences (PAN), Department of Biology (Ethology), Cardiff University, University of Gloucestershire [Gloucester], Institute of Ecology of Nature Research Centre, University of Montana, Instituto Pirenaico de Ecologia = Pyrenean Institute of Ecology (IPE), Netherlands Institute of Ecology (NIOO-KNAW), Department of Ecology, University of Oulu, Norwegian Institute for Nature Research (NINA), Museu de Ciències Naturals de Barcelona, and SROPU
- Subjects
Ekologi ,clutch size ,Evolutionary Biology ,comparative analysis ,Ecology ,[SDV]Life Sciences [q-bio] ,weather ,passerines ,timing of breeding ,phenology ,Ecology and Environment ,Evolutionsbiologi ,spatial synchrony ,Chemistry ,fledgling number ,birds ,1181 Ecology, evolutionary biology ,clutch ,fitness-related traits ,Biology ,climate ,Ecology, Evolution, Behavior and Systematics - Abstract
Identifying the environmental drivers of variation in fitness-related traits is a central objective in ecology and evolutionary biology. Temporal fluctuations of these environmental drivers are often synchronized at large spatial scales. Yet, whether synchronous environmental conditions can generate spatial synchrony in fitness-related trait values (i.e., correlated temporal trait fluctuations across populations) is poorly understood. Using data from long-term monitored populations of blue tits (Cyanistes caeruleus, n = 31), great tits (Parus major, n = 35), and pied flycatchers (Ficedula hypoleuca, n = 20) across Europe, we assessed the influence of two local climatic variables (mean temperature and mean precipitation in February–May) on spatial synchrony in three fitness-related traits: laying date, clutch size, and fledgling number. We found a high degree of spatial synchrony in laying date but a lower degree in clutch size and fledgling number for each species. Temperature strongly influenced spatial synchrony in laying date for resident blue tits and great tits but not for migratory pied flycatchers. This is a relevant finding in the context of environmental impacts on populations because spatial synchrony in fitness-related trait values among populations may influence fluctuations in vital rates or population abundances. If environmentally induced spatial synchrony in fitness-related traits increases the spatial synchrony in vital rates or population abundances, this will ultimately increase the risk of extinction for populations and species. Assessing how environmental conditions influence spatiotemporal variation in trait values improves our mechanistic understanding of environmental impacts on populations. birds, climate, clutch size, comparative analysis, fitness-related traits, fledgling number, phenology, spatial synchrony, timing of breeding, weather
- Published
- 2022