Eco-evolutionary drivers of avian migratory connectivity.

Convention on Migratory Species EURING European-African migrants avian migration bird conservation migration ecology migratory connectivity mobile species ringing encounters

Journal

Ecology letters
ISSN: 1461-0248
Titre abrégé: Ecol Lett
Pays: England
ID NLM: 101121949

Informations de publication

Date de publication:
Jul 2023
Historique:
revised: 23 03 2023
received: 05 07 2022
accepted: 24 03 2023
medline: 26 6 2023
pubmed: 1 5 2023
entrez: 1 5 2023
Statut: ppublish

Résumé

Migratory connectivity, reflecting the extent by which migrants tend to maintain their reciprocal positions in seasonal ranges, can assist in the conservation and management of mobile species, yet relevant drivers remain unclear. Taking advantage of an exceptionally large (~150,000 individuals, 83 species) and more-than-a-century-long dataset of bird ringing encounters, we investigated eco-evolutionary drivers of migratory connectivity in both short- and long-distance Afro-Palearctic migratory birds. Connectivity was strongly associated with geographical proxies of migration costs and was weakly influenced by biological traits and phylogeny, suggesting the evolutionary lability of migratory behaviour. The large intraspecific variability in avian migration strategies, through which most species geographically split into distinct migratory populations, explained why most of them were significantly connected. By unravelling key determinants of migratory connectivity, our study improves knowledge about the resilience of avian migrants to ecological perturbations, providing a critical tool to inform transboundary conservation and management strategies at the population level.

Identifiants

pubmed: 37125435
doi: 10.1111/ele.14223
doi:

Types de publication

Letter

Langues

eng

Sous-ensembles de citation

IM

Pagination

1095-1107

Subventions

Organisme : Convention on Migratory Species
Organisme : EURING
Organisme : Ministry of the Ecological Transition of the Italian Government

Informations de copyright

© 2023 The Authors. Ecology Letters published by John Wiley & Sons Ltd.

Références

Åkesson, S. & Helm, B. (2020) Endogenous programs and flexibility in bird migration. Frontiers in Ecology and Evolution, 8, 78.
Ambrosini, R., Cuervo, J.J., du Feu, C., Fiedler, W., Musitelli, F., Rubolini, D. et al. (2016) Migratory connectivity and effects of winter temperatures on migratory behaviour of the European robin Erithacus rubecula: a continent-wide analysis. Journal of Animal Ecology, 85, 749-760.
Ambrosini, R., Møller, A.P. & Saino, N. (2009) A quantitative measure of migratory connectivity. Journal of Theoretical Biology, 257, 203-211.
Ambrosini, R., Romano, A. & Saino, N. (2019) Changes in migration, carry-over effects, and migratory connectivity. In: Dunn, P.O. & Møller, A.P. (Eds.) Effects of climate change on birds, 2nd edition. Oxford, UK: Oxford University Press, pp. 93-107.
Arbelaitz, O., Gurrutxaga, I., Muguerza, J., Pérez, J.M. & Perona, I. (2013) An extensive comparative study of cluster validity indices. Pattern Recognition, 46, 243-256.
Bacon, L., Madsen, J., Jensen, G.H., de Vries, L., Follestad, A., Koffijberg, K. et al. (2019) Spatio-temporal distribution of Greylag goose Anser anser resightings on the north-west/south-west European flyway: guidance for the delineation of transboundary management units. Wildlife Biology, 2019, 1-10.
Beresford, A.E., Sanderson, F.J., Donald, P.F., Burfield, I.J., Butler, A., Vickery, J.A. et al. (2019) Phenology and climate change in Africa and the decline of afro-palearctic migratory bird populations. Remote Sensing in Ecology and Conservation, 5, 55-69.
Bonnet-Lebrun, A.S., Somveille, M., Rodrigues, A.S. & Manica, A. (2021) Exploring intraspecific variation in migratory destinations to investigate the drivers of migration. Oikos, 130, 187-196.
Boulet, M. & Norris, D.R. (2006) Introduction: the past and present of migratory connectivity. Ornithological Monographs, 61, 1-13.
Briedis, M. & Bauer, S. (2018) Migratory connectivity in the context of differential migration. Biology Letters, 14, 20180679.
Buchan, C., Gilroy, J.J., Catry, I. & Franco, A.M. (2020) Fitness consequences of different migratory strategies in partially migratory populations: a multi-taxa meta-analysis. Journal of Animal Ecology, 89, 678-690.
Chamberlain, S.A., Hovick, S.M., Dibble, C.J., Rasmussen, N.L., Van Allen, B.G., Maitner, B.S. et al. (2012) Does phylogeny matter? Assessing the impact of phylogenetic information in ecological meta-analysis. Ecology Letters, 15, 627-636.
Chapman, B.B., Bronmark, C., Nilsson, J.A. & Hansson, L.A. (2011) The ecology and evolution of partial migration. Oikos, 120, 1764-1775.
Chen, H., Smith, G.J.D., Zhang, S.Y., Qin, K., Wang, J., Li, K.S. et al. (2005) H5N1 virus outbreak in migratory waterfowl. Nature, 436, 191-192.
Clausen, K.K., Madsen, J., Cottaar, F., Kuijken, E. & Verscheure, C. (2018) Highly dynamic wintering strategies in migratory geese: coping with environmental change. Global Change Biology, 24, 3214-3225.
Cohen, E.B., Hostetler, J.A., Hallworth, M.T., Rushing, C.S., Sillett, T.S. & Marra, P.P. (2018) Quantifying the strength of migratory connectivity. Methods in Ecology and Evolution, 9, 513-524.
Cresswell, W. (2014) Migratory connectivity of Palaearctic-African migratory birds and their responses to environmental change: the serial residency hypothesis. Ibis, 156, 493-510.
Dingle, H. & Drake, V.A. (2007) What is migration? Bioscience, 57, 113-121.
du Feu, C.R., Clark, J.A., Schaub, M., Fiedler, W. & Baillie, S.R. (2016) The EURING data Bank - a critical tool for continental-scale studies of marked birds. Ringing and Migration, 31, 1-18.
Dufour, P., de Franceschi, C., Doniol-Valcroze, P., Jiguet, F., Guéguen, M., Renaud, J. et al. (2021) A new westward migration route in an Asian passerine bird. Current Biology, 31, 5590-5596.
Dufour, P., Descamps, S., Chantepie, S., Renaud, J., Guéguen, M., Schiffers, K. et al. (2020) Reconstructing the geographic and climatic origins of long-distance bird migrations. Journal of Biogeography, 47, 155-166.
Dunn, D.C., Harrison, A.L., Curtice, C., DeLand, S., Donnelly, B., Fujioka, E. et al. (2019) The importance of migratory connectivity for global ocean policy. Proceedings of the Royal Society B: Biological Sciences, 286, 20191472.
Finch, T., Butler, S.J., Franco, A.M. & Cresswell, W. (2018) Low migratory connectivity is common in long-distance migrant birds. Journal of Animal Ecology, 86, 662-673.
Foss-Grant, A., Bewick, S. & Fagan, W.F. (2018) Social transmission of migratory knowledge: quantifying the risk of losing migratory behavior. Theoretical Ecology, 11, 257-270.
Gao, B., Hedlund, J., Reynolds, D.R., Zhai, B., Hu, G. & Chapman, J.W. (2020) The ‘migratory connectivity’ concept, and its applicability to insect migrants. Movement Ecology, 8, 1-13.
Gilroy, J.J., Gill, J.A., Butchart, S.H., Jones, V.R. & Franco, A.M. (2016) Migratory diversity predicts population declines in birds. Ecology Letters, 19, 308-317.
Graham, C.H., Storch, D. & Machac, A. (2018) Phylogenetic scale in ecology and evolution. Global Ecology and Biogeography, 27, 175-187.
Gu, Z., Pan, S., Lin, Z., Hu, L., Dai, X., Chang, J. et al. (2021) Climate-driven flyway changes and memory-based long-distance migration. Nature, 591, 259-264.
Hackett, S.J., Kimball, R.T., Reddy, S., Bowie, R.C., Braun, E.L. et al. (2008) A phylogenomic study of birds reveals their evolutionary history. Science, 320, 1763-1768.
Hein, A.M., Hou, C. & Gillooly, J.F. (2012) Energetic and biomechanical constraints on animal migration distance. Ecology Letters, 15, 104-110.
Howard, C., Stephens, P.A., Pearce-Higgins, J.W., Gregory, R.D., Butchart, S.H. & Willis, S.G. (2020) Disentangling the relative roles of climate and land cover change in driving the long-term population trends of European migratory birds. Diversity and Distributions, 26, 1442-1455.
Jiguet, F., Burgess, M., Thorup, K., Conway, G., Arroyo Matos, J.L., Barber, L. et al. (2019) Desert crossing strategies of migrant songbirds vary between and within species. Scientific Reports, 9, 1-12.
Knight, E.C., Harrison, A.L., Scarpignato, A.L., Van Wilgenburg, S.L., Bayne, E.M., Ng, J.W. et al. (2021) Comprehensive estimation of spatial and temporal migratory connectivity across the annual cycle to direct conservation efforts. Ecography, 44, 665-679.
Koleček, J., Procházka, P., Ieronymidou, C., Burfield, I.J. & Reif, J. (2018) Non-breeding range size predicts the magnitude of population trends in trans-Saharan migratory passerine birds. Oikos, 127, 599-606.
Kölzsch, A., Bauer, S., De Boer, R., Griffin, L., Cabot, D., Exo, K.M. et al. (2015) Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore. Journal of Animal Ecology, 84, 272-283.
Kranstauber, B., Weinzierl, R., Wikelski, M. & Safi, K. (2015) Global aerial flyways allow efficient travelling. Ecology Letters, 18, 1338-1345.
La Sorte, F.A. & Fink, D. (2017) Migration distance, ecological barriers and en-route variation in the migratory behaviour of terrestrial bird populations. Global Ecology and Biogeography, 26, 216-227.
Lameris, T.K., van der Jeugd, H.P., Eichhorn, G., Dokter, A.M., Bouten, W., Boom, M.P. et al. (2018) Arctic geese tune migration to a warming climate but still suffer from a phenological mismatch. Current Biology, 28, 2467-2473.
Liedvogel, M., Åkesson, S. & Bensch, S. (2011) The genetics of migration on the move. Trends in Ecology & Evolution, 26, 561-569.
Madsen, J., Tjørnløv, R.S., Frederiksen, M., Mitchell, C. & Sigfússon, A.T. (2014) Connectivity between flyway populations of waterbirds: assessment of rates of exchange, their causes and consequences. Journal of Applied Ecology, 51, 183-193.
Morganti, M. (2015) Birds facing climate change: a qualitative model for the adaptive potential of migratory behaviour. Rivista Italiana di Ornitologia-Research in Ornithology, 85, 3-13.
Mueller, T., O'Hara, R.B., Converse, S.J., Urbanek, R.P. & Fagan, W.F. (2013) Social learning of migratory performance. Science, 341, 999-1002.
Nakagawa, S. & Santos, E.S. (2012) Methodological issues and advances in biological meta-analysis. Evolutionary Ecology, 26, 1253-1274.
Norevik, G., Akesson, S., Artois, T., Beenaerts, N., Conway, G., Cresswell, B. et al. (2020) Wind-associated detours promote seasonal migratory connectivity in a flapping flying long-distance avian migrant. Journal of Animal Ecology, 89, 635-646.
Patchett, R., Finch, T. & Cresswell, W. (2018) Population consequences of migratory variability differ between flyways. Current Biology, 28, R340-R341.
Pulido, F. & Berthold, P. (2010) Current selection for lower migratory activity will drive the evolution of residency in a migratory bird population. Proceedings of the National Academy of Sciences of the United States of America, 107, 7341-7346.
Reif, J., Hořák, D., Krištín, A., Kopsová, L. & Devictor, V. (2016) Linking habitat specialization with species' traits in European birds. Oikos, 125, 405-413.
Robinson, R.A., Crick, H.Q., Learmonth, J.A., Maclean, I.M., Thomas, C.D., Bairlein, F. et al. (2009) Travelling through a warming world: climate change and migratory species. Endangered Species Research, 7, 87-99.
Romano, A., Garamszegi, L.Z., Rubolini, D. & Ambrosini, R. (2023) Temporal shifts in avian phenology across the circannual cycle in a rapidly changing climate: a global meta-analysis. Ecological Monographs, 93, e1552.
Rousseeuw, P.J. (1987) Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53-65.
Rubolini, D., Liker, A., Garamszegi, L.Z., Møller, A.P. & Saino, N. (2015) Using the BirdTree. Org website to obtain robust phylogenies for avian comparative studies: a primer. Current Zoology, 61, 959-965.
Runge, C.A., Martin, T.G., Possingham, H.P., Willis, S.G. & Fuller, R.A. (2014) Conserving mobile species. Frontiers in Ecology and the Environment, 12, 395-402.
Saino, N. & Ambrosini, R. (2008) Climatic connectivity between Africa and Europe may serve as a basis for phenotypic adjustment of migration schedules of trans-Saharan migratory birds. Global Change Biology, 14, 250-263.
Sanderson, F.J., Donald, P.F., Pain, D.J., Burfield, I.J. & Van Bommel, F.P. (2006) Long-term population declines in afro-palearctic migrant birds. Biological Conservation, 131, 93-105.
Sarà, M., Bondi, S., Bermejo, A., Bourgeois, M., Bouzin, M., Bustamante, J. et al. (2019) Broad-front migration leads to strong migratory connectivity in the lesser kestrel (Falco naumanni). Journal of Biogeography, 46, 2663-2677.
Shaw, A.K. (2016) Drivers of animal migration and implications in changing environments. Evolutionary Ecology, 30, 991-1007.
Sheard, C., Neate-Clegg, M.H., Alioravainen, N., Jones, S.E., Vincent, C., MacGregor, H.E. et al. (2020) Ecological drivers of global gradients in avian dispersal inferred from wing morphology. Nature Communications, 11, 1-9.
Somveille, M., Bay, R.A., Smith, T.B., Marra, P.P. & Ruegg, K.C. (2021) A general theory of avian migratory connectivity. Ecology Letters, 24, 1848-1858.
Somveille, M., Manica, A. & Rodrigues, A.S. (2019) Where the wild birds go: explaining the differences in migratory destinations across terrestrial bird species. Ecography, 42, 225-236.
Spina, F., Baillie, S.R., Bairlein, F., Fiedler, W. & Thorup, K. (2022) Eurasian African bird migration atlas. Bonn, Germany and Thetford, UK: EURING/CMS. Available at: https://migrationatlas.org/
Taylor, C.M. & Norris, D.R. (2010) Population dynamics in migratory networks. Theoretical Ecology, 3, 65-73.
Teitelbaum, C.S., Converse, S.J., Fagan, W.F., Böhning-Gaese, K., O'Hara, R.B., Lacy, A.E. et al. (2016) Experience drives innovation of new migration patterns of whooping cranes in response to global change. Nature Communications, 7, 1-7.
Thorup, K., Korner-Nievergelt, F., Cohen, E.B. & Baillie, S.R. (2014) Large-scale spatial analysis of ringing and re-encounter data to infer movement patterns: a review including methodological perspectives. Methods in Ecology and Evolution, 5, 1337-1350.
Trierweiler, C., Klaassen, R.H., Drent, R.H., Exo, K.M., Komdeur, J., Bairlein, F. et al. (2014) Migratory connectivity and population-specific migration routes in a long-distance migratory bird. Proceedings of the Royal Society B: Biological Sciences, 281, 20132897.
Trierweiler, C., Mullié, W.C., Drent, R.H., Exo, K.M., Komdeur, J., Bairlein, F. et al. (2013) A Palaearctic migratory raptor species tracks shifting prey availability within its wintering range in the Sahel. Journal of Animal Ecology, 82, 107-120.
Van Doren, B.M. & Horton, K.G. (2018) A continental system for forecasting bird migration. Science, 361, 1115-1118.
Vickery, J.A., Ewing, S.R., Smith, K.W., Pain, D.J., Bairlein, F., Škorpilová, J. et al. (2014) The decline of afro-Palaearctic migrants and an assessment of potential causes. Ibis, 156, 1-22.
Viechtbauer, W. (2010) Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36, 1-48.
Visser, M.E., Perdeck, A.C., Van Balen, J.H. & Both, C. (2009) Climate change leads to decreasing bird migration distances. Global Change Biology, 15, 1859-1865.
Webster, M.S., Marra, P.P., Haig, S.M., Bensch, S. & Holmes, R.T. (2002) Links between worlds: unraveling migratory connectivity. Trends in Ecology & Evolution, 17, 76-83.
Wilcove, D.S. & Wikelski, M. (2008) Going, going, gone: is animal migration disappearing. PLoS Biology, 6, e188.
Winger, B.M., Auteri, G.G., Pegan, T.M. & Weeks, B.C. (2019) A long winter for the red queen: rethinking the evolution of seasonal migration. Biological Reviews, 94, 737-752.
Winkler, D.W., Gandoy, F.A., Areta, J.I., Iliff, M.J., Rakhimberdiev, E., Kardynal, K.J. et al. (2017) Long-distance range expansion and rapid adjustment of migration in a newly established population of barn swallows breeding in Argentina. Current Biology, 27, 1080-1084.

Auteurs

Niccolò Fattorini (N)

Department of Environmental Science and Policy, University of Milano, Milan, Italy.
Department of Life Sciences, University of Siena, Siena, Italy.
NBFC, National Biodiversity Future Center, Palermo, Italy.

Alessandra Costanzo (A)

Department of Environmental Science and Policy, University of Milano, Milan, Italy.

Andrea Romano (A)

Department of Environmental Science and Policy, University of Milano, Milan, Italy.

Diego Rubolini (D)

Department of Environmental Science and Policy, University of Milano, Milan, Italy.
Istituto di Ricerca sulle Acque, IRSA-CNR, Brugherio, Italy.

Stephen Baillie (S)

British Trust for Ornithology, The Nunnery, Thetford, UK.

Franz Bairlein (F)

Institute of Avian Research, Wilhelmshaven, Germany.
Max-Planck-Institute of Animal Behavior, Radolfzell, Germany.

Fernando Spina (F)

Area Avifauna Migratrice, Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), Ozzano dell'Emilia, Italy.

Roberto Ambrosini (R)

Department of Environmental Science and Policy, University of Milano, Milan, Italy.

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