Pecl, G. T. et al. Biodiversity redistribution under climate change: impacts on ecosystems and human well-being. Science 355, eaai9214 (2017).
Google Scholar
Diffenbaugh, N. S. & Field, C. B. Changes in ecologically critical terrestrial climate conditions. Science 341, 486–492 (2013).
Google Scholar
Viana, D. S., Santamaría, L. & Figuerola, J. Migratory birds as global dispersal vectors. Trends Ecol. Evol. 31, 763–775 (2016).
Google Scholar
Bauer, S. & Hoye, B. J. Migratory animals couple biodiversity and ecosystem functioning worldwide. Science 344, 1242552 (2014).
Google Scholar
Corlett, R. T. & Westcott, D. A. Will plant movements keep up with climate change? Trends Ecol. Evol. 28, 482–488 (2013).
Google Scholar
Lenoir, J. & Svenning, J. C. Climate-related range shifts – a global multidimensional synthesis and new research directions. Ecography 38, 15–28 (2015).
Google Scholar
Lenoir, J. et al. Species better track climate warming in the oceans than on land. Nat. Ecol. Evol. 4, 1044–1059 (2020).
Google Scholar
Loarie, S. R. et al. The velocity of climate change. Nature 462, 1052–1055 (2009).
Google Scholar
Chen, I.-C., Hill, J. K., Ohlemüller, R., Roy, D. B. & Thomas, C. D. Rapid range shifts of species associated with high levels of climate warming. Science 333, 1024–1026 (2011).
Google Scholar
González-Varo, J. P., López-Bao, J. V. & Guitián, J. Seed dispersers help plants to escape global warming. Oikos 126, 1600–1606 (2017).
Google Scholar
Urban, M. C. et al. Improving the forecast for biodiversity under climate change. Science 353, aad8466 (2016).
Google Scholar
Thuiller, W. et al. Predicting global change impacts on plant species’ distributions: future challenges. Perspect. Plant Ecol. Evol. Syst. 9, 137–152 (2008).
Google Scholar
Nadeau, C. P. & Urban, M. C. Eco-evolution on the edge during climate change. Ecography 42, 1280–1297 (2019).
Bacles, C. F. E., Lowe, A. J. & Ennos, R. A. Effective seed dispersal across a fragmented landscape. Science 311, 628 (2006).
Google Scholar
Jordano, P., García, C., Godoy, J. A. & García-Castaño, J. L. Differential contribution of frugivores to complex seed dispersal patterns. Proc. Natl Acad. Sci. USA 104, 3278–3282 (2007).
Google Scholar
Breitbach, N., Böhning-Gaese, K., Laube, I. & Schleuning, M. Short seed-dispersal distances and low seedling recruitment in farmland populations of bird-dispersed cherry trees. J. Ecol. 100, 1349–1358 (2012).
Google Scholar
Cain, M. L., Damman, H. & Muir, A. Seed dispersal and the Holocene migration of woodland herbs. Ecol. Monogr. 68, 325–347 (1998).
Google Scholar
Nathan, R. et al. Spread of North American wind-dispersed trees in future environments. Ecol. Lett. 14, 211–219 (2011).
Google Scholar
Nathan, R. et al. Mechanisms of long-distance seed dispersal. Trends Ecol. Evol. 23, 638–647 (2008).
Google Scholar
Viana, D. S., Gangoso, L., Bouten, W. & Figuerola, J. Overseas seed dispersal by migratory birds. Proc. R. Soc. Lond. B 283, 20152406 (2016).
Viana, D. S., Santamaría, L., Michot, T. C. & Figuerola, J. Migratory strategies of waterbirds shape the continental-scale dispersal of aquatic organisms. Ecography 36, 430–438 (2013).
Google Scholar
Carlquist, S. The biota of long-distance dispersal. V. Plant dispersal to Pacific islands. Bull. Torrey Bot. Club 94, 129–162 (1967).
Google Scholar
Esteves, C. F., Costa, J. M., Vargas, P., Freitas, H. & Heleno, R. H. On the limited potential of Azorean fleshy fruits for oceanic dispersal. PLoS ONE 10, e0138882 (2015).
Google Scholar
Viana, D. S., Santamaría, L., Michot, T. C. & Figuerola, J. Allometric scaling of long-distance seed dispersal by migratory birds. Am. Nat. 181, 649–662 (2013).
Google Scholar
Martínez-López, V., García, C., Zapata, V., Robledano, F. & De la Rúa, P. Intercontinental long-distance seed dispersal across the Mediterranean basin explains population genetic structure of a bird-dispersed shrub. Mol. Ecol. 29, 1408–1420 (2020).
Google Scholar
Newton, I. The Migration Ecology of Birds (Elsevier, 2010).
Sorensen, A. E. Interactions between birds and fruit in a temperate woodland. Oecologia 50, 242–249 (1981).
Google Scholar
González-Varo, J. P., Arroyo, J. M. & Jordano, P. The timing of frugivore-mediated seed dispersal effectiveness. Mol. Ecol. 28, 219–231 (2019).
Google Scholar
Jordano, P. in Seeds: The Ecology of Regeneration of Plant Communities (ed. Gallagher, R. S.) 18–61 (CABI, 2014).
Bascompte, J. & Jordano, P. Mutualistic Networks (Princeton Univ. Press, 2013).
Gallinat, A. S. et al. Patterns and predictors of fleshy fruit phenology at five international botanical gardens. Am. J. Bot. 105, 1824–1834 (2018).
Google Scholar
Cadotte, M. W. Experimental evidence that evolutionarily diverse assemblages result in higher productivity. Proc. Natl Acad. Sci. USA 110, 8996–9000 (2013).
Google Scholar
Mitter, C., Farrell, B. & Futuyma, D. J. Phylogenetic studies of insect–plant interactions: insights into the genesis of diversity. Trends Ecol. Evol. 6, 290–293 (1991).
Google Scholar
Siemann, E., Tilman, D., Haarstad, J. & Ritchie, M. Experimental tests of the dependence of arthropod diversity on plant diversity. Am. Nat. 152, 738–750 (1998).
Google Scholar
Sanderson, F. J., Donald, P. F., Pain, D. J., Burfield, I. J. & van Bommel, F. P. J. Long-term population declines in Afro-Palearctic migrant birds. Biol. Conserv. 131, 93–105 (2006).
Google Scholar
Beresford, A. E. et al. Phenology and climate change in Africa and the decline of Afro-Palearctic migratory bird populations. Remote Sens. Ecol. Conserv. 5, 55–69 (2019).
Google Scholar
Nilsson, C., Bäckman, J. & Alerstam, T. Seasonal modulation of flight speed among nocturnal passerine migrants: differences between short- and long-distance migrants. Behav. Ecol. Sociobiol. 68, 1799–1807 (2014).
Google Scholar
Gaston, K. J. Valuing common species. Science 327, 154–155 (2010).
Google Scholar
Horton, K. G. et al. Phenology of nocturnal avian migration has shifted at the continental scale. Nat. Clim. Change 10, 63–68 (2020).
Google Scholar
Miller-Rushing, A. J., Lloyd-Evans, T. L., Primack, R. B. & Satzinger, P. Bird migration times, climate change, and changing population sizes. Glob. Change Biol. 14, 1959–1972 (2008).
Google Scholar
Brochet, A.-L. et al. Preliminary assessment of the scope and scale of illegal killing and taking of birds in the Mediterranean. Bird Conserv. Int. 26, 1–28 (2016).
Google Scholar
Kays, R., Crofoot, M. C., Jetz, W. & Wikelski, M. Terrestrial animal tracking as an eye on life and planet. Science 348, aaa2478 (2015).
Google Scholar
Stiles, E. W. Patterns of fruit presentation and seed dispersal in bird-disseminated woody plants in the eastern deciduous forest. Am. Nat. 116, 670–688 (1980).
Google Scholar
Noma, N. & Yumoto, T. Fruiting phenology of animal-dispersed plants in response to winter migration of frugivores in a warm temperate forest on Yakushima Island, Japan. Ecol. Res. 12, 119–129 (1997).
Google Scholar
Lovas-Kiss, Á. et al. Shorebirds as important vectors for plant dispersal in Europe. Ecography 42, 956–967 (2019).
Google Scholar
Coughlan, N. E., Kelly, T. C., Davenport, J. & Jansen, M. A. K. Up, up and away: bird-mediated ectozoochorous dispersal between aquatic environments. Freshw. Biol. 62, 631–648 (2017).
Google Scholar
Olson, D. M. et al. Terrestrial ecoregions of the world: a new map of life on Earth: a new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity. Bioscience 51, 933–938 (2001).
Google Scholar
Rivas-Martínez, S., Penas, A. & Díaz, T. Bioclimatic Map of Europe, Thermoclimatic Belts (Cartographic Service, Univ. León, 2004).
Olesen, J. M. et al. Missing and forbidden links in mutualistic networks. Proc. R. Soc. Lond. B 278, 725–732 (2011).
Snow, B. & Snow, D. Birds and Berries (T. and A. D. Poyser, 1988).
Stiebel, H. & Bairlein, F. Frugivory in central European birds I: diet selection and foraging. Vogelwarte 46, 1–23 (2008).
González-Varo, J. P., Arroyo, J. M. & Jordano, P. Who dispersed the seeds? The use of DNA barcoding in frugivory and seed dispersal studies. Methods Ecol. Evol. 5, 806–814 (2014).
Google Scholar
Simmons, B. I. et al. Moving from frugivory to seed dispersal: incorporating the functional outcomes of interactions in plant–frugivore networks. J. Anim. Ecol. 87, 995–1007 (2018).
Google Scholar
Plein, M. et al. Constant properties of plant–frugivore networks despite fluctuations in fruit and bird communities in space and time. Ecology 94, 1296–1306 (2013).
Google Scholar
Albrecht, J. et al. Variation in neighbourhood context shapes frugivore-mediated facilitation and competition among co-dispersed plant species. J. Ecol. 103, 526–536 (2015).
Google Scholar
García, D. Birds in ecological networks: insights from bird–plant mutualistic interactions. Ardeola 63, 151–180 (2016).
Google Scholar
Farwig, N., Schabo, D. G. & Albrecht, J. Trait-associated loss of frugivores in fragmented forest does not affect seed removal rates. J. Ecol. 105, 20–28 (2017).
Google Scholar
Torroba Balmori, P., Zaldívar García, P. & Hernández Lázaro, Á. Semillas de Frutos Carnosos del Norte Ibérico: Guía de Identificación (Ediciones Univ. Valladolid, 2013).
Stiebel, H. Frugivorie bei Mitteleuropäischen Vögeln. PhD thesis, Univ. Oldenburg (2003).
Jordano, P. Data from: Angiosperm fleshy fruits and seed dispersers: a comparative analysis of adaptation and constraints in plant-animal interactions. Dryad https://doi.org/10.5061/dryad.9tb73 (2013).
González-Varo, J. P., Carvalho, C. S., Arroyo, J. M. & Jordano, P. Unravelling seed dispersal through fragmented landscapes: frugivore species operate unevenly as mobile links. Mol. Ecol. 26, 4309–4321 (2017).
Google Scholar
Ratnasingham, S. & Hebert, P. D. N. bold: the Barcode of Life data system (http://www.barcodinglife.org). Mol. Ecol. Notes 7, 355–364 (2007).
Google Scholar
CBOL Plant Working Group et al. A DNA barcode for land plants. Proc. Natl Acad. Sci. USA 106, 12794–12797 (2009).
Google Scholar
Altschul, S. F. et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 25, 3389–3402 (1997).
Google Scholar
González-Varo, J. P., Díaz-García, S., Arroyo, J. M. & Jordano, P. Seed dispersal by dispersing juvenile animals: a source of functional connectivity in fragmented landscapes. Biol. Lett. 15, 20190264 (2019).
Google Scholar
Fuentes, M. Latitudinal and elevational variation in fruiting phenology among western European bird-dispersed plants. Ecography 15, 177–183 (1992).
Google Scholar
Herrera, C. M. A study of avian frugivores, bird-dispersed plants, and their interaction in Mediterranean scrublands. Ecol. Monogr. 54, 1–23 (1984).
Google Scholar
Hampe, A. & Bairlein, F. Modified dispersal-related traits in disjunct populations of bird-dispersed Frangula alnus (Rhamnaceae): a result of its Quaternary distribution shifts? Ecography 23, 603–613 (2000).
Google Scholar
Thomas, P. A. & Mukassabi, T. A. Biological flora of the British Isles: Ruscus aculeatus. J. Ecol. 102, 1083–1100 (2014).
Google Scholar
Jordano, P. Biología de la reproducción de tres especies del género Lonicera (Caprifoliaceae) en la Sierra de Cazorla. An. Jardin Botanico Madr. 1979 48, 31–52 (1990).
Debussche, M. & Isenmann, P. A Mediterranean bird disperser assemblage: composition and phenology in relation to fruit availability. Rev. Ecol. 47, 411–432 (1992).
Jordano, P. Diet, fruit choice and variation in body condition of frugivorous warblers in Mediterranean scrubland. Ardea 76, 193–209 (1988).
Barroso, Á., Amor, F., Cerdá, X. & Boulay, R. Dispersal of non-myrmecochorous plants by a “keystone disperser” ant in a Mediterranean habitat reveals asymmetric interdependence. Insectes Soc. 60, 75–86 (2013).
Google Scholar
González-Varo, J. P. Fragmentation, habitat composition and the dispersal/predation balance in interactions between the Mediterranean myrtle and avian frugivores. Ecography 33, 185–197 (2010).
Google Scholar
Sánchez-Salcedo, E. M., Martínez-Nicolás, J. J. & Hernández, F. Phenological growth stages of mulberry tree (Morus sp.) codification and description according to the BBCH scale. Ann. Appl. Biol. 171, 441–450 (2017).
Google Scholar
García-Castaño, J. L. Consecuencias Demográficas de la Dispersión de Semillas por Aves y Mamíferos Frugívoros en la Vegetación Mediterránea de Montaña. PhD thesis, Univ. Sevilla (2001).
Gilbert, O. L. Symphoricarpos albus (L.) S. F. Blake (S. rivularis Suksd., S. racemosus Michaux). J. Ecol. 83, 159–166 (1995).
Google Scholar
Billerman, S. M. et al. (eds) Birds of the World (Cornell Laboratory of Ornithology, 2020).
Tellería, J., Asensio, B. & Díaz, M. Aves Ibéricas: II. Paseriformes (J. M. Reyero Editor, 1999).
Díaz, M., Asensio, B. & Tellería, J. L. Aves Ibéricas: I. No paseriformes (J. M. Reyero Editor, 1996).
SEO/Birdlife. La Enciclopedia de las Aves de España (SEO/Birdlife-Fundación BBVA, 2019).
Spina, F. & Volponi, S. Atlante della Migrazione degli Uccelli in Italia. 2. Passeriformi (Ministero dell’Ambiente e della Tutela del Territorio e del Mare, Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), Tipografia SCR-Roma, 2008).
Spina, F. & Volponi, S. Atlante della Migrazione degli Uccelli in Italia. 1. Non-Passeriformi (Ministero dell’Ambiente e della Tutela del Territorio e del Mare, Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), Tipografia CSR-Roma, 2008).
Wernham, C. et al. The Migration Atlas: Movements of the Birds of Britain and Ireland (T. & A. D. Poyser, 2002).
Cramp, S. The Complete Birds of the Western Paleartic (CD-ROM) (Oxford Univ. Press, 1998).
Bairlein, F. et al. Atlas des Vogelzugs – Ringfunde deutscher Brut- und Gastvögel (Aula, 2014).
Tomiałojć, L. & Stawarczyk, T. Awifauna Polski: Rozmieszczenie, Liczebność i Zmiany (PTPP pro. Natura, 2003).
Busse, P., Gromadzki, M. & Szulc, B. Obserwacje przelotu jesiennego ptaków w roku 1960 w Górkach Wschodnich koło Gdańska (Observations on bird migration at Górki Wschodnie near Gdańsk Autumn 1960). Acta Ornithologica 7, 305–336 (1963).
Bobrek, R. et al. Międzysezonowa powtarzalność dynamiki jesiennej migracji wróblowych Passeriformes nad Jeziorem Rakutowskim. Ornis Polonica 57, 39–57 (2016).
Keller, M. et al. Ptaki Środkowej Wisły (M-ŚTO, 2017).
Bocheński, M. et al. Awifauna przelotna i zimująca środkowego odcinka doliny Odry. Ptaki Śląska 16, 123–161 (2006).
BTO. BirdTrack. http://www.birdtrack.net (accessed October 2018).
Brooks, M. E. et al. glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 9, 378–400 (2017).
Google Scholar
Fox, J. & Weisberg, S. An R Companion to Applied Regression 2nd edn (SAGE, 2011).
Douma, J. C. & Weedon, J. T. Analysing continuous proportions in ecology and evolution: a practical introduction to beta and Dirichlet regression. Methods Ecol. Evol. 10, 1412–1430 (2019).
Google Scholar
Smith, S. A. & Brown, J. W. Constructing a broadly inclusive seed plant phylogeny. Am. J. Bot. 105, 302–314 (2018).
Google Scholar
Magallón, S., Gómez-Acevedo, S., Sánchez-Reyes, L. L. & Hernández-Hernández, T. A metacalibrated time-tree documents the early rise of flowering plant phylogenetic diversity. New Phytol. 207, 437–453 (2015).
Google Scholar
Paradis, E. & Schliep, K. ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics 35, 526–528 (2019).
Google Scholar
Pagel, M. Inferring the historical patterns of biological evolution. Nature 401, 877–884 (1999).
Google Scholar
Freckleton, R. P., Harvey, P. H. & Pagel, M. Phylogenetic analysis and comparative data: a test and review of evidence. Am. Nat. 160, 712–726 (2002).
Google Scholar
Molina-Venegas, R. & Rodríguez, M. Á. Revisiting phylogenetic signal; strong or negligible impacts of polytomies and branch length information? BMC Evol. Biol. 17, 53 (2017).
Google Scholar
Revell, L. J. phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 3, 217–223 (2012).
Google Scholar
Dormann, C. F., Fründ, J., Blüthgen, N. & Gruber, B. Indices, graphs and null models: analyzing bipartite ecological networks. Open Ecol. J. 2, 7–24 (2009).
Google Scholar
Bascompte, J., Jordano, P. & Olesen, J. M. Asymmetric coevolutionary networks facilitate biodiversity maintenance. Science 312, 431–433 (2006).
Google Scholar
Bates, D., Maechler, M. & Bolker, B. lme4: linear mixed-effects models using ‘Eigen’ and S4. R package version 1.1-19 https://CRAN.R-project.org/package=lme4 (2013).
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