Localization-level processes drive the establishment of foreign bird populations around the world


  • 1

    Blackburn, T.M. et al. A unified framework proposal for biological invasions. Ecol Trends. Evol. 26333-339 (2011).

  • 2

    Lewis, S. L. & Maslin, M. A. Defining the Anthropocene. Nature 519, 171-180 (2015).

  • 3

    Pimentel, D. Biological Invasions: Economic and Environmental Costs of Plant Species, Alien Animals and Microbes (CRC, Boca Raton, 2011).

  • 4

    Dyer, E. E., Redding, D. W. and Blackburn, T. M. The global bird invasion atlas, a database of foreign bird distributions worldwide. Sci. Data 4170041 (2017).

  • 5

    Seebens, H., et al. No saturation in the accumulation of exotic species worldwide. Common Nat.. 814435 (2017).

  • 6

    Banks, N.C., Paini, D.R., Bayliss, K. L. & Hodda, M. The role of global trade and transport network topology in the human-mediated dispersion of exotic species. Ecol. Lett. 18188-199 (2015).

  • 7

    Drake, J. A. et al. Biological Invasions: A Global Perspective (John Wiley & Sons, Chichester, 1989).

  • 8

    Crawley, M. in Colonization, Succession and Stability. 26th Symposium of the British Ecological Society (eds Gray, A.J. et al.) 429-453 (Blackwell Scientific Publications, Oxford, 1986).

  • 9

    Lockwood, J. L., Cassey, P. and Blackburn, T. The role of propagule pressure in explaining species invasions. Ecol Trends. Evol. 20223-228 (2005).

  • 10

    Sol, D. et al. Unraveling the life story of successful invaders. Science 337, 580-583 (2012).

  • 11

    Sol, D., Griffin, A.S., Bartomeus, I. & Boyce, H. Exploring or avoiding new food resources? Novelty conflicts in an invading bird. PLoS ONE 6, e19535 (2011).

  • 12

    Sol, D., González-Lagos, C., Lapiedra, O. & Díaz, M. em Ecology and Conservation of Birds in Urban Environments (Eds Murgui, E. & Hedblom, M.) 75-89 (Springer, 2017).

  • 13

    Duncan, R. & Forsyth, D. Conceptual Ecology and Invasion Biology: Reciprocal Approaches to Nature (Eds Cadotte, M. W. et al.) 405-421 (Springer, 2006).

  • 14

    Peterson, A. T. Predicting the geography of species invasions via ecological niche modeling. Q. Rev. Biol. 78419-433 (2003).

  • 15

    Wagner, V. et al. Invasions of alien plants in European forests. Divers. To distribute. 23969-981 (2017).

  • 16

    Duncan, R.P., Blackburn, T.M. & Sol, D. The ecology of bird introductions. Annu Rev. Ecol. Evol. Syst. 3471-98 (2003).

  • 17

    Jeschke, J. M. et al. Support for important hypotheses in invasion biology is uneven and declining. NeoBiota 141-20 (2012).

  • 18

    Pyšek, P. & Richardson, D. M. The biogeography of naturalization in exotic plants. J. Biogeogr. 33, 2040-2050 (2006).

  • 19

    Jeschke, J. M. In all islands and continents, mammals are more successful invaders than birds. Divers. To distribute. 14913-916 (2008).

  • 20

    Veran, S. et al. Modeling spatial expansion of invasive alien species: relative contributions of environmental and anthropogenic factors to the dissemination of the harlequin ladybird in France. Ultrasound 39665-675 (2016).

  • 21

    Case, T. J. Global patterns in the establishment and distribution of exotic birds. Biol. Conserves. 7869-96 (1996).

  • 22

    Cassey, P., Blackburn, T.M., Sol, D., Duncan, R. P. and Lockwood, J. L. Global patterns of introductory effort and establishment success in birds. Proc. R. Soc. Lond. B 271, S405-S408 (2004).

  • 23

    Rue, H., Martino, S. and Chopin, N. Approximate Bayesian approximation for latent Gaussian models using nested Laplace integrated approximations. J. R. Stat. Soc. B 71319-392 (2009).

  • 24

    Ameca and Juárez, E.I.A., Mace, G.M., Cowlishaw, G. & Pettorelli, N. Natural dead populations: causes and consequences for terrestrial mammals. Ecol Trends. Evol. 27272-277 (2012).

  • 25

    Cheke, A. Maritime behavior in domestic crows Corvus splendens-A precursor to ship-assisted dispersion? Phelsuma 16, 65-68 (2008).

  • 26

    Fridley, J.D. et al. The paradox of invasion: reconciling pattern and process in species invasions. Ecology 883-17 (2007).

  • 27

    Allen, W.L., Street, S.E. & Capellini, I. Rapid traces of life history promote successful invasion of amphibians and reptiles. Ecol. Lett. 20222-230 (2017).

  • 28.

    Sæther, B.-E. et al. The variation in life history predicts the effects of population stochasticity on the population dynamics of birds. I am. Nat. 164793-802 (2004).

  • 29

    Hayes, K. R. and Barry, S. C. Are there any consistent predictors of invasion success? Biol. Inv. 10483-506 (2008).

  • 30

    Duncan, R.P., Blackburn, T.M., Rossinelli, S. & Bacher, S. Quantifying risk of invasion: the relationship between probability of establishment and size of the founding population. Methods Ecol. Evol. 5, 1255-1263 (2014).

  • 31

    Dyer, E. E. et al. The global distribution and wealth boosters of exotic bird species. PLoS Biol. 15, e2000942 (2017).

  • 32

    Simberloff, D. & Von Holle, B. Positive interactions of non-indigenous species: invasive collapse? Biol. Inv. 121-32 (1999).

  • 33

    Myhrvold, N.P. et al. An amniotic life history database for performing comparative analyzes on birds, mammals, and reptiles. Ecology 96, 3109 (2015).

  • 34

    Tacutu, R. et al. Human Aging Genomic Resources: integrated databases and tools for the biology and genetics of aging. Nucleic Acid Res. 41, D1027-D1033 (2013).

  • 35

    Wilman, H., et al. EltonTraits 1.0: species-level foraging attributes of the world's birds and mammals. Ecology 952027 (2014).

  • 36

    Sayol, F. et al. Environmental variation and evolution of large brains in birds. Common Nat.. 7, 13971 (2016).

  • 37

    Sol, D., Duncan, R. P., Blackburn, T.M., Cassey, P. & Lefebvre, L. Large brains, improved cognition and response of birds to new environments. Proc. Natl Acad. Sci. USA 1025460-5465 (2005).

  • 38

    Kissling, W. D., Sekercioglu, C. H. & Jetz, W. Bird dietary guild wealth across latitudes, environments and biogeographical regions. Glob. Ecol. Biogeogr. 21, 328-340 (2012).

  • 39

    BirdLife International. IUCN Red List Bird Habitat Classifications http://www.iucnredlist.org (2017).

  • 40.

    Simpson, E. H. Measurement of diversity. Nature 163688 (1949).

  • 41.

    Hastings, D.A. et al. (eds) The Global Digital Elevation Model of One Kilometer of Earth (Globe). Version 1.0 http://www.ngdc.noaa.gov/mgg/topo/globe.html (National Oceanic and Atmospheric Administration, National Geophysical Data Center, 1999) (2015).

  • 42.

    Hijmans, R.J. et al. raster: Analysis and modeling of geographic data. https://cran.r-project.org/web/packages/raster/index.html (2016).

  • 43

    Hijmans, R., et al. WorldClim. Version 1.3 (Univ California, Berkeley, 2005).

  • 44

    Weigelt, P., Jetz, W. & Kreft, H. Bioclimatic and physical characterization of the islands of the world. Proc. Natl Acad. Sci. USA 11015307-15312 (2013).

  • 45

    Brohan, P., Kennedy, J. J., Harris, I., Tett, S.F. & Jones, P. D. Uncertainty estimates for regional and global temperature changes observed: a new 1850 data set. J. Geophys. Atmos Res. 111, D12106 (2006).

  • 46

    Hurtt, G. C. et al. Harmonization of land use scenarios for the period 1500 to 2100: 600 years of global annual transitions of land use in grating, harvesting of wood and resulting secondary lands. Clim Change 109117 (2011).

  • 47

    Jetz, W., Thomas, G. H., Joy, J.B., Hartmann, K. and Mooers, A. O. The global diversity of birds in space and time. Nature 491, 444-448 (2012).

  • 48

    Blangiardo, M., Cameletti, M., Baio, G. and Rue, H. Spatial and spatio-temporal models with R-INLA. Spat. Epidemiol espatiotemporal. 7, 39-55 (2013).

  • 49.

    Watanabe, S. Bayes cross-validation asymptotic equivalence and information criterion widely applicable in the singular learning theory. J. Mach. Learn. Res. 113571-3594 (2010).

  • 50

    Spiegelhalter, D.J., Best, N. G., Carlin, B.P. van der Linde, A. The criterion of deviance information: 12 years later. J. R. Stat. Soc. B 76485-493 (2014).

  • 51

    Gelman, A., Hwang, J. and Vehtari, A. Understanding predictive information criteria for Bayesian models. Stat. Comput. 24997-1016 (2014).

  • 52

    Sullivan, B. L. et al. eBird: A citizen-based birdwatching network in the life sciences. Biol. Conserves. 1422282-2292 (2009).

  • 53

    Raftery, A. E. Bayesian model selection in social research. Sociol. Methodol. 25111-163 (1995).

  • 54

    Revell, L. J. phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 3217-223 (2012).

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