Mittelbach, G. G. et al. Evolution and the latitudinal diversity gradient: speciation, extinction and biogeography. Ecol. Lett. 10, 315–331 (2007).
Google Scholar
Pyron, R. A., Alexander Pyron, R. & Wiens, J. J. Large-scale phylogenetic analyses reveal the causes of high tropical amphibian diversity. Proc. R. Soc. B Biol. Sci. 280, 20131622 (2013).
Google Scholar
Pyron, R. A. Temperate extinction in squamate reptiles and the roots of latitudinal diversity gradients. Glob. Ecol. Biogeogr. 23, 1126–1134 (2014).
Google Scholar
Ghalambor, C. K., Huey, R. B., Martin, P. R., Tewksbury, J. J. & Wang, G. Are mountain passes higher in the tropics? Janzen’s hypothesis revisited. Integr. Comp. Biol. 46, 5–17 (2006).
Google Scholar
Stevens, G. C. The latitudinal gradient in geographical range: how so many species coexist in the tropics. Am. Nat. 133, 240–256 (1989).
Google Scholar
Sunday, J. M., Bates, A. E. & Dulvy, N. K. Global analysis of thermal tolerance and latitude in ectotherms. Proc. Biol. Sci. 278, 1823–1830 (2011).
Google Scholar
Janzen, D. H. Why mountain passes are higher in the tropics. Am. Nat. 101, 233–249 (1967).
Google Scholar
Cadena, C. D. et al. Latitude, elevational climatic zonation and speciation in New World vertebrates. Proc. R. Soc. B Biol. Sci. 279, 194–201 (2012).
Google Scholar
Eo, S. H., Wares, J. P. & Carroll, J. P. Population divergence in plant species reflects latitudinal biodiversity gradients. Biol. Lett. 4, 382–384 (2008).
Google Scholar
Polato, N. R. et al. Narrow thermal tolerance and low dispersal drive higher speciation in tropical mountains. Proc. Natl Acad. Sci. USA 115, 12471–12476 (2018).
Google Scholar
McCain, C. M. Vertebrate range sizes indicate that mountains may be ‘higher’ in the tropics. Ecol. Lett. 12, 550–560 (2009).
Google Scholar
Chan, W.-P. et al. Seasonal and daily climate variation have opposite effects on species elevational range size. Science 351, 1437–1439 (2016).
Google Scholar
Shah, A. A. et al. Climate variability predicts thermal limits of aquatic insects across elevation and latitude. Funct. Ecol. 31, 2118–2127 (2018).
Kozak, K. H. & Wiens, J. J. Climatic zonation drives latitudinal variation in speciation mechanisms. Proc. Biol. Sci. 274, 2995–3003 (2007).
Google Scholar
Smith, B. T., Seeholzer, G. F., Harvey, M. G., Cuervo, A. M. & Brumfield, R. T. A latitudinal phylogeographic diversity gradient in birds. PLoS Biol. 15, e2001073 (2017).
Google Scholar
Hewitt, G. The genetic legacy of the quaternary ice ages. Nature 405, 907–913 (2000).
Google Scholar
Smith, B. T., Bryson, R. W. Jr, Houston, D. D. & Klicka, J. An asymmetry in niche conservatism contributes to the latitudinal species diversity gradient in New World vertebrates. Ecol. Lett. 15, 1318–1325 (2012).
Google Scholar
Bull, R. A. S. et al. Why replication is important in landscape genetics: American black bear in the Rocky Mountains. Mol. Ecol. 20, 1092–1107 (2011).
Google Scholar
Peterman, W. E. ResistanceGA: an R package for the optimization of resistance surfaces using genetic algorithms. Methods Ecol. Evol. 9, 1638–1647 (2018).
Google Scholar
Burney, C. W. & Brumfield, R. T. Ecology predicts levels of genetic differentiation in neotropical birds. Am. Nat. 174, 358–368 (2009).
Google Scholar
Kipp, F. A. Der Handflügel-Index als flugbiologisches Maß. Vogelwarte 20, 77–86 (1959).
Stotz, D. F., Fitzpatrick, J. W., Parker, T. A., III & Moskovits, D. K. Neotropical Birds: Ecology and Conservation (Univ. Chicago Press, 1996).
Weir, J. T. & Schluter, D. The latitudinal gradient in recent speciation and extinction rates of birds and mammals. Science 315, 1574–1576 (2007).
Google Scholar
Excoffier, L., Dupanloup, I., Huerta-Sánchez, E., Sousa, V. C. & Foll, M. Robust demographic inference from genomic and SNP data. PLoS Genet. 9, e1003905 (2013).
Google Scholar
Bradburd, G. S., Coop, G. M. & Ralph, P. L. Inferring continuous and discrete population genetic structure across space. Genetics 210, 33–52 (2018).
Google Scholar
Batalha-Filho, H., Cabanne, G. S. & Miyaki, C. Y. Phylogeography of an Atlantic forest passerine reveals demographic stability through the last glacial maximum. Mol. Phylogenet. Evol. 65, 892–902 (2012).
Google Scholar
Raposo do Amaral, F. et al. Rugged relief and climate promote isolation and divergence between two neotropical cold-associated birds. Evolution 75, 2371–2387 (2021).
Google Scholar
Dunbar, M. B. & Brigham, R. M. Thermoregulatory variation among populations of bats along a latitudinal gradient. J. Comp. Physiol. B 180, 885–893 (2010).
Google Scholar
Gaitán-Espitia, J. D. et al. Geographic variation in thermal physiological performance of the intertidal crab Petrolisthes violaceus along a latitudinal gradient. J. Exp. Biol. 217, 4379–4386 (2014).
Google Scholar
Molina-Montenegro, M. A. & Naya, D. E. Latitudinal patterns in phenotypic plasticity and fitness-related traits: assessing the climatic variability hypothesis (CVH) with an invasive plant species. PLoS ONE 7, e47620 (2012).
Google Scholar
Louthan, A. M., Doak, D. F. & Angert, A. L. Where and when do species interactions set range limits? Trends Ecol. Evol. 30, 780–792 (2015).
Google Scholar
Macedo, G., Silva, M., do Amaral, F. R. & Maldonado-Coelho, M. Symmetrical discrimination despite weak song differentiation in 2 suboscine bird sister species. Behav. Ecol. 30, 1205–1215 (2019).
Google Scholar
Dhondt, A. A. Interspecific Competition in Birds (OUP, 2012).
Freeman, B. G. Competitive interactions upon secondary contact drive elevational divergence in tropical birds. Am. Nat. 186, 470–479 (2015).
Google Scholar
Zuloaga, J. & Kerr, J. T. Over the top: do thermal barriers along elevation gradients limit biotic similarity? Ecography 40, 478–486 (2017).
Google Scholar
Botero, C. A., Dor, R., McCain, C. M. & Safran, R. J. Environmental harshness is positively correlated with intraspecific divergence in mammals and birds. Mol. Ecol. 23, 259–268 (2014).
Google Scholar
Rabosky, D. L. et al. An inverse latitudinal gradient in speciation rate for marine fishes. Nature 559, 392–395 (2018).
Google Scholar
Harvey, M. G. et al. The evolution of a tropical biodiversity hotspot. Science 370, 1343–1348 (2020).
Google Scholar
Thom, G. et al. Climatic dynamics and topography control genetic variation in Atlantic Forest montane birds. Mol. Phylogenet. Evol. 148, 106812 (2020).
Google Scholar
Rabosky, D. L. & Glor, R. E. Equilibrium speciation dynamics in a model adaptive radiation of island lizards. Proc. Natl Acad. Sci. USA 107, 22178–22183 (2010).
Google Scholar
Weir, J. T. & Price, T. D. Limits to speciation inferred from times to secondary sympatry and ages of hybridizing species along a latitudinal gradient. Am. Nat. 177, 462–469 (2011).
Google Scholar
Harvey, M. G. et al. Positive association between population genetic differentiation and speciation rates in New World birds. Proc. Natl Acad. Sci. USA 114, 6328–6333 (2017).
Google Scholar
Eaton, D. A. R. & Overcast, I. ipyrad: interactive assembly and analysis of RADseq datasets. Bioinformatics 36, 2592–2594 (2016).
Harvey, M. G., Smith, B. T., Glenn, T. C., Faircloth, B. C. & Brumfield, R. T. Sequence capture versus restriction site associated DNA sequencing for shallow systematics. Syst. Biol. 65, 910–924 (2016).
Google Scholar
Cumer, T. et al. Double-digest RAD-sequencing: do pre- and post-sequencing protocol parameters impact biological results? Mol. Genet. Genomics 296, 457–471 (2021).
Google Scholar
Nei, M. Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89, 583–590 (1978).
Google Scholar
Jombart, T. & Ahmed, I. adegenet 1.3–1: new tools for the analysis of genome-wide SNP data. Bioinformatics 27, 3070–3071 (2011).
Google Scholar
Gehara, M. et al. Estimating synchronous demographic changes across populations using hABC and its application for a herpetological community from northeastern Brazil. Mol. Ecol. 26, 4756–4771 (2017).
Google Scholar
Karger, D. N. et al. Climatologies at high resolution for the earth’s land surface areas. Sci. Data 4, 170122 (2017).
Google Scholar
Phillips, S. J. & Dudík, M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31, 161–175 (2008).
Google Scholar
Blonder, B., Lamanna, C., Violle, C. & Enquist, B. J. The n-dimensional hypervolume. Glob. Ecol. Biogeogr. 23, 595–609 (2014).
Google Scholar
Bates, D., Mächler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects models using lme4. J. Stat. Soft. 67, 1–48 (2015).
Clarke, R. T., Rothery, P. & Raybould, A. F. Confidence limits for regression relationships between distance matrices: estimating gene flow with distance. J. Agric. Biol. Environ. Stat. 7, 361 (2002).
Google Scholar
Pavlidis, P., Laurent, S. & Stephan, W. msABC: a modification of Hudson’s ms to facilitate multi-locus ABC analysis. Mol. Ecol. Resour. 10, 723–727 (2010).
Google Scholar
Csilléry, K., François, O. & Blum, M. G. B. abc: an R package for approximate Bayesian computation (ABC). Methods Ecol. Evol. 3, 475–479 (2012).
Google Scholar
Orme, D. et al. The caper package: comparative analysis of phylogenetics and evolution in R. R. Package Version 5, 1–36 (2013).
Jetz, W., Thomas, G. H., Joy, J. B., Hartmann, K. & Mooers, A. O. The global diversity of birds in space and time. Nature 491, 444–448 (2012).
Google Scholar
Drummond, A. J., Suchard, M. A., Xie, D. & Rambaut, A. Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol. Biol. Evol. 29, 1969–1973 (2012).
Google Scholar
Blomberg, S. P., Garland, T. Jr & Ives, A. R. Testing for phylogenetic signal in comparative data: behavioral traits are more labile. Evolution 57, 717–745 (2003).
Google Scholar
Pavoine, S. adiv: An r package to analyse biodiversity in ecology. Methods Ecol. Evol. https://doi.org/10.1111/2041-210X.13430 (2020).
Google Scholar
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