1. Avise J. C. Phylogeography: The History and Formation of Species. Cambridge, Harvard University Press, 2000. 447 p.
2. Gutierrez-Garda T. A., Vazquez-Domrnguez E. Comparative phylogeography: designing studies while surviving the process. BioScience, 2011, vol. 61, no. 11, pp. 857-868. https://doi.org/10.1525/bio.2011.61.11.5
3. Common Snipe Gallinago gallinago. Available at: http://datazone.birdlife.org/species/factsheet/common-snipe-galli-nago-gallinago (accessed 01.12.2020).
4. Van Gils J., Wiersma P., Kirwan G. M., Sharpe C. J. Common Snipe (Gallinago gallinago). Birds of the World, 2020. https://doi.org/10.2173/bow.comsni.01
5. Ronka N. Phylogeography and conservation genetics of waders. Oulu, Acta Universitatis Ouluensis, 2016. 90 p.
6. Miller M. P., Haig S. M., Mullins T. D., Ruan L., Casler B., Dondua A. [et al.]. Intercontinental genetic structure and gene flow in Dunlin (Calidris alpina), a potential vector of avian influenza. Evolutionary Applications, 2015, vol. 8, no. 2, pp. 149-171. https://doi.org/10.1111/eva.12239
7. Wenink P. W., Baker A. J., Tilanus M. G. J. Hypervariable-control-region sequences reveal global population structuring in a long-distance migrant shorebird, the Dunlin (Calidris alpina). Proceedings of the National Academy of Sciences, 1993, vol. 90, no. 1, pp. 94-98. https://doi.org/10.1073/pnas.90.1.94
8. Conklin J. R., Reneerkens J., Verkuil Y. I., Tomkovich P. S., Palsb0ll P J., Piersma T. Low genetic differentiation between Greenlandic and Siberian Sanderling populations implies a different phylogeographic history than found in Red Knots. Journal of Ornithology, 2016, vol. 157, no. 1, pp. 325-332. https://doi.org/10.1007/s10336-015-1284-4
9. Quinn T. W., Wilson A. C. Sequence evolution in and around the mitochondrial control region in birds. Journal of Molecular Evolution, 1993, vol. 37, no. 4, pp. 417-425. https://doi.org/10.1007/BF00178871
10. Tamura K., Stecher G., Peterson D., Filipski A. S. MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Molecular Biology and Evolution, 2013, vol. 30, no. 12, pp. 2725-2729. https://doi.org/10.1093/molbev/mst197
11. Rozas J., Ferrer-Mata A., Sanchez-DelBarrio J. C., Guirao-Rico S., Librado P., Ramos-Onsins S. E, Sanchez-Gracia A. DnaSP 6: DNA Sequence Polymorphism Analysis of Large Datasets. Molecular Biology and Evolution, 2017, vol. 34, no. 12, pp. 3299-3302. https://doi.org/10.1093/molbev/msx248
12. PopART (Population Analysis with Reticulate Trees). Available at: http://popart.otago.ac.nz/index.shtml (accessed 01.12.2020).
13. Excoffier L., Laval G., Schneider S. Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evolutionary Bioinformatics Online, 2007, vol. 1, pp. 47-50. https://doi.org/10.1177/117693430500100003
14. Ramos-Onsins S. E., Rozas J. Statistical properties of new neutrality tests against population growth. Molecular Biology and Evolution, 2002, vol. 19, no. 12, pp. 2092-2100. https://doi.org/10.1093/oxfordjournals.molbev.a004034
15. Rogers A. R., Harpending H. Population growth makes waves in the distribution of pairwise genetic differences. Molecular Biology and Evolution, 1992, vol. 9, no. 3, pp. 552-569. https://doi.org/10.1093/oxfordjournals.molbev.a040727
16. Maltagliati F., Giuseppe G. Di., Barbieri M., Castelli A., Dini F. Phylogeography and genetic structure of the edible sea urchin Paracentrotus lividus (Echinodermata: Echinoidea) inferred from the mitochondrial cytochrome b gene. Biological Journal of the Linnean Society, 2010, vol. 100, no. 4, pp. 910-923. https://doi.org/10.1111/j.1095-8312.2010.01482.x
17. Nikiforov M. E. Formation and structure of the avifauna of Belarus. Minsk, Belorusskaya nauka Publ., 2008. 297 p.