Библиография

1. 1. Авраменко П.М., Акулов П.Г., Атанов Ю.Г. Природные ресурсы и окружающая среда Белгородской области. Белгород: Белгород, 2007. 556 с.
2. 2. Григорьев Г.Н. География Белгородской области. Белгород: Изд-во БелГУ, 1996. 144 с.
3. 3. Докучаев В.В. Русский чернозем. СПб.: Типография Деклерона и Евдокимова, 1883. 376 с.
4. 4. Иванова Е.А., Кутовая О.В., Тхакахова А.К., Чернов Т.И., Першина Е.В., Маркина Л.Г., Андронов Е.Е., Когут Б.М. Структура микробного сообщества агрегатов чернозема типичного в условиях контрастных вариантов сельскохозяйственного использования // Почвоведение. 2015. № 11. С. 1367–1382. https://doi.org/10.7868/ S 0032180 X 15110088
5. 5. Чевердин Ю.И., Зборищук Ю.Н. Закономерности изменения показателей кислотности черноземов Каменной Степи // Вестник Моск. ун-та. Сер. 17, почвоведение. 2009. № 4. С. 22–25.
6. 6. Чернов Т.И., Тхакахова А.К., Иванова Е.А., Кутовая О.В., Турусов В.И. Сезонная динамика почвенного микробиома многолетнего агрохимического опыта на черноземах Каменной Степи // Почвоведение. 2015. № 12. С. 1483–1488. https://doi.org/10.7868/S0032180X15120059
7. 7. Anderson M.J. Permutational Multivariate Analysis of Variance (PERMANOVA) // Wiley StatsRef: Statistics Reference Online. Wiley, 2017. P. 1–15. https://doi.org/10.1002/9781118445112.stat07841
8. 8. Bennett L.T., Kasel S., Tibbits J. Non-parametric multivariate comparisons of soil fungal composition: Sensitivity to thresholds and indications of structural redundancy in T-RFLP data // Soil Biol. Biochem. 2008. V. 40(7). P. 1601–1611. https://doi.org/10.1016/j.soilbio.2008.01.008
9. 9. Boyarshin K.S., Adamova V.V., Zheng W., Obuhova O.Y., Kolkova M.V., Nesterenko V.A., Bespalova O.S., et al. The effect of long-term agricultural use on the bacterial microbiota of chernozems of the forest-steppe zone // Diversity. 2023. V. 15(2). P. 191. https://doi.org/10.3390/d15020191
10. 10. Caporaso J.G., Kuczynski J., Stombaugh J., Bittinger K., Bushman F.D., Costello E.K., Fierer N., et al. QIIME allows analysis of high-throughput community sequencing data // Nat. Methods. 2010. V. 7. P. 335–336. https://doi.org/10.1038/nmeth.f.303
11. 11. Chibilyov A.A. Ecology-geographical essay about steppes of northern Eurasia // Вопросы степеведения. 2000. № 2. P. 12–29.
12. 12. Coelho C., Mesquita N., Costa I., Soares F., Trovão J., Freitas H., Portugal A., Tiago I. Bacterial and archaeal structural diversity in several biodeterioration patterns on the limestone walls of the old cathedral of Coimbra // Microorganisms. 2021. V. 9(4). P. 709. https://doi.org/10.3390/microorganisms9040709
13. 13. Dedov A.V., Boluchevsky D.A. Influence of biological techniques for restoring soil fertility and methods of soil treatment on the fertility of typical chernozem and yield of winter wheat // Bull. Agric. Sci. 2014. V. 46(1). P. 38–41.
14. 14. Dixon P. VEGAN, a package of R functions for community ecology // J. Veg. Sci. 2003. V. 14(6). P. 927–930. https://doi.org/10.1111/j.1654-1103.2003.tb02228.x
15. 15. Ferreira A., Nobre M., Moore E., Rainey F.A., Battista J.R., da Costa M.S. Characterization and radiation resistance of new isolates of Rubrobacter radiotolerans and Rubrobacter xylanophilus // Extremophiles. 1999. V. 3. P. 235–238. https://doi.org/10.1007/s007920050121
16. 16. Fujita H., Ushio M., Suzuki K., Abe M.S., Yamamichi M., Okazaki Y., Canarini A., Hayashi I., Fukushima K., Fukuda Sh., Kiers E.T., Toju H. Metagenomic analysis of ecological niche overlap and community collapse in microbiome dynamics // bioRxiv.2023. P. 524457. https://doi.org/10.1101/2023.01.17.524457
17. 17. Glaeser S., Kämpfer P. The family Sphingomonadaceae // The Prokaryotes: Alphaproteobacteria and Betaproteobacteria. Springer, 2013. P. 641–707. https://doi.org/10.1007/978-3-642-30197-1_302
18. 18. Gorbacheva M.A., Melnikova N.V., Chechetkin V.R., Kravatsky Yu.V., Tchurikov N.A. DNA sequencing and metagenomics of cultivated and uncultivated chernozems in Russia // Geoderma Reg. 2018. V. 14. P. e00180. https://doi.org/10.1016/j.geodrs.2018.e00180
19. 19. Goryanin O., Chichkin A., Dzhangabaev B., Shcherbinina E. Scientific bases of the humus stabilization in ordinary chernozem in Russia // Geogr. Environ. Sustain. 2019. V. 52(1). P. 113–128. https://doi.org/10.17951/pjss.2019.52.1.113
20. 20. Hester E.R., Jetten M.S.M., Welte C.U., Lücker S. Metabolic overlap in environmentally diverse microbial communities // Front. Genet. 2019. V. 10. P. 989. https://doi.org/10.3389/fgene.2019.0098
21. 21. Kool J., Tymchenko L., Shetty S.A., Fuentes S. Reducing bias in microbiome research: Comparing methods from sample collection to sequencing // Front. Microbiol. 2023. V. 14. P. 1094800. https://doi.org/10.3389/fmicb.2023.1094800
22. 22. Kosako Y., Yabuuchi E., Naka T., Fujiwara N., Kobayashi K. Proposal of Sphingomonadaceae fam. nov., consisting of Sphingomonas Yabuuchi et al. 1990, Erythrobacter Shiba and Shimidu 1982, Erythromicrobium Yurkov et al. 1994, Porphyrobacter Fuerst et al. 1993, Zymomonas Kluyver and van Niel 1936, and Sandaracinobacter Yurkov et al. 1997, with the type genus Sphingomonas Yabuuchi et al. 1990 // Microbiol. Immunol. 2000. V. 44(7). P. 563 – 575. https://doi.org/ 10.1111/j.1348-0421.2000.tb02535.x
23. 23. Kruskal W.H., Wallis W.A. Use of Ranks in One-Criterion Variance Analysis // J. Am. Stat. Assoc. 1952. V. 47(260). P. 583–621. https://doi.org/10.2307/2280779
24. 24. Liu X., Burras C.L., Kravchenko Y.S., Duran A., Huffman T., Morrás H.J., Studdert G.A., Zhang X., Cruse R.M., Yuan X. Overview of Mollisols in the world: Distribution, land use and management // Can. J. Soil Sci. 2012. V. 92(3). P. 383–402. https://doi.org/10.1139/CJSS2010-058
25. 25. Mikhailova E.A., Post Ch. Organic carbon stocks in the Russian Chernozem // Eur. J. Soil Sci. 2005. V. 57(3). P. 330–336. https://doi.org/10.1111/j.1365-2389.2005.00741.x
26. 26. Oren A. The family Xanthobacteraceae // The Prokaryotes. Springer, 2014. P. 709–726. https://doi.org/10.1007/978-3-642-30197-1_258
27. 27. Quast C., Pruesse E., Yilmaz P., Gerken J., Schweer T., Yarza P., Peplies J., Glöckner F.O. The SILVA ribosomal RNA gene database project: Improved data processing and web-based tools // Nucleic Acids Res. 2013. V. 41. P. D590–D596. https://doi.org/ 10.1093/ nar / gks 1219
28. 28. Ricotta C., Szeidl L., Pavoine S. Towards a unifying framework for diversity and dissimilarity coefficients // Ecol. Indic. 2021. V. 129. P. 107971. https://doi.org/10.1016/j.ecolind.2021.107971.
29. 29. Roger B.J., Curtis J.T. An Ordination of the Upland Forest Communities of Southern Wisconsin // Ecol. Monogr. 1957. V. 27(4). P. 325–349. https://doi.org/10.2307/1942268
30. 30. Rosenberg E. The family Chitinophagaceae // The Prokaryotes. Springer, 2014. P. 493–495. https://doi.org/ 10.1007/978-3-642-38954-2_137
31. 31. Sangwan P., Chen X., Hugenholtz P., Janssen P.H. Chthoniobacter flavus gen. nov., sp. nov., the first pure-culture representative of subdivision two, Spartobacteria classis nov. of the phylum Verrucomicrobia // Appl. Environ. Microbiol. 2004. V. 70(10). P. 5875 – 5881. h ttps://doi.org/10.1128/AEM.70.10.5875-5881.2004
32. 32. Schoch C.L., Ciufo S., Domrachev M., Hotton C.L., Kannan S., Khovanskaya R., Leipe D., et al. NCBI Taxonomy: a comprehensive update on curation, resources and tools // Database (Oxford). 2020. P. baaa062. https://doi.org/10.1093/database/baaa062
33. 33. Semenov M.V., Chernov T.I., Tkhakakhova A.K., Zhelezova A.D., Ivanova E.A., Kolganova T.V., Kutovaya O.V. Distribution of prokaryotic communities throughout the Chernozem profiles under different land uses for over a century // Appl. Soil Ecol. 2018. V. 127. P. 8–18. https://doi.org/10.1016/j.apsoil.2018.03.002
34. 34. Silverman J.D., Bloom R.J., Jiang S., Durand H.K., Dallow E., Mukherjee S., David L.A. Measuring and mitigating PCR bias in microbiota datasets // PLoS Comput. Biol. 2021. V. 17(7). P. e1009113. https://doi.org/10.1371/journal.pcbi.1009113
35. 35. Six J., Feller Ch., Denef K., Ogle S., Carlos de Moraes Sa J., Albrecht A. Soil organic matter, biota and aggregation in temperate and tropical soils – Effects of no-tillage // Agronomie. 2002. V. 22(7–8). P. 755–775. https://doi.org/10.1051/agro:2002043
36. 36. Stanek-Tarkowska J., Pastuszczak M., Szpunar-Krok E., Kacaniova M., Kluz M., Czyż E., Pieniążek R., Skrobacz K., Pietrzyk K. Comparison of the effect of fertilization with ash from wood chips on bacterial community in podzolic and chernozem soils for the cultivation of winter oilseed rape: a preliminary study // Agronomy. 2022. V. 12(3). P. 576. https://doi.org/10.3390/agronomy12030576
37. 37. Stekolnikov K.E., Gasanova E.S., Stekolnikova N.V. Agrogenic transformation (degradation) of chernozems of the Central Chernozem Region // BIO Web Conf. 2021. V. 36. P. 03021. https://doi.org/10.1051/bioconf/20213603021
38. 38. Suzuki K., Collins M.D., Iijima E., Komagata K. Chemotaxonomic characterization of a radiotolerant bacterium, Arthrobacter radiotolerans: Description of Rubrobacter radiotolerans gen. nov., comb. nov. // FEMS Microbiol. Lett. 1988. V. 52(1 – 2). P. 33–39. https://doi.org/10.1111/j.1574-6968.1988.tb02568.x
39. 39. Szalay A. Cation exchange properties of humic acids and their importance in the geochemical enrichment of UO 2 ++ and other cations // Geochim. Cosmochim. Acta. 1964. V. 28(10–11). P. 1605–1614. https://doi.org/10.1016/0016-7037 (64)90009-2
40. 40. Trofimov I.A., Trofimova L.S., Yakovleva E.P., Emelyanov A.V., Skripnikova E.V. Preserving the fertility of Russian chernozems. Status, trends, forecast // IOP Conf. Ser.: Earth Environ. Sci. 2021. V. 817. P. 012108. https://doi.org/10.1088/1755-1315/817/1/012108
41. 41. Van D.H. Cation binding of humic acids // Geoderma. 1971. V. 5(1). P. 53–67. https://doi.org/10.1016/0016-7061 (71)90024-3
42. 42. Vysloužilová B., Ertlen D., Schwartz D., Šefrna L. Chernozem. From concept to classification: A review // Acta Univ. Carol. Geogr. 2016. V. 51(1). P. 85–95. https://doi.org/10.14712/23361980.2016.8
43. 43. Weaver B., Wuensch K.L. SPSS and SAS Programs for Comparing Pearson Correlations and OLS Regression Coefficients // Behav. Res. Methods. 2013. V. 45(3). P. 880–895. https://doi.org/10.3758/s13428-012-0289-7
44. 44. Wilcoxon F. Individual comparisons by ranking methods // Biomathem. Bull. 1945. V. 1(6). P. 80–83. https://doi.org/10.2307/3001968
45. 45. Zhang H., Sekiguchi Y., Hanada S., Hugenholtz P., Kim H., Kamagata Y., Nakamura K. Gemmatimonas aurantiaca gen. nov., sp. nov., a gram-negative, aerobic, polyphosphate-accumulating micro-organism, the first cultured representative of the new bacterial phylum Gemmatimonadetes phyl. nov. / / Int. J. Syst. Evol. Microbiol. 2003. V. 53. P. 1155–1163. https://doi.org/10.1099/ijs.0.02520-0