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The ecological profile of Donbass bibliographic landscape. Part 2

https://doi.org/10.33186/1027-3689-2026-3-67-94

Abstract

In the paper Part 2, the authors introduce the findings of the analysis of ecological bibliography landscape in Donetsk People’s Republic (Donetsk Region before 2014). The data for 2000–2024 were processed for the study. The paper goal is to generalize the bibliographic data pool through the statistical approach of comprehensive correlation of the publications with several subject headings. The method has proved its effectiveness as the content of a single published information source enables to solve several ecological tasks at once or to explore into several problems in a verified publication. For the first time, through the correlation analysis and principal component analysis, the distribution of the number of publications across the subject headings for the 25-year period was explored. The thermal map of heading profiles pairwise correlation and hierarchical clustering dendrogram, empirical distribution histograms and smoothed distribution density plots for item value (number of publications under one heading by year) were obtained. These representations demonstrate significant characteristics of individual subject headings and time periods within the given data sets, which, in its turn, enables to suggest hypotheses on consistency in the character of ecological publications  for the period under examination. The key suggestion is that the subject scope  of the studies and corresponding publications in ecology of certain periods reflects the social demands to researchers in various areas engaged in diagnostics, quantifications, modeling, monitoring, control and discussion of significant ecological problems of Donbass. The quantitative data (further analysis and study of their content) on publications on the industrial region’s ecology are used as didactical support  of learning within the academic program “Ecology and nature management”. 

About the Authors

Andrey I. Safonov
Donetsk State University
Russian Federation

Andrey I. Safonov Andrey I. SafonovCand. Sc. (Biology), Associate Professor, Botany and Ecology Department,

Donetsk.



Vitaly N. Nespirny
Institute of Economic Studies; Donetsk State University
Russian Federation

Vitaly N. Nespirny – Cand. Sc. (Physics & Mathematics), Ph. D., Senior Researcher, Head, Department of Information Technologies; Senior Researcher, Azovo-Chernomorskiy Mathematical Center, 

Donetsk.



References

1. Bukalov A. V. O nachale novogo e`tapa biologicheskoi` e`voliutcii cheloveka kak vida Homo sapiens sapiens // Sotcionika, mentologiia i psihologiia lichnosti. 2000. № 4. S. 70–71. EDN WJIOGF.

2. Spitcy`n V. A., Spitcy`na N. KH. Problema khronologicheskoi` periodizatcii v e`voliutcii Homo sapiens sapiens i kontceptciia kompleksny`kh issledovanii` v genetike cheloveka // Vestneyk Moskovskogo universiteta. Seriia 23: Antropologiia. 2016. № 2. S. 98–114. EDN WXFDDD.

3. Gao Ya., Liu S., Yang Lu. Artificial intelligence and innovation capability: A dynamic capabilities perspective // International Review of Economics & Finance. 2025. Vol. 98. P. 103923. DOI: 10.1016/j.iref.2025.103923. EDN OEUCPZ.

4. Shmarkova L. I., Kiseleva N. A., Plotko I. S. Orientiry` i problemy` vnedreniia innovatcionny`kh razrabotok na osnove tekhnologii` iskusstvennogo intellekta // E`konomicheskaia sreda. 2025. T. 14, № 1. S. 24–35. DOI: 10.22394/ee251.24-35. EDN AKNVMZ.

5. Harnessing Artificial Intelligence for Enhanced Environmental Sustainability in China's Banking Sector: A Mixed-Methods Approach / Siddik A. B., Yong Li., Du A. M. еt al. // British Journal of Management. 2025. DOI: 10.1111/1467-8551.12901. EDN SOLTWN.

6. Bartelt C., Röser A. M. Artificial intelligence as a catalyst for sustainable business innovation: Perspectives from finance and marketing // Gazdaság és Társadalom. 2024. Vol. 17, No. 2. P. 37–65. DOI: 10.21637/gt.2024.2.02. EDN POTGBL.

7. Cly`chova G. S., Fassahov B. I. Primenenie tekhnologii` iskusstvennogo intellekta i analiza bol`shikh danny`kh v agropromy`shlennom komplekse // E`konomicheskii` analiz: teoriia i praktika. 2025. T. 24, № 7. S. 57–70. DOI: 10.24891/sbltzs. EDN SBLTZS.

8. Pramanik P., Jana R. K. A consumer acceptance model in the artificial intelligence era // Management Decision. 2025. DOI: 10.1108/md-03-2024-0574. EDN YMGBOS.

9. Anayat Sh., Rasool G. Artificial intelligence marketing (AIM): connecting-the-dots using bibliometrics // Journal of Marketing Theory & Practice. 2024. Vol. 32, No. 1. P. 114–135. DOI: 10.1080/10696679.2022.2103435. EDN VCEHQD.

10. Kumar S., Srivastava M., Sivaramakrishnan S. Getting the scoop on native advertising – a bibliometric and TCCM-based review // Marketing Intelligence & Planning. 2025. DOI: 10.1108/mip-04-2024-0291. EDN NJOOFD.

11. Fehrmann R. Implementing Augmented Reality Models in the Classroom Environment Using Merge Cubes: A Quantitative Study of the Effects on Students’ Cognitive Load and Motivation // Education Sciences. 2025. Vol. 15, No. 4. P. 414. DOI: 10.3390/educsci15040414. EDN VKEDGE.

12. Lampropoulos G. Intelligent Virtual Reality and Augmented Reality Technologies: An Overview // Future Internet. 2025. Vol. 17, No. 2. P. 58. DOI: 10.3390/fi17020058. EDN GPCOLN.

13. Kozlov A. I. Kontceptciia adaptivny`kh tipov v sovremenny`kh issledovaniiakh e`kologii cheloveka // Vestneyk Moskovskogo universiteta. Seriia 23: Antropologiia. 2024. № 4. S. 81–89. DOI: 10.55959/MSU2074-8132-24-4-5. EDN JKPICM.

14. Goncharova K. S., Zagornaia T. O., Kolomy`tceva A. O. Modelirovanie scenariev adaptatcii regional`ny`kh sotcioe`kologo-e`konomicheskikh sistem k global`ny`m izmeneniiam climata // Journal of Applied Economic Research. 2023. T. 22, № 4. S. 1006–1033. DOI: 10.15826/vestnik.2023.22.4.039. EDN ATFYHX.

15. Taxus baccata L. under changing climate conditions in the steppe zone of the East European Plain / Kornienko V., Shkirenko A., Reuckaya V. et al. // Plants. 2025. Vol. 14, No. 13. DOI: 10.3390/plants14131970. EDN UTZUUC.

16. Assessment of surface water quality in the Krynka river basin using fluorescence spectroscopy methods / Chufitskiy S., Romanchuk S., Meskhi B. et al. // Plants. 2025. Vol. 4, No. 13. DOI: 10.3390/plants14132014. EDN RNRTRH.

17. Safonov A. I. A review of phytological assessment of anthropogenic ecotopes in Donbass: a review // Theoretical and Applied Ecology. 2025. No. 2. P. 16–29. DOI: 10.25750/1995-43012025-2-016-029. EDN YOFKTG.

18. Safonov A. Assessing landscape disturbance in Donbass using phytomonitoring data // BIO Web Conf. AEEA2024. 2024. Vol. 126. P. 1031. DOI: 10.1051/bioconf/202412601031. EDN VVPFDR.

19. Safonov A. I. E`kologicheskii` fitomonitoring antropogenny`kh transformatcii`. Donetck : Izdatel`skii` dom «E`DIT», 2024. 289 s. ISBN 978-5-605-24266-6. EDN QVJSQE.

20. Alemasova A. S., Safonov A. I. Tiazhely`e metally` v fitosubstratakh – indikatory` antropogennogo zagriazneniia vozduha v promy`shlennom regione // Lesnoi` vestneyk. Forestry Bulletin. 2022. T. 26, № 6. S. 5–13. DOI: 10.18698/2542-1468-2022-6-5-13. EDN XRXDNV.

21. Mirnenko E. Ecological monitoring of water bodies : Bioindication, microalgae biodiversity indices // E3S Web of Conferences. 2024. Vol. 555. P. 02008. DOI: 10.1051/e3sconf/202455502008. EDN ECGECV.

22. Phytomonitoring in Donbass for identifying new geochemical anomalies / Zinicovscaia I. I., Safonov A. I., Yushin N. S. et al. // Russian Journal of General Chemistry. 2024. Vol. 94, No. 13. P. 3472–3482. DOI: 10.1134/S1070363224130048. EDN QXJUMP.

23. Using moss Ceratodon purpureus (Hedw.) Brid for assessing the technogenic pollution (Ni, Zn, Mn, Al, Se, Cs, La, and Sm) of transformed ecotopes of Donbass / Zinicovscaia I. I., Vergel K. N., Safonov A. I. // Ecosystem Transformation. Vol. 6, No. 3. P. 22–38. DOI: 10.23859/estr-220726. EDN GHVAZY.

24. Vliianie novy`kh antropogenny`kh faktorov na sostoianie drevesny`kh rastenii` goroda Donetcka / Kornienko V. O., Kishkan` R. V., Iaitckii` A. S., Shkirenko A. O. // Samarskii` nauchny`i` vestneyk. 2024. T. 13, № 4. S. 26–32. DOI: 10.55355/snv2024134104. EDN BXIKNX.

25. Silvicultural and ecological characteristics of Populus bolleana Lauche as a key introduced species in the urban dendroflora of industrial cities / Kornienko V., Reuckaya V., Shkirenko A. // Plants. 2025. Vol. 14, No. 13. DOI: 10.3390/plants14132052. EDN DRDBQF.

26. Kharchenko N. N., Kalaev V. N., Kornienko V. O. Mechanical resistance of Quercus robur L. at the environmental boundary of the species distribution in the steppe // IOP Conference Series: Earth and Environmental Science, 2021. P. 12049. DOI: 10.1088/17551315/875/1/012049. EDN HNQTEI.

27. Kornienko V. O. Retrospektivny`i` analiz antropogennogo zagriazneniia goroda Donetcka. Vibratcionno-akusticheskoe zashumlenie // Vestneyk Donetckogo natcional`nogo universiteta. Seriia A: Estestvenny`e nauki. 2024. № 1. S. 93–100. DOI: 10.5281/zenodo.12532574. EDN TSWEOI.

28. Nespirnyi V., Safonov A. The importance of principal component analysis for environmental biodiagnostics of Donbass // E3S Web of Conferences. 2024. Vol. 555. P. 01007. DOI: 10.1051/e3sconf/202455501007. EDN EQEGDI.

29. Avraimova T. V., Safonov A. I. E`kologicheskie razrabotki v Donbasse: bibliograficheskii` uchet i populiarizatciia nauchny`kh issledovanii` // Nauchny`e i tekhnicheskie biblioteki. 2023. № 3. S. 30–42. DOI: 10.33186/1027-3689-2023-3-30-42. EDN BLUFHQ.

30. Safonov A. Indicator plants of anthropogenic disturbances: Scientific approach, educational technologies // E3S Web of Conferences. ITSE-2023. 2023. P. 01031. DOI: 10.1051/e3sconf/202343101031. EDN LSLNVJ.

31. Safonov A. Changes in plant CSR strategies under new anthropogenic transformations // E3S Web of Conferences. 2025. Vol. 614. P. 04022. DOI: 10.1051/e3sconf/202561404022. EDN SCXINB.

32. Gus`kov A. E., Shrai`berg Ia. L. Vy`zovy` dlia razvitiia naukometricheskikh issledovanii` // Nauchny`e i tekhnicheskie biblioteki. 2023. № 2. S. 37–58. DOI: 10.33186/1027-3689-20232-37-58. EDN ORAHZR.

33. By`chkova E. F., Climova M. A. Zeleny`e biblioteki v e`lektronnom prostranstve: kontceptualizatciia poniatii` i napravleniia issledovanii`. (Chast` 2. Praktika) // Nauchny`e i tekhnicheskie biblioteki. 2025. № 1. S. 79–97. DOI: 10.33186/1027-3689-2025-1-79-97. EDN PDUNNL.

34. Naukometricheskii` analiz nauchnogo sotrudnichestva v regionakh Sibirskogo federal`nogo okruga / Gus`kov A. E., Ermakov A. A., Maly`sheva A. V., Selivanova I. V. // Nauchny`e i tekhnicheskie biblioteki. 2025. № 3. S. 83–110. DOI: 10.33186/1027-3689-2025-3-83-110. EDN PHDMIS.

35. Morphogenetic abnormalities of bryobionts in geochemically contrasting conditions of Donbass / Safonov A. I., Alemasova A. S., Zinicovscaia I. I. et al. // Geochemistry International. 2023. Vol. 61, No. 10. P. 1036–1047. DOI: 10.1134/s0016702923100117. EDN FICFYS.

36. Neutron activation analysis of rare earth elements (Sc, La, Ce, Nd, Sm, Eu, Tb, Dy, Yb) in the diagnosis of ecosystems of Donbass / Zinicovscaia I., Safonov A., Kravtsova A. et al. // Physics of Particles and Nuclei Letters. 2024. Vol. 21, No. 2. P. 186–200. DOI: 10.1134/S1547477124020158. EDN XTYWUI.

37. Mirnenko E. I. Content composition and dynamics of photosynthetic pigments in the reservoirs of the Kalmius River of the Donetsk People's Republic // Moscow University Biological Sciences Bulletin. 2024. Vol. 79, No. 4. P. 267–273. DOI: 10.3103/S009639252560022X. EDN WWYSHX.

38. Eprintcev S. A., Shekoian S. V. Geoinformatcionny`i` analiz kachestva okruzhaiushchei` sredy` gorodskikh territorii` Central`noi` Rossii // Nauka Iuga Rossii. 2025. T. 21, № 2. S. 47–56. DOI: 10.7868/S25000640250208. EDN PIGZHB.

39. Monitoring atmosfernogo vozduha v rai`one predpriiatii` po utilizatcii opasny`kh promy`shlenny`kh othodov / Ashikhmina T. Ia., Kantor G. Ia., Timonov A. S. i dr. // Teoreticheskaia i pricladnaia e`kologiia. 2023. № 1. S. 38–46. DOI: 10.25750/1995-43012023-1-038-046. EDN KZUNTF.

40. Remote monitoring of factors determining the environmental safety of urban areas / Yeprintsev S., Kurolap S., Klepikov O., Vinogradov P. // E3S Web of Conferences. Vol. 389. EDP Sciences, 2023. P. 03030. DOI: 10.1051/e3sconf/202338903030. EDN WPFKSG.

41. Bioremediatciia tekhnogenno degradirovanny`kh zemel` posle zaversheniia spetcial`noi` voennoi` operatcii na territorii novy`kh sub``ektov Rossii`skoi` Federatcii / Ashikhmina T. Ia., Domracheva L. I., Pogorel`skii` I. P. // Teoreticheskaia i pricladnaia e`kologiia. 2023. № 2. S. 209–217. DOI: 10.25750/1995-4301-2023-2-209-217. EDN HABFSM.

42. Eprintcev S. A., Shekoian S. V., Vinogradov P. M. Ocenka neblagopriiatny`kh faktorov okruzhaiushchei` sredy` urbanizirovanny`kh territorii` Central`noi` Rossii // Regional`ny`e geosistemy`. 2025. T. 49, № 1. S. 157–168. DOI: 10.52575/2712-7443-2025-49-1-157-168. EDN PZMABQ.

43. Guo S., Zhang J., Halabi S. Joint Modelling of Longitudinal Measurements and Time-toEvent Outcomes With a Cure Fraction Using Functional Principal Component Analysis // Statistics in Medicine. 2024. Vol. 43, No. 30. P. 6059–6072. DOI: 10.1002/sim.10289. EDN YKONUC.

44. Longitudinal Viral Load Clustering for People With HIV Using Functional Principal Component Analysis / Ma Yu., Yang X., Xiao J. // AIDS Research and Treatment. 2025. Vol. 2025, No. 1. P. 10.1155/arat/5890464. DOI: 10.1155/arat/5890464. EDN LAKAOQ.

45. Thomson T.J., Joan Hu X., Nosyk B. Evaluating effects of various exposures on mortality risk of opioid use disorders with linked administrative databases // Statistics in Biosciences. 2023. DOI: 10.1007/s12561-023-09407-4. EDN MQNVEQ.

46. Estimation and model misspecification for recurrent event data with covariates under measurement errors / Alahakoon R., Zamba G. K. D., Wen X. M., Adekpedjou A. // Mathematics. 2025. Vol. 13, No. 1. P. 113. DOI: 10.3390/math13010113. EDN AZCYWO.

47. Variance Reduction and Measurement Errors in Estimating Lactation Milk Yields Using Best Prediction: An Analytical Review / Wu X. L., van Raden P. M., Cole J., Norman H. D. et al. // JDS Communications. 2024. DOI: 10.3168/jdsc.2024-0622. EDN ODHLQC.

48. Huang Y., Follmann D. Exposure proximal immune correlates analysis // Biostatistics. 2024. DOI: 10.1093/biostatistics/kxae031. EDN YWGVGG.

49. Liquet B., Moka S., Muller S. Best Subset Solution Path for Linear Dimension Reduction Models Using Continuous Optimization // Biometrical Journal. 2025. Vol. 67, No. 1. DOI: 10.1002/bimj.70015. EDN PDVCQJ.

50. Research on coupling coordination degree of digital finance and economic resilience in the Yangtze River Economic Belt / Tang D., Zhao Z., Li J., Boamah V. // Natural Hazards. 2024. DOI: 10.1007/s11069-024-06776-x. EDN PPBRVB.

51. Werner T. Trimming stability selection increases variable selection robustness // Machine Learning. 2023. Vol. 112, No. 12. P. 4995 –5055. DOI: 10.1007/s10994-023-06384-z. EDN AWTBVC.

52. Kochetova E`. S., Ukraintcev O. Iu. Nekotory`e aspekty` pravovogo regulirovaniia ucheta nauchny`kh publikatcii` v Rossii`skoi` Federatcii // Uspehi v himii i himicheskoi` tekhnologii. 2022. T. 36, № 5 (254). S. 95–97. EDN CMZPJF.

53. Putilo N. V., Shupletcova Iu. I. Pravovoe regulirovanie nauchnoi` deiatel`nosti v Rossii`skoi` Federatcii: obshchie tendentcii cherez prizmu chastny`kh problem // Upravlenie naukoi`: teoriia i praktika. 2019. T. 1, № 1. S. 96–109. DOI: 10.19181/smtp.2019.1.1.3. EDN VYHICH.

54. Koriakina Z. I. Pravovoe regulirovanie sub``ektov – fizicheskikh litc v nauchnoi` i (ili) nauchno-tekhnicheskoi` deiatel`nosti (chast` vtoraia) // Vestneyk Severo-vostochnogo federal`nogo universiteta im. M. K. Ammosova. Ser. Istoriia. Politologiia. Pravo. 2024. № 4 (36). S. 41–47. DOI: 10.25587/2587-5612-2024-4-41-47. EDN HSGQQF.

55. Kirillovy`kh A. A. Strategiia nauchno-tekhnologicheskogo razvitiia kak novaia paradigma sotcial`no-e`konomicheskoi` modernizatcii Rossii v usloviiakh global`ny`kh vy`zovov // Upravlenie naukoi`: teoriia i praktika. 2024. T. 6, № 3. S. 33–43. DOI: 10.19181/smtp.2024.6.3.3. EDN EGMTNE


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Safonov A.I., Nespirny V.N. The ecological profile of Donbass bibliographic landscape. Part 2. Scientific and Technical Libraries. 2026;(3):67-94. (In Russ.) https://doi.org/10.33186/1027-3689-2026-3-67-94

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