Meadow soils on the Soil map of Russian Federation at a scale of 1 : 2.5 million in the system of soil classification of Russia

The legend of the Soil Map of the RSFSR at a scale of 1 : 2.5 million (SMRF) presents five units of meadow soils. Their small areas are located in many regions of Russia. The search for correlations between the meadow soils of the original legend of the SMRF and soils in the Classification System of Russian Soils (CSRS) was carried out on the basis of a comparative analysis of soil-forming factors, morphological and analytical characteristics of meadow soil profiles in publications, where soil pit locations coincide with their areas on the map. According to publications, the meadow differentiated soils of the Khanka-Ussuri and Middle-Amur Plains correspond to five different soils that differ in soil formation conditions, properties and classification position (Ivanov, 1976). Thus, meadow-brown bleached (meadow podbels podzolyzed according to the classification of soils of the USSR) and meadow-gley bleached soils of the Khanka-Ussuri Plain correspond in the CSRS to dark-humus gleyic cryometamorphosed podbels and dark-humus humus-cryometamorphosed gley podbels. Meadow-gley podzolyzed and meadow-gley solodiс soils, formed under hydromorphic conditions on the young terraces of the Khanka-Ussuri Plain, correlate in the CSRS with humus-soddy-gley podzolyzed and dark-humus-gley solodiс carbonate-segregationary soils. Meadow-brown gley-bleached soils (meadow podzolyzed-gley soils according to the USSR soil classification system, 1977) of the Middle-Amur Plain, proposed in the CSRS (2008) as analogues of dark-humus-gley podzolyzed soils, can be defined as mucky-humus-gley podzolyzed dark-tonguic soils based on a combination of diagnostic properties. Meadow undifferentiated soils of the SMRF legend belong to two orders of the CSRS: organo-accumulative and gley soils. Their humus horizons are diverse: dark-humus, mucky-dark-humus (AUh), soddy (AY), mucky-humus (AH). Soils of large alases of Yakutia are characterized by unique carbonate peat-dark-humus upper horizons, they have also gleyic and solonetzic features, sometimes salinity in the profile.

1. Ananko T.V., Gerasimova M.I., Konyushkov D.E., Pale soils on carbonate-free deposits in Central Siberia and their taxonomic position in the Soil Classification of Russia, Dokuchaev Soil Bulletin, 2015, Vol. 77, pp. 29– 50, DOI: https://doi.org/10.19047/0136-1694-2015-77-29-50.

2. Ananko T.V., Konyushkov D.E., Gerasimova M.I., Pale soils with a bleached horizon developing from carbonate-free rocks in the classification System of Russian Soils, Dokuchaev Soil Bulletin, 2017, Vol. 87, pp. 22–38, DOI: https://doi.org/10.19047/0136-1694-2017-87-22-38.

3. Ananko T.V., Gerasimova M.I., Konyushkov D.E., Opyet obnovleniya pochvennoy karty RSFSR masshtaba 1 : 2.5 mln v sisteyme klassifikatsii pochv Rossii (Experience of updating the soil map of the RSFSR at a scale of 1 : 2.5 million in the soil classification system of Russia), Pochvovedenie, 2017, No. 12, pp. 1411–1420, DOI: https://doi.org/10.7868/S0032180X17120024.

4. Ananko T.V., Gerasimova M.I., Konyushkov D.E., The soils of mountainous territories (in the Russian), Dokuchaev Soil Bulletin, 2018, Vol. 92, pp. 122–146, DOI: https://doi.org/10.19047/0136-1694-2018-92-122-146.

5. Ananko T.V., Gerasimova M.I., Konyushkov D.E., Arctic and tundra soils on the new digital soil map of Russia, 1 : 2.5 M scale, Dokuchaev Soil Bulletin, 2020, Vol. 101, pp. 46–75, DOI: https://doi.org/10.19047/0136-1694-2020-101-46-75.

6. Ananko T.V., Gerasimova M.I., Savitskaya N.V., Floodplain soils on the soil map of the Russian Federation, scale 1 : 2.5 M, 1988, in the Russian soil classification, 2004, Dokuchaev Soil Bulletin, 2022, Vol. 113, pp. 5–30, DOI: https://doi.org/10.19047/0136-1694-2022-113-5-30.

7. Ananko T.V., Gerasimova M.I., Savitskaya N.V., Podzolic-brown soils of the Far East on the Soil map of Russian Federation, scale 1 : 2.5 M, and their correlation with soils in the Russian soil classification, Dokuchaev Soil Bulletin, 2024, Vol. 118, pp. 48–78, DOI: https://doi.org/10.19047/0136-1694-2024-118-48-78.

8. Atlas of the Tyumen Region, Iss. 1, Moscow–Tyumen: Izd-vo GU Geodezii i Kartografiipri SM SSSR, 1971, 198 p.

9. Atlas of Transbaikalia. Buryat ASSR and Chita Oblast, Moscow–Irkutsk: GUGK, 1967, pp. 54–57.

10. Atlas of Agriculture of the Yakut ASSR, Moscow: Izd-vo GU Geodezii I Kartografiipri SM SSSR, 1989, 117 p.

11. Vorobyeva G.A., Pochvy Irkutskoy oblasti: voprosy klassifikatsii, nomenklatury I korrelyatsii (Soils of the irkutsk region: classification, nomenclature, and correlation issues), Irkutsk: Izd-vo Irkut. gos. un-ta, 2009, 149 p.

12. Gerasimova M.I., Roslikova V.I., Mikromorfologiya lugovykh pochv Prikhankayskoy nizmennosti (Micromorphology of meadow soils of the Khanka Lowland), Pochvovedenie, 1985, No. 1, pp. 106–114.

13. Gyninova A.B., Shoba S.A., Balsanova L.D., Vliyanie kriogennykh faktorov na morfogenez lugovykh podbelov Priamur'ya (The influence of cryogenic factors on the morphogenesis of meadow undergrowths in the Amur Region), Vestnik MGU, Ser. Pochv., 2008, No. 3, pp. 10–14.

14. Gyninova A.B., Gerasimova M.I., Lebedeva M.P., Kriogennyye priznaki v mikrostroyenii lugovykh podbelov Sredneamurskoy nizmennosti (Cryogenic features in the microstructure of meadow undergrowths of the Middle Amur Lowland), Pochvovedenie, 2024, No. 5, pp. 655–664, DOI: https://doi.org/10.31857/S0032180X24050016.

15. Desyatkin R.V., Pochvoobrazovaniye v termokarstovykh kotlovinakh – alasakh kriolitozony (Soil formation in thermokarst basins – alases of permafrost zones), Novosibirsk: Nauka, 2008, 300 p.

16. Unified State Register of Soil Resources of Russia, Version 1.0, Moscow: V.V. Dokuchaev Soil Science Institute, 2014, 768 p.

17. Zhogolev A.V., SavinI.Yu., Avtomatizirovannoe obnovlenie srednemasshtabnykh pochvennykh kart (Automated updating of medium-scale soil maps), Pochvovedenie, 2016, No. 11, pp. 45–64, DOI: https://doi.org/10.7868/S0032180X16110125.

18. Elovskaya L.G., Klassifikatsiya I diagnostika merzlotnykh pochv Yakutii (Classification and diagnostics of permafrost soils of Yakutia), Yakutsk, 1987, 172 p.

19. Zolnikov V.G., Elovskaya L.G., Teterina L.V., Chernyak E.I., Pochvy Vilyuyskogo basseyna i ikh ispol'zovanie (Soils of the Vilyui basin and their use), Moscow: Izd-vo AN SSSR, 1962, 204 p.

20. Ivanov G.I., Pochvoobrazovanie na yuge Dal'nego Vostoka (Soil formation in the south of the Far East), Moscow: Nauka, 1976, 199 p.

21. Klassifikatsiya i diagnostika pochv Rossii (Classification and diagnostics of soils of Russia), Smolensk: Oikumena, 2004, 342 p.

22. Klassifikatsiya i diagnostika pochv SSSR (Classification and diagnostics of soils of the USSR), Moscow: Kolos, 1977, 123 p.

23. Konyushkov D.E., Ananko T.V., Gerasimova M.I., Lebedeva I.I., Actualization of the contents of the soil map of Russian Federation (1 : 2.5 M scale) in the format of the classification system of Russian soils for the development of the new digital map of Russia, Dokuchaev Soil Bulletin, 2020, Vol. 102, pp. 21–48, DOI: https://doi.org/10.19047/0136-1694-2020-102-21-48.

24. Konyushkov D.E., Gerasimova M.I., Ananko T.V., Korrelatsiya dernovo-karbonatnykh pochv na Pochvennoy karte RSFSR masshtaba 1 : 2.5 mlni v sisteme klassifikatsii pochv Rossii (Correlation of soddy-camellar soils on the soil map of the RSFSR at a scale of 1 : 2.5 million and in the Soil Classification system of Russia), Pochvovedenie, 2019, No. 3, pp. 276–289.

25. Kornblium E.A., Zimovets B.A., Proiskhozhdenie pochv Priamur'ya s belesym gorizontom (Origin of soils with a whitish horizon in the Amur Region), Pochvovedenie, 1961, No. 6, pp. 55–66.

26. Kuz'min V.A., Ob’yasnitel’naya zapiska k listu N 48 “Irkutsk” (Explanatory note to map sheet No. 48 “Irkutsk”), Moscow: VASKhNiL, Pochv. in-t im. V.V. Dokuchaeva, 1990, 55 p.

27. Liverovskiy Yu.A., Roslikova V.I., O genezise nekotorykh lugovykh pochv Primor'ya (On the genesis of some meadow soils of Primorye), Pochvovedenie, 1962, No. 8, pp. 36–40.

28. Polevoy opredelitel' pochv Rossii (Field Guide to Soils of Russia), Moscow: V.V. Dokuchaev Soil Institute, 2008, 182 p.

29. Sheet of State Soil Map P-52 “Yakutsk”, Moscow: GUGK, Compiled at the V.V. Dokuchaev Soil Science Institute, 1988.

30. Sheet of State Soil Map P-50 “Suntar”, Moscow: GUGK, Compiled at the V.V. Dokuchaev Soil Science Institute, 2002.

31. Pochvennaya karta Yakutii masshtaba 1 : 5 mln (Soil map of Yakutia, scale 1 : 5 million), In: Atlas sel'skogo khozyaystva Yakutskoy ASSR (Atlas of agriculture of the Yakut ASSR), Moscow: GUGK pri SM SSSR, 1989, pp. 30–31.

32. Pochvennaya karta Abinskogo rayona Krasnodarskogo Kraya (Soil map of Abinsky District, Krasnodar Krai), Moscow: Giprozem, 1974.

33. Pochvennaya karta Adygeyskoy avtonomnoy oblasti Krasnodarskogo Kraya (Soil map of the Adyghe Autonomous Region, Krasnodar Krai), Moscow: Giprozem, 1978.

34. Pochvennaya karta Severskogo rayona Krasnodarskogo Kraya (Soil map of Seversky District, Krasnodar Krai), Mosow: Giprozem, 1974.

35. Pochvennaya karta Tsentral'noy Yakutii masshtaba 1 : 2.5 mln (Soil map of Central Yakutia, scale 1 : 2.5 million), In: Atlas sel'skogo khozyaystva Yakutskoy ASSR (Atlas of agriculture of the Yakut ASSR), Moscow: GUGK pri SM SSSR, 1989, pp. 32–33.

36. Pochvenno-klimaticheskiy atlas Novosibirskoy oblasti (Soil and climatic atlas of Novosibirsk Oblast), Novosibirsk: Nauka, 1978, pp. 56–61.

37. Pochvenniy pokrov i zemel'nye resursy Rossiyskoy Federatsii (Soil cover and land resources of the Russian Federation), Moscow: V.V. Dokuchaev Soil Science Institute, 2001, 399 p.

38. Kovalyova R.V. (Ed.), Pochvy Novosibirskoy oblasti (Soils of the Novosibirsk Region), Novosibirsk: Nauka, 1966, 421 p.

39. Gerasimov I.P., Egorov V.V., Fridland V.M. (Eds), Programma Pochvennoy karty SSSR masshtaba 1 : 2 500 000 (Program for the Soil Map of the USSR, scale 1 : 2,500,000), Moscow: 1972, 158 p.

40. Roslikova V.I., Rybachuk N.A., Korotkij A.M., Atlas pochv yuga Dal'nego Vostoka Rossii. Prihankajskaya nizmennost' (Atlas of soils of the Southern Russian Far East. Prikhankayskaya Lowland), Vladivostok: Dal'nauka, 2010, 246 p.

41. Roslikova V.I., Matyushkina L.A., Teksturno-differencirovannye pochvy ravnin yuga Dal'nego Vostoka i ikh landshaftno-geograficheskie osobennosti (Texturally differentiated soils of the plains of the Southern Far East and their landscape-geographical features), Regional'nye problem, 2017, Vol. 20, No. 4, pp. 53–60.

42. SavinI.Yu., Gerasimova M.I., Lebedeva I.I., Ananko T.V., Konyushkov D.E., Belousova N.I., Korolyuk T.V., Shubina I.G., Khokhlov S.F., Shishkonakova E.A., Savitskaya N.V., O sozdanii novoj versii cifrovoj pochvennoj karty Rossii masshtaba 1 : 2.5 mln (On the creation of a new version of a digital soil map of Russia at a scale of 1:2.5 million), Proc. the Second All-Russian open conference with international participation Sovremennye problemi izucheniya pochvennyh i zemel'nykh resursov (Modern problems of studying soil and land resources), 2017, pp. 23–26.

43. Ukazaniya po klassifikacii i diagnostike pochv. Pochvy burozemno-lesnyh oblastej SSSR (Guidelines for the classification and diagnostics of soils. Soils of brown soil-forest regions of the USSR. Issue 11. USSR Ministry of Agriculture. V.V. Dokuchaev Soil Science Institute), Moscow: Kolos, 63 p.

44. Shishov L.L., Sokolov I.A., Geneticheskaya klassifikaciya pochv SSSR (Genetic classification of soils of the USSR), Pochvovedenie, 1989, No. 4, pp. 112–120.

45. Khitrov N.B., Kalinina N.V., Rogovneva L.V., Ruhovich D.I., Slitozemy i slitizirovannye pochvy Rossii (Slitozems and slitized soils of Russia), Mosocw: Pochv. in-t im. V.V. Dokuchaeva, 2020, 515 p.

46. Tsybzhitov C.H., Pochvy lesostepi Selenginskogo srednegor'ya (Soils of the forest-steppe of the Selenginsk middle mountains), Ulan-Ude, 1971, 107.p.

47. Tsybzhitov C.H., Gonchikov B-M.N., Pochvy bassejna ozera Bajkal (Soils of the Lake Baikal basin), Ulan-Ude: Buryatsk. un-t., 2006, Vol. 4, 201 p.

48. Zhogolev A., Savin I., Soil mapping based on globally optimal decision trees and digital imitations of traditional approaches, ISPRS International Journal of Geo-Information, 2020, Vol. 9, No. 11, 664 p., DOI: https://doi.org/10.3390/ijgi9110664.

49. Zhogolev A.V., Soil mapping based on globally optimal decision trees, Pedometrics: WGs Digital Soil Mapping – Global Soil Map, Wageningen, 2021.