Soil data rescue in Ukraine: achievements and future opportunities

Authors

DOI:

https://doi.org/10.31073/acss98-01

Keywords:

soil data; "Ukrainian soil properties” database; national soil information products; data integration

Abstract

Soil is a key component in addressing the global challenges humanity currently faces, including food security and climate change mitigation. The data stored in soil databases is crucial for assessing soil quality and ecosystem services. This paper examines the achievements in rescuing soil data in Ukraine, focusing on the current content of the "Ukrainian Soil Properties" database developed by the National Scientific Center "Institute for Soil Science and Agrochemistry Research named after O. N. Sokolovsky" and the national soil information products derived from it. The integration of Ukrainian soil data into international databases, such as EU-HYDI and SOTER-SOVEUR, is examined. The "Ukrainian soil properties” database compiles 10095 records on physical and chemical parameters for 1923 soil profiles and 228 records of surface soil layer surveys. Approximately 32.9% of the records are included in the Information System for Monitoring Land Degradation Neutrality of Agricultural Land; the integration of soil data into other databases ranges from 1.6% (National Organic Carbon Stock Map Database) to 3.9% (EU-HYDI). The paper provides an overview of the data sources included in the WoSIS database (snapshot 2023), emphasizing their appropriate use in scientific research. Directions for advancing national soil databases are outlined, including the integration of soil data rescue efforts into scientific programs and projects, promoting information exchange among institutions and research teams, and recognizing data providers as co-authors of information products. Creating thematic datasets aligned with FAIR principles and developing national and regional maps using digital soil mapping and modeling techniques represent a promising avenue for utilizing soil legacy data. Strengthening collaboration among researchers and stakeholders is essential to address current information needs and ensure the preservation of soil data for both local and global research purposes. Adopting open science principles will facilitate the preservation and re-use of soil data, its integration into interdisciplinary research to address local and global environmental challenges, and encourage the development of new soil science research.

References

Bouma, J. (2014). Soil science contributions towards sustainable development goals and their implementation: linking soil functions with ecosystem services. Journal of plant nutrition and soil science, 177(2), 111–120. https://doi.org/10.1002/jpln.201300646

Panagos, P., Montanarella, L., Barbero, M., Schneegans, A., Aguglia, L., & Jones, A. (2022). Soil priorities in the European Union. Geoderma Regional, 29, e00510. https://doi.org/10.1016/j.geodrs.2022.e00510

Heuser, I. (2022). Soil governance in current European Union law and in the European green Deal. Soil Security, 6, 100053. https://doi.org/10.1016/j.soisec.2022.100053

Panagos, P., Van Liedekerke, M., Borrelli, P., Köninger, J., Ballabio, C., Orgiazzi, A., ... Montanarella L. (2022). European Soil Data Centre 2.0: Soil data and knowledge in support of the EU policies. European Journal of Soil Science, 73(6), e13315. https://doi.org/10.1111/ejss.13315

Ginzky, H., & Ruppel, O. C. (2022). Soil protection law in Africa: Insights and recommendations based on country studies from Cameroon, Kenya and Zambia. Soil Security, 6, 100032. https://doi.org/10.1016/j.soisec.2021.100032

Arias-Navarro, C., Panagos, P., Jones, A., Amaral, M. J., Schneegans, A., Van Liedekerke, M., … P., Montanarella, L. (2023), Forty years of soil research funded by the European Commission: Trends and future. A systematic review of research projects. European Journal of Soil Science, 74(5), e13423. https://doi.org/10.1111/ejss.13423

Montanarella, L., & Panagos, P. (2021). The relevance of sustainable soil management within the European Green Deal. Land use policy, 100, 104950. https://doi.org/10.1016/j.landusepol.2020.104950

Panagiotakis, I., & Dermatas, D. (2022). New European Union soil strategy: A potential worldwide tool for sustainable waste management and circular economy. Waste Management & Research, 40(3), 245-247. https://doi.org/10.1177/0734242X221079114

Panagos, P., Broothaerts, N., Ballabio, C., Orgiazzi, A., De Rosa, D., Borrelli, P., ... Jones, A. (2024). How the EU Soil Observatory is providing solid science for healthy soils. European Journal of Soil Science, 75(3), e13507. https://doi.org/10.1111/ejss.13507

Cornu, S., Keesstra, S., Bispo, A., Fantappie, M., van Egmond, F., Smreczak, B., ... Chenu, C. (2023). National soil data in EU countries, where do we stand? European Journal of Soil Science, 74(4), e13398. https://doi.org/10.1111/ejss.13398

van Egmond, F. M., Andrenelli, M. C., Arrouays, D., Aust, G., Bakacsi, Z., Batjes, N. H., … Yahiaoui R. (2021). Report on harmonized procedures for creation of databases and maps. EJP Soil. Zenodo. https://doi.org/10.5281/zenodo.12704083

Samuel-Rosa, A., Dalmolin, R. S. D., Moura-Bueno, J. M., Teixeira, W. G., & Alba, J. M. F. (2019). Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. Scientia Agricola, 77(1), e20170430. https://doi.org/10.1590/1678-992X-2017-0430

Pfeiffer, M., Padarian, J., Osorio, R., Bustamante, N., Olmedo, G. F., Guevara, M., ... Zagal E. (2020). CHLSOC: the Chilean Soil Organic Carbon database, a multi-institutional collaborative effort. Earth Syst. Sci. Data, 12(1), 457-468. https://doi.org/10.5194/essd-12-457-2020

Armas, D., Guevara, M., Bezares, F., Vargas, R., Durante, P., Osorio, V., ... Oyonarte, C. (2022). Harmonized Soil Database of Ecuador (HESD): data from 2009 to 2015. Earth Syst. Sci. Data, 15, 431–445. https://doi.org/10.5194/essd-15-431-2023

Díaz-Guadarrama, S., Varón-Ramírez, V. M., Lizarazo, I., Guevara, M., Angelini, M., Araujo-Carrillo, G. A., ... Rubiano, Y. (2024). Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability. Earth Syst. Sci. Data, 16, 1229-1246. https://doi.org/10.5194/essd-16-1229-2024

Vásquez, A., Varón-Ramírez, V. M., Tobías, H., & Guevara, M. (2024). Guatemala soil organic carbon database (GTMSOC). European Journal of Soil Science, 75(1), e13450. https://doi.org/10.1111/ejss.13450

Nenkam, A. M., Wadoux, A. M. C., Minasny, B., Silatsa, F. B., Yemefack, M., Ugbaje S. U., ... McBratney, A. B. (2024). Applications and challenges of digital soil mapping in Africa. Geoderma, 449, 117007. https://doi.org/10.1016/j.geoderma.2024.117007

Kidd, D., Searle, R., Grundy, M., McBratney, A., Robinson, N., O'Brien, L., ... Triantafilis, J. (2020). Operationalising digital soil mapping–Lessons from Australia. Geoderma Regional, 23, e00335. https://doi.org/10.1016/j.geodrs.2020.e00335

Batjes, N. H., Calisto, L., & de Sousa, L. M. (2024). Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023). Earth Syst. Sci. Data, 16, 4735-4765. https://doi.org/10.5194/essd-16-4735-2024

Medeiros, B. M., Sequinatto-Rossi, L., ten Caten, A., Pereira, G. E., Silva, E. B. D., & Daboit, K. T. U. (2024). Soil legacy data: An opportunity for digital soil mapping. Revista Brasileira de Ciência do Solo, 48, e0230130. https://doi.org/10.36783/18069657rbcs20230130

Laktionova, T. M., Medvedev, V. V., Savchenko, K. V., Bigun, O. M., Nakis’ko, S. G., & Sheyko, S. N. (2010). Structure and use procedure for "Ukrainian Soil Properties Database" (Hand book) / Kharkiv: Apostrof [In Ukrainian].

Laktionova, T. M., Medvedev, V. V., Savchenko, K. V., Bigun, O. M., Nakis’ko, S. G., Sheyko, S. M. (2015). “Ukrainian soil properties” database and its application. Agricultural science and practice, 2(3), 3-8. https://doi.org/10.15407/agrisp2.03.003

Laktionova, T. M. (2018). The experience of creating and using seven soil databases in the Soil-Geoeocophysics Laboratory. AgroChemistry and Soil Science, 87, 63-71. https://doi.org/10.31073/acss87-10 [In Ukrainian].

Baliuk, S. A., & Bigun, O. M. (2019). Structure of a database of national digital map of stores of organic carbon in soils of Ukraine. Bulletin of Agricultural Science, 4, 5-10. https://doi.org/10.31073/agrovisnyk201904-01 [In Ukrainian].

Medvedev, V. V., Laktionova, T. M., Plisko, I. V., Bigun, O. M., Sheiko, S. M., & Nakisko, S. G. (2012). Agronomically oriented zoning of lands according to soil properties (substantiation, methods, examples). Kharkiv [In Ukrainian].

Medvedev, V. V., Plisko, I. V., & Bigun, O. M. (2014). Investment attractiveness of arable lands of Ukraine (methodology of determination and cartographic and analytical assessments). Kharkiv [In Ukrainian].

Laktionova, T., & Nakisko, S. (2014). Particle size distribution as a basic characteristic for pedotransfer prediction of permanent wilting point. Agricultural Science and Practice, 1(1), 13-19. https://doi.org/10.15407/agrisp1.01.013

Medvedev, V. V., Plisko, I. V., & Bigun, O. M. (2015). Experience with pedotransfer modeling in soil physics research. Bulletin of Agricultural Science, 1, 17–24. https://agrovisnyk.com/archive_ua_2015_01_02.html [In Ukrainian].

Agricultural Land Degradation Neutral Platform. Ukrainian Soil Partnership. Retrieved from https://uasp.com.ua/2022/01/18/platforma-nejtralnogo-rivnya-degradacziyi-zemel-silskogospodarskogo-pryznachennya/ (date of application: 07.01.2025).

Solovei, V., Lebed, V., & Laktionova, T. (2022). Scientific methodological fundamentals of the functioning of the Ukrainian Soil Information Center. Bulletin of Agricultural Science, 100(9), 26–33. https://doi.org/10.31073/agrovisnyk202209-03 [In Ukrainian].

Joint Research Centre: Institute for Prospective Technological Studies. (2013). European HYdropedological Data Inventory (EU-HYDI), Publications Office. https://data.europa.eu/doi/10.2788/5936

Soil and Terrain Database for Central and Eastern Europe (SOVEUR), version 1.1. ISRIC Data Hub. Retrieved from https://data.isric.org/geonetwork/srv/eng/catalog.search#/metadata/b1fa4988-b511-48e3-9548-3c48f0a908fa (Accessed 07 January 2025).

Calisto, L., de Sousa, L.M., & Batjes, N.H. (2023). Standardised soil profile data for the world (WoSIS snapshot – December 2023). ISRIC Data Hub. https://doi.org/10.17027/isric-wdcsoils-20231130. (Accessed 07 January 2025).

Viatkin, K. V., Zalavskyi, Y. V., Lebed, V. V., Sherstyuk, O. I., Bihun, O. M., Plisko, I. V., Nakisko, S. G. (2019). Digital mapping of soil organic carbon stocks in Ukraine. AgroChemistry and Soil Science, 88, 5-11. https://doi.org/10.31073/acss88-01 [In Ukrainian].

van Engelen, V. W. P., & Dijkshoorn, J. A. (2013). Global and National Soils and Terrain Databases (SOTER). Procedures Manual. Version 2.0. Wageningen: ISRIC - World Soil Information. Retrieved from https://esdac.jrc.ec.europa.eu/public_path/shared_folder/SOTER/isric_report_2013_04.pdf. (Accessed 07 January 2025).

Batjes, N. M. (Ed.) (2000). Soil Degradation and Vulnerability Assessment for Central and Eastern Europe - Preliminary Results of the SOVEUR Project: Report of concluding workshop (Busteni, 26-31 October 1999). Wageningen: ISRIC. Retrieved from https://isric.org/sites/default/files/isric_report_2000_04.pdf. (Accessed 07 January 2025).

Medvedev, V. V., Laktionova, T. M., & Breus, N. M. (2000). Zoning of the territory of Ukraine according to the SOTER method. AgroChemistry and Soil Science, 60, 10–18 [In Ukrainian].

WISE Soil Property Databases. www.isric.org. Retrieved from https://www.isric.org/explore/wise-databases (Accessed 07 January 2025).

Soil and terrain database for the Danube basin. www.isric.org. Retrieved from https://www.isric.org/projects/soil-and-terrain-database-danube-basin (Accessed 07 January 2025).

European Hydropedological Data Inventory (EU-HYDI) database - ESDAC - European Commission. ESDAC – European Commission. Retrieved from https://esdac.jrc.ec.europa.eu/content/european-hydropedological-data-inventory-eu-hydi-database-0 (Accessed 07 January 2025).

Application to search the World Reference Collection. www.isric.org. Retrieved from https://isis.isric.org/ (Accessed 07 January 2025).

Geochemical mapping of agricultural and grazing land soil. GEMAS Project. Retrieved from https://gemas.eurogeosurveys.org/ (Accessed 07 January 2025).

Ottoni, M. V., Ottoni, F. T. B., Schaap, M. G., Lopes-Assad, M. L. R., & Rotunno, F. O. C. (2018). Hydrophysical database for Brazilian soils (HYBRAS) and pedotransfer functions for water retention. Vadose Zone Journal, 17(1), 1-17. https://doi.org/10.2136/vzj2017.05.0095

Nemes, A. (2002). Unsaturated soil hydraulic database of Hungary: HUNSODA. Agrokémia és Talajtan, 51(1-2), 17-26. https://doi.org/10.1556/agrokem.51.2002.1-2.3

Makó, A., Tóth, B., Hernádi, H., Farkas, C., & Marth, P. (2010). Introduction of the Hungarian Detailed Soil Hydrophysical Database (MARTHA) and its use to test external pedotransfer functions. Agrokémia és Talajtan, 59(1), 29-38. https://doi.org/10.1556/agrokem.59.2010.1.4

Mihalikova, M., Matula, S., & Doležal, F. (2013). HYPRESCZ--Database of Soil Hydrophysical Properties in the Czech Republic. Soil & Water Research, 8(1), 34-41. https://doi.org/10.17221/58/2012-SWR

Al Majou, H., Bruand, A., Duval, O., Le Bas, C., Vautier, A. (2008). Prediction of soil water retention properties after stratification by combining texture, bulk density and the type of horizon. Soil Use and Management, 24(4), 383-391. https://doi.org/10.1111/j.1475-2743.2008.00180.x

Dobarco, M. R., Cousin, I., Le Bas, C., & Martin, M. P. (2019). Pedotransfer functions for predicting available water capacity in French soils, their applicability domain and associated uncertainty. Geoderma, 336, 81-95. https://doi.org/10.1016/j.geoderma.2018.08.022

Samuel-Rosa. A., Dalmolin, R. S. D., Gubiani, P. I., Teixeria, V. G., Oliveria, S. R. de M., Viana, J. H. M. … Moura-Bueno, J. M. (2018). Bringing together Brazilian soil scientists to share soil data / A. Samuel-Rosa et al. 12th Southern Brazilian Soil Science Meeting, Xanxerê. Solo, água, ar e biodiversidade: componentes essenciais para a vida: anais., Chapecó. 2018. Retrieved from https://www.alice.cnptia.embrapa.br/alice/handle/doc/1094648 (Accessed January 7, 2025).

Ali, A., Erkossa, T., Gudeta, K., Abera, W., Mesfin, E., Mekete, T., ... Elias, E. (2022). Reference soil groups map of Ethiopia based on legacy data and machine learning-technique: EthioSoilGrids 1.0. Soil, 10, 189–209. https://doi.org/10.5194/soil-10-189-2024

Matthews, F., Verstraeten, G., Borrelli, P., Vanmaercke, M., Poesen, J., Steegen, A., ... Panagos, P. (2023). EUSEDcollab: a network of data from European catchments to monitor net soil erosion by water. Sci Data, 10, 515. https://doi.org/10.1038/s41597-023-02393-8

Arrouays, D., Leenaars, J. G., Richer-de-Forges, A.C., Adhikari, K., Ballabio, C., Greve, M., ... Rodriguez, D. (2017). Soil legacy data rescue via GlobalSoilMap and other international and national initiatives. GeoResJ, 14, 1–19. https://doi.org/10.1016/j.grj.2017.06.001

Heung, B., Hodúl, M., & Schmidt, M. G.(2017). Comparing the use of training data derived from legacy soil pits and soil survey polygons for mapping soil classes. Geoderma, 290, 51-68. https://doi.org/10.1016/j.geoderma.2016.12.001

Reddy, N. N., Chakraborty, P., Roy, S., Singh, K., Minasny, B., McBratney, A. B., ... Das, B. S. (2021). Legacy data-based national-scale digital mapping of key soil properties in India. Geoderma, 381, 114684. https://doi.org/10.1016/j.geoderma.2020.114684

Minai, J. O., Schulze, D. G., & Libohova, Z. (2022). Renewal of archival legacy soil data: A case study of the Busia Area, Kenya. Frontiers in Soil Science, 1, 765248. https://doi.org/10.3389/fsoil.2021.765248

Gobezie, T. B., Scott ,S. D., Daggupati, P., Bedard-Haughn, A., & Biswas, A. (2024). Soil data recency: The foundation for harmonizing soil data across time. Journal of Environmental Management, 364, 121484. https://doi.org/10.1016/j.jenvman.2024.121484

Hendriks, C. M. J., Stoorvogel, J. J., Lutz, F., & Claessens, L. (2019). When can legacy soil data be used, and when should new data be collected instead? Geoderma, 348, 181-188. https://doi.org/10.1016/j.geoderma.2019.04.026

Sorenson, P. T., Shirtliffe, S. J., & Bedard-Haughn, A. K. (2021). Predictive soil mapping using historic bare soil composite imagery and legacy soil survey data. Geoderma, 401, 115316. https://doi.org/10.1016/j.geoderma.2021.115316

Xia, Y., Sanderman, J., Watts, J. D., Machmuller, M. B., Ewing, S., & Rivard, C. (2024). Leveraging legacy data with targeted field sampling for low-cost mapping of soil organic carbon stocks on extensive rangeland properties. Geoderma, 448, 116952. https://doi.org/10.1016/j.geoderma.2024.116952

FAO. (2025). Introducing the Global Soil Information System. Food and Agriculture Organization of the United Nations. Retrieved from https://www.fao.org/global-soil-partnership/areas-of-work/soil-information-and-data/en/ (Accessed 07 January 2025).

Poggio, L., De Sousa, L. M., Batjes, N. H., Heuvelink, G. B., Kempen, B., Ribeiro, E., Rossiter, D. (2021). SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty. Soil, 7(1), 217-240. https://doi.org/10.5194/soil-7-217-2021

Hengl, T. (2018). Silt content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution (v0.2) [Data set]. Zenodo. 2018. https://doi.org/10.5281/zenodo.2525676 (Accessed 07 January 2025).

Hengl, T., Minarik, R., Tian, X., Parente, L., Ho, Y.-F., Consoli, D., Simoes, R., and contributors. (2024). Soil Health Data Cube for pan-EU technical manual (Version v0.1). 2024. OpenGeoHub Foundation. Zenodo. https://doi.org/10.5281/zenodo.13838797 , Retrieved from https://shdc.ai4soilhealth.eu/ (Accessed 07 January 2025).

Thompson, J. A., Kienast-Brown, S., D'Avello ,T., Philippe, J., Brungard, C. (2020). Soils2026 and digital soil mapping – A foundation for the future of soils information in the United States. Geoderma regional, 22, e00294. https://doi.org/10.1016/j.geodrs.2020.e00294

Rossiter, D. G., Dungait ,J. A., Mulder, V. L., & Heuvelink, G. B. (2022). A new article type: The 'Data Article'. European Journal of Soil Science, 73(3). e13265. https://doi.org/10.1111/ejss.13265

Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., ... Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific data, 3(1), 1-9. https://doi.org/10.1038/sdata.2016.18

Hauschke, C., Nazarovets, S., Altemeier, F., & Kaliuzhna, N.(2021). Roadmap to FAIR research information in open infrastructures. Journal of Library Metadata, 21(1-2), 45-61. https://doi.org/10.1080/19386389.2021.1999156

Ali, B., & Dahlhaus, P. (2022). The role of FAIR data towards sustainable agricultural performance: A systematic literature review. Agriculture, 12(2), 309. https://doi.org/10.3390/agriculture12020309

Published

2025-07-01

How to Cite

Bihun, O. M. (2025). Soil data rescue in Ukraine: achievements and future opportunities. AgroChemistry and Soil Science, 98, 4-18. https://doi.org/10.31073/acss98-01