Digital mapping of soil organic carbon stocks in Ukraine
DOI:
https://doi.org/10.31073/acss88-01Keywords:
digital soil mapping; Global Soil Organic Carbon Map; GSOCmap; organic carbon; soil cover of UkraineAbstract
Aim. Create a digital map of organic carbon stocks in the soils of Ukraine using digital soil mapping technologies. Methods. To create a digital map, spatial prediction methods were applied using R programming language. Results. Based on information on the organic carbon content in soil of Ukraine, legacy soil maps, remote sensing materials and additional topographic and climatic characteristics using the digital mapping technology, a national digital map of soil organic carbon stocks in a 0-30 cm layer with a resolution of 1x1 km was created. Modelling of the spatial distribution of organic carbon stocks in mineral soils was performed using the Random Forest algorithm, in peat lands – using the kriging method. The most significant predictors for spatial distribution of soil organic carbon stocks in the country's soil cover were soil type, climate variables, spectral reflectance of bare soil in the near infrared range of the spectrum. Conclusions. The digital map of organic carbon stocks in Ukraine’s soils was developed in accordance with the specifications of the Global Soil Partnership of the United Nation Food and Agriculture Organization (FAO) and integrated into the FAO Global Soil Organic Carbon Map (GSOCmap). The created national digital map of carbon stocks in the soils of Ukraine can be used as a basis for further monitoring of organic carbon stocks, however, this task can be achieved only if a unified national soil information system is created, in which information on field surveys is accumulated and updated.
References
References
Lal R. 2016. Soil health and carbon management. Food and Energy Security. 5(4):212–222.
Status of the World’s Soil Resources (SWSR) – Main Report. Rome, FAO and ITPS.2015; 650 p.
Hiederer R., Köchy M. 2011. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. Luxembourg, Publications Office of the European Union. 79 p.
GSP Guidelines for sharing national data/information to compile a Global Soil Organic Carbon (GSOC) map. Rome, FAO. 2016. 25 p.
Soil Organic Carbon Mapping Cookbook. 2nd edition. Ed Yigini Y., Olmedo G.F., Reiter S., Baritz R., Viatkin K., Vargas R. Rome, FAO. 2018. 220 p.
Medvedev V.V., Plysko I.V., Bihun O.M. 2015. Experience of pedotransfer modelling in the soil physics researches. Вulletin of Agricultural Science. 1:17–24. (Ukr.).
Medvedev V.V., Laktionova T.M., Plisko I.V., Bihun O.M., Sheiko S.M., Nakisko S.G. 2012. Agronomy-oriented arable lands' zoning-division per soil properties (substantiation, methods and examples). Kharkiv: City printing house. 100 p. (Ukr.).
Truskavetsky R.S. 2010. Peat soils and peat lands of Ukraine. Kharkiv: Miskdruk. 277 p. (Ukr.).
McBratney A.B., Mendonça Santos M.L., Minasny B. 2003. On digital soil mapping. Geoderma. 117(1-2):3–52.
Conrad O., Bechtel B., Bock M., Dietrich H., Fischer E., Gerlitz L., Wehberg J., Wichmann V., Boehner J. 2015. System for Automated Geoscientific Analyses (SAGA) v. 2.1.4. Geoscientific Model Development. 8(7):1991-2007.
Guisan A., Weiss S.B., Weiss A.D. 1999. GLM versus CCA spatial modeling of plant species distribution. Plant Ecology. 143(1):107-122.
Truskavetsky S.R. 2003. Modern approaches to mapping of soil cover of Ukrainian Polissya. Bulletin of Kharkiv national agrarian university named after V.V. Dokuchayev. 1:120-124. (Ukr.).
Polupan M.I., Solovey V.B., Velichko V.A. Classification of Ukrainian soils. Kyiv: Agrarian Science. 2005. 298 p. (Ukr.).
Hijmans R.J., Cameron S.E., Parra J.L., Jones P.G., Jarvis A. 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology. 25(15):1965-1978.
Malone B.P., Minasny B., McBratney A.B. 2017. Using R for Digital Soil Mapping. Switzerland, Springer. 262 p.
Breiman L. Bagging predictors. 1996. Machine Learning: 24(2):123–140.
Global Soil Organic Carbon Map (GSOCmap). Technical Report. Rome, FAO and ITPS. 2018. 162 p.
Downloads
Published
Issue
Section
License
This work is distributed under the Creative Commons Attribution-NonCommercial 4.0 International License.
