Drivers of Soil Organic Carbon Spatial Distribution in the Southern Ural Mountains: A Machine Learning Approach - Suleymanov, A. R.; Suleymanov, R. R.; Belan, L. N.; Asylbaev, I. G.; Tuktarova, I. O.; Shagaliev, R. D.; Bogdan, E. A.; Fairuzov, I. I.; Mirsayapov, R. R.; Davydychev, A. N. (Eurasian soil science, 2024)
Keywords: Abies sibirica; Application of Modeling to Assess and Forecast Changes in Soil Carbon Stocks; Betula pendula; Bioclimatology; climate; Cloud cover; Coniferous trees; data collection; Decomposing organic matter; Digital Elevation Models; Earth and Environmental Science; Earth Sciences; Elevation; Environmental factors; forests; Geotechnical Engineering & Applied Earth Sciences; Humus; Land use; Learning algorithms; Leptosols; Machine learning; Mountains; Organic carbon; Phaeozems; Picea obovata; Pine trees; Pinus sylvestris; Precipitation; Prediction models; Random variables; Remote sensing; Root-mean-square errors; Soil; Soil formation; Soil layers; soil organic carbon; Soil temperature; Soil types; Spatial data; Spatial distribution; Surface temperature; Vertical distribution; Ural Mountains; digital soil mapping; remote sensing data; random forest; climate; relief