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Updated: Jan 1, 2026

Monitoring Pedogenic Inorganic Carbon Accumulation Due to Weathering of Amended Silicate Minerals in Agricultural Soils.
Published on: June 4, 2021
Associated data on the physicochemical properties of pedosediments, climatic and dendrochronological indicators for
Fedor Lisetskii1, Arseniy Poletaev2, Evgenia Zelenskaya2
1Federal and Regional Centre for Aerospace and Surface Monitoring of the Objects and Natural Resources, Belgorod National Research University, Belgorod, 308015, Russian Federation.
Abstract:
Palaeogeographic markers can be justified among a large number of geochemical indicators in separate layers of pedosediments. This determines the need to develop a system of most information-rich pedogenetic indicators for reconstruction of the dynamics of erosion-accumulative processes based on dated earthen defensive constructions of the historical period. We demonstrated this solution at the example of a frontier rampart with a ditch of the mid-17th century ("Catena linking of landscape-geochemical processes and reconstruction of pedosedimentogenesis: a case study of defensive constructions of the mid-17th century, South Russia" [1]). Using individual of macroelements and trace elements as part of complex geochemical relationships and indicators allows us to determine the geochemical associations of elements that diagnose migration of the sediments at the trans-eluvial catenas. It is shown that in the forest-steppe conditions the determined system of pedogenic indicators, such as content of particles (%) with the size >0.01 and < 0.005 mm, pHH2O, CO2, (CaО+MgO):Al2O3, Si:Al, CaO:TiO2, the eluviation coefficient, the association of mobile (Ca, Na, Mg, Sr) and weakly mobile (K, Ba, Rb) elements, the sum of the elements accumulated in the soil (P, Ca, K, Mg, Mn, Cu). They can be the basis of this classification and chronostratigraphy of pedosediments. The data obtained in these investigations are aimed at the establishment of soil-geomorphologic interrelations and calibration of mathematical models of natural processes.
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