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	Pojemność wymienna kationów	Modelowanie pedogenezy	Krzywa wilgotności gleby
Dziedzina	Agronomia	Agronomia	Agronomia
Rodzina	Process / pipeline	Process / pipeline	Process / pipeline
Rok powstania	1920-1982	1941 (Jenny's factorial model); process-based numerical models from 1990s onward	1956-1980
Twórca	Georg Wiegner, Heinrich Rotter, Melvin E. Sumner	Hans Jenny (foundational framework); later extended by multiple contributors including Simonson, Hoosbeek, and Bryant	Willard Robert Gardner, Rollin H. Brooks, Arthur T. Corey
Typ	Analytical soil characterization method	Quantitative process-based simulation model	Empirical soil water retention model
Źródło pierwotne	Thomas, G. W. (1982). Exchangeable cations. In A. L. Page, R. H. Miller, & D. R. Keeney (Eds.), Methods of soil analysis. Part 2: Chemical and microbiological properties (2nd ed., pp. 159-165). American Society of Agronomy.	Minasny, B., Finke, P., Stockmann, U., Vanwalleghem, T., & McBratney, A. B. (2015). Resolving the integral connection between pedogenesis and landscape evolution. Earth-Science Reviews, 150, 102–120.	Gardner, W. R. (1956). Representation of soil aggregate-size distribution by a logarithmic-normal distribution. Soil Science Society of America Journal, 20(2), 151-153.
Inne nazwy	CEC, Soil nutrient retention, Base saturation	soil formation modeling, soil genesis simulation, pedogenic process modeling, quantitative pedology	Water Retention Curve, pF Curve, Characteristic Curve, SWRC
Pokrewne	3	1	3
Podsumowanie	Cation exchange capacity (CEC) is a fundamental soil property that measures the soil's ability to hold and release positively charged nutrient ions (cations: K⁺, Ca²⁺, Mg²⁺, Na⁺, H⁺, Al³⁺) in forms available to plant roots. CEC reflects the amount and type of clay minerals and organic matter in the soil—compounds with negatively charged surface sites that attract and temporarily bind cations. High CEC soils retain nutrients longer and require less frequent fertilization; low CEC soils lose nutrients rapidly through leaching.	Pedogenesis modeling is a quantitative method used in agronomy and soil science to simulate the processes by which soils form and evolve over time. Rooted in Hans Jenny's 1941 factorial framework — soil as a function of climate, organisms, relief, parent material, and time — modern approaches translate these conceptual drivers into coupled numerical process equations, allowing researchers to reconstruct past soil states and project future soil properties under changing land use or climate scenarios.	The soil moisture curve (or soil water retention curve, SWRC) describes the relationship between soil water content and soil matric potential (water tension). It characterizes how tightly water is bound in pores of different sizes: large pores drain at low tensions (wet soils), while smaller pores retain water at high tensions (dry soils). Quantifying this relationship is essential for water balance modeling, unsaturated flow prediction, and assessing plant-available water.