Compară metode

	Capacitatea de Schimb Cationic	Modelarea pedogenezei
Domeniu	Agronomie	Agronomie
Familie	Process / pipeline	Process / pipeline
Anul apariției	1920-1982	1941 (Jenny's factorial model); process-based numerical models from 1990s onward
Autorul original	Georg Wiegner, Heinrich Rotter, Melvin E. Sumner	Hans Jenny (foundational framework); later extended by multiple contributors including Simonson, Hoosbeek, and Bryant
Tip	Analytical soil characterization method	Quantitative process-based simulation model
Sursa seminală	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.
Denumiri alternative	CEC, Soil nutrient retention, Base saturation	soil formation modeling, soil genesis simulation, pedogenic process modeling, quantitative pedology
Înrudite	3	1
Rezumat	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.