Compara mètodes

	Capacitat d'intercanvi catiònic	Mapeig Digital del Sòl	Modelització de la Pedogènesi
Camp	Agronomia	Agronomia	Agronomia
Família	Process / pipeline	Process / pipeline	Process / pipeline
Any d'origen	1920-1982	Late 1990s – early 2000s (formalised ~2003)	1941 (Jenny's factorial model); process-based numerical models from 1990s onward
Autor original	Georg Wiegner, Heinrich Rotter, Melvin E. Sumner	Multiple contributors; foundational framework by Alex McBratney and colleagues	Hans Jenny (foundational framework); later extended by multiple contributors including Simonson, Hoosbeek, and Bryant
Tipus	Analytical soil characterization method	Spatial prediction and mapping pipeline	Quantitative process-based simulation model
Font seminal	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.	McBratney, A. B., Mendonca Santos, M. L., & Minasny, B. (2003). On digital soil mapping. Geoderma, 117(1–2), 3–52.	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.
Àlies	CEC, Soil nutrient retention, Base saturation	DSM, predictive soil mapping, quantitative soil-landscape modelling, geostatistical soil mapping	soil formation modeling, soil genesis simulation, pedogenic process modeling, quantitative pedology
Relacionats	3	1	1
Resum	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.	Digital Soil Mapping (DSM) is a quantitative, data-driven pipeline that predicts the spatial distribution of soil properties and classes across a landscape by statistically linking field observations to environmental covariates — terrain attributes, remote sensing imagery, climate surfaces, and geology layers. The approach replaces or augments traditional expert-drawn soil surveys with reproducible, spatially explicit models, and is applied in agronomy, land management, food security, and environmental assessment.	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.