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| Modelowanie pedogenezy× | Krzywa wilgotności gleby× | |
|---|---|---|
| Dziedzina | Agronomia | Agronomia |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1941 (Jenny's factorial model); process-based numerical models from 1990s onward | 1956-1980 |
| Twórca≠ | Hans Jenny (foundational framework); later extended by multiple contributors including Simonson, Hoosbeek, and Bryant | Willard Robert Gardner, Rollin H. Brooks, Arthur T. Corey |
| Typ≠ | Quantitative process-based simulation model | Empirical soil water retention model |
| Źródło pierwotne≠ | 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. DOI ↗ | 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. DOI ↗ |
| Inne nazwy | soil formation modeling, soil genesis simulation, pedogenic process modeling, quantitative pedology | Water Retention Curve, pF Curve, Characteristic Curve, SWRC |
| Pokrewne≠ | 1 | 3 |
| Podsumowanie≠ | 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. |
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