Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Modelování intercepce korunami stromů× | Model růstu plodin (DSSAT/APSIM)× | |
|---|---|---|
| Obor | Agronomie | Agronomie |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1971–1979 (foundational models; continuous development since) | 1993-2003 |
| Tvůrce≠ | Multiple contributors (Rutter et al. 1971; Gash 1979 for principal analytical frameworks) | James W. Jones, Gerbrand T. Hoogenboom (DSSAT); Brian A. Keating, Peter S. Carberry (APSIM) |
| Typ≠ | Process-based hydrological model | Mechanistic crop simulation pipeline |
| Původní zdroj≠ | Rutter, A. J., Kershaw, K. A., Robins, P. C., & Morton, A. J. (1971). A predictive model of rainfall interception in forests. Agricultural Meteorology, 9, 367–384. link ↗ | Jones, J. W., Hoogenboom, G., Porter, C. H., et al. (2003). The DSSAT cropping system model. European Journal of Agronomy, 18(3-4), 235-265. DOI ↗ |
| Další názvy≠ | interception loss modeling, canopy rainfall partitioning, forest interception modeling, throughfall-stemflow modeling | DSSAT, APSIM, Crop Simulation Model |
| Příbuzné≠ | 0 | 3 |
| Shrnutí≠ | Canopy interception modeling quantifies the fraction of rainfall captured by plant canopies and subsequently evaporated back to the atmosphere before reaching the soil. Applied across agronomy, forestry, and hydrology, it partitions gross precipitation into throughfall, stemflow, and interception loss. By linking vegetation structure — particularly leaf area index and canopy storage capacity — to water balance components, the method informs irrigation scheduling, watershed management, and crop water-use estimation. | Crop growth models are mechanistic simulation systems designed to predict crop development, biomass accumulation, and yield under varying environmental and management conditions. DSSAT (Decision Support System for Agrotechnology Transfer) and APSIM (Agricultural Production Systems Simulator) are the most widely used platforms, developed in the 1990s-2000s to support agronomic decision-making and climate adaptation research. |
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