Salīdzināt metodes

	Kušņu aizseguma modelēšana	Kultūraugu augšanas modeļi (DSSAT/APSIM)
Nozare	Agronomija	Agronomija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1971–1979 (foundational models; continuous development since)	1993-2003
Autors	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)
Tips	Process-based hydrological model	Mechanistic crop simulation pipeline
Pirmavots	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.	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.
Citi nosaukumi	interception loss modeling, canopy rainfall partitioning, forest interception modeling, throughfall-stemflow modeling	DSSAT, APSIM, Crop Simulation Model
Saistītās	0	3
Kopsavilkums	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.