方法对比

	植被对降雨的分配	作物生长模型（DSSAT/APSIM）	土壤水分特征曲线
领域	农学	农学	农学
方法族	Process / pipeline	Process / pipeline	Process / pipeline
起源年份	1971–1979 (foundational models; continuous development since)	1993-2003	1956-1980
提出者	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)	Willard Robert Gardner, Rollin H. Brooks, Arthur T. Corey
类型	Process-based hydrological model	Mechanistic crop simulation pipeline	Empirical soil water retention model
开创性文献	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.	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.
别名	interception loss modeling, canopy rainfall partitioning, forest interception modeling, throughfall-stemflow modeling	DSSAT, APSIM, Crop Simulation Model	Water Retention Curve, pF Curve, Characteristic Curve, SWRC
相关	0	3	3
摘要	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.	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.