Plant parameter database for erosion prediction models

• Published in: Applied engineering in agriculture Vol. 11; no. 5
• Main Authors: Deer-Ascough, L.A. (USDA, ARS, Great Plains Systems Research Unit, Fort Collins, CO.), Weesies, G.A, Ascough, J.C. II, Laflen, J.M
• Format: Journal Article
• Language: English
• Published: 01.01.1995
• Subjects: ALMACENAMIENTO DE INFORMACION; BANQUE DE DONNEES; BASES DE DATOS; CULTIVOS; EROSION; MODELE DE SIMULATION; MODELOS DE SIMULACION; PLANTE DE CULTURE; STOCKAGE DE L'INFORMATION; TECHNIQUE DE PREVISION; TECNICAS DE PREDICCION
• DOI: 10.13031/2013.25789
• ISSN: 0883-8542

Recently developed erosion prediction models require detailed input parameters including those describing cropping systems. Each model requires a different level of detail for crop growth modeling, and most plant parameters for these models are not readily found. Many parameters require interpretation from other measurable plant characteristics. In order to supply the users of these new erosion prediction technologies with required parameters, a database containing measurable plant characteristics was developed. The two erosion prediction models that the database currently supports are the USDA Revised Universal Soil Loss Equation (RUSLE) and the USDA Water Erosion Prediction Project (WEPP). A Microsoft Windows-based program, the Crop Parameter Intelligent Database System (CPIDS), was developed to assist crop database builders and users of RUSLE and WEPP in interpretation of plant characteristics and selection of plant parameters