A GIS-based modeling approach for implementation of sustainable farm management practices

Abstract Few agricultural producers utilize the true analytical power of GIS and computer simulation models, partly because the loose linkages developed to-date between GIS and most public-domain modeling software are extremely cumbersome to use. The integrated system (EPIC–View) developed in the study allows the integration of a comprehensive hydrologic–crop management model (EPIC) with a desktop GIS to function as a planning tool aimed at implementing sustainable farm management practices. The use of GIS makes possible the integration of diverse spatial data into a comprehensive spatial database. EPIC–View is applied to simulate nitrogen (N) dynamics under conventional and minimum tillage conditions of a field located in Caddo County, Oklahoma. In general, the overall N balance obtained under minimum tillage is better than the balance obtained under conventional tillage over a 5-year model run. Unexplained losses of N averaged 9.55% and 4.2% of the gain in N under conventional and minimum tillage respectively. The integrated modeling system holds immense potential as a farm management tool. Various components of a sustainable agricultural system including irrigation management, crop management, soil management, and pest management, can be efficiently managed. This approach could make farms more economically viable and ecologically sound.

[1]  Andrew N. Sharpley,et al.  EPIC, Erosion/Productivity Impact Calculator , 1990 .

[2]  John R. Williams,et al.  A modeling approach to determining the relationship between erosion and soil productivity [EPIC, Erosion-Productivity Impact Calculator, mathematical models] , 1984 .

[3]  John R. Williams,et al.  The erosion-productivity impact calculator (EPIC) model: a case history , 1990 .

[4]  M. A. Nearing,et al.  An Evaluation of the EPIC Model for Soybeans Grown in Southern Piedmont Soils , 1993 .

[5]  Jack Dangermond Where is the technology leading us , 1991 .

[6]  M. Heit,et al.  GIS applications in natural resources , 1996 .

[7]  Angela Lee,et al.  Perspectives on … Environmental Systems Research Institute, Inc , 1997 .

[8]  J. V. Baglio,et al.  Nonpoint source pollution impacts of alternative agricultural management practices in Illinois: A simulation study , 1993 .

[9]  Hamilton H. Moffatt Soil survey of Caddo County, Oklahoma , 1973 .

[10]  J. R. Williams,et al.  Use of the EPIC Model to Predict Runoff Transport of Surface-applied Inorganic Fertilizer and Poultry Manure Constituents , 1994 .

[11]  R. M. Ragan,et al.  An Operational GIS to Support State-Wide Hydrologic and Nonpoint Pollution Modeling , 1993 .

[12]  P. Crosson,et al.  Alternative Agriculture , 1989, Encyclopedia of Food and Agricultural Ethics.

[13]  C. W. Richardson,et al.  The Weather Factor: Incorporating Weather Variance Into Computer Simulation , 1992, Weed Technology.