Fifty Years of Study of S-P-A Systems: Past Limitations and a Future Direction

Abstract Prognostic Soil-Plant-Atmosphere (S-P-A) system models should be made as robust as possible; that is, parameters should be independent of variables and constant during applications with similar initial conditions (no calibration). However, avoiding calibration requires more cooperation among neighboring disciplines with a commensurate increase in time and effort for development. An example is provided to illustrate the unfortunate consequences of inadequate cooperation among disciplines. Perhaps institutional disciplinary structures are becoming too overbearing, so that scientists are constantly tempted to take shortcuts that make cooperation with colleagues in different disciplines more unlikely. If practitioner scientists would rekindle a close relationship with philosophers of science, who study the actual conduct of science, a more realistic perspective might evolve to reduce institutional structural impediments and connect scientists more closely to the larger community that needs and supports them. Certainly persistence would be required to begin and sustain such a process of change.

[1]  Daniel B. Botkin,et al.  Environmental Science: Earth as a Living Planet , 1995 .

[2]  James C. Ascough,et al.  The Water Erosion Prediction Project ( WEPP ) Model , 2001 .

[3]  W. Green,et al.  Studies on Soil Phyics. , 1911, The Journal of Agricultural Science.

[4]  P. Julien,et al.  A 2-Dimensional Rainfall-Runoff and Sediment Model , 2003 .

[5]  J. Norman,et al.  Sustaining soil productivity in response to global climate change: science, policy, and ethics. , 2011 .

[6]  L. A. Richards Capillary conduction of liquids through porous mediums , 1931 .

[7]  J. Norman,et al.  A Mesopore and Matrix infiltration model based on soil structure , 2009 .

[8]  J. Norman,et al.  Intellectual inertia: an uneasy tension between collective validation of the known and encouraging exploration of the unknown. , 2011 .

[9]  John Maddox,et al.  The prevalent distrust of science , 1995, Nature.

[10]  Pierre Y. Julien,et al.  RASTER‐BASED HYDROLOGIC MODELING OF SPATIALLY‐VARIED SURFACE RUNOFF , 1995 .

[11]  P. S. Miller,et al.  Testing a Grid‐Based Soil Erosion Model across Topographically Complex Landscapes , 2008 .

[12]  Walter J. Rawls,et al.  Green‐ampt Infiltration Parameters from Soils Data , 1983 .

[13]  M. Planck The Theory of Heat Radiation , 2010 .

[14]  G. Weinberg An Introduction to General Systems Thinking , 1975 .

[15]  J. Strikwerda,et al.  DISTRIBUTED RUNOFF FORMULATION DESIGNED FOR A PRECISION AGRICULTURAL LANDSCAPE MODELING SYSTEM 1 , 2005 .

[16]  F. Ogden,et al.  Two-Dimensional Watershed-Scale Erosion Modeling With CASC2D , 2001 .