Concept critically important.
	Must follow the rules of using core databases to get good results from RUSLE2.
	Data for many variables are linked.
	RUSLE2 has been calibrated to give good soil loss values based on research data assuming a certain set of input values.
	The input values used in application of RUSLE2 must be consistent with the calibration values.
	Core values have been set up to be consistent with the calibration values.
	A change away from the core values actually degrades the performance of RUSLE2 rather than improves it.
	RUSLE2 DEFINITIONS, RULES, PROCEDURES, and CORE DATA MUST BE FOLLOWED FOR GOOD RESULTS.
	Can’t independently change one set of data without recalibrating.
	Must let RUSLE2 factors and subfactors represent what they were intended to represent.
	For example, the K factor values are not to be modified to represent the effect of organic farming.  The cover-management subfactors represent the effects of organic farming.