Computer simulation models of crop-soil systems offer the potential to
increase understanding of soil N cycle processes, thereby improving m
anagement of N resources in agricultural systems. NCSWAP (Nitrogen, Ca
rbon, Soil, Water, And Plant) is a comprehensive, deterministic comput
er model of the plant-soil system that simulates seasonal soil C and N
cycles under the control of temperature, moisture, microbial activity
, and crop growth. The objective of this study was to validate NCSWAP
using data collected during a 3-yr N-rate study in central Pennsylvani
a that investigated seasonal N dynamics in corn (Zea mays L.) provided
with N as liquid dairy manure or as NH4NO3. Seasonal soil NO3 concent
ration in the upper soil layer, seasonal aboveground N accumulation by
corn, and water leached past 1.2 m during the second year of the stud
y were used to calibrate input values controlling soil water flow and
NO3 production from mineralization of soil organic N sources. The vali
dation of NCSWAP identified several limitations in the water flow and
C and N cycling submodels as well as in the potential of the model to
simulate seasonal N dynamics in corn. Validation simulations were abou
t as accurate as calibration simulations, reflecting the ability of th
e model to simulate C and N dynamics without recalibration from year t
o year. Much of the simulation error was related to an overestimation
of NO3 leaching caused by the inability of the model's microporous flo
w submodel to simulate the macropore-influenced water flow in the well
-structured soil used in the validation.