The objectives of the research were to: fulfil the
preliminary assessment of the sensitivity of the soil, water, atmosphere,
and plant and denitrification and decomposition models to
variations of climate variables based on the existing soil database;
validate the soil, water, atmosphere, and plant and denitrification
and decomposition modelled outcomes against measured records
for soil temperature and water content. The statistical analyses
were conducted by the sensitivity analysis, Nash-Sutcliffe efficiency
coefficients and root mean square error using measured and
modelled variables during three growing seasons. Results of sensitivity
analysis demonstrated that: soil temperatures predicted by
the soil, water, atmosphere, and plant model showed a more reliable
sensitivity to the variations of input air temperatures; soil
water content predicted by the denitrification and decomposition
model had a better reliability in the sensitivity to daily precipitation
changes. The root mean square errors and Nash-Sutcliffe efficiency
coefficients demonstrated that: the soil, water, atmosphere,
and plant model had a better efficiency in predicting seasonal
dynamics of soil temperatures than the denitrification and decomposition
model; and among two studied models, the denitrification
and decomposition model showed a better capability in predicting
the seasonal dynamics of soil water content.
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