Mjd. Hacktenbroeke et Ahj. Vanderputten, NITRATE LEACHING AFFECTED BY MANAGEMENT OPTIONS WITH RESPECT TO URINE-AFFECTED AREAS AND GROUNDWATER LEVELS FOR GRAZED GRASSLAND, Agriculture, ecosystems & environment, 66(3), 1997, pp. 197-210
Simulations were performed to quantify the effects of management optio
ns on nitrate leaching to the groundwater in grazed pastures. At the e
xperimental farm for sustainable dairy farming 'De Marke', experimenta
l data on soil water and nitrates were gathered for two fields during
the years 1991-1995. These data were used for model validation. The si
mulations showed that a detailed type of precision agriculture, which
can identify urine-affected areas in the field and then subsequently o
mit fertilizing such areas, resulted in considerable reductions of sim
ulated nitrate concentrations in the soil water, especially on an inte
nsively grazed and relatively dry site with groundwater levels between
0.5 and 2.5 m. On the wetter site, the maximum calculated reduction i
n nitrate concentrations was 11%, but for the relatively dry site the
maximum calculated reduction was as high as 41%. The second simulated
option involved the raising of groundwater levels, which usually also
resulted in a decrease in simulated nitrate concentrations. Under wet
conditions, the groundwater level increase may cause water excess and
a deterioration in conditions for crop growth and thus, less N-uptake
by the crop, which would ultimately lead to increased nitrate leaching
. The combined effect of non-fertilization of urine patches and the ra
ising of groundwater levels usually resulted in higher simulated reduc
tions of nitrate concentrations than the single options. When the effe
ct of within-field variability was also considered, the raising of gro
undwater levels was most effective in reducing nitrate concentrations
on the wet site, while on the relatively dry and intensively used site
, the non-fertilization of urine-affected areas had the dominant effec
t. The study shows how simulation modelling can assist in identifying
promising management strategies. (C) 1997 Elsevier Science B.V.