If. Creed et Le. Band, EXPORT OF NITROGEN FROM CATCHMENTS WITHIN A TEMPERATE FOREST - EVIDENCE FOR A UNIFYING MECHANISM REGULATED BY VARIABLE SOURCE AREA DYNAMICS, Water resources research, 34(11), 1998, pp. 3105-3120
Considerable variation in the export of dissolved inorganic nitrogen (
DIN) and dissolved organic nitrogen (DON) was observed among catchment
s located within an old-growth sugar maple forest in central Ontario.
Although discharge was a strong predictor of N-export, rates of export
were variable for each catchment, ranging from -50% to +50% from the
catchment-average response for DIN and -25% to +25% from the catchment
-average response for DON. Among the catchments, a unifying flushing b
ehavior was apparent for NO3--N, the dominant form of DIN in the disch
arge waters, providing a basis for explaining the variation in the exp
ort of DIN. Flushing occurs when a water table rises to the soil surfa
ce with subsequent mobilization of nutrients stored near or at the soi
l surface to surface waters. Catchment-specific flushing behaviors wer
e captured in ''flushing'' characteristic time constants, defined as t
he time interval required for a decline in N concentrations in dischar
ge waters to e(-1) (37%) of their initial concentration. Variation in
flushing behavior was linked to variation in N export; catchments with
short flushing times (interpreted as catchments with source areas tha
t are less variable) were observed to export less N than catchments wi
th long flushing times (source areas that are more variable). A hypoth
esis was formulated in which catchment topography and its influence on
variable source area dynamics accounts for variation in flushing beha
vior, hence variation in the export of NO3--N among the catchments. Th
e implication of this hypothesis is that to predict accurately the exp
ort of NO3--N from catchments within a landscape, we need first to con
sider the influence of the topographic complexity of the catchments. O
ur understanding of the mechanisms of processing and export of DON is
not sufficient for accurate prediction at this point, highlighting the
need for additional research on DON.