『Abstract
Catchment nitrogen (N) budgets are a valuable tool to assess
relative magnitude of N inputs and predict losses via riverine
export. However, a range of computational approaches may be chosen,
potentially affecting the modeled relationship between inputs
and exports. To determine the influence of various assumptions
and computational details on the effectiveness of N input estimates
in predicting riverine N export, we compared eight separate net
anthropogenic N input budgets and one soils compartment budget
for each of 18 Lake Michigan catchments. N input estimation methods
that took into account seasonal fluctuations in livestock numbers
and estimated crop N-fixation by legume yield rather than area
harvested best predicted river N export. The average annual river
export of N from the 18 catchments ranged from less than 300 kg
N km-2 year-1 in forested areas to more
than 800 kg-N km-2 year-1 in agricultural
catchments and 1,580 kg-N km-2 year-1 in
small urban catchments. Using the most effective model (R2=0.95,
median prediction error = 1.8%) riverine N exports were found
to account for 21% of N inputs. Other methods predicted riverine
N exports less well (R2=0.61-0.73), bias was greater,
and the fractional export of N inputs by rivers decreased to 〜13%.
The soil N budget also was a less effective predictor of river
export. This comparison demonstrates that N budgeting that incorporates
more detailed description of agricultural N sources can substantially
improve prediction of riverine N exports from catchments with
a wide range of landscape characteristics.
Keywords: Nitrogen; NANI; N Export; River; Catchment; Nutrient
budget; Nutrient loading; Lake Michigan』
Introduction
Methods
Study area
Nitrogen budgets
N fertilizer inputs
Total atmospheric N deposition
Net trade of N in food and feed
Animal N mature and NH3 volatilization
Crop N fixation
Data aggregation and final budgets
Riverine TN concentrations and fluxes
Statistical analysis
Results
Crop N fixation
Fertilizer
Net atmospheric N deposition
Net import of N in food and feed
Comparison of N input estimates
Relationship between N inputs and riverine TN export
Discussion
Comparison of methods of N input estimation
Prediction of river export from alternative N budgets
Factors influencing the relationship between catchment N input
and river export
Acknowledgments
References