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Extended statistical entropy analysis for the evaluation of nitrogen budgets in Austria
Extended statistical entropy analysis (eSEA) is used to evaluate the nitrogen (N) budgets of two Austrian catchments, the Wulka and the Ybbs, and of entire Austria. The eSEA quantifies the extent of N dispersion in the environment. The results from the eSEA are compared to the corresponding N use ef...
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Published in: | International journal of environmental science and technology (Tehran) 2015-07, Vol.11 (7) |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Extended statistical entropy analysis (eSEA) is used to evaluate the
nitrogen (N) budgets of two Austrian catchments, the Wulka and the
Ybbs, and of entire Austria. The eSEA quantifies the extent of N
dispersion in the environment. The results from the eSEA are compared
to the corresponding N use efficiencies (NUEs). Application of the eSEA
reveals that the Ybbs catchment, compared to the Wulka catchment leads
to a greater extent of N dispersion, primarily as a result of increased
losses of N compounds to the atmosphere and in leachates to the
groundwater. The NUE in the Wulka catchment, at 63 %, is substantially
higher than that in the Ybbs catchment, at 43 %, and confirms a more
efficient N use in Wulka. Furthermore, it is shown that the adoption of
a healthy, balanced diet, as defined by the German Nutrition Society,
changes the N budget of Austria in a way that significantly reduces the
dispersion of N. Decreased N losses to the atmosphere and to the
groundwater are primarily responsible for this result. The national NUE
of Austria responds only moderately to the adoption of such a diet
increasing from 48 to 53 % and leads to statistically insignificant
results if the uncertainty of the input data is taken into account.
This study demonstrates the effectiveness of eSEA for the evaluation of
N budgets in agricultural regions and suggests that statistical entropy
can serve as a reliable agri-environmental indicator to support
decisions regarding nutrient management. |
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ISSN: | 1735-1472 |