Formulation of Indices to Describe Intrinsic Nitrogen Transformation Rates for the Implementation of Best Management Practices in Agricultural Lands

被引:18
|
作者
Aschonitis, V. G. [1 ]
Salemi, E. [2 ]
Colombani, N. [2 ]
Castaldelli, G. [1 ]
Mastrocicco, M. [2 ]
机构
[1] Univ Ferrara, Dept Biol & Evolut, I-44100 Ferrara, Italy
[2] Univ Ferrara, Dept Phys & Earth Sci, I-44100 Ferrara, Italy
来源
WATER AIR AND SOIL POLLUTION | 2013年 / 224卷 / 03期
关键词
Denitrification; Ammonia volatilization; Mineralization; Nitrification; GIS; GLEAMS model; UNITED-STATES; ROOT-ZONE; SOIL; NITRATE; WATER; POLLUTION; NUTRIENT; CARBON; MODEL; MINERALIZATION;
D O I
10.1007/s11270-013-1489-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The aim of this study is to expand the family of LOS indices for the assessment of the intrinsic nitrogen (N) transformation rates of mineralization, nitrification, denitrification, and ammonia volatilization in agricultural lands. The new indices are added to the two existing ones, which concern N losses through percolation and runoff, in order to provide an integrated aspect of the N budget components of each region based on its intrinsic properties by excluding external factors (e. g., agricultural practices, different crops). This provides a common basis for the classification of N processes' dynamics, since they are expressed in units connected to intensity classes, allowing comparisons among different regions. Their calibration is based on non-linear regression analysis using as "observed values" the simulation results of the GLEAMS model from a theoretical reference field crop. Their combination is used for the assessment of the total annual intrinsic rate of N losses and the degree of fertilization failure, which are calculated as secondary indices. The indices can be applied in a GIS environment with easily accessible data and allow the designation of site-specific best management practices (BMPs) to diminish N losses. Finally, a case study in Ferrara Province in Italy is presented in order to highlight the potentiality of these indices to describe the intrinsic N budget components of the agricultural ecosystems and to support BMPs.
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页数:14
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