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Simulating nitrate leaching under crops fertilized with pig slurry in lysimeters

Identifieur interne : 001118 ( Istex/Corpus ); précédent : 001117; suivant : 001119

Simulating nitrate leaching under crops fertilized with pig slurry in lysimeters

Auteurs : R. Marchetti ; G. Ponzoni ; P. Spallacci

Source :

RBID : ISTEX:A0F97010BF4BD1BF7EC9EBFCDA15A77020126BA1

English descriptors

Abstract

Abstract. Regions in the Po Valley, Northern Italy, are characterized by intensive crop‐livestock farming systems. A simulation model has been chosen for an inter‐regional project, which should help in defining groundwater vulnerability and pollution risk on a regional scale, in relation to agricultural land use, by allowing the prediction of nitrate leaching under different climate, soil, crop and management scenarios. The model derives from the coupling of a hydrological model, MACRO, simulating water flow and solute transport in structured soils, with a model simulating soil N dynamics, SOILN. The aim of this work was to test the model's ability to simulate nitrate leaching through soil after land spreading of pig slurries. A dataset obtained from lysimeter experiments which had been carried out in the period 1976–1981 was used for this purpose. Four soil types were compared (silty clay, sandy loam, loam and sand) in factorial combination with four rates of pig slurry (0, 142, 284, 426 g of N m–2, accumulated values from 1976 to 1979) for a seven crop sequence. The efficiency of the MACRO model ranged from 0.96, in the sandy‐loam soil, to 0.81, in the sand. Percolation was usually under‐estimated, the relative error ranging from 0.7 to 14.6, depending on the soil. The low efficiency of the SOILN model in simulating nitrate leaching is attributed to the lack of knowledge of the mechanisms regulating N transformation processes and especially the mineralization of pig slurry N. This lack of knowledge hampers the correct setting of the N transformation parameter values. A remarkable improvement of the model's performance was obtained by changing a few coefficients which control the mineralization‐immobilization turnover of the faeces‐organic N. The model efficiency, following this recalibration, ranged from –0.62 to 0.84, and the relative error ranged from –56 to 35, depending on soil and treatment. N leaching was under‐estimated at the low pig slurry N application rates and over‐estimated at the high ones.

Url:
DOI: 10.1111/j.1475-2743.2001.tb00034.x

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ISTEX:A0F97010BF4BD1BF7EC9EBFCDA15A77020126BA1

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<b>Abstract. </b>
Regions in the Po Valley, Northern Italy, are characterized by intensive crop‐livestock farming systems. A simulation model has been chosen for an inter‐regional project, which should help in defining groundwater vulnerability and pollution risk on a regional scale, in relation to agricultural land use, by allowing the prediction of nitrate leaching under different climate, soil, crop and management scenarios. The model derives from the coupling of a hydrological model, MACRO, simulating water flow and solute transport in structured soils, with a model simulating soil N dynamics, SOILN. The aim of this work was to test the model's ability to simulate nitrate leaching through soil after land spreading of pig slurries. A dataset obtained from lysimeter experiments which had been carried out in the period 1976–1981 was used for this purpose. Four soil types were compared (silty clay, sandy loam, loam and sand) in factorial combination with four rates of pig slurry (0, 142, 284, 426 g of N m
<sup>–2</sup>
, accumulated values from 1976 to 1979) for a seven crop sequence. The efficiency of the MACRO model ranged from 0.96, in the sandy‐loam soil, to 0.81, in the sand. Percolation was usually under‐estimated, the relative error ranging from 0.7 to 14.6, depending on the soil. The low efficiency of the SOILN model in simulating nitrate leaching is attributed to the lack of knowledge of the mechanisms regulating N transformation processes and especially the mineralization of pig slurry N. This lack of knowledge hampers the correct setting of the N transformation parameter values. A remarkable improvement of the model's performance was obtained by changing a few coefficients which control the mineralization‐immobilization turnover of the faeces‐organic N. The model efficiency, following this recalibration, ranged from –0.62 to 0.84, and the relative error ranged from –56 to 35, depending on soil and treatment. N leaching was under‐estimated at the low pig slurry N application rates and over‐estimated at the high ones.</p>
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<title>Simulating nitrate leaching under crops fertilized with pig slurry in lysimeters</title>
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<title>Simulating nitrate leaching under crops fertilized with pig slurry in lysimeters</title>
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<name type="personal">
<namePart type="given">R.</namePart>
<namePart type="family">Marchetti</namePart>
<affiliation>Agronomical Research Institute (ISA), Sec. of Modena, Viale Caduti in Guerra, 134, I–41100 Modena, Italy</affiliation>
<affiliation>E-mail: rosamar@pianeta.it</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">G.</namePart>
<namePart type="family">Ponzoni</namePart>
<affiliation>Consultant, Regione Emilia Romagna, Soil Bureau, Viale Silvani, 4/3, I–40122 Bologna, Italy</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">P.</namePart>
<namePart type="family">Spallacci</namePart>
<affiliation>Agronomical Research Institute (ISA), Sec. of Modena, Viale Caduti in Guerra, 134, I–41100 Modena, Italy</affiliation>
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<dateIssued encoding="w3cdtf">2001-12</dateIssued>
<edition>Received December 2000, accepted after revision June 2001.</edition>
<copyrightDate encoding="w3cdtf">2001</copyrightDate>
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<abstract>Abstract. Regions in the Po Valley, Northern Italy, are characterized by intensive crop‐livestock farming systems. A simulation model has been chosen for an inter‐regional project, which should help in defining groundwater vulnerability and pollution risk on a regional scale, in relation to agricultural land use, by allowing the prediction of nitrate leaching under different climate, soil, crop and management scenarios. The model derives from the coupling of a hydrological model, MACRO, simulating water flow and solute transport in structured soils, with a model simulating soil N dynamics, SOILN. The aim of this work was to test the model's ability to simulate nitrate leaching through soil after land spreading of pig slurries. A dataset obtained from lysimeter experiments which had been carried out in the period 1976–1981 was used for this purpose. Four soil types were compared (silty clay, sandy loam, loam and sand) in factorial combination with four rates of pig slurry (0, 142, 284, 426 g of N m–2, accumulated values from 1976 to 1979) for a seven crop sequence. The efficiency of the MACRO model ranged from 0.96, in the sandy‐loam soil, to 0.81, in the sand. Percolation was usually under‐estimated, the relative error ranging from 0.7 to 14.6, depending on the soil. The low efficiency of the SOILN model in simulating nitrate leaching is attributed to the lack of knowledge of the mechanisms regulating N transformation processes and especially the mineralization of pig slurry N. This lack of knowledge hampers the correct setting of the N transformation parameter values. A remarkable improvement of the model's performance was obtained by changing a few coefficients which control the mineralization‐immobilization turnover of the faeces‐organic N. The model efficiency, following this recalibration, ranged from –0.62 to 0.84, and the relative error ranged from –56 to 35, depending on soil and treatment. N leaching was under‐estimated at the low pig slurry N application rates and over‐estimated at the high ones.</abstract>
<subject lang="en">
<genre>keywords</genre>
<topic>Models</topic>
<topic>nitrates</topic>
<topic>leaching</topic>
<topic>pig slurry</topic>
<topic>animal wastes</topic>
<topic>lysimeters</topic>
</subject>
<relatedItem type="host">
<titleInfo>
<title>Soil Use and Management</title>
</titleInfo>
<genre type="journal">journal</genre>
<identifier type="ISSN">0266-0032</identifier>
<identifier type="eISSN">1475-2743</identifier>
<identifier type="DOI">10.1111/(ISSN)1475-2743</identifier>
<identifier type="PublisherID">SUM</identifier>
<part>
<date>2001</date>
<detail type="volume">
<caption>vol.</caption>
<number>17</number>
</detail>
<detail type="issue">
<caption>no.</caption>
<number>4</number>
</detail>
<extent unit="pages">
<start>245</start>
<end>253</end>
<total>9</total>
</extent>
</part>
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<identifier type="DOI">10.1111/j.1475-2743.2001.tb00034.x</identifier>
<identifier type="ArticleID">SUM245</identifier>
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<recordOrigin>Blackwell Publishing Ltd</recordOrigin>
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