Assessment of soil erosion vulnerability in western Europe and potential impact on crop productivity due to loss of soil depth using the ImpelERO model
Identifieur interne : 000A98 ( Istex/Corpus ); précédent : 000A97; suivant : 000A99Assessment of soil erosion vulnerability in western Europe and potential impact on crop productivity due to loss of soil depth using the ImpelERO model
Auteurs : D. De La Rosa ; J. A. Moreno ; F. Mayol ; T. Bons NSource :
- Agriculture, Ecosystems and Environment [ 0167-8809 ] ; 2000.
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Abstract
Soil erosion continues to be a major concern for the development of sustainable agricultural management systems. Sustainability modelling analysis for soil erosion must include not only vulnerability prediction but also address impact and response assessment, in an integrated way. This paper focuses on the impact of soil erosion on crop productivity and the accommodation of agricultural use and management practices to soil protection. From the Andalucia region in Spain, soil/slope, climate and crop/management information was used to further develop an expert-system/neural-network soil erosion predicting model (named ImpelERO). Based on soil tolerance to water erosion, three regression equations were formulated to examine the effects of soil depth loss on crop productivity reduction. Also, a computerised procedure was developed to find a combination of management practices which would minimise soil loss in each field-unit. The overall approach of ImpelERO was applied in 20 selected benchmark sites from western Europe to quantify the soil erosion vulnerability with several crops, the impact of soil erosion on crop production, and the optimum management strategies. In the Mediterranean sites, soil losses reach an average of almost 50Mgha−1 per year, the potential impact of soil erosion on the crop productivity was very important (up to 48% reduction in the 2050 time horizon), and the farming practices can be widely modified to protect environmental qualities. The results of this benchmark site analysis of soil erosion, however, must not be extrapolated to large geographical areas without additional spatialisation studies.
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DOI: 10.1016/S0167-8809(00)00161-4
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Box 1052, 41080 Sevilla, Spain</mods:affiliation></affiliation></author><author><name sortKey="Mayol, F" sort="Mayol, F" uniqKey="Mayol F" first="F." last="Mayol">F. Mayol</name><affiliation><mods:affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</mods:affiliation></affiliation></author><author><name sortKey="Bons N, T" sort="Bons N, T" uniqKey="Bons N T" first="T." last="Bons N">T. Bons N</name><affiliation><mods:affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:EB8A019645A259CD954D13F67FE4C17688475D3B</idno><date when="2000" year="2000">2000</date><idno type="doi">10.1016/S0167-8809(00)00161-4</idno><idno type="url">https://api.istex.fr/document/EB8A019645A259CD954D13F67FE4C17688475D3B/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000A98</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000A98</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Assessment of soil erosion vulnerability in western Europe and potential impact on crop productivity due to loss of soil depth using the ImpelERO model</title><author><name sortKey="De La Rosa, D" sort="De La Rosa, D" uniqKey="De La Rosa D" first="D." last="De La Rosa">D. De La Rosa</name><affiliation><mods:affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: diego@irnase.csic.es</mods:affiliation></affiliation></author><author><name sortKey="Moreno, J A" sort="Moreno, J A" uniqKey="Moreno J" first="J. A." last="Moreno">J. A. Moreno</name><affiliation><mods:affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</mods:affiliation></affiliation></author><author><name sortKey="Mayol, F" sort="Mayol, F" uniqKey="Mayol F" first="F." last="Mayol">F. Mayol</name><affiliation><mods:affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</mods:affiliation></affiliation></author><author><name sortKey="Bons N, T" sort="Bons N, T" uniqKey="Bons N T" first="T." last="Bons N">T. Bons N</name><affiliation><mods:affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Agriculture, Ecosystems and Environment</title><title level="j" type="abbrev">AGEE</title><idno type="ISSN">0167-8809</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000">2000</date><biblScope unit="volume">81</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="179">179</biblScope><biblScope unit="page" to="190">190</biblScope></imprint><idno type="ISSN">0167-8809</idno></series><idno type="istex">EB8A019645A259CD954D13F67FE4C17688475D3B</idno><idno type="DOI">10.1016/S0167-8809(00)00161-4</idno><idno type="PII">S0167-8809(00)00161-4</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0167-8809</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Andalucia region</term><term>Crop productivity</term><term>Expert system</term><term>Farming by soil</term><term>Neural network</term><term>Quantifying soil loss</term><term>Water erosion</term><term>Western Europe</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Soil erosion continues to be a major concern for the development of sustainable agricultural management systems. Sustainability modelling analysis for soil erosion must include not only vulnerability prediction but also address impact and response assessment, in an integrated way. This paper focuses on the impact of soil erosion on crop productivity and the accommodation of agricultural use and management practices to soil protection. From the Andalucia region in Spain, soil/slope, climate and crop/management information was used to further develop an expert-system/neural-network soil erosion predicting model (named ImpelERO). Based on soil tolerance to water erosion, three regression equations were formulated to examine the effects of soil depth loss on crop productivity reduction. Also, a computerised procedure was developed to find a combination of management practices which would minimise soil loss in each field-unit. The overall approach of ImpelERO was applied in 20 selected benchmark sites from western Europe to quantify the soil erosion vulnerability with several crops, the impact of soil erosion on crop production, and the optimum management strategies. In the Mediterranean sites, soil losses reach an average of almost 50Mgha−1 per year, the potential impact of soil erosion on the crop productivity was very important (up to 48% reduction in the 2050 time horizon), and the farming practices can be widely modified to protect environmental qualities. The results of this benchmark site analysis of soil erosion, however, must not be extrapolated to large geographical areas without additional spatialisation studies.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>D. de la Rosa</name><affiliations><json:string>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</json:string><json:string>E-mail: diego@irnase.csic.es</json:string></affiliations></json:item><json:item><name>J.A. Moreno</name><affiliations><json:string>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</json:string></affiliations></json:item><json:item><name>F. Mayol</name><affiliations><json:string>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</json:string></affiliations></json:item><json:item><name>T. Bonsón</name><affiliations><json:string>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Water erosion</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Quantifying soil loss</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Crop productivity</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Farming by soil</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Expert system</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Neural network</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Andalucia region</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Western Europe</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>Soil erosion continues to be a major concern for the development of sustainable agricultural management systems. Sustainability modelling analysis for soil erosion must include not only vulnerability prediction but also address impact and response assessment, in an integrated way. This paper focuses on the impact of soil erosion on crop productivity and the accommodation of agricultural use and management practices to soil protection. From the Andalucia region in Spain, soil/slope, climate and crop/management information was used to further develop an expert-system/neural-network soil erosion predicting model (named ImpelERO). Based on soil tolerance to water erosion, three regression equations were formulated to examine the effects of soil depth loss on crop productivity reduction. Also, a computerised procedure was developed to find a combination of management practices which would minimise soil loss in each field-unit. The overall approach of ImpelERO was applied in 20 selected benchmark sites from western Europe to quantify the soil erosion vulnerability with several crops, the impact of soil erosion on crop production, and the optimum management strategies. In the Mediterranean sites, soil losses reach an average of almost 50Mgha−1 per year, the potential impact of soil erosion on the crop productivity was very important (up to 48% reduction in the 2050 time horizon), and the farming practices can be widely modified to protect environmental qualities. The results of this benchmark site analysis of soil erosion, however, must not be extrapolated to large geographical areas without additional spatialisation studies.</abstract><qualityIndicators><score>7.488</score><pdfVersion>1.2</pdfVersion><pdfPageSize>612 x 792 pts (letter)</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>8</keywordCount><abstractCharCount>1646</abstractCharCount><pdfWordCount>4608</pdfWordCount><pdfCharCount>31138</pdfCharCount><pdfPageCount>12</pdfPageCount><abstractWordCount>240</abstractWordCount></qualityIndicators><title>Assessment of soil erosion vulnerability in western Europe and potential impact on crop productivity due to loss of soil depth using the ImpelERO model</title><pii><json:string>S0167-8809(00)00161-4</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>81</volume><pii><json:string>S0167-8809(00)X0069-2</json:string></pii><pages><last>190</last><first>179</first></pages><issn><json:string>0167-8809</json:string></issn><issue>3</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Agriculture, Ecosystems and Environment</title><publicationDate>2000</publicationDate></host><categories><wos><json:string>science</json:string><json:string>environmental sciences</json:string><json:string>ecology</json:string><json:string>agriculture, multidisciplinary</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>agriculture, fisheries & forestry</json:string><json:string>agronomy & agriculture</json:string></scienceMetrix></categories><publicationDate>2000</publicationDate><copyrightDate>2000</copyrightDate><doi><json:string>10.1016/S0167-8809(00)00161-4</json:string></doi><id>EB8A019645A259CD954D13F67FE4C17688475D3B</id><score>0.039769143</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/EB8A019645A259CD954D13F67FE4C17688475D3B/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/EB8A019645A259CD954D13F67FE4C17688475D3B/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/EB8A019645A259CD954D13F67FE4C17688475D3B/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Assessment of soil erosion vulnerability in western Europe and potential impact on crop productivity due to loss of soil depth using the ImpelERO model</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©2000 Elsevier Science B.V.</p></availability><date>2000</date></publicationStmt><notesStmt><note type="content">Fig. 1: Location of the modelling area: Andalucia, and the selected 20 benchmark sites for application within the three biogeographycal regions of western Europe.</note><note type="content">Fig. 2: General scheme of the automated neural-network-based search and the decision trees backtracking to accommodate the management practices (MQs=management qualities) to a percent of soil erosion reduction, where Va=actual vulnerability index, Vt=target vulnerability index, R=desired vulnerability reduction and Vj=possible vulnerabilities for fixed land qualities (LQs).</note><note type="content">Fig. 3: Productivity changes with the time horizon for the 34 testing field-units in Andalucia region. The average soil loss rates were calculated: 29Mgha−1 per year for 13 soils of the group A, 16Mgha−1 per year for 10 soils of the group B, and 37Mgha−1 per year for 11 soils of the group C.</note><note type="content">Table 1: Relation of selected benchmark sites within the corresponding biogeographical regions in Europe, for applying the ImpelERO model</note><note type="content">Table 2: Agricultural management practices for farming the testing crops, and assumed to be used in the selected European benchmark sites</note><note type="content">Table 3: Results of the CORINE and ImpelERO soil erosion models application to the selected European benchmark sitesa</note><note type="content">Table 4: Results of long-term productivity reduction predicted by the ImpelERO model, in three simulated time horizons, for winter wheat cropa</note><note type="content">Table 5: Recommended management for winter wheat to reduce soil erosion vulnerability by application of the ImpelERO model</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Assessment of soil erosion vulnerability in western Europe and potential impact on crop productivity due to loss of soil depth using the ImpelERO model</title><author xml:id="author-1"><persName><forename type="first">D.</forename><surname>de la Rosa</surname></persName><email>diego@irnase.csic.es</email><note type="correspondence"><p>Corresponding author. Tel.: +34-954-624711; fax: +34-954-624002</p></note><affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</affiliation></author><author xml:id="author-2"><persName><forename type="first">J.A.</forename><surname>Moreno</surname></persName><affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</affiliation></author><author xml:id="author-3"><persName><forename type="first">F.</forename><surname>Mayol</surname></persName><affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</affiliation></author><author xml:id="author-4"><persName><forename type="first">T.</forename><surname>Bonsón</surname></persName><affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</affiliation></author></analytic><monogr><title level="j">Agriculture, Ecosystems and Environment</title><title level="j" type="abbrev">AGEE</title><idno type="pISSN">0167-8809</idno><idno type="PII">S0167-8809(00)X0069-2</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000"></date><biblScope unit="volume">81</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="179">179</biblScope><biblScope unit="page" to="190">190</biblScope></imprint></monogr><idno type="istex">EB8A019645A259CD954D13F67FE4C17688475D3B</idno><idno type="DOI">10.1016/S0167-8809(00)00161-4</idno><idno type="PII">S0167-8809(00)00161-4</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2000</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Soil erosion continues to be a major concern for the development of sustainable agricultural management systems. Sustainability modelling analysis for soil erosion must include not only vulnerability prediction but also address impact and response assessment, in an integrated way. This paper focuses on the impact of soil erosion on crop productivity and the accommodation of agricultural use and management practices to soil protection. From the Andalucia region in Spain, soil/slope, climate and crop/management information was used to further develop an expert-system/neural-network soil erosion predicting model (named ImpelERO). Based on soil tolerance to water erosion, three regression equations were formulated to examine the effects of soil depth loss on crop productivity reduction. Also, a computerised procedure was developed to find a combination of management practices which would minimise soil loss in each field-unit. The overall approach of ImpelERO was applied in 20 selected benchmark sites from western Europe to quantify the soil erosion vulnerability with several crops, the impact of soil erosion on crop production, and the optimum management strategies. In the Mediterranean sites, soil losses reach an average of almost 50Mgha−1 per year, the potential impact of soil erosion on the crop productivity was very important (up to 48% reduction in the 2050 time horizon), and the farming practices can be widely modified to protect environmental qualities. The results of this benchmark site analysis of soil erosion, however, must not be extrapolated to large geographical areas without additional spatialisation studies.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>Water erosion</term></item><item><term>Quantifying soil loss</term></item><item><term>Crop productivity</term></item><item><term>Farming by soil</term></item><item><term>Expert system</term></item><item><term>Neural network</term></item><item><term>Andalucia region</term></item><item><term>Western Europe</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1999-12-13">Modified</change><change when="2000">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/EB8A019645A259CD954D13F67FE4C17688475D3B/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: ce:floats; body; tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"><istex:entity SYSTEM="gr1" NDATA="IMAGE" name="gr1"></istex:entity><istex:entity SYSTEM="gr2" NDATA="IMAGE" name="gr2"></istex:entity><istex:entity SYSTEM="gr3" NDATA="IMAGE" name="gr3"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla" xml:lang="en"><item-info><jid>AGEE</jid><aid>1590</aid><ce:pii>S0167-8809(00)00161-4</ce:pii><ce:doi>10.1016/S0167-8809(00)00161-4</ce:doi><ce:copyright type="full-transfer" year="2000">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>Assessment of soil erosion vulnerability in western Europe and potential impact on crop productivity due to loss of soil depth using the ImpelERO model</ce:title><ce:author-group><ce:author><ce:given-name>D.</ce:given-name><ce:surname>de la Rosa</ce:surname><ce:cross-ref refid="CORR1">*</ce:cross-ref><ce:e-address>diego@irnase.csic.es</ce:e-address></ce:author><ce:author><ce:given-name>J.A.</ce:given-name><ce:surname>Moreno</ce:surname></ce:author><ce:author><ce:given-name>F.</ce:given-name><ce:surname>Mayol</ce:surname></ce:author><ce:author><ce:given-name>T.</ce:given-name><ce:surname>Bonsón</ce:surname></ce:author><ce:affiliation><ce:textfn>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Tel.: +34-954-624711; fax: +34-954-624002</ce:text></ce:correspondence></ce:author-group><ce:date-received day="22" month="7" year="1999"></ce:date-received><ce:date-revised day="13" month="12" year="1999"></ce:date-revised><ce:date-accepted day="28" month="3" year="2000"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>Soil erosion continues to be a major concern for the development of sustainable agricultural management systems. Sustainability modelling analysis for soil erosion must include not only vulnerability prediction but also address impact and response assessment, in an integrated way. This paper focuses on the impact of soil erosion on crop productivity and the accommodation of agricultural use and management practices to soil protection. From the Andalucia region in Spain, soil/slope, climate and crop/management information was used to further develop an expert-system/neural-network soil erosion predicting model (named ImpelERO). Based on soil tolerance to water erosion, three regression equations were formulated to examine the effects of soil depth loss on crop productivity reduction. Also, a computerised procedure was developed to find a combination of management practices which would minimise soil loss in each field-unit. The overall approach of ImpelERO was applied in 20 selected benchmark sites from western Europe to quantify the soil erosion vulnerability with several crops, the impact of soil erosion on crop production, and the optimum management strategies. In the Mediterranean sites, soil losses reach an average of almost 50<ce:hsp sp="0.25"></ce:hsp>Mg<ce:hsp sp="0.25"></ce:hsp>ha<ce:sup>−1</ce:sup> per year, the potential impact of soil erosion on the crop productivity was very important (up to 48% reduction in the 2050 time horizon), and the farming practices can be widely modified to protect environmental qualities. The results of this benchmark site analysis of soil erosion, however, must not be extrapolated to large geographical areas without additional spatialisation studies.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword" xml:lang="en"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Water erosion</ce:text></ce:keyword><ce:keyword><ce:text>Quantifying soil loss</ce:text></ce:keyword><ce:keyword><ce:text>Crop productivity</ce:text></ce:keyword><ce:keyword><ce:text>Farming by soil</ce:text></ce:keyword><ce:keyword><ce:text>Expert system</ce:text></ce:keyword><ce:keyword><ce:text>Neural network</ce:text></ce:keyword><ce:keyword><ce:text>Andalucia region</ce:text></ce:keyword><ce:keyword><ce:text>Western Europe</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Assessment of soil erosion vulnerability in western Europe and potential impact on crop productivity due to loss of soil depth using the ImpelERO model</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>Assessment of soil erosion vulnerability in western Europe and potential impact on crop productivity due to loss of soil depth using the ImpelERO model</title></titleInfo><name type="personal"><namePart type="given">D.</namePart><namePart type="family">de la Rosa</namePart><affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</affiliation><affiliation>E-mail: diego@irnase.csic.es</affiliation><description>Corresponding author. Tel.: +34-954-624711; fax: +34-954-624002</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J.A.</namePart><namePart type="family">Moreno</namePart><affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">F.</namePart><namePart type="family">Mayol</namePart><affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">T.</namePart><namePart type="family">Bonsón</namePart><affiliation>Instituto de Recursos Naturales y Agrobiologı́a de Sevilla (IRNAS), Consejo Superior de Investigaciones Cientı́ficas (CSIC), P.O. Box 1052, 41080 Sevilla, Spain</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">2000</dateIssued><dateModified encoding="w3cdtf">1999-12-13</dateModified><copyrightDate encoding="w3cdtf">2000</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Soil erosion continues to be a major concern for the development of sustainable agricultural management systems. Sustainability modelling analysis for soil erosion must include not only vulnerability prediction but also address impact and response assessment, in an integrated way. This paper focuses on the impact of soil erosion on crop productivity and the accommodation of agricultural use and management practices to soil protection. From the Andalucia region in Spain, soil/slope, climate and crop/management information was used to further develop an expert-system/neural-network soil erosion predicting model (named ImpelERO). Based on soil tolerance to water erosion, three regression equations were formulated to examine the effects of soil depth loss on crop productivity reduction. Also, a computerised procedure was developed to find a combination of management practices which would minimise soil loss in each field-unit. The overall approach of ImpelERO was applied in 20 selected benchmark sites from western Europe to quantify the soil erosion vulnerability with several crops, the impact of soil erosion on crop production, and the optimum management strategies. In the Mediterranean sites, soil losses reach an average of almost 50Mgha−1 per year, the potential impact of soil erosion on the crop productivity was very important (up to 48% reduction in the 2050 time horizon), and the farming practices can be widely modified to protect environmental qualities. The results of this benchmark site analysis of soil erosion, however, must not be extrapolated to large geographical areas without additional spatialisation studies.</abstract><note type="content">Fig. 1: Location of the modelling area: Andalucia, and the selected 20 benchmark sites for application within the three biogeographycal regions of western Europe.</note><note type="content">Fig. 2: General scheme of the automated neural-network-based search and the decision trees backtracking to accommodate the management practices (MQs=management qualities) to a percent of soil erosion reduction, where Va=actual vulnerability index, Vt=target vulnerability index, R=desired vulnerability reduction and Vj=possible vulnerabilities for fixed land qualities (LQs).</note><note type="content">Fig. 3: Productivity changes with the time horizon for the 34 testing field-units in Andalucia region. The average soil loss rates were calculated: 29Mgha−1 per year for 13 soils of the group A, 16Mgha−1 per year for 10 soils of the group B, and 37Mgha−1 per year for 11 soils of the group C.</note><note type="content">Table 1: Relation of selected benchmark sites within the corresponding biogeographical regions in Europe, for applying the ImpelERO model</note><note type="content">Table 2: Agricultural management practices for farming the testing crops, and assumed to be used in the selected European benchmark sites</note><note type="content">Table 3: Results of the CORINE and ImpelERO soil erosion models application to the selected European benchmark sitesa</note><note type="content">Table 4: Results of long-term productivity reduction predicted by the ImpelERO model, in three simulated time horizons, for winter wheat cropa</note><note type="content">Table 5: Recommended management for winter wheat to reduce soil erosion vulnerability by application of the ImpelERO model</note><subject lang="en"><genre>Keywords</genre><topic>Water erosion</topic><topic>Quantifying soil loss</topic><topic>Crop productivity</topic><topic>Farming by soil</topic><topic>Expert system</topic><topic>Neural network</topic><topic>Andalucia region</topic><topic>Western Europe</topic></subject><relatedItem type="host"><titleInfo><title>Agriculture, Ecosystems and Environment</title></titleInfo><titleInfo type="abbreviated"><title>AGEE</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">200011</dateIssued></originInfo><identifier type="ISSN">0167-8809</identifier><identifier type="PII">S0167-8809(00)X0069-2</identifier><part><date>200011</date><detail type="volume"><number>81</number><caption>vol.</caption></detail><detail type="issue"><number>3</number><caption>no.</caption></detail><extent unit="issue pages"><start>163</start><end>296</end></extent><extent unit="pages"><start>179</start><end>190</end></extent></part></relatedItem><identifier type="istex">EB8A019645A259CD954D13F67FE4C17688475D3B</identifier><identifier type="DOI">10.1016/S0167-8809(00)00161-4</identifier><identifier type="PII">S0167-8809(00)00161-4</identifier><accessCondition type="use and reproduction" contentType="copyright">©2000 Elsevier Science B.V.</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science B.V., ©2000</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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