Assessing the Relationship Between Landscape Patterns and Nonpoint‐Source Pollution in the Danjiangkou Reservoir Basin in China
Identifieur interne : 000B17 ( Istex/Corpus ); précédent : 000B16; suivant : 000B18Assessing the Relationship Between Landscape Patterns and Nonpoint‐Source Pollution in the Danjiangkou Reservoir Basin in China
Auteurs : Fanghua Hao ; Xuan Zhang ; Xiao Wang ; Wei OuyangSource :
- JAWRA Journal of the American Water Resources Association [ 1093-474X ] ; 2012-12.
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Abstract
Abstract: The constrained ordination method from quantitative ecology was utilized to assess the relationship between landscape patterns and nonpoint‐source (NPS) pollution for the purpose of identifying effective water‐quality improvement practices in Danjiangkou Reservoir (DJKR) basin, China. The soil and water assessment tool (SWAT) was applied to simulate NPS pollution and the Fragstats model was applied to calculate the landscape metrics. The study concluded that organic nutrients formed the main NPS pollutant in the DJKR basin and that most of the NPS pollution occurred along with soil loss. Based on partial redundancy analysis, the conclusion that landscape metrics were significantly correlated to NPS pollution indices was obtained. Specifically, the composition of LULC (land use/land cover) was the most effective factor to estimate NPS pollution. Dry cultivated land was identified as the main source of NPS pollution, and paddy fields were characterized with the most intensive soluble nutrients loss. In addition, the reason that fragmented and complex landscape patterns exacerbate NPS pollution was that natural landscape composed most of this area. Moreover, the fragmented natural landscape indicated intensive agricultural activities that were the crucial trigger for NPS pollution. Combined with the economic condition in China, Conversion of Cropland to Forests Program (CCFP) should be conducted selectively and gradually in the DJKR basin.
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DOI: 10.1111/j.1752-1688.2012.00677.x
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sortKey="Wang, Xiao" sort="Wang, Xiao" uniqKey="Wang X" first="Xiao" last="Wang">Xiao Wang</name><affiliation><mods:affiliation>Postdoctoral Fellow (Wang), School of Public Policy and Management, Tsinghua University, Beijing 100084, China</mods:affiliation></affiliation></author><author><name sortKey="Ouyang, Wei" sort="Ouyang, Wei" uniqKey="Ouyang W" first="Wei" last="Ouyang">Wei Ouyang</name><affiliation><mods:affiliation>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:8E4604317F46FDDB8395DE18DC71E9EF7943111F</idno><date when="2012" year="2012">2012</date><idno type="doi">10.1111/j.1752-1688.2012.00677.x</idno><idno type="url">https://api.istex.fr/document/8E4604317F46FDDB8395DE18DC71E9EF7943111F/fulltext/pdf</idno><idno 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Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</mods:affiliation></affiliation></author><author><name sortKey="Wang, Xiao" sort="Wang, Xiao" uniqKey="Wang X" first="Xiao" last="Wang">Xiao Wang</name><affiliation><mods:affiliation>Postdoctoral Fellow (Wang), School of Public Policy and Management, Tsinghua University, Beijing 100084, China</mods:affiliation></affiliation></author><author><name sortKey="Ouyang, Wei" sort="Ouyang, Wei" uniqKey="Ouyang W" first="Wei" last="Ouyang">Wei Ouyang</name><affiliation><mods:affiliation>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">JAWRA Journal of the American Water Resources Association</title><idno type="ISSN">1093-474X</idno><idno 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type="abstract">Abstract: The constrained ordination method from quantitative ecology was utilized to assess the relationship between landscape patterns and nonpoint‐source (NPS) pollution for the purpose of identifying effective water‐quality improvement practices in Danjiangkou Reservoir (DJKR) basin, China. The soil and water assessment tool (SWAT) was applied to simulate NPS pollution and the Fragstats model was applied to calculate the landscape metrics. The study concluded that organic nutrients formed the main NPS pollutant in the DJKR basin and that most of the NPS pollution occurred along with soil loss. Based on partial redundancy analysis, the conclusion that landscape metrics were significantly correlated to NPS pollution indices was obtained. Specifically, the composition of LULC (land use/land cover) was the most effective factor to estimate NPS pollution. Dry cultivated land was identified as the main source of NPS pollution, and paddy fields were characterized with the most intensive soluble nutrients loss. In addition, the reason that fragmented and complex landscape patterns exacerbate NPS pollution was that natural landscape composed most of this area. Moreover, the fragmented natural landscape indicated intensive agricultural activities that were the crucial trigger for NPS pollution. Combined with the economic condition in China, Conversion of Cropland to Forests Program (CCFP) should be conducted selectively and gradually in the DJKR basin.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Fanghua Hao</name><affiliations><json:string>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</json:string></affiliations></json:item><json:item><name>Xuan Zhang</name><affiliations><json:string>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</json:string></affiliations></json:item><json:item><name>Xiao Wang</name><affiliations><json:string>Postdoctoral Fellow (Wang), School of Public Policy and Management, Tsinghua University, Beijing 100084, China</json:string></affiliations></json:item><json:item><name>Wei Ouyang</name><affiliations><json:string>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>best management practices</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>computational methods</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>nonpoint‐source pollution</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>landscape metrics</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>simulation</value></json:item></subject><articleId><json:string>JAWR677</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>Abstract: The constrained ordination method from quantitative ecology was utilized to assess the relationship between landscape patterns and nonpoint‐source (NPS) pollution for the purpose of identifying effective water‐quality improvement practices in Danjiangkou Reservoir (DJKR) basin, China. The soil and water assessment tool (SWAT) was applied to simulate NPS pollution and the Fragstats model was applied to calculate the landscape metrics. The study concluded that organic nutrients formed the main NPS pollutant in the DJKR basin and that most of the NPS pollution occurred along with soil loss. Based on partial redundancy analysis, the conclusion that landscape metrics were significantly correlated to NPS pollution indices was obtained. Specifically, the composition of LULC (land use/land cover) was the most effective factor to estimate NPS pollution. Dry cultivated land was identified as the main source of NPS pollution, and paddy fields were characterized with the most intensive soluble nutrients loss. In addition, the reason that fragmented and complex landscape patterns exacerbate NPS pollution was that natural landscape composed most of this area. Moreover, the fragmented natural landscape indicated intensive agricultural activities that were the crucial trigger for NPS pollution. 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Discussions are open until six months from print publication.</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Assessing the Relationship Between Landscape Patterns and Nonpoint‐Source Pollution in the Danjiangkou Reservoir Basin in China</title><author xml:id="author-1"><persName><forename type="first">Fanghua</forename><surname>Hao</surname></persName><affiliation>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</affiliation></author><author xml:id="author-2"><persName><forename type="first">Xuan</forename><surname>Zhang</surname></persName><affiliation>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</affiliation></author><author xml:id="author-3"><persName><forename type="first">Xiao</forename><surname>Wang</surname></persName><affiliation>Postdoctoral Fellow (Wang), School of Public Policy and Management, Tsinghua University, Beijing 100084, China</affiliation></author><author xml:id="author-4"><persName><forename type="first">Wei</forename><surname>Ouyang</surname></persName><affiliation>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</affiliation></author></analytic><monogr><title level="j">JAWRA Journal of the American Water Resources Association</title><idno type="pISSN">1093-474X</idno><idno type="eISSN">1752-1688</idno><idno type="DOI">10.1111/(ISSN)1752-1688</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2012-12"></date><biblScope unit="volume">48</biblScope><biblScope unit="issue">6</biblScope><biblScope unit="page" from="1162">1162</biblScope><biblScope unit="page" to="1177">1177</biblScope></imprint></monogr><idno type="istex">8E4604317F46FDDB8395DE18DC71E9EF7943111F</idno><idno type="DOI">10.1111/j.1752-1688.2012.00677.x</idno><idno type="ArticleID">JAWR677</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2012</date></creation><langUsage><language ident="en">en</language></langUsage><abstract><p>Abstract: The constrained ordination method from quantitative ecology was utilized to assess the relationship between landscape patterns and nonpoint‐source (NPS) pollution for the purpose of identifying effective water‐quality improvement practices in Danjiangkou Reservoir (DJKR) basin, China. The soil and water assessment tool (SWAT) was applied to simulate NPS pollution and the Fragstats model was applied to calculate the landscape metrics. The study concluded that organic nutrients formed the main NPS pollutant in the DJKR basin and that most of the NPS pollution occurred along with soil loss. Based on partial redundancy analysis, the conclusion that landscape metrics were significantly correlated to NPS pollution indices was obtained. Specifically, the composition of LULC (land use/land cover) was the most effective factor to estimate NPS pollution. Dry cultivated land was identified as the main source of NPS pollution, and paddy fields were characterized with the most intensive soluble nutrients loss. In addition, the reason that fragmented and complex landscape patterns exacerbate NPS pollution was that natural landscape composed most of this area. Moreover, the fragmented natural landscape indicated intensive agricultural activities that were the crucial trigger for NPS pollution. Combined with the economic condition in China, Conversion of Cropland to Forests Program (CCFP) should be conducted selectively and gradually in the DJKR basin.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>keywords</head><item><term>best management practices</term></item><item><term>computational methods</term></item><item><term>nonpoint‐source pollution</term></item><item><term>landscape metrics</term></item><item><term>simulation</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2012-12">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/8E4604317F46FDDB8395DE18DC71E9EF7943111F/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Publishing Ltd</publisherName><publisherLoc>Oxford, UK</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1752-1688</doi><issn type="print">1093-474X</issn><issn type="electronic">1752-1688</issn><idGroup><id type="product" value="JAWR"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="JOURNAL OF AMERICAN WATER RESOURCES ASSOCIATION">JAWRA Journal of the American Water Resources Association</title></titleGroup></publicationMeta><publicationMeta level="part" position="12106"><doi origin="wiley">10.1111/jawr.2012.48.issue-6</doi><numberingGroup><numbering type="journalVolume" number="48">48</numbering><numbering type="journalIssue" number="6">6</numbering></numberingGroup><coverDate startDate="2012-12">December 2012</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="7" status="forIssue"><doi origin="wiley">10.1111/j.1752-1688.2012.00677.x</doi><idGroup><id type="unit" value="JAWR677"></id></idGroup><countGroup><count type="pageTotal" number="16"></count></countGroup><titleGroup><title type="tocHeading1"><sc>Technical Papers</sc></title></titleGroup><copyright>© 2012 American Water Resources Association</copyright><eventGroup><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:3.1.9 mode:FullText" date="2012-11-21"></event><event agent="SPS" date="2012-11-22" type="xmlCorrected"></event><event type="publishedOnlineEarlyUnpaginated" date="2012-08-06"></event><event type="firstOnline" date="2012-08-06"></event><event type="publishedOnlineFinalForm" date="2012-12-03"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-28"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.3.4 mode:FullText" date="2015-02-25"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="1162">1162</numbering><numbering type="pageLast" number="1177">1177</numbering></numberingGroup><correspondenceTo>(E‐Mail/Zhang: <email>xuaner127@foxmail.com</email>).</correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:JAWR.JAWR677.pdf"></link></linkGroup></publicationMeta><contentMeta><unparsedEditorialHistory>Received March 13, 2012; accepted May 28, 2012.</unparsedEditorialHistory><countGroup><count type="figureTotal" number="7"></count><count type="tableTotal" number="6"></count></countGroup><titleGroup><title type="main">Assessing the Relationship Between Landscape Patterns and Nonpoint‐Source Pollution in the Danjiangkou Reservoir Basin in China<link href="#fn1"><sup>1</sup></link></title><title type="tocForm">Assessing the Relationship Between Landscape Patterns and Nonpoint‐Source Pollution in the Danjiangkou Reservoir Basin in China</title><title type="shortAuthors"><sc>Hao, Zhang, Wang, and Ouyang</sc></title><title type="short"><sc>Assessing the Relationship Between Landscape Patterns and Nonpoint‐Source Pollution in the Danjiangkou Reservoir Basin in China</sc></title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1"><personName><givenNames>Fanghua</givenNames><familyName>Hao</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a1"><personName><givenNames>Xuan</givenNames><familyName>Zhang</familyName></personName></creator><creator creatorRole="author" xml:id="cr3" affiliationRef="#a2"><personName><givenNames>Xiao</givenNames><familyName>Wang</familyName></personName></creator><creator creatorRole="author" xml:id="cr4" affiliationRef="#a1"><personName><givenNames>Wei</givenNames><familyName>Ouyang</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="CN"><unparsedAffiliation>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</unparsedAffiliation></affiliation><affiliation xml:id="a2" countryCode="CN"><unparsedAffiliation>Postdoctoral Fellow (Wang), School of Public Policy and Management, Tsinghua University, Beijing 100084, China</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">best management practices</keyword><keyword xml:id="k2">computational methods</keyword><keyword xml:id="k3">nonpoint‐source pollution</keyword><keyword xml:id="k4">landscape metrics</keyword><keyword xml:id="k5">simulation</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><p><b>Abstract: </b> The constrained ordination method from quantitative ecology was utilized to assess the relationship between landscape patterns and nonpoint‐source (NPS) pollution for the purpose of identifying effective water‐quality improvement practices in Danjiangkou Reservoir (DJKR) basin, China. The soil and water assessment tool (SWAT) was applied to simulate NPS pollution and the Fragstats model was applied to calculate the landscape metrics. The study concluded that organic nutrients formed the main NPS pollutant in the DJKR basin and that most of the NPS pollution occurred along with soil loss. Based on partial redundancy analysis, the conclusion that landscape metrics were significantly correlated to NPS pollution indices was obtained. Specifically, the composition of LULC (land use/land cover) was the most effective factor to estimate NPS pollution. Dry cultivated land was identified as the main source of NPS pollution, and paddy fields were characterized with the most intensive soluble nutrients loss. In addition, the reason that fragmented and complex landscape patterns exacerbate NPS pollution was that natural landscape composed most of this area. Moreover, the fragmented natural landscape indicated intensive agricultural activities that were the crucial trigger for NPS pollution. Combined with the economic condition in China, Conversion of Cropland to Forests Program (CCFP) should be conducted selectively and gradually in the DJKR basin.</p></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="fn1"><p>Paper No. JAWRA‐12‐0065‐P of the <i>Journal of the American Water Resources Association</i> (JAWRA). <b>Discussions are open until six months from print publication.</b></p></note></noteGroup></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Assessing the Relationship Between Landscape Patterns and Nonpoint‐Source Pollution in the Danjiangkou Reservoir Basin in China</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Assessing the Relationship Between Landscape Patterns and Nonpoint‐Source Pollution in the Danjiangkou Reservoir Basin in China</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Assessing the Relationship Between Landscape Patterns and Nonpoint‐Source Pollution in the Danjiangkou Reservoir Basin in China1</title></titleInfo><name type="personal"><namePart type="given">Fanghua</namePart><namePart type="family">Hao</namePart><affiliation>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Xuan</namePart><namePart type="family">Zhang</namePart><affiliation>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Xiao</namePart><namePart type="family">Wang</namePart><affiliation>Postdoctoral Fellow (Wang), School of Public Policy and Management, Tsinghua University, Beijing 100084, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Wei</namePart><namePart type="family">Ouyang</namePart><affiliation>Respectively, Professor (Hao), Doctoral Student (Zhang), and Associate Professor (Ouyang), School of Environment, Beijing Normal University, 19 Xinjiekouwai St., Beijing 100875, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><place><placeTerm type="text">Oxford, UK</placeTerm></place><dateIssued encoding="w3cdtf">2012-12</dateIssued><edition>Received March 13, 2012; accepted May 28, 2012.</edition><copyrightDate encoding="w3cdtf">2012</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">7</extent><extent unit="tables">6</extent></physicalDescription><abstract>Abstract: The constrained ordination method from quantitative ecology was utilized to assess the relationship between landscape patterns and nonpoint‐source (NPS) pollution for the purpose of identifying effective water‐quality improvement practices in Danjiangkou Reservoir (DJKR) basin, China. The soil and water assessment tool (SWAT) was applied to simulate NPS pollution and the Fragstats model was applied to calculate the landscape metrics. The study concluded that organic nutrients formed the main NPS pollutant in the DJKR basin and that most of the NPS pollution occurred along with soil loss. Based on partial redundancy analysis, the conclusion that landscape metrics were significantly correlated to NPS pollution indices was obtained. Specifically, the composition of LULC (land use/land cover) was the most effective factor to estimate NPS pollution. Dry cultivated land was identified as the main source of NPS pollution, and paddy fields were characterized with the most intensive soluble nutrients loss. In addition, the reason that fragmented and complex landscape patterns exacerbate NPS pollution was that natural landscape composed most of this area. Moreover, the fragmented natural landscape indicated intensive agricultural activities that were the crucial trigger for NPS pollution. Combined with the economic condition in China, Conversion of Cropland to Forests Program (CCFP) should be conducted selectively and gradually in the DJKR basin.</abstract><note type="content">*Paper No. JAWRA‐12‐0065‐P of the Journal of the American Water Resources Association (JAWRA). Discussions are open until six months from print publication.</note><subject lang="en"><genre>keywords</genre><topic>best management practices</topic><topic>computational methods</topic><topic>nonpoint‐source pollution</topic><topic>landscape metrics</topic><topic>simulation</topic></subject><relatedItem type="host"><titleInfo><title>JAWRA Journal of the American Water Resources Association</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">1093-474X</identifier><identifier type="eISSN">1752-1688</identifier><identifier type="DOI">10.1111/(ISSN)1752-1688</identifier><identifier type="PublisherID">JAWR</identifier><part><date>2012</date><detail type="volume"><caption>vol.</caption><number>48</number></detail><detail type="issue"><caption>no.</caption><number>6</number></detail><extent unit="pages"><start>1162</start><end>1177</end><total>16</total></extent></part></relatedItem><identifier type="istex">8E4604317F46FDDB8395DE18DC71E9EF7943111F</identifier><identifier type="DOI">10.1111/j.1752-1688.2012.00677.x</identifier><identifier type="ArticleID">JAWR677</identifier><accessCondition type="use and reproduction" contentType="copyright">© 2012 American Water Resources Association</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Publishing Ltd</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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