Probabilistic risk assessment of cotton pyrethroids: III. A spatial analysis of the Mississippi, USA, cotton landscape
Identifieur interne : 000E32 ( Istex/Corpus ); précédent : 000E31; suivant : 000E33Probabilistic risk assessment of cotton pyrethroids: III. A spatial analysis of the Mississippi, USA, cotton landscape
Auteurs : Paul Hendley ; Chris Holmes ; Steve Kay ; Stephen J. Maund ; Kim Z. Travis ; Minghua ZhangSource :
- Environmental Toxicology and Chemistry [ 0730-7268 ] ; 2001-03.
English descriptors
- KwdEn :
Abstract
Estimates of potential aquatic exposure concentrations arising from the use of pyrethroid insecticides on cotton produced using conventional procedures outlined by the U.S. Environmental Protection Agency's Office of Pesticide Programs Environmental Fate and Effects Division seem unrealistically high. Accordingly, the assumptions inherent in the pesticide exposure assessment modeling scenarios were examined using remote sensing of a significant Mississippi, USA, cotton‐producing county. Image processing techniques and a geographic information system were used to investigate the number and size of the water bodies in the county and their proximity to cotton. Variables critical to aquatic exposure modeling were measured for approximately 600 static water bodies in the study area. Quantitative information on the relative spatial orientation of cotton and water, regional soil texture and slope, and the detailed nature of the composition of physical buffers between agricultural fields and water bodies was also obtained. Results showed that remote sensing and geographic information systems can be used cost effectively to characterize the agricultural landscape and provide verifiable data to refine conservative model assumptions. For example, 68% of all ponds in the region have no cotton within 360 m and 92% of the ponds have no cotton within 60 m. Only 2% of ponds have cotton present in all directions around the ponds and within 120 m. These are significant modifications to conventional pesticide risk assessment exposure modeling assumptions and exemplify the importance of using landscape‐level risk assessments to better describe the Mississippi cotton agricultural landscape. Incorporating spatially characterized landscape information into pesticide aquatic exposure scenarios is likely to have greater impact on the model output than many other refinements.
Url:
DOI: 10.1002/etc.5620200328
Links to Exploration step
ISTEX:5045A5BA6C544A4165C91CEB0B1C347A8D4C9381Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Probabilistic risk assessment of cotton pyrethroids: III. A spatial analysis of the Mississippi, USA, cotton landscape</title><author><name sortKey="Hendley, Paul" sort="Hendley, Paul" uniqKey="Hendley P" first="Paul" last="Hendley">Paul Hendley</name><affiliation><mods:affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</mods:affiliation></affiliation></author><author><name sortKey="Holmes, Chris" sort="Holmes, Chris" uniqKey="Holmes C" first="Chris" last="Holmes">Chris Holmes</name><affiliation><mods:affiliation>Compliance Services International, Center for Spatial Analysis, 1112 Alexander Avenue, Tacoma, Washington 98421‐4102, USA</mods:affiliation></affiliation></author><author><name sortKey="Kay, Steve" sort="Kay, Steve" uniqKey="Kay S" first="Steve" last="Kay">Steve Kay</name><affiliation><mods:affiliation>Compliance Services International, Center for Spatial Analysis, 1112 Alexander Avenue, Tacoma, Washington 98421‐4102, USA</mods:affiliation></affiliation></author><author><name sortKey="Maund, Stephen J" sort="Maund, Stephen J" uniqKey="Maund S" first="Stephen J." last="Maund">Stephen J. Maund</name><affiliation><mods:affiliation>Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire RG42 6EY, United Kingdom</mods:affiliation></affiliation></author><author><name sortKey="Travis, Kim Z" sort="Travis, Kim Z" uniqKey="Travis K" first="Kim Z." last="Travis">Kim Z. Travis</name><affiliation><mods:affiliation>Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire RG42 6EY, United Kingdom</mods:affiliation></affiliation></author><author><name sortKey="Zhang, Minghua" sort="Zhang, Minghua" uniqKey="Zhang M" first="Minghua" last="Zhang">Minghua Zhang</name><affiliation><mods:affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:5045A5BA6C544A4165C91CEB0B1C347A8D4C9381</idno><date when="2001" year="2001">2001</date><idno type="doi">10.1002/etc.5620200328</idno><idno type="url">https://api.istex.fr/document/5045A5BA6C544A4165C91CEB0B1C347A8D4C9381/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000E32</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000E32</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Probabilistic risk assessment of cotton pyrethroids: III. A spatial analysis of the Mississippi, USA, cotton landscape</title><author><name sortKey="Hendley, Paul" sort="Hendley, Paul" uniqKey="Hendley P" first="Paul" last="Hendley">Paul Hendley</name><affiliation><mods:affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</mods:affiliation></affiliation></author><author><name sortKey="Holmes, Chris" sort="Holmes, Chris" uniqKey="Holmes C" first="Chris" last="Holmes">Chris Holmes</name><affiliation><mods:affiliation>Compliance Services International, Center for Spatial Analysis, 1112 Alexander Avenue, Tacoma, Washington 98421‐4102, USA</mods:affiliation></affiliation></author><author><name sortKey="Kay, Steve" sort="Kay, Steve" uniqKey="Kay S" first="Steve" last="Kay">Steve Kay</name><affiliation><mods:affiliation>Compliance Services International, Center for Spatial Analysis, 1112 Alexander Avenue, Tacoma, Washington 98421‐4102, USA</mods:affiliation></affiliation></author><author><name sortKey="Maund, Stephen J" sort="Maund, Stephen J" uniqKey="Maund S" first="Stephen J." last="Maund">Stephen J. Maund</name><affiliation><mods:affiliation>Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire RG42 6EY, United Kingdom</mods:affiliation></affiliation></author><author><name sortKey="Travis, Kim Z" sort="Travis, Kim Z" uniqKey="Travis K" first="Kim Z." last="Travis">Kim Z. Travis</name><affiliation><mods:affiliation>Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire RG42 6EY, United Kingdom</mods:affiliation></affiliation></author><author><name sortKey="Zhang, Minghua" sort="Zhang, Minghua" uniqKey="Zhang M" first="Minghua" last="Zhang">Minghua Zhang</name><affiliation><mods:affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Environmental Toxicology and Chemistry</title><title level="j" type="sub">An International Journal</title><title level="j" type="abbrev">Environmental Toxicology and Chemistry</title><idno type="ISSN">0730-7268</idno><idno type="eISSN">1552-8618</idno><imprint><publisher>Wiley Periodicals, Inc.</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2001-03">2001-03</date><biblScope unit="volume">20</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="669">669</biblScope><biblScope unit="page" to="678">678</biblScope></imprint><idno type="ISSN">0730-7268</idno></series><idno type="istex">5045A5BA6C544A4165C91CEB0B1C347A8D4C9381</idno><idno type="DOI">10.1002/etc.5620200328</idno><idno type="ArticleID">ETC5620200328</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0730-7268</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aquatic exposure</term><term>Geographic information systems</term><term>Landscape analysis</term><term>Pyrethroid</term><term>Remote sensing</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Estimates of potential aquatic exposure concentrations arising from the use of pyrethroid insecticides on cotton produced using conventional procedures outlined by the U.S. Environmental Protection Agency's Office of Pesticide Programs Environmental Fate and Effects Division seem unrealistically high. Accordingly, the assumptions inherent in the pesticide exposure assessment modeling scenarios were examined using remote sensing of a significant Mississippi, USA, cotton‐producing county. Image processing techniques and a geographic information system were used to investigate the number and size of the water bodies in the county and their proximity to cotton. Variables critical to aquatic exposure modeling were measured for approximately 600 static water bodies in the study area. Quantitative information on the relative spatial orientation of cotton and water, regional soil texture and slope, and the detailed nature of the composition of physical buffers between agricultural fields and water bodies was also obtained. Results showed that remote sensing and geographic information systems can be used cost effectively to characterize the agricultural landscape and provide verifiable data to refine conservative model assumptions. For example, 68% of all ponds in the region have no cotton within 360 m and 92% of the ponds have no cotton within 60 m. Only 2% of ponds have cotton present in all directions around the ponds and within 120 m. These are significant modifications to conventional pesticide risk assessment exposure modeling assumptions and exemplify the importance of using landscape‐level risk assessments to better describe the Mississippi cotton agricultural landscape. Incorporating spatially characterized landscape information into pesticide aquatic exposure scenarios is likely to have greater impact on the model output than many other refinements.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Paul Hendley</name><affiliations><json:string>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</json:string><json:string>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</json:string></affiliations></json:item><json:item><name>Chris Holmes</name><affiliations><json:string>Compliance Services International, Center for Spatial Analysis, 1112 Alexander Avenue, Tacoma, Washington 98421‐4102, USA</json:string></affiliations></json:item><json:item><name>Steve Kay</name><affiliations><json:string>Compliance Services International, Center for Spatial Analysis, 1112 Alexander Avenue, Tacoma, Washington 98421‐4102, USA</json:string></affiliations></json:item><json:item><name>Stephen J. Maund</name><affiliations><json:string>Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire RG42 6EY, United Kingdom</json:string></affiliations></json:item><json:item><name>Kim Z. Travis</name><affiliations><json:string>Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire RG42 6EY, United Kingdom</json:string></affiliations></json:item><json:item><name>Minghua Zhang</name><affiliations><json:string>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Aquatic exposure</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Geographic information systems</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Remote sensing</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Landscape analysis</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Pyrethroid</value></json:item></subject><articleId><json:string>ETC5620200328</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>Estimates of potential aquatic exposure concentrations arising from the use of pyrethroid insecticides on cotton produced using conventional procedures outlined by the U.S. Environmental Protection Agency's Office of Pesticide Programs Environmental Fate and Effects Division seem unrealistically high. Accordingly, the assumptions inherent in the pesticide exposure assessment modeling scenarios were examined using remote sensing of a significant Mississippi, USA, cotton‐producing county. Image processing techniques and a geographic information system were used to investigate the number and size of the water bodies in the county and their proximity to cotton. Variables critical to aquatic exposure modeling were measured for approximately 600 static water bodies in the study area. Quantitative information on the relative spatial orientation of cotton and water, regional soil texture and slope, and the detailed nature of the composition of physical buffers between agricultural fields and water bodies was also obtained. Results showed that remote sensing and geographic information systems can be used cost effectively to characterize the agricultural landscape and provide verifiable data to refine conservative model assumptions. For example, 68% of all ponds in the region have no cotton within 360 m and 92% of the ponds have no cotton within 60 m. Only 2% of ponds have cotton present in all directions around the ponds and within 120 m. These are significant modifications to conventional pesticide risk assessment exposure modeling assumptions and exemplify the importance of using landscape‐level risk assessments to better describe the Mississippi cotton agricultural landscape. Incorporating spatially characterized landscape information into pesticide aquatic exposure scenarios is likely to have greater impact on the model output than many other refinements.</abstract><qualityIndicators><score>8</score><pdfVersion>1.3</pdfVersion><pdfPageSize>612 x 792 pts (letter)</pdfPageSize><refBibsNative>true</refBibsNative><abstractCharCount>1882</abstractCharCount><pdfWordCount>5588</pdfWordCount><pdfCharCount>35167</pdfCharCount><pdfPageCount>10</pdfPageCount><abstractWordCount>266</abstractWordCount></qualityIndicators><title>Probabilistic risk assessment of cotton pyrethroids: III. A spatial analysis of the Mississippi, USA, cotton landscape</title><genre><json:string>article</json:string></genre><host><volume>20</volume><publisherId><json:string>ETC</json:string></publisherId><pages><total>10</total><last>678</last><first>669</first></pages><issn><json:string>0730-7268</json:string></issn><issue>3</issue><subject><json:item><value>Hazard/Risk Assessment</value></json:item></subject><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><eissn><json:string>1552-8618</json:string></eissn><title>Environmental Toxicology and Chemistry</title><doi><json:string>10.1002/(ISSN)1552-8618</json:string></doi></host><categories><wos><json:string>science</json:string><json:string>toxicology</json:string><json:string>environmental sciences</json:string></wos><scienceMetrix><json:string>natural sciences</json:string><json:string>earth & environmental sciences</json:string><json:string>environmental sciences</json:string></scienceMetrix></categories><publicationDate>2001</publicationDate><copyrightDate>2001</copyrightDate><doi><json:string>10.1002/etc.5620200328</json:string></doi><id>5045A5BA6C544A4165C91CEB0B1C347A8D4C9381</id><score>0.04393561</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/5045A5BA6C544A4165C91CEB0B1C347A8D4C9381/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/5045A5BA6C544A4165C91CEB0B1C347A8D4C9381/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/5045A5BA6C544A4165C91CEB0B1C347A8D4C9381/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Probabilistic risk assessment of cotton pyrethroids: III. A spatial analysis of the Mississippi, USA, cotton landscape</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Wiley Periodicals, Inc.</publisher><pubPlace>Hoboken</pubPlace><availability><p>Copyright © 2001 SETAC</p></availability><date>2001</date></publicationStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Probabilistic risk assessment of cotton pyrethroids: III. A spatial analysis of the Mississippi, USA, cotton landscape</title><author xml:id="author-1"><persName><forename type="first">Paul</forename><surname>Hendley</surname></persName><affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</affiliation><affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</affiliation></author><author xml:id="author-2"><persName><forename type="first">Chris</forename><surname>Holmes</surname></persName><affiliation>Compliance Services International, Center for Spatial Analysis, 1112 Alexander Avenue, Tacoma, Washington 98421‐4102, USA</affiliation></author><author xml:id="author-3"><persName><forename type="first">Steve</forename><surname>Kay</surname></persName><affiliation>Compliance Services International, Center for Spatial Analysis, 1112 Alexander Avenue, Tacoma, Washington 98421‐4102, USA</affiliation></author><author xml:id="author-4"><persName><forename type="first">Stephen J.</forename><surname>Maund</surname></persName><affiliation>Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire RG42 6EY, United Kingdom</affiliation></author><author xml:id="author-5"><persName><forename type="first">Kim Z.</forename><surname>Travis</surname></persName><affiliation>Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire RG42 6EY, United Kingdom</affiliation></author><author xml:id="author-6"><persName><forename type="first">Minghua</forename><surname>Zhang</surname></persName><affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</affiliation></author></analytic><monogr><title level="j">Environmental Toxicology and Chemistry</title><title level="j" type="sub">An International Journal</title><title level="j" type="abbrev">Environmental Toxicology and Chemistry</title><idno type="pISSN">0730-7268</idno><idno type="eISSN">1552-8618</idno><idno type="DOI">10.1002/(ISSN)1552-8618</idno><imprint><publisher>Wiley Periodicals, Inc.</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2001-03"></date><biblScope unit="volume">20</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="669">669</biblScope><biblScope unit="page" to="678">678</biblScope></imprint></monogr><idno type="istex">5045A5BA6C544A4165C91CEB0B1C347A8D4C9381</idno><idno type="DOI">10.1002/etc.5620200328</idno><idno type="ArticleID">ETC5620200328</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2001</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Estimates of potential aquatic exposure concentrations arising from the use of pyrethroid insecticides on cotton produced using conventional procedures outlined by the U.S. Environmental Protection Agency's Office of Pesticide Programs Environmental Fate and Effects Division seem unrealistically high. Accordingly, the assumptions inherent in the pesticide exposure assessment modeling scenarios were examined using remote sensing of a significant Mississippi, USA, cotton‐producing county. Image processing techniques and a geographic information system were used to investigate the number and size of the water bodies in the county and their proximity to cotton. Variables critical to aquatic exposure modeling were measured for approximately 600 static water bodies in the study area. Quantitative information on the relative spatial orientation of cotton and water, regional soil texture and slope, and the detailed nature of the composition of physical buffers between agricultural fields and water bodies was also obtained. Results showed that remote sensing and geographic information systems can be used cost effectively to characterize the agricultural landscape and provide verifiable data to refine conservative model assumptions. For example, 68% of all ponds in the region have no cotton within 360 m and 92% of the ponds have no cotton within 60 m. Only 2% of ponds have cotton present in all directions around the ponds and within 120 m. These are significant modifications to conventional pesticide risk assessment exposure modeling assumptions and exemplify the importance of using landscape‐level risk assessments to better describe the Mississippi cotton agricultural landscape. Incorporating spatially characterized landscape information into pesticide aquatic exposure scenarios is likely to have greater impact on the model output than many other refinements.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>keywords</head><item><term>Aquatic exposure</term></item><item><term>Geographic information systems</term></item><item><term>Remote sensing</term></item><item><term>Landscape analysis</term></item><item><term>Pyrethroid</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>article-category</head><item><term>Hazard/Risk Assessment</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1999-11-15">Received</change><change when="2000-07-16">Registration</change><change when="2001-03">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/5045A5BA6C544A4165C91CEB0B1C347A8D4C9381/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>Wiley Periodicals, Inc.</publisherName><publisherLoc>Hoboken</publisherLoc></publisherInfo><doi registered="yes">10.1002/(ISSN)1552-8618</doi><issn type="print">0730-7268</issn><issn type="electronic">1552-8618</issn><idGroup><id type="product" value="ETC"></id></idGroup><titleGroup><title type="main" xml:lang="en" sort="ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY">Environmental Toxicology and Chemistry</title><title type="subtitle">An International Journal</title><title type="short">Environmental Toxicology and Chemistry</title></titleGroup></publicationMeta><publicationMeta level="part" position="30"><doi origin="wiley" registered="no">10.1002/etc.v20:3</doi><numberingGroup><numbering type="journalVolume" number="20">20</numbering><numbering type="journalIssue">3</numbering></numberingGroup><coverDate startDate="2001-03">March 2001</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="28" status="forIssue"><doi origin="wiley" registered="no">10.1002/etc.5620200328</doi><idGroup><id type="unit" value="ETC5620200328"></id></idGroup><countGroup><count type="pageTotal" number="10"></count></countGroup><titleGroup><title type="articleCategory">Hazard/Risk Assessment</title><title type="tocHeading1">Hazard/Risk Assessment</title></titleGroup><copyright ownership="thirdParty">Copyright © 2001 SETAC</copyright><eventGroup><event type="manuscriptReceived" date="1999-11-15"></event><event type="manuscriptAccepted" date="2000-07-16"></event><event type="firstOnline" date="2009-11-03"></event><event type="publishedOnlineFinalForm" date="2009-11-03"></event><event type="xmlConverted" agent="Converter:JWSART34_TO_WML3G version:2.3.2 mode:FullText source:FullText result:FullText" date="2010-03-15"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-25"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-16"></event></eventGroup><numberingGroup><numbering type="pageFirst">669</numbering><numbering type="pageLast">678</numbering></numberingGroup><correspondenceTo>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:ETC.ETC5620200328.pdf"></link></linkGroup></publicationMeta><contentMeta><countGroup><count type="figureTotal" number="2"></count><count type="tableTotal" number="6"></count><count type="referenceTotal" number="8"></count></countGroup><titleGroup><title type="main" xml:lang="en">Probabilistic risk assessment of cotton pyrethroids: III. A spatial analysis of the Mississippi, USA, cotton landscape</title><title type="short" xml:lang="en">Pyrethroid risk assessment—Landscape analysis</title></titleGroup><creators><creator xml:id="au1" creatorRole="author" affiliationRef="#af1" corresponding="yes"><personName><givenNames>Paul</givenNames><familyName>Hendley</familyName></personName><contactDetails><email>paul.hendley@agna.zeneca.com</email></contactDetails></creator><creator xml:id="au2" creatorRole="author" affiliationRef="#af2"><personName><givenNames>Chris</givenNames><familyName>Holmes</familyName></personName></creator><creator xml:id="au3" creatorRole="author" affiliationRef="#af2"><personName><givenNames>Steve</givenNames><familyName>Kay</familyName></personName></creator><creator xml:id="au4" creatorRole="author" affiliationRef="#af3"><personName><givenNames>Stephen J.</givenNames><familyName>Maund</familyName></personName></creator><creator xml:id="au5" creatorRole="author" affiliationRef="#af3"><personName><givenNames>Kim Z.</givenNames><familyName>Travis</familyName></personName></creator><creator xml:id="au6" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Minghua</givenNames><familyName>Zhang</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="af1" countryCode="US" type="organization"><unparsedAffiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</unparsedAffiliation></affiliation><affiliation xml:id="af2" countryCode="US" type="organization"><unparsedAffiliation>Compliance Services International, Center for Spatial Analysis, 1112 Alexander Avenue, Tacoma, Washington 98421‐4102, USA</unparsedAffiliation></affiliation><affiliation xml:id="af3" countryCode="GB" type="organization"><unparsedAffiliation>Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire RG42 6EY, United Kingdom</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en" type="author"><keyword xml:id="kwd1">Aquatic exposure</keyword><keyword xml:id="kwd2">Geographic information systems</keyword><keyword xml:id="kwd3">Remote sensing</keyword><keyword xml:id="kwd4">Landscape analysis</keyword><keyword xml:id="kwd5">Pyrethroid</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><p>Estimates of potential aquatic exposure concentrations arising from the use of pyrethroid insecticides on cotton produced using conventional procedures outlined by the U.S. Environmental Protection Agency's Office of Pesticide Programs Environmental Fate and Effects Division seem unrealistically high. Accordingly, the assumptions inherent in the pesticide exposure assessment modeling scenarios were examined using remote sensing of a significant Mississippi, USA, cotton‐producing county. Image processing techniques and a geographic information system were used to investigate the number and size of the water bodies in the county and their proximity to cotton. Variables critical to aquatic exposure modeling were measured for approximately 600 static water bodies in the study area. Quantitative information on the relative spatial orientation of cotton and water, regional soil texture and slope, and the detailed nature of the composition of physical buffers between agricultural fields and water bodies was also obtained. Results showed that remote sensing and geographic information systems can be used cost effectively to characterize the agricultural landscape and provide verifiable data to refine conservative model assumptions. For example, 68% of all ponds in the region have no cotton within 360 m and 92% of the ponds have no cotton within 60 m. Only 2% of ponds have cotton present in all directions around the ponds and within 120 m. These are significant modifications to conventional pesticide risk assessment exposure modeling assumptions and exemplify the importance of using landscape‐level risk assessments to better describe the Mississippi cotton agricultural landscape. Incorporating spatially characterized landscape information into pesticide aquatic exposure scenarios is likely to have greater impact on the model output than many other refinements.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Probabilistic risk assessment of cotton pyrethroids: III. A spatial analysis of the Mississippi, USA, cotton landscape</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Pyrethroid risk assessment—Landscape analysis</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Probabilistic risk assessment of cotton pyrethroids: III. A spatial analysis of the Mississippi, USA, cotton landscape</title></titleInfo><name type="personal"><namePart type="given">Paul</namePart><namePart type="family">Hendley</namePart><affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</affiliation><affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Chris</namePart><namePart type="family">Holmes</namePart><affiliation>Compliance Services International, Center for Spatial Analysis, 1112 Alexander Avenue, Tacoma, Washington 98421‐4102, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Steve</namePart><namePart type="family">Kay</namePart><affiliation>Compliance Services International, Center for Spatial Analysis, 1112 Alexander Avenue, Tacoma, Washington 98421‐4102, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Stephen J.</namePart><namePart type="family">Maund</namePart><affiliation>Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire RG42 6EY, United Kingdom</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Kim Z.</namePart><namePart type="family">Travis</namePart><affiliation>Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire RG42 6EY, United Kingdom</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Minghua</namePart><namePart type="family">Zhang</namePart><affiliation>Zeneca Ag Products, Western Research Center, 1200 South 47th Street, Richmond, California 94804‐4610, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Wiley Periodicals, Inc.</publisher><place><placeTerm type="text">Hoboken</placeTerm></place><dateIssued encoding="w3cdtf">2001-03</dateIssued><dateCaptured encoding="w3cdtf">1999-11-15</dateCaptured><dateValid encoding="w3cdtf">2000-07-16</dateValid><copyrightDate encoding="w3cdtf">2001</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">2</extent><extent unit="tables">6</extent><extent unit="references">8</extent></physicalDescription><abstract lang="en">Estimates of potential aquatic exposure concentrations arising from the use of pyrethroid insecticides on cotton produced using conventional procedures outlined by the U.S. Environmental Protection Agency's Office of Pesticide Programs Environmental Fate and Effects Division seem unrealistically high. Accordingly, the assumptions inherent in the pesticide exposure assessment modeling scenarios were examined using remote sensing of a significant Mississippi, USA, cotton‐producing county. Image processing techniques and a geographic information system were used to investigate the number and size of the water bodies in the county and their proximity to cotton. Variables critical to aquatic exposure modeling were measured for approximately 600 static water bodies in the study area. Quantitative information on the relative spatial orientation of cotton and water, regional soil texture and slope, and the detailed nature of the composition of physical buffers between agricultural fields and water bodies was also obtained. Results showed that remote sensing and geographic information systems can be used cost effectively to characterize the agricultural landscape and provide verifiable data to refine conservative model assumptions. For example, 68% of all ponds in the region have no cotton within 360 m and 92% of the ponds have no cotton within 60 m. Only 2% of ponds have cotton present in all directions around the ponds and within 120 m. These are significant modifications to conventional pesticide risk assessment exposure modeling assumptions and exemplify the importance of using landscape‐level risk assessments to better describe the Mississippi cotton agricultural landscape. Incorporating spatially characterized landscape information into pesticide aquatic exposure scenarios is likely to have greater impact on the model output than many other refinements.</abstract><subject lang="en"><genre>keywords</genre><topic>Aquatic exposure</topic><topic>Geographic information systems</topic><topic>Remote sensing</topic><topic>Landscape analysis</topic><topic>Pyrethroid</topic></subject><relatedItem type="host"><titleInfo><title>Environmental Toxicology and Chemistry</title><subTitle>An International Journal</subTitle></titleInfo><titleInfo type="abbreviated"><title>Environmental Toxicology and Chemistry</title></titleInfo><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Hazard/Risk Assessment</topic></subject><identifier type="ISSN">0730-7268</identifier><identifier type="eISSN">1552-8618</identifier><identifier type="DOI">10.1002/(ISSN)1552-8618</identifier><identifier type="PublisherID">ETC</identifier><part><date>2001</date><detail type="volume"><caption>vol.</caption><number>20</number></detail><detail type="issue"><caption>no.</caption><number>3</number></detail><extent unit="pages"><start>669</start><end>678</end><total>10</total></extent></part></relatedItem><identifier type="istex">5045A5BA6C544A4165C91CEB0B1C347A8D4C9381</identifier><identifier type="DOI">10.1002/etc.5620200328</identifier><identifier type="ArticleID">ETC5620200328</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2001 SETAC</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Wiley Periodicals, Inc.</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000E32 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000E32 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Agronomie
|area= SisAgriV1
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:5045A5BA6C544A4165C91CEB0B1C347A8D4C9381
|texte= Probabilistic risk assessment of cotton pyrethroids: III. A spatial analysis of the Mississippi, USA, cotton landscape
}}
| This area was generated with Dilib version V0.6.28. |  |