Methodological scheme for designing the monitoring of genetically modified crops at the regional scale.
Identifieur interne : 000392 ( PubMed/Corpus ); précédent : 000391; suivant : 000393Methodological scheme for designing the monitoring of genetically modified crops at the regional scale.
Auteurs : F. Graef ; W. Züghart ; B. Hommel ; U. Heinrich ; U. Stachow ; A. WernerSource :
- Environmental monitoring and assessment [ 0167-6369 ] ; 2005.
English descriptors
- KwdEn :
- MESH :
- geographic : Germany.
- methods : Environmental Monitoring.
- Beta vulgaris, Brassica napus, Crops, Agricultural, Plants, Genetically Modified, Solanum tuberosum, Zea mays.
Abstract
According to EC regulations the deliberate release of genetically modified (GM) crops into the agro-environment needs to be accompanied by environmental monitoring to detect potential adverse effects, e.g. unacceptable levels of gene flow from GM to non-GM crops, or adverse effects on single species or species groups thus reducing biodiversity. There is, however, considerable scientific and public debate on how GM crops should be monitored with sufficient accuracy, discussing questions of potential adverse effects, agro-environmental variables or indicators to be monitored and respective detection methods; Another basic component, the appropriate number and location of monitoring sites, is hardly considered. Currently, no consistent GM crop monitoring approach combines these components systematically. This study focuses on and integrates spatial agro-environmental aspects at a landscape level in order to design monitoring networks. Based on examples of environmental variables associated with the cropping of Bt-Maize (Zea maize L.), herbicide-tolerant (HT) winter oilseed rape (Brassica napus L.), HT sugar beet (Beta vulgaris L.), and starch-modified potato (Solanum tuberosum L.), we develop a transferable framework and assessment scheme that comprises anticipated adverse environmental effects, variables to be measured and monitoring methods. These we integrate with a rule-based GIS (geographic information system) analysis, applying widely available spatial area and point information from existing environmental networks. This is used to develop scenarios with optimised regional GM crop monitoring networks.
DOI: 10.1007/s10661-005-8044-5
PubMed: 16311819
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pubmed:16311819Le document en format XML
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Heinrich</name></author><author><name sortKey="Stachow, U" sort="Stachow, U" uniqKey="Stachow U" first="U" last="Stachow">U. Stachow</name></author><author><name sortKey="Werner, A" sort="Werner, A" uniqKey="Werner A" first="A" last="Werner">A. Werner</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2005">2005</date><idno type="RBID">pubmed:16311819</idno><idno type="pmid">16311819</idno><idno type="doi">10.1007/s10661-005-8044-5</idno><idno type="wicri:Area/PubMed/Corpus">000392</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000392</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Methodological scheme for designing the monitoring of genetically modified crops at the regional scale.</title><author><name sortKey="Graef, F" sort="Graef, F" uniqKey="Graef F" first="F" last="Graef">F. Graef</name><affiliation><nlm:affiliation>Department for Land Use Systems and Landscape Ecology, Centre for Agricultural Landscape- and Land Use Research (ZALF), Eberswalder Strasse 84, D-15374 Müncheberg, Germany. fgraef@zalf.de</nlm:affiliation></affiliation></author><author><name sortKey="Zughart, W" sort="Zughart, W" uniqKey="Zughart W" first="W" last="Züghart">W. Züghart</name></author><author><name sortKey="Hommel, B" sort="Hommel, B" uniqKey="Hommel B" first="B" last="Hommel">B. Hommel</name></author><author><name sortKey="Heinrich, U" sort="Heinrich, U" uniqKey="Heinrich U" first="U" last="Heinrich">U. Heinrich</name></author><author><name sortKey="Stachow, U" sort="Stachow, U" uniqKey="Stachow U" first="U" last="Stachow">U. Stachow</name></author><author><name sortKey="Werner, A" sort="Werner, A" uniqKey="Werner A" first="A" last="Werner">A. Werner</name></author></analytic><series><title level="j">Environmental monitoring and assessment</title><idno type="ISSN">0167-6369</idno><imprint><date when="2005" type="published">2005</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Beta vulgaris</term><term>Brassica napus</term><term>Crops, Agricultural</term><term>Environmental Monitoring (methods)</term><term>Germany</term><term>Plants, Genetically Modified</term><term>Solanum tuberosum</term><term>Zea mays</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Germany</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Environmental Monitoring</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Beta vulgaris</term><term>Brassica napus</term><term>Crops, Agricultural</term><term>Plants, Genetically Modified</term><term>Solanum tuberosum</term><term>Zea mays</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">According to EC regulations the deliberate release of genetically modified (GM) crops into the agro-environment needs to be accompanied by environmental monitoring to detect potential adverse effects, e.g. unacceptable levels of gene flow from GM to non-GM crops, or adverse effects on single species or species groups thus reducing biodiversity. There is, however, considerable scientific and public debate on how GM crops should be monitored with sufficient accuracy, discussing questions of potential adverse effects, agro-environmental variables or indicators to be monitored and respective detection methods; Another basic component, the appropriate number and location of monitoring sites, is hardly considered. Currently, no consistent GM crop monitoring approach combines these components systematically. This study focuses on and integrates spatial agro-environmental aspects at a landscape level in order to design monitoring networks. Based on examples of environmental variables associated with the cropping of Bt-Maize (Zea maize L.), herbicide-tolerant (HT) winter oilseed rape (Brassica napus L.), HT sugar beet (Beta vulgaris L.), and starch-modified potato (Solanum tuberosum L.), we develop a transferable framework and assessment scheme that comprises anticipated adverse environmental effects, variables to be measured and monitoring methods. These we integrate with a rule-based GIS (geographic information system) analysis, applying widely available spatial area and point information from existing environmental networks. This is used to develop scenarios with optimised regional GM crop monitoring networks.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">16311819</PMID><DateCreated><Year>2005</Year><Month>11</Month><Day>28</Day></DateCreated><DateCompleted><Year>2006</Year><Month>05</Month><Day>10</Day></DateCompleted><DateRevised><Year>2009</Year><Month>11</Month><Day>03</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0167-6369</ISSN><JournalIssue CitedMedium="Print"><Volume>111</Volume><Issue>1-3</Issue><PubDate><Year>2005</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Environmental monitoring and assessment</Title><ISOAbbreviation>Environ Monit Assess</ISOAbbreviation></Journal><ArticleTitle>Methodological scheme for designing the monitoring of genetically modified crops at the regional scale.</ArticleTitle><Pagination><MedlinePgn>1-26</MedlinePgn></Pagination><Abstract><AbstractText>According to EC regulations the deliberate release of genetically modified (GM) crops into the agro-environment needs to be accompanied by environmental monitoring to detect potential adverse effects, e.g. unacceptable levels of gene flow from GM to non-GM crops, or adverse effects on single species or species groups thus reducing biodiversity. There is, however, considerable scientific and public debate on how GM crops should be monitored with sufficient accuracy, discussing questions of potential adverse effects, agro-environmental variables or indicators to be monitored and respective detection methods; Another basic component, the appropriate number and location of monitoring sites, is hardly considered. Currently, no consistent GM crop monitoring approach combines these components systematically. This study focuses on and integrates spatial agro-environmental aspects at a landscape level in order to design monitoring networks. Based on examples of environmental variables associated with the cropping of Bt-Maize (Zea maize L.), herbicide-tolerant (HT) winter oilseed rape (Brassica napus L.), HT sugar beet (Beta vulgaris L.), and starch-modified potato (Solanum tuberosum L.), we develop a transferable framework and assessment scheme that comprises anticipated adverse environmental effects, variables to be measured and monitoring methods. These we integrate with a rule-based GIS (geographic information system) analysis, applying widely available spatial area and point information from existing environmental networks. This is used to develop scenarios with optimised regional GM crop monitoring networks.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Graef</LastName><ForeName>F</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Department for Land Use Systems and Landscape Ecology, Centre for Agricultural Landscape- and Land Use Research (ZALF), Eberswalder Strasse 84, D-15374 Müncheberg, Germany. fgraef@zalf.de</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Züghart</LastName><ForeName>W</ForeName><Initials>W</Initials></Author><Author ValidYN="Y"><LastName>Hommel</LastName><ForeName>B</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>Heinrich</LastName><ForeName>U</ForeName><Initials>U</Initials></Author><Author ValidYN="Y"><LastName>Stachow</LastName><ForeName>U</ForeName><Initials>U</Initials></Author><Author ValidYN="Y"><LastName>Werner</LastName><ForeName>A</ForeName><Initials>A</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Environ Monit Assess</MedlineTA><NlmUniqueID>8508350</NlmUniqueID><ISSNLinking>0167-6369</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D027461" MajorTopicYN="N">Beta vulgaris</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D029688" MajorTopicYN="N">Brassica napus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018556" MajorTopicYN="N">Crops, Agricultural</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004784" MajorTopicYN="N">Environmental Monitoring</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D030821" MajorTopicYN="Y">Plants, Genetically Modified</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011198" MajorTopicYN="N">Solanum tuberosum</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003313" MajorTopicYN="N">Zea mays</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2004</Year><Month>08</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2004</Year><Month>12</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2005</Year><Month>11</Month><Day>29</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2006</Year><Month>5</Month><Day>11</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2005</Year><Month>11</Month><Day>29</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">16311819</ArticleId><ArticleId IdType="doi">10.1007/s10661-005-8044-5</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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