Multilevel analysis of a riverscape under rapid urbanization in the Yangtze delta plain, China: 1965-2006.
Identifieur interne : 000063 ( PubMed/Corpus ); précédent : 000062; suivant : 000064Multilevel analysis of a riverscape under rapid urbanization in the Yangtze delta plain, China: 1965-2006.
Auteurs : Huifeng Zhu ; Xiangyu Ren ; Yan Jin ; Kai Yang ; Yue CheSource :
- Environmental monitoring and assessment [ 1573-2959 ] ; 2015.
English descriptors
- KwdEn :
- MESH :
- geographic : China.
- chemistry : Rivers.
- methods : Environmental Monitoring.
- Ecology, Geographic Information Systems, Models, Theoretical, Multilevel Analysis, Urbanization.
Abstract
River networks are the typical hydrological characteristic of the Yangtze delta plain. They have important ecological service functions and a unique landscape, which has been significantly degraded during the past 50 years. Qingpu District in Shanghai has been used as study area to develop an integrated method for riverscape assessment in floodplain areas with a dense river network. This integrated method bridges geomorgraphy, landscape, and regional planning. Indicators of sinuosity, connectivity, and circuitry have been integrated into a three-level framework, including river, intersection, and river network level. Furthermore, this method was integrated by the geographic information system method and stepwise regression to identify the riverscape response to the changes in the use of the land. The spatial and temporal changes of the riverscape and land use were calculated for each grid (3000 m×3000 m) from 1965 to 2006. The results indicated that the riverscape had been significantly degraded during the study period in terms of sinuosity, connectivity, and circuitry reducing. The land use changed significantly with more building areas and less water regions and agricultural land. Additionally, the regression results indicated that several specific land use conversion types had had strong effects on the change in the riverscape structure. Finally, according to the assessing method, we have proposed specific planning and management recommendations based on the pressure-state-response model to protect the riverscape from the impact of rapid urbanization.
DOI: 10.1007/s10661-015-4931-6
PubMed: 26511852
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for Urban Ecological Processes and Eco-Restoration, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China.</nlm:affiliation></affiliation></author><author><name sortKey="Yang, Kai" sort="Yang, Kai" uniqKey="Yang K" first="Kai" last="Yang">Kai Yang</name><affiliation><nlm:affiliation>Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China.</nlm:affiliation></affiliation></author><author><name sortKey="Che, Yue" sort="Che, Yue" uniqKey="Che Y" first="Yue" last="Che">Yue Che</name><affiliation><nlm:affiliation>Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China. yche@des.ecnu.edu.cn.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:26511852</idno><idno 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University, No. 500 Dongchuan Road, Shanghai, 200241, China.</nlm:affiliation></affiliation></author><author><name sortKey="Jin, Yan" sort="Jin, Yan" uniqKey="Jin Y" first="Yan" last="Jin">Yan Jin</name><affiliation><nlm:affiliation>Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China.</nlm:affiliation></affiliation></author><author><name sortKey="Yang, Kai" sort="Yang, Kai" uniqKey="Yang K" first="Kai" last="Yang">Kai Yang</name><affiliation><nlm:affiliation>Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China.</nlm:affiliation></affiliation></author><author><name sortKey="Che, Yue" sort="Che, Yue" uniqKey="Che Y" first="Yue" last="Che">Yue Che</name><affiliation><nlm:affiliation>Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China. yche@des.ecnu.edu.cn.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Environmental monitoring and assessment</title><idno type="eISSN">1573-2959</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>China</term><term>Ecology</term><term>Environmental Monitoring (methods)</term><term>Geographic Information Systems</term><term>Models, Theoretical</term><term>Multilevel Analysis</term><term>Rivers (chemistry)</term><term>Urbanization</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Rivers</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Environmental Monitoring</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Ecology</term><term>Geographic Information Systems</term><term>Models, Theoretical</term><term>Multilevel Analysis</term><term>Urbanization</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">River networks are the typical hydrological characteristic of the Yangtze delta plain. They have important ecological service functions and a unique landscape, which has been significantly degraded during the past 50 years. Qingpu District in Shanghai has been used as study area to develop an integrated method for riverscape assessment in floodplain areas with a dense river network. This integrated method bridges geomorgraphy, landscape, and regional planning. Indicators of sinuosity, connectivity, and circuitry have been integrated into a three-level framework, including river, intersection, and river network level. Furthermore, this method was integrated by the geographic information system method and stepwise regression to identify the riverscape response to the changes in the use of the land. The spatial and temporal changes of the riverscape and land use were calculated for each grid (3000 m×3000 m) from 1965 to 2006. The results indicated that the riverscape had been significantly degraded during the study period in terms of sinuosity, connectivity, and circuitry reducing. The land use changed significantly with more building areas and less water regions and agricultural land. Additionally, the regression results indicated that several specific land use conversion types had had strong effects on the change in the riverscape structure. Finally, according to the assessing method, we have proposed specific planning and management recommendations based on the pressure-state-response model to protect the riverscape from the impact of rapid urbanization.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26511852</PMID><DateCreated><Year>2015</Year><Month>10</Month><Day>29</Day></DateCreated><DateCompleted><Year>2016</Year><Month>05</Month><Day>05</Day></DateCompleted><DateRevised><Year>2015</Year><Month>10</Month><Day>29</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1573-2959</ISSN><JournalIssue CitedMedium="Internet"><Volume>187</Volume><Issue>11</Issue><PubDate><Year>2015</Year><Month>Nov</Month></PubDate></JournalIssue><Title>Environmental monitoring and assessment</Title><ISOAbbreviation>Environ Monit Assess</ISOAbbreviation></Journal><ArticleTitle>Multilevel analysis of a riverscape under rapid urbanization in the Yangtze delta plain, China: 1965-2006.</ArticleTitle><Pagination><MedlinePgn>711</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s10661-015-4931-6</ELocationID><Abstract><AbstractText>River networks are the typical hydrological characteristic of the Yangtze delta plain. They have important ecological service functions and a unique landscape, which has been significantly degraded during the past 50 years. Qingpu District in Shanghai has been used as study area to develop an integrated method for riverscape assessment in floodplain areas with a dense river network. This integrated method bridges geomorgraphy, landscape, and regional planning. Indicators of sinuosity, connectivity, and circuitry have been integrated into a three-level framework, including river, intersection, and river network level. Furthermore, this method was integrated by the geographic information system method and stepwise regression to identify the riverscape response to the changes in the use of the land. The spatial and temporal changes of the riverscape and land use were calculated for each grid (3000 m×3000 m) from 1965 to 2006. The results indicated that the riverscape had been significantly degraded during the study period in terms of sinuosity, connectivity, and circuitry reducing. The land use changed significantly with more building areas and less water regions and agricultural land. Additionally, the regression results indicated that several specific land use conversion types had had strong effects on the change in the riverscape structure. Finally, according to the assessing method, we have proposed specific planning and management recommendations based on the pressure-state-response model to protect the riverscape from the impact of rapid urbanization.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhu</LastName><ForeName>Huifeng</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ren</LastName><ForeName>Xiangyu</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jin</LastName><ForeName>Yan</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Kai</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Che</LastName><ForeName>Yue</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China. yche@des.ecnu.edu.cn.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>10</Month><Day>28</Day></ArticleDate></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="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004463" MajorTopicYN="N">Ecology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004784" MajorTopicYN="N">Environmental Monitoring</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D040362" MajorTopicYN="N">Geographic Information Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="N">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055361" MajorTopicYN="N">Multilevel Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D045483" MajorTopicYN="N">Rivers</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014507" MajorTopicYN="Y">Urbanization</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Geomorgraphy</Keyword><Keyword MajorTopicYN="N">Land use</Keyword><Keyword MajorTopicYN="N">River network</Keyword><Keyword MajorTopicYN="N">Urbanization</Keyword><Keyword MajorTopicYN="N">Yangtze delta plain</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>04</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2015</Year><Month>10</Month><Day>20</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>10</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>10</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>5</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26511852</ArticleId><ArticleId IdType="doi">10.1007/s10661-015-4931-6</ArticleId><ArticleId IdType="pii">10.1007/s10661-015-4931-6</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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