Modeling the dynamics of landscape structure in Asia’s emerging desakota regions: a case study in Shenzhen
Identifieur interne : 000D89 ( Istex/Corpus ); précédent : 000D88; suivant : 000D90Modeling the dynamics of landscape structure in Asia’s emerging desakota regions: a case study in Shenzhen
Auteurs : Daniel Z. Sui ; Hui ZengSource :
- Landscape and Urban Planning [ 0169-2046 ] ; 2001.
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- KwdEn :
Abstract
The rapid urbanization taking place in Asia since 1970 has exhibited a process different from that of the developed countries in the West. This process has contributed to the emergence of a new landscape in Asia — widely known as the desakota (a combination of two Indonesian words: “desa” for village, “kota” for town) regions described in the McGee–Ginsburg model. These desakota regions are characterized by an intense mix of agricultural and non-agricultural activities that often stretch along corridors between large city cores. Although, the McGee–Ginsburg model captures the socio-demographic dimensions of the rapid urbanization process, little is known about the dynamics of landscape structures in the emerging desakota regions in Asia. By linking remote sensing, landscape characterization indices, and cellular automata modeling with geographic information systems (GIS), this paper develops a GIS-based spatial analysis and modeling approach to study the landscape dynamics of the desakota regions in southeast China. We tested our method using data between 1992 and 1996 for the city of Longhua in the Shenzhen Special Economic Zone — one of the fastest growing areas in southeast China. The results not only confirm the effectiveness of GIS-based spatial analysis and modeling approach in studying the ecological impacts of human activities, but also reveal the salient features of landscape dynamics in the desakota regions. Drawing from the results of this research, we conclude that the pace of urbanization and the size of desakota regions must be controlled in order to create a sustainable future in developing countries.
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DOI: 10.1016/S0169-2046(00)00136-5
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This process has contributed to the emergence of a new landscape in Asia — widely known as the desakota (a combination of two Indonesian words: “desa” for village, “kota” for town) regions described in the McGee–Ginsburg model. These desakota regions are characterized by an intense mix of agricultural and non-agricultural activities that often stretch along corridors between large city cores. Although, the McGee–Ginsburg model captures the socio-demographic dimensions of the rapid urbanization process, little is known about the dynamics of landscape structures in the emerging desakota regions in Asia. By linking remote sensing, landscape characterization indices, and cellular automata modeling with geographic information systems (GIS), this paper develops a GIS-based spatial analysis and modeling approach to study the landscape dynamics of the desakota regions in southeast China. We tested our method using data between 1992 and 1996 for the city of Longhua in the Shenzhen Special Economic Zone — one of the fastest growing areas in southeast China. The results not only confirm the effectiveness of GIS-based spatial analysis and modeling approach in studying the ecological impacts of human activities, but also reveal the salient features of landscape dynamics in the desakota regions. Drawing from the results of this research, we conclude that the pace of urbanization and the size of desakota regions must be controlled in order to create a sustainable future in developing countries.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Daniel Z. 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This process has contributed to the emergence of a new landscape in Asia — widely known as the desakota (a combination of two Indonesian words: “desa” for village, “kota” for town) regions described in the McGee–Ginsburg model. These desakota regions are characterized by an intense mix of agricultural and non-agricultural activities that often stretch along corridors between large city cores. Although, the McGee–Ginsburg model captures the socio-demographic dimensions of the rapid urbanization process, little is known about the dynamics of landscape structures in the emerging desakota regions in Asia. By linking remote sensing, landscape characterization indices, and cellular automata modeling with geographic information systems (GIS), this paper develops a GIS-based spatial analysis and modeling approach to study the landscape dynamics of the desakota regions in southeast China. We tested our method using data between 1992 and 1996 for the city of Longhua in the Shenzhen Special Economic Zone — one of the fastest growing areas in southeast China. The results not only confirm the effectiveness of GIS-based spatial analysis and modeling approach in studying the ecological impacts of human activities, but also reveal the salient features of landscape dynamics in the desakota regions. Drawing from the results of this research, we conclude that the pace of urbanization and the size of desakota regions must be controlled in order to create a sustainable future in developing countries.</abstract><qualityIndicators><score>7.988</score><pdfVersion>1.2</pdfVersion><pdfPageSize>522 x 745 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>4</keywordCount><abstractCharCount>1643</abstractCharCount><pdfWordCount>7520</pdfWordCount><pdfCharCount>47659</pdfCharCount><pdfPageCount>16</pdfPageCount><abstractWordCount>249</abstractWordCount></qualityIndicators><title>Modeling the dynamics of landscape structure in Asia’s emerging desakota regions: a case study in Shenzhen</title><pii><json:string>S0169-2046(00)00136-5</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>53</volume><pii><json:string>S0169-2046(00)X0052-7</json:string></pii><pages><last>52</last><first>37</first></pages><issn><json:string>0169-2046</json:string></issn><issue>1–4</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Landscape and Urban Planning</title><publicationDate>2001</publicationDate></host><categories><wos><json:string>social science</json:string><json:string>urban studies</json:string><json:string>geography</json:string><json:string>environmental studies</json:string><json:string>science</json:string><json:string>geography, physical</json:string><json:string>ecology</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>built environment & design</json:string><json:string>urban & regional planning</json:string></scienceMetrix></categories><publicationDate>2001</publicationDate><copyrightDate>2001</copyrightDate><doi><json:string>10.1016/S0169-2046(00)00136-5</json:string></doi><id>726427C95143B095DA2AF1AFD00CCEA9CBCC3091</id><score>0.0412034</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/726427C95143B095DA2AF1AFD00CCEA9CBCC3091/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/726427C95143B095DA2AF1AFD00CCEA9CBCC3091/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/726427C95143B095DA2AF1AFD00CCEA9CBCC3091/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Modeling the dynamics of landscape structure in Asia’s emerging desakota regions: a case study in Shenzhen</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©2001 Elsevier Science B.V.</p></availability><date>2001</date></publicationStmt><notesStmt><note type="content">Fig. 1: The McGee–Ginsburg model: the emerging desakota regions in Asia.</note><note type="content">Fig. 2: Location of study area: the city of Longhua, Shenzhen Special Economic Zone.</note><note type="content">Fig. 3: Lacunarity index curve for major landscape types.</note><note type="content">Fig. 4: Modeling testing results: actual vs. simulated urban built-up areas, 1992–1996.</note><note type="content">Fig. 5: Expansion of desakota regions by 2010: simulation results according to four scenarios.</note><note type="content">Fig. 6: Lacunarity index for the desakota region according to four different development scenarios.</note><note type="content">Table 1: Fragmentation and neighborhood indices for major land cover types in the desokota region: 1988–1996</note><note type="content">Table 2: Number of patches and shape indexes according to different urban development scenarios</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Modeling the dynamics of landscape structure in Asia’s emerging desakota regions: a case study in Shenzhen</title><author xml:id="author-1"><persName><forename type="first">Daniel Z.</forename><surname>Sui</surname></persName><email>d-sui@tamu.edu</email><note type="biography">Tel.: +1-979-845-7154; fax: +1-979-862-4487.</note><affiliation>Tel.: +1-979-845-7154; fax: +1-979-862-4487.</affiliation><affiliation>Department of Geography, Texas A&M University, College Station, TX 77843-3147, USA</affiliation></author><author xml:id="author-2"><persName><forename type="first">Hui</forename><surname>Zeng</surname></persName><email>d-sui@tamu.edu</email><note type="correspondence"><p>Corresponding author. Tel.: +86-10-62751179; fax: +86-10-62751179</p></note><affiliation>Department of Urban and Environmental Sciences, Peking University, Beijing 100781, PR China</affiliation></author></analytic><monogr><title level="j">Landscape and Urban Planning</title><title level="j" type="abbrev">LAND</title><idno type="pISSN">0169-2046</idno><idno type="PII">S0169-2046(00)X0052-7</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2001"></date><biblScope unit="volume">53</biblScope><biblScope unit="issue">1–4</biblScope><biblScope unit="page" from="37">37</biblScope><biblScope unit="page" to="52">52</biblScope></imprint></monogr><idno type="istex">726427C95143B095DA2AF1AFD00CCEA9CBCC3091</idno><idno type="DOI">10.1016/S0169-2046(00)00136-5</idno><idno type="PII">S0169-2046(00)00136-5</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2001</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>The rapid urbanization taking place in Asia since 1970 has exhibited a process different from that of the developed countries in the West. This process has contributed to the emergence of a new landscape in Asia — widely known as the desakota (a combination of two Indonesian words: “desa” for village, “kota” for town) regions described in the McGee–Ginsburg model. These desakota regions are characterized by an intense mix of agricultural and non-agricultural activities that often stretch along corridors between large city cores. Although, the McGee–Ginsburg model captures the socio-demographic dimensions of the rapid urbanization process, little is known about the dynamics of landscape structures in the emerging desakota regions in Asia. By linking remote sensing, landscape characterization indices, and cellular automata modeling with geographic information systems (GIS), this paper develops a GIS-based spatial analysis and modeling approach to study the landscape dynamics of the desakota regions in southeast China. We tested our method using data between 1992 and 1996 for the city of Longhua in the Shenzhen Special Economic Zone — one of the fastest growing areas in southeast China. The results not only confirm the effectiveness of GIS-based spatial analysis and modeling approach in studying the ecological impacts of human activities, but also reveal the salient features of landscape dynamics in the desakota regions. Drawing from the results of this research, we conclude that the pace of urbanization and the size of desakota regions must be controlled in order to create a sustainable future in developing countries.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>Landscape dynamics</term></item><item><term>Desakota regions</term></item><item><term>GIS</term></item><item><term>Cellular automata</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2000-10-13">Modified</change><change when="2001">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/726427C95143B095DA2AF1AFD00CCEA9CBCC3091/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:entity SYSTEM="gr4" NDATA="IMAGE" name="gr4"></istex:entity><istex:entity SYSTEM="gr5" NDATA="IMAGE" name="gr5"></istex:entity><istex:entity SYSTEM="gr6" NDATA="IMAGE" name="gr6"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla" xml:lang="en"><item-info><jid>LAND</jid><aid>758</aid><ce:pii>S0169-2046(00)00136-5</ce:pii><ce:doi>10.1016/S0169-2046(00)00136-5</ce:doi><ce:copyright type="full-transfer" year="2001">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>Modeling the dynamics of landscape structure in Asia’s emerging desakota regions: a case study in Shenzhen</ce:title><ce:author-group><ce:author biographyid="VT1"><ce:given-name>Daniel Z.</ce:given-name><ce:surname>Sui</ce:surname><ce:cross-ref refid="FN1"><ce:sup>1</ce:sup></ce:cross-ref><ce:cross-ref refid="AFF1"><ce:sup>a</ce:sup></ce:cross-ref><ce:e-address>d-sui@tamu.edu</ce:e-address></ce:author><ce:author biographyid="VT2"><ce:given-name>Hui</ce:given-name><ce:surname>Zeng</ce:surname><ce:cross-ref refid="AFF2"><ce:sup>b</ce:sup></ce:cross-ref><ce:cross-ref refid="CORR1">*</ce:cross-ref><ce:e-address>hzeng@urban.pku.edu.cn</ce:e-address></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>Department of Geography, Texas A&M University, College Station, TX 77843-3147, USA</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>Department of Urban and Environmental Sciences, Peking University, Beijing 100781, PR China</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Tel.: +86-10-62751179; fax: +86-10-62751179</ce:text></ce:correspondence><ce:footnote id="FN1"><ce:label>1</ce:label><ce:note-para>Tel.: +1-979-845-7154; fax: +1-979-862-4487.</ce:note-para></ce:footnote></ce:author-group><ce:date-received day="1" month="6" year="2000"></ce:date-received><ce:date-revised day="13" month="10" year="2000"></ce:date-revised><ce:date-accepted day="19" month="10" year="2000"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>The rapid urbanization taking place in Asia since 1970 has exhibited a process different from that of the developed countries in the West. This process has contributed to the emergence of a new landscape in Asia — widely known as the <ce:italic>desakota</ce:italic> (a combination of two Indonesian words: “<ce:italic>desa</ce:italic>” for village, “<ce:italic>kota</ce:italic>” for town) regions described in the McGee–Ginsburg model. These desakota regions are characterized by an intense mix of agricultural and non-agricultural activities that often stretch along corridors between large city cores. Although, the McGee–Ginsburg model captures the socio-demographic dimensions of the rapid urbanization process, little is known about the dynamics of landscape structures in the emerging desakota regions in Asia. By linking remote sensing, landscape characterization indices, and cellular automata modeling with geographic information systems (GIS), this paper develops a GIS-based spatial analysis and modeling approach to study the landscape dynamics of the desakota regions in southeast China. We tested our method using data between 1992 and 1996 for the city of Longhua in the Shenzhen Special Economic Zone — one of the fastest growing areas in southeast China. The results not only confirm the effectiveness of GIS-based spatial analysis and modeling approach in studying the ecological impacts of human activities, but also reveal the salient features of landscape dynamics in the desakota regions. Drawing from the results of this research, we conclude that the pace of urbanization and the size of desakota regions must be controlled in order to create a sustainable future in developing countries.</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>Landscape dynamics</ce:text></ce:keyword><ce:keyword><ce:text>Desakota regions</ce:text></ce:keyword><ce:keyword><ce:text>GIS</ce:text></ce:keyword><ce:keyword><ce:text>Cellular automata</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Modeling the dynamics of landscape structure in Asia’s emerging desakota regions: a case study in Shenzhen</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>Modeling the dynamics of landscape structure in Asia’s emerging desakota regions: a case study in Shenzhen</title></titleInfo><name type="personal"><namePart type="given">Daniel Z.</namePart><namePart type="family">Sui</namePart><affiliation>E-mail: d-sui@tamu.edu</affiliation><affiliation>Department of Geography, Texas A&M University, College Station, TX 77843-3147, USA</affiliation><description>Tel.: +1-979-845-7154; fax: +1-979-862-4487.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Hui</namePart><namePart type="family">Zeng</namePart><affiliation>E-mail: d-sui@tamu.edu</affiliation><affiliation>Department of Urban and Environmental Sciences, Peking University, Beijing 100781, PR China</affiliation><description>Corresponding author. Tel.: +86-10-62751179; fax: +86-10-62751179</description><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">2001</dateIssued><dateModified encoding="w3cdtf">2000-10-13</dateModified><copyrightDate encoding="w3cdtf">2001</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">The rapid urbanization taking place in Asia since 1970 has exhibited a process different from that of the developed countries in the West. This process has contributed to the emergence of a new landscape in Asia — widely known as the desakota (a combination of two Indonesian words: “desa” for village, “kota” for town) regions described in the McGee–Ginsburg model. These desakota regions are characterized by an intense mix of agricultural and non-agricultural activities that often stretch along corridors between large city cores. Although, the McGee–Ginsburg model captures the socio-demographic dimensions of the rapid urbanization process, little is known about the dynamics of landscape structures in the emerging desakota regions in Asia. By linking remote sensing, landscape characterization indices, and cellular automata modeling with geographic information systems (GIS), this paper develops a GIS-based spatial analysis and modeling approach to study the landscape dynamics of the desakota regions in southeast China. We tested our method using data between 1992 and 1996 for the city of Longhua in the Shenzhen Special Economic Zone — one of the fastest growing areas in southeast China. The results not only confirm the effectiveness of GIS-based spatial analysis and modeling approach in studying the ecological impacts of human activities, but also reveal the salient features of landscape dynamics in the desakota regions. Drawing from the results of this research, we conclude that the pace of urbanization and the size of desakota regions must be controlled in order to create a sustainable future in developing countries.</abstract><note type="content">Fig. 1: The McGee–Ginsburg model: the emerging desakota regions in Asia.</note><note type="content">Fig. 2: Location of study area: the city of Longhua, Shenzhen Special Economic Zone.</note><note type="content">Fig. 3: Lacunarity index curve for major landscape types.</note><note type="content">Fig. 4: Modeling testing results: actual vs. simulated urban built-up areas, 1992–1996.</note><note type="content">Fig. 5: Expansion of desakota regions by 2010: simulation results according to four scenarios.</note><note type="content">Fig. 6: Lacunarity index for the desakota region according to four different development scenarios.</note><note type="content">Table 1: Fragmentation and neighborhood indices for major land cover types in the desokota region: 1988–1996</note><note type="content">Table 2: Number of patches and shape indexes according to different urban development scenarios</note><subject lang="en"><genre>Keywords</genre><topic>Landscape dynamics</topic><topic>Desakota regions</topic><topic>GIS</topic><topic>Cellular automata</topic></subject><relatedItem type="host"><titleInfo><title>Landscape and Urban Planning</title></titleInfo><titleInfo type="abbreviated"><title>LAND</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">20010130</dateIssued></originInfo><identifier type="ISSN">0169-2046</identifier><identifier type="PII">S0169-2046(00)X0052-7</identifier><part><date>20010130</date><detail type="volume"><number>53</number><caption>vol.</caption></detail><detail type="issue"><number>1–4</number><caption>no.</caption></detail><extent unit="issue pages"><start>1</start><end>199</end></extent><extent unit="pages"><start>37</start><end>52</end></extent></part></relatedItem><identifier type="istex">726427C95143B095DA2AF1AFD00CCEA9CBCC3091</identifier><identifier type="DOI">10.1016/S0169-2046(00)00136-5</identifier><identifier type="PII">S0169-2046(00)00136-5</identifier><accessCondition type="use and reproduction" contentType="copyright">©2001 Elsevier Science B.V.</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science B.V., ©2001</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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