Simulation of changes in the spatial pattern of land use in China
Identifieur interne : 000859 ( Istex/Corpus ); précédent : 000858; suivant : 000860Simulation of changes in the spatial pattern of land use in China
Auteurs : P. H. Verburg ; A. Veldkamp ; L. O. FrescoSource :
- Applied Geography [ 0143-6228 ] ; 1999.
Abstract
This paper presents a model for simulating country-wide changes in the land use pattern of China. It is based upon an empirical analysis of the spatial distribution of land use types in China which takes into account socioeconomic as well as geophysical variables. The empirical analysis indicates that a reasonably complete description of the land use distribution can be made by including demographic, soil-related, geomorphological and climatic variables. A multi-scale approach is followed to capture top-down as well as bottom-up factors affecting land use allocation. Competition between different land use types determines which changes will actually take place. The most important land use conversions in China, caused by urbanization, desertification and afforestation, are simulated for a scenario based upon a trend analysis of present land use dynamics. The spatially explicit results allow an analysis of the consequences of a decrease in cultivated area and related production capacity. A preliminary analysis shows that the average production capacity of the lost arable lands is somewhat less than the average production capacity of all agricultural lands together.
Url:
DOI: 10.1016/S0143-6228(99)00003-X
Links to Exploration step
ISTEX:4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2CLe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Simulation of changes in the spatial pattern of land use in China</title><author><name sortKey="Verburg, P H" sort="Verburg, P H" uniqKey="Verburg P" first="P. H." last="Verburg">P. H. Verburg</name><affiliation><mods:affiliation>Department of Agronomy, Wageningen Agricultural University, Haarweg 333, 6709 RZ Wageningen, The Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Veldkamp, A" sort="Veldkamp, A" uniqKey="Veldkamp A" first="A." last="Veldkamp">A. Veldkamp</name><affiliation><mods:affiliation>Laboratory of Soil Science and Geology, Wageningen Agricultural University, PO Box 37, 6700 AA Wageningen, The Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Fresco, L O" sort="Fresco, L O" uniqKey="Fresco L" first="L. O." last="Fresco">L. O. Fresco</name><affiliation><mods:affiliation>Department of Agronomy, Wageningen Agricultural University, Haarweg 333, 6709 RZ Wageningen, The Netherlands</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2C</idno><date when="1999" year="1999">1999</date><idno type="doi">10.1016/S0143-6228(99)00003-X</idno><idno type="url">https://api.istex.fr/document/4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2C/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000859</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000859</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Simulation of changes in the spatial pattern of land use in China</title><author><name sortKey="Verburg, P H" sort="Verburg, P H" uniqKey="Verburg P" first="P. H." last="Verburg">P. H. Verburg</name><affiliation><mods:affiliation>Department of Agronomy, Wageningen Agricultural University, Haarweg 333, 6709 RZ Wageningen, The Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Veldkamp, A" sort="Veldkamp, A" uniqKey="Veldkamp A" first="A." last="Veldkamp">A. Veldkamp</name><affiliation><mods:affiliation>Laboratory of Soil Science and Geology, Wageningen Agricultural University, PO Box 37, 6700 AA Wageningen, The Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Fresco, L O" sort="Fresco, L O" uniqKey="Fresco L" first="L. O." last="Fresco">L. O. Fresco</name><affiliation><mods:affiliation>Department of Agronomy, Wageningen Agricultural University, Haarweg 333, 6709 RZ Wageningen, The Netherlands</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Applied Geography</title><title level="j" type="abbrev">JAPG</title><idno type="ISSN">0143-6228</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1999">1999</date><biblScope unit="volume">19</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="211">211</biblScope><biblScope unit="page" to="233">233</biblScope></imprint><idno type="ISSN">0143-6228</idno></series><idno type="istex">4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2C</idno><idno type="DOI">10.1016/S0143-6228(99)00003-X</idno><idno type="PII">S0143-6228(99)00003-X</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0143-6228</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents a model for simulating country-wide changes in the land use pattern of China. It is based upon an empirical analysis of the spatial distribution of land use types in China which takes into account socioeconomic as well as geophysical variables. The empirical analysis indicates that a reasonably complete description of the land use distribution can be made by including demographic, soil-related, geomorphological and climatic variables. A multi-scale approach is followed to capture top-down as well as bottom-up factors affecting land use allocation. Competition between different land use types determines which changes will actually take place. The most important land use conversions in China, caused by urbanization, desertification and afforestation, are simulated for a scenario based upon a trend analysis of present land use dynamics. The spatially explicit results allow an analysis of the consequences of a decrease in cultivated area and related production capacity. A preliminary analysis shows that the average production capacity of the lost arable lands is somewhat less than the average production capacity of all agricultural lands together.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>P.H. Verburg</name><affiliations><json:string>Department of Agronomy, Wageningen Agricultural University, Haarweg 333, 6709 RZ Wageningen, The Netherlands</json:string></affiliations></json:item><json:item><name>A. Veldkamp</name><affiliations><json:string>Laboratory of Soil Science and Geology, Wageningen Agricultural University, PO Box 37, 6700 AA Wageningen, The Netherlands</json:string></affiliations></json:item><json:item><name>L.O. Fresco</name><affiliations><json:string>Department of Agronomy, Wageningen Agricultural University, Haarweg 333, 6709 RZ Wageningen, The Netherlands</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Agricultural land</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>China</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Geographical Information Systems (GIS)</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Land use change</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Land use model</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>This paper presents a model for simulating country-wide changes in the land use pattern of China. It is based upon an empirical analysis of the spatial distribution of land use types in China which takes into account socioeconomic as well as geophysical variables. The empirical analysis indicates that a reasonably complete description of the land use distribution can be made by including demographic, soil-related, geomorphological and climatic variables. A multi-scale approach is followed to capture top-down as well as bottom-up factors affecting land use allocation. Competition between different land use types determines which changes will actually take place. The most important land use conversions in China, caused by urbanization, desertification and afforestation, are simulated for a scenario based upon a trend analysis of present land use dynamics. The spatially explicit results allow an analysis of the consequences of a decrease in cultivated area and related production capacity. A preliminary analysis shows that the average production capacity of the lost arable lands is somewhat less than the average production capacity of all agricultural lands together.</abstract><qualityIndicators><score>7.088</score><pdfVersion>1.2</pdfVersion><pdfPageSize>471 x 684 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>5</keywordCount><abstractCharCount>1181</abstractCharCount><pdfWordCount>7562</pdfWordCount><pdfCharCount>48307</pdfCharCount><pdfPageCount>23</pdfPageCount><abstractWordCount>174</abstractWordCount></qualityIndicators><title>Simulation of changes in the spatial pattern of land use in China</title><pii><json:string>S0143-6228(99)00003-X</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>19</volume><pii><json:string>S0143-6228(00)X0019-7</json:string></pii><pages><last>233</last><first>211</first></pages><issn><json:string>0143-6228</json:string></issn><issue>3</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Applied Geography</title><publicationDate>1999</publicationDate></host><categories><wos><json:string>social science</json:string><json:string>geography</json:string></wos><scienceMetrix><json:string>economic & social sciences</json:string><json:string>social sciences</json:string><json:string>geography</json:string></scienceMetrix></categories><publicationDate>1999</publicationDate><copyrightDate>1999</copyrightDate><doi><json:string>10.1016/S0143-6228(99)00003-X</json:string></doi><id>4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2C</id><score>0.042523444</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2C/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2C/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2C/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">Simulation of changes in the spatial pattern of land use in China</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©1999 Elsevier Science Ltd</p></availability><date>1999</date></publicationStmt><notesStmt><note type="content">Fig. 1: Structure of the main components of the CLUE modelling framework.</note><note type="content">Fig. 2: Representation of the multi-scale data and modelling structure for China and subdivision into regions.</note><note type="content">Fig. 3: Development of total, urban and rural population for China during the simulation period, based on US Bureau of the Census (1997) and UN (1995).</note><note type="content">Fig. 4: Changes in percentage cover for the different land use types during the simulation period (1999-2010).</note><note type="content">Fig. 5: Changes in percentage cover of cultivated land during 1990–3 according to official statistics.</note><note type="content">Table 1: Cultivated area in China (estimates)</note><note type="content">Table 2: Living space per farmer, urban resident and per capita built-up area including residential, industrial, infrastructural and mining area (m2)</note><note type="content">Table 3: Complete set of variables used in the statistical analysis</note><note type="content">Table 4: Variables, parameter estimates and standardized parameter estimates of multiple regression models explaining the distribution of the different land use types at the coarse allocation scale (sorted according to decreasing absolute standardized parameter estimate)</note><note type="content">Table 5: Variables and standardized parameter estimates of multiple regression models explaining the distribution of cultivated land by region at the fine allocation scale (sorted according to decreasing absolute standardized parameter estimate)</note><note type="content">Table 6: Yearly land use change rates at the national scale used in the simulations as compared to estimates of Smil (1993) for the period 1989–2000 and statistics of current trends</note><note type="content">Table 7: Average characteristics of all cultivated land and characteristics of cultivated land converted during the simulation period (1990–2010)</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">Simulation of changes in the spatial pattern of land use in China</title><author xml:id="author-1"><persName><forename type="first">P.H.</forename><surname>Verburg</surname></persName><note type="correspondence"><p>Corresponding author. Current address: Laboratory of Soil Science and Geology, Wageningen Agricultural University, PO Box 37, 6700 AA Wageningen, The Netherlands. Tel.: +31-317-485208; fax: +31-317-482419; e-mail: pverburg@gissrv.iend.wau.nl</p></note><affiliation>Department of Agronomy, Wageningen Agricultural University, Haarweg 333, 6709 RZ Wageningen, The Netherlands</affiliation></author><author xml:id="author-2"><persName><forename type="first">A.</forename><surname>Veldkamp</surname></persName><affiliation>Laboratory of Soil Science and Geology, Wageningen Agricultural University, PO Box 37, 6700 AA Wageningen, The Netherlands</affiliation></author><author xml:id="author-3"><persName><forename type="first">L.O.</forename><surname>Fresco</surname></persName><note type="biography">Current address: SDR, Food and Agriculture Organisation of the United Nations, Rome, Italy.</note><affiliation>Current address: SDR, Food and Agriculture Organisation of the United Nations, Rome, Italy.</affiliation><affiliation>Department of Agronomy, Wageningen Agricultural University, Haarweg 333, 6709 RZ Wageningen, The Netherlands</affiliation></author></analytic><monogr><title level="j">Applied Geography</title><title level="j" type="abbrev">JAPG</title><idno type="pISSN">0143-6228</idno><idno type="PII">S0143-6228(00)X0019-7</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1999"></date><biblScope unit="volume">19</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="211">211</biblScope><biblScope unit="page" to="233">233</biblScope></imprint></monogr><idno type="istex">4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2C</idno><idno type="DOI">10.1016/S0143-6228(99)00003-X</idno><idno type="PII">S0143-6228(99)00003-X</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1999</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>This paper presents a model for simulating country-wide changes in the land use pattern of China. It is based upon an empirical analysis of the spatial distribution of land use types in China which takes into account socioeconomic as well as geophysical variables. The empirical analysis indicates that a reasonably complete description of the land use distribution can be made by including demographic, soil-related, geomorphological and climatic variables. A multi-scale approach is followed to capture top-down as well as bottom-up factors affecting land use allocation. Competition between different land use types determines which changes will actually take place. The most important land use conversions in China, caused by urbanization, desertification and afforestation, are simulated for a scenario based upon a trend analysis of present land use dynamics. The spatially explicit results allow an analysis of the consequences of a decrease in cultivated area and related production capacity. A preliminary analysis shows that the average production capacity of the lost arable lands is somewhat less than the average production capacity of all agricultural lands together.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>Agricultural land</term></item><item><term>China</term></item><item><term>Geographical Information Systems (GIS)</term></item><item><term>Land use change</term></item><item><term>Land use model</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1999">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2C/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:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>JAPG</jid><aid>169</aid><ce:pii>S0143-6228(99)00003-X</ce:pii><ce:doi>10.1016/S0143-6228(99)00003-X</ce:doi><ce:copyright year="1999" type="full-transfer">Elsevier Science Ltd</ce:copyright></item-info><head><ce:title>Simulation of changes in the spatial pattern of land use in China</ce:title><ce:author-group><ce:author><ce:given-name>P.H.</ce:given-name><ce:surname>Verburg</ce:surname><ce:cross-ref refid="AFF1">a</ce:cross-ref><ce:cross-ref refid="CORR1">*</ce:cross-ref></ce:author><ce:author><ce:given-name>A.</ce:given-name><ce:surname>Veldkamp</ce:surname><ce:cross-ref refid="AFF2">b</ce:cross-ref></ce:author><ce:author><ce:given-name>L.O.</ce:given-name><ce:surname>Fresco</ce:surname><ce:cross-ref refid="AFF1">a</ce:cross-ref><ce:cross-ref refid="FN1"><ce:sup>1</ce:sup></ce:cross-ref><ce:cross-ref refid="FN1"><ce:sup>1</ce:sup></ce:cross-ref></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>Department of Agronomy, Wageningen Agricultural University, Haarweg 333, 6709 RZ Wageningen, The Netherlands</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>Laboratory of Soil Science and Geology, Wageningen Agricultural University, PO Box 37, 6700 AA Wageningen, The Netherlands</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Current address: Laboratory of Soil Science and Geology, Wageningen Agricultural University, PO Box 37, 6700 AA Wageningen, The Netherlands. Tel.: +31-317-485208; fax: +31-317-482419; e-mail: pverburg@gissrv.iend.wau.nl</ce:text></ce:correspondence><ce:footnote id="FN1"><ce:label>1</ce:label><ce:note-para>Current address: SDR, Food and Agriculture Organisation of the United Nations, Rome, Italy.</ce:note-para></ce:footnote></ce:author-group><ce:date-received day="1" month="4" year="1998"></ce:date-received><ce:date-accepted day="25" month="11" year="1998"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>This paper presents a model for simulating country-wide changes in the land use pattern of China. It is based upon an empirical analysis of the spatial distribution of land use types in China which takes into account socioeconomic as well as geophysical variables. The empirical analysis indicates that a reasonably complete description of the land use distribution can be made by including demographic, soil-related, geomorphological and climatic variables. A multi-scale approach is followed to capture top-down as well as bottom-up factors affecting land use allocation. Competition between different land use types determines which changes will actually take place. The most important land use conversions in China, caused by urbanization, desertification and afforestation, are simulated for a scenario based upon a trend analysis of present land use dynamics. The spatially explicit results allow an analysis of the consequences of a decrease in cultivated area and related production capacity. A preliminary analysis shows that the average production capacity of the lost arable lands is somewhat less than the average production capacity of all agricultural lands together.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Agricultural land</ce:text></ce:keyword><ce:keyword><ce:text>China</ce:text></ce:keyword><ce:keyword><ce:text>Geographical Information Systems (GIS)</ce:text></ce:keyword><ce:keyword><ce:text>Land use change</ce:text></ce:keyword><ce:keyword><ce:text>Land use model</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Simulation of changes in the spatial pattern of land use in China</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Simulation of changes in the spatial pattern of land use in China</title></titleInfo><name type="personal"><namePart type="given">P.H.</namePart><namePart type="family">Verburg</namePart><affiliation>Department of Agronomy, Wageningen Agricultural University, Haarweg 333, 6709 RZ Wageningen, The Netherlands</affiliation><description>Corresponding author. Current address: Laboratory of Soil Science and Geology, Wageningen Agricultural University, PO Box 37, 6700 AA Wageningen, The Netherlands. Tel.: +31-317-485208; fax: +31-317-482419; e-mail: pverburg@gissrv.iend.wau.nl</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">A.</namePart><namePart type="family">Veldkamp</namePart><affiliation>Laboratory of Soil Science and Geology, Wageningen Agricultural University, PO Box 37, 6700 AA Wageningen, The Netherlands</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">L.O.</namePart><namePart type="family">Fresco</namePart><affiliation>Department of Agronomy, Wageningen Agricultural University, Haarweg 333, 6709 RZ Wageningen, The Netherlands</affiliation><description>Current address: SDR, Food and Agriculture Organisation of the United Nations, Rome, Italy.</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">1999</dateIssued><copyrightDate encoding="w3cdtf">1999</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">This paper presents a model for simulating country-wide changes in the land use pattern of China. It is based upon an empirical analysis of the spatial distribution of land use types in China which takes into account socioeconomic as well as geophysical variables. The empirical analysis indicates that a reasonably complete description of the land use distribution can be made by including demographic, soil-related, geomorphological and climatic variables. A multi-scale approach is followed to capture top-down as well as bottom-up factors affecting land use allocation. Competition between different land use types determines which changes will actually take place. The most important land use conversions in China, caused by urbanization, desertification and afforestation, are simulated for a scenario based upon a trend analysis of present land use dynamics. The spatially explicit results allow an analysis of the consequences of a decrease in cultivated area and related production capacity. A preliminary analysis shows that the average production capacity of the lost arable lands is somewhat less than the average production capacity of all agricultural lands together.</abstract><note type="content">Fig. 1: Structure of the main components of the CLUE modelling framework.</note><note type="content">Fig. 2: Representation of the multi-scale data and modelling structure for China and subdivision into regions.</note><note type="content">Fig. 3: Development of total, urban and rural population for China during the simulation period, based on US Bureau of the Census (1997) and UN (1995).</note><note type="content">Fig. 4: Changes in percentage cover for the different land use types during the simulation period (1999-2010).</note><note type="content">Fig. 5: Changes in percentage cover of cultivated land during 1990–3 according to official statistics.</note><note type="content">Table 1: Cultivated area in China (estimates)</note><note type="content">Table 2: Living space per farmer, urban resident and per capita built-up area including residential, industrial, infrastructural and mining area (m2)</note><note type="content">Table 3: Complete set of variables used in the statistical analysis</note><note type="content">Table 4: Variables, parameter estimates and standardized parameter estimates of multiple regression models explaining the distribution of the different land use types at the coarse allocation scale (sorted according to decreasing absolute standardized parameter estimate)</note><note type="content">Table 5: Variables and standardized parameter estimates of multiple regression models explaining the distribution of cultivated land by region at the fine allocation scale (sorted according to decreasing absolute standardized parameter estimate)</note><note type="content">Table 6: Yearly land use change rates at the national scale used in the simulations as compared to estimates of Smil (1993) for the period 1989–2000 and statistics of current trends</note><note type="content">Table 7: Average characteristics of all cultivated land and characteristics of cultivated land converted during the simulation period (1990–2010)</note><subject><genre>Keywords</genre><topic>Agricultural land</topic><topic>China</topic><topic>Geographical Information Systems (GIS)</topic><topic>Land use change</topic><topic>Land use model</topic></subject><relatedItem type="host"><titleInfo><title>Applied Geography</title></titleInfo><titleInfo type="abbreviated"><title>JAPG</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199907</dateIssued></originInfo><identifier type="ISSN">0143-6228</identifier><identifier type="PII">S0143-6228(00)X0019-7</identifier><part><date>199907</date><detail type="volume"><number>19</number><caption>vol.</caption></detail><detail type="issue"><number>3</number><caption>no.</caption></detail><extent unit="issue pages"><start>179</start><end>274</end></extent><extent unit="pages"><start>211</start><end>233</end></extent></part></relatedItem><identifier type="istex">4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2C</identifier><identifier type="DOI">10.1016/S0143-6228(99)00003-X</identifier><identifier type="PII">S0143-6228(99)00003-X</identifier><accessCondition type="use and reproduction" contentType="copyright">©1999 Elsevier Science Ltd</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science Ltd, ©1999</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 000859 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000859 | 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:4F3511F88C70EB6A4A19EB7ABE39A2A65510DE2C
|texte= Simulation of changes in the spatial pattern of land use in China
}}
| This area was generated with Dilib version V0.6.28. |  |