Assessing regional impacts of change: linking economic and environmental models
Identifieur interne : 000303 ( Istex/Corpus ); précédent : 000302; suivant : 000304Assessing regional impacts of change: linking economic and environmental models
Auteurs : J. D. Attwood ; B. Mccarl ; Chi-Chung Chen ; B. R. Eddleman ; B. Nayda ; R. SrinivasanSource :
- Agricultural Systems [ 0308-521X ] ; 2000.
Abstract
Increasingly, natural resource policy makers and program administrators are requiring that analysis of proposed changes include estimates of both environmental and economic implications. That requirement poses a difficulty for researchers since the spatial scale of models used for environmental analysis and for economic analysis are structured differently. In this paper we show how the differing spatial scales can be reconciled in a national analysis involving an agricultural model with state- and county-level-based geographical boundaries and a watershed model involving watershed boundaries. This type of modeling system integration has been done in analysis of single or multiple watershed-level issues, but our paper is the first to show a method for a national-level analysis involving state- and substate-level economic results and small watershed environmental results. The procedures and results are shown for a national cropland erosion control policy and for the release by one state experiment station of improved crop varieties.
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DOI: 10.1016/S0308-521X(99)00077-3
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Mccarl</name><affiliation><mods:affiliation>E-mail: mccarl@tamu.edu</mods:affiliation></affiliation><affiliation><mods:affiliation>Department of Agricultural Economics, Texas A&M University, College Station, TX 77843-2124, USA</mods:affiliation></affiliation></author><author><name sortKey="Chen, Chi Chung" sort="Chen, Chi Chung" uniqKey="Chen C" first="Chi-Chung" last="Chen">Chi-Chung Chen</name><affiliation><mods:affiliation>Department of Agricultural Economics, Texas A&M University, College Station, TX 77843-2124, USA</mods:affiliation></affiliation></author><author><name sortKey="Eddleman, B R" sort="Eddleman, B R" uniqKey="Eddleman B" first="B. R." last="Eddleman">B. R. Eddleman</name><affiliation><mods:affiliation>Corpus Christi Research Center, Texas Agricultural Experiment Station, Route 2 Box 589, Corpus Chrisi, TX 78406-9704, USA</mods:affiliation></affiliation></author><author><name sortKey="Nayda, B" sort="Nayda, B" uniqKey="Nayda B" first="B." last="Nayda">B. Nayda</name><affiliation><mods:affiliation>Capital One Financial, 2980 Fairview Park, Falls Church, VA 22042-1091, USA</mods:affiliation></affiliation></author><author><name sortKey="Srinivasan, R" sort="Srinivasan, R" uniqKey="Srinivasan R" first="R." last="Srinivasan">R. 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Attwood</name><affiliation><mods:affiliation>USDA, Natural Resources Conservation Service, 808 E. Blacklands Road, Temple, TX 76502, USA</mods:affiliation></affiliation></author><author><name sortKey="Mccarl, B" sort="Mccarl, B" uniqKey="Mccarl B" first="B." last="Mccarl">B. Mccarl</name><affiliation><mods:affiliation>E-mail: mccarl@tamu.edu</mods:affiliation></affiliation><affiliation><mods:affiliation>Department of Agricultural Economics, Texas A&M University, College Station, TX 77843-2124, USA</mods:affiliation></affiliation></author><author><name sortKey="Chen, Chi Chung" sort="Chen, Chi Chung" uniqKey="Chen C" first="Chi-Chung" last="Chen">Chi-Chung Chen</name><affiliation><mods:affiliation>Department of Agricultural Economics, Texas A&M University, College Station, TX 77843-2124, USA</mods:affiliation></affiliation></author><author><name sortKey="Eddleman, B R" sort="Eddleman, B R" uniqKey="Eddleman B" first="B. R." last="Eddleman">B. R. Eddleman</name><affiliation><mods:affiliation>Corpus Christi Research Center, Texas Agricultural Experiment Station, Route 2 Box 589, Corpus Chrisi, TX 78406-9704, USA</mods:affiliation></affiliation></author><author><name sortKey="Nayda, B" sort="Nayda, B" uniqKey="Nayda B" first="B." last="Nayda">B. Nayda</name><affiliation><mods:affiliation>Capital One Financial, 2980 Fairview Park, Falls Church, VA 22042-1091, USA</mods:affiliation></affiliation></author><author><name sortKey="Srinivasan, R" sort="Srinivasan, R" uniqKey="Srinivasan R" first="R." last="Srinivasan">R. Srinivasan</name><affiliation><mods:affiliation>Blackland Research Center, Texas Agricultural Experiment Station, TX, USA</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Agricultural Systems</title><title level="j" type="abbrev">AGSY</title><idno type="ISSN">0308-521X</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000">2000</date><biblScope unit="volume">63</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="147">147</biblScope><biblScope unit="page" to="159">159</biblScope></imprint><idno type="ISSN">0308-521X</idno></series><idno type="istex">A4861BD8220FB5B8C0F7AD4C698332263F2BB253</idno><idno type="DOI">10.1016/S0308-521X(99)00077-3</idno><idno type="PII">S0308-521X(99)00077-3</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0308-521X</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Increasingly, natural resource policy makers and program administrators are requiring that analysis of proposed changes include estimates of both environmental and economic implications. That requirement poses a difficulty for researchers since the spatial scale of models used for environmental analysis and for economic analysis are structured differently. In this paper we show how the differing spatial scales can be reconciled in a national analysis involving an agricultural model with state- and county-level-based geographical boundaries and a watershed model involving watershed boundaries. This type of modeling system integration has been done in analysis of single or multiple watershed-level issues, but our paper is the first to show a method for a national-level analysis involving state- and substate-level economic results and small watershed environmental results. The procedures and results are shown for a national cropland erosion control policy and for the release by one state experiment station of improved crop varieties.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>J.D. Attwood</name><affiliations><json:string>USDA, Natural Resources Conservation Service, 808 E. Blacklands Road, Temple, TX 76502, USA</json:string></affiliations></json:item><json:item><name>B. McCarl</name><affiliations><json:string>E-mail: mccarl@tamu.edu</json:string><json:string>Department of Agricultural Economics, Texas A&M University, College Station, TX 77843-2124, USA</json:string></affiliations></json:item><json:item><name>Chi-Chung Chen</name><affiliations><json:string>Department of Agricultural Economics, Texas A&M University, College Station, TX 77843-2124, USA</json:string></affiliations></json:item><json:item><name>B.R. Eddleman</name><affiliations><json:string>Corpus Christi Research Center, Texas Agricultural Experiment Station, Route 2 Box 589, Corpus Chrisi, TX 78406-9704, USA</json:string></affiliations></json:item><json:item><name>B. Nayda</name><affiliations><json:string>Capital One Financial, 2980 Fairview Park, Falls Church, VA 22042-1091, USA</json:string></affiliations></json:item><json:item><name>R. Srinivasan</name><affiliations><json:string>Blackland Research Center, Texas Agricultural Experiment Station, TX, USA</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Resource policy</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Resource modeling</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Agriculture</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Watershed</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Environment</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Economic</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Mathematical programming</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Agriculture Sector Model</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>SWAT model</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>Increasingly, natural resource policy makers and program administrators are requiring that analysis of proposed changes include estimates of both environmental and economic implications. That requirement poses a difficulty for researchers since the spatial scale of models used for environmental analysis and for economic analysis are structured differently. In this paper we show how the differing spatial scales can be reconciled in a national analysis involving an agricultural model with state- and county-level-based geographical boundaries and a watershed model involving watershed boundaries. This type of modeling system integration has been done in analysis of single or multiple watershed-level issues, but our paper is the first to show a method for a national-level analysis involving state- and substate-level economic results and small watershed environmental results. The procedures and results are shown for a national cropland erosion control policy and for the release by one state experiment station of improved crop varieties.</abstract><qualityIndicators><score>5.537</score><pdfVersion>1.2</pdfVersion><pdfPageSize>544 x 743 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>9</keywordCount><abstractCharCount>1046</abstractCharCount><pdfWordCount>3749</pdfWordCount><pdfCharCount>23740</pdfCharCount><pdfPageCount>13</pdfPageCount><abstractWordCount>149</abstractWordCount></qualityIndicators><title>Assessing regional impacts of change: linking economic and environmental models</title><pii><json:string>S0308-521X(99)00077-3</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>63</volume><pii><json:string>S0308-521X(00)X0061-3</json:string></pii><pages><last>159</last><first>147</first></pages><issn><json:string>0308-521X</json:string></issn><issue>3</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Agricultural Systems</title><publicationDate>2000</publicationDate></host><categories><wos><json:string>science</json:string><json:string>agriculture, multidisciplinary</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>agriculture, fisheries & forestry</json:string><json:string>agronomy & agriculture</json:string></scienceMetrix></categories><publicationDate>2000</publicationDate><copyrightDate>2000</copyrightDate><doi><json:string>10.1016/S0308-521X(99)00077-3</json:string></doi><id>A4861BD8220FB5B8C0F7AD4C698332263F2BB253</id><score>0.040605523</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/A4861BD8220FB5B8C0F7AD4C698332263F2BB253/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/A4861BD8220FB5B8C0F7AD4C698332263F2BB253/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/A4861BD8220FB5B8C0F7AD4C698332263F2BB253/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">Assessing regional impacts of change: linking economic and environmental models</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>ELSEVIER</p></availability><date>2000</date></publicationStmt><notesStmt><note type="content">Fig. 1: Percentage of county irrigated area devoted to irrigated corn under different allocation rules and in National Resources Inventory (NRI) data. (a) Subregional area distribution; (b) distribution using full model; (c) actual area allocation in NRI data for 1992.</note><note type="content">Fig. 2: Changes in Texas environmental health indicators as projected by SWAT. (a) Sediment loss; (b) runoff; (c) nitrogen losses; (d) phosphorus losses.</note><note type="content">Table 1: Economic benefit from adoption of new crop varieties developed by Texas Agricultural Experiment Station</note><note type="content">Table 2: Changes in resource use from adoption of new crop varieties developed by the Texas Agricultural Experiment Station</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">Assessing regional impacts of change: linking economic and environmental models</title><author xml:id="author-1"><persName><forename type="first">J.D.</forename><surname>Attwood</surname></persName><affiliation>USDA, Natural Resources Conservation Service, 808 E. 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Tel.: +1-409-845-1706; fax: +1-409-845-7504</p></note><affiliation>Department of Agricultural Economics, Texas A&M University, College Station, TX 77843-2124, USA</affiliation></author><author xml:id="author-3"><persName><forename type="first">Chi-Chung</forename><surname>Chen</surname></persName><affiliation>Department of Agricultural Economics, Texas A&M University, College Station, TX 77843-2124, USA</affiliation></author><author xml:id="author-4"><persName><forename type="first">B.R.</forename><surname>Eddleman</surname></persName><affiliation>Corpus Christi Research Center, Texas Agricultural Experiment Station, Route 2 Box 589, Corpus Chrisi, TX 78406-9704, USA</affiliation></author><author xml:id="author-5"><persName><forename type="first">B.</forename><surname>Nayda</surname></persName><affiliation>Capital One Financial, 2980 Fairview Park, Falls Church, VA 22042-1091, USA</affiliation></author><author xml:id="author-6"><persName><forename type="first">R.</forename><surname>Srinivasan</surname></persName><affiliation>Blackland Research Center, Texas Agricultural Experiment Station, TX, USA</affiliation></author></analytic><monogr><title level="j">Agricultural Systems</title><title level="j" type="abbrev">AGSY</title><idno type="pISSN">0308-521X</idno><idno type="PII">S0308-521X(00)X0061-3</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000"></date><biblScope unit="volume">63</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="147">147</biblScope><biblScope unit="page" to="159">159</biblScope></imprint></monogr><idno type="istex">A4861BD8220FB5B8C0F7AD4C698332263F2BB253</idno><idno type="DOI">10.1016/S0308-521X(99)00077-3</idno><idno type="PII">S0308-521X(99)00077-3</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2000</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Increasingly, natural resource policy makers and program administrators are requiring that analysis of proposed changes include estimates of both environmental and economic implications. That requirement poses a difficulty for researchers since the spatial scale of models used for environmental analysis and for economic analysis are structured differently. In this paper we show how the differing spatial scales can be reconciled in a national analysis involving an agricultural model with state- and county-level-based geographical boundaries and a watershed model involving watershed boundaries. This type of modeling system integration has been done in analysis of single or multiple watershed-level issues, but our paper is the first to show a method for a national-level analysis involving state- and substate-level economic results and small watershed environmental results. The procedures and results are shown for a national cropland erosion control policy and for the release by one state experiment station of improved crop varieties.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>Resource policy</term></item><item><term>Resource modeling</term></item><item><term>Agriculture</term></item><item><term>Watershed</term></item><item><term>Environment</term></item><item><term>Economic</term></item><item><term>Mathematical programming</term></item><item><term>Agriculture Sector Model</term></item><item><term>SWAT model</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1999-12-05">Modified</change><change when="2000">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/A4861BD8220FB5B8C0F7AD4C698332263F2BB253/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:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>AGSY</jid><aid>606</aid><ce:pii>S0308-521X(99)00077-3</ce:pii><ce:doi>10.1016/S0308-521X(99)00077-3</ce:doi><ce:copyright type="unknown" year="2000"></ce:copyright></item-info><head><ce:title>Assessing regional impacts of change: linking economic and environmental models</ce:title><ce:author-group><ce:author><ce:given-name>J.D.</ce:given-name><ce:surname>Attwood</ce:surname><ce:cross-ref refid="AFFA"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>B.</ce:given-name><ce:surname>McCarl</ce:surname><ce:cross-ref refid="AFFB"><ce:sup>b</ce:sup></ce:cross-ref><ce:cross-ref refid="CORR1">*</ce:cross-ref><ce:e-address>mccarl@tamu.edu</ce:e-address></ce:author><ce:author><ce:initials>C.-C.</ce:initials><ce:given-name>Chi-Chung</ce:given-name><ce:surname>Chen</ce:surname><ce:cross-ref refid="AFFB"><ce:sup>b</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>B.R.</ce:given-name><ce:surname>Eddleman</ce:surname><ce:cross-ref refid="AFFC"><ce:sup>c</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>B.</ce:given-name><ce:surname>Nayda</ce:surname><ce:cross-ref refid="AFFD"><ce:sup>d</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>R.</ce:given-name><ce:surname>Srinivasan</ce:surname><ce:cross-ref refid="AFFE"><ce:sup>e</ce:sup></ce:cross-ref></ce:author><ce:affiliation id="AFFA"><ce:label>a</ce:label><ce:textfn>USDA, Natural Resources Conservation Service, 808 E. Blacklands Road, Temple, TX 76502, USA</ce:textfn></ce:affiliation><ce:affiliation id="AFFB"><ce:label>b</ce:label><ce:textfn>Department of Agricultural Economics, Texas A&M University, College Station, TX 77843-2124, USA</ce:textfn></ce:affiliation><ce:affiliation id="AFFC"><ce:label>c</ce:label><ce:textfn>Corpus Christi Research Center, Texas Agricultural Experiment Station, Route 2 Box 589, Corpus Chrisi, TX 78406-9704, USA</ce:textfn></ce:affiliation><ce:affiliation id="AFFD"><ce:label>d</ce:label><ce:textfn>Capital One Financial, 2980 Fairview Park, Falls Church, VA 22042-1091, USA</ce:textfn></ce:affiliation><ce:affiliation id="AFFE"><ce:label>e</ce:label><ce:textfn>Blackland Research Center, Texas Agricultural Experiment Station, TX, USA</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Tel.: +1-409-845-1706; fax: +1-409-845-7504</ce:text></ce:correspondence></ce:author-group><ce:date-received day="30" month="6" year="1999"></ce:date-received><ce:date-revised day="5" month="12" year="1999"></ce:date-revised><ce:date-accepted day="13" month="12" year="1999"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>Increasingly, natural resource policy makers and program administrators are requiring that analysis of proposed changes include estimates of both environmental and economic implications. That requirement poses a difficulty for researchers since the spatial scale of models used for environmental analysis and for economic analysis are structured differently. In this paper we show how the differing spatial scales can be reconciled in a national analysis involving an agricultural model with state- and county-level-based geographical boundaries and a watershed model involving watershed boundaries. This type of modeling system integration has been done in analysis of single or multiple watershed-level issues, but our paper is the first to show a method for a national-level analysis involving state- and substate-level economic results and small watershed environmental results. The procedures and results are shown for a national cropland erosion control policy and for the release by one state experiment station of improved crop varieties.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Resource policy</ce:text></ce:keyword><ce:keyword><ce:text>Resource modeling</ce:text></ce:keyword><ce:keyword><ce:text>Agriculture</ce:text></ce:keyword><ce:keyword><ce:text>Watershed</ce:text></ce:keyword><ce:keyword><ce:text>Environment</ce:text></ce:keyword><ce:keyword><ce:text>Economic</ce:text></ce:keyword><ce:keyword><ce:text>Mathematical programming</ce:text></ce:keyword><ce:keyword><ce:text>Agriculture Sector Model</ce:text></ce:keyword><ce:keyword><ce:text>SWAT model</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Assessing regional impacts of change: linking economic and environmental models</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Assessing regional impacts of change: linking economic and environmental models</title></titleInfo><name type="personal"><namePart type="given">J.D.</namePart><namePart type="family">Attwood</namePart><affiliation>USDA, Natural Resources Conservation Service, 808 E. Blacklands Road, Temple, TX 76502, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">B.</namePart><namePart type="family">McCarl</namePart><affiliation>E-mail: mccarl@tamu.edu</affiliation><affiliation>Department of Agricultural Economics, Texas A&M University, College Station, TX 77843-2124, USA</affiliation><description>Corresponding author. Tel.: +1-409-845-1706; fax: +1-409-845-7504</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Chi-Chung</namePart><namePart type="family">Chen</namePart><affiliation>Department of Agricultural Economics, Texas A&M University, College Station, TX 77843-2124, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">B.R.</namePart><namePart type="family">Eddleman</namePart><affiliation>Corpus Christi Research Center, Texas Agricultural Experiment Station, Route 2 Box 589, Corpus Chrisi, TX 78406-9704, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">B.</namePart><namePart type="family">Nayda</namePart><affiliation>Capital One Financial, 2980 Fairview Park, Falls Church, VA 22042-1091, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">R.</namePart><namePart type="family">Srinivasan</namePart><affiliation>Blackland Research Center, Texas Agricultural Experiment Station, TX, USA</affiliation><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">2000</dateIssued><dateModified encoding="w3cdtf">1999-12-05</dateModified><copyrightDate encoding="w3cdtf">2000</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">Increasingly, natural resource policy makers and program administrators are requiring that analysis of proposed changes include estimates of both environmental and economic implications. That requirement poses a difficulty for researchers since the spatial scale of models used for environmental analysis and for economic analysis are structured differently. In this paper we show how the differing spatial scales can be reconciled in a national analysis involving an agricultural model with state- and county-level-based geographical boundaries and a watershed model involving watershed boundaries. This type of modeling system integration has been done in analysis of single or multiple watershed-level issues, but our paper is the first to show a method for a national-level analysis involving state- and substate-level economic results and small watershed environmental results. The procedures and results are shown for a national cropland erosion control policy and for the release by one state experiment station of improved crop varieties.</abstract><note type="content">Fig. 1: Percentage of county irrigated area devoted to irrigated corn under different allocation rules and in National Resources Inventory (NRI) data. (a) Subregional area distribution; (b) distribution using full model; (c) actual area allocation in NRI data for 1992.</note><note type="content">Fig. 2: Changes in Texas environmental health indicators as projected by SWAT. (a) Sediment loss; (b) runoff; (c) nitrogen losses; (d) phosphorus losses.</note><note type="content">Table 1: Economic benefit from adoption of new crop varieties developed by Texas Agricultural Experiment Station</note><note type="content">Table 2: Changes in resource use from adoption of new crop varieties developed by the Texas Agricultural Experiment Station</note><subject><genre>Keywords</genre><topic>Resource policy</topic><topic>Resource modeling</topic><topic>Agriculture</topic><topic>Watershed</topic><topic>Environment</topic><topic>Economic</topic><topic>Mathematical programming</topic><topic>Agriculture Sector Model</topic><topic>SWAT model</topic></subject><relatedItem type="host"><titleInfo><title>Agricultural Systems</title></titleInfo><titleInfo type="abbreviated"><title>AGSY</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">200003</dateIssued></originInfo><identifier type="ISSN">0308-521X</identifier><identifier type="PII">S0308-521X(00)X0061-3</identifier><part><date>200003</date><detail type="volume"><number>63</number><caption>vol.</caption></detail><detail type="issue"><number>3</number><caption>no.</caption></detail><extent unit="issue pages"><start>147</start><end>228</end></extent><extent unit="pages"><start>147</start><end>159</end></extent></part></relatedItem><identifier type="istex">A4861BD8220FB5B8C0F7AD4C698332263F2BB253</identifier><identifier type="DOI">10.1016/S0308-521X(99)00077-3</identifier><identifier type="PII">S0308-521X(99)00077-3</identifier><recordInfo><recordContentSource>ELSEVIER</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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