Exploring land quality effects on world food supply
Identifieur interne : 000722 ( Istex/Corpus ); précédent : 000721; suivant : 000723Exploring land quality effects on world food supply
Auteurs : J. Bouma ; N. H Batjes ; J. J. R GrootSource :
- Geoderma [ 0016-7061 ] ; 1998.
Abstract
In a previous study, simulations of agricultural production potentials were made for different exploratory scenarios considering population growth, type of diet and low and high input agriculture. Results indicated that future world populations can be fed, but problems are likely in South Asia. The simulations involved gross generalizations for soil conditions. For example, possible effects of soil degradation were not expressed. The current study was made to explore the effects of the different types of soil degradation on agricultural production, using major soil groupings of the Humid Tropics and Seasonally Dry (Sub)Tropics as examples. Degradation (compaction, erosion and acidification) is expressed in terms of soil quality indicators relating potential to actual production. Results are characteristically different for different soil units (genoforms), and the suggestion is made to present such differences in future soil databases for phenoforms that express effects of different forms of degradation or improvement, allowing better assessments for exploratory land use scenarios. Field studies should be initiated to describe realistic phenoforms for any given genoform.
Url:
DOI: 10.1016/S0016-7061(98)00034-2
Links to Exploration step
ISTEX:57030A2AF7924B4F8F6BE2425309F8753879C02FLe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Exploring land quality effects on world food supply</title><author><name sortKey="Bouma, J" sort="Bouma, J" uniqKey="Bouma J" first="J" last="Bouma">J. Bouma</name><affiliation><mods:affiliation>Laboratory of Soil Science and Geology, Agricultural University, Wageningen, Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Batjes, N H" sort="Batjes, N H" uniqKey="Batjes N" first="N. H" last="Batjes">N. H Batjes</name><affiliation><mods:affiliation>ISRIC (International Soil Reference and Information Center), Wageningen, Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Groot, J J R" sort="Groot, J J R" uniqKey="Groot J" first="J. J. R" last="Groot">J. J. R Groot</name><affiliation><mods:affiliation>AB-DLO (Institute for Agrobiological and Soil Fertility Research), Wageningen, Netherlands</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:57030A2AF7924B4F8F6BE2425309F8753879C02F</idno><date when="1998" year="1998">1998</date><idno type="doi">10.1016/S0016-7061(98)00034-2</idno><idno type="url">https://api.istex.fr/document/57030A2AF7924B4F8F6BE2425309F8753879C02F/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000722</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000722</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Exploring land quality effects on world food supply</title><author><name sortKey="Bouma, J" sort="Bouma, J" uniqKey="Bouma J" first="J" last="Bouma">J. Bouma</name><affiliation><mods:affiliation>Laboratory of Soil Science and Geology, Agricultural University, Wageningen, Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Batjes, N H" sort="Batjes, N H" uniqKey="Batjes N" first="N. H" last="Batjes">N. H Batjes</name><affiliation><mods:affiliation>ISRIC (International Soil Reference and Information Center), Wageningen, Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Groot, J J R" sort="Groot, J J R" uniqKey="Groot J" first="J. J. R" last="Groot">J. J. R Groot</name><affiliation><mods:affiliation>AB-DLO (Institute for Agrobiological and Soil Fertility Research), Wageningen, Netherlands</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Geoderma</title><title level="j" type="abbrev">GEODER</title><idno type="ISSN">0016-7061</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1998">1998</date><biblScope unit="volume">86</biblScope><biblScope unit="issue">1–2</biblScope><biblScope unit="page" from="43">43</biblScope><biblScope unit="page" to="59">59</biblScope></imprint><idno type="ISSN">0016-7061</idno></series><idno type="istex">57030A2AF7924B4F8F6BE2425309F8753879C02F</idno><idno type="DOI">10.1016/S0016-7061(98)00034-2</idno><idno type="PII">S0016-7061(98)00034-2</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0016-7061</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In a previous study, simulations of agricultural production potentials were made for different exploratory scenarios considering population growth, type of diet and low and high input agriculture. Results indicated that future world populations can be fed, but problems are likely in South Asia. The simulations involved gross generalizations for soil conditions. For example, possible effects of soil degradation were not expressed. The current study was made to explore the effects of the different types of soil degradation on agricultural production, using major soil groupings of the Humid Tropics and Seasonally Dry (Sub)Tropics as examples. Degradation (compaction, erosion and acidification) is expressed in terms of soil quality indicators relating potential to actual production. Results are characteristically different for different soil units (genoforms), and the suggestion is made to present such differences in future soil databases for phenoforms that express effects of different forms of degradation or improvement, allowing better assessments for exploratory land use scenarios. Field studies should be initiated to describe realistic phenoforms for any given genoform.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>J Bouma</name><affiliations><json:string>Laboratory of Soil Science and Geology, Agricultural University, Wageningen, Netherlands</json:string></affiliations></json:item><json:item><name>N.H Batjes</name><affiliations><json:string>ISRIC (International Soil Reference and Information Center), Wageningen, Netherlands</json:string></affiliations></json:item><json:item><name>J.J.R Groot</name><affiliations><json:string>AB-DLO (Institute for Agrobiological and Soil Fertility Research), Wageningen, Netherlands</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>simulation modelling</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>soil degradation</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>population growth</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>In a previous study, simulations of agricultural production potentials were made for different exploratory scenarios considering population growth, type of diet and low and high input agriculture. Results indicated that future world populations can be fed, but problems are likely in South Asia. The simulations involved gross generalizations for soil conditions. For example, possible effects of soil degradation were not expressed. The current study was made to explore the effects of the different types of soil degradation on agricultural production, using major soil groupings of the Humid Tropics and Seasonally Dry (Sub)Tropics as examples. Degradation (compaction, erosion and acidification) is expressed in terms of soil quality indicators relating potential to actual production. Results are characteristically different for different soil units (genoforms), and the suggestion is made to present such differences in future soil databases for phenoforms that express effects of different forms of degradation or improvement, allowing better assessments for exploratory land use scenarios. Field studies should be initiated to describe realistic phenoforms for any given genoform.</abstract><qualityIndicators><score>6.838</score><pdfVersion>1.2</pdfVersion><pdfPageSize>540 x 712 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>3</keywordCount><abstractCharCount>1189</abstractCharCount><pdfWordCount>4834</pdfWordCount><pdfCharCount>29369</pdfCharCount><pdfPageCount>17</pdfPageCount><abstractWordCount>167</abstractWordCount></qualityIndicators><title>Exploring land quality effects on world food supply</title><pii><json:string>S0016-7061(98)00034-2</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>86</volume><pii><json:string>S0016-7061(00)X0045-6</json:string></pii><pages><last>59</last><first>43</first></pages><issn><json:string>0016-7061</json:string></issn><issue>1–2</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Geoderma</title><publicationDate>1998</publicationDate></host><categories><wos><json:string>science</json:string><json:string>soil science</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>1998</publicationDate><copyrightDate>1998</copyrightDate><doi><json:string>10.1016/S0016-7061(98)00034-2</json:string></doi><id>57030A2AF7924B4F8F6BE2425309F8753879C02F</id><score>0.04333795</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/57030A2AF7924B4F8F6BE2425309F8753879C02F/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/57030A2AF7924B4F8F6BE2425309F8753879C02F/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/57030A2AF7924B4F8F6BE2425309F8753879C02F/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">Exploring land quality effects on world food supply</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©1998 Elsevier Science B.V.</p></availability><date>1998</date></publicationStmt><notesStmt><note>Invited paper for the Symposium: Global Carrying Capacity: Feeding the People of the 21st Century, held at the 89th Annual Meetings of the American Society of Agronomy in Anaheim, CA, USA. The symposium was sponsored by the Divisions: S-5, A-3, A-5, A-6, C-3, S-4, S-6 and S-11.</note><note type="content">Fig. 1: Climate diagrams showing the monthly distribution of air temperature (°C), radiation and precipitation (mm).</note><note type="content">Fig. 2: Potential and water-limited yield for the genoform and attainable yields for 3 phenoforms (compaction, erosion and liming), by soil type (C4 crop).</note><note type="content">Fig. 3: Relative soil quality indicators by soil type (C4 crop; expressed as 100×yieldi/potential yield, where i is water-limited, compaction, erosion and liming, respectively).</note><note type="content">Fig. 4: Absolute soil quality indicator by soil type (expressed as 100×water-limited yield/MPY, where MPY is Maximum Potential Yield of C4 crop in the world: 41.4 t−1 dry matter−1 ha−1 yr−1=100%).</note><note type="content">Table 1: Ratio of potential food supply and demand, for some selected regions</note><note type="content">Table 2: Characterisation of agro-ecological zones</note><note type="content">Table 3: Main soil units considered by agro-ecological zone</note><note type="content">Table 4: Soil parameter values for the genoform and 3 phenoforms</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">Exploring land quality effects on world food supply</title><author xml:id="author-1"><persName><forename type="first">J</forename><surname>Bouma</surname></persName><note type="correspondence"><p>Corresponding author.</p></note><affiliation>Laboratory of Soil Science and Geology, Agricultural University, Wageningen, Netherlands</affiliation></author><author xml:id="author-2"><persName><forename type="first">N.H</forename><surname>Batjes</surname></persName><affiliation>ISRIC (International Soil Reference and Information Center), Wageningen, Netherlands</affiliation></author><author xml:id="author-3"><persName><forename type="first">J.J.R</forename><surname>Groot</surname></persName><affiliation>AB-DLO (Institute for Agrobiological and Soil Fertility Research), Wageningen, Netherlands</affiliation></author></analytic><monogr><title level="j">Geoderma</title><title level="j" type="abbrev">GEODER</title><idno type="pISSN">0016-7061</idno><idno type="PII">S0016-7061(00)X0045-6</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1998"></date><biblScope unit="volume">86</biblScope><biblScope unit="issue">1–2</biblScope><biblScope unit="page" from="43">43</biblScope><biblScope unit="page" to="59">59</biblScope></imprint></monogr><idno type="istex">57030A2AF7924B4F8F6BE2425309F8753879C02F</idno><idno type="DOI">10.1016/S0016-7061(98)00034-2</idno><idno type="PII">S0016-7061(98)00034-2</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1998</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>In a previous study, simulations of agricultural production potentials were made for different exploratory scenarios considering population growth, type of diet and low and high input agriculture. Results indicated that future world populations can be fed, but problems are likely in South Asia. The simulations involved gross generalizations for soil conditions. For example, possible effects of soil degradation were not expressed. The current study was made to explore the effects of the different types of soil degradation on agricultural production, using major soil groupings of the Humid Tropics and Seasonally Dry (Sub)Tropics as examples. Degradation (compaction, erosion and acidification) is expressed in terms of soil quality indicators relating potential to actual production. Results are characteristically different for different soil units (genoforms), and the suggestion is made to present such differences in future soil databases for phenoforms that express effects of different forms of degradation or improvement, allowing better assessments for exploratory land use scenarios. Field studies should be initiated to describe realistic phenoforms for any given genoform.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>simulation modelling</term></item><item><term>soil degradation</term></item><item><term>population growth</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1998">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/57030A2AF7924B4F8F6BE2425309F8753879C02F/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:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>GEODER</jid><aid>1357</aid><ce:pii>S0016-7061(98)00034-2</ce:pii><ce:doi>10.1016/S0016-7061(98)00034-2</ce:doi><ce:copyright year="1998" type="full-transfer">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>Exploring land quality effects on world food supply<ce:footnote id="FN1"><ce:label>1</ce:label><ce:note-para>Invited paper for the Symposium: Global Carrying Capacity: Feeding the People of the 21st Century, held at the 89th Annual Meetings of the American Society of Agronomy in Anaheim, CA, USA. The symposium was sponsored by the Divisions: S-5, A-3, A-5, A-6, C-3, S-4, S-6 and S-11.</ce:note-para></ce:footnote><ce:cross-ref refid="FN1"><ce:sup>1</ce:sup></ce:cross-ref></ce:title><ce:author-group><ce:author><ce:given-name>J</ce:given-name><ce:surname>Bouma</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>N.H</ce:given-name><ce:surname>Batjes</ce:surname><ce:cross-ref refid="AFF2">b</ce:cross-ref></ce:author><ce:author><ce:given-name>J.J.R</ce:given-name><ce:surname>Groot</ce:surname><ce:cross-ref refid="AFF3">c</ce:cross-ref></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>Laboratory of Soil Science and Geology, Agricultural University, Wageningen, Netherlands</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>ISRIC (International Soil Reference and Information Center), Wageningen, Netherlands</ce:textfn></ce:affiliation><ce:affiliation id="AFF3"><ce:label>c</ce:label><ce:textfn>AB-DLO (Institute for Agrobiological and Soil Fertility Research), Wageningen, Netherlands</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author.</ce:text></ce:correspondence></ce:author-group><ce:date-received day="7" month="11" year="1997"></ce:date-received><ce:date-accepted day="18" month="3" year="1998"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>In a previous study, simulations of agricultural production potentials were made for different exploratory scenarios considering population growth, type of diet and low and high input agriculture. Results indicated that future world populations can be fed, but problems are likely in South Asia. The simulations involved gross generalizations for soil conditions. For example, possible effects of soil degradation were not expressed. The current study was made to explore the effects of the different types of soil degradation on agricultural production, using major soil groupings of the Humid Tropics and Seasonally Dry (Sub)Tropics as examples. Degradation (compaction, erosion and acidification) is expressed in terms of soil quality indicators relating potential to actual production. Results are characteristically different for different soil units (genoforms), and the suggestion is made to present such differences in future soil databases for phenoforms that express effects of different forms of degradation or improvement, allowing better assessments for exploratory land use scenarios. Field studies should be initiated to describe realistic phenoforms for any given genoform.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>simulation modelling</ce:text></ce:keyword><ce:keyword><ce:text>soil degradation</ce:text></ce:keyword><ce:keyword><ce:text>population growth</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Exploring land quality effects on world food supply</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Exploring land quality effects on world food supply</title></titleInfo><name type="personal"><namePart type="given">J</namePart><namePart type="family">Bouma</namePart><affiliation>Laboratory of Soil Science and Geology, Agricultural University, Wageningen, Netherlands</affiliation><description>Corresponding author.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">N.H</namePart><namePart type="family">Batjes</namePart><affiliation>ISRIC (International Soil Reference and Information Center), Wageningen, Netherlands</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J.J.R</namePart><namePart type="family">Groot</namePart><affiliation>AB-DLO (Institute for Agrobiological and Soil Fertility Research), Wageningen, Netherlands</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">1998</dateIssued><copyrightDate encoding="w3cdtf">1998</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">In a previous study, simulations of agricultural production potentials were made for different exploratory scenarios considering population growth, type of diet and low and high input agriculture. Results indicated that future world populations can be fed, but problems are likely in South Asia. The simulations involved gross generalizations for soil conditions. For example, possible effects of soil degradation were not expressed. The current study was made to explore the effects of the different types of soil degradation on agricultural production, using major soil groupings of the Humid Tropics and Seasonally Dry (Sub)Tropics as examples. Degradation (compaction, erosion and acidification) is expressed in terms of soil quality indicators relating potential to actual production. Results are characteristically different for different soil units (genoforms), and the suggestion is made to present such differences in future soil databases for phenoforms that express effects of different forms of degradation or improvement, allowing better assessments for exploratory land use scenarios. Field studies should be initiated to describe realistic phenoforms for any given genoform.</abstract><note type="footnote">Invited paper for the Symposium: Global Carrying Capacity: Feeding the People of the 21st Century, held at the 89th Annual Meetings of the American Society of Agronomy in Anaheim, CA, USA. The symposium was sponsored by the Divisions: S-5, A-3, A-5, A-6, C-3, S-4, S-6 and S-11.</note><note type="content">Fig. 1: Climate diagrams showing the monthly distribution of air temperature (°C), radiation and precipitation (mm).</note><note type="content">Fig. 2: Potential and water-limited yield for the genoform and attainable yields for 3 phenoforms (compaction, erosion and liming), by soil type (C4 crop).</note><note type="content">Fig. 3: Relative soil quality indicators by soil type (C4 crop; expressed as 100×yieldi/potential yield, where i is water-limited, compaction, erosion and liming, respectively).</note><note type="content">Fig. 4: Absolute soil quality indicator by soil type (expressed as 100×water-limited yield/MPY, where MPY is Maximum Potential Yield of C4 crop in the world: 41.4 t−1 dry matter−1 ha−1 yr−1=100%).</note><note type="content">Table 1: Ratio of potential food supply and demand, for some selected regions</note><note type="content">Table 2: Characterisation of agro-ecological zones</note><note type="content">Table 3: Main soil units considered by agro-ecological zone</note><note type="content">Table 4: Soil parameter values for the genoform and 3 phenoforms</note><subject><genre>Keywords</genre><topic>simulation modelling</topic><topic>soil degradation</topic><topic>population growth</topic></subject><relatedItem type="host"><titleInfo><title>Geoderma</title></titleInfo><titleInfo type="abbreviated"><title>GEODER</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199810</dateIssued></originInfo><identifier type="ISSN">0016-7061</identifier><identifier type="PII">S0016-7061(00)X0045-6</identifier><part><date>199810</date><detail type="volume"><number>86</number><caption>vol.</caption></detail><detail type="issue"><number>1–2</number><caption>no.</caption></detail><extent unit="issue pages"><start>1</start><end>158</end></extent><extent unit="pages"><start>43</start><end>59</end></extent></part></relatedItem><identifier type="istex">57030A2AF7924B4F8F6BE2425309F8753879C02F</identifier><identifier type="DOI">10.1016/S0016-7061(98)00034-2</identifier><identifier type="PII">S0016-7061(98)00034-2</identifier><accessCondition type="use and reproduction" contentType="copyright">©1998 Elsevier Science B.V.</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science B.V., ©1998</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 000722 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000722 | 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:57030A2AF7924B4F8F6BE2425309F8753879C02F
|texte= Exploring land quality effects on world food supply
}}
| This area was generated with Dilib version V0.6.28. |  |