TIM: Assessing the sustainability of agricultural land management
Identifieur interne : 001201 ( Istex/Corpus ); précédent : 001200; suivant : 001202TIM: Assessing the sustainability of agricultural land management
Auteurs : C. S Smith ; G. T Mcdonald ; R. N ThwaitesSource :
- Journal of Environmental Management [ 0301-4797 ] ; 2000.
English descriptors
Abstract
TIM (Threat Identification Model) is a framework for the ex ante assessment of agricultural land management sustainability at the land unit scale that identifies sources of unsustainability within agricultural land management systems. The model explicitly links defined hazards to land productivity and environmental integrity, land resource data and information, and land management practice options using expert and local knowledge on land management and its potential effects. The model was tested in the Crystal Creek Subcatchment, a narrow coastal strip of land situated in north Queensland, Australia. This area was chosen due to the expansion of the sugar industry onto increasingly marginal land in the area, which represents a threat to sustainable land use and a requirement for careful land-use planning and land management.TIM may be used in a relational database as a stand alone decision support system for land-management planning. Its usefulness in land-use planning is greatest when it is linked to a Geographic Information System (GIS) as shown in this paper. GIS allows TIM outputs, such as constraints to agriculture and site-specific best-management practices, to be identified in a spatially explicit manner.The main advantages of TIM are that it can be done ex ante, it removes the need to define sustainability assessment criteria and indicators, it utilises current understanding of the causes and effects of land degradation and how different land-management practices influence these, and links this knowledge to definite land-management options.
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DOI: 10.1006/jema.2000.0384
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N Thwaites</name><affiliation><mods:affiliation>School of Food and Land, The University of Queensland, St Lucia, 4072, Queensland, Australia</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:E8AFA97CAFCCCD8335F64767AF880E8FA3FF2BCE</idno><date when="2000" year="2000">2000</date><idno type="doi">10.1006/jema.2000.0384</idno><idno type="url">https://api.istex.fr/document/E8AFA97CAFCCCD8335F64767AF880E8FA3FF2BCE/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">001201</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001201</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">TIM: Assessing the sustainability of agricultural land management</title><author><name sortKey="Smith, C S" sort="Smith, C S" uniqKey="Smith C" first="C. S" last="Smith">C. S Smith</name><affiliation><mods:affiliation>The Department of Geomatics, The University of Melbourne, Parkville, 3010, Victoria, Australia</mods:affiliation></affiliation></author><author><name sortKey="Mcdonald, G T" sort="Mcdonald, G T" uniqKey="Mcdonald G" first="G. T" last="Mcdonald">G. T Mcdonald</name><affiliation><mods:affiliation>The Department of Geographical Sciences and Planning, University of Queensland, St. Lucia, 4072, Queensland, Australia</mods:affiliation></affiliation></author><author><name sortKey="Thwaites, R N" sort="Thwaites, R N" uniqKey="Thwaites R" first="R. N" last="Thwaites">R. N Thwaites</name><affiliation><mods:affiliation>School of Food and Land, The University of Queensland, St Lucia, 4072, Queensland, Australia</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Journal of Environmental Management</title><title level="j" type="abbrev">YJEMA</title><idno type="ISSN">0301-4797</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000">2000</date><biblScope unit="volume">60</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="267">267</biblScope><biblScope unit="page" to="288">288</biblScope></imprint><idno type="ISSN">0301-4797</idno></series><idno type="istex">E8AFA97CAFCCCD8335F64767AF880E8FA3FF2BCE</idno><idno type="DOI">10.1006/jema.2000.0384</idno><idno type="PII">S0301-4797(00)90384-0</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0301-4797</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>sustainable agriculture, land-use planning, land evaluation, sustainable development.</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">TIM (Threat Identification Model) is a framework for the ex ante assessment of agricultural land management sustainability at the land unit scale that identifies sources of unsustainability within agricultural land management systems. The model explicitly links defined hazards to land productivity and environmental integrity, land resource data and information, and land management practice options using expert and local knowledge on land management and its potential effects. The model was tested in the Crystal Creek Subcatchment, a narrow coastal strip of land situated in north Queensland, Australia. This area was chosen due to the expansion of the sugar industry onto increasingly marginal land in the area, which represents a threat to sustainable land use and a requirement for careful land-use planning and land management.TIM may be used in a relational database as a stand alone decision support system for land-management planning. Its usefulness in land-use planning is greatest when it is linked to a Geographic Information System (GIS) as shown in this paper. GIS allows TIM outputs, such as constraints to agriculture and site-specific best-management practices, to be identified in a spatially explicit manner.The main advantages of TIM are that it can be done ex ante, it removes the need to define sustainability assessment criteria and indicators, it utilises current understanding of the causes and effects of land degradation and how different land-management practices influence these, and links this knowledge to definite land-management options.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>C.S Smith</name><affiliations><json:string>The Department of Geomatics, The University of Melbourne, Parkville, 3010, Victoria, Australia</json:string></affiliations></json:item><json:item><name>G.T McDonald</name><affiliations><json:string>The Department of Geographical Sciences and Planning, University of Queensland, St. Lucia, 4072, Queensland, Australia</json:string></affiliations></json:item><json:item><name>R.N Thwaites</name><affiliations><json:string>School of Food and Land, The University of Queensland, St Lucia, 4072, Queensland, Australia</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>sustainable agriculture, land-use planning, land evaluation, sustainable development.</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>TIM (Threat Identification Model) is a framework for the ex ante assessment of agricultural land management sustainability at the land unit scale that identifies sources of unsustainability within agricultural land management systems. 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The model explicitly links defined hazards to land productivity and environmental integrity, land resource data and information, and land management practice options using expert and local knowledge on land management and its potential effects. The model was tested in the Crystal Creek Subcatchment, a narrow coastal strip of land situated in north Queensland, Australia. This area was chosen due to the expansion of the sugar industry onto increasingly marginal land in the area, which represents a threat to sustainable land use and a requirement for careful land-use planning and land management.</ce:simple-para><ce:simple-para id="simple-para0010">TIM may be used in a relational database as a stand alone decision support system for land-management planning. Its usefulness in land-use planning is greatest when it is linked to a Geographic Information System (GIS) as shown in this paper. GIS allows TIM outputs, such as constraints to agriculture and site-specific best-management practices, to be identified in a spatially explicit manner.</ce:simple-para><ce:simple-para id="simple-para0015">The main advantages of TIM are that it can be done ex ante, it removes the need to define sustainability assessment criteria and indicators, it utilises current understanding of the causes and effects of land degradation and how different land-management practices influence these, and links this knowledge to definite land-management options.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>sustainable agriculture, land-use planning, land evaluation, sustainable development.</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>TIM: Assessing the sustainability of agricultural land management</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>TIM: Assessing the sustainability of agricultural land management</title></titleInfo><name type="personal"><namePart type="given">C.S</namePart><namePart type="family">Smith</namePart><affiliation>The Department of Geomatics, The University of Melbourne, Parkville, 3010, Victoria, Australia</affiliation><description>Corresponding author</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">G.T</namePart><namePart type="family">McDonald</namePart><affiliation>The Department of Geographical Sciences and Planning, University of Queensland, St. Lucia, 4072, Queensland, Australia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">R.N</namePart><namePart type="family">Thwaites</namePart><affiliation>School of Food and Land, The University of Queensland, St Lucia, 4072, Queensland, Australia</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><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">TIM (Threat Identification Model) is a framework for the ex ante assessment of agricultural land management sustainability at the land unit scale that identifies sources of unsustainability within agricultural land management systems. 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