Système d'information stratégique et agriculture (serveur d'exploration)

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Quantifying economic and biophysical sustainability trade-offs in land use exploration at the regional level: a case study for the Northern Atlantic Zone of Costa Rica

Identifieur interne : 000893 ( Istex/Corpus ); précédent : 000892; suivant : 000894

Quantifying economic and biophysical sustainability trade-offs in land use exploration at the regional level: a case study for the Northern Atlantic Zone of Costa Rica

Auteurs : B. A. M Bouman ; R. A Schipper ; A. Nieuwenhuyse ; H. Hengsdijk ; H. G. P Jansen

Source :

RBID : ISTEX:04E19EDB7EC76042C49AB7ED0CE3FED3951ED693

English descriptors

Abstract

A generic methodology is presented for exploration of sustainable land use options at the regional level by quantifying trade-offs between socio-economic and biophysical sustainability objectives. The methodology is called SOLUS (Sustainable Options for Land USe), and was developed over a ten year period of investigation in the Northern Atlantic Zone of Costa Rica. SOLUS includes a linear programming model, technical coefficient generators for livestock and cropping activities and a geographic information system. The linear programming model maximizes regional economic surplus subject to a flexible number of resource and sustainability constraints. Economic sustainability indicators are economic surplus and labor employment, and biophysical ones include soil N, P and K balances, pesticide use and its environmental impact, nutrient losses and a proxy for trace gas emissions. The capabilities of the methodology are illustrated for the Northern Atlantic Zone of Costa Rica. Though ample scope exists for reducing environmental effects and introducing sustainable production systems separately, pursuing both objectives simultaneously, considerably reduces economic surplus and agricultural employment. Agricultural area can be decreased and forested area increased without severely affecting the regional economic surplus.

Url:
DOI: 10.1016/S0304-3800(98)00121-5

Links to Exploration step

ISTEX:04E19EDB7EC76042C49AB7ED0CE3FED3951ED693

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<note type="content">Fig. 1: Case study area in the Northern Atlantic Zone of Costa Rica.</note>
<note type="content">Fig. 2: Soil resources in the NAZ study area. SFW, Soil fertile well drained; SFP, Soil fertile poorly drained; SIW, Soil infertile well drained.</note>
<note type="content">Fig. 3: Structure of the SOLUS methodology. Grey boxes are models/tools; ovals are data; blank names are activities; drawn lines are flow of data; dotted lines are flow of information.</note>
<note type="content">Fig. 4: Relationship between PAST, FAST and APST.</note>
<note type="content">Fig. 5: Sub-zones in the NAZ study area.</note>
<note type="content">Table 1: Estimated actual land use (1992) in the case study area in the Northern Atlantic Zone of Costa Rica (based on Belder, 1994)</note>
<note type="content">Table 2: Transport costs in colon/kg product, product/sub zone</note>
<note type="content">Table 3: Area available for agriculture (i.e. not having a protected status) per soil type (in ha), and agricultural labor pool (in number of persons) per sub zone</note>
<note type="content">Table 4: Results of REALM for the base run and for scenarios 1–6 (see text for explanation)</note>
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<ce:simple-para>A generic methodology is presented for exploration of sustainable land use options at the regional level by quantifying trade-offs between socio-economic and biophysical sustainability objectives. The methodology is called SOLUS (Sustainable Options for Land USe), and was developed over a ten year period of investigation in the Northern Atlantic Zone of Costa Rica. SOLUS includes a linear programming model, technical coefficient generators for livestock and cropping activities and a geographic information system. The linear programming model maximizes regional economic surplus subject to a flexible number of resource and sustainability constraints. Economic sustainability indicators are economic surplus and labor employment, and biophysical ones include soil N, P and K balances, pesticide use and its environmental impact, nutrient losses and a proxy for trace gas emissions. The capabilities of the methodology are illustrated for the Northern Atlantic Zone of Costa Rica. Though ample scope exists for reducing environmental effects and introducing sustainable production systems separately, pursuing both objectives simultaneously, considerably reduces economic surplus and agricultural employment. Agricultural area can be decreased and forested area increased without severely affecting the regional economic surplus.</ce:simple-para>
</ce:abstract-sec>
</ce:abstract>
<ce:keywords class="keyword">
<ce:section-title>Keywords</ce:section-title>
<ce:keyword>
<ce:text>Linear programming</ce:text>
</ce:keyword>
<ce:keyword>
<ce:text>Technical coefficient</ce:text>
</ce:keyword>
<ce:keyword>
<ce:text>GIS</ce:text>
</ce:keyword>
</ce:keywords>
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<title>Quantifying economic and biophysical sustainability trade-offs in land use exploration at the regional level: a case study for the Northern Atlantic Zone of Costa Rica</title>
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<title>Quantifying economic and biophysical sustainability trade-offs in land use exploration at the regional level: a case study for the Northern Atlantic Zone of Costa Rica</title>
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<name type="personal">
<namePart type="given">B.A.M</namePart>
<namePart type="family">Bouman</namePart>
<affiliation>Wageningen Agricultural University, REPOSA, Apartado 224–7210, Guápiles, Costa Rica</affiliation>
<description>Corresponding author. Tel.: +506 7106595; fax: +506 7102327; e-mail: bbouman@sol.racsa.co.cr</description>
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<name type="personal">
<namePart type="given">R.A</namePart>
<namePart type="family">Schipper</namePart>
<affiliation>Department of Development Economics, Wageningen Agricultural University, Wageningen, Netherlands</affiliation>
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<name type="personal">
<namePart type="given">A</namePart>
<namePart type="family">Nieuwenhuyse</namePart>
<affiliation>Wageningen Agricultural University, REPOSA, Apartado 224–7210, Guápiles, Costa Rica</affiliation>
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<name type="personal">
<namePart type="given">H</namePart>
<namePart type="family">Hengsdijk</namePart>
<affiliation>Wageningen Agricultural University, REPOSA, Apartado 224–7210, Guápiles, Costa Rica</affiliation>
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<roleTerm type="text">author</roleTerm>
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<name type="personal">
<namePart type="given">H.G.P</namePart>
<namePart type="family">Jansen</namePart>
<affiliation>Wageningen Agricultural University, REPOSA, Apartado 224–7210, Guápiles, Costa Rica</affiliation>
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<dateIssued encoding="w3cdtf">1998</dateIssued>
<copyrightDate encoding="w3cdtf">1998</copyrightDate>
</originInfo>
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<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
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<abstract lang="en">A generic methodology is presented for exploration of sustainable land use options at the regional level by quantifying trade-offs between socio-economic and biophysical sustainability objectives. The methodology is called SOLUS (Sustainable Options for Land USe), and was developed over a ten year period of investigation in the Northern Atlantic Zone of Costa Rica. SOLUS includes a linear programming model, technical coefficient generators for livestock and cropping activities and a geographic information system. The linear programming model maximizes regional economic surplus subject to a flexible number of resource and sustainability constraints. Economic sustainability indicators are economic surplus and labor employment, and biophysical ones include soil N, P and K balances, pesticide use and its environmental impact, nutrient losses and a proxy for trace gas emissions. The capabilities of the methodology are illustrated for the Northern Atlantic Zone of Costa Rica. Though ample scope exists for reducing environmental effects and introducing sustainable production systems separately, pursuing both objectives simultaneously, considerably reduces economic surplus and agricultural employment. Agricultural area can be decreased and forested area increased without severely affecting the regional economic surplus.</abstract>
<note type="content">Fig. 1: Case study area in the Northern Atlantic Zone of Costa Rica.</note>
<note type="content">Fig. 2: Soil resources in the NAZ study area. SFW, Soil fertile well drained; SFP, Soil fertile poorly drained; SIW, Soil infertile well drained.</note>
<note type="content">Fig. 3: Structure of the SOLUS methodology. Grey boxes are models/tools; ovals are data; blank names are activities; drawn lines are flow of data; dotted lines are flow of information.</note>
<note type="content">Fig. 4: Relationship between PAST, FAST and APST.</note>
<note type="content">Fig. 5: Sub-zones in the NAZ study area.</note>
<note type="content">Table 1: Estimated actual land use (1992) in the case study area in the Northern Atlantic Zone of Costa Rica (based on Belder, 1994)</note>
<note type="content">Table 2: Transport costs in colon/kg product, product/sub zone</note>
<note type="content">Table 3: Area available for agriculture (i.e. not having a protected status) per soil type (in ha), and agricultural labor pool (in number of persons) per sub zone</note>
<note type="content">Table 4: Results of REALM for the base run and for scenarios 1–6 (see text for explanation)</note>
<subject lang="en">
<genre>Keywords</genre>
<topic>Linear programming</topic>
<topic>Technical coefficient</topic>
<topic>GIS</topic>
</subject>
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<title>Ecological Modelling</title>
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<title>ECOMOD</title>
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<genre type="journal">journal</genre>
<originInfo>
<dateIssued encoding="w3cdtf">19981201</dateIssued>
</originInfo>
<identifier type="ISSN">0304-3800</identifier>
<identifier type="PII">S0304-3800(00)X0066-X</identifier>
<part>
<date>19981201</date>
<detail type="volume">
<number>114</number>
<caption>vol.</caption>
</detail>
<detail type="issue">
<number>1</number>
<caption>no.</caption>
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<extent unit="issue pages">
<start>1</start>
<end>112</end>
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<end>109</end>
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<identifier type="DOI">10.1016/S0304-3800(98)00121-5</identifier>
<identifier type="PII">S0304-3800(98)00121-5</identifier>
<accessCondition type="use and reproduction" contentType="copyright">©1998 Elsevier Science B.V.</accessCondition>
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