Multicriteria optimization of landscapes using GIS-based functional assessments
Identifieur interne : 000760 ( Istex/Corpus ); précédent : 000759; suivant : 000761Multicriteria optimization of landscapes using GIS-based functional assessments
Auteurs : Ralf Grabaum ; Burghard C. MeyerSource :
- Landscape and Urban Planning [ 0169-2046 ] ; 1998.
Abstract
This paper introduces a new way of using GIS to support decision making in the planning process and to develop regional guidelines. The method of `multicriteria optimization' helps new methodological standards to be established for integrating the various results of functional landscape ecology assessments of the type usually carried out in ecological planning, and enables the overall comparison of competing aims. This technique allows different aims in a geographical region to be quantified and takes into account different weightings of scenarios. Different functional assessments (soil erosion hazards caused by water flow, groundwater regeneration, water discharge regulation) and an assessment of the agricultural production function were carried out using GIS for a test site measuring 48km2 in a glacial end moraine area to the north of Leipzig (Saxony, Germany). The results were presented in the form of ordinal assessment classes which express tendencies. On the basis of these assessment results, aims for the calculation of an optimal land-use pattern were defined and weighted in different scenarios. Multicriteria optimization calculates optimal compromises with regard to these aims which can be measured and compared with goal function values. Although the method cannot replace decision making by the planner, which is often difficult and can generally not be quantitatively verified, it can help to make the planning process more objective.
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DOI: 10.1016/S0169-2046(98)00099-1
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Meyer</name><affiliation><mods:affiliation>Department of Conservation Biology and Natural Resources, Centre For Environmental Research, Permoserstr. 15, 04318LeipzigGermany</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Landscape and Urban Planning</title><title level="j" type="abbrev">LAND</title><idno type="ISSN">0169-2046</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1998">1998</date><biblScope unit="volume">43</biblScope><biblScope unit="issue">1–3</biblScope><biblScope unit="page" from="21">21</biblScope><biblScope unit="page" to="34">34</biblScope></imprint><idno type="ISSN">0169-2046</idno></series><idno type="istex">D19A0DB965987D9849E63A266DB376433AC7E520</idno><idno type="DOI">10.1016/S0169-2046(98)00099-1</idno><idno type="PII">S0169-2046(98)00099-1</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0169-2046</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper introduces a new way of using GIS to support decision making in the planning process and to develop regional guidelines. The method of `multicriteria optimization' helps new methodological standards to be established for integrating the various results of functional landscape ecology assessments of the type usually carried out in ecological planning, and enables the overall comparison of competing aims. This technique allows different aims in a geographical region to be quantified and takes into account different weightings of scenarios. Different functional assessments (soil erosion hazards caused by water flow, groundwater regeneration, water discharge regulation) and an assessment of the agricultural production function were carried out using GIS for a test site measuring 48km2 in a glacial end moraine area to the north of Leipzig (Saxony, Germany). The results were presented in the form of ordinal assessment classes which express tendencies. On the basis of these assessment results, aims for the calculation of an optimal land-use pattern were defined and weighted in different scenarios. Multicriteria optimization calculates optimal compromises with regard to these aims which can be measured and compared with goal function values. Although the method cannot replace decision making by the planner, which is often difficult and can generally not be quantitatively verified, it can help to make the planning process more objective.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Ralf Grabaum</name><affiliations><json:string>Department of Conservation Biology and Natural Resources, Centre For Environmental Research, Permoserstr. 15, 04318LeipzigGermany</json:string></affiliations></json:item><json:item><name>Burghard C. Meyer</name><affiliations><json:string>Department of Conservation Biology and Natural Resources, Centre For Environmental Research, Permoserstr. 15, 04318LeipzigGermany</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Functional assessment of landscape</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Multicriteria optimization</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Planning methodology</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>This paper introduces a new way of using GIS to support decision making in the planning process and to develop regional guidelines. The method of `multicriteria optimization' helps new methodological standards to be established for integrating the various results of functional landscape ecology assessments of the type usually carried out in ecological planning, and enables the overall comparison of competing aims. This technique allows different aims in a geographical region to be quantified and takes into account different weightings of scenarios. Different functional assessments (soil erosion hazards caused by water flow, groundwater regeneration, water discharge regulation) and an assessment of the agricultural production function were carried out using GIS for a test site measuring 48km2 in a glacial end moraine area to the north of Leipzig (Saxony, Germany). The results were presented in the form of ordinal assessment classes which express tendencies. On the basis of these assessment results, aims for the calculation of an optimal land-use pattern were defined and weighted in different scenarios. Multicriteria optimization calculates optimal compromises with regard to these aims which can be measured and compared with goal function values. Although the method cannot replace decision making by the planner, which is often difficult and can generally not be quantitatively verified, it can help to make the planning process more objective.</abstract><qualityIndicators><score>6.917</score><pdfVersion>1.2</pdfVersion><pdfPageSize>522 x 745 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>3</keywordCount><abstractCharCount>1463</abstractCharCount><pdfWordCount>4325</pdfWordCount><pdfCharCount>28232</pdfCharCount><pdfPageCount>14</pdfPageCount><abstractWordCount>216</abstractWordCount></qualityIndicators><title>Multicriteria optimization of landscapes using GIS-based functional assessments</title><pii><json:string>S0169-2046(98)00099-1</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>43</volume><pii><json:string>S0169-2046(00)X0031-X</json:string></pii><pages><last>34</last><first>21</first></pages><issn><json:string>0169-2046</json:string></issn><issue>1–3</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Landscape and Urban Planning</title><publicationDate>1998</publicationDate></host><categories><wos><json:string>social science</json:string><json:string>urban studies</json:string><json:string>geography</json:string><json:string>environmental studies</json:string><json:string>science</json:string><json:string>geography, physical</json:string><json:string>ecology</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>built environment & design</json:string><json:string>urban & regional planning</json:string></scienceMetrix></categories><publicationDate>1998</publicationDate><copyrightDate>1998</copyrightDate><doi><json:string>10.1016/S0169-2046(98)00099-1</json:string></doi><id>D19A0DB965987D9849E63A266DB376433AC7E520</id><score>0.0370024</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/D19A0DB965987D9849E63A266DB376433AC7E520/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/D19A0DB965987D9849E63A266DB376433AC7E520/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/D19A0DB965987D9849E63A266DB376433AC7E520/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">Multicriteria optimization of landscapes using GIS-based functional assessments</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©1998 Elsevier Science B.V.</p></availability><date>1998</date></publicationStmt><notesStmt><note>For a test site near Leipzig. The present work is part of the project `Regeneration of highly stressed ecosystems (landscapes) to achieve sustainable land use in the Leipzig–Halle–Bitterfeld region (REGNAL)' run by the German Federal Ministry of Education, Science, Research And Technology (BMBF).</note><note type="content">Fig. 1: The method of multicriteria assessment and optimization as a basis for goal-oriented landscape planning.</note><note type="content">Fig. 2: Land use (simplified) in the test area (mapped in 1994).</note><note type="content">Fig. 3: Methodological sequence and linkage of data layers in GIS for the assessment of soil loss hazards by water.</note><note type="content">Fig. 4: Assessment of soil erosion by water at bare fallow.</note><note type="content">Fig. 5: Assessment of water discharge regulation function.</note><note type="content">Fig. 6: Assessment of the groundwater regulation function.</note><note type="content">Fig. 7: Assessment of the production function (theoretical soil values).</note><note type="content">Fig. 8: Set of variables and a fictive solution (occupation of variables).</note><note type="content">Fig. 9: Mathematical formulation of the multicriteria landscape optimization model.</note><note type="content">Fig. 10: Land-use options generated by maximizing protection against soil loss by water.</note><note type="content">Fig. 11: Land-use options generated as an optimal compromise between four functions.</note><note type="content">Fig. 12: Percentage comparison of goal function values of actual land use and three other land-use options (0 describes the minimum goal function value within the optimization boundaries, 100 the maximum goal function value; in terms of actual land use these values may be higher or lower as they are not affected by optimization boundaries).</note><note type="content">Table 1: Optimization boundaries (OB) for land-use-types on the polygons of the test site, Jesewitz (actual land use arable land and pits taking into account the described general guideline)</note><note type="content">Table 2: Share of land-use-types in different solutions compared with actual land use</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">Multicriteria optimization of landscapes using GIS-based functional assessments</title><author xml:id="author-1"><persName><forename type="first">Ralf</forename><surname>Grabaum</surname></persName><note type="correspondence"><p>Corresponding author. Tel.: +49-341-235-2056; fax: +49-341-235-2534; e-mail: ralf@alok.ufz.de</p></note><affiliation>Department of Conservation Biology and Natural Resources, Centre For Environmental Research, Permoserstr. 15, 04318LeipzigGermany</affiliation></author><author xml:id="author-2"><persName><forename type="first">Burghard C.</forename><surname>Meyer</surname></persName><note type="biography">meyer@alok.ufz.de</note><affiliation>meyer@alok.ufz.de</affiliation><affiliation>Department of Conservation Biology and Natural Resources, Centre For Environmental Research, Permoserstr. 15, 04318LeipzigGermany</affiliation></author></analytic><monogr><title level="j">Landscape and Urban Planning</title><title level="j" type="abbrev">LAND</title><idno type="pISSN">0169-2046</idno><idno type="PII">S0169-2046(00)X0031-X</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1998"></date><biblScope unit="volume">43</biblScope><biblScope unit="issue">1–3</biblScope><biblScope unit="page" from="21">21</biblScope><biblScope unit="page" to="34">34</biblScope></imprint></monogr><idno type="istex">D19A0DB965987D9849E63A266DB376433AC7E520</idno><idno type="DOI">10.1016/S0169-2046(98)00099-1</idno><idno type="PII">S0169-2046(98)00099-1</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1998</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>This paper introduces a new way of using GIS to support decision making in the planning process and to develop regional guidelines. The method of `multicriteria optimization' helps new methodological standards to be established for integrating the various results of functional landscape ecology assessments of the type usually carried out in ecological planning, and enables the overall comparison of competing aims. This technique allows different aims in a geographical region to be quantified and takes into account different weightings of scenarios. Different functional assessments (soil erosion hazards caused by water flow, groundwater regeneration, water discharge regulation) and an assessment of the agricultural production function were carried out using GIS for a test site measuring 48km2 in a glacial end moraine area to the north of Leipzig (Saxony, Germany). The results were presented in the form of ordinal assessment classes which express tendencies. On the basis of these assessment results, aims for the calculation of an optimal land-use pattern were defined and weighted in different scenarios. Multicriteria optimization calculates optimal compromises with regard to these aims which can be measured and compared with goal function values. Although the method cannot replace decision making by the planner, which is often difficult and can generally not be quantitatively verified, it can help to make the planning process more objective.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>Functional assessment of landscape</term></item><item><term>Multicriteria optimization</term></item><item><term>Planning methodology</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1998-03-07">Modified</change><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/D19A0DB965987D9849E63A266DB376433AC7E520/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:entity SYSTEM="gr6" NDATA="IMAGE" name="gr6"></istex:entity><istex:entity SYSTEM="gr7" NDATA="IMAGE" name="gr7"></istex:entity><istex:entity SYSTEM="gr8" NDATA="IMAGE" name="gr8"></istex:entity><istex:entity SYSTEM="gr9" NDATA="IMAGE" name="gr9"></istex:entity><istex:entity SYSTEM="gr10" NDATA="IMAGE" name="gr10"></istex:entity><istex:entity SYSTEM="gr11" NDATA="IMAGE" name="gr11"></istex:entity><istex:entity SYSTEM="gr12" NDATA="IMAGE" name="gr12"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>LAND</jid><aid>554</aid><ce:pii>S0169-2046(98)00099-1</ce:pii><ce:doi>10.1016/S0169-2046(98)00099-1</ce:doi><ce:copyright year="1998" type="full-transfer">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>Multicriteria optimization of landscapes using GIS-based functional assessments<ce:footnote id="FN1"><ce:label>1</ce:label><ce:note-para>For a test site near Leipzig. The present work is part of the project `Regeneration of highly stressed ecosystems (landscapes) to achieve sustainable land use in the Leipzig–Halle–Bitterfeld region (REGNAL)' run by the German Federal Ministry of Education, Science, Research And Technology (BMBF).</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>Ralf</ce:given-name><ce:surname>Grabaum</ce:surname><ce:cross-ref refid="CORR1">*</ce:cross-ref></ce:author><ce:author><ce:given-name>Burghard C.</ce:given-name><ce:surname>Meyer</ce:surname><ce:cross-ref refid="FN2"><ce:sup>2</ce:sup></ce:cross-ref><ce:cross-ref refid="FN2"><ce:sup>2</ce:sup></ce:cross-ref></ce:author><ce:affiliation><ce:textfn>Department of Conservation Biology and Natural Resources, Centre For Environmental Research, Permoserstr. 15, 04318LeipzigGermany</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Tel.: +49-341-235-2056; fax: +49-341-235-2534; e-mail: ralf@alok.ufz.de</ce:text></ce:correspondence><ce:footnote id="FN2"><ce:label>2</ce:label><ce:note-para>meyer@alok.ufz.de</ce:note-para></ce:footnote></ce:author-group><ce:date-received day="12" month="1" year="1997"></ce:date-received><ce:date-revised day="7" month="3" year="1998"></ce:date-revised><ce:date-accepted day="27" month="7" year="1998"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>This paper introduces a new way of using GIS to support decision making in the planning process and to develop regional guidelines. The method of `multicriteria optimization' helps new methodological standards to be established for integrating the various results of functional landscape ecology assessments of the type usually carried out in ecological planning, and enables the overall comparison of competing aims. This technique allows different aims in a geographical region to be quantified and takes into account different weightings of scenarios. Different functional assessments (soil erosion hazards caused by water flow, groundwater regeneration, water discharge regulation) and an assessment of the agricultural production function were carried out using GIS for a test site measuring 48<ce:hsp sp="0.25"></ce:hsp>km<ce:sup>2</ce:sup> in a glacial end moraine area to the north of Leipzig (Saxony, Germany). The results were presented in the form of ordinal assessment classes which express tendencies. On the basis of these assessment results, aims for the calculation of an optimal land-use pattern were defined and weighted in different scenarios. Multicriteria optimization calculates optimal compromises with regard to these aims which can be measured and compared with goal function values. Although the method cannot replace decision making by the planner, which is often difficult and can generally not be quantitatively verified, it can help to make the planning process more objective.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Functional assessment of landscape</ce:text></ce:keyword><ce:keyword><ce:text>Multicriteria optimization</ce:text></ce:keyword><ce:keyword><ce:text>Planning methodology</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Multicriteria optimization of landscapes using GIS-based functional assessments</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Multicriteria optimization of landscapes using GIS-based functional assessments</title></titleInfo><name type="personal"><namePart type="given">Ralf</namePart><namePart type="family">Grabaum</namePart><affiliation>Department of Conservation Biology and Natural Resources, Centre For Environmental Research, Permoserstr. 15, 04318LeipzigGermany</affiliation><description>Corresponding author. Tel.: +49-341-235-2056; fax: +49-341-235-2534; e-mail: ralf@alok.ufz.de</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Burghard C.</namePart><namePart type="family">Meyer</namePart><affiliation>Department of Conservation Biology and Natural Resources, Centre For Environmental Research, Permoserstr. 15, 04318LeipzigGermany</affiliation><description>meyer@alok.ufz.de</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">1998</dateIssued><dateModified encoding="w3cdtf">1998-03-07</dateModified><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">This paper introduces a new way of using GIS to support decision making in the planning process and to develop regional guidelines. The method of `multicriteria optimization' helps new methodological standards to be established for integrating the various results of functional landscape ecology assessments of the type usually carried out in ecological planning, and enables the overall comparison of competing aims. This technique allows different aims in a geographical region to be quantified and takes into account different weightings of scenarios. Different functional assessments (soil erosion hazards caused by water flow, groundwater regeneration, water discharge regulation) and an assessment of the agricultural production function were carried out using GIS for a test site measuring 48km2 in a glacial end moraine area to the north of Leipzig (Saxony, Germany). The results were presented in the form of ordinal assessment classes which express tendencies. On the basis of these assessment results, aims for the calculation of an optimal land-use pattern were defined and weighted in different scenarios. Multicriteria optimization calculates optimal compromises with regard to these aims which can be measured and compared with goal function values. Although the method cannot replace decision making by the planner, which is often difficult and can generally not be quantitatively verified, it can help to make the planning process more objective.</abstract><note type="footnote">For a test site near Leipzig. The present work is part of the project `Regeneration of highly stressed ecosystems (landscapes) to achieve sustainable land use in the Leipzig–Halle–Bitterfeld region (REGNAL)' run by the German Federal Ministry of Education, Science, Research And Technology (BMBF).</note><note type="content">Fig. 1: The method of multicriteria assessment and optimization as a basis for goal-oriented landscape planning.</note><note type="content">Fig. 2: Land use (simplified) in the test area (mapped in 1994).</note><note type="content">Fig. 3: Methodological sequence and linkage of data layers in GIS for the assessment of soil loss hazards by water.</note><note type="content">Fig. 4: Assessment of soil erosion by water at bare fallow.</note><note type="content">Fig. 5: Assessment of water discharge regulation function.</note><note type="content">Fig. 6: Assessment of the groundwater regulation function.</note><note type="content">Fig. 7: Assessment of the production function (theoretical soil values).</note><note type="content">Fig. 8: Set of variables and a fictive solution (occupation of variables).</note><note type="content">Fig. 9: Mathematical formulation of the multicriteria landscape optimization model.</note><note type="content">Fig. 10: Land-use options generated by maximizing protection against soil loss by water.</note><note type="content">Fig. 11: Land-use options generated as an optimal compromise between four functions.</note><note type="content">Fig. 12: Percentage comparison of goal function values of actual land use and three other land-use options (0 describes the minimum goal function value within the optimization boundaries, 100 the maximum goal function value; in terms of actual land use these values may be higher or lower as they are not affected by optimization boundaries).</note><note type="content">Table 1: Optimization boundaries (OB) for land-use-types on the polygons of the test site, Jesewitz (actual land use arable land and pits taking into account the described general guideline)</note><note type="content">Table 2: Share of land-use-types in different solutions compared with actual land use</note><subject><genre>Keywords</genre><topic>Functional assessment of landscape</topic><topic>Multicriteria optimization</topic><topic>Planning methodology</topic></subject><relatedItem type="host"><titleInfo><title>Landscape and Urban Planning</title></titleInfo><titleInfo type="abbreviated"><title>LAND</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">19981228</dateIssued></originInfo><identifier type="ISSN">0169-2046</identifier><identifier type="PII">S0169-2046(00)X0031-X</identifier><part><date>19981228</date><detail type="volume"><number>43</number><caption>vol.</caption></detail><detail type="issue"><number>1–3</number><caption>no.</caption></detail><extent unit="issue pages"><start>1</start><end>166</end></extent><extent unit="pages"><start>21</start><end>34</end></extent></part></relatedItem><identifier type="istex">D19A0DB965987D9849E63A266DB376433AC7E520</identifier><identifier type="DOI">10.1016/S0169-2046(98)00099-1</identifier><identifier type="PII">S0169-2046(98)00099-1</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)
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