Combining farmers’ decision rules and landscape stochastic regularities for landscape modelling
Identifieur interne : 003995 ( Istex/Corpus ); précédent : 003994; suivant : 003996Combining farmers’ decision rules and landscape stochastic regularities for landscape modelling
Auteurs : Noémie Schaller ; El Ghali Lazrak ; Philippe Martin ; Jean-François Mari ; Christine Aubry ; Marc BenoîtSource :
- Landscape Ecology [ 0921-2973 ] ; 2012-03-01.
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Abstract
Abstract: Landscape spatial organization (LSO) strongly impacts many environmental issues. Modelling agricultural landscapes and describing meaningful landscape patterns are thus regarded as key-issues for designing sustainable landscapes. Agricultural landscapes are mostly designed by farmers. Their decisions dealing with crop choices and crop allocation to land can be generic and result in landscape regularities, which determine LSO. This paper comes within the emerging discipline called “landscape agronomy”, aiming at studying the organization of farming practices at the landscape scale. We here aim at articulating the farm and the landscape scales for landscape modelling. To do so, we develop an original approach consisting in the combination of two methods used separately so far: the identification of explicit farmer decision rules through on-farm surveys methods and the identification of landscape stochastic regularities through data-mining. We applied this approach to the Niort plain landscape in France. Results show that generic farmer decision rules dealing with sunflower or maize area and location within landscapes are consistent with spatiotemporal regularities identified at the landscape scale. It results in a segmentation of the landscape, based on both its spatial and temporal organization and partly explained by generic farmer decision rules. This consistency between results points out that the two modelling methods aid one another for land-use modelling at landscape scale and for understanding the driving forces of its spatial organization. Despite some remaining challenges, our study in landscape agronomy accounts for both spatial and temporal dimensions of crop allocation: it allows the drawing of new spatial patterns coherent with land-use dynamics at the landscape scale, which improves the links to the scale of ecological processes and therefore contributes to landscape ecology.
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DOI: 10.1007/s10980-011-9691-2
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France</mods:affiliation></affiliation></author><author><name sortKey="Aubry, Christine" sort="Aubry, Christine" uniqKey="Aubry C" first="Christine" last="Aubry">Christine Aubry</name><affiliation><mods:affiliation>AgroParisTech, INRA, UMR 1048 SAD-APT, Bâtiment EGER, BP 01, 78 850, Thiverval-Grignon, France</mods:affiliation></affiliation></author><author><name sortKey="Benoit, Marc" sort="Benoit, Marc" uniqKey="Benoit M" first="Marc" last="Benoît">Marc Benoît</name><affiliation><mods:affiliation>INRA, UR 055 SAD ASTER, 88500, Mirecourt, France</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Landscape Ecology</title><title level="j" type="abbrev">Landscape Ecol</title><idno type="ISSN">0921-2973</idno><idno type="eISSN">1572-9761</idno><imprint><publisher>Springer Netherlands</publisher><pubPlace>Dordrecht</pubPlace><date type="published" when="2012-03-01">2012-03-01</date><biblScope unit="volume">27</biblScope><biblScope 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Modelling agricultural landscapes and describing meaningful landscape patterns are thus regarded as key-issues for designing sustainable landscapes. Agricultural landscapes are mostly designed by farmers. Their decisions dealing with crop choices and crop allocation to land can be generic and result in landscape regularities, which determine LSO. This paper comes within the emerging discipline called “landscape agronomy”, aiming at studying the organization of farming practices at the landscape scale. We here aim at articulating the farm and the landscape scales for landscape modelling. To do so, we develop an original approach consisting in the combination of two methods used separately so far: the identification of explicit farmer decision rules through on-farm surveys methods and the identification of landscape stochastic regularities through data-mining. We applied this approach to the Niort plain landscape in France. Results show that generic farmer decision rules dealing with sunflower or maize area and location within landscapes are consistent with spatiotemporal regularities identified at the landscape scale. It results in a segmentation of the landscape, based on both its spatial and temporal organization and partly explained by generic farmer decision rules. This consistency between results points out that the two modelling methods aid one another for land-use modelling at landscape scale and for understanding the driving forces of its spatial organization. Despite some remaining challenges, our study in landscape agronomy accounts for both spatial and temporal dimensions of crop allocation: it allows the drawing of new spatial patterns coherent with land-use dynamics at the landscape scale, which improves the links to the scale of ecological processes and therefore contributes to landscape ecology.</div></front></TEI><istex><corpusName>springer-journals</corpusName><author><json:item><name>Noémie Schaller</name><affiliations><json:string>AgroParisTech, INRA, UMR 1048 SAD-APT, Bâtiment EGER, BP 01, 78 850, Thiverval-Grignon, France</json:string><json:string>E-mail: noemie.schaller@agroparistech.fr</json:string></affiliations></json:item><json:item><name>El Ghali Lazrak</name><affiliations><json:string>INRA, UR 055 SAD ASTER, 88500, Mirecourt, France</json:string></affiliations></json:item><json:item><name>Philippe Martin</name><affiliations><json:string>AgroParisTech, INRA, UMR 1048 SAD-APT, Bâtiment EGER, BP 01, 78 850, Thiverval-Grignon, France</json:string></affiliations></json:item><json:item><name>Jean-François Mari</name><affiliations><json:string>LORIA, UMR CNRS 7503 INRIA-Grand-Est, B.P. 239, 54506, Vandœuvre-lès-Nancy, France</json:string></affiliations></json:item><json:item><name>Christine Aubry</name><affiliations><json:string>AgroParisTech, INRA, UMR 1048 SAD-APT, Bâtiment EGER, BP 01, 78 850, Thiverval-Grignon, France</json:string></affiliations></json:item><json:item><name>Marc Benoît</name><affiliations><json:string>INRA, UR 055 SAD ASTER, 88500, Mirecourt, France</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Land-use dynamic</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>On-farm survey</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Conceptual model</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Data mining</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Crop succession</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Crop allocation</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Spatiotemporal analysis</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Landscape agronomy</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Landscape patterns</value></json:item></subject><articleId><json:string>9691</json:string><json:string>s10980-011-9691-2</json:string></articleId><arkIstex>ark:/67375/VQC-DXXXVZL8-G</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: Landscape spatial organization (LSO) strongly impacts many environmental issues. Modelling agricultural landscapes and describing meaningful landscape patterns are thus regarded as key-issues for designing sustainable landscapes. Agricultural landscapes are mostly designed by farmers. Their decisions dealing with crop choices and crop allocation to land can be generic and result in landscape regularities, which determine LSO. This paper comes within the emerging discipline called “landscape agronomy”, aiming at studying the organization of farming practices at the landscape scale. We here aim at articulating the farm and the landscape scales for landscape modelling. To do so, we develop an original approach consisting in the combination of two methods used separately so far: the identification of explicit farmer decision rules through on-farm surveys methods and the identification of landscape stochastic regularities through data-mining. We applied this approach to the Niort plain landscape in France. Results show that generic farmer decision rules dealing with sunflower or maize area and location within landscapes are consistent with spatiotemporal regularities identified at the landscape scale. It results in a segmentation of the landscape, based on both its spatial and temporal organization and partly explained by generic farmer decision rules. This consistency between results points out that the two modelling methods aid one another for land-use modelling at landscape scale and for understanding the driving forces of its spatial organization. Despite some remaining challenges, our study in landscape agronomy accounts for both spatial and temporal dimensions of crop allocation: it allows the drawing of new spatial patterns coherent with land-use dynamics at the landscape scale, which improves the links to the scale of ecological processes and therefore contributes to landscape ecology.</abstract><qualityIndicators><refBibsNative>false</refBibsNative><abstractWordCount>274</abstractWordCount><abstractCharCount>1931</abstractCharCount><keywordCount>9</keywordCount><score>10</score><pdfWordCount>7805</pdfWordCount><pdfCharCount>49457</pdfCharCount><pdfVersion>1.4</pdfVersion><pdfPageCount>14</pdfPageCount><pdfPageSize>547.087 x 737.008 pts</pdfPageSize></qualityIndicators><title>Combining farmers’ decision rules and landscape stochastic regularities for landscape modelling</title><genre><json:string>research-article</json:string></genre><host><title>Landscape 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Modelling agricultural landscapes and describing meaningful landscape patterns are thus regarded as key-issues for designing sustainable landscapes. Agricultural landscapes are mostly designed by farmers. Their decisions dealing with crop choices and crop allocation to land can be generic and result in landscape regularities, which determine LSO. This paper comes within the emerging discipline called “landscape agronomy”, aiming at studying the organization of farming practices at the landscape scale. We here aim at articulating the farm and the landscape scales for landscape modelling. To do so, we develop an original approach consisting in the combination of two methods used separately so far: the identification of explicit farmer decision rules through on-farm surveys methods and the identification of landscape stochastic regularities through data-mining. We applied this approach to the Niort plain landscape in France. Results show that generic farmer decision rules dealing with sunflower or maize area and location within landscapes are consistent with spatiotemporal regularities identified at the landscape scale. It results in a segmentation of the landscape, based on both its spatial and temporal organization and partly explained by generic farmer decision rules. This consistency between results points out that the two modelling methods aid one another for land-use modelling at landscape scale and for understanding the driving forces of its spatial organization. Despite some remaining challenges, our study in landscape agronomy accounts for both spatial and temporal dimensions of crop allocation: it allows the drawing of new spatial patterns coherent with land-use dynamics at the landscape scale, which improves the links to the scale of ecological processes and therefore contributes to landscape ecology.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>Land-use dynamic</term></item><item><term>On-farm survey</term></item><item><term>Conceptual model</term></item><item><term>Data mining</term></item><item><term>Crop succession</term></item><item><term>Crop allocation</term></item><item><term>Spatiotemporal analysis</term></item><item><term>Landscape agronomy</term></item><item><term>Landscape patterns</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>Life 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Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ArticleGrants></ArticleInfo><ArticleHeader><AuthorGroup><Author AffiliationIDS="Aff1" CorrespondingAffiliationID="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Noémie</GivenName><FamilyName>Schaller</FamilyName></AuthorName><Contact><Phone>+33-1-30815595</Phone><Fax>+33-1-30815939</Fax><Email>noemie.schaller@agroparistech.fr</Email></Contact></Author><Author AffiliationIDS="Aff2"><AuthorName DisplayOrder="Western"><GivenName>El</GivenName><GivenName>Ghali</GivenName><FamilyName>Lazrak</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Philippe</GivenName><FamilyName>Martin</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff3"><AuthorName DisplayOrder="Western"><GivenName>Jean-François</GivenName><FamilyName>Mari</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Christine</GivenName><FamilyName>Aubry</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff2"><AuthorName DisplayOrder="Western"><GivenName>Marc</GivenName><FamilyName>Benoît</FamilyName></AuthorName></Author><Affiliation ID="Aff1"><OrgName>AgroParisTech, INRA, UMR 1048 SAD-APT, Bâtiment EGER</OrgName><OrgAddress><Postbox>BP 01</Postbox><Postcode>78 850</Postcode><City>Thiverval-Grignon</City><Country Code="FR">France</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgDivision>INRA</OrgDivision><OrgName>UR 055 SAD ASTER</OrgName><OrgAddress><Postcode>88500</Postcode><City>Mirecourt</City><Country Code="FR">France</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>LORIA, UMR CNRS 7503 INRIA-Grand-Est</OrgName><OrgAddress><Postbox>B.P. 239</Postbox><Postcode>54506</Postcode><City>Vandœuvre-lès-Nancy</City><Country Code="FR">France</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En" OutputMedium="All"><Heading>Abstract</Heading><Para>Landscape spatial organization (LSO) strongly impacts many environmental issues. Modelling agricultural landscapes and describing meaningful landscape patterns are thus regarded as key-issues for designing sustainable landscapes. Agricultural landscapes are mostly designed by farmers. Their decisions dealing with crop choices and crop allocation to land can be generic and result in landscape regularities, which determine LSO. This paper comes within the emerging discipline called “landscape agronomy”, aiming at studying the organization of farming practices at the landscape scale. We here aim at articulating the farm and the landscape scales for landscape modelling. To do so, we develop an original approach consisting in the combination of two methods used separately so far: the identification of explicit farmer decision rules through on-farm surveys methods and the identification of landscape stochastic regularities through data-mining. We applied this approach to the Niort plain landscape in France. Results show that generic farmer decision rules dealing with sunflower or maize area and location within landscapes are consistent with spatiotemporal regularities identified at the landscape scale. It results in a segmentation of the landscape, based on both its spatial and temporal organization and partly explained by generic farmer decision rules. This consistency between results points out that the two modelling methods aid one another for land-use modelling at landscape scale and for understanding the driving forces of its spatial organization. Despite some remaining challenges, our study in landscape agronomy accounts for both spatial and temporal dimensions of crop allocation: it allows the drawing of new spatial patterns coherent with land-use dynamics at the landscape scale, which improves the links to the scale of ecological processes and therefore contributes to landscape ecology.</Para></Abstract><KeywordGroup Language="En" OutputMedium="All"><Heading>Keywords</Heading><Keyword>Land-use dynamic</Keyword><Keyword>On-farm survey</Keyword><Keyword>Conceptual model</Keyword><Keyword>Data mining</Keyword><Keyword>Crop succession</Keyword><Keyword>Crop allocation</Keyword><Keyword>Spatiotemporal analysis</Keyword><Keyword>Landscape agronomy</Keyword><Keyword>Landscape patterns</Keyword></KeywordGroup></ArticleHeader><NoBody></NoBody></Article></Issue></Volume></Journal></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Combining farmers’ decision rules and landscape stochastic regularities for landscape modelling</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Combining farmers’ decision rules and landscape stochastic regularities for landscape modelling</title></titleInfo><name type="personal" displayLabel="corresp"><namePart type="given">Noémie</namePart><namePart type="family">Schaller</namePart><affiliation>AgroParisTech, INRA, UMR 1048 SAD-APT, Bâtiment EGER, BP 01, 78 850, Thiverval-Grignon, France</affiliation><affiliation>E-mail: noemie.schaller@agroparistech.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">El</namePart><namePart type="given">Ghali</namePart><namePart type="family">Lazrak</namePart><affiliation>INRA, UR 055 SAD ASTER, 88500, Mirecourt, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Philippe</namePart><namePart type="family">Martin</namePart><affiliation>AgroParisTech, INRA, UMR 1048 SAD-APT, Bâtiment EGER, BP 01, 78 850, Thiverval-Grignon, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jean-François</namePart><namePart type="family">Mari</namePart><affiliation>LORIA, UMR CNRS 7503 INRIA-Grand-Est, B.P. 239, 54506, Vandœuvre-lès-Nancy, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Christine</namePart><namePart type="family">Aubry</namePart><affiliation>AgroParisTech, INRA, UMR 1048 SAD-APT, Bâtiment EGER, BP 01, 78 850, Thiverval-Grignon, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Marc</namePart><namePart type="family">Benoît</namePart><affiliation>INRA, UR 055 SAD ASTER, 88500, Mirecourt, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="OriginalPaper" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-1JC4F85T-7">research-article</genre><originInfo><publisher>Springer Netherlands</publisher><place><placeTerm type="text">Dordrecht</placeTerm></place><dateCreated encoding="w3cdtf">2011-01-07</dateCreated><dateIssued encoding="w3cdtf">2012-03-01</dateIssued><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: Landscape spatial organization (LSO) strongly impacts many environmental issues. Modelling agricultural landscapes and describing meaningful landscape patterns are thus regarded as key-issues for designing sustainable landscapes. Agricultural landscapes are mostly designed by farmers. Their decisions dealing with crop choices and crop allocation to land can be generic and result in landscape regularities, which determine LSO. This paper comes within the emerging discipline called “landscape agronomy”, aiming at studying the organization of farming practices at the landscape scale. We here aim at articulating the farm and the landscape scales for landscape modelling. To do so, we develop an original approach consisting in the combination of two methods used separately so far: the identification of explicit farmer decision rules through on-farm surveys methods and the identification of landscape stochastic regularities through data-mining. We applied this approach to the Niort plain landscape in France. Results show that generic farmer decision rules dealing with sunflower or maize area and location within landscapes are consistent with spatiotemporal regularities identified at the landscape scale. It results in a segmentation of the landscape, based on both its spatial and temporal organization and partly explained by generic farmer decision rules. This consistency between results points out that the two modelling methods aid one another for land-use modelling at landscape scale and for understanding the driving forces of its spatial organization. Despite some remaining challenges, our study in landscape agronomy accounts for both spatial and temporal dimensions of crop allocation: it allows the drawing of new spatial patterns coherent with land-use dynamics at the landscape scale, which improves the links to the scale of ecological processes and therefore contributes to landscape ecology.</abstract><note>Research Article</note><subject lang="en"><genre>Keywords</genre><topic>Land-use dynamic</topic><topic>On-farm survey</topic><topic>Conceptual model</topic><topic>Data mining</topic><topic>Crop succession</topic><topic>Crop allocation</topic><topic>Spatiotemporal analysis</topic><topic>Landscape agronomy</topic><topic>Landscape patterns</topic></subject><relatedItem type="host"><titleInfo><title>Landscape Ecology</title></titleInfo><titleInfo type="abbreviated"><title>Landscape Ecol</title></titleInfo><genre type="journal" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</genre><originInfo><publisher>Springer</publisher><dateIssued encoding="w3cdtf">2012-02-02</dateIssued><copyrightDate encoding="w3cdtf">2012</copyrightDate></originInfo><subject><genre>Life Sciences</genre><topic>Forestry</topic><topic>Ecology</topic><topic>Plant Ecology</topic><topic>Plant Sciences</topic><topic>Forestry Management</topic><topic>Landscape Ecology</topic></subject><identifier type="ISSN">0921-2973</identifier><identifier type="eISSN">1572-9761</identifier><identifier type="JournalID">10980</identifier><identifier type="IssueArticleCount">13</identifier><identifier type="VolumeIssueCount">10</identifier><part><date>2012</date><detail type="volume"><number>27</number><caption>vol.</caption></detail><detail type="issue"><number>3</number><caption>no.</caption></detail><extent unit="pages"><start>433</start><end>446</end></extent></part><recordInfo><recordOrigin>Springer Science+Business Media B.V., 2012</recordOrigin></recordInfo></relatedItem><identifier type="istex">F1B3C95190855DFBA139186D36B8AF715BAE9D1D</identifier><identifier type="ark">ark:/67375/VQC-DXXXVZL8-G</identifier><identifier type="DOI">10.1007/s10980-011-9691-2</identifier><identifier type="ArticleID">9691</identifier><identifier type="ArticleID">s10980-011-9691-2</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer Science+Business Media B.V., 2011</accessCondition><recordInfo><recordContentSource authority="ISTEX" authorityURI="https://loaded-corpus.data.istex.fr" valueURI="https://loaded-corpus.data.istex.fr/ark:/67375/XBH-3XSW68JL-F">springer</recordContentSource><recordOrigin>Springer Science+Business Media B.V., 2011</recordOrigin></recordInfo></mods><json:item><extension>json</extension><original>false</original><mimetype>application/json</mimetype><uri>https://api.istex.fr/ark:/67375/VQC-DXXXVZL8-G/record.json</uri></json:item></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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