Landscape regularity modelling for environmental challenges in agriculture
Identifieur interne : 000792 ( PascalFrancis/Curation ); précédent : 000791; suivant : 000793Landscape regularity modelling for environmental challenges in agriculture
Auteurs : EL GHALI LAZRAK [France] ; Jean-François Mari [France] ; Marc Benoit [France]Source :
- Landscape ecology [ 0921-2973 ] ; 2010.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
In agricultural landscapes, methods to identify and describe meaningful landscape patterns play an important role to understand the interaction between landscape organization and ecological processes. We propose an innovative stochastic modelling method of agricultural landscape organization where the temporal regularities in land-use are first identified through recognized Land-Use Successions before locating these successions in landscapes. These time-space regularities within landscapes are extracted using a new data mining method based on Hidden Markov Models. We applied this methodological proposal to the Niort Plain (West of France). We built a temporo-spatial analysis for this case study through spatially explicit analysis of Land-Use Succession dynamics. Implications and perspectives of such an approach, which links together the temporal and the spatial dimensions of the agricultural organization, are discussed by assessing the relationship between the agricultural landscape patterns defined using this approach and ecological data through an illustrative example of bird nests.
pA |
|
---|
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000226
Links to Exploration step
Pascal:10-0161141Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Landscape regularity modelling for environmental challenges in agriculture</title>
<author><name sortKey="El Ghali Lazrak" sort="El Ghali Lazrak" uniqKey="El Ghali Lazrak" last="El Ghali Lazrak">EL GHALI LAZRAK</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>INRA, UR 055 SAD ASTER</s1>
<s2>88500 Mirecourt</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Mari, Jean Francois" sort="Mari, Jean Francois" uniqKey="Mari J" first="Jean-François" last="Mari">Jean-François Mari</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>UMR 7503 LORIA, U. Nancy 2</s1>
<s2>54506 Vandœuvre-lès-Nancy</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Benoit, Marc" sort="Benoit, Marc" uniqKey="Benoit M" first="Marc" last="Benoit">Marc Benoit</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>INRA, UR 055 SAD ASTER</s1>
<s2>88500 Mirecourt</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">10-0161141</idno>
<date when="2010">2010</date>
<idno type="stanalyst">PASCAL 10-0161141 INIST</idno>
<idno type="RBID">Pascal:10-0161141</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000226</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000792</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Landscape regularity modelling for environmental challenges in agriculture</title>
<author><name sortKey="El Ghali Lazrak" sort="El Ghali Lazrak" uniqKey="El Ghali Lazrak" last="El Ghali Lazrak">EL GHALI LAZRAK</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>INRA, UR 055 SAD ASTER</s1>
<s2>88500 Mirecourt</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Mari, Jean Francois" sort="Mari, Jean Francois" uniqKey="Mari J" first="Jean-François" last="Mari">Jean-François Mari</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>UMR 7503 LORIA, U. Nancy 2</s1>
<s2>54506 Vandœuvre-lès-Nancy</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Benoit, Marc" sort="Benoit, Marc" uniqKey="Benoit M" first="Marc" last="Benoit">Marc Benoit</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>INRA, UR 055 SAD ASTER</s1>
<s2>88500 Mirecourt</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Landscape ecology</title>
<title level="j" type="abbreviated">Landsc. ecol.</title>
<idno type="ISSN">0921-2973</idno>
<imprint><date when="2010">2010</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Landscape ecology</title>
<title level="j" type="abbreviated">Landsc. ecol.</title>
<idno type="ISSN">0921-2973</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture</term>
<term>Charente France</term>
<term>Cropping system</term>
<term>Data mining</term>
<term>Environment</term>
<term>Land use</term>
<term>Landscape</term>
<term>Landscape ecology</term>
<term>Modeling</term>
<term>Models</term>
<term>Poitou Charentes</term>
<term>Spatial analysis</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Paysage</term>
<term>Modélisation</term>
<term>Environnement</term>
<term>Agriculture</term>
<term>Système culture</term>
<term>Occupation sol</term>
<term>Analyse spatiale</term>
<term>Fouille donnée</term>
<term>Modèle</term>
<term>Poitou Charentes</term>
<term>Ecologie paysage</term>
<term>Charente</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">In agricultural landscapes, methods to identify and describe meaningful landscape patterns play an important role to understand the interaction between landscape organization and ecological processes. We propose an innovative stochastic modelling method of agricultural landscape organization where the temporal regularities in land-use are first identified through recognized Land-Use Successions before locating these successions in landscapes. These time-space regularities within landscapes are extracted using a new data mining method based on Hidden Markov Models. We applied this methodological proposal to the Niort Plain (West of France). We built a temporo-spatial analysis for this case study through spatially explicit analysis of Land-Use Succession dynamics. Implications and perspectives of such an approach, which links together the temporal and the spatial dimensions of the agricultural organization, are discussed by assessing the relationship between the agricultural landscape patterns defined using this approach and ecological data through an illustrative example of bird nests.</div>
</front>
</TEI>
<inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0921-2973</s0>
</fA01>
<fA03 i2="1"><s0>Landsc. ecol.</s0>
</fA03>
<fA05><s2>25</s2>
</fA05>
<fA06><s2>2</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>Landscape regularity modelling for environmental challenges in agriculture</s1>
</fA08>
<fA09 i1="01" i2="1" l="ENG"><s1>Monitoring and Modelling Landscape Dynamics</s1>
</fA09>
<fA11 i1="01" i2="1"><s1>EL GHALI LAZRAK</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>MARI (Jean-François)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>BENOIT (Marc)</s1>
</fA11>
<fA12 i1="01" i2="1"><s1>HOUET (Thomas)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="02" i2="1"><s1>VERBURG (Peter H.)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="03" i2="1"><s1>LOVELAND (Thomas R.)</s1>
<s9>ed.</s9>
</fA12>
<fA14 i1="01"><s1>INRA, UR 055 SAD ASTER</s1>
<s2>88500 Mirecourt</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>UMR 7503 LORIA, U. Nancy 2</s1>
<s2>54506 Vandœuvre-lès-Nancy</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA15 i1="01"><s1>GEODE, UMR CNRS 5602, Université Toulouse 2, 5 allée Antonio Machado</s1>
<s2>31058 Toulouse</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
</fA15>
<fA15 i1="02"><s1>Lanad Dynamics Group, Wageningen University, PO Box 47</s1>
<s2>6700 AA Wageningen</s2>
<s3>NLD</s3>
<sZ>2 aut.</sZ>
</fA15>
<fA15 i1="03"><s1>U.S. Geological Survey Earth Resources Observation and Science (EROS) Center, 47914 252nd Street</s1>
<s2>Sioux Falls, SD 57198-0001</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
</fA15>
<fA20><s1>169-183</s1>
</fA20>
<fA21><s1>2010</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>26279</s2>
<s5>354000181446500010</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2010 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>1 p.1/4</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>10-0161141</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Landscape ecology</s0>
</fA64>
<fA66 i1="01"><s0>NLD</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>In agricultural landscapes, methods to identify and describe meaningful landscape patterns play an important role to understand the interaction between landscape organization and ecological processes. We propose an innovative stochastic modelling method of agricultural landscape organization where the temporal regularities in land-use are first identified through recognized Land-Use Successions before locating these successions in landscapes. These time-space regularities within landscapes are extracted using a new data mining method based on Hidden Markov Models. We applied this methodological proposal to the Niort Plain (West of France). We built a temporo-spatial analysis for this case study through spatially explicit analysis of Land-Use Succession dynamics. Implications and perspectives of such an approach, which links together the temporal and the spatial dimensions of the agricultural organization, are discussed by assessing the relationship between the agricultural landscape patterns defined using this approach and ecological data through an illustrative example of bird nests.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002A14D01</s0>
</fC02>
<fC02 i1="02" i2="X"><s0>002A14A02</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Paysage</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Landscape</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Paisaje</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Modélisation</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Modeling</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Modelización</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Environnement</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Environment</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Medio ambiente</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Agriculture</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Agriculture</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Agricultura</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Système culture</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Cropping system</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Sistema cultural</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Occupation sol</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Land use</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Ocupación terreno</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Analyse spatiale</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Spatial analysis</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Análisis espacial</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Fouille donnée</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Data mining</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Busca dato</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Modèle</s0>
<s5>10</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Models</s0>
<s5>10</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Modelo</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Poitou Charentes</s0>
<s2>NG</s2>
<s5>11</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Poitou Charentes</s0>
<s2>NG</s2>
<s5>11</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Poitou Charentes</s0>
<s2>NG</s2>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Ecologie paysage</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Landscape ecology</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Ecología del paisaje</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Charente</s0>
<s4>CD</s4>
<s5>98</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Charente France</s0>
<s4>CD</s4>
<s5>98</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Charente</s0>
<s4>CD</s4>
<s5>98</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>France</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>France</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Francia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Europe</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Europe</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Europa</s0>
<s2>NG</s2>
</fC07>
<fN21><s1>102</s1>
</fN21>
</pA>
</standard>
</inist>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/PascalFrancis/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000792 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Curation/biblio.hfd -nk 000792 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Lorraine |area= InforLorV4 |flux= PascalFrancis |étape= Curation |type= RBID |clé= Pascal:10-0161141 |texte= Landscape regularity modelling for environmental challenges in agriculture }}
![]() | This area was generated with Dilib version V0.6.33. | ![]() |