GEO_BUG: a geographical modelling environment for assessing the likelihood of pest development
Identifieur interne : 000463 ( Istex/Corpus ); précédent : 000462; suivant : 000464GEO_BUG: a geographical modelling environment for assessing the likelihood of pest development
Auteurs : Claire H. JarvisSource :
- Environmental Modelling and Software [ 1364-8152 ] ; 2001.
Abstract
This paper describes software designed to explore pest phenology (development) over space and time. The framework presented links sequences of interpolated daily maximum and minimum temperatures with a variety of process-based phenology and accumulated temperature models. The flexibility offered by this approach is demonstrated using examples of gridded maps of pest phenology on target dates, graphs of the sequences of pest development at individual locations and assessments of error in the predicted dates over the course of a model run. Finally, the potential application of the software in support of agricultural management systems, policy development and integrated research is discussed.
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DOI: 10.1016/S1364-8152(01)00040-8
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Jarvis</name><affiliation><mods:affiliation>Department of Geography, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, Scotland, UK</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: chj@geo.ed.ac.uk</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:7104ED473A71C622509789549C48F22C76F65AEE</idno><date when="2001" year="2001">2001</date><idno type="doi">10.1016/S1364-8152(01)00040-8</idno><idno type="url">https://api.istex.fr/document/7104ED473A71C622509789549C48F22C76F65AEE/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000463</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000463</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">GEO_BUG: a geographical modelling environment for assessing the likelihood of pest development</title><author><name sortKey="Jarvis, Claire H" sort="Jarvis, Claire H" uniqKey="Jarvis C" first="Claire H" last="Jarvis">Claire H. Jarvis</name><affiliation><mods:affiliation>Department of Geography, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, Scotland, UK</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: chj@geo.ed.ac.uk</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Environmental Modelling and Software</title><title level="j" type="abbrev">ENSO</title><idno type="ISSN">1364-8152</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2001">2001</date><biblScope unit="volume">16</biblScope><biblScope unit="issue">8</biblScope><biblScope unit="page" from="753">753</biblScope><biblScope unit="page" to="765">765</biblScope></imprint><idno type="ISSN">1364-8152</idno></series><idno type="istex">7104ED473A71C622509789549C48F22C76F65AEE</idno><idno type="DOI">10.1016/S1364-8152(01)00040-8</idno><idno type="PII">S1364-8152(01)00040-8</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1364-8152</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper describes software designed to explore pest phenology (development) over space and time. The framework presented links sequences of interpolated daily maximum and minimum temperatures with a variety of process-based phenology and accumulated temperature models. The flexibility offered by this approach is demonstrated using examples of gridded maps of pest phenology on target dates, graphs of the sequences of pest development at individual locations and assessments of error in the predicted dates over the course of a model run. Finally, the potential application of the software in support of agricultural management systems, policy development and integrated research is discussed.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Claire H Jarvis</name><affiliations><json:string>Department of Geography, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, Scotland, UK</json:string><json:string>E-mail: chj@geo.ed.ac.uk</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Interpolation</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Daily temperatures</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Geographical information systems (GIS)</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Pest phenology</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>This paper describes software designed to explore pest phenology (development) over space and time. The framework presented links sequences of interpolated daily maximum and minimum temperatures with a variety of process-based phenology and accumulated temperature models. The flexibility offered by this approach is demonstrated using examples of gridded maps of pest phenology on target dates, graphs of the sequences of pest development at individual locations and assessments of error in the predicted dates over the course of a model run. Finally, the potential application of the software in support of agricultural management systems, policy development and integrated research is discussed.</abstract><qualityIndicators><score>6.2</score><pdfVersion>1.2</pdfVersion><pdfPageSize>598 x 795 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>4</keywordCount><abstractCharCount>698</abstractCharCount><pdfWordCount>6955</pdfWordCount><pdfCharCount>44941</pdfCharCount><pdfPageCount>13</pdfPageCount><abstractWordCount>100</abstractWordCount></qualityIndicators><title>GEO_BUG: a geographical modelling environment for assessing the likelihood of pest development</title><pii><json:string>S1364-8152(01)00040-8</json:string></pii><genre><json:string>research-article</json:string></genre><serie><editor><json:item><name>R.F. Froud-Williams</name></json:item><json:item><name>R. Harrington</name></json:item><json:item><name>T.J. Hocking</name></json:item><json:item><name>H.G. Smith</name></json:item><json:item><name>T.H. Thomas</name></json:item></editor><pages><last>330</last><first>323</first></pages><language><json:string>unknown</json:string></language><title>Implications of “Global Environmental Change” for crops in Europe</title></serie><host><volume>16</volume><pii><json:string>S1364-8152(00)X0027-8</json:string></pii><pages><last>765</last><first>753</first></pages><issn><json:string>1364-8152</json:string></issn><issue>8</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Environmental Modelling and Software</title><publicationDate>2001</publicationDate></host><categories><wos><json:string>science</json:string><json:string>environmental sciences</json:string><json:string>engineering, environmental</json:string><json:string>computer science, interdisciplinary applications</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>engineering</json:string><json:string>environmental engineering</json:string></scienceMetrix></categories><publicationDate>2001</publicationDate><copyrightDate>2001</copyrightDate><doi><json:string>10.1016/S1364-8152(01)00040-8</json:string></doi><id>7104ED473A71C622509789549C48F22C76F65AEE</id><score>0.042138647</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/7104ED473A71C622509789549C48F22C76F65AEE/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/7104ED473A71C622509789549C48F22C76F65AEE/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/7104ED473A71C622509789549C48F22C76F65AEE/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">GEO_BUG: a geographical modelling environment for assessing the likelihood of pest development</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©2001 Elsevier Science Ltd</p></availability><date>2001</date></publicationStmt><notesStmt><note type="content">Fig. 1: Relationship of GIS and dedicated modelling software.</note><note type="content">Fig. 2: Software components and attribution.</note><note type="content">Fig. 3: UKMO algorithm for computing accumulated temperature sum (ACC_SUM) using recorded daily maxima (maxn) and minima (minn) over temperature base (After Anonymous, 1969).</note><note type="content">Fig. 4: The three main structures of phenology models in common use: (a) linear (e.g. Anonymous, 1969), (b) multi-linear by stage, (e.g. Baker and Cohen, 1985; Welch et al., 1978) and (c) non-linear (e.g. logistic) by stage.</note><note type="content">Fig. 5: Flow of spatial data.</note><note type="content">Fig. 6: Program components and flow of data and control in the spatial phenological modelling system (GEO_BUG).</note><note type="content">Fig. 7: Accumulated temperatures (base 8.5°C) over England and Wales, (a) 1976 and (b) 1986.</note><note type="content">Fig. 8: Potential development of Colorado beetle in Yorkshire. (a) Distribution of potato crop (1994); (b) elevation, Vale of York; (c) estimated life-cycle development of young adults, larvae and mature adults throughout the year 1976 for Colorado beetle at upland (2) and lowland (1) sites marked within (a).</note><note type="content">Fig. 9: (a) Estimated Julian dates for 50% emergence of Colorado beetle for mature adults; (b)–(d) estimated percentage emergence of larval stage, Colorado beetle, Vale of York, 28–30 June 1976.</note><note type="content">Fig. 10: National estimate of cross validated error, Colorado beetle 1976: (a) 50% emergence adult stage; (b) 50% emergence egg stage.</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">GEO_BUG: a geographical modelling environment for assessing the likelihood of pest development</title><author xml:id="author-1"><persName><forename type="first">Claire H</forename><surname>Jarvis</surname></persName><email>chj@geo.ed.ac.uk</email><note type="biography">Tel: +44-131-650-2662; fax: +44-131-650-2524</note><affiliation>Tel: +44-131-650-2662; fax: +44-131-650-2524</affiliation><affiliation>Department of Geography, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, Scotland, UK</affiliation></author></analytic><monogr><title level="j">Environmental Modelling and Software</title><title level="j" type="abbrev">ENSO</title><idno type="pISSN">1364-8152</idno><idno type="PII">S1364-8152(00)X0027-8</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2001"></date><biblScope unit="volume">16</biblScope><biblScope unit="issue">8</biblScope><biblScope unit="page" from="753">753</biblScope><biblScope unit="page" to="765">765</biblScope></imprint></monogr><idno type="istex">7104ED473A71C622509789549C48F22C76F65AEE</idno><idno type="DOI">10.1016/S1364-8152(01)00040-8</idno><idno type="PII">S1364-8152(01)00040-8</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2001</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>This paper describes software designed to explore pest phenology (development) over space and time. The framework presented links sequences of interpolated daily maximum and minimum temperatures with a variety of process-based phenology and accumulated temperature models. The flexibility offered by this approach is demonstrated using examples of gridded maps of pest phenology on target dates, graphs of the sequences of pest development at individual locations and assessments of error in the predicted dates over the course of a model run. Finally, the potential application of the software in support of agricultural management systems, policy development and integrated research is discussed.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>Interpolation</term></item><item><term>Daily temperatures</term></item><item><term>Geographical information systems (GIS)</term></item><item><term>Pest phenology</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2001-01-23">Modified</change><change when="2001">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/7104ED473A71C622509789549C48F22C76F65AEE/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="gr10" NDATA="IMAGE" name="gr10"></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:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>ENSO</jid><aid>1196</aid><ce:pii>S1364-8152(01)00040-8</ce:pii><ce:doi>10.1016/S1364-8152(01)00040-8</ce:doi><ce:copyright type="full-transfer" year="2001">Elsevier Science Ltd</ce:copyright></item-info><head><ce:title>GEO_BUG: a geographical modelling environment for assessing the likelihood of pest development</ce:title><ce:author-group><ce:author><ce:given-name>Claire H</ce:given-name><ce:surname>Jarvis</ce:surname><ce:cross-ref refid="CORR1">*</ce:cross-ref><ce:e-address>chj@geo.ed.ac.uk</ce:e-address></ce:author><ce:affiliation><ce:textfn>Department of Geography, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, Scotland, UK</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Tel: +44-131-650-2662; fax: +44-131-650-2524</ce:text></ce:correspondence></ce:author-group><ce:date-received day="14" month="8" year="2000"></ce:date-received><ce:date-revised day="23" month="1" year="2001"></ce:date-revised><ce:date-accepted day="30" month="3" year="2001"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>This paper describes software designed to explore pest phenology (development) over space and time. The framework presented links sequences of interpolated daily maximum and minimum temperatures with a variety of process-based phenology and accumulated temperature models. The flexibility offered by this approach is demonstrated using examples of gridded maps of pest phenology on target dates, graphs of the sequences of pest development at individual locations and assessments of error in the predicted dates over the course of a model run. Finally, the potential application of the software in support of agricultural management systems, policy development and integrated research is discussed.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Interpolation</ce:text></ce:keyword><ce:keyword><ce:text>Daily temperatures</ce:text></ce:keyword><ce:keyword><ce:text>Geographical information systems (GIS)</ce:text></ce:keyword><ce:keyword><ce:text>Pest phenology</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>GEO_BUG: a geographical modelling environment for assessing the likelihood of pest development</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>GEO_BUG: a geographical modelling environment for assessing the likelihood of pest development</title></titleInfo><name type="personal"><namePart type="given">Claire H</namePart><namePart type="family">Jarvis</namePart><affiliation>Department of Geography, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, Scotland, UK</affiliation><affiliation>E-mail: chj@geo.ed.ac.uk</affiliation><description>Tel: +44-131-650-2662; fax: +44-131-650-2524</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">2001</dateIssued><dateModified encoding="w3cdtf">2001-01-23</dateModified><copyrightDate encoding="w3cdtf">2001</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 describes software designed to explore pest phenology (development) over space and time. The framework presented links sequences of interpolated daily maximum and minimum temperatures with a variety of process-based phenology and accumulated temperature models. The flexibility offered by this approach is demonstrated using examples of gridded maps of pest phenology on target dates, graphs of the sequences of pest development at individual locations and assessments of error in the predicted dates over the course of a model run. Finally, the potential application of the software in support of agricultural management systems, policy development and integrated research is discussed.</abstract><note type="content">Fig. 1: Relationship of GIS and dedicated modelling software.</note><note type="content">Fig. 2: Software components and attribution.</note><note type="content">Fig. 3: UKMO algorithm for computing accumulated temperature sum (ACC_SUM) using recorded daily maxima (maxn) and minima (minn) over temperature base (After Anonymous, 1969).</note><note type="content">Fig. 4: The three main structures of phenology models in common use: (a) linear (e.g. Anonymous, 1969), (b) multi-linear by stage, (e.g. Baker and Cohen, 1985; Welch et al., 1978) and (c) non-linear (e.g. logistic) by stage.</note><note type="content">Fig. 5: Flow of spatial data.</note><note type="content">Fig. 6: Program components and flow of data and control in the spatial phenological modelling system (GEO_BUG).</note><note type="content">Fig. 7: Accumulated temperatures (base 8.5°C) over England and Wales, (a) 1976 and (b) 1986.</note><note type="content">Fig. 8: Potential development of Colorado beetle in Yorkshire. (a) Distribution of potato crop (1994); (b) elevation, Vale of York; (c) estimated life-cycle development of young adults, larvae and mature adults throughout the year 1976 for Colorado beetle at upland (2) and lowland (1) sites marked within (a).</note><note type="content">Fig. 9: (a) Estimated Julian dates for 50% emergence of Colorado beetle for mature adults; (b)–(d) estimated percentage emergence of larval stage, Colorado beetle, Vale of York, 28–30 June 1976.</note><note type="content">Fig. 10: National estimate of cross validated error, Colorado beetle 1976: (a) 50% emergence adult stage; (b) 50% emergence egg stage.</note><subject><genre>Keywords</genre><topic>Interpolation</topic><topic>Daily temperatures</topic><topic>Geographical information systems (GIS)</topic><topic>Pest phenology</topic></subject><relatedItem type="host"><titleInfo><title>Environmental Modelling and Software</title></titleInfo><titleInfo type="abbreviated"><title>ENSO</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">200112</dateIssued></originInfo><identifier type="ISSN">1364-8152</identifier><identifier type="PII">S1364-8152(00)X0027-8</identifier><part><date>200112</date><detail type="volume"><number>16</number><caption>vol.</caption></detail><detail type="issue"><number>8</number><caption>no.</caption></detail><extent unit="issue pages"><start>669</start><end>765</end></extent><extent unit="pages"><start>753</start><end>765</end></extent></part></relatedItem><identifier type="istex">7104ED473A71C622509789549C48F22C76F65AEE</identifier><identifier type="DOI">10.1016/S1364-8152(01)00040-8</identifier><identifier type="PII">S1364-8152(01)00040-8</identifier><accessCondition type="use and reproduction" contentType="copyright">©2001 Elsevier Science Ltd</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science Ltd, ©2001</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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