Testing of a GIS model of Eucalyptus Iargiflorens health on a semiarid, saline floodplain
Identifieur interne : 000E60 ( Istex/Corpus ); précédent : 000E59; suivant : 000E61Testing of a GIS model of Eucalyptus Iargiflorens health on a semiarid, saline floodplain
Auteurs : Peter J. Taylor ; Glen R. Walker ; Geoff Hodgson ; Thomas J. Hatton ; Ray L. CorrellSource :
- Environmental Management [ 0364-152X ] ; 1996-07-01.
Abstract
Abstract: Irrigated agriculture has resulted in substantial changes in water flows to the lower reaches of the River Murray. These changes have led to large-scale occurrences of dieback inEucalyptus largiflorens (black box) woodlands as well as increased inputs of salt to the river. Management options to address problems of this scale call for the use of spatial data sets via geographic information systems (GIS). A GIS exists for one floodplain of the River Murray at Chowilla, and a simple model predicted six health classes ofEucalyptus largiflorens based on groundwater salinity, flooding frequency, and groundwater depth. To determine the usefulness of the model for vegetation management, the quality of both the model and the GIS data sets were tested. Success of the testing procedure was judged by the degree of spatial matching between the model's predictions of health and that assessed from aerial photographs and by field truthing. Analyses at 80 sites showed that tree health was significantly greater where groundwater salinity was less than 40 dS/m or flooding occurred more frequently than 1 in 10 years or depth to groundwater exceeded 4 m. Testing of the GIS data sets found that vegetation was misclassified at 15% of sites. Association was shown between GIS-predicted values and field-truthed values of groundwater salinity but not groundwater depth. The GIS model of health is a useful starting point for future vegetation management and can be further improved by increasing the quality of the data coverages and further refining of the model to optimize parameters and thresholds.
Url:
DOI: 10.1007/BF01474655
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ISTEX:9FDDC92D0A4A1108B13226360FC84BC1E19217C2Le document en format XML
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Taylor</name><affiliation><mods:affiliation>CSIRO Division of Water Resources, PMB 2, 5064, Glen Osmond, SA, Australia</mods:affiliation></affiliation></author><author><name sortKey="Walker, Glen R" sort="Walker, Glen R" uniqKey="Walker G" first="Glen R." last="Walker">Glen R. Walker</name><affiliation><mods:affiliation>CSIRO Division of Water Resources, PMB 2, 5064, Glen Osmond, SA, Australia</mods:affiliation></affiliation></author><author><name sortKey="Hodgson, Geoff" sort="Hodgson, Geoff" uniqKey="Hodgson G" first="Geoff" last="Hodgson">Geoff Hodgson</name><affiliation><mods:affiliation>CSIRO Division of Water Resources, GPO Box 1666, 2601, Canberra, ACT, Australia</mods:affiliation></affiliation></author><author><name sortKey="Hatton, Thomas J" sort="Hatton, Thomas J" uniqKey="Hatton T" first="Thomas J." last="Hatton">Thomas J. 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These changes have led to large-scale occurrences of dieback inEucalyptus largiflorens (black box) woodlands as well as increased inputs of salt to the river. Management options to address problems of this scale call for the use of spatial data sets via geographic information systems (GIS). A GIS exists for one floodplain of the River Murray at Chowilla, and a simple model predicted six health classes ofEucalyptus largiflorens based on groundwater salinity, flooding frequency, and groundwater depth. To determine the usefulness of the model for vegetation management, the quality of both the model and the GIS data sets were tested. Success of the testing procedure was judged by the degree of spatial matching between the model's predictions of health and that assessed from aerial photographs and by field truthing. Analyses at 80 sites showed that tree health was significantly greater where groundwater salinity was less than 40 dS/m or flooding occurred more frequently than 1 in 10 years or depth to groundwater exceeded 4 m. Testing of the GIS data sets found that vegetation was misclassified at 15% of sites. Association was shown between GIS-predicted values and field-truthed values of groundwater salinity but not groundwater depth. The GIS model of health is a useful starting point for future vegetation management and can be further improved by increasing the quality of the data coverages and further refining of the model to optimize parameters and thresholds.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Peter J. Taylor</name><affiliations><json:string>CSIRO Division of Water Resources, PMB 2, 5064, Glen Osmond, SA, Australia</json:string></affiliations></json:item><json:item><name>Glen R. Walker</name><affiliations><json:string>CSIRO Division of Water Resources, PMB 2, 5064, Glen Osmond, SA, Australia</json:string></affiliations></json:item><json:item><name>Geoff Hodgson</name><affiliations><json:string>CSIRO Division of Water Resources, GPO Box 1666, 2601, Canberra, ACT, Australia</json:string></affiliations></json:item><json:item><name>Thomas J. Hatton</name><affiliations><json:string>CSIRO Division of Water Resources, GPO Box 1666, 2601, Canberra, ACT, Australia</json:string></affiliations></json:item><json:item><name>Ray L. 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A GIS exists for one floodplain of the River Murray at Chowilla, and a simple model predicted six health classes ofEucalyptus largiflorens based on groundwater salinity, flooding frequency, and groundwater depth. To determine the usefulness of the model for vegetation management, the quality of both the model and the GIS data sets were tested. Success of the testing procedure was judged by the degree of spatial matching between the model's predictions of health and that assessed from aerial photographs and by field truthing. Analyses at 80 sites showed that tree health was significantly greater where groundwater salinity was less than 40 dS/m or flooding occurred more frequently than 1 in 10 years or depth to groundwater exceeded 4 m. Testing of the GIS data sets found that vegetation was misclassified at 15% of sites. Association was shown between GIS-predicted values and field-truthed values of groundwater salinity but not groundwater depth. 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xml:id="author-2"><persName><forename type="first">Glen</forename><surname>Walker</surname></persName><affiliation>CSIRO Division of Water Resources, PMB 2, 5064, Glen Osmond, SA, Australia</affiliation></author><author xml:id="author-3"><persName><forename type="first">Geoff</forename><surname>Hodgson</surname></persName><affiliation>CSIRO Division of Water Resources, GPO Box 1666, 2601, Canberra, ACT, Australia</affiliation></author><author xml:id="author-4"><persName><forename type="first">Thomas</forename><surname>Hatton</surname></persName><affiliation>CSIRO Division of Water Resources, GPO Box 1666, 2601, Canberra, ACT, Australia</affiliation></author><author xml:id="author-5"><persName><forename type="first">Ray</forename><surname>Correll</surname></persName><affiliation>Biometrics Unit, CSIRO Institute of Natural Resources & Environment, PMB 2, 5064, Glen Osmond, SA, Australia</affiliation></author></analytic><monogr><title level="j">Environmental Management</title><title 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ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: Irrigated agriculture has resulted in substantial changes in water flows to the lower reaches of the River Murray. These changes have led to large-scale occurrences of dieback inEucalyptus largiflorens (black box) woodlands as well as increased inputs of salt to the river. Management options to address problems of this scale call for the use of spatial data sets via geographic information systems (GIS). A GIS exists for one floodplain of the River Murray at Chowilla, and a simple model predicted six health classes ofEucalyptus largiflorens based on groundwater salinity, flooding frequency, and groundwater depth. To determine the usefulness of the model for vegetation management, the quality of both the model and the GIS data sets were tested. Success of the testing procedure was judged by the degree of spatial matching between the model's predictions of health and that assessed from aerial photographs and by field truthing. Analyses at 80 sites showed that tree health was significantly greater where groundwater salinity was less than 40 dS/m or flooding occurred more frequently than 1 in 10 years or depth to groundwater exceeded 4 m. Testing of the GIS data sets found that vegetation was misclassified at 15% of sites. Association was shown between GIS-predicted values and field-truthed values of groundwater salinity but not groundwater depth. The GIS model of health is a useful starting point for future vegetation management and can be further improved by increasing the quality of the data coverages and further refining of the model to optimize parameters and thresholds.</p></abstract><textClass><keywords scheme="Journal Subject"><list><head>Environment</head><item><term>Ecology</term></item><item><term>Atmospheric Protection/Air Quality Control/Air Pollution</term></item><item><term>Environmental Management</term></item><item><term>Soil Science & Conservation</term></item><item><term>Waste Management/Waste Technology</term></item><item><term>Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1996-07-01">Published</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2016-11-22">References added</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2017-01-20">References 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CorrespondingAffiliationID="Aff1" PresentAffiliationID="Aff2"><AuthorName DisplayOrder="Western"><GivenName>Peter</GivenName><GivenName>J.</GivenName><FamilyName>Taylor</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Glen</GivenName><GivenName>R.</GivenName><FamilyName>Walker</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff3"><AuthorName DisplayOrder="Western"><GivenName>Geoff</GivenName><FamilyName>Hodgson</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff3"><AuthorName DisplayOrder="Western"><GivenName>Thomas</GivenName><GivenName>J.</GivenName><FamilyName>Hatton</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff4"><AuthorName DisplayOrder="Western"><GivenName>Ray</GivenName><GivenName>L.</GivenName><FamilyName>Correll</FamilyName></AuthorName></Author><Affiliation ID="Aff1"><OrgName>CSIRO Division of Water Resources</OrgName><OrgAddress><Postbox>PMB 2</Postbox><Postcode>5064</Postcode><City>Glen Osmond</City><State>SA</State><Country>Australia</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>CSIRO Division of Water Resources</OrgName><OrgAddress><Postbox>GPO Box 1666</Postbox><Postcode>2601</Postcode><City>Canberra</City><State>ACT</State><Country>Australia</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgDivision>Biometrics Unit</OrgDivision><OrgName>CSIRO Institute of Natural Resources & Environment</OrgName><OrgAddress><Postbox>PMB 2</Postbox><Postcode>5064</Postcode><City>Glen Osmond</City><State>SA</State><Country>Australia</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgDivision>Department of Agronomy & Farming Systems</OrgDivision><OrgName>University of Adelaide</OrgName><OrgAddress><Postcode>5371</Postcode><City>Roseworthy</City><State>South Australia</State><Country>Australia</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Irrigated agriculture has resulted in substantial changes in water flows to the lower reaches of the River Murray. These changes have led to large-scale occurrences of dieback in<Emphasis Type="Italic">Eucalyptus largiflorens</Emphasis> (black box) woodlands as well as increased inputs of salt to the river. Management options to address problems of this scale call for the use of spatial data sets via geographic information systems (GIS). A GIS exists for one floodplain of the River Murray at Chowilla, and a simple model predicted six health classes of<Emphasis Type="Italic">Eucalyptus largiflorens</Emphasis> based on groundwater salinity, flooding frequency, and groundwater depth.</Para><Para>To determine the usefulness of the model for vegetation management, the quality of both the model and the GIS data sets were tested. Success of the testing procedure was judged by the degree of spatial matching between the model's predictions of health and that assessed from aerial photographs and by field truthing. Analyses at 80 sites showed that tree health was significantly greater where groundwater salinity was less than 40 dS/m or flooding occurred more frequently than 1 in 10 years or depth to groundwater exceeded 4 m. Testing of the GIS data sets found that vegetation was misclassified at 15% of sites. Association was shown between GIS-predicted values and field-truthed values of groundwater salinity but not groundwater depth. The GIS model of health is a useful starting point for future vegetation management and can be further improved by increasing the quality of the data coverages and further refining of the model to optimize parameters and thresholds.</Para></Abstract><KeywordGroup Language="En"><Heading>Key words</Heading><Keyword>Geographic information systems</Keyword><Keyword>Model validation</Keyword><Keyword>Floodplain vegetation</Keyword><Keyword>Vegetation health</Keyword></KeywordGroup></ArticleHeader><NoBody></NoBody></Article></Issue></Volume></Journal></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Testing of a GIS model of Eucalyptus Iargiflorens health on a semiarid, saline floodplain</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Testing of a GIS model ofEucalyptus Iargiflorens health on a semiarid, saline floodplain</title></titleInfo><name type="personal" displayLabel="corresp"><namePart type="given">Peter</namePart><namePart type="given">J.</namePart><namePart type="family">Taylor</namePart><affiliation>CSIRO Division of Water Resources, PMB 2, 5064, Glen Osmond, SA, Australia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Glen</namePart><namePart type="given">R.</namePart><namePart type="family">Walker</namePart><affiliation>CSIRO Division of Water Resources, PMB 2, 5064, Glen Osmond, SA, Australia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Geoff</namePart><namePart type="family">Hodgson</namePart><affiliation>CSIRO Division of Water Resources, GPO Box 1666, 2601, Canberra, ACT, Australia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Thomas</namePart><namePart type="given">J.</namePart><namePart type="family">Hatton</namePart><affiliation>CSIRO Division of Water Resources, GPO Box 1666, 2601, Canberra, ACT, Australia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ray</namePart><namePart type="given">L.</namePart><namePart type="family">Correll</namePart><affiliation>Biometrics Unit, CSIRO Institute of Natural Resources & Environment, PMB 2, 5064, Glen Osmond, SA, Australia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer-Verlag</publisher><place><placeTerm type="text">New York</placeTerm></place><dateIssued encoding="w3cdtf">1996-07-01</dateIssued><copyrightDate encoding="w3cdtf">1996</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: Irrigated agriculture has resulted in substantial changes in water flows to the lower reaches of the River Murray. These changes have led to large-scale occurrences of dieback inEucalyptus largiflorens (black box) woodlands as well as increased inputs of salt to the river. Management options to address problems of this scale call for the use of spatial data sets via geographic information systems (GIS). A GIS exists for one floodplain of the River Murray at Chowilla, and a simple model predicted six health classes ofEucalyptus largiflorens based on groundwater salinity, flooding frequency, and groundwater depth. To determine the usefulness of the model for vegetation management, the quality of both the model and the GIS data sets were tested. Success of the testing procedure was judged by the degree of spatial matching between the model's predictions of health and that assessed from aerial photographs and by field truthing. Analyses at 80 sites showed that tree health was significantly greater where groundwater salinity was less than 40 dS/m or flooding occurred more frequently than 1 in 10 years or depth to groundwater exceeded 4 m. Testing of the GIS data sets found that vegetation was misclassified at 15% of sites. Association was shown between GIS-predicted values and field-truthed values of groundwater salinity but not groundwater depth. The GIS model of health is a useful starting point for future vegetation management and can be further improved by increasing the quality of the data coverages and further refining of the model to optimize parameters and thresholds.</abstract><note>Research</note><relatedItem type="host"><titleInfo><title>Environmental Management</title><subTitle>An International Journal for Decision Makers, Scientists and Environmental Auditors</subTitle></titleInfo><titleInfo type="abbreviated"><title>Environmental Management</title></titleInfo><genre type="journal" displayLabel="Archive Journal"></genre><originInfo><dateIssued encoding="w3cdtf">1996-07-01</dateIssued><copyrightDate encoding="w3cdtf">1996</copyrightDate></originInfo><subject><genre>Environment</genre><topic>Ecology</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Environmental Management</topic><topic>Soil Science & Conservation</topic><topic>Waste Management/Waste Technology</topic><topic>Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution</topic></subject><identifier type="ISSN">0364-152X</identifier><identifier type="eISSN">1432-1009</identifier><identifier type="JournalID">267</identifier><identifier type="IssueArticleCount">12</identifier><identifier type="VolumeIssueCount">6</identifier><part><date>1996</date><detail type="volume"><number>20</number><caption>vol.</caption></detail><detail type="issue"><number>4</number><caption>no.</caption></detail><extent unit="pages"><start>553</start><end>564</end></extent></part><recordInfo><recordOrigin>Springer-Verlag New York Inc., 1996</recordOrigin></recordInfo></relatedItem><identifier type="istex">9FDDC92D0A4A1108B13226360FC84BC1E19217C2</identifier><identifier type="DOI">10.1007/BF01474655</identifier><identifier type="ArticleID">BF01474655</identifier><identifier type="ArticleID">Art9</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag New York Inc., 1996</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag New York Inc., 1996</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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