A GEOGRAPHIC INFORMATION SYSTEM TOOL FOR AQUATIC RESOURCE CONSERVATION IN THE RED AND SABINE RIVER WATERSHEDS OF THE SOUTHEAST UNITED STATES
Identifieur interne : 001258 ( Istex/Corpus ); précédent : 001257; suivant : 001259A GEOGRAPHIC INFORMATION SYSTEM TOOL FOR AQUATIC RESOURCE CONSERVATION IN THE RED AND SABINE RIVER WATERSHEDS OF THE SOUTHEAST UNITED STATES
Auteurs : J. A. Jenkins ; S. B. Hartley ; J. Carter ; D. J. Johnson ; J. B. AlfordSource :
- River Research and Applications [ 1535-1459 ] ; 2013-01.
Abstract
Our goal was to build a geographic information system (GIS) tool to enhance modeling and hypothesis testing relevant to watersheds and fish fauna of the Red and Sabine Rivers in the southeastern United States. Species of concern were identified from wildlife action plans and Web sites. Spatial distributions of fish species and mercury in fillets were delineated using data from states. Public georeferenced data were obtained on land cover, soil type, forest canopy, impervious surfaces, wastewater facilities and 303(d) impaired waters. Overlay maps highlighted patterns across 8‐digit hydrologic unit codes (HUCs). Bossier City, Louisiana and Beaumont, Texas areas displayed impervious surfaces over 10% and 303(d) waters per HUC were 20% and 8%, respectively. Because bowfin (Amia calva) (n = 299) and bass (Micropterus spp.) (n = 1493) occurred in up to 44% of HUCs and fillets contained elemental mercury concentrations across ranges monitored, they were appropriate indicators of bioavailable mercury. Of the total fish number showing >0.5 ppm, 81% of records were derived from bowfin and bass, and stepwise multiple linear regressions indicated fish with mercury at these concentrations correlated with environmental variables. Detrended correspondence analysis showed total species occurrence and environmental relationships significant, where 81.6% of the variability in fish occurrence was explained by impervious surface, land cover other than canopy or impervious surface (such as wetlands and agricultural area) and canopy (forest type). Two‐way indicator species analysis delineated species co‐occurrence in HUCs (14 groups) and similarity of species composition (nine groups). Results identified three HUC groupings as potential targets for managerial interest. Quality control concerns for GIS development included site name data and priority rankings of critical fish species. This tool can be used to support modeling and trend analyses for several purposes, such as those relevant for developing and reporting on water quality standards and critical habitat assessments. Published in 2011 by John Wiley & Sons, Ltd.
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DOI: 10.1002/rra.1580
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ISTEX:A5F0B5B168576A99CFFA9B939F81B0BFF96D6A0BLe document en format XML
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A." last="Jenkins">J. A. Jenkins</name><affiliation><mods:affiliation>U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>J. A. Jenkins. U.S. Geological Survey, National Wetlands Research Center.E‐mail:</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: jenkinsj@usgs.gov</mods:affiliation></affiliation></author><author><name sortKey="Hartley, S B" sort="Hartley, S B" uniqKey="Hartley S" first="S. B." last="Hartley">S. B. Hartley</name><affiliation><mods:affiliation>U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</mods:affiliation></affiliation></author><author><name sortKey="Carter, J" sort="Carter, J" uniqKey="Carter J" first="J." last="Carter">J. Carter</name><affiliation><mods:affiliation>U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</mods:affiliation></affiliation></author><author><name sortKey="Johnson, D J" sort="Johnson, D J" uniqKey="Johnson D" first="D. J." last="Johnson">D. J. Johnson</name><affiliation><mods:affiliation>IAP World Services, Inc., U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</mods:affiliation></affiliation></author><author><name sortKey="Alford, J B" sort="Alford, J B" uniqKey="Alford J" first="J. B." last="Alford">J. B. Alford</name><affiliation><mods:affiliation>Louisiana Department of Wildlife and Fisheries, Office of Fisheries, Fisheries Management Section, Louisiana, Baton Rouge, USA</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">River Research and Applications</title><title level="j" type="abbrev">River Res. Applic.</title><idno type="ISSN">1535-1459</idno><idno type="eISSN">1535-1467</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2013-01">2013-01</date><biblScope unit="volume">29</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="99">99</biblScope><biblScope unit="page" to="124">124</biblScope></imprint><idno type="ISSN">1535-1459</idno></series><idno type="istex">A5F0B5B168576A99CFFA9B939F81B0BFF96D6A0B</idno><idno type="DOI">10.1002/rra.1580</idno><idno type="ArticleID">RRA1580</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1535-1459</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">Our goal was to build a geographic information system (GIS) tool to enhance modeling and hypothesis testing relevant to watersheds and fish fauna of the Red and Sabine Rivers in the southeastern United States. Species of concern were identified from wildlife action plans and Web sites. Spatial distributions of fish species and mercury in fillets were delineated using data from states. Public georeferenced data were obtained on land cover, soil type, forest canopy, impervious surfaces, wastewater facilities and 303(d) impaired waters. Overlay maps highlighted patterns across 8‐digit hydrologic unit codes (HUCs). Bossier City, Louisiana and Beaumont, Texas areas displayed impervious surfaces over 10% and 303(d) waters per HUC were 20% and 8%, respectively. Because bowfin (Amia calva) (n = 299) and bass (Micropterus spp.) (n = 1493) occurred in up to 44% of HUCs and fillets contained elemental mercury concentrations across ranges monitored, they were appropriate indicators of bioavailable mercury. Of the total fish number showing >0.5 ppm, 81% of records were derived from bowfin and bass, and stepwise multiple linear regressions indicated fish with mercury at these concentrations correlated with environmental variables. Detrended correspondence analysis showed total species occurrence and environmental relationships significant, where 81.6% of the variability in fish occurrence was explained by impervious surface, land cover other than canopy or impervious surface (such as wetlands and agricultural area) and canopy (forest type). Two‐way indicator species analysis delineated species co‐occurrence in HUCs (14 groups) and similarity of species composition (nine groups). Results identified three HUC groupings as potential targets for managerial interest. Quality control concerns for GIS development included site name data and priority rankings of critical fish species. This tool can be used to support modeling and trend analyses for several purposes, such as those relevant for developing and reporting on water quality standards and critical habitat assessments. Published in 2011 by John Wiley & Sons, Ltd.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>J. A. Jenkins</name><affiliations><json:string>U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</json:string><json:string>J. A. Jenkins. U.S. Geological Survey, National Wetlands Research Center.E‐mail:</json:string><json:string>E-mail: jenkinsj@usgs.gov</json:string></affiliations></json:item><json:item><name>S. B. Hartley</name><affiliations><json:string>U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</json:string></affiliations></json:item><json:item><name>J. 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Species of concern were identified from wildlife action plans and Web sites. Spatial distributions of fish species and mercury in fillets were delineated using data from states. Public georeferenced data were obtained on land cover, soil type, forest canopy, impervious surfaces, wastewater facilities and 303(d) impaired waters. Overlay maps highlighted patterns across 8‐digit hydrologic unit codes (HUCs). Bossier City, Louisiana and Beaumont, Texas areas displayed impervious surfaces over 10% and 303(d) waters per HUC were 20% and 8%, respectively. Because bowfin (Amia calva) (n = 299) and bass (Micropterus spp.) (n = 1493) occurred in up to 44% of HUCs and fillets contained elemental mercury concentrations across ranges monitored, they were appropriate indicators of bioavailable mercury. Of the total fish number showing >0.5 ppm, 81% of records were derived from bowfin and bass, and stepwise multiple linear regressions indicated fish with mercury at these concentrations correlated with environmental variables. Detrended correspondence analysis showed total species occurrence and environmental relationships significant, where 81.6% of the variability in fish occurrence was explained by impervious surface, land cover other than canopy or impervious surface (such as wetlands and agricultural area) and canopy (forest type). Two‐way indicator species analysis delineated species co‐occurrence in HUCs (14 groups) and similarity of species composition (nine groups). Results identified three HUC groupings as potential targets for managerial interest. Quality control concerns for GIS development included site name data and priority rankings of critical fish species. This tool can be used to support modeling and trend analyses for several purposes, such as those relevant for developing and reporting on water quality standards and critical habitat assessments. 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A.</forename><surname>Jenkins</surname></persName><email>jenkinsj@usgs.gov</email><affiliation>U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</affiliation><affiliation>J. A. Jenkins. U.S. Geological Survey, National Wetlands Research Center.E‐mail:</affiliation></author><author xml:id="author-2"><persName><forename type="first">S. B.</forename><surname>Hartley</surname></persName><affiliation>U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</affiliation></author><author xml:id="author-3"><persName><forename type="first">J.</forename><surname>Carter</surname></persName><affiliation>U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</affiliation></author><author xml:id="author-4"><persName><forename type="first">D. J.</forename><surname>Johnson</surname></persName><affiliation>IAP World Services, Inc., U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</affiliation></author><author xml:id="author-5"><persName><forename type="first">J. B.</forename><surname>Alford</surname></persName><affiliation>Louisiana Department of Wildlife and Fisheries, Office of Fisheries, Fisheries Management Section, Louisiana, Baton Rouge, USA</affiliation></author></analytic><monogr><title level="j">River Research and Applications</title><title level="j" type="abbrev">River Res. Applic.</title><idno type="pISSN">1535-1459</idno><idno type="eISSN">1535-1467</idno><idno type="DOI">10.1002/(ISSN)1535-1467</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2013-01"></date><biblScope unit="volume">29</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="99">99</biblScope><biblScope unit="page" to="124">124</biblScope></imprint></monogr><idno type="istex">A5F0B5B168576A99CFFA9B939F81B0BFF96D6A0B</idno><idno type="DOI">10.1002/rra.1580</idno><idno type="ArticleID">RRA1580</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2011-07-20</date></creation><langUsage><language ident="en">en</language></langUsage><abstract><p>Our goal was to build a geographic information system (GIS) tool to enhance modeling and hypothesis testing relevant to watersheds and fish fauna of the Red and Sabine Rivers in the southeastern United States. Species of concern were identified from wildlife action plans and Web sites. Spatial distributions of fish species and mercury in fillets were delineated using data from states. Public georeferenced data were obtained on land cover, soil type, forest canopy, impervious surfaces, wastewater facilities and 303(d) impaired waters. Overlay maps highlighted patterns across 8‐digit hydrologic unit codes (HUCs). Bossier City, Louisiana and Beaumont, Texas areas displayed impervious surfaces over 10% and 303(d) waters per HUC were 20% and 8%, respectively. Because bowfin (Amia calva) (n = 299) and bass (Micropterus spp.) (n = 1493) occurred in up to 44% of HUCs and fillets contained elemental mercury concentrations across ranges monitored, they were appropriate indicators of bioavailable mercury. Of the total fish number showing >0.5 ppm, 81% of records were derived from bowfin and bass, and stepwise multiple linear regressions indicated fish with mercury at these concentrations correlated with environmental variables. Detrended correspondence analysis showed total species occurrence and environmental relationships significant, where 81.6% of the variability in fish occurrence was explained by impervious surface, land cover other than canopy or impervious surface (such as wetlands and agricultural area) and canopy (forest type). Two‐way indicator species analysis delineated species co‐occurrence in HUCs (14 groups) and similarity of species composition (nine groups). Results identified three HUC groupings as potential targets for managerial interest. Quality control concerns for GIS development included site name data and priority rankings of critical fish species. This tool can be used to support modeling and trend analyses for several purposes, such as those relevant for developing and reporting on water quality standards and critical habitat assessments. Published in 2011 by John Wiley & Sons, Ltd.</p></abstract><textClass><keywords scheme="keyword"><list><head>keywords</head><item><term>canopy</term></item><item><term>impervious surface</term></item><item><term>303(d) impaired waters</term></item><item><term>imperiled wildlife</term></item><item><term>wastewater</term></item><item><term>wildlife action plans</term></item><item><term>water quality</term></item><item><term>mercury</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>article-category</head><item><term>Research Article</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2011-02-04">Received</change><change when="2011-06-29">Registration</change><change when="2011-07-20">Created</change><change when="2013-01">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/A5F0B5B168576A99CFFA9B939F81B0BFF96D6A0B/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component type="serialArticle" version="2.0" xml:lang="en" xml:id="rra1580"><header><publicationMeta level="product"><doi>10.1002/(ISSN)1535-1467</doi><issn type="print">1535-1459</issn><issn type="electronic">1535-1467</issn><idGroup><id type="product" value="RRA"></id></idGroup><titleGroup><title type="main" sort="RIVER RESEARCH AND APPLICATIONS">River Research and Applications</title><title type="short">River Res. 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A. Jenkins. U.S. Geological Survey, National Wetlands Research Center.</line><line>E‐mail: <email>jenkinsj@usgs.gov</email></line></lineatedText></correspondenceTo><objectNameGroup><objectName elementName="appendix">Appendix</objectName></objectNameGroup><linkGroup><link type="toTypesetVersion" href="file:RRA.RRA1580.pdf"></link></linkGroup></publicationMeta><contentMeta><titleGroup><title type="main">A GEOGRAPHIC INFORMATION SYSTEM TOOL FOR AQUATIC RESOURCE CONSERVATION IN THE RED AND SABINE RIVER WATERSHEDS OF THE SOUTHEAST UNITED STATES<link href="#rra1580-note-0025"></link></title><title type="tocForm">A GEOGRAPHIC INFORMATION SYSTEM TOOL FOR AQUATIC RESOURCE CONSERVATION IN THE RED AND SABINE RIVER WATERSHEDS OF THE SOUTHEAST UNITED STATES</title><title type="short">GIS IN THE RED AND SABINE RIVER WATERSHEDS</title><title type="shortAuthors">J. A. JENKINS <i>ET AL.</i></title></titleGroup><creators><creator creatorRole="author" xml:id="rra1580-cr-0001" affiliationRef="#rra1580-aff-0001" corresponding="yes"><personName><givenNames>J. A.</givenNames><familyName>Jenkins</familyName></personName></creator><creator creatorRole="author" xml:id="rra1580-cr-0002" affiliationRef="#rra1580-aff-0001"><personName><givenNames>S. B.</givenNames><familyName>Hartley</familyName></personName></creator><creator creatorRole="author" xml:id="rra1580-cr-0003" affiliationRef="#rra1580-aff-0001"><personName><givenNames>J.</givenNames><familyName>Carter</familyName></personName></creator><creator creatorRole="author" xml:id="rra1580-cr-0004" affiliationRef="#rra1580-aff-0002"><personName><givenNames>D. J.</givenNames><familyName>Johnson</familyName></personName></creator><creator creatorRole="author" xml:id="rra1580-cr-0005" affiliationRef="#rra1580-aff-0003"><personName><givenNames>J. B.</givenNames><familyName>Alford</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="rra1580-aff-0001" countryCode="US" type="organization"><orgDiv>U.S. Geological Survey</orgDiv><orgName>National Wetlands Research Center</orgName><address><city>Lafayette</city><countryPart>Louisiana</countryPart><country>USA</country></address></affiliation><affiliation xml:id="rra1580-aff-0002" countryCode="US" type="organization"><orgDiv>IAP World Services, Inc., U.S. Geological Survey</orgDiv><orgName>National Wetlands Research Center</orgName><address><city>Lafayette</city><countryPart>Louisiana</countryPart><country>USA</country></address></affiliation><affiliation xml:id="rra1580-aff-0003" countryCode="US" type="organization"><orgDiv>Louisiana Department of Wildlife and Fisheries</orgDiv><orgName>Office of Fisheries, Fisheries Management Section</orgName><address><city>Baton Rouge</city><countryPart>Louisiana</countryPart><country>USA</country></address></affiliation></affiliationGroup><keywordGroup type="author"><keyword xml:id="rra1580-kwd-0001">canopy</keyword><keyword xml:id="rra1580-kwd-0002">impervious surface</keyword><keyword xml:id="rra1580-kwd-0003">303(d) impaired waters</keyword><keyword xml:id="rra1580-kwd-0004">imperiled wildlife</keyword><keyword xml:id="rra1580-kwd-0005">wastewater</keyword><keyword xml:id="rra1580-kwd-0006">wildlife action plans</keyword><keyword xml:id="rra1580-kwd-0007">water quality</keyword><keyword xml:id="rra1580-kwd-0008">mercury</keyword></keywordGroup><fundingInfo><fundingAgency>Southeast Aquatic Resources Partnership</fundingAgency></fundingInfo><abstractGroup><abstract type="main"><title type="main">ABSTRACT</title><p>Our goal was to build a geographic information system (GIS) tool to enhance modeling and hypothesis testing relevant to watersheds and fish fauna of the Red and Sabine Rivers in the southeastern United States. Species of concern were identified from wildlife action plans and Web sites. Spatial distributions of fish species and mercury in fillets were delineated using data from states. Public georeferenced data were obtained on land cover, soil type, forest canopy, impervious surfaces, wastewater facilities and 303(d) impaired waters. Overlay maps highlighted patterns across 8‐digit hydrologic unit codes (HUCs). Bossier City, Louisiana and Beaumont, Texas areas displayed impervious surfaces over 10% and 303(d) waters per HUC were 20% and 8%, respectively. Because bowfin (<i>Amia calva</i>) (<i>n</i> = 299) and bass (<i>Micropterus</i> spp.) (<i>n</i> = 1493) occurred in up to 44% of HUCs and fillets contained elemental mercury concentrations across ranges monitored, they were appropriate indicators of bioavailable mercury. Of the total fish number showing >0.5 ppm, 81% of records were derived from bowfin and bass, and stepwise multiple linear regressions indicated fish with mercury at these concentrations correlated with environmental variables. Detrended correspondence analysis showed total species occurrence and environmental relationships significant, where 81.6% of the variability in fish occurrence was explained by impervious surface, land cover other than canopy or impervious surface (such as wetlands and agricultural area) and canopy (forest type). Two‐way indicator species analysis delineated species co‐occurrence in HUCs (14 groups) and similarity of species composition (nine groups). Results identified three HUC groupings as potential targets for managerial interest. Quality control concerns for GIS development included site name data and priority rankings of critical fish species. This tool can be used to support modeling and trend analyses for several purposes, such as those relevant for developing and reporting on water quality standards and critical habitat assessments. Published in 2011 by John Wiley & Sons, Ltd.</p></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="rra1580-note-0025">This article is a US Government work and is in the public domain in the USA.</note></noteGroup></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A GEOGRAPHIC INFORMATION SYSTEM TOOL FOR AQUATIC RESOURCE CONSERVATION IN THE RED AND SABINE RIVER WATERSHEDS OF THE SOUTHEAST UNITED STATES</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>GIS IN THE RED AND SABINE RIVER WATERSHEDS</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>A GEOGRAPHIC INFORMATION SYSTEM TOOL FOR AQUATIC RESOURCE CONSERVATION IN THE RED AND SABINE RIVER WATERSHEDS OF THE SOUTHEAST UNITED STATES</title></titleInfo><name type="personal"><namePart type="given">J. A.</namePart><namePart type="family">Jenkins</namePart><affiliation>U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</affiliation><affiliation>J. A. Jenkins. U.S. Geological Survey, National Wetlands Research Center.E‐mail:</affiliation><affiliation>E-mail: jenkinsj@usgs.gov</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">S. B.</namePart><namePart type="family">Hartley</namePart><affiliation>U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">Carter</namePart><affiliation>U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">D. J.</namePart><namePart type="family">Johnson</namePart><affiliation>IAP World Services, Inc., U.S. Geological Survey, National Wetlands Research Center, Louisiana, Lafayette, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J. B.</namePart><namePart type="family">Alford</namePart><affiliation>Louisiana Department of Wildlife and Fisheries, Office of Fisheries, Fisheries Management Section, Louisiana, Baton Rouge, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><dateIssued encoding="w3cdtf">2013-01</dateIssued><dateCreated encoding="w3cdtf">2011-07-20</dateCreated><dateCaptured encoding="w3cdtf">2011-02-04</dateCaptured><dateValid encoding="w3cdtf">2011-06-29</dateValid><copyrightDate encoding="w3cdtf">2013</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>Our goal was to build a geographic information system (GIS) tool to enhance modeling and hypothesis testing relevant to watersheds and fish fauna of the Red and Sabine Rivers in the southeastern United States. Species of concern were identified from wildlife action plans and Web sites. Spatial distributions of fish species and mercury in fillets were delineated using data from states. Public georeferenced data were obtained on land cover, soil type, forest canopy, impervious surfaces, wastewater facilities and 303(d) impaired waters. Overlay maps highlighted patterns across 8‐digit hydrologic unit codes (HUCs). Bossier City, Louisiana and Beaumont, Texas areas displayed impervious surfaces over 10% and 303(d) waters per HUC were 20% and 8%, respectively. Because bowfin (Amia calva) (n = 299) and bass (Micropterus spp.) (n = 1493) occurred in up to 44% of HUCs and fillets contained elemental mercury concentrations across ranges monitored, they were appropriate indicators of bioavailable mercury. Of the total fish number showing >0.5 ppm, 81% of records were derived from bowfin and bass, and stepwise multiple linear regressions indicated fish with mercury at these concentrations correlated with environmental variables. Detrended correspondence analysis showed total species occurrence and environmental relationships significant, where 81.6% of the variability in fish occurrence was explained by impervious surface, land cover other than canopy or impervious surface (such as wetlands and agricultural area) and canopy (forest type). Two‐way indicator species analysis delineated species co‐occurrence in HUCs (14 groups) and similarity of species composition (nine groups). Results identified three HUC groupings as potential targets for managerial interest. Quality control concerns for GIS development included site name data and priority rankings of critical fish species. This tool can be used to support modeling and trend analyses for several purposes, such as those relevant for developing and reporting on water quality standards and critical habitat assessments. Published in 2011 by John Wiley & Sons, Ltd.</abstract><note type="content">*This article is a US Government work and is in the public domain in the USA.</note><note type="funding">Southeast Aquatic Resources Partnership</note><subject><genre>keywords</genre><topic>canopy</topic><topic>impervious surface</topic><topic>303(d) impaired waters</topic><topic>imperiled wildlife</topic><topic>wastewater</topic><topic>wildlife action plans</topic><topic>water quality</topic><topic>mercury</topic></subject><relatedItem type="host"><titleInfo><title>River Research and Applications</title></titleInfo><titleInfo type="abbreviated"><title>River Res. Applic.</title></titleInfo><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Research Article</topic></subject><identifier type="ISSN">1535-1459</identifier><identifier type="eISSN">1535-1467</identifier><identifier type="DOI">10.1002/(ISSN)1535-1467</identifier><identifier type="PublisherID">RRA</identifier><part><date>2013</date><detail type="volume"><caption>vol.</caption><number>29</number></detail><detail type="issue"><caption>no.</caption><number>1</number></detail><extent unit="pages"><start>99</start><end>124</end><total>26</total></extent></part></relatedItem><identifier type="istex">A5F0B5B168576A99CFFA9B939F81B0BFF96D6A0B</identifier><identifier type="DOI">10.1002/rra.1580</identifier><identifier type="ArticleID">RRA1580</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2013 John Wiley & Sons, Ltd.Published in 2011 by John Wiley & Sons, Ltd.</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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