<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
  <Esri>
    <CreaDate>20260211</CreaDate>
    <CreaTime>10424900</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
  </Esri>
  <dataIdInfo>
    <idAbs>Le macrozoobenthos - méthode IBCH_2019 &lt;br /&gt;&lt;br /&gt;Le macrozoobenthos regroupe l'ensemble des petits animaux aquatiques qui vivent sur le fond de la rivière : larves d'insectes, mollusques, crustacés, vers,…Ils intègrent à la fois la qualité physico-chimique de l'eau, l'hydrologie et également la morphologie du cours d'eau.&lt;br /&gt;&lt;br /&gt;Cette couche représente l'état biologique de l'ensemble des campagnes de prélèvement hivernaux (février-mars) qui diagnostique le meilleur potentiel écologique de la station.&lt;br /&gt;&lt;br /&gt;Les résultats sont répartis en  5 classes d'état biologique en fonction de la diversité des organismes échantillonnés et de leur sensibilité aux pollutions :&lt;br /&gt;&lt;br /&gt;Valeur de l'IBCH ➜ Etat Biologique:&lt;br /&gt;&lt;br /&gt;0.8 - 1      ➜ Très bon état&lt;br /&gt;0.6 - 0.79 ➜ Bon état&lt;br /&gt;0.4 - 0.59 ➜ Etat moyen&lt;br /&gt;0.2 - 0.39 ➜ Etat médiocre&lt;br /&gt;&amp;lt; 0.2         ➜ Etat mauvais</idAbs>
    <searchKeys>
      <keyword>Biologie</keyword>
      <keyword>Environnement</keyword>
      <keyword>Eaux intérieures</keyword>
      <keyword>190_PUBLISHVECTORS_PUBLISHING</keyword>
      <keyword>190_PUBLISHVECTORS_9eb5573a91af441ba94b5480b0d39e98</keyword>
    </searchKeys>
    <idPurp>Qualite Des Eaux - Macrofaune Benthique - Toutes Mesures</idPurp>
    <idCredit>© 2026 SITG</idCredit>
    <resConst>
      <Consts>
        <useLimit>Accès libre</useLimit>
      </Consts>
    </resConst>
    <idCitation>
      <resTitle>Qualite Des Eaux - Macrofaune Benthique - Toutes Mesures</resTitle>
    </idCitation>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
    </Thumbnail>
  </Binary>
</metadata>
