<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
  <Esri>
    <CreaDate>20260627</CreaDate>
    <CreaTime>04335200</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
  </Esri>
  <dataIdInfo>
    <idAbs>Les unités de gestion sont des périmètres rassemblés dans des divisions elles-mêmes appartenant à des grands massifs. Elles rassemblent des zones forestières sur lesquelles une intervention a été effectuée, une planification est projetée où un objectif sylvicole est déterminé. Elles font parties du modèle de gestion GESFOR.</idAbs>
    <searchKeys>
      <keyword>Biologie</keyword>
    </searchKeys>
    <idPurp>Unités de gestion en forêt</idPurp>
    <idCredit>© 2026 SITG</idCredit>
    <resConst>
      <Consts>
        <useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
      </Consts>
    </resConst>
    <idCitation>
      <resTitle>Unités de gestion en forêt</resTitle>
    </idCitation>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
    </Thumbnail>
  </Binary>
</metadata>
