<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20251218</CreaDate>
<CreaTime>11282100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>L'Infrastructure Ecologique genevoise (IE) découle de l'objectif 11 d'Aichi défini dans le Plan Stratégique mondial (CBD, 2010), repris par la confédération et la SBG30.&lt;br /&gt;Il s'agit de mettre en périmètre protégé 17% de zone terrestre de haute qualité biologique. Toutefois, pour assurer la protection de la biodiversité cantonale, ces hotspots ne se suffisent pas.&lt;br /&gt;En effet, selon le Forum Biodiversité Suisse, 13 % de zone supplémentaire sont encore nécessaires pour assurer une mise en réseau cohérente, mais aussi la fonctionnalité des écosystèmes et fournir des services écosystémique (SE) tout en participant à la prospérité économique, sociale et environnementale de la population.&lt;br /&gt;&lt;br /&gt;La donnée présentée ici est dérivée des couches FFP_IE_DIAGNOSTIC_BIODIVERSITE, FFP_IE_STRUCTURE, FFP_IE_CONNECTIVITE, et FFP_IE_SERVICE_ECOSYSTEMIQUES. Il s'agit de leur conversion d'un format raster vers un format vecteur puis de leur compilation dans une unique couche.&lt;br /&gt;Les polygones sont de forme hexagonale de 100m de hauteur pour faciliter la visualisation et représentent la valeur moyenne observée dans les couches originales. &lt;br /&gt;&lt;br /&gt;Les informations contenues dans la couche sont variés et traitent de la biodiversité de facon multidimensionnelle afin d'en estimer la qualité. Sont compilés des informations d'habitat et de richesse spécifique (pilier composition), de structure des écosystèmes (pilier structure), de fonction des écosystèmes (pilier connectivité) et de service écosystémique (pilier service écosystémique). &lt;br /&gt;&lt;br /&gt;Des valeurs faibles par pilier indiquent que la zone n'est plus fonctionnelle pour le pilier en question. A l'inverse des valeurs élevées (supérieures à 70 sur 100) indiquent que la zone est de grande importance pour le pilier en question. Les zones de valeurs intermédiaires n'ont pas moins d'intérêt puisqu'elles peuvent être à l'interface entre des zones de haute qualité et venir les dégrader risquerait de compromettre la fonctionnalité des écosystèmes. &lt;br /&gt;&lt;br /&gt;Cette aggrégation d'informations facilite ainsi la compréhension du diagnostic de la biodiversité et de son état de santé.</idAbs>
<searchKeys>
<keyword>Environnement</keyword>
</searchKeys>
<idPurp>Synthèse infrastructure écologique à 100 mètres</idPurp>
<idCredit>© 2025 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Synthèse infrastructure écologique à 100 mètres</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
