<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230127</CreaDate>
<CreaTime>12481400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Western Cape Biodiversity Spatial Plan (WCBSP 2017)</resTitle>
</idCitation>
<idAbs>The Western Cape Biodiversity Spatial Plan (WCBSP) 2017 is the product of a systematic biodiversity planning assessment that delineates, on a map (via a Geographic Information System (GIS)), &lt;div&gt;Critical Biodiversity Areas (CBAs) and Ecological Support Areas (ESAs) which require safeguarding to ensure the continued existence and functioning of species and ecosystems, including the delivery of ecosystem services, across terrestrial and freshwater realms. &lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;These spatial priorities are used to inform sustainable development in the Western Cape Province. This product replaces all previous systematic biodiversity planning products and sector plans with updated layers and features. &lt;div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt; Publication Date: 6 March 2017&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>Cape Nature</keyword>
<keyword>ESA</keyword>
<keyword>CBA</keyword>
<keyword>ONA</keyword>
<keyword>WCSBP</keyword>
<keyword>CBA Map</keyword>
<keyword>Protected Areas</keyword>
<keyword>Critical Biodiversity</keyword>
<keyword>Ecosystems Support</keyword>
<keyword>Western Cape</keyword>
<keyword>DEA&amp;DP-BiodiversityPlans</keyword>
<keyword>WCG Spatial Data Warehouse</keyword>
</searchKeys>
<idPurp>Western Cape Biodiversity Spatial Plan (WCBSP) 2017.</idPurp>
<idCredit>Cape Nature</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
