<?xml version="1.0" encoding="UTF-8"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20140825</CreaDate>
<CreaTime>15075200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>These datasets are intended to inform vector control activities in the state of Oregon.  ODFW will only make recommendations for mosquito control treatment protocols on sensitive areas, as identified in "ODFW's Vector Control Guidance for Sensitive Areas" (http://www.dfw.state.or.us/fish/water/vector_control_guidance.asp) or confirmed by the local fish and wildlife biologists utilizing the guidelines in the document. In general, a sensitive area is any area where fish and wildlife and their habitats are rare or of local importance due to their special nature or role in the ecosystem.</idAbs>
<searchKeys>
<keyword>wildlife area</keyword>
<keyword>wildlife management</keyword>
<keyword>wildlife refuge</keyword>
<keyword>boundaries</keyword>
<keyword>vector control</keyword>
<keyword>Wetlands</keyword>
<keyword>Oregon</keyword>
<keyword>Aquatic</keyword>
<keyword>habitat</keyword>
<keyword>fish</keyword>
<keyword>wildlife</keyword>
<keyword>sensitive area</keyword>
<keyword>Lands</keyword>
<keyword>Base Data</keyword>
<keyword>Boundaries</keyword>
<keyword>Cartographic</keyword>
<keyword>Jurisdiction</keyword>
<keyword>County</keyword>
<keyword>Perimeter</keyword>
</searchKeys>
<idPurp>This service contains four vector control related datasets: vector control district boundaries; wildlife areas and refuges; unique, rare and vulnerable habitats; wetlands of concern.</idPurp>
<idCredit>ODFW, Vector Control Districts, ORBIC, The Wetlands Conservancy, US Fish and Wildlife Service</idCredit>
<resConst>
<Consts>
<useLimit></useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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==</Data>
</Thumbnail>
</Binary>
</metadata>
