<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210819</CreaDate>
<CreaTime>07344700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<scaleRange>
<minScale>20000000</minScale>
<maxScale>50000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Priority_Areas_Forest_Health_2020</resTitle>
</idCitation>
<idPurp>Forest Health Priority Areas from Pennsylvania's 2020 Forest Action Plan (FAP).</idPurp>
<searchKeys>
<keyword>Forest Action Plan</keyword>
<keyword>FAP</keyword>
<keyword>Pennsylvania</keyword>
<keyword>Forestry</keyword>
<keyword>Priority Areas</keyword>
<keyword>Forest Health</keyword>
</searchKeys>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Using GIS technologies, the Bureau conducted an overlay of multiple resource data layers to create geospatial prioritization of land area for seven themes: (1) Forest Health, (2) Working Forests, (3) Urban Forests, (4) Climate Change, (5) Wildfire, (6) Ecological, and (7) Water. For each theme, a priority landscapes map was produced that classifies all 28 million acres of the state into high-medium-low priority categories based on the map's theme.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idCredit>PA DCNR, Bureau of Forestry</idCredit>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;The data is intended for demonstration, education, planning, and monitoring purposes only. The user is advised not to use this dataset beyond its stated accuracy. To do so may yield unusual, undesirable, or incorrect results. Users of this dataset shall save the Commonwealth harmless from any suits, claims, or actions arising out of the use of or any defect in the data files or accompanying documentation. The Commonwealth excludes any and all implied warranties and makes no warranty or representation with respect to the data files or accompanying documentation, including quality, performance, merchantability, or fitness for a particular purpose. These data files and documentation are provided as is and the user assumes the entire risk as to their quality and performance. This data was based on the best available information at the time and may contain errors or omissions.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20210819</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
