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    <Esri>
        <CreaDate>20230809</CreaDate>
        <CreaTime>14274500</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>Ecological Integrity</resTitle>
        </idCitation>
        <searchKeys>
            <keyword>Connectivity</keyword>
            <keyword>Belote</keyword>
            <keyword>Dreiss</keyword>
            <keyword>High Divide</keyword>
        </searchKeys>
        <idPurp>This layer displays the results of the intersection of two published connectivity layers in the High Divide Region.</idPurp>
        <idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;From Belote et al. 2022, we used the middle tolerance scenario with a 150 m moving window and reclassified raster based on the mean value (.727). Everything above the mean was considered "suitable" connectivity. The layer was clipped to the analysis area and converted into a polygon.  Dreiss et al. (2022) extracted raw data values on connectivity and climate flow for areas that were IDed as climate-informed corridors based on categorical connectivity and climate flow dataset (TNC 2020). The remaining values were rescaled to fall between 0 and 1. A second climate corridor dataset (Carroll et al. 2018) was similarly rescaled. These two datasets were combined and locations in the 80th percentile of the distribution of combined values were analyzed. Higher values in the dataset indicate more optimal climate corridors. From Dreiss et al. 2022, here we took the upper 66% of values from the climate-informed wildlife corridors, as the top 33% and 50% were both insufficient to show data in the region given the dataset's national scale. The layer was clipped to the analysis area and converted into a polygon.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;These two layers were combined using the Count Overlap tool. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;</idAbs>
        <idCredit>Dreiss, et. al. 2022, Belote et. al. 2022, USFWS, Heart of the Rockies</idCredit>
        <resConst>
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                <useLimit>&lt;div style='text-align:Left; font-size:12pt;'&gt;&lt;p&gt;&lt;p&gt;&lt;span style='font-family:&amp;quot;Arial&amp;quot;,sans-serif; color:#4C4C4C; background:white;'&gt;United States Fish and Wildlife Service (Service) shall not
be held liable for improper or incorrect use of the data described and/or
contained herein. While the Service makes every reasonable effort to ensure the
accuracy and completeness of data provided for distribution, it may not have
the necessary accuracy or completeness required for every possible intended
use. The Service recommends that data users consult the associated metadata
record to understand the quality and possible limitations of the data. The
Service creates metadata records in accordance with the standards endorsed by
the Federal Geographic Data Committee. As a result of the above considerations,
the Service gives no warranty, expressed or implied, as to the accuracy,
reliability, or completeness of the data. It is the responsibility of the data
user to use the data in a manner consistent with the limitations of geospatial
data in general and these data in particular. Although these data have been
processed successfully on a computer system at the Service, no warranty,
expressed or implied, is made regarding the utility of the data on another
system or for general or scientific purposes, nor shall the act of distribution
constitute any such warranty. This applies to the use of the data both alone
and in aggregate with other data and information.&lt;/span&gt;&amp;lt;o:p&amp;gt;&amp;lt;/o:p&amp;gt;&lt;/p&gt;&lt;br /&gt;&lt;/p&gt;&lt;/div&gt;</useLimit>
            </Consts>
        </resConst>
    </dataIdInfo>
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