<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20210316</CreaDate>
        <CreaTime>14061600</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
        <DataProperties/>
    </Esri>
    <dataIdInfo>
        <idAbs>&lt;p&gt;◦Overview: A key principle of Landscape Conservation Design is that “Stakeholders design landscape configurations that promote resilient and sustainable social-ecological systems” (Campellone et al, 2018). From Campellone et al: (2018): “A beneficial aspect of stakeholder engagement in spatial design is the development of a deeper trust that the models used to identify priorities integrate their interests with other information and knowledge, which furthers social learning and collective agreement on resource allocation and landscape objectives” (Melillo et al., 2014). Overall, the co-development of a spatial design helps organize landscape elements while maintaining and improving stakeholder buy-in” (De Groot, Alkemade, Braat, Hein, &amp;amp; Willemen, 2009; Melillo et al., 2014).”&lt;/p&gt;&lt;p&gt;◦Analytical Question: Create a prototype landscape design (blueprint) that integrates multiple values on the landscape including wildlife conservation, forest and agriculture production, recreation, cultural and human health. The prototype will be created based upon readily available data.This analysis will be used to understand landscape-scale conservation and working landscape priorities, while incorporating other important values.The blueprint will be used to represent a sustainable landscape in the future.&lt;/p&gt;&lt;p&gt;◦Desired Outcome: A map or maps that represents a balance of multiple values on the landscape, with a focus on conservation and working landscape values.&lt;/p&gt;</idAbs>
        <searchKeys>
            
        <keyword>Cascades to Coast Landscape Collaborative</keyword><keyword>Spatial Design</keyword><keyword>Oregon</keyword><keyword>Washington</keyword><keyword>Coastal Ecoregion</keyword><keyword>Landscape Conservation Design</keyword><keyword>Conservation</keyword></searchKeys>
        <idPurp>This hexagon grid cell layer covers the entire Cascades to Coast Landscape Collaborative region.  Each grid cell contains values for multiple conservation related attributes.</idPurp>
        <idCredit>U.S Fish &amp; Wildlife Service</idCredit>
        <resConst>
            <Consts>
                <useLimit>&lt;font size='3'&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;The United States Fish and Wildlife Service (Service) shall not be held liable for improper or incorrect use of the &lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;data described and/or contained herein. While the Service makes every reasonable effort to ensure the accuracy &lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;and completeness of data provided for distribution, it may not ha&lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;ve the necessary accuracy or completeness &lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;required for every possible intended use. The Service recommends that data users consult the associated &lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;metadata record to understand the quality and possible limitations of the data. The Service creates metadata &lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;records in accordance with the standards endorsed by the Federal Geographic Data Committee.&lt;/font&gt;&lt;/span&gt;&lt;/font&gt;&lt;div&gt;&lt;font size='3'&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;&lt;br /&gt;&lt;/font&gt;&lt;/span&gt;&lt;/font&gt;&lt;/div&gt;&lt;div&gt;&lt;font size='3'&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;As a result of the above considerations, the Service gives no warranty, expressed or implied, as to the accuracy, &lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;reliability, or completeness of the data. It is t&lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;he responsibility of the data user to use the data in a manner &lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;consistent with the limitations of geospatial data in general and these data in particular. Although these data &lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;have been processed successfully on a computer system at the Service, no warranty&lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;, expressed or implied, is &lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of &lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;distribution constitute any such warranty. This applies to the use of the data both alone and in aggregate with &lt;/font&gt;&lt;/span&gt;&lt;span style='font-family:sans-serif;'&gt;&lt;font color='#000000' style='background-color:rgb(255, 255, 255);'&gt;other data and information.&lt;/font&gt;&lt;/span&gt;&lt;/font&gt;&lt;/div&gt;</useLimit>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>