<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20231106</CreaDate>
        <CreaTime>09202400</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>Resilient and Connected Network Database</resTitle>
        </idCitation>
        <searchKeys>
            
            
            
        <keyword>Composition</keyword><keyword>Biodiversity</keyword><keyword>High Divide</keyword><keyword>TNC</keyword><keyword>Resilent lands</keyword><keyword>Connected Lands</keyword></searchKeys>
        <idPurp>This layer is clipped from the Nature Conservancy’s Resilient and Connected Network database</idPurp>
        <idAbs>&lt;div style='text-align:left;'&gt;&lt;p style='font-size:12pt;'&gt;&lt;span&gt;This layer is clipped from the Nature Conservancy’s Resilient and Connected Network database, which assembled information on places recognized for their biodiversity value, as well as from state wildlife action plans and the Natural Heritage Network. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style='font-size:12pt;'&gt;The Nature Conservancy describes this data on this site &lt;/span&gt;&lt;span style='font-size:16px;'&gt;https://www.maps.tnc.org/resilientland &lt;/span&gt;&lt;span style='font-size:12pt;'&gt;as:&lt;/span&gt;&lt;/p&gt;&lt;p style='font-size:12pt;'&gt;&lt;span&gt;&amp;quot;&lt;/span&gt;&lt;span style='color:rgb(0, 0, 0); font-family:&amp;quot;Helvetica Neue&amp;quot;, Helvetica, &amp;quot;Trebuchet MS&amp;quot;, Arial, sans-serif; font-size:13px;'&gt;The Resilient and Connected Network is a proposed conservation network of representative climate-resilient sites designed to sustain biodiversity and ecological functions into the future under a changing climate. The network was identified and mapped over a 10-year period by Nature Conservancy scientists using public data available at the state and national scale, and an inclusive process that involved 289 scientists from agencies, academia, and NGOs across the US.&lt;/span&gt;&lt;/p&gt;&lt;p style='font-size:13px; color:rgb(0, 0, 0); font-family:&amp;quot;Helvetica Neue&amp;quot;, Helvetica, &amp;quot;Trebuchet MS&amp;quot;, Arial, sans-serif;'&gt;&lt;strong&gt;The Network&lt;/strong&gt; is a starting point for conversations with local communities, indigenous tribes, land trusts, agencies, corporations, and funders on how to coordinate conservation efforts to increase our collective impact and sustain nature. Resilient lands and waters may be conserved by a wide range of measures from good land stewardship, to other forms of private land conservation, to outright fee or easement acquisition by various levels of government. &amp;quot;&lt;/p&gt;&lt;/div&gt;</idAbs>
        <idCredit>The Nature Conservancy, modified by Heart of the Rockies.  Original Nature Conservancy Data found at: Mark G. Anderson https://orcid.org/0000-0001-5177-0716 manderson@tnc.org, Melissa Clark https://orcid.org/0000-0002-1863-8577, Arlene P. Olivero, +7, and D. Richard Cameron https://orcid.org/0000-0001-7750-9049Authors Info &amp; Affiliations
Edited by Jenny McGuire, Georgia Institute of Technology, Atlanta, Georgia; received March 22, 2022; accepted August 6, 2022 by Editorial Board Member Nils C. Stenseth
February 6, 2023
120 (7) e2204434119
https://doi.org/10.1073/pnas.2204434119
and https://www.maps.tnc.org/resilientland/</idCredit>
        <resConst>
            <Consts>
                <useLimit>&lt;div&gt;​​​​​​​The 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.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;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;/div&gt;</useLimit>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>