<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
  <Esri>
    <CreaDate>20220323</CreaDate>
    <CreaTime>16015500</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
    <scaleRange>
      <minScale>150000000</minScale>
      <maxScale>5000</maxScale>
    </scaleRange>
    <ArcGISProfile>FGDC</ArcGISProfile>
  </Esri>
  <dataIdInfo>
    <idCitation>
      <resTitle>Conservation Targets</resTitle>
    </idCitation>
    <idPurp>Map contains the distribution of each of the forty-two Conservation Targets identified in the Idaho State Wildlife Action Plan.</idPurp>
    <idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;To classify threats, we used the International Union for Conservation of Nature ( IUCN )– Conservation Measures Partnership (CMP) Threats and Actions Classifications framework . The SWAP considers threats regardless of their origins ( e.g., local, state, regional, national, and international) where relevant to Idaho’s species and habitats. Similarly, where relevant, the plan describes conservation actions for Idaho species and habitats that could be addressed by federal resource management agencies or regional, national, or international partners and shared with other states (e.g., out- of-basin fish passage, threats on wintering grounds).&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;We used the Open Standards for the Practice of Conservation , as implemented in Miradi Adaptive Management Software for Conservation Projects, as the core methodology for revisions to this plan. This methodology is designed to allow key agencies and stakeholders in each of Idaho ’s 14 sections to discuss and hopefully come to agreement on focal conservation targets (both species and habitats ), key threats affecting these targets, the actions needed to mitigate these threats and/or restore the targets, and the monitoring indicators that can be used to track progress over time.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Our ultimate aim was to create a living action plan for each section that can become the basis for ongoing adaptive management of these important resources. For the 2015 SWAP revision, we took a “coarse filter –fine filter” approach to both address the “full array of wildlife” and “wildlife -related issues” in Idaho, but also to focus on actions that benefit multiple species and the habitats they depend on.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
    <idCredit>Idaho Fish and Game</idCredit>
    <searchKeys>
      <keyword>IDFG</keyword>
      <keyword>SWAP</keyword>
      <keyword>wildlife</keyword>
      <keyword>conservation</keyword>
      <keyword>species</keyword>
      <keyword>of</keyword>
      <keyword>greatest</keyword>
      <keyword>conservation</keyword>
      <keyword>need</keyword>
      <keyword>fish</keyword>
      <keyword>wildlife</keyword>
      <keyword>distribution</keyword>
      <keyword>and</keyword>
      <keyword>abundance</keyword>
      <keyword>condition</keyword>
      <keyword>of</keyword>
      <keyword>key</keyword>
      <keyword>habitats</keyword>
      <keyword>threats</keyword>
      <keyword>conservation</keyword>
      <keyword>actions</keyword>
      <keyword>monitoring</keyword>
      <keyword>adaptive</keyword>
      <keyword>management</keyword>
      <keyword>review</keyword>
      <keyword>and</keyword>
      <keyword>revision</keyword>
      <keyword>coordination</keyword>
      <keyword>public</keyword>
      <keyword>participation</keyword>
    </searchKeys>
    <resConst>
      <Consts>
        <useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="font-style:italic;margin:0 0 0 0;"&gt;&lt;SPAN&gt;The data represented in this file are true and accurate to the best of our knowledge but are considered a best representation only. Users must assume responsibility in determining the usability of these data for their purposes. By using the data, users release Idaho Fish and Game and any related State of Idaho entity from liability of any kind. Idaho Fish and Game does not assume liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind arising out of the use of or reliance on the data. No warranty expressed or implied is made by Idaho Fish and Game regarding the utility of the data on any other system, nor shall the act of distribution constitute such warranty.&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">20220324</mdDateSt>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAlgCWAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
    </Thumbnail>
  </Binary>
</metadata>
