anchor.diff:  
           <div class='source_summary'>
             <h3 class='overview_title'>Overview</h3>
  -          <p>The <a href='http://intactforests.org/' target='_blank'>Intact Forest Landscapes</a> (IFL) data set identifies unbroken expanses of natural ecosystems within the zone of forest extent, areas that show no signs of significant human activity and are large enough that all native biodiversity, including viable populations of wide-ranging species, could be maintained. To map IFL areas, a set of criteria was developed and designed to be globally applicable and easily replicable to allow for repeated assessments over time as well for verification. The criteria were separated into two groups to assess the spatial extent of developed areas and the fragmentation of these areas. These were then mapped and identified from <a href='http://landsat.usgs.gov/' target='_blank'>Landsat</a> satellite imagery for the year 2000. The landscapes identified as unfragmented were at least 50,000 hectares in size with a minimum width of 10 kilometers. This data can be used to assess forest intactness, alteration, and degradation at global and regional scales. </p>
  +          <p>The <a href='http://intactforests.org/' target='_blank'>Intact Forest Landscapes</a> (IFL) data set identifies unbroken expanses of natural ecosystems within the zone of forest extent, areas that show no signs of significant human activity and are large enough that all native biodiversity, including viable populations of wide-ranging species, could be maintained. To map IFL areas, a set of criteria was developed and designed to be globally applicable and easily replicable, the latter to allow for repeated assessments over time as well for verification. These were then mapped and identified from <a href='http://landsat.usgs.gov/' target='_blank'>Landsat</a> satellite imagery for the year 2000. The landscapes identified as unfragmented were at least 50,000 hectares in size with a minimum width of 10 kilometers. This data can be used to assess forest intactness, alteration, and degradation at global and regional scales. </p>
   
             <p class='credits'><strong>Citation:</strong> Potapov, P., A. Yaroshenko, S. Turubanova, M. Dubinin, L. Laestadius, C. Thies, D. Aksenov, A. Egorov, Y. Yesipova, I. Glushkov, M. Karpachevski, A. Kostickova, A. Manisha, E. Tsybikova, and I. Zhuravleva. 2008. “Mapping the World’s Intact Forest Landscapes by Remote Sensing.” <em>Ecology and Society</em> 13, no. 2: Art. 51. <a href='http://www.ecologyandsociety.org/vol13/iss2/art51' target='_blank'>www.ecologyandsociety.org/vol13/iss2/art51</a>.</p>
   
  
positive.code:           </dl>
            <dl class='sources_row'>
              <dt>Cautions</dt>
              <dd>The world IFL map was created through visual interpretation of Landsat images by experts and may contain inconsistencies and inaccuracies because of limitations in the spatial resolution of the imagery and lack of ancillary information about local land-use practices in some regions. In addition, the treatment of fire as a form of degradation in the IFL methodology may vary from the understanding of fire dynamics in different regions and ecozones.</dd>
            </dl>
          </div>
  
          <div class='source_summary'>
            <h3 class='overview_title'>Overview</h3>
            <p>The <a href='http://intactforests.org/' target='_blank'>Intact Forest Landscapes</a> (IFL) data set identifies unbroken expanses of natural ecosystems within the zone of forest extent that show no signs of significant human activity and are large enough that all native biodiversity, including viable populations of wide-ranging species, could be maintained. To map IFL areas, a set of criteria was developed and designed to be globally applicable and easily replicable to allow for repeated assessments over time as well for verification. The criteria were separated into two groups to assess the spatial extent of developed areas and the degradation of these areas. These were then mapped and identified from Landsat satellite imagery for the year 2013. Degraded areas were identified as areas that had changed from 2000-2013 based on comparison with the 2000 IFL data – either through tree cover loss or fragmentation by roads or other infrastructure. The landscapes identified as unfragmented were at least 50,000 hectares in size with a minimum width of 10 kilometers. This data can be used to assess forest intactness, alteration, and degradation at global and regional scales. More information about the dataset and methodology is available on www.intactforests.org</p>
  
            <p class='credits'><strong>Citation:</strong> Potapov, P., A. Yaroshenko, S. Turubanova, M. Dubinin, L. Laestadius, C. Thies, D. Aksenov, A. Egorov, Y. Yesipova, I. Glushkov, M. Karpachevski, A. Kostickova, A. Manisha, E. Tsybikova, and I. Zhuravleva. 2008. “Mapping the World’s Intact Forest Landscapes by Remote Sensing.” <em>Ecology and Society</em> 13, no. 2: Art. 51. <a href='http://www.ecologyandsociety.org/vol13/iss2/art51' target='_blank'>www.ecologyandsociety.org/vol13/iss2/art51</a>. Suggested citation for data as displayed on GFW: Greenpeace, University of Maryland, World Resources Institute and Transparent World. 2014. Intact Forest Landscapes: update and degradation from 2000-2013. Accessed through Global Forest Watch on Sept. 4th. <a href='www.globalforestwatch.org' target='_blank'></p>
  
            <p class='read_more hidden'><em>Learn more or download data at the <a href='http://intactforests.org/' target='_blank'>Intact Forest Landscapes website</a></em></p>
          </div>
  
negative.code:         <div class='source_table'>
            <dl class='sources_row'>
              <dt>Function</dt>
              <dd>Identifies and locates the world’s Intact Forest Landscapes as of the year 2013 and changes in their extent from 2000 to 2013. Intact Forest Landscapes are undisturbed forest areas, large enough to retain all native biodiversity and showing no signs of human activity.</dd>
            </dl>
            <dl class='sources_row even'>
              <dt>RESOLUTION / SCALE</dt>
  