anchor.diff:  
   <p>Changes in the extent of IFLs were identified by contrasting the map for 2013 with the analogous map for 2000, adjusted for consistency. Areas identified as “reduction in extent” met the IFL criteria in 2000, but no longer met the criteria in 2013. The main causes of change were industrial activity such as logging and mining, and fragmentation due to infrastructure and new roads, and fires assumed to be caused by humans.</p>
   
  -<p>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
  +<p>This data can be used to assess forest intactness, alteration, and degradation at global and regional scales. More information about the data set 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 reduction in extent from 2000-2013. Accessed through Global Forest Watch on Sept. 4th. <a href='www.globalforestwatch.org' target='_blank'></p>
  
positive.code:           </dl>
            <dl class='sources_row'>
              <dt>Cautions</dt>
              <dd><p>Results were validated using existing distribution data and published literature.</p><p>Note that small patches (< 900-2,700 sq-m) of mangrove forests cannot be identified using this approach. This methodological approach had a number of challenges, such as cloud cover and noise. There may also be areas where land cover was misclassified.</p><p>As the dataset may still contain overlapping polygons, a dissolve operation (within a GIS) might be needed before surface area calculations are carried out.</p></dd>
            </dl>
          </div>
  
  
negative.code:           <h3 class='overview_title'>Overview</h3>
            <p>To improve scientific understanding of the extent and distribution of mangrove forests of the world ihe status and distribution of global mangroves were mapped using recently available Global Land Survey (GLS) data and the Landsat archive.The project interpreted approximately 1000 Landsat scenes using hybrid supervised and unsupervised digital image classification techniques. Results were validated using existing GIS data and the published literature to map ‘true mangroves’.</p>
            <p>The total area of mangroves in the year 2000 was 137,760 km2 in 118 countries and territories in the tropical and subtropical regions of the world. Approximately 75% of world's mangroves are found in just 15 countries, and only 6.9% are protected under the existing protected areas network (IUCN I-IV). Our study confirms earlier findings that the biogeographic distribution of mangroves is generally confined to the tropical and subtropical regions and the largest percentage of mangroves is found between 5° N and 5° S latitude.</p>
            <p>The remaining area of mangrove forest in the world is less than previously thought; the estimate provided in this study is 12.3% smaller than the most recent estimate by the Food and Agriculture Organization (FAO) of the United Nations. This data set presents the most comprehensive, globally consistent and highest resolution (30 m) global mangrove database ever created</p>
  
            <p class='credits'><strong>Citation:</strong> Giri C, Ochieng E, Tieszen LL, Zhu Z, Singh A, Loveland T, Masek J, Duke N (2011). Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecology and Biogeography 20: 154-159.</p>
  
  