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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>James D. Wickham</dc:contributor>
  <dc:contributor>James Vogelmann</dc:contributor>
  <dc:contributor>K. Bruce Jones</dc:contributor>
  <dc:creator>Kurt H. Riitters</dc:creator>
  <dc:date>2000</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;Land cover and its spatial patterns are key ingredients in ecological studies that consider large regions and the impacts of human activities. Because land-cover maps show only cover types and their locations, further processing is needed to extract pattern information and to characterize its spatial variability. We are producing a nationally consistent spatial database of six land-cover pattern indices: forest area density, forest connectivity, the&amp;nbsp;&lt;/span&gt;&lt;i&gt;U&lt;/i&gt;&lt;span&gt;&amp;nbsp;index (a measure of general land-use pressure by humans), land-cover connectivity, land-cover diversity, and landscape pattern types. We use the land-cover maps produced by the Multi-resolution Land Characteristics Consortium for the conterminous United States at 30-m resolution. The goal of this paper is to encourage use of the pattern data as: contextual information and independent variables for studies involving a set of field sites; indicators of landscape conditions for ecological assessments; and dependent variables in biogeographic and socioeconomic models. The new maps will be most useful in studies that require consistent and comparable land-cover pattern measurements over large regions and can be combined with the original land-cover maps and other data.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1890/0012-9658(2000)081[0604:NLCPD]2.0.CO;2</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Ecological Society of America</dc:publisher>
  <dc:title>National land-cover pattern data</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>