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    <identifier>10.57760/sciencedb.06521</identifier>
    <datestamp>2024-06-11T13:43:14Z</datestamp>
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  <dc:date>2024-06-11</dc:date>
  <dc:title>A dataset of 1km Grid Cultivated Land Fragmentation in China(2020）</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.06521</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Cultivated land fragmentation is a quantitative description of cultivated land fragmentation. Cultivated land fragmentation means that due to natural or human factors, the number of cultivated land patches increases, the size of patches decreases, and the degree of isolation increases, showing a scattered and disorderly pattern. Fragmentation will not only affect the structure and function of the ecosystem, but also be detrimental to improving the utilization efficiency of cultivated land resources and the scale effect of grain production. If land property rights are not considered, the impact of human activities on cultivated land is mainly concentrated on the landscape level, and the landscape pattern index can largely summarize the information of land use pattern and reflect the characteristics of land spatial allocation. Therefore, this data set is based on the grid data of the 2020 annual change survey of the whole country (except Hong Kong, Macao and Taiwan), and three landscape pattern indexes, namely patch density index, separation index and separation index of landscape cultivated land types, are used to characterize the fragmentation characteristics of regional cultivated land, providing spatial decision support for the protection and sustainable utilization of regional cultivated land resources.</dc:description>
  <dc:subject>fragmentation degree; Cultivated Land; landscape pattern; patch density; China</dc:subject>
  <dc:creator>zhang ding xiang</dc:creator>
  <dc:creator>Wang Rongbin</dc:creator>
  <dc:creator>ZHANG Jia</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11922/11-6035.csd.2023.0005.zh.</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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