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The supplement material of 'Could land abandonment with human intervention benefit cropland restoration? From the perspective of soil microbiota'

Guangyu Li


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  <identifier identifierType="DOI">10.5281/zenodo.5516762</identifier>
  <creators>
    <creator>
      <creatorName>Guangyu Li</creatorName>
      <affiliation>Institute of Land and Urban-rural Development, Zhejiang University of Finance and Economics</affiliation>
    </creator>
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  <titles>
    <title>The supplement material of 'Could land abandonment with human intervention benefit cropland restoration? From the perspective of soil microbiota'</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-09-20</date>
  </dates>
  <resourceType resourceTypeGeneral="Image">Figure</resourceType>
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    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Figure S1 The study area and experimental plots.&amp;nbsp;Figure S2 The correlation analysis of soil properties in each year, based on Spearman&amp;rsquo;s Rank correlation analysis. Only significant Spearman&amp;rsquo;s coefficients are shown (p &amp;lt; 0.05).&amp;nbsp;Figure S3 Mantel test between soil properties and microbial community structure. *, ** and *** are used to show statistical significance at the 0.05, 0.01, and 0.001 level, respectively.&amp;nbsp;Figure S4 The results of linear discriminant analysis effect size (LEfSe) on bacterial and fungal communities. The cutoff of LDA score is 2.&amp;nbsp;Figure S5 The relative importance ranks of edaphic and human factors on microbial communities, based on %IncMSE of random forests model.&lt;/p&gt;</description>
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