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Evaluating the feasibility of using plant‐specific metabarcoding to assess forest types from soil eDNA.

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Title: Evaluating the feasibility of using plant‐specific metabarcoding to assess forest types from soil eDNA.
Authors: Ariza, Maria1 (AUTHOR) mariadelosangelesariza@gmail.com, Engelstad, Mari1 (AUTHOR), Lieungh, Eva1 (AUTHOR), Laux, Marcele1,2 (AUTHOR), Ready, Jonathan3 (AUTHOR), Mauvisseau, Quentin1 (AUTHOR), Halvorsen, Rune1 (AUTHOR), de Boer, Hugo J.1 (AUTHOR)
Source: Applied Vegetation Science. Oct2024, Vol. 27 Issue 4, p1-13. 13p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 181889315
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  Data: Evaluating the feasibility of using plant‐specific metabarcoding to assess forest types from soil eDNA.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Vegetation+Science%22">Applied Vegetation Science</searchLink>. Oct2024, Vol. 27 Issue 4, p1-13. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=181889315
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1111/avsc.12806
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 1
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      – TitleFull: Evaluating the feasibility of using plant‐specific metabarcoding to assess forest types from soil eDNA.
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            NameFull: Ariza, Maria
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            NameFull: Engelstad, Mari
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            NameFull: Lieungh, Eva
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            NameFull: Ready, Jonathan
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            NameFull: Mauvisseau, Quentin
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            – D: 01
              M: 10
              Text: Oct2024
              Type: published
              Y: 2024
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              Value: 27
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              Value: 4
          Titles:
            – TitleFull: Applied Vegetation Science
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