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Optimizing eDNA Metabarcoding Techniques for Assessing Arthropod Communities in Tree‐Related Microha...

Optimizing eDNA Metabarcoding Techniques for Assessing Arthropod Communities in Tree‐Related Microha...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a8cbaffbc8b4c5a8d6aa65995f7fbc2

Optimizing eDNA Metabarcoding Techniques for Assessing Arthropod Communities in Tree‐Related Microhabitats

About this item

Full title

Optimizing eDNA Metabarcoding Techniques for Assessing Arthropod Communities in Tree‐Related Microhabitats

Publisher

Hoboken: John Wiley & Sons, Inc

Journal title

Environmental DNA (Hoboken, N.J.), 2025-01, Vol.7 (1), p.n/a

Language

English

Formats

Publication information

Publisher

Hoboken: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

ABSTRACT
Understanding the diversity and ecological roles of arthropods within tree‐related microhabitats (TreMs) is crucial for forest ecosystem conservation and management. In our study, we aimed to identify the most effective environmental DNA (eDNA) metabarcoding approach for capturing ecologically important arthropod species primarily inhab...

Alternative Titles

Full title

Optimizing eDNA Metabarcoding Techniques for Assessing Arthropod Communities in Tree‐Related Microhabitats

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2a8cbaffbc8b4c5a8d6aa65995f7fbc2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a8cbaffbc8b4c5a8d6aa65995f7fbc2

Other Identifiers

ISSN

2637-4943

E-ISSN

2637-4943

DOI

10.1002/edn3.70064

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