4.5 Article

Environmental DNA-Based Methods in Biodiversity Monitoring of Protected Areas: Application Range, Limitations, and Needs

Journal

DIVERSITY-BASEL
Volume 14, Issue 6, Pages -

Publisher

MDPI
DOI: 10.3390/d14060463

Keywords

eDNA; eDNA metabarcoding; biodiversity assessment; nature conservation; protected area management

Funding

  1. KWF/EFRE
  2. KWF [16048-31819-45776]
  3. COIN FFG (Osterreichische Forschungsforderungsgesellschaft) [884138]

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Novel methods for species detection based on collection of environmental DNA have great potential in biodiversity assessment and conservation practice, offering precise and rapid species identification. These methods could serve as supplement or even substitutes for conventional monitoring methods used in protected areas.
Novel methods for species detection based on collection of environmental DNA (eDNA) are not only important in biodiversity assessment in a scientific context, but are also increasingly being applied in conservation practice. The eDNA-based biodiversity detection methods have significant potential for regular use in biodiversity status assessments and conservation actions in protected areas (PAs) and other effective area-based conservation measures (OECMs) worldwide. Species detection based on DNA from environmental samples, such as water, sediment, soil, air, or organic material, has a broad application scope with precise, comprehensive, and rapid species identification. Here, we provide an overview of the application range of eDNA-based methods for biodiversity monitoring in PAs, evaluate environmental assessments in which this technology has already been implemented for nature conservation, and examine the challenges that can hamper further application in real world practice. Based on the outcomes of two projects, practical experience, and current scientific literature focusing on their application, we conclude that eDNA-based species detection methods provide promising novel approaches that have strong potential as supplement methods, or in some cases even as substitutes for the conventional monitoring methods used for PAs. This advancement is expected to affect decision-making in biodiversity conservation efforts in PAs and OECMs.

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