The transformative potential of eDNA-based biodiversity impact assessment

Biodiversity impact assessments aim to enable market actors, regulators, and political agents to effectively steer human activities in a more sustainable direction. However, current biodiversity impact assessments often rely on biased, incomplete, or indirect data. We review the potential of addressing these shortcomings using emerging methods based on environmental DNA (eDNA). The eDNA technologies are developing rapidly, and DNA metabarcoding is now sufficiently mature to allow cost-effective, standardized recording of detailed local biodiversity data. The eDNA data allow computation of a wide range of the essential biodiversity variables, and open data reporting mechanisms are already in place. If companies were required to collect and openly report eDNA data documenting their impact, they could optimize biodiversity outcomes in relation to productivity and other factors in a fast development cycle. Simultaneously, publicly funded research could focus on analyzing the data and successively refining actionable metrics based on fundamental ecological principles. • Overview of shortcomings of current biodiversity assessment tools that can be addressed with eDNA methods. • We review the current and future potential of eDNA in the financial sector. • It is feasible to measure many EBV classes with eDNA methodology. • eDNA data can be collected anywhere in the world and from most taxonomic groups. • We propose a new framework for biodiversity impact assessments using eDNA data.

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Publication Details

Journal
Current Opinion in Environmental Sustainability
Published
2025-03-11
DOI
https://doi.org/10.1016/j.cosust.2025.101517
Citations
10
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
17.16

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article

The transformative potential of eDNA-based biodiversity impact assessment

Fredrik Ronquist, Emma Granqvist, Mats Töpel, Robert M. Goodsell
10 citations
Current Opinion in Environmental Sustainability
Environmental DNA in Biodiversity Studies
17.16
article

The transformative potential of eDNA-based biodiversity impact assessment

Fredrik Ronquist, Emma Granqvist, Mats Töpel, Robert M. Goodsell
article en
10 citations

Abstract

Biodiversity impact assessments aim to enable market actors, regulators, and political agents to effectively steer human activities in a more sustainable direction. However, current biodiversity impact assessments often rely on biased, incomplete, or indirect data. We review the potential of addressing these shortcomings using emerging methods based on environmental DNA (eDNA). The eDNA technologies are developing rapidly, and DNA metabarcoding is now sufficiently mature to allow cost-effective, standardized recording of detailed local biodiversity data. The eDNA data allow computation of a wide range of the essential biodiversity variables, and open data reporting mechanisms are already in place. If companies were required to collect and openly report eDNA data documenting their impact, they could optimize biodiversity outcomes in relation to productivity and other factors in a fast development cycle. Simultaneously, publicly funded research could focus on analyzing the data and successively refining actionable metrics based on fundamental ecological principles. • Overview of shortcomings of current biodiversity assessment tools that can be addressed with eDNA methods. • We review the current and future potential of eDNA in the financial sector. • It is feasible to measure many EBV classes with eDNA methodology. • eDNA data can be collected anywhere in the world and from most taxonomic groups. • We propose a new framework for biodiversity impact assessments using eDNA data.

Current Opinion in Environmental SustainabilityVol. 73
Swedish Museum of Natural History (SE), IVL Swedish Environmental Research Institute (SE)
Stiftelsen för Miljöstrategisk Forskning, Knut och Alice Wallenbergs Stiftelse
Life in Land
Openalex Percentile: Top 1%
Environmental DNA in Biodiversity Studies
17.16
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