Evidence map›Paper›PMID 33976849›Full record

ArticleEcology and evolution2021

Meta-analysis shows that environmental DNA outperforms traditional surveys, but warrants better reporting standards.

Julija Fediajevaite, Victoria Priestley, Richard Arnold, Vincent Savolainen

Abstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Nine changes needed to deliver a radical transformation in biodiversity measurement.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Julija FediajevaiteDepartment of Life Sciences Imperial College London London UK.
Victoria PriestleyDepartment of Life Sciences Imperial College London London UK.
Richard ArnoldThomson Environmental Consultants Compass House Surrey Research Park Guildford UK.
Vincent SavolainenDepartment of Life Sciences Imperial College London London UK.ORCID https://orcid.org/0000-0001-5350-9984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decades of environmental DNA (eDNA) method application, spanning a wide variety of taxa and habitats, has advanced our understanding of eDNA and underlined its value as a tool for conservation practitioners. The general consensus is that eDNA methods are more accurate and cost-effective than traditional survey methods. However, they are formally approved for just a few species globally (e.g., Bighead Carp, Silver Carp, Great Crested Newt). We conducted a meta-analysis of studies that directly compare eDNA with traditional surveys to evaluate the assertion that eDNA methods are consistently "better."Environmental DNA publications for multiple species or single macro-organism detection were identified using the Web of Science, by searching "eDNA" and "environmental DNA" across papers published between 1970 and 2020. The methods used, focal taxa, habitats surveyed, and quantitative and categorical results were collated and analyzed to determine whether and under what circumstances eDNA outperforms traditional surveys.Results show that eDNA methods are cheaper, more sensitive, and detect more species than traditional methods. This is, however, taxa-dependent, with amphibians having the highest potential for detection by eDNA survey. Perhaps most strikingly, of the 535 papers reviewed just 49 quantified the probability of detection for both eDNA and traditional survey methods and studies were three times more likely to give qualitative statements of performance.

Indexed as

ecological surveyenvironmental DNAmeta‐analysisprobability of detectionspecies detectiontraditional methods

Identifiers

PMID33976849
PMCPMC8093654

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.