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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Research@WUR
Dataset . 2025
Data sources: Research@WUR
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Validating Airborne eDNA Using Manual Surveys, Acoustic Monitoring and Camera Traps to Detect Birds and Mammals in an Agroforestry Setting

Authors: Polling, Marcel; Warmer, Femke; Buij, Ralph; Laros, Ivo; Visser, Tim; de Groot, G. Arjen;

Validating Airborne eDNA Using Manual Surveys, Acoustic Monitoring and Camera Traps to Detect Birds and Mammals in an Agroforestry Setting

Abstract

Global loss of biodiversity prioritizes the need for comprehensive and effective biomonitoring methods. Airborne environmentalDNA (eDNA) has shown promise for monitoring terrestrial vertebrates but has not yet been rigorously compared to establishedbiomonitoring methods. In a field-study in the Netherlands, this study aims to compare species detection from airborne eDNAwith manual surveys, camera trapping and acoustic monitoring, focusing on birds and mammals. Monitoring was performedover the course of 4 weeks within an agroforestry ecosystem. Birds were monitored using eDNA, manual surveys and acousticmonitoring, while eDNA and camera trapping were used for mammals. This resulted in four mammal species, detected by bothcamera traps and eDNA, while eDNA identified an additional 16 species, primarily small-bodied, including two invasive species. A total of 74 bird species was detected, with varying degrees of overlap between methods and all three methods detected unique species. All but three bird and four mammal species detected were consistent with known occurrences near the study site. Rarefaction curves show that eDNA has the highest potential species diversity, but manual surveys are most efficient when limited time is available. Unique species can largely be explained by method characteristics or limitations; acoustic monitoring detections are limited to species that make sound, while eDNA requires further research on detection range and sensitivity. Our results indicate that for the studied agroforestry system, acoustic monitoring and airborne eDNA can detect a large proportion of birds and mammals detected by manual surveys, in addition to a range of species undetected by the latter, attesting to their effectiveness as biodiversity monitoring methods. This is the first study to compare airborne eDNA with manual surveys and acoustic data, further confirming the high potential of airborne eDNA for biodiversity monitoring.

Country
Netherlands
Related Organizations
Keywords

Metabarcoding, Airborne eDNA, Biodiversity monitoring

  • BIP!
    Impact byBIP!
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Italian National Biodiversity Future Center