Evidence map›Paper›PMID 42896957›Full record

ArticleMolecular ecology resources2026

Car-Mounted Airborne eDNA Sampling Detects Landscape Scale Biodiversity Turnover Along Environmental Gradients.

Joshua P Newton, Morten E Allentoft, Philip W Bateman, Simon Ferrier, Philip F Thomsen, Paul Nevill

Abstract read
In one paragraph

Article in Molecular ecology resources, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Joshua P NewtonMBioMe - Mine Site Biomonitoring using eDNA Research Group, Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia, Australia.ORCID https://orcid.org/0000-0002-6269-1789
Morten E AllentoftTrace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia, Australia.ORCID https://orcid.org/0000-0003-4424-3568
Philip W BatemanBehavioural Ecology Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia, Australia.ORCID https://orcid.org/0000-0002-3036-5479
Simon FerrierCSIRO, Canberra, Australian Capital Territory, Australia.
Philip F ThomsenDepartment of Biology, Aarhus University, Aarhus C, Denmark.
Paul NevillMBioMe - Mine Site Biomonitoring using eDNA Research Group, Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia, Australia.ORCID https://orcid.org/0000-0001-8238-0534

Funding

Mineral Resources
6 · The paper itself

Abstract

Documenting accelerating global biodiversity decline requires monitoring tools that can operate across large spatial scales and repeated timeframes. Analysis of airborne environmental DNA (eDNA) is an emerging method used to track species distributions, but it is unknown whether airborne eDNA retains coherent ecological signals across terrestrial landscapes, or whether atmospheric mixing and DNA transport make it too spatially diffuse to resolve meaningful macroecological patterns. To address this question, we conducted a biodiversity survey using car-mounted airborne eDNA sampling along a repeated 1155 km route across south-western Western Australia, spanning the Southwest Australian biodiversity hotspot and adjacent inland regions. This extensive and environmentally heterogeneous region faces ongoing pressures from habitat loss, invasive species and climate change, highlighting the need for scalable biodiversity monitoring approaches. Samples were collected at ~26 km intervals and analysed using metabarcoding assays targeting plants, vertebrates and arthropods, with generalised dissimilarity modelling used to assess environmental drivers of community turnover. We detected a broad range of plants and animals, including species of ecological and biosecurity importance. Different taxonomic groups showed distinct spatial scales of airborne eDNA community similarity and beta diversity was structured primarily by habitat and environmental gradients rather than geographic distance alone. This indicates that airborne eDNA did not simply reflect spatially homogenised biological material but retained ecological structure informative of macroecological patterns. Together, these findings demonstrate that car-mounted airborne eDNA can recover ecologically meaningful patterns of community turnover across heterogeneous terrestrial landscapes and support landscape-scale biodiversity assessment.

Indexed as

BiodiversityDNA, EnvironmentalMetagenomicsAnimalsDNA Barcoding, TaxonomicEcosystemExtrachromosomal DNAPlantsWestern AustraliaDNA, EnvironmentalExtrachromosomal DNAairborne eDNAbioaerosolsbiodiversity hotspotbiodiversity monitoringcommunity turnoverDNA metabarcodinggeneral dissimilarity modellingmobile samplingterrestrial ecosystems

Identifiers

PMID42896957
PMCPMC13680127

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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.