Evidence map›Paper›PMID 40210718›Full record

ArticleScientific reports2025

Acoustic monitoring with miniature drones shows reduced Myotis bat occurrence with altitude and drone movement.

Lauren Dobie, David M Bird, Kyle H Elliott

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

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

3 authors.

Lauren DobieDepartment of Natural Resource Sciences, McGill University, Sainte-Anne-de-Bellevue, Quebec, H9X 2E3, Canada. lauren.dobie@mail.mcgill.ca.
David M BirdDepartment of Natural Resource Sciences, McGill University, Sainte-Anne-de-Bellevue, Quebec, H9X 2E3, Canada.
Kyle H ElliottDepartment of Natural Resource Sciences, McGill University, Sainte-Anne-de-Bellevue, Quebec, H9X 2E3, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our understanding of aeroecology is hampered by the challenge of sampling the air column, especially for nocturnal species like bats that forage high in the airspace. Nonetheless, monitoring endangered bat populations is vital for conservation efforts. Drones (unoccupied aerial vehicles) offer a relatively safe, cost-effective, and non-intrusive option for studying aerial wildlife. Here, we present a method for measuring bat distribution in the airspace using miniature drones (Mavic Mini 3 Pro) that are small enough to have negligible impacts on the bats themselves. We investigate how habitat, drone altitude, and drone movement influence bat sampling efficiency. A hovering drone detected more bats per minute than a moving drone for the EPNO complex (Eptesicus fuscus and Lasionycteris noctivagans) and all bats. Thus, we recommend the use of hovering point counts for surveying bats via drone. The Myotis complex (M. septentrionalis, M. lucifugus, and M. leibii) was more frequently present at lower altitudes over the sampled range (0-60 m). We conclude that bat taxa differentially occupy sectors of the air column, and that bat density in the airspace can be efficiently monitored by miniature drones.

Indexed as

AcousticsAltitudeChiropteraUnmanned Aerial DevicesAnimalsEcosystemAcoustic surveyAeroecologyBatsDronesWildlife monitoring

Identifiers

PMID40210718
PMCPMC11985985

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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.