Evidence map›Paper›PMID 38660598›Full record

ArticleRoyal Society open science2024

A simple and fast method for estimating bat roost locations.

Lucy Henley, Domhnall Finch, Fiona Mathews, Owen Jones, Thomas E Woolley

Abstract read
In one paragraph

Article in Royal Society open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Lucy HenleyCardiff School of Mathematics, Cardiff University, Cardiff CF24 4AG, UK.
Domhnall FinchUniversity of Sussex, John Maynard Smith Building, Brighton BN1 9RH, UK.
Fiona MathewsUniversity of Sussex, John Maynard Smith Building, Brighton BN1 9RH, UK.
Owen JonesCardiff School of Mathematics, Cardiff University, Cardiff CF24 4AG, UK.
Thomas E WoolleyCardiff School of Mathematics, Cardiff University, Cardiff CF24 4AG, UK.ORCID https://orcid.org/0000-0001-6225-5365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bats play a pivotal role in pest control, pollination and seed dispersal. Despite their ecological significance, locating bat roosts remains a challenging task for ecologists. Traditional field surveys are time-consuming, expensive and may disturb sensitive bat populations. In this article, we combine data from static audio detectors with a bat movement model to facilitate the detection of bat roosts. Crucially, our technique not only provides a point prediction for the most likely location of a bat roost, but because of the algorithm's speed, it can be applied over an entire landscape, resulting in a likelihood map, which provides optimal searching regions. To illustrate the success of the algorithm and highlight limitations, we apply our technique to greater horseshoe bat (

Indexed as

bat movementdiffusionecologypartial differential equation modelroost finding

Identifiers

PMID38660598
PMCPMC11040240

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.