Evidence map›Paper›PMID 41463822›Full record

ArticleAnimals : an open access journal from MDPI2025

Between the Trees: Quantifying Koala Ground Movement for Conservation Action.

Gabriella R Sparkes, Oakleigh Wilson, William A Ellis, Sean I FitzGibbon, Benjamin J Barth, Christofer J Clemente, Mathew S Crowther, Robbie S Wilson

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. 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

8 authors.

Gabriella R SparkesSchool of the Environment, University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-5066-170X
Oakleigh WilsonSchool of Science, Technology and Engineering, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia.ORCID 0009-0004-9082-3664
William A EllisSchool of the Environment, University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0001-6017-4692
Sean I FitzGibbonSchool of the Environment, University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-2709-5738
Benjamin J BarthSchool of the Environment, University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-3211-5828
Christofer J ClementeSchool of Science, Technology and Engineering, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia.ORCID 0000-0001-8174-3890
Mathew S CrowtherSchool of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0001-8968-1161
Robbie S WilsonSchool of the Environment, University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-0116-5427

Funding

Holsworth Wildlife Research Endowment Fund NAQueensland State Government N/A
6 · The paper itself

Abstract

Koalas are an iconic Australian species now classified as nationally endangered due to habitat loss, predation, disease, and vehicle collisions. Yet, because of their nocturnal and arboreal nature, koala movement on the ground between trees remains poorly described. Ground visits are fraught with danger, with two-thirds of koala deaths occurring due to vehicle strikes and dog attacks. Quantifying these behaviours can provide insights for conservation efforts targeted to their time on the ground. To quantify detailed movement patterns, we collared nine koalas in a highly fragmented agricultural landscape with tri-axial accelerometers for 8.50 ± 1.17 days. Using an annotated dataset of observed behaviours, we trained Random Forest models to classify four main behavioural states:

Indexed as

accelerometrybehavioural ecologykoala conservationmachine learningmovement ecology

Identifiers

PMID41463822
PMCPMC12729488

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.