Evidence map›Paper›PMID 40713910›Full record

ArticleMovement ecology2025

Refining population density estimation from track counts: improving daily travel distance estimates through trailing of large herbivores in the Kalahari, Botswana.

Marie-Charlotte Gielen, Alessandro Araldi, Marie Jardeaux, Seitshiro Pule, Senxwai Mosololo, Xee Fire Seganaphohu, Duela Seganaphofu, Tebelelo Gabaikanye, Pogiso Ithuteng, Derek Keeping and 1 more

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In one paragraph

Article in Movement ecology, 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

11 authors.

Marie-Charlotte Gielen *Earth and Life Institute, Université Catholique de Louvain, Louvain-la-Neuve, Belgium. marie-charlotte.gielen@uclouvain.be.ORCID http://orcid.org/0000-0003-4500-5465
Alessandro Araldi *Research Department, Leopard Ecology & Conservation, Gaborone, Botswana.ORCID http://orcid.org/0009-0000-4731-8401
Marie JardeauxEarth and Life Institute, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.
Seitshiro PuleResearch Department, Leopard Ecology & Conservation, Gaborone, Botswana.
Senxwai MosololoResearch Department, Leopard Ecology & Conservation, Gaborone, Botswana.
Xee Fire SeganaphohuResearch Department, Leopard Ecology & Conservation, Gaborone, Botswana.
Duela SeganaphofuResearch Department, Leopard Ecology & Conservation, Gaborone, Botswana.
Tebelelo GabaikanyeResearch Department, Leopard Ecology & Conservation, Gaborone, Botswana.
Pogiso IthutengResearch Department, Leopard Ecology & Conservation, Gaborone, Botswana.
Derek KeepingOkavango Research Institute, University of Botswana, Maun, Botswana.ORCID http://orcid.org/0000-0001-5050-2226
Nicolas SchtickzelleEarth and Life Institute, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.ORCID http://orcid.org/0000-0001-7829-5361

Funding

Fonds de la Recherche Scientifique - FNRS, Belgium CDR J.0184.20
6 · The paper itself

Abstract

backgroundAnimal track surveys can enable rapid population monitoring for conservation, contingent on a suitable substrate and highly skilled trackers. The Formozov-Malyshev-Pereleshin (FMP) formula converts track counts along transects into absolute population density estimates, using the species' average daily travel distance estimate (

methodsWe tested a cost-effective forward trailing technique to collect high-quality empirical

resultsThrough trailing, we provided empirical

conclusionOur research demonstrates the effectiveness of the forward trailing technique for accurately estimating

Indexed as

CyberTrackerDaily movementsFormozov–Malyshev–Pereleshin formulaIndigenous knowledgeTrack surveyWildlife abundance

Identifiers

PMID40713910
PMCPMC12297769

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LicenceCC BY-NC-ND
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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.