Evidence map›Paper›PMID 39959889›Full record

ArticleMethodsX2024

Unveiling hidden aspects of GPS deployment on wildlife: A multistep and transdisciplinary approach to urban wild boar monitoring.

Carole Marin, Laurent Couderchet

Abstract read
In one paragraph

Article in MethodsX, 2024. 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

2 authors.

Carole MarinCentre National de la Recherche Scientifique (CNRS), Laboratoire Passages CNRS 5319, Maison des Suds, Esplanade des Antilles 33600 Pessac, France.
Laurent CouderchetUniversité Bordeaux Montaigne, Laboratoire Passages CNRS 5319, Maison des Suds, Esplanade des Antilles 33600 Pessac, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies of free-ranging wildlife often involve individual tracking by sequentially recording animals' positions over a continuous and extended period. Automatic, programmable, operational continuously, and user-friendly thanks to the development of intuitive software, GPS (Global Positioning System) enable the acquisition of large quantities of data, day and night, regardless of field and weather conditions, while allowing for levels of spatial and temporal resolution in the location data never before achieved in wildlife tracking studies. However, GPS collars deployment on wild fauna does not directly translate into scientific outcomes. This article delves into the hidden aspects of telemetry programs, offering a reflective account of our transdisciplinary experience (between researchers and wildlife managers) in GPS tracking of urban wild boar. The described protocol and its discussion aim to outline the necessary conditions to benefit from GPS programs. The program first requires a common construction of the protocol, which meets the objectives of each partner. Second, raw data collection and transformation into information involve four steps. Finally, both technical and human-related dimensions are to be anticipated and considered for further analyses.•Transdisciplinary research requires a common construction of the protocol in line with the research question.•Technical constraints and negotiations between partners need to be considered.•Multiple steps are required to leverage the scientific advantages of the monitoring.

Indexed as

Capture-mark-recaptureGPS trackingGPS tracking and capture-mark-recapture of urban wild boarHuman-related dimensionsTechnical constraintsTransdisciplinaryUrban wild boar

Identifiers

PMID39959889
PMCPMC11829123

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.