Evidence map›Paper›PMID 40688518›Full record

ArticleHardwareX2025

Low-cost, LoRa GNSS tracker for wildlife monitoring.

Adam F Parlin, Ned A Horning, Jason P Alstad, Bradley J Cosentino, James P Gibbs

Abstract read
In one paragraph

Article in HardwareX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Adam F ParlinDepartment of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO, USA.
Ned A HorningWildlife Movement Institute, Savanah, GA, USA.
Jason P AlstadWildlife Movement Institute, Savanah, GA, USA.
Bradley J CosentinoDepartment of Biology, Hobart and William Smith Colleges, Geneva, NY, USA.
James P GibbsDepartment of Environmental Biology, State University of New York College of Environmental Science and Forestry, Syracuse, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of GNSS tracking has allowed researchers to obtain detailed information on animal movement, which informs basic natural history and conservation management decisions. However, many devices are tailored to specific taxa thus limiting broader applicability. We present an open-source LoRaWAN (long range wide area network) GNSS (Global Navigation Satellite System) tracker, and an alternative commercial-off-the-shelf (COTS) development board global positioning system (GPS) tracker, a subset of the GNSS system. The COTS development board tracker provides a pathway for designing and implementing a general purpose LoRaWAN tracking unit, while the advantages of the Wildlife Movement Institute (WMI) tracker permit specific animal tracking and additional information to be collected, such as battery voltage, estimated precision error, and received signal strength intensity. Both units have documentation for setting up a LoRa application and network server and can be easily programmed using the Arduino Integrated Development Environment. To test the utility of these trackers in a LoRa data transmission application, we pilot tested the units on Eastern gray squirrels in Syracuse, New York, USA. Our trackers highlight the capability for customizable, open-source tracking technology that can be tailored to a suite of study organisms allowing researchers to design, develop, and deploy low-cost, specialized wildlife tracking equipment.

Indexed as

Animal movementBiologgingConservationLow powerOpen source

Identifiers

PMID40688518
PMCPMC12273428

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.