Safe, Simple, and Rapid: A Minimally Invasive Coding Technique for Identifying Individuals of the Endangered Mongolian Racerunner ( <i>Eremias argus</i> )

) based on coding dorsal spot patterns. We documented 175 individuals using photographic data and assigned unique identification codes derived from two central longitudinal spot lines and overlapping spots, which capture individual-specific traits. No individuals were found to share identical codes during identification. Recaptured individuals showed stable spot patterns without any code changes, confirming the method's reliability for long-term monitoring. This approach requires only standard cameras or smartphones and is thus practical for field surveys and citizen science initiatives. The proposed method minimizes impacts on target species while maintaining high accuracy, offering a valuable alternative for ethical conservation and population studies.

Authors

Institutions

Publication Details

Journal
Ecology and Evolution
Published
2026-04-01
DOI
https://doi.org/10.1002/ece3.73438
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Safe, Simple, and Rapid: A Minimally Invasive Coding Technique for Identifying Individuals of the Endangered Mongolian Racerunner ( Eremias argus )

S. Kim, Min Ho Chang, Jae Young Song, Kyo Soung Koo
Ecology and Evolution
Wildlife Ecology and Conservation
article

Safe, Simple, and Rapid: A Minimally Invasive Coding Technique for Identifying Individuals of the Endangered Mongolian Racerunner ( Eremias argus )

S. Kim, Min Ho Chang, Jae Young Song, Kyo Soung Koo
article en

Abstract

) based on coding dorsal spot patterns. We documented 175 individuals using photographic data and assigned unique identification codes derived from two central longitudinal spot lines and overlapping spots, which capture individual-specific traits. No individuals were found to share identical codes during identification. Recaptured individuals showed stable spot patterns without any code changes, confirming the method's reliability for long-term monitoring. This approach requires only standard cameras or smartphones and is thus practical for field surveys and citizen science initiatives. The proposed method minimizes impacts on target species while maintaining high accuracy, offering a valuable alternative for ethical conservation and population studies.

Ecology and EvolutionVol. 16(4)
National Park Service (US), National Institute of Ecology (IN), National Institute of Ecology (KR), National Pension Service (KR), Sejong Institute (KR), National Forensic Institute (KR)
Ewha Womans University, National Park Service
Life in Land
Openalex Percentile: Top 24%
Wildlife Ecology and Conservation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.