Evidence map›Paper›PMID 41615992›Full record

ArticlePloS one2026

Placing anurans in water can improve photo-based individual identification.

Edina Nemesházi, Zsanett Mikó, Nikolett Ujhegyi, Andrea Kásler, Nadine Lehofer, Veronika Bókony

Abstract read
In one paragraph

Article in PloS one, 2026. 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. 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

6 authors.

Edina NemesháziKonrad Lorenz Institute of Ethology, Department of Interdisciplinary Life Sciences, University of Veterinary Medicine, Savoyenstrasse 1a, Vienna, Austria.ORCID https://orcid.org/0000-0002-0179-1153
Zsanett MikóDepartment of Evolutionary Ecology, Plant Protection Institute, HUN-REN Centre for Agricultural Research, Nagykovácsi út 26-30, Budapest, Hungary.
Nikolett UjhegyiDepartment of Evolutionary Ecology, Plant Protection Institute, HUN-REN Centre for Agricultural Research, Nagykovácsi út 26-30, Budapest, Hungary.ORCID https://orcid.org/0000-0001-9610-0353
Andrea KáslerDepartment of Evolutionary Ecology, Plant Protection Institute, HUN-REN Centre for Agricultural Research, Nagykovácsi út 26-30, Budapest, Hungary.ORCID https://orcid.org/0000-0003-2075-0776
Nadine LehoferKonrad Lorenz Institute of Ethology, Department of Interdisciplinary Life Sciences, University of Veterinary Medicine, Savoyenstrasse 1a, Vienna, Austria.ORCID https://orcid.org/0009-0001-3433-9171
Veronika BókonyDepartment of Evolutionary Ecology, Plant Protection Institute, HUN-REN Centre for Agricultural Research, Nagykovácsi út 26-30, Budapest, Hungary.ORCID https://orcid.org/0000-0002-2136-5346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of individuals across time and space is required for investigating numerous evolutionary-ecology and conservation-related questions, and photo-based identification is commonly used for a broad taxonomic range. Success of available photo-matching software may greatly depend on image quality as well as the focal body parts. We tested the hypotheses that individual identification by colour patterns can be facilitated by taking into account the natural medium surrounding the animals and the natural body posture they tend to take. We optimised photography methods enabling individual identification by whole-body assessment of agile frogs (Rana dalmatina), and compared the reliability of those photography methods for computer-assisted identification in the HotSpotter software as well as for observers operating it. We found that photographing either hand-restrained frogs with towel-dried skin, or frogs moving freely in clean water enabled comparison of the dorsal surface of the whole body including the hind legs, and HotSpotter identified matching images at rates similar to those anuran studies that reported high success before. Specifically, the true match ranked in the top 10 for >92% of photographs taken with the above methods. By contrast, submerging hand-restrained frogs in water significantly improved identification: images of the same individual were always ranked as the most likely match. We attribute this outstanding performance to the combination of advantageous effects of in-water light refractions that improve the visibility of pigment patterns, and uniform body postures facilitating comparison across individuals. Observers in general successfully identified matching images and ruled out non-matching ones, but some mistakes were recorded when images featured freely moving frogs. The photography methods described in this study should be easily adapted to most frog and toad species for reliable individual identification. Our study highlights that taking into account features of the natural environment of the studied species can improve individual identification by photographs.

Indexed as

Animal Identification SystemsAnuraPhotographyWaterAnimalsImage Processing, Computer-AssistedSoftwareWater

Identifiers

PMID41615992
PMCPMC12857928

What OpenQuestion holds

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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.