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Photo-based individual identification is more reliable than visible implant elastomer tags or toe-tipping in young agile frogs.

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Title: Photo-based individual identification is more reliable than visible implant elastomer tags or toe-tipping in young agile frogs.
Authors: Nemesházi E; Konrad Lorenz Institute of Ethology, Department of Interdisciplinary Life Sciences, University of Veterinary Medicine Vienna, Vienna, Austria., Ujhegyi N; Department of Evolutionary Ecology, Plant Protection Institute, HUN-REN Centre for Agricultural Research, Budapest, Hungary.; Department of Wildlife Biology and Management, Institute for Wildlife Management and Nature Conservation, Hungarian University of Agriculture and Life Sciences, Gödöllő, Hungary., Mikó Z; Department of Evolutionary Ecology, Plant Protection Institute, HUN-REN Centre for Agricultural Research, Budapest, Hungary.; Department of Systematic Zoology and Ecology, ELTE Eötvös Loránd University, Budapest, Hungary., Kásler A; Department of Evolutionary Ecology, Plant Protection Institute, HUN-REN Centre for Agricultural Research, Budapest, Hungary.; Department of Systematic Zoology and Ecology, ELTE Eötvös Loránd University, Budapest, Hungary.; Doctoral School of Biology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary., Lente V; Department of Freshwater Fish Ecology, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Gödöllő, Hungary., Bókony V; Department of Evolutionary Ecology, Plant Protection Institute, HUN-REN Centre for Agricultural Research, Budapest, Hungary.
Source: PloS one [PLoS One] 2026 Feb 10; Vol. 21 (2), pp. e0342340. Date of Electronic Publication: 2026 Feb 10 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0342340