NDLI: A newt does not change its spots: using pattern mapping for the identification of individuals in large populations of newt species

Content Provider	Springer Nature Link
Author	Mettouris, Oufrios Megremis, George Giokas, Sis
Copyright Year	2016
Abstract	The correct identification of individuals is a requirement of capture-mark-recapture (CMR) methods, and it is commonly achieved by applying artificial marks or by mutilation of study-animals. An alternative, non-invasive method to identify individuals is to utilize the patterns of their natural body markings. However, the use of pattern mapping is not yet widespread, mainly because it is considered time consuming, particularly in large populations and/or long-term CMR studies. Here we explore the use of pattern mapping for the identification of adult individuals in the alpine (Ichthyosaura alpestris) and smooth (Lissotriton vulgaris) newts (Amphibia, Salamandridae), using the freely available, open-source software Wild-ID. Our photographic datasets comprised nearly 4000 captured animals’ images, taken during a 3-year period. The spot patterns of individual newts of both species did not change through time, and were sufficiently varied to allow their individual identification, even in the larger datasets. The pattern-recognition algorithm of Wild-ID was highly successful in identifying individual newts in both species. Our findings indicate that pattern mapping can be successfully employed for the identification of individuals in large populations of a broad range of animals that exhibit natural markings. The significance of pattern-mapping is accentuated in CMR studies that aim in obtaining long-term information on the demography and population dynamics of species of conservation interest, such as many amphibians facing population declines.
Starting Page	483
Ending Page	489
Page Count	7
File Format	PDF
ISSN	09123814
Journal	Ecological Research
Volume Number	31
Issue Number	3
e-ISSN	14401703
Language	English
Publisher	Springer Japan
Publisher Date	2016-02-27
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Photo capture-mark-recapture Computer-assisted photo-identification Non-invasive individual identification Photo-id Wild-ID Ecology Plant Sciences Zoology Evolutionary Biology Behavioral Sciences Forestry
Content Type	Text
Resource Type	Article
Subject	Ecology, Evolution, Behavior and Systematics

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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