Recognition software successfully aids the identification of individual small-spotted catsharks Scyliorhinus canicula during their first year of life

Samantha A. Hook; Charlotte McMurray; Daniel M. Ripley; Natasha Allen; Timo Moritz; Bianka Grunow; Holly A. Shiels

doi:10.1111/jfb.14166

Recognition software successfully aids the identification of individual small-spotted catsharks Scyliorhinus canicula during their first year of life

Samantha A. Hook, Charlotte McMurray, Daniel M. Ripley, Natasha Allen, Timo Moritz, Bianka Grunow, Holly A. Shiels

Research output: Contribution to journal › Article › peer-review

Abstract

Eighteen captive small-spotted catsharks Scyliorhinus canicula were successfully identified from hatching to 1 year of age using the free computer recognition software, I³S classic. The effect of increasing the time interval between recognition attempts on the accuracy of the software was investigated, revealing that recognition fiedelity decreases with increasing time intervals for younger (0 to 15 weeks), but not older (15 weeks onwards) sharks. Identification by I³S was validated using genetic analyses of seven microsatellite markers, revealing a 100% success rate. Thus, this non-invasive recognition method can be used as an inexpensive and effective alternative to invasive tagging, improving animal welfare and complementing ex-situ conservation methods.

Original language	English
Journal	Journal of Fish Biology
Early online date	16 Oct 2019
DOIs	https://doi.org/10.1111/jfb.14166
Publication status	Published - 2019

Keywords

captivity
conservation
elasmobranchs
IS
management
microsatellites

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1111/jfb.14166

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title = "Recognition software successfully aids the identification of individual small-spotted catsharks Scyliorhinus canicula during their first year of life",

abstract = "Eighteen captive small-spotted catsharks Scyliorhinus canicula were successfully identified from hatching to 1 year of age using the free computer recognition software, I3S classic. The effect of increasing the time interval between recognition attempts on the accuracy of the software was investigated, revealing that recognition fiedelity decreases with increasing time intervals for younger (0 to 15 weeks), but not older (15 weeks onwards) sharks. Identification by I3S was validated using genetic analyses of seven microsatellite markers, revealing a 100% success rate. Thus, this non-invasive recognition method can be used as an inexpensive and effective alternative to invasive tagging, improving animal welfare and complementing ex-situ conservation methods.",

keywords = "captivity, conservation, elasmobranchs, IS, management, microsatellites",

author = "Hook, {Samantha A.} and Charlotte McMurray and Ripley, {Daniel M.} and Natasha Allen and Timo Moritz and Bianka Grunow and Shiels, {Holly A.}",

year = "2019",

doi = "10.1111/jfb.14166",

language = "English",

journal = "Journal of Fish Biology",

issn = "0022-1112",

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T1 - Recognition software successfully aids the identification of individual small-spotted catsharks Scyliorhinus canicula during their first year of life

AU - Hook, Samantha A.

AU - McMurray, Charlotte

AU - Ripley, Daniel M.

AU - Allen, Natasha

AU - Moritz, Timo

AU - Grunow, Bianka

AU - Shiels, Holly A.

PY - 2019

Y1 - 2019

N2 - Eighteen captive small-spotted catsharks Scyliorhinus canicula were successfully identified from hatching to 1 year of age using the free computer recognition software, I3S classic. The effect of increasing the time interval between recognition attempts on the accuracy of the software was investigated, revealing that recognition fiedelity decreases with increasing time intervals for younger (0 to 15 weeks), but not older (15 weeks onwards) sharks. Identification by I3S was validated using genetic analyses of seven microsatellite markers, revealing a 100% success rate. Thus, this non-invasive recognition method can be used as an inexpensive and effective alternative to invasive tagging, improving animal welfare and complementing ex-situ conservation methods.

AB - Eighteen captive small-spotted catsharks Scyliorhinus canicula were successfully identified from hatching to 1 year of age using the free computer recognition software, I3S classic. The effect of increasing the time interval between recognition attempts on the accuracy of the software was investigated, revealing that recognition fiedelity decreases with increasing time intervals for younger (0 to 15 weeks), but not older (15 weeks onwards) sharks. Identification by I3S was validated using genetic analyses of seven microsatellite markers, revealing a 100% success rate. Thus, this non-invasive recognition method can be used as an inexpensive and effective alternative to invasive tagging, improving animal welfare and complementing ex-situ conservation methods.

KW - captivity

KW - conservation

KW - elasmobranchs

KW - IS

KW - management

KW - microsatellites

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DO - 10.1111/jfb.14166

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SN - 0022-1112

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Recognition software successfully aids the identification of individual small-spotted catsharks Scyliorhinus canicula during their first year of life

Abstract

Keywords

UN SDGs

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