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Computer‐aided photo‐identification of a rare stingray, Megatrygon microps
Author(s) -
Keeping Jennifer A.,
ReeveArnold Katie E.,
Burns Neil M.,
Catariilza,
Bailey David M.,
McNeill Deborah C.
Publication year - 2020
Publication title -
journal of fish biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 115
eISSN - 1095-8649
pISSN - 0022-1112
DOI - 10.1111/jfb.14242
Subject(s) - identification (biology) , biology , matching (statistics) , dorsum , software , population , protocol (science) , computer science , ecology , statistics , demography , anatomy , pathology , medicine , mathematics , alternative medicine , sociology , programming language
A protocol for photo‐identification of individual Megatrygon microps has been defined. One hundred and four identification photographs were taken between 2005 and 2019. Spot patterns on the dorsal surface were used to identify individuals. Unique scarring on eight M. microps re‐observed provided an independent confirmation of pattern stability of up to 761 days. Previous studies lacked statistical testing used to validate this photo‐identification approach. I 3 S photo‐matching software was used to successfully match images, identifying 69 individuals. A photo‐matching software facilitates an open‐source platform for identifying individual M. microps , allowing for better population assessments.