MEPS prepress abstract  -  DOI:

I3S Pattern system as a mark-recapture tool for captured and free-swimming sea turtles: an assessment

Bruna Calmanovici*, David Waayers, Julia Reisser, Julian Clifton, Maira Proietti


ABSTRACT: Identifying individual sea turtles is essential for understanding population dynamics and, in turn, planning conservation efforts. Traditionally, sea turtle individuals are identified through the application of external flipper tags and/or internal Passive Integrated Transponders (PIT). However, sea turtle identification and consequently population studies are hampered by the loss of external flipper tags and migration of PIT. In this study, we assess the accuracy and time efficiency of the Interactive Individual Identification System software (I3S Pattern version 4.02) to photo-identify facial patterns of captured and free-swimming green (Chelonia mydas) and hawksbill (Eretmochelys imbricata) immature turtles. Using a library of 436 photos representing 189 sea turtle individuals, we evaluated the accuracy and time taken for I3S Pattern to match individuals. A high proportion of individuals were successfully identified from photographs taken of captured turtles (97%) and free-swimming turtles (85%). I3S reduced data analysis time by 80% when compared to the visual assessment of photos, and is further optimised when photographs are of increased quality. These results demonstrate that I3S has great potential to contribute to population studies and management plans by facilitating both specialised research and citizen science programmes.