I3S Pattern as a mark-recapture tool to identify captured and free-swimming sea turtles: An assessment

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

Research output: Contribution to journalArticle

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 (PITs). However, sea turtle identification and consequently population studies are hampered by the loss of external flipper tags and migration of PITs. In this study, we assessed the accuracy and time efficiency of the Interactive Individual Identification System software (I3S Pattern v. 4.02) to photo-identify facial patterns of immature captured and free-swimming green turtles Chelonia mydas and hawksbill turtles Eretmochelys imbricata. 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.

Original languageEnglish
Pages (from-to)263-268
Number of pages6
JournalMarine Ecology Progress Series
Volume589
DOIs
Publication statusPublished - 23 Feb 2018

Fingerprint

sea turtles
turtle
Eretmochelys imbricata
transponders
Chelonia mydas
turtles
photographs
photograph
data analysis
population dynamics
planning
immatures
sea
conservation planning
software

Cite this

Calmanovici, Bruna ; Waayers, David ; Reisser, Julia ; Clifton, Julian ; Proietti, Maira. / I3S Pattern as a mark-recapture tool to identify captured and free-swimming sea turtles : An assessment. In: Marine Ecology Progress Series. 2018 ; Vol. 589. pp. 263-268.
@article{0675f1a9c1d8426283c117bf4eb9a033,
title = "I3S Pattern as a mark-recapture tool to identify captured and free-swimming sea turtles: An assessment",
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 (PITs). However, sea turtle identification and consequently population studies are hampered by the loss of external flipper tags and migration of PITs. In this study, we assessed the accuracy and time efficiency of the Interactive Individual Identification System software (I3S Pattern v. 4.02) to photo-identify facial patterns of immature captured and free-swimming green turtles Chelonia mydas and hawksbill turtles Eretmochelys imbricata. 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.",
keywords = "Interactive Individual Identification System, Mark?recapture studies, Photo-identification, Sea turtles, Wildlife recognition software",
author = "Bruna Calmanovici and David Waayers and Julia Reisser and Julian Clifton and Maira Proietti",
year = "2018",
month = "2",
day = "23",
doi = "10.3354/meps12483",
language = "English",
volume = "589",
pages = "263--268",
journal = "Marine Ecology - Progress Series",
issn = "0171-8630",
publisher = "Inter-Research",

}

I3S Pattern as a mark-recapture tool to identify captured and free-swimming sea turtles : An assessment. / Calmanovici, Bruna; Waayers, David; Reisser, Julia; Clifton, Julian; Proietti, Maira.

In: Marine Ecology Progress Series, Vol. 589, 23.02.2018, p. 263-268.

Research output: Contribution to journalArticle

TY - JOUR

T1 - I3S Pattern as a mark-recapture tool to identify captured and free-swimming sea turtles

T2 - An assessment

AU - Calmanovici, Bruna

AU - Waayers, David

AU - Reisser, Julia

AU - Clifton, Julian

AU - Proietti, Maira

PY - 2018/2/23

Y1 - 2018/2/23

N2 - 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 (PITs). However, sea turtle identification and consequently population studies are hampered by the loss of external flipper tags and migration of PITs. In this study, we assessed the accuracy and time efficiency of the Interactive Individual Identification System software (I3S Pattern v. 4.02) to photo-identify facial patterns of immature captured and free-swimming green turtles Chelonia mydas and hawksbill turtles Eretmochelys imbricata. 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.

AB - 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 (PITs). However, sea turtle identification and consequently population studies are hampered by the loss of external flipper tags and migration of PITs. In this study, we assessed the accuracy and time efficiency of the Interactive Individual Identification System software (I3S Pattern v. 4.02) to photo-identify facial patterns of immature captured and free-swimming green turtles Chelonia mydas and hawksbill turtles Eretmochelys imbricata. 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.

KW - Interactive Individual Identification System

KW - Mark?recapture studies

KW - Photo-identification

KW - Sea turtles

KW - Wildlife recognition software

UR - http://www.scopus.com/inward/record.url?scp=85042647205&partnerID=8YFLogxK

U2 - 10.3354/meps12483

DO - 10.3354/meps12483

M3 - Article

VL - 589

SP - 263

EP - 268

JO - Marine Ecology - Progress Series

JF - Marine Ecology - Progress Series

SN - 0171-8630

ER -