Utility of carapace images for long-term photographic identification of nesting green turtles

Tabuki, Kohei; Nishizawa, Hideaki; Abe, Osamu; Okuyama, Junichi; Tanizaki, Shigeo

doi:10.1016/j.jembe.2021.151632

Cited by 5 publications

(4 citation statements)

References 29 publications

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“…We believe this is the first evaluation of whether using differing numbers of scales affects identification accuracy. Our findings could be utilized in other photo ID tools that require less manipulation, such as Hotspotter (Tabuki et al, 2021).…”

Section: Discussionmentioning

confidence: 94%

“…A high number of sea turtle monitoring projects take place on nesting beaches, whereby researchers collect measurements from nesting females (Mazaris et al, 2017;Phillips et al, 2021). This provides an opportunity to take photographs of the flipper, which may decrease the disturbance turtles experience whilst taking photographs of the head (Waayers et al, 2006;Tabuki et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

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Photo identification for sea turtles: Flipper scales more accurate than head scales using APHIS

Mills

Rotger

Brooks

et al. 2023

Journal of Experimental Marine Biology and Ecology

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Section: Discussionmentioning

confidence: 94%

Section: Discussionmentioning

confidence: 99%

Photo identification for sea turtles: Flipper scales more accurate than head scales using APHIS

Mills

Rotger

Brooks

et al. 2023

Journal of Experimental Marine Biology and Ecology

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“…Photographic-identification (photo-ID) is a cost-effective and non-invasive CMR technique that relies on comparing natural marks on individuals using photographs (Schofield et al 2008 ). For sea turtles, photo-ID compares unique patterns of facial scales on the sides of the head (Carter et al 2014 ; Dunbar et al 2014 ; Araujo et al 2016 ; Calmanovici et al 2018 ), dorsal scales of the head (Dunbar et al 2014 ), flippers scales (Gatto et al 2018 ) or carapace images (Tabuki et al 2021 ). These marks remain stable over the years, making them a great long-term identification tool (Carpentier et al 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Photo-identification shows the spatio-temporal distribution of two sea turtle species in a Brazilian developmental foraging ground

2023

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Sea turtles spend most of their life cycle in foraging grounds. Research in developmental habitats is crucial to understanding individual dynamics and to support conservation strategies. One approach to gather information in foraging grounds is the use of cost-effective and non-invasive techniques that allow public participation. The present study aimed to use photographic-identification (photo-ID) to investigate the spatio-temporal distribution of Chelonia mydas and Eretmochelys imbricata . Furthermore, we describe fibropapillomatosis occurrence. This work was carried out at subtropical rocky reefs of the Brazilian coast in Arraial do Cabo (22°57ʹS, 42°01ʹW), within a sustainable conservation unit. A total of 641 images were obtained through social media screening (n = 447), citizen science (n = 168), or intentional capture (n = 26) dated between 2006 and 2021. Additionally, 19 diving forms (between 2019 and 2021) were received from citizen scientists. All diving forms presented at least one turtle. Photo-ID identified 174 individuals of C. mydas , with 45 being resighted, while E. imbricata had 32 individuals, with 7 individuals resighted. The median interval between the first and last individual sighting was 1.7 years for C. mydas and 2.4 years for E. imbricata . Fibropapillomatosis was only observed in C. mydas , with a prevalence of 13.99% (20 of 143 individuals) and regression in 2 individuals (10.00%). Our results indicated that Arraial do Cabo is an important development area with individuals residing for at least 6 years. This study demonstrated that social media, along with photo-ID, can be useful to provide sea turtle estimates in a foraging ground using a non-invasive, low-cost method. Supplementary Information The online version contains supplementary material available at 10.1007/s00227-023-04226-z.

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“…Hotspotter was developed from the SIFT and Local Naive Bayes Nearest Neighbor (LNBNN) algorithms. It has also shown high reliability in fishes (Crall et al, 2013), mollusks (Barord et al, 2014), insects (Quinby, Creighton & Flaherty, 2021), reptiles (Dunbar et al, 2021 ;Tabuki et al, 2021) and mammals (Crall et al, 2013 ;Lea et al, 2018 ;Nipko, Holcombe & Kelly, 2020). Not all individually identifiable patterns, however, are stable over time.…”

Section: Introductionmentioning

confidence: 99%

Rapid colour changes in a tiny threatened gecko do not impede computer-assisted individual recognition

Monnet

Dokhelar

Renet

2022

Preprint

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Photo-identification is a non-invasive method used for recognising wild animals with distinctive and stable patterns over time. This method is now widely used for capture-recapture wildlife monitoring. However, in species exhibiting rapid colouration changes, the evolving body patterns can lead to errors in individual recognition. In this study, we assessed the effect of dorsal physiological colour change of the tiny threatened European leaf-toed gecko (Euleptes europaea) on the performance of Wild-ID and Hotspotter, the two most commonly used individual recognition software for wildlife monitoring. We exposed 30 European leaf-toed geckos to several semi-controlled parameters (substrate type, temperature and light from natural diurnal/nocturnal cycles) in order to characterise the extent of variation in dorsal colouration, by standardised reflectance measurements. The colour of the substrate had a significant effect on individual reflectance changes. Body temperature also seemed to significantly affect the reflectance but the experimental conditions did not allow us to clearly distinguish the effect of temperature and light. For each of the 30 geckos, four photographic databases (n = 4*280) were then analysed by both software packages, under two extreme reflectance conditions. Despite the large changes in individual reflectance, Wild-ID and Hotspotter proved to be extremely reliable with a 100% recognition rate. The analysis of similarity scores suggests that Hotspotter is less sensitive to chromatic variation than Wild-ID. We provide here the first evidence that physiological colour change is not a barrier to computer-assisted individual recognition. This study advocates the use of Hotspotter for monitoring populations of European leaf-toed geckos and other saurians that generate significant colouration change over a short time.

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Utility of carapace images for long-term photographic identification of nesting green turtles

Cited by 5 publications

References 29 publications

Photo identification for sea turtles: Flipper scales more accurate than head scales using APHIS

Photo identification for sea turtles: Flipper scales more accurate than head scales using APHIS

Photo-identification shows the spatio-temporal distribution of two sea turtle species in a Brazilian developmental foraging ground

Rapid colour changes in a tiny threatened gecko do not impede computer-assisted individual recognition

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