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29 results for “Eretmochelys imbricata”
Figure 1. a in Destination Revealed: Post-Nesting Migrations of Hawksbill Turtles (Eretmochelys imbricata) from Moso Island, Republic of Vanuatu
Figure 1. a. Post-nesting migration of Lucy (164957-yellow line), Teslaba (164949) and Pansiko (164950) from Moso Island, Republic of Vanuatu to the region of the Great Barrier Reef, Queensland, Australia. b. Post-nesting migration of Ethana (164948), Launmakala (713459), Pua Lilia (704626A-yellow line) and Tassiriki (713458) from Moso Island, Republic of Vanuatu to New Caledonia and Aneityum Island, Republic of Vanuatu.
Figure 4. a in Destination Revealed: Post-Nesting Migrations of Hawksbill Turtles (Eretmochelys imbricata) from Moso Island, Republic of Vanuatu
Figure 4. a. Example of typical diel movement of Launmakala in her forage grounds showing period of near zero nocturnal movement indicating resting behavior and periods of positive diurnal movement indicating swimming and foraging behavior. b. Example of typical diel movement of Tassiriki in her forage grounds showing periods of near zero nocturnal movement indicating resting behavior and periods of positive diurnal movement indicating swimming and foraging behavior.
Figure 3. a in Destination Revealed: Post-Nesting Migrations of Hawksbill Turtles (Eretmochelys imbricata) from Moso Island, Republic of Vanuatu
Figure 3. a. Internesting movements of Pua Lilia (704626A) between January 10, 2019 and March 7, 2019 off Moso Island, Republic of Vanuatu. The 95% KUD (light yellow) = 1.2 km2 and the 50% KUD (dark yellow) = 0.04 km2. b. The sum of the minimum distance moved between consecutive location fixes for Pua Lilia. The increased slope of the distances indicates increased swimming activity and correlates in each case with the time before and after the suspected nesting dates. c. Internesting tracks and KUD for Tassiriki (713458) from January 8, 2020 to February 8, 2020. The 95% KUD (light yellow) = 0.3 km2 and the 50% KUD (dark yellow) of 0.009 km2. d. The sum of the minimum distance moved between consecutive location fixes for Tassiriki. The increased slope of the distance traveled indicates increased swimming activity and correlates in each case with the time before and after the suspected nesting dates.
Figure 2 in Destination Revealed: Post-Nesting Migrations of Hawksbill Turtles (Eretmochelys imbricata) from Moso Island, Republic of Vanuatu
Figure 2. Home range calculations for four post-nesting hawksbills tagged on Moso Island, Republic of Vanuatu using the kernel utilization distribution (KUD) estimator. a. 95% KUD = 28.9 km2 and b. 50% KUD = 5.7 km2 for Ethana (164948). c. 95% KUD = 7.4 km2 and d. 50% KUD = 2.0 km2 for Pua Lilia (704626A). e. 95% KUD = 1.7 km2 f. 50% KUD = 0.2 km2 for Launmakala (713459). g. 95% KUD = 7.4 km2 and h. 50% KUD = 0.6 km2 for Tassiriki (713458).
Figure 1 in Reproductive and ecological similarity between Caretta caretta (Linnaeus, 1758) and Eretmochelys imbricata (Linnaeus, 1766) in southern Bahia (Brazil)
Figure 1. Location of the study area on the Brazilian coast. The river mouth corresponds to the Tijuípe River (Bahia, Brazil).
Figure 3 in Reproductive and ecological similarity between Caretta caretta (Linnaeus, 1758) and Eretmochelys imbricata (Linnaeus, 1766) in southern Bahia (Brazil)
Figure 3. Similarity of hatchlings between species. a = Caretta caretta and x = Eretmochelys imbricata. The numbers and red circles highlight the three groups of ecological similarity among hatchlings.
Figure 6 in Reproductive and ecological similarity between Caretta caretta (Linnaeus, 1758) and Eretmochelys imbricata (Linnaeus, 1766) in southern Bahia (Brazil)
Figure 6. Correlation between the hatch response of (A) Eretmochelys imbricata and (B) Caretta caretta and temperature.
Figure 2 in Reproductive and ecological similarity between Caretta caretta (Linnaeus, 1758) and Eretmochelys imbricata (Linnaeus, 1766) in southern Bahia (Brazil)
Figure 2. Correlation between the number of nests observed for the Caretta caretta and Eretmochelys imbricata. The descending line shows the correlation pattern. The number of nests ranged from 0 to 3 for each sample (n=102).
Fig. 5 in Feminization tendency of Hawksbill Turtles (Eretmochelys imbricata) in the western Yucatán Peninsula, Mexico
Fig. 5. Relationship between temperature and sex ratio. The red dotted line denotes the pivotal temperature according to the TSD software and calibrated with histology of gonads from dead Hawksbill hatchlings.
Fig. 3 in Feminization tendency of Hawksbill Turtles (Eretmochelys imbricata) in the western Yucatán Peninsula, Mexico
Fig. 3. Hatching success of Eretmochelys imbricata on the beaches of Chenkan, Punta Xen, and Celestún, Yucatán Peninsula (Mexico).
Fig. 2 in Feminization tendency of Hawksbill Turtles (Eretmochelys imbricata) in the western Yucatán Peninsula, Mexico
Fig. 2. (a) Incubation temperatures of Eretmochelys imbricata, during the TSP, on the beaches of Chenkan, Punta Xen, and Celestún, during two incubation periods (June–July and August–September). The dotted line indicates the pivotal temperature. (b) Percentages of females in the monitored nests on the nesting beaches of the western Yucatán Peninsula (Mexico). The red asterisks show where the differences were significant (p <0.05) among nests, by beach.
Fig. 1 in Feminization tendency of Hawksbill Turtles (Eretmochelys imbricata) in the western Yucatán Peninsula, Mexico
Fig. 1. Geographical locations of the monitored nests of Eretmochelys imbricata, as well as the beaches studied and their images. 1) Celestún, 2) Punta Xen, and 3) Chenkan.
Fig. 4 in Feminization tendency of Hawksbill Turtles (Eretmochelys imbricata) in the western Yucatán Peninsula, Mexico
Fig. 4. Representative histology sections of gonads from dead Hawksbill hatchlings in the monitored nests. (a) Testis (100 µm), (b) Ovary (100 µm), (c) Testis (20 µm), (d) Müllerian ducts of male (20 µm), (e) Ovary (20 µm), (f) Müllerian ducts of female (20 µm). The dotted areas in (a) and (b) indicate the sites of the higher magnifications shown in (c) and (e), where the dotted line indicates the cortex, M indicates the medulla region, and C indicates the cortex region.
Tortuga carey (Eretmochelys imbricata)
**Ejemplar:** *Eretmochelys imbricata* Nombre común: tortuga Carey **taxonomía**: orden=Testudines, familia=Cheloniidae **Localidad:** Desierto del Sáhara (Marruecos) **Descripción:** se trata de un ejemplar histórico taxidermizado de la colección "Padre Ignacio Sala S.J." del colegio Jesuitas de Valencia. Ejemplar taxidermizado hace unos 50 años. **Sigla museo, colección y entidad:** MUVHNZJ, Colección CCNN Padre Ignacio Sala S.J. (Jesuitas) **Técnica digitalización / modelo**: escaneado superficial, escáner 3D Einscan Pro (luz estructurada) **Software empleado**: einscan Pro v3.1.0.2 **Parámetros software:** modo manual sin plataforma giratoria, calidad alta **Archivo 3D:** PLY 137 Mb , textura JPG 35 Mb **Autor digitalización:** Jose A. Villena y Guillermo Rodero **Cita ejemplar:** modelo 3D colección "Padre Ignacio Sala S.J." del Museo de la Universitat de Valencia de Historia Natural Source: Objaverse 1.0 / Sketchfab
Accelerometer, gyroscope and pressure data associated with behaviors of free-ranging hawksbill sea turtles (Eretmochelys imbricata)
<p> </p> <p> </p> <div> <div> <div> <div> <div> <p>In this paper, we explored the use of transfer learning across species and taxa, employing fully convolutional neural networks to predict the behaviors of critically endangered hawksbill sea turtles from acceleration data. For this purpose, fully convolutional neural networks (V-net and U-net) were pre-trained on a dataset of green turtles (Zenodo link) and human data (Intensive Care Unit (ICU) HAR dataset, <a href="https://doi.org/10.24432/C54S4K" target="_new" rel="noreferrer">https://doi.org/10.24432/C54S4K</a>) before being fine-tuned on the hawksbill dataset. The results reveal a 8% and 4% improvement in F1-score with transfer learning from the green turtle and human datasets, respectively, compared to training the models from random weight initialization (without transfer learning). </p> </div> </div> </div> </div> </div> <p> </p> <p>The dataset comprised the raw acceleration, gyroscope and depth sequence of 6 free-ranging hawksbill sea turtles associated with the behaviors. The indiviuals were equipped with a on-board video recorder combined with an accelerometer, gyroscope, magnetometer and luminosity, temperature and depth sensors using four suction cups and an automatic release system over a two-day periods (see Jeantet et al. 2020 for details and the associated article). The accelerometer, gyroscope, magnetometer recorded at 20 Hz and the pressure, temperature and luminosity sensors at 1 Hz. The cameras were programmed to record until nightfall (6 pm) and resume at daybreak (6 am). The magnetometer, luminosity and temperature data are provided but not used in the associated study. </p> <p> </p> <div> <div> <div> <div> <div> <p>For each individual, the data collected by the devices was correlated with observed behaviors from video recordings. Unlabeled sequences, mostly comprising night recordings, were excluded, resulting in the creation of one file per day of deployment for each individual. </p> </div> </div> </div> </div> </div> <div> <div> <div> <div> <div> <p>To process the depth data and increase the sampling rate to 20 Hz, we used a linear interpolation technique. We called this new variable "Pressure_corr". Additionally, we calculated the pressure difference ("Pressure_diff") between each measuring point (originally at 1 Hz).</p> </div> </div> </div> </div> </div> <p> </p> <p>"In total, 69.7 hours of multi-sensor sequences were labelled from six different hawksbill turtles (approximately 11.6 hours of recording per individual, max = 17.8 hours, min = 6.3 hours, standard deviation = 3.6 hours). The predominant behavior observed in the videos was <em>Feeding</em>, totaling over 38.6 hours, followed by <em>Resting</em> and <em>Swimming</em>, with 19.1 hours and 7.9 hours, respectively. The other behaviors were expressed in minority (<em>Breathing</em>: 2.2 hours, <em>Gliding</em>: 1 hour, <em>Scratching</em>: 0.8 hour and <em>Other</em>: 0.1 hour). " </p> <p> </p> <p>The folder contains 10 Python matrices, each with 15 columns (AccX, AccY, AccZ, GyrX, GyrY, GyrZ, MagX, MagY, MagZ, Depth, Light, Temperature, Pressure_corr, Pressur_diff, Behavior) and a number of rows corresponding to the deployment duration. The title of each file indicates the camera number used (CC-09-XX) and the deployment day (DD-MM-YYYY), with the last digit specifying whether the matrix corresponds to the first or second day of deployment.</p> <p> </p> <p>The folder also contains two dictionaries (behInd_to_behName, behName_to_behInd) that specify the behaviors associated with each number used as a label in the Behavior column. Additionally, there is a dictionary (dico_info) that provides the names of the matrix columns and the frequence of recording.</p> <p> </p> <p> </p> <p> </p> <p> </p>
Figure 5 in Reproductive and ecological similarity between Caretta caretta (Linnaeus, 1758) and Eretmochelys imbricata (Linnaeus, 1766) in southern Bahia (Brazil)
Figure 5. Comparison between the number of hatchlings of both species.
Data from: Genetic variation, multiple paternity and measures of reproductive success in the critically endangered hawksbill turtle (Eretmochelys imbricata)
The Yucatán Peninsula in Mexico contains some of the largest breeding groups of the globally distributed and critically endangered hawksbill turtle (Eretmochelys imbricata). An improved understanding of the breeding system of this species and how its genetic variation is structured among nesting areas is required before the threats to its survival can be properly evaluated. Here, we genotype 1195 hatchlings and 41 nesting females at 12 microsatellite loci to assess levels of multiple paternity, genetic variation and whether individual levels of homozygosity are associated with reproductive success. Of the 50 clutches analyzed, only 6% have multiple paternity. The distribution of pairwise relatedness among nesting localities (rookeries) was not random with elevated within-rookery relatedness, and declining relatedness with geographic distance indicating some natal philopatry. Although there was no strong evidence that particular rookeries had lost allelic variation via drift, younger turtles had significantly lower levels of genetic variation than older turtles, suggesting some loss of genetic variation. At present there is no indication that levels of genetic variation are associated with measures of reproductive success such as clutch size, hatching success, and frequency of infertile eggs.
F in Habitat utilization by juvenile hawksbill turtles (Eretmochelys imbricata, Linnaeus, 1766) around a shallow water coral reef
F. 6. Schematic showing the movement of hawksbill turtles between foraging and resting sites: (1) foraging on reef flat; (2) ascending to the surface once foraging has ended; (3) descending down reef face; (4) resting site (typically sandy bottomed); (5) ascending to surface following period of rest and return to foraging site.
F in Habitat utilization by juvenile hawksbill turtles (Eretmochelys imbricata, Linnaeus, 1766) around a shallow water coral reef
F. 7. Comparison of foraging depth (active and stationary combined) with the depth of the resting site (post-foraging) (open circle). Line of equivalence (i.e. foraging depth= resting depth). Data represent occasions when the turtle was observed to swim repeatedly between foraging and resting sites (N=11) and not when observed at either site independently. Superimposed are mean dive depth data (±1 SD) for juvenile hawksbills taken from table 3 in van Dam and Diez (1996) (closed circle).
F in Habitat utilization by juvenile hawksbill turtles (Eretmochelys imbricata, Linnaeus, 1766) around a shallow water coral reef
F. 5. Mean depth (±1 SD) for different behaviours at the six study sites combined. SF, stationary foraging; AF, active foraging; R, resting; AR, assisted resting.
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