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106 results for “green turtle”
Figure 2 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 2. Pimelia sp. larva.
Figure 5 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 5. Muscidae pupae.
Figure 4 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 4. Elater sp. larva.
Figure 6 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 6. Enchytraeidae (Oligochaeta) sample.
Figure 7 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 7. Myrmeleontidae.
Figure 3 in Invertebrate infestation in green turtle (Chelonia mydas (Linnaeus, 1758)) and loggerhead turtle (Caretta caretta (Linnaeus, 1758)) nests on Alata Beach, Mersin, Turkey
Figure 3. Elater sp. larva in the egg.
Fig. 1 in Migrations and Conservation Implications of Post-Nesting Green Turtles from Gielop Island, Ulithi Atoll, Federated States of Micronesia
Fig. 1: Illustration of Ulithi Atoll, Yap State, Federated States of Micronesia (FSM).
Table 1 in Of turtles and trees: Nutritional analysis of tree heliotrope (Heliotropium foertherianum) leaves consumed by green turtles (Chelonia mydas) in Hawaiʻi
<p>Table 1. Results of chemical analysis of senescent leaves of <i>Heliotropium foertherianum</i> from Kona, HI. All values are mean values. C:N = carbon:nitrogen ratio, ADF = acid detergent fiber, NDF = neutral detergent fiber. SE represents the standard error of the mean. Values of carbon, nitrogen, ash, protein, fat, fiber, lignin, energy and phenol are based on dry matter. n=number of sub-samples.</p><table><tbody><tr><th></th><th><b>% Dry Matter</b></th><th><b>% Nitrogen</b></th><th><b>C:N</b></th><th><b>% Ash</b></th><th><b>% Crude</b></th><th><b>% Crude</b></th><th><b>% ADF</b></th><th><b>% NDF</b></th><th><b>% Lignin</b></th><th><b>Energy, Kcal/kg</b></th><th><b>Total Phenol, mg/g</b></th></tr></tbody><tbody><tr><th></th><td><b>(SE)</b></td><td><b>(SE)</b></td><td><b>(SE)</b></td><td><b>(SE)</b></td><td><b>Protein</b></td><td><b>Fat</b></td><td><b>(SE)</b></td><td><b>(SE)</b></td><td><b>(SE)</b></td><td><b>(SE)</b></td><td><b>(SE)</b></td></tr><tr><th>Oct 2016</th><td>97.38</td><td>0.65</td><td>46.03</td><td>2.46</td><td>5.25</td><td>2.43</td><td>31.26</td><td>40.70</td><td>13.91</td><td>4556.4</td><td>584</td></tr><tr><th></th><td>(0.29)</td><td>(0.003)</td><td>(1.58)</td><td>(0.07)</td><td></td><td></td><td>(0.26)</td><td>(0.21)</td><td>(0.22)</td><td>(42.0)</td><td>(6.7)</td></tr><tr><th></th><td>n=2</td><td>n=10</td><td>n=10</td><td>n=2</td><td>n=1</td><td>n=1</td><td>n=2</td><td>n=2</td><td>n=2</td><td>n=3</td><td>n=3</td></tr><tr><th>Jan 2017</th><td>96.49</td><td>0.64</td><td>48.94</td><td>2.48</td><td>5.65</td><td>2.00</td><td>31.82</td><td>42.35</td><td>13.60</td><td>4649.8</td><td>573</td></tr><tr><th></th><td>(0.05)</td><td>(0.35)</td><td>(1.56)</td><td>(0.04)</td><td></td><td></td><td>(0.22)</td><td>(0.47)</td><td>(0.42)</td><td>(32.9)</td><td>(10.5)</td></tr><tr><th></th><td>n=3</td><td>n=10</td><td>n=10</td><td>n=3</td><td>n=1</td><td>n=1</td><td>n=2</td><td>n=2</td><td>n=2</td><td>n=3</td><td>n=3</td></tr></tbody></table>
FIGURE 2 in New Records of Hyachelia tortugae Barnard, 1967, and H. lowryi Serejo and Sittrop, 2009 (Amphipoda: Gammaridea: Hyalidae), from Palmyra Atoll National Wildlife Refuge: Cooccurrence on Pacific Green Turtles (Chelonia mydas).
FIGURE 2. Map of Pacific Ocean showing location of Palmyra Atoll.
Origins of green turtle fishery bycatch in the Central Pacific revealed by mixed genetic markers
<p>Longline fishing vessels, such as those that target tuna or billfish, also unintentionally catch endangered marine turtle species on the high seas. The stock composition of this bycatch is often unknown but potentially complex, with individuals coming from many possible origins on an ocean-basin scale. To better understand the stock composition of green turtle (<em>Chelonia</em> <em>mydas</em>) bycatch, we obtained 46 turtles, 27–78 cm in curved carapace length, caught by Hawaii- and American Samoa-based pelagic longline fishing vessels across large areas of the North- and South-central Pacific. We genotyped these at nine microsatellite loci and one mitochondrial DNA marker and used a baseline of 1,043 nesting female green turtles from beaches across the Pacific for population assignment and mixed-stock analysis. By analyzing both marker types jointly we were able to increase power and genetically resolve ten baseline stocks of nesting females with mean self-assignment and simulated accuracies of 75–97%. Above the Equator, green turtle bycatch was composed mostly of individuals from Hawaiian and Eastern Pacific stocks, with a small number from the Western Pacific. Below the Equator, the most common stocks in the bycatch were from Australia and the Coral Sea, American Samoa and French Polynesia, and the Galápagos Islands. Overall, turtles originating from East, West, and Central Pacific breeding populations were major components of the bycatch, suggesting that the geographic ranges of these populations overlap across large tracts of ocean during the pelagic life history stages.</p>
Data from: Efficient wildlife monitoring: Deep learning-based detection and counting of green turtles in coastal areas
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Origins of green turtle fishery bycatch in the Central Pacific revealed by mixed genetic markers
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Green and hawksbill sea turtle nesting in the Gulf of Guinea: A 9-year survey
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Large-scale patterns of green turtle trophic ecology in the eastern Pacific Ocean
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Recovery of a cultivation grazer: A mechanism for compensatory growth of Thalassia testudinum in a Caribbean seagrass meadow grazed by green turtles
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First Atlantic satellite tracks of lost years green turtles support the importance of the Sargasso Sea as a sea turtle nursery
<p>In-water behaviour and long-term movements of oceanic-stage juvenile sea turtles are not well described or quantified. This is due to technological or logistical limitations of tracking small, fast-growing animals across long distances and time-periods within marine habitats. Here we present the first long-term offshore tracks of oceanic green turtles (<i>Chelonia mydas</i>) in western North Atlantic waters. Using a tag attachment technique developed specifically for young (<1 year old) green turtles, we satellite tracked 21 oceanic-stage green turtles (<19 cm straight carapace length) up to 152 days using small, solar-powered transmitters. We verify that oceanic-stage green turtles: (<i>i</i>) travel to and remain within oceanic waters; (<i>ii</i>) often depart the Gulf Stream and North Atlantic Subtropical Gyre currents, orienting toward waters associated with the Sargasso Sea; (<i>iii</i>) remain at the sea surface, using thermally-beneficial habitats that promote growth and survival of young turtles; and (<i>iv</i>) green turtles orient differently compared to same stage loggerhead turtles (<i>Caretta caretta</i>). Combined with satellite tracks of oceanic-stage loggerhead turtles, our work identifies the Sargasso Sea as an important nursery habitat for North Atlantic sea turtles, supporting a growing body of research that suggests oceanic-stage sea turtles are behaviourally more complex than previously assumed.</p>
Data from: Reconstruction of paternal genotypes over multiple breeding seasons reveals male green turtles do not breed annually
For species of conservation concern, knowledge of key life-history and demographic components, such as the number and sex ratio of breeding adults, is essential for accurate assessments of population viability. Species with temperature-dependent sex determination can produce heavily biased primary sex ratios, and there is concern that adult sex ratios may be similarly skewed or will become so as a result of climate warming. Prediction and mitigation of such impacts are difficult when life-history information is lacking. In marine turtles, owing to the difficultly in observing males at sea, the breeding interval of males is unknown. It has been suggested that male breeding periodicity may be shorter than that of females, which could help to compensate for generally female-biased sex ratios. Here we outline how the use of molecular-based paternity analysis has allowed us, for the first time, to assess the breeding interval of male marine turtles across multiple breeding seasons. In our study rookery of green turtles (Chelonia mydas), 97% of males were assigned offspring in only one breeding season within the 3-year study period, strongly suggesting that male breeding intervals are frequently longer than 1 year at this site. Our results also reveal a sex ratio of breeding adults of at least 1.3 males to each female. This study illustrates the utility of molecular-based parentage inference using reconstruction of parental genotypes as a method for monitoring the number and sex ratio of breeders in species where direct observations or capture are difficult.
Data from: Energy expenditure of adult green turtles (Chelonia mydas) at their foraging grounds and during simulated oceanic migration
Measuring the energy requirements of animals under natural conditions and determining how acquired energy is allocated to specific activities is a central theme in ecophysiology. Turtle reproductive output is fundamentally linked with their energy balance so a detailed understanding of marine turtle energy requirements during the different phases of their life cycle at sea is essential for their conservation. We used the non-invasive accelerometry technique to investigate the activity patterns and energy expenditure (EE) of adult green turtles (Chelonia mydas) foraging year-round at a seagrass meadow in Mayotte (n = 13) and during simulated oceanic migration (displacement from the nesting beach) off Mohéli (n = 1), in the south-western Indian Ocean. At the foraging site, turtles divided their days between foraging benthically on the shallow seagrass meadow during daylight hours and resting at greater depth on the inner side of the reef slope at night. Estimated oxygen consumption rates (sinline image) and daily energy expenditures (DEE) at the foraging site were low (sinline image during the day was 1·6 and 1·9 times the respective resting rate at night during the austral summer and winter, respectively), which is consistent with the requirement to build up substantial energy reserves at the foraging site, to sustain the energy-demanding breeding migration and reproduction. Dive duration (but not dive depth) at the foraging site shifted significantly with season (dive duration increased with declining water temperatures, Tw), while overall activity levels remained unchanged. In parallel with a significant seasonal decline in Tw (from 28·9 ± 0·1 °C to 25·3 ± 0·4 °C), there was a moderate (˜19%) but significant decline in DEE of turtles during the austral winter (901 ± 111 kJ day−1), when compared with the austral summer (1117 ± 66 kJ day−1). By contrast, the turtle moved continuously during simulated oceanic migration, conducting short/shallow dives in the day, which (predominately at night) were interspersed with longer and deeper 'pelagic' dives. Estimated oxygen consumption rates during a simulated migration (1·25 ± 0·16 mL O2 min−1 kg−0·83) were found to be significantly increased over the foraging condition, equal to ˜3 times the resting rate at night (0·42 ± 0·02 mL O2 min−1 kg−0·83), and daily energy expenditure amounted to 2327 ± 292 kJ day−1, underlining the tremendous energetic effort associated with breeding migration. Our study indicates that the accelerometry technique provides a new and promising opportunity to study marine turtle energy relations in great detail and under natural conditions.
Sick of attention: The effect of a stress-related disease on juvenile green sea turtle behaviour in the face of intense and prolonged tourism
<p><span><span><span><span><span><span><span><span><span><span><span>Anthropogenic activities are increasingly linked to emerging diseases that cause mortality across many taxa. Human interference through ecotourism, in particular, can increase the stress levels of wild populations and promote the spread of disease. In Akumal Bay, Mexico, green sea turtles (<i>Chelonia mydas</i>) are increasingly infected with fibropapillomatosis (FP), an infectious disease associated with stress-induced immunosuppression linked to high human density, which is particularly high in this area because of intense and prolonged ecotourism. To examine if FP might be associated with behavioural indicators of stress and varying levels of tourist pressure, we observed the behaviour of turtles and the number of tourists through 20-minute focal sampling periods from May to August 2017. We related disease presence and tourist pressure to several aspects of turtle behaviour, specifically feeding, resting, vertical movements (i.e., surfacing and diving), and evasive responses. Turtles that had FP engaged in fewer feeding periods, vertical movements, and evasive responses. Additionally, with increasing tourist pressure, all turtles spent less time engaging in vertical movements and had more evasive responses. Our results suggest that the presence of FP affects green sea turtle behavior, potentially increasing their exposure to tourists. Sick and healthy turtles appear to react differently to tourists, suggesting that FP weakens behavioural responses to tourist pressure. Future management strategies should consider regulating tourist pressure on turtles to reduce the incidence and progression of FP.</span></span></span></span></span></span></span></span></span></span></span></p>
Relocations for: Satellite-tracking reveals sex-specific migration distance in green turtles (Chelonia mydas)
<p>Relocations from 25 green turtles, tracked in West Africa in 2021.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.