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Figure 1 in Ocean pathways and residential foraging locations for satellite tracked green turtles breeding at French Frigate Shoals in the Hawaiian Islands
Figure 1. Hawaiian Archipelago located in an isolated region of the Central North Pacific. Colonial breeding by green turtles in abundance occurs at the mid-point location of French Frigate Shoals (Balazs et al 2015)
Fig. 2 in Serious lesions in Green turtles (Chelonia mydas) afflicted by fatal Spirorchiidiasis found stranded in south and southeastern Brazil
Fig. 2. (a–b). Granulomatous Thyroiditis, Thyroid, C. mydas. Figure a. Severe follicle destruction, with decreased number of follicles. Figure a. Inset: Parasitic granulomas associated with compressed, deformed, empty follicle (arrow). Figure b. Upper Inset: Atrophic thyroid follicles with normal epithelial cell (red arrow) and randomly pyknotic follicular cells (black arrow). Additionally note a type 3 egg (red arrow). Bottom Inset: Thyroid, Normal C. mydas thyroid. Figure c. Granulomatous Splenitis, Spleen, C. mydas. Large and severe coalescent granulomas associated with marked and diffuse lymphoid depletion and periarteriolar lymphatic sheaths loss. Upper Inset: Spleen. Normal C. mydas spleen, note periarteriolar lymphatic sheaths (black arrow). Bottom Inset: Higher magnification of granulomatous splenitis associated with periarteriolar lymphoid depletion, note arteriole (black arrow) and type 3 egg (red arrow). Figure d. Granulomatous Choroiditis, Ocular Bulb, C. mydas. Choroid layer diffusely replaced by severe granulomatous inflammation. Upper Inset: Choroid layer and retina. Normal C. mydas choroid layer (between red lines) and retina. Bottom Inset: Higher magnification of severe granulomatous inflammation associated with egg type 3 (red arrow), (hematoxylin and eosin staining). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article).
Fig. 1. a in Serious lesions in Green turtles (Chelonia mydas) afflicted by fatal Spirorchiidiasis found stranded in south and southeastern Brazil
Fig. 1. a. Severe and Generalized Granulomatous Interstitial Pneumonia, Lung, C. mydas. Lung tissue extensively affected by large parasitic multifocal to coalescent severe granulomas in interfaveolar septa with diffusely compressed and collapsed faveolus (*). Upper Inset: Parasite of the spirorchiidae family in pulmonary artery lumen. Bottom Inset: Lung. Normal C. mydas lung. Fig. 1 b. Severe and Generalized Granulomatous Interstitial Pneumonia, Lung, C. mydas. Higher magnification of severely enlarged interfaveolar septa with diffusely compressed and collapsed faveolus (*), note egg type 3 (red arrow). Inset: Thrombus formed by eggs, cellular debris, macrophages and multinucleated giant cells in artery. Fig. 1 c. Granulomatous Meningitis, Brain, Chelonia mydas. Parasitic granulomas associated with severe nervous tissue atrophy associated with cerebral cortex loss, note red line with 290 μm (cerebral cortex compression area) and black line (722 μm) without cerebral cortex compression. Inset: Embolism, Spinal Cord. Embolus formed by cluster of eggs (*) in arteriole. Fig. 1 d. Brain, Granulomatous Encephalitis, Chelonia mydas. Parasitic granulomas associated with neural parenchyma compression, note egg type 1 (red arrow), (hematoxylin and eosin staining). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article).
Table 2 in Of turtles and trees: Nutritional analysis of tree heliotrope (Heliotropium foertherianum) leaves consumed by green turtles (Chelonia mydas) in Hawaiʻi
<p>Table 2. Comparison of nutritional content of senescent leaves of Heliotropium foertherianum and some other foods reported in Hawaiian green turtle diets. C:N = carbon:nitrogen ratio. Values are mean values. Carbon, nitrogen, protein, fat, and lignin values are based on dry weight of the plant material. Energy values are based on ash-free dry weight. NM = not measured.</p><table><tbody><tr><th></th><th><b>% H</b> <b>2</b> <b>O content</b></th><th><b>% Nitrogen C:N</b></th><th><b>% Crude Protein</b></th><th><b>% Fat</b></th><th><b>% Lignin</b></th><th><b>Energy, Kcal/kg Source</b></th></tr></tbody><tbody><tr><th><i>H. foertherianum,</i> senescent leaves, seasons combined</th><td>87.9</td><td>0.645</td><td>47.5</td><td>5.45</td><td>2.22</td><td>13.76</td><td>4603</td><td>This paper</td></tr><tr><th><i>Ahnfeltiopsis concinna</i> thalli</th><td>68.0</td><td>1.7</td><td>21.5</td><td>10.8</td><td>1.9</td><td>0.62</td><td>2846</td><td>McDermid et al. 2007, 2015</td></tr><tr><th><i>Pterocladiella capillacea</i> thalli</th><td>77.8</td><td>2.7</td><td>14.2</td><td>16.9</td><td>2.3</td><td>3.7</td><td>3220</td><td>McDermid et al. 2007, 2015</td></tr><tr><th><i>Paspalum vaginatum</i> leaves</th><td>77.5</td><td>2.2</td><td>23.2</td><td>17.2</td><td>NM</td><td>11.5</td><td>4006</td><td>McDermid et al. 2015</td></tr><tr><th><i>Halophila hawaiiana</i> leaves</th><td>90.3</td><td>2.3</td><td>NM</td><td>14.4</td><td>3.8</td><td>NM</td><td>1696</td><td>McDermid et al. 2007</td></tr></tbody></table>
FIGURE 6. Hyachelia lowryi. AMNH 12533-11008-033, male 5.03 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 6. Hyachelia lowryi. AMNH 12533-11008-033, male 5.03 mm. A. Pereopod 6. B. Pereopod 7. AMNH 12533-11008-111, male 5.23 mm. C. Maxilliped. D. Uropod 1. E. Uropod 2.
FIGURE 1. A. Hyachelia tortugae. AMNH 12533-10008-451, male 7.52 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 1. A. Hyachelia tortugae. AMNH 12533-10008-451, male 7.52 mm. B. H. lowryi. AMNH 12533- 11008-002, male 4.86 mm.
FIGURE 5. A. Hyachelia tortugae. AMNH 12533–10008–451, male 7.52 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 5. A. Hyachelia tortugae. AMNH 12533–10008–451, male 7.52 mm. B. H. lowryi. AMNH 12533- 11008-002, male 4.86 mm. Scale bars = 0.5 mm.
FIGURE 3. Hyachelia tortugae. AMNH 12533-11008-008, male 7.91 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 3. Hyachelia tortugae. AMNH 12533-11008-008, male 7.91 mm. A. Gnathopod 1 (outside lateral view). B. Gnathopod 2 (inside lateral view).
FIGURE 4. Hyachelia tortugae. AMNH 12533-11008-057, male 7.98 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 4. Hyachelia tortugae. AMNH 12533-11008-057, male 7.98 mm. A. Pereopod 6. B. Pereopod 7. C. Maxilliped. AMNH 12533-08013-277, female 5.30 mm. D. Uropod 1. E. Uropod 2.
Analysis - Threatened North African seagrass meadows have supported green turtle populations for millennia
<p>Scripts and data to run bagplots and discriminant analysis associated with the paper:</p> <p>Threatened North African seagrass meadows have supported green turtle populations for millennia, de Kock et al.</p>
Green turtle ddRAD raw sequencing data
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Provisioning of vitellogenic follicles continues after green turtles arrive at the nesting beach
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Individual plasticity in response to rising sea temperatures contributes to an advancement in green turtle nesting phenology
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Novel disease state model finds most juvenile green turtles develop and recover from fibropapillomatosis
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Seagrass growth rates and physical characteristics and measures of water temperature and salinity during a simulated green turtle grazing experiment in The Bahamas, 1999 – 2000.
This data set contains data from an experiment in which green turtle grazing was simulated in a Thalassia testudinum seagrass meadow in The Bahamas from July 1999 until December 2000. Measurements of water temperature and salinity were collected weekly. Seagrass meadow physical characteristics--blade length, blade width, number of blades per shoot, shoot density, and leaf area index--along with growth rates (both linear growth and production) were measured at various temporal intervals. Measurements were made in each of three treatments: 1) an unclipped reference treatment (representing ungrazed seagrass) in which measurements began in July 1999, 2) an experimentally clipped treatment (representing grazing) in which measurements began in July 1999, and 3) an experimentally clipped treatment (representing grazing) in which measurements began in February 2000. Data were used to investigate relationships between water temperature and salinity on seagrass growth and physical characteristics and how these relationships are affected by green turtle grazing.
Seagrass ecosystem metabolic carbon capture in response to green turtle grazing across Caribbean meadows, 2016 - 2018
This dataset contains ecosystem metabolism and seagrass meadow data from five locations in the Greater Caribbean and Gulf of Mexico regions at which green turtle populations had established foraging areas. Ecosystem metabolic rates were compared between grazed and adjacent ungrazed areas of seagrass (Thalassia testudinum) to investigate the effects of green turtle grazing on metabolic carbon capture rates in seagrass meadows across a wide geographic area. Seagrass data are provided for site descriptions and drivers of variation in metabolic rates. Ecosystem metabolic rates are also included for meadows of the invasive seagrass Halophila stipulacea from two locations for comparison to rates in the native seagrass meadows where this invasive seagrass is encroaching upon green turtle foraging areas. Data were collected from one location (Little Cayman) in 2016, and from the remaining four locations (Bonaire; St. Croix; Eleuthera, Bahamas; west coast of Florida) in 2018.
Large-scale patterns of green turtle trophic ecology in the eastern Pacific Ocean
<p><span><span><span><span><span><span><span><span><span><span><span>Trophic position and niche width are fundamental components of a species' ecology, reflecting resource use, and influencing key demographic parameters such as somatic growth, maturation, and survival. The present data file contains results of stable isotope analysis (stable-carbon, δ<sup>13</sup>C; stable-nitrogen, δ<sup>15</sup>N values) that was conducted on bulk skin tissue of 718 green sea turtles (<i>Chelonia mydas</i>) distributed among 16 foraging areas in the eastern Pacific from the US to Chile, a range spanning ~10,000 km. These study sites </span></span></span></span></span></span></span></span></span></span></span>were distributed across a latitudinal range from 33.736 °N to 23.098°S in the Eastern Pacific (Site Code): Long Beach, USA (LB); San Diego Bay, USA (SDB); north Gulf of Ulloa, Mexico (NGU); Magdalena Bay, Mexico (BMA); Los Angeles Bay, Mexico (BLA); Infiernillo Channel, Mexico (CIN); Navachiste Bay, Mexico (NAV); Dulce Gulf, Costa Rica (DUL); Cocos Island, Costa Rica (COC); Gorgona Island, Colombia (GOR); Punta Espinosa, Galapagos Islands, Ecuador (IGP); Bahia Elizabeth, Galapagos Islands, Ecuador (IGE); Caleta Derek, Galapagos Islands, Ecuador (IGD); oceanic waters, Peru (PPE); Pisco Paracas Bay, Peru (PAR); and Mejillones Bay, Chile (MEJ). <span><span><span><span><span><span><span><span><span><span><span>Substantial variability in bulk tissue δ<sup>13</sup>C and δ<sup>15</sup>N values was found within and among sites. These data were also used to calculate the isotope niche space (used as a proxy for ecological niche space) using the Bayesian ellipse approach, and we found that isotope niche space varied among sites, likely influenced by the diversity of prey types and relative input of terrestrial- vs. marine-derived nutrients. In addition to providing additional spatial resolution for δ<sup>13</sup>C and δ<sup>15</sup>N isoscapes in the eastern Pacific, especially in coastal habitats, this study and resultant dataset further establish stable isotope analysis as an effective tool to study the trophic ecology of sea turtles across a variety of food webs and habitats. </span></span></span></span></span></span></span></span></span></span></span></p>
Green and hawksbill sea turtle nesting in the Gulf of Guinea: A 9-year survey
<p>Sea turtles are critical components of marine ecosystems, and their conservation is important for Ocean Governance and Global Planet Health. However, there is limited knowledge of their ecology in the Gulf of Guinea. To fill this knowledge gap, this study presents the first integrative assessment of green and hawksbill turtles in the region, combining nesting area surveys over 9 years, and telemetry data, to offer insights into these population dynamics, and behaviours including nesting preferences, morphological and reproductive parameters, diving patterns and inter-nesting core-use areas. Green turtles are likely making a recovery in São Tomé, potentially driven by sustained conservation efforts. In contrast, the status of the hawksbill turtle remains less clear. There are preliminary indications of recovery, but we interpret this cautiously. Coupled with satellite tracking, this study estimated that 482 to 736 green turtles, and 135 to 217 hawksbills, nest on the beaches of São Tomé. Their movements overlap significantly with a proposed Marine Protected Area (MPA), which suggests they may be well placed for conservation if managed appropriately. However, the presence of artisanal fisheries and emerging threats, such as sand mining and unregulated tourism, highlight the urgent need for robust management strategies that align global conservation objectives with local socioeconomic realities. This study significantly enhances our understanding of the ecology and conservation needs of the green and hawksbill turtles in the Gulf of Guinea. The insights gleaned here can contribute to the development of tailored conservation strategies that benefit these populations and the ecosystem services upon which they depend.</p>
Data and scripts for: Satellite-tracking reveals sex-specific migration distance in green turtles (Chelonia mydas)
<p>Data derivates and analysis scripts (in R) used for the paper "Satellite-tracking reveals sex-specific migration distance in green turtles (<em>Chelonia mydas</em>)", published in Biology Letters, on analyzing male and female green turtle movements in West Africa.</p>
Supporting data and code for: Individual plasticity in response to rising sea temperatures contributes to an advancement in green turtle nesting phenology.
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