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64 results for “Marine turtle”
Potential adaptability of marine turtles to climate change may be hindered by coastal development in the USA
<p>Marine turtles may respond to projected climatic changes by shifting their nesting range to climatically suitable areas, which may result in either increased exposure to threats or fewer threats. Therefore, there is a need to identify whether the habitat predicted to be climatically suitable for marine turtle nesting in the future will be affected by future threats and hinder marine turtles' ability to adapt. We modelled the geographic distribution of climatically suitable nesting habitat for marine turtles in the USA under future climate scenarios, identified potential range shifts by 2050, determined impacts from sea-level rise, and explored changes in exposure to coastal development as a result of range shifts. Overall nesting ranges of marine turtle species were not predicted to change between the current and future time periods, except for the northern nesting boundaries for loggerhead turtles. However, declines in climatically suitable nesting grounds were predicted; loggerhead turtles will experience the highest decreases (10%) in climatically suitable habitat followed by green (7%) and leatherback (1%) turtles. However, sea-level rise is projected to inundate 78–81% of current habitat predicted to be climatically suitable in the future, depending on species and scenario. Nevertheless, new beaches will also form, and suitable nesting habitat could be gained, with leatherback turtles potentially experiencing the biggest percentage gain in suitable habitat.</p>
Data from: Isotopic niche overlap among foraging marine turtle species in the Gulf of Mexico
<p>R codes and corresponding dataset for "Isotopic niche overlap among foraging marine turtle species in the Gulf of Mexico" by Weber et al. for publication. </p> <p>The "MasterDB" dataset contains the bulk stable isotope data (C, N, S) for loggerhead, green, and Kemp's ridley turtles sampled off the coast of Crystal River, Florida from 2016 to 2022. The "SIA_Values" dataset presents the data in the appropriate format for the nicheRover R package. Both metadata .csv files contain all metadata necessary for interpretation. </p>
Strandings of marine mammals, sea turtles and seabirds along central Santa Catarina coast, Brazil, from 2015 to 2018.
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Strandings of marine mammals, sea turtles and seabirds along the northern Santa Catarina coast, Brazil, from 2015 to 2018.
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Strandings of marine mammals, sea turtles and seabirds along the southern São Paulo coast, Brazil, from 2015 to 2018.
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Strandings of marine mammals, sea turtles and seabirds along the central-north São Paulo coast, Brazil, from 2015 to 2018.
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Strandings of marine mammals, sea turtles and seabirds along the Paraná coast, Brazil, from 2015 to 2018.
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Strandings of marine mammals, sea turtles and seabirds along the Central-south Santa Catarina coast, Brazil, from 2015 to 2018.
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Strandings of marine mammals, sea turtles and seabirds along the South Santa Catarina state coastline, from 2015 to 2018.
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Data from: Tracing the patterns of non-marine turtle richness from Triassic–Palaeogene: from origin through global spread
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Potential adaptability of marine turtles to climate change may be hindered by coastal development in the USA
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Strandings of marine mammals, sea turtles and seabirds along the central-north Santa Catarina coast, Brazil, from 2015 to 2018
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Strandings of marine mammals, sea turtles and seabirds along the central-south coast of São Paulo, Brazil, from 2015 to 2018.
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Strandings of marine mammals, sea turtles and seabirds along the northern São Paulo coast, Brazil, from 2015 to 2018.
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Data from: Geography best explains global patterns of genetic diversity and post-glacial co-expansion in marine turtles
For many species, climate oscillations drove cycles of population contraction during cool glacial periods followed by expansion during interglacials. Some groups, however, show evidence of uniform and synchronous expansion while others display differences in the timing and extent of demographic change. We compared demographic histories inferred from genetic data across marine turtle species to identify responses to post-glacial warming shared across taxa and to examine drivers of past demographic change at the global scale. Using coalescent simulations and approximate Bayesian computation (ABC), we estimated demographic parameters, including the likelihood of past population expansion, from a mitochondrial dataset encompassing 23 previously identified lineages from all 7 marine turtle species. For lineages with a high posterior probability of expansion, we conducted a hierarchical ABC analysis to estimate the proportion of lineages expanding synchronously and the timing of synchronous expansion. We used Bayesian Model Averaging to identify variables associated with expansion and genetic diversity. Approximately 60% of extant marine turtle lineages showed evidence of expansion, with the rest mainly exhibiting patterns of genetic diversity most consistent with population stability. For lineages showing expansion, there was a strong signal of synchronous expansion after the Last Glacial Maximum. Expansion and genetic diversity were best explained by ocean basin and the degree of endemism for a given lineage. Geographic differences in sensitivity to climate change have implications for prioritizing conservation actions in marine turtles as well as for identifying areas of past demographic stability and potential resilience to future climate change for broadly distributed taxa.
Data from: Evidence of opposing fitness effects of parental heterozygosity and relatedness in a critically endangered marine turtle?
How individual genetic variability relates to fitness is important in understanding evolution and the processes affecting populations of conservation concern. Heterozygosity-fitness correlations (HFCs) have been widely used to study this link in wild populations, where key parameters that affect both variability and fitness, such as inbreeding, can be difficult to measure. We used estimates of parental heterozygosity and genetic similarity ('relatedness') derived from 32 microsatellite markers to explore the relationship between genetic variability and fitness in a population of the critically endangered hawksbill turtle, Eretmochelys imbricata. We found no effect of maternal MLH (multilocus heterozygosity) on clutch size or egg success rate, and no single-locus effects. However, we found effects of paternal MLH and parental relatedness on egg success rate that interacted in a way that may result in both positive and negative effects of genetic variability. Multicollinearity in these tests was within safe limits, and null simulations suggested the effect was not an artefact of using paternal genotypes reconstructed from large samples of offspring. Our results could imply a tension between inbreeding and outbreeding depression in this system, which is biologically feasible in turtles: female-biased natal philopatry may elevate inbreeding risk and local adaptation, and both processes may be disrupted by male-biased dispersal. Although this conclusion should be treated with caution due to a lack of significant identity disequilibrium, our study shows the importance of considering both positive and negative effects when assessing how variation in genetic variability affects fitness in wild systems.
Data from: MarTurtSI, a global database of stable isotope analyses of marine turtles
Marine turtles are both flagship species of conservation concern and indicators of ocean health. As highly migratory species, and despite substantial research effort focusing on nesting females and satellite tagging studies, we still know little about the trophic ecology and habitat use of immature stages and males. Consequently, marine turtle biologists began using stable isotope analyses in the last decade to elucidate various aspects of trophic ecology, including habitat use and trophic position. This has resulted in a burgeoning but largely disconnected literature of mostly single-species case studies. Here we comprehensively synthesize this body of work into a unified data repository, the MarTurtSI database. MarTurtSI contains stable isotope data from six of seven marine turtle species ranging from juveniles to adults, in different developmental, feeding, and breeding habitats across multiple ocean basins. MarTurtSI will be curated and updated with the aim of enabling continued comprehensive and global investigations into the trophic ecology of marine turtles especially in the face of climate change and other conservation challenges.
Data from: A gravid fossil turtle from the Early Cretaceous reveals a different egg development strategy to that of extant marine turtles
Extant sea turtles develop and lay pliable (flexible) eggs, however, it is unknown if they inherited this reproductive strategy from their closer fossil relatives or corresponds to an evolutionary novelty. Here we describe the first undisputable gravid marine fossil turtle ever found, from the early Cretaceous of Colombia, belonging to Desmatochelys padillai Cadena and Parham, which constitutes a representative of Protostegidae. Using thin sectioning of one the eggs, as well as scanning electron microscopy coupled with elemental characterization, cathodoluminescence, and computer tomography we established that Desmatochelys padillai produced rigid eggs similar to the ones found in some extant and fossil freshwater and terrestrial turtles, and that at least 48 spherical eggs are preserved inside this gravid turtle. We performed also a phylogenetic analysis of several turtle taxa, including some of the extant marine species, plus the information from the gravid specimen of Desmatochelys padillai, and we found more support to previous ideas that egg and eggshell characters lack of strong phylogenetic signal amongst turtle taxa. We suggest that the development of rigid eggs in the marine extinct turtle Desmatochelys padillai resulted as an adaptation for eggs-embryos requirements dictated by the physical attributes of the nesting site
Giant Marine Turtle (NHMW-Geo 1977/1902/0001)
3D scan of one of the only known complete fossilized skeletons of a giant marine turtle (*Archelon ischyros*), the largest marine turtle that ever lived and could reach a length of nearly 5 meters. These giants inhabited and cavorted around in the shallow tropical sea that covered North America some 70 million years ago. The skeleton of the giant marine turtle is number 30 of the NHM Top 100 and can be found in Hall 10 at the NHM Vienna. **Specimen**: *Archelon ischyros* (Wieland, 1896) **Inventory number**: NHMW-Geo 1977/1902/0001 **Collection**: Natural History Museum Vienna, Geology & Paleontology Dept,, Vertebrate Coll. (curator: Ursula Göhlich) Find out more about the NHMW [here](http://www.nhm-wien.ac.at/en). Scanned and edited by Nikola Brodtmann, Anna Haider & Viola Winkler (NHMW). The model was coloured in artificially, due to in parts bad texture quality. Scanner: Artec Leo. Infrastructure funded by the FFG. Source: Objaverse 1.0 / Sketchfab
FIGURES 26–31 in Chelonicola and Poulinea, two new gomphonemoid diatom genera (Bacillariophyta) living on marine turtles from Costa Rica
FIGURES 26–31. Poulinea lepidochelicola. SEM pictures taken from the holotype population from the olive ridley sea turtle carapace collected on Ostional Beach, Costa Rica. 26. External oblique view of an entire valve showing the shape of the mantle. 27. Internal view of two entire valves without girdle elements showing the raphe sternum and the covered areolae. 28. Internal detail of the headpole showing the helictoglossae and a few areolae surrounding the headpole. 29. Internal detail of the footpole with the helictoglossae and several rows of areolae surrounding the footpole. 30. Internal detail of the central area with the siliceous covering of the proximal raphe endings. 31. Internal detail of the central area. The siliceous flap covering the proximal raphe endings has been removed showing the raphe endings. Scale bar represents 1 μm except for Fig. 27 where scale bar = 5 μm.
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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)
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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.