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5,828 results for “Traits”
F I G U R E 3 in GIFT – A Global Inventory of Floras and Traits for macroecology and biogeography
F I G U R E 3 Trait processing in the Global Inventory of Floras and Traits (GIFT). Original trait records entering GIFT are subjected to three processing steps: (i) Trait values are standardized with respect to language, terminology and measurement unit. (ii) Additional trait values are derived hierarchically for traits that are logically nested (colored rows under "derived traits", see also Figure S1), and taxonomically for species that belong to taxonomic groups that are uniform with respect to a particular trait. (iii) Derived trait values are aggregated at the species level based on the consensus among resources (categorical traits) or summary statistics are computed based on the original values (numerical traits) [Colour figure can be viewed at wileyonlinelibrary.com]
F I G U R E 4 in GIFT – A Global Inventory of Floras and Traits for macroecology and biogeography
F I G U R E 4 Spatial coverage of checklist data stored in the Global Inventory of Floras and Traits 1.0. (a) Regions with checklist data for native vascular plants. Darker green shade indicates overlapping regions. (b–d) Checklist coverage and species richness of major taxonomic groups for regions with theoretically complete inventories. Polygons are plotted sequentially in order of decreasing area to show smaller regions on top of larger regions, in the case where they overlap. Regions <25,000 km2 are plotted as points [Colour figure can be viewed at wileyonlinelibrary.com]
F I G U R E 1 in GIFT – A Global Inventory of Floras and Traits for macroecology and biogeography
F I G U R E 1 Conceptual framework of the Global Inventory of Floras and Traits database (GIFT). The core information in GIFT are species occurrences in geographic regions (islands, political units, protected areas, biogeographical regions) based on Floras and checklist. At the level of the geographical regions, this information is linked to geographic, bioclimatic and socioeconomic properties. At the level of the species, functional traits, taxonomic placement and phylogenetic relationships are linked. This integration of species distribution data in the form of full regional inventories and regional and species characteristics allows for a wide variety of macroecological and biogeographical analyses of taxonomic, phylogenetic and functional diversity as well as for the refinement and validation of other plant distribution and trait datasets [Colour figure can be viewed at wileyonlinelibrary.com]
Ecological traits of the world's primates database
<p>Here we present a database on some important ecological traits of the world’s primates, including home range size, locomotion type, diel activity, trophic guild, body mass, habitat type, current conservation status, population trend, and geographic realm. We compiled this information through a review of 1216 studies published between 1941 and 2018, resulting in a comprehensive, easily accessible and user-friendly database.</p>
Data from: Floral trait differentiation in Anacamptis coriophora: phenotypic selection on scents, but not on colour
<p>Current divergent selection may promote floral trait differentiation among conspecific populations in flowering plants. However, whether this applies to complex traits such as colour or scents has been little studied, even though these traits often vary within species. In this study, we compared floral colour and odour as well as selective pressures imposed upon these traits among seven populations belonging to three subspecies of the widespread, generalist orchid <i>Anacamptis coriophora</i>. Colour was characterised using calibrated photographs and scents were sampled using dynamic headspace extraction and analysed using gas chromatography-mass spectrometry. We then quantified phenotypic selection exerted on these traits by regressing fruit set values on floral trait values. We showed that the three studied subspecies were characterised by different floral colour and odour, with one of the two predominant floral volatiles emitted by each subspecies being taxon-specific. Plant size was positively correlated with fruit set in most populations, while we found no apparent link between floral colour and female reproductive success. We detected positive selection on several taxon-specific compounds in <i>A. coriophora</i> subsp. <i>fragrans</i>, whereas no selection was found on floral volatiles of <i>A. coriophora</i> subsp. <i>coriophora</i> and <i>A. coriophora</i> subsp. <i>martrinii</i>. This study is one of the first to document variation in phenotypic selection exerted on floral scents among conspecific populations. Our results suggest that selection could contribute to ongoing chemical divergence among <i>A. coriophora</i> subspecies.</p>
Measuring personality traits in Eurasian red squirrels: a critical comparison of different methods
<p>Data and R code used for the analysis of Eurasian red squirrels (<em>Sciurus vulgaris</em>) personality traits derived from open field test (activity, shyness, exploration) and capture-mark-recapture data (trappability/trap-diversity).</p>
Data from: Selection on fruit traits is mediated by the interplay between frugivorous birds, fruit flies, parasitoid wasps, and seed-dispersing ants
Every organism on Earth must cope with a multitude of species interactions both directly and indirectly throughout its life cycle. However, how selection from multiple species occupying different trophic levels affects diffuse mutualisms has received little attention. As a result, how a given species amalgamates the combined effects of selection from multiple mutualists and antagonists to enhance its own fitness remains little understood. We investigated how multispecies interactions (frugivorous birds, ants, fruit flies, and parasitoid wasps) generate selection on fruit display traits in a seed dispersal mutualism. We used structural equation models to assess whether seed dispersers (frugivorous birds and ants) exerted phenotypic selection on fruit and seed traits in the Spiny Hackberry (Celtis ehrenbergiana), a fleshy-fruited tree, and how these selection regimes were influenced by fruit fly infestation and wasp parasitoidism levels. Birds exerted negative correlational selection on the combination of fruit crop size and mean seed weight, favoring either large crops with small seeds or small crops with large seeds. Parasitoids selected plants with higher fruit fly infestation levels, and fruit flies exerted positive directional selection on fruit size, which was positively correlated with seed weight. Therefore, higher parasitoidism indirectly correlated with higher plant fitness through increased bird fruit removal. In addition, ants exerted negative directional selection on mean seed weight. Our results show that strong selection on phenotypic traits may still arise in perceived diffuse species interactions. Overall, we emphasize the need to consider diverse direct and indirect partners to achieve a better understanding of the mechanisms driving phenotypic trait evolution in multispecies interactions.
Data from: Fruit traits of pioneer trees structure seed dispersal across distances on tropical deforested landscapes: implications for restoration
<ol> <li>Pioneer trees with fleshy fruits are typically planted in restoration projects to attract frugivores as a mean to increase dispersal and accelerate forest regeneration. However, differences in fruit traits of pioneer trees can potentially influence dispersal and their restoration outcomes.</li> <li>Here we investigated the effects of bird and plant traits, and distance to forest fragments, on the seed rain using a tree-planting experiment replicated in 12 deforested sites in Brazil. Factors were fruit traits of pioneer trees (wind-dispersed, bird-dispersed with lipids or with carbohydrates, and controls) and distance (10, 50, 300 m) from forest fragments.</li> <li>We found that density and richness of birds and seeds decreased exponentially with distance from fragments, yet these effects were minor compared to the effects of fruit traits on the structure of the seed rain.</li> <li>Overall, plots with fleshy-fruited pioneers attracted much greater bird activity and seed dispersal than plots with wind-dispersal pioneers and the controls. For instance, plots with carbohydrate-rich fruits received more than twice the average species richness and density of birds and seeds of plots with lipid-rich pioneer trees, surpassing wind-dispersed pioneers by more than 80%, and controls by over 90%. Furthermore, the fruit trait treatments resulted in morphological shifts in the average traits of visiting birds. Significant differences in bill gape and flight capacities (wing-loading) were associated with the differences in the seed rain associated with each treatments.</li> <li> <i>Synthesis and applications</i>. Understanding how trait-matching processes mediating mutualistic seed dispersal by frugivores interact with distance-dependent dispersal limitation on deforested tropical landscapes is critical for improving forest restoration efforts. This is especially relevant in the context of applied nucleation. As shown here, avian seed dispersal can thus be manipulated in restoration projects in order to increase connectivity and speed up forest recovery and the provision of the multiple ecosystem services that follow forest succession.</li> </ol>
nata1iekat/GLM_invertebrate_traits_v1: GLM_invertebrate_traits_v1
<p>Trait database of aquatic invertebrate traits assigned at the genus level for taxa found in floodplain wetlands of the Wolastoq | Saint John River, New Brunswick, Canada</p>
Seed traits determine species responses to fire under varying soil heating scenarios
<p>1) Many plant species in fire-prone environments maintain persistence through fire via soil seedbanks. However, seeds stored within the soil are at risk of mortality from elevated soil temperatures during fire. Seeds may be protected from fire-temperature impacts by burial, however those buried too deeply may germinate but fail to emerge. Thus, successful post-fire seed regeneration is contingent upon a trade-off between burial depth and survival through fire.</p> <p>2) We examined the relationships between seedling emergence behaviour, seed survival, and soil temperatures during fire in 13 native and four non-native woodland species in southwestern Australia. We assessed total seedling emergence per depth, maximum seedling emergence depth and seedling emergence speed from seeds planted at seven depths (0, 1, 2, 3, 4, 5, 7 10 cm). Soil temperatures were quantified using distributed temperature sensing in optic fibre (DTS), measured continuously between 1 and 10 cm in depth (temperatures were subsequently categorised into 1 cm increments for analysis) during five experimental fires in beds with fine fuels manipulated between 8–20 t ha<sup>-1</sup>. Using seed survival and emergence success relative to soil temperatures, , we determined vulnerability of seedling emergence relative to soil temperatures generated by combustion of fuel quantities typically observed in woodlands.</p> <p>3) Maximum depth of emergence varied between species from 2 to >10 cm, with a positive linear correlation to seed mass. Maximum soil temperatures from the two highest fuel masses exceeded seed lethal thresholds (T<sub>50</sub> - representing temperatures lethal to 50% of seeds) of at least five species. Lethal temperatures exceeded at all potential emergence depths for all three grass species, and all four non-native species studied. Of the remaining 10 species, temperatures did not exceed the lethal thresholds under any of the fuel mass levels tested. We found no relationship between lethal temperature thresholds and maximum emergence depth.</p> <p>4) Our data demonstrate that seeds exhibit variation in their response to soil heating and capacity to emerge from depth, with three distinct functional responses amongst our study species, which enable persistence through, and recruitment following, fire. Such variation in species attributes and fuel mass may lead to heterogeneity (within fires) or divergent trajectories (among fires) in community response under changed fire regime.</p>
Data from: Mining the stable quantitative trait loci for agronomic traits in wheat (Triticum aestivum L.) based on an introgression line population
<p><span><span><b>Background</b>: Human demand for wheat will continue to increase together with the continuous global population growth. Agronomic traits in wheat are susceptible to environmental conditions. Therefore, in breeding practice, priority is given to QTLs of agronomic traits that can be stably detected across multiple environments and over many years.</span></span></p> <p><span><span><b>Results: </b>In this study, QTL analysis was conducted for eight agronomic traits using an introgression line population across eight environments (drought stressed and well-watered) for five years. In total, 44 additive QTLs for the above agronomic traits were detected on 15 chromosomes. Among these, <i>qPH-6A</i>, <i>qHD-1A</i>, <i>qSL-2A</i>, <i>qHD-2D</i> and<i> qSL-6A</i> were detected across seven, six, five, five and four environments, respectively. The means in the phenotypic variation explained by these five QTLs were 12.26%, 9.51%, 7.77%, 7.23%, and 8.49%, respectively. </span></span></p> <p><b>Conclusions: </b>We identified five stable QTLs, which includes <i>qPH-6A</i>, <i>qHD-1A</i>, <i>qSL-2A</i>, <i>qHD-2D</i> and<i> qSL-6A</i>. They play a critical role in wheat agronomic traits. One of the dwarf genes<i> Rht14</i>, <i>Rht16</i>, <i>Rht18</i> and <i>Rht25</i> on chromosome 6A might be the candidate gene for <i>qPH-6A</i>. The <i>qHD-1A</i> and <i>qHD-2D</i> were novel stable QTLs for heading date and they differed from known vernalization genes, photoperiod genes and earliness per se genes.</p>
Data from: Geographic scale and disturbance influence intraspecific trait variability in leaves and roots of North American understory plants
1. Considering intraspecific trait variability (ITV) in ecological studies has improved our understanding of species persistence and coexistence. These advances are based on the growing number of leaf ITV studies over local gradients, but logistical constraints have prevented a solid examination of ITV in root traits or at scales reflecting species' geographic ranges. 2. We compared the magnitude of ITV in above- and below-ground plant organs across three spatial scales (biophysical region, locality, plot). We focused on six understory species (four herbs, two shrubs) that occur both in disturbed and undisturbed habitats across boreal and temperate Canadian forests. We aimed to document ITV structure over wide ecological and geographical scales by asking: 1) What is the breadth of ITV across species range-scale?; 2) What proportion of ITV is captured at different spatial scales, particularly when local scale disturbances are considered? and 3) Is the variance structure consistent between leaf and analogous root traits, and between morphological and chemical traits? 3. Following standardized methods, we sampled 818 populations across 79 forest plots simultaneously, including disturbed and undisturbed stands, spanning four biophysical regions (~5200 km). Traits measured included specific leaf area (SLA), specific root length (SRL), and leaf and root nutrient concentrations (N, P, K, Mg, Ca). We used variance decomposition techniques to characterize ITV structure across scales. 4. Our results show that an important proportion of ITV occurred at the local scale when sampling includes contrasting environmental conditions resulting from local disturbance. A certain proportion of the variability in both leaf and root traits remained unaccounted for by the three sampling scales included in the design (36% on average) and a largest amount for SRL (54%). Substantial differences in magnitude of ITV were found among the six species, and between analogous traits, suggesting that trait distribution was influenced by species strategy and reflects the extent of understory environment heterogeneity. 5. Even for species with broad geographical distributions, a large proportion of within-species trait variability can be captured by sampling locally across ecological gradients. This has practical implications for sampling design and trait selection for both local studies and continental scale modeling.
Data from: Losing the trait without losing the signal: evolutionary shifts in communicative colour signalling
Colour signalling traits are often lost over evolutionary time, perhaps because they increase vulnerability to visual predators or lose relevance in terms of sexual selection. Here, we used spectrometric and phylogenetic comparative analyses to ask whether four independent losses of a sexually selected blue patch are spectrally similar, and whether these losses equate to a decrease in conspicuousness or to loss of a signal. We found that patches were lost in two distinct ways: either increasing reflectance primarily at very long or at very short wavelengths, and that species with additional colour elements (UV, green and pink) may be evolutionary intermediates. In addition, we found that patch spectral profiles of all species were closely-aligned with visual receptors in the receiver's retina. We found that loss of the blue patch makes males less conspicuous in terms of chromatic conspicuousness, but more conspicuous in terms of achromatic contrast, and that sexual dimorphism often persists regardless of patch loss. Dorsal surfaces were considerably more cryptic than were ventral surfaces, and species in which male bellies were the most similar in conspicuousness to their dorsal surfaces were also the most sexually dimorphic. These results emphasise the consistent importance of sexual selection and its flexible impact on different signal components through evolutionary time.
Data from: The functional trait space of tree species is influenced by the species richness of the canopy and the type of forest
Analysing how species modify their trait expression along a diversity gradient brings insight about the role that intraspecific variability plays over species interactions, e.g. competition versus complementarity. Here, we evaluated the functional trait space of nine tree species dominant in three types of European forests (a continental-Mediterranean, a mountainous mixed temperate and a boreal) growing in communities with different species richness in the canopy, including pure stands. We compiled whole-plant and leaf traits in 1719 individuals, and used them to quantify species trait hypervolumes in communities with different tree species richness. We investigated changes along the species richness gradient to disentangle species responses to the neighbouring environment, in terms of hypervolume size (trait variance), shape (trait relative importance) and centroid translation (shifts of mean trait values) using null models. Our main results showed differences in trait variance and shifts of mean values along the tree diversity gradient, with shorter trees but with larger crowns in mixed stands. We found constrained functional spaces (trait convergence) in pure stands, suggesting an important intraspecific competition, and expanded functional spaces (trait divergence) in two-species admixtures, suggesting competition release due to interspecific complementarity. Nevertheless, further responses to increasing species richness were different for each forest type, waning species complementarity in sites with limiting conditions for growth. Our results demonstrate that tree species phenotypes respond to the species richness in the canopy in European forests, boosting species complementarity at low level of canopy diversity and with a site-specific pattern at greater level of species richness. These outcomes evidence the limitation of functional diversity measures based only on traits from pure stands or general trait database values.
Plant intraspecific functional trait variation is related to within-habitat heterogeneity and genetic diversity in Trifolium montanum L.
<p>Intraspecific trait variation (ITV), based on available genetic diversity, is one of the major means plant populations can respond to environmental variability. The study of functional trait variation and diversity has become popular in ecological research, e.g. as a proxy for plant performance influencing fitness. Up to now, it is unclear which aspects of intraspecific functional trait variation (iFDCV) can be attributed to the environment or genetics under natural conditions. Here, we examined 260 individuals from 13 locations of the rare (semi-)dry calcareous grassland species Trifolium montanum L. in terms of iFDCV, within-habitat heterogeneity, and genetic diversity. The iFDCV was assessed by measuring functional traits (releasing height, biomass, leaf area, specific leaf area, leaf dry matter content, Fv/Fm, performance index, stomatal pore surface, and stomatal pore area index). Abiotic within-habitat heterogeneity was derived from altitude, slope exposure, slope, leaf area index, soil depth, and further soil factors. Based on microsatellites, we calculated expected heterozygosity (He) because it best-explained, among other indices, iFDCV. We performed multiple linear regression models quantifying relationships among iFDCV, abiotic within-habitat heterogeneity and genetic diversity, and also between separate functional traits and abiotic within-habitat heterogeneity or genetic diversity. We found that abiotic within-habitat heterogeneity influenced iFDCV twice as strong compared to genetic diversity. Both aspects together explained 77% of variation in iFDCV (Radj² = 0.77, F2, 10 = 21.66, p < 0.001). The majority of functional traits (releasing height, biomass, specific leaf area, leaf dry matter content, Fv/Fm and performance index) were related to abiotic habitat conditions indicating responses to environmental heterogeneity. In contrast, morphology-related functional traits (releasing height, biomass and leaf area) were only related to genetics. Our results suggest that both within-habitat heterogeneity and genetic diversity affect iFDCV, and are thus crucial to consider when aiming to understand or predict changes of plant species performance under changing environmental conditions.</p>
Data from: A trait-based approach to assessing resistance and resilience to wildfire in two iconic North American conifers
<ol> <li><span>Ongoing changes in fire activity have the potential to drive widespread shifts in Earth's vegetation. Plant traits and vital rates can be indicators of the ability of individuals to survive fire (resistance) and populations to persist (resilience) following fire and provide a <a>method </a>to assess vulnerability to fire-driven vegetation shifts.</span></li> <li><span>In 15 study sites spanning climatic gradients in the southern Rocky Mountains, U.S.A., we quantified variation in key traits and vital rates of two co-occurring, widely-distributed conifers (<i>Pinus ponderosa </i>Douglas ex. P. Lawson & C. Lawson and <i>Pseudotsuga menziesii </i>(Mirb.) Franco).<i> </i>We used mixed models to explain inter- and intraspecific variation in tree growth, survival, bark thickness, and seed cone production, as a function of species, tree life stage (i.e., diameter, height, and age), average climate, local competition, and site conditions.</span></li> <li><span><i>P. ponderosa </i>was predicted to survive low-severity fire at a 23% earlier age than <i>P. menziesii</i>. <i>P. ponderosa</i> had thicker bark and more rapid juvenile height growth, traits conferring greater fire resistance. In contrast, <i>P. menziesii </i>was predicted to produce seed cones at a 28% earlier age than <i>P. ponderosa</i>. For both species, larger individuals were more likely to survive fire and to produce cones. For <i>P. ponderosa</i>, cone production increased where average actual evapotranspiration (AET) was higher and local competition was lower. More frequent cone production on productive sites with higher AET is an important and underappreciated mechanism that may help to explain greater resilience to fire in these areas.</span></li> <li><span><i>Synthesis</i>: Our analyses indicated that many plant traits and vital rates related to fire differed between <i>P. ponderosa </i>and <i>P. menziesii</i>, with trade-offs between investment in traits that promote individual defence to fire and those that promote recolonization of disturbed sites. Future changes in fire activity will act as a filter throughout North American forests, with our findings providing insight into which individuals and populations of two iconic species are most vulnerable to future change and offering a framework for future inquiry in other forests facing an uncertain future.</span></li> </ol>
Leaf traits data from Gongga Mountain, China
<p>This dataset reports on leaf traits of plants and climate data used in the paper: Xu et al. (under review in Tree Physiology) at 18 sites from 1143 to 4361 m in Gongga Mountain region (29° 22' to 29° 55' N and 101° 1' to 102° 9' E). The trait data were collected during the active growing season in 2018 and 2019, as part of a Chinese research project. The vegetation type changes from deciduous broad-leaved forest dominated by Betulaceae, Urticaceae, Caprifoliaceae and Rosaceae, to evergreen needle-leaved forest and deciduous shrubland dominated by Pinaceae and/or Rosaceae and Ericaceae with increasing elevation. Relevant dataset information can be found: <a href="https://github.com/Huiying-Xu/PTG">https://github.com/Huiying-Xu/PTG</a></p>
Data from: Are ecophysiological adaptive traits decoupled from leaf economics traits in wetlands?
Wetland plants have developed a suite of traits, such as aerenchyma, radial oxygen loss, and leaf gas films, to adapt to wetland environment featured by e.g. a low redox potential and a lack of electron acceptors. These ecophysiological traits are critical for the survival and physiological functioning of wetland plants. Most studies on these traits typically focus on a single trait and a single or few species at the time. Next to these traits, traits of the leaf economics spectrum (LES) that reflect resources acquisition and allocation in plant species have also been frequently measured in wetlands. However, the performance of the LES has rarely been examined among wetland plants. Both suites of traits are critical for ‐but affect different aspects of‐ wetland plant functioning and survival. The interactions between them, potentially causing synergies or trade‐offs, reflect wetland plant strategies to simultaneously deal with stress tolerance and resources utilization, and have ramifications for the functioning of wetland ecosystems. Based on a literature review and quantitative analysis of available data, we provide evidence suggesting that LES and ecophysiological traits may be decoupled (e.g., for root porosity & radial oxygen loss vs. leaf nitrogen) or coupled (e.g., for iron tolerance vs. SLA) in wetlands, depending on the trait combination concerned. This rather complex relationship between wetland adaptation traits and LES traits indicates that there can be multiple mechanisms behind the strategies of wetland plants. We further illustrate how adaptation and LES traits together contribute to wetland ecosystem functions, such as denitrification and methane emission. We highlight that both suites of traits should be considered simultaneously when applying trait‐based methods to wetland ecology.
Trait strengthening in mussels
<p><span><span><span><span><span><span><span><span><span><span><span>Plastic pollution is ubiquitous with increasing recognition of its direct effects on species' fitness. Little is known, however, about its more subtle effects, including the influence of plastic pollution on the morphological, functional and behavioural traits of organisms that are central to their ability to withstand disturbances. Among the least obvious but most pernicious forms of plastic-associated pollution are the chemicals that leach from microplastics. Here, we investigate how such leachates influence species' traits by assessing functional trait compensation across four species of intertidal mussels, through investigations of byssal thread production, movement and aggregation behaviour for mussels held in natural seawater or seawater contaminated by microplastic leachates. We found no evidence for compensation of functional traits, but for each species, microplastic leachates reinforced one trait while others remained unaffected. Two species (<i>Perna perna</i> and <i>Mytilus galloprovincialis</i>), were characterized by a resistance strategy to disturbance; they produced more byssal threads in microplastic leachate seawater than in control seawater, while motility and aggregation remained essentially unaffected. In contrast, the other two species (<i>M. edulis</i> and <i>Choromytilus meridionalis</i>), showed a resilience strategy to disturbance through reduced motility and aggregation in leachate seawater, while byssal thread production remained unaffected. These results suggest that the competitive abilities of intertidal mussels may be related to their sensitivity to microplastic leachates or other chemical disturbance. Importantly, the trait strengthening observed will affect the ability of these mussels to form spatially patterned beds, with implications for their quality as autogenic ecological engineers or foundation species. Thus, our findings have implications for the ability of mussel beds to tolerate disturbance, and hence for central ecosystem services, such as their ability to support biodiversity and enhance secondary and tertiary production. The results suggest that an inconspicuous aspect of plastic pollution has the potential to influence other communities and ecosystems in powerful ways.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Variation in thermal traits describing sex determination and development in Western Australian sea turtle populations
<p>Both the development rate and sex of sea turtle embryos depend on incubation temperature, as all species are ectotherms and show temperature-dependent sex determination (TSD). Theory predicts that selection should act on populations to optimise developmental times and primary sex ratios. In this study, we use a consistent methodology to measure development rates and model the reaction norm that defines TSD in three populations of flatback turtles (<i>Natator depressus) </i>and two populations of green turtles (<i>Chelonia mydas</i><i>) </i>that nest in Western Australia. We show that development rates vary between and within species, likely reflecting adaptation to local beach microclimates. Similarly, the parameters that define the TSD reaction norm vary between the two species, and among <i>N. depressus</i> populations, with pivotal temperatures (T<sub>PIV</sub>) varying by 1.5 °C (29.6 – 31.1 °C), and the transitional ranges of temperatures (TRT) varying by 1.4 – 3.3 °C. In contrast, we found a similar T<sub>PIV</sub> for the two <i>C. mydas </i>populations, but a wider TRT at the northernmost tropical rookery. Our findings support the view that thermal parameters in geographically-separated populations of sea turtles are broadly similar, but the variation we describe will be highly relevant for predicting how populations will respond to climate change.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.