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145 results for “climatic differences”
Data from: Phenological responsiveness to climate differs among four species of Quercus in North America
1.The timing of the seasonal activity of organisms is a tractable indicator of climate change. Many studies in North America have investigated the role of temperature on the onset date of phenological transitions in temperate deciduous trees and found that the onset of leafing and flowering in numerous species has occurred earlier in recent years, apparently in response to higher temperatures in winter and spring. 2.Few studies have examined the climatic and biogeographic drivers of phenological responses in water-limited ecosystems or explored inter-specific variation in responses of phenological metrics other than the timing of onset, such as the periodicity or duration of phenological activity. 3.This study used phenological observations of four species of Quercus contributed to the USA National Phenology Network database from 2009-2014 to investigate how responses to climate (temperature and precipitation) and geographic location (latitude, longitude and elevation) varied among two western North American species (Q. agrifolia and Q. lobata) and two eastern and central North American species (Q. alba and Q. rubra). 4.Within years, in species in the western, water-limited ecosystems, the phenological phases observed here (bud break, flowers or flower buds) tend to occur intermittently throughout the growing season, and each event is of longer duration than the same phenophases of the temperate-zone species, rendering a single onset date an incomplete metric with which to track responsiveness or to compare species. By contrast, the eastern/central U.S. species were phenologically more responsive than the western species to spatial and temporal variation in winter, spring, and fall precipitation and maximum temperature. 5.Synthesis: Within and between regions these congeners exhibited a diversity of responses to seasonal temperature and precipitation. This indicates that for predictive model development it is critical to understand how each underlying driver influences species that are adapted to different climatic regimes. These results underscore the value of studying a range of phenological metrics and species from a variety of ecosystems to better predict phenological responses to short-term variation and to long-term change in climate.
Data from: Phylogeography in continuous space: coupling species distribution models and circuit theory to assess the effect of contiguous migration at different climatic periods on genetic differentiation in Busseola fusca (Lepidoptera: Noctuidae)
Current population genetic models fail to cope with genetic differentiation for species with large, contiguous and heterogeneous distribution. We show that in such a case, genetic differentiation can be predicted at equilibrium by circuit theory, where conductance corresponds to abundance in species distribution models (SDM). Circuit-SDM approach was used for the phylogeographic study of the lepidopteran cereal stemborer Busseola fusca Füller (Noctuidae) across sub-Saharan Africa. Species abundance was surveyed across its distribution range. SDM models were optimized and selected by cross validation. Relationship between observed matrices of genetic differentiation between individuals, and matrices of resistance distance was assessed through Mantel tests and redundancy discriminant analyses (RDA). A total of 628 individuals from 130 localities in 17 countries were genotyped at 7 microsatellite loci. Six population clusters were found based on a Bayesian analysis. The eastern margin of Dahomey Gap between East and West Africa was the main factor of genetic differentiation. The SDM projections at present, last interglacial and last glacial maximum periods were used for estimation of circuit resistance between locations of genotyped individuals. For all periods of time, when using either all individuals or only East-African individuals, partial Mantel r and RDA analyses conditioning on geographic distance were found significant. Under future projections (year 2080), partial r and RDA significance were different. From this study, it is concluded that analytical solutions provided by circuit theory are useful for the evolutionary management of populations and for phylogeographic analysis when coalescence times are not accessible by approximate Bayesian simulations.
Data from: What is a mild winter? Regional differences in within-species responses to climate change
Climate change is known to affect ecosystems globally, but our knowledge of its impact on large and widespread mammals, and possibly population-specific responses is still sparse. We investigated large-scale and long-term effects of climate change on local population dynamics using the wild boar (Sus scrofa L.) as a model species. Our results show that population increases across Europe are strongly associated with increasingly mild winters, yet with region-specific threshold temperatures for the onset of exponential growth. Additionally, we found that abundant availability of critical food resources, e.g. beech nuts, can outweigh the negative effects of cold winters on population growth of wild boar. Availability of beech nuts is highly variable and highest in years of beech mast which increased in frequency since 1980, according to our data. We conclude that climate change drives population growth of wild boar directly by relaxing the negative effect of cold winters on survival and reproduction, and indirectly by increasing food availability. However, region-specific responses need to be considered in order to fully understand a species' demographic response to climate change.
Data from: Predicted effects of climate factors on mountain species are not uniform over different spatial scales
The selection of relevant factors and appropriate spatial scale(s) is fundamental when modelling species response to climate change. We evaluated whether the effects of climate factors on species distribution/occurrence are consistently modelled over different spatial scales in birds, and used a two-scale approach to identify species-climate correlations unlikely to represent causal effects. We used passerine birds inhabiting mountain grassland in the Apennines (Italy) as a model. We surveyed four grassland species at 400 sampling points, and built habitat selection models (territory scale) and distribution models (7 algorithms, landscape scale). We compared the effect of climatic predictors on occurrence/distribution highlighted by models over to the two spatial scales, and with the effects supposed a priori based on the climatic niche of each species. Models at the territory level included at least one climatic predictor for three species; the observed effect of climatic predictors was seldom consistent with supposed effects. At the broadest scale, distribution models for all species included climatic predictors, with varying consistence with supposed effects and findings at the finer scale. Despite the importance of climate for species distribution, occurrence could be more directly related to other factors, with important implications for understanding/predicting the impacts of climate/environmental changes. Our approach revealed key variables for grassland birds, and highlighted the scale-dependent perceived importance of climate. At the local scale, climate effects were weak or hard to interpret. We found a general lack of consistence between supposed and observed effects at the territory level, and between landscape and territory models. Our results show the importance of predicting the potential effect of climatic factors prior to the analyses, carefully selecting ecologically meaningful variables and scales, and evaluating the nature and scale of climate-species links. We call for caution when predicting under future climates, especially when mechanistic effects and consistency across scales lack.
Data from: Variation in growth and defence traits among plant populations at different elevations: implications for adaptation to climate change
Alpine plants occurring at high elevation are vulnerable to ongoing climate change, yet relatively little is known about the potential for high‐elevation species to adapt to changing environmental conditions. In particular, the extent to which high‐elevation plants will be able to resist predicted increases in the intensity of biotic interactions, such as herbivory, remains unclear. Species distributed across broad elevational ranges provide an opportunity to investigate evolutionary mechanisms and traits involved in adaptation to varying abiotic and biotic environments. This study focused on the perennial alpine plant Arabis alpina and combined field surveys and climate‐chamber experiments to test for intraspecific genetic divergence in traits related to growth and defence against herbivores. We screened multiple populations from low, intermediate and high elevations across a broad geographic area, characterising differences in growth form, leaf structural traits, palatability for herbivores and defensive chemistry. We then quantified the proportion of variation explained by elevation and population‐level effects. Our results document within‐species genetic divergence in multiple traits relevant for adaptation to the different abiotic and biotic pressures experienced at low and high elevations. Rates of herbivore damage declined with increasing elevation in the field, but plants from high‐ and intermediate‐elevation populations were generally more palatable for specialist herbivores than those from low‐elevation populations in feeding assays. Elevational clines were also observed in several glucosinolate defence compounds, and leaf herbivory more strongly induced glucosinolates in plants from high‐elevation populations than in those from low‐elevation populations. Leaf trichome density and growth form also diverged among populations contributing to growth‐defence phenotypes associated with different elevations. However, populations from similar elevations often differed significantly in both growth and defence‐related traits, with trait variation often better explained by population‐level effects than by elevation alone. Synthesis: Arabis alpina exhibits patterns of genetic variation in growth and defence traits consistent with adaptation to different elevations. However, populations from similar elevations also diverged in many of these ecologically relevant traits. Together, the extent of the observed trait variation suggests that this alpine species has considerable potential to adapt to a changing biotic environment.
Data from: Phenological, but not social, variation associated with climate differences in a eusocial sweat bee, Halictus ligatus, nesting in southern Ontario
Studies of annual and geographic variation in eusocial bee populations suggest that more stringent environmental conditions result in stronger reproductive skew favouring queens, while moderate conditions favour increasing worker reproduction. To test these predictions, we compared the phenology and colony development of H. ligatus nesting in St. Catharines, Ontario, Canada to a previously studied aggregation 90 km north of St. Catharines, in Victoria, Ontario. Despite the close proximity of these two locations, St. Catharines has markedly shorter winters and longer summers. Comparisons between St. Catharines in 2006 and Victoria in the 1980s and 1990s incorporate both geographic differences in climate and temporal differences due to climate change. We predicted that St. Catharines foundress queens should emerge from hibernation and initiate nests earlier in spring, giving them time to produce more workers. Since earlier studies indicated that queens have difficulty suppressing worker reproduction in larger colonies, we also predicted higher rates of worker ovarian development in St. Catharines. In spring and summer 2006, we excavated 65 H. ligatus nests, comparing their contents to 713 specimens collected in pan traps. As predicted, nests were initiated about a month earlier in St. Catharines than in Victoria, but contrary to prediction, fewer workers were produced in St. Catharines. St. Catharines workers were just as likely to have developed ovaries as Victoria workers. About 40% of St. Catharines workers were classified as reproductive, and larger reproductive workers tended to have higher ovarian scores. Early queen mortality in the longer nest cycle of St. Catharines bees may have enhanced opportunities for worker reproduction despite their smaller numbers. Novel features of H. ligatus sociobiology in St. Catharines included evidence that queens can initiate new nests following the loss of their first brood, overlap between worker and gyne production within some nests, and high rates of independent nest founding by worker-sized females, suggesting that many worker-brood females overwinter. Overall, the distinctly warmer climate of St. Catharines compared to Victoria led to earlier nest initiation and lengthening of the flight season, but not to the predicted differences in colony social organisation or queen-worker reproductive skew. A second objective of our study was to assess how well pan trap collections capture important information about demographic and social parameters important in assessing social variability in sweat bees. Nest excavations and pan traps produced similar results, suggesting that pan traps are a good alternative when nest excavations are impossible.
Data from: Phenology differences between native and novel exotic-dominated grasslands rival the effects of climate change
1. Novel ecosystems can differ from the native systems they replaced. We used phenology measures to compare ecosystem functioning between novel exotic-dominated and native-dominated grasslands in the central US. 2. Phenology, or timing of biological events, is affected by climate and land use changes. We assessed how phenology shifts are being altered by exotic species dominance by comparing remotely sensed Normalized Difference Vegetation Index (NDVI) within growing seasons at exotic- and native-dominated sites along a latitudinal gradient. Exotic species were dominated by the C3 species functional group in the north and the C4 species functional group in the south. 3. Date of senescence was an average of 36 days later in exotic than native-dominated grasslands, and this effect was consistent across latitudes. 4. Exotic-dominated grasslands greened up an average of 10.7 days earlier than native-dominated grasslands, but this effect was highly dependent on latitude and the plant functional group that dominated at that latitude. Greenup differed between native and exotic sites the most in central and northern regions that had dominant C3 grasses. 5. We estimated the effects of an increase in global temperatures on green-up and senescence with a space-for-time substitution, and by comparing growing degree day differences between historical average temperatures and +2.5° C. Green-up was significantly earlier and senescence was significantly later with a 2.5 ° C increase in temperature. The native-exotic difference was significantly greater than the difference due to increased temperature for senescence, but not for green-up. 6. Synthesis and applications. Native to exotic plant conversions in central US grasslands have led to highly altered phenology, especially in terms of senescence, and this effect should be considered along with global warming in models moving forward. This conversion will have to be considered in developing estimates of how global change will affect phenology in locations where exotics are present, especially in cases where their abundance is increasing concurrent with climate change. Global change models and policy should consider exotic species invasion as an additional widespread factor behind changes in phenology.
Diversity of cellular slime molds (dictyostelids) in the Fanjing Mountain Nature Reserve and geographical distribution comparisons with other representative nature reserves in different climate zones of China
<p>Protected areas are widely considered an essential strategy for biodiversity conservation. Dictyostelids are unique soil protists known to have important ecological functions, but the relationship between dictyostelid diversity within protected areas remains poorly understood, especially on a large scale. Herein, we report data on the distribution of dictyostelids, identified with ITS + SSU rRNA molecular and morphology-based taxonomy, from soil samples collected in the Fanjing Mountain protected area of Guizhou Province, Southwest China. We compared the dictyostelids biodiversity data with similar data from previously sampled sites in other protected areas in China. We identified four species of dictyostelids belonging to three genera (<em>Dictyostelium</em>, <em>Heterostelium</em>, and <em>Polysphondylium</em>)and herein provide information on the taxonomy of these species information. Two species (<em>Heterostelium pallidum</em> and <em>Dictyostelium purpureum</em>) are common and widely distributed throughout the world, but one species (<em>Polysphondylium fuscans</em>) was new to China. Our data indicate that the distribution patterns of dictyostelids are most influenced by vegetation and temperature. Overall, the similarity index between Baiyun Mountain in Henan Province and Fanjing Mountain in Guizhou Province, located at approximately the same longitude, is the highest, and the similarity coefficients of family, genus and species are 100%, 100% and 12.5%, respectively. From a species perspective, species in the same climate zone are not closely related, but obvious geographical distributions are evident in different climate zones. This preliminary study provided evidence of the ecological adaptation of dictyostelids to different biological niches.</p>
Using different body size measures can lead to different conclusions about the effects of climate change
<div> <div> <div> <div> <p><strong>Aim:</strong> Declining animal body size has been proposed as a general response to increasing global temperatures that should be observed across a broad biogeographical scale. However, published studies have shown large variation in both the magnitude and direction of body size trends. We aim to investigate how the way body size is measured (body mass, structural size, body condition) may contribute to differences in body size trends between studies.</p> <p><strong>Location:</strong> Semi-arid Australia.</p> <p><strong>Taxon: </strong>White-plumed honeyeater (Ptilotula penicillatus).</p> <p><strong>Methods:</strong> We studied two separate populations of P. penicillatus over 30 years to investigate the associations between weather and body size. We first investigated how body mass has been affected by weather conditions at each site and then determined how these same local weather conditions affected the constituent components of body mass (structural size and body condition).</p> <p><strong>Results: </strong>The magnitude and direction of weather effects differed with the measure of body size used. Average structural size (wing length) increased with increasing temperatures while average body condition decreased. As body mass is a composite of structural size and body condition, the magnitude and direction of body mass trends was affected by trends in these two other traits. For example, differences in temperature effects on structural size between our two sites led to clear differences in body mass trends.</p> <p><strong>Main Conclusions:</strong> Trends in body size will be strongly affected by the choice of body size measure used in analyses. Change in body mass can be particularly difficult to interpret as it will be a composite of changes in both structural size and body condition. Our results indicate that it is difficult to compare studies using different measures of body size. Using consistent measures of body size will be important to better understand the general effects of climate change on body size.</p> </div> </div> </div> </div>
A specialist bee and its host plants experience phenological shifts at different rates in response to climate change
<p>Changes in climate can alter the phenology of organisms, potentially decoupling partners within mutualisms. Previous studies have shown that plant and pollinator phenologies are shifting over time, but these shifts have primarily been documented for generalists and within small geographic regions, and the specific climatic cues regulating these shifts are not well-understood. We examined phenological shifts in a specialist pollinator and its host plant species over a 117-year study period using a digitized dataset of over 4,000 unique collection records. We assess how climatic cues regulate these organisms' phenologies using PRISM weather data associated with each record. We tested the hypothesis that rates of phenological change would be greater at northern latitudes. We found that the phenology of the specialist bee pollinator Habropoda laboriosa is changing over time, but at different rates across its range. Specifically, phenology is advancing to a greater degree in more northern populations, with increasing phenological advances of 0.04 days/year with each degree of latitude, and with a delay in phenology in more southern populations. In contrast, only one species in the host plant genus Vaccinium is experiencing phenological change over time. For this plant, rates of change are also variable across latitudes, but in a pattern opposite that of the bee; while phenology is advancing across its range, rates of advance are highest in more southern populations, with decreasing phenological advances of 0.01 days/year with each degree of latitude. The phenologies of both the bee and three of four Vaccinium spp. were regulated primarily by spring temperature, with phenologies overall advancing with increasing temperature, and with the strongest responses shown by the bee in northern populations. Our study provides partial support for the hypothesis that phenologies advance most at northern latitudes, but demonstrates that pollinators and plants do not adhere similarly to this prediction. Additionally, we illustrate the potential for phenological mismatch between a specialist pollinator and its host plants by showing that plants and pollinators are advancing their phenologies at different rates across space and time and with differing responses to changing climatic cues.</p>
Distances, climatic differences, and vegetation similarities of alpine grasslands in Europe
<p>The importance of environmental difference among sites and dispersal limitations of species to the explanation of diversity differs among biological systems and geographical regions. We hypothesized that climate and then dispersal limitation will predominantly explain the similarity of alpine vegetation at increasing distances between pairs of regions at sub-continental extent. We computed the similarity of all pairs of 23 European mountain regions below 50°N after dividing the species lists of each region by calcareous or siliceous substrates. Distance decay in similarity was better fitted by a cubic polynomial than a negative exponential function, and the fit was better on calcareous than on siliceous substrate. Commonality analysis revealed that the proportion of explanation of beta diversity by climatic difference had unimodal patterns on a gradient of increasing distance between regions, while explanation by dispersal limitation had consistently rising patterns on both substrates. On siliceous substrate, dispersal limitation explained more of the variation in beta-diversity only at longer distances, but it was predominant at all distances on calcareous substrate. The steeper response to distance at <1600 km and >2600 km may indicate dispersal limitation at different temporal scales, and the uptick in the response to distance at the longest distances may reflect how isolated some regions have been before and since the Last Glacial Maximum.</p>
Data for "An Ensemble-Based Statistical Methodology to Detect Differences in Weather and Climate Model Executables" Part 1/2
<p>Ensemble simulations from the weather and climate model COSMO. The data has been used for model verification cases in the corresponding paper (https://doi.org/10.5194/gmd-2021-248).</p> <p>The data is partitioned into the following parts:</p> <ol> <li>gpu_dycore.tar.gz<br> 5-day ensemble (600 members) produced with COSMO 5.09 GPU version in double precision.</li> <li>cpu_nodycore.tar.gz<br> 5-day ensemble (200 members) produced with COSMO 5.09 CPU version in double precision.</li> <li>gpu_dycore_sp.tar.gz<br> 5-day ensemble (200 members) produced with COSMO 5.09 GPU version in single precision.</li> </ol> <p>The second part of the dataset with the diffusion ensembles can be found here: https://doi.org/10.5281/zenodo.6355647</p>
Insolation and CO2 impacts on the spatial differences of the MIS-9 and MIS-11 climate between monsoonal China and central Asia
<p>The model outputs we use are those performed in Yin & Berger (2012) where the climate of the last nine interglacials were simulated with the LOVECLIM model. The model outputs for MIS-11 and MIS-9 are used here to study the climate conditions in mid and eastern Asia.</p>
Model data - Impact of Ural blocking on early-winter climate variability under different Barents-Kara sea ice conditions
<p>Model data for JGR paper : Impact of Ural blocking on early-winter climate variability under different Barents-Kara sea ice conditions</p>
Algorithmically Detected Rain-on-Snow Flood Events in Different Climate Datasets: A Case Study of the Susquehanna River Basin
<p>This archive contains masked data over the Susquehanna River Basin and associated Python code to reproduce the findings of the manuscript "Algorithmically Detected Rain-on-Snow Flood Events in Different Climate Datasets: A Case Study of the Susquehanna River Basin." Additional water year analysis not included in the manuscript are also tarred in this archive.</p>
Twin Worlds, Divergent Fates: How Obliquity has differently shaped Pluto's and Triton's landscapes and climates
<p>Netcdf files : simulations of Pluto and Triton (Fig. 3)</p> <p> </p>
Mediterranean Sea Climatic Indices - Differences of two 30-years averages of T/S, OHC/OSC Anomalies
<p>Climatic indices for the Mediterranean Sea (6.25W-36.5E, 30N-46N) from 1950 to 2015. The file<br> "Med_Climatic_Indices_Climashift_30yrs.tar.gz" contains : a) an ascii file named "inventory_Climashift_30yrs.txt" which lists all the available indices, and b) a directory named "Climashift_30yrs" with the indices under the following structure:</p> <ul> <li>Climashift_30yrs/Anomalies/Annual/Variable_decade2_decade1_allmonths_z1_z2.nc</li> <li>Climashift_30yrs/Anomalies/Seasonal/ Variable_decade2_decade1_season_z1_z2.nc</li> <li>Climashift_30yrs/Vertical_Averages/Annual/Variable_decade2_decade1_allmonths_z1z2.nc</li> <li>Climashift_30yrs/Vertical_Averages/Seasonal/Variable_decade2_decade1_season_z1z2.nc</li> </ul> <p>The Variable naming is:</p> <ul> <li> Tanomclimashift: Temperature anomaly difference between decade2 and decade1</li> <li> Sanomclimashift: Temperature anomaly difference between decade2 and decade1</li> <li> Tvavgclimashift: Vertically averaged temperature anomaly difference between decade2 and decade1</li> <li> Svavgclimashift: Vertically averaged salinity anomaly difference between decade2 and decade1</li> <li> OHCclimashift: Ocean Heat Content anomaly difference between decade2 and decade1</li> <li> OSCclimashift: Ocean Salt Content anomaly difference between decade2 and decade1</li> </ul> <p> <br> Other naming:</p> <ul> <li>decade1: stands for 19501979</li> <li>decade2: stands for 19802015</li> <li>allmonths: 0112 (all months from January to December)</li> <li>season: 0103 for winter, 0406 for spring, 0709for summer, 1012 for autumn</li> <li>z1z2: vertical layer between z1 and z2 depths</li> <li>z1, z2: standard depth levels</li> </ul> <p>Example:</p> <ul> <li>Sanomclimashift_19802015_19501979_0112_5_4000.nc, is the annual salinity anomaly difference between 1980-2015 and 1950-1970 from 5 to 4000 m.</li> </ul> <p><br> </p>
Data for: Global coupled climate response to polar sea ice loss: evaluating the effectiveness of different ice-constraining approaches
<p>This is the data for the paper titled "Global coupled climate response to polar sea ice loss: Evaluating the effectiveness of different ice-constraining approaches".</p>
Fig. 2 Conceptual differences among proposed niche overlap analyses. Imagine a in A novel method to calculate climatic niche similarity among species with restricted ranges-the case of terrestrial Lycian salamanders
Fig. 2 Conceptual differences among proposed niche overlap analyses. Imagine a set of three species with different preferences along an environmental gradient. Using SDM projections, it is possible to derive for each species a probability distribution across the gradient. Comparing two species as proposed by Warren et al. (2008), the overlap (grey area in the middle panel) of their respective probability distributions in geographic space is computed (pair-wise niche overlap). In our jackknife approach, a probability distribution derived from all species records is compared to a probability distribution derived from all minus one species. The 1−the resulting overlap value reflects the relative contribution of the omitted species to the entire probability distribution (grey area in the lower panel) and can be used as measure to rank all species when omitting them iteratively. Note that these specific indices are comparable only across each method but not among the different approaches
Climate differently influences genomic patterns of two sympatric marine fish species
<p><span><span><span><span><span><span><span><span><span><span><span>1- Climate influences population genetic variation of marine species. Capturing those impacts remains challenging for marine fishes dispersing over a large geographic scale spanning steep environmental gradients. This requires an extensive spatial sampling of individuals or populations, representative of seascape heterogeneity, combined with a set of highly informative molecular markers able to reveal climatic-associated genomic variations.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>2- We explored how space, dispersal and environment shape the genomic patterns of two marine fish species. We hypothesized that population structure and climate-associated genomic signatures of selection will be stronger in the less mobile species, as restricted gene flow tends to facilitate the fixation of locally adapted alleles.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>3- To investigate our hypothesis, we genotyped two species that share a common environment but have contrasting dispersal abilities, the white seabream (<i>Diplodus sargus</i>) and striped red mullet (<i>Mullus surmuletus</i>). We collected 823 samples across the Mediterranean Sea, which ranks among the oceanic basins the most affected by climate change and human pressures. We used genotyping by sequencing (GBS) to detect 8 206 Single Nucleotides Polymorphisms (SNPs) for seabream and 2 794 for mullet. For each species, we identified highly differentiated genomic regions and disentangled the relative contribution of space, dispersal and environmental (climate, productivity) variables on genetic structure to test the prevalence of gene flow and local adaptation<b><i>.</i></b></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>4- We observed contrasted patterns of gene flow and adaptive genetic variation between the two species. The seabream showed a separate Alboran sea population but further panmictia across the Mediterranean Sea, while the mullet revealed additional differentiation. The within-Mediterranean differentiation of mullet was significantly correlated to summer – and winter temperatures as well as productivity. Functional annotation of climate-associated outlier SNPs then identified candidate genes involved in heat tolerance that could be examined to further predict species' responses to climate change.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>5- Our results illustrate the key steps of a comparative seascape genomics study that aims to unravel the evolutionary processes at play in marine species, in order to better anticipate their response to climate change. Defining population adaptation capacities and climatic niches can then serve to include complementary evolutionary processes in species conservation planning. </span></span></span></span></span></span></span></span></span></span></span></p>
ScienceDex guides
Understand access before you commit
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.