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45 results for “Glaciation”
Coupled climate-glacier modelling of the last glaciation in the Alps: modelling data
<p>This dataset contains key distributed 2D variables resulting from the modelling of the Alpine Ice Field over the last glacial cycle from Jouvet and al. (2023, 10.1017/jog.2023.74), including basal surface topography, ice thickness, pressure-adjusted basal temperature, basal and surface ice flow speeds. The results are given on a raster grid in UTM system of coordinate with a spatial resolution of 2 km and a temporal resolution of 100 year. The data are compiled in netCDF.</p> <p>As explained in the paper, the model was designed to match LGM evidence. Modelled results related to intermediate states and to the Holocene must be interpreted with caution considering the relative coarse resolution (2 km). Small ice caps aside the main Alpine Icefield (except the Jura) were excluded.</p>
Accelerated change in the glaciated environments of western Canada revealed through trend analysis of optical satellite imagery (Polygons)
<p>Automatically generated dataset of glacier outlines from the journal article: "Accelerated change in the glaciated environments of western Canada revealed through trend analysis of optical satellite imagery"</p> <p>Research paper: https://www.sciencedirect.com/science/article/pii/S0034425721005824</p> <p>More information can be found here: https://github.com/bevingtona/glacier_change_western_canada</p>
Dataset for 'Valley Networks and the Record of Glaciation on Ancient Mars'
<p>Supplementary information (in pdf format, ~800 kb) containing the model, setup, and parameter analysis supporting the manuscript 'Valley Networks and the Record of Glaciation on Ancient Mars'. </p> <p>Includes a detailed table of parameters with references. </p>
Soil geochemistry and microbial community data from glaciated and potential glacial refugia sites in the McMurdo Dry Valleys, Antarctica (1993-2019)
A study was conducted to examine soil microbial communities and associated geochemical parameters at potential glacial refugia and glaciated control sites throughout the McMurdo Dry Valleys region of Antarctica. Soil samples were collected as part of ongoing long-term monitoring efforts by the McMurdo Dry Valleys Long Term Ecological Research program (MCM LTER). The oldest samples used in this study were collected during the 1993-1994 austral summer, and the newest from the 2018-2019 austral summer. "Refugia" sites were selected based on geographical positions and elevations indicative of potential glacial refugia status. Each refugia site was paired with a lower elevation "glaciated" site in the same dry valley that was not likely to have functioned as a refugium. Six replicate soils per sampling site were sequenced with 16S primers following Earth Microbiome Project protocols, filtered using the DADA2 pipeline, and clustered to amplicon sequence variant using the SILVA reference database to generate the microbial classification table included herein. Soil samples were also analyzed for various geochemical parameters as part of this study, which include P, K, NO3-, gravimetric water content, percent organic matter, pH, and electroconductivity.
Fig. 2 in Mitochondrial DNA reveals the impact of Pleistocene glaciations on a widespread palearctic bat species
Fig. 2 Chronograms, resulting from BI analysis of the four selected Hypsugo marker sequences ND1 (a), CytB (b), COI (c), and 16 S RNA (d). Only lineage A and B were detected in all four marker datasets. The dots denote nodes with posterior probability value equal or above 0.95. Other nodes were below the value we designated as reliable to successfully infer phylogenetic relations between detected lineages (0.95). The scale bar indicates approximate age in millions of years
Fig. 3 in Mitochondrial DNA reveals the impact of Pleistocene glaciations on a widespread palearctic bat species
Fig. 3 Median-joining haplotype networks for the four marker sequences ND1 (a), CytB (b), COI (c), and 16 S RNA (d). Smaller coloured circles represent a single sequence, while the larger represent two or three. Hala refers to H. alaschanicus and Hstu to H. stubbei
Fig. 1 in Mitochondrial DNA reveals the impact of Pleistocene glaciations on a widespread palearctic bat species
Fig. 1 (a) Geographic origin of assigned Hyspugo savii sequences. For some sequences, only vague localities were available, and the placement therefore might be unprecise (see Online Resource 1). + marks the type locality of H. savii (Pisa, Italy). Projected lineage occurrence areas (coloured polygons) were created using buffer zones of approximately 200 km around each data point following anecdotal citations of migration distance (Juste and Paunović 2016; Dietz and Kiefer 2016) in QGIS v. 3.4.14. Question marks denote areas, where lineage distribution is at present unknown. (b) A H. savii individual photographed near Dragonja River, SW Slovenia, in 2018 by Jan Gojznikar. (c) MCC tree obtained by using the concatenated dataset. Posterior probabilities are shown next to their respective nodes. Value of the scale bar refers to million years before present. Squared tips indicate a concatenated sequence of a single individual, whilst triangles denote multiple concatenated sequences
Data from: Multiple refugia from penultimate glaciations in East Asia demonstrated by phylogeography and ecological modelling of an insect pest
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Holwick Drumlin River Tees Glaciated Valley
More information at http://www.bbc.co.uk/schools/gcsebitesize/geography/glacial_landscapes/glacial_deposition_landforms_rev1.shtml Source: Objaverse 1.0 / Sketchfab
Widespread glacier advances across the Tian Shan during Marine Isotope Stage 3 not supported by climate-glaciation simulations
<p>This dataset shows the modeled ice extent over the Tian Shan during the present, MIS 2, MIS 3 interstadial, and MIS 3 stadial based on a 250m resolution of PISM model forced by the outputs from the NorESM1-F climate model.</p>
Data for manuscript "Mid-Pliocene glaciation preceded by a 0.5-million-year North African humid period"
<p>This repository contains model data accompanying the manuscript:</p> <p>Udara Amarathunga, Eelco J. Rohling, Katharine M. Grant, Alexander Francke, James Latimer, Robert M. Klaebe, David Heslop, Andrew P. Roberts and David K. Hutchinson, 2024: <strong>Mid-Pliocene glaciation preceded by a 0.5-million-year North African humid period</strong>, <em>Nature Geoscience</em>, <a href="https://doi.org/10.1038/s41561-024-01472-8">10.1038/s41561-024-01472-8</a> </p> <p>There are three main folders:</p> <ul> <li><strong>inputs.tgz</strong>: containing input files for each simulation</li> <li><strong>outputs.tgz</strong>: containing model outputs (as shown in the manuscript)</li> <li><strong>restarts.tgz</strong>: containing restart file bundles for the end of each simulation.</li> </ul> <p>There are three experiments, as described in the manuscript. These are labelled:</p> <ul> <li><strong>early_plio:</strong> Early Pliocene (3.312 - 5.3 Myr)</li> <li><strong>plio_glac: </strong>M2 glacial (3.264 - 3.312 Myr)</li> <li><strong>plio_m2: </strong>Mid-Pliocene glacials (3.0 - 3.264 Myr)</li> </ul> <p>The output data are either monthly or annual frequency, as indicated by the filename. 3D ocean outputs are in annual frequency only, while some surface 2D ocean fields are provided at monthly resolution. 3D atmosphere outputs are in monthly frequency.</p> <p><strong>All data are provided in self-describing netcdf format.</strong></p> <p>The model uses GFDL CM2.1, reconfigured with MOM5.1, which is available to download from https://github.com/mom-ocean/MOM5.</p>
Table 1 in Mitochondrial DNA reveals the impact of Pleistocene glaciations on a widespread palearctic bat species
<p><b>Table 1</b> Average values of detected genetic p-distances (±SD) in percentage per lineage of <i>H. savii</i> s.l. according to used marker set</p><table><tbody><tr><th></th><th></th><th>A</th><th>B</th><th>C</th><th>D</th><th>E</th></tr></tbody><tbody><tr><th>A</th><td>ND1:</td><td>0.46± 0.12</td><td></td><td></td><td></td><td></td></tr><tr><td>CytB:</td><td>0.32± 0.21</td><td></td><td></td><td></td><td></td></tr><tr><td>COI:</td><td>0.28± 0.24</td><td></td><td></td><td></td><td></td></tr><tr><td>16 S:</td><td>0.13± 0.11</td><td></td><td></td><td></td><td></td></tr><tr><th>B</th><td>ND1:</td><td>9.14± 0.28</td><td>0.47± 0.57</td><td></td><td></td><td></td></tr><tr><td>CytB:</td><td>8.03± 1.31</td><td>1.68± 0.96</td><td></td><td></td><td></td></tr><tr><td>COI:</td><td>7.90± 0.24</td><td>0.18± 0.19</td><td></td><td></td><td></td></tr><tr><td>16 S:</td><td>3.90± 0.27</td><td>0.34± 0.41</td><td></td><td></td><td></td></tr><tr><th>C</th><td>ND1:</td><td>6.79± 0.51</td><td>8.46± 0.35</td><td>0.62 ±0.68</td><td></td><td></td></tr><tr><td>CytB:</td><td>8.27± 0.68</td><td>9.01± 1.06</td><td>1.44 ±0.71</td><td></td><td></td></tr><tr><td>COI:</td><td>7.36± 0.25</td><td>8.92± 0.24</td><td>0.83 ±0.61</td><td></td><td></td></tr><tr><td>16 S:</td><td>/</td><td>/</td><td>/</td><td></td><td></td></tr><tr><th>D</th><td>ND1:</td><td>9.19± 0.30</td><td>9.12± 0.24</td><td>8.55 ±0.64</td><td>0.42±0.54</td><td></td></tr><tr><td>CytB:</td><td>/</td><td>/</td><td>/</td><td>/</td><td></td></tr><tr><td>COI:</td><td>8.91± 0.18</td><td>7.36± 0.28</td><td>10.15 ±0.38</td><td>0</td><td></td></tr><tr><td>16 S:</td><td>/</td><td>/</td><td>/</td><td>/</td><td></td></tr><tr><th>E</th><td>ND1:</td><td>/</td><td>/</td><td>/</td><td>/</td><td>/</td></tr><tr><td>CytB:</td><td>/</td><td>/</td><td>/</td><td>/</td><td>/</td></tr><tr><td>COI:</td><td>/</td><td>/</td><td>/</td><td>/</td><td>/</td></tr><tr><td>16 S:</td><td>12.8± 0.65</td><td>11.81 ±0.89</td><td>/</td><td>/</td><td>0.59± 0.30</td></tr><tr><th>X</th><td>ND1:</td><td>/</td><td>/</td><td>/</td><td>/</td><td>/</td></tr><tr><td>CytB:</td><td>/</td><td>/</td><td>/</td><td>/</td><td>/</td></tr><tr><td>COI:</td><td>/</td><td>/</td><td>/</td><td>/</td><td>/</td></tr><tr><td>16 S:</td><td>4.62± 0.23</td><td>5.12± 0.29</td><td>/</td><td>/</td><td>9.97± 0.31</td></tr></tbody></table>
Table 2 in Mitochondrial DNA reveals the impact of Pleistocene glaciations on a widespread palearctic bat species
<p><b>Table 2</b> Estimated divergence times (in MYa) between mitochondrial lineages, obtained by BI analysis of the different marker datasets. Node heights (mean ages) are given, with 95% HPD intervals in square brackets. FIS indicates the first internal split within what we consider <i>H. savii</i> s.l. (including all four lineages – A, B, C and D), while SNN denotes the split from its nearest neighbour in the tree (most commonly <i>H. alaschanicus</i>). In the case of 16 S dataset, SNN does not include lineage E, as it is placed significantly more basal (see Fig. 2d). E is also excluded from <i>H. savii</i>, alongside X (Fig. 1c), in case of concatenated dataset. (C1, C2) refers to dating of the split within lineage C. Hstu – <i>H. stubbei</i>, Hara – <i>H. arabicus</i>, sc – sister clade</p><table><tbody><tr><th></th><th>ND1</th><th>CytB</th><th>COI</th><th>16 S</th><th>Conc.</th></tr></tbody><tbody><tr><th>(A, C)</th><td>2.17 [1.62–2.70]</td><td>2.16 [1.75–2.60]</td><td>2.58 [1.94–3.30]</td><td></td><td>3.21 [2.56–3.89]</td></tr><tr><th>(A, B)</th><td></td><td></td><td></td><td>3.31 [2.13–4.52]</td><td></td></tr><tr><th>(B, D/Hstu)</th><td>2.38 [1.89–2.92]</td><td></td><td>2.54 [1.87–3.24]</td><td></td><td>3.12 [2.46–3.82]</td></tr><tr><th>(B, (A, C))</th><td></td><td>2.50 [2.08–2.94]</td><td></td><td></td><td></td></tr><tr><th>(C1,C2)</th><td>0.51 [0.32–0.70]</td><td>0.54 [0.36–0.73]</td><td>0.44 [0.24–0.66]</td><td></td><td>0.64 [0.43–0.85]</td></tr><tr><th>(E, sc)</th><td></td><td></td><td></td><td>11.18 [8.15–14.39]</td><td>9.93 [7.79–12.19]</td></tr><tr><th>(X, (A, B))</th><td></td><td></td><td></td><td>4.31 [2.97–5.76]</td><td></td></tr><tr><th>(X, Hara)</th><td></td><td></td><td></td><td></td><td>2.47 [0.00-5.44]</td></tr><tr><th>FIS</th><td>2.79 [2.32–3.28]</td><td></td><td>3.29 [2.67–3.95]</td><td></td><td>3.89 [3.22–4.62]</td></tr><tr><th>SNN</th><td>3.12 [2.58–3.67]</td><td>3.36 [2.81–3.93]</td><td>3.61 [2.95–4.34]</td><td>5.96 [4.68–7.37]</td><td>4.51 [3.72–5.30]</td></tr></tbody></table>
RAD-seq generated single nucleotide polymorphisms resolve patterns of genetic diversity and structure of the freshwater mussel Ptychobranchus fasciolaris in glaciated and unglaciated regions of North America
<p>Included are the initial unfiltered SNP output from the STACKS pipeline, and the final filtered SNP dataset in VCF format used to do analysis in the manuscript titled "<span>RAD-seq generated single nucleotide polymorphisms resolve patterns of genetic diversity and structure of the freshwater mussel <em>Ptychobranchus fasciolaris </em>in glaciated and unglaciated regions of North America" which was submitted to <em>Hydrobiologia </em>in September 2024.</span></p>
Data for: Climatic oscillation promoted diversification of spinous assassin bugs during Pleistocene glaciation
<p>Insect speciation is among the most fascinating topics in evolutionary biology; however, its underlying mechanisms remain unclear. Allopatric speciation represents one of the major types of speciation and is believed to have frequently occurred during glaciation periods, when climatic oscillation may have caused suitable habitats to be fragmented repeatedly, creating geographical isolation among populations. However, supporting evidence for allopatric speciation of insects in East Asia during the Pleistocene glaciation remains lacking. We aim to investigate the effect of climatic oscillation during the Pleistocene glaciation on the diversification pattern and evolutionary history of hemipteran insects and to test the hypothesis of Pleistocene species stability using spinous assassin bugs <em>Sclomina</em> (Hemiptera: <span>Reduviidae</span>), a small genus widely distributed in southern China but was lately found to have cryptic species diversity. Here, using the whole mitochondrial genome (mitogenome) and nuclear ribosomal RNA genes, we investigated both interspecific and intraspecific diversification patterns of spinous assassin bugs. Approximate Bayesian computation, ecological niche modeling and demographic history analyses were also applied to understand the diversification process and driven factors. Our data suggest that the five species of <em>Sclomina</em> are highly diverged, despite three of them currently being cryptic. Speciation occurred during Pleistocene when suitable distribution areas were possibly fragmentated. Six phylogeographic groups in the type species <em>S. erinacea</em> were identified, among which two groups underwent expansion during early Last Glacial Period and after Last Glacier Maximum. Our analyses suggest that this genus may have experienced climate-driven habitat fragmentation and post-glacial expansion in the Pleistocene, promoting allopatric speciation and intraspecific diversification. Our results reveal underestimated species diversity in a small insect group and illustrate a remarkable example of allopatric speciation of insects in East Asia promoted by Pleistocene climatic oscillations. These findings provide important insights into the speciation processes and aid the conservation of insect species diversity.</p>
The role of glaciations in the evolutionary history of a widely distributed Neotropical open habitat bird
<p><strong>Aim: </strong>The Neotropics constitute the most biodiverse region of the world, yet its patterns of diversification and speciation differ among Neotropical areas and are not equally well understood. Particularly, avian evolutionary processes are understudied in the open habitats of temperate South America, where the role of glacial cycles is not clear. We analyzed the evolutionary history of a Neotropical widespread bird species as a case study to evaluate its continental-scale patterns and processes of diversification, with a focus on Patagonia.</p> <p><strong>Location: </strong>Open habitats of the Neotropics.</p> <p><strong>Taxon:</strong> <em>Vanellus chilensis</em> (Aves, Charadriiformes).</p> <p><strong>Methods: </strong>We obtained reduced representation genomic and mitochondrial data from the four subspecies of <em>V. chilensis</em> to perform a phylogenetic/phylogeographic analysis and study the evolutionary history of the species. We complemented these analyses with the study of vocalizations, a reproductive signal in birds.</p> <p><strong>Results:</strong> The initial diversification event within <em>V. chilensis</em>, approximately 600,000 years ago, split a Patagonian lineage from one containing individuals from the rest of the Neotropics. We found considerable gene flow between these two lineages and a contact zone in northern Patagonia and showed that genomic admixture extends to northwestern Argentina. Shallower divergence was detected between the two non-Patagonian subspecies, which are separated by the Amazon River. Vocalizations were significantly different between the two main lineages and were intermediate in their temporal and frequency characteristics in the contact zone.</p> <p><strong>Main conclusions: </strong>Patagonian populations of <em>V. chilensis</em> are clearly differentiated from those of the rest of the Neotropics, possibly as a consequence of Pleistocene glaciations. A secondary contact zone in northern Patagonia with extensive gene flow among lineages appears to be the consequence of post-glacial, northward expansion of the Patagonian populations. Future analyses focused on the dynamics of the contact zone will allow us to establish whether the species continues to diverge or is homogenizing. </p>
Pleistocene glaciation drove shared population coexpansion in eastern North American snakes
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The role of glaciations in the evolutionary history of a widely distributed Neotropical open habitat bird
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Raw GPR data for: Alluvial dynamics of a formerly glaciated Rocky Mountain headwater valley, Colorado
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Data for: Climatic oscillation promoted diversification of spinous assassin bugs during Pleistocene glaciation
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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.