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134 results for “range dynamics”
Temporal dynamics of range-expander and congeneric native plant responses during and after extreme drought events
<p>Current climate change causes range shifts of many species to higher latitudes and altitudes, and enhances their exposure to extreme weather events. It has been shown that range shifting plant species may perform differently in the new soil than related natives, however, little is known about how extreme weather events influence range-shifting plants compared to related natives. Here, we used outdoor mesocosms to study how range-shifting plant species respond to extreme drought in live soil from a habitat in the new range with and without live soil from a habitat in the original range. During summer drought, shoot biomass of the range-expanders was reduced. In spite of this, in the mixed community range-expanders produced more shoot biomass than congeneric natives. In mesocosms with a history of range-expanders in the previous year, native plants produced less biomass. Plant legacy or soil origin effects did not change the response of natives or range-expanders to summer drought. During rewetting, range-expanders had less biomass than congeneric natives, but had higher drought resilience (survival) in soils from the new range where in the previous year native plant species had grown. The biomass patterns of the mixed plant communities were dominated by Centaurea species, however, not all plant species within the groups of natives and of range expanders showed the general pattern. Drought reduced litter decomposition, microbial biomass and abundances of bacterivorous, fungivorous and carnivorous nematodes. Their abundances recovered during rewetting. There was less microbial biomass, fungal biomass and there were fewer fungivorous nematodes in soils from the original range (Hungary) where range-expanders had grown in the previous year. We conclude that in mixed plant communities of range-expanders and congeneric natives, range-expanders performed better, both under ambient and drought conditions, than congeneric natives. However, when considering the responses of individual species, we observed variations among couples of congenerics, so that under the present-mixed community-conditions there was no uniformity in responses to drought of range expanders versus congeneric natives. Range-expanding plant species reduced soil fungal biomass and numbers of soil fungivorous nematodes, suggesting that effects of range-expanding plant species can trickle up in the soil food web.</p>
Data from: Geographic range dynamics drove ancient hybridization in a lineage of angiosperms
Elucidating the dynamic distribution of organismal lineages has been central to biology since the nineteenth century, yet the difficulty of combining biogeographic methods with shifts in habitat suitability remains a limitation. This integration, however, is critical to understanding geographic distributions, present and past, as well as the time-extended trajectories of lineages. Here, we link previous advances in phyloclimatic modeling to develop a framework that overcomes existing methodological gaps by predicting potential ecological and geographic overlap directly from estimated ancestral trait distributions. We show the utility of this framework by focusing on a clade in the montane angiosperm genus Heuchera, which is noteworthy in that it experienced ancient introgression from circumboreally distributed species of Mitella, lineages now ~1,300 km disjunct. Using this system, we demonstrate an application of ancestral state reconstruction to assess geographic range dynamics in a lineage lacking a fossil record. We test hypotheses regarding inferred past geographic distributions and examine the potential for ancient geographic contact. Application of this multifaceted approach suggests potential past contact between species of Heuchera and Mitella in western North America during cooler periods of the Pleistocene. Integration of niche models and phylogenetic estimates suggests that climatic cooling may have promoted range contact and gene flow between currently highly disjunct species. Our approach has wide applicability for testing hypotheses concerning organismal co-occurrences in deep time.
Data from: Boom and bust: The effects of masting on seed predator range dynamics and trophic cascades
<p><strong>Aim: </strong>Spatiotemporal variation in resource availability is a strong driver of animal distributions. In northern hardwood and boreal forests of the northeastern United States, tree mast events provide resource pulses that drive the population dynamics of small mammals, including the American red squirrel (<em>Tamiasciurus hudsonicus</em>), a primary songbird nest predator. This study sought to determine whether mast availability ameliorates their abiotic limits, enabling red squirrel elevational distributions to temporarily expand and negatively impact high elevation songbirds.</p> <p><strong>Location: </strong>Northeastern United States</p> <p><strong>Methods:</strong> We used two independent datasets to evaluate our hypotheses. First, we fit a dynamic occupancy model using data from camera trap surveys to evaluate red squirrel distributional responses to pulses in tree mast. We also assessed population responses using systematic auditory surveys analyzed with an open-population binomial mixture model. Further, we used modeled red squirrel abundance in nest-survival models to evaluate whether their abundance is correlated with daily nest survival of three songbird species.</p> <p><strong>Results:</strong> Tree mast provided a critical resource pulse that resulted in a two-fold increase in the annual elevational distribution of red squirrels. The elevational distribution of red squirrels ranged from a minimum of ~450 m (range: 663 – 1145 m asl) following two consecutive years without a masting event to a maximum of over 1000 m (range: 443 – 1545 m asl) after a large mast event. Daily nest survival of three songbird species tended to decline with an increase in the abundance of red squirrels.</p> <p><strong>Main Conclusions:</strong> Tree mast is a central biological phenomenon in many temperate and boreal forests. This study reveals how this resource pulse results in range changes in a small mammal that is both a seed and bird predator, as well as prey for many carnivores. Thus, understanding this phenomenon can inform the conservation and management of northern forests, including breeding songbirds.</p>
A 2D hyperspectral library of mineral reflectance, from 900 to 2500nm - High dynamic range data
<p>Each <strong>zip</strong> file contains the text description file: <strong>description.txt</strong>. It also contains the data of one or two measurement, <strong>A</strong> and possibly B. The files are named as follows (<strong>####</strong> is the sample ID, <strong>@</strong> the letter of the measurement):</p> <ul> <li><strong>####-@.ply</strong> and <strong>####-@.png</strong>: 3D reconstruction in Stanford PLY format, and associated texture file.</li> <li><strong>@-im-000.jpg</strong>, <strong>@-im-010.jpg</strong>, ..., <strong>@-im-360.jpg</strong>: JPEG images of the sample, the angle is in degrees. 0 degree correspond to the position used during scanning.</li> <li><strong>@.hdr.h5</strong>: HDF5 file containing the HDR scan data.</li> </ul> <p>The zip files correspond to the sample IDs, according to the following table:</p> <pre><code>Mineral Sample IDs Datapoints ---------------------------------------------------------------- Actinolite 0020, 0021, 0064 56840 Albite 0107 22521 Almandine 0025, 0026, 0073, 0074 17425 Andalusite 0014 18862 Anhydrite 0004 30832 Apatite 0089(2), 0090(2) 69062 Aragonite 0061 40111 Arsenopyrite 0087(2) 66333 Augite 0038 8503 Barite 0006 37130 Beryl 0075(2) 37743 Biotite 0049(2), 0050 45400 Blende 0086(2) 15596 Bronzite 0112 50452 Bytownite 0103 14666 Calcite 0010, 0011, 0052, 0078, 0079 112501 Cassiterite 0119, 0120 38535 Celestite 0000, 0001, 0002 56075 Chalcedony 0108(2), 0109(2) 96431 Chalcopyrite 0106 19375 Chlorite 0013 75802 Clinochlore 0126 45301 Coal 0081, 0082 44664 Copper 0101 14556 Diopside 0069 58959 Dolomite 0091(2), 0092(2) 76810 Enstatite 0047 31072 Epidote 0023, 0024 47306 Fluorite 0003(2), 0012(2) 98638 Galena 0053, 0054 17931 Garnet 0115 27331 Glaucophane 0016, 0017, 0076, 0077 200830 Goethite 0114 10717 Graphite 0083, 0084 20047 Grossular 0030, 0031 46592 Gypsum 0005(2), 0007, 0063 159829 Halite 0008, 0056 66201 Halloysite 0121, 0122 102028 Hematite 0039(2), 0085(2), 0095, 0096 165228 Hornblende 0046 9175 Hypersthene 0111 62932 Ilmenite 0116 16256 Kaolinite 0113 20764 Kyanite 0029 12320 Labradorite 0088(2), 0104(2) 62762 Limonite 0128, 0129 64550 Magnetite 0055, 0072 7103 Microcline 0071 60699 Montmorillonite 0123, 0124, 0125 87986 Muscovite 0034 62481 Nepheline 0097(2) 51930 Olivine 0065 7965 Omphacite 0019, 0067 108032 Opal 0102 34404 Orthoclase 0057 49824 Phlogopite 0045, 0070 105119 Pyrite 0042, 0048 31598 Pyrolusite 0117, 0118 45534 Pyrrhotite 0051 21572 Quartz 0009(2), 0035 126760 Rutile 0093 4959 Sanidine 0099(2) 49260 Serpentine 0018, 0068 78937 Siderite 0080 11651 Silicified wood 0127(2) 92935 Sillimanite 0032, 0033 70546 Sodalite 0043, 0060 61852 Sphalerite 0105 27485 Staurolite 0027, 0028, 0066 30628 Sulfur 0036, 0037 34751 Talc 0022, 0040, 0041, 0058, 0059 138317 Titanite 0094 4121 Tourmaline 0044, 0062 68419 Tremolite 0098(2), 0100 70913 Zircon 0110(2) 5110 </code></pre>
A 2D hyperspectral library of mineral reflectance, from 900 to 2500nm - Masked high dynamic range data
<p>Each <strong>zip</strong> file contains the text description file: <strong>description.txt</strong>. It also contains the data of one or two measurement, <strong>A</strong> and possibly B. The files are named as follows (<strong>####</strong> is the sample ID, <strong>@</strong> the letter of the measurement):</p> <ul> <li><strong>####-@.ply</strong> and <strong>####-@.png</strong>: 3D reconstruction in Stanford PLY format, and associated texture file.</li> <li><strong>@-im-000.jpg</strong>, <strong>@-im-010.jpg</strong>, ..., <strong>@-im-360.jpg</strong>: JPEG images of the sample, the angle is in degrees. 0 degree correspond to the position used during scanning.</li> <li><strong>@.mhdr.h5</strong>: HDF5 file containing masked HDR raw scan data. Masked values are represented by nan.</li> </ul> <p>The zip files correspond to the sample IDs, according to the following table:</p> <pre><code>Mineral Sample IDs Datapoints ---------------------------------------------------------------- Actinolite 0020, 0021, 0064 56840 Albite 0107 22521 Almandine 0025, 0026, 0073, 0074 17425 Andalusite 0014 18862 Anhydrite 0004 30832 Apatite 0089(2), 0090(2) 69062 Aragonite 0061 40111 Arsenopyrite 0087(2) 66333 Augite 0038 8503 Barite 0006 37130 Beryl 0075(2) 37743 Biotite 0049(2), 0050 45400 Blende 0086(2) 15596 Bronzite 0112 50452 Bytownite 0103 14666 Calcite 0010, 0011, 0052, 0078, 0079 112501 Cassiterite 0119, 0120 38535 Celestite 0000, 0001, 0002 56075 Chalcedony 0108(2), 0109(2) 96431 Chalcopyrite 0106 19375 Chlorite 0013 75802 Clinochlore 0126 45301 Coal 0081, 0082 44664 Copper 0101 14556 Diopside 0069 58959 Dolomite 0091(2), 0092(2) 76810 Enstatite 0047 31072 Epidote 0023, 0024 47306 Fluorite 0003(2), 0012(2) 98638 Galena 0053, 0054 17931 Garnet 0115 27331 Glaucophane 0016, 0017, 0076, 0077 200830 Goethite 0114 10717 Graphite 0083, 0084 20047 Grossular 0030, 0031 46592 Gypsum 0005(2), 0007, 0063 159829 Halite 0008, 0056 66201 Halloysite 0121, 0122 102028 Hematite 0039(2), 0085(2), 0095, 0096 165228 Hornblende 0046 9175 Hypersthene 0111 62932 Ilmenite 0116 16256 Kaolinite 0113 20764 Kyanite 0029 12320 Labradorite 0088(2), 0104(2) 62762 Limonite 0128, 0129 64550 Magnetite 0055, 0072 7103 Microcline 0071 60699 Montmorillonite 0123, 0124, 0125 87986 Muscovite 0034 62481 Nepheline 0097(2) 51930 Olivine 0065 7965 Omphacite 0019, 0067 108032 Opal 0102 34404 Orthoclase 0057 49824 Phlogopite 0045, 0070 105119 Pyrite 0042, 0048 31598 Pyrolusite 0117, 0118 45534 Pyrrhotite 0051 21572 Quartz 0009(2), 0035 126760 Rutile 0093 4959 Sanidine 0099(2) 49260 Serpentine 0018, 0068 78937 Siderite 0080 11651 Silicified wood 0127(2) 92935 Sillimanite 0032, 0033 70546 Sodalite 0043, 0060 61852 Sphalerite 0105 27485 Staurolite 0027, 0028, 0066 30628 Sulfur 0036, 0037 34751 Talc 0022, 0040, 0041, 0058, 0059 138317 Titanite 0094 4121 Tourmaline 0044, 0062 68419 Tremolite 0098(2), 0100 70913 Zircon 0110(2) 5110 </code></pre> <p> </p>
Figure 3 in Quaternary range dynamics and taxonomy of the Mediterranean collared dwarf racer, Platyceps collaris (Squamata: Colubridae)
Figure 3. Species distribution models for Platyceps collaris in current conditions (A) and in conditions during the Last Glacial Maximum (B), the Last Interglacial (C), mid-Pleistocene (D) and mid-Pliocene (E). Black points in A indicate the records that were used for the species distribution modelling. The bottom right panel shows reconstructions of global temperature in the last 4 Myr relative to the peak Holocene temperature (Hansen & Sato, 2012), with grey arrows and dashed lines highlighting the temperature in the time periods used in the present study.
Bowen Technique Versus Dynamic Soft Tissue Mobilization on Pain, Range of Motion and Functional Disability in Patients With Adhesive Capsulitis
ClinicalTrials.gov study NCT07047846. IPD Sharing: NO. Countries: 1. Publications: 4.
The Effects of Stretching Versus Static and Dynamic Cupping on Lumbar Range of Motion
ClinicalTrials.gov study NCT04230850. IPD Sharing: NO. Countries: 1. Publications: 22.
The Acute Effect of Kinesio Tape on Pain, Joint Range of Motion and Dynamic Balance in Patients With Low Back Pain
ClinicalTrials.gov study NCT06749821. IPD Sharing: NO. Countries: 1. Publications: 1.
Effects of Foam Rolling, Foam Rolling with Dynamic Movement, and Static Stretching on Plantar Flexor Range of Motion and Tissue Properties in Healthy Participants
ClinicalTrials.gov study NCT06877832. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Habitat preference differentiates the Holocene range dynamics but not barrier effects on two sympatric, congeneric trees (Tristaniopsis, Myrtaceae).
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Data from: Information use shapes the dynamics of range expansions into environmental gradients
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Data from: Boom and bust: The effects of masting on seed predator range dynamics and trophic cascades
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Data from: Range dynamics, rather than convergent selection, explain the mosaic distribution of red-winged blackbird phenotypes
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Data from: Effects of spatial structure of population size on the population dynamics of barnacles across their elevational range
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Data from: Coupled range dynamics of brood parasites and their hosts responding to climate and vegetation changes
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Data from: Quantifying spatiotemporal occupancy dynamics and multi-year core-use areas at a species range boundary
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Data from: Extensive range persistence in peripheral and interior refugia characterizes Pleistocene range dynamics in a widespread Alpine plant species (Senecio carniolicus, Asteraceae)
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Data from: Co-occurrence dynamics of endangered Lower Keys marsh rabbits and free-ranging domestic cats: prey responses to an exotic predator removal program
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Data from: Geographic range dynamics drove ancient hybridization in a lineage of angiosperms
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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.