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284 results for “Future climate”
Data from: Potential effects of future climate change on global reptile distributions and diversity
<p class="first-paragraph"><span><strong>Aim:</strong></span><span> Until recently, complete information on global reptile distributions has not been widely available. Here, we provide the first comprehensive climate impact assessment for reptiles on a global scale.</span></p> <p class="western"><span><strong>Location:</strong></span><span> Global, excluding Antarctica</span></p> <p class="western"><span><strong>Time period:</strong></span><span> 1995, 2050, 2080</span></p> <p class="western"><span><strong>Major taxa studied:</strong></span><span> Reptiles</span></p> <p class="western"><span><strong>Methods:</strong></span><span> We modelled the distribution of 6,296 reptile species and assessed potential global as well as realm-specific changes in species richness, the change in global species richness across climate space, and species-specific changes in range extent, overlap and position under future climate change. To assess the future climatic impact on 3,768 range-restricted species, which could not be modelled, we compared the future change in climatic conditions between both modelled and non-modelled species.</span></p> <p class="western"><span><strong>Results:</strong></span><span> Reptile richness was projected to decline significantly over time, globally but also for most zoogeographic realms, with the greatest decrease in Brazil, Australia and South Africa. Species richness was highest in warm and moist regions, with these regions being projected to shift further towards climate extremes in the future. Range extents were projected to decline considerably in the future, with a low overlap between current and future ranges. Shifts in range centroids differed among realms and taxa, with a dominating global poleward shift. Non-modelled species were significantly stronger affected by projected climatic changes than modelled species.</span></p> <p class="western"><span><strong>Main conclusions:</strong></span><span> With ongoing future climate change, reptile richness is likely to decrease significantly across most parts of the world. This effect as well as considerable impacts on species' range extent, overlap, and position were visible across lizards, snakes and turtles alike. Together with other anthropogenic impacts, such as habitat loss and harvesting of species, this is a cause for concern. Given the historical lack of global reptile distributions, this calls for a re-assessment of global reptile conservation efforts, with a specific focus on anticipated future climate change.</span></p>
PREDICTING THE HABITAT SUITABILITY OF ASIAN ELEPHANTS UNDER FUTURE CLIMATE SCENARIOS.
<p>This is the data for "PREDICTING THE HABITAT SUITABILITY OF ASIAN ELEPHANTS UNDER FUTURE CLIMATE SCENARIOS."</p>
VCF file from: Signatures of local adaptation to current and future climate in phenology-related genes in natural populations of Quercus robur
<p>Qrob_seqcap_87_18799.vcf - containing 18,799 single nucleotide variants (SNPs) in phenology-related genes in 87 individuals of Quercus robur from 6 populations, described in Meger et al.</p> <p> </p>
Reanalysis and future climate projections of the physical state of the Gulf of Riga 1993-2100
<p><strong>Data sets</strong></p> <p>There are two data sets: (1) reanalysis (1993-2021) and (2) future projection (2015-2100). Future projection data set is split into 10 files.<br> The dataset provides gridded monthly mean values of physical parameters in the Gulf of Riga, Baltic Sea. The variables of the dataset of the physical state of the Gulf of Riga are as follows (Long name: <em>acronym</em>, <em>units</em>)</p> <ul> <li>Potential temperature: <em>thetao, </em>°<em>C</em></li> <li>Sea water salinity: <em>s, g/kg</em></li> <li>Eastward sea water velocity: <em>ocu, m/s</em></li> <li>Northward sea water velocity: <em>ocv, m/s</em></li> <li>Deviation of sea-level from the mean sea level: <em>zos, m</em></li> <li>Sea ice area fraction <em>siconc</em>, m<sup>2</sup>/ m<sup>2</sup></li> <li>Sea ice thickness: <em>sithick, m</em></li> <li>Bathymetry: <em>bathymetry, m </em>(included only in reanalysis data set)</li> </ul> <p>The grid size of the dataset is 15 (depth) x 203 (latitude) x 187 (longitude). The horizontal grid spacing is 0.5 nm; the vertical grid has 15 depth layers – 2 m deep surface layer and 4 m step for deeper layers. The time resolution of the dataset is monthly – the monthly mean value is provided in the 1st day of the month in time dimension.<br> The original climatic calculations are based on the University of Latvia (UL) set-up of the Hiromb-BOOS model routinely implemented for the operational oceanography in the Baltic Sea and the Gulf of Riga in Latvia. Its parametrization is empirically suited for climatical reanalysis in the Gulf of Riga domain. The original output of the model run is hourly data series.</p> <p><strong>Reanalysis</strong></p> <p>Time period: 1993-2021 (29 years).<br> The main characteristics of the input data and approach for the reanalysis run are as follows:</p> <ul> <li>EMODNET2020 bathymetry.</li> <li>Initial conditions – bias corrected Copernicus Marine Service (CMS).</li> <li>Atmospheric forcing – ERA5 meteorology with improved cloudiness.</li> <li>Boundary conditions from CMS 1993-2018 reanalysis and CMS operational archive (2019-2021) with bias correction for waterlevel in CMS forecast.</li> <li>River inflow – 15 main rivers taken into consideration according to E-HYPE hydrological model data. E-HYPE discharge multiplied by 0.75.</li> <li>Tides: astronomic calculations.</li> </ul> <p><strong>Future climate projection</strong></p> <p>Time period: 2015-2100 (86 yrs).<br> The main characteristics of the input data and approach for the future climate projections run are as follows:</p> <ul> <li>Emodnet2020 bathymetry.</li> <li>Initial conditions – bias corrected Copernicus Marine Service (CMS).</li> <li>Boundary conditions from downscaled CMIP6 climate projection model NorESM2-MM_ssp585_r1i1p1f1 (search string – project:'CMIP6', source_id:'NorESM2-MM', experiment_id:'ssp585', variant_label:'r1i1p1f1').</li> <li>River inflow – 15 main rivers taken into consideration according to E-HYPE climatological model (SMHI_RCA4_HadGEM2-ES_rcp45). E-HYPE discharge multiplied by 1.093.</li> <li>The past period data was used for the downscaling: <ul> <li>ERA5 reanalysis data was used for the downscaling of the atmospheric forcing time series of CMIP6 climate projection model,</li> <li>CMS reanalysis model data was used for the downscaling of the sea state time series.</li> </ul> </li> <li>Downscaled variables: eastward and northward components of the near surface wind, air temperature, air pressure, water temperature, water salinity, sea level.</li> </ul>
Data from: The impacts of climate change, energy policy, and traditional ecological practices on future firewood availability for Diné (Navajo) People
<p>These data are part of a data portal that accompanies the special issue 'Climate change adaptation needs a science of culture,' published in Philosophical Transactions of the Royal Society B in 2023. To access the data portal, please visit <a href="https://doi.org/10.5061/dryad.bnzs7h4h4"><strong>https://doi.org/10.5061/dryad.bnzs7h4h4</strong></a>.</p> <p>The files consist of the code of an agent-based model (ABM) in a NetLogo, detailed documentation of the ABM in a standard format, and a table of data exported from the simulation experiment reported on in the paper. By downloading the Netlogo file, one could not only rerun the experiment we report on and recreate the data table but toggle parameters or edit the model to explore other dynamics.</p>
Data from: Signatures of local adaptation in candidate genes of oaks (Quercus spp.) in respect to present and future climatic conditions
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Data from: Model-aided climate adaptation for future maize in the U.S.
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Nonbreeding distributions of four declining Nearctic-Neotropical migrants are predicted to contract under future climate and socioeconomic scenarios
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Vulnerability of estuarine systems in the contiguous United States to water quality change under future climate and land-use
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Historical and future climate change fosters expansion of Australian harvester termites, Drepanotermes
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Conservation of woody species in China under future climate and land-cover changes
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Global diversity patterns of larger benthic foraminifera under future climate change
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Data from: Potential effects of future climate change on global reptile distributions and diversity
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Data from: Integrating genomic data and simulations to evaluate alternative species distribution models and improve predictions of glacial refugia and future responses to climate change
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Data from: Predicting fitness in future climate: Insights from temporally replicated field experiments in Arabidopsis thaliana
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Climate change alters the future of natural floristic regions of deep evolutionary origins
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Data from: The impacts of climate change, energy policy, and traditional ecological practices on future firewood availability for Diné (Navajo) People
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A 30-year high resolution simulation of the future climate over the Interior Western United States
<p>A high-resolution (4 km) convection-permitting regional climate simulation is conducted in the Interior Western United States (IWUS) using the Weather Research and Forecasting (WRF) model. The model integration is conducted over a 30-year period from October 1981 through September 2011, and over a 30-year future period centered at 2050 using the Pseudo–Global Warming (PGW) technique. The IWUS model output for the retrospective climate is available from https://doi.org/10.5281/zenodo.1157112.</p> <p>This repository contains a 30-year gridded dataset of precipitation, surface (2 m) temperature, surface pressure, water vapor mixing ratio at 2 m, and 10 m wind speed at a daily frequency from the IWUS simulation of future climate centered at 2050. Anyone interested in the full dataset of the IWUS simulation is encouraged to contact the lead author at yongganga.wang@gmail.com.</p>
Model output for: Attributing causes of future climate change in the California Current System with multi-model downscaling
<p>Regional Ocean Modeling System outputs from dynamic downscaling of Coupled Model Intercomparison Project climate forcings in the California Current system, including projections with full climate forcings, as well as attribution experiments with only changes in wind, heat fluxes and other properties changing stratification, and boundary biogeochemical forcings. Output variables include euphotic zone integrated net primary productivity, and incident photosytnehtically available radiation, and ocean temperature, salinity, vertical velocity, and dissolved oxygen and nitrate concentrations at select depths.</p>
Data From: Conservation planning in an uncertain climate: identifying projects that remain valuable and feasible across future scenarios
<p>Conservation actors face the challenge of allocating limited resources despite uncertainty about future climate. A key goal is to minimize the potential for negative outcomes under future scenarios. Thus, we address a global conservation challenge: how to allocate conservation investments given high uncertainty about future climate conditions. To that end, we present a method for identifying projects that remain valuable and feasible across climate scenarios and apply our framework to freshwater biodiversity conservation in the South-Central USA. We combine data from a recent high-resolution hydrologic planning tool and species distribution models to estimate the conservation feasibility and biodiversity value of river reaches below 38 major reservoirs in the Red River basin.We find that only 13% of sites have high conservation priority across all future climate scenarios and that spatial patterns of conservation priority largely reflect patterns of water availability and fish biodiversity.</p>
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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)
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.