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284
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284 results for “Future climate”
Tracing the future of epidemics: Coincident niche distribution of host animals and disease incidence revealed climate-correlated risk shifts of main zoonotic diseases in China
<p>This dataset contains host occurrence data from NACRC database and disease incidence data for the paper "Tracing the future of epidemics: Coincident niche distribution of host animals and disease incidence revealed climate-correlated risk shifts of main zoonotic diseases in China".</p>
Data from: Conservation of Chinese Theaceae species under future climate and land use changes
<p><span>Aim: </span><span>Climate and land use changes are two major pervasive and growing global causes of rapid changes in the distribution patterns of biodiversity, challenging the future effectiveness of protected areas (PAs), which were mainly designed based on a static view of biodiversity. Therefore, evaluating the effectiveness of protected areas for protecting the species threatened by climate and land use change is critical for future biodiversity conservation. </span></p> <p><span>Location: </span><span>China</span></p> <p><span>Methods:</span> <span>Here, using distributions of 200 Chinese Theaceae species and ensemble species distribution models, we identified species threatened by future climate and land use change (i.e. species with predicted loss of suitable habitat ≥ 30%) under scenarios incorporating climate change, land use change and dispersal. We then estimate the richness distribution patterns of threatened species and identify priority conservation areas and conservation gaps of the current PA network. </span></p> <p><span>Results: </span><span>Our results suggest that 36.30%-51.85% of Theaceae species will be threatened by future climate and land use conditions, and that although the threatened species are mainly distributed at low latitudes in China under both current and future periods, the mean richness of the threatened species per grid cell will decline by 0.826-3.188 species by the 2070s. Moreover, we found that these priority conservation areas are highly fragmented and that the current PA network only covers </span><span>14.21%-20.87% </span><span>of </span><span>the </span><span>'</span><span>areas worth exploring</span><span>' and 6.91%</span><span>-</span><span>7.91</span><span>% </span><span>of </span><span>the </span><span>'</span><span>areas worth attention</span><span>'.</span></p> <p><span>Main conclusions: </span><span>Our findings</span><span> highlight the necessity of establishing new protected areas and ecological corridors in priority conservation areas to protect the threatened species. Moreover, </span><span>our findings</span><span> also highlight the importance of taking into consideration the potential threatened species under future climate and land use conditions when designating priority areas for biodiversity conservation.</span></p>
Mapping of aridity and its connections with climate classes and climate desertification in future scenarios – Brazilian semi-arid region
<p>This database comes from the article entitled ''Mapping of aridity and its connections with climate classes and climate desertification in future scenarios –Brazilian semi-arid region'' (https://seer.ufu.br/index.php/sociedadenatureza /article/view/67666/36193). We provide data on aridity and desertification index for the current scenario and future projections considering changes in climate.</p>
Prediction of potential suitable areas for Phoebe zhennan in future different climate scenarios
<p>This dataset includes sample collection data of existing <em>Phoebe zhennan</em> in China, as well as historical climate data and future climate data (with a resolution of 2.5 minutes and using the BCC-CSM2-MR GCM model) collected by Worldclim, along with geographical elevation data. These data are used to predict the potential distribution range of <em>Phoebe zhennan</em> in the future.</p>
A secure future? Human urban and agricultural land use benefits a flightless island-endemic rail despite climate change
<p class="MsoNormal"><span>Identifying environmental characteristics that limit species' distributions is important for contemporary conservation and inferring responses to future environmental change. The Tasmanian native hen is an island-endemic flightless rail and a survivor of a prehistoric extirpation event. Little is known about the regional-scale environmental characteristics influencing the distribution of native hens, or how their future distribution might be impacted by environmental shifts (e.g., climate change). </span><span>Using a combination of local fieldwork and species distribution modelling, we assess environmental factors shaping the contemporary distribution of the native hen, and project future distribution changes under predicted climate change. We find 37.2% of Tasmania is currently suitable for the native hens, owing to low summer precipitation, low elevation, human-modified vegetation, and urban areas. <span>Moreover</span>, in unsuitable regions, </span><span>urban areas can create 'oases' of habitat, able to support populations with high breeding activity by providing resources and buffering against environmental constraints. Under climate change predictions, </span><span>native hens were predicted to lose only 5% of their occupied range by 2055. We conclude that the species is resilient to climate change and benefits overall from anthropogenic landscape modifications. As such, this constitutes a rare example of a flightless rail to have adapted to human activity.</span></p>
Data from: Estimating potential global sources and secondary spread of freshwater invasions under historical and future climates
<p>Aim: We employ a climate-matching method to evaluate potential source regions of freshwater invasive species to an introduced region and their potential secondary spread under historical and future climates.</p> <p>Location: Global source regions, with primary introductions to the Laurentian Great Lakes and secondary introductions throughout North America</p> <p>Methods: We conducted a climate-match analysis using the CLIMATE algorithm to estimate global source freshwater ecoregions under historical and future climates with an ensemble of general circulation models for climate change scenario SSP5-8.5. Given existing research, we use a climate match of ≥ 71.7% between ecoregions to indicate climatic conditions that will not inhibit the survival of introduced freshwater organisms. Further, we estimate the secondary spread of freshwater invaders to the ecoregions of North America under historical and future climates.</p> <p>Results: We identified 54 global freshwater ecoregions with a climate match ≥ 71.7% to the recipient Laurentian Great Lakes under historical climatic conditions and 11 additional ecoregions were predicted to exceed the threshold under climate change. Three of the 11 ecoregions were located in South America, a continent where no matches existed under historical climates and eight were located in the southern United States, southern Europe, Japan, and New Zealand. Further, we identify 34 North American ecoregions of potential secondary spread of freshwater invasions from the Great Lakes under historical climatic conditions, and five ecoregions were predicted to exceed the threshold under climate change.</p> <p>Main conclusion: We provide a climate-match method that can be employed to assess the sources and spread of freshwater invasions under historical and future climate scenarios. Our climate-match method predicted increases in climate match between the recipient region and several potential source regions, and changes in areas of potential spread under climate change. The identified ecoregions are candidates for detailed biosecurity risk assessments and related management actions. The identified ecoregions are candidates for detailed biosecurity risk assessments and related management actions.</p>
Agriculture Futures and Climate Data Set
<p>This is the second release.</p> <p>The agriculturefuturedata.mat includes the realized volatility series of corn, cotton, palm, wheat, and soybean futures.</p> <p><br> The climatedata.mat includes the average air pollution variables, weighted average air pollution variables, weighted average weather variables, attention to climate change variables, and attention to extreme weather variables.</p>
Dataset underlying the study "Changes in longevity, parasitization rate and development time of the whitefly parasitoid Encarsia formosa under future climate conditions"
<p>This dataset is underlying the scientific publication titled "Changes in longevity, parasitization rate and development time of the whitefly parasitoid <em>Encarsia formosa</em> under future climate conditions", published in the <a href="https://www.sciencedirect.com/journal/biological-control">Biological Control </a>journal. </p> <p>The first section of the dataset provides the meterological parameters used to drive climate chambers for the experiments conducted by LIST and UNICT researchers. The second section of the dataset provides a graphical representation, including the relevant metadata, of the survival rate of adult Encarsia formosa (a whitefly biocontrol agent) under various climate conditions. The third and final section of the dataset includes an overview of the whitefly parasitization rate of Encarsia formosa according to the different parameters of the experiments undertaken by the LIST and UNICT scientists.</p> <p>The provided figures and tables in the dataset are further discussed and interpreted in detail, as well as their subsequent results, in the scientific publication.</p> <p>This research was conducted within the VIRTIGATION project, which is part of the EU Open Research Data pilot. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 101000570.</p>
Future land cover and land cover dynamic trajectories in China under anthropogenic and climate forcing in 8 SSP-RCP scenarios
<p>The projection of future land cover in 21st century in China and land cover dynamic trajectories in 8 SSP-RCP scenarios</p>
Data from: Pliocene and Eocene provide best analogs for near-future climates
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Data for: Rapid shifts in Arctic tundra species’ distributions and inter-specific range overlap under future climate change
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A secure future? Human urban and agricultural land use benefits a flightless island-endemic rail despite climate change
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Declining conifer productivity will drive future forest dynamics as climate changes in Northern New England
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Ecological vs. climate uncertainty in future marine ecosystems: lessons learned from krill in a major upwelling region
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Data From: Conservation planning in an uncertain climate: identifying projects that remain valuable and feasible across future scenarios
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Systematic review of the uncertainty of coral reef futures under climate change, datasets
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Future supply of boreal forest ecosystem services is driven by management rather than by climate change
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Phenological responses to climate warming in temperate moths and butterflies: species traits predict future changes in voltinism
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Using landscape genomics to delineate future adaptive potential for climate change in the Yosemite Toad (Anaxyrus canorus)
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Variable influence of photosynthetic thermal acclimation on future carbon uptake in Australian wooded ecosystems under climate change
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Allen Brain Atlas
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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.