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116 results for “climate risk”
Data from: Multiomics inform invasion risks under global climate change
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Range-wide climate risk and adaptive potential in a cold-water fish species (Part 1/2)
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Integrative assessment of climate change-related impacts and risks on urban land
<p>Shapefile data set estimating trends of mean annual terrestrial surface air temperature (°C) and mean annual total precipitation (mm) and several heat indicators for urban land, characterised by clusters of local spatial autocorrelation in regard to the age of urban area and the coefficient of variation of urban area extent over time.</p>
Data from: "A framework for performing comparative LCA between repairing flooded houses and construction of dikes in non-stationary climate with changing risk of flooding"
<p>In the paper "A framework for performing comparative LCA between repairing flooded houses and construction of dikes in a non-stationary climate with changing risk of flooding", life cycle assessment is used to compare two ways to maintain the state of a coastal urban area in a changing climate with increasing flood risk. On one side, the construction of a dike, a hard and proactive scenario, is modeled using a bottom-up approach. On the other, the systematic repair of houses flooded by sea surges, a post-disaster measure, is assessed using a Monte Carlo simulation allowing for aleatory uncertainties in predicting future sea level rise and occurrences of extreme events. Two metrics are identified, normalized mean impacts and probability of dike being most efficient. The methodology is applied to three case studies in Denmark representing three contrasting areas, Copenhagen, Frederiksværk, and Esbjerg. For all case studies the distribution of the calculated impact of repairing houses is highly right skewed, which in some cases has implications for the comparative LCA. </p><p>This dataset contains the underlying data to support the findings of the paper. In particular, two sets of characterized environmental impacts are reported: (1) the impacts of flood-related repairs summed over a century, for each Monte Carlo simulation and (2) the impacts of building a dam. Both sets of results are reported for each of the three cities studied.</p>
Replication Package for: "Adapting to Climate Risk with Guaranteed Credit: Evidence from Bangladesh"
<p>Contains the code and publicly available datasets to replicate "Adapting to Climate Risk with Guaranteed Credit: Evidence from Bangladesh". Simulated data sets are provided in place of confidential datasets. See Readme file for details on how to obtain confidential data. </p>
Supplementary data for "Increasing risks of extreme salt intrusion events across European estuaries in a warming climate", published in Communications Earth & Environment
<p>This data repository contains python scripts and post-processed climate model and salt intrusion length data to reproduce figures in the paper below.</p> <p>====================</p> <p>Title: Increasing risks of extreme salt intrusion events across European estuaries in a warming climate (<a href="https://www.nature.com/articles/s43247-024-01225-w">Link to the full paper</a>)</p> <p>Author: Jiyong Lee, Bouke Biemond, Huib de Swart, and Henk A. Dijkstra</p> <p>Journal: Communications Earth & Environment</p> <p>Year: 2024</p> <p>Publisher: Nature</p> <p>====================</p>
Invasion risk of the currently cultivated alien flora in Southern Africa is predicted to decline under climate change
<p>Alien species can have massive impacts on native biodiversity, ecosystem functioning, and human livelihoods. Assessing which species from currently cultivated alien floras may escape into the wild and naturalize is essential for efficient and proactive ecosystem management and biodiversity conservation. Climate change has already promoted the naturalization of many alien plants in temperate regions, but whether it is similar in (sub)tropical areas is insufficiently known. In this study, we used species distribution models for 1,527 cultivated alien plants to evaluate current and future invasion risks across different biomes and 10 countries in southern Africa. Our results confirm that the area of suitable climate is a strong predictor of naturalization success among the cultivated alien flora. In contrast to previous findings from temperate regions, however, climatic suitability is generally predicted to decrease for potential aliens across our (sub)tropical study region. While increasingly hotter and drier conditions are likely to drive declines in suitability for potential aliens across most biomes of southern Africa, in some the number of potential invaders is predicted to increase under moderate climate change scenarios (e.g., in dry broadleaf forests and flooded grasslands). We found that climatic suitability is expected to decline less for aliens originating from continents with the tropical biome or from the Southern Hemisphere. In addition, we found that the climatically suitable area will decline less for aliens that have already naturalized in the region. While the number of potential invaders may decrease across southern Africa under future climate change, our results suggest that already naturalized aliens will continue to threaten native species and ecosystems.</p>
Climate change incidence, risk perception, and food security nexus
<p>This dataset supports the manuscript "Climate change incidence, risk perception, and food security among smallholders in Tigray, Ethiopia". The dataset contains three folders and a file from three data sources: (1) the Ethiopia Rural Socioeconomic Survey (ERSS)/Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA), a three-round panel data for Ethiopia, filtered for Tigray region; (2) an ERSS follow-up survey on the beliefs and opinions of respondents on climate change conducted in August 2019 in Tigray; and (3) 4km x 4km monthly grided Climate data (Rainfall, Max & min temperature). The files include socioeconomic data and household features, beliefs and opinions on climate change, and climatological data (monthly rainfall, maximum and minimum temperatures). The dataset covers 34 Enumeration Areas (EA) of the ERSS/LSMS-ISA and represents the region. It can be useful for studies on climate change risk perception and adaptation, environmental protection, and drivers of food insecurity in Tigray, Ethiopia. The data were processed using user-written codes in STATA v.17.</p>
Data and Software for "Probabilistic Trade-offs Analysis for Sustainable and Equitable Management of Climate-Induced Water Risks"
<p><span>Research data supporting the study "Probabilistic trade-offs analysis for sustainable and equitable management of climate-induced water risks"</span></p> <p><span>This repository provides data of the Stochastic Dual Dynamic Programming (SDDP) model, and the output results of the simulations of the various policies and climate scenarios considered in this study, as well as the code used for postprocessing and visualizing the results.</span></p> <p><strong><span>Contents</span></strong></p> <ol> <li><strong><span>Data: Model Inputs</span></strong><span><br>This folder contains the physical river network, reservoir and water demand, and economic data derived from the observed database.<br>The key files are:</span></li> <ul> <li><span>Input_HydrologicalData</span></li> <li><span>Input_SystemData</span></li> </ul> <li><strong><span>Results: Model Output Analysis</span></strong><span><br>This folder includes outputs from the Stochastic Dual Dynamic Programming (SDDP) model under various policies and climate scenarios. The results showcase optimized sectoral water use, including irrigated areas, hydropower generation, and allocations for agriculture, energy, and urban demands across spatial locations (upstream and downstream).<br>Key files include:</span></li> <ul> <li><strong><span>SDDP Model Outputs</span></strong><span> (MATLAB format): </span></li> <ul> <li><span>EnergyPriority_Baseline.mat</span></li> <li><span>EnergyPriority_2070.mat</span></li> <li><span>EnergyPriority_2100.mat</span></li> <li><span>AgriculturePriority_Baseline.mat</span></li> <li><span>AgriculturePriority_2070.mat</span></li> <li><span>AgriculturePriority_2100.mat</span></li> </ul> <li><strong><span>Extracted Model Results</span></strong><span> (Excel format): </span></li> <ul> <li><span>Organized for each policy and climate scenario to facilitate analysis.</span></li> </ul> </ul> <li><strong><span>Software: Data Analysis and Visualization</span></strong><span><br>Python scripts designed for outputs data analysis and visualization are included to reproduce the primary figures from the study.<br>Scripts provided:</span></li> <ul> <li><span>CDF_outflow.py</span><span>: Analyzes cumulative distribution functions for river discharge.</span></li> <li><span>CDF_sectors.py</span><span>: Examines sectoral water use distributions.</span></li> <li><span>PCP_SI.py</span><span>: Generates Parallel Coordinate Plots for trade-offs analysis.</span></li> </ul> <li><strong><span>Instructions: README File</span></strong><span><br>A comprehensive README file explains:</span></li> <ul> <li><span>Details of model input data.</span></li> <li><span>Instructions to interpret the SDDP model outputs.</span></li> </ul> </ol> <p><strong><span>Instructions:</span></strong><span><br></span><span>The Python scripts process Excel files from the model output results folder to generate and visualize the figures for the paper. Each step is clearly documented within the scripts.</span></p>
Asymmetry of thermal sensitivity and the thermal risk of climate change
<p>Aim. Understanding and predicting the biological consequences of climate change requires considering the thermal sensitivity of organisms relative to environmental temperatures. One common approach involves "thermal safety margins" (TSMs), which are generally estimated as the temperature differential between the highest temperature an organism can tolerate (CTmax) and the mean or maximum environmental temperature it experiences. Yet, organisms face thermal stress and performance loss at body temperatures below their CTmax, and the steepness of that loss increases with the asymmetry of the thermal performance curve (TPC).</p> <p>Location. Global</p> <p>Time period. 2015-2019.</p> <p>Major taxa studied. Ants, fish, insects, lizards, and phytoplankton.</p> <p>Methods. We examine variability in TPC asymmetry and the implications for thermal stress for 384 populations from 289 species across taxa and for metrics including ant and lizard locomotion, fish growth, and insect and phytoplankton fitness.</p> <p>Results. We find that the thermal optimum (Topt, beyond which performance declines) is more labile than CTmax, inducing interspecific variation in asymmetry. Importantly, the degree of TPC asymmetry increases with Topt. Thus, even though populations with higher Topts in a hot environment might experience above-optimal body temperatures less often than do populations with lower Topts, they nonetheless experience steeper declines in performance at high body temperatures. Estimates of the annual cumulative decline in performance for temperatures above Topt suggest that TPC asymmetry alters the onset, rate, and severity of performance decrement at high body temperatures.</p> <p>Main conclusions. Species with the same TSMs can experience different thermal risk due to differences in TPC asymmetry. Metrics that incorporate additional aspects of TPC shape better capture the thermal risk of climate change than do TSMs.</p>
A climate risk index for marine life
<p><a>Climate change is impacting virtually all marine life.</a> Adaptation strategies will require a robust understanding of the risk to species and ecosystems and how those propagate to human societies. We develop a unified and spatially explicit index to comprehensively evaluate the climate risks to marine life. Under high emissions (SSP5-8.5), almost 90% of ~25,000 species are at high or critical risk, with species at risk across 85% of their native distributions. One-tenth of the ocean contains ecosystems where the aggregated climate risk, endemism, and extinction threat of their constituent species are high. Climate change poses the greatest risk for exploited species in low-income countries with high dependence on fisheries. Mitigating emissions (SSP1-2.6) reduces the risk for virtually all species (98.2%), enhances ecosystem stability, and disproportionally benefits food-insecure populations in low-income countries. Our climate risk assessment can help prioritize vulnerable species and ecosystems for climate-adapted marine conservation and fisheries management efforts. </p>
Taking stock of climate-driven risks to mountain biodiversity
<p>Mountain biodiversity is rapidly reorganizing as species migrate upslope to track climate warming. Despite the potential threats of mountaintop extirpation, range shift gaps, and lowland biodiversity attrition, empirical evidence of these risks remains scarce. We analyzed 8,800 records of historical and modern elevational range limits for 440 animals and 1,629 plant species and found that the risk of mountaintop extirpation did not exceed random expectations. Upper limits expanded for species with narrow ranges or lowland affinities, but lower limits showed little contraction, implying scant risk to date of these threats, even in the tropics. Yet the predominance of upslope expansion combined with delayed mountaintop extirpations points to a biotic homogenization, which may profoundly alter biotic interactions in mountain ecosystems with increasing warming.</p>
Data for Disentangling the influence of phylogeny and traits on climatic risk of European butterflies
<p>R code and dataset associated with Gianuca et al. 2024 "Disentangling the influence of phylogeny and traits on climatic risk of European butterflies", Global Ecology and Biogeography.</p> <p>The data includes climatic risks, traits and Phylogenetic eigenvectors.</p> <p>We provide data and metadata including traits, ecological characteristics and climatic risks for different scenarios of climate change and climate tracking scenarios</p> <p>We provide the phylogeny for 496 European species</p> <p>We provide a prunned phylogeny to facilitate the analysis of the species with available information (268 species)</p> <p>We provide the code to run the analysis as described in the main text</p> <p> </p>
Survey results of the Benefits and Limitations of a Virtual Training on Climate Risks and Adaptation
<p>Survey results of the Benefits and Limitations of a Virtual Training on Climate Risks and Adaptation</p>
Missing the (tipping) point: the effect of information about climate tipping points on public risk perceptions in Norway [Dataset]
<p>This is all the data used for the redaction of the research paper "Missing the (tipping) point: the effect of information about climate tipping points on public risk perceptions in Norway".</p> <p> </p> <p>The dataset is contained in Excel files (.xlsx) and code for statistical analysis can be found in R files (.R)</p>
Climate change risks illustrated by the IPCC "burning embers": dataset
<p>This dataset contains numerical data and descriptive information on all 'burning ember' diagrams presented in the reports of the Intergovernmental Panel on Climate Change (IPCC), from the first appearance of these diagrams in 2001 to the 6th Assessment Report, published in 2022. The aim of this dataset is to bring together the data and metadata needed to reconstruct the burning embers diagrams and acquire essential information on the risks assessed and their evolution, within a single, homogeneous framework. The file presented here has been extracted from the database at the indicated date: it is a versioned archive of the database (excluding internal development fields, which are not publicly available). Analyses and figures based on this dataset are presented in Marbaix et al., 2024 [1], which provides information about the data. The data are provided in a text file in JSON format, the structure of which is described in the file itself and in the Supplement to Marbaix et al. 2024 [1].</p> <p>The IPCC secretariat has confirmed that these data can be distributed under the CC-BY licence as indicated here. When using this dataset, we ask you to provide the reference to each IPCC report which is the source of the data (and additional sources listed in the references to this dataset when relevant), as well as to the dataset, adding the related paper [1] as soon as it is available.</p> <div> <div>[1] Marbaix, P., Magnan, A. K., Muccione, V, Thorne, P. W., and Zommers, Z: Climate change risks illustrated by the IPCC "burning embers", submitted.</div> </div>
Projected climate risk of aquatic food system benefits
<p>Aquatic foods from marine and freshwater systems are critical to the nutrition, health, livelihoods, economies and culture of billions of people worldwide – but climate-related hazards may compromise their ability to provide these benefits. This analysis estimates national-level aquatic food system climate risk using a fuzzy logic modeling approach that connects climate hazards impacting marine and freshwater capture fisheries and aquaculture to their contributions to sustainable food system outcomes, and vulnerability to losing those contributions. Estimates are presented for a high and a low emissions scenario in three different time windows (2030, 2050, 2090). </p>
Data from: Are Mediterranean marine threatened species at high risk by climate change?
<p><span>Rapid anthropogenic climate change is driving threatened biodiversity one step closer to extinction. Effects on native biodiversity are determined by an interplay between species' exposure to climate change and their specific ecological and life-history characteristics that render them even more susceptible. Impacts on biodiversity have already been reported; however, a systematic risk evaluation of threatened marine populations is lacking. Here, we employ a trait-based approach to assess the risk of 90 threatened marine Mediterranean species to climate change, combining species' exposure to increased sea temperature and intrinsic vulnerability. One-quarter of the threatened marine biodiversity of the Mediterranean Sea is predicted to be under elevated levels of climate risk, with </span><span>various traits </span><span>identified as key vulnerability traits</span><span>. Climate risk, vulnerability and exposure hotspots are distributed along the Western Mediterranean, Alboran, Aegean, and Adriatic Seas. At each Mediterranean marine ecoregion, 21% to 31% of their threatened species have high climate risk. All Mediterranean Marine Protected Areas host threatened species with high risk to climate change, with 90% having a minimum of 4 up to 19 species of high climate risk, making the objective of a climate-smart conservation strategy a crucial task for immediate planning and action. Our findings aspire to offer new insights for systematic, spatially strategic planning and prioritization of vulnerable marine life in the face of accelerating climate change.</span></p>
Range restriction, climate variability, and human-related risks imperil lizards worldwide
Aims: Identifying major reasons for species imperilment is a necessary step for conservation, yet the degree to which we can generalize is hard for species-rich yet less-studied taxa, such as lizards. Here, we aim to bridge the gap by providing comprehensive analyses of the correlates and processes of species extinction and threats for global lizards. Location: Global Time period: Current Major taxa studied: Lizards Methods: We compiled a dataset comprising extinction risk status, six intrinsic traits, and seven extrinsic factors for 5256 lizard species. We carried out binomial distribution tests for 43 families and seven realms to check the non-randomness in species' extinction risk and then employed phylogenetic linear regressions to identify the key factors that relate to the extinction proneness of lizards and species subgroups. Based on the IUCN threat assessment, we identified major threats for global lizards and for major families and regions. Results: We found strong evidence of taxonomic and geographical non-randomness in the extinction risk of lizards. Geographical range size, human footprint and density, insular endemism, temperature and precipitation seasonality, and body size were key predictors of extinction risk, and the first three factors were also important across families and realms. Moreover, newly described species were more likely to have a restricted range size and a higher extinction risk. Globally, the most detrimental threat was habitat destruction, while overexploitation, species invasion, and climate change varied widely in importance among species groups. Main conclusions: Overall, we highlight the detrimental influences of range restriction, climate variability, and anthropogenic threats to species persistence. We suggest that lizards are potentially at high risk of extinction due to widespread human disturbance and species with extinction-prone traits require conservation prioritization. Moreover, lizards of different families and regions require different management strategies because of variation in extinction-risk correlates and threats. --
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>
ScienceDex guides
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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.