Find research datasets worth reusing

opencc-by-4.0Sep 2024View details →

Data from: Heterogeneous zonal impacts of climate change on a wide hyperendemic area of human and animal fascioliasis assessed within a One Health action for prevention and control

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →

Data analysis & code: Quantifying the impact of climate change and forest management on Swedish forest ecosystems using the dynamic vegetation model LPJ-GUESS

This file contains code to optimize the allometric parameters, to plot the figures, and details of the underlying data analysis in "Quantifying the impact of climate change and forest management on Swedish forest ecosystems using the dynamic vegetation model LPJ-GUESS" (Bergkvist et al.).

opencc-by-4.0Nov 2023View details →

Multidecadal-centennial record of Holocene climate changes

Based on the 8 meticulously detailed and accurately dated records detailing climate changes in the Northern Hemisphere over the Holocene, obtained by different proxies from different climatic zones we constructed stack of climate changes. The selected records encompass: δ18O data from the NGRIP Greenland ice core(Rasmussen et al., 2014), Greenland Summit temperature reconstruction using nitrogen and argon isotopes of trapped air within GISP2 ice core bubbles(Döring and Leuenberger, 2022; Kobashi et al., 2017), ice rafted debris (IRD) accumulation data from sediment cores VM29-191(Bond et al., 2001) and MD99-2269(Moros et al., 2006) in the North Atlantic, with adjustments to the age model following Stoner et al.(Stoner et al., 2007), Ti content in sediments from ODP Site 1002 in the northern Cariaco Basin(Haug et al., 2001), records of East Asian summer monsoon (EASM) changes from δ18O stalagmites in Chinese Dongge(Wang et al., 2005) and Sanbao(Dong et al., 2010) Caves, and composite climatic record from Icelandic lakes (Geirsdóttir et al., 2013). All records were linearly interpolated to 10-yr resolution and then detrended and normalized by subtracting the mean value and dividing by the standard deviation. The resulting stack was smoothed using a 150-yr moving average window. Cooling rate was calculated as negative rate of the climate stack changes with 30-yrs resolution.

opencc-by-4.0Sep 2024View details →

A scoping review on climate change education - Data

Processed data of the publication a scoping review on climate change education. The file "RelevantArticles_2008-2023_TopicsGeo.csv" contains the DOI of each article and the corresponding results of the topic modelling and the geoparsing. The list of DOIs that includes both relevant and irrelevant paper is provided in the file "output_relevant_irrevelant_August2023.xlsx".  The files "term_weight_2010_gram12.xlsx" and "term_weight_2023_gram12.xlsx" are used for the semantic analysis. The file "data_for_heatmap.csv" and "tsne_df_output.csv" are used for the topic modelling analysis that generates t-sne and heatmaps. The country counts analysis can be done using "data_for_country_counts.csv".

opencc-by-4.0Jul 2024View details →

Climate change risks illustrated by the IPCC "burning embers": dataset

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]. 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. <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>

opencc-zeroDec 2016View details →

Data from: Recurrent sublethal warming reduces embryonic survival, inhibits juvenile growth, and alters species distribution projections under climate change

The capacity to tolerate climate change often varies across ontogeny in organisms with complex life cycles. Recently developed species distribution models incorporate traits across life stages; however, these life-cycle models primarily evaluate effects of lethal change. Here, we examine impacts of recurrent sublethal warming on development and survival in ecological projections of climate change. We reared lizard embryos in the laboratory under temperature cycles that simulated contemporary conditions and warming scenarios. We also artificially warmed natural nests to mimic laboratory treatments. In both cases, recurrent sublethal warming decreased embryonic survival and hatchling sizes. Incorporating survivorship results into a mechanistic species distribution model reduced annual survival by up to 24% compared to models that did not incorporate sublethal warming. Contrary to models without sublethal effects, our model suggests that modest increases in developmental temperatures influence species ranges due to effects on survivorship.

opencc-by-4.0Jul 2021View details →

Dataset: Seed fate, seedling establishment and the role of propagule size in forest regeneration under climate change conditions

This repository contains the files associated with the following article: Badano EI and EJ Sánchez-Montes de Oca. Seed fate, seedling establishment and the role of propagule size in forest regeneration under climate change conditions. Forest ecology and Management 503, Article 119776. <a href="https://doi.org/10.1016/j.foreco.2021.119776">https://doi.org/10.1016/j.foreco.2021.119776</a> The first Microsoft Excel file contains a single sheet with the data used to assess whether seed biomass relates with the fresh weight of acorns in the two studied oak species (Quercus viminea and Quercus eduardii). The second Microsoft Excel file contains five sheets with the microclimatic data (photosynthetic photon flux density, air and soil temperature, rainfall and volumetric soil water content) measured at controls under the current climate and climate change simulation plots located in the forest and the abandoned field of each experimental site. The third Microsoft Excel file contains a single sheet with the results of the seed fate experiments. For each oak species, these databases indicate the fresh weight of each acorn and the respective fate of its seed (parasitized by insects, infested by fungi, desiccated or germinated) in controls under the current climate and climate change simulation plots located in forests and abandoned fields. Finally, the fourth Microsoft Excel file contains a single sheet with the results of the seedling development experiments. For each oak species, these databases indicate the fresh weight of each acorn with the respective shoot emergence date of the seedling, the date of seedling dead and the aboveground net growth rate of the seedling in controls under the current climate and climate change simulation plots located in forests and abandoned fields.

Increasing production efficiency and coping with climate change, while ensuring sustainability and resilience

This experiment aims to test two of the most performing Tomres used as rootstocks in the commercial variety (Elpida F1) cultivated in the region. More specifically, 2 tomato Tomres lines (TOMRES- 149, Bil-6191 and TOMRES 162, M82)  x 2 water/nutritional regimens (standard water/nutrient supply vs 20% irrigation reduction/no nutrient supply).  Greenhouse will also have non grafted plants (Elpida F1) cultivated under standard water/nutrient supply and 20% irrigation reduction/no nutrient supply

Increasing production efficiency and coping with climate change, while ensuring sustainability and resilience

Screening experiment aiming a first evaluation of the five PGPR that have been isolated in AUA, Laboratory go General & Agricultural Microbiology in a previous research project. To minimize interference of the treatments with soil fertility and soil heterogeneity, this first experiment will be conducted in a soilless cultivation system

Content analysis of a sample of images about climate change on Twitter

We carried out a content analysis of images (photographs, illustrations and graphics) posted on Twitter, during five randomly selected weeks between 28 November 2019 and 29 November 2020. The random process of selecting five weeks, performed using the website random.org, yielded the following weeks: 3, 11, 22, 32 and 45. These weeks correspond to the following dates: Week 3: from 11 to 17 November 2019 Week 11: from 6 to 12 January 2020 Week 22: from 23 to 29 March 2020 Week 32: from 8 to 14 June 2020 Week 45: from 7 to 13 September 2020 The sample was selected using the Twitter API (twitter.com) by selecting the “top tweets” that included photos or videos and were posted during the periods mentioned. The sample was chosen on 30 January 2021. We considered that the time interval between the tweet dates and the date the sample was chosen allowed enough time for each image to reach its full interaction potential. The searches carried out using the Twitter API were as follows: 1. “climate change” since:2019-11-25 until:2019-11-17 filter:media 2. “climate change” since:2020-01-12 until:2020-01-06 filter:media 3. “climate change” since:2020-03-29 until:2020-03-23 filter:media 4. “climate change” since:2020-06-14 until:2020-06-08 filter:media 5. “climate change” since:2019-09-13 until:2019-09-07 filter:media Each of these searches yielded a result of between 90 and 100 tweets. The results were saved on a spreadsheet and all of the fixed images were selected (photographs, graphs, illustrations, etc.). When several images appeared on the same post, we considered each one of them independently. Besides the images, we saved the following information for each tweet: date, user, number of likes, number of retweets, number of comments and text associated with each tweet. The interactions (number of likes, number of retweets and number of comments) were considered indicators of interest in the content of the message and therefore an indication of the potential of that image (along with the text associated) to foster public involvement in climate change. Of the 419 total images included in the initial sample, 39 contained text only (the image showed only a sign, press cutting or similar), so these were excluded, leaving a final sample (n) of 380 images. Coding After putting the selected images in chronological order in a database, we developed the codebook based on examples from previous studies. To classify the types of images, we used the classification system proposed by O’Neill (2017) for the most common images in traditional media: - Identifiable people: i.e. politicians, businesspeople and celebrities. - Non-identifiable people. - Impacts of climate change: i.e. episodes of extreme weather, ice melting, desertification and endangered animal species. - Energy, emissions and pollution: i.e. factory smokestacks, renewable energy sources and traffic. - Protests: i.e. demonstrations and other protest actions. - Scientific images: i.e. graphics on greenhouse gas emissions and maps of global warming. - Other images. Basing our work on the principles outlined by Climate Visuals (2018), we propose seven factors that lend effectiveness to images as a means to foster climate change engagement: - Showing real people, avoiding staged images. Images that show people expressing identifiable emotions are especially effective. Politicians, due to their low credibility and the fact that they’re perceived as not being authentic, are not very effective. - Telling stories.  Images that tell a story by themselves, especially the newest ones, tend to be more effective at fostering public involvement. - Showing the causes of climate change on the appropriate scale. For example, showing a gridlocked motorway could be more effective than showing a single driver. Images that show individual behaviour (such as eating meat) can trigger defensive reactions and may not be effective. - Showing powerful climate impacts. For example, floods and the effects of extreme weather, which can have a huge emotional impact. - Showing solutions. The levels of involvement and the ideology determine the response to the images. However, images that show “solutions” to climate change tend to generate positive emotions. - Establishing local connections. It’s a good idea to use images that connect climate change with a local environment. However, at the same time, they should connect with the problem on a global level. - Showing people who are directly affected. Although images of protests tend to generate scepticism among most observers, protests by people who are directly affected by climate change are usually perceived as more authentic and emotionally moving.

opencc-ncJul 2021View details →

Data and GrADS scripts needed to reproduce the figures in the article "Probabilistic forecasts of near-term climate change: verification for temperature and precipitation changes from years 1971-2000 to 2011-2020"

Data and GrADS scripts needed to reproduce the figures in the article "Probabilistic forecasts of near-term climate change: verification for temperature and precipitation changes from years 1971-2000 to 2011-2020", submitted for publication in Climate Dynamics. Please see the file README for further details.

opencc-zeroJul 2021View details →

Understanding the local drivers of beta-diversity patterns under climate change: The case of seaweed communities in Galicia, North West of the Iberian Peninsula

Aim: To understand spatial-temporal changes (beta-diversity) in coastal communities and their drivers in the context of climate change. Coastal ecosystems are extremely exposed and dynamic, where changes in seaweed assemblages have been associated with changing water temperatures. However, at the local scale, the effects of changes in the upwelling events and related stressors seek further exploration. Location: Galicia rías, North West of the Iberian Peninsula Methods: Using data collected in 42 sampling localities in Galicia rias and over two time periods (1998 and 2014), we analyzed changes in the seaweed community's composition through time and space. We calculated the temporal beta diversity index and spatial beta diversity as the pairwise composition differences between sampling localities. We use generalized dissimilarity models, to identify local environmental drivers of spatial and temporal beta-diversity. Results: We found a significant change in seaweed communities of Galicia rias, between 1998 and 2014 (temporal beta-diversity). They were mostly related to species loss rather than to species replacement. The dissimilarity among localities (spatial beta diversity) was significantly higher in 2014 than 1998. Nitrate concentration was consistently predicted as the main driver of both temporal and spatial beta-diversity patterns. Main conclusions: Unlike other studies in marine ecosystems, our results suggest that observed changes in the structure of perennial seaweed assemblages in Galicia Rias might lead to a local biotic heterogenization, indirectly linked to climate change through changes in nutrients availability and the upwelling intensity. Changes in Galicia seaweed communities call scientific attention to the importance of local stressors in climate change studies.

opencc-zeroDec 2018View details →

Data from: Consequences of climatic thresholds for projecting fire activity and ecological change

Aim: Ecological properties governed by threshold relationships can exhibit heightened sensitivity to climate, creating an inherent source of uncertainty when anticipating future change. We investigated the impact of threshold relationships on our ability to project ecological change outside the observational record (e.g., the 21st century), using the challenge of predicting late‐Holocene fire regimes in boreal forest and tundra ecosystems. Location: Boreal forest and tundra ecosystems of Alaska. Time period: 850–2100 CE. Major taxa studied: Not applicable. Methods: We informed a set of published statistical models, designed to predict the 30‐year probability of fire occurrence based on climatological normals, with downscaled global climate model data for 850–1850 CE. To evaluate model performance outside the observational record and the implications of threshold relationships, we compared modelled estimates with mean fire return intervals estimated from 29 published lake‐sediment palaeofire reconstructions. To place our results in the context of future change, we evaluate changes in the location of threshold to burning under 21st‐century climate projections. Results: Model–palaeodata comparisons highlight spatially varying accuracy across boreal forest and tundra regions, with variability strongly related to the summer temperature threshold to burning: sites closer to this threshold exhibited larger prediction errors than sites further away from this threshold. Modifying the modern (i.e., 1950–2009) fire–climate relationship also resulted in significant changes in modelled estimates. Under 21st‐century climate projections, increasing proportions of Alaskan tundra and boreal forest will approach and surpass the temperature threshold to burning, with > 50% exceeding this threshold by > 2 °C by 2070–2099. Main conclusions: Our results highlight a high sensitivity of statistical projections to changing threshold relationships and data uncertainty, implying that projections of future ecosystem change in threshold‐governed ecosystems will be accompanied by notable uncertainty. This work also suggests that ecological responses to climate change will exhibit high spatio‐temporal variability as different regions approach and surpass climatic thresholds over the 21st century.

opencc-zeroJul 2021View details →

Climate-driven dietary change on the Colorado Plateau, USA and implications for gender-specific foraging patterns

Complementary archaeological and paleoenvironmental datasets from North Creek Shelter (Colorado Plateau, Utah, USA) are analyzed using the diet breadth model, revealing human dietary patterns during the early and middle Holocene. Abundance indices are derived from botanical and faunal datasets and along with stone tools, are used to test the prediction that increasing aridity caused the decline of high-return resources. This prediction appears valid with respect to botanical resources, as high-ranked plants drop out of the diet after 9800 cal BP and replaced with low-ranked, small seeds. The prediction is not met, however, with respect to faunal resources: high-ranked artiodactyls are consistently abundant in the diet. The effects of climate change on dietary choices are also examined, finding that increased aridity coincides with greater use of small seeds and ground stone tools, but not with increases in low-ranked fauna, such as leporids. The patterns observed from the North Creek Shelter botanical and faunal datasets may reflect different foraging strategies between men and women, thus accounting for the discrepancy that low-ranked plant resources became increasingly abundant in the diet without a corresponding decrease in abundance of high-ranked artiodactyls. If so, then archaeological records with similar datasets should be re-examined with this perspective.

Potential distributional shifts in North America of allelopathic invasive plant species under climate change models

Occurrence data for invaive species used in ecological niche modeling for predictive studies. These data are cleaned to removed data with duplicates, incomplete coordinates, unlikely coordinates (e.g., 0,0), or those lacking environmental data were removed using the scrubr v.0.1.1 package in R (Chamberlain, 2016). Points falling outside of the respective training region for each species were also removed. These data represent downloads from iDigBio and GBIF.

opencc-zeroJul 2022View details →

Projected impacts of climate and land use changes on the habitat of Atlantic Forest plants in Brazil

Aim: To provide novel evidence on the average impact of climate and land use changes on habitat suitability for tropical plants and to test previous conclusions on the relative importance of these two drivers in shaping future availability of habitat for tropical plant species. Location: Brazil's Atlantic Forest domain. Time period: Plant occurrences recorded between 1960 and 2014. Baseline climate from 1960-2000 and land use from 2015. Projected scenarios of climate for 2041-2060 and land use for 2050. Major taxa studied: Angiosperms. Results: Our results suggest that climate change alone will, surprisingly, have only a modest negative impact on the mean habitat suitability, decreasing it by 2% (median = -5% to -7%, variation associated with scenarios). Land use change alone had a more consistent negative impact on habitat suitability, causing mean and median reductions of 4% to 6%. When the effects of climate and land use are combined, the mean habitat suitability was reduced by 4% (median = -9% to -11%). Main conclusions: The combined impacts of climate and land use changes were substantial, although smaller than expected. Habitat suitability decreased for most species, but it increased substantially for some species, suggesting that the distribution of impacts across species is markedly right skewed. The impacts were typically detrimental to small-ranged species and neutral or beneficial to widespread species. Land use change rather than climate change will likely cause more losses to the habitat of Atlantic Forest plant species within the next several decades.

opencc-zeroFeb 2020View details →

Rapid adaptive evolution to drought in a subset of plant traits in a large-scale climate change experiment

Rapid evolution of traits and of plasticity may enable adaptation to climate change, yet solid experimental evidence under natural conditions is scarce. Here, we imposed rainfall manipulations (+30%, control, -30%) for ten years on entire natural plant communities in two Eastern Mediterranean sites. Additional sites along a natural rainfall gradient and selection analyses in a greenhouse assessed whether potential responses were adaptive. In both sites, our annual target species Biscutella didyma consistently evolved earlier phenology and higher reproductive allocation under drought. Multiple arguments suggest that this response was adaptive: it aligned with theory, corresponding trait shifts along the natural rainfall gradient, and selection analyses under differential watering in the greenhouse. However, another seven candidate traits did not evolve, and there was little support for evolution of plasticity. Our results provide compelling evidence for rapid adaptive evolution under climate change. Yet, several non-evolving traits may indicate potential constraints to full adaptation.

opencc-zeroAug 2021View details →

Data from: Predicting range shifts of pikas (Mammalia, Ochotonidae) in China under scenarios incorporating land-use change, climate change, and dispersal limitations

Two of the most important forces affecting biodiversity are land-use change (LUC) and global climate change (GCC). Previous studies have modeled their impacts on species separately and together, but few have done so for multiple species with dispersal limitations incorporated into the models. We integrate species distribution models plus a dispersal model to predict LUC and GCC impacts on the ranges of five species of pikas in the Qinghai-Tibet Plateau region of China. Pikas are sensitive to land-use and climate change, and have limited dispersal abilities. The predicted impacts of LUC and GCC on pikas vary between species as well as between LUC and GCC projections. Incorporation of dispersal limitations appreciably restricts the amount of colonized habitat. For all five species, the amount of habitat abandoned or colonized when LUC and GCC are modeled together is less than the sum of LUC and GCC modeled separately. Three of the five species experience a net increase in occupied habitat by 2080 relative to their current ranges under all modeled projections. However, relative to a "Dispersal Only" baseline scenario that assumes no environmental change but continued range expansion into suitable, unoccupied habitat, all five species suffer a net loss of occupied habitat by 2080 under some or all projections. Predictions of future distributions of species based solely on LUC or GCC, as well as predictions assuming additive impacts, can be misleading. Inclusion of dispersal limitations in models markedly alters predicted future distributions of species. The use of a "Dispersal Only" scenario provides a different and perhaps more accurate way to gauge net impacts to species. Future work should consider incorporating all these parameters to better predict the impacts of LUC and GCC on biodiversity.

opencc-zeroSep 2021View details →

Diminishing potential for tropical reefs to function as coral diversity strongholds under climate change conditions

Aim: Forecasting the influence of climate change on coral biodiversity and reef functioning is important for informing policy decisions. Dominance shifts, tropicalisation and local extinctions are common responses of climate change, but uncertainty surrounds the reliability of predicted coral community transformations. Here, we use species distribution models (SDMs) to assess changes in suitable coral habitat and associated patterns in biodiversity across Western Australia (WA) under present-day and future climate scenarios (RCP 2.6 and RCP 8.5). Location: Coral reef systems in WA. Methods: We developed SDMs with model prediction uncertainty analyses, using specimen-based occurrence records of 188 hermatypic scleractinian coral species and seven variables to estimate present-day and future changes to coral species distribution and biodiversity patterns in WA under climate change conditions. Results: We found that suitable habitat is predicted to increase across all regions in WA under RCP2.6 2050, RCP8.5 2050 and RCP2.6 2100 scenarios with all tropical and subtropical regions remaining coral biodiversity strongholds. Under the extreme RCP8.5 2100 scenario however, a clear tropicalisation trend could be observed with coral species expanding their range to mid-higher latitude regions, while a substantial drop in coral species richness was predicted at low latitude tropical coral reefs, such as the inshore Kimberley and offshore NW reefs. Despite the predicted expansion south, we identified a net decline in biodiversity across the WA coastline. Main Conclusions: Results from the models predicted higher net biodiversity loss at low latitude tropical regions compared to net gains at mid-high latitude regions under RCP8.5 2100. These results are likely to be representative of latitudinal trends across the southern hemisphere and highlight that increases in habitat suitability at higher latitudes may not lead to equivalent biodiversity benefits. Urgent action is needed to limit climate change to prevent spatial erosion of tropical coral communities, extinction events and loss of tropical ecosystem services.