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Dataset results
382 results for “Climate impacts”
A dynamic von Mises-based model to evaluate the impact of urbanization and climate change on flood timing in Yangtze and Huaihe River Basins, China
<p>The daily streamflow data extracted from 8 selected stations from the Huaihe and Yangtze River Basins, China.</p>
Data, code, and supplementary materials for Pearman P. B., Broennimann, O., et al. Monitoring species genetic diversity in Europe varies greatly and overlooks potential climate change impacts. Nature Ecology & Evolution
<p>The repository contains several archives of digital materials that were used and/or produced in the analyses presented in Pearman, P. B. and Broennimann et al. Monitoring species genetic diversity in Europe varies greatly and overlooks potential climate change impacts. <strong>Nature Ecology & Evolution</strong>, likely 2023. These archives include (1) Supplementary Materials files ; (2) Data and code to generate country-level maps and plots; and (3) data and code to generate all maps of species and joint climate niche marginality, all in G-zipped tar archives. Readme files are available in each archive to guide running of the scripts and identification of objects in the Supplementary Materials. Please see the paper for all co-authors names, and the methods, the results obtained, and discussion of their implications.</p> <p>This work is dedicated to the memory of our friend and colleague Michael Bruford (1963-2023).</p>
Data and model code for: Habitat use patterns suggest that climate-driven vegetation changes will negatively impact mammal communities in the Amazon (ACV)
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Data and code from: Long-term climate impacts of large stratospheric water vapor perturbations (Part 1)
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Data from: Fertiliser application modulates the impact of interannual climate fluctuations and plant-to-plant interactions on the dynamics of annual species in a Mediterranean grassland
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Data from: Impact of Pleistocene climate on diversification and distribution of congeneric freshwater crustacean species
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Code and data from: Experiential legacies of early-life dietary polyunsaturated fatty acid (PUFA) content on juvenile Walleye: Potential impacts from climate change
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Data from: Reconstructing 120 years of climate change impacts on Joshua tree flowering
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Impact of vegetation changes on climate during the Last Interglacial
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Data for: Predicting the contribution of single trait evolution to rescuing a plant population from demographic impacts of climate change
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Data from: Historic land use modifies impacts of climate and isolation in rear edge European beech (Fagus sylvatica L.) populations
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Data and code for: Combining eddy covariance towers, field measurements, and the MEMS 2 ecosystem model improves confidence in the climate impacts of bioenergy with carbon capture and storage
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Cretaceous coastal mountain building and potential impacts on climate change in East Asia
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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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Modeling Viability of Avian Populations in the Southern Appalachians: Potential impacts of Climate Change from 2002 to 2004
There is a general consensus that the global climate has slowly warmed (0.6 degrees C) over the past 100 years and that this trend will continue at an accelerated rate over the next 100 years (1 degree to 6 degrees C) (Kattenburg et al. 1996). Aside from the mean annual increase in temperature, the frequency of weather extremes, such as heat waves, drought, and tropical storms are projected to increase across North America over the next century (Easterling et al. 2000). Past changes in temperature and precipitation have been accompanied by changes in insect and vertebrate distributions from both tropical and temperate environments (Parmesan 1996, Pounds et. Al 1999). We have developed bird-habitat models that allow us to predict the occurrences of species in specific forest types within and across national forests within the Blue Ridge physiographic province with a high degree of accuracy (Linder et al. submitted). These models categorize habitat as unsuitable, marginal or high quality as determined by the rate of occupancy over five years of point count data. We will validate our occurrence models with reproductive data. We hypothesize that reproductive success will correspond to predicted habitat quality. While stochastic events may obscure patterns in the short-term, long-term reproductive trends should reflect site quality.
Data from: Impact of agricultural weathering on physicochemical properties of biodegradable plastic mulch films: comparison of two diverse climates over four successive years
<p><span><span><span>Biodegradable plastic mulch films (BDMs) are essential in </span><span><span>the</span></span><span> production of vegetable and specialty crops due to their promotion of increased crop yield and quality. Unlike conventional polyethylene (PE) mulches, BDMs can be tilled into the soil after crop harvest to undergo biodegradation, thereby leading to minimal environmental impact. Agricultural weathering impacts both the performance of BDMs during crop production as a barrier to weeds and biodegradability of BDMs in the soil. To better understand the relative importance of climatic factors, the change of physicochemical properties of BDMs during single-season, 3-4 month, field trials for vegetable production at two diverse climates (Knoxville, TN and Mount Vernon, WA) across four successive years (2015-2018) was evaluated. Mulch treatments consisted of four commercially available BDMs composed primarily of polybutylene co-adipate- co-terephthalate (PBAT) that differed in color and polymeric feedstock</span><span><span>, a</span></span><span> black experimental BDM prepared from polylactic acid/polyhydroxybutyrate (PLA/PHA) blend, and conventional PE mulch. </span></span></span></p> <p><span><span><span>Mulch deterioration did not vary extensively between </span><span><span>years. </span></span><span><span>Solar</span></span><span> radiation, an important factor to degradation of mulches, was higher in WA than TN in most sampling years. Yet, degradation occurred </span><span><span>more greatly for</span></span><span> BDMs in TN</span><span><span>,</span></span><span> which </span><span><span>is attributable</span></span><span> to higher temperatures in TN. </span><span><span>Loss of</span></span><span> mechanical properties and color </span><span><span>was greater</span></span><span> than chemical </span><span><span>property changes.</span></span><span> </span><span><span>Differences in the extent of molecular weight decrease</span></span><span> between years correlated significantly with solar radiation </span><span><span>exposure at the two locations.</span></span><span> A black-colored PBAT-based BDM was less susceptible to degradation than equivalent clear and white-on-black films, due to carbon black acting as a photostabilizer. The impact of weathering also differed between </span><span><span>three commercially available PBAT-based films.</span></span><span> The PLA/PHA mulch was more susceptible to degradation than PBAT-based BDMs, particularly in the warmer location, TN, partially due to a leaching out of PHA and lower-molecular weight polymer molecules. The extent of change for physicochemical properties </span><span><span>of</span></span><span> BDMs due to agricultural weathering is greatly affected by polymeric composition, </span><span><span>and is greater in warmer climates.</span></span></span></span></p>
Data from: Modelling the potential impacts of climate change on the distribution of ichthyoplankton in the Yangtze Estuary, China
<p><span><a name="_Hlk10553342"><b>Aim: </b></a>Species distribution models (SDMs) are an effective tool to explore the potential distribution of terrestrial, freshwater, and marine organisms; however, SDMs have been seldom used to model ichthyoplankton distributions and thus our understanding of how larval stages of fishes will respond to climate change is still limited. Here, we developed SDMs to explore potential impacts of climate change on habitat suitability of ichthyoplankton.</span></p> <p><span><b>Location: </b>Yangtze Estuary, China</span></p> <p><span><b>Methods: </b>Using long-term ichthyoplankton survey data and a large set of marine predictor variables, we developed ensemble SDMs for five abundant ichthyoplankton species in the Yangtze Estuary (<i>Coilia mystus</i>, <i>Hypoatherina valenciennei</i>, <i>Larimichthys polyactis</i>, <i>Salanx ariakensis</i>, and <i>Chelidonichthys spinosus</i>). Then, we projected their habitat suitability under present and future climate conditions.</span></p> <p><span><b>Results: </b>The ensemble SDMs had good predictive performance and were successful in estimating the known distributions of the five species. Model projections highlighted two contrasting patterns of response to future climates: while <i>C. mystus</i> will likely expand its range, the ranges of the other four species will likely contract and shift northward.</span></p> <p><span><b>Main conclusions: </b><a name="_Hlk15635552">According to our SDM projections, the five ichthyoplankton species that we tested in the Yangtze Estuary are likely to respond differently to future climate changes. These projected different responses seemingly reflect the differential functional attributes and life history strategies of these species. </a>To the extent that climate change emerges as a critical driver of the future distribution of these species, our findings provide an important roadmap for designing future conservation strategies for ichthyoplankton in this region.</span></p>
Data from: Wild bees as winners and losers: relative impacts of landscape composition, quality, and climate
<p>Wild bees, like many other taxa, are threatened by land use and climate change, which in turn jeopardizes pollination of crops and wild plants. Understanding how land-use and climate factors interact is critical to predicting and managing pollinator populations and ensuring adequate pollination services, but most studies have evaluated either land-use or climate effects, not both. Further, bee species are incredibly variable, spanning an array of behavioral, physiological and life history traits that can increase or decrease resilience to land use or climate change. Thus, there are likely bee species that benefit, while others suffer, from changing climate and land use, but few studies have documented taxon-specific trends. To address these critical knowledge gaps, we analyzed a long-term dataset of wild bee occurrences from Maryland, Delaware, and Washington DC, USA, examining how different bee genera and functional groups respond to landscape composition, quality, and climate factors.</p> <p>Despite a large body of literature documenting land-use effects on wild bees, in this study, climate factors emerged as the main drivers of wild-bee abundance and richness. For wild-bee communities in spring and summer/fall, temperature and precipitation were more important predictors than landscape composition, landscape quality, or topography. However, relationships varied substantially between wild-bee genera and functional groups.</p> <p>In the Northeast USA, past trends and future predictions show a changing climate with warmer winters, more intense precipitation in winter and spring, and longer growing seasons with higher maximum temperatures. In almost all of our analyses, these conditions were associated with lower abundance of wild bees. Wild-bee richness results were more mixed, including neutral and positive relationships with predicted temperature and precipitation patterns. Thus, in this region and undoubtedly more broadly, changing climate poses a significant threat to wild-bee communities.</p>
A climate database with varying drought-heat signatures for climate impact modelling
<p>To allow for impact modelling for a wide range of sectors, we provide six scenarios with differing drought-heat signatures. Each scenario is 100 years long and we provide temperature variables (mean, minimum, maximum), precipitation, radiation (short- and longwave downward radiation and shortwave net radiation) and wind (zonal and meridional) at daily timescales. All variables are available at a regular 1◦×1◦grid over land, except Antarctica and large parts of Greenland. Leap days were removed, so there are 365×100 time steps for each scenario.</p>
Data from: Drought and immunity determine the intensity of West Nile virus epidemics and climate change impacts
The effect of global climate change on infectious disease remains hotly debated because multiple extrinsic and intrinsic drivers interact to influence transmission dynamics in nonlinear ways. The dominant drivers of widespread pathogens, like West Nile virus, can be challenging to identify due to regional variability in vector and host ecology, with past studies producing disparate findings. Here, we used analyses at national and state scales to examine a suite of climatic and intrinsic drivers of continental-scale West Nile virus epidemics, including an empirically derived mechanistic relationship between temperature and transmission potential that accounts for spatial variability in vectors. We found that drought was the primary climatic driver of increased West Nile virus epidemics, rather than within-season or winter temperatures, or precipitation independently. Local-scale data from one region suggested drought increased epidemics via changes in mosquito infection prevalence rather than mosquito abundance. In addition, human acquired immunity following regional epidemics limited subsequent transmission in many states. We show that over the next 30 years, increased drought severity from climate change could triple West Nile virus cases, but only in regions with low human immunity. These results illustrate how changes in drought severity can alter the transmission dynamics of vector-borne diseases.
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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.