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50 results for “extreme climate events”
Data from: Extreme climate events counteract the effects of climate and land-use changes in Alpine treelines
Climate change and extreme events, such as drought, threaten ecosystems world-wide and in particular mountain ecosystems, where species often live at their environmental tolerance limits. In the European Alps, plant communities are also influenced by land-use abandonment leading to woody encroachment of subalpine and alpine grasslands. In this study, we explored how the forest–grassland ecotone of Alpine tree lines will respond to gradual climate warming, drought events and land-use change in terms of forest expansion rates, taxonomic diversity and functional composition. We used a previously validated dynamic vegetation model, FATE-HD, parameterized for plant communities in the Ecrins National Park in the French Alps. Our results showed that intense drought counteracted the forest expansion at higher elevations driven by land-use abandonment and climate change, especially when combined with high drought frequency (occurring every 2 or less than 2 years). Furthermore, intense and frequent drought accelerated the rates of taxonomic change and resulted in overall higher taxonomic spatial heterogeneity of the ecotone than would be expected under gradual climate and land-use changes only. Synthesis and applications. The results from our model show that intense and frequent drought counteracts forest expansion driven by climate and land-use changes in the forest–grassland ecotone of Alpine tree lines. We argue that land-use planning must consider the effects of extreme events, such as drought, as well as climate and land-use changes, since extreme events might interfere with trends predicted under gradual climate warming and agricultural abandonment.
Extreme rainfall events and cooling of sea turtle clutches: implications in the face of climate warming
<p class="m-4193862355675860270msoplaintext">Understanding how climate change impacts species and ecosystems is integral to conservation. When studying impacts of climate change, warming temperatures are a research focus, with much less attention given to extreme weather events and their impacts. Here we show how localized, extreme rainfall events can have a major impact on a species that is endangered in many parts of its range. We report incubation temperatures from the world's largest green sea turtle rookery, during a breeding season when two extreme rainfall events occurred. Rainfall caused nest temperatures to drop suddenly and the maximum drop in temperature for each rain-induced cooling averaged 3.6°C (n = 79 nests, min = 1.0°C, max = 7.4°C). Since green sea turtles have temperature-dependent sex determination, with low incubation temperatures producing males, such major rainfall events may have a masculinization effect on primary sex ratios. Therefore, in some cases, extreme rainfall events may provide a "get-out-of-jail-free card" to avoid complete feminization of turtle populations as climate warming continues.</p>
Data for "Hydrodynamic and Geomorphological Responses of Tidal Flats to Extreme Climate Events with Implications for Coastal Managements"
<p>Data used for the plots can be found:</p> <p>1) <strong>uav_z.mat </strong>is used for producing figure 2 and 3.</p> <p>2) <strong>timeseries.mat </strong>is used for producing figure 5 and 6.</p>
Environmental data from: Potential distributions of invasive vertebrates in the Iberian Peninsula under projected changes in climate extreme events
<p>This dataset includes climatic variables representing extreme events indices defined by the World Meteorological Organization (<a href="https://public.wmo.int/en">https://public.wmo.int/en</a>). The variables were calculated based on five Regional Climate Models or RCMs (UAHE-REM, UCAN-WRA, UCAN-WRB, UCLM-PRO and UMUR-MM5) for the periods 1971-2000 ('current climate') and 2021-2050 ('future climate') under the SRES A1B Emissions Scenario. We used RCMs instead of global climate models (GCMs) because the latter have an overly coarse resolution compared to the spatial resolution of our species distribution data. Since RCMs downscale climate fields from GCMs, they provide information at fine (meso or micro) scales that are more accurate for studies of regional phenomena and for application to climate impact assessments. Climatic variables were calculated in collaboration with the Numerical Modelling Group for the Environment and Climate (MOMAC, <a href="https://www.uclm.es/grupos/momac">https://www.uclm.es/grupos/momac</a>) of the University of Castilla-La Mancha (UCLM).</p>
Extreme rainfall events and cooling of sea turtle clutches: implications in the face of climate warming
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Data from: Extreme heat events and the vulnerability of endemic montane fishes to climate change
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Data from: Tackling extremes: challenges for ecological and evolutionary research on extreme climatic events
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Environmental data from: Potential distributions of invasive vertebrates in the Iberian Peninsula under projected changes in climate extreme events
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Data from: Extreme climate events counteract the effects of climate and land-use changes in Alpine treelines
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Extreme events changes over China under 1.5-4°C global warming targets: projected by an ensemble of regional climate model simulations
<p>This file is for the upload of data for 2019JD031057R.</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)
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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.