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382 results for “Climate impacts”
Output data: China's energy-water-land system co-evolution under carbon neutrality goal and climate impacts
<p>Outputs for Wang, J., Duan, Y., Wang, C., 2023. China’s energy-water-land system co-evolution under carbon neutrality goal and climate impacts. (In progress)</p> <p>Folder demeter contains the spatially downscaled land use/land cover datasets.<br> Folder tethys contains the spatially downscaled water withdrawal datasets.</p> <p>The sub-folder names correspond to the scenarios described in the paper.</p> <p>For landcover datasets, land type ratios in each grid are presented. Land types include water, forest, shrub, grass, urban, snow, sparse and crops.</p> <p>For water withdrawal datasets, “wd” = “water withdrawal spatially downscaled”, “twd” = “water withdrawal spatially and temporally downscaled”, “dom”=”domestic/municipal sector”, “elec”=”electricity sector”, ”irr”=”irrigation sector”, “liv”=”livestock sector”, “mfg”=”manufacturing/industry sector”, “min”=”mining/primary energy sector”, “nonag”=”non-agricultural sector”, “total”=”all sectors”.<br> </p>
What Do Firms Say in Reporting on Impacts of Climate Change? An Approach to Monitoring ESG Actions and Environmental Policy
<p>This paper focuses on two research questions arising from the 2010 U.S. Securities and Exchange Commission (SEC) Advisory on climate change reporting: (1) How does the discussion of climate change in SEC filings change after the Advisory? and (2) What are firms talking about when they talk about climate change?<br> Findings were obtained from the 218,000 10-K filings to the SEC during the 2000--2019 period. The study develops and applies text mining methodology based on extracting information from the ``semantic associates'' in the ``neighborhoods'' of indicative terms. On (1) it finds that climate change-related reporting does increase substantially after the SEC guidance. On (2) a nuanced picture emerges. Firms with comparatively larger transition risks tend to discuss climate change comparatively more, focusing on regulation-related topics. Firms exposed to the physical risks of climate change tend to discuss climate change somewhat less, focusing on meteorological topics. The results enrich our understanding regarding environmental policies and firms' behaviors regarding climate change. Theoretical and practical implications are provided.</p>
The Impact of Climate Change on Extreme Winds over Northern Europe According to CMIP6: data and codes
<p>Data and codes for the paper submitted to WES "The Impact of Climate Change on Extreme Winds over Northern Europe According to CMIP6"</p> <p>Data:</p> <p>1. U50*.nc: 50-year wind with spectral correction method from 18 CMIP6 models</p> <p>2. annual_max*.nc: annual wind maxima from 18 CMIP6 models</p> <p>3. spe*.dat: example of power spectrum from the original wind speed time series from a CMIP6 model and power spectrum with spectral correction</p> <p>Codes:</p> <p>1. AnnualMax*.py : calculate extreme winds from 18 CMIP6 models</p> <p>2. XFuture-code-sharing.nb: Mathematca code for analysis of data on the effect of climate change, and pack data for plotting using MATLAB</p> <p>3. *.m: MATLAB codes for plotting figures on climate change </p> <p> </p> <p> </p>
Contrasting impacts of climate change on protection forests of the Italian Alps: Supporting Data
<p><strong>Input files</strong> for the ForClim model (version 4.0.1) used in the associated paper. They can be used to to reproduce results of the simulation study.</p> <p>The ForClim model, including the source code, executable and documentation, is freely available under an Open Access license from the website of the original developers at <a href="https://ites-fe.ethz.ch/openaccess/">https://ites-fe.ethz.ch/openaccess/</a>. The original climatic dataset used to generate the ForClim input climate files at each site in South Tyrol is freely available at <a href="https://doi.pangaea.de/10.1594/PANGAEA.924502">https://doi.pangaea.de/10.1594/PANGAEA.924502</a> while the CHELSA climate data for future scenarios are available at <a href="https://www.chelsa-climate.org">https://www.chelsa-climate.org</a>.</p> <p>If interested in using this dataset for a research study or a project, please contact <a href="https://www.marco-mina.com">Marco Mina</a></p> <p>-----------------------------------------------------------------------</p> <p>Hillebrand L, Marzini S, Crespi A, Hiltner U & Mina M (2023) <strong>Contrasting impacts of climate change on protection forests of the Italian Alps</strong>. <em>Frontiers in Forests and Global Change</em>, 6, 2023 <em> </em><a href="https://doi.org/10.1111/gcb.16197">https://doi.org/</a><a href="https://doi.org/10.3389/ffgc.2023.1240235">10.3389/ffgc.2023.1240235</a></p> <p>ABSTRACT.</p> <p>Protection forests play a key role in protecting settlements, people, and infrastructures from gravitational hazards such as rockfalls and avalanches in mountain areas. Rapid climate change is challenging the role of protection forests by altering their dynamics, structure, and composition. Information on local- and regional-scale impacts of climate change on protection forests is critical for planning adaptations in forest management. We used a model of forest dynamics (ForClim) to assess the succession of mountain forests in the Eastern Alps and their protective effects under future climate change scenarios. We investigated eleven representative forest sites along an elevational gradient across multiple locations within an administrative region, covering wide differences in tree species structure, composition, altitude, and exposition. We evaluated protective performance against rockfall and avalanches using numerical indices (i.e., linker functions) quantifying the degree of protection from metrics of simulated forest structure and composition. Our findings reveal that climate warming has a contrasting impact on protective effects in mountain forests of the Eastern Alps. Climate change is likely to not affect negatively all protection forest stands but its impact depends on site and stand conditions. Impacts were highly contingent to the magnitude of climate warming, with increasing criticality under the most severe climate projections. Forests in lower-montane elevations and those located in dry continental valleys showed drastic changes in forest structure and composition due to drought-induced mortality while subalpine forests mostly profited from rising temperatures and a longer vegetation period. Overall, avalanche protection will likely be negatively affected by climate change, while the ability of forests to maintain rockfall protection depends on the severity of expected climate change and their vulnerability due to elevation and topography, with most subalpine forests less prone to loosing protective effects. Proactive measures in management should be taken in the near future to avoid losses of protective effects in the case of severe climate change in the Alps. Given the heterogeneous impact of climate warming, such adaptations can be aided by model-based projections and high local resolution studies to identify forest stand types that might require management priority for maintaining protective effects in the future.</p>
Seaweed supplementation to organic dairy cows may reduce climate impact of manure in pasture soils during a laboratory incubation
<p>The attached dataset is the data used in the laboratory incubation titled "Seaweed supplementation to organic dairy cows may reduce climate impact of manure in pasture soils during a laboratory incubation" accepted for publication in Journal of Sustainable Agriculture and Environment.</p>
Season-specific impacts of climate change on canopy-forming seaweed communities
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Data from: Choice of prioritization method impacts recommendations for climate-informed bird conservation in the United States
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Data from: Impact of agricultural weathering on physicochemical properties of biodegradable plastic mulch films: comparison of two diverse climates over four successive years
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Coupled PPE model output - land parameter impacts on the mean climate state
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Nor climate, nor human impact factors: Chytrid infection shapes the skin microbiome of an endemic amphibian along a biodiversity hotspot
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Data from: Climate change is predicted to impact the global distribution and richness of pines (genus Pinus) by 2070
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Climate change impacts on diapause outcomes in Bombus terrestris across an environmental gradient
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Data from: The impacts of climate and the extreme drought in 2018 on population growth in Swedish moth species
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Modelling 21st-century refugia and the impact of climate change on Amazonia's largest primates
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Multidecadal, continent-level analysis indicates agricultural practices impact wheat aphid loads more than climate change
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Data from: Recent climate change strongly impacted the population dynamic of a North American insect pest species
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Data from: The impacts of an AMOC slowdown on Southern Hemisphere and Australian climates at 8.2 ka in ACCESS-ESM1.5 model
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Data from: Evaluating the impact of historical climate and early human groups in the Araucaria Forest of Eastern South America
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Data from: Climate differentially impacts ticks infected and uninfected with Borrelia burgdorferi
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The impact of zonally symmetric and asymmetric climates on tropical cyclone genesis in coupled Aqua and Ridge Planets
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International Brain Laboratory public data
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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.