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74 results for “2100”
Distribution. Restricted to three montane swamps (2100-2300 m) in E DR Congo (Mt Kahuzi) and high-elevation swamps in SW Uganda (Echuya Forest, Ngoto Swamp, Ruhija, Mubwindi Swamp, and Bwindi Impenetrable National Park) at 1500-2380 m. Extensive surveys in swamps in Burundi and Rwenzori Mts have notyielded any specimens. in Soricidae
Distribution. Restricted to three montane swamps (2100-2300 m) in E DR Congo (Mt Kahuzi) and high-elevation swamps in SW Uganda (Echuya Forest, Ngoto Swamp, Ruhija, Mubwindi Swamp, and Bwindi Impenetrable National Park) at 1500-2380 m. Extensive surveys in swamps in Burundi and Rwenzori Mts have notyielded any specimens.
FIGURE2. Colletotrichum serranegrense COAD 2100. A in Colletorichum serranegrense sp. nov., a new endophytic species from the roots of the endangered Brazilian epiphytic orchid Cattleya jongheana
FIGURE2. Colletotrichum serranegrense COAD 2100. A, Setae; B, Appressoria; C, Conidiophores; D, Conidia. Scale bars =10 μm.
Data from: Novel and disappearing climates in the global surface ocean from 1800 to 2100
<p>Marine ecosystems are experiencing unprecedented warming and acidification caused by anthropogenic carbon dioxide. For the global sea surface, we quantified the degree that present climates are disappearing and novel climates (without recent analogs) are emerging, spanning from 1800 through different emission scenarios to 2100. We quantified the sea surface environment based on model estimates of carbonate chemistry and temperature. Between 1800 and 2000, no gridpoints on the ocean surface were estimated to have experienced an extreme degree of global disappearance or novelty. In other words, the majority of environmental shifts since 1800 were not novel, which is consistent with evidence that marine species have been able to track shifting environments via dispersal. However, between 2000 and 2100 under Representative Concentrations Pathway (RCP) 4.5 and 8.5 projections, 10–82% of the surface ocean is estimated to experience an extreme degree of global novelty. Additionally, 35–95% of the surface ocean is estimated to experience an extreme degree of global disappearance. These upward estimates of climate novelty and disappearance are larger than those predicted for terrestrial systems. Without mitigation, many species will face rapidly disappearing or novel climates that cannot be outpaced by dispersal and may require evolutionary adaptation to keep pace.</p>
POD6, POD0, O3 concentrations, and Jarvis functions in order to assess the global flux-based ozone risk for wheat up to 2100 under different climate scenarios
<p>Model output associated with the study <em>“Global flux-based assessment reveals declining ozone risk for wheat in future climate change scenarios”</em> (Guaita <em>et al.</em>, 2025).</p> <p>The output is provided under the <strong>Creative Commons Attribution 4.0 International (CC BY 4.0)</strong> license. Please cite <strong>both this repository and the associated paper</strong> when referencing this output.</p> <p><strong>Associated paper:</strong></p> <blockquote> <p><strong>Guaita, P., et al.</strong> (2025).<br><em>Global flux-based assessment reveals declining ozone risk for wheat in future climate change scenarios.</em><br><em>Global Change Biology (Under review)</em>.<br><a href="https://doi.org/10.xxxx/xxxxx" target="_new" rel="noopener">https://doi.org/10.xxxx/xxxxx</a></p> </blockquote> <p><strong>Model documentation:</strong></p> <blockquote> <p><strong>Guaita, P. R., Marzuoli, R., & Gerosa, G.</strong> (2023).<br><em>A regional scale flux-based O₃ risk assessment for winter wheat in northern Italy, and effects of different spatio-temporal resolutions.</em><br><em>Environmental Pollution</em>, 333, 121860.<br><a href="https://doi.org/10.1016/j.envpol.2023.121860" target="_new" rel="noopener">https://doi.org/10.1016/j.envpol.2023.121860</a></p> </blockquote> <p><strong>Model code:</strong><br>See the GitHub repository <a href="https://github.com/prguaita/O3-Deposition-model-for-wheat"><em>O3-Deposition-model-for-wheat</em></a> (© 2025 Guaita & Gerosa. All rights reserved).</p> <p>⚠️ <strong>Warning:</strong><br>Do <strong>not</strong> cite the preprint <a href="https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2573/?utm_source=chatgpt.com" target="_new" rel="noopener">https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2573/</a> — this version is <strong>deprecated</strong>.</p>
Ensemble Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European Marine Species based on Ecological Niche Models developed with Artificial Neural Networks, Maximum Entropy, Support Vector Machines, and AquaMaps at 0.5° Resolution
<p>Ensemble Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European marine species based on Ecological Niche Models developed with (i) Artificial Neural Networks, (ii) Maximum Entropy, (iii) Support Vector Machines, and (iv) AquaMaps at 0.5° Resolution. The data report, for each 0.5° cell, how many models (from 0 to 4) overcome a model-specific decision threshold to assess species presence in the cell.</p>
Projected changes in forest biomass to 2100 by county and species for 20 future scenarios
<p>Climate change and atmospheric deposition of nitrogen (N) and sulfur (S) are important drivers of forest demography. Here we apply previously-derived growth and survival responses for 94 tree species, representing >90% of the contiguous U.S. forest basal area, to project how changes in mean annual temperature, precipitation, and N and S deposition from 20 different future scenarios may affect forest composition to 2100. We find that under the low climate change scenario (RCP 4.5), reductions in aboveground tree biomass from higher temperatures are roughly offset by increases in aboveground tree biomass from reductions in N and S deposition. However, under the higher climate change scenario (RCP 8.5) the decreases from climate change overwhelm increases from reductions in N and S deposition. These broad trends underlie wide variation among species. We found that averaged across temperature scenarios, the relative abundance of 60 species was projected to decrease by more than 5%, 20 species were projected to increase by more than 5%, and reductions of N and S deposition led to a decrease for 13 species and an increase for 40 species. This suggests large shifts in the composition of U.S. forests in the future. Negative climate effects were mostly from elevated temperature and were not offset by scenarios with wetter conditions. We found that by 2100 an estimated 1 billion trees under the RCP 4.5 scenario and 20 billion trees under the RCP 8.5 scenario may be pushed outside the temperature record upon which these relationships were derived. These results may not fully capture future changes in forest composition as several other factors were not included. Overall efforts to reduce atmospheric deposition of N and S will likely be insufficient to overcome climate change impacts on forest demography across much of the United States unless we adhere to the low climate change scenario.</p>
Projections of changes in the global distribution of shallow water ecosystems through 2100 due to climate change
<p>The global area and distribution of shallow water ecosystems (SWEs), and their projected responses to climate change, are fundamental for evaluating future changes in their ecosystem functions, including biodiversity and climate change mitigation and adaptation. Although previous studies have focused on a few SWEs, we modelled the global distribution of all major SWEs (seagrass meadows, macroalgal beds, tidal marshes, mangroves, and coral habitats) from current conditions (1986−2005) to 2100 under the representative concentration pathway (RCP) 2.6 and 8.5 emission scenarios. Our projections show that global coral habitat shrank by as much as 75% by 2100 with warmer ocean temperatures, but macroalgal beds, tidal marshes, and mangroves remained about the same because photosynthetic active radiation (PAR) depth did not vary greatly (macroalgal beds) and the shrinkage caused by sea-level rise was offset by other areas of expansion (tidal marshes and mangroves). Seagrass meadows were projected to increase by up to 11% by 2100 because of the increased PAR depth. If the landward shift of tidal marshes and mangroves relative to sea-level rise was restricted by assuming coastal development and land use, the SWEs shrank by 91.9% (tidal marshes) and 74.3% (mangroves) by 2100. Countermeasures may be necessary for coastal defense in the future; these include considering the best mix of SWEs and coastal hard infrastructure because the significant shrinkage in coral habitat could decrease wave energy. However, if appropriate coastal management is achieved, the other four SWEs, which have relatively high CO<sub>2</sub> absorption rates, can help mitigate the climate change influences.</p>
Data from: Climate impacts on trans-ocean dispersal and habitat in gray whales from the Pleistocene to 2100
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Data from: The effect of climate change on forest fire danger and severity in the Canadian boreal forests for the period 1976–2100
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Data from: Novel and disappearing climates in the global surface ocean from 1800 to 2100
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Data from: Predicted 2100 climate scenarios affects growth and skeletal development of tambaqui (Colossoma macropomum) larvae
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Projected changes in forest biomass to 2100 by county and species for 20 future scenarios
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Net primary production, heterotrophic respiration, and net ecoystem production out from TEM outputs: 1899 - 2100
Output from TEM modeling in North American black spruce grid cells Data from the following manuscript Clein, J.S., A.D. McGuire, X. Zhang, D.W. Kicklighter, J.M. Melillo, S.C. Wofsy, P.G. Jarvis, and J. M. Massheder. 2002. Historical and projected carbon balance of mature black spruce ecosystems across North America: The role of carbon-nitrogen interactions. Plant and Soil 242:15-32.
Net primary production, heterotrophic respiration, and net ecoystem production out from TEM outputs compared with Tower data: 1899 - 2100
Net primary production, heterotrophic respiration, and net ecoystem production out from TEM outputs compared with Tower data: 1899 - 2100.
Pojected temperature rise for 2040, 2060, 2080 and 2100, considering NOAA's climate model
<p>The data provided is the projected temperature rise for 2040, 2060, 2080 and 2100, considering the climate model from the NOAA's (National Oceanic Atmospheric Administration) Geophysical Fluid Dynamics Laboratory GFDL-CM3 under three Representative Concentration Pathway (RCP) scenarios, which are named for the approximate radiative forcing in year 2100: the lower forcing scenario RCP 2.6, a moderate scenario RCP 6.0 and the higher forcing scenario RCP 8.5 </p>
Codes for "Projected Arctic shipping navigates year-round by 2100 with operational advantages along the Northern Sea Route"
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Supplementary material 1 from: Lüdeke M, Germann C, Jentzsch M (2023) Laufkäfer und ihre Habitatpräferenzen entlang eines Höhentransekts von 2100 bis 2500 m ü. M. oberhalb der Alp Flix in den Schweizer Alpen (Coleoptera, Carabidae). Alpine Entomology 7: 57-62. https://doi.org/10.3897/alpento.7.102534
Urtabelle Feldaufnahmen
Pojected temperature rise for 2040, 2060, 2080 and 2100, considering NOAA's climate model
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Delta-X: NUMAR Soil Accretion Modeled to 2100, MRD, Louisiana, USA
This dataset holds modeled estimates of soil accretion for the Atchafalaya and Terrebonne basins in the Mississippi River Delta of coastal Louisiana, U.S. Soil accretion was predicted from 2021-2100 using the Numerical Understanding of Marsh Accretion Resilience (NUMAR) model. This process-based model is an adaptation of the NUMAN model that was modified for marsh environments. The input parameters were aggregated within ecogeomorphic cells, areas of similar vegetation and elevation. The dataset includes spatially explicit input values, description of important parameters, and a shapefile of model outputs.
WRKY33 binding sites in Arabidopsis upon Botrytis cinerea 2100 inoculation
GEO Series GSE66289. Arabidopsis thaliana. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
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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.