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23 results for “anthropogenic climate change”
Research data related to the article "Understanding Climate Change and Anthropogenic Impacts on the Salinization of Low-lying Coastal Groundwater Systems"
<p><strong>Research Data related to the article "Understanding Climate Change and Anthropogenic Impacts on the Salinization of Low-lying Coastal Groundwater Systems" by Seibert et al. (2024) published in <em>Earth's Future</em></strong></p> <p>Dear reader,</p> <p>reasearch data are provided for the research article "Understanding Climate Change and Anthropogenic Impacts on the Salinization of Low-lying Coastal Groundwater Systems" by Seibert et al. (2024) published in <em>Earth's Future</em>. The authors hope that the research data allows for a better understanding of the modeling workflow. Questions regarding the modeling approach etc. can be directed to the authors, see contact details below.</p> <p>The research data covers the following files:</p> <ul> <li>iMOD-Python (Visser and Bootsma, 2019) scripts to create the iMOD-WQ (Verkaik et al., 2021) input files for the n=566 model variants. Subfolders for each model variant and corresponding files are stored in the subfolder 'model_variants'. An overview regarding the set-up of the model variants is presented in the .xlsx spreadsheet 'model_variants_overview.xlsx' in the folder 'model_variants'.</li> <li>Base data files, used as input files to iMOD-WQ (Verkaik et al., 2021), stored in the subfolder 'imod_input'. However, in most cases no consent for re-distribution of these data sets exists, and they cannot be made freely available through this publication. Please, consider the corresponding meta-data files and/or get in touch with one of the authors for further information.</li> <li>Post-processed model output data, which was further used for model evaluation, stored in the subfolder 'model_output'.</li> <li>Figure files and the corresponding .py scripts, stored in the subfolder 'figures'.</li> </ul> <p>Meta-data files are provided with data files in the different subfolders for clarification.</p> <p>iMOD-WQ (Verkaik et al., 2021) input and .run-files were executed on the University Oldenburg High-Performance Cluster 'Rosa', funded by DFG through its Major Research Instrumentation Program, INST 184/225-1 FUGG, and the Ministry of Science and Culture (MWK) of the Lower Saxony State.</p> <p>Further information on the iMOD suite can be found here: https://deltares.github.io/iMOD-Documentation/</p> <p>The DFG is thanked for SALTSA project funding (DFG project number MA 3274/9-1) within the Priority Programme ‘Regional Sea Level Change and Society (SeaLevel)’. Research related to this article further benefited from funding of the projects WAKOS (BMBF; support code 01LR2003E) and the DFG research unit FOR 5094: The dynamic deep subsurface of high-energy beaches (DynaDeep).</p> <p>Literature:</p> <p>Verkaik, J., Hughes, J. D., van Walsum, P. E. V., Oude Essink, G. H. P., Lin, H. X., & Bierkens, M. F. P. (2021). Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument. Environmental Modelling & Software, 143, p.105092.</p> <p>Visser, M., & Bootsma, H. (2019). iMOD-Python: Work with iMOD MODFLOW models in Python. Retrieved from https://imod.xyz/</p> <p>Seibert, S. L., Greskowiak, J., Oude Essink, G. H. P., & Massmann, G. (2024). Understanding climate change and anthropogenic impacts on the salinization of low‐lying coastal groundwater systems. Earth's Future, 12, e2024EF004737. https://doi.org/10.1029/2024EF004737<br><br><strong>Contact one of the authors if you have further questions</strong>: Stephan L. Seibert (stephan.seibert@uol.de), Janek Greskowiak (janek.greskowiak@uol.de), Gualbert H.P. Oude Essink (Gualbert.OudeEssink@deltares.nl) or Gudrun Massmann (gudrun.massmann@uol.de)</p>
Figure 3 in Phytoplankton adaptation strategies under the influence of climatic changes and anthropogenic pressure on the Black Sea coastal ecosystems on the example Sevastopol Bay
Figure 3. Multiannual dynamics: a, d – concentrations of chlorophyll a (1), phytoplankton biomass (2) and water temperature (3), b, e – concentrations of nitrates (1), silicon (2), phosphates (3) and ammonium (4), c, f- diatoms contribution (1), dinoflagellates (2) and coccolithophorides (3) in the total phytoplankton biomass in Sevastopol Bay in summer and autumn.
Figure 2 in Phytoplankton adaptation strategies under the influence of climatic changes and anthropogenic pressure on the Black Sea coastal ecosystems on the example Sevastopol Bay
Figure 2. Multiannual dynamics: a, d – concentrations of chlorophyll a (1), phytoplankton biomass (2) and water temperature (3), b, e – concentrations of nitrates (1), silicon (2), phosphates (3) and ammonium (4), c, f- diatoms contribution (1), dinoflagellates (2) and coccolithophorides (3) in the total phytoplankton biomass in Sevastopol Bay in winter and spring
Changes Monitoring in Hongjiannao Lake from 1987-2023 using Google Earth Engine and Analysis of Climatic and Anthropogenic Forces (Climatic Data)
<p>This dataset presents temporal (1987 to 2023) climatic data for the weather station near Hongjiannao Lake.</p>
Supplementary Data for "Co-occurrence of climate-change induced and anthropogenic pressures in Central American key biodiversity areas"
<p>Supplementary Data for the article "Co-occurrence of climate-change induced and anthropogenic pressures in Central American key biodiversity areas"</p> <p>This includes the pressure score maps for all climate scenarios / SSPs for the historical and future time periods as well as the script used for preparing the anthropogenic pressure maps (human footprint mapping).</p>
Impacts of anthropogenic emission change scenarios on U.S. water and carbon balances at national and state scales in a changing climate
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Anthropogenic activity and climate change exacerbate the spread of pathogenic bacteria in the environment
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Data for: Anthropogenic climate change has reduced drought recovery probabilities across the western US
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Projected effects of climate change on boreal bird community accentuated by anthropogenic disturbances in western boreal forest, Canada
<p><b>Aim</b></p> <p>Climate change<b> </b>is expected to influence boreal bird communities significantly, notably through changes in forest habitat (composition and age structure),<b> </b>in the coming decades. How these changes will accumulate and interact with anthropogenic disturbances remains an open question for most species.</p> <p><b>Location</b></p> <p>Northeastern Alberta, Canada.</p> <p><b>Methods </b></p> <p>We used the LANDIS-II forest landscape model to project changes in forest landscapes, and associated bird populations (72 passerine species), according to three climatic scenarios (baseline, RCP 4.5, RCP 8.5) and three forest harvesting scenarios of differing intensity.</p> <p><b>Results</b></p> <p>Both forest harvesting and climate-related drivers were projected to have large impacts on bird communities in this region. As a result of climate-induced increases in fire activity as well as decreased conifer productivity, our simulations projected that an important proportion of Alberta's boreal forests would transition to treeless habitat (i.e. grass-, or shrub-dominated vegetation) while many conifer-dominated stands would likely be replaced by broadleaf tree cover. Consequently, the abundance of bird species associated with open and deciduous habitats were projected to increase. With a strong anthropogenic climate forcing scenario (RCP 8.5), sharp declines in abundance of coniferous trees were also projected, particularly in mature and old forest stands, triggering major declines for bird species associated with coniferous and mixedwood forest types.</p> <p><b>Main Conclusions</b></p> <p><a>As the most comprehensive simulation of climate change and harvesting impacts on avian habitats in the North American boreal region to date</a>, our study <a>reveals</a> the importance of considering key habitat characteristics like forest age structure and composition through forest landscape modeling, and identifies 18 bird species particularly sensitive to climate change. Our simulations suggest that a change in forest management practices could play an important role in the conservation of boreal bird species vulnerable to climate change. The intensive forest harvesting simulated accelerated declines in bird abundance compared to a "no harvesting" scenario.</p> <div> <div> <div class="msocomtxt"> </div> </div> </div>
Data from: Modeling the effects of anthropogenic exploitation and climate change on an endemic stag beetle, Lucanus miwai, of Taiwan
Loss of biodiversity is a worldwide phenomenon and conservation of endemic species is becoming a pressing issue. However, species differ in life history characteristics, causing the best strategy for conservation to vary among species. Lucanus miwai is an endemic stag beetle of Taiwan, but the natural history and the conservation status of L. miwai have not been fully studied. Lucanus miwai adults live in forest-edge grassland habitats and are experiencing threats from anthropogenic exploitation. Additionally, climate change may threaten its long-term survival because of its specific habitat preference. Results from this study clearly indicate the need for more studies on the natural history of L. miwai and demonstrate that contemporary intensity of anthropogenic exploitation can have a negative effect on population size of this species. Future habitat loss because of global climate change, in addition, can be another major factor leading to population decline. Moreover, increasing demands on L. miwai because of population decline may lead to population extinction. In addition to protecting adult males from being collected, conservation strategies should also focus on discovering habitats utilized by individuals from different life stages, investigating the connectivity between populations, and maintaining the long-term availability of suitable habitats for L. miwai.
Data from: European wildcat populations are subdivided into five main biogeographic groups: consequences of Pleistocene climate changes or recent anthropogenic fragmentation?
Extant populations of the European wildcat are fragmented across the continent, the likely consequence of recent extirpations due to habitat loss and over-hunting. However, their underlying phylogeographic history has never been reconstructed. For testing the hypothesis that the European wildcat survived the Ice Age fragmented in Mediterranean refuges, we assayed the genetic variation at 31 microsatellites in 668 presumptive European wildcats sampled in 15 European countries. Moreover, to evaluate the extent of subspecies/population divergence and identify eventual wild × domestic cat hybrids, we genotyped 26 African wildcats from Sardinia and North Africa and 294 random-bred domestic cats. Results of multivariate analyses and Bayesian clustering confirmed that the European wild and the domestic cats (plus the African wildcats) belong to two well-differentiated clusters (average ФST = 0.159, rst = 0.392, P > 0.001; Analysis of molecular variance [AMOVA]). We identified from c. 5% to 10% cryptic hybrids in southern and central European populations. In contrast, wild-living cats in Hungary and Scotland showed deep signatures of genetic admixture and introgression with domestic cats. The European wildcats are subdivided into five main genetic clusters (average ФST = 0.103, rst = 0.143, P > 0.001; AMOVA) corresponding to five biogeographic groups, respectively, distributed in the Iberian Peninsula, central Europe, central Germany, Italian Peninsula and the island of Sicily, and in north-eastern Italy and northern Balkan regions (Dinaric Alps). Approximate Bayesian Computation simulations supported late Pleistocene–early Holocene population splittings (from c. 60 k to 10 k years ago), contemporary to the last Ice Age climatic changes. These results provide evidences for wildcat Mediterranean refuges in southwestern Europe, but the evolution history of eastern wildcat populations remains to be clarified. Historical genetic subdivisions suggest conservation strategies aimed at enhancing gene flow through the restoration of ecological corridors within each biogeographic units. Concomitantly, the risk of hybridization with free-ranging domestic cats along corridor edges should be carefully monitored.
Local anthropogenic stress does not exacerbate coral bleaching under global climate change
<p><strong>Aim</strong>. Rising ocean temperatures are widely recognised as the dominant driver behind the rapid degradation of coral reefs via the process of coral bleaching (the expulsion of photosynthetic endosymbionts which reveals the coral skeleton). However, bleaching of hard corals is often assumed to be further aggravated by the effect of local-scale stressors from anthropogenic activity, accelerating coral reef decline where these stressors are stronger. Despite the importance of this hypothesis, the interaction between climate change and local stressors for driving coral bleaching has only been investigated in a handful of studies, with no large-scale (regional or global) test conducted thus far. We investigate the impact of human population density (HPD) – a proxy for local stressors - in both protected and non-protected marine regions, and their interaction under heat stress as drivers of coral bleaching.</p> <p><strong>Location</strong>. Global.</p> <p><strong>Time period</strong>. 2002-2018.</p> <p><strong>Major Taxa Studied</strong>. Scleractinia corals.</p> <p><strong>Methods</strong>. Using 9,170 coral reef surveys worldwide, we performed Bayesian modeling to assess the probability of coral bleaching in response to local-scale stressors in interaction with global warming.</p> <p><strong>Results</strong>. Local HPD does not exacerbate coral bleaching, either independently or under thermal stress from climate change. Rather, the relationship between HPD and temperature stress appears weakly antagonistic for coral bleaching, contradicting the expectation that HPD increases the sensitivity of corals to bleaching under thermal stress.</p> <p><strong>Main conclusions</strong>. Local HPD does not interact with global warming by degrading coral reefs. However, regional variation in bleaching patterns exists. Consequently, bleaching will continue to occur on most coral reefs globally regardless of local HPD. Thus, it is likely that even isolated, well-protected, coral reefs will continue to decline because of climate warming-induced bleaching. Therefore, tackling the source of global warming remains the most effective way of mitigating coral reef decline via coral bleaching.</p>
Changes Monitoring in Hongjiannao Lake from 1987-2023 using Google Earth Engine and Analysis of Climatic and Anthropogenic Forces
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Figure 4 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?
Figure 4. Maps of the potential distribution of O. septentrionalis as expected for 2020, 2050 and 2080 assuming A2a and B2a conditions. Maps show mean values of Maxent values derived from models projected onto CCCMA, CISRO and HADCM3 scenarios.
Figure 3 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?
Figure 3. Comparison between the known distribution of O. septentrionalis (A) (source: Johnson (2007)) and model prediction in Florida (B). Spread history of O. septentrionalis is indicated.
Figure 2 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?
Figure 2. Potential distribution of O. septentrionalis under current climate conditions within the Caribbean. Higher Maxent values suggest higher climatic suitability. Native records are indicated as points and invasive records as triangles.
Figure 1 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?
Figure 1. Comparison of climatic conditions at native and invasive records of Osteopilus septentrionalis. Native records used for model building are indicated in black, invasive records in grey.
Data from: Modeling the effects of anthropogenic exploitation and climate change on an endemic stag beetle, Lucanus miwai, of Taiwan
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Data from: European wildcat populations are subdivided into five main biogeographic groups: consequences of Pleistocene climate changes or recent anthropogenic fragmentation?
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Projected effects of climate change on boreal bird community accentuated by anthropogenic disturbances in western boreal forest, Canada
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.