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31 results for “metal contamination”
Fig 1 in Different responses of epigeic beetles to heavy metal contamination depending on functional traits at the family level
Fig 1. Diagram of non-metric multidimensional scaling of beetle assemblages classified to three groups of contamination (square- almost uncontaminated sites, circle- moderately contaminated sites, diamond- highly contaminated sites)
Fig 2 in Different responses of epigeic beetles to heavy metal contamination depending on functional traits at the family level
Fig 2. Mean total density ± SE of the most frequently occurring groups of beetles in three classes of contaminations along the season (circle- almost uncontaminated sites, square- moderately contaminated sites, triangle- highly contaminated sites).
Assessing Heavy Metal Contamination in Agricultural Soils: A Predictive Model Integrating GIS Tools and Probability-Risk Matrix – Case Study: Guarda Region, Portugal
<p>In these files we can find the final risk map of heavy metal contamination for the guarding area in Portugal obtained according to the methodology explained in the paper "Assessing Heavy Metal Contamination in Agricultural Soils: A Predictive Model Instegrating GIS Tools and Probability-Risk Matrix - Case Study: Guarda Region (Portugal)</p> <p>Final Risk Equal.tiff: GeoTiff with a pixel size of 30m. EPSG:3763 - ETRS89 / Portugal TM06</p> <p>Also attached is the symbolisation for the image in .qml (Quantum GIS Layer Style File) format.</p> <p>A file called RISK RECLASS is also available, where you can find the risk classification maps for each of the studied factors: </p> <ul> <li>Proximity to roads</li> <li>Proximity to industrial areas</li> <li>Ph</li> <li>Soil organic content</li> <li>Slope</li> <li>Soil texture</li> <li>Mining extraction areas </li> <li>Drainage</li> </ul> <p>finally a DATABASE file where the data of the 360 points for the calculation of the risk maps can be found. </p>
Figure 1 in Heavy metal (cadmium, lead, and chromium) contamination in farmed fish: a potential risk for consumers' health
Figure 1. Map of the study area.
Data and script for analyses from the manuscript titled: Contaminant metal concentrations in three species of aquatic macrophytes from the Coeur d'Alene Lake basin, USA..
<p>These files include R statistical software script, an archived "project" file, and a "ReadMe.rtf" file. See the "ReadMe.rtf" file for further instructions. Also, please see the full article for more detail at: </p> <p>Scofield, B.D., Torso, K., Fields, S.F., & D.W. Chess<em>.</em> Contaminant metal concentrations in three species of aquatic macrophytes from the Coeur d’Alene Lake basin, USA. <em>Environ Monit Assess</em> <strong>193, </strong>683 (2021). <a href="https://doi.org/10.1007/s10661-021-09488-y">https://doi.org/10.1007/s10661-021-09488-y</a> </p>
Data from: Urban heavy metal contamination limits bumble bee colony growth
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IronRefs database of bibliographic data on remediation of contaminated environmental materials using zerovalent metals such as iron (ZVI)
<p>Database of bibliographic data for publications (journal articles, reports, patents, presentation abstracts, etc.) on the use of zerovalent metals (ZVMs)—especially zerovalent iron (ZVI)—for remediation or treatment of contaminated environmental materials (mainly groundwater, but also wastewater, soil, and sediment).</p> <p>The data were compiled and curated between 1996 and 2011 by members of the research group of Professor Paul G. Tratnyek at the Oregon Graduate Institute in Beaverton, Oregon, USA. At the beginning, the field was very small and most new work appeared first in gray-literature, so manual curation of the database made it a uniquely-valuable resource for the community.</p> <p>The original list of references was replaced with a searchable online database in 1998, which was named the “IronRefs” database and made available to all at <a href="http://cgr.ebs.ogi.edu/ironrefs/">http://cgr.ebs.ogi.edu/ironrefs/</a>. The database was updated periodically until 2011, by which time the field had grown so large that it was no longer practical to keep up with all of the new publications.</p> <p>The early development and impact of the IronRefs database was documented when it reached 500 records (Tratnyek, 2002) and when it reached 1000 records (Schneider et al., 2008). The former was published as an article in Groundwater Monitoring and Remediation (DOI: 10.1111/j.1745-6592.2002.tb00757.x) and the latter was given as a poster at the 6th International Conference on Chlorinated and Recalcitrant Compounds, Monterey, CA (PDF included here).</p> <p>In 2019, the server containing IronRefs was retired, so this unique resource became unavailable. In place of IronRefs, we provide here all of the data (2000+ records) in two tagged-field formats that are compatible with most bibliographic data management software: an EndNote compressed library (.enlx) and an RIS file (.ris). We also exported the data to a tab-delimited text file and provide that in .csv and .txt formats.</p> <p>Note that no new records were added to the IronRefs database after about mid-2011, so the value of the dataset provided here is largely historical. There are many newer publications that are relevant, and the literature on this topic continues to grow rapidly as of 2020.</p>
Data from: The bacterial community structure and functional profile in the heavy metal contaminated paddy soils,surrounding a nonferrous smelter in South Korea
The pollution of agricultural soils by the heavy metals affects the productivity of the land and has an impact on the quality of the surrounding ecosystems. The present study investigated the bacterial community structure in the heavy metal contaminated sites along a smelter and a distantly located paddy field to elucidate the factors that are related to the alterations of the bacterial communities under the conditions of heavy metal pollution. Among the study sites, the bacterial communities in the soil did not show any significant differences in their richness and diversity. The soil bacterial communities at the three study sites were distinct from one another at each site, possessing a distinct set of bacterial phylotypes. Among the study sites, significant changes were observed in the abundances of the bacterial phyla and genera. The variations in the bacterial community structure were mostly related to the general soil properties at the phylum level, while at the finer taxonomic levels, the concentrations of arsenic (As) and lead (Pb) were the significant factors, affecting the community structure. The relative abundances of the genera Desulfatibacillum and Desulfovirga were negatively correlated to the concentrations of As, Pb, and cadmium (Cd) in the soil, while the genus Bacillus was positively correlated to the concentrations of As and Cd. According to the results of the prediction of bacterial community functions, the soil bacterial communities of the heavy metal polluted sites were characterized by the more abundant enzymes, involved in DNA replication and repair, translation, transcription, and the nucleotide metabolism pathways, while the amino acid and lipid metabolism, as well as the biodegradation potential of xenobiotics, were reduced. Our results showed that the adaptation of the bacterial communities to the heavy metal contamination was predominantly attributed to the replacement process, while the changes in community richness were linked to the variations in the soil pH values.
Data from: Ecological selection of siderophore-producing microbial taxa in response to heavy metal contamination
Some microbial public goods can provide both individual and community-wide benefits, and are open to exploitation by non-producing species. One such example is the production of metal-detoxifying siderophores. Here, we investigate whether conflicting selection pressures on siderophore production by heavy metals – a detoxifying effect of siderophores, and exploitation of this detoxifying effect – results in a net increase or decrease. We show that the proportion of siderophore-producing taxa increases along a natural heavy metal gradient. A causal link between metal contamination and siderophore production was subsequently demonstrated in a microcosm experiment in compost, in which we observed changes in community composition towards taxa that produce relatively more siderophores following copper contamination. We confirmed the selective benefit of siderophores by showing that taxa producing large amount of siderophores suffered less growth inhibition in toxic copper. Our results suggest that ecological selection will favour siderophore-mediated decontamination, with important consequences for potential remediation strategies.
Data from: Maladaptation to acute metal exposure in resurrected Daphnia ambigua clones after decades of increasing contamination
Human environmental impacts have driven some of the strongest and fastest phenotypic changes recorded in wild animal populations. Across populations, this variation is often adaptive, as populations evolve fitness advantages in response to human-modified environments. Yet some populations fail to adapt to changing environments. Evidenced by declines in relative fitness, such seemingly maladaptive outcomes are less common, but may be more likely in human modified contexts. Further, our ability to investigate the dynamics of these adaptive and maladaptive responses over time is typically limited in natural systems. I combined resurrection ecology and paleolimnology approaches to examine evolutionary responses of the freshwater zooplankter Daphnia to exposure to heavy metal contamination over the past 50-75 years using animals hatched from diapausing egg banks. In contrast to the predicted trend of adaptation to metal exposure over time, I observed an increase in sensitivity to both copper and cadmium exposure associated with increasing historic contamination. This potentially maladaptive trend occurred in Daphnia populations in three lakes. Given that the release of toxicants such as heavy metals is widespread and other researchers have observed local maladaptation to toxicant exposure, it is important to understand the drivers and implications of this pattern.
Exposure to urban heavy metal contamination diminishes bumble bee colony growth
<p>As a result of their industrial past, legacy cites often have elevated concentrations of soil heavy metal contamination. Metal pollution can have negative and prolonged ecosystem impacts, and bees that forage in these urban ecosystems are at risk of exposure. Legacy cities are known to support species rich bee communities, which highlights the importance of determining the impact of heavy metal contamination on wild bee health. We examined how oral exposure to concentrations of four metals found within the provisions of bees foraging within Cleveland, Ohio, USA influenced colony growth of <em>Bombus impatiens</em> Cresson (Hymenoptera: Apidae), a common species within legacy cities across the eastern United States. Colony weight and brood survivorship were compared among hives fed uncontaminated sucrose solution (hereafter nectar), nectar spiked with one metal (arsenic, cadmium, chromium, or lead), and nectar containing all metals, after 15 or 30 d of exposure within flight tents. Across both exposure periods, we found a significantly higher proportion of dead brood in metal exposed hives. Additionally, colonies fed all four metals had a significantly higher proportion of dead brood than those fed a single metal. Our findings illustrate that even low, environmentally relevant concentrations of metals collected by B. impatiens in legacy cities can negatively influence bee colony growth. We highlight the need to identify metal exposure routes for bees in contaminated landscapes to minimize risk and bolster conservation habitat initiative success.</p>
Geology and the Potential of Soil Contamination Due to Heavy Metals Around Banyuroto Landfill, Kulon Progo
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Environmental Exposure to Heavy Metals, Nanoparticles, and Emergent Contaminants and Risk of Allergic Diseases
ClinicalTrials.gov study NCT06529913. IPD Sharing: NO. Countries: 1. Publications: 9.
Data from: Daphniid zooplankton assemblage shifts in response to eutrophication and metal contamination during the Anthropocene
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Data from: Ecological selection of siderophore-producing microbial taxa in response to heavy metal contamination
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Data from: Maladaptation to acute metal exposure in resurrected Daphnia ambigua clones after decades of increasing contamination
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Exposure to urban heavy metal contamination diminishes bumble bee colony growth
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Data from: The bacterial community structure and functional profile in the heavy metal contaminated paddy soils,surrounding a nonferrous smelter in South Korea
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Heavy metal contamination and blue carbon sequestration in mangrove ecosystems of Puerto Rico
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Data from: RAD-sequencing reveals within-generation polygenic selection in response to anthropogenic organic and metal contamination in North Atlantic Eels
Measuring the effects of selection on the genome imposed by human-altered environment is currently a major goal in ecological genomics. Given the polygenic basis of most phenotypic traits, quantitative genetic theory predicts that selection is expected to cause subtle allelic changes among covarying loci rather than pronounced changes at few loci of large effects. The goal of this study was to test for the occurrence of polygenic selection in both North Atlantic eels (European Eel, Anguilla anguilla and American Eel, A. rostrata), using a method that searches for covariation among loci that would discriminate eels from "control" vs. "polluted" environments and be associated with specific contaminants acting as putative selective agents. RAD-seq libraries resulted in 23,659 and 14,755 filtered loci for the European and American Eels respectively. A total of 142 and 141 covarying markers discriminating European and American Eels from "control" vs. "polluted" sampling localities were obtained using the Random Forest algorithm. Distance-based redundancy analyses (db-RDAs) were used to assess the relationships between these covarying markers and concentration of 34 contaminants measured for each individual eel. PCB153, 4'4'DDE and selenium were associated with covarying markers for both species, thus pointing to these contaminants as major selective agents in contaminated sites . Gene enrichment analyses suggested that sterol regulation plays an important role in the differential survival of eels in "polluted" environment. This study illustrates the power of combining methods for detecting signals of polygenic selection and for associating variation of markers with putative selective agents in studies aiming at documenting the dynamics of selection at the genomic level, and particularly so in human altered environments.
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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.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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