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22 results for “heavy metal contamination”

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zenodo40/100

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)

opencc-by-4.0Dec 2015View details →
zenodo40/100

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).

opencc-by-4.0Dec 2015View details →
zenodo36/100

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:&nbsp; 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:&nbsp;</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&nbsp;</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.&nbsp;</p>

opencc-by-4.0Mar 2024View details →
zenodo36/100

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.

opencc-by-4.0Sep 2015View details →
dryad36/100

Data from: Urban heavy metal contamination limits bumble bee colony growth

Open the record for dataset details and reuse information.

publicApr 2020View details →
dryad32/100

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.

opencc-zeroDec 2017View details →
dryad32/100

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.

opencc-zeroDec 2016View details →
dryad32/100

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>

opencc-zeroMar 2022View details →
zenodo32/100

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>

opencc-by-4.0Jun 2024View details →
ClinicalTrials.gov32/100

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.

closedIPD-NOFeb 2026View details →
dryad32/100

Data from: Ecological selection of siderophore-producing microbial taxa in response to heavy metal contamination

Open the record for dataset details and reuse information.

publicOct 2018View details →
dryad32/100

Exposure to urban heavy metal contamination diminishes bumble bee colony growth

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publicMar 2022View details →
dryad32/100

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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publicApr 2019View details →
dryad32/100

Heavy metal contamination and blue carbon sequestration in mangrove ecosystems of Puerto Rico

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publicAug 2025View details →
zenodo28/100

FIGURE 2 in Larvae of Hydropsyche angustipennis (Trichoptera, Hydropsychidae) as indicators of stream contamination by heavy metals in Łódź agglomeration

FIGURE 2. Annual results of the measured water parameters at given sampling sites.

opennotspecifiedDec 2016View details →
zenodo28/100

FIGURE 5 in Larvae of Hydropsyche angustipennis (Trichoptera, Hydropsychidae) as indicators of stream contamination by heavy metals in Łódź agglomeration

FIGURE 5. Presence of heavy metals in whole bodies and in water at given sampling sites.

opennotspecifiedDec 2016View details →
zenodo28/100

FIGURE 1 in Larvae of Hydropsyche angustipennis (Trichoptera, Hydropsychidae) as indicators of stream contamination by heavy metals in Łódź agglomeration

FIGURE 1. Study area with sampling sites.

opennotspecifiedDec 2016View details →
zenodo28/100

FIGURE 4 in Larvae of Hydropsyche angustipennis (Trichoptera, Hydropsychidae) as indicators of stream contamination by heavy metals in Łódź agglomeration

FIGURE 4. Annual content of heavy metals in larval bodies at given sampling sites.

opennotspecifiedDec 2016View details →
zenodo28/100

FIGURE 3 in Larvae of Hydropsyche angustipennis (Trichoptera, Hydropsychidae) as indicators of stream contamination by heavy metals in Łódź agglomeration

FIGURE 3. Hierarchical cluster analysis for abiotic and biotic parameters in given sampling sites.

opennotspecifiedDec 2016View details →
zenodo28/100

Evaluating Heavy Metal Mobility in Contaminated Soils Amended with Biochar: A Kinetic Perspective

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opencc-by-4.0Jun 2024View details →

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