Lithium in Soils and Plants of Western Transbaikalia

Kashin, V. K.

doi:10.1134/s1064229319040094

Cited by 13 publications

(6 citation statements)

References 14 publications

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“…The physiological role of barium in plants is still poorly understood. Barium belongs to the group of elements with a low absorption intensity: its KBP in most cases is < 1.0 [11].…”

Section: Discussionmentioning

confidence: 99%

Concentrations of chemical elements in the leaves of Populus suaveolens Fischer and Betula pendula Roth at the facilities of the gold deposit of Eastern Transbaikalia

Makarov

Mikheeva

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The concentration of 50 chemical elements in the leaves of Populus suaveolens Fischer and Betula pendula Roth growing in tailings dumps and dumps of gold deposits in Eastern Transbaikalia (Baley) was studied. It was found that the highest concentration of most elements was in the leaves of plants growing at the ZIF-2 tailings dump, and the lowest was on the sands of the thorium tailings dump and sand–pebble soil at the dredge gold mining site. Populus suaveolens differed from Betula pendula by a higher concentration of most chemical elements. A feature of the elemental composition of birch was a significant concentration of Mn and Ba in relation to poplar. The concentration of a number of chemical elements significantly exceeded the clark of terrestrial plants, as well as the maximum permissible levels of concentration of elements established for feed and medicinal plant raw materials.

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“…The physiological role of barium in plants is still poorly understood. Barium belongs to the group of elements with a low absorption intensity: its KBP in most cases is < 1.0 [11].…”

Section: Discussionmentioning

confidence: 99%

Concentrations of chemical elements in the leaves of Populus suaveolens Fischer and Betula pendula Roth at the facilities of the gold deposit of Eastern Transbaikalia

Makarov

Mikheeva

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Despite other studies (Robinson et al, 2018;Kashin, 2019) reporting strong correlations between Li and Mg, and other elements elsewhere, including Al, B, Fe, K, Mn and Zn, the NGSA data only show strong correlations between Li and Al (Pearson's correlation coefficient r = 0.74), Ga (r = 0.69), Cs (r = 0.68), and Rb (r = 0.66) for TOS, and slightly lower correlation for BOS: Al ( r= 0.69), Ga (r = 0.64), Cs (r = 0.62), Rb (r = 0.61). Correlations between Li with K and Mg were only moderate for both TOS (r = 0.48 and 0.43) and BOS (r = 0.46 and 0.33).…”

Section: Correlation Between LI With Other Measured Soil Propertiesmentioning

confidence: 92%

Digital soil mapping of lithium in Australia

Minasny

McBratney

et al. 2023

Preprint

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Abstract. With a higher demand for lithium (Li), a better understanding of its concentration and spatial distribution is important to delineate potential anomalous areas. This study uses a digital soil mapping framework to combine data from recent geochemical surveys and environmental covariates to predict and map Li content across the 7.6 million km2 area of Australia. Soil samples were collected by the National Geochemical Survey of Australia at a total of 1315 sites, with both top (0–10 cm depth) and bottom (on average 60–80 cm depth) catchment outlet sediments sampled. We developed 50 bootstrap models using a Cubist regression tree algorithm for both depths. The spatial prediction models were validated on an independent Northern Australia Geochemical Survey dataset, showing a good prediction with a root mean square error of 3.82 mg kg-1 (which is 50.9 % of the inter-quartile range) for the top depth. The model for the bottom depth has yet to be validated. The variables of importance for the models indicated that the first three Landsat 30+ Barest Earth bands (blue, green, red) and gamma radiometric dose have a strong impact on Li prediction. The bootstrapped models were then used to generate digital soil Li prediction maps for both depths, which could select and delineate areas with anomalously high Li concentrations in the regolith. The map shows high Li concentration around existing mines and other potentially anomalous Li areas. This is the first study that produces soil Li using remote sensing data at a high resolution over a continent. The same mapping principles can potentially be applied to other elements. The Li geochemical data for calibration and validation are available at: http://dx.doi.org/10.11636/Record.2011.020 and http://dx.doi.org/10.11636/Record.2019.002 respectively. The covariates data used for this study was sourced from Terrestrial Ecosystem Research Network (TERN) infrastructure, which is enabled by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) https://esoil.io/TERNLandscapes/Public/Products/TERN/Covariates/Mosaics/90m/ (TERN, 2019).

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“…This was confirmed by correlation analyses, where we found positive correlations between the reducible and oxidizable Li fractions and the SOC, similarly as with pH/KCl. Motowicka-Terelek et al 37 also found correlations between soil Li content and SOC, but there are also authors who did not 36,38 . From the physical properties, the fine granulometric fraction (silt) showed a positive correlation with www.nature.com/scientificreports/ the residual fraction and the total Li content.…”

Section: F-value P-value F-value P-valuementioning

confidence: 97%

Critically raw materials as potential emerging environmental contaminants, their distribution patterns, risks and behaviour in floodplain soils contaminated by heavy metals

Kanianska

Drimal

Varga

et al. 2023

Sci Rep

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The expanding demand for new critical raw materials can lead to their increased release to the environment in the form of emerging environmental contaminants (EECs). However, there has never been a comprehensive study that takes into account the total EEC content, the content of various EEC fractions, their behaviour in floodplain soils, and potential ecological and human health risks. The occurrence, fractions, and influencing factors of the seven EECs (Li, Be, Sr, Ba, V, B, Se) originating from historical mining in floodplain soils of various ecosystems (arable lands, grasslands, riparian zones, contaminated sites) were investigated. Based on the evaluation of the overall levels of EECs (potentially toxic elements) in comparison to the soil guideline values set by European legislation for Be, Ba, V, B, and Se, it was found that only Be did not exceed the recommended limits. Among the elements analyzed, Li had the highest average contamination factor (CF) of 5.8, followed by Ba with 1.5 and B with 1.4. Particularly concerning was the discovery of a potential serious health risk associated with Li exposure for children, as indicated by hazard quotients ranging from 0.128 to 1.478. With the exception of Be and Se, the partitioning of the EECs into the different fractions revealed that the EECs are primarily bound with the residual fraction. Be (13.8%) had the highest percentage of exchangeable fraction as the most bioavailable in the first soil layer, followed by Sr (10.9%), Se (10.2%), Ba (10.0%), and B (2.9%). The most frequently observed correlations were between EEC fractions and pH/KCl, followed by soil organic carbon and manganese hydrous oxides. Variance analyses confirmed the impact of different ecosystems on EEC total content and fractions.

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Lithium in Soils and Plants of Western Transbaikalia

Cited by 13 publications

References 14 publications

Concentrations of chemical elements in the leaves of Populus suaveolens Fischer and Betula pendula Roth at the facilities of the gold deposit of Eastern Transbaikalia

Concentrations of chemical elements in the leaves of Populus suaveolens Fischer and Betula pendula Roth at the facilities of the gold deposit of Eastern Transbaikalia

Digital soil mapping of lithium in Australia

Critically raw materials as potential emerging environmental contaminants, their distribution patterns, risks and behaviour in floodplain soils contaminated by heavy metals

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