Is the computed speciation of copper in a wide range of Chinese soils reliable?

Li, Bo; Ma, Yibing; Yang, Junxing

doi:10.1080/09542299.2017.1404437

Cited by 5 publications

(6 citation statements)

References 47 publications

(91 reference statements)

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“…The oldest equation specifically applied to Cu was provided by Lexmond ( 1980 ) (see Eq. 11 in Table 1 ) to estimate bio-available Cu (expressed as − log(Cu) = pCu), and the last equation we found was designed by Li et al ( 2017a , b ) (see Eq. 10 in Table 1 ) to estimate bio-available Cu.…”

Section: Resultsmentioning

confidence: 99%

“…L −1 ) 0.69 0.5 0.73 0.36 86 56–4441 12.0–62 6.2–7.8 9b Log (Cu solution ) (µg. L −1 ) − 1.01 0.75 0.95 1.23 0.70 86 56–4441 12.0–62 6.2–7.8 Li et al ( 2017a , b ) 10a Log (Cu solution ) (µmol. L −1 ) − 2.976 0.515 1.23 0.63 34 a Data expressed in percentage of C b Data expressed in mg.kg −1 soil −1 of Cu …”

Section: Resultsmentioning

confidence: 99%

“…L −1 ) 0.48 0.81 − 1 − 0.89 (%) 0.83 216 0.6–326 2–97.8 3.3–8.3 Mondaca et al ( 2015 ) 9c pCu (µg. L −1 ) 5.54 − 0.74 0.67 0.75(%) 0.58 86 56–4441 12.0–62 Li et al ( 2017a , b ) 10b pCu (mol. L −1 ) − 4.303 − 1.639 1.171 0.65 34 Li et al ( 2017a , b ) 10c pCu (mol.…”

Section: Resultsmentioning

confidence: 99%

“…L −1 ) 5.54 − 0.74 0.67 0.75(%) 0.58 86 56–4441 12.0–62 Li et al ( 2017a , b ) 10b pCu (mol. L −1 ) − 4.303 − 1.639 1.171 0.65 34 Li et al ( 2017a , b ) 10c pCu (mol. L −1 ) − 0.783 − 1.6 log(Cu solution, µg.…”

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Mapping risks associated with soil copper contamination using availability and bio-availability proxies at the European scale

Sereni

Guenet

Lamy

2022

Environ Sci Pollut Res

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Soil contamination by trace elements like copper (Cu) can affect soil functioning. Environmental policies with guidelines and soil survey measurements still refer to the total content of Cu in soils. However, Cu content in soil solution or free Cu content have been shown to be better proxies of risks of Cu mobility or (bio-)availability for soil organisms. Several empirical equations have been defined at the local scale to predict the amount of Cu in soil solution based on both total soil Cu content and main soil parameters involved in the soil/solution partitioning. Nevertheless, despite the relevance for risk assessment, these equations are not applied at a large spatial scale due to difficulties to perform changes from local to regional. To progress in this challenge, we collected several empirical equations from literature and selected those allowing estimation of the amount of Cu in solution, used as a proxy of available Cu, from the knowledge of both total soil Cu content and soil parameters. We did the same for the estimation of free Cu in solution, used as a proxy of bio-available Cu. These equations were used to provide European maps of (bio-)available Cu based on the one of total soil Cu over Europe. Results allowed comparing the maps of available and bio-available Cu at the European scale. This was done with respective median values of each form of Cu to identify specific areas of risks linked to these two proxies. Higher discrepancies were highlighted between the map of bio-available Cu and the map of soil total Cu compared to the Cu available map. Such results can be used to assess environmental-related issues for land use planning.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Mapping risks associated with soil copper contamination using availability and bio-availability proxies at the European scale

Sereni

Guenet

Lamy

2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…Lofts et al, 2013b;Tipping et al, 2003). Yet research focused on DOM binding properties in the past decade have shown that the binding properties of DOM to trace elements can vary considerably in soil and freshwater (Chen et al, 2018;Li et al, 2017;Weng et al, 2002). This has firstly been attributed to the substantial proportion of DOM corresponding to non-humic substances with binding properties that differ from that of benchmark fulvic acid (Baken et al, 2011;Groenenberg et al, 2010;Ren et al, 2015), and secondly to the variability in DOM properties such as its aromaticity, which seems to partly account for DOM binding properties (Amery et al, 2008;De Schamphelaere and Janssen, 2004).…”

Section: Variability In Dissolved Organic Matter Binding Propertiesmentioning

confidence: 99%

Trace contaminants in the environmental assessment of organic waste recycling in agriculture: Gaps between methods and knowledge

Avadí

Benoît

Bravin

et al. 2022

Advances in Agronomy

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The solid-solution distribution of copper added to soils: influencing factors and models

Zhang

Wei

et al. 2018

J Soils Sediments

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Is the computed speciation of copper in a wide range of Chinese soils reliable?

Cited by 5 publications

References 47 publications

Mapping risks associated with soil copper contamination using availability and bio-availability proxies at the European scale

Mapping risks associated with soil copper contamination using availability and bio-availability proxies at the European scale

Trace contaminants in the environmental assessment of organic waste recycling in agriculture: Gaps between methods and knowledge

The solid-solution distribution of copper added to soils: influencing factors and models

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