Transfer functions for estimating phytoavailable Cd and Pb in metal contaminated paddy and upland soils: Implications for phytoavailability based land management

Lim, Ga-Hee; Seo, Byoung-Hwan; Kim, Kye-Hoon; Kim, Hyuck-Soo; Kim, Won-Il; Owens, Gary; Kim, Kwon-Rae

doi:10.1016/j.geoderma.2015.11.021

Cited by 11 publications

(7 citation statements)

References 42 publications

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“…Another study confi rmed that pH control was the management option most likely to reduce phytoavailable Cd and Pb, since organic matter content and oxalate extractable sesquioxides only partially infl uenced HM retardation (K d ) [147].…”

Section: Strategies For Reducing Bioavailability Of Metal(loid)s In Cmentioning

confidence: 98%

Metal (Loid)s in Farmland Soils and Strategies to Reduce Bioavailability

Fayiga¹,

Nwoke²

2017

Open J Environ Biol

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High concentrations of heavy metal (loid)s (HMs) in farmland soils reduces crop yield and contaminates the food chain. Exposure to HMs in the diet results in several adverse health effects such as cancer, reproductive health problems and cardiovascular diseases. Understanding the origin and fractionation of these toxic substances will provide direction for reducing their bioavailability in contaminated farmland soils. HMs are added to farmland soils through activities such as irrigation, organic and inorganic fertilization, pest control, and mining. Weathering of parent material and atmospheric deposition can also increase the levels of HMs in the soil. Fractionation of HM contaminated soils provides information on availability of HMs such as Pb, Cd, As, Cr and Cu to soil biota and plants. Several studies have reported that Pb is mostly associated with Fe and manganese oxides (reducible fraction) while Cd is mostly associated with the most mobile fraction (exchangeable fraction). The application of organic and inorganic soil amendments such as vermiculite, zeolite, composts and crop residue to contaminated farmland soils converts HMs from the plant available fractions to the less mobile fractions. HM resistant microbes can change HMs to a less mobile fraction or less mobile oxidation state. The combination of HM resistant microbes, HM tolerant plants, and soil amendments can be used to reduce mobility of HMs in contaminated farmlands. Capsule:The mobility of heavy metal (loid)s in polluted farmland soils depends strongly on its association with soil components.

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Section: Strategies For Reducing Bioavailability Of Metal(loid)s In Cmentioning

confidence: 98%

Metal (Loid)s in Farmland Soils and Strategies to Reduce Bioavailability

Fayiga¹,

Nwoke²

2017

Open J Environ Biol

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“…Similarly, prediction of plant metal uptake should also be performed with piecewise equations at different intervals of soil properties. This is supported by the study of Lim et al (2016) in which optimum predictions were obtained when two separate transfer functions were derived using datasets with large and small concentrations of Cd to estimate the soil bioavailable Cd pool.…”

Section: Estimation and Prediction Of Zn Bioavailabilitymentioning

confidence: 85%

Comparing chemical extraction and a piecewise function with diffusive gradients in thin films for accurate estimation of soil zinc bioavailability to Sedum plumbizincicola

Zhou

et al. 2019

European J Soil Science

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Summary Accurate evaluation of metal bioavailability to hyperaccumulators is necessary for prediction of metal uptake and estimation of phytoextraction potential. Sedum plumbizincicola X.H. Guo et S.B. Zhou ex L.H. Wu (Crassulaceae), a hyperaccumulator of cadmium (Cd) and zinc (Zn), was grown in a pot experiment in 108 agricultural soils representing a wide range of typical Chinese soil types. The contribution of soil properties to Zn uptake was assessed quantitatively. Soil total Zn, soluble Zn, CaCl2‐extractable Zn and (DGT)‐extractable Zn concentrations (Zntotal, Znsoln, ZnCaCl2 and ZnDGT, respectively) were compared to predict shoot Zn concentration (Znshoot) using a piecewise equation. This showed a logarithmic increase with increasing Zntotal from 100–1000 mg kg−1 but plateaued outside this range. The optimum soil pH for Zn removal was ~ 5.5 and further acidification was unnecessary because Znshoot increased significantly with a decrease in pH from 7.5 to 5.5 and rarely changed at pH < 5.5. Sedum plumbizincicola grown in loamy or clay loam soils had larger Znshoot than in sandy or clay soils. The ZnCaCl2 was superior to other methods in estimating Zn bioavailability across all the data. At pH < 5.5, ZnCaCl2 showed much stronger correlation with Znshoot than Zntotal, Znsoln or ZnDGT. Piecewise equations (single linear regression equations at different intervals of soil properties) versus Zntotal and ZnCaCl2 at different pH ranges considerably increased the accuracy of prediction of Znshoot compared with the global equations derived from all data. Estimation of the potential of S. plumbizincicola for Zn phytoextraction in the field indicated that it is feasible to decontaminate acid‐polluted soils with Zntotal ≤ 500 mg kg−1 with S. plumbizincicola. Highlights Zn bioavailability to hyperaccumulators needs to be estimated over a wide range of soil types. Piecewise equations considerably improved the prediction of shoot Zn concentration. CaCl2 extraction was more suitable than DGT for the estimation of Zn bioavailability. Decontamination with S. plumbizincicola is feasible for acid soils with Zntotal ≤ 500 mg kg−1.

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“…The soil texture was determined using the micro-pipette method [ 11 ]. The pH and electrical conductivity of the samples were determined for a 1:5 soil:water ( w / v ) suspension using a pH meter and conductivity meter (MP220, Mettler Toledo, Columbus, OH, USA) [ 4 ]. The cation exchange capacity was analyzed using the 1 M CH 3 COOH extraction method [ 2 ].…”

Section: Methodsmentioning

confidence: 99%

“…Next-generation sequencing (NGS)-based molecular techniques have been used to study soil microbial diversity and soil microorganisms useful for producing high-quality plants (agricultural soil environment and agriculture-related microorganisms). These studies reported the bacterial and fungal diversity according to the specific treatment of field soil; microbial diversity according to soil depth on a poplar farm; association between soil depth and native and exotic plant species; and comparison of the soil microbiota in natural and re-seeded grassland [ 2 , 3 , 4 , 5 ]. The results suggested that the soil depth is a major factor affecting the networking between the microbiota structure and abiotic factors, including interactions with fungi at approximately 1 m below the soil surface and microbial diversity at depths of 0–20 and ≥21 cm.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Major Bacteria and Diversity of Surface Soil to Discover Biomarkers Related to Soil Health

Park

Yang

Kim

et al. 2022

Toxics

Self Cite

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The discovery of biomarkers for assessing soil health requires the exploration of organisms that can explain the core functions of soil and identification of species with major roles in these functions. However, identifying specific keystone markers within the soil microbiota is challenging. Next-generation sequencing (NGS)-based molecular-biological methods have revealed information on soil biodiversity; however, whether this biodiversity is related to soil health remains unclear. In this study, we performed NGS on grassland surface soil to compare the prokaryotic and eukaryotic genetic diversity to determine the chemical soil quality and examined markers associated with soil health. Microorganisms associated with the nitrogen cycle, bioremediation, plant pathogenicity, antibiotic production, and material degradation showed potential for use as markers. To propose a framework for soil health assessment, we not only used traditional indicators, such as chemical and physical measures, but also assessed metagenomics data of soil by land use to identify the major factors influencing the microbial structure in soil. Moreover, major keystone species were identified. Furthermore, the microbial genetic diversity of generally healthy surface soil, such as forests, farmland, and parks, was determined. These findings provide basic data for exploring soil health-related biomarkers.

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Transfer functions for estimating phytoavailable Cd and Pb in metal contaminated paddy and upland soils: Implications for phytoavailability based land management

Cited by 11 publications

References 42 publications

Metal (Loid)s in Farmland Soils and Strategies to Reduce Bioavailability

Metal (Loid)s in Farmland Soils and Strategies to Reduce Bioavailability

Comparing chemical extraction and a piecewise function with diffusive gradients in thin films for accurate estimation of soil zinc bioavailability to Sedum plumbizincicola

Analysis of Major Bacteria and Diversity of Surface Soil to Discover Biomarkers Related to Soil Health

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