Heavy metal availability and impact on activity of soil microorganisms along aCu/Zn contamination gradient |
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Authors: | WANG Yuan-peng SHI Ji-yan LIN Qi CHEN Xin-cai CHEN Ying-xu |
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Affiliation: | 1. Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China 2. Department of Environmental Science and Technology, Zhejiang University, Hangzhou 310029, China |
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Abstract: | All the regulations that define a maximum concentration of metals in the receiving soil are based on total soil metal concentration. However, the potential toxicity of a heavy metal in the soil depends on its speciation and availability. We studied the effects of heavy metal speciation and availability on soil microorganism activities along a Cu/Zn contamination gradient. Microbial biomass and enzyme activity of soil contaminated with both Cu and Zn were investigated. The results showed that microbial biomass was negatively affected by the elevated metal levels. The microbial biomass-C (Cmic)/organic C (Corg) ratio was closely correlated to heavy metal stress. There were negative correlations between soil microbial biomass, phosphatase activity and NH4NO3 extractable heavy metals. The soil microorganism activity could be predicted using empirical models with the availability of Cu and Zn. We observed that 72% of the variation in phosphatase activity could be explained by the NH4NO3-extractable and total heavy metal concentration. By considering different monitoring approaches and different viewpoints, this set of methods applied in this study seemed sensitive to site differences and contributed to a better understanding of the effects of heavy metals on the size and activity of microorganisms in soils. The data presented demonstrate the relationship between heavy metals availability and heavy metal toxicity to soil microorganism along a contamination gradient. |
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Keywords: | heavy metals availability speciation activity soil microorganism soil microorganisms microorganism activity impact metal availability gradient data relationship methods study sensitive site differences better understanding size soils monitoring different variation empirical |
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