文献类型： 外文期刊

作者： Hou Xian-Wen ¹ ; Wu Jian-Jun ¹ ; Xu Jian-Ming ¹ ; Tang Cai-Xian ¹ ;

作者机构： 1.Zhejiang Univ, Inst Soil & Water Resources & Environm Sci, Zhejiang Prov Key Lab Subtrop Soil & Plant Nutr, Hangzhou 310029, Zhejiang, Peoples R China

2.Chinese Acad Trop Agr Sci, Inst Environm & Plant Protect, Danzhou 571737, Peoples R China

3.La Trobe Univ, Dept Agr Sci, Bundoora, Vic 3086, Australia

关键词： carbon source;compound pollution;herbicide;microbial activity

期刊名称：PEDOSPHERE （ 影响因子：3.911； 五年影响因子：4.814 ）

ISSN： 1002-0160

年卷期： 2009 年 19 卷 5 期

页码：

收录情况： SCI

摘要： Little information is available on the interactive effects of inorganic and organic pollutants on carbon utilization by soil microorganisms. This study examined the effects of two common soil pollutants, lead (Pb) and bensulfuron-methyl herbicide (BSM), on decomposition of an adscititious carbon source (C-14-glucose). Two contrasting paddy soils, a silty clay soil and a clay learn soil, were incubated with different concentrations and combinations of pollutants for 60 days. Orthogonal rotatable central composite design was adopted to design the combinations of the pollutant concentrations so that rate response curves could be derived. Rapid decomposition of C-14-glucose occurred in the first three days for both soils where no Pb or BSM was added (control). Overall, 63%-64% of the added C-14-glucose was decomposed in the control over the 60-day incubation. The addition of Pb or BSM significantly decreased the decomposition of C-14-glucose during the first week but increased the decomposition thereafter; as a result;, the percentages of C-14-glucose decomposed (57%-77%) over the 60-day period were similar to or higher than those of the control. Application of the pollutants in combination did not further inhibit decomposition compared with the control. Overall, decomposition rates were lower in the silty clay soil than in the clay learn soil, which was related to the soil texture, cation exchange capacity, and pH. The relationship between the decomposition rates and the pollutants could be well characterized by the quadratic regression orthogonal rotation model. The initial antagonistic effects of the pollutants followed by the synergistic effects on microbial activity might result from changes of the concentrations of the pollutants.