| 重金属铜、锌、镉、铅复合污染对土壤环境微生物群落的影响 |
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| 引用本文： | 王秀丽,徐建民,姚槐应,谢正苗.重金属铜、锌、镉、铅复合污染对土壤环境微生物群落的影响[J].环境科学学报,2003,23(1):22-27. |
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| 作者姓名： | 王秀丽 徐建民 姚槐应 谢正苗 |
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| 作者单位： | 浙江大学土水资源与环境研究所,杭州,310029 |
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| 基金项目： | 国家重点基础研究发展规划项目 (G19990 1180 9)，高等学校骨干教师资助计划资助 |
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| 摘 要： | 以铜锌冶炼厂附近的水稻土为例 ,研究了重金属复合污染对土壤微生物群落的影响 .结果表明 ,有效铜、锌、镉、铅与微生物生物量碳、微生物生物量氮、微生物商、微生物生物量氮 全氮均呈显著负相关 .重金属污染均能降低细菌、真菌和放线菌的数量 .用BIOLOG生态盘研究了重金属污染对微生物群落结构的影响 ,发现重金属污染明显影响了微生物群落结构 ,反映在典型变量 1(CV1)与重金属元素含量呈极显著正相关 ,因此认为典型变量 1是反映重金属污染程度的有效指标 .经逐步回归分析发现 ,有效铜是影响典型变量 1最主要的因素 .
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| 关 键 词： | 重金属 微生物群落 土壤微生物生物量 |
| 文章编号： | 0253-2468(2003)-01-0022-06 |
| 收稿时间： | 2002/1/24 0:00:00 |
| 修稿时间： | 2002年1月24日 |
Effects of Cu, Zn, Cd and Pb compound contamination on soil microbial community |
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| WANG Xiuli,XU Jianmin,YAO Huaiying and XIE Zhengmiao.Effects of Cu, Zn, Cd and Pb compound contamination on soil microbial community[J].Acta Scientiae Circumstantiae,2003,23(1):22-27. |
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| Authors: | WANG Xiuli XU Jianmin YAO Huaiying and XIE Zhengmiao |
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| Institution: | Institute of Soil and Water Resources and Environmental Science, Zhejiang University, Hangzhou 310029, China,Institute of Soil and Water Resources and Environmental Science, Zhejiang University, Hangzhou 310029, China,Institute of Soil and Water Resources and Environmental Science, Zhejiang University, Hangzhou 310029, China and Institute of Soil and Water Resources and Environmental Science, Zhejiang University, Hangzhou 310029, China |
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| Abstract: | Paddy soils around a smelter were used to assess the effects of heavy metal compound contamination on soil microbial community. The significantly negative correlation between the availability of Cu, Zn, Cd and Pb and microbial biomass carbon(Cmic), microbial biomass nitrogen(Nmic), microbial quotient, and ratio of Nmic to total nitrogen was found. The number of bacteria, fungi and actinomycetes decreased with the increase of pollution degree. Multivariate analysis of sole carbon source utilization pattern indicated that heavy metal pollution had a significant impact on microbial community structure based on the significant correlation between CV1(canonical variate1) and heavy metals. Therefore, CV1 is regarded to be a potentially good index of soil heavy metal pollution. Stepwise regression analysis indicated that available Cu is the most significant factor for controlling CV1. |
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| Keywords: | heavy metal microbial community soil microbial biomass |
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