Liao Min, Xie Xiao M
Department of Resources Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310029, China.
Ecotoxicol Environ Saf. 2007 Feb;66(2):217-23. doi: 10.1016/j.ecoenv.2005.12.013. Epub 2006 Feb 20.
The microbial biomass, basal respiration, and substrate utilization pattern in a copper mining wasteland of red soil area, southern China, were investigated, and indicated that soil microflora were obviously affected by heavy metals. Microbial biomass and basal respiration were negatively affected by comparatively high heavy metal levels. Two important microbial ecophysiological parameters, namely, the microbial biomass C (C(mic))/microbial biomass N (N(mic)) ratio and the metabolic quotient (qCO(2)) were significantly correlated to heavy metal stress. There was a significant decrease in the C(mic)/N(mic) ratio and an increase in the metabolic quotient with increasing metal concentration. Multivariate analysis of Biolog data for sole carbon source utilization pattern demonstrated that heavy metal pollution had a significant impact on microbial community structure and functional diversity. All the results showed that soil microbiological parameters could have great potential as sensitive, effective, and liable indicators of the stresses or perturbations in soils of mining ecosystems.
对中国南方红壤区某铜矿废弃地的微生物生物量、基础呼吸及底物利用模式进行了研究,结果表明土壤微生物区系明显受到重金属的影响。较高的重金属含量对微生物生物量和基础呼吸产生负面影响。两个重要的微生物生态生理参数,即微生物生物量碳(C(mic))/微生物生物量氮(N(mic))比值和代谢商(qCO₂)与重金属胁迫显著相关。随着金属浓度的增加,C(mic)/N(mic)比值显著降低,代谢商升高。对单一碳源利用模式的Biolog数据进行多变量分析表明,重金属污染对微生物群落结构和功能多样性有显著影响。所有结果表明,土壤微生物学参数作为矿业生态系统土壤中胁迫或扰动的敏感、有效和可靠指标具有巨大潜力。