Ecology and Biodiversity Institute, College of Life Science, Shandong University, Ji'nan, 250100, China.
Environ Monit Assess. 2010 Feb;161(1-4):495-508. doi: 10.1007/s10661-009-0763-6. Epub 2009 Feb 24.
In order to monitor changes in the concentrations of metals in the soil, different microbial indices such as BIOLOG, microbial carbon (C(mic)), basal respiration, and culturable microbe's most probable number were used. We compared these methods and wanted to discover which method was the best at measuring slight changes in the amounts of heavy metals. Factor analyses were applied to the BIOLOG data and metal concentrations so the combined effects of heavy metals on microbes could be analyzed via statistical data reduction and the distribution patterns of metal concentration could also be revealed. The results showed that the BIOLOG method could barely detect subtle characteristic changes in the soil samples, while the C(mic) method was more sensitive. Furthermore, different heavy metals did not have the same origin/source, and their effects on microbial indices should be analyzed separately. Significant positive correlations between C(mic) and metals were observed and suggested the limitation of using traditional microbial parameters as metal pollution indicators. Among all the soil characteristics in our study, pH seemed to be the most active abiotic factor that affected microorganisms.
为了监测土壤中金属浓度的变化，使用了不同的微生物指标，如 BIOLOG、微生物碳（C(mic)）、基础呼吸和可培养微生物的最大可能数。我们比较了这些方法，想要发现哪种方法最适合测量重金属含量的微小变化。对 BIOLOG 数据和金属浓度进行了因子分析，以便通过统计数据减少分析重金属对微生物的综合影响，并揭示金属浓度的分布模式。结果表明，BIOLOG 方法几乎无法检测土壤样品中的细微特征变化，而 C(mic)方法则更敏感。此外，不同的重金属没有相同的来源，应该分别分析它们对微生物指标的影响。观察到 C(mic)与金属之间存在显著的正相关关系，表明传统的微生物参数作为金属污染指标的局限性。在我们的研究中，所有土壤特性中，pH 似乎是影响微生物的最活跃的非生物因素。
