Hofman Jakub, Dusek Ladislav, Klánová Jana, Bezchlebová Jitka, Holoubek Ivan
Faculty of Science, Research Centre for Environmental Chemistry and Ecotoxicology, Centre of Excellence, Masaryk University of Brno, Kamenice 126/3, 62500 Brno, Czech Republic.
Environ Int. 2004 Mar;30(1):19-30. doi: 10.1016/S0160-4120(03)00142-9.
The microbial biomass (Cbio), respiration (basal respiration (BR) and potential respiration (PR)), and derived indices for 520 independent soil samples of 117 different soils from the Czech Republic were statistically analysed. The broad range of soil samples allowed the stepwise breakdown of the database into six reasonable categories of soil: arable soils, loamy grassland soils, sandy grassland soils with weak organic matter content, sandy grassland soils with moderate organic matter content, forest soils with moderate organic matter content, and forest organic soils with rich organic matter content. Because soil microbiology lacks benchmarking values, the ranges of the microbial characteristics for these categories were stated and are presented here. The separation into soil groups narrowed the ranges enough to be useful for comparative purposes. The groups displayed significant differences in basal microbial parameters. The lowest microbial biomass was found in arable soils and grassland sandy soils with weak organic matter content. The highest microbial biomass was shown by loamy grassland soils and organic forest soils. Respiration displayed similar results to the microbial biomass. The derived indices revealed less significant differences confirming their inner-standard nature. The relationships between the soil contamination and microbial parameters were not explored because of the confounding effect of soil organic matter. However, it was not shown by the category of grassland sandy soils with weak organic matter content suggesting they could be especially suitable for the biomonitoring of harmful effects of chemicals on soil microorganisms.
对来自捷克共和国的117种不同土壤的520个独立土壤样本的微生物生物量(Cbio)、呼吸作用(基础呼吸(BR)和潜在呼吸(PR))以及衍生指数进行了统计分析。广泛的土壤样本使数据库能够逐步细分为六类合理的土壤:耕地土壤、壤质草地土壤、有机质含量低的沙质草地土壤、有机质含量中等的沙质草地土壤、有机质含量中等的森林土壤以及有机质含量丰富的森林有机土壤。由于土壤微生物学缺乏基准值,因此列出并在此呈现了这些类别微生物特征的范围。将土壤分为不同组后缩小了范围,足以用于比较目的。这些组在基础微生物参数方面表现出显著差异。微生物生物量最低的是耕地土壤和有机质含量低的草地沙质土壤。微生物生物量最高的是壤质草地土壤和森林有机土壤。呼吸作用的结果与微生物生物量相似。衍生指数显示出不太显著的差异,证实了它们的内部标准性质。由于土壤有机质的混杂效应,未探讨土壤污染与微生物参数之间的关系。然而,有机质含量低的草地沙质土壤类别未显示出这种情况,这表明它们可能特别适合用于生物监测化学物质对土壤微生物的有害影响。