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Ratios of microbial biomass carbon to total organic carbon in arable soils

土壤水分 单作 作物轮作 总有机碳 土壤碳 碳纤维 肥料 化学 环境化学 环境科学 生物量(生态学) 农学 耕地 数学 作物 土壤科学 生态学 生物 农业 复合数 算法
作者
Traute‐Heidi Anderson,K. H. Domsch
出处
期刊:Soil Biology & Biochemistry [Elsevier BV]
卷期号:21 (4): 471-479 被引量:1267
标识
DOI:10.1016/0038-0717(89)90117-x
摘要

The ratio of microbial biomass carbon (Cmic) to total organic carbon (Corg) was measured in soils from long-term agricultural experiments located in the temperate climatic zone of Central Europe. One hundred and thirty-four plots located in 26 experimental sites were analysed. This survey of Cmic-to-Corg ratios indicated no universal equilibrium constant. In contrast, a comparative regression analysis of permanent monoculture plots (M) with continuous crop rotation plots (R) showed both to be highly significantly different at the P = 0.001 level: the regression line of continuous crop rotations shows a steeper slope, suggesting that a higher concentration of microbial carbon is characteristic of the crop rotation. The regressions accounted for 87% (M) and 94% (R) of the variances in the data, respectively. Mean % Cmic in Corg amounted to 2.3 for permanent monocultures and to 2.9 for continuous crop rotations, respectively, of the simplest, the mineral fertilizer management. The differences in C-to-C ratios between the two management systems is thought to be caused by the difference in cropping management rather than by soil texture, i.e. clay content. These Cmic-to-Corg ratios rose to 4 or 3.7% in both plots under monoculture and plots under rotation, when the plots had received organic fertilizer the year prior to sampling. This rise in Cmic over Corg is seen as a transient rather than an absolute phenomenon and is believed to be due to the easily available carbon fraction of the introduced organic materia. Linearity of the Cmic-to-Corg relationship seems to be expressed only up to 2.5% Corg. Regressions of Cmic-to-Nt were as well highly significant (P =0.001) and in addition, the comparative regression analysis between M and R plots.
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