Unexpected control of soil carbon turnover by soil carbon concentration

被引:84
作者
Don, Axel [1 ,2 ]
Roedenbeck, Christian [2 ]
Gleixner, Gerd [2 ]
机构
[1] Thunen Inst Climate Smart Agr, D-38116 Braunschweig, Germany
[2] Max Planck Inst Biogeochem, D-07745 Jena, Germany
关键词
Soil carbon; Carbon isotopes; Michaelis-Menten; Soil microbiology; Carbon turnover; ORGANIC-MATTER; MICHAELIS-MENTEN; SPATIAL HETEROGENEITY; MICROBIAL BIOMASS; GRASSLAND SITES; STORAGE; STABILIZATION; DECOMPOSITION; RESPIRATION; STABILITY;
D O I
10.1007/s10311-013-0433-3
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Soils are a key component of the terrestrial carbon cycle as they contain the majority of terrestrial carbon. Soil microorganisms mainly control the accumulation and loss of this carbon. However, traditional concepts of soil carbon stabilisation failed so far to account for environmental and energetic constraints of microorganisms. Here, we demonstrate for the first time that these biological limitations might have the overall control on soil carbon stability. In a long-term experiment, we incubated C-13-labelled compost with natural soils at various soil carbon concentrations. Unexpectedly, we found that soil carbon turnover decreased with lower carbon concentration. We developed a conceptual model that explained these observations. In this model, two types of particles were submitted to random walk movement in the soil profile: soil organic matter substrate and microbial decomposers. Soil carbon turnover depended only on the likelihood of a decomposer particle to meet a substrate particle; in consequence, carbon turnover decreased with lower carbon concentration, like observed in the experiment. This conceptual model was able to simulate realistic depth profiles of soil carbon and soil carbon age. Our results, which are simply based on the application of a two-step kinetic, unmystify the stability of soil carbon and suggest that observations like high carbon ages in subsoil, stability of carbon in fallows and priming of soil carbon might be simply explained by the probability to be decomposed.
引用
收藏
页码:407 / 413
页数:7
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