Xu Xiaofeng, Hui Dafeng, King Anthony W, Song Xia, Thornton Peter E, Zhang Lihua
Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, 79902, USA.
Climate Change Science Institute and Environmental Science Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Sci Rep. 2015 Nov 27;5:17445. doi: 10.1038/srep17445.
How soil microbes assimilate carbon-C, nitrogen-N, phosphorus-P, and sulfur-S is fundamental for understanding nutrient cycling in terrestrial ecosystems. We compiled a global database of C, N, P, and S concentrations in soils and microbes and developed relationships between them by using a power function model. The C:N:P:S was estimated to be 287:17:1:0.8 for soils, and 42:6:1:0.4 for microbes. We found a convergence of the relationships between elements in soils and in soil microbial biomass across C, N, P, and S. The element concentrations in soil microbial biomass follow a homeostatic regulation curve with soil element concentrations across C, N, P and S, implying a unifying mechanism of microbial assimilating soil elements. This correlation explains the well-constrained C:N:P:S stoichiometry with a slightly larger variation in soils than in microbial biomass. Meanwhile, it is estimated that the minimum requirements of soil elements for soil microbes are 0.8 mmol C Kg(-1) dry soil, 0.1 mmol N Kg(-1) dry soil, 0.1 mmol P Kg(-1) dry soil, and 0.1 mmol S Kg(-1) dry soil, respectively. These findings provide a mathematical explanation of element imbalance in soils and soil microbial biomass, and offer insights for incorporating microbial contribution to nutrient cycling into Earth system models.
土壤微生物如何同化碳(C)、氮(N)、磷(P)和硫(S),对于理解陆地生态系统中的养分循环至关重要。我们汇编了一个关于土壤和微生物中C、N、P和S浓度的全球数据库,并使用幂函数模型建立了它们之间的关系。土壤的C:N:P:S估计为287:17:1:0.8,微生物的为42:6:1:0.4。我们发现,土壤和土壤微生物生物量中各元素之间的关系在C、N、P和S方面存在趋同。土壤微生物生物量中的元素浓度随土壤中C、N、P和S元素浓度呈现稳态调节曲线,这意味着微生物同化土壤元素存在统一机制。这种相关性解释了C:N:P:S化学计量比受到良好约束,土壤中的变化略大于微生物生物量中的变化。同时,据估计,土壤微生物对土壤元素的最低需求量分别为0.8 mmol C Kg(-1)干土、0.1 mmol N Kg(-1)干土、0.1 mmol P Kg(-1)干土和0.1 mmol S Kg(-1)干土。这些发现为土壤和土壤微生物生物量中的元素失衡提供了数学解释,并为将微生物对养分循环的贡献纳入地球系统模型提供了见解。