Stoichiometry of microbial carbon use efficiency in soils

分解者 生态化学计量学 土壤水分 生态系统 缩放比例 环境化学 化学计量学 生态学 有机质 生产力 陆地生态系统 呼吸 化学 环境科学 土壤科学 生物量(生态学) 营养物 植物 数学 生物 几何学 有机化学 宏观经济学 经济
作者
Robert L. Sinsabaugh,Benjamin L. Turner,Jennifer M. Talbot,Bonnie G. Waring,Jennifer S. Powers,Cheryl R. Kuske,Daryl Moorhead,Jennifer J. Follstad Shah
出处
期刊:Ecological Monographs [Wiley]
卷期号:86 (2): 172-189 被引量:329
标识
DOI:10.1890/15-2110.1
摘要

Abstract The carbon use efficiency ( CUE ) of microbial communities partitions the flow of C from primary producers to the atmosphere, decomposer food webs, and soil C stores. CUE , usually defined as the ratio of growth to assimilation, is a critical parameter in ecosystem models, but is seldom measured directly in soils because of the methodological difficulty of measuring in situ rates of microbial growth and respiration. Alternatively, CUE can be estimated indirectly from the elemental stoichiometry of organic matter and microbial biomass, and the ratios of C to nutrient‐acquiring ecoenzymatic activities. We used this approach to estimate and compare microbial CUE in >2000 soils from a broad range of ecosystems. Mean CUE based on C:N stoichiometry was 0.269 ± 0.110 ( mean ± SD ). A parallel calculation based on C:P stoichiometry yielded a mean CUE estimate of 0.252 ± 0.125. The mean values and frequency distributions were similar to those from aquatic ecosystems, also calculated from stoichiometric models, and to those calculated from direct measurements of bacterial and fungal growth and respiration. CUE was directly related to microbial biomass C with a scaling exponent of 0.304 (95% CI 0.237–0.371 ) and inversely related to microbial biomass P with a scaling exponent of −0.234 (95% CI −0.289 to −0.179 ). Relative to CUE , biomass specific turnover time increased with a scaling exponent of 0.509 (95% CI 0.467–0.551). CUE increased weakly with mean annual temperature. CUE declined with increasing soil pH reaching a minimum at pH 7.0, then increased again as soil pH approached 9.0, a pattern consistent with pH trends in the ratio of fungal : bacteria abundance and growth. Structural equation models that related geographic variables to CUE component variables showed the strongest connections for paths linking latitude and pH to β‐glucosidase activity and soil C:N:P ratios. The integration of stoichiometric and metabolic models provides a quantitative description of the functional organization of soil microbial communities that can improve the representation of CUE in microbial process and ecosystem simulation models.
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