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Global variation of soil microbial carbon-use efficiency in relation to growth temperature and substrate supply

机译:土壤微生物碳利用效率随生长温度和基质供应的总体变化

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摘要

Soil microbial carbon-use efficiency (CUE), which is defined as the ratio of growth over C uptake, is commonly assumed as a constant or estimated by a temperature-dependent function in current microbial-explicit soil carbon (C) models. The temperature-dependent function (i.e., CUE = CUE0 + m × (T − 20)) simulates the dynamic CUE based on the specific CUE at a given reference temperature (i.e., CUE0) and a temperature response coefficient (i.e., m). Here, based on 780 observations from 98 sites, we showed a divergent spatial distribution of the soil microbial CUE (0.5 ± 0.25; mean ± SD) at the global scale. Then, the key parameters CUE0 and m in the above equation were estimated as 0.475 and −0.016, respectively, based on the observations with the Markov chain Monte Carlo technique. We also found a strong dependence of microbial CUE on the type of C substrate. The multiple regression analysis showed that glucose influences the variation of measured CUE associated with the environmental factors. Overall, this study confirms the global divergence of soil microbial CUE and calls for the incorporation of C substrate beside temperature in estimating the microbial CUE in different biomes.
机译:土壤微生物碳利用效率(CUE),其定义为生长与碳吸收的比率,通常被假定为一个常数,或者在当前的微生物利用土壤碳(C)模型中通过温度相关函数进行估算。温度相关函数(即CUE = CUE0 + m×(T-20))在给定参考温度(即CUE0)和温度响应系数(即m)的基础上,根据动态CUE模拟动态CUE。在此,根据来自98个站点的780个观测值,我们显示了全球范围内土壤微生物CUE的空间分布(0.5±±0.25;平均值±±SD)。然后,基于马尔可夫链蒙特卡洛技术的观察,上式中的关键参数CUE0和m分别估计为0.475和-0.016。我们还发现微生物CUE对C底物类型的强烈依赖性。多元回归分析表明,葡萄糖会影响与环境因素相关的CUE的变化。总体而言,这项研究证实了土壤微生物CUE的全球差异,并呼吁在温度估算不同生物群落中微生物CUE的同时引入C底物。

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