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微生物群落的碳利用效率:化学计量学、方法学和建模。

Carbon use efficiency of microbial communities: stoichiometry, methodology and modelling.

机构信息

Biology Department, University of New Mexico, Albuquerque, NM 87131, USA.

出版信息

Ecol Lett. 2013 Jul;16(7):930-9. doi: 10.1111/ele.12113. Epub 2013 Apr 30.

Abstract

Carbon use efficiency (CUE) is a fundamental parameter for ecological models based on the physiology of microorganisms. CUE determines energy and material flows to higher trophic levels, conversion of plant-produced carbon into microbial products and rates of ecosystem carbon storage. Thermodynamic calculations support a maximum CUE value of ~ 0.60 (CUE max). Kinetic and stoichiometric constraints on microbial growth suggest that CUE in multi-resource limited natural systems should approach ~ 0.3 (CUE max /2). However, the mean CUE values reported for aquatic and terrestrial ecosystems differ by twofold (~ 0.26 vs. ~ 0.55) because the methods used to estimate CUE in aquatic and terrestrial systems generally differ and soil estimates are less likely to capture the full maintenance costs of community metabolism given the difficulty of measurements in water-limited environments. Moreover, many simulation models lack adequate representation of energy spilling pathways and stoichiometric constraints on metabolism, which can also lead to overestimates of CUE. We recommend that broad-scale models use a CUE value of 0.30, unless there is evidence for lower values as a result of pervasive nutrient limitations. Ecosystem models operating at finer scales should consider resource composition, stoichiometric constraints and biomass composition, as well as environmental drivers, to predict the CUE of microbial communities.

摘要

碳利用效率 (CUE) 是基于微生物生理学的生态模型的基本参数。CUE 决定了能量和物质流向更高营养级,植物产生的碳转化为微生物产物的速度以及生态系统碳储存的速度。热力学计算支持最大 CUE 值约为 0.60 (CUE max)。微生物生长的动力学和化学计量学限制表明,在多资源有限的自然系统中,CUE 应接近 0.3 (CUE max /2)。然而,水生和陆地生态系统报告的平均 CUE 值相差两倍 (~ 0.26 与 ~ 0.55),因为用于估计水生和陆地系统 CUE 的方法通常不同,并且由于在水限制环境中测量的困难,土壤估计不太可能捕获社区代谢的全部维持成本。此外,许多模拟模型缺乏对能量溢出途径和代谢的化学计量限制的充分表示,这也可能导致 CUE 的高估。我们建议,在没有普遍存在的营养限制导致较低值的证据的情况下,广泛使用 CUE 值 0.30。在更精细的尺度上运行的生态系统模型应考虑资源组成、化学计量限制和生物量组成以及环境驱动因素,以预测微生物群落的 CUE。

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