CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China.
University of Chinese Academy of Sciences, Beijing, China.
Glob Chang Biol. 2021 May;27(10):2039-2048. doi: 10.1111/gcb.15550. Epub 2021 Feb 23.
Optimal methods for incorporating soil microbial mechanisms of carbon (C) cycling into Earth system models (ESMs) are still under debate. Specifically, whether soil microbial physiology parameters and residual materials are important to soil organic C (SOC) content is still unclear. Here, we explored the effects of biotic and abiotic factors on SOC content based on a survey of soils from 16 locations along a ~4000 km forest transect in eastern China, spanning a wide range of climate, soil conditions, and microbial communities. We found that SOC was highly correlated with soil microbial biomass C (MBC) and amino sugar (AS) concentration, an index of microbial necromass. Microbial C use efficiency (CUE) was significantly related to the variations in SOC along this national-scale transect. Furthermore, the effect of climatic and edaphic factors on SOC was mainly via their regulation on microbial physiological properties (CUE and MBC). We also found that regression models on explanation of SOC variations with microbial physiological parameters and AS performed better than the models without them. Our results provide the empirical linkages among climate, microbial characteristics, and SOC content at large scale and confirm the necessity of incorporating microbial biomass and necromass pools in ESMs under global change scenarios.
将土壤微生物碳(C)循环机制纳入地球系统模型(ESMs)的最佳方法仍存在争议。具体来说,土壤微生物生理学参数和残留物质是否对土壤有机碳(SOC)含量很重要仍不清楚。在这里,我们基于中国东部一条约 4000 公里长的森林样带 16 个地点的土壤调查,探讨了生物和非生物因素对 SOC 含量的影响,该样带涵盖了广泛的气候、土壤条件和微生物群落。我们发现 SOC 与土壤微生物生物量 C(MBC)和氨基糖(AS)浓度高度相关,AS 是微生物残体的一个指标。微生物 C 使用效率(CUE)与沿这条全国性样带的 SOC 变化显著相关。此外,气候和土壤因素对 SOC 的影响主要是通过它们对微生物生理特性(CUE 和 MBC)的调节。我们还发现,解释 SOC 变化与微生物生理参数和 AS 的回归模型比没有这些参数的模型表现更好。我们的研究结果提供了在大尺度上气候、微生物特征和 SOC 含量之间的经验联系,并证实了在全球变化情景下,需要在 ESMs 中纳入微生物生物量和残体库。