State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China; University of Chinese Academy of Sciences, Beijing, 100049, China; National Fukang Station of Desert Ecosystem Ecology, Field Sciences Observation and Research Station, Chinese Academy of Sciences, Fukang, Xinjiang, 831505, China.
University of Castilla-La Mancha (UCLM), Technical School of Agricultural and Mountain Engineering (ETSIAM), Albacete, 02071, Spain.
J Environ Manage. 2021 Aug 15;292:112755. doi: 10.1016/j.jenvman.2021.112755. Epub 2021 May 13.
Soil microbial biomass is key to improving the prediction of soil organic carbon (SOC) dynamics by modeling. However, the driving mechanism of microbial biomass of different groups with soil depth is poorly understood across sites. Here, we compiled the biomass of different microbial groups (i.e., fungi, bacteria, gram-positive bacteria G, and gram-negative bacteria G) from the surface to a soil depth of 1 m from 71 soil profiles across three continents. We found that the biomass of microbial groups all decreased with soil depth but at different magnitudes, while the relative abundance of microbial groups, except G, was relatively stable along soil profiles. Soil fungal biomass had a shallower vertical distribution than bacteria, especially G, with 89% fungi and 76% G in the top 10 cm soils. In addition, a greater proportion of microbial biomass (71-89%) compared to SOC (64%) was in the top 10 cm soils, suggesting that microbes and SOC exhibited different vertical distributions. The vertical distributions of microbial biomass of different groups were significantly correlated with SOC and clay content but not with climate, and these distributions were different among land uses, highlighting the great influences of edaphic factors on vertical distributions of microbial biomass. The relationship between microbial biomass and soil depth provides a feasible way to estimate microbial biomass at different soil depths, which can serve as a benchmark to improve the prediction of SOC dynamics of entire soil profile at large scales.
土壤微生物生物量是通过建模来提高土壤有机碳(SOC)动态预测的关键。然而,不同群体的微生物生物量随土壤深度的变化机制在不同地点仍不清楚。在这里,我们从 71 个土壤剖面中汇编了从地表到 1 米深的不同微生物群体(即真菌、细菌、革兰氏阳性菌 G 和革兰氏阴性菌 G)的生物量。我们发现,所有微生物群体的生物量都随土壤深度而降低,但幅度不同,而微生物群体的相对丰度(除 G 外)沿土壤剖面相对稳定。土壤真菌生物量的垂直分布比细菌,特别是 G,要浅,前 10cm 的土壤中含有 89%的真菌和 76%的 G。此外,与 SOC(64%)相比,微生物生物量(71-89%)有更大的比例存在于前 10cm 的土壤中,这表明微生物和 SOC 表现出不同的垂直分布。不同群体的微生物生物量的垂直分布与 SOC 和粘粒含量显著相关,但与气候无关,且在不同土地利用方式之间存在差异,突出了土壤因子对微生物生物量垂直分布的巨大影响。微生物生物量与土壤深度的关系为估计不同土壤深度的微生物生物量提供了一种可行的方法,可作为提高整个土壤剖面 SOC 动态预测的基准。