State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
China National Botanical Garden, Beijing, China.
Glob Chang Biol. 2024 Aug;30(8):e17456. doi: 10.1111/gcb.17456.
The magnitude of terrestrial carbon (C)-climate feedback largely depends on the temperature sensitivity of soil organic matter (SOM) decomposition (Q). However, our understanding of determinants of Q for SOM fractions such as particulate and mineral-associated organic matter (POM and MAOM, respectively) is still inadequate. Particularly, it remains unclear whether microbial effects on Q are fraction-dependent, which induces large uncertainties in projecting soil C dynamics. Here, we conducted large-scale topsoil sampling on the Tibetan Plateau, in combination with SOM fractionation and 300-day laboratory incubation to assess SOM fraction-dependent linkages between Q and microbial properties. We found that compared with MAOM, POM had larger Q and greater microbial diversity, and also structured distinct microbial communities as well as their co-occurrence patterns. Furthermore, associations of Q with microbial properties differed between the two SOM fractions. Bacterial community composition and relative abundance of bacterial keystone taxa affected Q for POM and MAOM respectively, while bacterial alpha diversity showed opposite relationships with Q for POM and MAOM. These findings highlight the necessity of incorporating SOM fraction-dependent microbial properties and their linkages with Q into Earth system models to accurately predict terrestrial C-climate feedback.
陆地碳(C)-气候反馈的幅度在很大程度上取决于土壤有机质(SOM)分解的温度敏感性(Q)。然而,我们对 SOM 各组分(如颗粒有机物质和矿物结合有机物质,分别为 POM 和 MAOM)的 Q 的决定因素的理解仍然不足。特别是,微生物对 Q 的影响是否与组分有关,这在预测土壤 C 动态方面引起了很大的不确定性,这一点仍不清楚。在这里,我们在青藏高原进行了大规模的表层土壤采样,结合 SOM 分组和 300 天的实验室培养,以评估 Q 与微生物特性之间与 SOM 分组有关的联系。我们发现,与 MAOM 相比,POM 具有更大的 Q 和更高的微生物多样性,并且还构建了不同的微生物群落及其共存模式。此外,Q 与微生物特性之间的关联在这两种 SOM 分组之间存在差异。细菌群落组成和细菌关键类群的相对丰度分别影响 POM 和 MAOM 的 Q,而细菌α多样性与 POM 和 MAOM 的 Q 呈相反关系。这些发现强调了有必要将与 SOM 分组有关的微生物特性及其与 Q 的联系纳入地球系统模型中,以准确预测陆地 C-气候反馈。