Microbial carbon use efficiency promotes global soil carbon storage

Soils store more carbon than other terrestrial ecosystems(1,2). How soil organic carbon (SOC) forms and persists remains uncertain(1,3), which makes it challenging to understand how it will respond to climatic change(3,4). It has been suggested that soil microorganisms play an important role in SOC formation, preservation and loss(5-7). Although microorganisms affect the accumulation and loss of soil organic matter through many pathways(4,6,8-11), microbial carbon use efficiency (CUE) is an integrative metric that can capture the balance of these processes(12,13). Although CUE has the potential to act as a predictor of variation in SOC storage, the role of CUE in SOC persistence remains unresolved(7,14,15). Here we examine the relationship between CUE and the preservation of SOC, and interactions with climate, vegetation and edaphic properties, using a combination of global-scale datasets, a microbial-process explicit model, data assimilation, deep learning and meta-analysis. We find that CUE is at least four times as important as other evaluated factors, such as carbon input, decomposition or vertical transport, in determining SOC storage and its spatial variation across the globe. In addition, CUE shows a positive correlation with SOC content. Our findings point to microbial CUE as a major determinant of global SOC storage. Understanding the microbial processes underlying CUE and their environmental dependence may help the prediction of SOC feedback to a changing climate.

Automated summary

Soils store more carbon than other terrestrial ecosystems, but how soil organic carbon (SOC) forms and persists remains uncertain, making it challenging to predict its response to climate change. This study investigates the role of microbial carbon use efficiency (CUE) in SOC persistence and finds that it is at least four times more important than other factors in determining SOC storage. Understanding the environmental dependence of microbial processes underlying CUE may help predict SOC feedback to a changing climate.