Laboratoire des Sciences du Climat et de l'Environnement, IPSL-LSCE, CEA/CNRS/UVSQ, Orme des Merisiers, Gif sur Yvette, France.
Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA, USA.
Nat Commun. 2024 Sep 13;15(1):8010. doi: 10.1038/s41467-024-52160-5.
Microbial carbon use efficiency (CUE) affects the fate and storage of carbon in terrestrial ecosystems, but its global importance remains uncertain. Accurately modeling and predicting CUE on a global scale is challenging due to inconsistencies in measurement techniques and the complex interactions of climatic, edaphic, and biological factors across scales. The link between microbial CUE and soil organic carbon relies on the stabilization of microbial necromass within soil aggregates or its association with minerals, necessitating an integration of microbial and stabilization processes in modeling approaches. In this perspective, we propose a comprehensive framework that integrates diverse data sources, ranging from genomic information to traditional soil carbon assessments, to refine carbon cycle models by incorporating variations in CUE, thereby enhancing our understanding of the microbial contribution to carbon cycling.
微生物碳利用效率(CUE)会影响陆地生态系统中碳的命运和储存,但它的全球重要性仍不确定。由于测量技术的不一致性以及气候、土壤和生物因素在不同尺度上的复杂相互作用,准确地在全球范围内模拟和预测 CUE 具有挑战性。微生物 CUE 与土壤有机碳之间的联系取决于微生物残体在土壤团聚体中的稳定,或者其与矿物质的关联,这需要在建模方法中整合微生物和稳定过程。在这篇观点文章中,我们提出了一个综合框架,该框架整合了从基因组信息到传统土壤碳评估等各种数据源,通过纳入 CUE 的变化来改进碳循环模型,从而增强我们对微生物在碳循环中贡献的理解。