Nunan, Naoise
- Department of Soil and Environment, Swedish University of Agricultural Sciences
- Sorbonne Université
Review article2024Peer reviewedOpen access
He, Xianjin; Abs, Elsa; Allison, Steven D.; Tao, Feng; Huang, Yuanyuan; Manzoni, Stefano; Abramoff, Rose; Bruni, Elisa; Bowring, Simon P. K.; Chakrawal, Arjun; Ciais, Philippe; Elsgaard, Lars; Friedlingstein, Pierre; Georgiou, Katerina; Hugelius, Gustaf; Holm, Lasse Busk; Li, Wei; Luo, Yiqi; Marmasse, Gaelle; Nunan, Naoise;
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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.Microbial carbon use efficiency (CUE) is crucial for carbon storage, but its variability is difficult to capture due to inconsistent measurements and complex interactions. This perspective proposes integrating diverse data and models to improve CUE in carbon cycle models
Nature Communications
2024, volume: 15, number: 1, article number: 8010
Publisher: NATURE PORTFOLIO
Soil Science
https://res.slu.se/id/publ/133149