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Emerging multiscale insights on microbial carbon use efficiency in the land carbon cycle

Author

Listed:
  • Xianjin He

    (Orme des Merisiers)

  • Elsa Abs

    (Orme des Merisiers)

  • Steven D. Allison

    (University of California Irvine
    University of California Irvine)

  • Feng Tao

    (Cornell University)

  • Yuanyuan Huang

    (Chinese Academy of Sciences)

  • Stefano Manzoni

    (Stockholm University)

  • Rose Abramoff

    (Wintergreen Earth Science)

  • Elisa Bruni

    (PSL University -IPSL)

  • Simon P. K. Bowring

    (Orme des Merisiers)

  • Arjun Chakrawal

    (Pacific Northwest National Laboratory)

  • Philippe Ciais

    (Orme des Merisiers)

  • Lars Elsgaard

    (Aarhus University
    Aarhus University)

  • Pierre Friedlingstein

    (University of Exeter
    École Polytechnique)

  • Katerina Georgiou

    (Lawrence Livermore National Laboratory)

  • Gustaf Hugelius

    (Stockholm University)

  • Lasse Busk Holm

    (Aarhus University)

  • Wei Li

    (Tsinghua University)

  • Yiqi Luo

    (Cornell University)

  • Gaëlle Marmasse

    (Orme des Merisiers
    Ecole Normale Supérieure de Lyon)

  • Naoise Nunan

    (UPEC
    Swedish University of Agricultural Sciences)

  • Chunjing Qiu

    (East China Normal University)

  • Stephen Sitch

    (University of Exeter)

  • Ying-Ping Wang

    (Commonwealth Scientific and Industrial Research Organization)

  • Daniel S. Goll

    (Orme des Merisiers)

Abstract

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.

Suggested Citation

  • Xianjin He & Elsa Abs & Steven D. Allison & Feng Tao & Yuanyuan Huang & Stefano Manzoni & Rose Abramoff & Elisa Bruni & Simon P. K. Bowring & Arjun Chakrawal & Philippe Ciais & Lars Elsgaard & Pierre , 2024. "Emerging multiscale insights on microbial carbon use efficiency in the land carbon cycle," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52160-5
    DOI: 10.1038/s41467-024-52160-5
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