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

  • 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 Friedlingstein
  • , Katerina Georgiou
  • , Gustaf Hugelius
  • , Lasse Busk Holm
  • , Wei Li
  • , Yiqi Luo
  • , Gaëlle Marmasse
  • , Naoise Nunan
  • Chunjing Qiu, Stephen Sitch, Ying Ping Wang, Daniel S. Goll
  • UVSQ
  • Long Beach VA and University of California
  • Cornell University
  • Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
  • Stockholm University
  • Wintergreen Earth Science
  • Laboratoire de Géologie de l'École Normale Supérieure de Paris
  • Pacific Northwest National Laboratory
  • Aarhus University
  • University of Exeter
  • Lawrence Livermore National Laboratory
  • Tsinghua University
  • Ecole Normale Supérieure de Lyon
  • Sorbonne Université
  • Swedish University of Agricultural Sciences
  • East China Normal University
  • Commonwealth Scientific and Industrial Research Organization

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number8010
JournalNature Communications
Volume15
Issue number1
DOIs
Publication statusPublished - 1 Dec 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

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