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 and Daniel S. Goll ()
Additional contact information
Xianjin He: Orme des Merisiers
Elsa Abs: Orme des Merisiers
Steven D. Allison: 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
Pierre Friedlingstein: University of Exeter
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
Naoise Nunan: UPEC
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

Nature Communications, 2024, vol. 15, issue 1, 1-14

Abstract: 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.

Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-024-52160-5 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52160-5

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-024-52160-5

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().