TY - JOUR
T1 - Emerging multiscale insights on microbial carbon use efficiency in the land carbon cycle
AU - He, Xianjin
AU - Abs, Elsa
AU - Allison, Steven D.
AU - Tao, Feng
AU - Huang, Yuanyuan
AU - Manzoni, Stefano
AU - Abramoff, Rose
AU - Bruni, Elisa
AU - Bowring, Simon P.K.
AU - Chakrawal, Arjun
AU - Ciais, Philippe
AU - Elsgaard, Lars
AU - Friedlingstein, Pierre
AU - Georgiou, Katerina
AU - Hugelius, Gustaf
AU - Holm, Lasse Busk
AU - Li, Wei
AU - Luo, Yiqi
AU - Marmasse, Gaëlle
AU - Nunan, Naoise
AU - Qiu, Chunjing
AU - Sitch, Stephen
AU - Wang, Ying Ping
AU - Goll, Daniel S.
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85204167456&partnerID=8YFLogxK
U2 - 10.1038/s41467-024-52160-5
DO - 10.1038/s41467-024-52160-5
M3 - Journal article
C2 - 39271672
AN - SCOPUS:85204167456
SN - 2041-1723
VL - 15
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 8010
ER -