Global patterns and drivers of soil microbial nitrogen and phosphorus use efficiency

D Decai Gao Y Yakov Kuzyakov M Manuel Delgado-Baquerizo (Laboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla, Consejo Superiorde Investigaciones Científicas,) J Josep Peñuelas D Daryl L. Moorhead (Department of Environmental Sciences, University of Toledo) R Robert L. Sinsabaugh (Department of Biology, University of New Mexico) X Xiaofeng Xu L Lifei Sun H Huimin Wang L Liang Kou X XiaoLi Fu X Xiaoqing Dai S Shengwang Meng Z Ziping Liu (Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University) S Siyu Wang F Frank Hagedorn M Matthias C. Rillig (Department of Biology, Chemistry, and Pharmacy, Institute of Biology, Freie Universität Berlin) Y Yongxing Cui (Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University)

Abstract

Abstract While nutrient use efficiency of soil microorganisms, the proportion of assimilated nutrients allocated into biosynthesis rather than invested in mineralization, is a critical microbial functional trait, its global patterns remain poorly quantified. Here, we estimate microbial nitrogen use efficiency (NUE, n  = 2012) and phosphorus use efficiency (PUE, n  = 3419) across terrestrial ecosystems using the ecoenzymatic stoichiometric approach. Globally, NUE (mean 0.60) is nearly twice as high as PUE (0.35). Soil organic carbon (SOC) is the strongest predictor of both, with higher SOC associated with greater nutrient use efficiency. Spatial upscaling shows that tundra and boreal forest soils have markedly lower NUE than other regions, suggesting high nitrogen investments in nutrient acquisition in cold ecosystems, whereas PUE is similar across biomes, implying pervasively low phosphorus acquisition capacity. Our study identifies potential nutrient cycling hotspots worldwide and offers critical parameters to refine large-scale predictions of soil carbon and nutrient dynamics.

Article Details

Volume / Issue Vol. 17, Issue 1
Published March 17, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (18)

D

Decai Gao

Y

Yakov Kuzyakov

M

Manuel Delgado-Baquerizo

Laboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla, Consejo Superiorde Investigaciones Científicas,

J

Josep Peñuelas

D

Daryl L. Moorhead

Department of Environmental Sciences, University of Toledo

R

Robert L. Sinsabaugh

Department of Biology, University of New Mexico

X

Xiaofeng Xu

L

Lifei Sun

H

Huimin Wang

L

Liang Kou

X

XiaoLi Fu

X

Xiaoqing Dai

S

Shengwang Meng

Z

Ziping Liu

Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University

S

Siyu Wang

F

Frank Hagedorn

M

Matthias C. Rillig

Department of Biology, Chemistry, and Pharmacy, Institute of Biology, Freie Universität Berlin

Y

Yongxing Cui

Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University