Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/38451
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Progressive shifts in soil respiration response to long-term nitrogen enrichment across global forests and grasslands
Author(s): Xing, Aijun
Zhao, Mengying
Liu, Shangshi
Broadbent, Arthur A D
Du, Enzai
Shen, Haihua
Fang, Jingyun
Contact Email: arthur.broadbent@stir.ac.uk
Keywords: soil respiration
carbon cycling
temporal trajectory
global change ecology
Issue Date: 10-Nov-2026
Date Deposited: 9-Nov-2026
Citation: Xing A, Zhao M, Liu S, Broadbent AAD, Du E, Shen H & Fang J (2026) Progressive shifts in soil respiration response to long-term nitrogen enrichment across global forests and grasslands. <i>Proceedings of the National Academy of Sciences</i>, 123 (45). https://doi.org/10.1073/pnas.2622400123
Abstract: Soil stores the largest pool of actively cycling carbon (C) on land, and its dynamics under global changes are critical for projecting climate feedbacks. Global nitrogen (N) deposition has more than doubled since the 1860s; however, the temporal dynamics of soil C emissions under prolonged N deposition are poorly understood. Here, using a global time-series dataset compiled from 38 long-term experiments in forests and grasslands, we find that the response of soil respiration (Rs) to N addition systematically shifts from a transient increase persisting for approximately 2 y to a sustained suppression over time (mean effect = −6%; 95% CI = [−10%, −3%]). Rs in forests and grasslands followed consistent nonlinear trajectories, characterized by a rapid initial decline in the magnitude of the response, which progressively leveled off. Notably, suppression of Rs emerged when cumulative N inputs exceeded a threshold of ~100 kg N ha−1. Consequently, the suppression was both stronger and occurred more rapidly under high-level N additions (>50 kg N ha−1 y−1). These temporal dynamics were associated with N-induced soil acidification and related changes in microbial properties. Overall, these findings indicate that accurate prediction of land–atmosphere C fluxes under global change requires models to capture the reported temporal dynamics.
DOI Link: 10.1073/pnas.2622400123
Rights: This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

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