Elevated plant nitrogen suppresses post-senescence decomposition: A novel mechanism in nitrogen-enriched ecosystems
Zhanbo Yang , Jingjing Yang , Jiale Shao , Jialiang Yao , Jushan Liu
Soil Ecology Letters ›› 2026, Vol. 8 ›› Issue (1) : 260377
Elevated plant nitrogen suppresses post-senescence decomposition: A novel mechanism in nitrogen-enriched ecosystems
The nitrogen (N) input can exert a dual effect on litter decomposition, depending on the litter quality. Additionally, increased N input alters plant nutrient composition, which directly impacts plant residue decomposition. However, this effect remains understudied, particularly in grassland ecosystems. We obtained two types of Leymus chinensis litter (low-N and high-N) from a long-term N addition experiment. A 730-day litter decomposition experiment was conducted to examine mass loss, nutrient release, stoichiometric changes, and microbial community dynamics. The results show that N addition increased litter mass loss by approximately 10.55%, and the mass loss of low-N litter increased by 10.14%. Furthermore, acid-unhydrolyzable residue accumulated over time, with greater accumulation in high-N litter, which may be a key factor underlying the slower decomposition of high-N litter. Another key factor may be the persistently high N:P ratio in high-N litter during decomposition, potentially making it more susceptible to P limitation. Our findings highlight that changes in litter quality under exogenous nutrient inputs play a key role in regulating decomposition, offering insights to improve predictive models of litter decomposition under changing nutrient inputs.
grassland / litter decomposition / acid-unhydrolyzable residue / Basidiomycota / stoichiometry
| ● Nitrogen addition promoted litter decomposition in semi-arid grasslands. | |
| ● Decomposition of high-nitrogen litter was inhibited. | |
| ● N:P ratios in low-N litter remained stable throughout decomposition. | |
| ● Fungal/bacterial intra-kingdom interactions were mainly positive. | |
| ● These findings can improve predictive models of litter decomposition under changing nutrient inputs. |
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Higher Education Press
Supplementary files
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