Microbial Network Complexity Helps to Reduce the Deep Migration of Chemical Fertilizer Nitrogen Under the Combined Application of Varying Irrigation Amounts and Multiple Nitrogen Sources

Taotao Chen, Erping Cui, Yanbo Zhang, Ge Gao, Hao You, Yurun Tian, Chao Hu, Yuan Liu, Tao Fan and Xiangyang Fan ()
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Taotao Chen: Institute of Farmland Irrigation of Chinese Academy of Agricultural Sciences, Xinxiang 453002, China
Erping Cui: Institute of Farmland Irrigation of Chinese Academy of Agricultural Sciences, Xinxiang 453002, China
Yanbo Zhang: Xinxiang Hydrology and Water Resources Reporting Subcenter of Henan Province, Xinxiang 453002, China
Ge Gao: Institute of Farmland Irrigation of Chinese Academy of Agricultural Sciences, Xinxiang 453002, China
Hao You: Institute of Farmland Irrigation of Chinese Academy of Agricultural Sciences, Xinxiang 453002, China
Yurun Tian: Institute of Farmland Irrigation of Chinese Academy of Agricultural Sciences, Xinxiang 453002, China
Chao Hu: Institute of Farmland Irrigation of Chinese Academy of Agricultural Sciences, Xinxiang 453002, China
Yuan Liu: Institute of Farmland Irrigation of Chinese Academy of Agricultural Sciences, Xinxiang 453002, China
Tao Fan: Institute of Farmland Irrigation of Chinese Academy of Agricultural Sciences, Xinxiang 453002, China
Xiangyang Fan: Institute of Farmland Irrigation of Chinese Academy of Agricultural Sciences, Xinxiang 453002, China

Agriculture, 2024, vol. 14, issue 12, 1-18

Abstract: The deep migration of soil nitrogen (N) poses a significant risk of N leaching, contributing to non-point-source pollution. This study examines the influence of microbial networks on the deep migration of chemical fertilizer N under varying irrigation management and multiple N fertilizer sources. A soil column experiment with eight treatments was conducted, utilizing 15 N isotope labeling and metagenomic sequencing technology. The findings revealed that reduced irrigation significantly curbs the deep migration of chemical fertilizer N, and straw returning also mitigates this migration under conventional irrigation. Microbial network complexity and stability were markedly higher under reduced irrigation compared to conventional practices. Notably, network node count, average degree, and modularity exhibited significant negative correlations with the deep migration of chemical fertilizer N. The network topology indices, including node count, average clustering coefficient, average degree, modularity, and edge count, were found to be relatively more important for the deep migration of chemical fertilizer N. In conclusion, microbial networks play an important role in reducing the deep migration of chemical fertilizer N.

Keywords: microbial network; nitrogen migration; multiple N sources; reduced irrigation amount; 15 N labeling (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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