Summary
This field-based study examined how conversion from flooded paddy fields to upland vegetable cultivation reshapes soil microbial network structure and N₂O emissions in the Yangtze River Delta. The authors found that N₂O fluxes increased substantially following conversion, accompanied by increased bacterial network connectivity and reduced fungal network connectivity. Network topology features, particularly bacterial co-occurrence patterns, emerged as stronger predictors of N₂O emissions than traditional soil chemical or physical properties, suggesting that altered microbial interactions are the primary mechanistic driver of elevated greenhouse gas emissions during this land use transition.
UK applicability
The findings may have limited direct applicability to UK farming systems, as flooded paddy production is not practised domestically and the Yangtze River Delta has distinct climatic, hydrological, and edaphic conditions. However, the methodological approach—using network analysis to predict emissions from microbial community shifts—could inform UK research on intensification of vegetable production systems and associated soil and climate impacts.
Key measures
N₂O emission fluxes (nmol N g⁻¹ h⁻¹), bacterial and fungal diversity indices, co-occurrence network metrics (average degree, number of edges, positive/negative connection edges, modularity), random forest feature importance
Outcomes reported
The study measured N₂O flux rates, soil microbial community composition, and co-occurrence network topology across paddy and vegetable soils at different conversion timepoints. Network connectivity metrics and soil environmental variables were analysed for their predictive capacity relative to N₂O emissions.
Topic tags
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