数字农科院2.0

Optimizing rice-crayfish systems with direct seeding: Impacts on greenhouse gas emissions and economic performance

文献类型： 外文期刊

作者： Liu, Yilin;Wang, Shaopeng;Yin, Yinghua;Zhai, Limei;Zhang, Fulin;Xia, Ying;Fan, Xianpeng;Liu, Hongbin

作者机构：

关键词： Methane emission;Greenhouse gas mitigation;Direct-seeding;Rice-crayfish;Functional genes

期刊名称： SOIL & TILLAGE RESEARCH

ISSN： 0167-1987

年卷期： 2025 年 258 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： The rapid expansion of rice-crayfish (RC) systems has raised concerns about increased methane (CH4) emissions due to prolonged field flooding, especially in long-term practices. While direct seeding (DS) is widely used to reduce CH4 in rice cultivation, its efficacy and economic viability in RC systems remain unclear. This study aimed to compare DS versus transplanting (TP) in RC systems cultivated for 5 (RC5) and 15 (RC15) years. Results showed that under TP, CH4 emissions were 22.0 % higher in RC15 than in RC5. Implementing DS reduced CH4 emissions by 49.9 % in RC5 and 30.1 % in RC15-mainly during the initial drainage stage-reducing the global warming potential (GWP) by 44.5 % and 27.3 %, despite increased nitrous oxide emissions. Mechanistically, DS suppressed methanogenesis by increasing soil redox potential, as indicated by a 14.1-50.9 % reduction in mcrA gene abundance, while increasing the abundance of ammonia-oxidizing bacteria genes. The reduced effectiveness in RC15 reflected altered emission drivers, as significant CH4-WFPS correlations observed in RC5 (R-2 = 0.96) were absent in RC15 (R-2 = 0.09), limiting water management benefits. Although DS reduced rice yields in RC5 (12.1-10.0 t ha(-1)), yields remained stable in RC15 (11.8 vs 12.3 t ha(-1)). Economically, DS improved net ecosystem economic benefits by 3.5 % in RC5 and 12.8 % in RC15 systems, driven by lower crop establishment costs and reduced GWP-associated environmental costs. This study demonstrates that DS is a viable strategy for balancing environmental sustainability with economic profitability in RC systems, though optimal management is modulated by system age.

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