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Spatial optimization of rice systems with ratoon rice increases production and reduces methane emissions

文献类型： 外文期刊

作者： Ding, Qian 1 ; Li, Yuechen 1 ; Cao, Ruyin 4 ; Chen, Jin 5 ; Yao, Xiong 6 ; Zhang, Wujun 6 ;

作者机构： 1.Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data App, Sch Geog Sci, Chongqing Jinfo Mt Natl Field Sci Observat & Res S, Chongqing 400715, Peoples R China

2.Key Lab Remote Sensing Applicat & Innovat, Chongqing 401147, Peoples R China

3.Minist Nat Resources, Key Lab Monitoring Evaluat & Early Warning Terr Sp, Chongqing 401147, Peoples R China

4.Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Sichuan, Peoples R China

5.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

6.Chongqing Acad Agr Sci, Chongqing Rice Ratooning Res Ctr, Chongqing 401329, Peoples R China

关键词： Ratoon rice; Production; Methane emission; Suitability; China

期刊名称：EUROPEAN JOURNAL OF AGRONOMY （ 影响因子：5.5； 五年影响因子：5.9 ）

ISSN： 1161-0301

年卷期： 2025 年 170 卷

页码：

收录情况： SCI

摘要： The ratoon rice system (RR) has potential for increasing rice production and reducing environmental impacts. However, research on the spatial optimization of rice systems with RR to balance rice production and environmental protection is limited. We explored the trade-offs in production and methane emissions between RR, the single-season rice system (SR), and the double-season rice system (DR) by employing spatial optimization as a research paradigm. On the basis of 70 field sites, we analyzed the yield and methane emission differences among RR, SR and DR. A random forest model was employed to assess the suitability of RR in China's rice fields. The potential of RR to increase production and reduce methane emissions in medium-and high-suitability areas under different spatial cultivation strategies was quantified through scenario simulations. We found that the annual yield of RR (12.40 +/- 1.98 t ha(-1)) was significantly higher than that of SR (73.53 %) but less than that of DR (1.35 %). However, its methane emissions (0.42 +/- 0.19 t ha(-1)) were lower than those of DR (38.25 %) but higher than those of SR (27.43 %). Suitability analysis revealed that 73.82 % of rice fields nationwide are suitable for RR, with 99.21 % suitability in DR areas. Scenario simulations indicated that, with the optimal spatial layout of rice systems, RR could increase rice production by 14.55 % without increasing methane emissions or reduce methane emissions by 5.31 % while maintaining rice production. This study demonstrated the significant potential of RR to increase rice production while reducing environmental impacts through spatial optimization and offered an innovative approach for sustainable rice production planning in China.

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