文献类型： 外文期刊

作者： Liang, Hao ¹ ; Fu, Jin ¹ ; Zhou, Guopeng ² ; Feng, Jiguang ¹ ; Zhu, Qiuan ¹ ; Smith, Pete ⁴ ; Gabrielle, Benoit ⁵ ; Li, Tao ⁶ ; Schmidt, Susanne ⁷ ; Xu, Changxu ⁸ ; Liu, Jia ⁸ ; Nie, Jun ⁹ ; Wu, Ji ¹⁰ ; Geng, Mingjian ¹¹ ; Wang, Fei ¹² ; Liang, Yuting ¹³ ; Cao, Weidong ³ ; Zhou, Feng ¹ ;

作者机构： 1.Hohai Univ, Coll Geog & Remote Sensing, State Key Lab Water Disaster Prevent, Jiangsu Key Lab Soil & Water Proc Watershed, Nanjing, Peoples R China

2.Anhui Agr Univ, Coll Resources & Environm, Anhui Prov Key Lab Farmland Ecol Conservat & Nutri, Hefei, Peoples R China

3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arable Land China, Beijing, Peoples R China

4.Univ Aberdeen, Inst Biol & Environm Sci, Aberdeen, Scotland

5.Univ Paris Saclay, INRAE, AgroParisTech, UMR ECOSYS, Palaiseau, France

6.Int Rice Res Inst, Los Banos, Philippines

7.Univ Queensland, Sch Agr & Food Sustainabil, Brisbane, Qld, Australia

8.Jiangxi Acad Agr Sci, Inst Soil & Fertilizer & Resources & Environm, Nanchang, Peoples R China

9.Hunan Acad Agr Sci, Soil & Fertilizer Inst Hunan Prov, Changsha, Peoples R China

10.Anhui Acad Agr Sci, Inst Soil & Fertilizer, Hefei, Peoples R China

11.Huazhong Agr Univ, Coll Resources & Environm, Wuhan, Peoples R China

12.Fujian Acad Agr Sci, Inst Soil & Fertilizer Resources & Environm, Fuzhou, Peoples R China

13.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing, Peoples R China

14.Peking Univ, Inst Carbon Neutral, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing, Peoples R China

关键词： paddy soil; methane; green manure; rotation year; process-based modeling

期刊名称：EARTHS FUTURE （ 影响因子：8.2； 五年影响因子：9.5 ）

ISSN：

年卷期： 2025 年 13 卷 8 期

页码：

收录情况： SCI

摘要： Green manure (GM) enhances the ecological services in agricultural ecosystems, including soil health and carbon sequestration. However, its effect on regional methane (CH4) emissions from paddy fields is unclear. Here we clarify the impacts of GM rotation by combining process-based modeling with microbial gene abundance information and coordinated distributed observations at 14 sites in southern China. We found that GM management, including application rate and rotation year, mainly affects CH4 emissions in GM-rice systems by impacting soil biotic factors, which explain 78.4% of the variation (p < 0.001). The most influential factor is the ratio of soil CH4 production to oxidation gene abundances (R-2 = 0.510; p < 0.001), which decreases with GM rotation year due to increased activity of methane-oxidizing soil microbes (p < 0.001), indicating that CH4 emissions from GM-rice systems decrease with increased GM rotation year. By incorporating these microbial mechanisms as quantitative parameters in process-based model, we project that approximately 76% of the paddy rice areas in southern China, which have relatively low GM biomass and baseline CH4 emissions, can achieve reductions in CH4 emissions through nearly 15 years of GM crop rotation. This study indicates that CH4 emissions from GM-rice rotations with appropriate GM application rate over the long term will not significantly increase, resolving the contradictions in previous research.