Data-driven strategies to mitigate greenhouse gas emissions intensity while sustaining global rice production
文献类型: 外文期刊
作者: Wang, Chong 1 ; Luo, Ning 2 ; Liu, Jiangang 3 ; Fang, Yanru 4 ; Qi, Zhiming 5 ; Li, Shuo 6 ; Gao, Zhenzhen 7 ; Feng, Yupeng 8 ; Chu, Qingquan 2 ; Dai, Hancheng 1 ;
作者机构: 1.Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China
2.China Agr Univ, Coll Agron & Biotechnol, Beijing 100193, Peoples R China
3.Chinese Acad Agr Sci, Inst Vegetables & Flowers, Beijing 100081, Peoples R China
4.Chinese Res Acad Environm Sci Environm Technol & E, Beijing 100012, Peoples R China
5.McGill Univ, Dept Bioresource Engn, 21111 Lakeshore Rd, Sainte Annede De Bellevue, PQ H9X 3V9, Canada
6.Beijing Acad Agr & Forestry Sci, Inst Plant Nutr Resources & Environm, Beijing 100097, Peoples R China
7.Jiangsu Acad Agr Sci, Inst Ind Crops, Nanjing 210014, Peoples R China
8.Natl Agr Technol Extens & Serv Ctr, Beijing 100125, Peoples R China
关键词: Greenhouse gas emission; Rice yield; Management strategy; Spatial pattern; Global assessment; Greenhouse gas emission; Rice yield; Management strategy; Spatial pattern; Global assessment
期刊名称:RESOURCES CONSERVATION AND RECYCLING ( 影响因子:10.9; 五年影响因子:12.7 )
ISSN: 0921-3449
年卷期: 2026 年 224 卷
页码:
收录情况: SCI
摘要: Greenhouse gas emissions intensity (GHGI, carbon dioxide equivalent emissions per unit grain yield) is a holistic metric to measure agricultural productivity and environmental risks. However, the potential for GHGI mitigation in global rice fields, considering diverse management practices and their spatial patterns, remains poorly understood. Here, using a data-driven approach, we scaled site-level observations to the global grid to quantify GHGI responses to various management practices. Global assessment demonstrated that four out of ten key management practices, including enhanced efficiency fertilizer, deep fertilization, biochar amendment, and noncontinuous irrigation, reduced GHGI by 20.7-54.5 % while boosting rice yield by 3.3-10.6 %. These benefits were equivalent to carbon dioxide removal of 156.9-412.3 million tons and additional rice production of 25.8-81.5 million tons. Our findings identify key strategies that simultaneously reduce GHGI and maintain rice yield, highlighting the critical role and vast potential of sustainable solutions in supporting climate-smart rice production.
- 相关文献
作者其他论文 更多>>
-
Improving the stability of black soil microbial communities through long-term application of biochar to optimize the characteristics of DOM components
作者:Hu, Yu;Liu, Kangmeng;Yang, Zhenguo;Xu, Kuifeng;Yan, Lilong;Li, Shuo;Jin, Liang;Wei, Dan;Li, Yan;Wang, Wei;Shi, Chuanqi;Wang, Yuxian
关键词:Biochar; Black soil; DOM fluorescent components; Sampling period; Microplastics; Network analysis
-
Changes in planting methods will change the potential distribution of rice in South China under climate warming
作者:Li, Shuo;Zhao, Jie;Chen, Fu;Chu, Qingquan;Li, Shuo;Lu, Zhou;Luo, Ming;Chu, Qingquan
关键词:Climate warming; Direct-seeded rice; Planting methods; Distribution; Food security; South China
-
Laws Governing Nitrogen Loss and Its Numerical Simulation in the Sloping Farmland of the Miyun Reservoir
作者:Li, Yan;Jin, Liang;Li, Shuo;An, Zhizhuang;Suo, Linna;Ding, Jianli;Wei, Dan;Wang, Lei;Wu, Jiajun;Xie, Jianzhi;Wang, Lei;Shi, Chuanqi
关键词:nitrogen; surface flow; subsurface flow; nitrogen simulation model
-
Effects of the Rainfall Intensity and Slope Gradient on Soil Erosion and Nitrogen Loss on the Sloping Fields of Miyun Reservoir
作者:Wang, Lei;Li, Yan;An, Zhizhuang;Suo, Linna;Ding, Jianli;Li, Shuo;Wei, Dan;Jin, Liang;Wang, Lei;Wu, Jiajun
关键词:rainfall intensity; slope gradient; soil erosion; nitrogen loss
-
Coffee peel extracts ameliorate non-alcoholic fatty liver disease via a fibroblast growth factor 21-adiponectin signaling pathway
作者:Fan, Zekai;Wang, Chong;Yang, Ting;Gao, Tianlin;Guo, Xiaofei;Li, Duo;Fan, Zekai;Wang, Chong;Yang, Ting;Gao, Tianlin;Guo, Xiaofei;Li, Duo;Wang, Chong;Wang, Dan;Zhao, Xiaoyan
关键词:
-
Establishment of Plot-Yield Prediction Models in Soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing
作者:Zhang, Xiaoyan;Zhao, Jinming;Cao, Jiqiu;Li, Chunyan;Gai, Junyi;Zhang, Xiaoyan;Cao, Jiqiu;Li, Chunyan;Yang, Guijun;Liu, Jiangang;Zhao, Xiaoqing
关键词:soybean breeding; plot-yield prediction; UAV-based hyperspectral remote sensing; vegetation index; multiple linear regression; determination coefficient (R-2); root mean square error (RMSE)
-
Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models
作者:Yuan, Huanhuan;Yang, Guijun;Wang, Yanjie;Liu, Jiangang;Yu, Haiyang;Feng, Haikuan;Xu, Bo;Zhao, Xiaoqing;Yang, Xiaodong;Yuan, Huanhuan;Li, Changchun;Wang, Yanjie;Yuan, Huanhuan;Yang, Guijun;Liu, Jiangang;Feng, Haikuan;Yang, Xiaodong;Yang, Guijun;Yu, Haiyang;Xu, Bo;Zhao, Xiaoqing;Yang, Xiaodong
关键词:LAI retrieval;hyperspectral remote sensing;sampling method;random forests;artificial neural networks;support vector machine



