Co-benefits for net carbon emissions and rice yields through improved management of organic nitrogen and water
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
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Yn: Nature Food, Cyfrol 5, 14.03.2024, t. 241-250.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
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T1 - Co-benefits for net carbon emissions and rice yields through improved management of organic nitrogen and water
AU - Liu, Bin
AU - Guo, Chaoyi
AU - Xu, Jie
AU - Zhao, Qingyue
AU - Chadwick, Dave
AU - Gao, Xiaopeng
AU - Zhou, Feng
AU - Lakshmanan, Prakash
AU - Wang, Xiaozhong
AU - Guan, Xilin
AU - Zhao, Huanyu
AU - Fang, Linfa
AU - Li, Shiyang
AU - Bai, Zhaohai
AU - Ma, Lin
AU - Chen, Xianjing
AU - Cui, Zhenling
AU - Shi, Xiaojun
AU - Zhang, Fusuo
AU - Chen, Xinping
AU - Li, Zhaolei
PY - 2024/3/14
Y1 - 2024/3/14
N2 - Returning organic nutrient sources (for example, straw and manure) torice fields is inevitable for coupling crop–livestock production. However,an accurate estimate of net carbon (C) emissions and strategies tomitigate the abundant methane (CH4) emission from rice fields suppliedwith organic sources remain unclear. Here, using machine learning and aglobal dataset, we scaled the field findings up to worldwide rice fields toreconcile rice yields and net C emissions. An optimal organic nitrogen (N)management was developed considering total N input, type of organicN source and organic N proportion. A combination of optimal organic Nmanagement with intermittent flooding achieved a 21% reduction in netglobal warming potential and a 9% rise in global rice production comparedwith the business-as-usual scenario. Our study provides a solution forrecycling organic N sources towards a more productive, carbon-neutral andsustainable rice–livestock production system on a global scale.
AB - Returning organic nutrient sources (for example, straw and manure) torice fields is inevitable for coupling crop–livestock production. However,an accurate estimate of net carbon (C) emissions and strategies tomitigate the abundant methane (CH4) emission from rice fields suppliedwith organic sources remain unclear. Here, using machine learning and aglobal dataset, we scaled the field findings up to worldwide rice fields toreconcile rice yields and net C emissions. An optimal organic nitrogen (N)management was developed considering total N input, type of organicN source and organic N proportion. A combination of optimal organic Nmanagement with intermittent flooding achieved a 21% reduction in netglobal warming potential and a 9% rise in global rice production comparedwith the business-as-usual scenario. Our study provides a solution forrecycling organic N sources towards a more productive, carbon-neutral andsustainable rice–livestock production system on a global scale.
U2 - 10.1038/s43016-024-00940-z
DO - 10.1038/s43016-024-00940-z
M3 - Article
VL - 5
SP - 241
EP - 250
JO - Nature Food
JF - Nature Food
SN - 2662-1355
ER -