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Calculating socially optimal nitrogen (N) fertilization rates for sustainable N management in China

文献类型： 外文期刊

作者： Yin, Yulong 1 ; Ying, Hao 1 ; Xue, Yanfang 2 ; Zheng, Huifang 1 ; Zhang, Qingsong 1 ; Cui, Zhenling 1 ;

作者机构： 1.China Agr Univ, Ctr Resources Environm & Food Secur, Beijing 100193, Peoples R China

2.Shandong Acad Agr Sci, Maize Res Inst, Jinan 250100, Shandong, Peoples R China

3.Henan Agr Univ, Coll Agron, Zhengzhou 450000, Henan, Peoples R China

关键词： Reactive N loss; Social cost of N; Socially optimal N rate; Net benefit; Sustainability

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：7.963； 五年影响因子：7.842 ）

ISSN： 0048-9697

年卷期： 2019 年 688 卷

页码：

收录情况： SCI

摘要： Current nitrogen (N) fertilization rates in China have incurred high social costs in the drive to achieve higher yields and economic returns. We conducted an intensive nation-wide investigation to estimate the socially optimal N rate (SOR) for Chinese maize, rice and wheat as a balance between crop productivity, farm income, ecological health and human health. The social cost of N impacts (SCN) was calculated based on 2210 field observations reported in 264 publications. The estimated SCN for three cereal crops grown in China was in the range $142-218 ha(-1) at medium N fertilization rates (173-204 kg N ha(-1)). The net benefits of N use were calculated as the differences between private profitability and the SCN. The minimum N application rate with maximized net benefit was estimated as the SOR calculated from data compiled from 27,476 on-farm year-site trials. The average SOR was in the range 149-160 kg ha(-1); values in this range were 18.1-23.7% lower than the privately optimal N rate (POR). The yield losses associated with implementation of the SOR were not significant (p < 0.01) compared with the yield of POR implementation. The POR calculates the minimum N application required to maximize private profitability, i.e., traditional N recommended practice. Compared with the POR, implementation of SOR reduced reactive N losses by 17.8-39.0%, and the SCN by 18.8-30.9%. Finally, we simulated the SOR at the county level for each soil type based on data collected from no-N control plots yields and maximum achieved yields (p < 0.01). Thus, we estimated the SOR at the Chinese county level for three cereal crops using direct on-farm measurements. This study provide updated estimates of optimizing N management to simultaneously address production and pollution problems in China and other similar regions of the world. (C) 2019 Elsevier B.V. All rights reserved.

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