Environmental Science and Pollution Research

, Volume 25, Issue 16, pp 15896–15908 | Cite as

Nitrogen fertilizer in combination with an ameliorant mitigated yield-scaled greenhouse gas emissions from a coastal saline rice field in southeastern China

  • Liying Sun
  • Yuchun Ma
  • Bo Li
  • Cheng Xiao
  • Lixin Fan
  • Zhengqin Xiong
Research Article


Coastal saline rice fields play an increasingly important role in rice production and associated greenhouse gas (GHG) emissions. However, few studies investigated the influences of nitrogen (N) fertilizer and soil ameliorant on GHG emissions simultaneously in this region. Thus, a field experiment was established to study the effects of different N fertilizers and soil ameliorant on global warming potential (GWP) and yield-scaled GHG intensity (GHGI) after accounting for carbon dioxide (CO2) equivalent emissions of methane (CH4) and nitrous oxide (N2O), agrochemical inputs, and farm operations along with agronomic nitrogen use efficiency (NUE) during the rice season of 2016 in a coastal saline paddy in Lianyungang, China. The experiment was initiated with four N treatments (N0, no N; Nu, urea; Nm, organic-inorganic mixed fertilizer; Nw, organic fertilizer made from wheat straw) and two ameliorant (A) treatments (A0, no ameliorant; A1, 22.5 kg ha−1 ameliorant). The results showed that three N fertilizers significantly increased the CH4 emissions, N2O emissions, GWP, and grain yield by 42.2% (p < 0.001), 57.1% (p < 0.001), 49.8% (p < 0.001), and 58.9% (p < 0.001), respectively. NuA1, NmA1, and NwA1 treatments obviously reduced the yield-scaled GHGI by 21.3%, 16.3%, and 12.4%, respectively, relative to the corresponding NuA0, NmA0, and NwA0 treatments. Overall, although three N fertilizers would increase the GWP, combining an ameliorant amendment with N fertilizer can effectively reduce the yield-scaled GHGI and meanwhile increase the grain yield, particularly the NmA1 strategy.


Nitrogen fertilizer Ameliorant Nitrogen use efficiency Coastal rice paddy Global warming potential 



We sincerely appreciate the anonymous reviewers and P. Garrigues for the critical and valuable comments to help improve this manuscript.

Funding information

This study was supported by the National Natural Science Foundation of China (41501245, 41601233), the Open Project of Jiangsu Key Laboratory of Agrivultural Meteorology (JKLAM1705), the Startup Foundation for Introducing Talent of NUIST (2014r050), the Natural Science Foundation of Jiangsu Province (BK20140990), and the Open Project of State Key Laboratory of Soil and Sustainable Agriculture (Y20160034).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Liying Sun
    • 1
    • 2
  • Yuchun Ma
    • 1
    • 3
  • Bo Li
    • 4
  • Cheng Xiao
    • 1
  • Lixin Fan
    • 1
  • Zhengqin Xiong
    • 2
  1. 1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters / Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied MeteorologyNanjing University of Information Science & TechnologyNanjingChina
  2. 2.Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental SciencesNanjing Agricultural UniversityNanjingChina
  3. 3.State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil ScienceChinese Academy of SciencesNanjingChina
  4. 4.College of Natural Resources and Environmental ScienceSouth China Agricultural UniversityGuangzhouChina

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