Literature DB >> 26774771

Quantifying nitrogen leaching response to fertilizer additions in China's cropland.

Shuoshuo Gao1, Peng Xu2, Feng Zhou3, Hui Yang1, Chunmiao Zheng4, Wei Cao5, Shu Tao1, Shilong Piao1, Yue Zhao6, Xiaoyan Ji7, Ziyin Shang1, Minpeng Chen8.   

Abstract

Agricultural soils account for more than 50% of nitrogen leaching (LN) to groundwater in China. When excess levels of nitrogen accumulate in groundwater, it poses a risk of adverse health effects. Despite this recognition, estimation of LN from cropland soils in a broad spatial scale is still quite uncertain in China. The uncertainty of LN primarily stems from the shape of nitrogen leaching response to fertilizer additions (N rate) and the role of environmental conditions. On the basis of 453 site-years at 51 sites across China, we explored the nonlinearity and variability of the response of LN to N rate and developed an empirical statistical model to determine how environmental factors regulate the rate of N leaching (LR). The result shows that LN-N rate relationship is convex for most crop types, and varies by local hydro-climates and soil organic carbon. Variability of air temperature explains a half (∼ 52%) of the spatial variation of LR. The results of model calibration and validation indicate that incorporating this empirical knowledge into a predictive model could accurately capture the variation in leaching and produce a reasonable upscaling from site to country. The fertilizer-induced LN in 2008 for China's cropland were 0.88 ± 0.23 TgN (1σ), significantly lower than the linear or uniform model, as assumed by Food and Agriculture Organization and MITERRA-EUROPE models. These results also imply that future policy to reduce N leaching from cropland needs to consider environmental variability rather than solely attempt to reduce N rate.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bayesian inference; Nitrogen leaching; Nonlinearity; Spatial pattern; Variability

Mesh:

Substances:

Year:  2016        PMID: 26774771     DOI: 10.1016/j.envpol.2016.01.010

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  5 in total

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Authors:  Shengjun Xu; Sining Zhou; Shuanglong Ma; Cancan Jiang; Shanghua Wu; Zhihui Bai; Guoqiang Zhuang; Xuliang Zhuang
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-06       Impact factor: 4.223

2.  Data-driven estimates of global nitrous oxide emissions from croplands.

Authors:  Qihui Wang; Feng Zhou; Ziyin Shang; Philippe Ciais; Wilfried Winiwarter; Robert B Jackson; Francesco N Tubiello; Greet Janssens-Maenhout; Hanqin Tian; Xiaoqing Cui; Josep G Canadell; Shilong Piao; Shu Tao
Journal:  Natl Sci Rev       Date:  2019-07-11       Impact factor: 17.275

3.  The Variability of Nitrogen Forms in Soils Due to Traditional and Precision Agriculture: Case Studies in Poland.

Authors:  Anna Podlasek; Eugeniusz Koda; Magdalena Daria Vaverková
Journal:  Int J Environ Res Public Health       Date:  2021-01-08       Impact factor: 3.390

4.  Optimal Growth Conditions for Azolla pinnata R. Brown: Impacts of Light Intensity, Nitrogen Addition, pH Control, and Humidity.

Authors:  Maria Emelia Jesus da Silva; Lebani Oarabile Joy Mathe; Ignatius Leopoldus van Rooyen; Hendrik Gideon Brink; Willie Nicol
Journal:  Plants (Basel)       Date:  2022-04-12

5.  The Structure and Diversity of Nitrogen Functional Groups from Different Cropping Systems in Yellow River Delta.

Authors:  Huan He; Yongjun Miao; Lvqing Zhang; Yu Chen; Yandong Gan; Na Liu; Liangfeng Dong; Jiulan Dai; Weifeng Chen
Journal:  Microorganisms       Date:  2020-03-17
  5 in total

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