Literature DB >> 30537582

Estimating soil nitrate leaching of nitrogen fertilizer from global meta-analysis.

Yingcheng Wang1, Hao Ying1, Yulong Yin1, Huifang Zheng2, Zhenling Cui3.   

Abstract

Global estimates of soil nitrate leaching of applied nitrogen (N) in agricultural production systems are not imprecise; however, the results of some field experiments have suggested that nitrate leaching responds exponentially rather than linearly to increasing N inputs. In this study, we compiled field data on nitrate leaching for 324 site-year combinations extracted from 86 peer-reviewed articles to test the hypothesis that in response to N fertilizer addition, soil nitrate leaching emission factors (EF) do not remain constant, but rather increase rapidly with increasing rates of N application. The averaged overall results showed that the proportional change in the EF response to increasing N input (ΔEF, %) was 0.042. Because this value was positive and significantly different from zero, our results demonstrate that EF is not constant, but rather increases with N addition. We compared our ΔEF response pattern with other constant EF patterns, and found that the 30% EF estimate of the Intergovernmental Panel on Climate Change and the 19% EF used in another published model were too high. A global estimate of soil nitrate leaching in arable uplands calculated with our ΔEF pattern was substantially lower than other estimates calculated with other procedures. In conclusion, our ΔEF pattern provided a globally applicable procedure for more accurate estimation of leaching loss and potential environmental costs incurred by various N application gradients.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Nitrate leaching; Nitrogen fertilizer input; Non-linear response

Year:  2018        PMID: 30537582     DOI: 10.1016/j.scitotenv.2018.12.029

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  7 in total

1.  Nutrients Leaching in Response to Long-Term Fertigation and Broadcast Nitrogen in Blueberry Production.

Authors:  Aimé J Messiga; Kathryn Dyck; Kiera Ronda; Kolden van Baar; Dennis Haak; Shaobing Yu; Martine Dorais
Journal:  Plants (Basel)       Date:  2020-11-10

2.  Field-scale monitoring of nitrate leaching in agriculture: assessment of three methods.

Authors:  Hannah Wey; Daniel Hunkeler; Wolf-Anno Bischoff; Else K Bünemann
Journal:  Environ Monit Assess       Date:  2021-12-06       Impact factor: 2.513

3.  Optimal Fertilizer Application Reduced Nitrogen Leaching and Maintained High Yield in Wheat-Maize Cropping System in North China.

Authors:  Xiaosheng Luo; Changlin Kou; Qian Wang
Journal:  Plants (Basel)       Date:  2022-07-28

4.  Coupling the environmental impacts of reactive nitrogen losses and yield responses of staple crops in China.

Authors:  Ahmed I Abdo; Daolin Sun; Yazheng Li; Jiayue Yang; Mohamed S Metwally; Enas M W Abdel-Hamed; Hui Wei; Jiaen Zhang
Journal:  Front Plant Sci       Date:  2022-08-19       Impact factor: 6.627

5.  Nitrogen inputs best predict farm field nitrate leaching in the Willamette Valley, Oregon.

Authors:  J E Compton; S L Pearlstein; L Erban; R A Coulombe; B Hatteberg; A Henning; J R Brooks; J E Selker
Journal:  Nutr Cycl Agroecosyst       Date:  2021-05-19       Impact factor: 3.270

6.  Monitoring Environmental Parameters with Oil and Gas Developments in the Permian Basin, USA.

Authors:  Robert Nelson; Joonghyeok Heo
Journal:  Int J Environ Res Public Health       Date:  2020-06-05       Impact factor: 3.390

7.  Monitoring Plant Status and Fertilization Strategy through Multispectral Images.

Authors:  Matheus Cardim Ferreira Lima; Anne Krus; Constantino Valero; Antonio Barrientos; Jaime Del Cerro; Juan Jesús Roldán-Gómez
Journal:  Sensors (Basel)       Date:  2020-01-13       Impact factor: 3.576

  7 in total

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