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  5. Greenhouse gas emissions from global production and use of nitrogen synthetic fertilisers in agriculture

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Preprint
English
2021

Greenhouse gas emissions from global production and use of nitrogen synthetic fertilisers in agriculture

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English
2021
Research Square (Research Square)
DOI: 10.21203/rs.3.rs-1007419/v1

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Alicia Ledo
Alicia Ledo

Freelance Scientist & Consultant

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Stefano Menegat
Alicia Ledo
Reyes Tirado

Abstract

The global agri-food system relies on synthetic nitrogen (N) fertilisation to increase crop yields, yet the use of synthetic N fertiliser is unsustainable. In this study we estimate global greenhouse (GHG) emissions due to synthetic N fertiliser manufacture, transportation, and field use in agricultural systems. By developing the largest field-level dataset available on N 2 O soil emissions we estimate national, regional and global N 2 O direct emission factors (EFs), while we retrieve from the literature the EFs for indirect N 2 O soil emissions, and for N fertiliser manufacturing and transportation. We find that the synthetic N fertiliser supply chain was responsible for estimated emissions of 1.25 GtCO 2 e in 2018, representing 21.5% of agriculture direct emissions and 2.4% of global GHG emissions. Synthetic N fertiliser production accounted for 35.2% of total synthetic N fertiliser-associated emissions, while field emissions accounted for 62.4% and transportation accounted for the remaining 2.4%.The top four emitters together, China, India, USA and EU28 accounted for 63% of the total. Historical trends reveal the great disparity in total and per capita N use and efficiency in regional food production. Reducing overall production and use of synthetic N fertilisers offers large mitigation potential and in many cases realisable potential to reduce emissions.

How to cite this publication

Stefano Menegat, Alicia Ledo, Reyes Tirado (2021). Greenhouse gas emissions from global production and use of nitrogen synthetic fertilisers in agriculture. Research Square (Research Square), DOI: 10.21203/rs.3.rs-1007419/v1.

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Publication Details

Type

Preprint

Year

2021

Authors

3

Datasets

0

Total Files

0

Language

English

Journal

Research Square (Research Square)

DOI

10.21203/rs.3.rs-1007419/v1

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