Nitrous oxide emission factors of mineral fertilisers in the UK and Ireland: a Bayesian analysis of 20 years of experimental data
| Autor: | Julia Drewer, Ute Skiba, E.J. Carnell, Peter Levy, Ulrike Dragosits, Nicholas Cowan |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
Ammonium nitrate Nitrous Oxide chemistry.chemical_element 010501 environmental sciences Greenhouse gas 01 natural sciences Article Atmospheric Sciences Calcium ammonium nitrate chemistry.chemical_compound Soil Animal science Temperate climate Urea Fertilizers lcsh:Environmental sciences 0105 earth and related environmental sciences General Environmental Science lcsh:GE1-350 Air Pollutants Minerals N2O Agriculture Bayes Theorem Nitrous oxide Microbial inhibitor Nitrogen United Kingdom chemistry Agriculture and Soil Science National inventory Environmental science Arable land Ireland |
| Zdroj: | Environment International Environment International, Vol 135, Iss, Pp-(2020) |
| DOI: | 10.1016/j.envint.2019.105366 |
| Popis: | Highlights • We compiled datasets of N2O emission factors (EFs) from 21 separate studies. • A Bayesian approach improves uncertainty analysis of EFs. • AN applications were lower for applications to arable fields than to grasslands. • Microbial inhibitors reduce emissions of N2O from mineral fertilisers significantly. In this study, we analysed datasets of N2O emission factors (EFs) from 21 separate studies carried out on arable and managed grasslands across the UK and Ireland over the past 20 years. A total of 641 separate events were collated from 40 experimental field sites. Individual EFs ranged over an order of magnitude (0–12% of applied N) for each fertiliser type, following a log-normal distribution in all cases. Our study shows that a Bayesian approach can provide a robust statistical method that is capable of performing uncertainty analysis on log-normal distributed data in a more defensible manner than conventional statistical methods allow. This method allowed for a national scale comparison of EFs between the most commonly applied mineral fertilisers based solely on previously published data (UK and Ireland in this case). The study shows that ammonium nitrate (AN) and Calcium ammonium nitrate (CAN) are the largest emitting fertiliser types by mass across the British Isles (temperate climate zone), with EFs of 1.1 (1.0–1.2) % and 1.0 (0.7–1.3) % for all recorded events, respectively; however, emissions from AN applications were significantly lower for applications to arable fields (0.6%) than to grasslands (1.3%). EFs associated with urea (CO(NH₂)₂) were significantly lower than AN for grasslands with an EF of 0.6 (0.5–0.7) %, but slightly higher for arable fields with an EF of 0.7 (0.4–1.4) %. The study highlights the potential effectiveness of microbial inhibitors at reducing emissions of N2O from mineral fertilisers, with Dicyandiamide (DCD) treated AN reducing emissions by approximately 28% and urea treated with either DCD or N-(n)-butyl) thiophosphorictriamide (NBTP) reducing emissions by approximately 40%. Although limited by a relatively small sample size (n = 11), urea treated with both DCD and NBPT appeared to have the lowest EF of all treatments at 0.13 (0.08–0.21) %, highlighting the potential to significantly reduce N2O emissions at regional scales if applied instead of conventional nitrogen fertilisers. |
| Databáze: | OpenAIRE |
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