A - Papers appearing in refereed journals
Sha, Z., Ma, X., Liu, R-H., Wang, J., Lv, T., Goulding, K. W. T. and Liu, X. 2023. Crop-specific ammonia volatilization rates and key influencing factors in the upland of China - A data synthesis. Journal of Environmental Management. 336 (June), p. 117676. https://doi.org/10.1016/j.jenvman.2023.117676
Authors | Sha, Z., Ma, X., Liu, R-H., Wang, J., Lv, T., Goulding, K. W. T. and Liu, X. |
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Abstract | Ammonia (NH3) is an important alkaline reactive nitrogen (Nr) species which is involved in global nitrogen (N) biogeochemical cycling, but which has negative impacts on the environment and human health. In order to better understand and control the NH3 loss potential in soil-upland crop systems in China, an integrated data analysis including 1302 observations from 236 published articles between 1980 and 2021 was conducted. The typical NH3 volatilization rate (AVR) and the main factors influencing AVR in the major Chinese upland crops (maize, wheat, openfield vegetables and greenhouse vegetables and others) were estimated and analyzed. The mean AVR for maize, wheat, openfield vegetables and greenhouse vegetables were 7.8%, 5.3%, 8.4% and 1.8%. |
Keywords | Soil-crop systems; Ammonia volatilization loss; Machine learning model; Influencing factors |
Year of Publication | 2023 |
Journal | Journal of Environmental Management |
Journal citation | 336 (June), p. 117676 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jenvman.2023.117676 |
Web address (URL) | https://doi.org/10.1016/j.jenvman.2023.117676 |
Open access | Published as non-open access |
Funder | BBSRC Newton funding |
Funder project or code | UK - China Virtual Joint Centre for Improved Nitrogen Agronomy (CINAG) |
Output status | Published |
Publication dates | |
Online | 07 Mar 2023 |
Publication process dates | |
Accepted | 03 Mar 2023 |
Publisher | Academic Press Ltd- Elsevier Science Ltd |
ISSN | 0301-4797 |
Permalink - https://repository.rothamsted.ac.uk/item/98vv3/crop-specific-ammonia-volatilization-rates-and-key-influencing-factors-in-the-upland-of-china-a-data-synthesis
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