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Bottom-up estimates of reactive nitrogen loss from Chinese wheat production in 2014
Excessive use of synthetic nitrogen (N) for Chinese wheat production results in high loss of reactive N loss (Nr; all forms of N except N(2)) into the environment, causing serious environmental issues. Quantifying Nr loss and its spatial variations therein is vital to optimize N management and mitig...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133013/ https://www.ncbi.nlm.nih.gov/pubmed/35614078 http://dx.doi.org/10.1038/s41597-022-01315-4 |
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author | Tian, Xingshuai Yin, Yulong Zhuang, Minghao Cong, Jiahui Chu, Yiyan He, Kai Zhang, Qingsong Cui, Zhenling |
author_facet | Tian, Xingshuai Yin, Yulong Zhuang, Minghao Cong, Jiahui Chu, Yiyan He, Kai Zhang, Qingsong Cui, Zhenling |
author_sort | Tian, Xingshuai |
collection | PubMed |
description | Excessive use of synthetic nitrogen (N) for Chinese wheat production results in high loss of reactive N loss (Nr; all forms of N except N(2)) into the environment, causing serious environmental issues. Quantifying Nr loss and its spatial variations therein is vital to optimize N management and mitigate loss. However, accurate, high spatial resolution estimations of Nr from wheat production are lacking due to limitations of data generation and estimation methods. Here, we applied the random forest (RF) algorithm to bottom-up N application rate data, obtained through a survey of millions of farmers, to estimate the Nr loss from wheat production in 2014. The results showed that the average total Nr loss was 52.5 kg N ha(−1) (range: 4.6-157.8 kg N ha(−1)), which accounts for 26.1% of the total N applied. The hotspots for high Nr loss are the same as those high applied N, including northwestern Xinjiang, central-southern Hebei, Shandong, central-northern Jiangsu, and Hubei. Our database could guide regional N management and be used in conjunction with biogeochemical models. |
format | Online Article Text |
id | pubmed-9133013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91330132022-05-27 Bottom-up estimates of reactive nitrogen loss from Chinese wheat production in 2014 Tian, Xingshuai Yin, Yulong Zhuang, Minghao Cong, Jiahui Chu, Yiyan He, Kai Zhang, Qingsong Cui, Zhenling Sci Data Data Descriptor Excessive use of synthetic nitrogen (N) for Chinese wheat production results in high loss of reactive N loss (Nr; all forms of N except N(2)) into the environment, causing serious environmental issues. Quantifying Nr loss and its spatial variations therein is vital to optimize N management and mitigate loss. However, accurate, high spatial resolution estimations of Nr from wheat production are lacking due to limitations of data generation and estimation methods. Here, we applied the random forest (RF) algorithm to bottom-up N application rate data, obtained through a survey of millions of farmers, to estimate the Nr loss from wheat production in 2014. The results showed that the average total Nr loss was 52.5 kg N ha(−1) (range: 4.6-157.8 kg N ha(−1)), which accounts for 26.1% of the total N applied. The hotspots for high Nr loss are the same as those high applied N, including northwestern Xinjiang, central-southern Hebei, Shandong, central-northern Jiangsu, and Hubei. Our database could guide regional N management and be used in conjunction with biogeochemical models. Nature Publishing Group UK 2022-05-25 /pmc/articles/PMC9133013/ /pubmed/35614078 http://dx.doi.org/10.1038/s41597-022-01315-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Tian, Xingshuai Yin, Yulong Zhuang, Minghao Cong, Jiahui Chu, Yiyan He, Kai Zhang, Qingsong Cui, Zhenling Bottom-up estimates of reactive nitrogen loss from Chinese wheat production in 2014 |
title | Bottom-up estimates of reactive nitrogen loss from Chinese wheat production in 2014 |
title_full | Bottom-up estimates of reactive nitrogen loss from Chinese wheat production in 2014 |
title_fullStr | Bottom-up estimates of reactive nitrogen loss from Chinese wheat production in 2014 |
title_full_unstemmed | Bottom-up estimates of reactive nitrogen loss from Chinese wheat production in 2014 |
title_short | Bottom-up estimates of reactive nitrogen loss from Chinese wheat production in 2014 |
title_sort | bottom-up estimates of reactive nitrogen loss from chinese wheat production in 2014 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133013/ https://www.ncbi.nlm.nih.gov/pubmed/35614078 http://dx.doi.org/10.1038/s41597-022-01315-4 |
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