Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Tian, Xingshuai, Yin, Yulong, Zhuang, Minghao, Cong, Jiahui, Chu, Yiyan, He, Kai, Zhang, Qingsong, Cui, Zhenling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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
_version_ 1784713503697797120
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
work_keys_str_mv AT tianxingshuai bottomupestimatesofreactivenitrogenlossfromchinesewheatproductionin2014
AT yinyulong bottomupestimatesofreactivenitrogenlossfromchinesewheatproductionin2014
AT zhuangminghao bottomupestimatesofreactivenitrogenlossfromchinesewheatproductionin2014
AT congjiahui bottomupestimatesofreactivenitrogenlossfromchinesewheatproductionin2014
AT chuyiyan bottomupestimatesofreactivenitrogenlossfromchinesewheatproductionin2014
AT hekai bottomupestimatesofreactivenitrogenlossfromchinesewheatproductionin2014
AT zhangqingsong bottomupestimatesofreactivenitrogenlossfromchinesewheatproductionin2014
AT cuizhenling bottomupestimatesofreactivenitrogenlossfromchinesewheatproductionin2014