Deriving Emission Factors and Estimating Direct Nitrous Oxide Emissions for Crop Cultivation in China

Qian Yue; Hua Wu; Jianfei Sun; Kun Cheng; Pete Smith; Jon Hillier; Xiangrui Xu; Genxing Pan

doi:10.1021/acs.est.9b01285

Deriving Emission Factors and Estimating Direct Nitrous Oxide Emissions for Crop Cultivation in China

Qian Yue, Hua Wu, Jianfei Sun, Kun Cheng (Corresponding Author), Pete Smith, Jon Hillier, Xiangrui Xu, Genxing Pan

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Abstract

Updating and refining the N2O emission factors (N2O-EFs) are vital to reduce the uncertainty in estimates of direct N2O emissions. Based on a database with 1151 field measurements across China, the N2O-EFs were established via three approaches including the maximum likelihood method, a linear regression with an intercept and a linear regression with the intercept set to 0 using 70% of the observations. The remaining 30% of the observations were then used to evaluate the predicted N2O-EFs. The third method had the highest R2 of 0.39 and the best model efficiency of 0.38 with no significant bias, showing the best calculation efficiency. The results showed that the N2O-EFs varied with agroregions, crops, and management patterns. The agroregions of Huang-Huai-Hai and Yangtze River had the higher N2O-EFs in maize and wheat seasons than other regions, and the highest N2O-EFs of 0.66–0.92% in the rice season was found in the South and Southwest agroregions. Both fertilizer types and water regimes had the remarkable effects on N2O-EFs. Based on the best estimation by the selected method, direct N2O emissions from China’s crop cultivation were estimated to be 194 Gg N2O–N with a 95% confidence interval of 180–208 Gg N2O–N in the year 2016.

Original language	English
Pages (from-to)	10246-10257
Number of pages	12
Journal	Environmental Science & Technology
Volume	53
Issue number	17
Early online date	31 Jul 2019
DOIs	https://doi.org/10.1021/acs.est.9b01285
Publication status	Published - 3 Sept 2019

Bibliographical note

ACKNOWLEDGMENTS
This work was financially supported by Natural Science Foundation of China under a grant numbers 41877546 and U1612441. This work also contributes to the activities of NCircle, a BBSRC-Newton Funded project (BB/N013484/1), and National Key Research and Development Program of China (2016YFD0300908-02). Q.Y. thanks the China Scholarship Council (CSC) for funding to support study at the
University of Aberdeen, U.K.

Keywords

agricultural soil
nitrous oxide
emission factor
agro-region
cropping system
N fertilizer

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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This document is the Accepted Manuscript version of a Published Work that appeared in final form in Environmental Science and Technology, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://pubs.acs.org/doi/10.1021/acs.est.9b01285
Accepted author manuscript, 1.19 MBLicence: Unspecified

Cite this

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title = "Deriving Emission Factors and Estimating Direct Nitrous Oxide Emissions for Crop Cultivation in China",

abstract = "Updating and refining the N2O emission factors (N2O-EFs) are vital to reduce the uncertainty in estimates of direct N2O emissions. Based on a database with 1151 field measurements across China, the N2O-EFs were established via three approaches including the maximum likelihood method, a linear regression with an intercept and a linear regression with the intercept set to 0 using 70% of the observations. The remaining 30% of the observations were then used to evaluate the predicted N2O-EFs. The third method had the highest R2 of 0.39 and the best model efficiency of 0.38 with no significant bias, showing the best calculation efficiency. The results showed that the N2O-EFs varied with agroregions, crops, and management patterns. The agroregions of Huang-Huai-Hai and Yangtze River had the higher N2O-EFs in maize and wheat seasons than other regions, and the highest N2O-EFs of 0.66–0.92% in the rice season was found in the South and Southwest agroregions. Both fertilizer types and water regimes had the remarkable effects on N2O-EFs. Based on the best estimation by the selected method, direct N2O emissions from China{\textquoteright}s crop cultivation were estimated to be 194 Gg N2O–N with a 95% confidence interval of 180–208 Gg N2O–N in the year 2016.",

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author = "Qian Yue and Hua Wu and Jianfei Sun and Kun Cheng and Pete Smith and Jon Hillier and Xiangrui Xu and Genxing Pan",

note = "ACKNOWLEDGMENTS This work was financially supported by Natural Science Foundation of China under a grant numbers 41877546 and U1612441. This work also contributes to the activities of NCircle, a BBSRC-Newton Funded project (BB/N013484/1), and National Key Research and Development Program of China (2016YFD0300908-02). Q.Y. thanks the China Scholarship Council (CSC) for funding to support study at the University of Aberdeen, U.K.",

year = "2019",

month = sep,

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doi = "10.1021/acs.est.9b01285",

language = "English",

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T1 - Deriving Emission Factors and Estimating Direct Nitrous Oxide Emissions for Crop Cultivation in China

AU - Yue, Qian

AU - Wu, Hua

AU - Sun, Jianfei

AU - Cheng, Kun

AU - Smith, Pete

AU - Hillier, Jon

AU - Xu, Xiangrui

AU - Pan, Genxing

N1 - ACKNOWLEDGMENTS This work was financially supported by Natural Science Foundation of China under a grant numbers 41877546 and U1612441. This work also contributes to the activities of NCircle, a BBSRC-Newton Funded project (BB/N013484/1), and National Key Research and Development Program of China (2016YFD0300908-02). Q.Y. thanks the China Scholarship Council (CSC) for funding to support study at the University of Aberdeen, U.K.

PY - 2019/9/3

Y1 - 2019/9/3

N2 - Updating and refining the N2O emission factors (N2O-EFs) are vital to reduce the uncertainty in estimates of direct N2O emissions. Based on a database with 1151 field measurements across China, the N2O-EFs were established via three approaches including the maximum likelihood method, a linear regression with an intercept and a linear regression with the intercept set to 0 using 70% of the observations. The remaining 30% of the observations were then used to evaluate the predicted N2O-EFs. The third method had the highest R2 of 0.39 and the best model efficiency of 0.38 with no significant bias, showing the best calculation efficiency. The results showed that the N2O-EFs varied with agroregions, crops, and management patterns. The agroregions of Huang-Huai-Hai and Yangtze River had the higher N2O-EFs in maize and wheat seasons than other regions, and the highest N2O-EFs of 0.66–0.92% in the rice season was found in the South and Southwest agroregions. Both fertilizer types and water regimes had the remarkable effects on N2O-EFs. Based on the best estimation by the selected method, direct N2O emissions from China’s crop cultivation were estimated to be 194 Gg N2O–N with a 95% confidence interval of 180–208 Gg N2O–N in the year 2016.

AB - Updating and refining the N2O emission factors (N2O-EFs) are vital to reduce the uncertainty in estimates of direct N2O emissions. Based on a database with 1151 field measurements across China, the N2O-EFs were established via three approaches including the maximum likelihood method, a linear regression with an intercept and a linear regression with the intercept set to 0 using 70% of the observations. The remaining 30% of the observations were then used to evaluate the predicted N2O-EFs. The third method had the highest R2 of 0.39 and the best model efficiency of 0.38 with no significant bias, showing the best calculation efficiency. The results showed that the N2O-EFs varied with agroregions, crops, and management patterns. The agroregions of Huang-Huai-Hai and Yangtze River had the higher N2O-EFs in maize and wheat seasons than other regions, and the highest N2O-EFs of 0.66–0.92% in the rice season was found in the South and Southwest agroregions. Both fertilizer types and water regimes had the remarkable effects on N2O-EFs. Based on the best estimation by the selected method, direct N2O emissions from China’s crop cultivation were estimated to be 194 Gg N2O–N with a 95% confidence interval of 180–208 Gg N2O–N in the year 2016.

KW - agricultural soil

KW - nitrous oxide

KW - emission factor

KW - agro-region

KW - cropping system

KW - N fertilizer

UR - http://www.mendeley.com/research/deriving-emission-factors-estimating-direct-nitrous-oxide-emissions-crop-cultivation-china

U2 - 10.1021/acs.est.9b01285

DO - 10.1021/acs.est.9b01285

M3 - Article

C2 - 31362503

SN - 0013-936X

VL - 53

SP - 10246

EP - 10257

JO - Environmental Science & Technology

JF - Environmental Science & Technology

IS - 17

ER -

Deriving Emission Factors and Estimating Direct Nitrous Oxide Emissions for Crop Cultivation in China

Abstract

Bibliographical note

Keywords

UN SDGs

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