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Shufeng Chen
Beijing Municipal Research Institute of Environmental Protection, Beijing 100037, China

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Journal article
Published: 16 July 2019 in Sustainability
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Livestock and poultry farming sectors are among the largest anthropogenic methane (CH4) emission sources, mainly from enteric fermentation and manure management. Previous inventories of CH4 emission were generally based on constant emission factor (EF) per head, which had some weaknesses mainly due to the succession of breeding and feeding systems over decades. Here, more reliable long-term changes of CH4 emissions from livestock and poultry farming in Beijing are estimated using the dynamic EFs based on the Intergovernmental Panel on Climate Change (IPCC) Tier 2 method, and high-resolution spatial patterns of CH4 emissions are also estimated with intensive field survey. The results showed that the estimated CH4 emissions derived by dynamic EFs were approximately 13–19% lower than those based on the constant EF before 2010. After 2011, however, the dynamic EFs-derived CH4 emissions were a little higher (3%) than the constant EF method. Temporal CH4 emissions in Beijing had experienced four developing stages (1978–1988: stable; 1989–1998: slow growth; 1999–2004: rapid growth and reached hot moments; 2005–2014: decline) during 1978–2014. Over the first two decades, the contributions of pigs (45%) and cattle (46%) to annual CH4 emission were similar; subsequently, the cattle emitted more CH4 compared to the pigs. At a spatial scale, Shunyi, Daxing, and Tongzhou districts with more cattle and pigs are the hotspots of CH4 emission. In conclusion, the dynamic EFs method obviously improved the spatio-temporal estimates of CH4 emissions compared to the constant EF approach, and the improvements depended on the period and aquaculture structure. Therefore, the dynamic EFs method should be recommended for estimating CH4 emissions from livestock and poultry farming in the future.

ACS Style

Yixuan Guo; Yidong Wang; Shufeng Chen; Shunan Zheng; Changcheng Guo; Dongmei Xue; Yakov Kuzyakov; Zhong-Liang Wang. Inventory of Spatio-Temporal Methane Emissions from Livestock and Poultry Farming in Beijing. Sustainability 2019, 11, 3858 .

AMA Style

Yixuan Guo, Yidong Wang, Shufeng Chen, Shunan Zheng, Changcheng Guo, Dongmei Xue, Yakov Kuzyakov, Zhong-Liang Wang. Inventory of Spatio-Temporal Methane Emissions from Livestock and Poultry Farming in Beijing. Sustainability. 2019; 11 (14):3858.

Chicago/Turabian Style

Yixuan Guo; Yidong Wang; Shufeng Chen; Shunan Zheng; Changcheng Guo; Dongmei Xue; Yakov Kuzyakov; Zhong-Liang Wang. 2019. "Inventory of Spatio-Temporal Methane Emissions from Livestock and Poultry Farming in Beijing." Sustainability 11, no. 14: 3858.

Journal article
Published: 22 February 2017 in Water
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Field experiments were carried out in Huantai County from 2006 to 2008 to evaluate the effects of different nitrogen (N) fertilization and irrigation management practices on water leakage and nitrate leaching in the dominant wheat–maize rotation system in the North China Plain (NCP). Two N fertilization (NF1, the traditional one; NF2, fertilization based on soil testing) and two irrigation (IR1, the traditional one; IR2, irrigation based on real-time soil water content monitoring) management practices were designed in the experiments. Water and nitrate amounts leaving the soil layer at a depth of 2.0 m below the soil surface were calculated and compared. Results showed that the IR2 effectively reduced water leakage and nitrate leaching amounts in the two-year period, especially in the winter wheat season. Less than 10 percent irrigation water could be saved in a dry winter wheat season, but about 60 percent could be saved in a wet winter wheat season. Besides, 58.8 percent nitrate under single NF2IR1 and 85.2 percent under NF2IR2 could be prevented from leaching. The IR2 should be considered as the best management practice to save groundwater resources and prevent nitrate from leaching. The amounts of N input play a great role in affecting nitrate concentrations in the soil solutions in the winter wheat–summer maize rotation system. The NF2 significantly reduced N inputs and should be encouraged in ordinary agricultural production. Thus, nitrate leaching and groundwater contamination could be alleviated, but timely N supplement might be needed under high precipitation condition.

ACS Style

Shufeng Chen; Chengchun Sun; Wenliang Wu; Changhong Sun. Water Leakage and Nitrate Leaching Characteristics in the Winter Wheat–Summer Maize Rotation System in the North China Plain under Different Irrigation and Fertilization Management Practices. Water 2017, 9, 141 .

AMA Style

Shufeng Chen, Chengchun Sun, Wenliang Wu, Changhong Sun. Water Leakage and Nitrate Leaching Characteristics in the Winter Wheat–Summer Maize Rotation System in the North China Plain under Different Irrigation and Fertilization Management Practices. Water. 2017; 9 (2):141.

Chicago/Turabian Style

Shufeng Chen; Chengchun Sun; Wenliang Wu; Changhong Sun. 2017. "Water Leakage and Nitrate Leaching Characteristics in the Winter Wheat–Summer Maize Rotation System in the North China Plain under Different Irrigation and Fertilization Management Practices." Water 9, no. 2: 141.

Journal article
Published: 20 June 2012 in Chinese Journal of Eco-Agriculture
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ACS Style

Shu-Feng Chen; Fan-Qiao Meng; Wen-Liang Wu. Nitrogen loss characteristics via runoff in typical rice planting area in North-east China under different planting managements. Chinese Journal of Eco-Agriculture 2012, 20, 728 -733.

AMA Style

Shu-Feng Chen, Fan-Qiao Meng, Wen-Liang Wu. Nitrogen loss characteristics via runoff in typical rice planting area in North-east China under different planting managements. Chinese Journal of Eco-Agriculture. 2012; 20 (6):728-733.

Chicago/Turabian Style

Shu-Feng Chen; Fan-Qiao Meng; Wen-Liang Wu. 2012. "Nitrogen loss characteristics via runoff in typical rice planting area in North-east China under different planting managements." Chinese Journal of Eco-Agriculture 20, no. 6: 728-733.

English abstract
Published: 01 December 2009 in Huan jing ke xue= Huanjing kexue
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ACS Style

Shu-Feng Chen; Wei Li; Ke-Lin Hu; Wen-Liang Wu; Zhao-Hui Chu; Wen-Feng Mao. [GIS-based analysis of spatio-temporal variability of groundwater nitrate concentration in high-yield region in North China Plain]. Huan jing ke xue= Huanjing kexue 2009, 30, 1 .

AMA Style

Shu-Feng Chen, Wei Li, Ke-Lin Hu, Wen-Liang Wu, Zhao-Hui Chu, Wen-Feng Mao. [GIS-based analysis of spatio-temporal variability of groundwater nitrate concentration in high-yield region in North China Plain]. Huan jing ke xue= Huanjing kexue. 2009; 30 (12):1.

Chicago/Turabian Style

Shu-Feng Chen; Wei Li; Ke-Lin Hu; Wen-Liang Wu; Zhao-Hui Chu; Wen-Feng Mao. 2009. "[GIS-based analysis of spatio-temporal variability of groundwater nitrate concentration in high-yield region in North China Plain]." Huan jing ke xue= Huanjing kexue 30, no. 12: 1.