scholarly journals Correction to: Biostimulants decreased nitrogen leaching and NH3 volatilization but increased N2O emission from plastic-shed greenhouse vegetable soil

Author(s):  
Jiyuan Xu ◽  
Ju Min ◽  
Haijun Sun ◽  
Bhupinder Pal Singh ◽  
Hailong Wang ◽  
...  
2019 ◽  
Vol 655 ◽  
pp. 284-291 ◽  
Author(s):  
Fengbo Li ◽  
Jinfei Feng ◽  
Xiyue Zhou ◽  
Chunchun Xu ◽  
M. Haissam Jijakli ◽  
...  

2019 ◽  
Vol 11 (22) ◽  
pp. 6219
Author(s):  
Zheng ◽  
Liu ◽  
Nie ◽  
Zuo ◽  
Wang

Active nitrogen loss mainly includes ammonia (NH3) volatilization, nitrous oxide (N2O) emission, NO3−-N and NH4+-N deep leakage (N leaching), and NO3−-N and NH4+-N surface runoff (N runoff), resulting in serious environmental problems. To analyze the characteristics of active nitrogen loss in the four pathways on sloped farmland under conventional fertilization, six lysimeters with a slope of 8° were used. Losses due to NH3 volatilization, N2O emission, N leaching, and N runoff were investigated after urea application on a peanut field with red soil in China during the growing season from 2017–2018. Results reveal that at conventional nitrogen levels of 150 and 172 kg hm−2, the total active nitrogen loss caused by fertilization accounting for the total nitrogen applied was 5.57% and 14.21%, respectively, with the N2O emission coefficients of 0.18% and 0.10%, respectively; the NH3 volatilization coefficients of 2.24% and 0.31%, respectively; the N leakage loss rates of 3.07% and 10.50%, respectively; and the N runoff loss rates of 0.08% and 3.30%, respectively. The dry year was dominated by leaching and NH3 volatilization, while the wet year was dominated by leaching and runoff; the base fertilizer period was dominated by leakage, while the topdressing period was dominated by leakage and runoff, which suggests that the loss of active nitrogen in the soil-peanut system on a sloped red soil was mainly affected by rainfall and fertilization methods. Taken together, reasonable fertilization management and soil and water conservation measures appear to be effective in minimizing the loss of active nitrogen from nitrogen fertilizer.


1993 ◽  
Vol 41 (2) ◽  
pp. 63-80 ◽  
Author(s):  
O. Oenema ◽  
G.L. Velthof

Lowering the pH of cattle slurry with HNO3 was used to reduce NH3 volatilization during storage and after application. Incubation studies were carried out to examine possible NO3 losses and N2O emission from HNO3 treated slurry during storage. Batches of cattle slurry were treated with various amounts of HNO3 to obtain a pH range of 6.0 to 3.0. The slurries were stirred once or twice a week and stored for 6 months at 15 degrees C. Changes in pH, Eh, NO3- and NH4+ concn, and emissions of N2O, CO2 and CH4 were monitored. The loss of NO3- and the emission of N2O were related to slurry pH, being lowest at low pH. Cumulative loss of NO3- ranged from ~40 mmol/kg for slurries of target pH < or =>5.0 to ~400 mmol/kg for slurries of target pH 6.0. Homogenization of the slurries via stirring and addition of H2O2 decreased NO3- loss and H+ consumption. The strong pH dependence of NO3- loss, the production of N2O and the stoichiometry of H+ consumption and NO3- loss indicated that the loss of NO3- was mainly due to microbiological denitrification. Similar N2O production rates in the presence and absence of C2H2 indicated that nitrification was not an important source of N2O. It is concluded that lowering the pH to values 4.5 as well as regular and complete homogenization of the slurry via stirring are important for the success of the on-farm treatment of slurry with HNO3.


2011 ◽  
Vol 44 (6) ◽  
pp. 1232-1238
Author(s):  
Gun-Yeob Kim ◽  
Hyun-Cheol Jeong ◽  
Min-Kyeong Kim ◽  
Kee-An Roh ◽  
Deog-Bae Lee ◽  
...  

Author(s):  
Xinli Wang ◽  
Yun Wang ◽  
Fei Zhu ◽  
Chi Zhang ◽  
Peiyao Wang ◽  
...  

Land-use types with different disturbance gradients show many variations in soil properties, but the effects of different land-use types on soil nitrifying communities and their ecological implications remain poorly understood. Using 13CO2-DNA-based stable isotope probing (DNA-SIP), we examined the relative importance and active community composition of ammonia-oxidizing archaea (AOA) and bacteria (AOB), and nitrite-oxidizing bacteria (NOB) in soils under three land-use types, forest, cropland, and greenhouse vegetable soil, representing three interference gradients. Soil net nitrification rate was in the order forest soil > cropland soil > greenhouse vegetable soil. DNA-SIP showed that active AOA outcompeted AOB in the forest soil, whereas AOB outperformed AOA in the cropland and greenhouse vegetable soils. Cropland soil was richer in NOB than in AOA and AOB. Phylogenetic analysis revealed that ammonia oxidation in the forest soil was predominantly catalyzed by the AOA Nitrosocosmicus franklandus cluster within the group 1.1b lineage. The 13C-labeled AOB were overwhelmingly dominated by Nitrosospira cluster 3 in the cropland soil. The active AOB Nitrosococcus watsonii lineage was observed in the greenhouse vegetable soil, and it played an important role in nitrification. Active NOB communities were closely affiliated with Nitrospira in the forest and cropland soils, and with Nitrolancea and Nitrococcus in the greenhouse vegetable soil. Canonical correlation analysis showed that soil pH and organic matter content significantly affected the active nitrifier community composition. These results suggest that land-use types with different disturbance gradients alter the distribution of active nitrifier communities by affecting soil physicochemical properties. IMPORTANCE Nitrification plays an important role in the soil N cycle, and land-use management has a profound effect on soil nitrifiers. It is unclear how different gradients of land use affect active ammonia-oxidizing archaea and bacteria and nitrite-oxidizing bacteria. Our research is significant because we determined the response of nitrifiers to human disturbance, which will greatly improve our understanding of the niche of nitrifiers and the differences in their physiology.


2019 ◽  
Vol 6 (2) ◽  
pp. 83-90
Author(s):  
Yingliang Yu ◽  
◽  
Linzhang Yang ◽  
Lihong Xue

2018 ◽  
Vol 49 (5) ◽  
pp. 537-551 ◽  
Author(s):  
Mariko Ingold ◽  
Gunadhish Khanal ◽  
Jens Dyckmans ◽  
Christine Wachendorf ◽  
Andreas Buerkert

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