Soil nitrous oxide emissions most sensitive to fertilization history during a laboratory incubation

2020 ◽  
Vol 100 (4) ◽  
pp. 479-487
Author(s):  
Mekonnen Giweta ◽  
Miles Dyck ◽  
Sukhdev S. Malhi ◽  
Dick Puurveen ◽  
S.A. Quideau

A 12 wk laboratory incubation examined the effects of application of various nitrogen (N) and sulfur (S) fertilizers on soil plant-available nutrient levels and nitrous oxide (N2O) gas emissions with respect to soil fertilization history using soils sampled from the University of Alberta Breton Classical Plots. Fertilization history and added fertilizer treatments showed significant effects on N2O emissions and NO3−-N and SO4−-S recovered on ion-exchange resins over the 12 wk. Mean cumulative N2O emissions ranged from 0.43 to 1.18 kg N2O-N ha−1. The relationship between observed total resin-recovered NO3−-N and N2O emissions was not consistent for soils receiving long-term applications of various combinations of N, phosphorus, potassium, and S fertilizers. The N2O emission from two soils with a history of long-term N fertilizer applications but different S fertilization histories was significantly different even though resin-recovered NO3−-N levels were similar. When grouped according to added fertilizer treatments, mean cumulative N2O emissions showed a strong linear relationship with mean resin-adsorbed NO3−-N production. We hypothesize that the differences in the relationship between NO3−-N production and N2O-N emissions for soils with different long-term fertilization histories may be a result of the interaction of N and S oxidation processes. Further, soil fertilization history may significantly influence soil N2O emissions in response to N fertilizers added within the growing season of observation but isn’t often considered in short-term experiments, and this may be a significant source of uncertainty in the estimation of greenhouse gases inventories from agricultural soils.

2015 ◽  
Vol 146 ◽  
pp. 213-222 ◽  
Author(s):  
Cimélio Bayer ◽  
Juliana Gomes ◽  
Josiléia Accordi Zanatta ◽  
Frederico Costa Beber Vieira ◽  
Marisa de Cássia Piccolo ◽  
...  

2018 ◽  
Vol 254 ◽  
pp. 69-81 ◽  
Author(s):  
Philippe Rochette ◽  
Chang Liang ◽  
David Pelster ◽  
Onil Bergeron ◽  
Reynald Lemke ◽  
...  

2018 ◽  
Vol 8 (10) ◽  
pp. 4958-4966 ◽  
Author(s):  
Rose M. Martin ◽  
Cathleen Wigand ◽  
Elizabeth Elmstrom ◽  
Javier Lloret ◽  
Ivan Valiela

2018 ◽  
Vol 262 ◽  
pp. 36-47 ◽  
Author(s):  
Daniel Plaza-Bonilla ◽  
Jorge Álvaro-Fuentes ◽  
Javier Bareche ◽  
Evangelina Pareja-Sánchez ◽  
Éric Justes ◽  
...  

2015 ◽  
Vol 154 (2) ◽  
pp. 223-241 ◽  
Author(s):  
D. L. GILTRAP ◽  
A. J. R. GODFREY

SUMMARYChamber sampling is a common method for measuring nitrous oxide (N2O) emissions from agricultural soils. However, for grazed pastures, the patchy nature of urine deposition results in very high levels of spatial variability in N2O emissions. In the present study, the behaviour of the sample mean was examined by simulating a large number (9999) of random N2O chamber samples under different assumptions regarding the underlying N2O distribution. Using sample sizes of up to 100 chambers, the Central Limit Theorem did not apply. The distribution of the sample mean was always right-skewed with a standard deviation varying between 12·5 and 135% of the true mean. However, the arithmetic mean was an unbiased estimator and the mean of the sample mean distribution was close to the true mean of the simulated N2O distribution. The properties of the sample mean distribution (variance, skewness) were affected significantly by the assumed distribution of the emission factor, but not by distribution of the urine patch concentration. The geometric mean was also investigated as a potential alternative estimator. However, although its distribution had lower variance, it was also biased. Two methods for bias correcting the mean were investigated. These methods reduced the bias, but at the cost of increasing the variance. Neither of the bias-corrected estimators were consistently better than the arithmetic mean in terms of skewness and variance. To improve the estimation of N2O emissions from a grazed pasture using chambers, techniques need to be developed to identify urine patch and non-urine patch areas before sampling.


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