Methane and nitrous oxide emissions from Indian rice paddies, agricultural soils and crop residue burning

2013 ◽  
Vol 3 (3) ◽  
pp. 196-211 ◽  
Author(s):  
Arti Bhatia ◽  
Niveta Jain ◽  
Himanshu Pathak
Keyword(s):  
Nitrous Oxide ◽  
Crop Residue ◽  
Agricultural Soils ◽  
Nitrous Oxide Emissions ◽  
Rice Paddies ◽  
Crop Residue Burning

Interactive effects of soil texture and salinity on nitrous oxide emissions following crop residue amendment

Geoderma ◽  
2019 ◽  
Vol 337 ◽  
pp. 1146-1154 ◽  
Author(s):  
Yongxiang Yu ◽  
Chengyi Zhao ◽  
Ningguo Zheng ◽  
Hongtao Jia ◽  
Huaiying Yao
Keyword(s):  
Nitrous Oxide ◽  
Soil Texture ◽  
Crop Residue ◽  
Interactive Effects ◽  
Nitrous Oxide Emissions

Soil nitrous oxide emissions from agricultural soils in Canada: Exploring relationships with soil, crop and climatic variables

2018 ◽  
Vol 254 ◽  
pp. 69-81 ◽  
Author(s):  
Philippe Rochette ◽  
Chang Liang ◽  
David Pelster ◽  
Onil Bergeron ◽  
Reynald Lemke ◽  
...  
Keyword(s):  
Nitrous Oxide ◽  
Agricultural Soils ◽  
Climatic Variables ◽  
Nitrous Oxide Emissions

Methane and Nitrous Oxide Emissions Reduced Following Conversion of Rice Paddies to Inland Crab–Fish Aquaculture in Southeast China

2015 ◽  
Vol 50 (2) ◽  
pp. 633-642 ◽  
Author(s):  
Shuwei Liu ◽  
Zhiqiang Hu ◽  
Shuang Wu ◽  
Shuqing Li ◽  
Zhaofu Li ◽  
...  
Keyword(s):  
Nitrous Oxide ◽  
Nitrous Oxide Emissions ◽  
Rice Paddies ◽  
Southeast China

Soil nitrous oxide emissions following crop residue addition: a meta-analysis

2013 ◽  
Vol 19 (10) ◽  
pp. 2956-2964 ◽  
Author(s):  
Huaihai Chen ◽  
Xuechao Li ◽  
Feng Hu ◽  
Wei Shi
Keyword(s):  
Nitrous Oxide ◽  
Crop Residue ◽  
Meta Analysis ◽  
Nitrous Oxide Emissions

Methane and nitrous oxide emissions from direct-seeded and seedling-transplanted rice paddies in southeast China

2013 ◽  
Vol 374 (1-2) ◽  
pp. 285-297 ◽  
Author(s):  
Shuwei Liu ◽  
Yaojun Zhang ◽  
Feng Lin ◽  
Ling Zhang ◽  
Jianwen Zou
Keyword(s):  
Nitrous Oxide ◽  
Nitrous Oxide Emissions ◽  
Rice Paddies ◽  
Southeast China ◽  
Transplanted Rice ◽  
Direct Seeded

The effects of spatial variability of nitrous oxide emissions from grazed pastures on the sampling distribution of chamber measurements

2015 ◽  
Vol 154 (2) ◽  
pp. 223-241 ◽  
Author(s):  
D. L. GILTRAP ◽  
A. J. R. GODFREY
Keyword(s):  
Nitrous Oxide ◽  
Spatial Variability ◽  
Agricultural Soils ◽  
Geometric Mean ◽  
Arithmetic Mean ◽  
Nitrous Oxide Emissions ◽  
Sample Mean ◽  
Grazed Pastures ◽  
Urine Patch ◽  
The Mean

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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