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Within field spatial variation in methane emissions from lowland rice in Myanmar

Overview of attention for article published in SpringerPlus, March 2015
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Title
Within field spatial variation in methane emissions from lowland rice in Myanmar
Published in
SpringerPlus, March 2015
DOI 10.1186/s40064-015-0901-2
Pubmed ID
Authors

Aung Zaw Oo, Khin Thuzar Win, Sonoko Dorothea Bellingrath-Kimura

Abstract

An assessment of within field spatial variations in grain yield and methane (CH4) emission was conducted in lowland rice fields of Myanmar. Two successive rice fields (1(st) field and 2(nd) field) were divided into fertilized and non-fertilized parts and CH4 measurements were conducted at the inlet, middle and outlet positions of each field. The results showed that CH4 emissions at non-fertilized parts were higher than those at fertilized part in both rice fields. The average CH4 emissions ranged from 8.7 to 26.6 mg m(-2) h(-1) in all positions in both rice fields. The spatial variation in CH4 emission among the positions was high in both rice fields with the highest emissions in the outlet of the 1(st) field and the inlet of the 2(nd) field. The CH4 emissions at these two positions showed 2 - 2.5 times higher than those at other positions in both rice fields. Stepwise regression analysis indicates that soil total carbon content is the primary factor for CH4 emission. The average CH4 emissions during rice growing season were 13.5 mg m(-2) h(-1) for the 1(st) field and 15.7 mg m(-2) h(-1) for the 2(nd) field. Spearman rank order correlation analysis showed that CH4 emission was significantly and positively correlated with soil temperature, surface water depth and negatively correlated with soil redox potential. The result indicated that high within field spatial variation in CH4 emissions required different site specific management practices to mitigate CH4 emissions in lowland paddy rice soil.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Master 5 13%
Researcher 4 11%
Student > Postgraduate 3 8%
Student > Doctoral Student 2 5%
Other 6 16%
Unknown 9 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 32%
Environmental Science 6 16%
Earth and Planetary Sciences 5 13%
Biochemistry, Genetics and Molecular Biology 2 5%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 11 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2015.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from SpringerPlus
#1,461
of 1,851 outputs
Outputs of similar age
#223,038
of 263,459 outputs
Outputs of similar age from SpringerPlus
#52
of 62 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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