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Geoderma
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Geoderma
Article . 2019 . Peer-reviewed
License: Elsevier TDM
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Modelling greenhouse gas emissions and mitigation potentials in fertilized paddy rice fields in Bangladesh

Authors: Khadiza Begum; Matthias Kuhnert; Jagadeesh B. Yeluripati; Stephen M. Ogle; William J. Parton; Stephen A. Williams; Genxing Pan; +3 Authors

Modelling greenhouse gas emissions and mitigation potentials in fertilized paddy rice fields in Bangladesh

Abstract

Abstract Emissions of greenhouse gases (GHG) from paddy rice are significant, so reducing these emissions has significant potential for climate change mitigation. We investigated alternate wetting and drying (AWD) as part of an integrated management approach to enhance mitigation, together with combinations of mineral nitrogen (N), reduced tillage, a suitable combination of plant residues and well decomposed manure. To quantify GHG emissions, and the potential for mitigation without yield decline, a process-based model, DayCent was used to simulate methane (CH4) and nitrous oxide (N2O) emissions from paddy rice (Oryza sativa L.) in Bangladesh. The four test sites selected were amended with mineral N fertilizer or an organic amendment (rice straw). A good agreement (p

Country
United Kingdom
Keywords

/dk/atira/pure/subjectarea/asjc/1100/1111, 570, daycent, Soil Science, Greenhouse gas, soil, Paddy soil, water management, SDG 13 - Climate Action, SDG 2 - Zero Hunger, organic-matter, agriculture, ecosystem, Bangladesh, GE, paddy soil, methane, N2O, Mitigation potential, nitrous-oxide emissions, Water management, greenhouse gas, climate-change, systems, mitigation potential, GE Environmental Sciences

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
Green
hybrid