| Literature DB >> 27658406 |
Zhongdu Chen1, Fu Chen2,3, Hailin Zhang1, Shengli Liu1.
Abstract
The net global warming potential (NGWP) and net greenhouse gas intensity (NGHGI) of double-rice cropping systems are not well documented. We measured the NGWP and NGHGI including soil organic carbon (SOC) change and indirect emissions (IE) from double-crop rice fields with fertilizing systems in Southern China. These experiments with three different nitrogen (N) application rates since 2012 are as follows: 165 kgN ha-1 for early rice and 225 kgN ha-1 for late rice (N1), which was the local N application rates as the control; 135 kgN ha-1 for early rice and 180 kgN ha-1 for late rice (N2, 20 % reduction); and 105 kgN ha-1 for early rice and 135 kgN ha-1 for late rice (N3, 40 % reduction). Results showed that yields increased with the increase of N application rate, but without significant difference between N1 and N2 plots. Annual SOC sequestration rate under N1 was estimated to be 1.15 MgC ha-1 year-1, which was higher than those under other fertilizing systems. Higher N application tended to increase CH4 emissions during the flooded rice season and significantly increased N2O emissions from drained soils during the nonrice season, ranking as N1 > N2 > N3 with significant difference (P < 0.05). Two-year average IE has a huge contribution to GHG emissions mainly coming from the higher N inputs in the double-rice cropping system. Reducing N fertilizer usage can effectively decrease the NGWP and NGHGI in the double-rice cropping system, with the lowest NGHGI obtained in the N2 plot (0.99 kg CO2-eq kg-1 yield year-1). The results suggested that agricultural economic viability and GHG mitigation can be simultaneously achieved by properly reducing N fertilizer application in double-rice cropping systems.Entities:
Keywords: Global warming; NGHGI; NGWP; Nitrogen application rates; Rice paddy; SOC stocks
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Year: 2016 PMID: 27658406 DOI: 10.1007/s11356-016-7455-x
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 4.223