Spatially explicit estimates of N2 O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management

© 2016 John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 22(2016), 10 vom: 17. Okt., Seite 3383-94
1. Verfasser: Gerber, James S (VerfasserIn)
Weitere Verfasser: Carlson, Kimberly M, Makowski, David, Mueller, Nathaniel D, Garcia de Cortazar-Atauri, Iñaki, Havlík, Petr, Herrero, Mario, Launay, Marie, O'Connell, Christine S, Smith, Pete, West, Paul C
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article N2O climate change emissions flooded rice greenhouse gas manure meta-analysis nitrogen nitrous oxide mehr... sustainable agriculture Fertilizers Nitrous Oxide K50XQU1029 Nitrogen Dioxide S7G510RUBH
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100 1 |a Gerber, James S  |e verfasserin  |4 aut 
245 1 0 |a Spatially explicit estimates of N2 O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management 
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520 |a With increasing nitrogen (N) application to croplands required to support growing food demand, mitigating N2 O emissions from agricultural soils is a global challenge. National greenhouse gas emissions accounting typically estimates N2 O emissions at the country scale by aggregating all crops, under the assumption that N2 O emissions are linearly related to N application. However, field studies and meta-analyses indicate a nonlinear relationship, in which N2 O emissions are relatively greater at higher N application rates. Here, we apply a super-linear emissions response model to crop-specific, spatially explicit synthetic N fertilizer and manure N inputs to provide subnational accounting of global N2 O emissions from croplands. We estimate 0.66 Tg of N2 O-N direct global emissions circa 2000, with 50% of emissions concentrated in 13% of harvested area. Compared to estimates from the IPCC Tier 1 linear model, our updated N2 O emissions range from 20% to 40% lower throughout sub-Saharan Africa and Eastern Europe, to >120% greater in some Western European countries. At low N application rates, the weak nonlinear response of N2 O emissions suggests that relatively large increases in N fertilizer application would generate relatively small increases in N2 O emissions. As aggregated fertilizer data generate underestimation bias in nonlinear models, high-resolution N application data are critical to support accurate N2 O emissions estimates 
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650 4 |a climate change 
650 4 |a emissions 
650 4 |a flooded rice 
650 4 |a greenhouse gas 
650 4 |a manure 
650 4 |a meta-analysis 
650 4 |a nitrogen 
650 4 |a nitrous oxide 
650 4 |a sustainable agriculture 
650 7 |a Fertilizers  |2 NLM 
650 7 |a Nitrous Oxide  |2 NLM 
650 7 |a K50XQU1029  |2 NLM 
650 7 |a Nitrogen Dioxide  |2 NLM 
650 7 |a S7G510RUBH  |2 NLM 
700 1 |a Carlson, Kimberly M  |e verfasserin  |4 aut 
700 1 |a Makowski, David  |e verfasserin  |4 aut 
700 1 |a Mueller, Nathaniel D  |e verfasserin  |4 aut 
700 1 |a Garcia de Cortazar-Atauri, Iñaki  |e verfasserin  |4 aut 
700 1 |a Havlík, Petr  |e verfasserin  |4 aut 
700 1 |a Herrero, Mario  |e verfasserin  |4 aut 
700 1 |a Launay, Marie  |e verfasserin  |4 aut 
700 1 |a O'Connell, Christine S  |e verfasserin  |4 aut 
700 1 |a Smith, Pete  |e verfasserin  |4 aut 
700 1 |a West, Paul C  |e verfasserin  |4 aut 
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773 1 8 |g volume:22  |g year:2016  |g number:10  |g day:17  |g month:10  |g pages:3383-94 
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