Spatially explicit estimates of N2O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management

With increasing nitrogen (N) application to croplands required to support growing food demand, mitigating N2O emissions from agricultural soils is a global challenge. National greenhouse gas emissions accounting typically estimates N2O emissions at the country scale by aggregating all crops, under t...

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Bibliographic Details
Published in:Global change biology 2016-10, Vol.22 (10), p.3383-3394
Main Authors: Gerber, James S., 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: Article
Language:English
Subjects:
Climate change
Emissions
Estimates
flooded rice
greenhouse gas
Greenhouse gases
Life Sciences
manure
meta-analysis
N2O
Nitrogen
nitrous oxide
Pastures
sustainable agriculture
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Summary:With increasing nitrogen (N) application to croplands required to support growing food demand, mitigating N2O emissions from agricultural soils is a global challenge. National greenhouse gas emissions accounting typically estimates N2O emissions at the country scale by aggregating all crops, under the assumption that N2O emissions are linearly related to N application. However, field studies and meta‐analyses indicate a nonlinear relationship, in which N2O 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 N2O emissions from croplands. We estimate 0.66 Tg of N2O‐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 N2O 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 N2O emissions suggests that relatively large increases in N fertilizer application would generate relatively small increases in N2O emissions. As aggregated fertilizer data generate underestimation bias in nonlinear models, high‐resolution N application data are critical to support accurate N2O emissions estimates.
ISSN:1354-1013
1365-2486
DOI:10.1111/gcb.13341